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Wood is biomass made from lignocellulose, the main raw material for pulp production, both species of hardwood and softwood. Utilization of as much wood as possible, including less-known wood species, is widely open because the availability of good quality wood for industry raw materials is increasingly limited. In general, all wood species can be used for paper pulp. But the selection of types of lignocellulosic material with specific properties, such as physical, anatomical and chemical, play an important role in efficiently using wood as raw materials for pulp and paper. This research was carried out to examine wood properties (specific gravity, fiber quality and cellulose content) of four less-known hardwoods from natural tropical rainforest in South Sulawesi province of Indonesia and assessed their potential use for paper pulp. Those hardwood species comprised of cempedak (Artocarpus integer Merr.), jabon merah (Anthocephalus macrophyllus Hav.), saling-saling (Artocarpus teysmanii Miq.) and simpur (Dillenia serrata Thunb.). The specific gravity determined by the weight of oven dried wood and volume of air dried wood where the wood volume be measured by water immersion method, the fiber dimensions measured through maceration preparations which was made using the Franklin procedure, while TAPPI method used for chemical analysis. In condition to paper pulp raw material, the specific gravity (0.40 – 0.69) is categorized as moderate, the fiber quality is classified as good (class II), and cellulose content (40.12% - 52.47%) is categorized as moderate to high for all those less-known hardwoods. All four less-known hardwoods studied potentially use for paper pulp raw materials. But simpur has the most potential due to long fiber and higher specific gravity. [ABSTRACT FROM AUTHOR]

There are three types of Level Crossing, including gated gateless and unregistered. Currently, in Indonesia there are many Level Crossings found. Government of Indonesia trying to reduce the number of Level Crossing by closing unnecessary one. However, since currently there is no technical guideline regarding the analysis of closure adjacent Level Crossing, this paper proposes the justification method to quantitatively calculate the impact (benefit and disbenefit) of the closure of the adjacent Level Crossing so that it can be used to evaluate the existence of Level Crossing. The proposed method is by adopting the existed "before and after" analysis in road analysis resumed from several references including textbook, manual, guidelines, and papers. The variable that needs to be considered including vehicle operating ratio, time value and accident cost known as generalized cost. The result is that the impact of closure of unnecessary Level Crossing can be quantified by subtraction the generalized cost of existed condition to planned condition. [ABSTRACT FROM AUTHOR]

In a pandemic outbreak such as COVID-19, that spreads widely around the world requires in depth research to predict the pattern of its spread and strategies to reduce the number of spreads. Predictive control is a mathematical approach to control systems where a model is used to make predictions about the future behavior of a system, and these predictions are then used to determine the control actions that should be taken. Based on these predictions, control measures such as lockdowns and social distancing could be optimized to reduce the spread of the virus and minimize its impact. A dynamic model is needed for quick and precise handling decisions. Mathematical models Epidemiology can be used in various fields, the implementation of which is COVID-19. The presentation of a dynamical system can use the basic compartment model, in which critical 퐶 and death 풟 states are considered, addressing more possibilities of mutual transitions between compartment states. 풮ℰℐℛ풞풟 estimates and forecasts the COVID-19 spread under uncertainties and constraints. This paper focuses on This paper focuses on fit and predict the 풮ℰℐℛ풞풟 model with time dependent basic reproduction numbers and health resource-dependent death rates to real COVID-19 data in Indonesia. Data have been collected for a specific period of time, the best-fitting parameters have been obtained, and the changes in the basic reproduction number over time have been estimated. The presented model has included the transition probability of the infected state to the critical state and the transition probability of the critical state to the death state, based on different age groups, so that the number of hospital beds has also been cooperative in computing the compartment states. Using the best-fitting parameters of the 풮ℰℐℛ풞풟 model, the development of the compartment states in the near future was estimated. The simulation result shows that the obtained parameters of the 풮ℰℐℛ풞풟 model were reasonably satisfying where the simulated states from the model could fit the real data with a small degree of error so that it can be used to predict the path of further deployment. [ABSTRACT FROM AUTHOR]

In this paper, the evaluation of Fly Over "X" foundations will be discussed based on analytical and dynamic loading test whether the foundation meets safety criteria or not, and the strengthening of foundation are proposed in this paper. During the construction of Fly Over "X" substructure, it was found that the result of loading test of bore pile foundation in Pier 5 and Pier 18 did not meet the minimum requirements and specification. The loading test was carried out using Pile Driving Analyzer or PDA resulting in the ultimate bearing capacity of Pier 5 and Pier 18 foundation each are 397 Ton and 515 Ton, while the bearing capacity criteria need to meet is 675 Ton. In this paper, analytical and loading test evaluation of Fly Over "X" foundation is presented to determine whether the foundations are able to withstand external loads according to Indonesian Standard. Standard penetration test result also used to determine the allowable bearing capacity and total settlement of foundations. Based on the evaluation result, the foundation at Pier 5 and Pier 18 needs to be strengthened by adding each 12 piles and 16 piles surrounding the existing pile configuration so that the substructure can meet the safety criteria. The placement and construction method of new piles must consider the land availability, traffic management, and bridge clearance. [ABSTRACT FROM AUTHOR]

The water requirement for watering the garden is an essential factor, therefore maintaining the continued supply is necessary. Pumping water for gardens using Solar panels has been introduced in many applications. However, there is a drawback of using solar panels alone which the optimum time for radiation for Indonesia is around 5 to 6 hours only. Moreover, cloudy conditions could reduce the number of radiation hitting the solar panel. In this paper, the use of Savonius Turbine to pump water mechanically is employed to maximize the supply of water to the garden. The water supply is fed from the Savonius Turbine while when the wind speed is low enough (less than 3 m/s), water supply will be fed from the water reservoir by opening the tap from 50% when the wind speed between 3 to 6 m/s, or 100% when wind speed less than 3 m/s. The tap will be closed when wind speed achieves 6 m/s. This paper aims to investigate the performance of the coordination between the manual pump that is mechanically operated by Savonius Turbine and the level of the opened tap of the water reservoir. The solar panel is operated based on the level of the water reservoir. If the level of water in the reservoir is below 10cm, the DC water pump will operate to fill the reservoir and stop when it's full. The coordination and data acquisition are done and collected by a microcontroller. From the performance test, it could be concluded that the whole system could work properly based on the implemented design and manufacture. [ABSTRACT FROM AUTHOR]

In recent years, with the increase of online learning platforms, obtaining learning behavior data from students, are becoming easy. However, analyzing the data to extract meaningful information remains challenging due to the data volume and complexity. Here, we apply Self-organizing Maps (SOM) to visualize the learning characteristics of many elementary students over many online assignments in mathematics class. As a case study, this research used the data log of MONSAKUN, a digital learning environment that focuses on exercising arithmetic using story-based questions by using a problem-posing approach with the integration of mathematical sentences. Our primary objective is to give intuitive understanding to the teachers regarding the students' performance that subsequently allows the teachers to generate meaningful advices. Here, SOM generates a two-dimensional map that preserved the topological order of high-dimensional learning characteristics data, in which students with similar learning characteristics are located close to each other, while students with significantly different characteristics are distanced from each other. We are interested especially in locating low-performing students, as they are the most important to be given advice by the teachers. By locating the low-performing students and other students in their vicinity on the map, the teacher may be able to use other students as references for improving the low-performing students' performances. The idea is to mimic the learning characteristics of the students designated as references. Due to the learning characteristics similarity, the low-performing students do not need to make drastic changes in their learning styles. It can be expected that by iterating this process over many assignments, the students' performances will gradually be improved. In this paper, we utilized a digital learning platform MONSAKUN, for learning arithmetic used in Japan. In this paper, we present our preliminary results in the form a learning-visualization of characteristics students of analytical and advisory tools and described our future goals for building a more flexible and general tool that can be deployed in Indonesia. [ABSTRACT FROM AUTHOR]

Performance based design is believed to be the next important alternative design method for designing high rise building in Indonesia. This method can also be used to evaluate existing building in order to check the building's performance level. This paper will discuss HALIM High Speed Railway Station project, which is a train station consist of 3 stories with a 226,8 meters long railway on the third floor. Jakarta Building Authority/TABG (Tim Ahli Bangunan Gedung) considers HALIM Station also as a bridge infrastructure rather than just an ordinary building; and not to mention that HALIM Station is the first high-speed railway station in Indonesia. Therefore, in order to make sure the structural safety, TABG requested to do a Performance Based Design analysis to check the response modification factor (R) and its performance level. While there are several ways to perform performance based design, this paper will use non-linear static pushover analysis only. Pushover analysis will be applied on the model based on seismic parameters referred to Indonesian code SNI 1726:2012 and also SNI 1726:2019 even though HALIM Station have been designed before the SNI 1726:2019 is enforced thoroughly. The result shows that all the code methods used on pushover analysis give the same Immediate Occupancy (IO) performance level category. Furthermore, the response modification factor (R) obtained by pushover analysis is greater than the originally defined. Thus, the structural design using the original response modification factor of 8 is on the safe side. [ABSTRACT FROM AUTHOR]

One of the main problems faced in the property management industry especially in Indonesia is limited knowledge or even ignorance of the important role of information technology and information systems in supporting and developing their business. Whereas in a world that is currently heading towards the digital industry and the trend of industry 4.0 which is on the rise, IT and IS components are needed. This paper will explain the important role of IT and IS to help understand their use, and how they can help businesses to grow in the property management industry which is increasingly competitive. The research method used in compiling this paper is in the form of observation of problems in the field. The result of this research is an Information Technology Support Model in the use of information technology to support the property management business. [ABSTRACT FROM AUTHOR]

As a result of the advancement of technology, Indonesia's focus has shifted to the enhancement and simplification of everyday transactions. This is highly common in the widespread use of e-wallets as a payment method for digital transactions involving multiple verification methods, including PIN, Password, Face Recognition and others. This study was conducted by distributing questionnaires to 385 respondents from generation Z in Indonesia who utilized face recognition as a security verification method for digital transactions. The purpose of this paper is to demonstrate the security and efficacy of facial recognition in digital wallet payment verification applications as experienced by users. With the use of the TAM model's analysis, it is proved that all the variables used are significantly related, allowing one to conclude that the safety and efficacy that are possessed are adequate. This paper also supports the growth of trust factors and reasonings for the usage of face recognition in digital transaction self-verification. [ABSTRACT FROM AUTHOR]

According to Indonesia's National Guidelines on Green Buildings (Kemen PUPR No,21,2021) called Penilaian Kinerja Bangunan Gedung Hijau (BGH), green buildings are mandatory for new and existing buildings. As environmental concerns grow, the Government uses these ratings to control energy consumption. A government initiative aims to increase demand for environmentally friendly buildings. This paper evaluates BGH's green building rating system for project certification in two Indonesian cities, Jakarta and Padang Paser Utara. Jakarta is the capital of Indonesia, the largest and one of the most populous urban city in Indonesia. Moreover, the new Indonesia capital city, Nusantara, will be built in Penajam Paser Utara, East Kalimantan. Using the results of this research, recommendations and suggestions can be given related to the design of green buildings both in Jakarta and Penajam Paser Utara. Evaluations will be conducted on simple residential buildings. The results of these studies indicate that designers and architects may have difficulty incorporating this rating systems into their designs. An evaluation of BGH ratings and sustainability analysis can be performed with building information modeling and a conceptual framework is presented toward the end of this paper. A rating system's success depends heavily on discussion among all stakeholders, including architects, engineers, environmentalists, governments, and communities. Indonesian experts in the building sector should take part in and contribute to this project. [ABSTRACT FROM AUTHOR]

The steel industries account for 6% of the world's CO2 emissions. The number of emissions will continue to increase as the steel industry in Indonesia grows. Generally, steel production uses blast furnaces which can produce large CO2 emissions. The blast furnace process emissions called blast furnace gas (BFG) contain 20.7% mol of CO2. The high CO2 content also causes the calorific value of the gas to be low, so the gas must be purified to increase its calorific value to be used for power generation. In addition, the steel industry also produces steel slag as waste with a high CaO content (45.2%) but with low economic value. To increase its economic value, CaO content can be used to absorb CO2 from BFG to produce Precipitated Calcium Carbonate (PCC). The use of PCC is very broad for various industrial needs, such as a filler in the paper industry which can increase paper brightness. Therefore, the "Precipitated Calcium Carbonate from Blast Furnace Gas and Steel Slag" plant is expected to be a solution to reduce CO2 emissions from the steel industry. BFG and steel slag as raw materials were obtained from PT. Krakatau Posco. The PCC production process consists of three main stages, namely: (1) Pre-Treatment Steel Slag; (2) Carbonation; and (3) Purification. In the pre-treatment stage, the pH-swing method was used to extract CaO with NH4Cl solvent using pH control. The use of NH4Cl solution is advantageous because it can be recycled. This process obtained a solution of CaCl2 and NH4OH, which was then reacted with CO2 from BFG in a bubble column reactor, resulting in a carbonation process. In the reactor, PCC (CaCO3) and several impurities are formed. The PCC solids formed will then be filtered, dried, and reduced in size so that the moisture content and size are under PCC specifications for the paper industry. Besides producing PCC, purified BFG will be recycled and used as fuel for power generation. The plant location is integrated with PT. Krakatau Posco in the industrial area, Cilegon, Banten, West Java, with a production capacity of 12,750 tons/year. From the results of the economic analysis, with the capital expenditure (capex) of about IDR 337 million and operational expenditure (OPEX) of about IDR 89 million: the payback period is about 6.35 years, and the break-even point (BEP) is 32.38%. [ABSTRACT FROM AUTHOR]

This study is based on the problem of microplastics found in water, where plastic packaging is now widely used in food and beverage packaging and raises social concerns about its health effects. The microplastics, small plastic particles with a size of 5 mm or less, found in the body can be toxic, cause hormonal imbalances, heart disease, infertility, and obesity. Research on methods for analyzing microplastics in water is still limited in Indonesia, this study identify and analyze the microplastic content in the drinking water and its saurce in Indonesia using raman spectroscopy method. The analysis of microplastics content was performed on various drinking water samples and their sources. The test included 7 water samples from different brands, water sources and different water bottle industries in Indonesia. Content analysis was performed in three stages, starting with the preparatory stage, the filtration process. The filtration process is performed using filter paper that matches the size of the sample to be inspected. In addition, various particles trapped in the filter paper were analyzed under a microscope to separate the microplastic particles. At last, a raman spectroscopy test was performed to determine the type of microplastics present in the contents of the water sample. Through the analysis and study of the content of various water samples carried out, the analyzed water content found various types of microplastics in the form of fragments, fibers, filaments, and films, most of which were PET (Polyethylene terephthalate). There are also found to be polypropylene and PVC (Polyvinyl chloride). [ABSTRACT FROM AUTHOR]

The need for renewable energy is highly increasing worldwide to fulfil energy demand as well as reduce the impact of global warming. Indonesia as the most extensive archipelago face real challenge to power its remote areas with green electricity. This paper assesses economically the idea of hybrid power plant of solar and/or biomass to electrify Indonesian remote areas with green electricity. Furthermore, the carbon credit as an additional income of this project is estimated using CDM methodology. The project is proposed in Sakti, Batukandik, and Batumadeg villages in Nusa Penida Island, Bali; the ER are 7460.57, 2587.10, and 9044.84 tCO2e/year, accordingly. The IRR is analyzed under two scenarios: the initial electricity cost of USD 0.15/kWh and the reduced cost of USD 0.10/kWh including carbon credits and biochar sales. The sensitivity analysis is conducted to observe the effect of most tentative variables towards the IRR. Furthermore, determining the feasibility of this project by analyzing the ERR is assessed to be important, whether it is profitable for the community or not. For the ERR analysis, there are two results calculations. The ERR value with the application of carbon credits shows 32.66%. In comparison, the ERR value without the application of carbon credits shows 28.19%. These values are obtained from several parameter calculations in the ERR analysis in this study. It consists of a consumer surplus, which is computed from the benefits obtained by PLN. Then, the producer surplus and job increases are computed from the benefits obtained by the community if this project is executed. This paper result has essential role in contribution to social, economic, and environmental goal for sustainable development and supporting national economic activities. [ABSTRACT FROM AUTHOR]

COVID 19 disease has spread worldwide, disrupting the economy, society, education, and health. It became crucial to understand the transmission curve and identify the best action in combating this highly transmissible epidemic. Epidemiological parameters of the deterministic Susceptible-Infected-Removed (SIR) model are widely used in explaining the characteristics and behavior of the disease spreading. Disease like COVID-19 is highly influenced by the uncontrolled factors of randomness, hence in this paper, the deterministic susceptible-infected-recovered-death (SIRD) model is extended to the stochastic SIRD (SSIRD) model. SSIRD model takes into consideration the noisy behavior of the process which explains the uncontrolled effects of the COVID-19 outbreak. The epidemiological parameter of the model changes throughout the epidemic due to external factors such as enforcement and public obedience to the control measures as well as the changes in healthcare facilities. These parameters need to be estimated. This paper estimates the epidemiological parameters of the SSIRD model using the Markov Chain Monte Carlo (MCMC) method of the Metropolis Hasting algorithm. The COVID-19 data from Malaysia and Indonesia are used and the dynamical behavior of the COVID-19 outbreak in both countries is simulated. The results show the parameter changing due to the uncontrolled factors influencing the trend of the pandemic curve. [ABSTRACT FROM AUTHOR]

The implementation of Community Activities Restrictions Enforcement (PPKM) during the Covid-19 pandemic reduced activities in the transportation sector. This paper presents the measurement of Carbon Monoxide (CO) concentrations during the PPKM in Makassar City, Indonesia. The samples were collected weekly from August to September 2021 from two traffic-heavy roads using Tedlar bags and a vacuum pump and then analyzed using the Non-Dispersive Infrared method (NDIR). Results showed that the average concentrations of CO on the first street in the morning, midday, and afternoon were 826.63±83.34 µg/m3, 685.65±57.43 µg/m3, 861.6±59.79 µg/m3, respectively; and on the second street were 875.46±77.80 µg/m3, 741.80±62.95 µg/m3, 833.04±44.80 µg/m3, respectively. These CO concentrations measured during the PPKM are lower than those measured before the PPKM on the same sites, reported in another paper. The concentrations are also much lower than those of the Air Quality Standard in Makassar, 30,000 µg/m3. This finding implies that similar policies to reduce traffic and pollution, such as car-free-day, should be enacted to improve air quality. [ABSTRACT FROM AUTHOR]

Urban planners often have a good vision for the urban environment, but that vision is usually limited to visual aesthetics. The sound-based qualitative perspective of the urban environment, which includes sonic and ecological diversity in urban design, is generally ignored. The soundscape approach can be the most effective system for application in urban planning. This paper aims to apply the soundscape approach to urban planning and explore the impact of sound on the formation of urban open spaces through a case study of the Surakarta City parks Indonesia. A mixture of quantitative and qualitative research methods was used. The quantitative method was used to measure background noise using a sound level meter and visualize with a surfer mapping software. The qualitative method was used to observe behavior, the physical environment and perception through interviews. In this context, the paper concludes that the concept of the soundscape is a well-established theme in acoustic environments to identify acoustic data that is compared with the human perception of the environment. Human perceptions of the natural environment and elements of natural sounds, as physical factors, can shape human settlements into a better living environment. [ABSTRACT FROM AUTHOR]

Advancements in technology are a double-edged sword in terms of nuclear safety and security. In recent years, the increased use of drones or unmanned aerial vehicles (UAV) has created both opportunities and new threats to nuclear security. UAV intervention has a wide range of applications that could be a threat to nuclear facility, including aerial shooting, the possibility of stealth smuggling of prohibited substances and objects both to and from nuclear facility protected areas, or sabotage with potential damage to critical infrastructure elements, blackouts, and looting. As a result, nuclear facilities that lack effective means of detecting and combating UAV may be vulnerable to the spread of dangerous materials and terrorist sabotage attacks. Considering the various UAV threats, nuclear facilities must take practical measures to protect themselves at the facility level based on the established UAV threat criteria such as early detection and identification, appropriate response and disablement measures. The action taken to ensure that a nuclear facility is prepared to withstand UAV threat include ensuring that regulations exist as a legal basis and that a nuclear facility has a Physical Protection System (PPS) capable of carrying out detect, delay, and response functions. Many international governments have issued warnings to small UAV (drones) owners, urging them to obtain official licenses before flying their photography drones. The use of UAVs in Indonesia is governed by Regulation of the Minister of Transportation of the Republic of Indonesia Number PM 27 of 2021, PM 37 of 2020, PM 63 of 2021, and PM 34 of 2021. The purpose of this paper is to examine the readiness of PPS in Serpong Nuclear Facility, and the result of this paper will be used as a recommendation for developing the PPS and/or the nuclear security regulation in Indonesia. [ABSTRACT FROM AUTHOR]

The implementation of green building is believed to be a key factor in achieving sustainable development in the building sector. The Green Building Council Indonesia is responsible for the development and deployment of green buildings in Indonesia, and has released version 1.2 of the Greenship rating tools for evaluating new green buildings. The use of renewable energy sources in green buildings is highly encouraged, with one point awarded for every 0.5% of energy usage covered by renewable energy, up to a maximum of five points. The installation of rooftop PV systems is a popular choice for renewable energy in many governmental green-rated buildings, but it is important to determine the ideal capacity to prevent overpriced installation costs. This paper proposes a method where the focus is on gaining maximum points in renewable energy and minimizing investment costs, rather than maximizing installed capacity. This approach can reduce capacity by up to 68%. Another important consideration is choosing the optimum grid connectivity type, and the paper discusses the options of on-grid or zero export schemes. Zero export scheme is chosen for this case since the capacity of the PV system is much smaller than the grid power connection. [ABSTRACT FROM AUTHOR]

The coronavirus disease 2019 (COVID-19) outbreak from Wuhan, China has spread very quickly in the world and caused many deaths. In Indonesia, the first case of COVID-19 was reported by the government in March 2020 then it became a pandemic disease. Estimating case increase rate (CIR) and case fatality rates (CFR) are important parameters for studying the basics of pandemic disease. In this paper, we analyse the case increase and case fatality rates of COVID-19 in Indonesia based on longitudinal data and average temperature by using biresponse local linear estimator. The characteristics of case increase and case fatality rates of COVID-19 in each province are different, so locally modeling is more appropriate. The result shows, on average, the highest rate of case increase was in July 2020 and the highest rate of case fatality in August 2020. This happened because of government policies that loosen social distancing programs and increased human mobility due to the holiday in the previous month. Based on average temperature, in November 2020, there were the lowest decreassing CIR and the highest increassing CFR because in November, it entered the rainy season which makes the average temperature lower. It means that the number of COVID-19 cases will be higher if the average temperature is lower. [ABSTRACT FROM AUTHOR]

The study in this paper analyzes the model of the spread of COVID-19 in Papua Province. The population is divided into five subpopulations, namely Suspected (S), Infected (I), Independent Isolation (Q1), Isolation provided by the Regional Government of Papua Province (Q2), and Recovered (R). Parameter values were obtained from COVID-19 data for June-August 2021 in Papua Province. The method for estimating the parameters in the model study uses the least square fitting technique and some of the parameters are taken from other journals, with data sources in Indonesia. Model analysis determines non-endemic stability points, and endemic models determine reproduction numbers. The model analyzed local and global asymptotic stability. The model solution is solved by using the fourth-order Runge-Kutta method. [ABSTRACT FROM AUTHOR]

One of the important macroeconomic indicators in Indonesia is inflation. Inflation is one of the factors affecting an economic growth, which is one of the SDG goals of 2030. The economy of a country can be disrupted if there is a rapidly fluctuation of inflation rate, so the movement of inflation rate becomes a matter that needs attention. One of the factors that affect inflation rate is a money supply, inflation occurs when the money supply grows faster the economy's ability to produce goods and services under normal circumstances. The change of the money supply affects the determination of inflation rate in a developing country, like Indonesia. Therefore, it is necessary to do modeling, where the results of the analysis can be taken into consideration by the government in determining appropriate policies and controlling inflation rate in Indonesia. In this paper, we use parametric and nonparametric approaches to predict inflation rate in Indonesia. Modeling using a parametric approach, the ARIMAX method is not suitable because it does not meet the assumptions. So that, the nonparametric approach using local polynomial estimator can be an alternative in overcoming this problem. Based on the result of analysis, ARIMAX model obtained a MAPE value as 20.220%, it means that the model reasonable for prediction and it is not suitable. Nonparametric regression using polynomial local includes local linier and local quadratic models with MAPE values obtained of 4.303% and 5.127%, it means that both models highly accurate for prediction. In conclusion, the best model for predicting inflation rate in Indonesia, with a money supply as a predictor, is local linear model because it has a smallest MAPE value. This model can be used by the government to determine policies about inflation rate and to control the amount of money supply in Indonesia so that high or very low inflation rate does not occur. [ABSTRACT FROM AUTHOR]

Earthquake is a phenomenon of vibration on the earth's surface due to the release of energy caused by shifting plates in the earth's crust or due to tectonic symptoms or volcanic activity that causes seismic waves. The seismic waves may cause building structures to experience collapsing or destruction because they capacity is lower than the seismic loads that occur at the moment. ideally, the physical infrastructure facilities of a region/city such as buildings, bridges, roads, and so on should be designed to endure seismic loads so that they can still carry out their service functions even though experiencing a decrease of their strength. The resilience of a city, as the ability of it to face the stresses of a disaster, survive and then return to its normal conditions, must be measured as a basis or tool for government to take a decision while the city is under seismic disaster. This paper focuses on classification of housing buildings in Surakarta City as a representation of cities in Indonesia for region resilience purposes. The classification process begins with building a database model for storing, manipulating and analyzing the housing data in MariaDB database management system platform installed at web server. The And roid application is developed for user interaction with system as a tool for data collection and connected with PHP scripting language as middleware to communicate with the web server. The application uses OpenStreetMap as Geographical Information Systems (GIS) API library to load map into application. The result is an And roid application called UrbanRes V.1 for housing data collection. The UrbanRes V.1 is designated for crowdsourcing data collection in the future. It is found that the majority buildings at Surakarta City are low-rise building which vary from one story to two story buildings and have 96.51% in proportion. The most used structures of building at Surakarta City are reinforced concrete with average around 75% for both column and beam. The data are then to be analyzed in term of the potential damage and loss estimation when a seismic disaster. [ABSTRACT FROM AUTHOR]

The university started the application of BIM learning in universities in developed countries ten years ago. However, the implementation has not been evenly distributed in several developing countries, including Indonesia. Researchers have carried out curriculum design research, and BIM implementation project studies can reference higher education in developing countries to adopt BIM learning. The author collects the names of courses that support BIM learning as a form of BIM curriculum development strategy in universities. This paper discusses 3 BIM curriculum development strategies that have been carried out by international universities so that they can be adopted in universities in developing countries. The strategies are 1) limited development of BIM courses, 2) adaptation of BIM to existing courses, and 3) a comprehensive BIM curriculum. Universities can apply this strategy in developing countries where universities still feel foreign to BIM. BIM curriculum development in higher education institutions needs to be prepared so that graduates can contribute to future development. [ABSTRACT FROM AUTHOR]

Technological developments in the industrial revolution 4.0 affect all professional fields, including the world of education. The world of education, especially vocational education, is required to create reliable prospective workers to face challenges in the industrial revolution 4.0. The automotive industry in Indonesia is experiencing rapid development, so a skilled workforce is needed. Teachers have a crucial role in achieving these goals. This paper aims to analyze the literacy of Vocational High School teachers of Automotive Light Vehicle Engineering Expertise Competencies towards digital and information skills in the industrial revolution 4.0. The study's results showed a high category of the literacy of Automotive Engineering Vocational High School teachers towards digital and information skills in the industrial revolution 4.0. Although overall, it is included in the high category, several indicators still show the low class and need to be improved. By knowing the literacy of Automotive Engineering Vocational High School teachers, action steps can be taken to improve teacher literacy so that the vocational education learning process in the industrial revolution 4.0 era can get maximum results. [ABSTRACT FROM AUTHOR]

Currently, Indonesia has been planning to build an Experimental Power Reactor (EPR) with a power of 10 MWth. The use of nuclear technology produces waste, among others in the form of liquid radioactive waste that requires processing. The existence of zeolite natural resources in Indonesia is quite abundant and the price is relatively cheap. Several studies have shown that zeolite can be used as an adsorbent for radioactive substances. This paper aims to obtain the pre-design of the liquid radioactive waste treatment unit and the treatment rate. The calculation basis used is secondary data in the form of the amount and characteristics of liquid radioactive waste (LRW) from 10 MWth EPR. Data processing includes the determination of the process, equipment specifications, layout design and economic evaluation. The results show that the initial waste is 2775 m3/year which has an activity of 9.02х104 Bq/L after being processed into 2794.27 m3/year with an activity of 4.87х103 Bq/L. This processing unit requires 3 units of cone roof tanks, 1 unit of Filter Press, 2 units of vessel adsorber, and 7 units of centrifugal pumps with an area of 900 m2. The Liquid Radioactive Waste treatment unit with zeolite meets the requirements for the level of clearance and waste quality standards but produces secondary waste in the form of cake and used zeolite with a volume of 5.45 m3/year and 21.566 m3/year, respectively. Based on the economic evaluation of the pre-design, it was found that the rate of the waste treatment was Rp.2,339.56/L. [ABSTRACT FROM AUTHOR]

The management of sustainable urban areas cannot be separated from the management of the Cultural Conservation objects in them. Cultural heritage is the collection of human knowledge, beliefs, skills and artifacts that are passed from one generation to another. Cultural heritage is an important part of our history and culture. It has been said that cultural heritage is a 'living entity' because it changes over time as new information and knowledge are added to it. Cultural heritage can be seen in many different forms such as buildings, artworks or objects made from materials such as wood or stone. These things have been around for hundreds of years and have now become part of our history and culture which we should try to preserve for future generation. There needs to be an effort to maintain the existence of the Cultural heritage and its value by protecting, developing and utilizing it. Based on the Law of the Republic of Indonesia number 11 of 2010 concerning Cultural Conservation, Cultural Conservation Buildings are material cultural heritages that require conservation efforts. Preservation of Cultural Conservation Buildings is carried out to maintain its existence through protection, utilization and development efforts. In each aspect of conservation, spatial data is needed to support decision making. The development of survey and mapping technology to support the need for spatial data is not only used for basic map needs, but can also be applied to other thematic needs, one of which is in the preservation of Cultural Heritage. It aims to be document for the preservation of cultural heritage, determining the area of cultural heritage, zoning and development of a cultural heritage master plan. Other things, the existence of a Cultural Conservation information map provides other benefits as a consideration in preparing spatial plans both Regency/City, Provincial and National. This paper will discuss the mapping of cultural heritage in Indonesia based on their needs. [ABSTRACT FROM AUTHOR]

While cigarette use has been addressed as a global health problem, most smokers still find difficulties and barriers in accessing health facilities or finding a suitable method to quitting the habit. This paper will discuss the study exploring a self-help group on an online-based platform, namely Facebook, in Indonesia. This study adopted quasi-experimental, with pre and post-test using the control group as the previous ethical clearance. The respondents consisting of thirty-two smokers were recruited on non-probability sampling with the purposive sampling method. The data were collected by using a valid (r=0,666) and reliable (r=0,846) Richmond Test motivation questionnaire. Wilcoxon and Mann-Whitney tests were used to analyse them further. The study revealed low participation on the online platform with discussion based on a self-help group. There was no significant motivation improvement among the experimental group after the intervention, as well as no significant difference in motivation improvement between the control and the experimental group upon pursuing the program (p>0,05, t=0,058). In terms of low involvement, an online platform was less effective in improving quit-smoking motivation among smokers. Further research is needed to develop more interactive and longer interventions to facilitate cost-effective smoking cessation through social media. [ABSTRACT FROM AUTHOR]

Massive utilization of firewood faced problems related to deforestation and harmful emissions. Indonesia experiences the fastest deforestation rate in the world (1000 km2/year). Household air pollution (HAP) resulting from the smoke of burning firewood causes premature deaths of around 165,000 to 68,000 each year in Indonesia. Liquified petroleum gas (LPG) and electricity are projected to be clean energy sources for households; however, switching to LPG fuel or electricity for remote rural households is constrained by their limited financial ability. Therefore, shifting the energy supply of rural communities from wood to fuel from agricultural waste can reduce the risk of deforestation, while reducing HAP is done by forming it into bio-briquettes. Manufacturing rice husk (RH) or carbonized rice husk (CRH) for bio-briquette fuels is intended to solve the problem of massive woody biomass and improve the combustion process to reduce the risk of HAP. This paper specifically investigates and compares the physical and chemical properties of RH and CRH as a first step to verifying their potential as bio-briquette materials. [ABSTRACT FROM AUTHOR]

Longitudinal data consists of repeated observations made from time to time on each individual. The correlation between observations within the same unit in longitudinal data makes the Generalized Linear Mixed Model (GLMM) an appropriate method for the analysis of longitudinal data. GLMM will not have a good estimation if the data contains missing values. To solve this problem, the imputation method is used. This paper discusses two imputation methods, namely mean and median row. The missing value is filled with the average or median value of all the values in the subject. It is known that poverty cases in districts/cities in Eastern Indonesia contain the missing value. Thus, poverty cases in these areas can be used as case studies of the data used. The purpose of the study is to form a GLMM model longitudinal with the Poisson response variable on poverty data in Eastern Indonesia to obtain factors that positively and negatively affect poverty in eastern Indonesia and obtain the right method of median row and mean row in the imputation methods to handle missing values based on the AIC value of the resulting estimate using GLMM. A mean row method is recommended to impute the missing values in Longitudinal data of poverty cases in Eastern Indonesia's districts/cities. [ABSTRACT FROM AUTHOR]

This paper depicted the subsurface structure in geothermal prospective area in Mount Talang, West Sumatera, Indonesia. Data were gathered from magnetic field yielded from Miligauss Meter at 144 sites surrounding Garara Hot Spring. Magnetic anomaly value was obtained from the raw data and was corrected by using IGRF and diurnal variation. Reduction to pole and upward continuation were applied to remove noise and separate local and regional anomalies. It was then sliced, and subsurface modeling showed that the incision consists of 4 types of layers. The topmost layer was identified as volcanic sedimentary rock dominated by clay. The second layer was rock formed from old pyroclastic deposits, young volcanic rocks, sediments, and lava located at a depth of 250 m to 1800 m. These two layers were assumed to be cap rock. The third layer was interpreted as old volcanic rock consisting of andesitic lava rock and clay alteration at a depth of 1200 to 3800 m. The fourth layer at a depth of more than 3800 m was composed of rhyolitic igneous rocks and metamorphic rocks. This layer was identified as a layer that was a source of heat or hot rock which has continuity with the magma of Mount Talang. [ABSTRACT FROM AUTHOR]

Due to operational and safety reason the gas obtained from the oil production generally will be burned into gas flare. Furthermore, elimination of gas flaring is a significant and essential step toward ensuring that significant natural resources are not wasted and mitigating climate change. In 2015, a program called Zero Routine Flaring (ZRF) initiated by the World Bank is targeting by 2030. The ZRF program is managed by Global Gas Flaring Reduction (GGFR) and obligates oil corporations and governments to put an end to recurring flare-ups by 2030. Based on the volume of routine gas flaring, current state of flaring gas is 162 MMSCFD. With this number, Indonesia ranks 16th worldwide [1]. The objective of this paper is to review the Indonesian government's regulation of routine gas flares due to the World Bank's initiative about ZRF by 2030. The fact shows that the Indonesian government has issued regulations related to gas flare management through the Minister of Energy and Mineral Resources Regulation No. 17 year 2021 [2] and Minister of Energy and Mineral Resources Regulation No. 30 year 2021 [3]. A review of those regulations has been done. Along with the regulations, Oil and Gas companies in Indonesia are also making efforts to reduce routine gas flares, for example, by utilizing gas flares as boiler and gas turbine fuel. These actions successfully decreased Indonesian routine gas flares from 342 MMSCFD in 2012 to 162 MMSCFD in 2021. However, Indonesia's routine gas flares have not yet suited the criteria set by the Government of Indonesia. In conclusion, to achieve the ZRF targets by 2030, oil companies and the Governments, must assist each other in this journey. In addition, it is necessary to improve regulations and gas flare monitor programs and provide fines and incentives for companies that meet the gas flare criteria according to the regulation. [ABSTRACT FROM AUTHOR]

Lowering Covid-19 cases globally and nationally provides a positive indication of economic growth, especially in Batam City, Indonesia. This condition is also followed by increased electrical energy consumption, particularly in residential houses. This paper presents an electrical energy audit process of a residential house using the IKE (Energy Consumption Intensity) parameter. The audit was conducted in a home with a building area of 226 m2 and an electrical capacity of 4400 VA. The result shows that the total electricity consumption of such a house is 1,266.34 kWh per month, to which the air-conditioning system contributed the most prominent electricity consumption of the whole facilities in the house. Providentially, the score of IKE is less than 8.5, which means such a residential house is categorized as very efficient energy consumption. Furthermore, the self-evaluating checklist technique has carried out to find the main factor that affects the electricity consumption of the air-conditioning system. Regarding the highest rating score on the self-evaluating checklist of air conditioning systems, the ceiling has a score of 77.5%. This result means that the ceiling needs to be evaluated to reduce the heat load of the house, which in turn reduces the electrical energy consumption of the air conditioning system. Finally, this work can use as an initial audit framework for assessing electrical energy consumption in residential houses in Indonesia. [ABSTRACT FROM AUTHOR]

Indonesia has the largest geothermal potential in the world, recently Indonesia only utilizes 7% of their geothermal to generate electricity. To increase the electricity production, the development of new geothermal power plant is needed, also the optimization of existing geothermal power plant. There are several types of geothermal powerplant system, depends on steam condition and utilization. This paper aimed to analyze the heat loss occurred in geothermal powerplant system X, also compare the cooling system between direct contact condenser (DCC) and indirect contact condenser (ICC). The comparison study has been simulated by using ASPEN HYSIS software. The method used to analyze the heat loss was by calculating exergy in each stream, so that we can calculate the exergy destruction at each process equipment. The result shows that the turbine produced 60 MW of electricity and largest heat loss occur on cooling tower with percentage about 17.64% for ICC system and 18.41% for DCC. [ABSTRACT FROM AUTHOR]

The palm oil industry plays a vital role in Indonesia's development. As the world's largest CPO producer and exporter, Indonesia earns substantial gains in foreign currencies from palm oil, and its derivative trades bring stability and security to Indonesia's economy. Despite those significant benefits, the sector has drawn both national and international criticism for its negative environmental and social impact. This paper aims to conduct a systematic LCA evaluation guided by the International Sustainability and Carbon Certification (ISCC 2015) methodology to establish an ecological profile of CPO production. A GHG Audit was conducted by using activity data derived from the company's record data and from other available literature. Following the methodology prescribed by the ISCC, this study found that 0.64 KgCO2eq is emitted per KgCPO produced. [ABSTRACT FROM AUTHOR]

Padang is one of the metropolitan cities in Indonesia and the capital city of West Sumatra Province. As a metro city, traffic jams are one of the city's problems, especially at adjacent intersections. Isolated traffic management applied in the city has yet to successfully solve the problem. This paper aims to evaluate the performance of some intersections if traffic signal coordination is applied. In this simulation study, PTV Vissim software was used. The study's findings indicated that traffic signal coordination would improve the traffic performance of the intersection. [ABSTRACT FROM AUTHOR]

Construction industry as one of the sectors that causes climate change must start paying attention to environmental impacts. Through the provision of numerous ecosystem services, Green infrastructure (GI) is one of the essential strategies for achieving sustainable development since it can effectively coordinate social, economic, and environmental growth. Thus, GI has been highlighted as a promising strategy to aid cities in adapting to climate change. 197 papers published between 2016 and 2021 were organized and classified using the 7th version of Publish or Perish software as part of this study's literature review methodology. Results show that there has been a significant growth in research on green infrastructure in recent years, with Sustainability Journal dominating the field. The initial top three cited journals that cover GI research are China Earth Sciences, Construction & Building Materials, and Cities. Another set of findings reveals that issues with water, materials, heat, air pollution, and policies-regulation & cost have been particularly focused on. Future research is needed and quite promising, such as: green materials, solutions to water & flood problems, urban heat, and GI regulation are topics that need further research, especially in Indonesia. [ABSTRACT FROM AUTHOR]

The design of the literature review study is how the development of research results on the Science, Technology, Engineer Mathematic (STEM) Approach in Physics Learning in a bibliometric way and Challenges trends in physics learning research that integrates STEM. An article search used the Scopus Base data conducted on June 19, 2023. Data was collected as metadata, retrieved from Scopus data with the keywords STEM AND physics AND learning from 2006-2023. The results of data collection obtained were 329 articles downloaded with their metadata stored in CVS forms, and the results were rechecked to determine whether all the articles matched the keywords. The data results are in the form of document types consisting of articles, book chapters, conference papers, and conference reviews. Visualization processing with R programming software is carried out with four visualizations consist of annual scientific production, Wordcloud, and Network visualization. The results of this analysis study show that the trend theme of the STEM Approach in physics learning is learning media and computer-aided instruction with a significant annual increase every year in 2020 there were 54 articles, in 2021 there were 94 articles, in 2022 there were 48 articles. Meanwhile, the three largest scientific production countries are the USA with 76 articles; Indonesia with 51 articles; and Thailand with 14 articles. Research trends in 2023 are learning media and your STEM Challenges can be seen from the less trending topic is the influence of STEM on the Creative thinking and critical thinking skills. [ABSTRACT FROM AUTHOR]

This paper describes the development of a blended-based sustainable training model. The blended learning model is used to overcome participants' limited time constraints in ongoing training to increase the competency of tourism village community empowerment facilitators. The research method used is development research. The research subjects were community empowerment facilitators in tourist villages, DKI Jakarta, and West Java. The data collection techniques used were observation, interviews, and literature review. Data analysis in this research was carried out using qualitative descriptions. The study results show that conceptually implementing a blended learning-based continuous training model increases facilitators' competence in empowering the Tourism Village community through the stages of input, process, and output analysis. In the input component, the training manager maps the competency of the facilitator's objective conditions; the training process component uses an andragogy approach where participants have self-concept practical experience and can overcome the problems they face; and the output component produces tourism village facilitators who master three competency elements, namely basic, core and special. [ABSTRACT FROM AUTHOR]

Researchers and experts have developed various techniques, models, and methods to predict the price movements of cryptocurrencies, especially Bitcoin. However, among the many techniques studied in the literature, there is still a lack of focus on mining, creating, and developing datasets with specific patterns for predicting the next cryptocurrency price movement. This is an exciting reason to conduct further research. A web-based Patterned Dataset Application and a Telegram bot were constructed to address this issue. These tools read the price position of each cryptocurrency and predict the next price direction based on the last position indicated by the Patterned Dataset Application. The experiment's results show that when the Patterned Dataset Application shows a diamond crash position, it is time to make a purchase; conversely, when it shows a diamond moon position, it is time to make a sale. It is hoped that by utilizing the Patterned Dataset Application, potential losses can be minimized, and there is more potential for profit in cryptocurrency trading. Even though the initial data source comes from Indonesia's most prominent digital cryptocurrency trading market, according to coinmarketcap, namely Indodax, the results of this patterned dataset application can often describe the same cryptocurrency conditions globally. The novelty of this research is to produce a new way of predicting the next cryptocurrency price movement using patterned datasets. At the end of this paper, it will be proven that hypothesis 1 and hypothesis 2 on the results of the patterned dataset are true. [ABSTRACT FROM AUTHOR]

Higher Order Thinking Skills (HOTS) is one of the requirements that must be owned by innovative learning. In its development, teachers are required to be able to choose the right learning strategies, not only in planning and assessment but also in the learning process. This paper explores the lesson plans made by teachers in developing learning that empowers HOTS on plant material in senior high school. The research approach is qualitative research with descriptive methods. The documents used in this study were taken from students taking curriculum and learning design courses. The samples used were eight lesson plans using plant themes. From the results obtained, there are four learning approaches developed, including the scientific, concepts, environmental, and STEM approaches. The learning models developed also vary, including Discovery Learning, Project Based Learning (PjBL), Problem-Based Learning (PBL), and Cooperative Learning. The development of these approaches and models is expected to be an inspiration for biology teachers to develop plant material learning in high school, especially in facing the new challenges of the implementation of a new curriculum in Indonesia called Kurikulum Merdeka. [ABSTRACT FROM AUTHOR]

Aquatic animals have been long time as a source of nutrition. Because human population grows, the demand of aquatic food also grows. It results in wild stock of aquatic animals is depleted and becomes insufficient to supply people's demand. Due to this reason, aquaculture farms are developed and grow. The water of aquaculture pond must be unpolluted and sufficient concentration of dissolved oxygen (DO). Oxygen is available for free in the atmosphere, but it requires a tool, aerator, to dissolve oxygen in the atmosphere into water efficiently. In Indonesia, mechanical paddle wheel aerator is popularly used. A paddle wheel aerator requires electricity to turn the electric motor, then the blades. A lot of aquaculture farms are in remote areas where electricity grid is minimum or even unavailable. In this paper, a concept of individual net zero-energy paddle wheel aerator is proposed. It had been tested 800-Wp solar PV system is able to supply enough electricity to run the aerator with 0.75 HP AC motor. The concept of small package solar PV system for individual aerator makes the system simple and the user can develop the solar PV system for whole facilities gradually depending on the need and available capital. Since the supply of solar energy is intermittent, battery system is necessary to smooth the electricity supply and to provide reference voltage. The research also found that the aerator with 8 blades and 16 holes per blade results in effective DO enhancement. [ABSTRACT FROM AUTHOR]

This study objective is to produce flipbook on integral topic for 11th grade student that are valid and practical. Based on this paper, hopefully teacher can know how to develop flipbook especially in integral topic. The type of the research is design research with development model used is Plomp model that consisting of two phases: (1) preliminary research, (2) prototyping phase. The subjects of this study were 11th grade students at Sekolah Menengah Atas Pembangunan Laboratorium Universitas Negeri Padang, Padang. The research instruments were interview guides, observation sheets, validity sheets, student practicality sheets, and teacher practicality sheets. This research has produced a very valid and very practical flipbook. Teachers and students gave a good response to this flipbook because it helps them in the learning process. Students said that learning to use flipbooks was more interesting and very useful in today's learning situations. [ABSTRACT FROM AUTHOR]

The Indonesian government has taken several policies to break the chain of transmission of the COVID-19 virus infection since the spread of this virus variant was first discovered in March 2020 in Indonesia. One of them is to require everyone to get vaccinated. This national vaccination program has been started since early January 2021 until now and expected to be one of the solutions to control the spread of coronavirus in Indonesia. This paper presents robust k-means to show the cluster of the spread of COVID-19 in Indonesia after the implementation of the vaccine policy for Indonesian citizens. The k-means algorithm is an unsupervised machine learning method. This method is well known in clustering. This is a partition clustering algorithm which is widely used in practice but in general, this method is sensitive to the presence of outliers. The variables considered in this study are the number of deaths, the number of recovered patients and the number of patients. Experimental comparisons are made with the basic k-means and robust k-means algorithm. It seems that for data on May, 2021, the cluster with k=3 in the robust case will provide closer risk levels of the provinces in Indonesia with their risk in reality, namely provinces with high, mid and low-level risk. [ABSTRACT FROM AUTHOR]

The literature review found that only a few studies in Indonesia have been applied to modeling peatlands fire occurrences. In our previous studies, various machine learning classification approaches are applied to predict forest fire occurrence in the peatlands area. Our previous empirical study found that the datasets of fire hotspot areas, especially for data from the South Kalimantan area, need to be more balanced. In this paper, we consider ADAptive SYNthetic (ADASYN) method for the sampling approach to balance the datasets. We found that by balancing the data, the performance of the classification method can improve about 2-4%. [ABSTRACT FROM AUTHOR]

Coronavirus Disease (COVID-19) pandemic has emerged as one of the biggest challenge faced by researchers, especially in public health system. Since the virus spread and mutates quickly, strategies are needed so that the public health system doesn't collapse due to overcapacity. Modeling and forecasting accurately the COVID-19 daily new cases is very important to understand and help carry out risk management for the outbreak control. To obtain the estimation of the Indonesian daily cases of COVID-19 based on daily confirmed cases, we present a comparative study between three deep learning methods in this paper: Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and Convolutional Long Short-Term Memory (Conv-LSTM). The data used is daily confirmed cases from September 1st to September 7th, 2021. The result is Conv-LSTM model produces better performance than other methods. Here we also provide 7 day out-of-sample forecast for daily cases from September 1st to September 7th, 2021 using each model. [ABSTRACT FROM AUTHOR]

This paper outlines our efforts in foresight technology, utilizing the TASDA framework, with a specific focus on the utilization of scenario planning. Scenario planning is a valuable tool for aiding management in comprehending potential future scenarios and making well-informed decisions. In this context, we are applying it to the development of research topics concerning Indonesia's maritime industry. This research aims to enhance stakeholders' understanding of issues related to the growth of maritime research topics in Indonesia, encompassing aspects such as tourism, oceanography, fisheries, infrastructure, energy, and mineral resources. Moreover, the study investigates changes in the strategic environment, including socio-political and economic factors that influence the progression of maritime research in Indonesia. We employ scenario planning analysis to chart the strategic environment and its ramifications on maritime research topics in Indonesia. This includes an examination of both global and national trends. We formulate driving and uncertainty factors within the framework of scenario planning analysis, which are then crafted into strategic environmental scenarios. The outcome of this scenario planning exercise yields four distinct scenarios. This methodology is well-suited for establishing the trajectory of national development aimed at constructing a research-driven maritime industry by 2045. However, achieving these objectives necessitates substantial advancements in science and technology, as delineated in current national policies, rather than adhering to conventional, business-as-usual approaches. To further refine the roadmap for the national maritime research industry, strategic planning and technology road mapping become imperative to optimize progress towards technological confidence. [ABSTRACT FROM AUTHOR]

It is known that the studies of peatlands fire occurrences in Indonesia are less studied before. In our previous study, the prediction of the peatlands fire occurrence was modeled using various machine learning classification approaches. It is found that using South Kalimantan Province data, in the empirical study we previously found that the datasets are unbalanced, i.e., the occurrence and the nonoccurrence of fire hotspots areas. In the study presented in this paper, to improve the classification performance, we consider Adaptive Neighbor Synthetic Majority Oversampling Technique (ANS-SMOTE) approach to balance the data. Using the considered empirical data, we found that this method did not always gives improvement in the classification results. [ABSTRACT FROM AUTHOR]

In Indonesia, most coal mining systems are carried out using the open pit mining method. This method is considered cheaper and easier to apply in the field but has an impact on the creation of ex-coal mining pits (void). Recent regulation states that every mining company is obliged to carry out reclamation including environment management efforts for mining pits. However, not all mining business actors have complied with this effort, especially companies that do not have official permits. This ex-coal mining pit existence in the new capital city of Indonesia (IKN) delineation area become a crucial issue to be managed appropriately and wisely. The IKN Nusantara is the future capital city of Indonesia designed as a smart forest city, where 75% of the total area is maintained as a green space. This paper describes the management effort than can be carried out in ex-coal mining pit (void) within new capital city (IKN) Nusantara. All of the environmental management efforts for ex-coal mining pit (void) need to be aligned with detailed urban spatial plans in the future. There are several alternative efforts to utilize void that can be carried out, for example, as a source of clean water and raw materials, tourist destinations, sports areas, wildlife wetland habitats that are connected to the surrounding forest, landfills, agricultural reservoirs, and also water sources for forest fire mitigation. [ABSTRACT FROM AUTHOR]

COVID-19 pandemic requires professional teachers to use digital technology, but some students experience obstacles in technology so that it has an impact on their low critical thinking abilities. This paper aims to analyze mathematical critical thinking abilities between students who carry out learning models eliciting activities assisted by Edmodo and conventionally assisted by WhatsApp based on prior knowledge of mathematics. The research method used a quasi-experimental, non-equivalent pretest-posttest control group design. The sample was selected through a homogeneity test from 4 parallel classes of one junior high school in Bandung Indonesia, two classes were selected, namely class VIII A as the experimental class and VIII D as the control class. The instrument uses an initial mathematical ability test and critical thinking abilities. Data analysis uses: Two-way ANOVA test. Findings: There is a difference in the improvement of mathematical critical thinking abilities between experimental class and control class students. There are differences in the achievement of mathematical critical thinking abilities based on prior knowledge of mathematics in the smart, medium and weak categories. Learning models eliciting activities assisted by Edmodo can facilitate the process of construction, interaction and reflection so as to improve students' critical thinking abilities. [ABSTRACT FROM AUTHOR]

Various limitation on the direct use of essential oil has stimulate encapsulation technology studies in the recent year. The study aimed to analyze the scope of essential oil encapsulation through a bibliometric analysis. This paper used Scopus database to collecting data about the subjects. VOSviewer was used for network visualization and map constructing. Started from 1988, a total of 1336 publications were collected for analysis. Over the last ten years, the number of articles published has increased significantly. Iran, China, and Brazil are most productive countries, while Indonesia published 26 articles in this topics. Based on VOSviewer visualization, the most influential topics are related to essential oil encapsulation method. However, overlay map showed new emerged author keywords related to the application of essential oil encapsulation for food packaging and microemulsion novel technique by pickering emulsion. [ABSTRACT FROM AUTHOR]