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Many senior teachers in primary schools only have a School Teacher Education (SPG) diploma who have been teaching for years but have not been called upon to be certified. Meanwhile, new teachers with a bachelor's degree (S-1) who have only been teaching for a few years have been called for certification. Taking into account the various problems above, it is necessary to build a system that can assist the relevant schools in determining the eligibility of certification to teachers. The MAUT method can objectively assist teacher certification decisions based on the criteria and urgency and based on the need to use a systematic method to determine teacher certification. [ABSTRACT FROM AUTHOR]

One important crucial data in terms of groundwater management in the Tegal-Brebes Groundwater Basin is to know the configuration of the aquifer system. The aquifer geometry can be determined by interpreting resistivity value from geoelectrical surveys and geophysical logging data. In this research, to identify the aquifer geometry in the central part of the Tegal-Brebes Groundwater Basin, vertical electrical sounding (VES) of the geoelectrical method is measured for six (4) stations, representing north to the south distribution of the aquifer system and 129 geophysical well logging data. Geologically, the northern part of the research area originated from alluvial deposits, and the central regions consist of lahar deposits which are volcanic products from Slamet Volcano. The southern part consists of andesite to basalt composition in the form of volcanic breccia, tuff, and lahars from the eruption of the Quaternary – Pleistocene Slamet Volcano. The VES measurement is conductedby using the Wenner-Schlumberger configuration and carried out with a maximum length of 400 meters. This research reveals the subsurface model in the study area consists of 7 layers, which is 3 sand layer and 4 clay layer. The sand layer is interpreted as the aquifer layer and the clay layer is interpreted as the aquiclude layer. [ABSTRACT FROM AUTHOR]

Tasikmalaya relies on springwater resources to supply domestic needs. To enhance the availability of potable water, the government constructed the Sukarame Drinking Water Supply System (i.e., SPAM Sukarame), which is sourced from Cibuntu Spring. A geoelectrical approach was employed to precisely map groundwater distribution and comprehend the subsurface condition. The data collection system was constructed with four lines of 120-meter and 240-meter dipole-dipole arrays. Four profiling lines were selected to assess the resistivity and thickness of the subsurface layer. The resistivity data were carefully evaluated using the RES2DINV software and the least-squares inversion approach. This investigation seeks to comprehend the properties and depth of the aquifer underneath Cibuntu Spring. Results of the resistivity survey reveal that the subsurface formations are made up of clay, silty sand, sand, gravel, pebbles, and boulders. Based on the results of 3D resistivity modeling using the RockWorks 2022 software with the Inverse Distance Weighted (IDW) interpolation method, the Cibuntu Spring originates from semi-confined aquifers containing sand with an average height of 5 meters. Henceforth, this aquifer characterization may be used as a reference for defining the spring protection zone to maintain the sustainability of Cibuntu Spring. [ABSTRACT FROM AUTHOR]

Pacitan regencies of East Java, Indonesia, especially Donorojo, Punung, and Pringkuku sub-districts, are areas with karst landscapes. Geologically in this area, it is difficult to find water due to the nature of carbonate rocks that are easily dissolved. Hydrogeologically, the Pacitan karst system is part of the Wonosari Groundwater Basin where there are aquifers in which flow is through fissures, fractures, and channels with moderate productivity. Therefore, geophysical measurements are needed to determine the subsurface conditions where there is potential for aquifers. The purpose of thisstudy was to determine the location, depth, and thickness of the aquifer using the geoelectric method of dipole-dipole configuration with 6 (six) lines, the length of each line is 240 meters, and the distance between the electrodes is 5 meters. With a line length of 240 meters, the data was obtained from the depth of subsurface conditions up to a depth of 50 meters. The results of measurements and data processing with 2-dimensional inversion show that the presence of aquifers is spreadunevenly and at different depths. In some lines, underground cavities with varying depths are also found. [ABSTRACT FROM AUTHOR]

This report compares the utilization of lignite coal with fiber and shell fuels at a palm oil mill in terms of performance, cost-effectiveness, and environmental impact. Lignite coal has higher moisture content (35%) and lower calorific value (20-25 MJ/kg) compared to fiber and shell fuels, which have lower moisture content (around 10%) and higher calorific value (18-24 MJ/kg). Lignite coal requires more combustion air (12-15 kg/kg of coal) than fiber and shell fuels (6-8 kg/kg of fuel), resulting in lower combustion efficiency. In terms of environmental impact, lignite coal combustion emits higher levels of pollutants. Sulfur dioxide (SO2) emissions from lignite coal combustion range from 0.8-1.2 kg/kg of coal, while fiber and shell fuels emit less (0.1-0.3 kg/kg of fuel). Similarly, nitrogen oxides (NOx) emissions from lignite coal combustion range from 0.2-0.5 kg/kg of coal, whereas fiber and shell fuels emit approximately 0.05-0.2 kg/kg of fuel. Cost-wise, lignite coal may have a lower initial cost but results in higher long-term fuel consumption and operating costs due to its higher moisture content and lower calorific value. Fiber and shell fuels, with lower moisture content, higher calorific value, and more efficient combustion process, offer lower fuel consumption and operational costs. In conclusion, the study shows that fiber and shell fuels outperform lignite coal in terms of performance, cost-effectiveness, and environmental impact. Fiber and shell fuels have lower moisture content, higher calorific value, and emit fewer pollutants. Transitioning from lignite coal to fiber and shell fuels can improve operational efficiency, reduce costs, and promote a more sustainable fuel source. [ABSTRACT FROM AUTHOR]

Salt is a type of commodity that is a necessity for society because of its many uses. PT Budiono Madura Bangun Persada is a company that operates in the field of salt processing under the brand "Anak Pintar". Therefore, a strategy is needed to manage the production of salt raw materials well, namely through sales forecasting. This research aims to obtain an appropriate method for forecasting PT Budiono Madura Bangun Persada's salt sales to determine future production results. The data used is production data for 6 months, namely November 2020 – April 2021. The method used in this forecasting is Double Exponential Smoothing (DES). The research results show that the best alpha parameter (smoothing constant) of the Double Exponential Smoothing method is 0.5 and the MAD value is 71,216.49 and MSE is 188.15. [ABSTRACT FROM AUTHOR]

One of our usa's greatest belongings is our forex, and to be able to create currency discrepancies, attackers are introducing counterfeit notes into the foreign money marketplace that look like original notes. Through demonetization, it appears that evidently such a lot of faux currencies are circulating within the market. In trendy, it's far very hard to differentiate any fake banknotes from the actual ones, now not by using various identification parameters, due to the fact that many signs of counterfeit banknotes are much like the original ones. Distinguishing among fake currency and authentic banknotes is a hard undertaking. Therefore, there need to be an automatic machine that is to be had in banks or ATMs. To broaden such an automatic machine, it is necessary to broaden an green algorithm that could predict whether or not bank notes are actual or counterfeit foreign money, at the same time as counterfeit notes are recognized with the utmost care. In this article, we use an algorithm primarily based on statistics to be had in the UCI machine studying repository to detect the authenticity of financial institution cash. To gain this, we implemented machine mastering algorithms, measuring their overall performance basedon various quantitative evaluation environments. [ABSTRACT FROM AUTHOR]

This research paper outlines a thorough methodology for a productive database management system for blood banks and incorporating with next-gen technologies such as cloud, CRM and automating workflow and receiving response through IOT devices such as ALEXA. The database is the most practical place for caching data, and it is the best tool for creating, maintaining, updating, and data from many perspectives. A well-organized blood bank database offers countless advantages, including increased productivity and time savings. In an effort to close this gap, we have Modelled a well –organized database. Additionally, we have created a tool that serves as a reminder. The main cloud services offered by Amazon, including IAM, S3, DYNAMODB, EC2, LAMBDA, API, and Cloud Watch, will be used in this project. IAM (the IAM service is used for authentication and security), S3 (it is a scalable cloud storage bucket that aids in storing the data received in the end server), DYNAMODB (is used as a database service), EC2 (used for implementing Linux instances), API (application programme interface), and CLOUD WATCH are some examples of other services that are used (it used for viewing the history logs). Additionally to automate workflow/process through voice command or get specific details, In this project let's consider if we want to get any information regarding the donor details, blood group details, it can be received as a voice output through our digital IOT device/personal assistant such as Alexa. [ABSTRACT FROM AUTHOR]

Covid-19 has spread widely throughout Indonesia and has affected all aspects of life, especially in education. These conditions require everyone involved in the realm of education to adapt and innovate so that learning can occur. In the learning process, educators and student's must-have books as a source of learning. E-books are very effective to use during the current pandemic because they can be accessed anytime and anywhere via students' cell phones or laptops. This study aims to determine the application of the e-book-assisted peer teaching method in improving students' understanding of sound wave physics learning concepts during the covid-19 period. This type of research is pre-experimental research by applying a qualitative approach. The research data was obtained from observations and tests with the research subjects is 33 students in class XI Science Program in Senior High School, West Sumatra, Indonesia. The results showed that students' understanding of concepts increased using the e-book-assisted peer teaching method during the covid-19 period. This can be seen in the students' post-test results, which reached an average of 57.57, much higher than the students' pre-test results which only reached an average of 28.78. Results showed that ebook-assisted peer teaching methods in physics learning during the COVID-19 pandemic could improve students' understanding of concepts. [ABSTRACT FROM AUTHOR]

This study aims to determine the implementing moodle-based e-learning to optimize performance skills. The sample of this research is students of the physics education study program at the university of lampung who take the physics instrumentation course in the even semester of 2021/2022. The research design used was quasi-experimental. Lectures are carried out synchronously and asynchronously, according to the d-learning design packaged in the physics instrumentation vclass for class a and for class b. Student activities are controlled through the report-activity menu in moodle. Evaluation of the implementation of physics instrumentation lectures in the 2021/2022 academic year is carried out through the university of Lampung integrated academic administration system. Based on the results of the study it can be concluded that the application of moodle-based e-learning to blended learning shows better skill performance than online classes. [ABSTRACT FROM AUTHOR]

This study aims to determine the effect of tool rotation speed on friction stir welding aluminum, The aluminum used is AA 1060, and a friction stir welding tool with a cylinder thread pin tool profile is used. The parameters are clockwise rotation of 800 and 1125 rpm, 2° tilt angle, and welding speed of 30 mm/min. The tests used are the visual test, radiography test, tensile test, impact charpy test, vickers hardness test, and macrostructure test. The test results show that FSW with a tool rotation of 1125 rpm better than 800 rpm, with a joint efficiency of 50%, while at a tool rotation of 800 rpm there is a decrease in joint efficiency to 47.6%, due to the influence of defects in the form of tunnels, in addition to the low welding speed factor, causing an increase in heat in the surface area, causing high temperatures in the weld zone, which causes grain refinement and increases hardness in the weld metal area. [ABSTRACT FROM AUTHOR]