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The viral transmission in public places and transportations can be minimized by following the world health organization (WHO) guideline. However, the uncertainty in a dynamic system complicates the social engagement to the physical distancing regulation. This study aims to overcome this obstacle in MRT stations and train by developing an adaptive queue line system. The system was developed using low-cost hardware and open-source software to guide passengers using visual information. The system works by capturing seat images and identify the presence of humans using a cloud machine learning service. The physical representation of MRT was translated to data representation using the internet of things (IoT). The data then streamed using an asynchronous API with a representative endpoint. The endpoint is then accessed by a display computer in the destination station platform to provide visual information. The visual information was ergonomically designed with visual display principles, including the minimum content load, layout, color combination, and dimension of contents. The design of the system was evaluated by Markov simulation of virus transmission in train and usability testing of the visual design. The implementation of the system has balanced the queue line capacity in station and crowd spots distribution in MRT. The system was effective due to the visual cortex manipulation by visual information. Consequently, the aerosol and falling droplets' viral transmission radius can be reduced. Accordingly, the chance for airborne transmission can be lowered. Therefore, the adaptive queue line system is a non-pharmaceutical intervention of viral transmission diseases in public transportation

Product design has long been developed based on reliability and usability, but has neglected the objective measurement in terms of pleasurable experience. This paper presents a new concept of product design, with application in computer mouse design, which not only considers the performance of its functional factor but also emotional factor. A survey involving 153 respondents showed that 75.16% of respondents consider ergonomic / comfort factor as the most important factor, followed by precision factor with 58.17%, and noise factor with 15.03%. Furthermore, a survey of pairewise comparisons were conducted to assess the level of importance of the emotional factor. Analytical Hierarchy Process (AHP) was used to process weightage, resulting in stress = 0.27, focus = 0.279, engagement = 0.29, and interest = 0.265. Finally, the emotional level of 5 different mouse units was assessed through experiments using the EEG Emotiv 16 Channels system 10-20. There are three stages in assessing the mouse which were carried out using the 5 samples, namely the level of interest, the stage of using (ergonomics, focus) t, and the stage of user experience (engagement). From the average measurement of the EEG value, it was found that interest = 57.8 (scale 0-100) on a mouse that has an elegant shape, striking color, and with wifi connectivity, focus & stress because the size fits the shape of the hand and the level of cursor precision, while engagement follows the other three emotional factors. It can be concluded that brain signal exploration through Emotiv's EEG is able to quantify the emotional factor in product selection through the phase of attraction, use and experience.

PT PJB UPJ O&M PLTU Paiton is a steam power plant that uses coal as fuel for coal handling plant. However, the infrastructure conditions of PT PJB UPJ O&M PLTU Paiton do not support coal multisuppliers. The objectives of this study are to obtain a design model that can simulate coal removal systems at coal handling plant, to obtain the best options from this increasing amount and bulldozer capacity that can be a solution to the existing problems, and find out other alternative solutions that can be utilized to overcome the existing problems. The study design applies observational research using a cross-sectional approach. Observation or data collection was carried out at one time (point time approach). Based on the results of the study, the use of bulldozers in the reference model and bulldozers with a capacity of 36 tons in coalyard 2 (high rank) and 16 tons in coalyard 1 (low rank) is unable to reach the expected parameters. Solution to overcome supply parameters according to the needs of 10,000 tons/day is to provide a bulldozer with a capacity of 36 tons on the lot-hopper route at each coalyard. The alternative is to increase the number and capacity of the bulldozers in each coalyard, i.e. HR (48.48.36) and LR (48.48.48.36) with the chute-lot route, by regulating the bulldozer working shifts and by setting the time for unloading the ship.

Train aerodynamic performance greatly affects the efficiency of driving energy and passengers’ comfort. This paper aimed to simulate several forms of train models that produce low and stable aerodynamic obstacles as well as low noise at medium speeds of 120 – 1 50 km/hr. The first step to do was the study of literature on train design models, aeroacoustics, aerodynamics, and human ergonomics. Existing 3D CAD and S-R train models with slender ratios = 4, 6, and 8 were tested using Computational Fluid Dynamics (CFD) and Computational Aerospace (CAA) to determine the impact of airflow. The models that have been built were tested at medium speeds of 120 to 150 km/hr. The final simulation results showed that the existing train produced a drag coefficient (Cd) of around 1.27, average noise of 35.9dB, and fuel requirements by 1.7 liters/km. It is different from trains with a slenderness ratio = 6 that produces the best aerodynamic performance with a drag coefficient (Cd) around 0.436, average noise of 9.4 dB, and fuel consumption of 0.73 liters/km. The results concluded that the medium speed needs to adjust the S-R train model with a slenderness ratio = 6 that can produce an aerodynamic performance to improve train user comfort and save fuel.

This type of public transportation BRT mode began to be officially applied in Pontianak City to overcome traffic congestion. The problem is that many travelers prefer to use private vehicles rather than public transportation. This study aims to analyze the sensitivity of the mode selection model which explains the probability of choosing a BRT against aprivate vehicles if a BRT is presented in the Central Business District of Pontianak City. The mode selection method uses the Stated Preferences Technique in the form of a quetionnaire which is analyzed by multiple linear regression to obtain a utility equation. Based on the results of the sensitivity analysis of the mode selection model, the probability value of selecting BRT is 21,7%, if it is in conditions where the difference in the attributes offacilities and comfort (X1) is -10, this means that there are no facilities and conveniences of BRTsuch as private vehicles, thesecond is the difference in thewaiting time attribute (X2) which is 15 minutes, the third condition is the difference in travel costs attribute (X3) namely Rp 0,- and the fourth condition is the difference in travel time attribute (X4), which is 10 minutes To increase the probability of choosing a BRT to 60%, it can be done by increasing the difference between the facilities and comfort attributes to 0 (zero), which means there is no difference in facilities and comfort that BRT has with private vehicles such as the availability of air conditioning, free WIFI, clean, fragrant, having a bag storage area and others. This is because the most sensitive attributes compared to other attributes are facilities and comfort attributes.

This research aims to analyse the effect of user interface, pereived security and perceived privacy on esatisfaction of traveloka users. The research uses an explanative approach. The sample of this study was Traveloka users aged 17 years and over with experience using the Traveloka. By using accidental sampling technique, the number of respondents is 385 people. Data analysis performed using descriptive analysis and multiple linear analysis. The results showed that the user interface, perceived security and perceived privacy partialy and simultaneously had a positive and significant effect on esatisfaction. The main e-satisfaction factor for traveloka users is user interface. The simpler and easier the user interface, increasing esatisfaction in using Traveloka

Karyawan dituntut memiliki etos kerja yang baik untuk memajukan perusahaan. Hal ini menyebabkan banyak perusahaan memotivasi karyawannya dengan berbagai cara. Tujuan umumnya agar kinerja karyawan lebih baik dan stabil sehingga menguntungkan perusahaan. Imbalan diberikan kepada karyawan yang berprestasi dan mampu mencapai target tertentu, hal ini lebih efektif dalam memotivasi karyawan daripada hukuman sehingga dapat menjadi sumber motivasi bagi karyawan untuk bekerja secara maksimal. Dalam memberikan reward terkadang karyawan tidak sesuai dengan hasil kinerjanya dan tanpa menerapkan perhitungan yang baik. Untuk itu diperlukan suatu sistem rekomendasi untuk mendukung penilaian kinerja karyawan untuk mendapatkan reward. Salah satu metode yang digunakan adalah metode Adaptive Neuro Fuzzy Inference System (ANFIS). Metode ini dipilih karena mampu melengkapi penilaian kinerja karyawan berdasarkan kriteria yang telah ditentukan dan digunakan sebagai acuan dalam pemberian reward. Jumlah data yang diperoleh dan akan digunakan adalah sejumlah 537 data pegawai yang akan dibagi menjadi dua yaitu data latih yang berfungsi sebagai model sebanyak 524 data dan data uji yang berfungsi untuk menguji sistem sebanyak 13 data dan diperoleh Nilai perhitungan validasi model sebesar 0.867189 atau 87%

Color and light are the main factors in the car manufacturing industry, with not much research, conducted on this topic, related to employee physical comfort. The factor affecting employee work comfort is the color factor and lighting time in their workplace environment. Color is the light, reflected by an object, then interpreted by the eye based on the light that hits the object. The value of the color wavelength in the spectrum of 380 nm to780 nm impacts worker performance. Good lighting will affect whether or not the room’s light conditions affect the illumination’s value. A good working room condition will affect the physical comfort of employees. Employee physical comfort has developed in many previous studies. However, research on the configuration of colors and lighting in the manufacturing industry’s work environment is still underdeveloped. This research aims to measure and determine the impact of color and lighting at specific color wavelengths on the illumination value and the employee’s physical comfort. It starts with studying the color, light, human comfort, then examines the effect on the manufacturing industry employees’ performance in the wiring installation assembly industry. Color and light settings are proven essential to get better human comfort. Green color with a wavelength of 490 nm to 570 can increase the highest illuminate average lux value of 12.43 %. Yellow can increase the heart rate by 4.85 %, while green can reduce Diastole by 2.95 % and Systole by 1.29 %. Pupillary size changes L by 23.17 % and R by 21.43 %. The effect of green color and lighting time can increase the value of illumination and decrease heart rate, blood pressure, and pupil size so that it impacts the physical comfort of employees., Цвет и свет являются основными факторами в автомобильной промышленности, однако по этой теме, связанной с физическим комфортом сотрудников, проводилось немного исследований. Среди факторов, влияющих на комфорт работы сотрудников, цветовой фактор и время освещения на рабочем месте. Цвет – это свет, отраженный объектом, который затем интерпретируется глазом на основе света, падающего на объект. Значение длины волны цвета в спектре от 380 до 780 нм влияет на производительность труда. Хорошее освещение влияет условия освещения в комнате, на величину освещенности. Хорошее состояние рабочего помещения повлияет на физический комфорт сотрудников. Физический комфорт сотрудников был исследован во многих предыдущих исследованиях. Однако исследования конфигурации цветов и освещения в рабочей среде обрабатывающей промышленности все еще недостаточно развиты. Это исследование направлено на измерение и определение влияния цвета и освещения с определенной длиной волны цвета на величину освещенности и физический комфорт сотрудника. Оно начинается с изучения цвета, света, комфорта человека, а затем исследуется влияние на производительность работников обрабатывающей промышленности в отрасли электромонтажной сборки. Установки цвета и освещения имеют важное значение для повышения комфорта человека. Зеленый цвет с длиной волны от 490 до 570 нм может увеличить максимальное значение средней освещенности на 12,43 %. Желтый может увеличить частоту сердечных сокращений на 4,85 %, зеленый – уменьшить диастолу на 2,95 % и систолу на 1,29 %. Изменения раз мера зрачка Л на 23,17 % и изменение размера зрачка П на 21,43 %. Эффект зеленого цвета и времени освещения может увеличить яркость освещения и снизить частоту сердечных сокращений, артериальное давление и размер зрачка, что повлияет на физический комфорт сотрудников, Колір і світло є основними факторами в автомобільній промисловості, однак по цій темі, пов'язаної з фізичним комфортом співробітників, проводилося небагато досліджень. Серед факторів, що впливають на комфорт роботи співробітників колір і час освітлення на робочому місці. Колір – це світло, відбите об'єктом, яке потім інтерпретується оком на основі світла, що падає на об'єкт. Значення довжини хвилі кольору в діапазоні від 380 до 780 нм впливає на продуктивність праці. Гарне освітлення впливає на умови освітлення в кімнаті, на величину освітленості. Хороший стан робочого приміщення вплине на фізичний комфорт співробітників. Фізичний комфорт співробітників був досліджений в багатьох попередніх роботах. Однак дослідження конфігурації кольорів і освітлення в робочому середовищі обробної промисловості все ще недостатньо розвинені. Це дослідження спрямоване на вимір і визначення впливу кольору і освітлення з певною довжиною хвилі кольору на величину освітленості і фізичний комфорт співробітника. Воно починається з вивчення кольору, світла, комфорту людини, а потім досліджується вплив на продуктивність працівників обробної промисловості в галузі електромонтажної збірки. Установки кольору та освітлення мають важливе значення для підвищення комфорту людини. Зелений колір з довжиною хвилі від 490 до 570 нм може збільшити максимальне значення середньої освітленості на 12,43 %. Жовтий може збільшити частоту серцевих скорочень на 4,85%, зелений – зменшити діастолу на 2,95 % і систолу на 1,29 %. Зміна розміру зіниці Л на 23,17 % і зміна розміру зіниці П на 21,43 %. Ефект зеленого кольору і часу освітлення може збільшити яскравість освітлення і знизити частоту серцевих скорочень, артеріальний тиск і розмір зіниці, що вплине на фізичний комфорт співробітників.

The development of information and communication technology is considered to have expanded the concept of reputation in the online realm. This expansion has an urgency for further investigation because in this case the internet has become the main medium used to find various sources of information. The purpose of this study is to further conceptualize online reputation and map the variables that become the impact of this concept based on studies from various academic literature. This article is a literature study using systematic literature review techniques through a qualitative approach. Basically, online reputation is rooted in the concept of word of mouth, this is consistent with the organizational reputation management model that has been formulated previously. The availability of various information on the internet becomes a source for someone to determine the reputation of an object. Online reputation must be followed by management efforts so that the expected results of the online activity strategy can be obtained. The variables that are the impact of online reputation management include: verification of asymmetric information, building personal and product brands, building brand loyalty, building trust in conducting online transactions.

In this modern era, the technology is growing rapidly, the Internet is misled. This condition will be related to the service provider or commonly referred to as a server. Increasing the number of clients, the server also has to work heavier so that it often occurs overload. The Load Balancing mechanism uses the Least Time First Byte and Multi Agent system methods. This mechanism allows the server to overcome the number of users who perform service requests so that the load from the server can be resolved. This solution is considered efficient and effective because the request process on the information system will be shared evenly on multiple server back ends. The results of the research that can be proved if using this mechanism the server can work well when the request is from a user or client dating, this method successfully distributes the balancer evenly through the server backend. So the server is no longer experiencing overload. This can be proved when a system that has used the load balancing method with 300 connections generates a throughput of 123.1 KB/s as well as response time value of 4.72 MS and a system that does not use the load balancing method has a throughput of 108.4 KB/s as well as a response time value of 120.3 Ms. Therefore by implementing load balancing the performance of the system can always be improved.

The high noise exposure at MRT station due to the noises of the speeding trains can cause health problems for humans. This research aims to reduce the noise impact due to the speeding trains by modifying the design of the noise barrier on the outdoor MRT in Jakarta. The first step conducted in this research is a literature review on aerodynamics noise, CAD model, Computational Fluid Dynamics (CFD) and Computational Aeroacoustics (CAA), and human comfort. Furthermore, it was conducted a design of 3D noise barrier model and 3D train model in one of the outdoor MRT stations in Jakarta using the CAD software. The simulation using the CFD and CAA was implemented to acknowledge the distribution of airflow and sound occurred. The vorticity configuration resulted from the simulation was used as the foundation to modify the noise barrier. The addition of holes on the noise barrier for every 5 m is able to decrease the noise impact significantly. One of the results is that the existing aerodynamic noise of 1.2 dB up to 3.6 dB can be reduced to close to 0 dB with only minor noises around the holes. Scientifically, it can be stated that a way to lower the noise made by the train movement is by creating the right design of a noise barrier that can neutralize the source of the noise.

The assembly industry implements production outsourcing to meet the needs of assembly product components. The outsourcing of assembly product components is based on a relationship model between the contractor and the industry, between the industry with assembly parts and other processes, and more recently between the assembly parts and sales. In production outsourcing, there are generally no communication patterns established between the contractor/supplier and the assembly team regarding problems that may appear during the assembly process. Electronic data interchange (EDI) technology as a method to promote electronic communication between companies can be implemented for assembly teams and suppliers so that the former can relay component assembly problems during the assembly process. In order to improve coordination and communication with external business partners, the production outsourcing activities need EDI technology so they can communicate rapidly and accurately. To make EDI technology more useful, this method can be integrated with a manufacturing, planning system called computer-aided process planning (CAPP). CAPP is a link between design and manufacturing in a computer-integrated manufacturing environment. Commonly used by manufacturing engineers, CAPP can be used to develop a product manufacturing plan. The purpose of the present study was to design and develop a web-based software application integration initiative between EDI and CAPP that can be used as a communication means between the assembly team and the supplier, which will specifically help the assembly team to plan component assembly process so they can eliminate or reduce manual intervention in assembly planning

Regulation of the Minister of Public Works No. 30 of 2006 on Technical Guidance of Facility and Accessibility on Building and Environment, explains that arrangement of lay-out facility in building must support enough space and circulation for persons with disability and / elderly, including KPRI-UB. KPRI-UB is a shopping place that belongs to the public then it is required to follow the regulation. But in fact, it has not been able to provide adequate access, both from the aspect of facility layout and shelf size. The purpose of this study is to provide proposed layout and proposal size shopping shelves in accordance with the needs of difable consumer in KPRI-UB. The research design used is quantitative with descriptive approach. The result that can be used as a recommendation to design facility which is accessible for difable is change of layout design from shelf contained in KPRI, ramp design, and device used by difables to call help to the operator.

one of the national manufacturing industry company engaged in the manufacture of military products with the resulting product is plastic box 260. To minimize the waste that occurs lean manufacturing approach is assisted by one of the tools in the concept of lean value stream mapping (VSM) aims to describe the overall Information from the flow of raw materials to finished products. Waste identification begins with the waste relationship matrix (WRM) and waste assessment questionnaire (WAQ) to determine the percentage of waste with the 3rd largest rank. Further analysis is done by analytical hierarchy process (AHP) aims to know the criteria of weighting from waste that has the highest ranking. The recommendation of improvement based on the analysis of waste with the 3 largest (unccessary inventory, overproduction, motion) and takt time calculation is to apply 5S, to apply forecasting, to add a working facility in the form of cooling room, to do maintenance activities such as preventive maintenance, addition of tools and machine, Setting laser machine, and layout design of production floor layout.

This study investigates the eco-innovation variable which has the significant effecton creative industries center’s performance of marble and natural stone craft sector in Tulungagung, Indonesia. The object of the study is the creative industries center with the non-renewable raw material. Mostly, the companies are in form of small and medium-sized enterprises (SMEs) which is ‘passive eco-innovator’ and their eco-innovation variables have not been investigated before in terms of their influenceon their performance. The respondents were 81 craftsmen taken from the population. The data were collected through questionnaires which were tested, processed and analyzed by using Consistent Partial Least Square (PLSc). The eco-innovation variables which significantly effecton innovative performance are eco-organizational innovation and eco-product innovation. Eco-process innovation and eco-marketing innovation don’t directly affecton innovative performance, but its significant effecton eco-product innovation may influence innovative performance. Improving innovative performance will impact on financial performance through improvement of production performance, but market performance does not significantly affect financial performance. The findings of this study could be a reference for creative industries center’s of marble and natural stone craft sector to prioritize which type of eco-innovation should be improved so that its impact on performance is more significant

Dropout is considered a big problem affecting universities in Indonesia. Deciding to dropout is not easy, because universities have to look at various academic parameters or criteria. The solution to simplify these problems is by utilizing knowledge of data mining techniques or machine learning in education. The classification approach technique using Neural Network (NN) method to predict the academic status of a student early can provide optimal results. Before forming the NN model, the supporting data will go through data pre-processing using the mean/average method, z-score normalization and information gain to obtain the best parameters. Furthermore, Adam optimizer is also used to optimize a parameter, the optimization will update the weights iteratively based on the training data. The results obtained from this prediction model are calculated using cross validation as the benchmark of the method used. The results obtained reaches a precision of 0.937. The biggest factor that has an influence on dropout possibility is grade, followed by failed courses, then the student’s absence, even the age of the student that also has a big effect.

Purpose The purpose of this paper is to evaluate subjectivity issue, particularly sensitivity variance and fatigue effect, in human sensory evaluation, as well as review the feasibility of human-independent quality system, using E-tongue and E-nose. Design/methodology/approach The sensitivity level is evaluated by measuring the threshold of Acesulfame-K, while the fatigue effect is evaluated by measuring the accuracy level of evaluation through the time. The experiment was administered to six trained sensory panelists. Findings The experiment result shows that each panelist has a different level of sensitivity and tendency in evaluating samples containing Acesulfame-K. Furthermore, by simulating the panelists’ daily inspection, the fatigue effect is also found in one out of six panelists. The use of E-nose and E-tongue, may eliminate the subjectivity issue, supporting the development of human error-free quality system. Research limitations/implications The research findings indicate the needs of human substitution-built into the quality system to avoid both of subjectivity and error judgment while defining the products quality. However, the small numbers of panelists as well as the unvalidated substitute instruments application in the target workcenter were the main limitation of this study. Human-independent quality system could be applied only when the instruments have been calibrated to human response in perceiving taste and odor. Originality/value The research finding supports the theory of human panels’ tradeoffs in a sensory analysis in terms of sensitivity level variance and fatigue. It has provided additional contributions to the existing theories as well as developed effective strategies for the development of the human-independent quality system.

Personalized information service is an information service delivered by digital libraries so that users can only get information according to their needs online. This article is a conceptual study that examines the role of mobile devices as technology to support personalized information services from the aspects of user data collection and service delivery. Data obtained through literature review of scientific articles that have relevance to the main concept. The results showed that mobile devices have a role in sending data and accessing library services efficiently. As a two-way communication medium, mobile devices can send various forms of feedback to the library which eventually become data for further analysis. As for service access, mobile devices can support mobile applications so that there are several traditional services that can be accessed online anywhere and anytime. Not only data in the form of text, technological developments have been able to analyze data in other types, one of which is in the form of voice. The development of technology in the 4.0 industrial revolution has also become an aspect that encourages efficiency because it can bring about automation in the aspects of data collection and access to library services.

There are at least four researchers who discussed the dynamic capabilities creation model, including Zollo & Winter (2002), Helfat (2007), Teece (2007) and Mc Carthy & Gordon (2010). This paper aims to understand and criticize the models proposed by the four researchers mentioned above. The method used is literature study. Therefore this study can be used as a reference in formulating dynamic capabilities creation model capable of enduring organization environment dynamics. The resulting model understanding and criticism exhibits several important discussion that could be used as guidelines in designing a more comprehensive dynamic creation model.

As a concept derived from the resource-based view, dynamic capabilities essentially have an important linkage with activities related to the creation of organizational knowledge. Using literature study method, this paper aims to discuss the linkage between the creation of dynamic knowledge capabilities and the creation of knowledge company. The study shows that the discussion of dynamic capabilities creation finally puts both learning and knowledge in an important position. Correspondingly, the relationship between a growth strategy that is generally chosen by the organization brings a consequence that the creation of organizational knowledge becomes something that can not be ignored. In order to make the process of knowledge creation in line with dynamic capabilities creation within a growth strategy creation framework, we need a dynamic process of knowledge creation. Among the various models of knowledge creation, SECI model still becomes a relevant model within organizational knowledge creation framework. In general, this study is still theoretical, therefore, more empirical subsequent discussions are expected.

Irrigation systems in Indonesia are mostly carried out manually in which opening and closing of irrigation channel to rice field are done in traditional way. Internet of Things (IoT)-based control system on irrigation with Wemos D1 ESP8266is a device designed for assisting farmers to ease water irrigation to their rice fields from far away in the real-time. This device aims at improving the farmer effectiveness in working. It used servo motor as the hardware for portal functioning to obtain data from the water height by HC-SR04 ultrasonic sensor as well as serving the control centre by Wemos D1 ESP8266 microcontroller. The control system of irrigation portal was carried out by android application which connected to node controller trough apy key from web hosting. After the portal was opened, the data of water height from controller node was sent and displayed in application. The process of system controlling can be done wher ever and whenever as long as there is a real-time internet connection. The system testing used rice field prototype as the test parameter for the success of control and connectivity functionality. The test employed 3 different connectivity which yielded control delay average with different provider speeds i.e 5.819 seconds, 3.545 seconds, and 7.333 seconds after the controlling process from application.Keywords : android, apy key, Internet of Things, internet, Wemos D1 R2, control.

In this review the recent progress in the field of self-optimizing reactor systems for continuous flow chemistry is presented. Particular focus is directed to the implementation of monitoring tools and realization of computer-controlled reaction optimizations without human interaction.

Evaluation of learning systems based on e-learning is very important to determine learning success. The purpose of this study is to obtain predictive results from evaluating students who follow e-learning based learning systems. The data used is the result of logs of student learning activities taken from the LMS. The data used in this study were 641 user logs of student activity. In predicting the evaluation results based on the learning system on e-learning we use a neural network method based on swarm particle optimization. Neural Network has a problem in optimizing very large data so using swarm particle optimization can solve this problem. From the data testing we have done, the results obtained by the Neural Network method get an accuracy value of 95.47%, and the results of the AUC value of 97.90%. The observation of variables C, ∊ and population of Neural Network and particle swarm optimization use the K-Fold Cross Validation method. Then the researchers tested several choices on the attributes used. By using the Neural Network method based on the swarm particle optimization attribute, there are 9 predictor variables so that as many as 6 attributes are used, namely sports, chat, discussion, messages, Quiz exercises and total logs. The results show an accuracy rate higher than 97.50%, and an AUC value of 98.20%. So the accuracy value increased by 2.03% and the AUC increased by 0.3%. With accuracy and AUC values, the Artificial Neural Network algorithm based on particle optimization is very well categorized.

Voice Recognition is a process of developing systems used between computer and human. The purpose of this study is to find out the sound pattern of a person based on the spoken Javanese language. This study used the Mel Frequency Cepstral Coefficients (MFCC) method to solve the problem of feature extraction from human voices. Tests were carried out on 4 users consisting of 2 women and 2 men, each saying 1 word "KUTHO", the word pronounced 5 times. The results of the testing are to get a sound pattern from the characteristics of 1 person with another person so that research using the MFCC method can produce different sound patterns

The dairy cattle productivity is very depending on the quality of their environment and physiological aspect. Hence, the purpose of the paper is to looking for the relationship model of physiological, environmental and milk productivity by using artificial intelligence (AI). The model will be useful for the user to decide the best cow treatment in order to gain the best milk production. The research is started with literature review and early survey of cattle physiological, environment factors and milk productivity. The next step is measuring the environment data (temperature, wind speed, and relative humidity) and measuring physiological aspect (heart rate, body temperature) correlated with milk productivity in 500 pairs of data. All the data are collected and stored into the database and then trained and validated using Back Propagation Neural Network (BPNN) with Genetic Algorithm (GA) optimization. The initial BPNN architectures are selected in 2 hidden layer, delta bar delta learning rule, sigmoid transfer function and epoch 10000. As a result, the system successfully developed an intelligent tool to predict milk production in any levels of environment and physical condition. Based on sensitivity analysis, the relative humidity, heart rate, environment and cow body temperature are categorized in strong impact, beside that are in weak impact on milk production.

This research aims to apply the localizing region-based active contour (LRAC) method to acquire the femur length in an ultrasound image automatically and to determine the effect of noise removal on the segmentation accuracy. The automatic femur length measurement system includes three main steps. The first step is the denoising process to reduce speckle noise in the ultrasound image. Afterwards, the LRAC method is applied to detect and segment a local region. The segmentation process with a certain number of iterations and a weight of the smoothing terms is started at the selected initial pixel. At the final step, the femur length is measured to estimate the gestational age. The experiment results show that the accuracy of the estimated gestational age increases significantly when the noise reduction technique is employed.

In running the process, the repetitive activity in the production process of the extract of Dewata fruit could cause pain and fatigue on the worker's body. It was because there was a facility that did not meet the rules of workplace ergonomics. Continuous evaluation was needed to know the solution of the problem of musculoskeletal complaint so that it can improve ergonomic working facilities. In making simulation scenario is expected to describe the condition of the actual company so that the improvement proposal can resolve the real issue.The methods that were used in this study include: Biomechanics Assessment (REBA and QEC), anthropometric Design and Simulation Arena. Assessment scores REBA (Rapid Entire Body Assessment) was obtained from the angle of motion depiction of the image carrier (photo) whereas the assessment scores QEC (Quick Exposure Check) was obtained from filling the questionnaire between the observer and the operator. From the research result on the dimension repair facility cooling pond work on workstation 2 (cooling), tables and chairs on the workstation 3 (formation of cardboard box), and the table packaging on the workstation 4 (packaging). In the proposal of improved simulation, it is given resource addition as many as one person on cooling 2 to improve production efficiency from 42.3 % to 100 % so that it is necessary to increase the wage of Rp 1,500,000.00 / month.

In this study done on leather shoe company that uses flow shop scheduling strategies. Where the purpose of this study is to minimize makespan is the total time needed to complete the entire job. This is done because of the large demand for leather shoes that exceeds the production capacity and production scheduling by the company based on intuition. In solving the production scheduling problem that occurs in the company, Cross Entropy algorithm used method-Genetic Algorithm (CEGA) to minimize the makespan. From the results of calculations with CEGA method sequences obtained by scheduling makespan value of 5822 seconds with an efficiency of 6.79% when compared with the method of the company with sebasar makespan value of 6246 seconds.

The dairy cattle productivity is very depending on the quality of their facilities and their environment condition. A lot of researches have been done in this area, but it is not developing the knowledge of animal dimensions and behaviours correlated with their facilities design. Complexities of dynamics zoometry is very depending on cow behaviours that it forced to use neural network (NN) approaching. Hence, the purposes of the paper is to create the concept of static and dynamic zoometry approach to guide the ergonomics facilities design and the modern of dairy cattle house based on zoometry data by using artificial neural network. The research is started with study literature of anthropometry, CAD design, dairy cattle, facility design and neural network. The next step is collecting the data of cow dimensions for static zoometry (17 variables) and cow behaviours for developing the concept of dynamics zoometry (5 variables). The static data is used as input factor and dynamic data as desire of Back Propagation NN model. The result of BPNN training is used to design the dairy cattle facilities, e.g. 3D CAD house with minimal length = 357.67 cm, minimal width = 132.03 cm (per tail) and minimal height = 205.28 cm. Finally, the paper is successfully developed the concept of zoometry approach and BPNN model as pioneer of implementing comfort knowledge.

Previous research works tried to optimize the architectures of Back Propagation Neural Netwo rks (BPNN) in order to enhance their performance. However, the using of appropriate method to perform this task still needs expanding knowledge. The paper studies the effect and the benefit of using Taguchi method to optimize the architecture o f BPNN car body design system. The paper started with literatures review to define factors and level of BPNN parameters for number of hidden layer, nu mber of neurons, learn ing algorithm, and etc. Then the BPNN arch itecture is optimized by Taguchi method with Mean Square Error (MSE) indicator. The Signal to No ise (S/N) ratio, analysis of variance (ANOVA) and analysis of means (ANOM) have been employed to identify the Taguchi results. The optimal BPNN training has been used successfully to tackle uncertain of h idden layer's parameters structure. It has faster iterations to reach the convergent condition and it has ten times better MSE achievement than NN machine expert. The paper still shows how to use the informat ion of car body shapes, car speed, vibration, noise, and fuel consumption of the car body database in BPNN training and validation.

Participation of citizens in the process of city development is very important. To achieve good governance and democratic, the citizen can participate by providing complaints, information, or advices. In the current system, complaints are handled manually by 1-2 operators, whereas speed and accuracy are needed. The problem is this manual handling causes errors in the determination of appropriate government departments that handle the complaint. This research will propose a system that aims to determine the appropriate government department with complaints given by the citizen with the implementation of K-Nearest Neighbor (KNN) algorithm, to reduce human errors. This algorithm is one of text classification algorithms, which in this research, is used to classify complaints which the texts in Indonesian language. The input of the system is complaint given by the citizen and the output is the name of the appropriate government department, which is in accordance with the contents of the complaint.

Android is considered as the leading platform on smartphone market. Thus, it becomes a prime target by many security crooks and its security becomes at most concern. This research aims at assessing Android Security, especially the fact whether Android's folks are getting better or worse in delivering a secure platform? In this research, we use data extracted from National Vulnerability Database (NVD) to answer such question. Surprisingly, the study discovers that 83.3% of reported Android vulnerability is originated from third-party apps that runs on Android platform and not inherently from the Android platform itself. We also discover strong evidence that Android security is getting better based on the declining numbers of reported Android vulnerability and the reducing of Android vulnerability Time-to-Patch.

Organizational adaptation capability of Republic of Indonesia research units to adopt the challenging quality management system standard requirements has been reviewed. This review is focused on the various research units in the Indonesian Institute of Sciences, most of them by literature study and few of them by field observation. The flexibility level grouped in three categories, (1) adopting immediately, (2) adopting gradually, and (3) having difficulties in adopting.