ASEAN Journal of Systems Engineering
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SUSTAINABILITY ANALYSIS OF MICROHYDRO POWER PLANTS IN JAYAPURA REGENCY, PAPUA
Full text linkThe need for energy and electricity in a number of regions currently tends to increase every year. The fast pace of modernization and increasing economic activity in various parts of Indonesia are the main factors triggering the increase in energy demand. The data analysis technique in this study was using quantitative correlation methods with questionnaires and data from field observations. Data in the form of questionnaires and data from observations are primary data in this study. The purpose of this survey is to measure the performance of Micro hydro Power Plants (MHPP) at each site using KPIs related to the sustainability of the site. In addition to verifying objects that are connected and not connected to the MHPP, this survey also covers topics related to the sustainability of the MHPP site which includes operational status, finances, checking of physical components and the results obtained. Based on a survey conducted on the five MHPP sites, there are 325 houses stairs, 24 social institutions, and 28 PUE, Non-functioning buildings are the main reason, Damage to components and the presence of new generators are the main reasons behind MHPP not operating, There is a correlation between MHPP performance and customer satisfaction, Tariff system applied by all MHPP sites is a fixed rate with a cost of Rp. 20,000.00 to Rp. 30,000.00, All MHPP sites, Damage to generator and ELC components, Deforestation occurs in all MHPP sites, and Based on physical checks on MHPP
WIND ENERGY POTENTIAL OF GUNUNG KIDUL COASTAL AS A FUNCTION OF PROBABILITY DISTRIBUTION
No full textGunung Kidul coastal is an area that has varying heights up to 250 meters above sea level, and dealing directly with the Indian Ocean. Based on the location of the height of the sea surface, with Logarithmic formulation of wind speed, Gunung Kidul coastal has a varying energy class. The method used is an analytical model of constant density atmospheric, assuming that the density of the air from sea level to the top of the atmosphere has a fixed value. Furthermore, the value of wind speed is used as a probability distribution function based on the data period of 24.5 years. The results of the average value of wind energy are grouped according to energy class. On the use of the Poisson probability distribution, the class of potential good of energy is reached at a height of over 450 meters above sea level. While the use of the Normal distribution and Weibull reach potential class good at 100 meters above sea level
IMPLEMENTATION OF IMAGE CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORK (CNN) ALGORITHM ON VEHICLES IMAGES
Full text linkThe use of surveillance cameras for most agencies only relies on video recordings and storing them for a certain time. The use of this surveillance camera can be applied to determine the type of vehicle even if the camera is not in the right position. Regarding the background of the problem, this research will use the Convolutional Neural Network (CNN) algorithm, which is part of Deep Learning with the help of Keras Library and TensorFlow, to carry out the learning process on videos captured by surveillance cameras so that it can detect images from 3 types of vehicles. The dataset used is 100 images of motorcycles, 100 images of cars, and 100 images of buses. The method used is the Image Classification Method, and the model used is the best model selected from several experiments. Researchers used training and test data distribution, namely 80% and 20%. The best results were obtained with an accuracy rate of 96.49% using epoch 100, learning rate 0.001, and batch size 32. Meanwhile, vehicle images produced image accuracy for motorcycle images when using test data from outside the dataset is 78.92%, car image is 81.71%, and bus image is 82.26%
POROUS CARBON FROM PINEAPPLE PEEL AS ELECTRODE MATERIAL OF SUPERCAPACITOR
Full text linkPorous carbon from biomass has a great potential to be developed. Biomass as a resource is renewable, abundantly available, and cheap. One application of porous carbon is as an electrode material of supercapacitor due to its advantageous pore properties such as high specific surface area and pore volume. This research prepared porous carbon material from pineapple peel waste and tested it as a supercapacitor electrode. The research steps were material preparation, conversion of pineapple peel to porous carbon, and characterization, including material characterization and electrochemical characterizations. Pineapple peel (under 80 mesh size) was pre-carbonized by hydrothermal method at 1900C for 2 hours under a subcritical condition. After that, biochar was pyrolyzed at 9000C and activated using CO2/N2 (KB-900-50). As a reference, biochar was also pyrolyzed under a nitrogen atmosphere at 9000C without activation (KB-900). Produced porous carbon was characterized (i) pore structures, e.g., specific surface area, average pore diameter, and total pore volume using N2-sorption analysis, and (ii) electrochemical performance, e.g., cyclic voltammetry and galvanostatic method using 1 M H2SO4 electrolyte solution. The result showed that the activation process effectively increased the porosity of porous carbon. Material (KB-900-50) possesses a high surface area of 648 m2/g and a high capacitance value of 78 F/g
BIOREMEDIATION OF TOFU INDUSTRY LIQUID WASTE USING EFFECTIVE MICROORGANISM-4 (EM4) SOLUTION (CASE STUDY OF TOFU SENTOSA INDUSTRY, YOGYAKARTA)
Full text linkLiquid waste produced from the tofu industry contains high contaminants such as BOD, COD, TDS, pH, and TSS, which can pollute the environment. Therefore, pollutants should be decreased before being discharged into the environment. Tofu waste treatment is constrained by adequate technology and high costs. Biological treatment is one of the best treatments, a waste treatment process by utilizing microorganisms. This research used the intermittent anaerobic-aerobic process and was conducted on a laboratory scale using a tank made of glass 25 cm long, 20 cm wide, 15 cm high, and a tank of 30 cm long and 15 cm wide 15 cm high. The treatment process in this research used samples adding EM4 solution with a concentration of 1/20 and samples without EM4. The stages of the research were carried out consisting of preliminary research, core research, and further research. Preliminary research used 1/20 (5%) concentration of EM4 and was fermented for four days at room temperature. As a result, the pH value decreased from 6 to 4, and the presence of a white layer above the surface. The average pollutant reduction efficiency value in the sample with Effective Microorganism-4 (EM4) and without the Effective Microorganism-4 (EM4) was tested at different duration times for each parameter. The efficiency reduction value of the sample with EM4 of BOD was 87.14%, COD 74.68%, TSS 15.88%, and TDS -17.91%, while in the sample without EM4 of BOD value was 76.54%, COD 67.78%, TSS 22.77%, TDS -16.78% with a time process of 41st day
FACTOR ANALYSIS OF HEALTHY FOOD PHOTOGRAPH
Full text linkLockdown is one way to reduce the transmission rate of COVID-19. Nevertheless, on the other hand, lockdowns also increase human psychological problems to cause the emergence of emotional eating. In addition, social media exposure that presents food photos can trigger the desire to eat. However, this only applies to high-fat and high-calorie foods, while healthy foods do not have the same stimuli. Therefore, more research is needed on the properties of healthy food photos desired by consumers in order to be able to create or design healthy food photos with an effect that resembles photos of high-fat and high-calorie foods. This study employed the Kansei Engineering approach in designing healthy food photos. Through Kansei Engineering, we can determine the nature of healthy food photos consumers want. The type of Kansei engineering used in this study was Kansei Engineering Type I and was limited to the Semantic Space stage. The process of factor reduction from the results of the semantic differential was carried out by using factor analysis to obtain the most critical factors related to healthy food photos. The semantic space spanning resulted in 23 pairs of Kansei words that related and represented healthy food photos. Based on the factor analysis results, these Kansei words were then into 6-factor groups. Each of the factor groups was represented by the Kansei word pair with the highest loadings value. The selected pair of Kansei words showed that healthy food photos could be represented by Kansei words attractive, contrast, proper lighting, neat, high-quality image, and straightforward.
FORECASTING ANALYSIS ON ELECTRICITY DEMAND IN THE SPECIAL REGION OF YOGYAKARTA UNDER THE IMPACT OF THE COVID-19 PANDEMIC
Full text linkThe COVID-19 pandemic as a global pandemic on 2020 has encouraged the Indonesian Government to establish pandemic response policies in many provinces. The policies that had been restricting mobility during the pandemic showed significant impacts in many aspects in the Special Region of Yogyakarta. A shifting pattern in electricity consumption can be seen as the growth of economic sectors in the GDP encountered contraction after the decline of community mobility. Electricity demand forecasting is required to analyze the impact of the COVID-19 pandemic by applying three scenarios, specifically an unlikely pandemic scenario or Business As Usual (BAU), moderate scenario (MOD), and optimistic scenario (OPT). Also, the household, industrial, business, social, and public sectors are analyzed in order to see the shifting pattern in electricity consumption through the scenarios that have been given. Energy modeling is conducted with Low Emission Analysis Platform (LEAP) software to analyze electricity demand forecasting from 2019 to 2030 based on the three scenarios. The results show that the electricity demand in 2030, according to BAU, MOD, and OPT scenarios, in the amount of 5,301.58 GWh, 4,489.11 GWh, and 4,648.12 GWh, respectively. According to the MOD and OPT scenarios, the electricity demands of the household and industrial sectors will increase relative to the BAU scenario. Meanwhile, according to both scenarios, the electricity demands of the business and social sectors will decrease. In the public sector, the MOD scenario shows the decline of electricity demand relative to the BAU scenario, while OPT scenario shows the opposite
FEASIBILITY ANALYSIS AND DESIGN PROJECTION OF WASTE MANAGEMENT SYSTEM IN BALIKPAPAN
Full text linkWaste generation in Balikpapan from 2016 to 2020 continues to increase by 443 to 482 tons per day. One of the efforts of DLH Balikpapan is to optimize the MRF and ITF facilities, as well as to analyze how much these facilities are needed to reduce waste generation at final disposal sites (Landfill) Manggar and enhance the durability of the landfill. The approach utilized in this study employs direct observation methods, such as data collection results on the amount of waste input and output, and secondary data, such as geometric methods and all data on waste generation in Balikpapan. The calculation of the feasibility and effectiveness analysis of the MRF inorganic waste processing facility using the recovery factor approach obtained 60.3%, while the ITF organic waste processing got a result of 45.7%.With the current condition, Manggar Landfill can be used until the end of 2025, Manggar Landfill can be used until the end of 2025. By optimizing garbage processing in these two facilities, the MRF has expanded the service coverage to 3 urban villages and has a projected age of up to 2033. It will be optimized for ITF processing facilities by utilizing process biogas. The primary objective of this research is to determine how many additional processing sites are needed starting with household waste sources thus, the calculation findings show that an additional six units of MRF facilities and ten units of ITF facilities are required. As a result, with the addition of inorganic and organic waste processing sites, Manggar's Landfill estimated age is extended until 2028
MODEL OF VEHICLE ROUTING PROBLEM WITH SPLIT DELIVERY, MULTI TRIPS, MULTI PRODUCTS AND COMPARTMENTS FOR DETERMINING FUEL DISTRIBUTION ROUTES
Full text linkThe industrial development in Indonesia encourages companies to have high sensitivity in competing to meet consumer demands promptly by considering minimum distribution costs. One of the factors that can affect distribution costs is route determination. Determining the distribution route is the Vehicle Routing Problem (VRP). The purpose of VRP is to arrange the order of distribution routes to produce a minimum total distance. This study aims to determine the fuel distribution route at TBBM Rewulu in one delivery period to obtain the optimal distribution route and minimize the vehicle mileage. Delivery is carried out using three types of tanker trucks with heterogeneous capacities. This study uses a mathematical model of Mixed Integer Linear Programming (MILP) by considering split delivery, multi trips, multi-products, and compartments.The branch and bound method in the LINGO solver has been used to solve this problem. This model was tested on a simple case using data of 8 customers with different distances and demand shipped by truck. The results obtained indicate that no boundaries are violated, and all consumers are served. The mathematical model built is still general, so it can solve similar cases. A model can be developed for further research by adding VRP variants such as time windows and adding the product types to represent the entire existing system
THE EFFECT OF RESIDENTIAL ROOM CONFIGURATION ON NATURAL VENTILATION OF RUSUN UNITS TO ACHIEVE LOW ENERGY BUILDING
Full text linkRusun is a simple flat categorized as Affordable Housing (AH), which means it requires economic energy efficiency and optimal Natural Ventilation (NV) to manifest and provide comfort for users. This research will review the effect of spatial configuration on NV conditions of Rusun unit in terms of the condition of wind flow (WF) and wind speed (WS) value in each residential room by simulation method.The condition of the unit is on the 10th floor and height of 31.5m with an outdoor WS of 1.62 m/s in three different space configurations. It was found from the simulation that residential space that has direct access from openings both inlet and exit (outlet) has a more optimal WF and WS. From the WF condition and WS value following the needs of residential user activities, it is expected to optimize NV in Rusun units and in line with that, can realize energy-efficient Rusun buildings in terms of occupancy.