Article Per Year (5 Year)
p-Index From 2021 - 2026
1.463
P-Index
This Author published in this journals
All Journal ASEAN Journal of Systems Engineering Jurnal Teknosains Journal of Engineering and Management in Industrial System Indonesian Journal of Life Cycle Assessment and Sustainability Jurnal Logistik Indonesia JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Journal of Applied Engineering and Technological Science (JAETS) TIERS Information Technology Journal JOCHAC
Bertha Maya Sopha
Universitas Gadjah Mada
Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Mechanical Engineering Public Health Social Sciences Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 4 Documents
Search
Journal : ASEAN Journal of Systems Engineering

 1 
HYBRID POWER SYSTEM MODELING FOR ELECTRICITY SYSTEM IN SUMBAWA DISTRICT (HYBRID POWER SYSTEM MODELING) sumartono -; Ahmad Agus Setiawan; Bertha Maya Sopha
ASEAN Journal of Systems Engineering Vol 3, No 1 (2015): ASEAN Journal of Systems Engineering
Publisher : Master in Systems Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1190.425 KB)

Abstract

Include the provision of energy management, utilization and enterprise shall be done justice, sustainability and so can not give optimal benefits for the greater welfare of the people. Sumbawa has a variety of potential sources of renewable energy such as; water energy, solar energy, wind energy, geothermal energy and biomass. From a variety of renewable energy potential can be made a model of hybrid power system design for the electrical system in Sumbawa is based on renewable energy in the region.             The purpose of this study was to determine the magnitude of the potential of renewable energy for power generation, knowing large share of renewable energy to the electrical energy needs and design a model of hybrid power system for electrical system in Sumbawa by using HOMER (Hybrid Optimisation Model for Electric Renewables).             The results of this study recommend a model of hybrid power system that is optimum for a total net present cost (NPC) US $ 144,954,400, operating cost of US $ 1,801,515 / year, the cost of electric (COE) US $ 0.090 / kWh of excess electricity and 99,072,760 (kWh / year) and the contribution of each component of the capacity modeling results are; PV Array 4.4%; wind turbine 20.3%; hydro turbine 74.4%; biomass generator 0.8%; G1 and G2 diesel generator as a back-up system by 0.1%. The results of model simulations also show that the model of hybrid power system that is recommended to have much lower levels of emissions than conventional systems where there is a reduction in the level of emissions into the environment by 99.75%. Thus the hybrid power system for electrical system in Sumbawa considered feasible as an alternative solution to meet the electrical energy needs in Sumbawa
ENERGY MODELLING AND FORECASTING OF DAERAH ISTIMEWA YOGYAKARTA 2025 Eko Haryono; Deendarlianto -; Bertha Maya Sopha
ASEAN Journal of Systems Engineering Vol 2, No 2 (2014): ASEAN Journal of Systems Engineering
Publisher : Master in Systems Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (520.544 KB)

Abstract

Daerah Istimewa Yogyakarta (DIY) is one of the provinces in Indonesia which does not have a backup or potential sources of non-renewable primary energy. The non-renewable energy demand until this time, such as oil,coal and gas is supplied from the outside. DIY is in Java Madura Bali (JAMALI) interconnerction system and has not had a large-scale power systems. While DIY has renewable energy sources such as hydro, solar, wind, wave and biomass energy. These renewable energy sources are alternative energy that have not been optimally used. The lack of reserve energy resources that resulting dependence of energy supply from other areas should receive special attention from DIY government. To meet energy demand, the energy resources development is required. Due to the energy resources development requires a long time and high cost, it is necessary to be supported by good planning in energy policy.The purpose of this study is to determine the balance of energy demand and supply of  DIY until 2025. Furthermore, the purpose of this study is to find out a mix number of renewable energy. The Indonesian government has launched a vision of 25/25 which expection in 2025, the mix number of renewable energy will be 25%.The results of this study indicate that in 2025, the Transportion Sector is the largest energy user sector in DIY at 52.37%, followed by Household Sector (32.70%), Commercial Sector (8.26%), Other Sector (4.64%), and Industrial Sector (2.04%). The high level of energy consumption in the Transportation Sector is caused by the increasing number of vehicles especially motorcycles and passenger cars considering DIY is a student and tourism city. In term of the type of energy used, in 2025, the gasoline is the greatest type of energy demand (41.8%), followed by LPG (23.97%), electricity (18.14%) and diesel oil (11, 74%). This indicates that the fuel oil is still the main energy source for the DIY community activities. When viewed from supply side, most of the energy needs in DIY are supplied from outside. If the development of enewable energy targets DIY reached, the renewable energy mix is obtained by 0.53 %.
SOLAR AND WIND ENERGY MODELLING FOR CENTRAL BANGKA REGENCY, BANGKA BELITUNG PROVINCE Wahyu Edifikar; Bertha Maya Sopha; Ahmad Agus Setiawan
ASEAN Journal of Systems Engineering Vol 4, No 1 (2020): ASEAN Journal of Systems Engineering
Publisher : Master in Systems Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Central Bangka is a developing regency in Bangka Belitung Island Province. Geographically Bangka Belitung Islands is not far from the equator. The development of human resources and infrastructure for the energy sector is an integral part of regional development efforts. To fulfill the district's energy, we need to look at the potential of renewable energy such as wind power and solar power within the district. This research also provides the potential renewable energy capacity configuration through a simulation.This research used the simulation approach method to map the energy demand over the district and renewable energy available in the region. Energy demand data received from the National Electrical Company (PLN) of Bangka Belitung Province, and potential renewable energy data were obtained from the Ministry of Energy and Mineral Resources of The Republic of Indonesia and the NASA website. Software HOMER is used to analyze electrical energy potential from renewable energy sources.The simulation shows wind energy could provide 0.15 – 0.19 kW and solar power at 3.99 – 4.96 kW/m2/day. The optimum configuration of energy supply consists of 61.4% solar energy and 38.6% wind energy. The hybrid configuration above using the solar photovoltaic (PV) output of 286,981 kWh/year and wind generator output of 180,758 kWh/year and an estimated value of $1,663,598.53 for capital cost, $134,548.34 of operational cost, and cost of energy generated at $0.43/kWh. 
SENSITIVITY ANALYSIS OF HYPERPARAMETER IN SOLAR ENERGY PREDICTION MODEL USING GRADIENT BOOSTING METHOD Ramadhan, Aska; Sopha, Bertha Maya; Ridwan, Mohammad Kholid
ASEAN Journal of Systems Engineering Vol 9, No 1 (2025): ASEAN Journal of Systems Engineering
Publisher : Master in Systems Engineering

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ajse.v9i1.78322

Abstract

Solar energy prediction is one alternative to handling unpredicted conditions of weather and solar radiation intensity. It could be the most important factor in achieving stability in electricity generation using solar energy resources. In making predictions, the use of machine learning models has been carried out by various methods, and in this study, the method used for the algorithm model is gradient boosting. In the modeling process using gradient boosting, several hyperparameter settings are needed. Hyperparameters have an important role in producing stable predictive patterns and can avoid overfitting or underfitting conditions. In this study, the accuracy and speed of prediction of the machine learning model with the gradient boosting approach, namely XGBoost and LightGBM, were analyzed in relation to setting the hyperparameter learning rate and max depth of the model's prediction pattern. The dataset used spans 6 months at a data resolution rate of every 5 minutes and includes meteorological data at the location point of Energy Laboratory UKRIM Yogyakarta as well as the output value of PLTS power and temperature panels onsite. Setting the hyperparameter learning rate in the highest and lowest conditions generates accuracy values with a difference of 2% and about the same prediction speed. With nMAE values of 2.84% and 1.35% and nRMSE values of 6.11% and 3.68%, respectively, the higher learning rate results in lower error values for both models. The XGBoost model shown tendency for overfitting and slower prediction speeds with the highest max depth setting. The prediction speed is faster at the lowest max depth condition, but the XGBoost and LightGBM models both exhibit underfitting.
Co-Authors Abd. Rasyid Syamsuri Ahmad Agus Setiawan Ahmad Agus Setiawan Alditya Perkasa Sri Haryoto Anak Agung Ngurah Perwira Redi Anasrul, Rahmad Fajri Anna Maria Sri Asih Budhi Sholeh Wibowo Deendarlianto Dewi Masri Ho, Hwi-Chie hyldan Natawiguna Karima, Halim Qista Liperda, Rahmad Inca Mochammad Arbi Hadiyat Mohammad Kholid Ridwan Ramadhan, Aska Rinaldy, Ravi Prananda Setiowati Setiowati Sholeh Ma’mun Sumartono - Sunyoto Usman Venessa, Venessa Wagiman Wagiman Wahyu Edifikar