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Optimizing Potential Supply Chain of Biomass Agricultural Waste for Co-firing of Coal Power Plant Using MCDA, GIS, and Linear Programming in the Java and Sumatra Islands, Indonesia Ahmudi, Ali; Hudaya, Chairul; Garniwa, Iwa; Amraini, Said Zul; Sugiyono, Agus; Semedi, Jarot Mulyo; Sidqi, M. Ahsin; Daulay, Andini Dwi Khairunnisa; Yumnaristya, Syefiara Hania
Leuser Journal of Environmental Studies Vol. 3 No. 1 (2025): April 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v3i1.249

Abstract

The development of renewable energy is a key priority for the Indonesian government and many other nations. Utilizing biomass as a co-firing fuel in coal-fired power plants (PLTUs) offers a viable pathway to meet renewable energy targets in the electricity sector. Co-firing technology involves substituting coal with biomass at specific ratios while maintaining the operational quality and efficiency of the power plants. Indonesia plans to implement a co-firing program in 114 PLTUs, with a combined capacity of 18.1 GW, requiring approximately 9 million tons of biomass annually. This study aims to develop a biomass supply chain model for co-firing, focusing on transportation cost optimization. Geographic Information Systems (GIS), Multi-Criteria Decision Analysis (MCDA), and Linear Programming are employed to map biomass potential from agricultural waste, identify optimal storage and factory locations, calculate the shortest distances to PLTUs, and design an efficient supply chain. Key biomass sources considered include agricultural waste from rice, corn, cassava, palm oil, coconut, sugarcane, and rubber. The study concentrates on co-firing in the Java and Sumatra regions, which house 14 and 12 PLTUs, respectively. Assuming a 5% biomass mix, the total annual bio-pellet demand is estimated at 3.34 million tons. By contrast, the annual production capacity of bio-pellets is calculated to be 143.58 million tons, indicating a surplus supply. Optimization results confirm that the available biomass supply can adequately meet the co-firing requirements for PLTUs in Java and Sumatra. The study also identifies optimal locations for storage facilities and bio-pellet factories near PLTU sites, enhancing supply chain efficiency. By integrating data on biomass potential, storage, factory, and PLTU locations, this research facilitates the design of an effective and efficient biomass supply chain, contributing to the broader goal of renewable energy development.
Comparative Analysis of Breakdown Voltage, Temperature Rise, and Production Cost of Using Mineral Oil and Synthetic Ester in 33 MVA 132/33 kV Power Transformers Khusuma, AB Rendra; Indarto, Agus; Hudaya, Chairul; Setiabudy, Rudy; Husnayain, Faiz
International Journal of Electrical, Computer, and Biomedical Engineering Vol. 3 No. 2 (2025)
Publisher : Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62146/ijecbe.v3i2.139

Abstract

In support of achieving the net zero emission target in the power sector, the selection of environmentally friendly transformer insulating oil is very important. This study presents a comparative analysis of the dielectric and thermal performance between mineral oil and synthetic ester oil. The breakdown voltage (BDV) test was conducted with a variation of rest time of 1 minute and 10 minutes. In addition, temperature rise tests were conducted on a 33 MVA capacity power transformer with a voltage of 132/33 kV. Temperature rise testing is carried out on synthetic ester oil and mineral oil through thermal simulation with identical transformer specifications, the goal is that there are no distinguishing variables in the test. The test results show that at a rest time of 1 minute, synthetic ester oil produces fluctuating BDV values, with some data being below the minimum threshold of 60 kV according to IEC 61203 standards. In contrast, mineral oil (MO) showed stable and consistent dielectric performance. At a rest time of 10 minutes, both types of oil showed stable BDV values with low standard deviations. In terms of thermal performance, mineral oil produced a lower temperature rise than synthetic ester oil (SE), indicating better cooling efficiency. The study will also analyze the impact of transformer dimensions due to the different transformer oils used, which will result in the price of the transformer. The findings provide technical insights for manufacturers and users in selecting transformer oils that support environmental sustainability without compromising the reliability of power transformers.
Design and Implementation of the SALUTS System to Support of Improvement of Tourism Transactions and Promotion Akhir Putra, Juniardi; Nuryadi, Halid; Yuliadi, Yuliadi; Mardinata, Erwin; Hudaya, Chairul; Esabella, Shinta; Putra, Ardiansyah; Juliansyah, Ahmad
Brilliance: Research of Artificial Intelligence Vol. 3 No. 2 (2023): Brilliance: Research of Artificial Intelligence, Article Research November 2023
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v3i2.3434

Abstract

This research aims to design and build a tourism system in Sumbawa Regency. In this research is using a qualitative approach that used model of rapid application development (RAD) for system development life circle (SDLC) method. Overall the first stage is system planning, next stage is analyzing tourism data and information that would be presented on web and android technology based. In addition, for users interface display is the attractive database design. The final stage is coding the system and produce a prototype for the implementation which is presenting on the web pages and google play store for android smartphones. The system presented could be used for evaluation, monitoring and facilitating of tourism transaction and promotion processes in Sumbawa Regency.
Penguatan Karakter melalui Budaya Religius dan Nasionalis dalam meningkatkan Prestasi Belajar Siswa Sekolah Dasar Abubakar, Abubakar; Hudaya, Chairul; Adiasa, Iksan
Ainara Journal (Jurnal Penelitian dan PKM Bidang Ilmu Pendidikan) Vol. 4 No. 3 (2023): Ainara Journal (Jurnal Penelitian dan PKM Bidang Ilmu Pendidikan)
Publisher : Lembaga Penelitian dan Pengembangan Sumberdaya Wilayah (elrispeswil)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54371/ainj.v4i3.307

Abstract

Penelitian ini membahas penguatan karakter siswa melalui budaya religius dan nasionalis dalam peningkatan prestasi belajar Pendidikan Agama Islam siswa sekolah dasar di Kecamatan Bolo. Penelitian ini bertujuan untuk menganalisis pengaruh budaya religius dan budaya nasionalis dalam meningkatkan prestasi belajar Pendidikan Agama Islam serta menganalisis faktor pendukung dan penghambat dalam peningkatan prestasi Pendidikan Agama Islam belajar melalui budaya religius dan nasionalis siswa sekolah dasar di Kecamatan Bolo. Metode penelitian yang digunakan yaitu metode gabungan penelitian kuantitatif dan kualitatif (mixed methods). Metode pengumpulan data menggunakan metode pengamatan dan penyebaran kuisioner. Populasi penelitian berjumlah 65 siswa, terdiri dari SDN Inpres Rasabou 2 dan SDN Inpres Rato di Kecamatan Bolo. Prosedur pengambilan sampel penelitian ini menggunakan semua dari jumlah populasi yang ada karena jumlahnya kurang dari 100. Kesimpulan dari penelitian ini bahwa besarnya pengaruh penguatan karakter budaya religius dan nasionalis terhadap peningkatan prestasi belajar Pendidikan Agama Islam siswa sekolah dasar yaitu 27,46% sedangkan 72,54% artinya terdapat faktor penghambatnya.
Risk-based predictive maintenance of medium voltage network switching equipment using analytical hierarchy process as an analytical tool Gumilang, Erick Satriyo; Hudaya, Chairul; Sudiarto, Budi; Husnayain, Faiz
SINERGI Vol 30, No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2026.1.011

Abstract

Predictive maintenance has become crucial for enhancing the reliability and efficiency of electrical systems, especially for Medium Voltage Network (MVN) switching equipment, which plays a key role in electricity distribution. This study aimed to develop a risk-based predictive maintenance model for MVN switching equipment using the Analytical Hierarchy Process (AHP) for maintenance prioritization, along with Z-score and Monte Carlo simulation methods to evaluate risk likelihood and impact. The Z-score method assessed the probability of risks occurring, revealing a probability exceeding 90% for specific equipment, such as UP2D.2025.C4, at 93.12%. The Monte Carlo simulation assessed the potential impact of these risks, showing severe consequences for various types of equipment. For example, UP2D.2025.C1 had a mean of 28.51 and a standard deviation of 3.50, while UP2D.2025.C8 had a standard deviation of 33.17, with an impact of over 61.53%. AHP was used to assign priority weights to components based on criteria such as equipment age, operational condition, and failure history. The analysis indicated that the Lightning Arrester had the highest maintenance priority at 26.04%, followed by the Fuse Cutout at 20.62% and the Pole-Mounted Circuit Breaker at 11.15%. This research was expected to significantly contribute to the development of more efficient and effective maintenance strategies for electrical systems, particularly in the electricity distribution sector.
Design of Battery Energy Storage System as Backup Power for Suralaya Coal-Fired Power Plant Abadi, Candra Luthfian; Mukti, Nurlita Chandra; Hudaya, Chairul
International Journal of Electrical, Energy and Power System Engineering Vol. 9 No. 1 (2026): The International Journal of Electrical, Energy and Power System Engineering (I
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.9.1.1-13

Abstract

Coal dominance in Indonesia's electricity generation poses serious environmental challenges due to CO₂ emissions and harmful pollutants. In support of the Net Zero Emissions (NZE) 2050 target, alternative solutions are needed to reduce reliance on fossil-based power plants during peak load conditions. Battery Energy Storage System (BESS) offers a promising solution due to its ability to store and deliver energy efficiently. This study determines the optimal and economically feasible BESS capacity at Suralaya Coal-Fired Steam Power Plant Units 5–7 (600 MW each, total 1,800 MW). Technical analysis calculates the required reserve power and storage capacity during operational disruptions, covering energy (MWh), power (MW), and battery capacity (Ah) based on load data, disruption duration, and battery efficiency. Economic analysis applies the Cost Benefit Analysis (CBA) method, incorporating Net Present Value (NPV), Payback Period (PP), and Cost Benefit Ratio (CBR) over a 15-year period. Results indicate that a Lithium-Ion BESS with 467.83 MWh energy, 200 MW power, and 311.887 Ah capacity meets backup power requirements. The project is economically feasible, with a CBR of 5.46, a PP under 3 years, and a positive NPV.
Analysis of The Effect of Rooftop PV Integration on The Reliability of Medium Voltage Power Distribution Network Jannah, Miftahul; Nasution, Muhammad Fadli; Hudaya, Chairul
International Journal of Electrical, Energy and Power System Engineering Vol. 9 No. 1 (2026): The International Journal of Electrical, Energy and Power System Engineering (I
Publisher : Electrical Engineering Department, Faculty of Engineering, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/ijeepse.9.1.14-24

Abstract

The service area of PLN UP3 Cikupa possesses significant potential for the utilization of rooftop photovoltaic (PV) systems, particularly in the industrial sector, which generally has large roof areas and high energy consumption. This study aims to analyze the impact of rooftop PV integration on the reliability of the medium-voltage distribution system in the Stanley feeder. The evaluation was conducted through simulations using ETAP software under two load conditions: peak load and no-load, with PV penetration levels ranging from 0% to 100%. The results indicate that up to 100% PV penetration (4 MW), no voltage violations occurred at the CKP92 substation. However, there was a significant decline in the power factor, dropping to 7% under peak load conditions and to -100% under no-load conditions starting at 20% penetration, indicating reverse power flow. The PV penetration was further increased beyond 100%, and it was found that the maximum PV penetration without violating voltage limits was 400% (16 MW). At 400% penetration, overvoltage occurred on several buses, and overload was observed on specific cables, with the three-phase short-circuit current approaching the system protection threshold (15.977 kA out of a 16 kA limit). Nonetheless, rooftop PV integration provided benefits such as improved voltage profiles and enhanced system reliability, as indicated by reductions in SAIDI, SAIFI, and EENS indices. These findings suggest that rooftop PV can be optimally integrated up to a certain limit without compromising distribution system performance.