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All Journal Journal of Geoscience, Engineering, Environment, and Technology JMM (Jurnal Masyarakat Mandiri) JAREE (Journal on Advanced Research in Electrical Engineering) Jurnal Pengabdian Masyarakat eProceedings of Engineering Jurnal Rekayasa elektrika Jurnal INFOTEL Emitor: Jurnal Teknik Elektro
I Gede Putu Oka Indra Wijaya
Telkom University
Humanities Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Physics Public Health Other

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Perencanaan Pembangkit Hybrid Optimal Di Grid 3 Nusa, Pulau Nusa Penida I Gede Putu Oka Indra Wijaya; Sudarmono Sasmono; Wahmisari Priharti
eProceedings of Engineering Vol 9, No 5 (2022): Oktober 2022
Publisher : eProceedings of Engineering

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

Abstract

Abstract—Currently on the island of Nusa Penida only electricity is supplied from the diesel electric power plant Kutampi. The plan is that in 2022 there will be an additional source of electricity that comes from PV solar energy. In addition to the two power plants already mentioned, this study will examine the option of adding wind power plant. The characteristics of renewable energy generators are intermittent and non-dispatchable, so a BESS (battery energy storage system) is also used as power smoothing and frequency control. The planning for the optimal hybrid power plant in Nusa Penida aims to increase the contribution of renewable energy and reduce the COE (Cost of Electricity) lower than the existing COE of Diesel Power Plant in 2018, that is 19 cent$/kWh. As well as testing the stability of the system frequency with the allowable range according to the Java, Madura, and Bali Grid Code, which ranges from 49.0 Hz – 51.0 Hz. Keywords—Nusa Penida, diesel electric power plant, PV solar energy, wind power plant, BESS, hybrid power plant, renewable energy, optimal
RANCANG BANGUN SMART LIGHTING BERBASIS ARDUINO UNTUK MENINGKATKAN KEMAMPUAN ELEKTRONIKA KEPADA SISWA SEKOLAH MENENGAH KEJURUAN I Gede Putu Oka Indra Wijaya; Bandiyah Sri Aprillia; Mohamad Ramdhani; Irwan Purnama
JMM (Jurnal Masyarakat Mandiri) Vol 8, No 4 (2024): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v8i4.24300

Abstract

Abstrak: Modernisasi sistem kelistrikan, seperti pengendalian penggunaan energi listrik dalam rumah tangga, akan berdampak signifikan pada efisiensi energi. Dalam konteks tersebut, pengembangan teknologi di bidang elektronika berbasis Internet of Things (IoT) di era Revolusi Industri 4.0 menjadi sangat penting. Program rancang bangun smart lighting berbasis Arduino di SMK IGASAR PINDAD Bandung bertujuan meningkatkan pemahaman dan keterampilan siswa dalam bidang elektronika. Melalui proyek ini, siswa diajak berkolaborasi dan berinovasi untuk mengembangkan solusi yang efektif. Program terdiri dari pelatihan teori, praktik perakitan, proyek kolaboratif, dan evaluasi berkala. Selama kegiatan ini para siswa yang berjumlah 24 orang dari kelas XI dapat menjawab pertanyaan dengan rerata akurasi jawaban 63%. Kegiatan pengabdian masyarakat ini diharapkan memberikan kontribusi nyata dalam meningkatkan pemahaman dan keterampilan siswa dalam teknologi elektronika dan Internet of Things (IoT), serta mendukung visi sekolah dalam menciptakan lingkungan pembelajaran yang mendukung perkembangan potensi siswa di bidang elektronika. Berdasarkan hasil kuisioner, masyarakat sasar dominan puas dengan kegiatan pengabdian masyarakat yang dilaksanakan. 68% dari masyarakat sasar sangat setuju dan setuju kegiatan serupa dapat dilanjutkan di masa yang akan datang.Abstract: The modernization of electrical systems, such as controlling electricity usage in households, will have a significant impact on energy efficiency. In this context, the development of electronics technology based on the Internet of Things (IoT) in the era of the Industrial Revolution 4.0 becomes very important. The Arduino-based smart lighting design program at SMK IGASAR PINDAD Bandung aims to enhance students' understanding and skills in electronics. Through this project, students are encouraged to collaborate and innovate to develop effective solutions. The program consists of theoretical training, practical assembly, collaborative projects, and periodic evaluations. During this activity, the 24 participating students from class XI achieved an average answer accuracy of 63%. This community service activity is expected to make a tangible contribution to improving students' understanding and skills in electronics and IoT technology, as well as supporting the school's vision of creating a learning environment that fosters students' potential in electronics. Based on the questionnaire results, the target community was predominantly satisfied with the community service activities conducted. 68% of the target community strongly agreed or agreed that similar activities should be continued in the future. 
Reducing Operational Costs in Sulselbar’s 150 kV System with Electromagnetic Field and Sine-Cosine Optimization Ikhsan, Rifki Rahman Nur; Marsuki, Aminah Indahsari; Wijaya, I Gede Putu Oka Indra
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 9, No 1 (2025): January
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v9i1.458

Abstract

Dynamic economic dispatch (DED) is a crucial task in modern power systems, requiring efficient optimization to minimize generation costs while satisfying operational constraints. This study introduces a Hybrid Electromagnetic Field Optimization with Sine-Cosine Algorithm (EMFO-SCA) tailored to address the unique challenges of the Sulselbar 150 kV power system. Specifically, the algorithm is designed to handle non-linear cost functions, complex constraints, and dynamic load variations across a 24-hour scheduling period. EMFO-SCA achieves a balanced integration of global exploration (via Electromagnetic Field Optimization) and local exploitation (via the Sine-Cosine Algorithm), resulting in robust optimization performance. Applied to a system with seven active generator buses, EMFO-SCA demonstrates an average operational cost reduction of 0.27% compared to the Kho-Kho Algorithm (KKA). This improvement translates to measurable cost savings while maintaining strict adherence to generation limits, ramp rate constraints, and power balance at all intervals. For instance, during peak demand at 521.52 MW (hour 12), the method effectively minimizes costs without compromising operational reliability. The dual-phase design of EMFO-SCA enables faster convergence and higher accuracy than conventional methods, making it a scalable solution for real-world DED challenges. By optimizing power generation schedules dynamically and reliably, this study establishes EMFO-SCA as a significant advancement in energy system optimization, with clear potential for practical deployment in similar power systems.
Data Adjustment for ARIMA Method to Investigate the Impact of Pandemic on Electricity Consumption Prediction in Indonesia Wijaya, I Gede Putu Oka Indra; Kristi, Meilinda Santa; Maharani, Nabila Sri; Raharjo, Jangkung
Emitor: Jurnal Teknik Elektro Vol 25, No 1: March 2025
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/emitor.v25i1.8676

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Indonesia's rapid population growth and industrial expansion have significantly increased electricity consumption over the past decades. However, the COVID-19 pandemic has had a profound impact on the energy sector, causing a sharp decline in electricity demand. This disruption not only altered electricity consumption patterns but also forced a downward revision of the national electricity consumption target by approximately 10% compared to the government's initial projection. Understanding these shifts is crucial for ensuring sustainable energy planning and policy development. This study aims to analyze the impact of the pandemic on electricity consumption and forecast electricity demand in Indonesia from 2021 to 2045 using the Autoregressive Integrated Moving Average (ARIMA) method. Two forecasting scenarios are examined: one incorporating data from 2020 and another excluding it. The results indicate that excluding the 2020 data yields a more realistic projection, estimating electricity consumption to reach 610,807.8 GWh by 2045. The predictive performance of the ARIMA model is validated with statistical metrics, achieving an RMSE of 2,807.25, MAE of 1,481.25, and MAPE of 5.47%, with an overall accuracy of approximately 94.53%. These findings demonstrate that the ARIMA method is a robust and reliable tool for long-term electricity demand forecasting in Indonesia. The insights gained from this study provide valuable guidance for policymakers and energy planners in designing resilient and adaptive strategies to accommodate future electricity demand while considering the impacts of unprecedented disruptions such as pandemics.
KONVERSI SEPEDA KONVENSIONAL MENJADI SEPEDA LISTRIK UNTUK MENINGKATKAN KOMPETENSI SISWA SMKN DALAM BIDANG ELEKTRIFIKASI KENDARAAN Pasaribu, Raze Van Willy; Wijaya, I Gede Putu Oka Indra; Aprillia, Bandiyah Sri
JMM (Jurnal Masyarakat Mandiri) Vol 9, No 4 (2025): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v9i4.32861

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Abstrak: Tantangan elektrifikasi kendaraan menuntut kesiapan tenaga kerja terampil di bidang tersebut. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan pemahaman dan keterampilan siswa SMKN 4 Bandung dalam konversi sepeda konvensional menjadi sepeda listrik. Metode yang digunakan meliputi sosialisasi, pelatihan, dan praktikum, diikuti oleh 20 siswa kelas XI. Evaluasi dilakukan melalui pre-post test sebanyak 5 soal dan 7 buah pernyataan untuk kuesioner kepuasan peserta. Hasil menunjukkan 87% siswa menjawab benar dalam post test, mencerminkan peningkatan pemahaman terhadap sistem konversi, khususnya komponen penggerak dan fungsi throttle. Sebanyak 99,29% peserta menyatakan puas terhadap pelatihan, meskipun terdapat masukan mengenai waktu pelaksanaan. Pelatihan ini berhasil meningkatkan keterampilan teknis dan relevansi pemahaman siswa terhadap energi terbarukan, serta layak untuk dilanjutkan pada kegiatan serupa di masa depan.Abstract: The challenge of vehicle electrification requires skilled human resources. This community service program aimed to enhance students’ knowledge and skills in converting conventional bicycles into electric bikes at SMKN 4 Bandung. The program involved 20 eleventh-grade students and used methods such as socialization, training, and hands-on workshops. Evaluation was conducted through pre- and post-testsof 5 questions and 7 questions for the satisfaction surveys. Results showed that 87% of students answered correctly in the post-test, indicating improved understanding of conversion systems, especially the drive components and throttle functions. A total of 99.29% of participants expressed satisfaction, although some suggested time management improvements. Overall, the training effectively increased students’ technical competencies and awareness of renewable energy and is recommended for future implementation.
Equal Incremental Cost Method dengan Adjustable Gamma Control untuk Menyelesaikan Penjadwalan Pembangkit Rahmat, Basuki; Wijaya, I Gede Putu Oka Indra; Ikhsan, Rifki Rahman Nur; Yustika, Lindiasari Martha; Raharjo, Jangkung
JURNAL INFOTEL Vol 16 No 3 (2024): August 2024
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v16i3.1170

Abstract

Generator scheduling remains an intriguing issue within the energy industry. It relates to the optimization of production costs, where system operators must select the optimal combination of available resources to minimize production costs. This paper proposes an enhancement to the Equal Incremental Cost (EIC) Method using Adjustable Gamma Control (AGC) in generator scheduling. Iterations begin with an initial lambda value, then gradually increase with the application of the factor until power demand is met. A variable of 10% is used as an adjustment step in the optimization method. The proposed method is capable of achieving convergence with 100% accuracy, where the power generated by all generators precisely matches the load demand (2,650 MW), at a cost of USD 32,289.03. EIC-AGC ranks second-best after VLIM, albeit with the consequence of consuming 195 seconds. This method is expected to have a significant impact on designing highly accurate economic dispatch techniques. Thus, generator scheduling will lead to a reduction in operational costs compared to current practices.
Multi-Objective in Mapping the Optimal Distributed Generation Configuration through GWOA to Enhance Grid Performance Reliability Wijaya, I Gede Putu Oka Indra; Ikhsan, Rifki Rahman Nur; Yustika, Lindiasari Martha; Raharjo, Jangkung
Jurnal Rekayasa Elektrika Vol 21, No 3 (2025)
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17529/jre.v21i3.42929

Abstract

In electric power distribution systems, the distance between the load bus and the generating unitsignificantly affects grid efficiency and reliability, with longer distances causing greater voltage drops. To mitigatethis, Distributed Generation (DG) is increasingly being used, generating electricity closer to the point of consumption.Determining the optimal DG location requires advanced metaheuristic methods. This research proposes the Grey WolfOptimizer Algorithm (GWOA) to determine optimal DG placement, tested on the IEEE 14-bus distribution grid. Themethod generated two scenarios: In the first scenario, power losses were reduced by 98.1465% for real power and98.9538% for reactive power compared to the existing conditions, while voltage increased by an average of 0.0127 p.u.for all buses combined. The second scenario also showed a notable voltage increase of 0.0064 p.u. The GWOA methodproves to be an efficient and effective solution for DG placement, enhancing system reliability and protectinghousehold electronic devices.
Pelatihan Pemodelan Instalasi PLTB Sebagai Improve Kurikulum Pengajaran di SMKN 4 Bandung Wijaya, I Gede Putu Oka Indra; Yustika, Lindiasari Martha; Adam, Kharisma Bani
Jurnal Pengabdian Masyarakat - PIMAS Vol. 3 No. 3 (2024): Agustus
Publisher : LPPM Universitas Harapan Bangsa Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35960/pimas.v3i3.1470

Abstract

The TSE-Creative Teaching’s Workshop is a community service program by the undergraduate Energy Systems Engineering faculty aimed at sharing knowledge with teachers at SMKN 4 Bandung. This workshop aims to assist teachers in integrating educational technology into their teaching methods. Teachers will learn how to use hardware to install Wind Power Plants (PLTB) and simulate PLTB installations. This aims to enhance the teachers' experience so they can transfer their knowledge to students, preparing them for the clean energy transition in the digital era. During this activity, the teachers achieved an average accuracy of 61% in answering questions correctly. Based on the questionnaire results, 100% of SMKN 4 Bandung participants agreed or strongly agreed on the relevance of the implemented community service program. Through this training, it is expected that teachers will improve their understanding of renewable energy, inspiring and guiding students in understanding the importance of renewable energy and their role in environmental conservation. Additionally, this training is expected to strengthen the school's involvement in sustainable practices and spread awareness about the importance of renewable energy within the local community.
Application of Spatial Methods in Predicting Electricity Demand Based on Small Islands in Sebatik Island Divided by Two Countries Wijaya, I Gede Putu Oka Indra; Marsuki, Aminah Indahsari
Journal of Geoscience, Engineering, Environment, and Technology Vol. 10 No. 1 (2025): JGEET Vol 10 No 01 : March (2025)
Publisher : UIR PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25299/jgeet.2025.10.1.19060

Abstract

Indonesia, as the largest archipelagic country in the world, also has several outer islands. Sebatik Island is one of the 92 outer small islands of Indonesia, located in a strategic position as it borders Malaysia. Various needs of society, one of which is electricity, are very important for people's lives and economic development. Thus, the goal is for all households in Indonesia to have access to electricity by 2024, with both the electrification rate and the ratio of electrified villages reaching 100%. An electricity plan is also necessary to help ensure that electricity is distributed fairly and equitably throughout Indonesia. Load prediction is an essential aspect of the load side of the electric power system that requires careful planning. Machine learning methods are not suitable for application in load prediction analysis in remote areas of small islands, which have limited space. Therefore, this research presents an alternative approach, specifically the spatial method utilizing (RTRW) documents. The application of this spatial method is intended to offer an overview of electricity load predictions that are more aligned with the actual situation. This spatial method analyzes the area size with land use development patterns according to local policies, multiplied by the standard definition of an activity in each spatial unit. Thus, an estimate of the peak load for each year is obtained, even up to ultimate conditions. The load prediction model follows the Gompertz equation, where the ultimate condition obtained is 63.55 MW, which may occur 118 years from the starting point in 2022. Choosing a 90% confidence level in the Monte Carlo simulation provides a reasonable range of predicted values. Based on this new knowledge, a country's electric utility will be able to build infrastructure and generate electricity in a more efficient manner.
Co-Authors AMINAH INDAHSARI MARSUKI Bandiyah Sri Aprillia Bandiyah Sri Aprillia Basuki Rahmat Masdi Siduppa Irwan Purnama Jangkung Raharjo Kharisma Bani Adam Kristi, Meilinda Santa Maharani, Nabila Sri Mohamad Ramdhani Pasaribu, Raze Van Willy Rifki Rahman Nur Ikhsan Sudarmono Sasmono Wahmisari Priharti Yustika, Lindiasari Martha