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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

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.

Peningkatan Kesadaran Energi Baru Terbarukan (EBT) Di SMKN 6 Bandung Melalui Program Penyuluhan Terpadu Hasudungan, Jaspar; Marsuki, Aminah Indahsari; Ikhsan, Rifki Rahman Nur; Maharani, Nabila Sri; Kristi, Meilinda Santa; Padillah, Syipa Nuraeni
Nobel Community Services Journal Vol 5 No 1 (2025): Nobel Community Services Journal
Publisher : Lembaga Penelitian, Publikasi dan Pengabdian Masyarakat ITB Nobel Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37476/ncsj.v5i1.5221

Program pengabdian Masyarakat ini bertujuan untuk meningkatkan wawasan dan pemahaman siswa SMKN 6 Bandung yang mengambil jurusan elektronika tentang Energi Baru Terbarukan (EBT) melalui pemahaman terpadu. Aktivitas dilaksanakan dengan metode penyuluhan interaktif yang mencakup presentasi visual, dan demonstrasi alat Pembangkit Listrik Tenaga Surya portable, dan sesi diskusi untuk memaksimalkan keterlibatan para peserta. Peningkatan pemahaman siswa dikaji melalui pre-test dan post-test, sementara perubahan sikap dan motivasi diukur lewat wawancara mendalam. Hasilnya menunjukkan peningkatan rata-rata skor pemahaman sebesar 10,64 poin, dari 50,21 di pre-test menjadi 60,85 di post-test serta antusiatisme siswa mengalami peningkatan setelah demonstrasi alat yang menunjukkan pengubahan energi matahari menjadi Listrik. Program ini juga menghasilkan materi edukatif dalam bentuk modul dan video dokumentasi yang dipublikasikan di YouTube. Kegiatan ini diharapkan dapat mendorong siswa berperan dalam mendukung peralihan energi berkelanjutan di sekolah ataupun lingkungan sekitar.

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

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.

Perbandingan Algoritma Sine Cosine dan Kelelawar untuk Penempatan Pembangkit Listrik Terdistribusi Lindiasari Martha Yustika; Jangkung Raharjo; Rifki Rahman Nur Ikhsan; I Gede Putu Oka Indra Wijaya
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 3: Agustus 2025
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i3.19191

The enhancement of electricity distribution is a crucial factor in supporting sustainable development and reducing energy access inequality. To ensure the reliability and stability of energy systems, the integration of distributed generation (DG) has a significant role. Numerous studies have explored optimal DG placement using metaheuristic methods. The study evaluated the performance of both algorithms based on key indicators, including voltage profile improvement and power loss reduction, under normal load conditions and under a 10% load increase to simulate future demand growth. The methods employed were the sine-cosine algorithm (SCA) and the bat algorithm (BA). By comparing these two methods, this study aims to optimize the placement and sizing of DG units, with a case study based on the IEEE 9 bus system configuration. Load flow analysis was performed using Electric Transient Analysis Program (ETAP) software to validate the effectiveness of optimized DG placement under various scenarios. Key performance indicators, namely losses reduction and improvement of voltage profile, were evaluated to determine the relative strengths of each algorithm. The results show that both SCA and BA are effective in optimizing DG implementation. Specifically, SCA achieved reductions in active power losses by up to 85% and reactive power losses by 93%, outperforming BA in certain scenarios. Both algorithms enhance system reliability and stability. These findings highlight the potential of metaheuristic algorithms to address the challenges of modern energy systems and contribute to the broader goal of developing sustainable power systems.

Analysis of Emission Reduction in Indonesia's Power Generation Sector for the Centennial Milestone using Grammatical Evolution and ARIMA Raharjo, Jangkung; Wijayanto, Inung; Nur Ikhsan, Rifki Rahman; Indra Wijaya, Igpo; Nugroho, Bambang Setia; Rokhmat, Mamat
JOIV : International Journal on Informatics Visualization Vol 9, No 3 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.3.3067

This study examines the Indonesian government's commitment to reducing electricity production, a crucial element in achieving sustainable energy. Historically, Indonesia depends on non-renewable energy sources, including coal and oil. Indonesia is presently transitioning to cleaner energy alternatives. This policy is done to align with the objective of global sustainability. This pivotal action by the Indonesian government aims to accelerate the adoption of low-carbon technology by society. Through careful planning, Indonesia aims to establish a sustainable and resilient energy framework that addresses both current and future environmental challenges. The active participation of both the state and private sectors is crucial to support this transition. For instance, investment in research and development of sustainable technology by the private sector can accelerate the improvement or creation of a more sustainable energy framework. Innovative technologies, such as solar, hydropower, and wind, can significantly contribute to reducing carbon footprints. This study conducted an extensive observation and evaluation of the contribution of Indonesia's power generation sector to achieving net-zero emissions. This study utilizes the Autoregressive Integrated Moving Average (ARIMA) and Grammatical Evolution (GE) to predict the overall electrical capacity trajectory leading up to Indonesia's Centennial in 2045. By utilizing the exponential grammar, GE outperforms ARIMA in predicting energy forecasts. This research sheds light on Indonesia's transformative efforts, contributing to a broader understanding of how to cultivate a sustainable and environmentally responsible energy future.

Equal Incremental Cost Method dengan Adjustable Gamma Control untuk Menyelesaikan Penjadwalan Pembangkit Basuki Rahmat; I Gede Putu Oka Indra Wijaya; Rifki Rahman Nur Ikhsan; Lindiasari Martha Yustika; Jangkung Raharjo
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

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.

Perbandingan Algoritma Sine Cosine dan Kelelawar untuk Penempatan Pembangkit Listrik Terdistribusi Lindiasari Martha Yustika; Jangkung Raharjo; Rifki Rahman Nur Ikhsan; I Gede Putu Oka Indra Wijaya
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 3: Agustus 2025
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i3.19191

The enhancement of electricity distribution is a crucial factor in supporting sustainable development and reducing energy access inequality. To ensure the reliability and stability of energy systems, the integration of distributed generation (DG) has a significant role. Numerous studies have explored optimal DG placement using metaheuristic methods. The study evaluated the performance of both algorithms based on key indicators, including voltage profile improvement and power loss reduction, under normal load conditions and under a 10% load increase to simulate future demand growth. The methods employed were the sine-cosine algorithm (SCA) and the bat algorithm (BA). By comparing these two methods, this study aims to optimize the placement and sizing of DG units, with a case study based on the IEEE 9 bus system configuration. Load flow analysis was performed using Electric Transient Analysis Program (ETAP) software to validate the effectiveness of optimized DG placement under various scenarios. Key performance indicators, namely losses reduction and improvement of voltage profile, were evaluated to determine the relative strengths of each algorithm. The results show that both SCA and BA are effective in optimizing DG implementation. Specifically, SCA achieved reductions in active power losses by up to 85% and reactive power losses by 93%, outperforming BA in certain scenarios. Both algorithms enhance system reliability and stability. These findings highlight the potential of metaheuristic algorithms to address the challenges of modern energy systems and contribute to the broader goal of developing sustainable power systems.

Talent Mapping dan Science Dasar Bagi Siswa Siswi Sekolah Menengah Atas Asholihiyah Untuk Mengetahui Potensi Minat Dan Bakat Di Bojongsari Kabupaten Bandung Efri Suhartono; Deasy Puspawati; Ekki Kurniawan; Rifki Rahman Nur Ikhsan; Ahmad Zaky Rafif Musthafa; Fauzan Adhima Hilmi; Umar Afnan Rahmatullah; Dewa Mahardhika Pratama B
The Proceeding of Community Service and Engagement (COSECANT) Seminar Vol. 4 No. 2 (2024): The Proceeding of Community Service and Engagement (COSECANT) Seminar
Publisher : Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/cosecant.v4i2.8494

Program ini bertujuan untuk mengidentifikasi awal terhadap minat dan bakat siswa-siswi Sekolah Menengah Atas Asholihiyah di Bojongsari, Kabupaten Bandung melalui pendekatan talent mapping dan pengenalan sains dasar. Metodologi yang digunakan meliputi tes bakat, wawancara, dan pengenalan konsep-konsep sains untuk mengasah kemampuan berpikir kritis siswa. Penelitian ini menemukan bahwa sebagian besar siswa memiliki potensi yang beragam di bidang akademik, seni, dan olahraga, namun belum sepenuhnya memahami atau memanfaatkan kemampuan tersebut. Orisinalitas penelitian terletak pada penerapan gabungan metode talent mapping dengan sains dasar untuk memberikan panduan strategis bagi pengembangan diri siswa. Implikasi dari penelitian ini menunjukkan bahwa program serupa dapat diadopsi oleh sekolah lain untuk membantu siswa mengoptimalkan potensi mereka dan mempersiapkan diri menghadapi tantangan pendidikan dan karier di masa depan.

Comparative Analysis of YOLOv8 and YOLOv11 for Wildlife Detection in Natural Habitats FELIX CORPUTTY; AHMAD SULTHON JAUHARI; DARIELE ZEBADA SANUWU GEA; IVAN FEBRIANTO LALO; RIFKI RAHMAN NUR IKHSAN; ADE ADITYA RAMADHA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 14, No 3: Published July 2026
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v14i3.288

Wildlife monitoring in natural habitats remains difficult due to occlusion, camouflage, and varying illumination, which limit the performance of conventional object detection systems. Although recent YOLO-based models have shown strong potential, systematic comparisons between newer architectures in real ecological environments are still limited. This study evaluates YOLOv8 and YOLOv11 using 6,165 images from 14 wildlife classes collected at Taman Buru Gunung Masigit Kareumbi, with data augmentation applied to improve robustness. Performance is evaluated using a quantitative comparative approach based on precision, recall, mAP 0.5, and mAP 0.5:0.95. The results indicate that YOLOv11 achieves higher detection accuracy with an mAP 0.5:0.95 of 0.894.

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