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MODEL INTEGRATIF KULIAH LAPANGAN DAN CASE-BASED LEARNING DALAM PENGEMBANGAN KOMPETENSI MAHASISWA TEKNIK ELEKTRO Muljono, Agung Budi; Adnyani, Ida Ayu Sri; Harjian, Muhammad Rivaldi; Nababan, Sabar
Jurnal Pepadu Vol 6 No 3 (2025): Jurnal Pepadu
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/pepadu.v6i3.7922

Abstract

This integrative learning activity aims to develop the competencies of Electrical Engineering students through a learning model that combines Field Study and Case-Based Learning (CBL) in the Substation Technology course. Technical competence in the field of substations requires a strong theoretical foundation as well as practical skills in solving real-world problems in the field. The activity was carried out through visits to substations owned by industry partners and the development and resolution of case studies based on actual field situations. The final evaluation results show that this model had a significant impact on academic achievement, with 60.2% of students achieving excellent grades, 34.4% good, and 5.4% satisfactory. In addition, the questionnaire analysis, consisting of 10 indicators, revealed a high level of satisfaction, with 55.357% of respondents strongly agreeing and 39.285% agreeing with the effectiveness of this learning model. This model has proven to be effective as a learning strategy for strengthening student competencies while also serving as a tangible contribution of higher education in fostering synergy with society and industry.
ANALISIS SAIFI DAN SAIDI SEBAGAI INDEKS KEANDALAN PADA GARDU INDUK KUTA MENGGUNAKAN METODE SECTION TECHNIQUE AND FAILURE MODE EFFECT & ANALYSIS (FMEA) Harjian, Muhammad Rivaldi; Supriyatna, Supriyatna; Muljono, Agung Budi; Putra, R. Reski Eka
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6450

Abstract

Abstrak. Keandalan adalah nilai yang diukur melalui menggunakan parameter tertentu. Dalam sistem distribusi keandalan dapat diartikan sebagai kemampuan sistem dalam menyalurkan energi listrik secara optimal. Penelitian ini menganalisis tingkat keandalan sistem distribusi di Gardu Induk Kuta, yang terdiri dari tiga penyulang utama, yaitu penyulang Kuta, Novotel, dan Teluk Awang. Evaluasi keandalan dilakukan dengan menganalisis nilai indeks keandalan berupa SAIDI dan SAIFI dengan dua metode, yaitu metode Section Technique dan Failure Mode and Effect Analysis (FMEA). Proses untuk menentukan apakah sistem distribusi memenuhi standar keandalan, penelitian ini mengacu pada SPLN No. 68 dengan nilai SAIFI sebesar 3,2 kali/pelanggan/tahun dan SAIDI sebesar 21 jam/pelanggan/tahun. Hasil analisis menunjukkan bahwa penyulang Novotel memiliki nilai SAIFI terbaik sebesar 4,26 kali/tahun/pelanggan, sedangkan penyulang Teluk Awang memiliki nilai SAIFI tertinggi sebesar 22,198 kali/tahun/pelanggan. Untuk indeks keandalan SAIDI pada penyulang GI Kuta, hanya penyulang Novotel yang sesuai standar SPLN No. 68 dengan nilai 12,9 jam/pelanggan/tahun. Sedangkan, hasil percobaan menggunakan software ETAP menunjukkan bahwa nilai SAIFI pada penyulang Novotel menjadi yang paling kecil dengan nilai 4,458 kali/tahun/pelanggan, sedangkan nilai SAIFI terbesar terjadi pada penyulang Kuta dengan 25,63 kali/tahun/pelanggan.Abstract. Reliability serves as a key indicator represented by an index or numerical value. Broadly, system reliability is defined as the capability of a power system to deliver an adequate electricity supply while maintaining satisfactory quality standards. This study conducts a comprehensive analysis of the reliability level of the distribution system at the Kuta Main Substation. The substation is supported by three feeders: the Kuta feeder, the Novotel feeder, and the Teluk Awang feeder. To assess the reliability of the distribution system, this study refers to SPLN No. 68 of 1986, which sets the SAIFI standard at 3.2 interruptions per customer annually and the SAIDI standard at 21 hours per customer per year. The lowest SAIFI value is found in the Novotel feeder at 4.26 times/year/customer and the highest SAIFI value is found in the Teluk Awang feeder at 22.198 times/year/customer. For the SAIDI values of the three feeders, only the Novotel feeder meets the PT.PLN SAIDI reliability index with a SAIDI value of 12.9 hours/customer/year. While in the ETAP simulation, the lowest SAIFI value is found in the Novotel feeder with a value of 4.458 times/year/customer and the highest in the Kuta feeder with a value of 25.63 times/customer/year.Keywods : Reliability, SAIFI, SAIDI, Section Technique, FMEA
Hybrid Particle Swarm Optimization–Simulated Annealing OPF for Lombok Generation Cost Reduction HARJIAN, MUHAMMAD RIVALDI; MULJONO, AGUNG BUDI; TAWAQQAL, AKBAR; PUTRA, RAJA RESKI EKA
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 13, No 4: Published November 2025
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v13i4.409

Abstract

This study proposes the application of Optimal Power Flow (OPF) in the Lombok Electricity System consisting of 19 buses and 7 generating units, with the main objective of reducing production costs under peak load conditions. The method used is a hybrid optimization method that combines two methods, namely the Particle Swarm Optimization and Simulated Annealing algorithms. Particle Swarm Optimization and Simulated Annealing (PSO–SA) method. Combining PSO and SA algorithms can improve the weaknesses of PSO with its jumping feature. In other words, the use of the PSO-SA algorithm is more effective than the PSO method. The simulation results show a generation cost of USD 31,158. The total generated power is 193,736 MW, which is equivalent to a total load of 193.34 MW. In addition, the voltage profile of all buses is at 0.95–1.05 pu and the power flow of all lines is below the thermal capacity. This finding confirms that the use of the PSO–SA algorithm effectively reduces operating costs without violating the system's operating constraints.