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All Journal Jurnal Informatika dan Teknik Elektro Terapan Semesta Teknika Lentera Pustaka Jurnal Sains Teknologi dan Lingkungan (JSTL) JURNAL PENDIDIKAN TAMBUSAI Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal SPORTIF : Jurnal Penelitian Pembelajaran Dielektrika : Jurnal Ilmiah Kajian Teori dan Aplikasi Teknik Elektro Jurnal Abdi Insani Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Dedikasi Jurnal Locus Penelitian dan Pengabdian Seminar Nasional Pengabdian Kepada Masyarakat Jurnal Bakti Nusa Jurnal Karya Pengabdian Teknik Mesin Jurnal Pepadu Geosfera: Jurnal Penelitian Geografi Journal of Artificial Intelligence and Digital Business Equator Science Journal (ESJ) JEITECH (JOURNAL OF ELECTRICAL ENGINEERING AND INFORMATION TECHNOLOGY) Samakta: Jurnal Pengabdian Kepada Masyarakat Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
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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
ANALISIS AREA PERLINDUNGAN SISTEM PROTEKSI PETIR PADA GEDUNG DENGAN SIMULASI PENEMPATAN DAN JUMLAH FINIAL Seniari, Ni Made; Supriyatna, Supriyatna; Natsir, Abdul; Adnyani, Ida Ayu Sri; Ginarsa, I Made; Adha, Farhan; Eduarsa, Made Octa; Karni, Wais Al; Dharma S, Bagus Widhi
Jurnal Abdi Insani Vol 11 No 2 (2024): Jurnal Abdi Insani
Publisher : Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/abdiinsani.v11i2.1213

Abstract

The theory and application of external lightning protection systems for buildings are not included in the curriculum of the Electrical Engineering Department. Instead, this material is introduced to students through skill training outside regular class schedules, with a focus on components of external lightning protection systems such as finials, down conductors, and grounding. The obligation to install lightning protection systems on buildings is mandated by Law No. 28 of 2002 and Government Regulation No. 36 of 2005. Protection from lightning requires precise planning to be effective in safeguarding buildings. Analysis of lightning strike phenomena and their consequences can be conducted by applying theoretical principles, such as electric fields, magnetic fields, induction voltage, and various theorems related to lightning strike phenomena. Students are provided with an understanding of the concept of lightning strikes, the potential dangers, and the damage they can cause to buildings, living beings, and electronic equipment both inside and outside the building that is affected by lightning strikes. In this simulation, each group is given images of buildings with varying roof shapes and sizes. The buildings are equipped with external lightning protection systems, including the number and placement of finials on the roof, which are then simulated. The effectiveness of the finials placed in these locations is tested to analyze the extent of protection, to ensure that the building is protected from the dangers of lightning strikes.  A total of 40 students participated in this activity, divided into 8 groups. Five groups successfully simulated the installation of finials to achieve an effective level of protection against lightning strikes, while the remaining three groups could only determine the extent of the protection area without being able to plan the installation efficiently. This training provides a benefit by enhancing the knowledge and skills of the students. The students' enthusiasm is reflected in active discussions and question-and-answer sessions that contribute to problem-solving.
Introduction of Solar Desalination Technology with Cooling Fans for Clean Water Supply in Warmon Kokoda Village Sorong City Southwest Papua Matonda, Kristin Seru; Ani Umkabu, Siti; Supriyatna, Supriyatna; Fenetiruma, Yufita; Ronetha Burdam, Yakomina; Suega, Salsabila; Efendi, Fajar; Hidayat, Febrian Andi; Jaharudin, Jaharudin; Santoso, Budi; Ramadany, Lisa Dewi
Samakta: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 1 (2026): Samakta: Jurnal Pengabdian Kepada Masyarakat
Publisher : CV. Dharma Samakta Edukhatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61142/samakta.v3i1.284

Abstract

The issue of clean water availability in coastal areas remains a serious challenge, particularly due to increasing seawater intrusion, which causes groundwater to become brackish and unfit for consumption. This condition is also experienced by the community in Warmon Kokoda Village, Sorong Regency, who have long depended on well water sources with high salinity levels. This community service activity aimed to introduce and train residents in the use of single-roof solar desalination technology with a solar-powered cooling fan as an energy-efficient and environmentally friendly solution for brackish water purification. The approach used was Participatory Action Research (PAR), in which the community was actively involved in socialization, learning, and hands-on practice in the manufacture and operation of the device. The results of this activity showed an increase in community knowledge about the working principles and benefits of solar desalination technology, as evidenced by the community's ability to conduct trials on the device. Technical tests showed that the device was able to reduce the salinity of brackish water from 5% to 0%, producing water suitable for consumption according to WHO standards, with good thermal efficiency for the household category. This activity had a significant impact in providing access to safe and potable water for the local community, as well as increasing independence in water resource management.
Perancangan dan Analisis Tekno-Ekonomi Solar Carport untuk Suplai Beban Auxiliary pada Main Station Building PLTS Sengkol Putra, Nanang Andhika; Yusron, Muhammad; Pratiwi, Wieny Amalia; Ratu, Dian Susila; Supriyatna, Supriyatna; Suksmadana, I Made Budi; Nratha, I made Ari
RIGGS: Journal of Artificial Intelligence and Digital Business Vol. 4 No. 4 (2026): November - January
Publisher : Prodi Bisnis Digital Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/riggs.v4i4.4234

Abstract

Pemanfaatan area parkir sebagai solar carport pada lingkungan pembangkit listrik menawarkan solusi ganda dalam meningkatkan efisiensi energi sekaligus mengoptimalkan aset lahan yang sebelumnya tidak produktif. Namun, implementasi sistem ini sering terkendala oleh tingginya biaya konstruksi, terutama ketika menggunakan struktur baja berat. Penelitian ini bertujuan merancang sistem solar carport berkapasitas 24,2 kWp dengan memanfaatkan struktur hibrida di PLTS Sengkol sebagai upaya menekan biaya investasi, sekaligus mensubstitusi beban pemakaian sendiri (auxiliary load) pada Main Station Building. Metode penelitian menggunakan simulasi PVSyst berbasis profil beban dinamis serta analisis ekonomi Discounted Cash Flow (DCF) untuk menilai performa teknis dan kelayakan finansial. Hasil penelitian menunjukkan bahwa strategi struktur hibrida mampu menurunkan biaya investasi menjadi Rp 9,05 juta/kWp, jauh lebih rendah dibandingkan standar industri. Sistem ini diproyeksikan menghasilkan energi sebesar 40,65 MWh/tahun dengan Performance Ratio (PR) sebesar 81,8%, sehingga mampu memenuhi 100% kebutuhan beban auxiliary gedung. Dari aspek ekonomi, proyek menjadi layak dengan nilai Net Present Value yang positif dan masa pengembalian modal kurang dari empat tahun. Temuan ini menegaskan bahwa solar carport dengan desain hibrida merupakan solusi efektif, ekonomis, dan aplikatif untuk pengembangan energi terbarukan pada infrastruktur pembangkit di Indonesia, sekaligus memberikan potensi implementasi lebih luas pada fasilitas industri lain yang membutuhkan efisiensi energi berkelanjutan.
Penerapan Machine Learning pada Aplikasi Kesehatan HEALTIME Muhammad Mirafuddin; Supriyatna Supriyatna
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 7, No 6 (2024): Desember 2024
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v7i6.8233

Abstract

Abstrak - Studi ini mengeksplorasi potensi teknologi kesehatan digital sebagai alat untuk mendiagnosis penyakit menggunakan algoritma pembelajaran mesin. Dengan menganalisis pola data medis, sistem ini bertujuan untuk membantu profesional perawatan kesehatan dan individu dalam memprediksi penyakit berdasarkan pola yang diidentifikasi. Metodologi ini melibatkan data pelatihan dengan model yang dikompilasi khusus, menggabungkan pengoptimal, fungsi kerugian, dan metrik akurasi untuk meningkatkan kinerja. Hasilnya menunjukkan bahwa model tersebut mencapai akurasi yang terpuji, memperkuat efektivitas pembelajaran mesin dalam proses pengambilan keputusan untuk diagnosis medis. Penelitian ini menggarisbawahi semakin berkembangnya peran kecerdasan buatan dalam perawatan kesehatan, membuka jalan bagi solusi yang lebih efisien dan berbasis data untuk identifikasi penyakit dan perencanaan perawatan.Kata kunci: Pembelajaran Mesin, Analisis Data, Model Pelatihan, Pengambilan KeputusanAbstract  - This study explores the potential of digital health technology as a tool for diagnosing diseases using machine learning algorithms. By analyzing medical data patterns, the system aims to assist healthcare professionals and individuals in predicting diseases based on the identified patterns. The methodology involves training data with a custom-compiled model, incorporating optimizers, loss functions, and accuracy metrics to enhance performance. The results demonstrate that the model achieves commendable accuracy, reinforcing the effectiveness of machine learning in decision-making processes for medical diagnoses. This research underscores the growing role of artificial intelligence in healthcare, paving the way for more efficient, data-driven solutions for disease identification and treatment planning.Keywords: Machine Learning, Data Analysis, Training Model, Decision Making
Pengembangan Latihan Imagery Dan Self-Talk Untuk Meningkatkan Kemampuan Shooting Game Atlet Nusantara Petanque Club Wahyu Perdana, Sinar; Rahayuni, Kurniati; Taufik, Taufik; Supriyatna, Supriyatna
Jurnal SPORTIF : Jurnal Penelitian Pembelajaran Vol 8 No 3 (2022): Edisi khusus yang didedikasikan untuk Konferensi Internasional tentang Ilmu Olahr
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/js_unpgri.v8i3.18810

Abstract

This study aimed to develop imagery exercises to improve the shooting game skills of Nusantara Petanque Club athletes. This research and development use the Research and Development method with the modified ADDIE model. (1) needs analysis, (2) product design, and (3) expert validation tests carried out by three validators, namely psychologists, petanque coaching experts, and petanque trainer experts. A needs analysis was conducted through direct interviews with Nusantara Petanque Club trainers. From the needs analysis results, three mental exercise products are packaged in an audio podcast, including imagery relaxation, self-talk, and anxiety. After the product has been made, an expert validation test is carried out by three validators, namely (1) a psychologist, (2) a petanque coaching expert (3) a petanque trainer expert. The validation results for relaxation imagery podcast audio get 85.71%, self-talk audio podcast at 85.71%, and anxiety podcast audio get 85.71%. Then, we tested the product in groups of 5 athletes who were randomly selected based on ability. In the group test, the results for relaxation, self-talk, and anxiety podcasts were 92.13%. Based on the small group test, the audio podcast product is declared feasible and can be used.
Implementation of STEM-Based Learning through Greenhouse Effect Experiments to Improve Students' Understanding of the Global Warming Concept Nidiasari, Yannika; Fenetiruma, Yufita; Mamary, Natalia Steni; Matonda, Kristin Seru; Mangkasa, Nia; Yenusi, Angganeta; Malat, Delila; Supriyatna, Supriyatna; Yekwam, Emma; Wandosa, Dorsila; Prasetyo, Dwi Heri; Kumbara, Aji
Equator Science Journal Vol. 4 No. 1 (2026): Equator Science Journal (ESJ)
Publisher : CV. Dharma Samakta Edukhatulistiwa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61142/esj.v4i1.330

Abstract

Global warming is an important global environmental issue for students to understand since junior high school (SMP) level. However, students' conceptual understanding of this material is still relatively low because it is abstract and often presented theoretically. This study aims to determine the improvement in junior high school students' understanding of the concept of global warming through the implementation of STEM-based learning using greenhouse effect experiments. This study used a quantitative approach with a quasi-experimental design of one-group pretest–posttest type. The subjects were 11 eighth-grade junior high school students. The research instruments were conceptual understanding tests given before (pretest) and after (posttest) the treatment, as well as observation sheets for the implementation of learning. Data were analyzed using descriptive statistics and N-Gain calculations. The results showed that the average posttest score (62.73) was higher than the average pretest score (54.55). However, the N-Gain calculation result of 0.18 is in the low category. This finding indicates that the implementation of STEM-based learning through the greenhouse effect experiment can improve students' understanding of the concept of global warming, although the improvement obtained is still relatively low. Therefore, STEM-based learning needs to be implemented sustainably and combined with other learning media to increase the effectiveness of students' conceptual understanding.
Co-Authors A. Natsir A. Natsir Abdul Natsir Abdul, Natsir Adha, Farhan Agung Budi Muljono Ahmad Satriadi Ani Umkabu, Siti Ashari, Firmansyah Bagus Widhi Dharma S Bulkis Kanata Dwi Budi Santoso Dwi Ratnasari Dwinanto Romdhani Eduarsa, Made Octa Efendi, Fajar elan criyanto Febrian Andi Hidayat Fenetiruma, Yufita Harjian, Muhammad Rivaldi Helmy Amalia Ariesta I Ketut Wiryajati I Made Budi Suksmadana I Made Ginarsa I Made Ginarsa I Nyoman Wahyu Satiawan I. A. S. Adnyani I.B. Fery Citarsa Ida Ayu Sri Adnyani Ida Ayu Sri, Adnyani Ida Bagus Fery Citarsa Iswan Dunggio Jaharudin, Jaharudin Jazimatul Husna Juramang, Risnayanti Jurnal Pepadu Karni, Wais Al Kumbara, Aji Kurniati Rahayuni L. A. S. Adnyani Made Sutha Yadnya Malat, Delila Mamary, Natalia Steni Mangkasa, Nia Matonda, Kristin Seru Muhammad Mirafuddin Muhammad Yusron Nababan, Sabar Natrsir, Abdul Natsir, Abdul Ni Made Seniari Ni Made Seniari Ni Made Seniari Ni Made Seniari Ni Made Seniari Ni Made, Seniari Nidiasari, Yannika Nratha, I Made Ari Nurinaya Nurinaya, Nurinaya Paniran Paniran Prasetyo, Dwi Heri Pratiwi, Wieny Amalia Putra, Nanang Andhika Putra, R. Reski Eka Raharja, Endra Putra Ramadany, Lisa Dewi Ratu, Dian Susila Ronetha Burdam, Yakomina Rosmaliati, Rosmaliati S. Nababan S. Nababan Sabar Nababan Sabar Nababan Nababan Sabar, Nababan Seniari, Ni Made Siti Amalia Gobel SM, Farid Suega, Salsabila Suksmadana, I Made Budi Supriono Supriono Sutomo, Edi Taufik Taufik Teti Zubaidah Triono, Mukhlas Wahyu Perdana, Sinar Wandosa, Dorsila Warindi D Yekwam, Emma Yenusi, Angganeta Yuli Rohmiyati