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All Journal JSI: Jurnal Sistem Informasi (E-Journal) InComTech: Jurnal Telekomunikasi dan Komputer International Journal of Remote Sensing and Earth Sciences (IJReSES) Jambura Journal of Electrical and Electronics Engineering Abdimas Galuh: Jurnal Pengabdian Kepada Masyarakat G-Tech : Jurnal Teknologi Terapan Jurnal Teknik Informatika (JUTIF) Journal of Integrated and Advanced Engineering (JIAE) The International Journal of Remote Sensing and Earth Sciences (IJReSES) TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Marza Ihsan Marzuki
Faculty Of Electrical Engineering, Telkom University, Bandung, 40257. Indonesia
Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mechanical Engineering Nursing Other

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Analisa Sistem Back-Up Daya Airfield Lighting System pada Substation T1 Bandara SAMS Sepinggan dengan ETAP 19.0.1 Tjung, Aldi Wiradinata Bukhari; Marzuki, Marza Ihsan; Yulianto, Bayu Yustina
Jambura Journal of Electrical and Electronics Engineering Vol 6, No 1 (2024): Januari-Juni 2024
Publisher : Electrical Engineering Department Faculty of Engineering State University of Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/jjeee.v6i1.22314

Abstract

Dalam menunjang keselamatan penerbangan digunakan alat bantu dalam proses lepas landas, landing, dan taxi di bandara seperti Air Traffic Controller (ATC) dan Airfield Lighting System (AFL). Alat bantu tersebut pada Bandara SAMS Sepinggan dipasok dengan kapasitas listrik sebesar 3465 KVA pada Main Power House 1 yang disuplai dari PLTU Kariangau Balikpapan. Dalam menunjang operasional, Bandara SAMS Sepinggan tidak hanya mengandalkan sumber daya listrik primer dari PLN saja, ketika sumber PLN mengalami pemadaman maka sumber daya listrik sekunder berperan yaitu genset dan Uninterruptible Power Supply (UPS) sebagai catu daya cadangan tidak terputus khususnya pada beban AFL. Suplai daya listrik sekunder pada Bandara SAMS harus dapat membangkitkan daya sebesar 94.33 KVA untuk beban AFL. Metode load flow analysis digunakan untuk Analisa sistem back-up daya menggunakan program ETAP (Electric Transient Analysis Program) dengan tiga skenario. Setiap skenario disesuaikan dengan kondisi yang dimungkinkan terjadi ketika terjadi pemadaman. Skenario paling kritis yaitu skenario menggunakan suplai dari UPS dimana genset belum siap karena satu atau lain hal. Genset dapat membangkitkan daya sebesar 84.2 KW untuk mengisi daya UPS dan melayani beban sebesar 94.33 KVA. Kondisi drop tegangan pada saat suplai dari genset ketika PLN padam dalam kondisi baik dimana 98% berdasarkan standar IEC.To support aviation safety, tools are used in the take-off, landing and taxi processes at airports such as the Air Traffic Controller (ATC) and the Airfield Lighting System (AFL). The auxiliary equipment at SAMS Sepinggan Airport is supplied with an electricity capacity of 3465 kVA at Main Power House 1 which is supplied from PLTU Kariangau Balikpapan. In supporting operations, SAMS Sepinggan Airport does not only rely on primary electricity resources from PLN, when PLN sources experience a blackout, secondary electrical resources play a role, namely generators and Uninterruptible Power Supply (UPS) as uninterruptible backup power supplies, especially for AFL loads. Research on Analysis of the Back-Up Power System for the Airfield Lighting System at Substation T1 at SAMS Sepinggan Airport with ETAP 19.0.1 aims to see a picture of the distribution system when secondary electrical resources operate when there is a blackout at the source from PLN by looking at the effects that occur on the system. The method used in this research is an experiment with a simulation approach using the ETAP (Electric Transient Analysis Program) program. In the simulation carried out, there were three scenarios. Each scenario is adapted to the conditions that may occur when a blackout occurs. The most critical scenario is the scenario using supply from UPS where the generator is not ready for one reason or another. The generator can generate 84.2 kW of power to charge the UPS and serve a load of 94.33 kVA. The voltage drop condition at the time of supply from the generator when PLN is turned off is in good condition, which is 98% based on IEC standards, namely the lowest is 98.09% or 372 V based on IEC standards.
MACHINE LEARNING-BASED MANGROVE LAND CLASSIFICATION ON WORLDVIEW-2 SATELLITE IMAGE IN NUSA LEMBONGAN ISLAND Aulia Ilham; Marza Ihsan Marzuki
International Journal of Remote Sensing and Earth Sciences Vol. 14 No. 2 (2017)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/j.ijreses.2017.v14.a2820

Abstract

Machine learning is an empirical approach for regressions, clustering and/or classifying (supervised or unsupervised) on a non-linear system. This method is mainly used to analyze a complex system for wide data observation. In remote sensing, machine learning method could be used for image data classification with software tools independence. This research aims to classify the distribution, type, and area of mangroves using Akaike Information Criterion approach for case study in Nusa Lembongan Island. This study is important because mangrove forests have an important role ecologically, economically, and socially. For example is as a green belt for protection of coastline from storm and tsunami wave. Using satellite images Worldview-2 with data resolution of 0.46 meters, this method could identify automatically land class, sea class/water, and mangroves class. Three types of mangrove have been identified namely: Rhizophora apiculata, Sonnetaria alba, and other mangrove species. The result showed that the accuracy of classification was about 68.32%.
The effect of concentrator reflector design on the energy conversion efficiency of bifacial solar cells Wahyu Rizkika; Marza Ihsan Marzuki; Soni Prayogi
TEKNOSAINS : Jurnal Sains, Teknologi dan Informatika Vol 13 No 1 (2026): TEKNOSAINS: Jurnal Sains, Teknologi dan Informatika
Publisher : LPPMPK- Universitas Muhammadiyah Cileungsi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37373/tekno.v13i1.1514

Abstract

Bifacial solar cells can absorb light from both sides, front and back, so they can take advantage of light reflection from surrounding surfaces to improve energy efficiency. The main objective of this study is to optimize the design of a reflection concentrator that can maximize the amount of light received by the back surface of the bifacial solar cell, which is often less exposed than the front surface. The methodology used includes simulations and practical experiments. Simulations were carried out to determine the optimal angle and shape of the reflection concentrator, using photovoltaic modeling software. Practical experiments involved the construction of a reflection concentrator prototype and testing its performance under varying environmental conditions. The results showed that the use of a reflection concentrator can increase the total efficiency of bifacial solar cells by up to 20% compared to a system without a concentrator. In addition, optimal design also considers factors such as the reflective material used, the tilt angle, and the geographical conditions of the solar cell installation. These performance improvements show great potential in practical applications, especially in installations in urban areas and locations with limited space where maximum utilization of each side of the solar panel is essential.
Peran Teknologi dalam Sistem Keamanan Pendidikan: Implementasi CCTV di STPS Teladan Ummat Mohamad Ramdhani; Irwan Purnama; Marza Ihsan Marzuki
Abdimas Galuh Vol 8, No 1 (2026): Maret 2026
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/ag.v8i1.22052

Abstract

Keamanan lingkungan, khususnya di lembaga pendidikan seperti sekolah atau pesantren, merupakan faktor krusial dalam menjamin keberlangsungan proses belajar mengajar yang nyaman dan aman. Penelitian dan kasus terkini menunjukkan bahwa kurangnya pengawasan kontinyu menjadi salah satu pemicu meningkatnya kasus perundungan (bullying) di lingkungan pendidikan, di mana hampir setengah dari 3800 kasus yang dilaporkan KPAI pada tahun 2023 terjadi di sekolah dan pesantren. Pengabdian masyarakat ini bertujuan untuk mengimplementasikan solusi pengawasan berbasis teknologi, yaitu pemasangan sistem Closed Circuit Television (CCTV) di Sekolah Tahfidz Plus Sains (STPS) Teladan Ummat, sebagai upaya nyata pencegahan perundungan dan peningkatan sistem keamanan. Metode pelaksanaan yang digunakan meliputi lima tahapan utama: identifikasi masalah, penyuluhan dan edukasi, pelatihan praktis, implementasi sistem CCTV, serta monitoring dan evaluasi. Implementasi melibatkan pemasangan dua unit kamera CCTV di lokasi strategis yaitu area depan sekolah dan jalan masuk, dan transfer pengetahuan operasional kepada staf mitra. Hasil kegiatan menunjukkan bahwa sistem CCTV yang terpasang telah berfungsi secara optimal, memberikan pengawasan visual real-time 24 jam yang berkelanjutan, dan meningkatkan kapasitas sumber daya manusia (SDM) mitra dalam pengoperasian dan pemeliharaan perangkat. Dengan demikian, implementasi teknologi CCTV ini berkontribusi signifikan dalam menciptakan lingkungan pesantren yang lebih aman dan terkontrol, sekaligus bertindak sebagai alat pencegahan yang efektif terhadap potensi insiden keamanan dan kasus perundungan.
Co-Authors Aulia Ilham Aulia Ilham Beny Nugraha Deny Sulisdyantoro Duta Manuarva Wahyu Saputra Hartanxia Hartanxia Hasan Bisri Inu Manggolo Irvan Aditya Nugroho Irwan Purnama Jamhari Jamhari Mohamad Ramdhani Mudrik Alaydrus Prawira, Dani Prayogi, Soni Robi Taofik Hidayat Sofyah Imammah Soni Prayogi Suryadi, Ady Tjung, Aldi Wiradinata Bukhari Wahyu Rizkika Yulianto, Bayu Yustina