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All Journal JURNAL NASIONAL TEKNIK ELEKTRO Electro Luceat Prosiding Seminar Nasional Teknoka Spektra: Jurnal Fisika dan Aplikasinya Kilat TESLA: Jurnal Teknik Elektro JPPM (Jurnal Pengabdian dan Pemberdayaan Masyarakat) JURNAL TEKNIK JMECS (Journal of Measurements, Electronics, Communications, and Systems) Al-Kharaj: Journal of Islamic Economic and Business Jurnal Teknik Elektro dan Komputasi (ELKOM) Jurnal Pengabdian Masyarakat IPTEKS Jurnal Sosial dan Teknologi JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Jurnal Pendidikan Sains dan Komputer Electrician : Jurnal Rekayasa dan Teknologi Elektro Equivalent: Jurnal Ilmiah Sosial Teknik Jurnal Rekayasa elektrika International Journal of Sustainability in Research (IJSR) Journal of Global Engineering Research & Science (J-GERS) Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Journal of Blockchain, Nfts and Metaverse Technology
Sinka Wilyanti
Department Of Electrical Engineering, Jakarta Global University
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Other

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Design of Company Management Dashboard With Machine Learning Analysis For Optimization of Arcade Game Centre Operations Dedy Andriyanto; Antonius Darma Setiawan; Sinka Wilyanti
Al-Kharaj: Journal of Islamic Economic and Business Vol. 7 No. 3 (2025): : All articles in this issue include authors from 3 countries of origin (Indone
Publisher : LP2M IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/kharaj.v7i3.7942

Abstract

The growth of the digital entertainment industry, especially arcade game centers, demands an effective and data-driven management system to improve operational efficiency and customer experience. This study aims to design a company management dashboard integrated with machine learning analysis to optimize arcade game center operations. This dashboard is designed to provide real-time data visualization and support strategic decision-making through predictive analysis of machine performance, usage trends, and customer behavior. The research methods used include collecting primary and secondary data from the arcade game center transaction system, designing the system using a waterfall approach, and implementing machine learning algorithms such as K-Means for customer segmentation and Random Forest for machine failure prediction. The results of the study show that the developed dashboard is able to provide relevant and accurate information efficiently, and supports data-driven decision-making. With this system, the company can minimize machine downtime, increase customer satisfaction, and design more targeted promotional strategies. This study proves that the integration between management dashboards and machine learning technology can be an innovative solution for operational optimization in the arcade game center industry. Further implementation is recommended for the development of financial analysis features and integration with customer loyalty systems.
Analysis of Information Technology Maturity Level For Academic Services Using Cobit 2019 Framework: Case Study of Global University Jakarta Ary Wibowo; Antonius Darma Setiawan; Sinka Wilyanti
Al-Kharaj: Journal of Islamic Economic and Business Vol. 7 No. 3 (2025): : All articles in this issue include authors from 3 countries of origin (Indone
Publisher : LP2M IAIN Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/kharaj.v7i3.7999

Abstract

The use of information technology (IT) in managing academic services at universities is a strategic step to improve service efficiency and quality. Universitas Global Jakarta has implemented an academic information system, but still encounters obstacles in terms of information accuracy and control, indicating the need for an evaluation of the implemented IT governance. This study aims to assess the maturity level of IT governance in Universitas Global Jakarta's academic services using the COBIT 2019 framework, specifically the Delivery, Service, and Support (DSS) domain. The research method used is a qualitative descriptive approach with data collection techniques in the form of observation, interviews, and documentation studies. The results show that several processes in the DSS domain have not reached an optimal level of maturity, especially in the aspects of operational supervision and control. This finding indicates the need for improvements in the implementation of IT governance to be more aligned with the university's strategic objectives and able to support academic services sustainably.
Alat deteksi kebakaran dan kebocoran gas dengan notifikasi Telegram menggunakan mikrokontroler ESP32 Rahmat Hidayat; Sinka Wilyanti; Legenda Prameswo; Arisa Olivia Putri; Hamzah Hamzah; Brainvendra Widi Dionova
JITEL (Jurnal Ilmiah Telekomunikasi, Elektronika, dan Listrik Tenaga) Vol. 6 No. 2: July 2026
Publisher : Jurusan Teknik Elektro, Politeknik Negeri Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35313/jitel.v6.i2.2026.101-112

Abstract

Keamanan dapur rumah tangga merupakan aspek krusial mengingat tingginya risiko kebakaran dan kebocoran gas LPG yang dapat menimbulkan kerugian material maupun membahayakan keselamatan penghuni. Penelitian ini mengembangkan sistem deteksi dan mitigasi dini kebakaran serta kebocoran gas berbasis mikrokontroler ESP32 yang terintegrasi dengan teknologi Internet of Things (IoT) melalui konektivitas Wi-Fi. Untuk meningkatkan keandalan deteksi dan meminimalkan false alarm, diterapkan pendekatan validasi multi-sensor. Sistem mengintegrasikan sensor MQ-2 untuk mendeteksi gas/asap mudah terbakar, sensor KY-026 untuk mendeteksi nyala api, serta sensor DHT11 untuk memantau suhu lingkungan. Mekanisme aktivasi menggunakan logika ambang batas ganda yang ditentukan melalui proses kalibrasi eksperimental guna meningkatkan akurasi pengambilan keputusan. Pengujian dilakukan pada 10 skenario dinamis kondisi dapur dengan 50 kali transmisi notifikasi melalui Telegram. Hasil pengujian menunjukkan tingkat akurasi deteksi sebesar 100. Analisis Quality of Service (QoS) menghasilkan rata-rata delay 191,83 ms, jitter 195,65 ms, throughput 4,24 Kbps, serta packet loss 0%. Meskipun nilai jitter mendekati batas rekomendasi ITU-T untuk layanan real-time, sistem tetap layak digunakan pada aplikasi notifikasi berbasis peristiwa. Kontribusi utama penelitian ini terletak pada penerapan mekanisme decision fusion multi-parameter yang terintegrasi dengan aktuator pompa air otomatis serta evaluasi kinerja jaringan secara kuantitatif untuk meningkatkan keamanan dapur rumah tangga.
PEMANTAUAN TERMAL BERBASIS IOT UNTUK PERINGATAN DINI HOTSPOT PADA KUBIKEL TEGANGAN MENENGAH (20 KV) Mishbahul Azhar; Sinka Wilyanti; Arisa Olivia Putri
Electro Luceat Vol 11 No 2 (2025): Vol. 11 No. 2 (2025) : Electro Luceat (JEC) November - 2025
Publisher : LPPM Poltek ST Paul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32531/mpdzr473

Abstract

Pembentukan hotspot pada kubikel tegangan menengah 20 kV merupakan salah satu faktor yang dapat menurunkan keandalan dan keselamatan operasi gardu induk, terutama pada kubikel tipe tertutup (close-type) yang tidak memungkinkan akses langsung untuk inspeksi suhu. Metode inspeksi termovisi yang digunakan dalam pemeliharaan rutin PLN bersifat periodik dan manual, sehingga tidak mampu menyediakan pemantauan suhu secara kontinu. Penelitian ini mengusulkan desain dan implementasi sistem peringatan dini berbasis ESP32 untuk mendeteksi potensi hotspot di dalam kubikel 20 kV dengan mengintegrasikan sensor suhu BME280 dan sensor arus SCT013. Sistem ini melakukan pembacaan suhu dan arus secara simultan, mengirimkan data melalui koneksi Wi-Fi ke aplikasi Android menggunakan Firebase, serta memberikan peringatan melalui alarm buzzer dan notifikasi visual saat terdeteksi kondisi termal abnormal. Pengujian dilakukan di Gardu Induk Jatirangon dengan kondisi terkontrol. Hasil menunjukkan bahwa pengukuran suhu pada jarak 30 cm memiliki rata-rata kesalahan relatif sebesar 2,49% bila dibandingkan dengan kamera termografi FLIR, sedangkan pada jarak 35 cm kesalahan meningkat menjadi 7,29%, menegaskan pentingnya posisi sensor dalam memperoleh akurasi optimal. Pengukuran arus dengan sensor SCT013 menunjukkan kesalahan rata-rata sebesar 2,83% terhadap clamp meter, yang masih dapat diterima untuk validasi awal anomali termal. Sistem berhasil memicu alarm ketika suhu mencapai ?38°C dan selisih suhu dengan ambient (?T) berada pada nilai ?4°C dengan arus melebihi 400 A. Hasil penelitian ini membuktikan bahwa sistem berbasis IoT yang dikembangkan mampu mendeteksi anomali termal secara dini pada kubikel tertutup yang tidak dapat dijangkau oleh metode termovisi konvensional, sehingga menawarkan solusi alternatif yang ekonomis dan real-time untuk mendukung pemeliharaan preventif gardu induk.
Implementasi WSN untuk Peringatan Dini Kebakaran Hutan Berbasis LoRaWAN dan Notifikasi Telegram legenda pratama; Dendy Prasetyo; Sinka Wilyanti; Legenda Prameswono Pratama; Devan Junesco Vresdian; Brainvendra Widi Dionova; Hamzah Hamzah
Electrician : Jurnal Rekayasa dan Teknologi Elektro Vol. 19 No. 3 (2025)
Publisher : Department of Electrical Engineering, Faculty of Engineering, Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/elc.v19n3.2913

Abstract

Kebakaran hutan menjadi ancaman serius di Kabupaten Tegal. Penelitian ini mengembangkan sistem peringatan dini menggunakan Wireless Sensor Network (WSN) yang terintegrasi dengan LoRaWAN dan notifikasi real-time via Telegram. Sistem memakai sensor DHT22 dan MQ-2 yang dikalibrasi untuk mengukur suhu, kelembapan, dan gas. Jika ambang suhu 40°C atau gas 300 ppm terlampaui, buzzer aktif dan notifikasi dikirim. Pengujian menunjukkan sistem stabil dengan delay 397–484 ms, throughput 1,64–3,38 kbps, dan tanpa packet loss. Sistem ini efektif mendeteksi kebakaran lebih awal dan mempercepat respons petugas di lapangan.
Performance Analysis of Nyamplung Oil (Calophyllum Inophyl-lum) as an Alternative Liquid Electrical Insulation Material to Replace For Power Transformer Oil Lukman Lukman; Yanuar Zulardiansyah Arief; Adhes Gamayel; Sinka Wilyanti
Equivalent: Jurnal Ilmiah Sosial Teknik Vol. 5 No. 1 (2023): Equivalent: Jurnal Ilmiah Sosial Teknik
Publisher : Politeknik Siber Cerdika Internasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59261/jequi.v5i1.139

Abstract

In the operation of electric power distribution, the transformer can be said to be the heart of the transmission and distribution of electric power. In recent years the use of vegetable oil is increasing. The purpose of this study was to test and analyze a mixture of transformer oil and nyamplung oil (Calophyllum Inophyllum) as transformer insulation and also to obtain the best composition of nyamplung oil which can be used as an alternative to transformer oil. This research method tested the parameters of nyamplung oil and a mixture of nyamplung oil and mineral oil (Shell Diala S4), such as; viscosity, flash point, density, pour point, acidity, moisture content and breakdown voltage. The sample test results are then compared with standard mineral oil according to IEC 60296-2003. From the analysis conducted, it was found that TRNY10 oil mixture (10% transformer oil and 90% mineral oil) has the best potential as power transformer oil.
Analysis of Transformer Oil Degradation Using Dissolved Gas Analysis and Fuzzy-Based Diagnostic Assessment Taufik Husnaedi; Sinka Wilyanti; Arisa Putri
JMECS (Journal of Measurements, Electronics, Communications, and Systems) In Press Papers
Publisher : Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jmecs.v13i1.10256

Abstract

This study aims to evaluate transformer insulating oil degradation and post-purification recovery by integrating conventional Dissolved Gas Analysis (DGA) interpretation methods with a fuzzy-logic-based diagnostic framework. The research was conducted as an in-depth case study on Transformer 1 at the Cipinang Gas Insulated Substation (GIS), where repeated DGA measurements indicated progressive thermal stress prior to maintenance intervention. Oil samples were collected at multiple observation points before and after purification and analyzed using established DGA techniques, including Total Dissolved Combustible Gas (TDCG), Roger’s Ratio, Doernenburg Ratio, and the Key Gas Method. These outputs were then incorporated into a fuzzy inference system (FIS) developed in MATLAB to generate a unified oil-condition index. The results show that before purification, elevated concentrations of C₂H₄, C₂H₆, CO, and increasing TDCG values consistently indicated incipient thermal faults. After purification, combustible gas levels and TDCG values declined significantly, shifting the transformer condition to a normal operating state. While conventional ratio-based methods occasionally produced borderline or ambiguous classifications, the fuzzy-logic framework successfully consolidated multiple diagnostic outputs into a single, consistent condition assessment. The study demonstrates that integrating DGA with fuzzy inference enhances diagnostic clarity, improves post-purification evaluation, and supports more reliable transformer maintenance decision-making.
Analysis of Distributed File System Replication Using the NDLC Method with Hyper-V Virtual Simulation Machine Ucu Sumirat; Antonius Setiawan; Sinka Wilyanti; Rosyid Al-Hakim
SaNa: Journal of Blockchain, NFTs and Metaverse Technology Vol. 1 No. 1 (2023): August 2023
Publisher : CV. Media Digital Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58905/sana.v1i1.59

Abstract

The need to access file sharing easily on an organization's computer network was increased. Users didn't have to worry about the number of file server addresses that can be accessed and are made with only one access address to use file sharing. The availability of data on the network to file storage availability in an organization was also essential. Data would be permanently lost, following a reason including hardware failure, or even accidentally deleted. It was important to ensure that there was a copy of the data. Achieving good data availability requires a system strategy built in the organization's data center. This research used Distributed File System Replication (DFSR) based on active directory domain services with Windows Server. The research method used NDLC (Network Diagram Life Cycle) method. This research was conducted through analysis with the Hyper-V virtual simulation machine. The results of the research with this simulation are that the Distributed File System (DFS) makes it easy for users to access file shares on several file server nodes using only one URL address. DFSR makes it easy for users to clone files automatically on multiple nodes file servers at other locations. DFSR, with its Share and Publish features, provide good data availability. If one of the file server nodes experiences an interruption, the file server nodes at another location would be taken over to provide the data. This system makes it easy for administrators to manage file servers
Evaluasi Eksperimental Navigasi Slam dan Line Follower pada Automated Guided Vehicle untuk Meningkatkan Fleksibilitas Operasional Industri Rio Handoko; Ariep Jaenul; Brainvendra Widi Dionova; Sinka Wilyanti; Arisa Olivia Putri; Devan Junesco V
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 4 No. 5 (2026): September : Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Inf
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v4i5.1588

Abstract

Automated Guided Vehicles (AGVs) using line-follower navigation perform effectively on fixed routes, but their flexibility is limited when routes change or obstacles block the path. This study experimentally evaluated the performance of Simultaneous Localization and Mapping (SLAM) and line-follower navigation and examined the contribution of SLAM to AGV operational flexibility. Both navigation systems were tested on the same AGV platform under four scenarios: speed variation, obstacles, payload variation, and route reconfiguration. The evaluated parameters included endpoint position error, travel time, task completion, and route reconfiguration time. User perceptions were also evaluated involving 16 personnel with experience in AGV operation or observation. The results showed that the line follower was faster and more accurate under static conditions. At speeds of 0.188 and 0.377 m/s, its mean position errors were 1.06 and 2.25 cm, respectively, compared with 8.42 and 8.49 cm for SLAM. In contrast, SLAM completed all scenarios involving 1–10 obstacles, whereas the line follower failed to complete the task when its physical path was blocked. The strongest advantage of SLAM was observed in route reconfiguration, requiring an average of 35 s compared with 286 s for the line follower, representing an 87.8% reduction. User evaluation yielded a composite score of 4.44 out of 5 with a Cronbach’s alpha of 0.863. These findings indicate a clear trade-off between navigation efficiency and operational flexibility. Line-follower navigation remains advantageous for fixed and repetitive routes, whereas SLAM provides greater value in industrial environments requiring frequent route changes and adaptive obstacle handling.
Co-Authors Ade Sunardi Ade Sunardi Adhes Gamayel Adi Wibowo Agung Pangestu Agung Pangestu Agung Pangestu Agung Pangestu Antonius Setiawan Ariep Jaenul Arisa Olivia Putri Arisa Olivia Putri Arisa Putri Ary Wibowo Brainvendra Widi Dionova Cahyo Wibisono Suryo Jati Dedy Andriyanto Dendy Prasetyo Devan Junesco V Devan Junesco Vresdian Drama Wicaksono Endang Mulyana Faradisa Wisnu Dewati Feri Nugroho Hamzah Hamzah Ikmal Ikmal Karseno Karseno Legenda Prameswo Legenda Prameswono Pratama legenda pratama Lukman Lukman M. N. Mohammed Manfaluhty, Mauludi Manfaluthy, Mauludi Mauludi Manfaluhty Mishbahul Azhar Muhammad Akbar Hadibrata Rahmat Hidayat Rian Dwi Saputro Rifki Arif Rio Handoko Rosyid Al-Hakim Rosyid R. Al-Hakim Rosyid Ridlo Al-Hakim Setiawan, Antonius Darma Sinta Restuasih Sriyadi Sriyadi Sriyadi Sriyadi Syukur Siregar, M.M., M.T Taopik Hidayat Taufik Husnaedi Ucu Sumirat Wahyu Gamma Gene Yanuar Z. Arief Yanuar Zulardiansyah Arief Yanuar Zulardiansyah Arief Yunan Lasito