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Perancangan Boost Converter Menggunakan Voltage Feedback Pada Panel Surya Enda Wista Sinuraya; Aris Triwiyatno; Bambang Winardi
urn:multiple://2988-7828multiple.v3i54
Publisher : Institute of Educational, Research, and Community Service

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Energi fosil adalah energi yang paling banyak digunakan, namun ketersediaan bahan bakar fosil semakin menipis. Energi terbarukan dapat digunakan sebagai salah satu pemenuhan energi. Panel surya adalah salah satu energi terbarukan yang bekerja dengan mengubah energi matahari menjadi energi listrik. Pemanfaatan panel surya biasanya dihubungkan langsung dengan beban tanpa konverter pada tegangan rendah. Digunakan boost converter untuk menaikkan tegangan DC. Tegangan keluaran panel surya tergantung pada iradiasi dan beban yang disuplai panel surya. Untuk menjamin tegangan keluaran panel surya konstan, diperlukan umpan balik tegangan pada konverter DC-DC. Pada Penelitian ini dirancang boost converter mengunakan umpan balik tegangan pada panel surya. Tahapan perancangan diawali menghitung komponen boost converter, verifikasi menggunakan software PSIM dan implementasi perangkat keras. Boost converter telah berhasil dibuat dan mampu menghasilkan tegangan keluaran lebih besar sebesar 21,9 – 41,8 volt. Penguatan boost converter dari duty cycle 0%-80% adalah 0,96 – 5,56. Dari pengujian menggunakan umpan balik tegangan variasi iradiasi, beban, iradiasi dari matahari, dan partial shading, tegangan keluaran konverter mampu dijaga konstan 24 volt dengan error rata-rata 0,36%, 0,35%, 0,95%, dan 0,11%. Efisiensi rata-rata boost converter tanpa umpan balik tegangan 85,37% dan dengan umpan balik tegangan 90,26%.
A Bibliometric Review of Agile Methodologies in Information Systems Development Judijanto, Loso; Triwiyatno, Aris; Winardi, Bambang
West Science Information System and Technology Vol. 3 No. 02 (2025): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v3i02.2167

Abstract

This study presents a comprehensive bibliometric review of scholarly literature on agile methodologies within the context of information systems (IS) development, covering publications from 2000 to 2025. Using the Scopus database as the primary source, a total of relevant articles, conference papers, and reviews were analyzed through performance analysis and science mapping techniques with VOSviewer. The findings reveal that information systems development, information management, and software engineering are the most central and frequently occurring themes, acting as conceptual anchors for the field. Co-occurrence analysis identifies three thematic clusters: (1) technological and infrastructure dimensions, focusing on computational tools, artificial intelligence, and decision support systems; (2) organizational and managerial aspects, encompassing knowledge management, risk management, and user participation; and (3) software engineering and design methodologies, including agile frameworks and cross-domain applications. Overlay visualization indicates a thematic shift from early technical foundations toward broader socio-technical and strategic considerations, while density mapping highlights emerging areas such as agile manufacturing systems and outsourcing. Co-authorship and country collaboration networks show strong global research connectivity, with the United States, United Kingdom, and China leading in output and collaboration influence. The study contributes to both theory and practice by providing a structured knowledge map that integrates technical, organizational, and strategic perspectives of agile IS development, offering guidance for future research and practical implementation. Limitations include reliance on a single database, keyword-based search constraints, and the quantitative nature of bibliometric methods.
The Influence of ChatGPT Integration, Team Collaboration, and Communication Patterns on Student Project Performance in Software Engineering Practicum at a Private University in West Java Soelistianto, Farida Arinie; Triwiyatno, Aris; Karnoto, Karnoto
West Science Interdisciplinary Studies Vol. 3 No. 10 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i10.2341

Abstract

This study examines the effects of ChatGPT integration, team collaboration, and communication patterns on student project performance in a Software Engineering Practicum course at a private university in West Java, Indonesia. The emergence of generative AI tools such as ChatGPT presents new opportunities for enhancing learning engagement and teamwork in higher education. Using a quantitative approach, data were collected from 150 students through a Likert-scale questionnaire, and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The findings reveal that ChatGPT integration has a significant positive impact on both team collaboration and communication patterns, which in turn strongly influence project performance. Among all variables, communication patterns emerged as the strongest predictor of success, followed by team collaboration and ChatGPT integration. Furthermore, team collaboration mediates the relationship between ChatGPT use and project performance, indicating that AI tools are most effective when embedded within social learning processes. The model demonstrated high explanatory power (R² = 0.790) and strong predictive relevance (Q² = 0.785). These results highlight that ChatGPT acts not as a replacement for human effort, but as a cognitive collaborator that strengthens teamwork and communication, ultimately enhancing learning outcomes in AI-assisted project-based education.
The Influence of ChatGPT Integration, Team Collaboration, and Communication Patterns on Student Project Performance in Software Engineering Practicum at a Private University in West Java Soelistianto, Farida Arinie; Triwiyatno, Aris; Karnoto, Karnoto
West Science Interdisciplinary Studies Vol. 3 No. 10 (2025): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v3i10.2341

Abstract

This study examines the effects of ChatGPT integration, team collaboration, and communication patterns on student project performance in a Software Engineering Practicum course at a private university in West Java, Indonesia. The emergence of generative AI tools such as ChatGPT presents new opportunities for enhancing learning engagement and teamwork in higher education. Using a quantitative approach, data were collected from 150 students through a Likert-scale questionnaire, and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The findings reveal that ChatGPT integration has a significant positive impact on both team collaboration and communication patterns, which in turn strongly influence project performance. Among all variables, communication patterns emerged as the strongest predictor of success, followed by team collaboration and ChatGPT integration. Furthermore, team collaboration mediates the relationship between ChatGPT use and project performance, indicating that AI tools are most effective when embedded within social learning processes. The model demonstrated high explanatory power (R² = 0.790) and strong predictive relevance (Q² = 0.785). These results highlight that ChatGPT acts not as a replacement for human effort, but as a cognitive collaborator that strengthens teamwork and communication, ultimately enhancing learning outcomes in AI-assisted project-based education.
Evaluation of Distribution Transformer Placement Optimal Based on Load Balance Triwiyatno, Aris; Winardi, Bambang
International Journal of Global Sustainable Research Vol. 2 No. 4 (2024): April 2024
Publisher : MultiTech Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59890/ijgsr.v2i4.1784

Abstract

The distribution system is divided into primary and secondary distribution networks. The primary distribution network is the network from the main substation transformer (GI) to the distribution substation, while the secondary is the channel network from the distribution substation transformer to the consumer or load. The primary distribution network is better known as the medium voltage network (JTM 20kV) while the secondary distribution is the low voltage network (JTR 220/380V). The distribution network is the part of the electric power system that is closest to customers or loads compared to the transmission network. Currently, network electricity conditions throughout Indonesia are experiencing a decline of 5% which is due to various factors such as the medium-scale diameter of the conductors used, so at the farthest SR the value of overvoltage is 10%, the allowable voltage drop and must anticipate an increase in electrical load of 22.7 %, the placement of the transformer is not optimal and the distance the electrical energy travels from the transformer to the load is not paid enough attention so that the capacity of a transformer is not optimal and the voltage drop is also greater. Given these conditions, re-evaluation and planning is needed that takes into account planning criteria such as allowable voltage drops and continuity of electricity services so that optimization of the network used can emerge.
Utilization of Solar Energy in Improving Energy Efficiency of Urban Households: A Bibliometric Review Soelistianto, Farida Arinie; Triwiyatno, Aris; Winardi, Bambang; Vandika, Arnes Yuli
West Science Interdisciplinary Studies Vol. 2 No. 11 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i11.1469

Abstract

The utilization of solar energy has emerged as a critical solution for improving energy efficiency and achieving sustainability in urban households. This study conducts a bibliometric review to explore the research landscape on solar energy adoption, focusing on technological advancements, socio-economic implications, environmental benefits, and policy frameworks. The analysis identifies key themes such as photovoltaic innovations, smart grid integration, and energy storage technologies, as well as the influence of government incentives and community-based projects on adoption rates. While solar energy offers significant environmental and economic benefits, challenges such as high installation costs, energy variability, and aesthetic concerns remain. The findings highlight the need for interdisciplinary approaches and emerging technologies, including artificial intelligence and decentralized systems, to overcome these barriers. This review provides valuable insights for researchers, policymakers, and stakeholders to advance solar energy utilization and contribute to sustainable urban development.
Utilization of Solar Energy in Improving Energy Efficiency of Urban Households: A Bibliometric Review Soelistianto, Farida Arinie; Triwiyatno, Aris; Winardi, Bambang; Vandika, Arnes Yuli
West Science Interdisciplinary Studies Vol. 2 No. 11 (2024): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v2i11.1469

Abstract

The utilization of solar energy has emerged as a critical solution for improving energy efficiency and achieving sustainability in urban households. This study conducts a bibliometric review to explore the research landscape on solar energy adoption, focusing on technological advancements, socio-economic implications, environmental benefits, and policy frameworks. The analysis identifies key themes such as photovoltaic innovations, smart grid integration, and energy storage technologies, as well as the influence of government incentives and community-based projects on adoption rates. While solar energy offers significant environmental and economic benefits, challenges such as high installation costs, energy variability, and aesthetic concerns remain. The findings highlight the need for interdisciplinary approaches and emerging technologies, including artificial intelligence and decentralized systems, to overcome these barriers. This review provides valuable insights for researchers, policymakers, and stakeholders to advance solar energy utilization and contribute to sustainable urban development.
The Influence of Internet of Things (IoT) on Operational Efficiency and Competitive Advantage in the Information Technology Industry in Indonesia Judijanto, Loso; Triwiyatno, Aris; Sofyan, Sofyan
The Eastasouth Journal of Information System and Computer Science Vol. 1 No. 03 (2024): The Eastasouth Journal of Information System and Computer Science (ESISCS)
Publisher : Eastasouth Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/esiscs.v1i03.240

Abstract

This study investigates the impact of Internet of Things (IoT) adoption on operational efficiency and competitive advantage within the Information Technology (IT) industry in Indonesia. A quantitative research approach was employed, utilizing a cross-sectional survey design to collect primary data from 170 IT companies operating in Indonesia. Structural Equation Modeling (SEM) with Partial Least Squares (PLS) algorithm was utilized to analyze the data and test the research hypotheses. The findings reveal that IoT adoption positively influences both operational efficiency and competitive advantage within the Indonesian IT industry. These results underscore the transformative potential of IoT technologies in enhancing organizational performance and strategic positioning in the digital era. The study contributes to the existing literature by providing empirical evidence on the benefits of IoT adoption in the context of the Indonesian IT industry, offering insights for policymakers, practitioners, and researchers seeking to harness the potential of IoT technologies for sustainable growth and innovation.
Perancangan Algoritma Optimasi Menggunakan Particle Swarm Optimization (PSO) Untuk Model Wind Turbine Farm Habiby, Jawwad Sulthon; Triwiyatno, Aris; Andromeda, Trias
AutoMech : Jurnal Teknik Mesin Vol. 1 No. 01 (2021): Nopember
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jtm.v1i01.4123

Abstract

Di Indonesia dengan tuntutan energi listrik yang terus meningkat, produksi bahan bakar yang berupa batu bara dan minyak bumi mungkin akan mencapai batasnya dalam beberapa dasawarsa, disertai peningkatan sejumlah kasus cuaca ekstrim dan pemanasan global. Oleh karena itu, perlu dicari semacam solusi terhadap pemenuhan listrik dengan pemanfaatan energi alternative terbarukan yang cukup berpotensi di Indonesia. Salah satu energi alternatif terbarukan yang saat ini adalah penggunaan teknologi turbin angin dimana energi angin yang diperoleh bebas dari alam, akan diubah sedemikian rupa hingga menjadi energi listrik. Dalam tesis ini dipelajari tentang efek dari penggunaan turbin angin dengan jarak hub yang berbeda di sebuah wilayah produksi pembangkitan listrik tenaga angin, untuk mencari jarak dan jumlah turbin terbaik yang digunakan. Disajikan sebuah formulasi matematis dalam membangun sistem multi-turbin. Mengingat turbin angin dengan jarak dan jumlah turbin yang bervariasi maka model tersebut diselesaikan menggunakan metode Algoritma Particle Swarm Optimization (PSO). Dengan hasil konfigurasi turbin yang terbaik akan diperoleh biaya yang minimum dan  pembangkitan daya yang maksimum.
Analisis Hasil Proses Integrasi Continuous Emission Monitoring System (CEMS) dengan Sistem Pemantauan Emisi Industri Kontinyu (SISPEK) Studi Kasus PT Donggi-Senoro LNG Lestari, Dwi Fitri; Triwiyatno, Aris; Widayat, Widayat
Jurnal Profesi Insinyur Indonesia Vol 3, No 3 (2025): JPII:
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpii.2025.26848

Abstract

Integrasi Continuous Emission Monitoring System (CEMS) pada Gas Turbine Compressor (GTC) ke dalam Sistem Informasi Pemantauan Emisi Kontinu (SISPEK) Kementerian Lingkungan Hidup dan Kehutanan (KLHK) menjadi langkah penting bagi PT Donggi-Senoro LNG dalam memastikan pemantauan emisi yang akurat dan kontinyu. Penelitian ini bertujuan untuk mengevaluasi proses integrasi CEMS di 3 GTC yang terpasang di fasilitas tersebut, yang bertujuan mendukung kepatuhan terhadap regulasi emisi di Indonesia. Hasil penelitian menunjukkan bahwa setelah integrasi, pemantauan emisi real-time melalui CEMS mengalami peningkatan signifikan dalam hal keandalan dan akurasi data. Kesalahan yang disebabkan oleh input manual dapat diminimalkan, sementara pengiriman data otomatis ke SISPEK memastikan perusahaan mematuhi persyaratan pelaporan pemerintah. Selain itu, sistem ini mampu mendeteksi anomali atau penyimpangan emisi lebih cepat, memungkinkan respon yang lebih cepat untuk menjaga kualitas operasi. Secara keseluruhan, integrasi CEMS ini tidak hanya berkontribusi pada peningkatan efisiensi operasional, tetapi juga mendukung upaya keberlanjutan lingkungan dan pemenuhan standar regulasi emisi yang ditetapkan oleh KLHK, yang semakin memperkuat komitmen perusahaan terhadap kelestarian lingkungan. Kata kunci: CEMS, SISPEK, Gas Turbine Compressor, emisi, PT Donggi-Senoro LNG, pemantauan lingkungan
Co-Authors . Widayat Achmad Abdul Jabbar Achmad Hidayatno Aditya Eka Mulyono Adrian Bela Widodo, Adrian Bela Afif Rohiki Makhtum Annas, Afif Rohiki Makhtum Afrino, Rendi Afrisal, Hadha Aghus Sofwan Agung Imam Rahmanto, Agung Imam Airlangga, Fatoni Gea Akbar, Muhamad Rizqi Al Vandy Reactor Muhammad Albab, Muhamad Edwin Aldo Dwi Yuniar, Aldo Dwi Alfrian Dwi Vamiko Amali, Fariz Nur Andhika Dwipradipta Andreas Surya, Andreas Andrianto, Novian Anggita P. Septiani Antonius Rajagukguk, Antonius Ari Santoso Ari Santoso Ari Santoso Arie Wibowo Arif Fadllullah Arif Widagdo Arifyanto, Aziz Nur Arigusman, Revalgi Ilham Aristya Panggi Wijaya Arnes Yuli Vandika arnoto arnoto Arsyad Arsyad ashegaf, farhan taufiqurrahman Azis, Muhammad Abdul Bagus Okto Tetuko Prasetyawan Bambang Winardi Bambang Winardi Bayu Gigih Prasetyo Bimantoro, Benediktus Bryan Budi Setiyono Budi Setiyono Budiman, Achmad Catur Ardy Bayu Pamungkas Darjat Darjat Dino Budi Prakoso, Dino Budi Ditya Satriya Nugroho Hadi Edo Herwinantyo, Edo Enda Wista Sinuraya Erwin Nashrullah Esa Apriaskar Ezufatrin Ezufatrin, Ezufatrin Fadilah, Aldi Nur Fahmi Rezza Djuliandri, Fahmi Rezza Fahreza Yusril Mahendra Fatimah Avtur Alifia Fauzan Akbar Fergy Romadhany Gunawan, Khoe Happy Habiby, Jawwad Sulthon Hafidz Aly Hidayat Hanif, Muhammad Harisuddin Helmi, Andy Saputra I Nyoman Sutantra I Nyoman Sutantra Ilham Bayu Pratama Putra IMAM SANTOSO Iwan Setiawan Iwan Setiawan Judijanto, Loso Junaedi Junaedi Karnoto Karnoto . Kartojo, Ismail Hartanto Kurniawan Kurniawan Kurniawan Nur Aryadi, Kurniawan Nur Kurniawan, Akhmad Riko Kurniawan, Yuniar Dwi Aman Laksmita, Aurelia Ketawang Tunjung Lanang Febriramadhan, Lanang Lathifah Alfat, Lathifah Lestari, Dwi Fitri Luthfi Gani Hakim M Arif Syukur D Mado, Ismit Maman Soemantri, Maman Meilia Safitri Mochammad Facta Mohammad Adhitama Mohammad Nuh Muarif Fandhi A, Muarif Fandhi Muhamad Iqbal Muhammad Aminullah, Muhammad Muhammad Danang Nuralamsyah Muhammad Fadli Nasution Muhammad Fajri Nur Reimansyah Muhammad Fathul Faris Muhammad Manshur, Muhammad Muhammad Supono Kurniawan Mulyono, Aditya Eka Munawar Agus Riyadi Naipospos, Bonaventura Naipospos, Bonaventura Ananda Daniel Nasution, Ali Napiah Novita Siti Lestari Nugroho, Wisnu Dyan Oddy Permana Putra Sinaga, Oddy Permana Oka Danil Saputra Oni Bagus Pardomuan, Andre Parsada, Hamka Putra Perdana, Atha’ Dwira Pradana, Anindita Panji Pradipta Megantara Praptiandari Raras Puspitasari, Praptiandari Raras Pratama, Syahrizal Yudha Edhi Puguh Gambiro Putra, Dhamastya Adhi Putri Ade Riswanti R Rizal Isnanto R. Rizal Isnanto R. Sapto Hendri Boedi Soesatyo Raditya Naufal Fathoni Ragil Aji Prastomo Rahardian, Sekardwita Rahmadani, Taufik Reimansyah, Muhammad Fajri Nur Reza Dwi Imami Ridla Setya Nur Armina Rio Agung Prabowo Rio Agung Prabowo Risyandi, Deri Rizky Adi Nugraha Rizqi Prayogo Pangestu, Rizqi Prayogo Rofiq Cahyo Prayogo, Rofiq Cahyo Rosdiana Fajar Mardhika, Rosdiana Fajar Saktian, Farsa Adhy Sapto Nisworo Scenda Bernados Purba Seftalia, Tania Silvano, Kennaldo Soelistianto, Farida Arinie Sofyan Sofyan Solichudin Solichudin Sonya Fitri Situmorang, Sonya Fitri Sucron Handoko Sudjadi Sudjadi Sumardi . Supriyo Supriyo Susatyo Handoko Susdarminasari Taini TATI NURHAYATI Taufiq Rachmadi Putra Tejawijaya, Dennis Trias Andromeda Trio Bowo Setiyo Vega Pradana Rachim Wahyudi Wahyudi Wicaksono, Andika Dwi Winahyu, Raden Rara Kartika Kusuma Yoga Adi Candra, Yoga Adi Yonatan Riyaneka Putra Yosua Alvin Adi Soetrisno Yulyanto Adi Prabowo Yuslam Aditya Medikantoro, Yuslam Aditya Yusuf Yusuf Zulkarnain Zulkarnain