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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Robotics and Automation (IJRA) TELKOMNIKA (Telecommunication Computing Electronics and Control) Sinergi Jurnal Teknologi Elektro ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika InComTech: Jurnal Telekomunikasi dan Komputer Techne : Jurnal Ilmiah Elektroteknika MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Petir TESLA: Jurnal Teknik Elektro Minda Baharu TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol CCIT (Creative Communication and Innovative Technology) Journal Jurnal Abdi Masyarakat (JAM) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Abdimas ADPI Sains dan Teknologi Jurnal Profesi Insinyur Universitas Lampung Journal of Integrated and Advanced Engineering (JIAE) Formosa Journal of Science and Technology (FJST) Internet of Things and Artificial Intelligence Journal International Journal of Engineering Continuity Jurnal INFOTEL Metrik Serial Humaniora dan Sains SNTE Journal of Innovation and Community Engagement
Setiyo Budiyanto
Universitas Mercu Buana
Arts Humanities Astronomy Automotive Engineering 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 Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Social Sciences Other

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Optimasi Disaster Recovery Planning (DRP) pada Site Recovery Manager (SRM) Menggunakan Algoritma Genetika Yoga Putra Setiawan; Budiyanto, Setiyo
Techné : Jurnal Ilmiah Elektroteknika Vol. 24 No. 1 (2025)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31358/techne.v24i1.580

Abstract

Bencana IT yang tak terduga dapat mengganggu operasional bisnis, terutama jika tidak ada kesiapan yang memadai. Dampaknya mencakup kehilangan data dan informasi penting yang berpengaruh pada kontinuitas operasional. Salah satu langkah strategis dalam menghadapi gangguan ini adalah dengan menganalisis potensi bencana serta merancang Disaster Recovery Planning (DRP). Tantangan utama dalam DRP adalah menentukan prioritas pemulihan mesin virtual secara efisien dan mengelola Recovery Point Objective (RPO) secara optimal, mengingat keterbatasan waktu dalam proses pemulihan. Penelitian ini mengusulkan metode optimasi DRP berbasis algoritma genetika yang diterapkan pada VMware Site Recovery Manager (SRM). Algoritma genetika digunakan untuk menentukan prioritas pemulihan VM berdasarkan SLA dengan tahapan pembentukan kromosom, inisialisasi populasi, evaluasi fitness, seleksi, crossover, dan mutasi guna memperoleh solusi optimal. Evaluasi fitness mempertimbangkan pengurangan downtime dan minimisasi gangguan operasional. Hasil penelitian menunjukkan algoritma genetika mampu mengurangi downtime IT secara signifikan, dengan peningkatan efisiensi pemulihan hingga 50%. Model ini terbukti efektif dalam mengoptimalkan SRM dan dapat menjadi referensi bagi strategi pemulihan bencana IT di masa depan.
Design of a conductive material detection system Silaban, Freddy Artadima; Budiyanto, Setiyo; Silalahi, Lukman Medriavin
IAES International Journal of Robotics and Automation (IJRA) Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v9i4.pp292-299

Abstract

The development of technology and industry development in the 4.0 era is very fast along with these developments in the control of production results such as medicine, food, and safety must be faster and more accurate. To face free trade and global economic competition, every company is required to produce products that have good quality by the standards. By using an experimental method which is the development of this study aims to make a conductive material detector (metal detector) for the pharmaceutical industry, the food industry, and security as compared to using conductive material sensors that are integrated with the Arduino microcontroller. Application testing is carried out to find out whether the Blynk application on an android smartphone with Blynk on a Debian server that has been made previously runs well or not and the alarm system testing uses a buzzer and LED to detect conductive material passing through. Conductive sensor test results showed that the instrument can detect 6 conductivity materials such as stainless steel, aluminum, steel, zinc, copper, and tin. The average response time to detect conductive material is 3 seconds, the average ADC value of the conductive material is 0.55. The test results also successfully send information and data to the Blynk application so that it can be monitored online.
Implementasi Etika Profesi Pelaksanaan Pemetaan Cerdas Lokasi Industri Rumahan Berbasis WEB-SIG di Dinas P3ACSKB Provinsi Kepulauan Bangka Belitung Santoso, Hadi; Rochmad, Imbuh; Budiyanto, Setiyo
Jurnal Profesi Insinyur Universitas Lampung Vol. 6 No. 1 (2025)
Publisher : Fakultas Teknik Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jpi.v6n1.149

Abstract

Pemerintah Daerah Provinsi Kepulauan Bangka Belitung menghadapi kendala dalam mengklasifikasikan data industri rumahan berdasarkan Peraturan Menteri PPPA No. 2 Tahun 2016. Untuk mengatasi hal tersebut, diusulkan penerapan algoritma K-means guna mengelompokkan data industri rumahan secara lebih optimal. Proses ini diimplementasikan melalui aplikasi cerdas berbasis web dengan pendekatan Cross-Industry Standard Process for Data Mining (CRISP-DM), yang meliputi enam tahapan: pemahaman bisnis, pemahaman data, persiapan data, pemodelan, evaluasi, dan penerapan. Sebanyak 4560 rumah tangga dijadikan sampel dalam kegiatan ini. Evaluasi kinerja algoritma menggunakan Davies Bouldin Index (DBI) menunjukkan hasil optimal pada iterasi kelima, menghasilkan tiga klaster: pemula (C1) sebanyak 4308, berkembang (C2) sebanyak 167, dan maju (C3) sebanyak 85. Nilai DBI sebesar 0,184 mengindikasikan validitas klaster yang baik. Implementasi algoritma ini dalam sistem informasi geografis berbasis web di Dinas P3ACSKB juga memperhatikan prinsip etika profesi, termasuk tanggung jawab, transparansi, dan akurasi data, sebagai dasar pemanfaatan teknologi informasi secara profesional dan berkelanjutan untuk mendukung pengembangan ekonomi lokal.
Strategi Optimasi Antrian SPKLU dengan Algoritma Genetika untuk Mengurangi Waktu Tunggu dan Ketidakseimbangan Slot Saragih, Yuliarman; Resi Sujiwo Bijokangko; Setiyo Budiyanto; Saragih, Carolan Ignatius
Seminar Nasional Teknik Elektro Vol. 4 No. 1 (2025): SNTE III
Publisher : Forum Pendidikan Tinggi Teknik Elektro Indonesia Pusat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46962/snte.25.067

Abstract

Pertumbuhan penggunaan kendaraan listrik (EV) memicu kebutuhan akan sistem manajemen Stasiun Pengisian Kendaraan Listrik Umum (SPKLU) yang efisien, khususnya dalam mengoptimalkan penjadwalan pengisian dan pemerataan beban antar stasiun. Penelitian ini mengusulkan penerapan Genetic Algorithm (GA) untuk mengoptimalkan penugasan EV ke SPKLU dengan mempertimbangkan jarak, perkiraan waktu tiba (Estimated Time of Arrival), kapasitas slot, dan durasi pengisian. Metode ini dibandingkan dengan pendekatan konvensional tanpa AI yang hanya mengandalkan jarak terdekat. Dataset yang digunakan bersifat sintetis, mencakup 30 EV dan 6 SPKLU dengan kapasitas slot bervariasi (5–7 slot). Simulasi dijalankan menggunakan pestimasi waktu ketibaan OpenRouteService untuk perhitungan jarak dan waktu tempuh aktual. Hasil menunjukkan bahwa GA mampu menurunkan rata-rata waktu tunggu EV sebesar 64,4% (dari 11,8 menit menjadi 4,2 menit), mempercepat total waktu penyelesaian dari 410 menit menjadi 320 menit, serta mengurangi variansi utilisasi slot antar SPKLU sebesar 67,86%. Temuan ini membuktikan bahwa GA tidak hanya meningkatkan efisiensi operasional, testimasi waktu ketibaanpi juga memeratakan beban infrastruktur pengisian. Penelitian ini memberikan kontribusi terhadap pengembangan strategi optimasi SPKLU berbasis AI dan membuka peluang untuk penerapan realtime dengan integrasi data lalu lintas dinamis.
Development of an IoT-Based Prototype for Optimizing Hazardous Materials and Equipment Storage to Enhance HSE in Laboratories Silviana Windasari; Abdurohman Abdurohman; Imbuh Rochmad; Setiyo Budiyanto
International Journal of Engineering Continuity Vol. 4 No. 1 (2025): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v4i1.414

Abstract

Laboratory incidents are often precipitated by misplacement of hazardous materials and delayed recognition of unsafe conditions. Earlier laboratory safety solutions typically centered on sensors and dashboards, including IoT monitoring, improve situational awareness but remain largely reactive, operate at room/building scale, seldom enforce item-level storage rules, and rarely report alert selectivity (false-alarm behaviour). This work presents a compact prototype that combines RFID-based storage-zone verification with environmental sensing to support Health, Safety, Security, and Environment (HSSE) compliance at the storage-unit level. An ESP32-based controller integrates three RFID readers (low/medium/high-risk compartments) with temperature humidity and gas sensors; data are streamed to an IoT interface for real-time visualization and notification (e.g., implemented via Blynk), while rule-based logic triggers local (buzzer) and remote alerts when a tagged item is placed in the wrong zone or thresholds are exceeded. A scenario-driven evaluation across 18 cases (correct/mismatched placements for representative items) yielded 100% RFID tag detection and placement validation, an average response time of 2.37 s, and no false alarms under correct placements. These results indicate that joining placement verification with multi-sensor monitoring provides selective, low-latency warnings while avoiding nuisance alerts, establishing quantitative baselines for scalable smart-laboratory HSSE enforcement.
Topic Modeling Analysis of Indonesia Food-Security News: Methods,Interpretations, and Trend Insights Afiyati, Afiyati; Rochmad, Imbuh; Budiyanto, Setiyo; Jokonowo, Bambang; Santoso, Hadi; Budiana, Kelik
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 2 (2026)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i2.5784

Abstract

The critical problem for food-security stakeholders in Indonesia is the lack of scalable, quantitative methods to systematically distill dominant themes and evolving trends from vast volumes of news media, which severely hinders timely policy monitoring and responsive intervention. This study aimed to develop and validate a reproducible topic modeling pipeline specifically designed to uncover the latent thematic structure and quantify the temporal dynamics within Indonesian food-security news discourse. The research method is a comprehensive natural language processing pipeline applied to a curated corpus of 770 news documents spanning 2012 to 2025. The process involved languageadaptive preprocessing of Indonesian text, n-gram (1-2) vectorization to capture nuanced phrases, and training multiple Latent Dirichlet Allocation (LDA) models. The optimal model, with K=10 topics,was rigorously selected through a perplexity-based grid search across a range of potential topic numbers. The resulting topics were then qualitatively interpreted and manually labeled into policy-relevant themes by domain experts. Subsequently, we computed monthly topic intensity series to conduct a longitudinal analysis. The results of this research are that the pipeline successfully generated semantically coherent topics that aligned perfectly with core policy pillars, including availability, access, and utilization. Furthermore, the analysis revealed significant temporal shifts, sustained intensification of price and inflation-related discussions throughout the 2022-2024 period. This study conclusively demonstrates that unsupervised topic modeling can effectively transform unstructured news streams into actionable, quantifiable intelligence, thereby significantly enhancing situational awareness and supporting evidence-based decision-making for food security stakeholders.
Computer Hardware and Software Education for Teacher's Office of Insan Mulia Early Childhood Education School Tangerang Lukman Medriavin Silalahi; Imelda Uli Vistalina Simanjuntak; Setiyo Budiyanto; Agus Dendi Rochendi
Journal of Innovation and Community Engagement Vol. 4 No. 4 (2023)
Publisher : Faculty of Smart Technology and Engineering, Universitas Kristen Maranatha, Bandung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/ice.v4i4.7313

Abstract

This community service proposed assistance from competent instructors to educate participants to get to know computer hardware and software, ranging from variations, and models, to supporting components based on the research approach method in the electrical engineering field. The training participants were ECE (Early Childhood Education) teachers of Insan Mulia PAUD School. This CS (Community Service) program aimed to educate the ECE  teachers of the school to keep up with the advancement of computer technology. Thus, the contribution of this activity was to improve the quality of skilled labor and align with industry needs. Therefore, a Computer Hardware and Software Education activity was held at the Teacher's Office of Insan Mulia Early Childhood Education School in Tangerang. The Research and Community Service of Universitas Mercu Buana participated in this activity by carrying out the ICT (Information and Communication Technology) theme in the RMP (Research Master Plan), the long-term target is the development of wireless sensors and actuators, to the integration of system implementation. In conclusion, this activity produced new skills for Insan Mulia ECE School teachers in the knowledge of computer hardware and software as well as the installation of required computer devices that have operated very well.
Internet of Things for 4.0 Industry Revolution Setiyo Budiyanto; Lukman Medriavin Silalahi
Journal of Innovation and Community Engagement Vol. 4 No. 3 (2023)
Publisher : Faculty of Smart Technology and Engineering, Universitas Kristen Maranatha, Bandung, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/ice.v4i3.7316

Abstract

In this training, participants were given an understanding of the IoT (Internet of Things) for the Industrial Revolution 4.0 and were accompanied by instructors to get to know the technology. The approach method is based on research results that have been published in electrical engineering. We CO (Collaborated Overseas) with UTHM (Universiti Tun Hussein Onn Malaysia) in the CS (Community Service) programme, with the aim of providing guest lectures on the advancement of IoT technology and IR (Industry Revolution) 4.0. Thus, the contribution to this CS activity is to support the improvement of the quality of skilled labor from partner participants to be in line with industry needs. Therefore, the leadership of the institution approved and held the IoT for 4.0 IR training. Universitas Mercu Buana through the Institute for Research and Community Service participated in the field of ICT (Information and Communication Technology) with the long-term target of developing wireless sensors and actuators, and computing methods in embedded systems and the cloud. The conclusion of this CS activity is that participants were very enthusiastic about this activity and and gained the benefits of science, as well as an understanding of telecommunications.
Co-Authors Abdul Hamid Abdurohman Abdurohman Adi Kurnia Afiyati, Afiyati Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Agus Dendi Rochendi Ahmad Firdausi Alvin Sepbrian Andi Adriansyah Apipi Saputra Aprilia Dian Oftari Arga Gilang Rolanda Arif Rahman Hakim Arissetyanto Nugroho Badaruddin Badaruddin Bambang Jokonowo Beny Nugraha Budiana, Kelik Dadang Gunawan David Martin Antoyo Dian Widi Astuti, Budi Irawan Prima Putra, Dian Widi Astuti, Dimas Jatikusumo Erman Al Hakim Erry Yulian Triblas Adesta Fahraini Bacharuddin Fajar Banardi, Deswandi Fajar R Febryyanti Nawang Wulan Fina Supegina Freddy A Silaban Freddy Artadima Silaban Galang Persada Nurani Hakim Galih Bangun Santosa Gao Hongmin Gunawan Osman Hadi Santoso Hadi Wuryanto Hanifah Diana Harry Candra Sihombing Imbuh Rochmad Imbuh Rochmad Imelda Uli Vistalina Simanjuntak Julpri Andika Kristiani N Nahampun Lukman M Silalahi Lukman Medriavin Silalahi Lusianna EP Siagian M. Hafiz Ibnu Hajar Mochamad Furqon Ismail Mudrik Alaydrus Muhammad Budi Haryono Muhammad Hafizd Ibnu Hajar Muhammad Ikhsan Muhammad Jamil Muhammad JAMIL Putri Wulandari Qotrunada, Farah Qotrunnada, Farah Mufida Rachmat Muwardi Raden Sutiadi RAHAYU, FAJAR Rahmad, Khozaeni Bin Resi Sujiwo Bijokangko Rini Kusumawardani, Rini Rio Mubarak Rochendi, Agus Dendi Said Attamimi Saragih, Carolan Ignatius Selamet Kurniawan Septi Andryana Silviana Windasari Triyanto Pangaribowo Ucuk Darusalam Wadjdi, Achmad Farid Wahyu Kusuma Raharja Wajdi , Achmad Farid Wijaksana, Wibi Wijaksana Yoga Putra Setiawan Yudhi Gunardi Yudistiro Yudistiro Yudistiro Yudistiro, Yudistiro Yuliarman Saragih