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All Journal Journal of ICT Research and Applications JOIN (Jurnal Online Informatika) Sistemasi: Jurnal Sistem Informasi Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research SemanTIK : Teknik Informasi Syntax Literate: Jurnal Ilmiah Indonesia JURNAL EDUCATION AND DEVELOPMENT Jurnal Teknologi Sistem Informasi dan Aplikasi JSiI (Jurnal Sistem Informasi) Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JURIKOM (Jurnal Riset Komputer) Jurnal Telematika JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) TELKA - Telekomunikasi, Elektronika, Komputasi dan Kontrol Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) International Journal of Advances in Data and Information Systems Jurnal Teknik Informatika (JUTIF) Journal La Multiapp Prosiding Konferensi Nasional PKM-CSR Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal of Legal and Cultural Analytics (JLCA) Jurnal Teknologi dan Manajemen Industri Terapan Journal of Internet and Software Engineering Jurnal Indonesia Sosial Sains eProceedings of Engineering Jurnal INFOTEL The Indonesian Journal of Computer Science Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Multidisciplinary Indonesian Center Journal Advance Sustainable Science, Engineering and Technology (ASSET) INOVTEK Polbeng - Seri Informatika Proceeding of Community Service and Engagement
Sinung Suakanto
Universitas Telkom
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Neuroscience Nursing Physics Public Health Social Sciences Other

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Development of Scope 1 GHG Emission Data Acquisition System Based on IoT Platform Using MQTT and ThingSpeak in the Mining Industry Abdulaziz, Rifqi Abdulaziz; Munansyah, Ahmad; Suakanto, Sinung
eProceedings of Engineering Vol. 12 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Engineering

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Abstract

The reporting process of Greenhouse Gas (GHG) emissions in Indonesia remains largely manual, resulting in inefficiencies and inaccuracy, especially within the industrial sector. This study introduces an IoT-based integrated system to automate data acquisition, calculation, and Scope 1 emission reporting. Utilizing MQTT protocol, the system collects real-time CO₂ and CH₄ sensor data, stores it in the ThingSpeak platform, and transfers it to a Laravel database for automated reporting. An iterative-incremental model was applied for development. Functional testing and expert validation confirmed the system's ability to operate continuously and generate reports aligned with national GHG standards. Keywords—Greenhouse gas, Scope 1, Internet of Things, MQTT, ThingSpeak, automated reporting
Pengembangan Sistem Informasi Terpadu Untuk Pelaporan Emisi Gas Rumah Kaca Scope 1 Dengan Memanfaatkan Teknologi IoT Pada Bidang Pertambangan Satria , Ryan Muhammad; Musnansyah, Ahmad; Suakanto, Sinung
eProceedings of Engineering Vol. 12 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Engineering

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Abstract

Sektor pertambangan di Indonesia merupakan kontributor signifikan emisi Gas Rumah Kaca (GRK), namun sistem pelaporannya terkendala oleh proses manual yang tidak akurat, memakan waktu, dan mahal. Penelitian ini bertujuan untuk merancang sistem informasi terpadu berbasis Internet of Things (IoT) untuk mengotomatiskan pelaporan emisi Lingkup 1, serta mengukur daya guna dan akurasi dari sistem yang dikembangkan. Metode pengembangan yang digunakan adalah Iterative and Incremental melalui tiga fase, dengan tumpukan teknologi mencakup Laravel untuk dasbor, Python untuk kalkulasi emisi otomatis, dan MySQL sebagai basis data. Evaluasi sistem dilakukan melalui User Acceptance Test (UAT) dan System Usability Scale (SUS) yang melibatkan konsultan ahli. Hasilnya adalah sebuah aplikasi web fungsional yang dilengkapi dasbor pemantauan real-time, modul manajemen sensor dan sumber emisi statis, serta fitur ekspor laporan otomatis. Berdasarkan pengujian, sistem memperoleh skor SUS sebesar 92,5 yang menunjukkan tingkat daya guna yang sangat baik (excellent). Kesimpulannya, sistem yang dikembangkan berhasil menjadi solusi pelaporan yang valid dan efisien, serta terbukti dapat diterima dengan baik oleh pengguna sebagai alat bantu pemantauan yang andal. Kata kunci— sistem informasi, aplikasi, gas rumah kaca, internet of things, pelaporan
Perancangan Arsitektur Sistem Berbasis Iot Dan Object Detection Untuk Pemantauan Dan Klasifikasi Pertumbuhan Jamur Tiram (Studi Kasus Umkm Budidaya Jamur Tiram Barokah) Wijaya, Yohanes Rico; Alam, Ekky Novriza; Suakanto, Sinung
eProceedings of Engineering Vol. 12 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Engineering

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Abstract

Budidaya Jamur Tiram Barokah sebagai UMKM di Indonesia menghadapi tantangan dalam pemantauan suhu, kelembapan, dan klasifikasi fase pertumbuhan jamur tiram yang masih dilakukan secara manual, sehingga berisiko menimbulkan ketidakefisienan dan keterbatasan data historis. Penelitian ini bertujuan untuk merancang arsitektur sistem pemantauan dan klasifikasi fase pertumbuhan jamur tiram berbasis Internet of Things (IoT) dan object detection, menggunakan pendekatan Waterfall dan kerangka 4+1 View Model. Sistem dikembangkan untuk memantau suhu dan kelembapan kumbung secara real-time serta mengklasifikasikan fase pertumbuhan jamur tiram berbasis citra visual. Evaluasi dilakukan dengan mengukur Mean Time To Recovery (MTTR), Mean Time Between Failures (MTBF), dan availability. Hasil pengujian menunjukkan bahwa modul suhu dan kelembapan memiliki MTTR sebesar 31,2 detik dan MTBF sebesar 23,07 jam, sedangkan modul kamera memiliki MTTR sebesar 27,3 detik dan MTBF tak terhingga, dengan nilai availability masing-masing sebesar 99,96% dan 100%. Temuan ini menunjukkan bahwa arsitektur sistem yang dirancang mampu memastikan reliabilitas dan ketersediaan tinggi, sehingga mendukung praktik budidaya jamur tiram yang lebih efisien dan berkelanjutan pada skala UMKM. Penelitian ini berkontribusi pada pengembangan arsitektur sistem informasi berbasis IoT di sektor agrikultur. Kata kunci — Jamur tiram, sistem pemantauan, klasifikasi visual, IoT, arsitektur perangkat lunak
Development of Waste Management Application using GIS Ardianti, Mifta; Suakanto, Sinung; Zulkarnaen, Rizky Zaki
Sistemasi: Jurnal Sistem Informasi Vol 14, No 6 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i6.5680

Abstract

Waste management is a serious challenge in modern society due to rapid population growth and urbanization. The inefficiency of conventional systems such as limited coordination, infrastructure, and reporting calls for a technology-based approach. This study develops a web-based waste management application integrated with Geographic Information System (GIS) to improve waste collection, monitoring, and reporting. The development method used is prototyping, allowing iterative improvement based on user feedback. The application includes key features such as waste bin location data entry, interactive map visualization with Leaflet.js, and transaction reporting. The result showed that the app is able to provide real-time visualization of waste bin locations, display waste statistics, and improve the transparency and efficiency of waste management operations. This research contributes to the development of environmental information systems that support data-driven decision-making and environmental conservation.
Development of Information System for Asset Management Safara Cathasa Riverinda Rijadi; Sinung Suakanto
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/jpp2kr39

Abstract

An information system for asset management in a university is very important, especially in a faculty with many majors. There are a lot of assets, including laboratories and items inside. In this research, the authors present the development of an information system using feature-driven development (FDD) methodology, which is one of the agile methods, giving flexible and collaborative methods prioritizing main users. To communicate between stakeholders, the development of initial models using UML diagrams, such as use case diagrams, sequence diagrams, and deployment diagrams. The modules on this asset management website are administration for building and room data, asset categorization, asset search, and asset maintenance and problem reporting. The website was developed using PHP with a Laravel framework and MySQL database. This website is beneficial for increasing the efficiency of assets, with future development involving more advanced technology.
Pengembangan Backend Aplikasi Pengenalan Plat Nomor Kendaraan Indonesia Hadiningrum, Tiara Rahmania; Suakanto, Sinung; Musnansyah, Ahmad
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i3.15411

Abstract

Penelitian ini bertujuan untuk mengembangkan sebuah Application Programming Interface (API) menggunakan framework Flask dalam sistem Automatic Number Plate Recognition (ANPR) untuk mengenali pelat nomor kendaraan secara otomatis. Pesatnya perkembangan teknologi pembelajaran mendalam yang memungkinkan inovasi dalam pengenalan pelat nomor kendaraan, yang memiliki berbagai aplikasi penting seperti penegakan hukum, manajemen parkir, pengaturan lalu lintas, dan lain-lain. Metode pengembangan API ini melibatkan pengujian terhadap 200 gambar, di mana 198 gambar berhasil mendeteksi pelat nomor dengan baik. Hasil penelitian ini adalah modul back end yang menyediakan fungsi lengkap bagi klien, memungkinkan mereka untuk menjalankan proses bisnis utama dengan efektif. Kesimpulannya, penggunaan framework Flask dalam mengembangkan API ANPR ini berhasil memberikan solusi yang dapat diandalkan dalam mengenali pelat nomor kendaraan secara otomatis dan efisien.
Design and Build a Public Complaint Feature Via WhatsApp on the Adu.in Website with the Scrum Method : Case Study: West Java DPRD Hazdia, Aprilita Firsty; Utama, Nur Ichsan; Suakanto, Sinung
Jurnal Indonesia Sosial Sains Vol. 5 No. 04 (2024): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v5i04.1070

Abstract

The importance of the role of members of the Regional People's Representative Council (DPRD) as representatives of the community requires active involvement in absorbing, accommodating, collecting, and following up on community aspirations and complaints. However, the complaint process often faces obstacles that result in delays in resolving problems, ranging from the complexity of the complaint flow to the difficulty of finding an effective complaint platform. To overcome these challenges, an innovative step was taken, which was to create a website that provides a complaint feature via WhatsApp. The main objective of this initiative is to provide easier access to the community to participate in raising their complaints and complaints. With the WhatsApp complaint platform, it is hoped that the community can quickly and efficiently report problems and provide feedback to the local government. The WhatsApp complaint feature is integrated to minimize technical barriers and facilitate use by the wider community. Through this website, people can easily file complaints, send messages, and provide documentation related to the problems faced. With the implementation of this platform, it is expected that problem-solving can be done more efficiently and responsively. Thus, creating a public complaint website with a complaint feature via WhatsApp is not only a practical solution in dealing with the obstacles of the complaint process but also a significant step in encouraging active public participation in building a transparent and accountable government.
User Experience Development in Elderly Heart Patient Monitoring System Alaric Rasendriya Aniko; Tien Fabrianti Kusumasari; Sinung Suakanto; Muhammad Ivan Fadilah
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 14 No 4: November 2025
Publisher : This journal is published by the Department of Electrical and Information Engineering, Faculty of Engineering, Universitas Gadjah Mada.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jnteti.v14i4.18783

Abstract

Heart disease is a major global cause of death, particularly among the elderly. Elderly often face challenges in accessing healthcare due to physical and cognitive limitations, making remote health monitoring systems a crucial solution. However, the effectiveness of these systems depends heavily on a good user experience (UX), which is often a challenge for the elderly. This research aims to develop a user-centered design (UCD) method and design a remote patient monitoring prototype that is specifically tailored to the needs of the elderly. The research employed a design science research methodology (DSRM) and included an in-depth literature review, interviews with five elderly patients and two medical professionals, a needs analysis, and the development of the FlowBeat prototype. The developed UCD method consisted of seven phases, and its validity was assessed by six UI/UX experts using the content validity ratio (CVR) and the content validity index (CVI), including item-CVI (I-CVI) and scale-CVI (S-CVI). The results showed that the research users and test the design phases were rated as the most essential (CVR = 1) and relevant (I-CVI = 1). Conversely, the creating a personal manifesto phase scored the lowest (CVR = -0.33). The overall S-CVI score was 0.93, indicating strong content validity for most of the framework. In conclusion, the creating a personal manifesto and evaluate against requirements phases performed poorly, necessitating their removal. Furthermore, further research requires testing the prototype on elderly to ensure successful implementation in the real world.
Design and Development of a Competency Certificate Surveillance System for Electrical Technical Personnel using a Disruptive RSM Design Approach Mulyati, Rika; Lubis, Muharman; Suakanto, Sinung; Rahman, A. Taupik
International Journal of Artificial Intelligence Research Vol 9, No 1.1 (2025)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v9i1.1.1660

Abstract

The competency certificate for electrical technical personnel serves as formal evidence that an individual is qualified to work in the electricity sector and has a validity period of three years, requiring periodic surveillance to ensure regulatory compliance. In practice, the surveillance process is still largely conducted manually by Competency Certification Bodies (LSK), resulting in administrative inefficiencies, delays in certificate renewal, fragmented documentation, and limited traceability of surveillance records. These challenges not only burden certification bodies and certificate holders but also affect regulatory supervision performance. This study aims to design and develop a competency certificate surveillance information system for electrical technical personnel using a disruptive Recognise–Scrutinize–Materialize (RSM) design approach. Data were collected through observations, semi-structured interviews, and document analysis to identify existing problems and system requirements. The RSM method was applied to systematically align stakeholder needs with national regulations and international standards, including ISO, IEEE, and NIST guidelines. The results of this research produce a regulation-based surveillance system design in the form of a structured mock-up that integrates automated reminders, digital document validation, standardized surveillance workflows, and real-time monitoring dashboards. The proposed system is expected to improve efficiency, data accuracy, transparency, and regulatory compliance in the surveillance and renewal process of competency certificates. This research contributes novel insights into the digitalization of competency certificate surveillance, a topic that has received limited attention in previous studies, particularly within the electricity sector. 
DETEKSI OBJEK ASET RUMAH SAKIT MENGGUNAKAN COMPUTER VISION DENGAN METODE GENERATIVE ADVERSARIAL NETWORKS Sinung Suakanto; Muhammad Fahmi Hidayat; Faqih Hamami; Anis Farihan Mat Raffei; Edi Nuryatno
JURNAL INFOTEL Vol 17 No 1 (2025): February 2025
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/infotel.v17i1.1277

Abstract

Hospital asset monitoring systems encounter significant challenges in managing partially occluded medical equipment, which affects inventory management and operational efficiency. Conventional object detection methods have shown limitations in accurately detecting occluded medical equipment, potentially leading to asset management inefficiencies. This study presents an integrated framework that combines Generative Adversarial Networks (GAN) inpainting with YOLOv8 to improve the detection accuracy of partially occluded medical equipment. The proposed system was evaluated using three distinct training configurations of 500, 750, and 1000 epochs on a comprehensive medical equipment dataset. The experimental results indicate that the 1000-epoch GAN model demonstrated superior reconstruction performance, achieving a Peak Signal-to-Noise Ratio (PSNR) of 39.68 dB, Structural Similarity Index Measure (SSIM) of 0.9910, and Mean Squared Error (MSE) of 7.0030. Furthermore, the integrated YOLOv8-GAN framework maintained robust detection performance with an F1-score of 0.933, comparable to the 0.938 achieved with unoccluded original images. The detection confidence scores exhibited improvement at higher epochs, ranging from 0.824 to 0.861, suggesting enhanced performance with extended training duration. The findings demonstrate that the integration of GAN inpainting with YOLOv8 effectively enhances occluded object detection in hospital environments, offering a viable solution for improved asset monitoring systems.
Co-Authors A. TAUPIK RAHMAN A., Simon Filippus Abdulaziz, Rifqi Abdulaziz Adillah, Muhammad Fauzan Nur Adyartama, Arya Putra Agustien, Ferry Ahmad Musnansyah Ahmad Sidik Rofiudin Alaric Rasendriya Aniko Albert, Vincentius Alfi Zahra Hafizhah Andreas Andreas Angela, Dina Anggraeni Xena Paradita Ani Kartini Aniko, Alaric Rasendriya Anis Farihan Mat Raffei Anis Farihan Mat Raffei Anisa, Gia Annastasia, Syifa Aprilita Firsty Hazdia Arifudin, Nanang Bagastio, Shobrun Jamil Bayuwindra, Anggera Christy, Aldi Cristian Richardo Anin Daniel Hadi Wijaya Dimas Jaya Kusuma Dina Angela Echo, Ruth Edi Nuryatno Edi Triono Nuryatno Ekky Novriza Alam Ema Rachmawati Evan Reswara Fa'rifah, Riska Yanu Fahrizky, Bimo Agung Faidatul Hikmah Faishal Mufied Al Anshary Fakhrurroja, Hanif Faqih Hamami Fauzan Nur Adillah, Muhammad Fauzi, Rokhman Febriyani, Widia Ferda Ernawan Firdaus, Taufiq Maulana Gamaliel, Yoyok Yusman Hadiningrum, Tiara Rahmania Handoko, Mahardika Maulana Al Mahdi Hardiyanti, Margareta Hazdia, Aprilita Firsty Herry Imanta Sitepu Herry Sitepu Herry Sitepu Hikmah, Faidatul Hutagalung, Maclaurin Hutahaean, Bernad Robinson Ismail, Mohd Arfian Isnaeni, Rizqullah Maziyah Jan M. Pawlowski Krisna Dwi Permana Mahardika Maulana Al Mahdi Handoko Margareta Hardiyanti Mat Raffei, Anis Farihan Mifta Ardianti Mima Artamevia Muhammad Fahmi Hidayat Muhammad Haris Sitompul Muhammad Ivan Fadilah Muharman Lubis Muharman Lubis Mulyati, Rika Munansyah, Ahmad Nia Ambarsari Nugroho, Tunggul Nugroho, Tunggul Arief Nur Ichsan Utama Nuraliza, Hilda Nuryanto, Edi Priyadi, Djoko Rachmadita Andreswari Rafi Adinegoro Raharjo, Adi Rahmat Fauzi Raina, Apriani Nur Raisyah Nurul Amanah Randy Ferdiawan Revyolla Ananta Dila Rika Mulyati Rivero Novelino Roberd Saragih et al., Roberd Rofiudin, Ahmad Sidik S. Suhardi Safara Cathasa Riverinda Rijadi Sang Dara Parameswari Sang Dara Parameswari Satria , Ryan Muhammad Sayyid Taufiq Abdulhafizh Sebastian, Kelvin See, Tan Lian Seno Adi Putra SETYORINI Shaffiei, Zatul Alwani Siregar, Amril Mutoi Suhono H. Supangkat Sulingallo, Irwansa Ryan Syfa Nur Lathifah Syfa Nur Lathifah Thaha, Taufik Kemal Tien Fabrianti Kusumasari Tjong Wan Sen Ulinuha, Zulfa Ventje Jeremias Lewi Engel Warmiyana Zairi Absi Widyadhari, Dinda Putri Widyatama, Yudhi Widyatasya Agustika Nurtrisha Wijaksana, Syifa Nuurunnisa Wijaya, Yohanes Rico Yoga Raditya Nugraha Sukma Pradana Yoyok Gamaliel Yumna Zahran Ramadhan Zulkarnaen, Rizky Zaki