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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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ARCHITECTURE DESIGN OF HEALTH ASSET DETECTION SYSTEM IN HOSPITAL Widyadhari, Dinda Putri; Sinung Suakanto; Faqih Hamami; Anis Farihan Mat Raffei
Jurnal Sistem Informasi Vol 11 No 2 (2024)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/jsii.v11i2.9135

Abstract

Efficient management of hospital assets is essential to ensure that operations can run optimally and the quality of health services is good. However, the recording and management of assets in hospitals carried out manually often causes data errors, information mismatches, and also assets are only known by the manager without being explicitly recorded. In overcoming this problem, the researcher aims to develop a hospital asset detection system architecture using an iterative and incremental methodology approach. The stages of this system development include identification of needs and conceptual models, logical architecture design, conceptual architecture design, logical architecture, physical architecture, technology selection, and evaluation. This system utilizes YOLO model reading technology for asset detection and identification, storing detection results into a local database using SQLite3, sending data to a central server via API, and post-processing data by selecting the highest confidence score stored in a MySQL database and then using the data to manage asset management and asset visualization. The implementation of this system successfully reduces manual recording time, improves asset visibility, and optimizes resource usage, thus contributing to the improvement of efficiency and quality of health services.
Moving Asset Tracking Using GPS Sensor and Internet of Things Suakanto, Sinung; Nugroho, Tunggul Arief; Nuryanto, Edi; Lathifah, Syfa Nur; Nuraliza, Hilda
Jurnal Telematika Vol. 19 No. 2 (2024)
Publisher : Yayasan Petra Harapan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61769/telematika.v19i2.650

Abstract

Moving assets, such as buses, trucks, and trains, are important productive assets, especially in the transport industry. Effective tracking of these assets is essential to optimize operations, ensure safety, and minimize costs. However, traditional tracking methods often lack real-time monitoring, which leads to inefficiencies and potential risks. This research proposes a mobile asset tracking system with a special focus on railway assets and leverages GPS technology for real-time positioning and IoT for data transmission to a cloud-based data center. A prototype of the system was successfully developed using hardware connected to a GPS device that continuously transmits location data. In this paper, an application for visualization management has also been developed to display asset data and track asset positions in real time. Performance evaluation was conducted using the RAMS (reliability, availability, maintainability, and safety) framework, which showed an average update interval of 49 seconds, a system availability rate of 94% for one month, and better maintainability due to the plug-and-play nature of the GPS-based system. Although long-term safety improvements require further study, the proposed system improves on existing navigation methods by providing real-time tracking and increasing operator awareness. These findings highlight the potential of GPS and IoT integration in improving asset tracking and operational efficiency in the transport sector.
Implementation of Machine Learning-Based Classification Model in Employee Recruitment Decision Prediction Adillah, Muhammad Fauzan Nur; Suakanto, Sinung; Utama, Nur Ichsan
Journal La Multiapp Vol. 6 No. 2 (2025): Journal La Multiapp
Publisher : Newinera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37899/journallamultiapp.v6i2.2050

Abstract

Employees are vital assets for any organization, and accurate recruitment decision-making is crucial for the organization's long-term success. Incorrect decisions can lead to high costs due to re-hiring processes, onboarding, and decreased productivity. This study aims to develop a recruitment decision prediction model using data obtained from the Final Results of the 2024 CPNS Recruitment in the Ministry of Finance. The data includes attributes such as educational background, age, GPA, SKD Score, and SKB Score. To understand the relationships between variables, correlation analysis was conducted using a correlation matrix and heatmap visualization. Additionally, data exploration was performed using histograms to show the influence of attributes on recruitment decisions. This study employs five machine learning algorithms for prediction: Linear Support Vector Machine, Decision Tree (C5.0), Random Forest, k-Nearest Neighbor (k-NN), and Naïve Bayes Classifier. The results indicate that some attributes significantly influence recruitment decisions, and machine learning models can identify candidates who are more suitable for the available positions. Among the five models tested, Naïve Bayes proved to be the most effective, achieving an accuracy of 88% and an AUC of 0.97, demonstrating its strong performance in distinguishing positive and negative classes. The key factors contributing to the model's success include relevant feature selection, data quality, as well as appropriate preprocessing and validation techniques. This model is expected to enhance objectivity, efficiency, and accuracy in employee recruitment processes, thereby assisting organizations in making more precise and fair decisions.
Development of a Mini ERP Application Using Agile Methodology for Optimizing Production Processes in a Fabric Manufacturing Company Febriyani, Widia; Suakanto, Sinung
Jurnal Teknologi Sistem Informasi dan Aplikasi Vol. 7 No. 4 (2024): Jurnal Teknologi Sistem Informasi dan Aplikasi
Publisher : Program Studi Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/jtsi.v7i4.44186

Abstract

The rapid advancement of information technology has dramatically impacted various industries, prompting organizations to adopt computer-based systems that boost innovation and business efficiency. It has become an industry cornerstone, driven competition and enabling companies to enhance production efficiency, creating adaptable business models that align with Goal 9 of the 2030 Sustainable Development Goals (SDGs). This goal promotes strengthening infrastructure, fostering innovation, and supporting sustainable industrial growth, which is crucial for achieving sustainable development and community empowerment. In the textile manufacturing industry and among small to medium-sized enterprises (SMEs), companies often struggle to manage multiple operational areas due to a lack of integration in management systems like order processing, inventory, production, delivery, and finance. This reliance on manual processes can lead to errors, delays, and data inaccuracies, impacting customer satisfaction and competitiveness. To tackle these issues, this study proposes developing a mini-ERP system tailored to small and medium-sized companies, particularly textile manufacturers. This system aims to integrate various business functions into a centralized platform, enhancing operational efficiency, minimizing errors, and improving customer service. However, challenges such as customization, implementation costs, and staff training must be addressed. Using a qualitative approach, this research includes in-depth interviews, observations within textile companies, and document analysis. The waterfall model guides the development process, ensuring thorough task completion at each stage. The goal is to design and implement an ERP system that meets the unique needs of textile manufacturers while ensuring seamless adoption and maximum benefit.
Design and Build a Public Complaint Feature Via WhatsApp on the Adu.in Website with the Scrum Method : Case Study: West Java DPRD Aprilita Firsty Hazdia; Nur Ichsan Utama; Sinung Suakanto
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.
Generative Adversarial Networks In Object Detection: A Systematic Literature Review Mat Raffei, Anis Farihan; Suakanto, Sinung; Hamami, Faqih; Ismail, Mohd Arfian; Ernawan, Ferda
JOIN (Jurnal Online Informatika) Vol 10 No 1 (2025)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v10i1.1576

Abstract

The intersection of Generative Adversarial Networks (GANs) and object detection represents one of the most promising developments in modern computer vision, offering innovative solutions to longstanding challenges in visual recognition systems. This review presents a systematic analysis of how GANs are transforming these challenges, examining their applications from 2020 to 2025. The paper investigates three primary domains where GANs have demonstrated remarkable potential: data augmentation for addressing data scarcity, occlusion handling techniques designed to manage visually obstructed objects, and enhancement methods specifically focused on improving small object detection performance. Analysis reveals significant performance improvements resulting from these GAN applications: data augmentation methods consistently boost detection metrics such as mAP and F1-score on scarce datasets, occlusion handling techniques successfully reconstruct hidden features with high PSNR and SSIM values, and small object detection techniques increase detection accuracy by up to 10% Average Precision in some studies. Collectively, these findings demonstrate how GANs, integrated with modern detectors, are greatly advancing object detection capabilities. Despite this progress, persistent challenges including computational cost and training stability remain. By critically analyzing these advancements and limitations, this paper provides crucial insights into the current state and potential future developments of GAN-based object detection systems.
Business Process Reengineering based on Information Economics annastasia, syifa; Suakanto, Sinung; Lubis, Muharman
Sistemasi: Jurnal Sistem Informasi Vol 14, No 5 (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.v14i5.5240

Abstract

Business Process Reengineering (BPR) is a strategic initiative to achieve fundamental improvements in organizational performance. However, research shows that up to 70% of BPR initiatives fail, often due to unclear value delivery and ineffective process redesign. This study aims to address that gap by redesigning the recruitment and selection process using an information economics approach evaluating the value of information to drive better decision making and resource allocation. The research applied process mapping, identification of non-value-adding activities, and value-based analysis at each stage, followed by the integration of digital tools to streamline workflows and improve data accuracy. A case study in a large organization was conducted to test the effectiveness of the redesigned model. The key findings of this study are its greatest strength and must be explicitly highlighted to convey its impact: the redesigned process resulted in a 67.3% reduction in processing time and a Return on Investment (ROI) of 1,085.17% demonstrating not only operational efficiency but also clear financial gain. These outcomes validate the role of information economics in successful BPR and offer a replicable framework for other organizations. By combining BPR with the discipline of information economics, this study offers a replicable, outcome-oriented framework that addresses one of the most common reasons BPR initiatives fail unclear value delivery. This contribution is particularly critical in HR contexts, where decisions are often qualitative and under digitized. The findings provide actionable guidance for organizations seeking to future-proof their HR processes while avoiding the pitfalls that undermine most BPR efforts.
Pengembangan React Js Pada Frontend Website Pengaduan Dan Pelayanan Publik Menggunakan Metode Scrum (Studi Kasus: Dprd Jawa Barat) Raina, Apriani Nur; Utama , Nur Ichsan; Suakanto, Sinung
eProceedings of Engineering Vol. 11 No. 4 (2024): Agustus 2024
Publisher : eProceedings of Engineering

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

Abstract

— Penelitian ini menggambarkan tantangan dalam pengaduan dan penindakan permasalahan pelayanan publik di wilayah Jawa Barat, dimana persepsi negatif masyarakat terhadap kualitas pelayanan pemerintah menghambat proses pelaporan. Banyak masyarakat lebih memilih untuk tidak melaporkan permasalahan atau menggunakan media sosial sebagai alternatif, menciptakan keraguan dalam berinteraksi dengan pelayanan publik. Dalam upaya meningkatkan interaksi ini, penelitian ini fokus pada pengembangan frontend website untuk pengaduan dan pelayanan publik, dengan entitas DPRD Jawa Barat sebagai pusat layanan. Penerapan React Js bertujuan untuk meningkatkan responsivitas dan kualitas layanan publik melalui platform online. Metode Scrum digunakan untuk memastikan pengembangan yang adaptif dan kolaboratif, memungkinkan respons yang cepat terhadap perubahan kebutuhan masyarakat. Hasil penelitian memberikan kontribusi positif terhadap pengembangan sistem pengaduan dan pelayanan publik di Jawa Barat, memberikan panduan berharga bagi pemerintah dan organisasi serupa dalam mengadopsi teknologi terkini. Evaluasi menggunakan User Acceptance Test (UAT) menunjukkan bahwa website diterima dengan baik, dengan nilai sprint 1 memperoleh presentase 91.94%, sprint 2 dengan presentase 90.8%, dan sprint 3 dengan presentase 88.1% dengan kategori ketiga sprint yaitu sangat baik. Selain itu, hasil positif dari Blackbox Testing menunjukkan kehandalan dan kualitas fungsionalitas sistem, menciptakan dasar yang kokoh untuk penyediaan layanan publik yang lebih efektif di era digital. Dengan demikian, penelitian ini mengusulkan solusi yang tanggap terhadap kendala pelaporan masyarakat, menciptakan terobosan dalam pelayanan publik di Jawa Barat yang dapat diadopsi oleh entitas serupa dalam upaya menuju tata kelola pelayanan publik yang lebih unggul. Kata kunci— Pengaduan, Pelayanan Publik, Scrum, User Acceptance Test (UAT).
Prediction of Turbidity Removal Time in Electrocoagulation Wastewater Using Random Forest, XGBoost, and Others: A Data-Driven Information System Approach Suakanto, Sinung; See, Tan Lian; Shaffiei, Zatul Alwani; Firdaus, Taufiq Maulana; Lubis, Muharman; Bayuwindra, Anggera
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 4 (2025): JUTIF Volume 6, Number 4, Agustus 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.4.4847

Abstract

Electrocoagulation is an effective and environmentally friendly technology for treating wastewater by removing contaminants such as turbidity, heavy metals, and organic compounds. Accurately predicting turbidity removal time is essential for optimizing treatment performance and operational efficiency. However, this is challenging due to complex, nonlinear relationships between multiple parameters including current, voltage, electrode configuration, conductivity, and turbidity removal rate. This study aims to develop a predictive framework by comparing six supervised regression models, namely Linear Regression, Polynomial Regression, Random Forest, Support Vector Regression (SVR), XGBoost, and Long Short-Term Memory (LSTM), using key electrocoagulation parameters. After extensive data preprocessing, a dataset of 281 samples was used for training and validation. Among them, Random Forest achieved the best performance (R² = 0.876, RMSE = 601.15). A data-driven information system is proposed to integrate these predictive capabilities for real-time monitoring and control. By improving turbidity prediction accuracy, the system enables the sustainable utilization of water as a valuable asset, even in its wastewater form. The approach enhances decision-making by providing intelligent feedback for process optimization. This research contributes to the advancement of intelligent, sustainable wastewater treatment systems by integrating machine learning prediction models with practical process control applications in informatics.
Integrasi Internet Of Things Ke Database Untuk Sistem Monitoring (Studi Kasus: Umkm Budidaya Jamur Tiram Barokah) Adyartama, Arya Putra; Alam, Ekky Novriza; Suakanto, Sinung
eProceedings of Engineering Vol. 12 No. 4 (2025): Agustus 2025
Publisher : eProceedings of Engineering

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

Abstract

UMKM Budidaya Jamur Tiram Barokah menghadapi tantangan dalam menjaga kestabilan suhu dan kelembapan kumbung karena proses pemantauan masih dilakukan secara manual dan tidak terdokumentasi. Penelitian ini bertujuan merancang dan mengimplementasikan sistem pemantauan berbasis Internet of Things (IoT) yang mampu membaca suhu, kelembapan, dan mengambil gambar pertumbuhan jamur secara otomatis, lalu mengintegrasikan data ke dalam database cloud secara real-time. Sistem menggunakan dua Raspberry Pi Zero 2W yang masing-masing berfungsi untuk mengakuisisi data sensor DHT11 dan citra kamera Raspberry Pi Camera Module 3. Data disimpan ke Aiven PostgreSQL dan Firebase menggunakan protokol HTTP, dengan proses otomatisasi berbasis crontab dan PM2. Evaluasi dilakukan menggunakan metode Mean Absolute Error (MAE) terhadap 38 sampel data, dengan hasil MAE sebesar 1,38°C untuk suhu dan 6,26% RH untuk kelembapan. Hasil menunjukkan bahwa sistem dapat menjadi solusi awal yang efektif dan terjangkau untuk membantu pelaku UMKM dalam meningkatkan efisiensi pemantauan lingkungan budidaya jamur. Kata kunci — internet of things, budidaya jamur tiram, raspberry pi, dht11, sistem monitoring otomatis
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