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All Journal Jurnal Simetris Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika Jurnal Mirai Management JOIV : International Journal on Informatics Visualization JEEMECS (Journal of Electrical Engineering, Mechatronic and Computer Science) JURNAL ILMIAH INFORMATIKA Journal Information System Development Batoboh : Jurnal Pengabdian Pada Masyarakat IJISTECH (International Journal Of Information System & Technology) Jurnal Tekinkom (Teknik Informasi dan Komputer) IJISTECH Jurnal Puan Indonesia Jurnal Sains Informatika Terapan (JSIT) JUPADAI : Jurnal Pengabdian Kepada Masyarakat JURSIMA Jurnal Sistem Informasi dan Manajemen Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Sitohang, Sunarsan
Universitas Putera Batam
Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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SISTEM DETEKSI POLUSI UDARA BERBASIS INTERNET OF THINGS Muhammad Nur Sapi'i; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 12 No 2 (2025): Comasie Vol 12 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i2.9665

Abstract

Air pollution is one of the most pressing environmental issues, especially in urban and industrial areas such as Batam City, which experiences high pollution levels due to vehicle and industrial activities. This condition significantly impacts public health, including an increased potential for respiratory diseases, asthma, and lung cancer. Therefore, an effective solution is required to monitor air quality in real-time. This research aims to develop an air pollution detection and monitoring system based on the Internet of Things (IoT) that can provide accurate and easily accessible information. The methodology employed in this study includes prototyping and literature review to understand air pollution concepts, IoT, and sensor technologies. The system is designed using MQ-2, MQ-135, and GP2Y1010AU0F sensors to detect harmful gases such as carbon monoxide, carbon dioxide, and particulate matter. The data collected by the sensors is transmitted through an IoT network and displayed on the Telegram application. This application enables users to monitor Track air quality in real-time and get alerts when the air quality changes reaches unhealthy levels. The test results show that the system effectively detects air quality changes. Notifications sent via Telegram align with measurement results displayed on the hardware. This system provides a practical and efficient solution for monitoring air quality in various locations, including industrial areas, urban settings, and public spaces. This research is expected To enhance public awareness of the hazards of air pollution and motivate action to reduce its impact.
PERANCANGAN SISTEM ABSEN BERBASIS FACE RECOGNITION Manik, Yosep Pangihutan; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 12 No 4 (2025): Comasie Vol 12 No 4
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i4.9863

Abstract

The rapid advancement of face recognition technology offers potential solutions for inefficient manual attendance systems, such as the one at SMK Tunas Muda Berkarya Vocational School, which relies on time-consuming, error-prone methods. This study aimed to design and implement an automated attendance system using face recognition to enhance accuracy and efficiency. Employing Python, OpenCV, and the Eigenface method with Principal Component Analysis (PCA), the system integrated Viola-Jones algorithm for face detection and Haar-like features for training. UML diagrams guided the design, while Black Box Testing validated functionality. Results demonstrated successful implementation with 15 students, achieving efficient real-time attendance recording and reduced processing time. However, accuracy depended on optimal lighting and frontal face positioning. The conclusion affirms the Eigenface method’s effectiveness in automating attendance, significantly improving over manual systems. Future recommendations include optimizing environmental adaptability, integrating mobile platforms, and enhancing user interaction features for broader applicability. This research underscores the viability of biometric systems in educational institutional management.
PROTOTYPE SISTEM MONITORING KESEHATAN TUBUH MENGGUNAKAN IOT BERBASIS ANDROID Abdul Razaq Fatta Utama; Sunarsan Sitohang
Computer Science and Industrial Engineering Vol 12 No 4 (2025): Comasie Vol 12 No 4
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i4.9865

Abstract

IoT (Internet of Things) is a concept that utilizes the internet network to connect various devices into a machine and allows these devices to operate automatically by collecting data in real time. body accurately and quickly. The heart works as a blood pumping device and is a very fatal organ if it does not work properly. This condition is a heart disorder which involves a delay in blood supply to the heart muscles because the blood vessels are blocked and the heart becomes abnormal. Heart problems or abnormal functioning of the heart can result in a 50% death rate. However, some people have difficulty reaching hospitals because they live in rural areas. Thus, it is hoped that today's advanced technology can help make the work of nurses easier and can help the medical field work in diagnosing patients quickly and precisely, and can be reached by all people, such as health monitoring tools based on body temperature. This tool can diagnose normal or abnormal heart conditions based on detection sensors connected to the device using network media and uses Android as a platform that provides an intuitive interface so that it can be adjusted to the needs or desires of a client or researcher. In this way, a Prototype tool is created, which is an initial design model for a design before increasing product sales.
IMPLEMENTASI FACE RECOGNITION MENGGUNAKAN METODE CONVOLUTIONAL NEURAL NETWORK UNTUK TRANSFORMASI DIGITAL ABSENSI Ricky; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 13 No 1 (2025): Comasie Vol 13 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i1.10263

Abstract

Advancements in digital technology have transformed conventional attendance systems into more secure and automated solutions. However, manual and online-based systems remain vulnerable to fraud, such as proxy attendance and false records. This study designs a digital attendance system using face recognition technology based on the Convolutional Neural Network method. The process begins by capturing facial images via camera, followed by preprocessing steps including grayscale conversion, face detection using Haar Cascade, and resizing images to 100x100 pixels. The CNN model is trained with the preprocessed dataset and saved in .joblib format for real-time face identification. Attendance is automatically recorded in a CSV file. Testing was conducted based on dataset size, distance, and face position relative to the camera. Results show that accuracy improves with more training data. Using 200 images per individual yielded the best balance of accuracy, speed, and storage efficiency unlike 50 images, which often failed, or 500 images, which required long training times and large storage. Lighting quality also significantly impacts recognition accuracy, poor or uneven lighting leads to unclear facial features. Thus, proper lighting is essential. This study demonstrates that CNN effectively supports the digital transformation of attendance systems, making them more accurate, efficient, and fraud-resistant.
IMPLEMENTASI NEURAL NETWORK DENGAN METODE LSTM UNTUK PREDIKSI PENJUALAN CHINTARI CAKE AND COOKIES Suranti; Sunarsan Sitohang
Computer Science and Industrial Engineering Vol 13 No 3 (2025): Comasie Vol 13 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i3.10535

Abstract

In the competitive food and beverage industry sector, the ability to accurately predict demand is crucial to supporting effective production and marketing strategies. Chintari Cake and Cookies, a small and medium-sized enterprise (SME) specializing in homemade cakes and cookies, faces challenges in dealing with unpredictable demand fluctuations. This study aims to forecast daily sales using the Long Short-Term Memory (LSTM) algorithm, a type of Recurrent Neural Network (RNN) known for its effectiveness in processing sequential data and recognizing long-term patterns. LSTM was chosen due to its advantages over conventional statistical methods such as ARIMA, particularly in terms of prediction accuracy. Five years of historical sales data were used as model input, which was then processed through preprocessing stages before training the LSTM model. The prediction results were evaluated using RMSE (Root Mean Square Error) and MAPE (Mean Absolute Percentage Error) metrics. The results showed an RMSE value of 6.752 and a MAPE value of 6.792, indicating a low prediction error rate. These findings demonstrate that the LSTM algorithm can serve as an effective solution for SMEs in improving the accuracy of production planning and inventory management based on historical data patterns.
DESAIN DAN IMPLEMENTASI LAMPU RUANGAN OTOMATIS BERBASIS IoT Siregar, Ivan Hengki; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 13 No 4 (2025): Comasie Vol 13 No 4
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i4.10568

Abstract

Smart homes are part of an innovation in the application of the Internet Of Things, it can be seen that its application is able to automatically control almost all objects in the house. The purpose of the Internet Of Things (IoT) is continuously developed, one of which is to expand the use of the internet which is getting wider every day. With the development of technology and the existence of the Internet Of Things (IoT) which can be used in various fields of human needs today, for example with the existence of electronic room lighting devices that can be controlled remotely by utilizing an internet connection and controlled via an Android smartphone with a telegram application. In this study, a prototype of an automatic room lamp based on IoT was built, using the NodeMCU ESP8266 module as a microcontroller and to control remotely using the bot in the Telegram application. Based on the results of the trials carried out, it produced an IoT application that was able to control the lights from the telegram bot, so it can be concluded that the system can work well according to its objectives.  
Co-Authors Abdul Hamid Abdul Razaq Fatta Utama Adeh Berydika Andi Maslan Anggiat Marubah Siringo ari purnama, ari purnama ARSYAD SUMANTIKA Arwin, elfani Azri Irawan Brilliant Hillary Sandy Daeli, Fonirius Dwi Saputra, Kevin Ganda Sirait Gregorius Teheq Buyanaya, Gregorius Teheq Buyanaya Halimah Tussa'Adiyah, Halimah Handoko, Koko Hotma Pangaribuan Hotma Pangaribuan IRWANSYAH Junellson Lase, Fanotona Lubis, Kahfi Rama Putra Manik, Yosep Pangihutan Martan, Martan Gelisa Halawa Marubah Siringo, Anggiat Maslan, Andi Mendrofa, Nober Six Salvanius Mohamad, Kamaruddin Malik Bin Muhammad Nur Sapi'i Mukhsinin, Nuriel Niati, Endang Pangaribuan, Hotma Putri, Sartika Diana rajagukguk, dormintang rajagukguk Renaldi, Encik Yoega Ricky rikson pandapotan tampubolon RIZKIANA, WIKI INDAH RIZKIANA Sabbram Agus Setiawan sam, samuel julianda berkat waruwu Sandy Sandy Saputra, Rios sari, anggi wijaya Setia Susilawati Setiawan, Sabbram Agus Silalahi, Putri Rosayanti Simanjuntak, Pastima Sirait, David Arif Setiawan Sirait, Ganda Siregar, Ivan Hengki Situmorang, Nopriadi Stevent Suharyanto, Cosmas Eko supianto supianto Supianto Supianto, Supianto Suranti Very Karnadi Very Karnadi Virginiawan, Virginiawan Zendate, Sabar Serius