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FAKULTAS TEKNIK DAN KOMPUTER UNIVERSITAS PUTERA BATAM (Sistem Informasi, Teknik Informatika & Teknik Industri) Jl. R. Soeprapto – Tembesi – Batam – Kepulauan Riau
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Computer & Science Industrial Engineering Journal
Published by Universitas Putera Batam
ISSN : -     EISSN : 27156265     DOI : -
Core Subject : Science,
Computer Science & IT
Journal Comasie is a journal that combines 3 science namely informatics engineering, information systems and industrial engineering. The theme and scope can be seen in the scope section. This journal was created as a means of publicizing the results of research conducted by lecturers and students. This journal is published 3 times a year or every 4 months in a year. The main purpose of this journal is to facilitate students who want to publish their scientific work so that it will increase the profusion of knowledge. We on behalf of all the managers express gratitude for all efforts and support in the publication of this journal and our great hope that this journal can be a reference for the community in improving technology and to advance Indonesia (Amrizal, Andi, Welly, Rashid)
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 783 Documents
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DETEKSI KALORI PADA CITRA MAKANAN DENGAN ALGORITMA SINGLE SHOT MULTIBOX DETECTOR Fifin ayu puspitasari; Hotma Pangaribuan
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.v12i2.9714

Abstract

The increasing prevalence of non-communicable diseases such as obesity and diabetes mellitus has become a major public health concern in Indonesia. Uncontrolled food consumption is one of the primary contributing factors to these issues. Therefore, a system is needed to help individuals monitor their calorie intake more effectively. This study aims to develop a food calorie detection system using the Single Shot Multibox Detector (SSD) method. The model is applied to identify and classify food objects with high accuracy. Calorie estimation is performed based on predefined fixed portion rules. The results indicate that the developed system can recognize various types of food in real-time with optimal performance. The implementation of this system is expected to raise public awareness of healthy eating habits and support efforts to prevent non-communicable diseases in Indonesia.
PENJADWALAN PREVENTIVE MAINTENANCE MESIN DRY VACUUM PUMP DI PT XYZ BATAM Sembiring Meliala, Ricky Yakub; Elsya Paskaria Loyda Tarigan
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.v12i2.9731

Abstract

In the manufacturing industry, ensuring a smooth production process is crucial for maintaining company performance. Machines play a vital role as a production factor that significantly affects the continuity of these processes. At XYZ Batam, frequent machine downtimes disrupt production targets. This study aims to determine the optimal machine maintenance intervals to reduce downtime. The Reliability Centered Maintenance II (RCM II) approach was applied using methods such as Failure Mode and Effect Analysis (FMEA), Mean Time to Failure (MTTF), and Mean Time to Repair (MTTR). The downtime data analyzed covers the period from April 2024 to September 2024. The results indicate that thermal overload repairs on dry vacuum pump no.1 and dry vacuum pump no.2 are the most frequent maintenance activities based on Risk Priority Number (RPN) calculations from the FMEA analysis. Preventive maintenance intervals for machines with the highest downtime rates were determined as follows: dry vacuum pump no.1 requires maintenance every 129,12 hours, and dry vacuum pump no.2 every 151,83 hours.
ANALISIS RISIKO KESELAMATAN DAN KESEHATAN KERJA AKTIVITAS PROSES PRODUKSI DI DEPARTEMEN AUTOLATHE PADA PT XYZ Sijabat, Reychandro Eryvan Pardomuan; Welly Sugianto
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.v12i2.9739

Abstract

The Autolathe Department is an organizational unit responsible for producing specific products at PT XYZ using CNC lathes. The tasks in this department include machine operation, machine setup, part rework, and deburring/polishing parts, all of which are exposed to sharp objects, chemicals, and extreme dust. The company has implemented safety measures such as introducing Occupational Health and Safety (OHS) during recruitment and providing various types of Personal Protective Equipment (PPE). However, these control efforts have not been fully effective. This study aims to identify risks in all tasks within the Autolathe department using the Hazard Identification, Risk Assessment, and Determining Control (HIRADC) method and Job Safety Analysis (JSA) method, assess the risk levels, and provide recommendations to the company. The data was collected through documentation, observations, interviews, and discussions with production supervisors who also serve as OHS supervisors. The study found three tasks with high overall risk levels, involving 17 risk variables categorized as extreme or high, such as flying debris, cuts from cutter blades, material pinching, and exposure to chemicals and dust. The study recommends improving the system, including strict sanctions for operators who fail to wear PPE according to Standard Operating Procedures and providing additional PPE.
DESAIN DAN IMPLEMENTASI SISTEM PENGENDALIAN GORDEN OTOMATIS BERBASIS ARDUINO MENGGUNAKAN SENSOR LIGHT DEPENDENT RESISTOR Siregar, Kristina Yanti; Pangaribuan, Hotma
Computer Science and Industrial Engineering Vol 12 No 3 (2025): Comasie Vol 12 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i3.9742

Abstract

This research focuses on the design and implementation of an automatic curtain control system using an Arduino microcontroller and an LDR (Light Dependent Resistor) sensor. The system aims to optimize energy efficiency in residential buildings by automatically adjusting curtain openings based on ambient light intensity. The LDR sensor detects light levels, and the Arduino processes this data to control a DC motor that opens or closes the curtains. The system was prototyped using readily available components, including an Arduino Uno, LDR sensor, DC motor, and a wooden frame for housing the components. Testing demonstrated the system's effectiveness in responding to light changes, with the LDR sensor exhibiting an average response time of 2-3 seconds, and the DC motor accurately controlling the curtains with an average response time of 1 second. This automated solution has the potential to reduce reliance on artificial lighting, thereby contributing to energy conservation in homes.
ANALISIS LINE BALANCING PADA PRODUKSI SETRIKA DI PT PHILIPS INDUSTRIES BATAM Dian Pratiwi; Elsya Paskaria Loyda Tarigan
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.v12i2.9749

Abstract

This study discusses line balancing in the production of irons at PT Philips Industries Batam, aiming to improve efficiency by addressing bottlenecks in the manufacturing process. The main focus is to optimize task distribution across workstations to minimize non-value-added time and enhance production line performance. Before the improvements, line efficiency was recorded at 94%, but there was still considerable idle time. Data collection was conducted through direct observation and time measurement of 18 operations using the Ranked Positional Weight (RPW) method. The analysis revealed that the implementation of Unique Device Identifier (UDI) labels led to increased operational times, particularly in operations 11, 15, and 18, causing workflow delays. After applying line balancing strategies, efficiency significantly improved from 67.97% to 96.23%. This study demonstrates that better task distribution can reduce production delays and support the achievement of operational targets. Key improvements include a reduction in balance delay and a smoother production flow, resulting in increased overall productivity. These findings highlight the importance of line balancing in optimizing manufacturing performance and provide valuable insights for industries seeking to enhance competitiveness through a more efficient production system.
ANALISIS PEMILIHAN SUPPLIER TOU DI PT FLEXTRONICS TECHNOLOGY INDONESIA Ria Esnidar Nainggolan; Ganda Sirait
Computer Science and Industrial Engineering Vol 12 No 3 (2025): Comasie Vol 12 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i3.9768

Abstract

The manufacturing industry's growing competition demands efficient supply chain management to maintain a competitive edge. An integrated supply chain reduces costs, removes barriers, and ensures fast, accurate product distribution. Supplier relationships and adherence to Supplier Terms of Use (TOU) are crucial for optimization.This study focuses on supplier selection for PT Flextronics Technology Indonesia, a Batam-based semiconductor manufacturer established in 1991. As a key player in the global semiconductor supply chain, the company supports industries like electronics and industrial equipment.Using the Analytical Hierarchy Process (AHP), the research prioritizes supplier selection criteria: Accuracy, Delivery Accuracy, Flexibility, Cost, and Responsibility. AHP results show Oshiba Technology Sdn Bhd as the top supplier with a 28% priority score, followed by Flextronics International Ireland Ltd at 21%. Meanwhile, TOPSIS evaluates supplier performance, identifying Flextronics International Ireland Ltd as the closest to the ideal solution (0.651).The findings highlight that while Oshiba ranks highest in strategic priority, Flextronics International Ireland Ltd excels in operational performance, reflecting alignment between qualitative and quantitative assessments.
RANCANG ULANG MESIN PENCETAK BATAKO PADA PT BODEM MAS JAYA Saputro, Joko; Sirait, Ganda
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.v12i2.9770

Abstract

PT Bodem Mas Jaya is a company engaged in concrete block production. However, the company faces challenges in meeting production targets due to the limitations of its block-making machine, which can only produce two blocks per process. This study aims to redesign the block-making machine to improve efficiency and production capacity. Kansei Engineering was applied to identify user needs, resulting in 16 Kansei words such as ergonomic, productive, precise, and modern. The redesign features a four-mold system, enabling the machine to produce four blocks simultaneously, doubling production capacity. Additional features such as rubber barriers, tray holders, and mold lifters enhance stability, minimize material waste, and maintain block quality. The new design also emphasizes ease of maintenance, safety, and operational efficiency. With this redesign, the company is expected to meet the increasing market demand effectively.
ANALISIS PERBANDINGAN KINERJA ALGORITMA MACHINE LEARNING BERBASIS FEATURE SELECTION DALAM DETEKSI SERANGAN BOTNET Khoo, Rio; Handoko, Koko
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.v12i2.9778

Abstract

Internet has experienced significant development. Increasing devices connected to internet makes security against cyber attacks a critical issue, thus creates opportunities for cyber attackers, one form of those attack is botnets. In Indonesia, Botnets is the highest traffic anomalies in 2022 by BSSN. High number of attacks because detecting botnet can be challenging, difficulty of detecting attacks and low level of detection accuracy means that normal data sometimes considered an attack, so choosing method that can handle this is very important. Machine learning algorithms are able to study network data traffic and identify suspicious activity, this makes machine learning an effective method. Machine learning based on feature selection has an accuracy of above 90% in detecting DDoS attacks on datasets and machine learning algorithms are also able to detect attack data and normal data. Thus, in this research machine learning algorithms such as K-Nearest Neighbors, Support Vector Machine and Naive Bayes will be applied to dataset containing botnet and normal data to explore how machine learning algorithms can effectively detect botnet attack patterns and normal data. This research compares the performance of commonly used machine learning algorithms to find which one effective for detecting botnet attacks in existing datasets.
SISTEM PAKAR MENDIAGNOSA PENYAKIT PADA BURUNG LOVEBIRD DENGAN METODE FORWARD CHAINING BERBASIS WEB Manurung, Efran Louis; Pangaribuan, Hotma
Computer Science and Industrial Engineering Vol 12 No 3 (2025): Comasie Vol 12 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i3.9782

Abstract

The disease known as avian pox poses a serious threat to Lovebirds and can lead to their death. In some regions, this illness is referred to as "patek." The primary cause of this disease is a virus that, upon infecting a Lovebird, triggers excessive growth in the outer skin layer. This growth results in new tissue that quickly dies, forming warts. If left untreated, these warts can enlarge. The avian pox virus can be transmitted in various ways, including bites from infected mosquitoes, flies, contact with sick birds, and even through contaminated food or water. As a result of this infection, Lovebirds may experience respiratory difficulties and struggle to eat, ultimately leading to death. Therefore, it is crucial to develop a system that can assist Lovebird enthusiasts in preventing and addressing this disease. One potential solution is an expert system that can enhance the ability to diagnose symptoms like a professional.
ANALISIS KESEHATAN DAN KESELAMATAN KERJA DI PABRIK TAHU PAK SUSILO DI KOTA BATAM Mahendrawan Maulana, Firgi; Zetli, Sri
Computer Science and Industrial Engineering Vol 12 No 3 (2025): Comasie Vol 12 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i3.9786

Abstract

Pak Susilo Tofu Factory is one of the tofu factories engaged in the UMKM food industry. Tofu processing at Pak Susilo's factory still uses traditional tools and methods with minimal use of electrical energy. The problem that occurred in this study was the lack of knowledge and application of K3 in Pak Susilo's UMKM tofu. There were cases of health disorders and work accidents that occurred in the process of producing tofu so that efforts were needed to identify the risk of hazards and assess the risks. The purpose of this study was to improve occupational health and safety by identifying and assessing the level of risk of health disorders and work accidents and to provide appropriate control measures in the Pak Susilo tofu production process. The method used in this study was HIRA (Hazard Identification and Risk Assessment) to identify and assess the level of risk of hazards for workers at the Pak Susilo tofu factory. From the results of this study, 12 production processes of Mr. Susilo's tofu obtained jobs with a risk level of Extreme Risk (17%) as many as 2 jobs, High Risk (41%) as many as 5 jobs, Moderate Risk (17%) as many as 2 jobs and Low Risk (25%) as many as 3 jobs. The proposal given by 3 K3 experts for risk control to the owner of UMKM tofu Mr. Susilo is through eliminating sources of danger from the workplace, replacing safer tools, risk control measures with tool engineering to reduce potential hazards, reducing the risk of hazards in the workplace by changing policies and equipment that must be used to maintain occupational health and safety, namely PPE.

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