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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 839 Documents
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PERANCANGAN ALAT BANTU ANGKAT JUMBO BAG PROSES MIXING PADA PT XYZ BATAM Raja Doly Sirait; Sirait, Ganda
Computer Science and Industrial Engineering Vol 13 No 2 (2025): Comasie Vol 13 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i2.10330

Abstract

Labor is one of the most important assets for a company. However, human resources are not free from work-related issues. Ensuring comfort and safety at work can foster enthusiasm among employees. At PT XYZ BATAM, employees in the mixing department who manually and repeatedly pour materials have reported physical complaints. The aim of this study is to minimize the risk of musculoskeletal disorders (MSDs), identify the complaints experienced by workers, and design an ergonomic jumbo bag lifting aid to help improve poor working posture and enhance comfort. This research uses the Rapid Entire Body Assessment (REBA) method to analyze working posture and the Nordic Body Map (NBM) questionnaire to identify physical complaints. The Need, Idea, Decision, Action (NIDA) method is used to gather information needed by workers to reduce workplace issues and to develop new lifting aid designs based on previous tools. The results of the NBM questionnaire serve as the basis for the design process. The study found that workers experienced musculoskeletal complaints in the neck, back, waist, left thigh, right thigh, left knee, and right knee, with a moderate risk category. The most dominant complaint percentage reached 66.66%. As a solution, a jumbo bag lifting aid was designed with specifications of 100 cm in length, 100 cm in width, 120 cm in height, and a volume capacity of up to 1000 kg. This solution provides improved working comfort for employees.
ANALISA FAKTOR-FAKTOR YANG MEMPENGARUHI TINGKAT KESADARAN K3 KARYAWAN PADA INSTALASI ARCHITECTURAL FURNITURE DI PT CANDI GUNA MANDIRI Ananda Aulia, Lily; Zetli, Sri
Computer Science and Industrial Engineering Vol 13 No 2 (2025): Comasie Vol 13 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i2.10336

Abstract

Occupational Safety and Health (OSH) is a crucial aspect in ensuring the well-being of workers and supporting productivity and the continuity of work processes. However, at PT Candi Guna Mandiri, particularly within the Architectural Furniture installation division, there are still indications of low employee awareness regarding OSH practices, which may increase the risk of workplace accidents. This study aims to analyze the factors influencing employee awareness of OSH, including knowledge, attitude, training, managerial supervision, age, and work experience. The research uses a quantitative approach with a descriptive-analytic design and total sampling involving 79 respondents. Data were collected using a questionnaire that had been tested for validity and reliability. Data analysis was conducted using the Spearman correlation test. The results showed that among the six independent variables examined, only two had a statistically significant relationship with OSH awareness: training (r = 0.279; r = 0.013) and managerial supervision (r = 0.410; r = 0.000). Other variables - knowledge, attitude, age, and work experience - did not show a significant correlation. It can be concluded that OSH awareness among employees is more influenced by institutional approaches, such as effective training and consistent supervision. Therefore, the company is advised to strengthen its training and supervision systems to foster a work culture that is more aware of occupational safety and health.
ANALISIS POLA PENJUALAN PRODUK PENJUALAN PRODUK AKSESORIS INTERIOR PADA PT SRI INDAH LESTARI MENGGUNAKAN ALGORITMA APRIORI zheng, Agustiawan; Darmansah
Computer Science and Industrial Engineering Vol 13 No 2 (2025): Comasie Vol 13 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i2.10339

Abstract

Sri Indah Lestari is a company engaged in the sales of interior accessories and architectural hardware. The company faces challenges in understanding consumer purchasing patterns and lacks accurate data to design effective promotional strategies. This study aims to apply the Apriori algorithm to analyze transaction data and identify frequent itemsets that can be used to develop targeted promotions. The research uses a descriptive quantitative method with a data mining approach. Sales transaction data from September to December 2024 were processed using Tanagra software. The analysis applied a minimum support value of 30% to identify product combinations frequently purchased together. The results show that Cylinder Dekkson Cyl, Door Closer Dekkson, and Hinge Dekkson are the most frequently purchased items. Several strong association rules were also identified based on support and confidence values. These findings can help the company design more effective product bundles and improve promotional strategies. The Apriori algorithm has proven to be a useful tool in generating data-driven insights for business decision-making at PT. Sri Indah Lestari. Keywords: Data Mining, Apriori Algorithm, Purchase Pattern, Promotion Strategy, Tanagra
ANALISIS PENGARUH BEBAN KERJA DAN STRES KERJA TERHADAP KINERJA KARYAWAN DI PT PUMP Pramadhani, Garin; Sri Zetli
Computer Science and Industrial Engineering Vol 13 No 2 (2025): Comasie Vol 13 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i2.10341

Abstract

This study aims to analyze the effect of workload and job stress on employee performance using a quantitative descriptive approach. Workload was measured using the NASA-TLX method, while job stress was measured using the Health and Safety Executive (HSE) indicator. Data were collected from 15 employees working at PT Prathama Usaha Mandiri Perkasa through a questionnaire, then analyzed using multiple linear regression using SPSS. The results showed that workload had a significant negative effect on performance (t = -3.505; p < 0.05), as well as job stress (t = -2.917; p < 0.05). The results of the F test (F = 9.016; p < 0.05) also proved a simultaneous influence. This study states that high workload and unmanaged stress can reduce employee performance. Therefore, companies are advised to manage the division of tasks and provide support in stress management to improve employee performance.
PERANCANGAN FASILITAS KERJA YANG ERGONOMIS DEPARTEMEN STORE PADA PT NOK FREUDENBERG SEALING TECHNOLOGIES Butar Butar, Poltak Samuel; Sri Zetli
Computer Science and Industrial Engineering Vol 13 No 2 (2025): Comasie Vol 13 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i2.10352

Abstract

In the modern industrial era, ergonomic challenges have become increasingly critical, particularly in manual labor sectors that are highly prone to Musculoskeletal Disorders (MSDs). This study aims to design ergonomic work facilities in the Store Department of PT NOK Freudenberg Sealing Technologies, specifically for the pallet transfer process, which is still performed manually. The research methodology integrates the Nordic Body Map (NBM) for identifying MSD complaints, the Rapid Entire Body Assessment (REBA) for evaluating working postures, and the Ergonomic Function Deployment (EFD) for developing ergonomic solutions. The study involved three workers, selected using a saturated sampling technique due to the small population. NBM questionnaire results indicated high levels of physical discomfort, especially in the shoulders, back, and knees. REBA assessments revealed an average risk score of 7, categorized as high, indicating the urgent need for intervention. The ergonomic table was designed based on workers’ anthropometric data and the ENASE ergonomic aspects (Effective, Comfortable, Safe, Healthy, Efficient). The proposed design successfully reduced the REBA score 7, demonstrating a significant improvement in work safety and comfort. This study concludes that applying ergonomic design based on anthropometric data and the EFD method effectively reduces the risk of injury caused by poor working posture, while enhancing efficiency and worker well-being in industrial environments
EXPERT SYSTEM DIAGNOSIS PENYAKIT JANTUNG MENGGUNAKAN METODE RULE-BASED REASONING BERBASIS ANDROID Agif Hafizhan; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 13 No 2 (2025): Comasie Vol 13 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i2.10354

Abstract

Cardiovascular disease remains one of the leading causes of mortality worldwide, emphasizing the urgency of early detection and preventive efforts. This study presents the design and development of an expert system application for the diagnosis of heart disease using a Rule-Based Reasoning method, implemented on an Android platform. The application enables users to input symptoms and severity levels through an intuitive interface. These inputs are then matched against a knowledge base consisting of expert-defined rules to generate potential diagnostic results. The system is expected to support both individuals and healthcare workers by providing preliminary insights before further medical examination. The use of mobile technology ensures wider accessibility, real-time interaction, and ease of use. Testing results demonstrate that the application performs with satisfactory accuracy in diagnosing based on symptom patterns. Future enhancements may include integration with Certainty Factor methods or machine learning to improve diagnostic precision.
ANALISIS PERFORMA INTRUSION DETECTION SYSTEM SNORT DAN SURICATA TERHADAP SERANGAN SQL INJECTION Ramot Argenta Pasaribu, Fabian; Maslan, Andi
Computer Science and Industrial Engineering Vol 13 No 2 (2025): Comasie Vol 13 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i2.10403

Abstract

Web application security is becoming increasingly important due to the rise of threats such as SQL Injection, which exploits vulnerabilities to access sensitive data. As one of the most severe types of attacks, SQL Injection compromises the confidentiality, integrity, and access control of a system. Intrusion Detection Systems such as Snort and Suricata are used to detect and mitigate this. This study compares the effectiveness of Snort and Suricata in detecting SQL Injection using an experimental setup. The vulnerable web application (DVWA) was installed on Ubuntu, while attacks were launched from Kali Linux. Both IDS tools were configured to monitor network traffic and detect intrusions based on predefined rules. Performance was evaluated using accuracy, precision, recall, and F1 score. Suricata outperformed Snort in all metrics, Suricata also demonstrated faster detection. These results indicate that Suricata is more accurate and efficient at detecting SQL injection attacks in the test environment.
PREDIKSI IMPLAN GIGI MENGGUNAKAN ALGORITMA MACHINE LEARNING Zebua, Alisa; Handoko, Koko
Computer Science and Industrial Engineering Vol 13 No 2 (2025): Comasie Vol 13 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v13i2.10431

Abstract

Advances in digital technologies, particularly artificial intelligence (AI), are transforming healthcare practices, including dental implant decision-making. This study introduces a machine learning model utilizing the Classification and Regression Tree (CART) algorithm to estimate dental implant candidacy, drawing on anonymized patient records from Ellisa Dental Clinic, Batam. The dataset comprises various demographic and clinical attributes such as age, sex, smoking patterns, bone condition, and the presence of chronic illnesses including diabetes, hypertension, and autoimmune disorders. The exploratory analysis reveals that factors like heavy smoking, systemic diseases, and jawbone integrity substantially affect implant suitability. The quality and consistency of the dataset support robust modeling. The proposed system is intended to function as a clinical decision aid, offering dentists evidence-based recommendations regarding patient eligibility. This work demonstrates the potential of predictive analytics to enhance decision accuracy and streamline dental care, contributing to the integration of AI into routine clinical workflows.
IMPLEMENTASI RAD DALAM PENGEMBANGAN APLIKASI PENJUALAN KEBAB BERBASIS ANDROID Maulana Hakim, Muh Arif; Dasa Putri, Anggia
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.v13i3.10436

Abstract

In this digital era, technological advancements have transformed many manual activities into digital ones, making them easier to manage. One of these is in the field of buying and selling products, where before the existence of digitalization, product sales still used conventional methods, especially in recording transactions. The method of recording transactions using transaction notebooks often suffers from damage and human errors in recording transactions and consumes costs and effort. With the advent of digitalization, developing an Android-based sales application using the Rapid Application Development (RAD) method allows us to quickly build Android-based applications using the Flutter framework and design the system using Unified Modeling Language (UML) to get an overview of the system being created. By using the Android-based sales application with the Rapid Application Development (RAD) method we can understand the speed and efficiency of designing applications, and through digital-based applications, we can increase sales and reduce human errors and various unwanted incidents.
PERANCANGAN SISTEM MONITORING KELEMBAPAN TANAH PADA TANAMAN CABAI BERBASIS INTERNET OF THINGS Rajagukguk, David; Pangaribuan, Hotma
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.v13i4.10445

Abstract

Chili plants require proper and consistent irrigation to ensure healthy growth and optimal crop yields. However, in many agricultural settings, especially in small to medium-scale farming, the absence of a real-time monitoring system often leads to under-watering or over-watering. These issues can result in wilting, root damage, or even crop failure. To address this challenge, this study presents the development of a soil moisture monitoring system based on the Internet of Things (IoT). The system integrates a soil moisture sensor (YL-69), NodeMCU ESP8266 microcontroller, and the Blynk mobile application. The NodeMCU acts as the main controller that receives data from the sensor, processes it, and transmits the information to the Blynk platform via Wifi.The Blynk app provides a user-friendly interface that displays soil moisture conditions in real-time. Moisture levels are categorized into three conditions: dry (<50%), normal (50–70%), and wet (>70%). A Gauge widget shows the moisture percentage visually in analog form, while the SuperChart logs the historical moisture data. When moisture falls below 50%, the system triggers a notification alert to the user. The test results demonstrate accurate sensor readings, real-time data transmission, and effective notification delivery. Overall, this system enhances irrigation decision-making and helps farmers maintain optimal soil moisture, thereby improving the sustainability and productivity of chili cultivation.

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