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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 859 Documents
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PERANCANGAN ALAT BANTU ANGKAT HASIL PANEN BUAH NAGA YANG ERGONOMIS DI PERKEBUNAN DRAGON FRUIT FARM Rifaldi, Rifaldi Hakiki; Zet, Sri
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11190

Abstract

Manual transportation of harvested crops using conventional wheelbarrows poses a high ergonomic risk to workers due to non-ergonomic working postures. Awkward postures such as bending, shoulder elevation, and excessive load on the back and arms may lead to musculoskeletal disorders and reduced comfort and productivity. This study aims to analyze working posture risks during the crop transportation process, design an ergonomic trolley based on workers’ anthropometric data, and evaluate changes in risk levels before and after the trolley implementation. The research methods include Rapid Entire Body Assessment (REBA) to assess working postures, anthropometric measurements to determine trolley dimensions, and Ergonomic Function Deployment (EFD) to translate user requirements into design specifications. The results indicate that the initial working condition using a conventional wheelbarrow produced a REBA score of 12, classified as a very high ergonomic risk. After the implementation of the ergonomic trolley, the REBA score decreased to 1, indicating a very low risk level. In addition, the load capacity increased from 40–50 kg to 60–70 kg per transport cycle, thereby improving work efficiency. The study concludes that the ergonomic trolley effectively improves working posture, reduces ergonomic risk, and enhances comfort, safety, and work effectiveness.
EKPLORASI DATA PENJUALAN DI OTOXPERT MENGGUNAKAN ALGORITMA APRIORI Jeky, Jeky; Darmansah, Darmansah
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11210

Abstract

This study aims to explore sales transaction data of spare parts at OTOXPERT Batam usingthe Apriori algorithm to identify association patterns among products. The main problemaddressed is that transaction data, although available in large quantities, has not beenoptimally utilized to uncover relationships between spare parts, so the potential use of thesepatterns to support cross-selling activities and stock management has not been fullyrealized. The data used in this study were sales transactions from January 1 to March 31,2025. The research method includes data preprocessing, transformation of transaction datainto basket form, descriptive analysis, and the application of the Apriori algorithm usingsupport, confidence, and lift parameters. The results show that the Apriori algorithm is ableto discover frequent itemsets and association rules that describe the tendency of spareparts to be purchased together. These patterns provide meaningful information aboutcustomer purchasing behavior and can be used as supporting information in decisionmaking related to sales strategies and inventory management. Therefore, this studydemonstrates that the Apriori algorithm is effective in transforming transaction data intovaluable information for business analysis at OTOXPERT Batam.
ANALISIS PENENTUAN JUMLAH TENAGA KERJA BERDASARKAN BEBAN KERJA PADA IKM PENGRAJIN BANTAL ABC Ritonga, Robhyano; Zetli, Sri
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11217

Abstract

IKM pillow maker ABC is a business that produces various types of pillows, mattresses, and sofas using different fillings such as dacron, cotton, and foam. The pillow production station currently employs 6 workers: 1 worker for cotton grinding, feeding cotton into the machine, and packaging, 2 workers for filling cotton into the pillows, 2 workers for sewing, and 1 worker for final inspection. Based on observations, one of the main problems identified is that the demand level is significantly higher than the average daily production capacity. As a result, the current workforce is unable to complete production tasks on time, leading to delays in meeting customer orders. To address this issue, it is necessary to calculate the workload and determine the optimal number of workers required to achieve the production target. This study applies Workload Analysis and Workforce Analysis to determine the ideal workforce allocation. The results indicate that the optimal number of workers needed includes: 1 worker for cotton feeding and grinding, 10 workers for filling cotton into pillows, 11 workers for sewing, 3 workers for quality inspection, and 3 workers for packaging. By increasing the number of workers in these key areas, the company is expected to significantly improve its productivity and meet customer demand more effectively.
PENERAPAN ALGORITMA K-MEANS UNTUK PENGELOMPOKAN PADA DATA SUPERMARKET MENGUNAKAN PEMOGRAMAN PYTHON WIBOWO, RIZKY PRASTYA; Elisa, Erlin
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11287

Abstract

The rapid growth of transactional data in the retail sector, particularly in supermarkets, has resulted in large and complex sales datasets that require effective analytical methods to identify meaningful sales patterns. This study applies data mining through clustering techniques by implementing the K-Means algorithm using Python to classify supermarket sales patterns and group transactions with similar characteristics. The research methodology includes data collection, preprocessing, normalization using StandardScaler, determination of the optimal number of clusters through the Elbow Method, clustering with the K-Means algorithm, and evaluation of clustering quality using the Silhouette Score, Davies–Bouldin Index, and Inertia (Within-Cluster Sum of Squares). The results indicate that from 1,000 sales transactions, three clusters were formed, consisting of 515 transactions in the low sales cluster, 314 in the medium sales cluster, and 171 in the high sales cluster. The clustering evaluation produced a Silhouette Score of 0.6055, a Davies–Bouldin Index of 0.502, and an Inertia value of 122.01, indicating that the resulting clusters are compact and well separated. These findings confirm that the K-Means algorithm is effective for grouping supermarket sales patterns and can support sales management and strategic planning.
PERANCANGAN FASILITAS PRODUKSI TAHU YANG ERGONOMIS PADA IKM TAHU PAK SARNO Hardianto, Risky; Zetli, Sri
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11307

Abstract

Pak Sarno Tofu Factory is a small and medium enterprise (SME) in Batam City that stillapplies a semi-manual work system, particularly in the tofu whey sedimentation process.The manual scooping and handling of tofu whey using ladles and buckets potentially causemusculoskeletal complaints and reduce work efficiency. This study aims to identify the levelof Musculoskeletal Disorders (MSDs) using the Nordic Body Map (NBM), analyze workposture risk using the Rapid Entire Body Assessment (REBA) method, and design anergonomic work facility using the Ergonomic Function Deployment (EFD) method. Theresults indicate that workers experience musculoskeletal complaints in the neck, shoulders,lower back, waist, arms, wrists, and lower limbs, with the highest complaint level occurringin activities classified as high risk. REBA analysis shows that ergonomic risk levels rangefrom moderate to high, with the highest REBA score of 9 occurring during the activity ofcarrying buckets filled with tofu whey, which is classified as a high-risk activity. Based on theEFD method, an ergonomic sedimentation tool was designed in the form of a 250-literstainless steel drum equipped with a faucet system, a roller-supported table, and dimensionsadjusted to workers’ anthropometry. This design is expected to reduce physical workload,minimize MSDs complaints, and improve production efficiency.
ANALISIS PENGARUH LINGKUNGAN KERJA TERHADAP KELELAHAN KERJA BAGIAN WELDER DI PT KTU SHIPYARD TANJUNG RIAU: Fatigue; Noise; Temperature; Welder; Working environment. zico, zico fahlevy; Zetli, Sri
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11308

Abstract

Welding activities at PT KTU Shipyard Tanjung Riau are carried out in a work environmentwith relatively high exposure to heat and noise, which may potentially cause work fatigueamong welders. This study aims to determine the working environment conditions in termsof temperature and noise levels, analyze the level of work fatigue. The research method wasconducted through measurements of temperature and noise levels in the work area. Theresults showed that the working area temperature obtained an average score of 33 with apercentage of 66%, and the noise level obtained an average score of 31.6 with a percentageof 63%, indicating that welders were exposed to heat and noise conditions. The level of workfatigue was in the moderate category with an average score of 78.8 and a percentage of53%. The results of multiple linear regression analysis showed that the working areatemperature did not have a significant effect on work fatigue with a significance value of0.904 (> 0.05), while the noise level had a significant and positive effect on work fatigue witha significance value of 0.0001 (< 0.05). Therefore, noise level is the dominant factor affectingwork fatigue among welders.
RANCANG BANGUN SISTEM INFORMASI ADMINISTRASI GEREJA BETHEL INDONESIA BERBASIS WEB Simanjuntak, Asmita; Adhiatma, Novri
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11326

Abstract

The administration of church operations at GBI Shalom Piayu has historically relied on manual record-keeping, resulting in inefficiencies, data inconsistencies, and limited operational oversight. This study presents the design and implementation of a Church Information System aimed at optimizing the management of congregation data, church activities, tithes, and offerings. Employing the Waterfall development methodology, the research integrates systematic phases of requirement analysis, system design, coding, testing, and deployment. The system features online member registration, dynamic activity management, reporting, all centralized within a relational database. Performance evaluation indicates significant enhancements in operational efficiency: login is completed in under one second, member data entry requires seconds, and updates are processed within two seconds. The system substantially reduces manual workload, mitigates errors, and accelerates access to critical information. Future research is recommended to expand functionality to comprehensive financial management, advanced activity scheduling, and multi-platform accessibility via desktop and mobile applications. This study contributes a foundational framework for the digital modernization of church administration, promoting efficiency, accuracy, and scalability.
PERANCANGAN FASILITAS PENYIMPANAN MATERIAL PADA PT BRINJUTAMASAMUDRA BATAM Turnip, Fernando Putra; Sirait, Ganda
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11330

Abstract

Industrial growth in Batam City has increased rapidly, ranging from small to large scale industries, creating high levels of productivity activity. Ideally, companies must plan proper storage systems to support smooth operations. However, PT Brinjutamasamudra Batam still faces problems related to inadequate storage of tools and materials, which causes delays in work completion, difficulties for employees in accessing equipment, and potential safety risks. The company, located in Batu Aji, specializes in metal fabrication services with a primary focus on stainless steel materials. This research aims to design ergonomic storage facilities for tools and materials that match available space and storage capacity requirements. The study applies Quality Function Deployment and anthropometric approaches with 20 respondents from the turning and welding departments. Data were collected through questionnaires distributed to employees. The results produce a storage cabinet design adjusted to workers’ body characteristics using defined ergonomic parameters. The study concludes that well-organized storage cabinets, designed according to usage frequency, worker needs, and material capacity, are essential to optimize space utilization, improve efficiency, reduce work delays, and support safer and more effective industrial operations. These improvements ultimately enhance employee comfort, productivity, coordination, workflow consistency, equipment protection, and overall operational performance within the manufacturing environment
PERENCANAAN KAPASITAS PRODUKSI TAHU PADA IKM TAHU JK JAYA MAKMUR: Capacity planning; Production capacity; RCCP, Tofu production Zaenal Huda, Zufri; Aji , Bahariandi
Computer Science and Industrial Engineering Vol 14 No 01 (2026): Comasie Vol 14 No 1
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v14i01.11340

Abstract

JK Jaya Makmur Tofu Factory is a local tofu producer that still applies a manual cutting process using knives and simple tools. This condition requires high accuracy and potentially causes variations in cutting results due to worker fatigue and differences in working styles, which in turn increase workload and limit production capacity. Based on data from October 2024 to September 2025, the monthly production target of 150,000–157,000 pieces was not achieved, with actual production reaching only 130,000–140,000 pieces per month and an average achievement rate of 88%. This study aims to determine production capacity requirements, compare required capacity with available capacity, and formulate solutions using the Rough Cut Capacity Planning (RCCP) method. The results show that the required production capacity averages 20,049.5 minutes per month and remains relatively stable throughout the planning period. Meanwhile, the available capacity averages only 9,424.8 minutes per month, indicating that production capacity is insufficient. Based on the calculations, there is a shortage of production capacity, which requires the addition of one worker at each workstation and an additional one working hour per day as a solution.

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