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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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SISTEM PAKAR DIAGNOSIS PENYAKIT PADA REPTIL DENGAN METODE CERTAINTY FACTOR BERBASIS ANDROID Donny Oktavian; Annurrullah Fajrin, Alfannisa
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.v13i1.10271

Abstract

Reptiles likes turtles, snakes, and iguana are becoming popular pets due to their unique traits and easy care. However, limited information and shortage of specialized veterinarians in rural areas hinder early disease detection and management. This study develops an expert system for diagnosing reptile diseases using the Certainty Factor (CF) method on Android. The system helps pet owners recognize early symptoms and suggests initial treatments. Evaluation shows the system accurately identifies diseases based on user-inputted symptoms, with a confidence level. The CF method effectively manages uncertainty by combining values from multiple symptoms, achieving over 90% accuracy compared to manual diagnosis. The application has a user friendly interface and quick response time, but its knowledge base is currently limited and does not cover all known reptile diseases.
METODE PROFILE MATCHING SEBAGAI PENUNJANG KEPUTUSAN PEMBERIAN KREDIT PADA CV BUANA MOTOR Hendry; Erlin Elisa
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.v13i1.10272

Abstract

The credit approval process at CV. Buana Motor has traditionally been carried out manually and subjectively, which can lead to inaccuracies in decision-making. To address this issue, a decision support system is needed to assist in assessing the eligibility of prospective debtors more objectively. This study aims to apply the profile matching method as a tool to determine credit eligibility based on several predefined criteria, including income, installment amount, installment duration, type of employment, home ownership status, and length of residence. The first three criteria are classified as core factors, while the remaining three are considered secondary factors. This study uses data from 340 customers as samples. The results show that 273 customers (approximately 80.29%) were classified as eligible for credit, while 67 customers (19.71%) were deemed ineligible. These findings indicate that the profile matching method can provide systematic and objective assessment results and effectively support the credit decision-making process at CV. Buana Motor.
ANALISIS MITIGASI RESIKO OPERASIONAL BISNIS PADA PT XYZ BATAM Sry Elni Wira Yanti Gulo; Sumantika, Arsyad
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.v13i1.10282

Abstract

PT XYZ, as a logistics service provider, faces complex operational risks such as incorrect data input in the system, limited supply availability, and sudden customer demand. These risks lead to delivery delays, inaccurate information flow, and decreased operational efficiency. This study aims to identify and analyze operational risks and develop appropriate mitigation strategies. The methods used include the Supply Chain Operations Reference (SCOR) model to map the supply chain processes (plan, source, make, deliver, and return), and the House of Risk (HOR) Phase 1 and 2 to identify the relationship between risk events and risk agents, determine risk priorities based on the Aggregate Risk Potential (ARP), and formulate mitigation strategies using the Effectiveness to Difficulty Ratio (ETD). The results show that there are 16 risk events and 17 risk agents, with 3 risk agents identified as top priorities. A total of 11 mitigation strategies were proposed, including the implementation of an ERP system, integration of an Early Warning System, and strengthening of human resource competencies. These strategies are expected to reduce recurring risks and support the sustainable improvement of PT XYZ’s operational performance.
ANALISIS PENGENDALIAN KUALITAS PRODUK PIVOT PLATE PADA PROSES ASSEMBLY DI PT SIMATELEX MANUFAKTUR BATAM Ritonga, Bintang; Sirait, Ganda
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.v13i1.10284

Abstract

PT Simatelex Manufacturing, located in Batamindo Industrial Park, Batam, specializes in producing household appliances, beauty tools, and robotics. Among the key components they assemble is the pivot plate, which which works as a filter, opener, pod wrapper, and hot water channel. The issue explored in this research is the defect rate of pivot plates, which often surpasses the company’s acceptable limit of 1%. The goal of this study is to assess the pivot plate’s quality, uncover the root causes of defects, and offer solutions to minimize them. To do this, researchers used the Failure Mode and Effect Analysis (FMEA) method, along with supporting tools such as the 5W+1H approach, P charts, and a fishbone diagram. The analysis revealed several main causes: overheating machines (RPN 288), workers rushing during tasks (RPN 192), product build-up (RPN 150), inefficient workstation layout (RPN 180), and fragile materials (RPN 144). To reduce these issues, the study suggests routine machine maintenance, clear work instructions, improved layout planning, and material inspections every two hours by QC. These strategies aim to lower the defect rate and enhance the overall quality of the pivot plate, contributing to better production performance.
ANALISIS PENGENDALIAN PRODUKSI DAN PERSEDIAAN PRODUK DONAT PADA UKM DONAT NB Tarihoran, Rifka; Prasetyo, Bahariandi Aji
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.v13i1.10291

Abstract

UKM Donat NB merupakan usaha kecil menengah yang bergerak di bidang produksi donat. Permintaan donat di UKM Donat NB sangat fluktuatif, sehingga sering kali terjadi kelebihan stok atau kehabisan stok. Penelitian ini bertujuan untuk menentukan metode peramalan terbaik dan menghitung kebutuhan bahan baku menggunakan metode Economic Order Quantity (EOQ), Safety Stock, dan Reorder Point (ROP) untuk mengoptimalkan pengendalian persediaan. Metode peramalan yang digunakan dalam penelitian ini adalah Moving Average (MA), Weighted Moving Average (WMA), dan Holt-Winters, dengan uji akurasi menggunakan MAD, MSE, dan MAPE berdasarkan data permintaan dari April 2024 hingga Maret 2025. Hasil penelitian menunjukkan bahwa metode Holt-Winters merupakan metode yang paling akurat, dengan tingkat kesalahan terendah. Peramalan permintaan donat untuk empat bulan mendatang diperkirakan sebesar 33.374 pcs pada bulan April, 27.570 pcs pada bulan Mei, 23.672 pcs pada bulan Juni, dan 21.306 pcs pada bulan Juli. Berdasarkan perkiraan tersebut, perhitungan EOQ, Safety Stock, dan ROP dapat menjadi acuan dalam menentukan jumlah dan waktu pemesanan bahan baku, sehingga perusahaan dapat meminimalisir risiko terjadinya kelebihan stok maupun kekurangan stok.
ANALISIS PENGENDALIAN KUALITAS PRODUK PADA PT XYZ Toni Parindo Rumapea; Arsyad Sumantika
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.v13i1.10315

Abstract

Quality control is important to maintain the company's position in the eyes of consumers. PT XYZI is a company that produces electronic devices, one of the products has a defect rate that exceeds the company's target, the company's target for defective products is 2% and it is known that the highest defect percentage is 6.28% during the period April 2024 to March 2025. This study aims to as to provide improvement solutions.The research method used is Failure Mode and Effect Analysis (FMEA) to determine the severity rating, Occurance, detection and RPN calculation. The next stage uses Root Cause Analysis (RCA) to identify the root cause of the defect from the highest RPN value. Based on the results of the study, the failure mode from the calculation of the highest RPN value of 378 is the tombstone defect, the RPN value of 315 is the no wetting defect. The improvement solution for tombstone defects is special training for technicians to make machine adjustments. The improvement solution for the no wetting defect is an increase in operator accuracy in checking the pcb after printing.
RANCANG BANGUN APLIKASI E-FACILITY PLANT BERBASIS LARAVEL DI PT PHILIPS INDUSTRI BATAM Khisal; Saragih, Saut Pintubipar
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.v13i1.10319

Abstract

This research addresses the challenges of conventional facility reporting and inspection at PT Philips Industri Batam, characterized by slow data access, limited real-time monitoring, and hindered decision-making. The primary objective was to design and develop an E-Facility web application utilizing Laravel and Filament to digitalize facility management and provide real-time monitoring capabilities. Employing a Research and Development (R&D) methodology , the study involved comprehensive analysis, system design (including UML modeling), implementation, and rigorous testing through Black Box and User Acceptance Testing. The research findings demonstrate significant improvements in operational productivity. Notably, login time reduced to 5 seconds, and data input time decreased from 1 minute to 10 seconds. Data accuracy significantly improved, with data availability transforming from hours of physical search to under 5 seconds. Furthermore, the system optimized resource utilization, leading to nearly zero paper usage for forms and reducing report generation time from hours to minutes. This indicates a potential 15-25% reduction in overall operational costs. In conclusion, the E-Facility application successfully digitalized the facility management process, offering an optimal, precise, and responsive solution in line with Industry 4.0 digitalization initiatives.
ANALISIS PENGENDALIAN KUALITAS PROSES WIREBOND ALU PADA PT. XYZ BATAM Audita S; Arsyad Sumantika
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.v13i2.10321

Abstract

This study was conducted at PT. XYZ Batam to analyze defects in the aluminum wire bonding process using the Orthodyne 7200 machine. The objective is to identify the most frequent defects, determine their root causes, and provide improvement recommendations. The methodology applied includes Failure Mode and Effect Analysis (FMEA) to calculate the Risk Priority Number (RPN), and Fault Tree Analysis (FTA) to trace the root causes. The results indicate that defects such as Lifted Bond on Die and Non-Stick Wedge on Lead have the highest RPN scores. The main contributing factors are suboptimal machine parameters, including bonding pressure, temperature, and ultrasonic frequency. Recommended improvements focus on better parameter control and enhanced operator training. This study is expected to support the company’s goal of achieving through more effective process control.
ANALISIS RISIKO KESELAMATAN DAN KESEHATAN KERJA SECTION BTS LINE PADA PT XYZ Ridho Pratama, Ihsan; 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.v13i2.10324

Abstract

This study aims to analyze potential occupational health and safety (OHS) risks in the BTS Line section of PT XYZ using the Hazard and Operability Study (HAZOP) and Fault Tree Analysis (FTA) methods. Based on workplace accident data from 2021 to 2024, frequent incidents include finger pinching, hand scratches, foot injuries, and burns. The identification process revealed 10 work risk activities with varying levels, with 58.82% categorized as high risk and 5.88% as extreme risk. FTA analysis showed that the main causes of accidents stem from human error, improper use of personal protective equipment (PPE), and suboptimal equipment design. This research recommends risk control measures through engineering controls, administrative controls, and routine employee training. The implementation of these strategies is expected to reduce workplace accidents and create a safer and more productive working environment.
KLASIFIKASI OPINI PENONTON FILM PADA PLATFORM STREAMING VIDEO DENGAN ALGORITMA NAIVE BAYES Alita Tiffana; Elisa, Erlin
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.v13i2.10328

Abstract

Video streaming platforms have become an essential component of contemporary society since they offer flexible access to entertainment. However, opinions about these programs are still divided, with some members of the public being more supportive than others. This study aims to categorize viewer attitudes toward video streaming services, specifically Netflix and Disney+, into three groups: good, negative, and neutral. The strategy used is the Naïve Bayes Algorithm, and web scraping techniques are used to collect user comment data from the Google Play Store. Preprocessing, data labeling, classification, and model evaluation using metrics like accuracy, precision, recall, and F1 score are all part of the analytical process.The results of the investigation showed that the Gaussian Naïve Bayes generated an accuracy of 43.52% for Disney+ and 41.99% for Netflix. This study shows that automated public opinion analysis is initially feasible, despite its current low degree of accuracy. Disney+ technically does better in classification, while Netflix gets more favorable reviews based on user assessments based on ratings. It is hoped that this research will provide the basis for more accurate opinion analysis instruments in the future.

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