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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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PENERAPAN METODE PROFILE MATCHING DALAM PEMILIHAN PRODUK PELEMBAB SOMETHINC UNTUK KONDISI KULIT NORMAL TO OILY Wilianti, Livia; Elisa, Erlin
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.v13i3.10449

Abstract

This study addresses the core issue of consumers experiencing difficulties in selecting suitable moisturizer products for normal to oily skin, amidst the rapid growth of the skincare industry in Indonesia. The objective of this research is to calculate the gap between the ideal and actual profiles in order to identify the degree of compatibility based on predefined criteria, as well as to determine the relevant attributes involved in forming both profiles. The research employs the Profile Matching method as the primary approach to analyze the alignment between product alternatives and the ideal consumer profile. The research design includes the identification of research type, determination of population and sample, data collection procedures through online questionnaires, and data analysis methods. The findings indicate that the Profile Matching method is effective in identifying the most suitable moisturizer product from the Somethinc brand for normal to oily skin. The analysis produces a ranking of products based on the total scores calculated, assisting users in understanding product suitability, effectiveness, and usage behavior. A small or zero gap between the ideal and actual profiles signifies a high degree of compatibility, demonstrating that this method is capable of providing accurate product recommendations. The key aspects contributing to profile formation include product suitability (skin type, skin reaction, product match), usage behavior (frequency of use, awareness of skin type, intention to continue usage), and product effectiveness (variants tried, perceived improvements, and product knowledge).
ANALISIS SENTIMEN KEPUASAN PELANGGAN TRANSPORTASI ONLINE PADA GRAB MENGGUNAKAN SUPPORT VERCTOR MACHINE Sitanggang, Denny; Pangaribuan, Hotma
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.v13i2.10452

Abstract

Online transportation services such as Grab have become an essential part of urban mobility in Indonesia, generating a wide range of user reviews that reflect levels of satisfaction. This study aims to analyze the sentiment of these reviews using the Support Vector Machine (SVM) algorithm. Data were collected from the Google Play Store and processed through several stages, including text preprocessing, automatic labeling based on rating scores (≤3 as negative, ≥4 as positive), and feature representation using the Term Frequency–Inverse Document Frequency (TF-IDF) method. The dataset was split into training data (80%) and testing data (20%), and the SVM model was trained using a linear kernel. Evaluation results showed an accuracy of 82%, precision of 84%, recall of 78%, F1-score of 79%, and an AUC of 0.9015. Further analysis of negative reviews revealed that the aspects of “drivers,” “application,” and “payment” were the main sources of complaints. These findings demonstrate the effectiveness of SVM in sentiment classification and its potential as a data-driven service evaluation tool. The study also recommends manual labeling or semantic-based approaches to address inconsistencies between review scores and content.
ANALISIS PENGENDALIAN KUALITAS PRODUK CABLE PADA PT AMBER KARYA Muhammad Ramadhan; Arista, 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.v13i3.10466

Abstract

PT Amber Karya is a manufacturing that produces cable as sembly wire harness for industry and households. Types of cable wire harness that are produced such as High Definition Multimedia Interface (HDMI) cables, Universal Serial Bus (USB) and Local Area Network (LAN) cables. Based on the data obtained, production using the LAN cable type Extrusion machine has a defect rate exceeding the tolerance limit reaching 6,169 or 8.23%. The purpose of this to calculate the most defects and the factors that cause defects to appear and provide the best proposal to reduce defects so as to improve the quality of the cable. The sigma method is the approach that is employed with five stages, namely the DMAIC phase, Define, measure, Analyse, Improve, and Control. The results showed that after implementing improvements the defect rate became 2,107 or 2.8%. The sigma level improved from 2.9 (82,253) to 3.4 (28,092). So That, the quality of cable can be improved.
PERANCANGAN ANIMASI 3D EDUKATIF TENTANG MODUS PENIPUAN WHATSAPP DENGAN METODE MDLC: Studi Edukatif Menggunakan Pendekatan Multimedia Development Life Cycle (MDLC) Putra Kang, Anugerah; Fauzi, Rahmat
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.v13i4.10470

Abstract

Phishing scams on WhatsApp have become increasingly common, targeting users with deceptive messages to steal personal data. To help address this issue, this study presents the design of a 3D educational animation developed using the Multimedia Development Life Cycle (MDLC) framework, which consists of concept, design, material collection, assembly, testing, and distribution stages. The animation aims to raise awareness among young social media users, especially those aged 15–25, who are considered highly vulnerable to such threats. The animation was published on YouTube and evaluated through both audience feedback and a Likert-scale questionnaire distributed to 25 respondents. Within 28 days, the video gained 456 views, 77 likes, and 122 comments, reflecting a positive initial reception. The questionnaire yielded an average score of 4 out of 5, indicating favorable responses regarding animation quality, character design, and message clarity. Technical assessments using MediaInfo and VLC Media Player confirmed the animation’s smooth performance in terms of visuals and audio. Overall, the results demonstrate that the 3D animation effectively delivers educational content and has the potential to serve as a useful media tool to increase public understanding of phishing tactics on messaging platforms
DETEKSI SERANGAN MALWARE MENGGUNAKAN METODE SUPPORT VECTOR MACHINE Simbolon, Hery Sanjaya; 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.v13i2.10478

Abstract

The rapid development of information technology has increased the potential for threats to system security, one of which is malware attacks. Malware is malicious software that has the ability to disrupt, damage, or steal computer system data without user knowledge. To prevent further damage to the system, malware activity detection is very important. The purpose of this study is to create a classification model that can identify malware attacks based on the behavior of operating system processes when using the Support Vector Machine (SVM) method. The dataset used has 100,000 data entries that have 33 attributes that indicate process activity such as CPU usage, memory, and context shifts. Data is divided into training data and test data, exploratory data analysis (EDA) to understand data characteristics, data preprocessing to clean and standardize attributes, feature selection based on correlation to reduce model complexity, and development and training of a classification model using SVM with a linear kernel. Using a confusion matrix and evaluation metrics such as accuracy, precision, recall, and F1 score, the model is evaluated. Test results show that the developed SVM model performed very well, with an accuracy of 99.57%, a precision of 99.76%, a recall of 99.38%, and an F1 score of 99.57%. This model also distinguished malware processes from normal processes with a very small number of misclassifications. The results indicate that SVM can perform malware detection based on the behavior of system processes quite well. This research can contribute to the development of automated security systems that can detect threats in real time and help strengthen system defenses against cyberattacks.
ANALISIS PENGENDALIAN KUALITAS PRODUKSI DEPARTEMEN HIGHSPEED PADA PT VOLEX INDONESIA Simanjuntak, Debora; Aji Prasetyo, Bahariandi
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.v13i2.10483

Abstract

Product quality is a crucial factor in maintaining a company's competitiveness in the market. Therefore, production quality control is crucial to ensure each product meets established standards. This study aims to analyze the factors causing product defects and implement solutions to improve quality and reduce rework. The quantitative method used is the Six Sigma approach with the DMAIC (Define, Measure, Analyze, Improve, Control) stages. The results show that the dominant types of defects include pad lifted, solder wire lifted, and solder bending, which contribute significantly to product rejection and rework. Based on Nvidia's 2024 production data with a total output of 900,000 units and a total of 85,487 defects, the DPMO value was obtained at around 333,300, indicating a sigma level in the range of 3, far from the Six Sigma target (3.4 DPMO). Analysis using a fishbone diagram identified the causes of defects originating from human, machine, material, method, measurement, and environmental factors. Problems included a lack of discipline, suboptimal machine conditions, inappropriate raw materials, the absence of written SOPs, and an unsupportive work environment. The implications of these findings form the basis for continuous improvement in the company's quality control system.
ANALISIS TOTAL PRODUCTIVE MAINTENANCE (TPM) PADA MESIN EKSTRUDER DI PT VOLEX BATAM Zulhamdi, Tommy; Sirait, Ganda
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.v13i3.10486

Abstract

At PT Volex Batam, the ekstruder machine is an integral part of the cable production process, used for the extrusion of cable insulation and protective layers. This machine plays a vital role in production; however, during the period of September 2024 to February 2025, a total downtime of approximately 194.4 hours was recorded, which disrupted production and caused delivery delays. This study aims to measure the effectiveness level of the ekstruder machine using the Overall Equipment Effectiveness (OEE) indicator and to identify the factors contributing to the high frequency of machine failures. The methods used in this research are OEE calculation and Six Big Losses analysis. The results show an average OEE value of 73%, which is below the ideal standard of ≥85%. The OEE components include availability at 88%, performance rate at 91%, and quality rate at 90%. The major losses come from equipment failure losses (9.6%), defect losses (8.8%), and idling & minor stoppages (5.1%). Based on the fishbone analysis, four main causes were identified: operator skills, inconsistent SOPs, worn-out machine components, and unstable environmental conditions. The proposed improvements focus on operator training, the implementation of preventive maintenance, and improvement of the working environment.
ANALISIS PERBAIKAN KUALITAS PROSES PEMBUATAN TAHU PADA UKM TAHU JK Tampubolon, Grace Elisabeth; Fajrah, Nofriani
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.v13i3.10491

Abstract

JK Tofu SME still faces obstacles in meeting market demand due to wasteful activities in the production process, such as excessive soybean soaking time and inconsistent and unmeasured yeast addition. This study aims to identify factors affecting tofu production process quality and process requirement standards. The methods used are quantitative approaches through DPMO calculations, Value Stream Mapping, and QFD. The results show that the production process still has defects such as dirty, smelly, and soft tofu. Current Value Stream Mapping analysis indicates low efficiency with a PCE of 51.67% and non-value-added time (NVA and NNVA) of 290 minutes. After improvements through Future State Mapping, the PCE increased to 71.26% and the total process time decreased to 435 minutes. The average DPMO of 33,333.33 with a sigma level of 1.933 indicates that quality is still far from Six Sigma standards. Through QFD Levels 1–3, consumer needs are translated into technical specifications, product characteristics, and production process requirements. Specifications such as ingredient composition and cooking processes influence product quality, while integration across QFD levels strengthens quality control. QFD provides strategic and operational guidance for continuous product quality improvement. This study shows that analyzing the causes of waste can affect product quality and that it is necessary to determine process requirement standards.
PENGUKURAN BEBAN KERJA DALAM PENENTUAN JUMLAH TENAGA OPERATOR PRODUKSI DI PT XYZ Silitonga, Jaka Putra Iman Kristian; Arista, 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.v13i3.10493

Abstract

PT. XYZ adalah perusahaan yang bergerak di bagian perakitan kabel listrik. Pada department powercord ditemukan masalah berupa penumpukkan bahan di beberapa stasiun kerj yang menyebabkan ketidakseimbangan beban kerja antar operator sehingga tidak tercapainya target produksi. Penelitian ini bertujuan menentukan waktu baku proses perakitan kabel listrik pada operator produksi di PT. XYZ serta menghitung jumlah tenaga kerja operator tepat. Penelitian ini menggunakan metode Work Load Analysis (WLA) dan Work Force Analysis (WFA). Metode WLA menganalisis beban kerja tiap stasiun, sedangkan WFA menentukan kebutuhan tenaga kerja berdasarkan beban kerja tersebut. Hasil menunjukkan dari seluruh 10 stasiun kerja pada stasiun inner connector, inner plug, crimping plug, crimping connector, molding 1, molding 2, hippot 1,molding connector, hippot 2, dan binding memiliki waktu baku > 132,21 detik maka terdapat nilai WLA sebesar > 1,42, mengindikasikan beban kerja melebihi kapasitas ideal tenaga kerja, sehingga terjadi kelebihan beban konsisten. Perhitungan WFA memiliki nilai > 1,559 hal ini mengungkapkan kebutuhan 2 orang operator per stasiun, total 20 orang untuk 10 stasiun, sedangkan tenaga kerja aktual hanya 10 orang. Kondisi ini menyebabkan kekurangan tenaga kerja 50%, mengakibatkan sistem kerja belum optimal. Penelitian menyimpulkan perlu perbaikan jumlah tenaga kerja, standarisasi metode kerja, pengaturan ulang distribusi beban, serta pengawasan absensi dan efisiensi guna meningkatkan produktivitas dan kualitas produksi di PT. XYZ.
ANALISIS PENGENDALIAN KUALITAS PRODUK BATAKO PADA PT BODEM MAS JAYA Ardianto, Pujo; Prasetyo, Bahariandi Aji
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.v13i3.10495

Abstract

PT Bodem Mas Jaya is a company engaged in the production and distribution of concrete blocks in Batam City. From December 2023 to November 2024, the company faced quality control issues, with the defect rate consistently exceeding the maximum allowable limit of 3%. This affected the company’s ability to meet market demand optimally. This study aims to analyze quality control in the concrete block production process and evaluate the results of implemented improvement initiatives. The method used is Six Sigma with the DMAIC (Define, Measure, Analyze, Improve, Control) approach. The analysis showed that before improvements, the production process had an average DPMO of 20,510.7 with a sigma level of 3.54, and the number of defective products reached 14,395 pcs out of a total output of 132,517 pcs. After implementing improvements such as morning briefings, SOP development, sand filtering, machine maintenance, and cleaning of the production area, process performance improved. The average DPMO decreased to 17,004.8, the sigma level increased to 3.62, and the percentage of good products rose to 95% – 99%, with the number of defective products reduced to 6,200 pcs out of a total output of 121,622 pcs during the period from December 2024 to May 2025.

Page 82 of 84 | Total Record : 839

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