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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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IMPLEMENTASI JARINGAN LORA DALAM MONITORING OIL TRAP BERBASIS IOT MENGGUNAKAN METODE RESEARCH AND DEVELOPMENT Mukhsinin, Nuriel; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 11 No 1 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i1.9016

Abstract

The shipyard industry is inseparable from work activities using liftting and heavy equipment and is related to liquid oil waste and oil waste treatment system, Oil traps in this case are in line with the SDGS goals in sustainable development to protect the environment. In the object of research, the oil trap system that runs is still done manually both in terms of monitoring and controlling the oil, there is need a technology that able to detect oil in real time based on the Internet Of Things, in this modern era the Internet Of Things has become very common in monitoring and control, another problem is the shipyard industry in the object of research has a very large working area, therefore long range network technology will be the best solution to solving this problem, this study aims to create a system that is able to monitor and ensure the oil trap system runs optimally and realtime in controlling liquid waste in a large work area with the implementation of the Internet Of Things-based LoRa network. Research and Development method used in this research in designing, developing, and testing oil trap monitoring systems is very suitable, effective and efficient. The system consists of LDR and Ultrasonic sensors connected via LoRa network using SX1278 module to send real-time data to Telegram bot. The test results show that the developed monitoring system is able to detect and transmit oil trap condition data accurately, with a wide transmission range. from these results, it can be concluded that the implementation of the LoRa network in Internet Of Things-based oil trap monitoring is effective and reliable. This research is expected to contribute to the development of environmental monitoring technology.
ANALISIS PEMILIHAN PEMASOK BAHAN BAKU DI UKM ANANDA BROWNIES Alfianando; Elsya Paskaria Loyda Taringan
Computer Science and Industrial Engineering Vol 11 No 3 (2024): Comasi Vol 11 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v10i3.9018

Abstract

Ananda Brownies, a Small and Medium Enterprise (SME) that produces brownies, uses the Analytical Hierarchy Process (AHP) method. The main issues discussed include quality inconsistencies, delivery delays, supplier responsiveness, and price fluctuations. This research aims to analyze the supplier selection process at Ananda Brownies and provide practical guidelines for similar SMEs to improve effective and sustainable supply chain management. The research methodology involves data collection through interviews, observations, and questionnaires, followed by data analysis using AHP to determine the best suppliers based on the weight of criteria and sub-criteria. The main prioritized criteria are quality, delivery, price, and responsiveness. The analysis results identify Toko Bahan Kue Legenda as the main supplier with the highest weight. Recommendations include prioritizing this supplier, while future research is suggested to explore other methods or combine AHP with other techniques.
ANALISIS PENGENDALIAN KUALITAS PRODUK BRACKET PADA PT THREE CAST INDONESIA damanik, Alan Nuari Damanik; sumantika, aryad
Computer Science and Industrial Engineering Vol 11 No 1 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i1.9020

Abstract

This study aims to identify the underlying cause of the issue at PT Three Cast Indonesia, ascertain the impact of quality control measures on product defects at PT Three Cast Indonesia, and ascertain the outcomes of implementing six sigma techniques in PT Three Cast Indonesia's quality control of bracket products. The technique is an analogous application of DMAIC and other Six Sigma method concepts. The findings indicate that the most common types of defects found in the bracket are air holes, dimension out, scratches, and dents (CTQ). DPMO computation using a 250 defect average. This indicates that there might be 250 problems in every million product units. Level Sigma The bracket manufacturing process operates at 2.174 sigma, or level 4. To eventually achieve a growing Sigma level pattern and a lowering DPMO pattern, the process must still be continually managed and improved. In the DMAIC analysis, the primary sources of product faults are personnel, equipment, processes, and raw materials. People, equipment, procedures, and materials are the sources of probable faults in the RCA analysis quality control of bracket products.
ANALISIS PENGENDALIAN KUALITAS PRODUK KEBAYA DI UKM MARSADA SONGKET KEBAYA DAN TAILOR Giro, Monica; Sumantika, Arsyad
Computer Science and Industrial Engineering Vol 11 No 2 (2024): Comasie Vol 11 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i2.9024

Abstract

Marsada Songket Kebaya and Tailor is a business engaged in convection in the form of services that are still classified as micro that produce products in the form of kebaya and songket. The purpose of this study is to identify the factors that cause defective products in the production process, find out the types of defects that occur and make recommendations for improvement. The methods used are Define, Measure, Analyze, Improve, Control (DMAIC) and Failure Mode and Effect Analysis (FMEA). Based on the results of the study, the defects that occurred in Marsada Songket kebaya and Tailor were sewing defects, accessories defects and fabric defects. The recommendation for improvement is to set SOPs in accordance with work standards so that they can be carried out more efficiently and effectively.
PENGEMBANGAN PRODUK TEMPE DI UKM "TEMPE TITIK 2" Solikhi, Mohammad Whildhan; Sumantika, Arsyad
Computer Science and Industrial Engineering Vol 11 No 1 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i1.9026

Abstract

Tempe is one of the original Indonesia folk foods that is starting to become popular in the world. The tempe processing industry is classified as a micro, small and medium industry. In the face of increasingly tight business competition, companies are required to continue to develop in order to be able to face existing competition. SMEs in Batam City, precisely in Kav Sei Lekop Kec. Sagulung, a business operating in the food processing industry, uses soybeans as raw materials which are processed into tempeh. The aim of this research is to analyze the development of tempeh products using the QFD (Quality Function Deployment) method. The subjects of this research are the parties involved in Tempe Titik 2 UKM and their consumers. Determination of sample size using the Slovin formula. Based on the results of the data and analysis, it is known that there are 8 attributes that consumers want, while the HOQ (House of Quality) results on the customer needs indicator obtained the largest value, namely the value of tempeh availability. product, while the functional indicator that obtains the greatest value is the form value. and the size of the tempeh product is as expected and UKM "Tempe Point 2" must add or change the shape and size of the tempe product, in order to be able to compete in the market and meet consumer demand.
IMPLEMENTASI DATA MINING PADA PREDIKSI PENJUALAN PRODUK TERLARIS DENGAN METODDE K-NEAREST NEIGHBOR Pratama, Khevind Adrian; Koko Handoko
Computer Science and Industrial Engineering Vol 11 No 4 (2024): Comasi Vol 11 No 4
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i4.9028

Abstract

Jesindo Mitra Prakarsa stores in Batam City include stores that offer a range of toys for kids. Lack of information about which items clients buy frequently or infrequently leads to an overabundance of inventory, which is a common issue for the store selling toys. Therefore, a projection that makes use of data or historical sales information is needed to assist the store in stocking the goods. The goal of this study is to use the K-Nearest Neighbor algorithm to predict the sales of the most popular toys among kids in Jesindo Partners Prakarsa stores. Data will be gathered through observation techniques, in-store interviews, and literature reviews relevant to the study's subjects. In order to forecast sales for the following month, the author used the Euclidean Distance formula with a value of k=3 and RapidMiner software to predict sales of the best-selling product, Tricycle Happy. The formula had a target of seven products, but it was predicted to sell as many as six. Based on the results of RMSE testing, which showed a value achieved close to zero at 2.035 +/- 0.000 means, the author's algorithm matched or was effectively applied to this study.
PREDIKSI PENJUALAN DISTRIBUTOR CV. LESTARI MANDIRI JAYA MENGGUNAKAN METODE FUZZY MAMDANI Seven, Sevrius Ndruru; Koko Handoko
Computer Science and Industrial Engineering Vol 11 No 2 (2024): Comasie Vol 11 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i2.9029

Abstract

Distribution firms frequently encounter difficulties in forecasting distributor sales due to the absence of a well-organized and precise prediction system. Inaccurate sales forecasts can result in issues that disturb business operations. The objective of this study is to identify sales data variables through fuzzy Mamdani calculations to forecast distributor sales for the company. To solve the sales prediction challenge, this research utilizes MATLAB software. Numerical data is vital in data processing as the fuzzy Mamdani logic method necessitates numerical data for processing in MATLAB. Once the data conversion process is finished, the subsequent step is to implement it in MATLAB to derive research findings that involve input and output variables. Tests were performed using two approaches: manual calculations and MATLAB. In every test, both manual and MATLAB methods were employed for defuzzification. The findings from both methods showed a sales increase with the same value of 85, indicating consistency between the methods and validating the accuracy of the implemented fuzzy model. Utilizing the fuzzy Mamdani method and MATLAB implementation allows companies to forecast distributor sales with greater precision. This analysis assists companies in recognizing sales trends and developing effective strategies to boost distributor sales.
SISTEM INFORMASI ABSENSI MENGGUNAKAN TEKNOLOGI RFID DI CV MULTI KARYA MITRA BERBASIS WEB ROPIKA AYU YOLANDA; Darmansah
Computer Science and Industrial Engineering Vol 11 No 1 (2024): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i1.9035

Abstract

In previous research that the author conducted on practical work implementation, the author created a system that can carry out attendance using Radio-Frequency Identification (RFID) which will read each RFID Identification (ID) or Unique Identifier (UID) owned by each employee. The UID has previously been stored in the program so that it can be detected when it is registered. However, this system has a few shortcomings, namely that it has not been integrated with each other between the main office and branch offices, so the existing systems still stand alone. Apart from that, the monthly absenteeism recapitulation process is also not optimal because it cannot automatically calculate the number of attendances for each employee. Given the problems above, the author developed a system that had previously been created by integrating the two attendance devices with a Web-based database system so that the attendance data for each employee would be directly stored in the database. This data will later be used to facilitate monthly recapitulation for each employee. By integrating the device with a database, the storage carried is not easily lost, so it can be used at another time
IMPLEMENTASI DATA MINING UNTUK MEMPREDIKSI PENJUALAN PRODUK TERLARIS PADA PETSHOP MENGGUNAKAN ALGORITMA NAIVE BAYES Gaho, Ibrani; Andi Maslan
Computer Science and Industrial Engineering Vol 11 No 2 (2024): Comasie Vol 11 No 2
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v11i2.9041

Abstract

In recent years, the petshop industry has seen a significant increase. This is due to people's growing awareness of pet welfare and the need for specialized products for them. Product sales in petshops are not only influenced by customer preferences, but also by the diversity of pet breeds, which makes data collection and product stock management more complex. Therefore, predicting the products that are most in demand by customers is important. Data mining, as a part of computer science that focuses on extracting information from data, offers an effective way to analyze patterns and trends of product sales in petshops. In this study, Naive Bayes algorithm is used to predict the best-selling products in petshop. RapidMiner software was used to process the data in this study. Data processing with RapidMiner resulted in a prediction accuracy of 90.41%. Class precision for the prediction of hot-selling products is 88.24%, while for non-selling products is 90.00%. Class recall for the prediction of hot-selling products reaches 90.91%, while for products that are not in demand reaches 92.31%.
IMPLEMENTASI METODE TOPSIS UNTUK PENENTUAN PROGRAM STUDI DENGAN UJIAN TULIS BERBASIS KOMPUTER Pardede, Grace Theresia; Rika Harman
Computer Science and Industrial Engineering Vol 11 No 3 (2024): Comasi Vol 11 No 3
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v10i3.9045

Abstract

Determining the right study program for prospective students is a very important first step in the higher education journey. Along with technological developments, the computer-based written examination (UTBK) method has become an increasingly popular and efficient choice for college entrance selection. This research aims to implement the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method in determining study programs for UTBK participants. The TOPSIS method was chosen because of its ability to accommodate various complex assessment criteria and provide more objective results. This research uses UTBK score data from several participants as a case study. Criteria considered include subject grades, participant interests, and study program capacity. Each criterion is given a weight according to its level of importance.The research results show that the TOPSIS method is able to provide study program recommendations that suit the profile of each participant effectively. It is hoped that the implementation of this method can help universities in selecting study programs more accurately and fairly, as well as assisting prospective students in choosing study programs that suit their potential and interests.

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