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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 KEAMANAN JARINGAN MENGGUNAKAN PORT KNOCKING Mendrofa, Yuniaman; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 9 No 7 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i7.7890

Abstract

Technological advancements continue to progress rapidly, allowing experts to enhance their knowledge across various industries, including health, network security, and others. PT Air Batam Hulu is a water company situated at Building A-WTP Moya Muka Kuning Jl. Letjend Supranto in Batam, responsible for managing the security of drinking water. However, the company's existing system is susceptible to data security breaches due to unauthorized hacking attempts. In addition, computer network systems face both physical and logical threats, such as Sniffer, Spoofing, Preaking, Remote Attack, Hole, Hacker, Cracker, and more. Among the current successful hacking attempts, UML sites, Malware, Trojans, Viruses, and port scanning are commonly encountered. To address security concerns, the company implements a security system called "port knocking," which involves opening or closing access to specific ports through the use of a firewall on network devices. This system works by sending certain packets or connections, including TCP, UDP, and ICMP protocols. To gain access to restricted ports, users are required to perform a "knocking" action by inputting the necessary rule beforehand. This ensures that only authorized users can access and use specific ports, enhancing data security and reducing the risk of unauthorized infiltration.
PENDEKATAN DATA MINING UNTUK MEMILIH PRODUK TERLARIS MENGGUNAKAN ALGORITMA NAIVE BAYES Rajagukguk, Hidup Perjuangan; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 9 No 7 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i7.7892

Abstract

Technological advances today can be exploited to process data into more useful information. In data collection, information collection is especially useful to maximize profits and develop marketing strategies. One way to increase profits is by using data mining techniques to help business actors in making decisions about stocks, increased profits and more. The Matahari Department Store is the largest retail platform in Indonesia, one of the retail stores located in Batam is the Matahari Department store Nagoya Hill Batam. The transaction data on the store that is still processed does not use a method that causes the processing of product sales data to be less effective and less efficient. Seeing from the number of transactions, a system is needed to predict the sale of the best-selling product as long as it can determine the correct stock for the products sold and can increase the profit, sale and purchase of the product. This research was conducted with the aim of applying data mining methods using the Naive Bayes Classifier algorithm to select the best-selling products in the outlet of the Matahari Nagoya Hill Batam Department Store. By using the collected sales data, the system is expected to increase profits steadily and avoid shortages of product stocks. Through analysis using the Naive Bayes Classifier method, the study achieved an accuracy of 67% and obtained a bag sales result to be the best-selling sale during January 2023 through March 2023 with a sales percentage of 20%.
RANCANG BANGUN SISTEM INFORMASI KEHADIRAN TERINTEGRASI BERBASIS WEB Dipati, Angga; Amrizal, Amrizal
Computer Science and Industrial Engineering Vol 9 No 7 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i7.7904

Abstract

Attendance is an important factor for an institution, especially in the field of education, in order to achieve goals related to student discipline.There are many ways to improve the attendance information system to make it better, one of which is by using computer technology through a website-based integrated attendance system. At the MSI Imadun Ghoffar Batam school, currently they still use the manual method in the attendance system, namely by recording student attendance using a book. This method is less efficient because if the attendance book is lost or exposed to water, it will inconvenience the school and harm students. In addition, the risk of errors and loss of attendance data is also greater.Based on the problems above, we have created an attendance system at MSI Imadun Ghoffar that is integrated web-based. This system is used by parents and homeroom teachers respectively. The research method used in data collection is research and library methods. Software development uses the waterfall method. By using an integrated web-based attendance system, the attendance process, data search, and attendance recap calculations are made easier and also minimize loss and errors in recording attendance data.
PERANCANGAN APLIKASI JASA LAUNDRY DENGAN METODE EXTREME PROGRAMMING (XP) BERBASIS ANDROID Humairani, Ayunda Annisa; Simanjuntak, Pastima
Computer Science and Industrial Engineering Vol 9 No 7 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i7.7907

Abstract

One of the businesses that has currently penetrated the market is the laundry business. With a sizable income, the laundry business is increasingly in demand by many people as a main or side business. Viky Laundry is one of the laundry places that has customers every day considering its strategic location, which is near residential areas. Unfortunately, in the process, Viky Laundry still uses manual methods without using a computer system as a tool. Therefore, research was conducted to design an Android-based laundry service application that is more effective and provides time efficiency for the laundry shuttle process, records incoming and outgoing clothes, and provides information about Viky Laundry itself. The research methods used include literature study, interviews, design and testing. The software development model used in this research is the Extreme Programming (XP) method. The technology used, then produced an application where customers easily and practically do the laundry process and laundry owners will more easily receive orders from customers. And for laundry entrepreneurs also with the existence of this application helps in recording incoming and outgoing clothes. Based on the results of interviews, and black box testing, the application made is quite helpful for laundry entrepreneurs and laundry customers.
PENERAPAN DATA MINING DENGAN METODE NAIVE BAYES CLASSIFIER PADA PENJUALAN BARANG UNTUK OPTIMASI STRATEGI PEMASARAN Lubis, Kahfi Rama Putra; Sitohang, Sunarsan
Computer Science and Industrial Engineering Vol 9 No 7 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i7.7910

Abstract

Along with technological developments, market developments are also increasing rapidly and competition is starting to occur between entrepreneurs and business people, which requires entrepreneurs to take advantage of existing technology. At this time the Universal Homeware Store does not realize that this data can be processed effectively to find out the development of a business or business that is being run, besides that the procurement of goods that customers need is often unavailable. One of the data processing technologies is by applying data mining. Data mining is a form of extracting information from data that is large enough to obtain data patterns so as to produce information data that is useful for making decisions and increasing profits in developing marketing strategies. One of the uses of data mining is using the Naive Bayes Classifier algorithm. Naive Bayes Classifier is one of the existing algorithms in data mining which is used to deal with uncertainty problems by emphasizing the concept of probability of use and measuring the level of accuracy so that it can predict purchasing strategies from past sales analysis. with research results Using 36 data and with rapid minner tools produces an accuracy value of 80%
DECISION TREE PADA PENILAIAN PERFORMA LAYANAN DRIVER GOJEK DENGAN ALGORITMA C4.5 Uape, Frederikus Cyriaco Leu Le; Elisa, Erlin
Computer Science and Industrial Engineering Vol 9 No 7 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i7.7914

Abstract

Transportation is an important means to support daily activities and operations, be it private transportation or public transportation. This study will analyze the level of customer satisfaction as a public vehicle user, in this case the author utilizes data on customers who use and utilize the gojek application as a means of transportation, using a questionnaire data collection technique, the writer will determine client satisfaction levels using the variables Tangible, Reliability, Responsiveness, Assurance, Empathy. The analytical Data mining with the is a technique employed in this investigation. concept of the Algorithm C4.5 classification which can show the results of the highest Entrophy and gain values modeled as a decision tree with the aim that the results obtained can be a guide for gojek partners to service and increase customers. Considering the outcomes of the classicization It is demonstrated by the C4.5 algorithm that the accuracy achieves 75.33% where the factors that become the assessment of satisfaction are Tangible, Reliability.
ANALISIS KEPUASAN KONSUMEN TERHADAP KUALITAS PRODUK MENGGUNAKAN ALGORITMA NAIVE BAYES Suwandi, Ahmad; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 9 No 7 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i7.7921

Abstract

Current technological developments have brought changes to human lifestyles, such as lifestyle, selection of antic goods and communication equipment such as smartphones and other devices. Nowadays it is known that the collection of branded items is also a lifestyle trend such as bags, rings, clothes and other fashions. Batam as an industrial city encourages investors to invest in Batam, because Batam is the most strategic city and is an international trade route directly adjacent to Singapore. The problem that often occurs at PT Tas Import Sukses in serving consumers is that the goods sent are not on demand, so consumers suspect that the products traded do not have good quality. And if there is a problem, the company responds with a very slow time. The purpose of this study is to analyze consumer satisfaction with the quality of products at PT Tas Import Sukses using the Naïve Bayes method, to determine the level of consumer satisfaction with the quality of bag products. And the last is to find out the level of accuracy in determining product satisfaction and quality with the Naïve Bayes method. While the results of this study are that satisfaction is strongly influenced by the level of service, while the second order is product quality, where the average level of satisfaction accuracy using the naïve bayes algorithm is 91%, pression 89% and recall 88.33%.
IMPLEMENTASI DATA MINING DALAM PREDIKSI KEPUASAN BELAJAR SAAT PANDEMIC COVID MENGGUNAKAN ALGORITMA C 4.5 Siahaan, Asnija Elisabeth; Fauzi, Rahmat
Computer Science and Industrial Engineering Vol 9 No 8 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i8.7949

Abstract

In 2020, the Covid-virus pandemic has spread throughout the world, including in Indonesia, of course affecting all aspects, especially the lives of Indonesian people, including education during the online learning process and the transition from face-to-face processes, of course, various obstacles arise including the lack of students understanding the teaching and learning process, and teachers who are unable to convey material optimally, that's why this online learning system requires the implementation of Data Mining to maximize learning and help related parties. The method used in this research is analysis and data mining. Analysis is an attempt to observe something in detail. things or things by outlining its constituent components or constituents for further study. Data mining, also known as knowledge, is one of the fields whose rapid growth is due to the high demand for added value from large-scale database batteries. From the research that has been done, it indicates that the decision tree can be a reference for schools in order to increase student and female learning satisfaction in the learning process, and based on the results of system testing it can be concluded that this application was successful in increasing student satisfaction in online learning during the covid pandemic. Data mining is used by the C4.5 algorithm to interest students in online learning during the corona virus.
SISTEM KEAMANAN SEPEDA MOTOR BERBASIS MIKROKONTROLER MENGGUNAKAN SMS GATEWAY Dakhi, Viktorius; Fajrin, Alfannisa Annurrullah
Computer Science and Industrial Engineering Vol 9 No 8 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i8.7951

Abstract

Abstrak
ANALISIS RISIKO ERGONOMI PENJAHIT BERDASARKAN JENIS KELAMIN DI KOTA BATAM Laia, Capai; Zetli, Sri
Computer Science and Industrial Engineering Vol 9 No 8 (2023): Comasie
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v9i8.7953

Abstract

The development of the fashion sector in today's modern world is undoubtedly quite promising. Many entrepreneurs start industrial businesses in the clothing sector or what is often referred to as the garment industry, because the need for clothing production is very large. As a result of the very promising profits from the clothing business, many large, medium and small informal companies have flocked to open this business. As a profit-oriented company, on the other hand it also generates many health problems and increases the likelihood of workplace accidents. This is because there are many possible risks in the workplace, including chemical, physical, biological, ergonomic, as well as psychosocial hazards, all of which have an impact on the health of workers

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