cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Risma Arta Juita ButarButar
Contact Email
risma.butarbutar@puterabatam.ac.id
Phone
628117777003
Journal Mail Official
comasiejournal.upb@gmail.com
Editorial Address
FAKULTAS TEKNIK DAN KOMPUTER UNIVERSITAS PUTERA BATAM (Sistem Informasi, Teknik Informatika & Teknik Industri) Jl. R. Soeprapto – Tembesi – Batam – Kepulauan Riau
Location
,
INDONESIA
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 783 Documents
 75   76   77   78   79 
ANALISIS PEMILIHAN SUPPLIER SPAREPART MOTOR PADA BENGKEL CV. AGUS MOTOR BATAM Sirait, Ripaldo; Sirait, Ganda
Computer Science and Industrial Engineering Vol 12 No 4 (2025): Comasie Vol 12 No 4
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i4.9881

Abstract

Suppliers play an important role in providing quality products and in ensuring the availability of goods needed by the company. Supplier selection is a critical activity because the supplier will supply the company's raw materials in the long term so that it has a significant impact on the company's productivity. CV. Agus Motor is a motorcycle repair shop. The problems that often occur in CV. Agus Motor repair shops are delivery time, inconsistent quality, spare part prices, and warranties. This study aims to determine the right supplier of manual or automatic motorcycle chains at CV. Agus Motor. The methods used in this study are Analytical Hierarchy Process (AHP) and Topsis. From this study, the results obtained The most optimal supplier based on the calculation of the AHP method which is the first priority is the Cahaya Motor Batam supplier with a weight value of 0.603 and a percentage of 60.30%, the Surya Mega Teknik supplier is the second priority with a weight value of 0.232 and a percentage of 23.2%, and the Sarana Motor supplier is the third priority with a weight value of 0.164 and a percentage of 16.4%. And with the TOPSIS method, the first priority is Supplier Cahaya Motor Batam is a superior alternative with a value of 1,000, Supplier Surya Mega Teknik is the second priority with a value of 0.092, and Supplier Sarana Motor as the third priority with a value of 0.089. Therefore, the first alternative is selected, namely Cahaya Motor Batam to become a supplier for CV. Agus Motor.
SISTEM PAKAR MENDETEKSI KERUSAKAN PADA GITAR AKUSTIK MENGGUNAKAN METODE BACKWARD CHAINING BERBASIS WEB Tanjung, Rivaldy Ramadhan; Hutabri, Ellbert
Computer Science and Industrial Engineering Vol 12 No 4 (2025): Comasie Vol 12 No 4
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In artificial intelligence world, expert systems are a form of AI (Artificial Intelligence) designed to solve problems aiming the thinking process of an expert. Website-based expert system can detect various acoustic guitars damage. This expert system uses the backward chaining method, where the process starts from the damage, then asks several questions related to the symptoms of damage that occur on the acoustic guitar, then matches them. answers with existing hypotheses, such as a problem with the sound or some component that is not working. With the existing information, the system will perform an analysis and provide diagnosis results and repair recommendations according to the damage to the acoustic guitar. One of the advantages of this expert system is that it is website-based, because it is accessible anytime. It allows beginners, professionals and technicians to detect and repair damage to their acoustic guitar.
RANCANG BANGUN SISTEM INFORMASI KREDIT MOTOR BERBASIS WEB Tiodora, Augustinus; Armono, Sasa Ani
Computer Science and Industrial Engineering Vol 12 No 4 (2025): Comasie Vol 12 No 4
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/comasiejournal.v12i4.9886

Abstract

CV Mega Cakra Motor currently uses a manual motorbike credit recording system which has several obstacles such as recording efficiency, data security and effectiveness in the credit management process. This research aims to design and build a web-based information system that can increase efficiency, accuracy and security in motorbike credit management. The method used in this research is Waterfall, which consists of analysis, design, implementation and system testing stages. The results of this research show that a web-based information system can reduce recording errors, improve document monitoring, and provide easy access to motorbike credit data. With the system that has been designed, CV Mega Cakra Motor can optimize its operations and improve service to customers.

Page 79 of 79 | Total Record : 783

 75   76   77   78   79 

Filter by Year

2019 2025


Reset
Filter By Issues
All Issue Vol 12 No 4 (2025): Comasie Vol 12 No 4 Vol 12 No 3 (2025): Comasie Vol 12 No 3 Vol 12 No 2 (2025): Comasie Vol 12 No 2 Vol 12 No 1 (2025): Comasi Vol 12 No 1 Vol 11 No 4 (2024): Comasi Vol 11 No 4 Vol 11 No 3 (2024): Comasi Vol 11 No 3 Vol 11 No 2 (2024): Comasie Vol 11 No 2 Vol 11 No 1 (2024): Comasie Vol 10 No 5 (2024): Comasie Vol 10 No 4 (2024): Comasie Vol 10 No 3 (2024): Comasie Vol 10 No 2 (2024): Comasie Vol 10 No 1 (2024): Comasie Vol 9 No 8 (2023): Comasie Vol 9 No 7 (2023): Comasie Vol 9 No 6 (2023): Comasie Vol 9 No 5 (2023): Comasie Vol 9 No 4 (2023): Comasie Vol 9 No 3 (2023): Comasie Vol 9 No 2 (2023): Comasie Vol 9 No 1 (2023): Comasie Vol 8 No 4 (2023): Comasie Vol 8 No 3 (2023): Comasie Vol 8 No 2 (2023): Comasie Vol 8 No 1 (2023): Comasie Vol 7 No 7 (2022): Comasie Vol 7 No 6 (2022): Comasie Vol 7 No 5 (2022): Comasie Vol 7 No 4 (2022): Comasie Vol 7 No 3 (2022): Comasie Vol 7 No 2 (2022): Comasie Vol 7 No 1 (2022): Comasie Vol 6 No 5 (2022): Comasie Vol 6 No 4 (2022): Comasie Vol 6 No 3 (2022): Comasie Vol 6 No 2 (2022): Comasie Vol 6 No 1 (2022): Comasie Vol 5 No 7 (2021): Comasie Vol 5 No 6 (2021): Comasie Vol 5 No 5 (2021): Comasie Vol 5 No 4 (2021): Comasie Vol 5 No 3 (2021): Comasie Vol 5 No 2 (2021): Comasie Vol 5 No 1 (2021): Comasie Vol 4 No 6 (2021): Comasie Vol 4 No 5 (2021): Comasie Vol 4 No 4 (2021): Comasie Vol 4 No 3 (2021): Comasie Vol 4 No 2 (2021): Comasie Vol 4 No 1 (2021): Comasie Vol 3 No 5 (2020): comasie Vol 3 No 3 (2020): comasie Vol 3 No 2 (2020): comasie Vol 3 No 1 (2020): comasie Vol 1 No 01 (2019): Comasie Journal More Issue