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All Journal JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JSI (Jurnal sistem Informasi) Universitas Suryadarma Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Jurnal Sistem Informasi dan Informatika (SIMIKA) Jurnal Ilmiah Sains dan Teknologi (SAINTEK) Jurnal Sistem Komputer dan Informatika (JSON) Advance Sustainable Science, Engineering and Technology (ASSET) Jurnal Teknologi dan Manajemen Decode: Jurnal Pendidikan Teknologi Informasi Journal of Community Services in Sustainability Jurnal Ilmiah Sistem Informasi
Denny Riandhita Arief Permana
Politeknik STMI Jakarta
Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Physics Public Health Other

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PENERAPAN METODE FORWARD CHAINING PADA SISTEM PAKAR UNTUK MENGATASI REJECT PAINTING SPARE PART OTOMOTIF DI PT ASTRA OTOPARTS TBK Denny Riandhita Arief Permana; Septian Isnanto; Fifi Lailasari Hadianastuti; Zahra Nadhifa
Jurnal Sistem Informasi dan Informatika (Simika) Vol. 8 No. 1 (2025): Jurnal Sistem Informasi dan Informatika (Simika)
Publisher : Program Studi Sistem Informasi, Universitas Banten Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/simika.v8i1.3868

Abstract

P PT Astra Otoparts Tbk Divisi Nusametal is a company operating in the automotive industry. This company produces four-wheeled vehicle components, two-wheeled vehicle parts, and other automotive components made from aluminum materials. In the painting process, there is a quality inspection of the products divided into FG (Finish Good) and NG (Not Good) products. The use of technology can be very helpful in quality control, especially in the painting process. In the painting process, rejects often occur on automotive components. Each reject has different symptoms and causes, so the solution to address each reject is also different. Knowledge about solutions to address rejections is only possessed by the engineering team on the second shift, so handling can be delayed by 1 day and the painting process will be halted. The variables used are 13 symptoms and 51 causes. In this study, the use of the Forward Chaining method in the expert system can analyze reject symptoms and reject causes, allowing operators to identify the type of reject and fix the reject results without having to wait for engineering in the second shift. This way, repairs can be done in just 30-60 minutes, and operators can independently resolve 80% of painting reject issues while the painting process continues.
Penerapan Simple Additive Weighting Dalam Pemilihan Pembelian Mobil Bekas Berpenumpang Menggunakan Tableau Visualization Permana, Denny Riandhita Arief; Rozi, Muhamad Fahrul; Heriyanto, Lucky; Ismono, Ahlan; Putri, Windy Seirina
Jurnal Ilmiah Sains dan Teknologi Vol. 10 No. 1 (2026): Jurnal Ilmiah Sains dan Teknologi
Publisher : Teknik Informatika Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47080/saintek.v10i1.4370

Abstract

Used passenger cars are an attractive alternative for consumers because they offer more economical prices than new cars, while still maintaining competitive quality. However, the large selection of used cars with various criteria often makes it difficult for prospective buyers to make the right choice. This research was conducted to develop a Decision Support System (DSS) using the Simple Additive Weighting (SAW) method to help prospective buyers choose a used car based on several criteria, namely price, engine capacity, mileage (kilometers), and seating capacity. The data used is used car sales data. T In addition, data visualization through Tableau is also used to provide a clearer and more easily understood information representation for Sentosa Motor. The analysis results show that the SAW method is able to produce objective and accurate recommendations, thus helping prospective Sentosa Motor buyers determine the used car that best suits their needs and preferences
Penerapan Monitoring Locator Dies pada Perusahaan Stamping Part Otomotif Denny Riandhita Arief Permana; Morgan Suseta; Ahlan Ismono
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 4 No. 1 (2022): September 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i1.4914

Abstract

PT. Ganding Toolsindo is an automotive stamping parts company that has been established since 1998. This design is illustrated by conducting research at the kruing plant which is placed in the production division to assist the audit process at first and collect customer data, then get a mandate from the managerial to create an information system that is integration and innovation in the area of return and use of dies. Then look for accurate data with various methods so that the implementation of this system goes well, on this occasion the design was made with the concept of a dies locator information system that tracks the existence of dies for production and contains the identity of dies data in the production process. The problem that occurs is that the operator often places the dies not according to the existing shelves and in the end the dies become unorganized and neat when the production process is running. The method of developing this system is to use SDLC (system development life cycle), namely Waterfall. This information system uses mysql and codeigniter, then to run this system using xampp. The whole of this information system is about tracking the dies whether they are in production or on the shelf, if they are being repaired, the status of the dies will change as well as the status of the dies when they are being used in production. In this system feature there are customer data, part data, shelf data, user data and the duration of use of the dies. In the end, this system generates a report to the production supervisor to be seen and in what dies data is being used in production so that there will be no more misplaced shelves.
Co-Authors Abas, Sidiq Waskito Abdad, Ibnu Dzaky Ahlan Ismono Ahmad Juniar Anggraini, Risma Anwar, Muchamad Taufiq Chris Jatender Febry P.J. Sibuea Fifi Lailasari Hadianastuti Finna Suroso Fitrandi, Nisrina Nur Gita Mustika Rahmah Heriyanto, Lucky Ismono, Ahlan Morgan Suseta Muhamad Fahrul Rozi Pratiwi, Anggy Eka Putri, Windy Seirina Rahmah, Gita Mustika Risma Anggraini Rozi, Muhamad Fahrul Salsabila Muharona Yuna Septian Isnanto Suroso, Finna Zahra Nadhifa