Article Per Year (5 Year)
p-Index From 2019 - 2024
1.037
P-Index
This Author published in this journals
All Journal IJIE (Indonesian Journal of Informatics Education) JOISIE (Journal Of Information Systems And Informatics Engineering) Archive: Jurnal Pengabdian Kepada Masyarakat Journal of Applied Business and Technology JUDIKAT: Jurnal Pengabdian Kepada Masyarakat
Johan Johan
Institut Bisnis dan Teknologi Pelita Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Public Health Social Sciences Other

Published : 5 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : Journal of Applied Business and Technology

 1 
INTEGRATED SYSTEM IN FORECASTING STOCKS OF GOODS USING THE EXPONENTIAL SMOOTHING METHOD Ricky Martin; Johan Johan
Journal of Applied Business and Technology Vol. 2 No. 1 (2021): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (828.947 KB) | DOI: 10.35145/jabt.v2i1.57

Abstract

Determining the stock of goods is mandatory for a company of buy and sell goods, especially when there are many types of goods to sell. One of the companies that means is PT. Capella Dinamik Nusantara. The company is one of the largest Honda motorcycle distributor companies in Riau. PT. Capella Dinamik Nusantara also sells and purchases Honda motorbike spare Parts for its customers. Considering that there are quite a lot of types of Honda motorbikes and for one Honda motorbike there are already a lot of spare Parts, a system is needed that is able to store all motorbike data and spare Parts, and if possible can help predict the stock of items needed. This research aims to create a decision support system that can help PT. Capella Dinamik Nusantara in predicting the amount of spare part stock needed. The method used in this system is the Exponential Smoothing method with the programming language used is the PHP language which makes this system a Web-based system that is used locally.
Co-Authors Alyauma Hajjah Arden Simeru Chandra, Stefani Darmanta Sukrianto Deny Jollyta Dwi Oktarina evelyn wijaya Gusrianty Gusrianty Gusrio Tendra Gustientiedina Gustientiedina Hadi Dwi Putra Hutri Rizkiyah Alda Loneli Costaner Martha Martha Muhammad Siddik Rangga Rahmadian Yuliendi Ricky Martin Rudi Mulya Teddy Chandra Wahyu Joni Kurniawan Wilda Susanti