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All Journal CESS (Journal of Computer Engineering, System and Science) METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Query : Jurnal Sistem Informasi Jurnal Tekinkom (Teknik Informasi dan Komputer) Journal of Computer Science, Information Technology and Telecommunication Engineering (JCoSITTE) JiTEKH (Jurnal Ilmiah Teknologi Harapan) Sibatik Journal : Jurnal Ilmiah Bidang Sosial, Ekonomi, Budaya, Teknologi, Dan Pendidikan Indonesian Journal Computer Science (ijcs) Prioritas : Jurnal Pengabdian Kepada Masyarakat
Eka Rahayu
Universitas Harapan Medan
Arts Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mechanical Engineering Social Sciences

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Journal : JiTEKH (Jurnal Ilmiah Teknologi Harapan)

 1 
Penerapan Metode Reorder Point pada Persediaan Stok Barang Berbasis Website M. Rezky Sahputra; Eka Rahayu; Nurjamiyah Nurjamiyah
JITEKH Vol 10 No 2 (2022): September 2022
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v10i2.579

Abstract

The data collection of incoming and outgoing goods is still semi-manual by being recorded in a book, then every month it is transferred to excel, making data collection not recorded accurately, so that there is often a discrepancy between the data of the goods that come out and the written data, this results in the unknown number of remaining goods being delivered. available in the warehouse for sure. That way the company does not know when to reorder its stock of goods. The purpose of this research is to build a website-based inventory information system for distribution outlet businesses or commonly called distributions. In determining the right amount of inventory to place an order for stock of goods back by using the Reorder Point method. This website was built using the PHP programming language and MySQL database as well as the CodeIgniter framework. The system development uses the Waterfall method, and the system design uses the Unified Modeling Language (UML). The results of this study are a website-based inventory information system application using the reorder point method which can be used to facilitate the process of collecting data on receipt of goods and expenditure of goods, and the reorder point method can be used as a solution in determining the inventory of an item to be reordered so as to minimize the occurrence shortage or even out of goods.
Perbandingan Weight Moving Average dan Single Exponential Smoothing pada Peramalan Persediaan Produk Farmasi Novita Sari; Hasdiana Hasdiana; Eka Rahayu
JITEKH Vol 10 No 2 (2022): September 2022
Publisher : Universitas Harapan Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35447/jitekh.v10i2.580

Abstract

Satria Pharmacy is a drug product selling business that only sells various kinds of pharmaceutical products. Pharmacies Satria often have difficulty in predicting future product inventories based on previously recorded data. Forecasting is very influential on the decision of the pharmacy owner to determine the number of pharmaceutical products that must be provided by the pharmacy. In developing this forecasting system, the writer uses the Weighted Moving Average (WMA) and Single Exponential Smoothing (SES) forecasting methods. The purpose of this study is to apply the Weight Moving Everage (WMA) and Single Exponential Smoothing (SES) methods to determine the accuracy of the Weight Moving Average (WMA) and Single Exponential Smoothing (SES) methods with the MSE technique. The results of this study are a website-based system that can forecast and produce value comparisons between the Weight Moving Everage and Single Exponential Smoothing methods where in the overall calculation of the error value with Mean Square Error (MSE) there are 54,95 for the WMA method and for the WMA method. SES has a value of 40,79, with that the SES method as a whole predicts better than the WMA method
Co-Authors Adjie Surya Ananda Siregar Arie Rafika Dewi Arief Ridho Lubis Boni Oktaviana Sembiring Dalimunthe, Yulia Agustina Dedy Irwan Desi Srinarika Sitinjak Dewi Ratna Sari Fauzi Pratama Hadinata, Edrian Hasdiana, Hasdiana Kadrayani Kadrayani M. Rezky Sahputra Muhammad Bagoes Ilhamy Muhammad Rizki Mulyahadi Wijaya Duha Novita Sari Nurjamiyah, Nurjamiyah Rosanti Daeli Septiana Dewi Andriana, Septiana Dewi Tantri Hidayati Sinaga