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All Journal Tekinfo | Scientific Journal of Industrial and Information Engineering Jurnal Informatika Teknologi dan Sains (Jinteks)
Wari Ammar Abdul Jabbar
Universitas Teknologi Sumbawa
Computer Science & IT Control & Systems Engineering Industrial & Manufacturing Engineering

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Aplikasi Model VRP dan Metode Saving Matrix untuk Mengoptimalkan Rute Pendistribusian Pupuk di CV. Al-Zaman Koko Hermanto; Silvia Firda Utami; Wari Ammar Abdul Jabbar
Tekinfo: Jurnal Ilmiah Teknik Industri dan Informasi Vol 10 No 1 (2021)
Publisher : Program Studi Teknik Industri Universitas Setia Budi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31001/tekinfo.v10i1.1270

Abstract

Determining the optimal route is very important in distribution of goods or services, because it can reduce costs and time. CV. Al-Zaman is a company that distributes urea fertilizer in Sumbawa Regency. So far, the company has never determined the shortest route in fertilizer distribution. This research will analyze the determination of the shortest route of distribution of fertilizer by CV. Al-Zaman, whose distribution route was previously modeled into the Vehicle Routing Problem (VRP) model, then the model was solved using the Saving Matrix method in determining the shortest route. So far, the distribution process is based on the driver's experience without analyzing the shortest route first. The distribution is carried out by 15 vehicle fleets with a capacity of 10 tons. The distribution process carried out by the vehicle fleet starts from the warehouse to all destination stores (vertex) and then returns to the warehouse. The results of the analysis using the Saving Matrix method and the VRP model resulted in savings of 75.1 km from the routes that have been used by the company. Keywords: Shortest Route, Distribution, Saving Matrix, VRP
PERBANDINGAN PERAMALAN PENJUALAN PRODUK AKNIL PT.SUNTHI SEPURIMENGGUANAKAN METODE SINGLE MOVING AVERAGE DAN SINGLE EXPONENTIAL SMOOTING Nurul Hudaningsih; Silvia Firda Utami; Wari Ammar Abdul Jabbar
Jurnal Informatika Teknologi dan Sains Vol 2 No 1 (2020): EDISI 3
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (896.996 KB) | DOI: 10.51401/jinteks.v2i1.554

Abstract

Forecasting in the company is forecasting product sales to consumers. By knowing product sales can assist the company to provide materials to be produced and determine the production process itself. PT. Sunthi Sepuri is a pharmaceutical company. PT. Sunthi Sepuri often experiences marketing forecasting errors. This causes uncertainty in the amount of production so that it can cause employee productivity to decrease due to the increasing amount of production at any time. In this study demand forecasting will be held at PT. Sunthi Sepuri. This research apply the Single Moving Average and Single Exponential Smoothing methods, with the sample to be used is Aknil product, this product is a pain-relieving drug. Use the two methods to compare the most accurate forecasting methods and close to the actual value. The research methods start from gathering historical data, determining forecasting methods, forecasting calculations, determining the best method, and withdrawing conclusions. Based on the test results that the method that can be used to analyze data that has a small error rate is the Single Moving Average method. Forecasting results for July 2019 with the Single Exponential Smoothing method using ?: 0.8 are 408,488 caplets. As for July 2019, the Single Moving Average method is 466
Co-Authors Firda Utami, Silvia Hermanto, Koko Hudaningsih, Nurul