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Analisis Deskriptif Untuk Memprediksi Kebutuhan Gula Mempergunakan Metode Manajemen Rantai Pasok Muhammad Ramadhika Putra Tamtomo; Isnaeni Nurhidayah; Fika Anggraeni Lestari; Resad Setyadi
JURIKOM (Jurnal Riset Komputer) Vol 9, No 3 (2022): Juni 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i3.4236

Abstract

Granulated sugar is one of the production products in the agricultural sector and is an important staple in Indonesia. The basic needs of the Indonesian people, one of which is sugar, are a significant factor in increasing state revenues from the export side. However, the national demand for sugar continues to increase along with the increase in Indonesia's population. This has become a national problem in meeting the sugar needs of the Indonesian people. This study aims to analyze descriptively the sugar needs of the Indonesian people through researchers in the distribution channel of sugar in Indonesia. The data collection process used questionnaires and interviews to support descriptive analysis of supply chain management methods. The results showed that 70% of Indonesian people need sugar in their life. Recommendations from this study indicate that it is better to postpone the sugar export policy considering that the demand for sugar in Indonesia is very high.
Sistem Pendukung Keputusan Pemilihan Smartphone Bekas Menerapkan Metode SAW Frendiza Nawandi; Azzam Muzhaffar; Muhammad Ramadhika Putra Tamtomo; Resad Setyadi
Journal of Information System Research (JOSH) Vol 4 No 2 (2023): January 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i2.2741

Abstract

The selection of used Smartphones made by buyers sometimes confuses prospective buyers of what used Smartphones to buy according to the desired criteria. Based on this, in this study a decision support system was built that was used to carry out the process of selecting used smartphones that matched the criteria, namely price, camera, RAM, internal memory, processor, battery, and weight. The decision-making method used is the Simple Additive Weighting (SAW) method. This method is used to determine the weight value of each criterion, which is then carried out a ranking process to determine alternative used Smartphones. The results of this study are to explain the results of the stages of calculating the alternative value criteria in the implementation of the Program which has been carried out based on manual calculations and explaining that the calculation can produce the final stage where the alternative smartphone used MI 10t Pro has a ranking number 1 and has the same value as manual calculations, namely 91.1. With a decision support system that uses the SAW method, (Simple Additive Weighting), it can help consumers choose used cellphones based on predetermined criteria.