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Supardi , Reno
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Computer Science & IT Electrical & Electronics Engineering

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Comparison of the Preference Selection Index (PSI) Method with the Simple Additive Weight (SAW) Method in The Selection of the Best Foreman at PT. Agro Muko Husna, Nurul; Yupianti, Yupianti; Supardi , Reno
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.294

Abstract

PT. Agro Muko is a Foreign Investment Company engaged in oil palm and rubber plantations. Administratively, PT. Agro Muko is located between several sub-districts, namely North Mukomuko, South Mukomuko, Lubuk Pinang, Teras Terunjam, Pondok Suguh, V Koto, Penarik, Selagan Jaya, Air Dikit and Teramang Jaya Sub-Districts, Bengkulu Regency. For this reason, the researcher tried to build an application that compares the Preference Selection Index (PSI) Method with The Simple Additive Weight (SAW) Method on the selection of the best foreman using the Preference Selection Index (PSI) method using Visual Basic Net, in order to facilitate PT Agro muko in the selection of the best employee every year. Based on the results of the study, the comparison application of the Preference Selection Index (PSI) method with the Simple Additive Weight (SAW) method on the Best Foreman Selection at PT Agro Muko was made using Visual Basic Net programming language with SQL server database as a supporting medium, storing the results of data processing that can be used. used by PT Argo Muko in inputting employee data, so that later it can help in overcoming existing problems so that the process of selecting the best foreman can be done using the application.
Application Of Data Mining To Analyze Sales Data At Pebi Stores Using Apriori MethodApplication Of Data Mining To Analyze Sales Data At Pebi Stores Using Apriori Method Ardiansyah, Keken; Maryaningsih, Maryaningsih; Supardi , Reno
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1491

Abstract

Toko Pebi is one of the business places that sells various kinds of household items such as plastic chairs, spring bads, sofa bads, dining tables, and others that can be purchased by consumers. The purpose of this research is to provide information on which items are in greatest demand and which items are less in demand through the a priori algorithm. The application of data mining to analyze sales data at Toko Pebi is used to provide information on the results of the analysis of sales data at Toko Pebi every month which can be used as a parameter in managing the inventory of goods at Toko Pebi, besides that it can provide information on the items that sell the most at Toko Pebi. In analyzing the sales data, the Apriori Method has been applied, so that the stages of the final results of the analysis go through the stages of the Apriori Method by meeting the minimum support and minimum confidence that have been previously determined. Based on the results of tests that have been carried out on a sample of data for December 2022 as many as 30 transactions, it is found that the sales of goods that are most in demand by the community are dining chairs and dining tables that meet the minimum support of 20% and confidence of 50%.
Implementasi Metode Pareto Abc untuk Pengendalian Persediaan Obat di Apotek Zhafirah Aprilianto, Ronaldi; Jumadi , Juju; Supardi , Reno
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1742

Abstract

Apotek Zhafirah often experience difficulties in making decisions for drug procurement. This is due to a factor that must be considered by the dispensary manager, namely the number of sales of drug items. Pharmacy managers are required to find ways to control the right order so as to reduce the occurrence of drug accumulation. The system is designed by paying attention to user needs related to Pareto ABC analysis process, which is a method used for inventory planning analysis. The system implementation uses the Visual Basic 2010 programming language and the research method used in this research is the waterfall method. Waterfall method is able to analyze the needs used to find out from the weaknesses of the old system, then make a design and continue with the design of the new system. By using Pareto ABC method, the results showed that drug data from January to December 2022 for the type of drug acarbose 50Mg consisted of Group A (March, June, July, August, September), Group B (January, April, May October) and Group C (February, November, December) while the amount of procurement was 9,642.
Co-Authors Aprilianto, Ronaldi Ardiansyah, Keken Jumadi , Juju Maryaningsih, Maryaningsih Nurul Husna Yupianti, Yupianti