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All Journal Jurnal Ilmiah Computer Science Jurnal Media Celebes CHAIN: Journal of Computer Technology, Computer Engineering and Informatics Journal of Data Science and Information System Journal of Artificial Intelligence and Technology Information
Raditya Rimbawan Oprasto
Universitas Buddhi Dharma
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Decision Support System for Selecting the Best Raw Material Supplier Using Simple Multi Attribute Rating Method Technique Raditya Rimbawan Oprasto
Jurnal Ilmiah Computer Science Vol. 2 No. 1 (2023): Volume 2 Number 1 July 2023
Publisher : PT. SNN MEDIA TECH PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jics.v2i1.12

Abstract

Problems that occur in the selection of raw material suppliers There is no assessment process for raw material suppliers based on the performance of these suppliers, so that companies cannot choose which suppliers best match the criteria used based on the performance of raw material suppliers for the company. This study aims to carry out the selection of raw material suppliers using a decision support system model by utilizing the SMART method in supporting decision making, so that the ranking results provide recommendations for companies in choosing raw material suppliers to be selected by companies based on the decision support system model made. The Simple Multi Attribute Rating Technique method is a simple but effective approach in making multi-criteria decisions. With a focus on assessing and comparing alternatives based on a number of criteria, SMART provides an intuitive framework to overcome the complexity of choosing the best option. The ranking results based on the table above Vendor C with a final score of 0.735 getting rank 1, Vendor D with a final value of 0.588 getting rank 2, Vendor B with a final score of 0.5 getting rank 3.
Sistem Pendukung Keputusan Pemilihan Pemasok Bahan Baku Menggunakan Metode PROMETHEE Raditya Rimbawan Oprasto
Jurnal Media Celebes Vol. 1 No. 1 (2023): Volume 1 Nomor 1 September 2023
Publisher : CV. Keranjang Teknologi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/mediacelebes.v1i1.15

Abstract

The decision-making system is at the core of the management process in any organization. It includes the collection, analysis, and evaluation of information to select appropriate actions in achieving predefined goals. The PROMETHEE (Preference Ranking Organization METHod for Enrichment Evaluation) method is a mathematical approach used to support multi-criteria decision making. This method is used to compare alternatives based on several different criteria, resulting in a ranking of alternatives based on the level of preference or importance given to each criterion. This study aims to provide recommendations to companies selecting the best raw material suppliers using the PROMETHEE method, so that companies get recommendations on performance from existing raw material suppliers. The results of the supplier selection ranking for raw materials that get Rank 1 are Supplier B with a value of 0.83, Rank 2 is Supplier C with a value of 0.33, Rank 3 is Supplier A with a value of -1.17.
Penerapan Metode TOPSIS Dalam Pemilihan Lokasi Usaha Strategis Raditya Rimbawan Oprasto
Journal of Data Science and Information Systems Vol. 1 No. 3 (2023): Volume 1 Number 3 August 2023
Publisher : Journal of Data Science and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/dimis.v1i3.57

Abstract

This study aims to provide recommendations for strategic business places for business actors using criteria of building area, rental prices, road access, and distance from the center of the crowd. So that the results of business place recommendations in supporting business actors in determining strategic business locations. TOPSIS is a method in multi-criteria decision making that selects the best alternative based on the distance of positive and negative ideal solutions from the criteria used in determining alternatives. Based on the results of the ranking of strategic business location selection that gets rank 1, namely Location 3 with a value of 0.633992256, rank 2 is Location 1 with a value of 0.572951301, rank 3 is Location 4 with a value of 0.5, rank 4 is Location 2 with a value of 0.366023913.
Penerapan Metode PROMETHEE dalam Sistem Pendukung Keputusan Pemilihan Pemasok Bahan Baku Raditya Rimbawan Oprasto
Journal of Artificial Intelligence and Technology Information (JAITI) Vol. 3 No. 3 (2025): Volume 3 Number 3 September 2025
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/jaiti.v3i3.207

Abstract

Sistem pengambilan keputusan adalah inti dari proses manajemen dalam setiap organisasi. Ini mencakup pengumpulan, analisis, dan evaluasi informasi untuk memilih tindakan yang tepat dalam mencapai tujuan yang telah ditetapkan. Metode Promethee (Preference Ranking Organization METHod for Enrichment Evaluation) adalah pendekatan matematis yang digunakan untuk mendukung pengambilan keputusan multi-kriteria. Metode ini digunakan untuk membandingkan alternatif berdasarkan beberapa kriteria yang berbeda, menghasilkan peringkat alternatif berdasarkan tingkat preferensi atau kepentingan yang diberikan kepada setiap kriteria. Penelitian ini bertujuan untuk memberikan rekomendasi kepada perusahaan pemilihan pemasok bahan baku terbaik dengan menggunakan metode PROMETHEE, sehingga perusahaan mendapatkan rekomendasi atas kinerja dari pemasok bahan baku yang ada. Hasil perangkingan pemilihan pemasok untuk bahan baku yang mendapatkan Rangking 1 yaitu Pemasok B dengan nilai sebesar 0,83, Rangking 2 yaitu Pemasok C dengan nilai 0,33, Rangking 3 yaitu Pemasok A dengan nilai sebesar -1,17.
Penerapan Metode Profile Matching Dalam Evaluasi Kinerja Karyawan Raditya Rimbawan Oprasto
CHAIN: Journal of Computer Technology, Computer Engineering, and Informatics Vol. 2 No. 2 (2024): Volume 2 Number 2 April 2024
Publisher : PT. Tech Cart Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58602/chain.v2i2.112

Abstract

Employee performance is an evaluation of individual contributions and achievements in achieving goals and work standards set by the company. Employee performance evaluation covers various aspects, including productivity, quality of work, compliance with company policies, as well as the ability to collaborate and adapt to the work team. One of the problems that occurs is the lack of clarity in determining evaluation criteria that are appropriate and relevant to organizational goals. Appraiser objectivity can arise from subjective preferences or unfair appraisals of appraisers towards certain employees, and lack of consistency in the application of evaluation standards and the unavailability of adequate data can also hinder the effective performance evaluation process. The profile matching method in employee performance evaluation involves comparing an individual's performance profile with an expected or desired profile for a particular position or role in the organization. The purpose of this study is to apply the profile matching method in evaluating employee performance so that it will produce the best performance recommendations from existing employees. The profile matching method is not only an employee performance evaluation tool, but also a powerful management strategy to increase productivity, motivation, and job satisfaction in the workplace. The results of employee performance evaluation using the profile matching method recommend Rina as the employee with the best performance because she gets a total score of 4.5175 and gets 1st place.
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