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All Journal International Journal of Advances in Applied Sciences
Akmaludin Akmaludin
Nusa Mandiri University
Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

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Generation 4.0 of the programmer selection decision support system: MCDM-AHP and ELECTRE-elimination recommendations Akmaludin Akmaludin; Erene Gernaria Sihombing; Rinawati Rinawati; Frisma Handayanna; Linda Sari Dewi; Ester Arisawati
International Journal of Advances in Applied Sciences Vol 12, No 1: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i1.pp48-59

Abstract

The industrial world in the era of generation 4.0 needs personnel related to human resources who can handle crucial problems, especially in terms of data digitalization. The purpose of this paper is to analyze the supporting criteria that can be used as a measure of programmer selection for the needs of the industrial world which can provide optimal decisions and pay attention to the use of multi-criteria that have different quantitative assessments such as criteria related to contradictory times in its application. The problem, in the industrial world, does not only require speed alone but requires professional staff who can transform into digital technology, digitalization technology is needed in terms of the data conversion and transferring process, so a programmer has an important role in changing favorable conditions because it requires a selection process to get the best professional from several programmers. The method that can be used in multi-criteria decision-making-analytic hierarchy process (MCDM-AHP) and elimination et choix traduisant la realite (ELECTRE) methods in the concept of elimination. This method is part of the MCDM, which uses eight criteria in the selection and evaluation process. The results obtained from several selected programmers produce several professionally selected people, and can be used as an optimal benchmark for the programmer selection and evaluation process with a long preference index stage through the elimination process, this provides evidence that the selection and evaluation process can determine decision making which is optimal for a select number of programmers that only a few have through the aggregate dominant matrices.
MCDM-AHP and PROMETHEE methods integrated for base service strategy vendor evaluation and selection Akmaludin Akmaludin; Samudi Samudi; Nicodias Palasara; Feri Prasetyo Harmono; Kudiantoro Widianto; Muhammad Muharrom
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp384-395

Abstract

Business competition is very important in controlling product-savvy customers. Strong basic service techniques will be the main factor that binds vendors as the final destination in the supply chain through the strength of business network processes. This research aims to create a strategic basis for evaluating and selecting vendors through the integration process services of the multi-criteria decision-making method analytic hierarchy process (MCDM-AHP) and preference ranking organization method for enrichment evaluation (PROMETHEE) methods. Empirical studies show how this approach can provide optimal decision support for the vendor evaluation and selection process. Eight different types of criteria are required in its apps and must be realized as a barometer of the strategic basis for selecting vendors so that business processes are of high quality. These criteria include quality of goods, payment methods, payment terms, minimum transactions, discounts, delivery times, inventory, and service. The optimal weight for each criterion will be determined based on its importance to the synthesis process and its feasibility tested using mathematical algebra matrices and expert choice apps. Decision-making was based on the results of ranking evaluation of selected vendors through the development of 342 preference matrices, ten vendors were deemed worthy of acceptance and nine other vendors were rejected.
Co-Authors Erene Gernaria Sihombing, Erene Gernaria Ester Arisawati Feri Prasetyo H Frisma Handayanna Kudiantoro Widianto Linda Sari Dewi Muhammad Muharrom Nicodias Palasara Rinawati Samudi Samudi