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All Journal INTECOMS: Journal of Information Technology and Computer Science Jurnal Informatika Ekonomi Bisnis
Vicky Setia Gunawan
Institut Teknologi Bisnis Riau
Computer Science & IT Economics, Econometrics & Finance

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Sistem Penunjang Keputusan dalam Optimalisasi Pemberian Insentif terhadap Pemasok Menggunakan Metode TOPSIS Vicky Setia Gunawan
Jurnal Informatika Ekonomi Bisnis Vol. 3, No. 3 (2021)
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (557.648 KB) | DOI: 10.37034/infeb.v3i3.86

Abstract

Generally, every company must have an assessment of the supplier of materials in order to maintain the quality of their production. When a supplier gets a good rating, the company usually gives awards such as incentives to the supplier in the hope of increasing motivation, professionalism and good relations with the company. The determination of incentives is currently only based on analysis of existing data records manually, which may lead to errors. From previous observations, a decision support system was created in the optimization of incentives. This study aims to optimize the results of decisions in providing incentives to suppliers. The method used is Technique for Others Preference by Similarity to Ideal Solution (TOPSIS). This method can determine which suppliers are entitled to incentives. The data that is processed in this research comes from PT. Prima Beton Cakrawala. Price, Quality, Delivery, Service and Offer are the assessment criteria for determining incentive recipients. The results of the TOPSIS calculation process can find a more accurate alternative choice decision, because the alternative assessment is in accordance with the specified criteria. Based on the value of the criteria weight for the selection of incentive recipients for each alternative. The results of this study recommend A3 suppliers with a preference value of 0.646 as raw material suppliers who are entitled to receive incentives. Comparisons made between manual calculations and the system built get almost the same results. So that the level of accuracy is 95% accurate enough, so that it can produce factual decision data in order to assist companies in determining incentive recipients so as to increase the motivation of suppliers in providing services. So that it is expected that the leadership can use it as a reference for optimizing decisions on providing incentives.
Penerapan Metode Topsis Dalam Menentukan Kualitas Gambir Vicky Setia Gunawan; Jefdy Kurniawan
INTECOMS: Journal of Information Technology and Computer Science Vol 6 No 1 (2023): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v6i1.5747

Abstract

Gambir adalah tanaman perdu semi panjat yang dapat merambat hingga 1-3 meter dengan batang berbentuk segi empat dan daun berhadapan yang berwarna coklat muda. Tanaman ini digunakan sebagai bahan utama dalam penyirihan dan merupakan salah satu hasil pertanian di Sumatera Barat. Namun, produksi gambir mengalami kualitas produksi yang rendah, sehingga menurunkan daya jualnya. Metode Technique for Others Preference by Similarity to Ideal Solution (TOPSIS) digunakan untuk menentukan peringkat alternatif dengan mempertimbangkan solusi ideal dan terburuk dan mempertimbangkan kelebihan dan kekurangan masing-masing alternatif. Metode ini digunakan sebagai penentu kualitas gambir dalam bentuk perankingan yang dapat membantu dalam memilih kualitas gambir terbaik untuk menetapkan harga. Kriteria yang digunakan untuk menilai kualitas gambir adalah kandungan katekin, air abu, warna, dan kepadatan. Hasil penelitian menunjukkan bahwa ada tiga alternatif yang memiliki kualitas gambir di atas alternatif standar dengan nilai preferensi sebesar 0.494. Salah satunya adalah alternatif P1, yang merupakan alternatif gambir dengan kualitas terbaik dengan nilai kedekatan alternatif terhadap solusi ideal sebesar 0.689. Namun, terdapat dua alternatif yang memiliki kualitas di bawah standar, yaitu P5 dan P6 dengan nilai preferensi masing-masing 0.492 dan 0.149. Hasil penelitian ini dapat memberikan informasi yang berguna dalam penentuan harga sesuai dengan kualitas gambir.
Co-Authors Jefdy Kurniawan