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All Journal Jurnal Bisnis Kompetitif Bulletin of Informatics and Data Science
Fadilah, Sandi
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Computer Science & IT Electrical & Electronics Engineering Engineering Social Sciences

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Weighted Multi-Criteria Assessment of Rice Quality Using The TOPSIS Method Satria, Budy; Fadilah, Sandi
Bulletin of Informatics and Data Science Vol 4, No 2 (2025): November 2025
Publisher : PDSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61944/bids.v4i2.145

Abstract

Rice is a staple food for the Indonesian people, and its availability must be guaranteed by the government. The background of this research is based on the increasing demand for high-quality rice from consumers, thus challenging producers to set optimal rice quality standards. The process of selecting quality rice is still carried out using conventional methods in Bulog warehouses, namely by checking every rice data received by the quality control team tasked with assessing the quality of incoming rice. To overcome this problem, a decision support system is needed that can provide fair, objective, and efficient decisions. This study aims to evaluate the quality of rice from 10 alternatives using five criteria: milling degree, head grain, moisture content, broken grain, and grit grain, with a total weight of 100%. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method is applied. This research was conducted by following a series of steps, including building a Decision Matrix, Normalizing the Decision Matrix, Calculating the Weighted Normalized Decision Matrix, Determining the Ideal Positive and Negative Solutions, Calculating the Distance to the Ideal Positive and Negative Solutions, and Calculating the Preference Score. The results of the study showed that from 10 alternative data, 5 types of rice were obtained with the highest preference values, namely Harum Solok Rice (0.8363), Anak Daro Rice (0.7955), Kuruik Kusuik Rice (0.7210), Ampek Angkek Rice (0.6919), and Saganggam Panuah Rice (0.6727). The conclusion of this study is that the application of the TOPSIS method is effective in objectively assessing rice quality. In further research, it is recommended to utilize a combination of other decision support methods to acquire new knowledge and refine preference values, as well as to develop these methods into user-friendly interfaces
ANALISIS MOTIVASI KERJA, KOMPETENSI, KETERIKATAN KERJA, DAN KINERJA GURU SERTA PEMBINA INSAN CENDEKIA BOARDING SCHOOL (ICBS) HARAU PAYAKUMBUH Yusriadi, Yusriadi; Irawan, Dika; Fadilah, Sandi
Jurnal Ekonomi Bisnis Kompetif Vol 4 No 3 (2025): aktor Penentu Minat Pembelian, Kinerja Karyawan, dan Pengelolaan Hubungan Pelangg
Publisher : Komunitas Manajemen Kompetitif

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35446/bisniskompetif.v4i3.2650

Abstract

This study aims to descriptively analyze work motivation, competence, work engagement, and the performance of teachers and supervisors at Insan Cendekia Boarding School (ICBS) Harau Payakumbuh. The study employed a descriptive quantitative approach with a total of 211 respondents. Data were collected using a Likert-scale questionnaire and analyzed through descriptive statistical techniques, including mean scores and class interval categorization. The results indicate that, in general, work motivation, competence, work engagement, and the performance of teachers and supervisors fall into the good category. However, several indicators related to welfare and professional development remain in the fairly good category, particularly those concerning allowances, future security, and the production of scientific publications. These findings provide managerial implications for educational institution administrators in formulating sustainable human resource management policies.
Co-Authors Budy Satria Irawan, Dika Yusriadi Yusriadi