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All Journal Jurnal Simantec Journal of Elektronik Sistem InformasI
Syarifuddin, Risald
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Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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Student Attendance Information System at SMKN with Web-Based QR Code Rojari, Fatima; Kelen, Yoseph Pius Kurniawan; Syarifuddin, Risald; Fallo, Kristoforus; Syahyadi, Asep Indra
JESII: Journal of Elektronik Sistem InformasI Vol 3 No 1 (2025): JOURNAL ELEKTRONIK SISTEM INFORMASI (JUNE)
Publisher : Departement Information Systems Universitas Kebangsaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31848/jesii.v3i1.4034

Abstract

SMKN Kakuluk Mesak is a vocational high school located in Dua Laus Village, Kakuluk Mesak District, Belu Regency, East Nusa Tenggara Province, which prepares students to work in specific fields. Students can continue their education at SMK after completing their education at the junior high school level. The study period for SMK students is carried out for three to four years of learning, which is divided into three years of study at school and one year in the related industry department. SMKN Kakuluk Mesak has five majors: APAT, NKPI, WBE, TKPI, and APHPI. One of the problems at SMKN Kakuluk Mesak in terms of technology is the manual attendance and grading of students. Attendance and grades are recorded using books. Therefore, a web-based student attendance information system with QR code is needed to facilitate the student attendance process. This system is built using the waterfall method, which is a systematic and directed approach to developing software in which it is used step by step until it runs in order. This research resulted in a website-based student attendance information system with QR code that helps the school manage attendance data and students can view grades and attendance records anytime and anywhere. Keywords: Website; QR Code; Attendance; Waterfall
Sistem pendukung keputusan pemilihan tanaman pangan berbasis web dengan Fuzzy Weighted Product Naisali, Aldegunda; Kelen, Yoseph Pius Kurniawan; Syarifuddin, Risald; Grace Ludji, Dian
Jurnal Simantec Vol 14, No 1 (2025): Jurnal Simantec Desember 2025 (Article in Progress)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/simantec.v14i1.29958

Abstract

The selection of food crops in North Central Timor Regency is based on individual experience and unstructured and unsystematic information. This process is subjective, depending on the experience or habits of farmers without the support of objective data analysis. This makes decision-making in determining the type of food crop less precise, and can hinder agricultural productivity. This study aims to build a web-based decision support system (DSS) that helps select the most appropriate food crops based on various criteria and alternatives. The system is developed using the Fuzzy Multi Attribute Decision Making (FMADM) and Weighted Product (WP) methods that handle uncertainty in evaluation and weighting. Fuzzy is used to accommodate linguistic qualitative data such as “sufficient”, “good”, or “very good”, reflecting real conditions in the field. Meanwhile, the Weighted Product method calculates the final score of each crop alternative based on the attribute value and weight of each criterion. The criteria in this system include planting area, harvested area, productivity, production, soil type, and market demand. This study aims to develop a web-based decision support system that provides recommendations for selecting the best food crops. This system is designed with an easy-to-use interface, and can be accessed online by farmers, extension workers, and policy makers. In this system, a fuzzy and weighted product approach is used to manage uncertainty in the assessment and produce objective crop rankings. The implementation results show that lowland rice plants get the highest score, which is 0.232977225 compared to other alternatives. This value indicates the highest level of feasibility of all the alternative crops analyzed, so lowland rice is the most recommended choice. This system is able to provide fast, data-based recommendations.Keywords: Fuzzy, Decision Support System, Food Crops, Weighted product, Web
Co-Authors Fallo, Kristoforus Grace Ludji, Dian Naisali, Aldegunda Rojari, Fatima SYAHYADI, ASEP INDRA Yoseph Pius Kurniawan Kelen