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All Journal RABIT: Jurnal Teknologi dan Sistem Informasi Univrab Teknik: Jurnal Ilmu Teknik dan Informatika Mars: Jurnal Teknik Mesin, Industri, Elektro dan Ilmu Komputer
Taufik Kurnialensya
Universitas Sains dan Teknologi Komputer
Computer Science & IT Engineering

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Sistem Pendukung Keputusan Pembelian Rumah Menggunakan Metode Fuzzy dan Metode Simple Multi Attribute Rating Technique (Smart) Taufik Kurnialensya
Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer Vol. 2 No. 3 (2024): Juni: Mars: Jurnal Teknik Mesin, Industri, Elektro Dan Ilmu Komputer
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/mars.v2i3.338

Abstract

Home is one of the primary needs of society. Various considerations of a person in buying a house, including considerations in terms of accessibility, environmental safety, road infrastructure and drainage, price, size and layout, building structure and model, availability of internet connection and signal layout, building structure and model, availability of internet connection and cell phone signal, availability of water and electricity, legal availability of water and electricity, legality, distance to workplace, and public facilities.public facilities. The fuzzy method is able to be used to classify the set of membership criteria and the SMART method can be used to rank the value of the criteria used criteria used. Calculations that have been carried out starts from using a fuzzy method that is useful for finding the set of membership criteria, followed by calculating the membership set of criteria, followed by calculating the matrix and ranking with the SMART method. ranking with the SMART method. Ranking with the highest value is house 2 with a value of 87.16 followed by house 3 with a value of 85.87 followed by house 1 with a value of 84.92 and the last house 4 with a value of 72.13
Absensi SISTEM MONITORING KEHADIRAN SISWA MENGGUNAKAN MIKROKONTROLLER BERBASIS WEB Taufik Kurnialensya; Puput Candra Saputra
Rabit : Jurnal Teknologi dan Sistem Informasi Univrab Vol 8 No 1 (2023): Januari
Publisher : LPPM Universitas Abdurrab

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36341/rabit.v8i1.3039

Abstract

An attendance information system, used to record a person's presence, is used as a reference for proof someone is present at an activity. Ease of information and the validity of information is a fundamental requirements in making attendance reports. The use of manual attendance has several drawbacks, including the lack of direct and fast transfer of information to other parties, and inaccurate data validity. Technology that can be applied in creating an attendance information system using a microcontroller and a website, in designing an attendance system using the Arduino UNO R3 microcontroller board as a controller, and ESP32-CAM as a camera for taking pictures. Sending data using a student card in the form of an RFID card. Overall, from the results of testing the attendance information tool and system, it can work well, namely, it can retrieve data from student cards and take pictures of students' faces and can be displayed on web pages.
Analisis Komparatif Metode MABAC, TOPSIS, dan SAW pada Sistem Pendukung Keputusan Pemilihan Tools AI Taufik Kurnialensya; Rohmad Abidin
Teknik: Jurnal Ilmu Teknik dan Informatika Vol. 6 No. 1 (2026): Mei : Teknik: Jurnal Ilmu Teknik dan Informatika
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/teknik.v6i1.1354

Abstract

Selecting appropriate artificial intelligence (AI) tools poses a significant challenge for individuals and organizations given the numerous alternatives available with varying characteristics. This study aims to compare three Multi-Criteria Decision Making (MCDM) methods, namely MABAC (Multi-Attributive Border Approximation area Comparison), TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), and SAW (Simple Additive Weighting), in a decision support system for AI tools selection. Criteria weighting is performed objectively using the Entropy method. Four alternatives are evaluated: ChatGPT, Gemini, Claude, and Copilot, based on ten criteria: price, ease of use, features, integration, support, security, speed, accuracy, templates, and learning curve. The results show that all three methods produce consistent rankings, with ChatGPT ranked first, followed by Copilot second, Claude third, and Gemini fourth. Consistency between methods is measured using Spearman correlation, yielding rs values of MABAC-TOPSIS = 1.0000, MABAC-SAW = 1.0000, and TOPSIS-SAW = 1.0000. These results indicate that all three methods provide highly consistent outcomes and can complement each other. This research contributes methodologically to the application of MCDM in the AI tools selection domain and serves as a practical reference for users in determining the most suitable AI tools for their needs.
Co-Authors Puput Candra Saputra Rohmad Abidin