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All Journal Jurnal Teknologi Informasi dan Terapan (J-TIT) Jurnal Esensi Infokom: Jurnal Esensi Sistem Informasi dan Sistem Komputer Journal of Informatics Development KOMPUTASI
Ariyadi, David Juli
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Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering

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Analisis Gerakan Mata Terhadap Tingkat Kecemasan Mahasiswa Dengan Metode Fuzzy Inference System David Juli Ariyadi; I Gede Aris Gunadi; Dewa Gede Hendra Divayana
Jurnal Teknologi Informasi dan Terapan Vol 10 No 1 (2023)
Publisher : Jurusan Teknologi Informasi Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jtit.v10i1.304

Abstract

Penelitian ini bertujuan mengetahui bagaimana metode Fuzzy Inference System (FIS) mampu menilai tingkat kecemasan seseorang melalui gerakan mata. Gerakan mata mengandung banyak informasi yang menggambarkan kondisi fisik dan psikis. Gerakan mata direkam menggunakan Tobii Eye Tracker, data disimpan dan diproses dengan FIS karena sifat variabelnya yang tidak tegas. Penelitian ini bekerja sama bersama pakar dengan observasi dan wawancara bersama responden dan memberikan keputusan secara profesional tentang tingkat kecemasan yang dialami di akhir sesi observasi. Dalam penelitian ini diperbandingkan FIS metode Tsukamoto dan Mamdani yang paling tepat atau direkomendasikan untuk menentukan tingkat kecemasan seseorang secara umum. Penentuan rekomendasi ini berdasarkan jumlah pandangan responden terhadap layar monitor yang dibagi menjadi lima area bagian. Pengujian performa setiap metode menggunakan confusion matrix. Berdasarkan tingkat akurasinya (accuracy), FIS metode mamdani memiliki nilai yang lebih baik sebesar 81,25% daripada FIS Tsukamoto yang sebesar 79,69%. Dengan demikian secara umum, FIS metode Mamdani lebih baik daripada FIS metode Tsukamoto dengan selisih sebesar 1,56%. Ke depan diharapkan penelitian ini memberikan informasi lebih awal kepada seseorang untuk mengetahui tingkat kecemasannya.
Design and Development of an Exhibition Management System for Final Project Products of Practicum Using the Prototyping Method Ariyadi, David Juli; Etikasari, Bety
Journal of Informatics Development Vol. 3 No. 1 (2024): Oktober 2024
Publisher : Institut Teknologi dan Bisnis Widya Gama Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30741/jid.v3i1.1498

Abstract

This study focuses on the design and development of the Exhibition Management System (EMS) through the Prototyping Method exemplifies a workable solution to the challenges of organizing exhibitions aimed at showcasing products developed from Project Based Learning (PBL) in practicum activities. By integrating features such as participant registration, product submission, feedback collection, and archive management, this system presents an organized platform that boosts user interaction and streamlines operations. Requirement prototype technique of prototyping is utilized because the developer builds the system by outlining its functions and processes, especially when the user or owner of the system is unable to accurately. The system is built using the Laravel framework and MySQL as data storage. This system is not only a digital platform in exhibition management, but also serves as a reference that can be implemented for other educational institutions that want to increase public engagement in the institution's activities to improve the experience through digital solutions. The successful implementation of this system as a benchmark shows its potential to increase innovation, teamwork, and effective results in project-based learning.
Sistem Penunjang Keputusan Pemilihan Guru Terbaik Melalui Penilaian Administrasi Pembelajaran dengan Metode TOPSIS Hermansyah, Masud; Setiawan, Akas Bagus; Mujiono, Mujiono; Ariyadi, David Juli; Firdausi, M. Faiz
Jurnal Esensi Infokom : Jurnal Esensi Sistem Informasi dan Sistem Komputer Vol 9 No 1 (2025): Jurnal Esensi Infokom : Jurnal esensi sistem informasi dan sistem komputer
Publisher : Lembaga Riset dan Pengabdian Masyarakat Institut Bisnis Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55886/infokom.v9i1.969

Abstract

The process of selecting the most outstanding teachers is an important part of efforts to improve the quality of education in schools. At SMAS Sultan Agung Puger, teacher assessments have so far been subjective and have not used a structured system. Thus, this study aims to design and develop a Decision Support System (DSS) to assist the process of selecting the best teachers based on the evaluation criteria for learning administration that have been set by the school. The method used in this study is the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), because this method is able to provide objective ranking results oriented towards the level of similarity to the ideal solution. TOPSIS has the advantage of calculating the positive and negative values ​​of each alternative simultaneously. The results of the system implementation show that the teacher with alternative A4 obtained the highest preference value of 1, so he was selected as the best teacher. This system has succeeded in helping to provide more transparent, systematic, and objective evaluation results. Thus, the system built using the TOPSIS method has proven effective in supporting the decision-making process for selecting the best teachers based on learning administration data.
Application of Three-Parameter Logistic (3PL) Item Response Theory in Learning Management System (LMS) for Post-Test Analysis Ariyadi, David Juli
Journal of Informatics Development Vol. 3 No. 2 (2025): April 2025
Publisher : Institut Teknologi dan Bisnis Widya Gama Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30741/jid.v3i2.1554

Abstract

In the edu-digital era, Learning Management Systems (LMS) have become pivotal in delivering and managing education. However, many LMS platforms lack sophisticated analytical tools to evaluate the quality of post-test assessments. This research explores the application of Item Response Theory (IRT) as a psychometric model integrated into an LMS to enhance post-test analysis. By leveraging IRT, the system can evaluate item difficulty, discrimination, and guessing parameters, providing more accurate insights into both test quality and student ability levels. The study implements a three-parameter logistic (3PL) IRT model and integrates it into an LMS prototype. Empirical data from real student post-tests are analyzed to validate the model's effectiveness. The results demonstrate that IRT-based analysis significantly improves the assessment feedback mechanism, allowing educators to identify poorly performing items, adapt instructional strategies, and personalize learning paths. This research contributes to the development of intelligent assessment systems in educational technology, promoting more effective, fair, and data-driven evaluation processes.
Sistem Penunjang Keputusan Pemilihan Guru Terbaik Melalui Penilaian Administrasi Pembelajaran dengan Metode TOPSIS Hermansyah, Mas’ud; Setiawan, Akas Bagus; Firdausi, M. Faiz; Mujiono, Mujiono; Ariyadi, David Juli
Jurnal Esensi Infokom : Jurnal Esensi Sistem Informasi dan Sistem Komputer Vol 9 No 1 (2025)
Publisher : Institut Bisnis Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55886/infokom.v9i1.969

Abstract

Proses memilih guru paling berprestasi merupakan bagian penting sebagai upaya untuk meningkatkan mutu pendidikan di sekolah. Di SMAS Sultan Agung Puger, penilaian guru selama ini masih bersifat subjektif dan belum menggunakan sistem yang terstruktur. Dengan demikian, studi ini memiliki tujuan untuk merancang serta mengembangkan sebuah Sistem Pendukung Keputusan (SPK) untuk membantu proses pemilihan guru terbaik berdasarkan kriteria evaluasi administrasi pembelajaran yang telah ditetapkan oleh sekolah. Metode yang digunakan dalam penelitian ini adalah Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), karena metode ini mampu memberikan hasil peringkat yang objektif berorientasi pada tingkat kemiripan dengan solusi ideal. TOPSIS memiliki keunggulan dalam memperhitungkan nilai positif dan negatif dari masing-masing alternatif secara simultan. Hasil dari implementasi sistem menunjukkan bahwa guru dengan alternatif A4 memperoleh nilai preferensi tertinggi sebesar 1, sehingga terpilih sebagai guru terbaik. Sistem ini telah berhasil membantu memberikan hasil evaluasi yang lebih transparan, sistematis, dan objektif. Dengan demikian, sistem yang dibangun menggunakan metode TOPSIS terbukti efektif dalam mendukung proses pengambilan keputusan pemilihan guru terbaik berdasarkan data administrasi pembelajaran.
Co-Authors Bety Etikasari, Bety Dewa Gede Hendra Divayana, Dewa Gede Hendra Hermansyah, Masud Hermansyah, Mas’ud I Gede Aris Gunadi M Faiz Firdausi Mujiono Mujiono Setiawan, Akas Bagus