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Meningkatkan Literasi Teknologi melalui Webinar Pintu Gerbang Menuju Digital Hermansyah, Masud; Andita Prasetyo , Nur; Wahid, Abdul; Afreyna Fauziah, Difari; Muliawan, Agung
JURNAL PENGABDIAN MASYARAKAT (JPM) Vol 3 No 2 (2023)
Publisher : Institut Teknologi dan Sains Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the ever-evolving digital era, technology has become a major driving force in social, economic and educational change. Information and communication technologies (ICTs) have changed the way people work, communicate, and learn. As technology advances, it is important for individuals to have sufficient technological literacy to be able to participate actively in a digital society. The aim of this webinar is to provide an in-depth understanding of digital technology and teach practical skills in using it wisely. This webinar presents a series of topics related to digital technology, including digital transformation of Internet of Things (IoT) Technology in the Industrial World, Information Security Culture, and Computer and Network Security. By using the Zoom Video Communications application, webinar participants can easily participate from their respective locations, thus enabling broad participation and more flexibility for students to learn about technology. This webinar succeeded in increasing high school and vocational students' interest in the field of technology, as well as opening their insights about various career opportunities in the digital era. In addition, students also become more aware of the importance of ethics and responsibility in using technology, and are aware of its impact on society.
Strategi Gamifikasi Ekonomi Digital dalam Meningkatkan Literasi Ekonomi Digital di Era Transformasi Digital Sabilirrasyad, Iqbal; Firdausi, Faiz; Prasetyo, Nur Andita; Hermansyah, Masud
JURNAL PENGABDIAN MASYARAKAT (JPM) Vol 4 No 2 (2024)
Publisher : Institut Teknologi dan Sains Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31967/jpm.v4i2.1145

Abstract

Dengan perkembangan zaman yang telah berfokus untuk pemaksimalan penggunaan teknologi dalam dunia ekonomi digital, perlunya ada peningkatan strategi yang jitu dalam memaksimalkan teknologi tersebut. Gamfikasi merupakan penambahan elemen permainan kedalam aspek yang serius seperti ekonomi digital. Dengan penambahan serta pemahaman tentang gamifikasi mampu meningkatkan interaksi antara produk dan pembeli serta retensi penggunaan produk yang ada, memaksimalkan potensi dalam ekonomi digital. Sayangnya kurangnya literasi dan kepamahan dalam masyarakat dan UMKM yang ada menjadikan strategi ini kurang diminati. Dengan mengadakan webinar, hasil dari pengabdian yang dilakukan dikatakan mampu meningkatkan kepemahaman terhadapt gamifikasi dalam dunia digital.
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.
Integration of AHP and TOPSIS Methods in Decision Making Models to Identify High Achieving Students Hermansyah, Masud; Mujiono, Mujiono; Fatimatuzzahra, Fatimatuzzahra; Dedes, Khen; Firdausi, M Faiz
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.v3i2.1547

Abstract

Selection of outstanding students is an essential process in education to ensure that students with high achievements receive appropriate recognition and guidance. However, this process often suffers from subjectivity and the absence of a structured decision-making system. This study aims to develop an objective and accountable decision support model by integrating the Analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) methods. The AHP method is used to determine the weight of each selection criterion, while the TOPSIS method is used to rank students based on their proximity to the ideal solution. The study involved 10 student candidates and assessed them based on 6 criteria, including academic performance, discipline, extracurricular activities, and religious values. The results show that the integrated AHP-TOPSIS model successfully identifies students with the highest preference values as the most outstanding, while those with lower values are recommended for further coaching. The model demonstrates its effectiveness in supporting accurate, data-driven student selection at MIMA 37 Sunan Kalijogo Ambulu.