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All Journal JISA (Jurnal Informatika dan Sains) JIKA (Jurnal Informatika) Al-Hijr: Journal of Adulearn World
Pangestu, Budi
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Languange, Linguistic, Communication & Media Other

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The Role of Digital Technology in Overcoming Game Addiction in Post-COVID-19 Fitria, Ika; Pangestu, Budi; Mardikawati, Budi; Tjahyadi, Indra; Bawamenewi, Arozatulo
Al-Hijr: Journal of Adulearn World Vol. 3 No. 1 (2024)
Publisher : Sekolah Tinggi Agama Islam Al-Hikmah Pariangan Batusangkar, West Sumatra, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55849/alhijr.v2i4.553

Abstract

This article aims to describe the role of digital technology in overcoming game addiction in post-covid-19. One of the problems that has received widespread attention from society is online game addiction. Teenagers are one of the largest age groups who experience game addiction. The aspects that impact online game addiction are life aspects, health aspects, psychological aspects, academic aspects, financial aspects, and social aspects. The purpose of the study is to examine alternatives to prevent online game addiction in adolescents in the midst of the Covid-19 pandemic by using digital technology in the form of digital literacy. This problem utilizes a qualitative approach using the questionnaire method. In this process, the role of digital technology has become an alternative to prevent addiction to playing games. Many of the researchers focus more on educating about game addiction, but forget the facts about efforts to prevent online games. The results of this study explain that the role of digital technology can overcome game addiction. The conclusion of the research results on the role of digital technology in overcoming game addiction in post covid-19 is that it can help efforts in overcoming game addiction by using digital technology parameters. The limitation of this research is that researchers only conduct research in post covid-19, and the time used is also limited to conduct research, researchers hope that future researchers can take greater action than the current research using better methods or technology and a larger scope.
ANALISIS RISIKO DAN KENDALA IMPLEMENTASI SISTEM SMART HOME BERBASIS IOT Najmuddin, Najmuddin; Saputra, Memed; Pangestu, Budi; Setiawan, Lucky
Jurnal Informatika Vol 9, No 3 (2025): JIKA (Jurnal Informatika)
Publisher : University of Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/jika.v9i3.13836

Abstract

Perkembangan teknologi Internet of Things (IoT) telah mendorong lahirnya sistem otomatisasi rumah tangga atau Smart Home yang dapat meningkatkan kenyamanan, keamanan, dan efisiensi energi. Penelitian ini bertujuan untuk menganalisis risiko dan kendala implementasi sistem Smart Home berbasis IoT yang dibangun menggunakan mikrokontroler ESP32 dan terintegrasi dengan platform Google Assistant serta Sinric Pro. Metode penelitian menggunakan pendekatan kualitatif berbasis studi eksperimen dengan model prototyping. Sistem diuji dalam simulasi rumah tangga dengan berbagai skenario untuk mengidentifikasi kinerja, kelemahan teknis, dan potensi risiko operasional. Hasil pengujian menunjukkan bahwa sistem mampu menjalankan fungsinya sesuai desain awal, namun terdapat kendala seperti ketergantungan tinggi pada koneksi internet, deteksi palsu dari sensor gas dan api, serta kompleksitas dalam proses integrasi antarsistem. Analisis risiko dan SWOT dilakukan untuk mengevaluasi kelayakan implementasi sistem. Kesimpulan dari penelitian ini menekankan pentingnya stabilitas jaringan, perencanaan teknis yang matang, serta edukasi pengguna sebagai faktor pendukung keberhasilan implementasi Smart Home berbasis IoT di lingkungan perumahan
COMPATIBILITY OF SELECTION OF STUDENT DEPARTMENTS USING k-NEAREST NEIGHBOR AND NAÏVE BAYES CLASSIFIER IN INFORMATICS PRIVATE VOCATIONAL SCHOOL, SERANG CITY Pangestu, Budi
JISA(Jurnal Informatika dan Sains) Vol 4, No 1 (2021): JISA(Jurnal Informatika dan Sains)
Publisher : Universitas Trilogi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31326/jisa.v4i1.893

Abstract

Selection of majors by prospective students when registering at a school, especially a Vocational High School, is very vulnerable because prospective students usually choose a major not because of their individual wishes. And because of the increasing emergence of new schools in cities and districts in each province in Indonesia, especially in the province of Banten. Problems experienced by prospective students when choosing the wrong department or not because of their desire, so that it has an unsatisfactory value or value in each semester fluctuates, especially in their Productive Lessons or Competencies. To provide a solution, a departmental suitability system is needed that can provide recommendations for specialization or major suitability based on students' abilities through attributes that can later assist students in the suitability of majors. The process of classifying the suitability of majors in data mining uses the k-Nearest Neighbor and Naive Bayes Classifier methods by entering 16 (sixteen) criteria or attributes which can later provide an assessment of students through this test when determining the majors for themselves, and there is no interference from people. another when choosing a major later. Research that has been carried out successfully using the k-Nearest Neighbors method has a higher recall of 99%, 81% accuracy and 82% precision compared to the Naïve Bayes Classifier whose recall only yields 98% while the accuracy and precision is the same as the k- Nearest Neighbors.
Co-Authors Bawamenewi, Arozatulo Ika Fitria, Ika Indra Tjahyadi Lucky Setiawan, Lucky Mardikawati, Budi Najmuddin, Najmuddin Saputra, Memed