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All Journal Journal of Artificial Intelligence and Innovative Applications (JOAIIA) AMMA : Jurnal Pengabdian Masyarakat APPA : Jurnal Pengabdian Kepada Masyarakat
Ahmad
Universitas Pamulang
Humanities Chemistry Computer Science & IT Economics, Econometrics & Finance Education Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Medicine & Pharmacology Nursing

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Pelatihan Pembuatan Blog / Website Pribadi Gratis Untuk Siswa Di SMPN 4 Tangerang Selatan Indra Kristianto; Ahmad; Muhammad Santoso
AMMA : Jurnal Pengabdian Masyarakat Vol. 2 No. 5 (2023): AMMA : Jurnal Pengabdian Masyarakat
Publisher : CV. Multi Kreasi Media

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Abstract

A blog / website is an online journal or journal that contains a variety of information, such as articles, photos or videos, which are updated regularly. PKM activities at the Tangsel 4 Middle School in the South Tangerang area this time we will provide training on creating personal blogs/websites for free with the aim of students knowing how to create them from the start. Apart from that, creating a blog can be useful for improving oneself both in iincreasing knowledge and improving writing skills and the ability to understand technology.
Web-Based Expert System for Diagnosing Adolescent Mental Health Disorders Using Support Vector Machine and Naïve Bayes Anggito Gabehalomoan; Ahmad
Journal of Artificial Intelligence and Innovative Applications (JOAIIA) Vol. 7 No. 1 (2026): February
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/joaiia.v7i1.57242

Abstract

Mental health disorders are serious issues that can affect anyone, including adolescents. The lack of public awareness, limited access to mental health services, and the absence of practical diagnostic systems are major obstacles in the early detection and treatment of mental disorders. This study aims to design and develop a web-based expert system capable of providing early diagnosis for 10 (ten) types of mental health disorders in adolescents. The system employs the Support Vector Machine (SVM) and Naïve Bayes algorithms to enhance classification accuracy based on symptoms input by users. The system’s knowledge base is derived from literature, mental health experts, and the PPDGJ III (Indonesian Guidelines for the Classification of Mental Disorders). Additionally, the system is equipped with an error-prevention feature to minimize human error during data input. The results indicate that the system can deliver efficient and accurate preliminary diagnoses and can be easily accessed by adolescents and the general public through a web platform. Therefore, this system is expected to serve as an alternative solution for early detection of mental health disorders and to raise public awareness of the importance of mental well-being.
Efektivitas Kolaborasi Digital: Pemanfaatan Microsoft Teams di Lingkungan Perusahaan IT Kazhem Avie AlHakim Umarona; Mohammad Nur Arie; Dwi Ihwanto; Marcel Wang; Angga Firman Hidayat; Ahmad
APPA : Jurnal Pengabdian Kepada Masyarakat Vol 3 No 2 (2025): APPA : Jurnal Pengabdian kepada Masyarakat
Publisher : Shofanah Media Berkah

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Abstract

Dalam era digital saat ini, kolaborasi menjadi kunci utama dalam meningkatkan produktivitas dan efisiensi di lingkungan perusahaan, terutama di sektor IT. Microsoft Teams sebagai platform kolaborasi digital menawarkan berbagai fitur yang mendukung komunikasi dan kerja sama antar karyawan. Penelitian ini bertujuan untuk menganalisis efektivitas penggunaan Microsoft Teams dalam meningkatkan kolaborasi di perusahaan IT. Metode yang digunakan adalah studi literatur dengan mengumpulkan data dari berbagai sumber yang relevan. Hasil penelitian menunjukkan bahwa Microsoft Teams dapat meningkatkan interaksi, efisiensi kerja, dan kepuasan karyawan dalam bekerja secara kolaboratif.
Co-Authors Angga Firman Hidayat Anggito Gabehalomoan Dwi Ihwanto Indra Kristianto Kazhem Avie AlHakim Umarona Marcel Wang Mohammad Nur Arie Muhammad Santoso