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All Journal Sistemasi: Jurnal Sistem Informasi Progresif: Jurnal Ilmiah Komputer JURNAL PENELITIAN EKONOMI DAN AKUNTANSI (JPENSI) Jurnal Teknologi Informasi dan Multimedia TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Media Jurnal Informatika Riset, Ekonomi, Akuntansi dan Perpajakan (REKAN) JCOMENT (Journal of Community Empowerment) Paradigma Bakti Sekawan : Jurnal Pengabdian Masyarakat
Muhammad Haris Nasri
Universitas Bumigora
Religion Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Electrical & Electronics Engineering Health Professions Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Intervensi Edukasi Digital Marketing untuk Peningkatan Pengetahuan Siswa Siswi Madrasah Aliyah Nasri, Muhammad Haris; Hammad, Rifqi; Husaini, Rahayun Amrullah; Roodhi, Mohammad Najid; Pratama, Gede Yogi
Bakti Sekawan : Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2026): Juni
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/bakwan.v6i1.913

Abstract

Advances in digital technology require young people to possess adequate digital literacy skills, particularly in digital marketing, which is now a crucial skill in education, the workplace, and entrepreneurship. However, observations indicate that Madrasah Aliyah (MA) students still lack a grasp of digital marketing concepts and practices. This community service activity aims to improve MA students' knowledge and understanding of basic digital marketing concepts, social media promotion strategies, digital branding principles, and consumer behavior in the digital world. The activity is divided into three stages: preparation, implementation, and evaluation. The preparation phase includes initial discussions with schools and the development of training materials. During the implementation phase, materials are delivered through interactive lectures and discussions, followed by simple practices using digital platforms. Assessments were conducted using pre- and post-tests to measure student knowledge gains. The results showed significant improvement, with an average pre-test score of 42.7 rising to 82.4 in the post-test. This 39.7-point increase indicates that the training successfully strengthened students' understanding of digital marketing concepts. This activity is effective in improving MA students' digital literacy and is relevant to continue with mentoring to better prepare them to face the challenges of the digital era
Pengembangan Platform Intervensi Status Gizi Ibu Hamil Berbasis Integrasi Case-Based Reasoning dan Teori Dempster–Shafer Nasri, Muhammad Haris; Hammad, Rifqi; Pratama, Gede Yogi
Jurnal Teknologi Informasi dan Multimedia Vol. 8 No. 1 (2026): February
Publisher : Sekawan Institut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v8i1.905

Abstract

Nutritional problems among toddlers and pregnant women remain a major public health issue in Indonesia, necessitating a decision-support system capable of providing rapid and accurate nu-tritional diagnosis and intervention. This study develops an expert system integrating Case-Based Reasoning (CBR) and the Dempster–Shafer theory to diagnose the nutritional status of toddlers and pregnant women. The CBR method is employed to identify solutions for new cases based on similarity to previous cases, while the Dempster–Shafer theory is utilized to handle un-certainty and combine multiple forms of evidence derived from anthropometric, clinical, and health history parameters. The system was tested using 20 cases involving variables such as body weight, height, mid-upper arm circumference (MUAC), hemoglobin level (Hb), gestational age, and dietary intake. The results indicate that the system achieved an accuracy of 90%, an average confidence level of 82.7%, and a diagnostic precision of 88% when compared to expert nutrition-ists’ assessments. Diagnostic discrepancies occurred in only two cases (10%), both of which ex-hibited parameter values near the classification thresholds. These findings demonstrate that the integration of CBR and the Dempster–Shafer theory enhances the reliability of expert systems in generating accurate and measurable nutritional diagnoses despite data uncertainty, and shows strong potential as a decision-support tool for nutritionists in providing faster, more objective, and evidence-based nutritional interventions.
Co-Authors Abdurahman Abdurrahman Baiq Dinda Puspita Ayu Christopher Michael Lauw Defel Septian Fadli, M. Najmul Hammad, Rifqi Husain Husain Husaini, Rahayun Amrullah I Nyoman Switrayana I Wayan Bratayasa Ika Ajiani Kartarina, Kartarina Lilik Widyawati Mardedi, Lalu Zazuli Azhar Melati Rosanensi Miftahul Madani Muhammad Mujahid Dakwah Pahrul Irfan Pratama, Gede Yogi Rizky Raharjo rodhi, mohammad najib Roodhi, Mohammad Najid Setiawan, Pandu Dwi Sirojul Hadi Tomi Tri Sujaka Triwijoyo, Bambang Krismono Wibisanaa, Bayu Widia Febriana Zamroni Alpian Muhtarom Zefanya Andryan Girsang