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All Journal Jurnal Fitopatologi Indonesia Jurnal Agroteknos Sistemasi: Jurnal Sistem Informasi Al Ishlah Jurnal Pendidikan Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Pengabdian Pada Masyarakat INOVTEK Polbeng - Seri Informatika Dinamisia: Jurnal Pengabdian Kepada Masyarakat MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Digital Zone: Jurnal Teknologi Informasi dan Komunikasi JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Teknologi Dan Sistem Informasi Bisnis Zonasi: Jurnal Sistem Informasi Jurnal Teknik Informatika (JUTIF) Community Empowerment Journal of Electrical Engineering and Computer (JEECOM) Journal Of Human And Education (JAHE) J-COSCIS : Journal of Computer Science Community Service CONSEN: Indonesian Journal of Community Services and Engagement Jurnal Teknologi Komputer dan Informasi Contributions of Central Research Institute for Agriculture GMPI Conference Series JURNAL KARYA ILMIAH MULTIDISIPLIN INOVTEK Polbeng - Seri Informatika IndoAI: Journal of Artificial Intelligence and Computational Logic Journal of Community Outreach in Science & Society
Lisnawita Lisnawita
Fakultas Ilmu Komputer, Universitas Lancang Kuning
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Medicine & Pharmacology Physics Public Health Social Sciences Other

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Transformasi Digital Rekrutmen SDM Organisasi Filantropi melalui Pelatihan Aplikasi Expert Choice Loneli Costaner; Lisnawita
JCoos: Journal of Community Outreach in Science & Society Vol. 1 No. 1 (2026): Journal of Community Outreach in Science & Society (JCoos)
Publisher : JCoos: Journal of Community Outreach in Science & Society

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Abstract

Yayasan Khoiru Ummah merupakan organisasi pendidikan filantropi yang banyak menyerap tenaga fundraiser dan administrasi. Permasalahan utama yang dialami mitra adalah belum optimalnya sistem seleksi sumber daya manusia karena ketiadaan standar baku penentuan keputusan yang cepat dan akurat. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk melakukan transformasi digital pada sistem rekrutmen mitra melalui pelatihan penggunaan sistem pendukung keputusan menggunakan aplikasi Expert Choice. Metode pelaksanaan pengabdian terdiri dari tahap observasi, pre-test, pelatihan teori dan praktik selama delapan jam, serta post-test. Evaluasi tingkat pemahaman peserta diukur menggunakan instrumen kuesioner berskala Guttman. Hasil evaluasi menunjukkan bahwa pemahaman awal peserta terhadap metode keputusan terkomputerisasi hanya sebesar 18%. Setelah mengikuti pelatihan secara komprehensif, pemahaman peserta melonjak signifikan menjadi 97.5%. Dapat disimpulkan bahwa pelatihan aplikasi Expert Choice memberikan persentase kenaikan pemahaman sebesar 79.5% dan secara efektif membekali pengurus yayasan dalam mengambil keputusan rekrutmen yang lebih terstruktur dan efisien
Pelatihan Pembuatan Media Pembelajaran Interaktif Berbasis Teknologi untuk meningkatkan Kompetensi Guru Lisnawita; Lucky Lhaura Van FC; Elvira Asril
JCoos: Journal of Community Outreach in Science & Society Vol. 1 No. 1 (2026): Journal of Community Outreach in Science & Society (JCoos)
Publisher : JCoos: Journal of Community Outreach in Science & Society

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Conventional lecture-based still dominates the learning process at one of the vocational high schools (SMK) in Pekanbaru causing students to be less focused and less motivated in participating in teaching and learning activities. This community service program aims to improve teachers’ knowledge and skill in developing interactive learning media using an interactive presentation application. The training was carried out in four stages, namely pre-test, material introduction and explanation, demonstration and practice, and post-test and evaluation. The activity was held at laboratory of the Faculty of Computer Science, Universitas Lancang Kuning, with five teachers as participants. Participants’ level understanding before and after the training was measured using the Guttman Scale. The evaluation result showed an increase in the average level of understanding from 7.50% in the pre-test to 90.50% in the post-test, representing an improvement of 85%. The training proved effective in enhancing teachers’ ability to design interactive learning materials while also fostering their enthusiasm for the use of learning technology
Deep Learning Driven Ransomware Detection: A Bibliometric Analysis of Research Trends, Knowledge Structure, and Future Directions Guntoro Guntoro; Lisnawita Lisnawita; Loneli Costaner; Wenni Syafitri
Journal of Electrical Engineering and Computer (JEECOM) Vol 8, No 1 (2026)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v8i1.17163

Abstract

Ransomware has become a major cybersecurity threat because it encrypts data, disrupts services, and evolves rapidly beyond conventional signature-based detection. This study presents a bibliometric analysis of deep learning-driven ransomware detection research, with emphasis on behavioral and dynamic analysis, API-call sequences, system calls, and future research directions. A total of 481 records were retrieved from the Web of Science Core Collection; after screening one retracted publication and two editorial materials, 478 eligible records remained. The eligible corpus was analyzed using Biblioshiny and Bibliometrix. Results show rapid growth from 2022 to 2025, with IEEE Access, Computers & Security, Sensors, Scientific Reports, and International Journal of Information Security among the prominent sources. Keyword and thematic analyses indicate a shift from static detection toward behavior-aware, sequence-based, explainable, and real-time ransomware detection. The findings highlight the need for robust datasets, cross-dataset validation, low-latency inference, explainable deep learning, and integrated detection systems for practical cybersecurity deployment.
Co-Authors Abdullah Abdullah Ahmad Rafiqi Tantawi Ahmad Zamsuri, Ahmad Al-ghifari, Faza Anto Ariyanto Antonius Fernando Asma Alhusna Bakar, Juhaida Abu Bambang HADISUTRISNO Budia Misri Costaner, Loneli Costaner Dafwen Toresa David Setiawan Desmawan, Wahyu Edriyansyah Elvira Asril, Elvira Evi Lianda Fajrizal Fajrizal, Fajrizal Fana Wiza, Fana Febi Yanto Fenty Widya Fuad Renadi GEDE SUASTIKA Guntoro Guntoro, Guntoro Hamidah Hanum Hartana, I Haryono Semangun Ikhsan Hidayat Irda Safni Jeni Wardi Johar, Olivia Anggie Keumala Anggraini Khairunnisa Lubis, Khairunnisa Latifa Siswati Loneli Costaner loneli costaner Lucky Lhaura Van FC Lucky Lhaura Van FC, Lucky Lhaura Mariza Devega Monika, Winda Monika Muhamad Sadar, Muhamad Musfawati Musfawati Musfawati Musfawati Musfawati Musfawati Mustika Mustika Muzdalifah , Indah Muzdalifah, Indah NABABAN, TRIWANTO Novisa Rahmadani novi Nugraha, Alif Nurhamin Nurhamin Pandu Pratama Putra, Pandu Pratama Panigoran, Abdullah Rasli, Ruziana Mohamad Rezmia Febrina Ririn Sari Wati Rizky Octa Putri Charin Rometdo Muzawi RR. Ella Evrita Hestiandari Saragih, Wismaroh Sanniwati Sitepu, Suzanna Fitriani Supramana Susi Handayani Sutejo Sutejo Syafrika Deni Rizki Tantawi, A. Rafiqi Tiara Toresa, Dafwen Wenni Syafitri Yogi Yunefri, Yogi