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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JSAI (Journal Scientific and Applied Informatics) Jurnal Pengabdian Masyarakat Nasional Jurnal Publikasi Ilmu Komputer dan Multimedia
Imam Mulya
Universitas Dian Nusantara
Computer Science & IT Decision Sciences, Operations Research & Management Engineering

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PENINGKATAN KETERAMPILAN KOLABORASI DIGITAL SISWA SMP ISLAM AL ISRA MELALUI PEMANFAATAN GOOGLE WORKSPACE FOR EDUCATION Imam Mulya; Desi Ramayanti; Boy Yuliadi
Jurnal Pengabdian Masyarakat Nasional Vol 6, No 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pemanas.v6i1.38515

Abstract

Keterampilan kolaborasi digital merupakan kompetensi esensial pada era Society 5.0. Namun, observasi di SMP Islam Al Isra menunjukkan bahwa siswa masih menerapkan metode pengerjaan tugas kelompok secara konvensional dan terfragmentasi, yang berdampak pada inefisiensi waktu dan minimnya transparansi kontribusi. Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan untuk meningkatkan keterampilan kolaborasi digital siswa melalui pemanfaatan ekosistem Google Workspace for Education (GWS). Metode pelaksanaan menggunakan pendekatan Project-Based Learning (PBL) yang terbagi dalam lima tahapan: pemetaan awal, pelatihan teknis dengan komposisi 70% praktik langsung (hands-on), pendampingan studi kasus berkelanjutan, evaluasi, serta penyusunan peta jalan keberlanjutan. Intervensi ini melibatkan 20 siswa representasi dari kelas 8 dan 9. Hasil evaluasi menunjukkan peningkatan pemahaman kognitif siswa sebesar 40% secara keseluruhan, dengan lonjakan kompetensi hingga 50% pada penguasaan fitur kolaborasi tingkat lanjut (Version History dan Comment Log). Transformasi metode kerja berbasis komputasi awan ini berhasil memangkas inefisiensi waktu, meningkatkan akuntabilitas individu, dan secara efektif mengeliminasi praktik anggota pasif (free-rider). Tingkat kepuasan peserta mencapai 92,5%. Program ini ditutup dengan penyerahan modul panduan dan video tutorial kepada guru mitra untuk menjamin keberlanjutan serta replikasi program secara mandiri di masa mendatang.
PENINGKATAN KETERAMPILAN KOLABORASI DIGITAL SISWA SMP ISLAM AL ISRA MELALUI PEMANFAATAN GOOGLE WORKSPACE FOR EDUCATION Imam Mulya; Desi Ramayanti; Boy Yuliadi
Jurnal Pengabdian Masyarakat Nasional Vol. 6 No. 1 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/pemanas.v6i1.38515

Abstract

Keterampilan kolaborasi digital merupakan kompetensi esensial pada era Society 5.0. Namun, observasi di SMP Islam Al Isra menunjukkan bahwa siswa masih menerapkan metode pengerjaan tugas kelompok secara konvensional dan terfragmentasi, yang berdampak pada inefisiensi waktu dan minimnya transparansi kontribusi. Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan untuk meningkatkan keterampilan kolaborasi digital siswa melalui pemanfaatan ekosistem Google Workspace for Education (GWS). Metode pelaksanaan menggunakan pendekatan Project-Based Learning (PBL) yang terbagi dalam lima tahapan: pemetaan awal, pelatihan teknis dengan komposisi 70% praktik langsung (hands-on), pendampingan studi kasus berkelanjutan, evaluasi, serta penyusunan peta jalan keberlanjutan. Intervensi ini melibatkan 20 siswa representasi dari kelas 8 dan 9. Hasil evaluasi menunjukkan peningkatan pemahaman kognitif siswa sebesar 40% secara keseluruhan, dengan lonjakan kompetensi hingga 50% pada penguasaan fitur kolaborasi tingkat lanjut (Version History dan Comment Log). Transformasi metode kerja berbasis komputasi awan ini berhasil memangkas inefisiensi waktu, meningkatkan akuntabilitas individu, dan secara efektif mengeliminasi praktik anggota pasif (free-rider). Tingkat kepuasan peserta mencapai 92,5%. Program ini ditutup dengan penyerahan modul panduan dan video tutorial kepada guru mitra untuk menjamin keberlanjutan serta replikasi program secara mandiri di masa mendatang.
Model Replikasi Data Low-Cost Berbasis Rsync-Syncthing untuk Mitigasi Kehilangan Data pada UMKM Imam Mulya; Desi Ramayanti; Geri Ramadansyah
JSAI (Journal Scientific and Applied Informatics) Vol 9 No 2 (2026): Juni
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jsai.v9i2.11149

Abstract

Micro, Small, and Medium Enterprises (MSMEs) generally store operational data on a single device without a structured backup mechanism, making them vulnerable to permanent data loss caused by hardware failure, user error, or cyberattacks. This study aimed to design and validate a low-cost data replication model based on the open-source software Rsync and Syncthing as a data loss mitigation solution that MSMEs can implement independently. The study employed a quantitative experimental approach following the Network Development Life Cycle (NDLC) framework. The tests utilized the real-world UCI Online Retail transaction dataset (531,282 rows), restructured into three MSME operational file profiles (retail, culinary, services) and evaluated under four scenarios: initial sync, incremental update, 512 KB/s network limitation, and failure simulation. The results showed that Rsync completed the initial sync in 0.035–0.195 seconds and incremental updates in 0.049–0.139 seconds; the many-small-files overhead was empirically confirmed, with the retail profile throughput 11.6 times lower than the services profile; the delta-transfer mechanism saved up to 90% of bandwidth; under a limited network, both tools converged at the bandwidth limit (±4 Mbps); and the Recovery Time Actual (RTA) reached 0.028–0.366 seconds with 100% data integrity verified by MD5 checksum.
A Data-Quality-Aware Machine Learning Framework for Magnitude Homogenization in Indonesia's Earthquake Catalog Desi Ramayanti; Bias Yulisa Geni; Imam Mulya
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 5 (2026): October 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i5.8137

Abstract

Indonesia’s national seismological agency, BMKG, reports earthquake magnitudes under ten distinct, non-interchangeable scale labels in its public catalog (2020–2025, 65,788 events), with no published conversion to a common Mw-equivalent scale. Existing machine learning studies using this catalog have assumed a homogeneous magnitude scale, and instrument-quality metadata in the catalog has never been used as a covariate for magnitude-conversion bias or uncertainty. This study introduces a powerful hybrid magnitude-homogenization framework. For events with a native moment-magnitude anchor (the body-wave family), we perform self-supervised internal calibration and tie it to the global Scordilis relation. For events without such an anchor, the local/regional family, we apply a literature-based conversion using the Egyptian National Seismic Network formula. A quality-aware machine learning model is then trained to estimate homogenized magnitude with calibrated uncertainty, conditioned on instrument-quality features. The validation process uncovers and quantifies a selection bias of approximately 1.8 to 2.1 magnitude units in BMKG’s internal moment-magnitude reporting, reflecting that natively Mw-labeled events are a non-representative, significance-selected subsample rather than ground truth. The quality-aware model reduces point-prediction error (RMSE) by 50 to 70% and achieves better-calibrated 80% prediction intervals than a baseline without quality features. This combination of a practical homogenization solution and an explicit diagnostic framework is intended to be of direct use not only to BMKG and Indonesian seismology, but to any national seismological agency maintaining a similarly heterogeneous magnitude catalog without paired, same-event, multi-scale readings.
ANALISA DAN DESAIN SISTEM INFORMASI PEMBAYARAN SPP DAN BIAYA SEKOLAH: (STUDI KASUS PADA YAYASAN MANDALAHAYU BEKASI) Uus Rusmawan; Imam Mulya
Jurnal Publikasi Ilmu Komputer dan Multimedia Vol. 3 No. 2 (2024): Mei: Jurnal Publikasi Ilmu Komputer dan Multimedia
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupikom.v2i1.1096

Abstract

Currently private schools are starting to emerge in various places with various levels of education ranging from PAUD, Kindergarten, Elementary School, Middle School, MTs, High School, Vocational School and even tertiary institutions. An educational institution definitely needs a data processing system for tuition payments and other costs such as building fees, LKS, Eskul, Student Council and the like for the continuity of the institution's operations. The problems that most often arise in this case are reports of payments that have been paid and arrears grouped based on certain criteria. The report is very important as a basis for decision making for school management to improve service and quality of education. The Mandalalahayu foundation is an institution engaged in the field of education starting from the early childhood or kindergarten, elementary, MI, junior high, MTs, high school and vocational school levels. The management of school administration fee payments is quite complicated because there are several levels of education. It is on this basis that this research needs to be carried out. The method used is Rapid Application Development (RAD), an application made with desktop programming using VB.Net and Sqlserver. Application testing using blackbox. The results of this study can be used for all levels of education from kindergarten to tertiary institutions and even for all types of school or campus fee payments in general.
Co-Authors Bias Yulisa Geni Boy Yuliadi Desi Ramayanti Geri Ramadansyah Uus Rusmawan