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All Journal Al-Khidmat : Jurnal Ilmiah Pengabdian Kepada Masyarakat Computer Science and Information Technologies Online Learning in Educational Research
Yana Aditia Gerhana
UIN Sunan Gunung Djati Bandung
Religion Humanities Computer Science & IT Education Engineering Social Sciences Other

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DIGITALISASI LAYANAN MINIMUN DESA SEBAGAI UPAYA PENINGKATAN LAYANAN DESA BINAAN Nur Lukman; Fatimah Umar; Yana Aditia Gerhana
Al-Khidmat Vol 5, No 1 (2022): Jurnal Al-Khidmat : Jurnal Ilmiah Pengabdian Kepada Masyarakat
Publisher : Pusat Pengabdian kepada Masyarakat LP2M UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/jak.v5i1.17431

Abstract

Perkembangan teknologi informasi dan munculnya industry 4.0 merupakan tantangan besar bagi seluruh masyarakat Indonesia termasuk Desa Sindangsuka Kecamatan Cibatu Garut, yang harus menyesuaikan dengan perkembangan ini, tahun 2019 merupakan awal dari Desa Sindangsuka munculnya komitmen untuk mengikuti perkembangan teknologi dengan mendigitalisaasi layanan minimum desa, karena pada tahun ini lahir covid-19 yang membuat layanan desa yang tadinya berjalan normal menjadi tehambat, karena protocol harus diterapkan dan pelayanan desapun tidak berjalan dengan semestinyam, sehingga pemanfaatan teknologi menjadi pilihan sebagai solusi untuk masalah tersebut. Terdapat dua kegiatan besar dalam pengabdian ini, diantaranya adalah perancangan dan pembuatan sistem sesuai dengan analisis kebutuhan pengguna dilihat dari urgensi desa terkait, dan yang kedua adalah pelatihan aplikasi layanan minimun desa yang telah dibangun melalui beberapa tahap, tahap pertama merupakan tahap pelatihan terhadap admin sistem, yaitu aparat desa yang ditugasi sebagai admin aplikasi, pelatihan terhadap perwakilan wagra yang diwakili oleh Ketua RW, untuk rekomendasi kedepannya sesuai dengan roadmap yang telah dibuat sebelumnya, yaitu pelatihan yang dilakukan oleh desa dengan instruktur setiap ketua RW yang telah melakukan pelatihan sebelumnya dan dijadwalkan oleh pihak desa.
Acrachemmics (Acid Rain in Chemical Comics) Oriented to Chemical Literacy Rifa Khaerunnisa; Ferli Septi Irwansyah; Citra Deliana Dewi; Iis Dahriah; Yana Aditia Gerhana
Online Learning In Educational Research (OLER) Vol. 5 No. 1 (2025): Online Learning in Educational Research
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/oler.v5i1.721

Abstract

Understanding chemical concepts such as acid rain can be challenging for students due to their abstract and complex nature. To address this, a chemical literacy-based learning approach using comic media. Acrachemmics (Acid Rain in Chemical Comics) was developed to enhance student comprehension. This research aims to develop and evaluate electronic comic media especially Acrachemmics (Acid Rain in Chemical Comics). A Design-Based Research (DBR) methodology was employed, comprising three phases: analysis, design, and development. The validation test yielded a Pearson correlation coefficient (r) of 0.88, indicating a high level of content validity. Additionally, the feasibility assessment, which examined aspects of material content, visual communication, software engineering, and language, produced an average score of 84 percent, reflecting a high level of practical usability. These results suggest that Acrachemmics is both a valid and feasible educational media for teaching acid rain concepts. By presenting scientific content through engaging visuals and narrative storytelling, Acrachemmics facilitates student understanding in a more accessible and enjoyable format
Vector space model, term frequency-inverse document frequency with linear search, and object-relational mapping Django on hadith data search Ichsan Taufik; Agra Agra; Yana Aditia Gerhana
Computer Science and Information Technologies Vol 5, No 3: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i3.p306-314

Abstract

For Muslims, the Hadith ranks as the secondary legal authority following the Quran. This research leverages hadith data to streamline the search process within the nine imams’ compendium using the vector space model (VSM) approach. The primary objective of this research is to enhance the efficiency and effectiveness of the search process within Hadith collections by implementing pre-filtering techniques. This study aims to demonstrate the potential of linear search and Django object-relational mapping (ORM) filters in reducing search times and improving retrieval performance, thereby facilitating quicker and more accurate access to relevant Hadiths. Prior studies have indicated that VSM is efficient for large data sets because it assigns weights to every term across all documents, regardless of whether they include the search keywords. Consequently, the more documents there are, the more protracted the weighting phase becomes. To address this, the current research pre-filters documents prior to weighting, utilizing linear search and Django ORM as filters. Testing on 62,169 hadiths with 20 keywords revealed that the average VSM search duration was 51 seconds. However, with the implementation of linear and Django ORM filters, the times were reduced to 7.93 and 8.41 seconds, respectively. The recall@10 rates were 79% and 78.5%, with MAP scores of 0.819 and 0.814, accordingly.
Co-Authors Agra Agra Citra Deliana Dewi Fatimah Umar Iis Dahriah Nur Lukman Rifa Khaerunnisa Taufik, Ichsan