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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Teknologi INFORMAL: Informatics Journal Fountain of Informatics Journal JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research CogITo Smart Journal JURNAL PENGABDIAN KEPADA MASYARAKAT SISFO JURTEKSI Jurnal ICT : Information Communication & Technology METIK JURNAL Jurnal Abdidas Jurnal Teknik Informatika (JUTIF) Jurnal Pengabdian dan Kewirausahaan Bit (Fakultas Teknologi Informasi Universitas Budi Luhur) Jurnal Abdimastek (Pengabdian Masyarakat Berbasis Teknologi)
Hadi Santoso
Teknik Informatika, Universitas Mercubuana
Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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IMAGE CLASSIFICATION OF HOUSEHOLD BENEFICIARIES OF DIRECT CASH ASSISTANCE USING EFFICIENTNET IN DKI JAKARTA PROVINCE Adam, Dzikri; Santoso, Hadi
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 4 (2024): JUTIF Volume 5, Number 4, August 2024 - SENIKO
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.4.2121

Abstract

This study investigates the application of the EfficientNet architecture for image classification to determine eligible recipients of direct cash assistance among households in Jakarta Province. As government efforts to provide aid to citizens increase, it becomes essential to have a system that can accurately recognize and classify eligible populations. Misallocation of aid remains a prevalent issue, often leading to undeserving individuals receiving assistance, which has detrimental consequences. The primary focus is on leveraging deep learning, specifically EfficientNet, to address these challenges. The dataset used consists of house images categorized into two classes: "Mampu" and "Tidak Mampu," which were collected through personal photography and web scraping from Google. The research aims to develop an algorithm that accurately classifies and analyzes the types and eligibility of residential buildings within the general population. Data collection and processing challenges are addressed to ensure the training of high-quality, representative image datasets. The model has demonstrated a high accuracy rate of approximately 95.03% on the validation data.
SOSIALISASI PENGENALAN APLIKASI STUNTING DAN TUMBUH KEMBANG BALITA PADA DESA CIPUTRI –KABUPATEN CIANJUR Hakim, Lukman; Santoso, Hadi; Yusuf, Mohamad
Jurnal Pengabdian dan Kewirausahaan Vol 9, No 1 (2025): Jurnal Pengabdian dan Kewirausahaan
Publisher : Universitas Bunda Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30813/jpk.v9i1.8190

Abstract

Government Policies on Improving Nutritious Eating as a Priority in Combating Stunting The government’s policy to enhance nutritious eating is currently a priority in addressing stunting, as outlined in Presidential Regulation No. 72 of 2021 on Stunting Reduction. Stunting is a growth impairment condition caused by recurrent malnutrition. Ciputri Village, located in Pacet District, Cianjur Regency, with an area of 6.36 hectares and comprising four hamlets, still has a stunting prevalence of 1.03% among toddlers. A community service program involving LLDIKTI 3, in collaboration with the Cianjur Regency and several universities in Jakarta, was conducted. The purpose of the program was to provide understanding and socialization on the impacts and factors contributing to stunting in toddlers, as well as the use of a stunting application for monitoring the growth and development history of toddlers. The community service activities included preparatory observations and implementation on November 13-14, 2024. The program involved the presentation of the stunting and growth monitoring application and explanations of facial recognition for accessing the application. The program was attended by 25 participants, and the results were evaluated through a questionnaire. Based on the questionnaire, the expectation score was 3.52, while the reality score was 3.48 on a scale of 1-4, indicating overall satisfaction with the community service program.
Co-Authors Adam, Dzikri Ade Septryanti Ade Septryanti Ade Septryanti Afiyati, Afiyati Agus Harjoko Agus Harjoko Aruriansyah, Syariz Nadhifa Arvina Destiyani Cherid, Anis Dita Meliansari Elly Yanuarti Eza Budi Perkasa Hakim, Lukman Hanif, Ilham Helna Wardhana Henny Rahayuningsih Hensceh Gunawan Hilyah Magdalena Hilyah Magdalena Hilyah Magdalena Hilyah Magdalena Hilyah Magdalena Hilyah Magdalena Irene Chrismisel Tella Jokonowoa, Bambang Karina Rochmayani Karina Rochmayani Litha Leonita Lukman Hakim Misni, Misni Mohamad Yusuf Mohamad Yusuf Nursuci Aprilianiza Oktoranda oktoranda Rochmah, Dwi Anindyani Wahyuni Sahara