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All Journal Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Sistem Cerdas Indonesian Journal of Electrical Engineering and Computer Science
Fadhil Hidayat
Institut Teknologi Bandung
Aerospace Engineering Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Neuroscience Transportation

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Real-time passenger social distance monitoring with video analytics using deep learning in railway station Iqbal Ahmad Dahlan; Muhammad Bryan Gutomo Putra; Suhono Harso Supangkat; Fadhil Hidayat; Fetty Fitriyanti Lubis; Faqih Hamami
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp773-784

Abstract

Recently, at the end of December, the world faced a severe problem which is a pandemic that is caused by coronavirus disease. It also must be considered by the railway station's authorities that it must have the capability of reducing the covid transmission risk in the pandemic condition. Like a railway station, public transport plays a vital role in managing the COVID-19 spread because it is a center of public mass transportation that can be associated with the acquisition of infectious diseases. This paper implements social distance monitoring with a YOLOv4 object detection model for crowd monitoring using standard CCTV cameras to track visitors using the DeepSORT algorithm. This paper used CCTV surveillance with the actual implementation in Bandung Railway Station with the accuracy at 96.5 % result on people tracking with tested in real-time processing by using minicomputer Intel(R) Xeon(R) CPU E3-1231 v3 3.40GHz RAM 6 GB around at 18 FPS.
Web-Based Anomaly Detection for Smart Urban Living: Drone Photography and Videography Hermanus, Davy Ronald; Suhono Harso Supangkat; Fadhil Hidayat
Jurnal Sistem Cerdas Vol. 6 No. 2 (2023)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v6i2.330

Abstract

Smart cities aim to enhance the quality of life for urban dwellers through technological advancements. Machine Learning (ML) plays a crucial role in various domains of Smart X, including education, transportation, healthcare, environment, and living. However, integrating ML into daily life poses challenges. This paper presents a web-based ML application prototype that effectively augments the daily quality of life for communities. It specifically explores the advantages of web-based photography-videography-enabled drones for citizen needs and city inspections. The application utilizes ML to detect anomalies and identify normal objects, addressing the common challenge of distinguishing normalcy from abnormality. Examples include assessing the structural integrity of house components, analyzing medical images, and evaluating the quality of fruits or hydroponic plants. The study employs exploratory and experimental methods, utilizing teachable machine learning and the Python-based Streamlit application. Experimental results demonstrate that web-based photo and video analysis expedites the detection of normal and abnormal images and videos, surpassing the limitations of visual examination with the naked eye. This research contributes to advancing ML applications in smart living for urban communities.
Perancangan Sistem Manajemen Keamanan Informasi (SMKI) pada Dinas Kependudukan dan Pencatatan Sipil Berbasis Iso/Iec 27001:2022 untuk Penguatan Perlindungan Data Pribadi dan Kedaulatan Digital Armi Satria; Fadhil Hidayat
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 8, No 5 (2025): Oktober 2025
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v8i5.9611

Abstract

Abstrak - Keamanan informasi merupakan aspek krusial dalam pengelolaan data kependudukan yang memiliki sensitivitas tinggi. Penelitian ini bertujuan untuk merancang Sistem Manajemen Keamanan Informasi (SMKI) berbasis ISO/IEC 27001:2022 yang terintegrasi dengan Undang - Undang Nomor 27 Tahun 2022 tentang Pelindungan Data Pribadi (UU PDP) dan Permendagri Nomor 57 Tahun 2021. Penelitian ini menggunakan pendekatan Design Research Methodology (DRM) untuk mengidentifikasi permasalahan, menganalisis kondisi eksisting, merancang model SMKI, serta mengevaluasinya melalui Focus Group Discussion (FGD) dan analisis SWOT. Hasil penelitian menunjukkan adanya kesenjangan signifikan pada tata kelola keamanan informasi Disdukcapil, terutama pada aspek kebijakan, peran organisasi, kapasitas SDM, dan infrastruktur teknis. Model SMKI yang dikembangkan meliputi penetapan kebijakan keamanan, pembentukan unit khusus keamanan informasi, penunjukan Data Protection Officer (DPO), penerapan kontrol teknis Annex A ISO/IEC 27001:2022, serta penyusunan roadmap implementasi bertahap. Hasil evaluasi menunjukkan bahwa model yang diusulkan relevan, dapat diterapkan, dan mampu meningkatkan perlindungan data pribadi serta memperkuat kedaulatan digital.Kata kunci: Disdukcapil; DRM; ISO/IEC 27001:2022; Keamanan informasi; Kedaulatan digital; UU PDP; Abstract - Information security is a crucial aspect in managing population data, which possesses a high level of sensitivity. This study aims to design an Information Security Management System (ISMS) based on ISO/IEC 27001:2022, integrated with Law No. 27 of 2022 on Personal Data Protection (PDP Law) and Minister of Home Affairs Regulation No. 57 of 2021. The research adopts the Design Research Methodology (DRM) approach to identify problems, analyze existing conditions, design the ISMS model, and evaluate it through Focus Group Discussions (FGDs) and SWOT analysis. The findings indicate significant gaps in the current information security governance of Disdukcapil, particularly in policy frameworks, organizational roles, human resource capacity, and technical infrastructure. The developed ISMS model includes the establishment of security policies, the creation of a dedicated information security unit, the appointment of a Data Protection Officer (DPO), the implementation of technical controls from Annex A of ISO/IEC 27001:2022, and the formulation of a phased implementation roadmap. Evaluation results show that the proposed model is relevant, implementable, and capable of enhancing personal data protection as well as strengthening digital sovereignty.Keywords: Disdukcapil; Digital Sovereignty; DRM; Information Security; ISO/IEC 27001:2022; PDP Law;
Co-Authors Armi Satria Dahlan, Iqbal Ahmad Faqih Hamami Fetty Fitriyanti Lubis Hermanus, Davy Ronald Muhammad Bryan Gutomo Putra Suhono Harso Supangkat