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All Journal Jurnal Sistem Cerdas Phinisi Applied Accounting Journal
Hidayat, Fadhil
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Automotive Engineering Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering

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Face Recognition-Based Surveillance System in Mining Industry Hidayat, Fadhil; Elviani, Ulva; Agil Alunjati, Figo; Furqan Alfuady, Muhammad
Jurnal Sistem Cerdas Vol. 7 No. 2 (2024)
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v7i2.434

Abstract

Access control in mining construction areas is crucial for the operations of mining companies. This access control functions to secure and restrict unauthorized parties from mining activities. Violations of access rights in the mining industry result in significant losses for companies. This access control can also be utilized to record employee attendance, serving as input for the contract work system commonly applied in mining areas. Closed-circuit television (CCTV) is commonly used to monitor activities; however, the current use of CCTV still requires direct human observation, which may result in important events being overlooked. The functionality of these CCTVs can be enhanced to manage access rights and monitor employee attendance to support company operations through face recognition methods. In this study, a system design was carried out through a research approach to determine the technology to be used in the system. The development of a face recognition-based access control system was conducted based on system engineering methodology. This development includes system requirements analysis, the design of a face recognition-based access control system, implementation, and system performance evaluation. The resulting system was tested through simulation processes based on actual field conditions, and the test results showed that the system could recognize faces registered in the dataset and identify subjects not registered in the dataset with an accuracy of 60%, precision of 96%, recall of 58%, and an F-score of 72%. Additionally, the system was able to connect to a database to store face recognition results and then display them on an employee attendance monitoring dashboard. The delay between the face recognition system and actual time ranged from 2-4 seconds and was still tolerable.
Mini Drone-Based Precision Agriculture for Indonesian MSMEs: A Low-Cost AI-Assisted Monitoring System Hermanus, Davy Ronald; Supangkat, Suhono Harso; Hidayat, Fadhil
Jurnal Sistem Cerdas Vol. 8 No. 2 (2025): August
Publisher : APIC

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37396/jsc.v8i2.555

Abstract

This research introduces a cost-effective drone-based agricultural monitoring system targeted at Indonesia’s smallholder farming enterprises (MSMEs). By leveraging mini drones (DJI Mini 2 SE) and lightweight AI models, farmers can segment land, detect vegetation health, and count crops using simple RGB video analysis. The system utilizes a mobile-to-YouTube private livestream pipeline and performs video processing offline using semantic segmentation (U-Net) and object detection (YOLOvX). The prototype system—tested on a 300m² vegetable plot—shows promising results with over 90% detection accuracy and effective land use visualization. The interface, built with Streamlit, provides real-time insights, affordability, and aligns with Smart City goals of accessibility and sustainability.
Analysis of Financial Statements in Measuring Financial Performance at PT. Matahari Department Store Tbk Hidayat, Fadhil; Rifai, Tri Akbar; Utami, Indah Hajar; Sarwinda, Siti; Idris, Hariany
Phinisi Applied Accounting Journal Vol 1, No 2 (2023): OCTOBER
Publisher : Universitas Negeri Makassar

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Abstract

This research is to find out more about PT Matahari Dapartment Store Tbk. As an analysis method, the horizontal analysis method is used. The horizontal financial analysis method examines the same components of financial statements over time. Financial statements under scrutiny are often compared over two or three periods, with the previous period acting as a baseline. In this analysis, the percentage decrease and increase in financial statement items from the previous period are considered.
Co-Authors Agil Alunjati, Figo Elviani, Ulva Furqan Alfuady, Muhammad Hariany Idris Hermanus, Davy Ronald Rifai, Tri Akbar Sarwinda, Siti Suhono Harso Supangkat Utami, Indah Hajar