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Teknologi Computer Vision untuk melakukan Deteksi dan Penentuan Kualitas Bibit Ayam Day Old Chicks Syaddam, Syaddam; Soeksin, Sasando Dewi; Nizar, Raihan
Jurnal Informatika: Jurnal Pengembangan IT Vol 9, No 3 (2024)
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/jpit.v9i3.7923

Abstract

This research is motivated by the importance of chicken animal protein for child growth, development, immunity, intelligence, and the prevention of stunting. This research aims to design and implement an object detection system using a series of 4 nodes, namely Raspberry Pi, ESP32-CAM, Arduino, and ESP32, to identify chickens based on their physical characteristics. This research utilizes computer vision and artificial intelligence methodology, particularly the Convolutional Neural Network approach, to detect characteristics of DOC chickens, such as feathers, eyes, and legs. The implementation results show that the object detection system built using these four nodes can detect objects according to the existing labels. This system can identify DOC chickens with characteristics such as clean feathers, bright eyes, and bright and undamaged legs. Testing was conducted under various movement conditions of the detection objects, and the results show that the system can work well in recognizing the target objects. In the trial section, the objects used were chickens that fit the DOC characteristic category. The trial results show that the built object detection system can detect DOC chickens with suitable physical characteristics. This can assist farmers in selecting and cultivating quality chickens. Five trial tests were conducted, which showed varying detection performance.
Efektivitas Peran Auditor Internal dalam Memitigasi Risiko Kecurangan: Studi Literatur Permana, Afrizal Adi; Nizar, Raihan; Kardina, Juliana Ayu; Afiyanti, Risqia; Repiyanti, Aprilia; Sipayung, Baren
Jurnal Pendidikan Kewarganegaraan dan Politik Vol. 3 No. 1 (2025): Jurnal Pendidikan Kewarganegaraan dan Politik
Publisher : CV. Kurnia Grup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61476/g4n0zg75

Abstract

Fraud is a serious threat that can harm companies and undermine stakeholder trust. This study aims to examine the crucial role of internal auditors in fraud prevention and detection efforts, as well as analyze the factors influencing their effectiveness. Through a literature review of several studies published in accredited national and international accounting and auditing journals between 2018 and 2024, it was found that internal auditors play not only a supervisory role but also a strategic partner role in enhancing internal control systems and fostering an anti-fraud culture. The results of the study indicate that the competence and experience of auditors, their independence, top management support, and the use of information technology are key factors in optimizing the role of internal auditors in mitigating fraud risks. This study recommends that companies strengthen the internal audit function, enhance auditor competence, and utilize information technology in auditing to effectively prevent and detect fraud.