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All Journal Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (JASMIEN) International Journal of Applied Mathematics and Computing. International Journal of Computer Technology and Science International Journal of Information Engineering and Science
Nandang Sutisna
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Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Mathematics

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Analisis Kinerja Sistem Informasi Pengadaan Barang/Jasa Berbasis Web Pada Perusahaan Daerah Air Minum (PDAM) Nandang Sutisna; Aswin Naldi Sahim; Dudun Junaedi
Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (Jasmien) Vol. 5 No. 02 (2025): Jurnal Akuntansi, Manajemen dan Ilmu Ekonomi (Jasmien) : Desember-Febuari
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jasmien.v5i02.1222

Abstract

Sistem informasi pengadaan barang/jasa berbasis web berperan penting dalam meningkatkan transparansi, efisiensi, dan akuntabilitas dalam proses pengadaan di Perusahaan Daerah Air Minum (PDAM). Namun, implementasi sistem ini sering menghadapi tantangan terkait fungsionalitas, keandalan, efisiensi, dan pemeliharaan. Penelitian ini bertujuan untuk menganalisis kinerja sistem informasi pengadaan barang/jasa berbasis web di PDAM Tirta Kahuripan Kabupaten Bogor berdasarkan lima aspek utama: kegunaan (usability), fungsionalitas (functionality), efisiensi (efficiency), keandalan (reliability), dan pemeliharaan (maintainability). Metode yang digunakan adalah pendekatan kuantitatif deskriptif dengan pengumpulan data melalui survei pengguna dan pengujian sistem menggunakan berbagai alat evaluasi, seperti System Usability Scale (SUS), Skala Gutman, GTMetrix, WAPT, dan PHPMetrix. Hasil penelitian menunjukkan bahwa sistem memiliki tingkat fungsionalitas sangat baik (100%), efisiensi dengan skor C (79), keandalan tinggi (100%), dan indeks pemeliharaan yang mendekati tinggi (82,85). Aspek kegunaan mendapatkan skor SUS 79, yang dikategorikan baik. Meskipun sistem telah menunjukkan kinerja yang cukup baik, masih terdapat ruang untuk peningkatan, khususnya dalam efisiensi dan pemeliharaan. Pengembangan lebih lanjut dapat mencakup integrasi dengan e-Budgeting dan e-Payment untuk meningkatkan efektivitas proses pengadaan di PDAM.
Design of An Internet of Things-Based Temperature And Light Monitoring System In The Classroom of SDN Bojong 02 Mesra Betty Yel; Satria Wira Yudha; Nandang Sutisna; Muhammad Rafli Fadillah
International Journal of Computer Technology and Science Vol. 1 No. 3 (2024): July : International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v1i3.319

Abstract

One of the goals of a building is to create a comfortable environment that does not affect the health and operations of its occupants, therefore a system needs to be created to ensure comfort in classrooms. To fulfill a comfortable situation, there is a standard that regulates comfort, especially thermal and visual comfort. Thermal comfort is regulated in SNI 03-6572-2001 and visual comfort is regulated in SNI 03-6575-2001. The aim of this research is to design a tool to automatically monitor temperature and lighting, determine greater accuracy, determine temperature and lighting comfort distances, and test Smart Comfort measurement results in accordance with the SNI-03-6571-2001 and SNI-03-6575-2001 conformity standards. This design uses ESP32 with IoT-based LDR and DHT11 sensors which can be seen on the web and application, determines the accuracy and range of Smart Comfort values for monitoring temperature and lighting and determines the suitability of measurement quantities in the SDN PINANG 3 classroom.
Optimization of Real-Time Student Face Recognition Attendance Using the YOLO v10 Algorithm Mesra Betty Yel; Elviwani Elviwani; Nandang Sutisna; Ziyad Fernanda Syams
International Journal of Computer Technology and Science Vol. 2 No. 4 (2025): International Journal of Computer Technology and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijcts.v2i4.328

Abstract

This research is motivated by the problems in manual attendance systems at schools, which remain vulnerable to fraud, time-consuming, and inefficient. The expected solution is to develop an automated attendance system based on face recognition that can operate in realtime with high accuracy. The research object is vocational high school students, with the applied method implementing the YOLO v10 algorithm for face detection, followed by the face_recognition library for identification. The instruments used include an Imou CCTV camera as the input device, a mid-range laptop as the hardware platform, and Python with SQLite as the software environment for data processing and attendance storage. The results show that the developed system achieved an average face detection accuracy of 96% under normal lighting and 91% under low lighting, with an average processing speed of 27 FPS. The implementation of an anti-duplication feature also ensured data validity by allowing each student to be recorded only once per day. In conclusion, the use of YOLO v10 in face-based attendance proved to be effective, efficient, and capable of reducing fraud. The implication of this study is that the system can be applied in both Islamic boarding schools and general schools as a modernization of attendance systems, with a recommendation for further development through web-based application and cloud database integration.
Implementation of the YOLO Algorithm for Detecting Bullying Behavior at Pesantren Bisnis SMK Skill Village Islamic School Jonggol Bogor Sutisna Sutisna; Rizki Ananda Pratama; Nandang Sutisna; Jundi Kariman Husni
International Journal of Information Engineering and Science Vol. 2 No. 4 (2025): November : International Journal of Information Engineering and Science
Publisher : Asosiasi Riset Teknik Elektro dan Infomatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijies.v2i4.346

Abstract

Bullying is a serious problem that can disrupt the learning process and mental development of students, including in Islamic boarding schools. Early detection of bullying is essential to creating a safe and conducive learning environment. This study aims to apply the You Only Look Once (YOLO) algorithm to automatically detect bullying through video recordings in the environment of the SMK Skill Village Islamic School Business Boarding School. The method used involves collecting a video dataset representing various types of bullying behavior, labeling the data, and training an object detection model using the YOLOv5 algorithm. The developed system is capable of detecting and classifying bullying behavior in real- time with detection accuracy reaching [accuracy value if known]. The implementation of this system is expected to assist school authorities and boarding school administrators in monitoring, preventing, and addressing bullying incidents more quickly and effectively, while also serving as an initial step in leveraging artificial intelligence technology to create a safer and more comfortable educational environment.
Optimizing Bandwidth Settings Using the Y.1731 Method Based on Ethernet OAM on Raisecom Devices in a Metro Ethernet Network Dadang Iskandar Mulyana; Nandang Sutisna; Tatinia Arda Rizqi Amalia; Muhamad Rafli Alfiansyah
International Journal of Applied Mathematics and Computing Vol. 2 No. 4 (2025): October : International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v2i4.283

Abstract

The rapid development of network infrastructure demands high Quality of Service (QoS), especially in Metro Ethernet networks widely utilized by telecommunication service providers. A primary challenge is efficient bandwidth management to ensure network stability and performance. This research aims to optimize bandwidth management by implementing the Y.1731 method based on Ethernet Operations, Administration, and Maintenance (OAM) on Raisecom devices. The methodology employed is a quantitative experimental approach based on technical simulation within an Professional Network Emulator Tool Lab (PNET Lab), where real-time network performance measurements are conducted using the ITU-T Y.1731 protocol for key parameters such as delay, jitter, and packet loss on Raisecom devices (represented by Cisco routers). The expected outcomes include increased efficiency in bandwidth utilization through more adaptive allocation, comprehensive and accurate real-time network performance monitoring capabilities, validation of OAM functions on Raisecom devices, improved Quality of Service (QoS) and better Service Level Agreement (SLA) attainment, and the provision of technical recommendations for network management. The implementation of Y.1731 is anticipated to quickly detect and respond to service degradation, thereby providing a strong basis for decision-making in network management and contributing to the enhancement of service quality in Metro Ethernet networks through optimization based on proactive monitoring.
Design of a Financial Saving Challenge to Enhance Saving Interest Using the Reinforcement Learning Method Veri Arinal; Nandang Sutisna; Nova Dahliyanti; Dinda Raudhatul Jannah
International Journal of Applied Mathematics and Computing Vol. 2 No. 1 (2025): January: International Journal of Applied Mathematics and Computing
Publisher : Asosiasi Riset Ilmu Matematika dan Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/ijamc.v2i1.247

Abstract

This study aims to develop a financial saving application to improve the saving habits of students, particularly in Islamic boarding schools, through an adaptive challenge approach. The system integrates a mobile iOS application with a backend service and Large Language Model (LLM) processing via Ollama. Transaction data entered by users is processed by the backend to generate contextual and personalized saving challenges, applying Reinforcement Learning concepts in an adaptive and data-driven manner. The research adopts a descriptive quantitative method using surveys and system testing with 50 respondents. Results indicate that the application functions as designed, with no significant bugs detected. User evaluation shows high satisfaction, with an average score of 4.3 out of 5, covering ease of use, interface design, and increased awareness of saving. The combination of gamification, reward systems, and adaptive personalization successfully motivates users to save regularly. This system demonstrates the potential of integrating AI-driven personalization to strengthen financial literacy and healthy financial habits among students in a fun and interactive way.methods, and a summary of the results. The abstract should end with a comment about the significance of the results or conclusions brief.
Co-Authors Arinal, Veri Aswin Naldi Sahim Betty Yel, Mesra Dadang Iskandar Mulyana` Dinda Raudhatul Jannah Dudun Junaedi Elviwani Elviwani Jundi Kariman Husni Muhamad Rafli Alfiansyah Muhammad Rafli Fadillah Nova Dahliyanti Rizki Ananda Pratama Satria Wira Yudha Sutisna Sutisna Tatinia Arda Rizqi Amalia Ziyad Fernanda Syams