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Logika Fuzzy untuk Audit Sistem Informasi Husni, Hari Setiabudi; Arifin, Firman; Yuliyanti, Yuliyanti
ComTech: Computer, Mathematics and Engineering Applications Vol 4, No 1 (2013): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v4i1.2684

Abstract

The aim of this research is to study and introduce fuzzy logic into audit information system. Fuzzy logic is already adopted in other field of study. It helps decision process that incorporates subjective information and transforms it to scientific objective information which is more accepted. This research implements simulation scenario to see how fuzzy logic concept should be used in audit information process. The result shows that there is a possible concept of fuzzy logic that can be used for helping auditor in making objective decision in audit information system process. More researches needed to further explore the fuzzy logic concept such as creating the system of fuzzy logic and build application that can be used for daily information system audit process. 
Analisa Perencanaan Strategis Sistem Informasi di Departemen Manajemen Aset Bina Nusantara Arifin, Firman
ComTech: Computer, Mathematics and Engineering Applications Vol 1, No 2 (2010): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v1i2.2626

Abstract

The objective of this paper is to analyse portofolio application and information technology that is used today in Asset Management Department of Bina Nusantara so it could be made a strategic planning information system that could accommodate business needs. The discussion is focused to a strategic analysis that is applied today and its improvement in the future including information technology structure. The conclusion from this paper is along with a good information technology strategic planning, expected work effectivity and efficiency could be reached. 
Pengukuran Resiko Manajemen Proyek Teknologi Informasi pada PT MSI Hendarti, Henny; Arifin, Firman; Deviaty, Desy
ComTech: Computer, Mathematics and Engineering Applications Vol 2, No 2 (2011): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v2i2.2812

Abstract

Pengukuran resiko manajemen proyek teknologi informasi ini bertujuan untuk mengetahui bagaimana penerapan manajemen proyek teknologi informasi (TI) berjalan pada PT MSI agar penerapannya dapat sesuai dengan tujuan bisnis yang diharapkan oleh perusahaan dan memperkirakan resiko-resiko apa yang mungkin terjadi. Metode penelitian yang digunakan adalah studi kasus di mana teknik pengumpulan data meliputi studi kepustakaan serta studi lapangan yang meliputi wawancara, kuesioner, dan studi dokumentasi. Pendekatan untuk melakukan pengukuran resiko teknologi informasi pada PT MSI adalah PMBOK (Project Management Body Of Knowledge). Hasil yang dicapai adalah ditemukannya resiko-resiko yang mungkin terjadi pada proyek. Simpulan dari penelitian ini adalah PT MSI sudah menerapkan manajemen proyek teknologi informasi dengan cukup baik melalui proses inisiasi, perencanaan, pelaksanaan dan pengendalian, evaluasi proyek dan penutupan proyek. Hal ini dilihat resiko yang ditemukan tidak banyak dan hanya dibutuhkan sedikit perbaikan dalam mengelola resiko pada proyek tersebut. Namun perusahaan belum melakukan pengukuran terhadap resiko manajemen proyek TI. 
Rancang Bangun Alat Ukur Kualitas Air Menggunakan Metode Storet Dengan Parameter Suhu, pH, Kekeruhan dan TDS Khasanah, Umroh Tul; Puspita, Eru; Iman, Budi Nur; Arifin, Firman
INOVTEK - Seri Elektro Vol 3, No 2 (2021): INOVTEK Seri Elektro
Publisher : Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/ise.v3i2.2017

Abstract

Air berkualitas baik adalah kebutuhan dasar bagi kesehatan manusia. Menurut laporan World Health Organization (WHO), tiap tahunnya 1,7 juta anak tewas akibat pencemaran lingkungan. Sebanyak 361.000 anak usia 5 tahun ke bawah meninggal karena diare yang disebabkan air yang tercemar. Untuk itu dirancanglah alat portable yang mudah digunakan untuk mengukur dan mengetahui kondisi air dengan parameter pH, Suhu, Kekeruhan dan TDS. Terdapat peringatan burupa buzzer, monitoring melalui LCD, penentuan status mutu air untuk Mutu Air Kelas I berdasarkan PP No.82 Tahun 2001, dan memiliki histori pengukuran. Penentuan Status Mutu menggunakan Metode Storet mengacu pada KepMen LH No.113 Tahun 2003 yaitu terdapat kondisi baik sekali, baik, sedang dan buruk. Dari hasil pengujian keseluruhan sensor dengan alat pembanding/formula pada berbagai sampel air diperoleh rata-rata eror sensor pH sebesar 0.699%, sensor Suhu sebesar 0.415%, Sensor Kekeruhan sebesar 0.014% dan sensor TDS sebesar 1.056%. Status Mutu air ketika mengukur kondisi air bening adalah sangat baik dengan total skor 0 dan saat mengukur kondisi air keruh adalah sedang dengan total skor -15. Program perekaman data dapat berjalan sesuai sesuai dengan desain yang diharapkan.
Real-Time Embedded Vision System for Road Damage Detection Utilizing Deep Learning Putri, Ambarwati Rizkia; Irwansyah, Arif; Arifin, Firman; Purwantini, Elly; Wijaya, Candra Kusuma
JOIV : International Journal on Informatics Visualization Vol 9, No 5 (2025)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.9.5.3661

Abstract

Accidents resulting from road damage are becoming a serious concern, emphasizing the need for efficient monitoring systems and timely government intervention. This research highlights the potential of advanced AI-driven solutions in road safety management, providing a practical approach to efficiently monitoring and maintaining road conditions. It presents a real-time embedded vision system for automatic road damage detection using deep learning techniques. The system is designed to classify six types of road damage and has been implemented on two platforms: Jetson Nano and a personal computer or laptop. A comparative analysis was conducted to evaluate accuracy, computational performance, and power efficiency. The study employs YOLO (v5, v7, v8) and EfficientDet algorithms for detecting road damage. Experimental results indicate that EfficientDet achieves the highest accuracy at 88%, while YOLO attains 63%. In terms of computational performance, YOLOv8 delivers the highest frame rate, reaching 25 FPS on the Jetson Nano. Power efficiency analysis reveals that YOLOv8 on the Jetson Nano is six times more energy-efficient compared to its implementation on a laptop. Likewise, EfficientDet on Jetson Nano demonstrates three times better energy efficiency than on a laptop. These findings underscore the feasibility of deploying AI-powered embedded vision systems for detecting road damage. The use of deep learning models on energy-efficient platforms, such as Jetson Nano, enhances real-time performance while minimizing power consumption. Future research should focus on optimizing these models to enhance performance on edge devices while further assessing their practical applications in real-world environments.