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All Journal Jurnal Infra JOIV : International Journal on Informatics Visualization Performance
Albert Kurniawan, Albert
Program Studi Teknik Informatika
Computer Science & IT Education

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Analisa Risiko pada bidang Software Acquisition,Implementation,Maintenance PT. Z Kurniawan, Albert; Wibowo, Adi; Gunawan, Ibnu
Jurnal Infra Vol 3, No 2 (2015)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (78.005 KB)

Abstract

PT.Z is a printing company based in Sidoarjo. PT.Z handle various customers both domestic and abroad. Information technology has been used to support nearly in all processes in PT.Z, but they has never done a risk analysis before so that the company do not know anything about IT risks that can occur. Therefore, it takes a risk analysis so that the company can determine what risks may occur and how to respond to those risks.In this thesis, risk assessment performed in the process of software acquisition, implementation, and maintenance. The steps used in performing the risk assessment are measuring the level of maturity of the IT using the Capability Maturity Model Integration (CMMI), then perform mapping of CMMI to COBIT 4.1, and using the OWASP Risk Rating Methodology as a guide in the calculation of risk. Some of these risk factors include the lack of monitoring process based on clear value of metrics, no identification of IT processes that have great impact on the companys business process, there is no verification of value in the result of monitoring data collection.
FENG SHUI BASED MARKETING: STRATEGI MEMENANGKAN KONSUMEN BERBASIS PEMAHAMAN NILAI-NILAI KEPERCAYAAN TIONGHOA Kurniawan, Albert
Performance Vol 21 No 1 (2015): Performance
Publisher : Faculty of Economics and Business Universitas Jenderal Soedirman

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Abstract

Feng shui is an ancient chinese wisdom about “chi” or positive energy. In reality,most of feng shui’s belief could be explained by modern science. In contemporary practice,feng shui incorporates a wide range of concepts considered to affect a person’s lu ck.These include traditional ideas about feng shui’s five elements, site selection, buildingdesign, as well a belief about certain numbers. Focusing on feng shui’s belief, this paperwill intepret how to utilize feng shui in interest of marketing. Combining marketing mixwith feng shui to attract more attention from the consumers.
Automated Detection of Molting Crabs Using YOLO: Enhancing Efficiency in Soft-Shell Crab Aquaculture Saputra, Dany Eka; Rangkuti, Abdul Haris; Dwi Putra, Sulistyo Emantoko; Daru Kusuma, Purba; Kurniawan, Albert; Gabriela, Melanie
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.9.5.3468

Abstract

Crab molting detection is a crucial process in aquaculture, particularly to produce soft-shell crabs, which are considered a delicacy in many markets. Traditional methods of manually monitoring crabs for molting are labor-intensive and susceptible to human error. To address this challenge, this study examines the application of the YOLO (You Only Look Once) object detection model for automating the detection of molting crabs. YOLO is renowned for its capability to perform real-time object detection, making it an ideal choice for this application. Our research focuses on developing a YOLO-based system that accurately identifies molting crabs from videos or images captured in farming environments. The model was trained on a comprehensive dataset comprising images of crabs at various stages of molting, ensuring robustness against environmental variations and different lighting conditions commonly encountered in aquaculture settings. The results indicate that the YOLO model achieves high accuracy in detecting molting crabs, significantly enhancing the efficiency and reliability of the detection process compared to manual observation and other machine learning approaches. These advancements facilitate timely intervention and harvesting, which are critical for optimizing the quality and yield of soft-shell crabs. In our experiments, the recognition of the crab molting process was categorized into three classes: the molting crab, the crab skin, and the newly molted crab. Overall, the YOLOv8 and YOLOv11 models demonstrated impressive performance, achieving an average accuracy of 96% to 98%. This research on molting crab detection has proven successful and can be further extended to include other types of crabs.
Co-Authors A.A. Ketut Agung Cahyawan W Dwi Putra, Sulistyo Emantoko Gabriela, Melanie Ibnu Gunawan Purba Daru Kusuma Rangkuti, Abdul Haris Saputra, Dany Eka