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All Journal Jurnal Informatika IJCIT (Indonesian Journal on Computer and Information Technology) Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Mantik Penusa Jurnal Mantik INTI Nusa Mandiri Journal of Computer Networks, Architecture and High Performance Computing KLIK: Kajian Ilmiah Informatika dan Komputer
Ahmad Hafidzul Kahfi
Informatics, Faculty Of Information Technology, Universitas Nusa Mandiri, Indonesia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media

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Classification of Banana Ripeness Based on Color and Texture Characteristics Ahmad Hafidzul Kahfi; Muhamad Hasan; Riyan Latifahul Hasanah
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.1985

Abstract

Banana is one of the most consumed fruits globally and is a rich source of vitamins, minerals and carbohydrates. With the many benefits that bananas have, many farmers cultivate this fruit. The problem that occurs when the harvest is produced on a large scale is the process of selecting bananas that are still unripe or ripe. Usually farmers carry out the selection process manually by visually identifying ripeness based on the color of the fruit skin. However, direct observation has several drawbacks such as subjectivity, takes a long time and is inaccurate. For this reason, we need a system that can help determine the maturity level of bananas automatically through a series of banana image processing processes. One way that can be used to determine the maturity level of bananas is by looking at the color and texture of the bananas. This study aims to classify the maturity level of bananas based on the color and texture characteristics of the banana image using the Gray Level Co-occurrence Matrix and K-Nearest Neighbor methods for the classification process. Based on the results of the research analysis that has been carried out, using the parameter k which has a value of 3 obtains very high accuracy.
Perancangan Program Pembayaran Administrasi Sekolah Berbasis Website Menggunakan Metode Waterfall Hasan Muhamad; Ahmad Hafidzul Kahfi; Agung Fazriansyah
KLIK: Kajian Ilmiah Informatika dan Komputer Vol. 3 No. 6 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/klik.v3i6.801

Abstract

Payment of school administration fees is still problematic, including manual data collection and processing of payment information. Recorded reports still use ledgers, making work less efficient, and a lot of time and energy is wasted searching for student data and archiving it by committee staff. In the current technological era, there is a need to renew the use of technology in education to help manage school finances so that data collection and processing of payment information becomes effective and efficient. This study describes the design of a website-based school administration payment program. This design is intended to assist committee staff in recording school administration payments. The research method used is the waterfall-type software development method. In database design using Entity Relationship Diagram and Logical Record Structure, while for making applications using the PHP programming language. With this program, the administrative payment process is better, easier, and faster
ELECTRICITY MANAGEMENT SYSTEM WITH TECHNOLOGY INTERNET OF THINGS Rano Suherman; Purnawarman Kahfi Nataraja; Andhika Pratama; Ahmad Hafidzul Kahfi
Jurnal Techno Nusa Mandiri Vol 20 No 2 (2023): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v20i2.4520

Abstract

The increasing global demand for electricity has put a strain on energy resources and raised concerns about environmental sustainability. To address these challenges, the integration of modern technologies is crucial. This research presents a study on the implementation of an Electrical Energy Management System (EMS) using Internet of Things (IoT) technology. The proposed system aims to optimize electrical energy usage, enhance efficiency, and reduce the environmental impact. The EMS employs IoT devices and sensors to monitor and collect real-time data on electricity consumption in office buildings. Through data, the system can identify patterns and anomalies in energy consumption, allowing for informed decision-making and proactive energy management strategies.
Co-Authors Abdul Hamid Agung Fazriansyah Ahmad Rifqy Alfiyan Akrom, Akrom Andhika Pratama Anggi Rahardiansyah Arief Rusman Deddy Supriadi Doni Purnama Alamsyah Fachrurozi, Ahmad Fitra Septia Nugraha Ginabila Ginabila Hasan Muhamad Hendri Mahmud Nawawi Imam Nawawi M. Rangga Ramadhan Saelan Mochammad Abdul Azis Mochammad Rizky Kusumayudha Mochammad Rizky Kusumayudha Muhamad Hasan Muhamad Hasan Muhammad Hilman Fakhriza Muhammad Rezki Purnawarman Kahfi Nataraja Rano Suherman Ridan Nurfalah Riyan Latifahul Hasanah Siti Masturoh Siti Masturoh Widiastuti Widiastuti Wina Widiati Yulihani Yulihani