Article Per Year (5 Year)
p-Index From 2021 - 2026
2.459
P-Index
This Author published in this journals
All Journal Jurnal Ilmiah Kursor Jurnal Inotera Health Care : Jurnal Kesehatan Nursing Science Journal (NSJ) KOMMAS: Jurnal Pengabdian Kepada Masyarakat Journal of Research and Publication Innovation OKTAL : Jurnal Ilmu Komputer dan Sains Prosiding Seminar Nasional Unimus
Fajar Agung Nugroho
Unknown Affiliation
Humanities Astronomy Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Nursing Public Health Social Sciences Other

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Rancang Bangun Sistem Informasi Sekolah Berbasis Web Menggunakan Framework CodeIgniter di SMP Nurul Hikmah Ahmad Riyadi; Fajar Agung Nugroho
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 09 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The design of a web-based school information system using the codeigniter framework at Nurul Hikmah Middle School was created to build a school information system that is expected to facilitate data processing and data search in schools, so that data processing of this school information system can be more accurate, information system design schools are designed using the codeigniter framework programming language and MySQL database which in the final stage can function to facilitate data processing, for the implementation phase using UML (Unified Modeling Language) which can analyze input data and output data. The waterfall method is carried out with a systematic approach, starting from the system requirements stage and then moving on to the analysis, design, coding, testing/verification, and maintenance stages. Step by step that must be completed one by one (cannot jump to the next stage) and run sequentially, therefore it is called a waterfall. To ensure the system runs well, two stages of testing are carried out, namely white box and black box testing in the process of managing student data, managing grades data and managing academic data as well as testing showing the final report on student report card scores.
DETEKSI GEJALA AWAL PENYAKIT PADA IKAN BERBASIS PENGOLAHAN CITRA DIGITAL MENGGUNAKAN OPERASI MORFOLOGI CITRA (STUDI KASUS : PETERNAKAN EGI SUHENDI) Dani Sukmawan; Fajar Agung Nugroho
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 3 No 10 (2024): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Diseases in fish pose a serious threat to their quality and survival. This condition can cause a significant decline in fish quality, and if not addressed promptly, it can lead to mass mortality in the population of farmed fish. Early identification of symptoms of disease in fish is crucial in prevention and control efforts. One commonly used indicator is changes in the fish scales. Scales that undergo changes such as the presence of spots or unusual colors can serve as early signs of health issues in the fish. The process of identifying symptoms of disease in fish scales typically involves a series of analytical methods, ranging from image smoothing techniques using Gaussian smoothing to clarify important details, to edge detection using the Sobel algorithm to highlight structural changes in the scales. Additionally, morphological techniques such as dilation and erosion are used to improve and refine the shape and size of scales, facilitating the identification process. Subsequently, the closing process is used to fill in small holes that may form after dilation and erosion, ensuring the overall integrity of the fish scale structure is maintained.
Analysis of the Decision Support System for the Selection of the Best Teaching Staff Using The AHP and Topsis Methods Fajar Agung Nugroho
Jurnal Inotera Vol. 10 No. 2 (2025): July - December 2025
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol10.Iss2.2025.ID495

Abstract

The selection of the best teaching staff is very important to improve the quality of education at SMK Al - Amanah. However, the selection process carried out by SMK Al – Amanah is still subjective and less structured, so this can cause difficulties in determining the best teaching staff because of the many criteria that must be considered. In addition, the existing selection methods are not systematic and measurable, so they have the potential to cause bias and inconsistency in decision-making. This research aims to analyze and develop a decision support system that can help in the selection of the best teaching staff objectively and efficiently. The proposed solution is the development of a system that integrates the Analytical Hierarchy Process (AHP) method to determine the weight of the assessment criteria, as well as the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to rank teaching staff based on this weight. The method used for collecting data on assessment criteria for the selection of the best teachers is through interviews and applying the AHP method in determining the weight of the criteria, as well as the application of the TOPSIS method for ranking in the selection of the best teaching staff. From the results of the research, it was obtained that the creation of a Decision Support System can simplify and accelerate the assessment process carried out by the leadership of each teaching staff and also the assessment of each teaching staff to be more accurate and minimize errors in making decisions.
Pengembangan Sistem Rekomendasi Karier Personalisasi Berbasis Quantum-Inspired Evolutionary Algorithm (QEA) Menggunakan Model Prototyping Untuk Generasi Z Muhammad Ryzha Fadillah; Fajar Agung Nugroho
OKTAL : Jurnal Ilmu Komputer dan Sains Vol 4 No 09 (2025): OKTAL : Jurnal Ilmu Komputer Dan Sains
Publisher : CV. Multi Kreasi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The misalignment between competencies and career choices among Generation Z necessitates the development of recommendation systems capable of comprehensively accommodating personal preferences. This research implements a Quantum-Inspired Evolutionary Algorithm (QEA) within a web-based career recommendation system using the prototyping model to generate adaptive personalization for multidimensional user profiles. The system integrates qubit rotation mechanisms with an adaptive angle of 0.12 radians through twenty iterations to evaluate compatibility between job attributes and user preferences encompassing work-life balance, learning programs, flexible hours, and mentorship availability. Black-box testing of seven functional requirements demonstrates the system's success in generating ranked recommendations based on personal scores with high sensitivity to preference variations. Quantitative evaluation involving thirteen Generation Z respondents yielded an average score of 4.45 on a five-point scale for the recommendation suitability dimension, confirming the effectiveness of the QEA approach in producing outputs responsive to individual user characteristics.
Co-Authors Ahmad Riyadi Beta Noranita Beta Noranita Bobi Agustian Cahyu Septiwi Dani Sukmawan Dewi Purbaningrum Vellayudhan Farhan Kamil Khadijah Khadijah Khadijah, Khadijah Marsito Marsito Muhaimin Muhamad Meky Frindo Muhamad Yasser Arafat Muhammad As Ad Muhammad Ryzha Fadillah Nur Sabilly Nurdin Bahtiar Petricia Oktavia Priyo Sidik Sasongko Rian Rifai Wahyu Santoso