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All Journal Jurnal Teknologi Terpadu Jurnal Informatika Terpadu DBESTI: Journal of Digital Business and Technology Innovation Komputasi : Jurnal Ilmiah Ilmu Komputer dan Matematika
Nasrul
Sekolah Tinggi Teknologi Terpadu Nurul Fikri
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Library & Information Science Mathematics

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Analisis dan Perancangan Sistem Informasi Pemetaan Kompetensi Pengajar LP3 STT-NF Berbasis Web Menggunakan Yii Framework Nasrul nasrul
Jurnal Teknologi Terpadu Vol. 2 No. 2: Desember, 2016
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v2i2.56

Abstract

Seiring dengan perkembangnya teknologi yang begitu pesat dan banyaknya permintaan trainingtrainingkomputer, maka pemetaan kompetensi pengajar di sebuah lembaga kursus computermenjadi suatu keharusan, karena jika tidak, maka lembaga kursus tersebut akan mengalamikesulitan dalam melakukan penjadwalan mengajar sesuai dengan permintaan dari client. LembagaPendidikan dan Pengembangan Profesi Sekolah Tinggi Teknologi Nurul Fikri (LP3 STT-NF) yangberfokus pada kegiatan jasa training computer untuk pemerintahan, swasta dan masyrakat luas.Pada penelitian ini, penulis melakukan penelitian berupa pengembangan system informasipemetaan komputensi pengajar LP3 STT-NF berbasis web menggunakan Yii Framework,diharapkan aplikasi dapat memenuhi kebutuhan organisasi LP3 STT-NF.
Pengembangan REST API dengan menggunakan Express JS untuk mencari Mentor Pribadi Nasrul Nasrul; Achmad Izhar
Jurnal Informatika Terpadu Vol 9 No 2 (2023): September, 2023
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v9i2.974

Abstract

Currently there is a problem faced by many students, namely in understanding and mastering programming. These problems occur due to limitations in understanding program code, limited access to learning media, and limited learning time. To answer this challenge, the design and development of the Rest API for finding personal mentors is proposed as a solution that can improve the quality and effectiveness of learning program code. In this research, the Express JS framework is used to implement the Rest API, which interacts with third party APIs such as Midtrans and Redis. The MVC development approach and the Scrum method are applied to manage the application development process. The aim of this research is to design and build a Rest API that allows students to find a personal mentor that suits their needs in learning code. It is hoped that the use of Express JS and the Scrum method in the development of this application will facilitate the creation of effective and efficient private coding applications.
Rancang Bangun Sistem Informasi Manajemen Aset Berbasis Web untuk Menghitung Penyusutan Fiskal Nasrul Nasrul; Henry Saptono; Edi Wibowo; Amalia Amalia
Jurnal Informatika Terpadu Vol 10 No 1 (2024): Maret, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jit.v10i1.1086

Abstract

Effective asset management is a critical component in maintaining the financial and operational stability of an institution. At STT Terpadu Nurul Fikri, asset management still relies on manual processes, resulting in inefficiency and increased risk of errors. One crucial aspect of asset management is fiscal depreciation calculation, a process that considers the reduction in asset value over its useful life for fiscal or taxation purposes. Despite its importance, the fiscal depreciation calculation process at STT Terpadu Nurul Fikri still depends on manual Excel spreadsheet usage. This approach is prone to errors, difficult to track, and time-consuming. This research aims to design and develop a web-based asset management information system using the Laravel Framework, employing the Extreme Programming (XP) software development methodology. XP provides flexibility for developers to adapt to changing needs and ensures the quality of the resulting product. The conclusion of this research is that by employing the XP approach and leveraging the Laravel Framework, the development of this system is expected to provide an effective solution to the challenges faced in asset management. This will ease the management of assets for STT Terpadu Nurul Fikri and simplify the fiscal depreciation calculation process for its assets.
Design and Implementation of a Teaching Assistant Information System Using Laravel Filament and Extreme Programming Nasrul; Edi Wibowo; David Wahyu Wismanindra
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 23 No. 1 (2026): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika.
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v23i1.83

Abstract

The management of teaching assistants at Sekolah Tinggi Teknologi Terpadu Nurul Fikri (STT-NF) has traditionally been conducted using manual processes, resulting in time inefficiencies, data inaccuracies, and limited integration of information. To address these challenges, a web-based Teaching Assistant Information System was developed using the Laravel Framework with Filament as the administrative interface and PostgreSQL as the database management system. The system is designed to streamline teaching assistant recruitment, class and assistant scheduling, and honorarium calculation in a structured and efficient manner. The development process applies the Extreme Programming (XP) methodology, which emphasizes iterative development, intensive user involvement, and adaptability to changing requirements. The results indicate that the proposed system improves efficiency and data accuracy while supporting administrative and academic staff in monitoring activities and making informed decisions.
Implementasi ReactJS dan Firebase untuk Pengembangan Aplikasi Perencanaan Keuangan Pegawai di Nurul Fikri Academy Nelan Nelan; Nasrul Nasrul; Reza Maulana
DBESTI: Journal of Digital Business and Technology Innovation Vol 3 No 1 (2026): Mei, 2026
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/dbesti.v3i1.2076

Abstract

Effective financial planning is an important aspect in supporting employee welfare. Within Nurul Fikri Academy, there is no integrated digital system that enables employees to conduct financial planning independently. This research aims to develop a web-based financial planning application designed to record, monitor, and analyze employee financial conditions. The application is built using the ReactJS framework for an interactive user interface and Firebase as the backend, providing authentication and real-time data storage. The development method used is Extreme Programming (XP), through the stages of planning, designing, coding, and testing. The main features of the application include financial calculators (emergency funds, pensions, and investments), user discussion forums, and financial education articles. Testing was conducted using Blackbox Testing and User Acceptance Testing (UAT) methods. The test results show that all features run well across various devices, with a UAT success rate of 90%, exceeding the minimum threshold of 80%. This application is expected to be an effective solution for improving employees' literacy and financial management skills in a structured, efficient manner.
Implementation of Artificial Intelligence in Health Screening Systems for Category-Based Fitness and Nutrition Recommendations Nasrul; Henry Saptono; Rusmanto
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 23 No. 2 (2026): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v23i2.108

Abstract

The increasing prevalence of non-communicable diseases, such as diabetes, hypertension, and metabolic disorders, highlights the need for accessible health screening services. However, existing health screening systems generally provide examination results without offering automated educational recommendations to support preventive healthcare. This study proposes an Artificial Intelligence (AI)-based health screening information system that automatically generates fitness and nutrition recommendations based on categorized health screening results. The research employed a Research and Development (R&D) approach using the Extreme Programming (XP) software development methodology. The proposed system was developed using the Laravel framework and the Filament administration panel and integrates a Large Language Model (LLM) through the OpenAI API. The proposed architecture combines structured prompt engineering, predefined AI guardrails, SHA-256 prompt hashing, and recommendation caching to improve recommendation consistency and computational efficiency. The system was evaluated using User Acceptance Testing (UAT) and an AI Recommendation Consistency Evaluation. The UAT results showed that all functional requirements were successfully fulfilled. The consistency evaluation demonstrated that repeated processing of identical health screening data produced stable recommendations, achieving an average qualitative consistency score of 90.4% and an average TF–IDF cosine similarity of 0.784. These findings indicate that the proposed architecture is capable of generating reliable and consistent educational recommendations while reducing redundant AI requests through recommendation caching. This study contributes to the development of intelligent health information systems by introducing an efficient AI recommendation architecture that supports digital health screening and preventive healthcare services.
Co-Authors Achmad Izhar Amalia Amalia David Wahyu Wismanindra Edi Wibowo Krisna Panji Mohamad Rizki Hanif Nelan Nelan Reza Maulana Rusmanto Saptono, Henry