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All Journal Syntax Jurnal Informatika Systematics DBESTI: Journal of Digital Business and Technology Innovation
Reza Maulana
Sekolah Tinggi Teknologi Terpadu Nurul Fikri
Computer Science & IT Economics, Econometrics & Finance Library & Information Science

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Artikel Implementasi Algoritma Best First Search untuk Pencarian Rute Terpendek pada Aplikasi Cerdas Pendaftaran Santri Baru: Aplikasi Cerdas Pendaftaran Santri Baru Herfandi Herfandi; Ulfatus Soleha; Agung Susilo Yuda Irawan; Kiki Ahmad Baihaqi; Reza Maulana
SYNTAX Jurnal Informatika Vol 11 No 01 (2022): Mei 2022
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/syji.v11i01.6398

Abstract

Pesantren in Indonesia is a traditional Islamic educational institution that is able to exist until now. A less structured registration process allows errors and delays in the new santri registration process will be easy to occur. Pondok Pesantren Manbaul Ulum in carrying out the education administration process still uses conventional means this causes the service system used has not been efficient and the problem of dormitory limitations, registration regulations must be made in accordance with the distance zone of residence that has been determined. Therefore this study conducted the implementation of the best first search algorithm for the search of the shortest route on the new registration intelligent application. This research resulted in a new santri registration intelligent application by applying the best first search algorithm. The development method uses waterfall. Testing software with black box testing method with test case equivalence partitioning technique gets successful conclusions from various types of testing. With features for santri namely estimation data, home, instructions, contact us, register, login, fill out registration form, see verification, print proof of pass, and see the shortest tute, for admin setting school year, see registration, see registration accepted and rejected and see reports. As for the superadmin, crud admin data and see the report. This application is expected to help pesantren administration and prospective students see the route and support education in the Industrial 4.0 era.
Classification of Super Air Jet Initial Cabin Crew Candidates Using K-Nearest Neighbor (KNN) Method: Klasifikasi Calon Awak Kabin Awal Super Air Jet Menggunakan Metode K-Nearest Neighbor (KNN) Ahmad Jurnaidi Wahidin; Reza Maulana
SYSTEMATICS Vol 3 No 2 (2021): August 2021
Publisher : Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/sys.v3i2.5804

Abstract

At the time of the corona virus outbreak that hit Indonesia and the world which had an impact on various sectors including transportation, optimistically that the Indonesian domestic flight market was still open with strong demand, a new airline, Super Air Jet (SAJ) was created in March 2021. In an effort to improve SAJ services screening qualified human resources, including the process of screening candidates for initial cabin crew. To support this process, it is necessary to have a method used to classify candidates for initial cabin crew at the administrative stage. K-Nearest Neighbor (KNN) which is one method for classifying is expected to provide a solution to the problems discussed. This study uses 10 training data that have 8 criteria to predict categories in 6 test data. From the calculation results using a value of k=5, the same results as the label on the initial test data resulted, which resulted in 2 data with the Stop prediction class and 4 data with the Advanced prediction class. To measure the performance of the KNN method, a test was conducted using a confusion matrix which resulted in a 100% accuracy value, a 100% precision value and a 100% recall value.
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.
Studi Perbandingan Pembelajaran Online dan Offline: Implementasi Decision Tree di STT Terpadu Nurul Fikri Ira Kusuma Wardani; Reza Maulana; Bambang Harie Wiyono
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.v3i1.2154

Abstract

Pandemi COVID-19 selama 4 tahun (2020-2024) mempengaruhi semua bidang di Indonesia, salah satunya adalah bidang pendidikan. Data BPS 2024, mengatakan bahwa mayoritas mahasiswa menggunakan internet untuk hiburan (90,76%), namun pembelajaran online hanya 27,53%. Ini menunjukkan bahwa pemanfaatan internet untuk pembelajaran belum optimal dan perlu perbaikan. STT Terpadu Nurul Fikri merupakan salah satu perguruan tinggi yang menerapkan pembelajaran secara online selama masa pandemi. Penelitian ini bertujuan untuk melihat pembelajaran seperti apa yang lebih efektif apakah online atau offline sehingga dapat diterapkan di sistem pembelajaran dan mahasiswa dapat meningkatkan kemampuan agar dapat diterapkan di dunia kerja. Penelitian ini diharapkan dapat membantu pembaca dalam memahami pengelolaan data dan memberikan pemahaman mengenai penggunaan perangkat lunak KNIME. Metode yang digunakan adalah kuantitatif dengan algoritma Decision Tree menggunakan perangkat lunak KNIME berisi noda-noda yang dibutuhkan. Hasil analisis 76.3% mahasiswa setuju bahwa pembelajaran dilakukan secara offline terutama untuk mata kuliah Pemrograman Web dan Matematika Komputer. Hasil pengujian menunjukkan bahwa akurasi untuk mata kuliah Pemrograman Web 90.16% dan Matematika Komputer 88.52%. Hal tersebut menunjukkan bahwa mahasiswa yang belajar offline cenderung lebih nyaman agar dapat mengerti materi lebih dalam. dan bisa dijadikan evaluasi terhadap model pembelajaran perguruan tinggi.
Perancangan Prototipe Aplikasi Transportasi Umum Jabodetabek Berbasis Mobile dengan Pendekatan User-Centered Design Cahaya Arzeti; Pudy Prima; 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.v3i1.2251

Abstract

The problem of congestion and low public interest in public transportation in Jabodetabek is caused by the lack of integration between modes, as well as limited access to information and payment systems. This research aims to design the user interface (UI) and user experience (UX) of a mobile application that integrates various modes of public transportation using the User-Centered Design (UCD) approach. Data was collected through surveys, interviews, and observations. The prototype was designed in Figma and tested in Maze using the System Usability Scale (SUS) method. The evaluation results showed an average SUS score of 82.7, which indicates a good level of usability. This research resulted in an intuitive application prototype that supports a more efficient user experience and contributes to the design of public transportation systems based on user needs. The findings are expected to encourage increased adoption of public transportation in Jabodetabek.
Co-Authors Agung Susilo Yuda Irawan Ahmad Jurnaidi Wahidin Baihaqi, Kiki Ahmad Bambang Harie Wiyono Cahaya Arzeti Herfandi Herfandi Ira Kusuma Wardani Nasrul Nasrul Nelan Nelan Pudy Prima Ulfatus Soleha