Article Per Year (5 Year)
p-Index From 2021 - 2026
3.063
P-Index
This Author published in this journals
All Journal Jurnal Kebijakan dan Pengembangan Pendidikan Journal of Mechanical Engineering Education (Jurnal Pendidikan Teknik Mesin) SISFO Journal of Public Administration Studies Prosiding Temu Profesi Tahunan PERHAPI Ghancaran: Jurnal Pendidikan Bahasa dan Sastra Indonesia Kharisma Tech ETAM: Jurnal Pengabdian kepada Masyarakat Journal of Technology Research in Information System and Engineering Eduvest - Journal of Universal Studies Proceeding Of International Conference On Education, Society And Humanity
Syaiful Rahman
FISIP UNTAN
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Physics Social Sciences Other

Published : 24 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 24 Documents
Search

 1   2   3 
Implementation of Grey Box Testing Technique in Testing the F1Math Application Ang, Vincent; Rahman, Syaiful; Hasniati
KHARISMA Tech Vol 20 No 2 (2025): KHARISMATech Journal
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/kharismatech.v20i2.575

Abstract

The F1Math application was developed to assist students in learning mathematics through an interactive concept inspired by Formula 1 racing. This study aims to evaluate the effectiveness of the grey box testing technique in testing the F1Math application. The testing method used is grey box testing with a Regression testing approach, combining an analysis of the application's internal structure and observation of its external behavior. The testing process began with analyzing the system specifications and source code, followed by unit Testing, integration Testing, and regression Testing. User simulations across various game levels were also conducted. The results indicate that the grey box testing technique is effective in detecting bugs during the early stages of development. This approach accelerates the debugging process and enhances application stability, especially in critical areas such as gameplay features and mathematical calculations. In conclusion, the implementation of the grey box testing technique significantly contributes to improving the quality of the F1Math application. This approach successfully combines the strengths of code-based and user-behavior-based Testing, resulting in a more reliable and efficient application.
ANALISIS USABILITY HEALTHY LAIFU MENGGUNAKAN METODE SYSTEM USABILITY SCALE ANSHARI, ANSHARI; Rahman, Syaiful; Bahri, Syamsul
JTRISTE Vol 10 No 2 (2023): JTRISTE
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/jtriste.v10i2.502

Abstract

Healthy Laifu dibuat dengan tujuan mengajak pemain untuk berpartisipasi dalam tantangan, memecahkan teka-teki, dan mengambil keputusan yang baik terkait pola hidup sehat. Sejak diluncurkan di Play Store Healthy Laifu belum pernah dilakukan pengujian pada tingkat usability. Oleh karena itu, penelitian ini bertujuan untuk mengetahui tingkat usability dan menghasilkan hasil analisis usability Healthy Laifu menggunakan SUS (System Usability Scale). Penelitian ini menggunakan metode SUS (System Usability Scale). Hasil yang diperoleh adalah Healthy Laifu memiliki skor rata- rata SUS 71,91. Menempati level Marginal High pada posisi Acceptibility Ranges, dari sisi Grade Scales sistem menempati Grade C. Sedangkan dari sisi Adjective Rating berada pada posisi GOOD. Healthy Laifu memiliki nilai usability yang tidak terlalu baik, namun masih dapat diterima oleh pengguna.
UTILIZATION OF DIGITAL QUR'AN APPLICATIONS IN ISLAMIC RELIGIOUS EDUCATION LEARNING Rahman, Syaiful; Kholil, Muhammad
PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY Vol 3, No 1 (2025): First International Conference on Education, Society and Humanity
Publisher : PROCEEDING OF INTERNATIONAL CONFERENCE ON EDUCATION, SOCIETY AND HUMANITY

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

Abstract

The development of information and communication technology in the digital era has brought significant transformations in the field of education, including in Islamic Religious Education (PAI) learning. This study aims to describe the use of digital Qur’an applications as an innovation in Islamic Religious Education (PAI) learning and identify its impact on students' motivation and understanding of the Qur’an. This study uses a descriptive qualitative approach, with data collected through observation, interviews, and documentation involving teachers and students at a secondary school in Situbondo. The findings indicate that the use of digital Qur’an applications, such as Qur'an Kemenag and Muslim Pro, facilitates students in reading, listening, and understanding the meaning of Qur’anic verses interactively. Teachers also utilize digital interpretation and audio recitation features to enhance contextual and engaging learning experiences. However, challenges such as limited digital literacy and inadequate access to technological devices still hinder optimal implementation. This study concludes that the integration of digital Qur’an applications into PAI learning effectively supports the achievement of Islamic education goals, especially in strengthening students' spirituality, Qur’anic literacy, and moral character. It is recommended that digital literacy training be provided to Islamic Education teachers so that technology-based learning management can be more effective and sustainable. 
ANALISIS PENGARUH MODEL-VIEW-VIEWMODEL TERHADAP KINERJA APLIKASI COMFY LEARN Raintung, Juan Kevin; Rahman, Syaiful; S, Abdul Munir
KHARISMA Tech Vol 21 No 1 (2026): KHARISMATech Journal
Publisher : STMIK KHARISMA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55645/kharismatech.v21i1.581

Abstract

Interactive learning applications for early childhood, such as Comfy Learn, play an important role in the digital age. However, poor technical performance can hinder their pedagogical effectiveness. This study aims to analyze and improve the performance of Comfy Learn by implementing the Model-View-ViewModel (MVVM) architecture pattern, recommended by Google for modern Android applications. A quantitative approach was used by comparing performance metrics (CPU usage, memory consumption, and janky frames) and code maintainability metrics (Source Lines of Code, Cyclomatic Complexity, Cognitive Complexity) before and after migrating to MVVM. Testing was conducted with Android Studio Profiler, Firebase Test Lab, and SonarQube under standardized procedures. Results show that MVVM implementation reduced janky frames by 46.3% (p < 0.05), lowered code complexity by 37.5%, and improved application stability. This study provides empirical evidence that MVVM not only improves technical performance but also enhances long-term maintainability of Android-based educational applications.
Co-Authors Agus Halid, Agus Amirudin Ang, Vincent Anshari Anshari, Anshari Arianti Arianti Arianti Ayuningtyas, Devya Malika Chandra, Daniel Kevin Djie, Randy Sugito Ega T. Berman, Ega T. Fariyanti Halim, Natalia Angelina Putri Hasniati Hasniati Hasniati, Hasniati Hazima, Tsamara Aqila Herman, Sumitro Hosea, Wilson Gabriel In’am, Akhsanul Jiwono, Eric Agung Lestari Khadafi, Meyke Hazad Mahendra, Yusril Raga Mohammad Fajar, Mohammad Muhammad Dahlan Muhammad Kadafi Muhammad Kholil Muhammad Reza Oktiawan, Fandi Ornardo, Bryant Pondaag, Wendy Rahayu, Joyya Rahmadani, Arif Raintung, Juan Kevin Ratna Wulaningrum Ryu Wilsal, Ryu S, Abdul Munir Sanjaya, Vic Bradley Santosa, Reza Suciady, Kevin Joshua Surasa, Hendra Syam, Ridwan Dwiyanto Syamsul Bahri Syamsul Bahri Tansie, Leonardo Patrick Wahid Munawar