cover
Contact Name
Masy Ari Ulinuha
Contact Email
ulinuha@walisongo.ac.id
Phone
+628986894743
Journal Mail Official
jit@walisongo.ac.id
Editorial Address
Fakultas Sains dan Teknologi, Universitas Islam Negeri Walisongo, Gedung IsDB Kampus III, Jl. Prof. Dr. Hamka Km. 02, Ngaliyan, Semarang, Jawa Tengah
Location
Kota semarang,
Jawa tengah
INDONESIA
Walisongo Journal of Information Technology
ISSN : 27149048     EISSN : 27150143     DOI : 10.21580/wjit.xxxx.x.xxxx
Walisongo Journal of Information Technology publish article in the field of information technology, including : Computer Architecture, Parallel and Distributed Computer, Pervasive Computing, Computer Network, Embedded System, Human—Computer Interaction, Virtual/Augmented Reality, Computer Security, Software Engineering (Software: Lifecycle, Management, Engineering Process, Engineering Tools and Methods), Programming (Programming Methodology and Paradigm), Data Engineering (Data and Knowledge level Modeling
Articles 122 Documents
Data Mining for Football Performance Analysis and Prediction: A Systematic Literature Review Ikhlasul Aulia Rahman; A’ang Subiyakto
Walisongo Journal of Information Technology Vol. 7 No. 2 (2025): Walisongo Journal of Information Technology
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2025.7.2.18698

Abstract

Data mining has become an important approach to analyzing football-related data to support performance evaluation and decision-making. However, the application of data mining techniques in football covers various analytical objectives, ranging from match outcome prediction to player performance analysis and physical load monitoring. This study aims to systematically review the application of data mining techniques in football, identify the methods used, and synthesize the main findings of previous studies. A Systematic Literature Review (SLR) was conducted following the guidelines proposed by Kitchenham. The literature search covered four databases: Google Scholar, ScienceDirect, IEEE, and SpringerLink. Studies were selected based on predefined inclusion and exclusion criteria, resulting in 15 articles published between 2003 and 2023. The reviewed studies were examined in terms of their analytical objectives, data mining techniques, and reported findings. The results indicate that the reviewed literature addresses four analytical categories: estimation, forecasting, classification, and clustering. The techniques discussed include neural networks, linear regression, support vector machines, decision trees, k-nearest neighbors, random forests, and K-means clustering. These techniques have been applied to different football-related tasks, including match outcome prediction, attacking effectiveness analysis, player performance assessment, and training load monitoring. The findings highlight the diverse applications of data mining in football analytics while indicating that reported model performance must be interpreted in the context of each study's dataset, prediction target, and evaluation procedure. This review provides an overview of existing applications and identifies the need for more consistent methodological reporting and comparative synthesis in future research.
Perancangan Prototipe Super App Muslimify sebagai Platform Terintegrasi untuk Mendukung Aktivitas Masjid dan Jamaah Ilyasa Ayasy El Ghofiqi; Riski Gana Prasetya
Walisongo Journal of Information Technology Vol. 7 No. 2 (2025): Walisongo Journal of Information Technology
Publisher : Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/wjit.2025.7.2.18766

Abstract

Mosques have historically served not only as places of worship but also as centres for education, social interaction, and community support. Digital platforms create opportunities to connect these functions through integrated services. This study presents the design of Muslimify, a mosque-oriented super app prototype that groups worship, community, economic, and educational services in one mobile interface. The study uses a descriptive qualitative approach based on literature review and interface prototyping with Figma. The output is a user-interface prototype, not a fully implemented application. The proposed design includes prayer schedules, Qur’an access, mosque discovery, community forums, donation services, a local marketplace, and a digital library. The prototype offers an initial design concept for integrating mosque-related services; however, its usability, technical feasibility, security, and impact on mosque communities have not yet been evaluated.

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