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Masy Ari Ulinuha
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Fakultas Sains dan Teknologi, Universitas Islam Negeri Walisongo, Gedung IsDB Kampus III, Jl. Prof. Dr. Hamka Km. 02, Ngaliyan, Semarang, Jawa Tengah
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Walisongo Journal of Information Technology
Published by Universitas Islam Negeri Walisongo Semarang
ISSN : 27149048     EISSN : 27150143     DOI : 10.21580/wjit.xxxx.x.xxxx
Core Subject : Science, Engineering,
Computer Science & IT Engineering
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
Arjuna Subject : Teknik (semua kategori) - Teknik (Lain-Lain)
Articles 122 Documents
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Perancangan Sistem Pakar Untuk Mengidentifikasi Hama dan Penyakit Pada Tanaman Bawang Merah Menggunakan Metode Forward Chaining Berbasis Web Indira Alifia Putri; Achrijal Shohib Arya Syifa; Muhammad Raihan Mahardika; Heti Aprilianti
Walisongo Journal of Information Technology Vol. 8 No. 1 (2026): 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.2026.8.1.23937

Abstract

Shallot cultivation faces challenges from various pests and diseases that can affect crop growth and productivity. Identifying these problems based on observable symptoms is important for determining appropriate management measures. This study aims to develop a web-based expert system for identifying pests and diseases in shallot plants using the forward chaining method. The system was developed using PHP and MySQL, with a knowledge base comprising pest and disease categories, symptoms, diagnostic rules, and recommended management measures. The inference process applies IF–THEN rules to match user-selected symptoms with the conditions represented in the knowledge base and generate diagnostic results. System validity was evaluated by comparing the system's diagnostic outputs with diagnoses provided by an agricultural expert across nine test cases. The evaluation table reports agreement between the system and expert diagnoses in all nine cases, although some cases produce multiple candidate diagnoses with different matching percentages. These findings indicate that the system can support preliminary identification of shallot pests and diseases based on the implemented knowledge base. Further evaluation using a larger and more diverse set of test cases is needed to establish diagnostic accuracy and assess the system's reliability. The system is intended to support farmers in recognizing potential crop problems and obtaining relevant management information.
Klasifikasi Image Pokémon Menggunakan Convolutional Neural Networks Maulana sulistio saputra Soeprijanto; Zulfa Hady Kusuma; Dwi Rolliawati
Walisongo Journal of Information Technology Vol. 7 No. 1 (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.2025.7.1.24433

Abstract

This study aims to develop a Pokémon image classification model using Convolutional Neural Networks (CNN). The model is designed to identify the visual patterns of Pokémon based on their primary types, such as Water, Grass, Fire, Electric, and Poison. The research process includes dataset preparation using data sourced from Kaggle, image augmentation to enhance data variability, CNN model training, and model performance evaluation. The resulting model achieved an accuracy of 68.28% on the test data, indicating a reasonable ability to recognize complex visual patterns. Data augmentation and regularization techniques proved effective in improving the model’s generalization capability. This study is expected to contribute to the development of machine learning-based applications in digital entertainment, particularly in the recognition and classification of Pokémon characters. Future research is recommended to utilize larger datasets and integrate non-visual features to improve model performance further.
Implementing the Odoo Website Module to Support Digitalization of Jamu Mak Yulis MSME Adinda Halimatus Sa'diah; Hafizh Fauzan Al Khawarizmi; Dewi Hajar
Walisongo Journal of Information Technology Vol. 8 No. 1 (2026): 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.2026.8.1.24497

Abstract

Micro, small, and medium enterprises often face challenges in reaching new customers and managing orders through disconnected processes. This study aimed to implement the Odoo website module for Jamu Mak Yulis, a traditional herbal-drink business in Medang, Tangerang. The system development followed the System Development Life Cycle using a Waterfall approach, covering requirements analysis, system design, implementation, and functional testing. The website provides product information and a catalogue, while the Odoo Sales module supports order follow-up by the administrator. Black-box testing was conducted using six functional scenarios, covering the landing page, product page, checkout, order confirmation, order visibility in Sales, and order processing. All six scenarios were reported as valid. The result confirms that the tested functions operated according to the expected scenarios; it does not establish an increase in sales or operational efficiency, which were not measured in this study.
Implementasi OWASP ZAP untuk Menguji Kerentanan Sistem Informasi Akademik (SIA Universitas Teknologi Yogyakarta Domain: sia.uty.ac.id) IIN ROHMATIKA AULIA; Rianto; EIH UJIANTO
Walisongo Journal of Information Technology Vol. 6 No. 1 (2024): 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.2024.6.1.25390

Abstract

The security of academic information systems is essential to maintaining the confidentiality, integrity, and availability of academic data. This study aims to identify web application vulnerabilities in an academic information system using the OWASP framework. Vulnerability testing identified three main findings: NGINX server misconfigurations, potential exposure of sensitive files, and the need to strengthen authentication and access controls. The identified misconfigurations and potential file exposure indicate security risks that require further verification to determine their actual exploitability and impact. Recommended mitigation measures include correcting server configurations, strengthening authentication mechanisms, and restricting unauthorized access. These findings highlight the importance of systematic vulnerability assessment and appropriate security controls to improve the protection and reliability of academic information systems.
Analisis Komparatif Algoritma Naïve Bayes dan Support Vector Machine untuk Klasifikasi Sentimen Ulasan Pengguna RedNote di Google Play Store Ananda Akbar Maulana; Khothibul Umam; Maya Rini Handayani; Masy Ari Ulinuha
Walisongo Journal of Information Technology Vol. 8 No. 1 (2026): 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.2026.8.1.27311

Abstract

This study compares the performance of Naïve Bayes and Support Vector Machine (SVM) algorithms in classifying user sentiment toward the RedNote (Xiaohongshu) application based on reviews collected from the Google Play Store. A total of 2,364 reviews were collected through web scraping, comprising 1,373 positive reviews and 991 negative reviews. The research process involved text preprocessing, including case folding, non-alphabetic character removal, tokenization, stopword removal, and stemming. Text features were represented using Term Frequency–Inverse Document Frequency (TF-IDF), and the dataset was divided into training and testing sets using an 80:20 ratio. Model performance was evaluated using accuracy, precision, recall, and F1-score. The evaluation results showed that Naïve Bayes achieved an accuracy of 86%, outperforming SVM, which achieved 84% accuracy on the test set. Naïve Bayes also demonstrated a smaller gap between training and testing accuracy, whereas SVM exhibited a larger performance gap, suggesting a potential overfitting tendency. These findings indicate that Naïve Bayes is a more suitable model for the dataset and experimental setting examined in this study. This research provides a comparative evaluation of two machine learning algorithms for classifying RedNote user reviews and highlights the importance of assessing model performance beyond training accuracy.
Implementasi Zerotier-SDN Pada Remote Network Mikrotik Melalui Winbox X64 Di Pondok Al-Masthuriyah Reza Rahmatulloh; Muhammad Ferdy Irmawan; Dimas Abdul Karim Avicenna; Hery Mustofa
Walisongo Journal of Information Technology Vol. 6 No. 1 (2024): 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.2024.6.1.28044

Abstract

In the digital era, the need for flexible and secure network management has become increasingly critical, particularly within educational environments such as Islamic boarding schools (pondok pesantren). Conventional methods, such as traditional VPNs, frequently encounter access and security constraints. This study examines the implementation of Software Defined Networking (SDN)-based ZeroTier as a remote network management solution on MikroTik devices at Pondok Pesantren Al-Masthuriyah via Winbox x64. The methodology employs a case study and experimental approach comprising analysis, design, implementation, and testing phases. ZeroTier was configured as an overlay network to securely connect administrator devices and the MikroTik router. The testing results demonstrated a stable connection with an average latency of 48 ms and zero packet loss over a 24-hour period. Furthermore, the system is supported by end-to-end encryption and device authentication, which enhance security and network management efficiency. ZeroTier proves to be an effective, secure, and cost-efficient solution for remote network management in pesantren-based educational institutions.
Evaluation of the Usability of Meta AI in WhatsApp Using the System Usability Scale (SUS) Alif Salsabila; Evy Nurmiati; Nuryasin
Walisongo Journal of Information Technology Vol. 7 No. 1 (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.2025.7.1.32094

Abstract

The integration of artificial intelligence (AI) assistants into instant messaging applications has created new opportunities for users to access information and interact with conversational systems. However, the usability of these integrated features requires further evaluation. This study aimed to evaluate the perceived usability of Meta AI in WhatsApp using the System Usability Scale (SUS). A quantitative approach was employed through a questionnaire administered to 30 university students in Indonesia. Of these, 27 respondents were represented in the SUS calculation, while three respondents who had never used the feature were not included in the usability assessment. The results yielded an average SUS score of 53.0. Based on commonly used SUS interpretation frameworks, this score falls within the Marginal Low acceptability range, corresponds to Grade D on the grading scale, and receives an Okay adjective rating. The score is also below the commonly cited benchmark of 68, indicating relatively low perceived usability among the respondents included in the assessment. These findings suggest that the usability of Meta AI in WhatsApp requires further improvement. However, the results should be interpreted within the context of the study sample, which consisted of university students, and should not be generalized to all WhatsApp users. Further research involving more diverse respondents and complementary usability evaluation methods is recommended.
Analisis Sentimen Ulasan Pengguna Aplikasi KBBI pada Google Play Store Menggunakan Metode Naïve Bayes dengan Pembobotan TF-IDF Via Latifatul Habibah; Maya Rini Handayani
Walisongo Journal of Information Technology Vol. 6 No. 1 (2024): 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.2024.6.1.32686

Abstract

User reviews on the Google Play Store contain a wide range of feedback regarding app usage. In the case of the Kamus Besar Bahasa Indonesia app, these comments reflect a variety of opinions, making it important to identify sentiment in order to understand user feedback. This study processed 2,319 reviews from the Google Play Store through a series of text preprocessing steps such as data cleaning, tokenization, stop-word removal, stemming, and text reconstruction. Subsequently, the text was converted into a numerical representation using Term Frequency–Inverse Document Frequency (TF-IDF) and classified using the Naïve Bayes algorithm. Testing showed an accuracy of 87.5%. However, the model performed better on positive reviews, with precision, recall, and F1-score values of 0.95, 0.91, and 0.93, respectively, compared with 0.35, 0.46, and 0.40 for negative reviews. This difference indicates that the model was less effective in identifying negative sentiment, potentially due to the dominance of positive reviews in the dataset. These findings suggest that the proposed approach can be used to map user sentiment, although its performance in classifying negative reviews requires further improvement.  
Pengujian White-Box Menggunakan Teknik Basis Path Pada Sistem Informasi Pengajuan dan Monitoring Kerja Praktik Marwan Aldi Pratama; Siti Nur'aini
Walisongo Journal of Information Technology Vol. 6 No. 2 (2024): 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.2024.6.2.34408

Abstract

The Information System for Information Technology Internships at UIN Walisongo Semarang is being developed to support the structured and integrated process of submitting and monitoring student internship activities. Along with the system design, software testing is needed to ensure that the program's logic flow runs according to requirements and is free from errors. This research aims to test the internal structure of the program using the White-Box Testing method with the Basis Path Technique. The testing focusses on two core modules: the internship application process module and the application verification process module by the study program head. The testing stages include identifying the modules to be tested, creating flowcharts, forming flowgraphs, calculating Cyclomatic Complexity (CC), determining independent paths, and testing test cases. The test results show that the internship application process model has a Cyclomatic Complexity value of 7, resulting in seven independent paths, while the application verification process module has a Cyclomatic Complexity of 2 with two independent paths. All independent paths were successfully executed and produced the expected output. Based on these results, it can be concluded that the internal logic flow in each tested module has functioned very well and according to system requirements. Therefore, the White-Box Testing method with the Basis Path Technique is proven effective in testing the quality of the logical structure in the internship information system.
Pengukuran Kesadaran Keamanan Informasi pada Pengguna E-commerce Shopee di Indonesia Aditya Cahaya Romadon; Jefi, M.Kom
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.2025.7.2.18095

Abstract

This study examines information security awareness among Shopee e-commerce users in Indonesia based on gender, age group, educational background, and monthly income, and analyzes the association between awareness indicators and demographic characteristics. A quantitative survey approach was used, with closed-ended questionnaire items and cross-tabulation and Chi-Square analysis. The study involved [insert the number of valid respondents] respondents. The results indicate that the highest average awareness scores were found among male users (65.5%), users aged 18–25 years (66.9%), diploma graduates (73.3%), and users with monthly income above Rp10,000,001 (67.6%). The Chi-Square results show that associations differ across demographic characteristics and awareness indicators. These findings provide an overview of information security awareness among Shopee users in Indonesia.

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