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Security Analysis of XYZ Website Using OWASP Zap Tools Muhammad Amirul Mu'min; Yana Safitri; Galih Pramuja Inngam Fanani; Setiawan Ardi Wijaya; Novi Tristanti
Journix: Journal of Informatics and Computing Vol. 1 No. 1 (2025): April
Publisher : Ran Edu Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63866/journix.v1i1.1

Abstract

In the growing digital era, website security is a critical aspect that must be considered. Vulnerabilities such as Cross-Site Scripting (XSS), Clickjacking, and Man-in-the-Middle can pose serious risks to data integrity and security. Therefore, effective tools are needed to identify and evaluate such vulnerabilities to prevent costly exploitation. This research aims to analyze security vulnerabilities on the website using OWASP ZAP (Zed Attack Proxy) as a penetration testing tool, and provide mitigation recommendations to improve system security. The method used is penetration testing by utilizing OWASP ZAP to identify security vulnerabilities on the website. The research stages include testing, analyzing the results, and preparing mitigation recommendations based on the findings of vulnerabilities such as A01, A03, and A04. The results showed that OWASP ZAP successfully identified various vulnerabilities, including XSS, Clickjacking, and Man-in-the-Middle. Recommended mitigation measures include configuring security headers and protecting sensitive data to prevent exploitation. OWASP ZAP proved to be effective in detecting and evaluating security vulnerabilities on websites. In addition, the tool also raises awareness of the importance of strong security policies. With the implementation of mitigation recommendations, website owners can better protect sensitive data, maintain user trust, and stay safe in an increasingly complex digital environment.
Respon Kebencanaan Hidrometeorologi Lintas Provinsi (Sumatera Barat, Sumatera Utara, dan Aceh) Badrun, Yeeri; Mukhtar, Harun; Wijaya, Setiawan Ardi
Jurnal Pengabdian UntukMu NegeRI Vol. 10 No. 1 (2026): Pengabdian Untuk Mu negeRI
Publisher : LPPM UMRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jpumri.v10i1.11226

Abstract

Akhir November 2025, Siklon Tropis Senyar memicu curah hujan ekstrem yang menyebabkan banjir bandang dan longsor besar di Sumatera Barat, Sumatera Utara, dan Aceh. Ribuan warga terdampak, ratusan rumah rusak, dan akses jalan terputus. Sebagai wujud pengabdian kepada masyarakat, respon darurat bencana lintas provinsi dalam tiga tahap operasi dari 29 November 2025 hingga 16 Januari 2026. Sebanyak 20 relawan dikerahkan untuk melaksanakan asesmen kebutuhan cepat, distribusi logistik kepada lebih dari 609 kepala keluarga di sepuluh lokasi, operasi dapur umum, pembersihan lokasi, pendirian sekolah darurat, dan penyediaan fasilitas WASH. Sinergi antara PWM Riau, LAZISMU, UMRI, dan jejaring Muhammadiyah se-Sumatera menjadi kunci keberhasilan respon lintas provinsi ini.
PERANCANG SISTEM INFORMASI PT NUSANTARAN ALUMUNIUM UNTUK SISTEM PEMESANAN DENGAN METODE RAPID APPLICATION DEVELOPMENT (RAD) Setiawan Ardi wijaya; Aliyah khalista putri; Muhammad Shafwannullah Abdul Aziz; Muhammad Wahyu Illahi; Helwina Putri Rahmadani; Angellina Nurul Qulbi Siburian; Rafif Syahril Nugraha
PROSISKO: Jurnal Pengembangan Riset dan Observasi Sistem Komputer Vol. 13 No. 1 (2026): Prosisko Vol. 13 No. 1 Maret 2026
Publisher : Pogram Studi Sistem Komputer Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/prosisko.v13i1.11488

Abstract

PT Nusantara Aluminium merupakan perusahaan distribusi bahan konstruksi aluminium yang berlokasi di Pekanbaru dan melayani berbagai segmen pelanggan dari sektor ritel hingga proyek menengah. Dalam operasionalnya, perusahaan masih mengandalkan sistem manual untuk pencatatan persediaan, transaksi penjualan, pemesanan produk, dan pengelolaan data pelanggan yang menimbulkan berbagai permasalahan operasional. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem informasi pemesanan berbasis web guna meningkatkan efisiensi dan akurasi pengelolaan bisnis. Metode penelitian yang digunakan adalah Rapid Application Development (RAD) yang mengutamakan kecepatan dalam proses pembuatan dan memungkinkan umpan balik langsung dari pengguna. Desain sistem dirancang menggunakan pendekatan Unified Modeling Language (UML) untuk mempermudah pengembangan dan pemahaman alur kerja sistem. Diagram UML yang digunakan meliputi use case diagram untuk menggambarkan interaksi antara aktor sistem, activity diagram untuk menjelaskan alur proses bisnis, sequence diagram untuk menunjukkan urutan interaksi antar objek, dan class diagram untuk merepresentasikan struktur data dan relasi antar entitas. Hasil penelitian menunjukkan bahwa sistem informasi yang dikembangkan mampu mengotomatisasi proses bisnis dan meningkatkan kinerja operasional perusahaan secara menyeluruh. Sistem ini berhasil mengatasi permasalahan keterlambatan dalam pengecekan persediaan, kesalahan pencatatan barang masuk dan keluar, serta ketidakefisienan dalam pengelolaan data pelanggan. Implementasi sistem informasi berbasis web ini memberikan solusi komprehensif untuk modernisasi proses bisnis di PT Nusantara Aluminium dan memperbaiki kualitas layanan kepada pelanggan.
Pembuatan Profil Status Gizi Balita Berbasis Pembelajaran Mesin Menggunakan Indikator Antropometri Dianda Rifaldi; Galih Pramuja Inngam Fanani; Alya Masitha; Setiawan Ardi Wijaya; Irwandi Rizki Saputra
Jurnal Riset Sistem dan Teknologi Informasi Vol. 4 No. 2 (2026): Jurnal Riset Sistem dan Teknologi Informasi (RESTIA)
Publisher : Universitas Aisyiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30787/restia.v4i2.2658

Abstract

Stunting and nutritional issues among children under five remain major public health challenges in Indonesia, requiring precise, data-driven monitoring. This study aims to establish nutritional status profiles for children under five using a machine learning approach based on anthropometric indicators. The methodology began with a data quality audit and Exploratory Data Analysis (EDA) on a dataset comprising 120,999 observations with no missing values. The dataset consisting of age, height, and gender attributes was split using a stratified approach (80:20) and subsequently standardized using StandardScaler and OneHotEncoder. Four classification algorithms (Logistic Regression, Decision Tree, Gradient Boosting, and Random Forest) were evaluated comparatively. Experimental results demonstrated that Random Forest achieved the best performance, with an accuracy of 98.94%, a macro-averaged Precision of 98.74%, a macro-averaged Recall of 98.45%, and a macro-averaged F1-Score of 98.59%. The model's reliability and consistency were confirmed via 5-Fold Stratified Cross-Validation, yielding an average accuracy of 99.04% with a very low standard deviation (0.0009). Furthermore, feature importance analysis revealed that height (60%) and age (39%) were the most dominant anthropometric indicators in determining the nutritional status profiles of children under five. This study demonstrates that the Random Forest algorithm, based on anthropometric indicators, is suitable for implementation as a decision support system for growth monitoring and the early detection of nutritional issues in children.
Co-Authors Abdennasser, Dahmani Abdul Fadlil Abid Yanuar Badharudin Abraar, M. Said Ada, Yosia Agus Prasetyo Marsaid Ahmad Bukhari, Ahmad Alfian Ma’arif Aliyah khalista putri Alya Masitha Angellina Nurul Qulbi Siburian Anton Yudhana Anton Yudhana Ariska Fitriyana Ningrum Aryanto Asno Azzawagama Firdaus Br Bangun, Elsi Titasari Brilianti Nafilah, Rizkiya Dianda Rifaldi Doni Winarso, Doni Dwi Purnomo, Raka Edo Arribe, Edo Fanani, Galih Pramuja Inngam Fauzan, Al fana Fauzan, Wahyu Fazilla, Rahma Muti Firmansyah Firmansyah Fitri Anggraini Fladea, Saskia Azki Furizal, Furizal Galih Pramuja Inngam Fanani Gerry Julian Hafsari, Rizka Harun Mukhtar Hasanah, Rakyatul Hasanah, Zakiyah Helwina Putri Rahmadani Irwandi Rizki Saputra Kariyamin, Kariyamin Laia, Ertin Mardiyanto, Silvia Marisa, Vania Mihardi, Hansen Muhammad Amirul Mu'min Muhammad Shafwannullah Abdul Aziz Muhammad Wahyu Illahi Murni Muzdhalifatul Ijfi, Inessthasia Nakib, Arman Mohammad Novi Tristanti Novi Tristanti Nurhikmayani, Nurhikmayani Pratama, Dzaky Medlin Pratama, Nanda Dean Putera, Ardi Maulia Putri, Jossie Mutiarani Putri, Tia Refviani Rafif Syahril Nugraha Ramadhan, Aziz Rizki Risnal Diansyah, Risnal Safuan, M. Chairil Sarohim, Nabil saskia, ananda Sharkawy, Abdel Nasser Silpandi, Dimas Sulistiani Sulistiani, Sulistiani Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Suwarno, Iswanto Syahril Syaputri, Qori Monica Tri Stiyo Famuji TSABITAH, NAYLA Wahyu Ningsih, Dwi Putri Wide Mulyana Wiyrabawa Kainna Putra Rachman Yana Safitri Yana Safitri Yeeri Badrun Yusuf Hendra Pratama Zahran Ramdani, Ibnu Ziad Iqbal, Muhammad