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All Journal Jupiter Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal sistem informasi, Teknologi informasi dan komputer Infotech Journal Jurnal Ilmiah KOMPUTASI Prosiding Seminar Nasional Teknoka JITK (Jurnal Ilmu Pengetahuan dan Komputer) Indonesian Journal of Applied Informatics Jurnal Riset Informatika Progresif: Jurnal Ilmiah Komputer Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Community Development Journal: Jurnal Pengabdian Masyarakat Infotech: Journal of Technology Information Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Journal of Business and Audit Information System (JBASE) Jurnal Pendidikan dan Teknologi Indonesia KLIK: Kajian Ilmiah Informatika dan Komputer Jurnal Abdi Masyarakat Indonesia SYNERGY: Jurnal Bisnis dan Manajemen Jurnal Pustaka AI : Pusat Akses Kajian Teknologi Artificial Intelligence Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Jurnal Sistem Informasi dan Manajemen The Indonesian Journal of Computer Science Jurnal Kemuhammadiyahan dan Integrasi Ilmu Jurnal Media Digital Journal of Nexural Intelligence
Ade Davy Wiranata
Universitas Muhammadiyah Prof. Dr. HAMKA Jakarta, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences

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ANALISIS KERENTANAN APLIKASI WEB MODERN MENGGUNAKAN BLACK-BOX PENETRATION TESTING BERBASIS OWASP TOP 10:2025 Asruddin Rudi; Mirza Sutrisno; Ade Davy Wiranata; Anton Maulana Ibrahim
Infotech: Journal of Technology Information Vol 12, No 1 (2026): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v12i1.615

Abstract

Web application security has become a critical concern as cyber threats evolve in sophistication and frequency. This study analyzes vulnerabilities in modern web applications using the black-box penetration testing method based on the OWASP Top 10:2025 framework within an isolated environment. The research employs VulnApp, an intentionally vulnerable web application deployed as a controlled research target, tested using three open-source DAST tools: Nmap, Nikto, and manual exploitation techniques following stages of reconnaissance, scanning, exploitation, and reporting. Results indicate 24 verified vulnerabilities distributed across 8 of 10 OWASP Top 10:2025 categories, with the combination of tools achieving a Detection Rate (DR) of 83.3%, F1-Score of 0.889, and a Risk Score Composite (RSC) of 7.39, indicating a high-risk application profile. The highest severity findings were identified in Injection (A05, CVSS 9.8), Authentication Failures (A07, CVSS 8.8), and Broken Access Control (A01, CVSS 8.1). The isolated containerized environment proved effective as a reproducible and legally compliant research laboratory.
Penggunaan Figma dan Metode Design Thinking dalam User Interface dan User Experience untuk Website E-Commerce Pasar Grosir Tradisional Muhammad Erik; Ade Davy Wiranata
Journal of Information System Research (JOSH) Vol 6 No 4 (2025): July 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v6i4.8043

Abstract

This study aims to design the User Interface (UI) and User Experience (UX) of a management website for a wholesale store UD. Putra Banjar in Jakarta using Figma software and the Design Thinking method. The background of this study is the need for digitalization in stock and transaction management which has so far been done manually and is considered inefficient. This study identified four main problems: the integration of Figma and Design Thinking in the design process, the involvement of owners and customers in development, increasing transaction efficiency through the website, and providing additional features to increase customer trust in the product. The Design Thinking method used includes five stages, namely Empathize, Define, Ideate, Prototype, and Test. The initial stage is carried out through interviews with owners and customers to explore needs and problems. The results of the analysis are then formulated into a design solution that is visualized in the form of a prototype using Figma. Trials were carried out by 15 users to obtain feedback to improve the design. The expected results of this study are the creation of an effective, efficient, and responsive website UI/UX design to user needs. In addition, the product review feature is expected to help customers in decision making. This research is expected to contribute to the operational efficiency of UD. Putra Banjar and become a reference in the digitalization of similar MSMEs in Indonesia.
Rancang Bangun Sistem Informasi Layanan E-Laundry Berbasis Website di Berkah Laundry Ciputat Tangerang Selatan Bagus Arfian Laksono; Ade Davy Wiranata; iswahyudi
Jurnal Media Digital Vol. 2 No. 01 (2026): Media Digital Mei 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas LIA

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Abstract

Perkembangan pesat teknologi informasi mendorong berbagai usaha jasa untuk bertransformasi secara digital, termasuk usaha laundry. Berkah Laundry Ciputat merupakan salah satu usaha laundry yang masih mengandalkan proses manual dalam pengelolaan transaksi, pemesanan, dan pemantauan status layanan. Berdasarkan observasi langsung, tercatat rata-rata 15–20 kesalahan pencatatan transaksi per bulan dan 70% pelanggan mengeluhkan lambatnya respons informasi status cucian. Penelitian ini bertujuan merancang dan mengimplementasikan sistem layanan e-laundry berbasis website untuk mengatasi kendala operasional tersebut. Sistem dikembangkan menggunakan metode Agile dengan empat sprint iterasi. Pengujian fungsionalitas menggunakan black box testing menunjukkan seluruh 15 skenario uji termasuk skenario error berjalan sesuai spesifikasi. Evaluasi kepuasan pengguna dilakukan melalui kuesioner kepada 53 responden dengan instrumen 7 pertanyaan berbasis skala Likert 5 poin yang telah diuji validitas (r hitung > r tabel = 0,270) dan reliabilitas (Cronbach Alpha = 0,834). Hasil evaluasi menunjukkan indeks persentase sebesar 89,54% dalam kategori "Sangat Baik".
Deep Learning Approaches For Distributed Denial Of Service (DDOS) Attack Detection In Software-Defined Networking: A Systematic Literature Review Ade Davy Wiranata; Intan Murniasih; Rudy Ansari
Journal of Nexural Intelligence Vol. 1 No. 1 (2026): Journal of Nexural Intelligence
Publisher : Citra Air Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71200/nexural.v1.i1.263

Abstract

Software-Defined Networking (SDN) has emerged as a foundational paradigm for programmable, centrally-managed networks, but its logically centralised control plane is highly attractive to Distributed Denial of Service (DDoS) adversaries. Traditional signature- and threshold-based defences struggle against polymorphic and low-rate attack patterns, motivating a rapid migration toward Deep Learning (DL) based detection. This Systematic Literature Review (SLR), conducted in accordance with the PRISMA 2020 guideline and a PICOC framework, identifies, classifies, and analyses 62 primary studies published between January 2020 and February 2026 on DL-based DDoS detection in SDN. Three research questions are answered, covering publication venues, the most active researchers, and the architectures, datasets, and evaluation metrics employed. The findings reveal that Convolutional Neural Networks (38.7%), hybrid CNN-LSTM models (24.2%), and Transformer/Graph Neural Networks (14.5%) dominate recent designs, while the InSDN and CIC-DDoS2019 datasets are the de-facto benchmarks. Macro-averaged accuracy across high-quality studies exceeds 99%, yet real-time deployment, explainability, and cross-dataset generalisability remain open challenges. The review provides a consolidated knowledge map and an empirically grounded research agenda for the next generation of intelligent SDN defences
Analisis Sentimen Ulasan Aplikasi Gojek Menggunakan Support Vector Machine Muhammad Fariz; Ade Davy Wiranata
Progresif: Jurnal Ilmiah Komputer Vol. 22 No. 3 (2026): Juli
Publisher : STMIK Banjarbaru

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35889/progresif.v22i3.3969

Abstract

Evaluating Gojek’s service quality can be achieved by extracting valuable insights from the Google Play Store review corpus. However, the surging volume of data necessitates computational automation to substitute inefficient manual analysis. This study develops a sentiment analysis model using the Support Vector Machine (SVM) algorithm applied to 2,000 scraped reviews. The corpus undergoes comprehensive text preprocessing, rating-based polarity labeling, and lexical feature extraction via Term Frequency-Inverse Document Frequency (TF-IDF). Model validation demonstrates an impressive predictive performance, achieving an accuracy of 86.21%. The distribution of public opinion reveals a dominance of positive sentiment at 57.47%, outperforming the negative cluster at 42.53%. Empirically, the methodological fusion of TF-IDF and SVM is highly reliable as an analytical instrument to dissect consumer perceptions for future service improvements. Keywords: Sentiment Classification; Support Vector Machine; TF-IDF Weighting; Service Evaluation; Gojek. Abstrak Evaluasi kualitas layanan Gojek dapat diekstraksi dari korpus ulasan Google Play Store. Namun, lonjakan volume data menuntut otomatisasi komputasional guna mensubstitusi analisis manual yang inefisien. Penelitian ini mengonstruksi model analisis sentimen menggunakan algoritma Support Vector Machine (SVM) terhadap 2.000 entri ulasan hasil web scraping. Korpus diproses melalui tahapan prapemrosesan teks komprehensif, pelabelan polaritas berbasis rating, serta ekstraksi fitur leksikal mendayagunakan metode Term Frequency-Inverse Document Frequency (TF-IDF). Validasi arsitektur klasifikasi membuktikan performa prediktif yang impresif, dengan raihan akurasi menyentuh 86,21%. Peta distribusi opini publik mendemonstrasikan dominasi sentimen afirmatif (positif) sebesar 57,47%, mengungguli klaster negatif di angka 42,53%. Secara empiris, fusi metodologis antara pembobotan TF-IDF dan SVM terbukti sangat andal sebagai instrumen analitik komputasional guna membedah persepsi konsumen demi mendukung evaluasi perbaikan layanan Gojek di masa depan.
ADAPTIVE PATH ROUTING USING THE RYU CONTROLLER TO ENHANCE QUALITY OF SERVICE IN SOFTWARE-DEFINED NETWORKS Ade Davy Wiranata; Intan Murniasih; Soleman Soleman
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 12 No. 1 (2026): JITK Issue August 2026
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v12i1.8493

Abstract

Software-Defined Networking (SDN) separates the forwarding layer from a programmable control layer, enabling traffic management from a single logical control point. However, when the controller forwards along purely topological shortest paths, it cannot exploit the path diversity of multi-rooted data-centre fabrics, so flows are concentrated on a subset of links while equally short alternatives stay idle. This work introduces an Adaptive Path Routing (APR) application for the Ryu controller. At each monitoring tick APR queries the OpenFlow statistics interface and selects end-to-end paths that minimize a normalized composite cost combining residual bandwidth, one-way delay, and loss. APR and the default shortest-path-first (SPF) baseline were implemented on the same controller and evaluated in Mininet on a k=4 fat-tree (20 switches, 16 hosts; links shaped to 10 Mbps and 2 ms) across four workloads, each repeated ten times. Against SPF, APR more than doubles aggregate TCP goodput under light load (9.28 to 18.93 Mbps, +104.1%, p<0.01) by spreading flows across the four core switches through load-aware path placement, while under saturation it matches the baseline and, owing to a 30% hysteresis threshold, never increases jitter or packet loss. These results show that live-metric adaptive path selection yields large throughput gains where path diversity can be exploited and behaves as a safe drop-in replacement for shortest-path forwarding otherwise.
Co-Authors Ahamad Ahdani Ahmad, Irsana Al-Tain, Qolibu Rozak Aldisa, Rima Tamara Anton Maulana Ibrahim Ariyansyah, Riyan Asruddin Asruddin Rudi Asrul Sani Azhar, Nur Chalik Bagus Arfian Laksono Baktiar, Muhammad Yusuf Budiyantara, Agus Catur Nugroho Cleary Syafi'i, Akbar Dede Irawan Deni Mahdiana Dwi Prastiko, Andika Dzikrillah, Ahmad Rizal Elvinaadellia, Elvinaadellia Erizal Erizal Fadhilah, Ash Shoffi Hana Fakhriyyah , Alma Nisa Firdaus Firmansyah Firmansyah, Firadaus Fitria Nur Hasanah Gunadi, Reza Haderiansyah Haderiansyah Hamimuddin, Moch Hilmi Ammar I Ketut Sudaryana, I Ketut Indriani Indriani Intan Murniasih Intan Murniasih Irwansyah Irwansyah Irwansyah Irwansyah Irwansyah Irwansyah iswahyudi Iswahyudi Iswahyudi Jazuli, Umar Jefri Kusuma Rambe M, Tupan Tri MA'MUN, AKHMAD HAQIQI Makmun, Akhmad Haqiqi Maulana, Ninda Baitza Meitiyani, Meitiyani Miftahuddin Miftahuddin Mirza Sutrisno Muhamad Fadilah Rafli Muhammad Efrizal Febriyan Muhammad Erik Muhammad Fariz Muhammad Iqbal Muhammad Yusuf Siregar Mukhtar, Ahmad Amirrudin Murniasih, Intan Muryono, Tupan Tri Mutiarawan, Rezza Anugrah Ninda Baitza Maulana Nunik Pratiwi Pinardi, Sofia Pratiwi, Nunik Rabbani, Abrar Dyah Rachman, Hafid Sulistyo Rafie Rafie Rahardjo, Rafi Diandra Dani Rahmi Imanda Ramza, Harry Rayhan Suwito Rezza Anugrah Mutiarawan Ridha Faiz Ananda Rima Tamara Aldisa Rima Tamara Aldisa Riyan Ariyansah Riza Alamsyah Rizal Rizal Rizki Adi Saputra Rosalina Rosalina Rudy Ansari Saefulloh, Mochamad Saifudin, Yazid Saryanto, Hendi Sinduningrum, Estu soleman soleman Soleman, Soleman Sulistiawati Sulistiawati Syakura, Rais Abdan Widodo, Muh. Adnan Widodo, Muhammad Adnan Wulansari, Aprilya Siti Zulhamdani Zulhamdani