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All Journal Syntax Jurnal Informatika Scan : Jurnal Teknologi Informasi dan Komunikasi Proceeding International Conference on Information Technology and Business Jurnal Informatika dan Teknik Elektro Terapan Journal of Information System JOIV : International Journal on Informatics Visualization INTEGER: Journal of Information Technology Jurnal Penelitian Pendidikan IPA (JPPIPA) JPP IPTEK (Jurnal Pengabdian dan Penerapan IPTEK) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) bit-Tech ILKOMNIKA: Journal of Computer Science and Applied Informatics JATI (Jurnal Mahasiswa Teknik Informatika) CICES (Cyberpreneurship Innovative and Creative Exact and Social Science) Jifosi Jurnal Pengabdian kepada Masyarakat Nusantara Nusantara Science and Technology Proceedings Jurnal Teknik Informatika (JUTIF) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) SINTA Journal (Science, Technology, and Agricultural) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Teknik Informatika dan Teknologi Informasi J-Icon : Jurnal Komputer dan Informatika TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Inspiration: Jurnal Teknologi Informasi dan Komunikasi Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Elektronika dan Teknik Informatika Terapan Jurnal Informatika Polinema (JIP) VISA: Journal of Vision and Ideas Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Merkurius: Jurnal Riset Sistem Informasi dan Teknik Informatika Jurnal Teknik Informatika dan Teknologi Informasi Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Publikasi Teknik Informatika
Firza Prima Aditiawan
Department Of Informatics, Universitas Pembangunan Nasional “Veteran” Jawa Timur, Surabaya 60294, Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Medicine & Pharmacology Physics Public Health Social Sciences Veterinary Other

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Pengujian Sistem Jaringan Dokumentasi Dan Informasi Menggunakan Black Box Testing Dan White Box Testing Muhammad Helmi Satria Fedianto; Firza Prima Aditiawan; Muhammad Muharrom Al Haromainy
Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis Vol. 3 No. 1 (2024): Januari : Jurnal Publikasi Sistem Informasi dan Manajemen Bisnis
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupsim.v3i1.2447

Abstract

Information systems in a company are important to increase productivity and quality in the company. With the development of technology today, it is certainly an convenience for companies in making information systems to support the performance of the company. To ensure the application runs according to functionality and find undiscovered errors in anticipation of upcoming errors, System testing is needed using Black Box and White Box to find errors in code structure and function errors in forms, interface design and data structures so that it can provide recommendations in accordance with the problems found and also facilitate program code maintenance or program code development in the future. From the test results, no problems were found in the login function and the majority of forms did not have handling to check empty input fields and obtained an effectiveness value of 62.5%..
Implementasi Collaborative Filtering Pada Aplikasi E-Commerce Penyewaan Costume Cosplay Muhammad Eko Prasetyo; Andreas Nugroho Sihananto; Firza Prima Aditiawan
Jurnal Publikasi Teknik Informatika Vol. 3 No. 1 (2024): Januari: Jurnal Publikasi Teknik Informatika
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupti.v3i1.2517

Abstract

Cosplay, a global popular cultural phenomenon, presents a challenge for cosplayers in obtaining suitable costumes. For instance, with the surge in cosplay events in Surabaya in July 2023, the development of a costume rental application could be a solution. This application allows cosplayers to easily rent costumes, reducing the cost and effort of creating their own attire. Utilizing Collaborative Filtering and K-Nearest Neighbor (K-NN) methods, the app will recommend costumes based on user interactions within an implicit feedback system. This research aims to create a practical and cost-effective solution for cosplayers in fulfilling their costume needs for cosplay events.
Expert System Implementation Using Certainty Factor Method for Early Pregnancy Disease Detection Nanda Syarla Hariyanti; Afina Lina Nurlaili; Firza Prima Aditiawan
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3366

Abstract

Pregnancy requires continuous and accurate monitoring to prevent complications that may endanger both the mother and the fetus. Data from the 2024 Maternal Perinatal Death Notification (MPDN) system recorded an increase in maternal mortality, largely driven by delays in early diagnosis and late referral to appropriate healthcare facilities. These conditions highlight the need for decision-support technologies capable of providing timely and consistent early risk detection. This study develops HerBump, a web-based expert system designed to support the early identification of common pregnancy-related diseases by integrating the Certainty Factor (CF) method with expert medical knowledge. The novelty of this work lies in the use of CF to represent the degree of confidence from both experts and users, which helps improve diagnostic accuracy compared with conventional rule-based systems, especially in cases where symptoms are overlapping, incomplete, or vary between individuals. Evaluation results show that HerBump can generate early diagnostic outputs accurately and efficiently, supported by a System Usability Scale (SUS) score of 98.3 (Excellent) and Blackbox Testing that confirms all features function correctly across different scenarios. More broadly, the system has meaningful implications for maternal health, as it can support earlier interventions, enhance the consistency of risk assessments, and potentially help reduce maternal and infant mortality through faster and more reliable early detection. Its simple and scalable design also enables potential use in resource-limited areas, including regions with shortages of healthcare workers, with future development opportunities through expanded disease coverage and more diverse datasets to strengthen diagnostic reliability.
A Web-Based Online Reservation System with Personalized Tourism Recommendations Using Content-Based Filtering Rizky Amelia; Afina Lina Nurlaili; Firza Prima Aditiawan
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3382

Abstract

The rapid growth of digital technologies has transformed the tourism industry and increased the need for personalized recommendation systems to enhance user experience and business competitiveness. However, many small- and medium-scale travel agencies still rely on manual reservation processes and social media–based promotions, which limit service efficiency and personalization. This study designs and implements a web-based reservation and tourism recommendation system for Sumovacation Tour using a Content-Based Filtering approach enhanced with feature weighting and cosine similarity. The main novelty of this study lies in the feature weighting mechanism, which assigns different importance levels to package attributes such as activities, travel duration, package type, and budget, improving recommendation relevance compared to standard content-based methods. Data were collected from Google Maps reviews in 2025, resulting in approximately 300 rating and review entries. The recommendation engine computes weighted relevance scores from user preference tags and package metadata to generate personalized recommendations. System functionality was validated using Black Box Testing, where all core workflows successfully passed, while usability evaluation using the USE Questionnaire showed high user acceptance, with usefulness, satisfaction, and ease of use each scoring 94.4%, and ease of learning reaching 95.2%. During testing, challenges related to data consistency and user input variation were addressed through input validation. The results show that the proposed system improves recommendation relevance while enhancing operational efficiency by reducing manual booking handling and supporting digital reservation management.
Aplikasi OMR untuk Pemeriksaan Lembar Jawaban menggunakan DexiNed Kus Dwi Prastyo; Achmad Junaidi; Firza Prima Aditiawan
bit-Tech Vol. 8 No. 3 (2026): bit-Tech
Publisher : Komunitas Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32877/bt.v8i3.3425

Abstract

Digital image processing is a field of computer science that focuses on analyzing and interpreting digital images to extract meaningful information. One of its applications is Optical Mark Recognition (OMR), a technology used to detect marks on documents. OMR is commonly utilized for evaluating answer sheets. However, conventional OMR systems typically rely on specialized scanners that are expensive and lack flexibility. Although Computer-Based Testing (CBT) offers the convenience of automated scoring, its implementation heavily depends on the availability of technological infrastructure such as computers, internet connectivity, and a stable power supply. This study develops a real-time Optical Mark Recognition (OMR) application capable of performing answer sheet assessment directly on the client side. The system utilizes the DexiNed method for edge detection of the answer areas. The application is web-based and built using JavaScript and OpenCV.js to process images directly from the user's device camera. Testing was carried out under various scenarios, including different lighting intensities, scanner positions, pencil types, and shading quality. The results show that the application can detect marked answers with an accuracy up to 100%, although some limitations were observed under certain technical conditions. Weaknesses were found in low lighting conditions using a 5 watt lamp at a distance of 3 meters, light reflections, and the camera angle was not aligned with the answer sheet. Overall, the application provides an efficient and flexible alternative for answer sheet assessment without requiring dedicated scanning devices, making it suitable for educational institutions with limited infrastructure.
IDENTIFIKASI PENYAKIT DAUN DAN BATANG TANAMAN JAGUNG MENGGUNAKAN VGG16-SVM Shintyadhita Wirawan Putri; Anggraini Puspita Sari; Firza Prima Aditiawan
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 11, No 2 (2026)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v11i2.8020

Abstract

Penelitian ini mengusulkan model klasifikasi citra berbasis pendekatan hybrid antara Convolutional Neural Network (CNN) dan Support Vector Machine (SVM) untuk mendeteksi penyakit pada daun dan batang tanaman jagung. Arsitektur CNN yaitu VGG16 digunakan untuk mengekstraksi fitur visual dari citra, yang kemudian direduksi dimensinya menggunakan Principal Component Analysis (PCA), dan selanjutnya diklasifikasikan menggunakan SVM. Dataset yang digunakan terdiri dari tujuh kelas, diambil dari dua sumber citra penyakit jagung di Madura, Indonesia. Evaluasi dilakukan melalui pembagian data dengan beberapa skema serta pengujian kombinasi parameter SVM. Hasil terbaik diperoleh pada skema pembagian data 60:20:20 dengan kombinasi parameter C=10, kernel=RBF, dan gamma=scale, menghasilkan akurasi validasi sebesar 96,33% dan akurasi pengujian sebesar 96,12%. Model menunjukkan performa yang baik dalam membedakan kategori batang, serta cukup baik pada kategori daun meskipun terdapat kemiripan fitur antar kelas.
Robustness Evaluation of Gradient Boosting Models Against Unseen Attacks on the ToN-IoT Dataset Hakim, Albi Akhsanul; Aditiawan, Firza Prima; Junaidi, Achmad
ILKOMNIKA Vol 8 No 2 (2026): Volume 8, Number 2, August 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v8i2.886

Abstract

Machine learning-based Intrusion Detection Systems (IDS) often achieve strong performance on known attack distributions but may degrade when encountering unseen attacks. This study evaluates the robustness of two gradient boosting models, XGBoost and LightGBM, under unseen attack distribution shifts using the ToN-IoT dataset. A controlled attack-exclusion strategy was applied, where selected attack types were excluded from training and evaluated only during testing. Unlike conventional unseen-attack evaluations that primarily report performance degradation, this study further investigates attack-specific degradation through feature-level distribution similarity analysis. Feature importance analysis was used to identify key traffic features, while Jensen-Shannon Divergence (JS Divergence) quantified distribution similarity between attack and normal traffic. Model robustness was assessed using Recall, Macro-F1, PR-AUC, False Negatives (FN), and False Negative Rate (FNR) across five random seeds. The results show that performance degradation varied substantially across attack types. Both models maintained near-baseline performance for unseen Scanning attacks, whereas unseen DDoS and especially MITM attacks produced larger increases in FNR and greater performance degradation. Correlation analysis indicated that the proto feature exhibited the strongest relationship between distribution similarity and detection errors, with lower JS Divergence generally associated with higher FNR. These findings suggest that robustness degradation depends not only on attack novelty but also on the similarity between attack and normal traffic distributions, providing additional insight into attack-specific robustness behavior in IDS models.
Analisis Perbandingan Implementasi Clean Architecture Menggunakan MVP, MVI, Dan MVVM Pada Pengembangan Aplikasi Android Native Firmansyah Firdaus Anhar; Made Hanindia Prami Swari; Firza Prima Aditiawan
Jupiter: Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika Vol. 2 No. 2 (2024): Maret : Publikasi Ilmu Keteknikan Industri, Teknik Elektro dan Informatika
Publisher : Asosiasi Riset Ilmu Teknik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/jupiter.v2i2.155

Abstract

Clean architecture is a method of application development that divides code into multiple layers based on the purpose of the code, ensuring minimal dependency. Popular architectures in Android application development include MVP (Model View Presenter), MVI (Model View Intent), and MVVM (Model View ViewModel). This research focuses on creating three applications with similar features and interfaces using different architectures. The study compares modifiability, testability, and performance aspects to determine the differences between each architecture. The results show that MVVM architecture is the best in modifiability, with the lowest number of index modifications. Testability requires no more than four scenarios for all architectures. However, MVI architecture outperforms in test coverage, and MVP architecture outperforms in performance. Overall, clean architecture is a valuable approach for improving the performance and usability of Android applications.
Co-Authors Achmad Junaidi Adzanil Rachmadhi Putra Agil Sakinah, Fenti Agung Mustika Rizki Agung Mustika Rizki, Agung Mustika Akbar, Fawwaz Ali Akhmad Fauzi Al Fathoni, Hanif Alit, Ronggo Alwin, Muhammad Izdihar Andreas Nugroho Sihananto Anggraini Puspita Sari Anggriawan, Teddy Prima Aniisah Eka Rahmawati Ardilla, Aufa ASHARI, FAISAL Boy Diego Lumwartono Davila Erdianita Dimas Putra Andaru Dimas Putra Andaru Dwi Arman Prasetya Dwi Arman Prasetya Dwi Rahma Putri, Septiani Eka Prakarsa Mandyartha Eka Zuni Selviana EKO WAHYUDI Eriyansyah Yusuf Suwandana Eva Yulia Puspaningrum Fetty Tri Anggraeny Fidela Carissa Aramintha Firmansyah Firdaus Anhar Gusti Eka Yuliastuti Hakim, Albi Akhsanul Hamidah Hendrarini Hardianto, Eragradiansyah Henni Endah Wahanani Herdi Rofaldi Hidra Amnur I Gede Susrama Idhom, Mohammad Iriansah, Ogy Rachmad Ismiati, Suci Khairil Amin, Mohammad Kus Dwi Prastyo Lina Nurlaili, Afina M. Zaky Pria Maulana Made Hanindia Prami Swari Mafaza, Rima Muttaqina Mahanani, Anajeng Esri Edhi Maulana, Hendra Mubarokah Muhammad Eko Prasetyo Muhammad Helmi Satria Fedianto Muhammad Izdihar Alwin Muhammad Izdihar Alwin Muhammad Muharrom Al Haromainy Mustika Rizki, Agung Muttaqin, Faisal Muttaqin, Faisal Nanda Syarla Hariyanti Nugroho Gultom, Wahyu Nugroho Sihananto, Andreas Nur Aini Ersanti Nurlaili, Afina Lina Nurlaili, Afina Lina Parlika, Rizky Pradana Ariando, Aldo Pratama Wirya Atmaja Pratama Wirya Atmaja Puspaningrum, Eva Y Rahmawati, Aniisah Eka Raviy Bayu Setiaji Retno Mumpuni Rizki, Agung Mustika Rizky Amelia Rizqulloh Zain, Muhammad Dhiya'ulhaq Roiqoh, Aprinia Salsabila Samdono, Arif Shabika Aqmarina, Azzuraa Shintyadhita Wirawan Putri Soedarto, Teguh Suprapto, Claudia Millennia Vita Via, Yisti Wahyu Syaifullah Jauharis Saputra Wardana, Nabila Sya’bani Wicaksa Putra Pribadi, Achareeya Widoretno, Astrini Aning Winata, Chycik Ayu Wirya Atmaja, Pratama Yunizar, Sri Fatmawati