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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Techno.Com: Jurnal Teknologi Informasi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Transformatika JAIS (Journal of Applied Intelligent System) Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Sistemasi: Jurnal Sistem Informasi InComTech: Jurnal Telekomunikasi dan Komputer Jurnal Algoritma Prosiding Seminar Nasional Hasil-hasil Penelitian dan Pengabdian Pada Masyarakat Seminar Nasional Teknologi dan Multidisiplin Ilmu
Chaerul Umam
Teknik Informatika, Fakultas Ilmu Komputer, Universitas Dian Nuswantoro
Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Public Health Social Sciences

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Implementation of a Supply chain Management System Blockchain-Based in Red Onion Farming Mira Nabila; Farrikh Alzami; Rama Aria Megantara; Fikri Firdaus Tananto; Hasan Aminda Syafrudin; L. Budi Handoko; Chaerul Umam
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 11 No 1 (2023): Vol. 11, No. 1, April 2023
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2023.v11.i01.p02

Abstract

Red Onions are a horticultural commodity belonging to the spice vegetable group and an important role for economy of the Indonesian people. In red onion farming there have a problem of price fluctuations which result in an uneven and less transparent distribution of red onions yields, thus affecting both consumers and producers. To answer these problems, we designed a system to maintain and store red onion harvest data for farmers, collectors, distributors, and retailers in the form of a blockchain-based supply chain system. This system can maintain the validity of transactions in the supply chain of red onion farming with a private blockchain with Hyperledger Fabric. Then the data on the blockchain system will be displayed through the Hyperledger Explorer website. This system already passed the Black Box Testing system. From the research and testing of the system that has been made, this system can help the red onion farming to maintain the validity of transactions in the supply chain management.
Kombinasi Steganografi LSB dan Kriptografi AES dalam Sekuriti Teks Rahasia Pada Citra Berwarna Chaerul Umam; Muslih Muslih; Daffa Fadillah
Seminar Nasional Teknologi dan Multidisiplin Ilmu (SEMNASTEKMU) Vol 2 No 1 (2022): SEMNASTEKMU
Publisher : Universitas Sains dan Teknologi Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/semnastekmu.v2i1.160

Abstract

Ketergantungan terhadap teknologi sebagai alat untuk melakukan dan membantu manusia dalam mengerjakanbanyak hal dan instan, membuat penggunaan teknologi menjadi semakin massif dan seringkali terjadipenyalahgunaan terhadap teknologi. Penggunaan yang massif dalam skala besar-besaran dan tidak terkontrolmembuat teknologi menjadi media yang rawan akan tindakan kriminal dan illegal. Faktor keamanan data menjadisuatu hal yang sangat penting dan harus dipertimbangkan terkait dengan semakin tingginya tingkat pertukaran data.Oleh sebab itu penulis memiliki gagasan dalam pengamanan data dengan menggabungkan teknologi kriptografi dansteganografi. Pemanfaatan algoritma kriptografi Advanced Encryption Standard dan steganografi Least SignificantBit diharapkan mampu untuk membantu dalam pengamanan data di era saat ini.
Comparative Analysis of TinyBERT, SVM, and Char-CNN Models for Phishing URL Detection Haeranisa Bella Krisanti; Chaerul Umam
Sistemasi: Jurnal Sistem Informasi Vol 15, No 5 (2026): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v15i5.6345

Abstract

Phishing is one of the most prevalent cybersecurity threats that exploits malicious URLs to deceive users and steal sensitive information. This study proposes a URL-based phishing detection method using the lightweight Transformer model TinyBERT and compares its performance with three baseline models: SVM based on character n-grams, Random Forest based on lexical URL features, and Char-CNN. The dataset used in this study consists of 49,750 URLs with multi-class labels (benign, defacement, malware, and phishing), which were subsequently binarized into phishing (label 1) and non-phishing (label 0). The data were divided using a stratified split into training, validation, and testing sets with a ratio of 70%–15%–15%. To address class imbalance, the TinyBERT model was trained using a weighted loss approach based on class weights. The evaluation was conducted using a confusion matrix, accuracy, precision, recall, F1-score, as well as ROC and Precision–Recall curves. Experimental results demonstrate that TinyBERT achieved the best performance, with an accuracy of 0.9925, phishing recall of 0.9512, and an F1-score of 0.9387. In addition, the model produced the lowest number of false negatives (22) compared with the baseline models. These findings indicate that TinyBERT is more effective in minimizing phishing URLs that are incorrectly classified as benign, making it more suitable for implementing URL-based phishing detection in cybersecurity systems.
Analisis Keamanan Website UPT RSUD RAA Soewondo Pati Berdasarkan Hasil Penetration Testing Menggunakan Owasp Dani Yudanta Prapaskia; Chaerul Umam
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3429

Abstract

The development of technology in the healthcare sector has encouraged the utilization of web-based platforms to comprehensively support hospital service operations. This requires the implementation of strict security standards to protect the privacy of patients’ medical data. This study focuses on evaluating the security level of the official website of UPT RSUD RAA Soewondo Pati through penetration testing based on the OWASP framework. The evaluation stages included web infrastructure identification using Wappalyzer and vulnerability scanning using OWASP ZAP. Based on the testing results, several security vulnerabilities with varying levels of risk were identified, including SQL Injection, Cross-Site Scripting (XSS) threats, and vulnerabilities related to session management and authentication systems. In general, the system’s security profile falls into the medium-risk category, indicating that further improvements are required to reduce cyber threats. The use of OWASP guidelines in this study proved effective in identifying system weaknesses while also formulating mitigation strategies, such as optimizing server configuration, implementing secure coding practices, and improving authentication workflows.
Co-Authors Adelia Syifa Anindita Alzami, Farrikh Andi Danang Krismawan Christy Atika Sari Daffa Fadillah Dani Yudanta Prapaskia De Rosal Ignatius Moses Setiadi Eko Hari Rachmawanto Fikri Firdaus Tananto Ghulam Maulana Rizqi Haeranisa Bella Krisanti Hasan Aminda Syafrudin L. Budi Handoko Lucky Arif Rahman Hakim Mira Nabila Muhammad Addissahhilna Muslih Muslih Rabei Raad Ali Rama Aria Megantara Sinaga, Daurat