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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Telematika : Jurnal Informatika dan Teknologi Informasi Seminar Nasional Informatika (SEMNASIF) CESS (Journal of Computer Engineering, System and Science) JIKO (Jurnal Informatika dan Komputer) SMARTICS Journal IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Komtika (Komputasi dan Informatika) Compiler INTEK: Informatika dan Teknologi Informasi Jurnal Ilmiah Sinus Building of Informatics, Technology and Science JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Manajemen Informatika dan Sistem Informasi Indonesian Journal of Business Intelligence (IJUBI) Cyber Security dan Forensik Digital (CSFD) JOURNAL OF INFORMATION SYSTEM MANAGEMENT (JOISM) Jurnal Rekayasa Lingkungan Jurnal Kajian Ilmiah Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Aplikasi Teknologi Informasi dan Manajemen (JATIM) JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Teknomatika: Jurnal Informatika dan Komputer Environmental Insight Journal Jurnal Komtika (Komputasi dan Informatika) Jurnal Repositor
Dedy Hariyadi
Universitas Jenderal Achmad Yani Yogyakarta
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Social Sciences Other

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A Bibliometrics Analysis of Multimedia Forensics and Deep Learning Research Based on Scopus Index Erika Ramadhani; Dedy Hariyadi
JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Vol 4 No 3 (2023)
Publisher : SOTVI - Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/jitsi.4.3.187

Abstract

Forensics of digital data are concerned with identifying, acquiring, processing, analysing, and reporting on electronic data. Multimedia forensics focuses on investigating computer crimes using forensic methods. The analysis of multimedia evidence is the role of multimedia forensics, on the other hand. In the analysis, digital evidence is evaluated scientifically to maintain its integrity, to find its source, and to authenticate it. There are several methods in multimedia forensics, such as the implementation of deep learning. The purpose of this research is to conduct bibliometric analysis in multimedia forensics and deep learning by using the data gathered from Scopus index on the keyword “multimedia forensics and deep learning”. The result is 68 relevant papers were found in the range of 2017-2022. The results of this research can be used by researchers as a reference when conducting research and determining the research themes to be pursued.
Pengembangan Sistem Pemantauan dan Deteksi Serangan pada Ekosistem Rumah Cerdas Hariyadi, Dedy; Setiawan, Chanief Budi; Setiyadi, Barep
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 2 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i2.5861

Abstract

It is predicted that the growth of smart devices installed in the smart home ecosystem will increase in the future. Smart devices that are connected to each other using wired or wireless networks that have the potential for security holes are attacked by threat actors. Whereas a house is a place that provides comfort for its residents. An attack on the smart home ecosystem allows the operation of the smart home ecosystem to be disrupted or personal information stolen to be used by irresponsible parties. To face the high wave of smart home implementation in the future with potential security holes that always accompany it. This is in accordance with the principle that no system is 100% secure. In this study, attacks on wireless networks can be detected as anomalous traffic. Monitoring and detection in the smart home ecosystem involves supporting components such as sensors, access points, gateway collectors and analysis stacks.
Model Inspeksi Keamanan Jaringan Nirkabel Dengan Teknik Wardrving Berbasis ChatBot Purweni, Mei; Hariyadi, Dedy; Nastiti, Faulinda Ely; Fazlurrahman, Fazlurrahman
Jurnal Komtika (Komputasi dan Informatika) Vol 6 No 2 (2022)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v6i2.7943

Abstract

Penggunaan perangkat jaringan nirkabel seperti Access Point perlu dianalisis untuk menghindari serangan intersep ataupun bypass oleh pelaku kejahatan. Kegiatan inspeksi keamanan jaringan nirkabel dalam inspeksi/operasi intelligen harus dilakukan secara rahasia, akurat dan cepat. Penelitian ini mengusulkan pengembangan aplikasi pengumpulan informasi dan pemetaan perangkat jaringan access point dalam operasi intelijen oleh petugas lapangan sebagai bahan rujukan dalam penyajian laporan saat proses penyidikan. Pengumpulan informasi pada penelitian ini dilakukan dengan pendekatan Signal Intelligence yang telah diselaraskan dengan model Signal Intelligence dan Intelligence Collection System. Penelitian ini telah menggunakan kedua cabang tersebut dikolaborasikan dengan komunikasi chatbot untuk mempermudah proses analisis petugas lapangan yang disertai dengan aktivitas menyaru data jaringan di tengah-tengah masyarakat.
Analisis dan Penanganan Insiden Siber SQL Injection Menggunakan Kerangka NIST SP 800-61R2 dan Algoritma Klusterisasi K-Means Asnawi, Choerun; Hariyadi, Dedy; Aesyi, Ulfi Saidata; Cahyo, Puji Winar
Jurnal Komtika (Komputasi dan Informatika) Vol 7 No 2 (2023)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v7i2.10527

Abstract

Based on the OWASP Top Ten document in 2021, attacks or vulnerabilities in an application in the form of injection still rank in the top 3. SQL Injection attacks are still classified as injection vulnerabilities so they need special attention from Information & Communication Technology Managers. Badan Siber dan Sandi Negara (BSSN) has published a document related to preventing SQL Injection attacks. However, the document has not included a cyber attack analysis process that uses the K-Means clustering approach. So in this research, a collaborative method of handling cyber attacks in the form of SQL Injection is proposed using the NIST SP 800-61R2 framework as a fundamental for handling cyber attacks and K-Means clustering. Before analyzing cyber attacks, it is better to use a framework or standardization that applies globally. Based on the research conducted, the K-Means clustering algorithm can help cybersecurity analysts in the process of analyzing cyber attacks that occur. The result of this research is that the optimal value is obtained that cyber attacks in the form of SQL Injection, namely 3 clusters. The hope of the research can facilitate cybersecurity analysts in analyzing cyber attacks that are poured into reports to parties in need
Digital Forensic Analysis of Hybrid Scooter Motors using Smart Flow and Integrated Digital Forensics Standard Saputri, Yerly Ania; Fazal, Ahmad; Ningrat, Aditya Wahyu; Hariyadi, Dedy
Compiler Vol 14, No 2 (2025): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v14i2.3211

Abstract

This research addresses the challenges of digital forensics for connected hybrid vehicles, focusing on the Yamaha Fazzio hybrid scooter. The study highlights how limited collection methods and mobile device encryption often compromise the integrity of electronic evidence. To address these issues, a five-stage framework was developed, combining guidelines from NIST SP 800-101 Rev.1 and ISO/IEC 27037:2012. This comprehensive framework includes data collection, evidence identification, forensic acquisition, examination and analysis, and final reporting. The framework's effectiveness is boosted by Smart Flow automation on Cellebrite UFED devices, which automates the identification of Android devices, extraction of Y-Connect App databases, GPS logs in JSON, and travel route thumbnails. This automation significantly enhances the efficiency of the acquisition and analysis processes while maintaining evidence integrity. Evaluations showed successful data acquisition from a Xiaomi Mi 5s Plus with the Y-Connect App. Details from the riding_log table were extracted, providing information on travel routes, distance, average and maximum speeds, and estimated fuel consumption during a Yogyakarta - Klaten travel test scenario. These results are crucial for developing digital forensics SOPs for other connected hybrid vehicles in future research.
Bridging hybrid deep learning detection and lightweight handcrafted features for robust single sample face recognition Faulinda Ely Nastiti; Sopingi Sopingi; Dedy Hariyadi; Sri Sumarlinda
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 15, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v15.i1.pp888-900

Abstract

Single sample face recognition (SSFR) remains a challenging task due to the limitation of having only one reference image per identity, which reduces embedding diversity and decreases robustness under variations of pose, expression, and illumination. This study proposed a hybrid framework that integrates deep learning-based detection through anchor box optimization and non-maximum suppression (NMS) with lightweight handcrafted feature extraction using local binary pattern (LBP). The detection stage leverages deep learning to ensure robust face localisation, while LBP maintains computational efficiency under limited-sample conditions. The training process showed accuracy improvement from 47.5% at the initial epoch to 98.0% at epoch 72, while testing accuracy stabilized at 85-88% with the best value of 87.9%. Evaluation on 48 new facial images achieved 89.6% accuracy, 95.3% precision, 91.1% recall, 93.1% F1-score, and 0.94 area under the receiver operating characteristic curve (AUC ROC). Real-world implementation on Android and iOS-based attendance applications further validated the model, reaching 88.46% accuracy across 52 tests under 50-400 lux illumination. The findings proved that the proposed hybrid design provides improved accuracy and stability compared with previous approaches.
Transformasi Tema Penelitian Construction and Demolition Waste Berbasis Analisis Bibliometrika Evy Kusumaningrum; Nurul Muyasaroh; Dedy Hariyadi
Environmental Insight Journal Vol 2 No 2 (2026): July
Publisher : Postgraduate Faculty, Yogyakarta Institut of Technology, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37412/eij.v2i2.437

Abstract

Construction and demolition waste (CDW) is a major contributor to global solid waste generation, increasing alongside rapid construction activities and building demolition cycles. Although scholarly publications on CDW have grown substantially, the long-term evolution of research themes, knowledge structure, and geographical contributions has not been systematically examined. This limitation constrains the identification of dominant research directions and emerging gaps relevant to sustainable construction practicesThis study aims to analyze the historical development, thematic structure, and research trends of CDW using a bibliometric approach. Data were collected from the Scopus database through a systematic search of titles, abstracts, and keywords, covering publications from 1980 to 2025. A total of 463 journal articles were selected for analysis. Descriptive bibliometric techniques were applied to examine publication growth and country contributions, while keyword co-occurrence and network analyses were conducted using VOSviewer and Bibliometrix to identify thematic clusters and topic evolution. The results indicate a significant increase in CDW research since 2017, with China emerging as the leading contributor, followed by Brazil, India, Spain, and Australia. Thematic mapping identifies three dominant clusters: technological approaches to CDW processing and recycling, material and environmental performance studies emphasizing recycled materials and life cycle assessment, and systemic research framing CDW within circular economy and sustainable development contexts. Trend analysis reveals a shift from conventional waste management toward resource optimization and sustainable construction integration. These findings provide a quantitative basis for future CDW research directions in civil engineering and construction management.
MEMBANGUN TELEGRAMBOT UNTUK CRAWLING MALWARE OSINT MENGGUNAKAN RASPBERRY PI Dedy Hariyadi; Fazlurrahman Fazlurrahman
Indonesian Journal of Business Intelligence (IJUBI) Vol 2 No 1 (2019): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v2i1.996

Abstract

Data serangan siber yang dirilis oleh Badan Siber dan Sandi Negara (BSSN) bersama Indonesia Honeynet Project (IHP) menunjukan bahwa terdapat serangan siber yang berasal dari Indonesia atau dalam negeri. Sumber informasi serangan siber yang dikategorikan sebagai Open Source Intelligent (OSINT) tersedia di Internet dengan berbagai format. Bahkan informasinya tersebar tergantung dari pihak penyedia. Pada penelitian ini diusulkan mengumpulkan berbagai serangan siber berbasis OSINT dengan metode crawling yang diakses melalui Instant Messenger. Telegram merupakan Instant Messenger yang telah menyediakan fitur otomatisasi menggunakan Robot. Aplikasi Robot ini tidak memerlukan baris kode yang banyak sehingga mudah dipasang pada Single Board Computer (SBC). Dengan bentuk Single Board Computer yang kecil memudahkan pemasangan dimana saja asalkan memiliki akses internet untuk memproses informasi. Melalui Instant Messenger Telegram mempermudah mengakses serangan siber berbasis OSINT tersebut dengan menggabungkan metode crawling dan TelegramBot.
PEMANTAUAN SISTEM KUALITAS UDARA MENGGUNAKAN OPENHAB Bambang Nakulo; Indah Daila Sari; Dedy Hariyadi
Indonesian Journal of Business Intelligence (IJUBI) Vol 3 No 1 (2020): Indonesian Journal of Business Intelligence (IJUBI)
Publisher : Universitas Alma Ata

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21927/ijubi.v3i1.1203

Abstract

Pencemaran udara bukan masalah sederhana, banyak dampak buruk yang timbul karena perubahan kualitas udara baik pada kesehatan manusia dan makhluk hidup lainnya. Oleh karena itu sistem pemantauan kualitas udara perlu dilakukan untuk membantu orang mengetahui kualitas udara di sekitar mereka. Pengendalian kualitas udara telah diatur dalam Peraturan Pemerintah Nomor 41 Tahun 1999 tentang pengendalian pencemaran udara, sebagai tolak ukur kualitas udara berdasarkan pengukuran kadar SO2, No2, SPM, pH, Ozon, Gas Rumah Kaca, PM10, PM2.5 di udara. Sistem pemantauan kualitas udara sangat diperlukan terlebih sistem berbasis internet. Didalam penelitian ini telah dibuat sistem pemantauan kualitas udara menggunakan platform OpenHAB yang memanfaatkan sumber data dari open sensor. Penelitian ini sebagai wujud usulan sebuah sistem yang dapat menampilkan derajat kualitas udara di berbagai kota di Indonesia.
Pengembangan Sistem Informasi Geografi Untuk Pemantauan Jaringan Irigasi Menggunakan LeafletJS Sumarsono Sumarsono; Choerun Asnawi; Evy Kusumaningrum; Dedy Hariyadi
Jurnal Kajian Ilmiah Vol. 23 No. 1 (2023): January 2023
Publisher : Lembaga Penelitian, Pengabdian Kepada Masyarakat dan Publikasi (LPPMP)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31599/et38bn80

Abstract

The distribution or flow of water in irrigation networks that are not good can have an impact on air demand on agricultural land. This is due to the air volume that is not optimal due to damage to the irrigation network. Each irrigation network has a level of disturbance which is measured by the level of damage to the irrigation network based on the channel and building arrangement. Efforts to anticipate the level of damage to the wider irrigation network that can harm farmers, it is necessary to have a system that makes it easier for air interpreters to provide reports. Based on the report, the water interpreter will be followed up and processed by the team regarding more handling. In the ease of reporting, water interpreters need a location-based reporting system. Therefore, the right approach in reporting damage to irrigation networks is using a geographic information system. With the development of internet communication, geographic information systems have been developed that can be implemented on smartphones with the Android operating system.
Co-Authors Abdul Rohman Supriyono Adkhan Sholeh Adri Priadana Ahmad Luthfi Akas Wisnuaji Akas Wisnuaji Akas Wisnuaji Alfirst Radena Julio Vanca Alfun Roehatul Jannah Anas Sufi Hasan Arief Ikhwan Wicakasono Arief Ikhwan Wicaksono Arif Akbarul Huda Asnawi, Choerun Azzam Syawqi Aziz Bambang Nakulo Barep Setiyadi Burhan Alfironi Muktamar Chanief Budi Setiawan Choerun Asnawi Daila Sari, Indah Dewi , Grita Supriyanto Dia Putera Idiana Kusuma Dondy Bappedyanto Eka Tresna Irawan Evy Kusumaningrum FAULINDA ELY NASTITI Fazal, Ahmad Fazlurrahman Bima Fazlurrahman Fazlurrahman Fazlurrahman Hadi, Muhammad Finansia, Cici Grinaldy Yafi’ Rasyad Grita Supriyanto Dewi Helmi Danang Pamungkas Hendro Wijayanto Hendro Wijayanto Heru Bagus Hermawan Ibnu Abdul Rosid Ike Yunia Pasa Imam Ahmad Subhan Imam Puji Santoso Indah Daila Sari Indah Daila Sari Irmma Dwijayanti Kharisma Kurniawan, Hendarto Kusumaningtyas, Kartikadyota Kusumaningtyas, Netania Indi Lahitani, Alfirna Rizqi M. Roykhul Jinan M. Wahyu Indriyanto Mandahadi Kusuma, Mandahadi Mardhani Riasetiawan Ma’rifat Ma’rifat Mei Purweni Muhammad Agung Nugroho Muhammad Habibi Muhammad, Abdul Haris Muttaqin, Filda Fikri Faizal Muyasaroh, Nurul Nakulo, Bambang Nasution, Annio Indah Lestari Nindya Dwi Anggana Ningrat, Aditya Wahyu Nur Hikmatul Maulida Nur Seto Bayuaji Puji Winar Cahyo Purweni, Mei Rama Sahtyawan Ramadhana Saputra Ramadhani, Erika Rizdqi Akbar Ramadhan Saputri, Yerly Ania Sari, Indah Daila Setiyadi, Barep Sopingi SRI SUMARLINDA Subektiningsih Subektiningsih Sumarsono Sumarsono Sumarsono Sumarsono Tri Febrianto Tri Febrianto Ulfi Saidata Aesyi Wing Wahyu Winarno