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All Journal IAES International Journal of Robotics and Automation (IJRA) Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Informatika dan Teknik Elektro Terapan JOIN (Jurnal Online Informatika) JOIV : International Journal on Informatics Visualization Sinkron : Jurnal dan Penelitian Teknik Informatika Computatio : Journal of Computer Science and Information Systems JRSI (Jurnal Rekayasa Sistem dan Industri) JUMANJI (Jurnal Masyarakat Informatika Unjani) IJAIT (International Journal of Applied Information Technology) Generation Journal Journal of Energy and Electrical Engineering (JEEE) Innovation in Research of Informatics (INNOVATICS) Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Pengabdian Siliwangi JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Nur Widiyasono, Nur
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Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Mathematics Mechanical Engineering Social Sciences Transportation Other

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Analisis Malware Ahmyth pada Platform Android Menggunakan Metode Reverse Engineering Widiyasono, Nur; Mubarok, Husni; Fatwa MF, Agung
Generation Journal Vol 6 No 2 (2022): Generation Journal
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/gj.v6i2.17749

Abstract

Android is the most widely used operating system in the world with a percentage of 74.82% in the Android operating system market share. This fact makes malicious software (malware) developers make mobile phone users with the Android operating system the main target for malware attacks. Attackers can change the application code by entering malicious code, repackaging the application, and publishing the application on the android application market. This study aims to find out how the malware that has been inserted into the android application works by using dynamic analysis and extracting the dangerous licenses used by the ahmyth malware by using reverse engineering techniques. The results of the analysis show that the ahmyth malware will run its service after the device restarts and waits for commands from the C&C server to perform certain actions on the infected device.
Data Integrity Testing of Digital Evidence Data Capture Results on Private Cloud Computing Services Komarudin, Arif Maulana; Widiyasono, Nur; Aldya, Aldy Putra; Rizal, Randi
Innovation in Research of Informatics (Innovatics) Vol 5, No 2 (2023): September 2023
Publisher : Department of Informatics, Siliwangi University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/innovatics.v5i2.8420

Abstract

Private Cloud has better advantages than other cloud services because private cloud is managed and run by the company itself so that cloud needs can be tailored to the company's needs, but allows abuse from within the company itself, as in the case study simulation of a Gojek startup company. This case occurred because of a security weakness in the system so that internal people took advantage of these weaknesses for their own benefit by leaking confidential data, acquisitions were carried out to prove and find evidence of crime, acquisitions used live acquisition techniques, namely acquisitions on an ongoing system, namely monitoring network traffic using Wireshark tools , the method in this case uses the Digital Forensics Investigating Framework (DFIF), data integrity must be properly maintained when acquiring digital evidence because to maintain the authenticity of the digital evidence obtained, then data integrity is tested on the digital evidence obtained, testing is carried out on digital evidence before and after the acquisition to see if there is a change in data integrity, the research results show that there is no change in data integrity.
File Signature Analyzer 2.0 : Identifikasi Ekstensi File Berdasarkan Metadata Darmawan, Fakhrul Rifqi; Widiyasono, Nur; Mubarok, Husni
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 8 No. 1 (2024): PROSIDING SEMINAR NASIONAL INOVASI TEKNOLOGI TAHUN 2024
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v8i1.4963

Abstract

Kejahatan perangkat digital seperti kebocoran informasi, penggelapan uang di bank dan penipuan kartu kredit yang memanfaatkan metode modifikasi file untuk melakukan aksinya bisa berdampak buruk hingga merugikan beberapa pihak. Signature file atau angka ajaib adalah salah satu teknik ilmu forensik yang membantu proses identifikasi tipe file. Proses identifikasi file terbagi menjadi dua yaitu identifikasi file berdasarkan ekstensi dan identifikasi file berdasarkan signature file atau angka ajaib. Penelitian ini menyajikan File Signature Analyzer 2.0 sebagai pendekatan baru berbasis website dengan akurasi tinggi untuk identifikasi ekstensi file otomatis dengan menggunakan metode perulangan. Pengujian aplikasi dilakukan dengan menggunakan dua metode modifikasi yaitu mengubah ekstensi secara acak dan menghilangkan ekstensi dan hasilnya file orisinal terdeteksi benar (98%) dan Terdeteksi salah (2%), file modifikasi terdeteksi bisa dikembalikan (95%) dan terdeteksi, tidak bisa dikembalikan (5%).
Agricultural path detection systems using Canny-edge detection and Hough transform Sasmita, Windi Antania; Mubarok, Husni; Widiyasono, Nur
IAES International Journal of Robotics and Automation (IJRA) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijra.v13i3.pp247-254

Abstract

Navigation is one of the crucial aspects of automation technology within the field of agriculture, such as robotics systems or autonomous agricultural vehicles. Despite many navigation systems having been developed for agricultural land, due to their high development and component costs, these systems are difficult to access for farmers or organizations with limited capital. In this study, the Canny-edge detection and Hough transform methods are implemented in a path detection system on agricultural land to find an alternative, cost-effective navigation system for autonomous farming robots or vehicles. The system is tested on ground-level view images, which are captured from a low perspective and under three different lighting conditions. The testing and experimentation process involves adjusting the parameters of the Canny-edge detection and Hough transform methods for different lighting conditions. Subsequently, an evaluation is conducted using Intersection over Union to obtain the best accuracy results, followed by fine-tuning of the canny-edge detection and Hough transform method parameters. The identified parameters, specifically a 15×15 Gaussian kernel, low threshold of 50, high threshold of 150, Hough threshold, minimum line length of 150, and maximum line gap, have been discerned as optimal for the canny-edge and Hough transform algorithms under medium lighting conditions (G=1.0). The observed efficacy of these parameter configurations suggests the method’s viability for implementation in path detection systems for agricultural vehicles or robots. This underscores its potential to deliver reliable performance and navigate seamlessly across diverse lighting scenarios within the agricultural context.
PENINGKATAN TATAKELOLA BUDIDAYA IKAN DENGAN PENERAPAN SISTEM SMART FISHERY Rianto, Rianto; Aradea, Aradea; Mubarok, Husni; Widiyasono, Nur
Jurnal Pengabdian Siliwangi Vol 10, No 1 (2024)
Publisher : LPPM Univeristas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jsppm.v10i1.9027

Abstract

Maju mundurnya suatu perusahaan atau organisasi salah satunya sangat bergantung kepada manajemen dari perusahaan atau organisasi itu sendiri. Manajemen atau pengelolaan dapat dimaknai sebagai pengelolaan sumber daya yang dimiliki yang digunakan sepenuhnya secara efektif untuk kemajuan perusahaan atau organisasi. Manajemen atau pengelolaan ini memiliki lima (5) unsur penting, yaitu 1) man, 2) money, 3) material, 4) machine, 5) method, dan 6) market. Pentingnya pengelolaan yang baik ini, bukan hanya untuk perusahaan atau organisasi yang besar, melainkan juga penting untuk skala usaha mikro, kecil dan menengah (UMKM), termasuk didalamnya UMKM yang bergerak dalam bidang perikanan seperti Karang Taruna Ikhlas Bakti Desa Mangunreja. Salah satu permasalahan yang dihadapi oleh Karang Taruna Ikhlas Bakti Desa Mangunreja adalah unsur machine dalam arti belum memanfaatkan secara maksimal teknologi pendukung untuk kegiatan operasional, khususnya penggunaan piranti lunak atau software pendukung pengelolaan usaha. Oleh karena itu, fokus utama pada pengabdian ini adalah untuk menerapkan alat dan piranti lunak Smart Fishery untuk mendukung kegiatan operasional di Karang Taruna Ikhlas Bakti Desa Mangunreja. Luaran yang menjadi target capaian program ini yaitu dimuat dalam Jurnal Nasional ber-ISSN, dimuat pada artikel media cetak/elektronik dan adanya video dokumentasi kegiatan yang dimuat pada media online dengan indikator capaian berupa pemahaman manajemen usaha dengan memaksimalkan penerapan IT berupa piranti lunak Smart Fishery.
OPTIMASI DETEKSI MALWARE PADA SIEM WAZUH MELALUI INTEGRASI CYBER THREAT INTELLIGENCE DENGAN MISP DAN DFIR-IRIS Hidayat, Muhamad Ropi Taofiq; Widiyasono, Nur; Gunawan, Rohmat
Jurnal Informatika dan Teknik Elektro Terapan Vol 13, No 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5686

Abstract

Ancaman siber terus meningkat seiring kemajuan teknologi informasi, dengan malware sebagai salah satu bentuk ancaman utama yang mengeksploitasi celah keamanan. Security Information and Event Management (SIEM) seperti WAZUH menjadi solusi efektif untuk mendeteksi dan merespons ancaman siber. Namun, performa deteksi malware oleh WAZUH standalone masih terbatas, dengan akurasi rendah (19,70%) dan recall rendah (16,26%). Penelitian ini bertujuan mengoptimalkan deteksi malware melalui integrasi WAZUH dengan Cyber Threat Intelligence (CTI) menggunakan Malware Information Sharing Platform (MISP) dan DFIR-IRIS. Hasil penelitian menunjukkan bahwa integrasi MISP meningkatkan presisi deteksi ancaman (96,3%), meskipun recall (62,9%) dan akurasi (63,1%) masih menunjukkan adanya ancaman yang terlewat. Penambahan DFIR-IRIS memungkinkan respons insiden secara real-time, meningkatkan efisiensi mitigasi. Kombinasi MISP dan DFIR-IRIS memperkuat kemampuan deteksi dan respons SIEM secara signifikan, memberikan solusi yang lebih efektif dan menyeluruh dalam menghadapi ancaman siber.
Artificial Intelligence (AI) for Classification of Cyber Attacks on Internet of Things (IoT) Network Traffic Rizal, Randi; Widiyasono, Nur; Yuliyanti, Siti
JUMANJI (Jurnal Masyarakat Informatika Unjani) Vol 7 No 2 (2023): Jurnal Masyarakat Informatika Unjani
Publisher : Jurusan Informatika Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jumanji.v7i2.325

Abstract

Internet of Things (IoT) is an architecture that connects large numbers of smart devices in today's modern global network system. Distributed denial of services (DDoS) attacks are one of the most common types of cyber attacks, targeting servers or networks with the aim of disrupting their normal activities. Although real-time detection and mitigation of DDoS attacks is difficult to achieve, the solution would be invaluable as attacks can cause significant damage. This research utilizes artificial intelligence (AI) to classify attacks on Internet of Things (IoT) network traffic. The resulting classification of DDOS attacks from all types of attacks, namely SYN, ACK, UDP, and UDPplain. The application of a deep learning model with the Convolutional Neural Network (CNN) algorithm is used to classify normal traffic from DDoS cyber attacks. The CNN algorithm performs very well in the classification process with an accuracy of 99%. Next, we plan to build a new model to block or mitigate DDoS attacks based on the output of the CNN classification algorithm used in this research.
Implementation of Image Enhancement Algorithm for Image Forensics using Mathlab Suteja, Fauzan Novaldi; Hidayat, Eka Wahyu; Widiyasono, Nur
JOIN (Jurnal Online Informatika) Vol 4 No 2 (2019)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v4i2.314

Abstract

The purpose of this journal is to explain the implementation of the image enhancement algorithm for image forensics. Image Forensic deals with the types of digital evidence in the form of digital image files. One of the most commonly used digital devices in providing digital evidence for forensic analysis is CCTV (Closed-Circuit Television). CCTV images have a low quality such as noise, blur, lack of light intensity, etc., so that the image must be enhanced so that forensic analysis can be done. To enhance image quality, an application is needed by applying the image enhancement algorithm. The algorithm applied to the application is a Low Pass Filter to increase low pixel intensity, High Pass Filter to increase high pixel intensity, Median Filter to replaces the original pixel value with the pixel center value of the image, Mean Filter to replaces the original pixel value with a value the average pixel of the image, the Gaussian Filter for reducing noise in the image, the Wiener Filter to reduce blur in the image, the Histogram Equalization spreads the image histogram value, Contrast Stretching to stretch the contrast intensity in the image and Bicubic Interpolation to increase the image size and resize the image. In this study, the application was built using MATLAB and the testing process for each algorithm was based on Timing-Run, MSE and PSNR parameters. From the test, the average MSE value is 1058.512083 and the PSNR value is 541.61875 dB, which means that the resulting image has a fairly high level of similarity and the average time needed to process the algorithm for the image is 0.114627915 seconds.
PEMANFAATAN FOTO UDARA DALAM MELAKUKAN PEMETAAN WILAYAH UNTUK MENDUKUNG PERENCANAAN PENGEMBANGAN POTENSI DESA GUNUNGSARI KECAMATAN CIKATOMAS Anshary, Muhammad Adi Khairul; Widiyasono, Nur
Jurnal Pengabdian Siliwangi Vol 6, No 1 (2020)
Publisher : LPPM Univeristas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jsppm.v6i1.1249

Abstract

Undang-undang Nomor 6 Tahun 2014 tentang Desa, mengamanatkan bagi setiap desa untuk membuat Peta batas wilayah Desa. Selain berfungsi sebagai alat penunjuk batas-batas wilayah desa, peta desa ini juga harus dapat menampilkan data dan informasi yang ada di Desa tersebut. Peta desa harus dapat menyajikan potensi sumber daya alam dan sumber daya manusia yang dimiliki oleh desa. Dengan dimilikinya pemetaan desa yang lengkap, tidak hanya berisikan batas-batas wilayah saja, maka desa dapat menyelenggarakan pemerintahan yang efektif, meningkatkan kesejahteraan masyarakat desa dan peningkatan kualitas pelayanan publik. Namun masih banyak desa yang belum memiliki peta desa yang berisikan data lengkap. Desa Gunungsari terletak di Kecamatan Cikatomas Kabupaten Tasikmalaya, merupakan salah satu desa yang belum memiliki pemetaan desa yang berisikan data lengkap. Pemetaan ini sangat diperlukan oleh desa untuk dapat meningkatkan pelayanan dan kemajuan. Kegiatan pengabdian masyarakat ini akan membantu melakukan pemetaan desa dengan memanfaatkan foto udara untuk mendapatkan data dan informasi lebih lengkap. Selain itu, foto udara memberikan sudut pandang berbeda terhadap topografi desa karena dilihat dari atas. Diharapkan dengan pelaksanaan kegiatan pengabdian kepada masyarakat ini, Desa Gunungsari akan memiliki sebuah Pemetaan Desa yang berisikan informasi tentang potensi desa dilihat dari pengambilan foto udara.
OPTIMASI DETEKSI MALWARE PADA SIEM WAZUH MELALUI INTEGRASI CYBER THREAT INTELLIGENCE DENGAN MISP DAN DFIR-IRIS Hidayat, Muhamad Ropi Taofiq; Widiyasono, Nur; Gunawan, Rohmat
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 1 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i1.5686

Abstract

Ancaman siber terus meningkat seiring kemajuan teknologi informasi, dengan malware sebagai salah satu bentuk ancaman utama yang mengeksploitasi celah keamanan. Security Information and Event Management (SIEM) seperti WAZUH menjadi solusi efektif untuk mendeteksi dan merespons ancaman siber. Namun, performa deteksi malware oleh WAZUH standalone masih terbatas, dengan akurasi rendah (19,70%) dan recall rendah (16,26%). Penelitian ini bertujuan mengoptimalkan deteksi malware melalui integrasi WAZUH dengan Cyber Threat Intelligence (CTI) menggunakan Malware Information Sharing Platform (MISP) dan DFIR-IRIS. Hasil penelitian menunjukkan bahwa integrasi MISP meningkatkan presisi deteksi ancaman (96,3%), meskipun recall (62,9%) dan akurasi (63,1%) masih menunjukkan adanya ancaman yang terlewat. Penambahan DFIR-IRIS memungkinkan respons insiden secara real-time, meningkatkan efisiensi mitigasi. Kombinasi MISP dan DFIR-IRIS memperkuat kemampuan deteksi dan respons SIEM secara signifikan, memberikan solusi yang lebih efektif dan menyeluruh dalam menghadapi ancaman siber.
Co-Authors Adam, Muhamad Arsad Adhy, Dewanto Rosian Aditya, Hafish Naufal Ahmad Luthfi Akbar, Reza El Alam Rahmatulloh Aldya, Aldy Putra Aldya, Aldy Putra Anshary, Muhammad Adi Khairul Aradea Asyaky, Muhammad Sidik Bahtiar, Fikri Bahtiar, Fikri Budi Tjahjono Darmawan, Fakhrul Rifqi Dita Pramesti Edvin Priatna Faiz, Muhammad Fatwa MF, Agung Gunawan, Rohmat Hidayat, Eka Wahyu Hidayat, Muhamad Ropi Taofiq Husni Mubarok Imam Riadi Irfan Darmawan Irfan Febrian Editia Kurdiat, Irfan Febrian Komarudin, Arif Maulana Lapandu, Raihan Azhar Muhammad Ramadhan, Galih Nizirwan Anwar Nusamsi, Dede Rizal Rianto Rianto Rizal, Randi Rudi Hermawan Saputra, Agung Purnama Sasmita, Windi Antania Septiani, Devi Rizky Setia, Tesa Pajar Sidik Madiyanto, Sidik Siti Yuliyanti, Siti Sudiarjo, Aso Sulastri, Heni Suryana, Andri Lesmana Suteja, Fauzan Novaldi Sutisna Sutisna Sutrisman, Iwan Tarigan, Masmur Taufiqurrohman, Ilham