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All Journal snimed Jurnal Teknoin Jurnal Teknik Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi JOIN (Jurnal Online Informatika) Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI IJISTECH (International Journal Of Information System & Technology) Technologia: Jurnal Ilmiah Journal of Appropriate Technology for Community Services Cyber Security dan Forensik Digital (CSFD) JATI (Jurnal Mahasiswa Teknik Informatika) MDJ (Makassar Dental Journal) JIIP (Jurnal Ilmiah Ilmu Pendidikan) Jurnal Sistem Komputer dan Informatika (JSON) Automata JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Journal of Computer Networks, Architecture and High Performance Computing IJISTECH International Journal of Computer and Information System (IJCIS) Journal of Technology and Informatics (JoTI) JITSI : Jurnal Ilmiah Teknologi Sistem Informasi Journal of Social Science IJoICT (International Journal on Information and Communication Technology)
Ramadhani, Erika
Universitas Islam Indonesia
Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Education Electrical & Electronics Engineering Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Forensic Web Analysis on The Latest Version of Whatsapp Browser Utomo, Dicky Satrio Ikhsan; Prayudi , Yudi; Ramadhani, Erika
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2286

Abstract

With the rapid growth of technology and the increasing number of smartphone users, social media applications have proliferated. Among them, WhatsApp has emerged as the most widely used application, with over a quarter of the world's population using it since 2009. To meet the increasing customer demands, WhatsApp has introduced a browser version, which has undergone continuous updates and improvements. The latest version of WhatsApp exhibits significant differences in features and settings compared to its predecessors, particularly in conversations, images, video recordings, and other aspects. Consequently, this research focuses on analyzing artifacts that can aid in forensic investigations. The study aims to extract artifacts related to conversation sessions, as well as media data such as audio files, contact numbers, photos, videos, and more. To achieve these objectives, various forensic tools will be employed to assist in the artifact search within the WhatsApp browser. The research adopts the NIST framework and utilizes forensic techniques like Autopsy and FTK Imager to read encrypted backup database files. These files contain valuable information such as deleted conversations, phone logs, photos, videos, and other data of interest. Analyzing the artifacts from the WhatsApp browser version contributes to forensic activities, providing valuable insights into the evidence that can be obtained from conversations and media files. By leveraging forensic tools and techniques, forensic practitioners can effectively retrieve and analyze data from the encrypted backup database files. In summary, this research explores the artifacts within the WhatsApp browser version, sheds light on its distinct features, and presents a forensic approach utilizing the NIST framework and forensic tools like Autopsy and FTK Imager to examine encrypted backup database files containing crucial deleted data, conversations, and media files.
Potential of marine algae polysaccharides as bioactive agents in dental polymers: Potensi polisakarida alga laut sebagai agen bioaktif dalam polimer kedokteran gigi Ramadhani, Erika; Damayanti, Yusnita; Zakiyah, Shohwah; Indriani, Lenni
Makassar Dental Journal Vol. 14 No. 3 (2025): Volume 14 Issue 3 December 2025
Publisher : Makassar Dental Journal PDGI Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35856/mdj.v14i3.1337

Abstract

The use of natural biomaterials in dentistry has grown significantly in recent decades due to increasing demand for bioactive, bio-compatible, and environmentally friendly materials. Marine algae-derived polysaccharides—such as alginate, fucoidan, carra-geenan, ulvan, and agarose—have emerged as promising candidates due to their antibacterial, anti-inflammatory, antioxidant, and bioadhesive properties. This article reviews the potential of algal polysaccharides as foundational materials for bioactive po-lymers in dentistry. Their applications include regenerative scaffolds, local drug delivery systems, root canal filling materials, and membrane guided tissue regeneration. Studies show these polysaccharides are safe, biocompatible, and support tissue rege-neration and therapeutic outcomes in oral care. However, further in vivo and clinical research, along with standardized methods for extraction and chemical modification, are necessary to ensure consistent quality and clinical effectiveness.
Enhancing Digital Forensics with Cyber Kill Chain and 5W1H: A Case Study on Phishing Attacks Erika Ramadhani; Toto Raharjo
IJoICT (International Journal on Information and Communication Technology) Vol. 11 No. 1 (2025): Vol. 11 No. 1 Jun 2025
Publisher : School of Computing, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21108/ijoict.v11i1.8966

Abstract

This research has combined the Cyber Kill Chain (CKC) model and the 5W1 H for detection and control of cybercrime such as phishing for the automation of digital forensic investigation. The most vital challenge in digital forensics is its evidence handling complexity, the lack of a standard because of diversified kinds of tools, and the non-availability of automated tools that systematically present information. Therefore, it provides a web-based framework to automate the investigation by referring to the attack stages of the CKC and identifies the contextual allegories of the incident like who, what, when, where, why, and how through the rule of 5W1H. It includes the problem identification method, collecting and classifying the digital artifacts according to CKC stages, in-depth analysis with the 5W1H framework, and visualization of investigation results for further understanding. A case study of a phishing attack on the Kredivo application was used to evaluate the effectiveness of this approach, where the CKC stages from reconnaissance to actions on objectives were implemented to analyze artifacts such as activity logs and phishing data. The results show that the integration of CKC and 5W1H improves analysis accuracy, generates comprehensive visualizations of artifacts, and strengthens response to attacks. It is expected that this finding would mean a highly significant change in the productivity of forensic investigations by making it easier for analysts and preparing proper documentation education for the court.
Implementasi Metode Lean Startup dalam Pengembangan Ide Bisnis Aplikasi Golek Kost Berbasis Mobile Kafita Wardhahani; Erika Ramadhani
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 4 (2022): Juni 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4261

Abstract

The need for housing (boarding houses) for students is a basic need and becomes a significant consideration when deciding to study in a particular city. So far, students have obtained information related to boarding houses manually to meet the needs associated with the necessary furniture and in carrying out the moving process. With everything still manual, it takes longer and is more difficult to find a boarding house that fits the student’s needs. To help solve existing problems, a mobile-based application called GOLEK KOST was made. The application is a form of digital innovation to make it easier for students to obtain information related to boarding houses, including prices, locations and boarding facilities, buying, and selling furniture, transportation services, or moving services in the Yogyakarta area. Developing this application business idea applies the Lean Startup method, which consists of three stages: Market Validation, Product Validation, and Business Validation. This method focuses on developing applications based on feedback obtained from potential users so that later the resulting application will meet the needs of potential users. In the product validation, the results obtained are 37% for the boarding information feature, 33.3% for the transportation service feature, and 29.6% for the furniture sale and purchase quality.
Implementasi Metode Design Sprint dalam Perancangan UI/UX Aplikasi Golek Kost Berbasis Mobile Nur Ifani Khoirunisa; Erika Ramadhani
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 4 (2022): Juni 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4262

Abstract

The city of Yogyakarta is known as the City of Students or the City of Education because of the many educational centers that stand there. This has made students from outside the region interested in studying in Yogyakarta. The large number of students studying in Yogyakarta makes many people in Yogyakarta open boarding and renting businesses which is a necessity for students from outside the region who come to take their education. The difficulty in finding a boarding house or renting a place that fits the needs is the main obstacle faced due to the lack of information received. In the current era, the digitization process has developed rapidly because most people spend their time holding smartphones, so many mobile-based applications can help with all their needs and needs. One of them is a boarding house search application, e-commerce, and delivery services. However, these three service features are not yet in one application. This makes Golek Kost want to create a mobile-based application that consists of these three features, to make it easier for students to search for boarding houses, boarding furniture, and transportation/moving services. The method used in designing the Golek Kost application is the design sprint. In this method there are four stages, namely: understanding (understanding), divergent (developing), decide (decide), prototype (create a prototype), and validate (validation). The final result of this research is the validation of the prototype design from the UI and UX side, after getting feedback from potential users. Making this prototype design will be made using Figma tools.
Implementasi Bcrypt dengan SHA-256 pada Password Pengguna Aplikasi Golek Kost Rynaldy Shulton Giffary; Erika Ramadhani
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 3 No. 4 (2022): Juni 2022
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i4.4285

Abstract

Brute force is the breaking of passwords in the SHA¬-256 algorithm, so that systems using this algorithm are easy to retrieve important data. In addition there is MD5 which can cause collusion. However, there is an algorithm that can withstand brute force attacks, namely bcrypt. Personal data security is a top priority on every system. Brute force is a cyber crime that needs to be watched out for. The purpose of this study is to examine the bcrypt algorithm used as a password in order to be able to survive brute force attacks. Because bcrypt has a cost and a salt value
Simulated Phishing Attack and Forensic Analysis Using the D4I Framework: A Case Study on Kredivo Muhammad Yusuf Halim; Toto Raharjo; Rosi Rahmadi Syahputra; Erika Ramadhani
Journal of Technology and Informatics (JoTI) Vol. 7 No. 2 (2025): Vol. 7 N. 2 (2025)
Publisher : Universitas Dinamika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37802/joti.v7i2.1086

Abstract

Phishing is a form of cyberattack where attackers deceive users into revealing sensitive information such as credentials or financial data, often through fake communication channels or websites. This threat is particularly critical in the financial technology (fintech) sector, where services rely heavily on digital transactions and user trust. This study presents a simulated phishing case targeting Kredivo users to evaluate the effectiveness of the Digital Forensics framework for Reviewing and Investigating cyber-attacks (D4I) in digital forensic analysis. The Cyber Kill Chain (CKC) model was employed to trace attacker behavior across seven phases, from weaponization to actions on objectives. Forensic data was acquired using MOBILedit Forensic Express from two smartphones, namely an iPhone 11 (iOS 15.8.1) and a Vivo Y21 (Android 8.1.0), which served as simulated evidence devices. Using the D4I framework, the investigation successfully identified and correlated key digital artifacts such as phishing links, OTP transmissions, and unauthorized access logs. These findings were organized into a visual chain of artifacts to reconstruct the full attack lifecycle. The results demonstrate that the D4I framework is effective in guiding structured forensic investigations and understanding attack patterns, supporting the enhancement of fintech security strategies.
Studi Literatur Tentang Metode Evaluasi Kekuatan Kata Sandi Adi Prasetyo; Fayruz Rahma; Erika Ramadhani
Technologia : Jurnal Ilmiah Vol 17 No 3 (2026): Technologia (Juli)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/jit.v17i3.24081

Abstract

Kata sandi merupakan mekanisme autentikasi yang paling umum digunakan. Namun, pola kata sandi yang mudah ditebak menimbulkan risiko serangan tebakan dan kebocoran data. Penelitian ini menyajikan Systematic Literature Review (SLR) berbasis protokol PRISMA untuk memetakan algoritme, teknik representasi fitur, dataset, dan kesenjangan penelitian pada domain penilaian kekuatan kata sandi berbasis Machine Learning (ML) dan Deep Learning (DL) rentang 2022–2025. Pencarian pada dua basis data (IEEE Xplore dan ScienceDirect) menghasilkan 112 artikel; setelah skrining dan penilaian kelayakan, 18 artikel diinklusi sebagai studi final. Hasil sintesis menunjukkan pendekatan classifier lebih dominan dibanding meter/scorer, dengan Random Forest sebagai algoritme paling sering digunakan, diikuti Logistic Regression dan Support Vector Machine. Representasi fitur didominasi TF-IDF dan handcrafted features pada studi classifier, serta N-gram/Markov pada studi meter/scorer. Dataset 000webhost mendominasi 12 dari 18 studi. Empat tema kesenjangan utama yang teridentifikasi adalah bias dataset, minimnya evaluasi di dunia nyata, kelemahan lintas bahasa, dan penanganan Personally Identifiable Information (PII). Temuan ini menegaskan perlunya dataset yang lebih representatif, skenario evaluasi yang lebih realistis, dan praktik privasi yang lebih eksplisit.
Analysis of the Effect of Social Media Compression on the Accuracy of Deepfake Detection Using MobileNetV3 and Compressed Data Augmentation Erika Ramadhani; M. Fahrul Ramadhan
International Journal of Computer and Information System (IJCIS) Vol 7, No 3 (2026): IJCIS : Vol 7 - Issue 3 - 2026
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v7i3.279

Abstract

Deepfakes are synthetic audio-visual content that is artificially engineered that is increasingly difficult to distinguish from real content and is mostly circulated through social media platforms. The problem studied in this study is the decline in the accuracy of the deepfake detection model when the test content has gone through a series of social media compression processes, such as H.264 re-encoding and resolution degradation, which removes some of the forensic traces of the pixels that are the basis for detection. The objectives of this study were to measure the magnitude of the decline in detection accuracy in the lightweight architecture of MobileNetV3, to find the compression threshold where the decline began to be significant, and to test the augmentation of compressed data as a mitigation strategy. The method used was a quantitative experiment on the Celeb-DF v2 dataset with three levels of compression (raw, c23, and c40) simulated using FFmpeg; The MobileNetV3-Small model was trained on raw data and then tested at all three levels of compression, then compared to training scenarios using combined data of all three levels of compression. Test results on 5,180 face images of standard test data showed a decrease in accuracy from 70.23% in raw data to 69.54% in c23 and 58.11% in c40, with the sharpest decrease occurring between medium compression and high compression and mainly due to a drop in recall from 89.79% to 61.24%. Training scenarios with compressed data augmentation were shown to increase AUC at all levels of compression, from 59.51% to 64.29% at c40, although accompanied by a slight decrease in accuracy on raw data. The contribution of this study is empirical evidence of the compression resistance of lightweight architectures that are rarely studied as well as practical mitigation recommendations for the development of deepfake detection systems on mobile devices.
Co-Authors Adi Prasetyo Afif Wika Sadewa Ahmad Luthfi Al Amany, Sarah Ulfah Amrullah Sidiq Andri Ruslam Anwarudin Kurniawan Ardian Dwi Rifai Ashshidiqie Rachman, Mikhail Bahirah, Shabrina Hazrati Damayanti, Yusnita Dedy Hariyadi Dwi Kurnia Wibowo Fauzan Awanda Alviansyah Fayruz Rahma Fietyata Yudha Handika Irawan Helmy Dzulfikar Hidayati, Anisa Nur Imam Riadi Irfan Adristi, Fikri Kafita Wardhahani Kusuma, Permadi Lenni Indriani, Lenni M. Fahrul Ramadhan Mardlatillah, Hanifah Muhamad Maulana Muhammad Nur Adhar Muhammad Yusuf Halim Naufal, Reyhandri Muhammad Nur Ifani Khoirunisa Nur Marjianto, Rohsan Nurdin, Rusydi Prayudi , Yudi R, Zulihsan Raharjo, Toto Rahmadi Syahputra, Rosi Rosi Rahmadi Syahputra Rynaldy Shulton Giffary Santicho, Desylo Septina, Annisa Dinda Shofie Mauladany Aziz Sisdarmanto Adinandra, Sisdarmanto Toto Raharjo Utomo, Dicky Satrio Ikhsan Wahluf Abidian Waldi Nur Hamzah Yudi prayudi Yusroni Romadhona, Frendi Yusuf Halim, Muhammad Zakiyah, Shohwah