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Ahmad Luthfi
Islamic University of Indonesia
Computer Science & IT

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A Layered Digital Investigation Framework for Internet of Things (IoT) Forensics: A Smart Home Camera Case Study Desylo Santicho; Ahmad Luthfi; Tito Yuwono
Journal of Information System and Informatics Vol 8 No 1 (2026): February
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i1.1468

Abstract

The rapid adoption of Internet of Things (IoT) technology in various sectors, such as smart homes, healthcare, and transportation, has provided significant efficiency. Nevertheless, many IoT devices are developed without a serious review of security standards, and forensic readiness consideration. As a result, these IoT devices are vulnerable to cyber-attacks that can potentially lead to malware attacks, and system manipulation. This study aims to propose and validate a digital forensic investigation framework in the IoT ecosystem. The framework layers designed in this study consist of the device layer, network layer, and cloud layer. Validation is carried out through a simulated crime scenario recorded by the Mi 360° smart home camera. Meanwhile, the analysis phase focuses on data source artifacts from the device layer, video metadata, technical attributes, and cryptographic integrity verification using hash values (MD5 and SHA-1) documented in the Chain of Custody (CoC) method. The experimental results of this study indicate that digital evidence artifacts sourced from across layers have reliable temporal and structural consistency in reconstructing the chronology of events. This framework successfully correlated artifacts across three layers to reconstruct a complete event timeline, demonstrating its practical validity in distributed IoT forensic investigation.
Towards Privacy by Design on the Internet of Things (IoT) Use: A Qualitative Descriptive Study Ahmad Luthfi; Emigawaty Emigawaty
Journal of Information System and Informatics Vol 4 No 2 (2022): Journal of Information Systems and Informatics
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v4i2.302

Abstract

From remote control and surveillance to energy and health monitoring, IoT devices provide cutting-edge services to improve our lives. Nevertheless, IoT technologies raise complicated, innovative privacy-related issues that might limit their widespread adoption. Due to the passive nature of many IoT devices, it may be challenging for users to understand that their personal information is being gathered. Therefore, this paper aims to examine the Privacy by Design IoT application idea. We adapted the seven principles of Ann Cavoukian's Privacy by Design, which were first developed. In this study's qualitative descriptive methodology with interview sections are used. The results indicate that the majority of IoT users agree with and have high expectations for the Privacy by Design concept to be one of the remedies to the imbalance between concerns about the risks and benefits of using IoT.
Information System Project Development Management Ratio Set Assy GP Using Scrum Method Muchammad Abdulloh Munib; Ahmad Luthfi
Journal of Information System and Informatics Vol 5 No 1 (2023): Journal of Information Systems and Informatics
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i1.456

Abstract

In April 2011, the term Industry 4.0 was introduced at the Hannover Fair. PT Yamaha Indonesia was an early adopter, implementing it in their piano manufacturing process. To achieve production targets, it is necessary to monitor the production series, including the assembly of piano components into a complete unit. SAP, a software platform, is used to improve efficiency, with one of its modules being K-STAFF, which has four derivative applications: K-Master, K-Ticket, K-Score, and K-Tiptop. However, the current production process is monitored through scanning input using a SAP derivative application, which is not visualized in the production area, leading to failed targets. To address this issue, a system is required to visualize input scan results to enable direct monitoring of the production process and achieve production targets. As a result, PT Yamaha Indonesia developed the Ratio Set Assy Grand Piano system using the SCRUM method. This system includes an MIS that monitors the ratio set of piano, visualized with Apache E-Charts, manages planning, and identifies priority spare parts in real-time. This research contributes to the development of a more efficient and effective production process
Development of Logistics Driver Tenko System (ORIENT) Application Using Scrum Framework Adelia Maharani; Ahmad Luthfi
Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i2.522

Abstract

Occupational safety and health hold significant importance for both agencies and individuals alike. A crucial aspect of assessing driver readiness involves examining their physical well-being. Truck drivers who possess unhealthy physical conditions face a four-fold higher risk of work accidents compared to those with sound physical health. PT. Toyota Motor Manufacturing Indonesia (TMMIN), being a manufacturing company, must prioritize occupational safety and health, particularly within the logistics domain. Presently, some logistics partners collaborating with TMMIN adhere to their own standards when conducting checks, relying on paper records for documenting the results. Unfortunately, this approach hinders proper archiving of inspection records and fails to establish a direct link with logistics partner customers in cases involving drivers with health issues. Hence, PT. Toyota Motor Manufacturing Indonesia is dedicated to enhancing the quality of driver health checks through logistics partners by implementing an integrated recording system called the Logistics Driver Tenko System Application (ORIENT). The development of ORIENT is based on the Scrum framework. This research aims to offer insights into the direct implementation of the Scrum method in project development.
Comparison of Naïve Bayes and Logistic Regression in Sentiment Analysis on Marketplace Reviews Using Rating-Based Labeling Satya Abdul Halim Bahtiar; Chandra Kusuma Dewa; Ahmad Luthfi
Journal of Information System and Informatics Vol 5 No 3 (2023): Journal of Information Systems and Informatics
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i3.539

Abstract

This research focuses on sentiment analysis in the marketplace reviews in Google Play Store, a platform for downloading Android applications and providing reviews. Sentiment analysis is essential for understanding user responses to applications, particularly in the app marketplace. In this study, two machine learning algorithms, Naïve Bayes and Logistic Regression, are employed to classify user reviews. The application rating is used as a reference to determine the sentiment of each comment. The dataset is divided into two conditions: using 2 labels (positive & negative) and 3 labels (positive, neutral, & negative). The test results indicate that the highest performance is achieved by classifying with Logistic Regression on the Shopee dataset with 2 labels. The accuracy reaches 84.58%, precision reaches 84.66%, and recall reaches 84.63%. Additionally, the fastest processing time occurs when testing the Lazada 2-label dataset with Naïve Bayes, taking only 0.038 seconds. Overall, the research suggests that datasets with 2 labels tend to yield higher accuracy compared to datasets with 3 labels.
Enhancing Digital Forensic Investigation: A Focus on Compact Electronic Devices and Social Media Metadata Ibnu Rohan Tuharea; Ahmad Luthfi; Erika Ramadani
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.594

Abstract

The rise of portable electronic devices and social media has led to new criminal activities, necessitating advancements in digital forensics. This paper introduces Small-Scale Digital Device Forensics (SSDDF), focusing on the forensic examination of miniature digital devices often used in crimes. SSDDF addresses the challenges posed by these devices, particularly in extracting and analyzing data from them. A key aspect of this research is exploring ontology in social media forensics, particularly within the Android operating system. This involves extracting digital evidence like user accounts, messages, and images from social media platforms. While the paper primarily focuses on social media data, it acknowledges the importance of the devices used in crimes. The integration of SSDDF and the analysis of Android system structures are highlighted as key advancements in digital forensic methodologies. These enhancements are expected to improve the process of collecting and analyzing digital evidence from both compact electronic devices and social media platforms. The study offers significant contributions to the field of digital forensics. It provides new strategies for more efficient and effective forensic investigations, especially in the context of extracting and analyzing digital evidence from small electronic devices and social media, thus paving the way for more robust digital evidence handling in future forensic inquiries.
Comparison Study of NIST SP 800-86 and ISO/IEC 27037 Standards as A Framework for Digital Forensic Evidence Analysis Arif fFaizal; Ahmad Luthfi
Journal of Information System and Informatics Vol 6 No 2 (2024): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i2.717

Abstract

To ensure a comprehensive and scientifically rigorous analysis, adhering to standardized procedures serves as the foundation of any investigation. In the realm of digital forensics, the establishment of well-defined protocols for generating exhaustive reports to analyze digital evidence holds paramount importance. These reports not only carry significance in legal contexts but are also increasingly valuable across various industries for internal purposes. Esteemed organizations like the International Organization for Standardization (ISO) and the National Institute of Standards and Technology (NIST) have played a pivotal role in shaping recognized standards in this domain. The primary goal of this report is to conduct an in-depth comparison between two prominent digital forensics standards: ISO/IEC 27037, widely embraced in industries, and NIST SP 800-86, predominantly prevalent in academic circles. Through this comprehensive analysis, the report aims to provide valuable insights to Digital Evidence First Responders (DEFR), including law enforcement, academia, and industry professionals. By elucidating the discrepancies, scopes, and limitations inherent in each standard, DEFRs can bolster their understanding, thus empowering them to make well-informed decisions during digital investigations. Future works in this field should focus on the continual evolution of digital forensic practices, adapting to new technologies and challenges, and ensuring that standards remain up to date with the dynamic digital landscape.
Forensic Investigation of Drug and Food Crimes in Digital Marketplace Adinda Meutia; Ahmad Luthfi
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.882

Abstract

This research holds great significance as it is anticipated to safeguard customers from harmful frug and food products in cyberspace and to enforce the law by offering solid evidence to bring criminals to justice. Furthermore, this research helps to better understand how crimes that take place in the marketplace are committed, which enables the implementation of more effective preventive measures. Besides, in order to combat cybercrime, the findings of this study may serve as the foundation for the creation of more effective digital forensic investigation techniques. In order to perform digital forensic investigations of drug and food offenses using the marketplace, this study aims to develop an efficient and successful model or implementation guideline. This seeks to methodically direct the inquiry process while adhering to relevant norms. The objective of this research endeavor is to provide a model or practical guideline that is both effective and efficient for using the marketplace to undertake digital forensic investigations of drug and food crimes. This seeks to methodically direct the research process while adhering to relevant criteria. The following stages make up the Design Science Research (DSR) method of research: The issue in this project is "How to conduct a digital forensic investigation for Drug and Food crimes using the marketplace so that it can be used as evidence in court?" Then, in order to adopt answers from related research and make adjustments linked to research difficulties, a literature review is conducted to locate prior research. A model or implementation guideline for performing digital forensic investigations of the marketplace is the type of solution or artifact anticipated in this project. The next phase is solution design, which involves using an existing forensic investigation framework to create an artifact design. Following every step of the framework, case study experiments are then conducted to test the artifact design. The examination of the artifact design by both experts and consumers is the last phase.
Digital Forensic Analysis of UAV Flight Data Using Static and Dynamic Methods in Coal Mining Area Muhammad Yusuf Halim; Ahmad Luthfi
Journal of Information System and Informatics Vol 7 No 2 (2025): June
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i2.1061

Abstract

Unmanned Aerial Vehicles (UAV) have become vital tools in industrial sectors such as coal mining for site inspections and operational monitoring. However, unauthorized UAV flights present security risks that necessitate forensic investigation. This study examines a forensic case involving a DJI Mini 3 UAV suspected of crossing company boundaries. Using the Conceptual Digital Forensics Model for the Drone Forensic Field, both static and dynamic forensic acquisition methods were applied. Static acquisition recovered 53 photographs, 11 videos, 11 audio files, 10 deleted photos, 4 deleted videos, and 3 unidentified log files. Dynamic acquisition yielded 64 media files including 63 photographs (.JPG and .jpg) with 10 deleted, 14 videos (.MP4, .MOV, .SWF) with 6 deleted, 11 audio files, 4 plain text files, 31 deleted files, 3 EXIF metadata records containing GPS coordinates, and 3 unidentified log files. The GPS data from EXIF metadata was visualized in Google Earth to map flight paths and confirm boundary violations. These findings demonstrate that dynamic acquisition retrieves a more comprehensive artifact set than static acquisition. This study highlights the importance of UAV digital forensics in supporting security investigations and ensuring compliance with industrial UAV policies.
Co-Authors Adelia Maharani Adinda Meutia Arif fFaizal Chandra Kusuma Dewa Desylo Santicho Emigawaty Erika Ramadani Ibnu Rohan Tuharea Muchammad Abdulloh Munib Muhammad Yusuf Halim Satya Abdul Halim Bahtiar Tito Yuwono, Tito