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FTK Image For Forensic Data Processing In Forensic Tools Rachmat Suryadithia; Witriana Endah Pangesti; Muhammad Faisal; Aji Nurrohman; W Wibisono; Arman Syah Putra
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/ijistech.v5i6.199

The background of this research is how the use of a software can help find forensic data, which is needed so that the tool used is the right tool in helping forensic problems. The method used in this study is the NIJ method using 5 stages in a process of determining the answer. The first stage is preparation, the second stage in collecting data, the third is testing and the fourth stage is analyzing and the last is the reporting stage with the five stages. The direction of the research will be clearer. The problem raised in this research is how to find evidence using FTK images software. Using this software, you can search for the desired forensic data so that it can be proven that there is forensic evidence. The purpose of this study is how to prove data, especially photo data, can be used as forensic data that can be used as evidence, by using the right tools, namely the existing FTK images software, with the software, it can help parties in proving, especially in terms of forensics

Decision Support System For The Best Student Selection Recommendation Using Ahp (Analytic Hierarchy Process) Method Dona Katarina; Aji Nurrohman; Wibisono; Priatno; Arman Syah Putra
International Journal of Educational Research & Social Sciences Vol. 2 No. 5 (2021): October 2021
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51601/ijersc.v2i5.186

The background of this research is how to choose the best students in school using the AHP algorithm. Then it can be determined who the best students are. Based on the system that will be input and processed by the system so that it will produce maximum output and not in favor of anyone. The method used in this study is to use the literature study method. And literature study using these 2 methods will be able to provide something new, especially in the field of problem formulation and novel poles will be found after that the method is to conduct trials by inputting process and output so that you can find out who the best students in school. The problem raised in this study is how to determine the best students. Based on the system not based on the choice of someone with the system, it will help the school in determining the best students so that it does not side with one party and choose the wrong choice. In this study will produce data that can be known which students will be selected to be the best students in school based on the process of the AHP algorithm that has been included in this study.

FTK Image For Forensic Data Processing In Forensic Tools Rachmat Suryadithia; Witriana Endah Pangesti; Muhammad Faisal; Aji Nurrohman; W Wibisono; Arman Syah Putra
IJISTECH (International Journal of Information System and Technology) Vol 5, No 6 (2022): April
Publisher : Sekolah Tinggi Ilmu Komputer (STIKOM) Tunas Bangsa

The background of this research is how the use of a software can help find forensic data, which is needed so that the tool used is the right tool in helping forensic problems. The method used in this study is the NIJ method using 5 stages in a process of determining the answer. The first stage is preparation, the second stage in collecting data, the third is testing and the fourth stage is analyzing and the last is the reporting stage with the five stages. The direction of the research will be clearer. The problem raised in this research is how to find evidence using FTK images software. Using this software, you can search for the desired forensic data so that it can be proven that there is forensic evidence. The purpose of this study is how to prove data, especially photo data, can be used as forensic data that can be used as evidence, by using the right tools, namely the existing FTK images software, with the software, it can help parties in proving, especially in terms of forensics

COMPARATIVE ANALYSIS OF AUTOMATION FUNCTIONAL TESTING TOOLS PERFORMANCE FOR PLAYSTORE APPS WITH DIA METHOD Faizal Riza; Berliyanto Berliyanto; Aji Nurrohman; Rachmat Setiabudi
Jurnal Techno Nusa Mandiri Vol 21 No 1 (2024): Techno Nusa Mandiri : Journal of Computing and Information Technology Period of
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v21i1.5363

The complexity of smartphone applications presents challenges for developers, who must ensure flawless functionality despite limitations such as budget and time constraints. Manual testing is time-consuming, prompting a shift towards automated testing methods to ensure efficiency and reliability. In this context, researchers are evaluating the efficacy of three leading test automation frameworks—Robot Framework, Katalon Studio, and UI Path—against key performance parameters. Using the Distance to the Ideal Alternative (DIA) method on playstore apps. The main performance parameters used as a reference are automated testing progress and tools usability. Katalon Studio emerges as the top performer, securing the top rank with a remarkably close to the alternative ideal positive distance (Ri) value of 0.00001. UI Path occupies the second position with a Ri value of 0.00135, while Robot Framework trails behind with a Ri value of 0.00295. This research contributes to the understanding of the performance of different automation frameworks in the context of functional testing, providing valuable insights for developers and organizations seeking to optimize their testing processes. The findings underscore the significance of Katalon Studio's exceptional performance and highlight opportunities for improvement in UI Path and Robot Framework. Additionally, implementing a robust monitoring and evaluation framework is crucial for tracking the ongoing performance and optimizing the efficiency of these automation frameworks.

A System For Monitoring Indoor Air Quality Based On The Internet Of Things Aji Nurrohman; Berliyanto Berliyanto; Sigit Wibisono; Surya Darma; Wibisono Wibisono; Leni Devera Asrar; Triyono Budi Santoso
Jurnal Inovatif : Inovasi Teknologi Informasi dan Informatika Vol. 7 No. 1 (2024)
Publisher : Universitas Ibn Khaldun Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar

In this era of rapidly evolving information technology, the need to monitor and manage indoor air quality is becoming increasingly important. Poor air quality can have a negative impact on human health and productivity. Therefore, this research aims to design and implement an Internet of Things (IoT)-based Indoor Air Quality Monitoring System. The proposed system uses sensors connected to the IoT network to measure air quality parameters, such as temperature, humidity, particle content, and certain gases. The data collected by these sensors will be sent in real-time to a server via an internet connection. The server will process the data and present it in a form that can be accessed through a web interface. The implementation of IoT allows for more efficient and accurate monitoring, and provides easy access to data remotely. Users can monitor indoor air quality through their mobile devices or personal computers. The use of IoT technology in this monitoring system is expected to increase responsibility and awareness of indoor air quality. The results of this research are expected to contribute to the development of innovative solutions to improve the health and comfort of indoor environments. The conclusion of this research includes evaluation of system performance, analysis of the data generated, as well as potential development and improvement for further research.

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