Garuda - Garba Rujukan Digital

Python For Digital Forensics With Daubert Standard Nugraha, Arya Adhi; Kristomo, Domy
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 9, No 2 (2024): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v9i2.792

Digital forensics plays a crucial role in modern investigations, where digital evidence often holds the key to solving complex cases. Python, with its versatility and extensive libraries, has emerged as a powerful tool in the realm of digital forensics. This journal explores the integration of Python into digital forensic practices, focusing on its application in conjunction with the Daubert Standard, a legal criterion for the admissibility of expert testimony. The journal begins by outlining the fundamentals of digital forensics, discussing its methodologies and tools. It then delves into the utility of Python in digital forensic investigations, highlighting key libraries and demonstrating its capabilities through practical examples. Furthermore, the journal provides an overview of the current trends in worldwide forensics, emphasizing the increasing reliance on digital evidence and the growing demand for skilled digital forensic practitioners. It explores how advancements in technology and the proliferation of digital devices have expanded the scope and complexity of forensic investigations on a global scale. A thorough examination of the Daubert Standard follows, elucidating its criteria and implications within the legal context of digital forensics. Drawing upon real-world cases, the journal illustrates the application of the Daubert Standard in assessing the reliability and validity of digital forensic evidence. Furthermore, the journal explores the symbiotic relationship between Python and the Daubert Standard, elucidating how Python scripts and methodologies can be designed to meet the rigorous standards of admissibility and reliability mandated by Daubert. Best practices for utilizing Python in a manner consistent with legal requirements are presented, emphasizing the importance of transparency, reproducibility, and peer review. In conclusion, this journal provides insights into the convergence of Python programming, digital forensics, and legal standards, offering a comprehensive framework for practitioners to navigate the complexities of digital investigations while ensuring the integrity of evidence under the Daubert Standard

Mapping Research on the Use of Algorithms in Commerce: A Bibliometric Analysis Based on Scopus Almagribi, Ahmad Bilal; Ardianto, Fikky; Taufan, Anas; Kristomo, Domy
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3441

Algorithms had garnered widespread attention across various scientific disciplines, including the commercial sector. According to data from Scopus, over 600 documents exploring the application of algorithms in commerce were identified. However, no comprehensive bibliometric analysis had been conducted to deeply examine the implementation of algorithms within this sector. This research aimed to fill this gap by analyzing the contributions of authors, affiliations, countries, and journals within the literature on commercial algorithms. Employing bibliometric methods on 645 Scopus-indexed documents, this study revealed that 2022 marked the peak of publications with 112 documents, indicating significant growth in this area. Li, Y. from Wuhan College, China, was recognized as the most productive author. Additionally, several universities in China were noted as the most productive affiliations. The ACM International Conference Proceeding Series was the most prolific source on this topic. The study also identified Computer Science, Engineering, and Mathematics as the most popular subject areas. These results indicate a need for further research into aspects such as data privacy, User Experience (UX), Dynamic Pricing Algorithms, and blockchain technology to enhance efficiency and security in commercial applications. This research paves the way for a broader understanding of algorithm utilization in commerce and provides recommendations for future studies.

How is Software Engineering Linked to Business? A Scopus-Based Bibliometric and Visualization Almagribi, Ahmad Bilal; Ardianto, Fikky; Taufan, Anas; Kristomo, Domy
The Indonesian Journal of Computer Science Vol. 14 No. 1 (2025): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v14i1.4590

Software engineering has significantly impacted various fields, including business, yet there had been no comprehensive bibliometric analysis of its interaction with business until this study. This research filled the gap by examining key contributors, affiliations, countries, and leading journals using a bibliometric analysis of 100 Scopus-indexed documents. The study revealed a peak in publications in 2008 with 11 documents, highlighting Gruhn, V. from Universität Leipzig, Germany, as the most prolific author. Both Germany and the United States were prominent, contributing 21 documents each. "Lecture Notes in Computer Science," along with its subseries, emerged as the most cited reference. The keyword analysis identified four main clusters focusing on the integration of IT, practical business applications, the role of education, and project management. The study recommends expanding research into Agile methodologies, UX Design, and technologies like AI, Cloud Computing, and IoT, providing insights into integrating software engineering into business strategies for future challenges.

Mapping Research on the Use of Algorithms in Commerce: A Bibliometric Analysis Based on Scopus Almagribi, Ahmad Bilal; Ardianto, Fikky; Taufan, Anas; Kristomo, Domy
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 2 (2025): APRIL-JUNE 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i2.3441

Algorithms had garnered widespread attention across various scientific disciplines, including the commercial sector. According to data from Scopus, over 600 documents exploring the application of algorithms in commerce were identified. However, no comprehensive bibliometric analysis had been conducted to deeply examine the implementation of algorithms within this sector. This research aimed to fill this gap by analyzing the contributions of authors, affiliations, countries, and journals within the literature on commercial algorithms. Employing bibliometric methods on 645 Scopus-indexed documents, this study revealed that 2022 marked the peak of publications with 112 documents, indicating significant growth in this area. Li, Y. from Wuhan College, China, was recognized as the most productive author. Additionally, several universities in China were noted as the most productive affiliations. The ACM International Conference Proceeding Series was the most prolific source on this topic. The study also identified Computer Science, Engineering, and Mathematics as the most popular subject areas. These results indicate a need for further research into aspects such as data privacy, User Experience (UX), Dynamic Pricing Algorithms, and blockchain technology to enhance efficiency and security in commercial applications. This research paves the way for a broader understanding of algorithm utilization in commerce and provides recommendations for future studies.

Application of Extreme Programming Methods in the Design and Building of the Nusantara Capital Sentiment Analysis System Said, Famidin; Kristomo, Domy; Andriyani, Widyastuti
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 2 (2025): Research Articles April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i2.14617

Information about the capital city of the archipelago (IKN) in the digital era serves as a platform for individuals to express views on development, policies, and socio-economic impacts. Such information often contains personal emotional expressions, categorized as negative, neutral, or positive sentiments. This study aims to design a sentiment analysis system to evaluate public opinions regarding IKN. The system utilizes Google NLP services, which offer sentiment measurement features for analyzed text, and web scraping techniques to automate data collection from online sources. The development process employs the Laravel framework and follows the Extreme Programming approach, which ensures work efficiency. Sentiment analysis is conducted using the Support Vector Machine (SVM) method, achieving an accuracy rate of 95%. The system is designed to be web-based, ensuring accessibility across devices, including smartphones and computers. The results demonstrate that this sentiment analysis system can help individuals, organizations, and governments gain deeper insights into public perspectives on IKN. Furthermore, it serves as a valuable tool for strategic decision-making and policy evaluation related to IKN development. Future research may explore expanding the data sources and integrating more advanced analytical techniques to improve system performance.

Dynamic Bitrate Adjustment in Web-based Video Streaming Applications Using HTTP Live Streaming (HLS) Roh Bintang Jaya, Mabrur; Andriyani, Widyastuti; Kristomo, Domy; Agung Nugroho, Muhammad
Journal of Intelligent Software Systems Vol 3, No 1 (2024): July 2024
Publisher : LPPM UTDI (d.h STMIK AKAKOM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jiss.v3i1.1344

This research aims to implement Adaptive Bit Rate (ABR) in the web-based video streaming application JBTV using HTTP Live Streaming (HLS). ABR is a technique that enables automatic adjustment of video bitrate according to user network conditions, while HLS is a streaming protocol that supports adaptive streaming based on HTTP. The research methodology encompasses requirements analysis, system design, implementation, and evaluation. During the requirements analysis phase, the identification of JBTV application requirements and the features needed to implement ABR with HLS were conducted. System design involves the selection of suitable ABR algorithms and the architecture design of the JBTV application that supports HLS. Implementation is carried out by developing the JBTV application capable of generating variant streams with various bitrates and performing adaptive playback according to network conditions

Optimasi Pemilihan Lahan Pertanian Sawit dengan Pendekatan Analytic Hierarchy Process (AHP) Berbasis Android Suryanto, Suryanto; Rianingsih, Hizkia Hendra; Praptomo, Sidik; Nurohman, Muhammad; Kristomo, Domy
Syntax Literate Jurnal Ilmiah Indonesia
Publisher : Syntax Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36418/syntax-literate.v9i3.14783

Industri kelapa sawit telah menjadi salah satu pilar ekonomi utama di banyak negara produsen kelapa sawit termasuk Indonesia pada era modern yang penuh tantangan ini, Sistem Pendukung Keputusan (SPK) telah menjadi solusi yang sangat diperlukan dalam mendukung para pemangku kepentingan, seperti petani kelapa sawit, perusahaan perkebunan, dan pemerintah, dalam pengambilan keputusan yang lebih tepat dan informasional. Dalam penelitian ini, kami akan mengeksplorasi secara mendalam penggunaan SPK dengan metode AHP dalam konteks pemilihan lahan budidaya kelapa sawit. Kami akan membahas tahap-tahap penggunaan metode ini, mempertimbangkan berbagai faktor yang terlibat dalam pengambilan keputusan, serta manfaatnya dalam meningkatkan keberlanjutan dan efisiensi perkebunan kelapa sawit. Kriteria yang digunakan menggunakan 7 kriteria yaitu curah hujan, topografi, tekstur tanah, kedalaman air, ph tanah, kemiringan dan aksesabilitas kemudian menggunakan 3 subkriteria yaitu baik, cukup dan tidak. Dari kriteria dan subkriteria tersebut didapatkan hasil dari nilai konsistensi 0,056, sehingga termasuk kedalam kategori layak. Berdasarkan 7 alternatif yang dijadikan data uji, kecocokan antara hasil perangkingan di aplikasi dan perhitungan manual adalah sama, sehingga perhitungan tersebut sudah akurat dan mempunyai data yang valid

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