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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Pendas : Jurnah Ilmiah Pendidikan Dasar Journal of Information System, Applied, Management, Accounting and Research Journal of Applied Engineering and Technological Science (JAETS) JATI (Jurnal Mahasiswa Teknik Informatika) G-Tech : Jurnal Teknologi Terapan TEMATICS : TECHNOLOGY MANAGEMENT AND INFORMATICS RESEARCH JOURNALS Journal of Dinda : Data Science, Information Technology, and Data Analytics Innovative: Journal Of Social Science Research International Journal of Multidisciplinary Approach Research and Science Maeswara: Jurnal Riset Ilmu Manajemen dan Kewirausahaan Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Muhammad Fahrury Romdendine
Politeknik Imigrasi Dan Pemasyarakatan
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Public Health Social Sciences Other

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TINJAUAN SISTEMATIS ANALISIS SENTIMEN DENGAN METODE PRISMA (2021–2025) Bilkis Praharani; Priati Assiroj, Muhammad Fahrury Romdendine
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 03 (2025): Volume 10 No. 03 September 2025 Terbit
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i03.34012

Abstract

This study presents a systematic review of sentiment analysis research conducted between 2021 and 2025 using the PRISMA method. From searches across three databases, namely Google Scholar, Semantic Scholar, and Garuda, a total of 12,089 articles were identified and then filtered down to 30 selected studies. The aim of this study is to identify the methods, algorithms, data sources, and accuracy levels used in sentiment analysis research. The findings indicate that the Naïve Bayes algorithm is the most widely applied, followed by SVM, while other algorithms such as KNN, Random Forest, Logistic Regression, and CNN were used only in limited cases. These findings highlight that sentiment analysis remains largely directed toward digital and social media issues, with classical algorithms such as Naïve Bayes and SVM continuing to be the main choices due to their ease of implementation and competitive accuracy.
SYSTEMATIC LITERATURE REVIEW: PENERAPAN K-MEANS CLUSTERING Albert Putra Pratama; Vita Nurul Fathya; Muhammad Fahrury Romdendine
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 03 (2025): Volume 10 No. 03 September 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i03.29785

Abstract

This study is a systematic literature review on the application of K-Means Clustering in various sectors using the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) approach. The clustering technique, particularly K-Means, is widely used in big data analysis due to its simplicity and efficiency. Although this method is popular, the main challenges include determining the optimal number of clusters, handling outliers, and computational limitations when applied to large-scale data. This research analyzes sectors that apply K-Means Clustering, such as industry, education, healthcare, and finance. The findings of this study are expected to provide insights into the trends in the use of clustering methods and offer recommendations on the most suitable tools for applying clustering based on data characteristics .
PEMANFAATAN TEKNOLOGI INFORMASI DALAM KEAMANAN LABORATORIUM UNTUK MENGANTISIPASI PENYELUNDUPAN NARKOBA DI INDONESIA: THE UTILIZATION OF INFORMATION TECHNOLOGY IN PRISON SECURITY TO ANTICIPATE DRUG SMUGGLING IN INDONESIA Alif Shofa Danutirta; Muhammad Fahrury Romdendine
TEMATICS: Technology Management and Informatics Research Journals Vol. 7 No. 2 (2025): TEMATICS: Technology ManagemenT and Informatics Research Journals
Publisher : Polteknik Imigrasi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52617/tematics.v7i2.851

Abstract

Penelitian ini bertujuan untuk menganalisis peluang pemanfaatan teknologi informasi dalam pencegahan penyelundupan narkoba di lembaga pemasyarakatan, dengan fokus pada integrasi sistem informasi dalam pengamanan. Metode penelitian menggunakan pendekatan kualitatif deskriptif berbasis data sekunder dari kebijakan internal, praktik keamanan, catatan insiden, dan studi terdahulu. Hasil penelitian menunjukkan bahwa pemanfaatan teknologi informasi seperti sistem CCTV berbasis kecerdasan buatan, pengendalian akses digital, dan integrasi manajemen data pengunjung memberikan kontribusi penting dalam pencegahan penyelundupan. Namun, hambatan utama masih ditemukan, berupa kurangnya integrasi sistem informasi, keterbatasan infrastruktur teknologi, rendahnya literasi digital petugas, ancaman keamanan siber, serta keterbatasan sumber daya. Kesimpulannya, transformasi digital dalam pengamanan lapas perlu menjadi prioritas melalui penguatan infrastruktur, peningkatan kapasitas SDM, serta kolaborasi antarlembaga untuk deteksi dini dan pencegahan. Penelitian ini berkontribusi pada pengembangan kebijakan dan sistem informasi pemasyarakatan yang lebih adaptif terhadap ancaman modern.
The Role AI in Securing Immigration Data: A Descriptive Study of Digital-Era Protection Policies Nurul Maharani Piranti; Mila Rosmaya; Muhammad Fahrury Romdendine; Cakra Trinata; Okky Pratama Martadireja
International Journal of Multidisciplinary Approach Research and Science Том 4 № 01 (2026): International Journal of Multidisciplinary Approach Research and Science
Publisher : PT. Riset Press International

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59653/ijmars.v4i01.2083

Abstract

The digital transformation of immigration systems has introduced significant challenges to personal data protection, particularly from escalating cyber threats. Critical digital infrastructure, including SIMKIM, e-Visa, and autogate, handles sensitive data whose breach could severely compromise national security and individual privacy. This qualitative descriptive study analyzes Indonesia's immigration data protection policies and evaluates the potential of Artificial Intelligence (AI) as a strategic tool for cyber threat mitigation. Our findings, based on a comprehensive literature review, indicate that current legal frameworks are largely normative, lacking specific technical provisions for data protection within this sector. In contrast, AI technology shows immense promise for detecting system anomalies, enhancing audit capabilities, and preventing data breaches. Consequently, this study recommends implementing specific sectoral technical regulations, investing in digital human resource capacity, and deploying AI-driven systems to secure immigration data, thereby laying a foundation for a risk-based, adaptive digital security governance framework.
seQuRe: an Integrated Dual Digital QR and Invisible Watermark P. Assiroj; B. Hartati; Sohirin Sohirin; B. Mulyawan; R. K. Astuti; I.A Prabadhi; C. Trinata; G.B Hertantyo; C. Susaningsih; M.F. Romdendine; O.P Martadireja
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/y7gew716

Abstract

This study introduces seQuRe, a novel approach that employs a dual-layer QR code system combined with invisible watermarking to enhance security measures in data transmission. The outer layer of the QR code facilitates general data accessibility while the inner layer, encrypted and embedded within the outer, secures sensitive information accessible only through specialized scanning. Utilizing advanced encryption standards (AES), this system ensures data integrity and confidentiality. The invisible watermarking further augments security by embedding additional data that verifies authenticity. Through systematic experimentation using Python and various libraries on Google Colaboratory, this experiment demonstrates the efficacy of seQuRe in resisting common cyber-attacks while maintaining data fidelity. We measured the peak-signal-to noise-ratio (PSNR) and the normalized cross-correlation (NCC) values of the QR images into which we had embedded watermarks, obtaining a PSNR value of 57.53 and an NCC value of 0.999. Subsequently, we also conducted simulation of attacks on the watermarked QR code with salt and pepper noise, speckle noise, and Gaussian noise attacks. From these attacks, we obtained PSNR values of 54.24 and NCC values of 0.6699 for the salt and pepper noise attack, 50.837 and 0.7319 for the speckle noise attack, and 33.17 and 0.0941 for the gaussian noise attack. The result underscores its potential application across industries requiring secure data handling and transmission. The implementation of such technology promises significant improvements in digital security, aiming to keep pace with the evolving landscape of cyber threats.
TINJAUAN SISTEMATIS PENGEMBANGAN SISTEM INFORMASI DOKUMENTASI BERBASIS WEB (2021-2025) Kadek Siva Ayu, Ni; Muhammad Fahrury, Romdendine; Priati, Assiroj
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 2 (2026): Volume 11 No. 02, Juni 2026.
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i2.44933

Abstract

This study presents a systematic review of research on web application development and testing methods conducted between 2021 and 2025 using the PRISMA method. From searches across three databases, namely Garuda, Google Scholar, and Open Alex, a total of 13,642 articles were identified and subsequently filtered down to 20 selected studies. The aim of this study is to identify the development methods, testing methods, system modeling, software, and database systems used in the development of web-based documentation information systems. The findings indicate that the Waterfall method is the most widely applied (65%), followed by the Prototyping and Agile methods. Black Box testing dominates as the primary testing method, while UML serves as the standard for system modeling. PHP-based technology is the most dominant software choice, and MySQL remains the absolute most commonly used database system.
TINJAUAN PUSTAKA SISTEMATIS PERBANDINGAN ALGORITMA K-MEANS DAN DBSCAN PADA KLASTERISASI DATA LAYANAN PUBLIK: Systematic Literature Review of K-Means And DBscan Algorithms Comparison In Public Service Data Clustering Sausan Salsabila Musriyanti; Muhammad Fahrury Romdendine; Cakra Trinata
Journal of Information System, Applied, Management, Accounting and Research Vol. 10 No. 3 (2026): JISAMAR (August 2026)
Publisher : Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52362/jisamar.v10i3.2560

Abstract

This study presents a systematic literature review comparing K-Means and DBSCAN in clustering public service data. The article adopts the PRISMA approach to make the review process systematic, transparent, and reproducible. Searches were conducted in Google Scholar, ScienceDirect, and IEEE Xplore using keywords related to K-Means, DBSCAN, clustering, and public service data. A total of 11,700 records were identified, 140 studies were retained as candidates after initial screening, and 30 studies were included in the final synthesis. The review shows that K-Means is often used because it is simple, fast, and efficient for structured data, while DBSCAN performs better for datasets containing noise, density variation, and irregular cluster shapes. In public service data, algorithm selection depends on data characteristics, analytical objectives, and parameter sensitivity.
TINJAUAN SISTEMATIS KEPUASAN PENGGUNA TERHADAP WEBSITE LAYANAN DAN APLIKASI LAYANAN KEIMIGRASIAN : STUDI LITERARUR BERBASIS PRISMA Daulay, Mhd Ilham Fansyuri; Muhammad Fahrury Romdendine; Catur Susaningsih
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 02 (2026): Volume 11 No. 02 Juni 2026
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i02.48969

Abstract

Digital transformation in immigration services has encouraged the use of websites and applications for information delivery, service applications, scheduling, and interaction with the public. This study aims to synthesize research findings on user satisfaction with digital immigration services through a PRISMA 2020-based systematic literature review approach. The search strategy was developed using keywords related to user satisfaction, website, e-government, immigration service, digital public service, and M-Paspor. Articles were selected based on inclusion criteria covering topic relevance, publication year range, type of scientific article, and their relation to system quality, information quality, service quality, ease of use, and perceived benefits. The synthesis results indicate that system quality, information quality, and service quality are the most consistent factors influencing user satisfaction. In the context of digital government services, user satisfaction is also associated with ease of access, clarity of service procedures, system reliability, and the responsiveness of service support. In the Indonesian digital immigration context, studies on the M-Paspor application show that system quality and service quality remain important issues that determine the level of use and user satisfaction. The practical implication of this study is the need to improve interface quality, system stability, information accuracy, and service integration in order to enhance user experience and the quality of public services.
SYSTEMATIC LITERATURE REVIEW: ANALISIS KETIDAKMERATAAN IMPLEMENTASI CHATBOT PADA PELAYANAN PUBLIK KEIMIGRASIAN DI INDONESIA Alief Az Ziddane, Tyo; Susaningsih, Catur; Romdendine, Muhammad Fahrury
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 11 No. 03 (2026): Volume 11 Nomor 03, September 2026 Published
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v11i03.59744

Abstract

The digital transformation of e-government in immigration agencies in Indonesia has driven the adoption of chatbot technology to improve the efficiency and responsiveness of public services, but its implementation has not been evenly distributed across all Immigration Offices (Kanim). This study aims to systematically evaluate the landscape of chatbot implementation in Indonesian immigration public services, focusing on identifying the factors causing unequal technology adoption across regions. Using the Systematic Literature Review (SLR) method with PRISMA guidelines, this study analyzed 30 selected journal articles published between 2021 and 2026 from Google Scholar, Scopus, Garuda, and Semantic Scholar databases. The main focus of the analysis is to identify the most relevant theoretical model for understanding this digital service disparity. The findings show that while the Technology Acceptance Model (TAM) and Unified Theory of Acceptance and Use of Technology (UTAUT) dominate individual user behavior studies, the Technology-Organization-Environment (TOE) framework is the most comprehensive model for analyzing disparities at the organizational and regional levels. This inequality is triggered by three main factors: digital infrastructure disparities (especially in 3T regions), gaps in apparatus digital competence, and fragmentation of inter-agency data integration policies. The results of this study contribute to the development of more inclusive digital transformation strategies for the Directorate General of Immigration.
Analisis Literatur Sistematis Pengujian Keamanan Website Layanan Keimigrasian dengan Metode Black Box dan White Box Menggunakan Pedoman PRISMA Sahat Mikhael Silalahi; Cakra Trinata; Muhammad Fahrury Romdendine
Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan Vol. 4 No. 4 (2026): Agustus : Maeswara : Jurnal Riset Ilmu Manajemen dan Kewirausahaan
Publisher : Asosiasi Riset Ilmu Manajemen Kewirausahaan dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/maeswara.v4i4.2752

Abstract

The digital transformation of immigration services requires websites that are secure, reliable, and capable of protecting sensitive user data. At the same time, the increasing use of websites in public services amplifies the risk of exploiting application security vulnerabilities. This study aims to systematically analyse prior studies on website security testing using black box and white box approaches and to examine the tendency of their effectiveness in the context of immigration service websites. The method used is a Systematic Literature Review (SLR) following the PRISMA 2020 guideline. PRISMA 2020 provides a checklist and flow diagram for transparent systematic review reporting, while the OWASP Web Security Testing Guide (WSTG) serves as a comprehensive guideline for web application security testing. Literature sources were obtained from Garuda, Scopus, Google Scholar, and Semantic Scholar within the 2021-2026 publication period. Based on the identification, screening, and eligibility selection process, 30 articles were selected. The synthesis results show that the black box approach still dominates website security testing because it is more practical, faster, and suitable for simulating attacks from the external side. In contrast, white box provides greater analytical depth because it leverages knowledge of the internal structure of the application. The most dominant tools and references are OWASP ZAP, OWASP Top 10, and OWASP WSTG. This study concludes that for immigration service websites, black box is more effective for initial detection and evaluation from the attacker's perspective, whereas white box is more effective for in-depth verification and continuous improvement. Therefore, the combination of both approaches is the most recommended.
Co-Authors Albert Putra Pratama Alief Az Ziddane, Tyo Alif Shofa Danutirta Angga Aditya Permana Angga Aditya Permana Annisa Annisa Ardhi Baskara, Arya Assiroj, Priati B. Hartati B. Mulyawan Bilkis Praharani C. Susaningsih C. Trinata Cakra Trinata Cakra Trinata Cakra Trinata Catur Susaningsih Danutirta, Alif Sofa Daulay, Mhd Ilham Fansyuri Dewanto, Rafi Dwi Handoko Putra Fatriani, Rizka G.B Hertantyo I.A Prabadhi Kadek Siva Ayu, Ni Maftuh, Naufal Maharani Piranti, Nurul Mala Nurilmala Martadireja, Okky Pratama Mila Rosmaya Nursanto, Gunawan Ari Nurul Maharani Piranti O.P Martadireja Okky Pratama Martadireja P. Assiroj Perdana, Analekta Tiara R. K. Astuti Sahat Mikhael Silalahi Sausan Salsabila Musriyanti Sohirin, Sohirin Sulasno, Mitsal Shafiq Vita Nurul Fathya Wilonotomo Wisnu Ananta Kusuma