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SYSTEMATIC LITERATURE REVIEW: SISTEM ANTRIAN PADA PELAYANAN PUBLIK Dwi Handoko Putra; Wilonotomo; Muhammad Fahrury Romdendine
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 02 (2025): Volume 10, Nomor 02 Juni 2025 t
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i02.23555

Abstract

Queue management systems are an essential and fundamental component in all service and product sectors. These systems are crucial because they are the main point of interaction between an organization and its clients. This study seeks to explore the theoretical foundations and methodological approaches applicable to the analysis of queuing systems. The study used a literature review methodology with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines, examining scientific papers from Google Scholar published between 2020 and 2025. The findings revealed that the Technology Acceptance Model (TAM) emerged as the dominant theoretical framework, while qualitative research methods, particularly survey-based approaches, were the most frequently used methodologies. In addition, SPSS software stood out as the primary analytical tool among researchers in this field.
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.