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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal ULTIMA InfoSys
David Tjahjana
Universitas Multimedia Nusantara
Computer Science & IT Engineering

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Pola Cluster Geospatial Eksplorasi Kejahatan Narkoba di DKI Jakarta Raymond Sunardi Oetama; Tan Thing Heng; David Tjahjana
ULTIMA InfoSys Vol 11 No 1 (2020): Ultima InfoSys : Jurnal Ilmu Sistem Informasi
Publisher : Universitas Multimedia Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (764.268 KB) | DOI: 10.31937/si.v9i1.1514

Abstract

This study is focused on building some visualizations of crimes that occur in the Jakarta area in general, and specifically on drug problems. As the largest city in Indonesia, Jakarta faces the highest number of crimes throughout Indonesia. But unfortunately, there is a lack of geospatial visualization about crime in Jakarta. The visualizations are presented as some cluster models. These models show which parts of Jakarta with a high level of crime, the biggest crimes in Jakarta, and the types of crimes that occur in Jakarta. The biggest crime in Jakarta is also explained with some additional information such as the type of crime, age, and distribution. Clustering is divided into three, which are high, medium, and low. The grouping model was built using Tableau with the K-means algorithm. The results of this study can be used for the Provincial Government of DKI Jakarta to make strategic plans to develop actions that can reduce crime rates in Jakarta.
A Validated Blockchain Model and Architecture for Public Health System for Data Security Erick Fernando; Yulius Denny Prabowo; Winanti Winanti; David Tjahjana; Monika Evelin Johan
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 6 (2025): December 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i6.6934

Abstract

Blockchain has been identified as a technology that can be used in healthcare systems, especially in terms of data security, privacy, and interoperability. This article explores the application of blockchain in various medical processes ranging from patient registration, visit registration, initial examination, patient examination, diagnostic input, and drug preparation. This study was conducted at a healthcare facility that utilizes blockchain as a technology to manage patient data, medical records, and drug prescriptions. This study uses a combined approach between literature studies and qualitative methods using the Focus Group Discussion (FGD) technique for evaluates the impact of model blockchain. Model validation with domain experts in the health sector (doctors, nurses, administrators, IT experts, and pharmacists). The results research is a validated Model blockchain public health sector improves the security and privacy of patient data but also accelerates operational processes in the healthcare chain. This study concludes that blockchain can be a transformational solution for addressing major problems in the healthcare sector, although cross-sector collaboration is needed to ensure successful implementation.
Co-Authors Erick Fernando Monika Evelin Johan Raymond Sunardi Oetama Tan Thing Heng Winanti Winanti Yulius Denny Prabowo