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Tren dan Potensi Sistem Informasi Geografis dalam Penanggulangan Demam Berdarah: Analisis Bibliometrik Crispin, Andrian Reinaldo; Edbert, Edbert; Hulu, Victor Trismanjaya; Kamble, Pratik Bibhisan; Dharma, Abdi
Data Sciences Indonesia (DSI) Vol. 5 No. 1 (2025): Article Research Volume 5 Issue 1, June 2025
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/dsi.v5i1.6351

Abstract

Demam berdarah dengue masih menjadi masalah kesehatan masyarakat yang signifikan di banyak negara. Tingginya prevalensi penyakit ini menunjukkan perlunya alat yang efektif seperti Sistem Informasi Geografis (SIG) untuk membantu memprediksi dan mengelola penyebarannya. Penelitian ini bertujuan untuk mengkaji dan merangkum peran SIG dalam pemetaan dan komunikasi pola transmisi dengue. Metode yang digunakan adalah pendekatan bibliometrik dengan pengumpulan literatur relevan dari beberapa basis data, seperti Google Scholar, Scopus, dan PubMed. Dari total 440 artikel yang diidentifikasi, hanya 11 yang memenuhi kriteria inklusi. Data yang dikumpulkan mencakup tahun publikasi (2013–2023), judul jurnal, desain studi, populasi, intervensi, hasil, serta manfaat yang dilaporkan dari penggunaan SIG dalam penelitian terkait dengue. Analisis kualitatif dilakukan dengan mengorganisasi dan mempresentasikan temuan utama dari studi yang terpilih. Hasil menunjukkan bahwa SIG sangat berguna dalam mengidentifikasi area wabah saat ini, mendeteksi zona berisiko tinggi melalui klaster spasial, meningkatkan akurasi prediksi kasus, serta mendukung upaya surveilans secara berkelanjutan. Selain itu, SIG juga berkontribusi pada pengambilan keputusan yang lebih tepat dalam program pencegahan dan pengendalian dengue. Secara keseluruhan, SIG memainkan peran penting dalam memahami dinamika penyakit, memperkuat sistem peringatan dini, dan membimbing respons kesehatan masyarakat terhadap wabah dengue.
Trends and Potential of Geographic Information Systems in Dengue Management: Bibliometric Analysis Crispin, Andrian Reinaldo; Edbert, Edbert; Hulu, Victor Trismanjaya; Kamble, Pratik Bibhisan; Dharma, Abdi
Journal of Engineering and Science Application Vol. 2 No. 2 (2025): October
Publisher : Institute Of Advanced Knowledge and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69693/jesa.v2i2.32

Abstract

Dengue fever remains a significant public health issue in many countries. Its high prevalence highlights the need for effective tools like Geographic Information Systems (GIS) to help predict and manage the spread of the disease. This study aims to examine and summarize the role of GIS in mapping and communicating dengue transmission patterns. A bibliometric approach was used to collect relevant literature from databases such as Google Scholar, Scopus, and PubMed. Out of 440 identified articles, only 11 met the inclusion criteria. Data extracted included publication years (2013–2023), journal titles, study designs, populations, interventions, outcomes, and reported benefits of GIS in dengue-related research. Qualitative analysis was conducted by organizing and presenting key findings. The results show that GIS is valuable in identifying current outbreak areas, detecting high-risk zones through spatial clustering, improving the accuracy of case predictions, and supporting ongoing surveillance efforts. Additionally, GIS contributes to more informed decision-making in dengue prevention and control programs. Overall, GIS plays an essential role in understanding disease dynamics, enhancing early warning systems, and guiding public health responses to dengue outbreaks.
IMPLEMENTING SHA-256 IN BLOCKCHAIN FOR SECURE AND TRUSTED ONLINE TRANSACTIONS OF MSMEs Luis, Matthew; Dewantoro, Rico Wijaya; Crispin, Andrian Reinaldo; Putra, Adya Zizwan; Dharma, Abdi; Chrysia, Celine; Vagga, Cherry Piya
JIKO (Jurnal Informatika dan Komputer) Vol 8, No 3 (2025)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i3.10606

Abstract

The advancement of information technology has driven digital transformation in various sectors, including Micro, Small, and Medium Enterprises (MSMEs), which are vital to Indonesia's economy. However, local MSMEs still face challenges in online transactions, especially related to data security and low consumer trust. Issues like data manipulation, lack of transparency, and weak security systems hinder optimal digitalization. This study implements the SHA-256 cryptographic algorithm in a blockchain system to enhance security and trust in local MSMEs' online transactions. SHA-256 is chosen for its ability to produce unique, permanent, and tamper-resistant hashes. The system adopts a decentralized blockchain model, where transactions are recorded in encrypted, chronologically linked blocks. The testing results show that the SHA-256-based blockchain system functions effectively in maintaining data integrity and preventing manipulation. Black Box Testing confirmed that the system operates correctly from the user's perspective, including login validation, transaction recording, manipulation detection, and transaction history retrieval. White Box Testing validated the internal logic of the system, proving the correct implementation of SHA-256 hashing, block linking, Proof of Work (PoW), and transaction validation mechanisms. All test cases passed successfully, demonstrating that the system is stable, functional, and secure.