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Integration Strategy for Public Service Applications Based on Web Services (Case Study: BPOM and Ministry of Health) Muslim, Buhari
Eduvest - Journal of Universal Studies Vol. 5 No. 1 (2025): Journal Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i1.1620

Abstract

Developing Web Service Based Public Service Application Integration is a Strategic Program of the POM Agency and the Ministry of Health in Accelerating Public Services to the Community, in the context of automating the delivery of data. Issuing Supervision Result Analysis Certificates (AHP) with Narcotics, Psychotropics and Precursor commodities (POM Agency) to the Ministry of Health to fulfill data needs in the import and export licensing services for Narcotics, Psychotropics and Pharmaceutical Precursors for business actors. The total number of AHP document requests (2021) was 730 documents and 615 documents were approved from Import and Export service performance data (SLA 2021). Web Service is software used in the data exchange process. The integration strategy carried out is to carry out comparative studies and analysis by conducting tests to determine which Web Service suits the application service needs, be it SOAP or REST.  the data received is appropriate, valid and accurate with that in the database (S.Achsan 2022: 8). The final objective of this research is to conduct a comparative study and analysis to determine the appropriate web service, either SOAP or REST, by conducting local testing, to then be used in integrating the Ministry of Health's Monitoring Results Analysis Certificate (AHP)-NPP data safely, quickly and efficiently. from an SLA of 3 working days to 1-2 working days
Integrating Artificial Intelligence in Mathematics Learning to Improve Conceptual Understanding Hamidin, Ahmad; Muslim, Buhari
LOGIKA: Jurnal Pendidikan Matematika Vol. 2 No. 1 (2026): LOGIKA: Jurnal Pendidikan Matematika, Februari 2026
Publisher : Gema Cendekia Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71094/logika.v2i1.327

Abstract

The rapid development of Artificial Intelligence (AI) has brought significant changes in various fields, including education. In mathematics learning, AI offers opportunities to improve students' conceptual understanding through adaptive, personalized, and data-driven learning. This article aims to examine the integration of Artificial Intelligence in mathematics learning and its contribution to improving students' conceptual understanding. The research method used is a systematic literature review of national and international journal articles relevant to the topic of AI and mathematics education. The results of the study indicate that the application of AI, such as intelligent tutoring systems, learning analytics, and educational chatbots, can help students understand mathematical concepts more deeply, reduce misconceptions, and increase learning engagement. However, AI integration also faces challenges, including teacher readiness, ethical data use, and gaps in technology access. Therefore, an appropriate implementation strategy is needed so that the use of AI in mathematics learning can be effective and sustainable.