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All Journal ABDIMAS SILIWANGI Jurnal Impresi Indonesia Jurnal Abdimas Jatibara Jurnal Ar Ro'is Mandalika (Armada)
Anwarudin, Anwarudin
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Religion Arts Humanities Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Public Health Social Sciences

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Deteksi Dini Pencegahan Penyalahgunaan NAPZA Pada Siswa Sekolah Menengah Kejuruan Anwarudin, Anwarudin; Astuti, Dian Wuri; Unika, Maria; Prayoga, Aldi; Laim, Jois G.; Maximilianus, Maximilianus; Aini, Amalika Sifa; Katarina, Shinta
Jurnal Abdimas Jatibara Vol 3, No 1 (2024): Jatibara Vol.3 No.1 Agustus 2024
Publisher : STIKES Yayasan RS.Dr.Soetomo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29241/jaj.v3i1.1999

Abstract

Adolescence is a transition period between childhood and adulthood, which begins when sexual maturity occurs between the ages of 11 or 12 to 20 years. Adolescence is very vulnerable to cases of NAPZA abuse, where currently the case has entered the critical stage. Therefore, it is necessary to take preventive measures in the form of education. The aim of this community service is to increase the knowledge of teenagers (vocational school students) about the dangers of drug abuse for health as well as screening for methamphetamine abuse. The methods used include situation analysis through field surveys, education, and methamphetamine screening examinations. The results obtained were in the form of increased knowledge, understanding and awareness of the dangers of drug abuse as well as negative methamphetamine screening results for class X students at SMK Giri Handayani Gunungkidul DIY.
Pemeriksaan gula darah dan asam urat sebagai upaya peningkatan kesehatan masyarakat Nuryati, Arum; Wuri Astuti, Dian; Nadifah, Fitri; Anwarudin, Anwarudin
Abdimas Siliwangi Vol. 8 No. 2 (2025): Juni 2025
Publisher : IKIP SILIWANGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22460/as.v8i2.26899

Abstract

The blood sugar, uric acid and blood pressure screening activities carried out in RT 04 Tamanan Wetan aim to increase efforts to detect non-communicable diseases.Diabetes Mellitus can cause various complications, including macrovascular or microvascular. Diabetes Mellitus can also cause quite serious cardiovascular disorders if not treated immediately because it can increase hypertension and heart infarction. Uric acid has a close relationship with purine metabolism disorders that can trigger an increase in uric acid levels in the bloodThe stages of activities that will be carried out include participant registration, blood pressure measurement, and random blood sugar level measurement. Participants in this health check-up were 77 people. The results of this examination showed that participants with hypertension were 64.9%, Pre-Diabetes 5.2%, Diabetes 10.4%, and High Uric Acid Levels 22.1%. In conclusion,This free health check activity is very beneficial for the community as an effort to improve public health.Keywords :Non-Communicable Diseases, Health Check-up
The Impact of AI Implementation on Integrated Prediction of TB and Anemia Spread Anwarudin, Anwarudin
Jurnal Ar Ro'is Mandalika (Armada) Vol. 5 No. 3 (2025): JURNAL AR RO'IS MANDALIKA (ARMADA)
Publisher : Institut Penelitian dan Pengembangan Mandalika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59613/armada.v5i3.5073

Abstract

This study explores the impact of Artificial Intelligence (AI) implementation in the integrated prediction of tuberculosis (TB) and anemia spread. The primary aim is to assess how AI technologies, such as machine learning algorithms and predictive modeling, can enhance the accuracy and efficiency of forecasting TB and anemia prevalence in different populations. The research employs a combination of data from healthcare databases, epidemiological studies, and patient records, analyzed using AI-driven tools to identify patterns, correlations, and predictive factors for the spread of these diseases. Results show that AI significantly improves the predictive capabilities, offering more precise and early identification of areas at risk, thus aiding healthcare providers in deploying targeted interventions. The integration of TB and anemia prediction using AI also allows for more effective resource allocation, early diagnosis, and improved patient outcomes. This study highlights the importance of AI in transforming healthcare practices and disease control efforts, suggesting that the integration of AI technologies could lead to more proactive public health strategies. The findings contribute to the growing body of knowledge on the intersection of AI and epidemiology, advocating for further research and wider adoption of AI-driven solutions in global health initiatives.
Smarthealth Sleman: Aplikasi Prediksi Penyebaran Tuberkulosis Dengan Kejadian Anemia Berbasis Artificial Intelligence Anwarudin, Anwarudin; Arisandi, Desto; Prasetya , Hieronymus Rayi
Jurnal Impresi Indonesia Vol. 4 No. 10 (2025): Indonesian Impression Journal (JII)
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/jii.v4i10.7087

Abstract

The need to find TB cases early and be able to provide accurate and reliable predictions of TB spread requires applications to support government programs in TB prevention and control. Through the development of the "SmartHealth Sleman" application by combining the power of two algorithms, Naive Bayes Classification and K-Nearest Neighbors, this study is expected to be able to predict the risk of TB spread and anemia incidence in TB patients in real time. The existence of an application with visualization integration and a website-based interface is expected to be a tool in decision-making at the level of health services and local government policies. Research objectives: to develop AI-based predictive applications capable of mapping the risk of TB spread and anemic incidence, to apply and compare the performance of the Neive Bayes Classification and K- Nearest Neighbors in the context of local data, and to provide spatial visualizations and interactive dashboards to support medical decision-making and government policies. The research method used is a spatial analysis approach that analyzes data based on geographical location and factors that affect the spread of TB and applies and compares the performance of Neive Bayes Classification and K-Nearest Neighbors in the context of local data related to AI-based predictions that are able to map the risk of TB spread and anemia incidence in Sleman Regency. Data on TB patients was obtained from the TB 03 register unit of the Sleman Regency Health Office covering 25 work areas of the health center in 2020-2024 including age, gender, type of TB, TB classification, number of cases, location (puskesmas and sub-districts), occupation, education level, distance of the patient's home to health services. Determination of anemia status was carried out through examination of hematological profiles using Sysmex SN1000R. The creation of an AI-based "SmartHealth Sleman" application was used to assess the predictive risk of TB spread with the incidence of anemia presented in the form of a mapping (ArcView GIS version 3.1) for spatial visualization and an interactive dashboard that is expected to support medical decision-making and government policies.
Co-Authors Aini, Amalika Sifa Arum Nuryati Desto Arisandi Dian Wuri Astuti Dian Wuri Astuti, Dian Fitri Nadifah Katarina, Shinta Laim, Jois G. Maximilianus, Maximilianus Prasetya , Hieronymus Rayi Prayoga, Aldi Unika, Maria