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All Journal INTECOMS: Journal of Information Technology and Computer Science Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) AJAD : Jurnal Pengabdian kepada Masyarakat
Edhy Poerwandono
Sekolah Tinggi Ilmu Komputer Cipta Karya Informatika
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Implementasi Alat Perangkap Nyamuk Otomatis Berbasis Arduino Edhy Poerwandono; Ahmad Raihan Mufid; Marindah Marindah; Maryana Febryanti
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 2 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i2.9239

Abstract

Penelitian ini mengkaji dampak penyakit yang ditularkan oleh nyamuk, terutama malaria dan demam berdarah dengue (DBD), yang menjadi masalah utama di Indonesia Meskipun telah ada berbagai upaya pencegahan, seperti prinsip 3M, penyuluhan, dan penggunaan obat anti-nyamuk, penelitian ini bertujuan untuk mengembangkan alat perangkap nyamuk otomatis berbasis Arduino. Alat perangkap nyamuk dirancang dan diuji menggunakan teknologi Arduino, penelitian ini menunjukkan bahwa alat perangkap nyamuk dapat berfungsi secara optimal terutama pada malam hari dengan rentang suhu 20 - 28°C dan rentang kelembaban 40 - 60%. Hasil pengujian menunjukkan bahwa alat ini mampu mengurangi populasi nyamuk pada kondisi lingkungan tertentu, yang memberikan implikasi positif dalam upaya pencegahan penyakit menular yang ditularkan oleh nyamuk. Implementasi alat ini menjanjikan potensi besar dalam meningkatkan kesejahteraan masyarakat serta menunjukkan komitmen pada inovasi teknologi untuk pencegahan penyakit menular yang ditularkan oleh nyamuk. Kata Kunci: Nyamuk, Alat Perangkap Otomatis, Arduino
Analisis Clustering Penyakit Menular pada Manusia di Jakarta Timur Menggunakan Algoritma K-Means Muhammad Arya Ramadhan; Edhy Poerwandono; Yuma Akbar; Aditya Zakaria Hidayat
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3007

Abstract

Humans are highly susceptible to various diseases without realizing their causes. The high incidence of infectious diseases in East Jakarta requires an analysis of distribution patterns to determine intervention priorities. This study aims to identify clusters of infectious diseases in East Jakarta, helping authorities plan effective prevention and treatment strategies. Data on infectious disease cases were obtained from the Central Statistics Agency of DKI Jakarta. The K-Means algorithm was used to cluster data based on variables such as period, region, type of disease, and number of cases. The results indicate several main clusters with distinct characteristics that can serve as a foundation for targeted strategies. From 2018 to 2021, diarrhea was predominant, making up 84.14% of cases in 2018 and 81.97% in 2019, pneumonia accounted for 32.92% in 2020, and TB Paru 33.63% in 2021. In conclusion, the K-Means algorithm effectively clusters infectious disease data and provides useful insights into disease distribution in East Jakarta, improving the impact of data-driven health programs.
Expert System for Diagnosis of Hypertension Disease Using Naive Bayes Method Edhy Poerwandono; Prakoso Angga Ilyasa
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 3 (2025): JULI-SEPTEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i3.3822

Abstract

Hypertension is a disorder of the blood vessels that causes the supply of oxygen and nutrients carried by the blood to be blocked to the body's tissues that need it. Hypertension is often referred to as a silent killer, because it is a deadly disease without symptoms as a warning to its victims. Hypertension sufferers range from 40 years of age and above to lifelong. In general, hypertension is caused by hereditary factors, unhealthy lifestyles, excessive salt consumption, alcoholic beverages and stress. Expert systems can be a solution to solve problems because this system works like an expert and is designed using the naive bayes method by looking at the rules and rule bases that exist in hypertension. Through this application, users can consult with the system like consulting an expert to diagnose the symptoms that occur in users and find solutions to the problems faced.
Identification of Flower Type Images Using KNN Algorithm with HSV Color Extraction and GLCM Texture Edhy Poerwandono; M. Endang Taufik
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 3 (2025): JULI-SEPTEMBER 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i3.3826

Abstract

Due to the variety of types of flowers that exist and having and tracking each variety, making plant lovers and cultivators difficult to distinguish in determining the type of flower, it takes a very long time to find out the type of flower if you only rely on the five senses. With the application of the K-Nearest Neighbor algorithm and feature extraction of color and texture, it is very helpful in image processing to identify flowers more easily and shorten the time, with the greatest accuracy of 71% using the K-7 value, the flower was successfully carried out.
Pengembangan Portal Web Kemanusiaan untuk Publikasi Sosial dan Transparansi Donasi Cakra Abhipraya Rafi Bowo Raharjo; Devara Isbani Yusuf; Edhy Poerwandono; Mesra Betty Yel
AJAD : Jurnal Pengabdian kepada Masyarakat Vol. 6 No. 1 (2026): APRIL 2026
Publisher : Divisi Riset, Lembaga Mitra Solusi Teknologi Informasi (L-MSTI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59431/ajad.v6i1.704

Abstract

The development of information technology has encouraged social and humanitarian organizations to utilize web-based systems as effective and transparent information media. Cakra Abhipraya Responsif Organization still faces challenges in publishing social activities and providing centralized and easily accessible donation reports for the public and donors. Information delivered through social media or manual methods is considered insufficient to optimally build public trust. This study aims to develop a responsive web-based humanitarian portal that functions as a medium for publishing social activities and improving donation transparency at Cakra Abhipraya Responsif Organization. The research method used is a qualitative approach with data collection techniques including observation, interviews, and documentation. The system development process consists of requirement analysis, system design, implementation, and functional testing. The results indicate that the developed web portal is able to present social activity information, donation data, and transparency reports in a structured manner and is easily accessible across various devices. The implementation of this portal is expected to improve the effectiveness of social activity publication, maintain donation transparency, and increase public and donor trust in the organization.
Co-Authors Aditya Zakaria Hidayat Ahmad Raihan Mufid Akbar, Yuma Betty Yel, Mesra Devara Isbani Yusuf M. Endang Taufik Marindah Marindah Maryana Febryanti Muhammad Arya Ramadhan Prakoso Angga Ilyasa Rafi Bowo Raharjo