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All Journal JITK (Jurnal Ilmu Pengetahuan dan Komputer) Caring : Jurnal Pengabdian Masyarakat ASMAT: Jurnal Pengabmas
Ester Rumaseb
Poltekkes Kemenkes Jayapura
Computer Science & IT Dentistry Health Professions Medicine & Pharmacology Nursing Public Health

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COMMUNITY GROUP CARING FOR HEALTHY LUNGS (MADUPASEH) TOWARDS THE PREVENTION OF PULMONARY TUBERCULOSIS IN YOKA VILLAGE Rohmani Rohmani; Frengky Apay; Ardhanari Hendra Kusuma; Ester Rumaseb
Caring : Jurnal Pengabdian Masyarakat Vol 2, No 3 (2022): CARING Jurnal Pengabdian Masyarakat (Desember 2022)
Publisher : Caring : Jurnal Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.caringjpm.2022.002.03.1

Abstract

Tuberculosis (TB) is an infectious disease caused by infection with the bacterium Mycobacterium tuberculosis. The source of transmission is tuberculosis patients with positive Acid Resistant Bacillus (positive BTA) through splashes of sputum droplets that they emit. Indonesia is the country with the second highest number of new cases in the world after India. The purpose of this community service is to empower the people of Yoka Village in the Prevention of Pulmonary TB by forming a Healthy Lung Care Community (MADUPASEH). The method in this implementation is to conduct a Focus Group Discussion (FGD) with the Yoka Village Government and the Head of the Yoka Health Center to discuss the problems in Yoka Village. The result: this community service was attended by the Head of Yoka Village along with village government staff, the community, ondoafi leaders, ondofolo, youth leaders, women leaders, and TB Paru cadres in Yoka Village.
PENINGKATAN PENGETAHUAN TENTANG KEKAMBUHAN MALARIA PADA MASYARAKAT DI KAMPUNG SEREH PAPUA Elen Purba; Frengky Apay; Korinus Suweni; Ester Rumaseb; Suriyani Suriyani
ASMAT: Jurnal Pengabmas Vol. 2 No. 1 (2022): Desember 2022
Publisher : Poltekkes Kemenkes Jayapura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47539/ajp.v2i1.46

Abstract

Kampung Sereh, Distrik Sentani, Kabupaten Jayapura berdekatan langsung dengan wilayah Kabupaten Keroom yang menjadi salah satu wilayah tertinggi kasus malaria. Data Dinas Kesehatan Kabupaten Jayapura Tahun 2019 menunjukan bahwa angka kesakitan malaria mencapai 22.140 kasus, sehingga diperlukan keterlibatan dan partisipasi masyarakat dalam program kesehatan yaitu memandirikan masyarakat secara individu untuk melakukan upaya-upaya pencegahan malaria melalui pemberantasan sarang nyamuk, menjaga kebersihan lingkungan dan perlunya mengikuti penyuluhan kesehatan tentang pencegahan malaria. Tujuan kegiatan ini adalah memberikan pendidikan kesehatan mengenai kekambuhan malaria kepada masyarakat atau kelompok sehingga dapat membentuk dan mempersiapkan masyarakat terhadap pencegahan primer penyakit malaria. Pelaksanaan kegiatan dilakukan metode sosialisasi yaitu penyuluhan tentang upaya pencegahan malaria serta melakukan pemeriksaan kesehatan kepada masayarakat. Kegiatan diikuti oleh 36 orang yang berada di posyandu Kampung Sereh dan dilakukan pengukuran pretest dan postest untuk mengetahui efektivitas kegiatan. Hasil pengukuran pengetahuan kekambuhan malaria menujukan bahwa terjadinya peningkatan pengetahuan yang dimiliki oleh peserta tentang kekambuhan malaria sebelum dan setelah kegiatan sosialisasi.
THE ROLE OF AI (ARTIFICIAL INTELLIGENCE) FOR ALZHEIMER: A SYSTEMATIC REVIEW Ester Rumaseb; Sulistiyani Sulistiyani; Lalu Guntur Payasan
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.6154

Abstract

Alzheimer's disease (AD) is the most common type of dementia and represents a significant global health problem due to its profound impact on patients' quality of life and the heavy burden it places on health care. Alzheimer's is characterized by a progressive decline in cognitive function and memory, ultimately disrupting daily activities and leading to dependence on long-term care. This systematic literature review aims to explore the role of AI in diagnosing and managing Alzheimer’s disease. The method used in this study refers to the PICO framework to highlight various studies on the role of AI for Alzheimer's disease. Recent breakthroughs in the field of artificial intelligence (AI), particularly machine learning (ML) and deep learning, offer promising innovative approaches to improve diagnosis, monitoring, and understanding of Alzheimer's disease.
Co-Authors Ardhanari Hendra Kusuma Elen Purba Frengky Apay Frengky Apay Korinus Suweni Lalu Guntur Payasan Rohmani Rohmani Sulistiyani Sulistiyani Suriyani Suriyani