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Model Desa Siaga (Deteksi Dini dan Edukasi Berkelanjutan) Dalam Pengendalian Hipertensi di Gampong Tijue Kecamatan Pidie Kabupaten Pidie Rahmi Inayati; Ainal Mardhiah; Adam; Manza Aulia Risky; Tuti Lestari Siagian
Jurnal Pengabdian Meambo Vol. 5 No. 1 (2026): Jurnal Pengabdian Kepada Masyarakat MEAMBO
Publisher : PROMISE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56742/jpm.v5i1.228

Abstract

Hipertensi merupakan salah satu masalah kesehatan masyarakat yang prevalensinya terus meningkat dan berdampak pada tingginya angka kesakitan di berbagai wilayah, termasuk Gampong Tijue, Kecamatan Pidie. Rendahnya kesadaran masyarakat mengenai deteksi dini serta terbatasnya akses edukasi kesehatan menjadi tantangan dalam upaya pengendalian hipertensi. Kegiatan pengabdian ini bertujuan untuk meningkatkan pengetahuan, keterampilan, dan kesadaran masyarakat melalui penerapan Model Desa Siaga yang berfokus pada deteksi dini dan edukasi berkelanjutan. Metode pelaksanaan meliputi tahap pra pelaksanaan berupa koordinasi dan persiapan, tahap pelaksanaan berupa skrining tekanan darah, penyuluhan kesehatan, serta pelatihan kader, diikuti dengan evaluasi dan monitoring keberlanjutan program. Hasil kegiatan menunjukkan peningkatan partisipasi masyarakat dalam pemeriksaan tekanan darah, meningkatnya pemahaman mengenai pengendalian hipertensi, serta adanya penguatan kapasitas kader dalam melakukan pemantauan kesehatan secara mandiri. Kesimpulan dari kegiatan ini adalah bahwa Model Desa Siaga efektif dalam meningkatkan resiliensi kesehatan masyarakat dan mendukung pengendalian hipertensi berbasis komunitas
Prototype of Detector for Metal Content in Packaged Drinks Using Salinity Sensor Based on Arduino Uno Mauliddin, Mauliddin; Daud, Muhammad; Multazam, Teuku; Mardhiah, Ainal; Waldi, M. Fitra
Jurnal Teknologi Vol 26, No 1 (2026): April 2026
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/teknologi.v26i1.8891

Abstract

This research aims to design and build a prototype device for detecting iron (Fe) and manganese (Mn) metals in packaged drinks using a salinity sensor processed using the Kalman filter method. Packaged drinks are a popular choice due to their convenience and variety of flavors, but their metal content needs to be monitored to prevent health risks. This system was designed using an Arduino Uno microcontroller as the main controller, with a salinity sensor to detect Fe and Mn levels, and an LCD as the data display. Testing was conducted by comparing the device's detection results with laboratory data obtained from the Banda Aceh Industrial Standardization and Services Center. The results showed that the device was able to detect Fe with an accuracy of 98.48% and Mn with an accuracy of 100%. The average measurement error for Fe was 1.52%, while for Mn, the error was 0%. These results demonstrate that the designed device functions well and has high accuracy, thus potentially being used as an independent test tool for the suitability of packaged drinks.