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Efektivitas Sosialisasi Mitigasi Bencana Gempa Bumi dan Tsunami di Wilayah Pesisir Latuhalat Kota Ambon Kelibulin, Josephus Ronny; Nanlohy, Pieldrie; Lebang, Annamaintin Kobong; Manuhutu, Ledy; Latumeten, Grimaldy Rooy
Bima Abdi: Jurnal Pengabdian Masyarakat Vol. 5 No. 3 (2025): Bima Abdi: Jurnal Pengabdian Masyarakat
Publisher : Yayasan Pendidikan Bima Berilmu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53299/bajpm.v5i3.2404

Abstract

Kegiatan pengabdian masyarakat ini bertujuan meningkatkan pengetahuan dan kesiapsiagaan warga pesisir Negeri Latuhalat, Kota Ambon, terhadap potensi gempa bumi dan tsunami. Metode pelaksanaan mencakup sosialisasi edukatif berbasis visual menggunakan video simulasi 3D, brosur, spanduk lokal, serta pre-test dan post-test. Masyarakat diperkenalkan pada potensi tsunami lokal akibat aktivitas sesar bawah laut, serta pentingnya evakuasi cepat melalui jalur aman yang telah dipetakan. Hasil evaluasi menunjukkan peningkatan pemahaman signifikan dari skor rata-rata 40,8% (pre-test) menjadi 86,1% (post-test), mencakup aspek pengetahuan dan sikap (K), rencana tanggap darurat (EP), peringatan dini (WS), dan mobilisasi sumber daya (RMC). Media edukatif yang dikembangkan terbukti efektif memperkuat pesan mitigasi dan menjangkau lebih banyak warga. Partisipasi aktif masyarakat menunjukkan antusiasme tinggi terhadap edukasi kebencanaan. Luaran kegiatan meliputi video edukatif, brosur, banner, peta rendaman tsunami hasil pemodelan numerik, serta peta evakuasi lokal yang dapat digunakan dalam program kesiapsiagaan lanjutan dan pelatihan kebencanaan di sekolah maupun masyarakat umum.
Development of an Arduino Uno-Based Alcohol Content Detector for Sopi Beverages Using the MQ-3 Sensor Salamena, Gianita Anastasia; Loupatty, Grace; Manuhutu, Ledy
POSITRON Vol. 16 No. 2 (2026): Vol. 16 No. 2 Edition (This issue was scheduled for publication on July 31, 20
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v16i2.102210

Abstract

This study aims to develop an alcohol content detector based on Arduino Uno employing the MQ-3 gas sensor as the primary detector, specifically for the traditional Maluku beverage, Sopi. The MQ-3 sensor reads analog voltages, which are processed through Arduino IDE into digital values and displayed on an LCD as alcohol concentration (mg/L) along with safety level information. The system is also equipped with LED and buzzer indicators to enhance feedback. Calibration results indicate a linear relationship between the sensor’s ADC values and alcohol concentration, expressed by the regression equation Y = 0.3438X – 182.95, with a determination coefficient of R² = 0.9849, signifying a very strong correlation. Tests on several Sopi samples revealed that regular Sopi (Sample C) contains around 30% alcohol, while premium Sopi (Samples A and B) contains 50–70% alcohol. These results confirm that the developed system can accurately detect alcohol content, while being simple, portable, and well-suited for local community needs in Maluku.