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PENGEMBANGAN PERANGKAT KERAS SISTEM MITIGASI DAN PEMANTAUAN BANJIR TERPADU MENGGUNAKAN SENSOR FUSSION Dicky Kurniawan; Agus Mulyana
INFOKOM (Informatika & Komputer) Vol 8 No 2 (2020): JURNAL INFOKOM DESEMBER 2020
Publisher : POLITEKNIK PIKSI GANESHA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (652.834 KB) | DOI: 10.56689/infokom.v8i2.446

Abstract

Flooding becomes a problem when the rainy season arrives. The impact caused not only by a pool of water, damage to infrastructure, and interrupted access to land transportation, to fatalities caused by electric shocks, flood currents, even post-flood diseases. With the impact caused by flooding, we need a device for monitoring the level of water leveling the river and can work optimally in every weather condition, environmental conditions. So the research was made with a field specification that is able to answer all the problems that occur with the previous tool, namely the Design of Android-Based Integrated Flood Monitoring System and Website with the HTTP Request communication protocol. This research is a device development by applying Fussion Sensor which combines several sensors such as ultrasonic sensors, BME280 sensors and rain sensors with the incorporation of these sensors with the aim of increasing accuracy in reading data by comparing water level data with weather conditions with reference to sensor comparison data from BMKG, BPS Bandung as data validation. Application of the MQTT communication protocol to support data transmission from the Fussion Sensor. With this renewal research, it is hoped that it will be beneficial for the people and government in dealing with flood preparedness, especially in the city of Bandung.
Strategi Pengembangan Bisnis Agroteknologi Agri Edu Pariwisata Pertanian Kabupaten Sumedang Dicky Kurniawan; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Agus Mulyana
Jurnal Manajemen, Bisnis dan Kewirausahaan Vol. 6 No. 1 (2026): April: Jurnal Manajemen, Bisnis dan Kewirausahaan (JUMBIKU)
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jumbiku.v6i1.6611

Abstract

Indonesia, as an agricultural country ranked 51st out of 78 countries in the 2021 Food Sustainability Index (FSI) and with a low performance in the Sustainable Agriculture category (ranked 71st), faces serious challenges in global food security due to the lack of accurate agricultural land data. This problem hinders efforts to achieve the Sustainable Development Goals (SDGs), particularly SDG 2 on zero hunger for food security and nutrition, and SDG 12 on sustainable consumption and production in the efficient use of resources. To overcome this, the Precision Agriculture Ecosystem Map has emerged as an innovative solution, integrating IoT devices, Edge Computing, and Artificial Intelligence (AI) for GIS-based plantation mapping. This system provides farmers with accurate information on land characteristics, crop requirements, planting season determination, and recommendations for fertilization and irrigation, and even predicts the risk of crop failure. This innovation is expected to increase agricultural productivity in a sustainable manner, optimize resource use, reduce waste, and significantly contribute to national food security and farmer welfare.