Sejak tahun 2016 telah dikembangkan teknologi deteksi sumber daya secara akustik yang relatif sederhana dan mutakhir, yaitu teknologi Penginderaan Jauh Pandu Gelombang Akustik Kelautan (Ocean Acoustic Waveguide Remote Sensing). Teknologi akustik dapat mendeteksi sumberdaya kelautan secara berkesinambungan tanpa merusak lingkungan. Teknologi akustik berguna untuk monitoring dan kuantifikasi target bawah air seperti sumber daya laut dan lingkungan yang dapat dilakukan secara terus menerus, berkelanjutan, in-situ, real time, berbiaya yang murah, dan tidak memerlukan jumlah tenaga kerja yang banyak. Penelitian ini merekayasa teknologi Penginderaan Jauh Akustik Kelautan untuk mendeteksi jarak propagasi sinyal. Langkah yang dilakukan pada penelitian ini adalah merekayasa sistem perangkat akustik seperti transmitter dan receiver berdasarkan sensor tranduser pengirim TR-103 dan tranduser penerima Benthos Aq-1. Berdasarkan hasil pengujian, rancangan transmitter dan receiver telah sesuai dengan spesifikasi besaran piezoelektrik yang terukur. Hasil pengujian pada laut terbuka di Kepulauan Seribu menunjukkan jarak deteksi propagasi sinyal transmitter sampai ke receiver mencapai 100 m.

A greenhouse is an agricultural management system that has shown the efficiency of food production. This system is an effective alternative to ensure maximum production results. Agriculture with greenhouse technology can create the desired environmental/climatic conditions. The rapid development of technology and science has led to the birth of communication between devices using IoT and AI. This technology can be applied to greenhouses in agriculture and fisheries. Research on greenhouse and microcontroller-based automation systems has been carried out, and it is interesting to be developed. Researchers make a more efficient system and can increase the quality and quantity of production. The measurement data of both modes are monitored using the web. The greenhouse prototype is supported by DHT22, DS18B20, a fan to control the greenhouse cooler, RFID as the key access to the greenhouse. DHT22 & DS18B20 sensor readings in the prototype greenhouse use an AI system with the fuzzy method. IoT and AI have been successfully implemented in models of rice fields, hydroponic farming, and fisheries using automatic modes of RTC devices and sensors. The fuzzy approach method is used to find the optimum temperature and humidity values. The fuzzy approach was successfully carried out until the temperature and humidity conditions were "ideal," "high," and "very high." This condition provides information to the microcontroller to activate which fan should turn on. In manual mode, the smartphone application controls the system properly.   Keywords: artificial intelegent, control and automation, fuzzy logic, greenhouse, IoT

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Several marine research have attempted to design a data observation system using Internet of Things (IoT). In the future, this system is predicted to become a necessity for marine researchers as a strategic technology to continuously access data. Therefore, this study provides information on the development and application of observation and data collection systems using IoT. The coastal weather and tidal data were obtained via the automatic coastal weather station and acoustic gauge respectively. Meanwhile, the various research activities commenced in July, 2018. In the first year, an operational observation system was developed, while comprehensive baseline data such as air temperature, humidity, wind speed, and sea surface level were also collected. This collection system is reliable, provides real-time data, and easily accessible with internet connection. Furthermore, the Bintan Marine Observation System (The Bintan MOS) is also suitable for other uses such as; monitoring water quality and marine mammals, as well as disaster mitigation. The adoption of this system by other sectors potentially conditions marine researchers for data exchange, to fully understand the fluctuations in coastal weather of Western and Eastern Indonesia as well as the tropical and sub-tropical marine weather. This study successfully developed the Bintan MOS, capable of providing reliable information both off-line and real-time.Keywords:Marine observation systemCoastal weatherTidalBintan

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