Judul: Pengembangan Sistem Irigasi Cerdas untuk Tanaman Padi Varietas IPB 3S pada Lahan Sawah 4.0 IPB Menggunakan Algoritme Fuzzy Sugeno
Abstrak: Sistem irigasi otomatis berbasis sensor merupakan salah satu aplikasi dari pertanian presisi. Sistem irigasi sawah saat ini masih banyak menggunakan metode irigasi konvensional yang boros air. Oleh karena itu, penelitian ini bertujuan mengembangkan sistem irigasi cerdas di lahan sawah percontohan 4.0 IPB berdasarkan informasi dari real-time sensors menggunakan algoritme Fuzzy. Penelitian ini terdiri dari tahapan pengembangan node sensor, pengembangan algoritme pengambil keputusan, integrasi dengan platform IoT, pengembangan node aktuator, dan pengujian akhir. Setelah dilakukan pengujian, sistem sudah berhasil mengambil data dari lingkungan dan menghasilkan keputusan dari algoritme pengambil keputusan dengan baik sesuai dengan basis aturan yang telah ditentukan. Sistem juga telah berhasil terhubung ke server Thinger.io dan kemudian menggerakkan aktuator dengan baik. Sistem dapat mengontrol jumlah air yang perlu disalurkan ke lahan namun belum bisa mengontrol tingkat air di lahan akibat faktor selain irigasi., Sensor-based automatic irrigation system is one of the applications of precision agriculture. Currently, the rice field irrigation system still uses conventional irrigation methods that waste water. Therefore, this study aims to develop a smart irrigation system in the pilot 4.0 IPB rice fields based on information from real-time sensors using Fuzzy algorithm. This research consists of the stages of sensor node development, decision-making algorithm development, connecting system to IoT platform , actuator node development, and final testing. After testing, the system has succeeded in taking data from the environment and producing decisions from the decision-making algorithm properly according to the predetermined rule base. The system has also successfully connected to the Thinger.io server and then moved the actuator well. The system can control the amount of water that needs to be distributed to the land but cannot control the water level in the land due to factors other than irrigation.
Keyword: Fuzzy Algorithm, IoT, Irrigation, Rice Field, Wireless Sensor Network

Judul: Pengembangan Sistem Kendali Irigasi Untuk Budidaya Padi Sri (System Of Rice Intensification) Yang Ramah Lingkungan
Abstrak: Pengembangan budidaya padi berkelanjutan di masa depan memiliki banyak tantangan dan salah satunya adalah masalah penyediaan air. SRI (system of rice intensification) merupakan salah satu metode yang mampu menjawab tantangan tersebut. Tujuan penelitian ini adalah mengembangkan sistem kendali fuzzy yang mengatur secara otomatis tinggi muka air di lahan untuk budidaya padi metode SRI dan melakukan evaluasi performa sistem kendali fuzzy untuk menghemat penggunaan air dengan mempertimbangkan pengaruh cuaca. Penelitian dilakukan di Cikarawang, Dramaga – Bogor, dari bulan Maret - September 2015. Sistem kendali dikembangkan dengan defuzzifikasi metode Sugeno dan microcontroller arduino uno. Pemantauan kondisi cuaca dan tanah dilakukan sepanjang musim tanam. Pada uji skala laboratorium seluruh hasil menunjukkan MAPE (mean absolute percentage error) < 25 %. Selanjutnya nilai tinggi muka air, air teraplikasi dan air yang terbuang dihitung berdasarkan skala lapang secara simulasi. Dari hasil penelitian ternyata sistem kendali mampu menghemat air 3-21% dibandingkan sistem tata air konvensional yang ditetapkan oleh petani.
Keyword: arduino, sistem kendali fuzzy, metode Sugeno, system of rice intensification, tinggi muka air

Judul: Distribution and Diversity of Ectoparasite Mites on Geckos in Indonesia
Abstrak: Data on the diversity and dispersal of parasitic mites on house geckos in Indonesia are very scarce. In this work, the distribution and diversity of mites living on three species of house geckos, namely Cosymbotus platyurus, Hemidactylus frenatus, and H. garnotii collected throughout Indonesia, has been elaborated. Geckos and mites were captured and immediately preserved in 70% ethanol. Whole mount of the mites was prepared by clearing in lactophenol followed by mounting on polyvinyl lactophenol solutions. The SEM preparation was conducted to examine the detail morphological characters of the mites. The results showed that among 448 individuals of geckos, 221 geckos were infected by Geckobia mites. Prevalences of C. platyurus, H. frenatus, and H. garnotii infested by mites were 14.8%, 50.69%, and 79.6%, respectively. Three different spesies of Geckobia (G1, G2, and G3) could be differentiated; and based on similarities of their morphological characters to ones described in published literatures, Geckobia G2 is Geckobia glebosum and Geckobia G3 is Geckobia bataviensis while G1 could not be identified to the species level. The highest mean intensity of Geckobia G1 infestation was found on H. garnotii (I=7.0), G. glebosum infestation on H. frenatus (I=3.5), and G. bataviensis infestation on H. garnotii (I=11.8). In general, C. platyurus was infested by the least number of mites. Geckobia G1 were found living on the skin folds on the claws, G. glebosum were found mainly on the body and thigh, and G. bataviensis were found on almost all parts of the host’s body. Geckobia mites are distributed randomly throughout Indonesian Archipelago, following the pattern of distribution of their hosts. So it is concluded that Geckobia G1, G. glebosum, and G. bataviensis are sympatric.
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