Judul: Implementasi Algoritme Fuzzy Berdasarkan Suhu Udara dan Kelembapan Tanah pada Sistem Irigasi Tetes Otomatis (Studi Kasus: Tanaman Cabai (Capcisum annuum L.)
Abstrak: Tanaman cabai (Capsicum annuum L.) merupakan tanaman yang banyak diminati di Indonesia. Dalam proses pembudidayaannya, tanaman cabai sering kali mengalami gagal panen karena irigasi atau penyiraman yang tidak benar. Suhu dan kelembapan tanah adalah parameter yang berpengaruh dalam terhadap jumlah air yang dibutuhkan oleh tanaman dalam proses penyiraman. Tujuan penelitian ini adalah menerapkan logika fuzzy pada sistem irigasi tanaman cabai, sehingga berdasarkan parameter tersebut sistem diharapkan dapat mengatur penyiraman air sesuai kebutuhan cabai. Penelitian ini menggunakan sistem kendali fuzzy penalaran Sugeno yang diintegrasikan dengan mikrokontroler sebagai pengendali. Sistem diujikan pada tanaman cabai yang berlokasi di laboratorium internet of things for smart urban farming (iSurf Lab) Ilmu Komputer IPB University. Setelah empat hari pengujian, hasil penelitian menunjukkan pembacaan sensor kelembapan tanah setelah siram stabil pada keadaan optimal yaitu pada rentang 60%-80%. Hal tersebut menunjukkan bahwa sistem irigasi berhasil memberikan asupan air yang sesuai dengan kebutuhan cabai., Chilli plants (Capsicum annuum L.) is ond of high demand species in Indonesia. In the process of cultivation, chilli plants often fail to harvest due to improper irrigation. Soil temperature and humidity are parameters that determine the amount of water needed by plants in the watering process. This research aimed to apply fuzzy logic on the chilli plants irrigation system, so this system is expected to regulate watering due to the needs of chilli plant. This study used Sugeno fuzzy system that integrated with the microcontroller as a controller. The system was tested on chilli plants which located in the greenhouse of the iSurf Computer Science Lab of IPB University. After four days of testing, the results shows that the soil moisture sensor value after watering were stable at optimal conditions, that is between 60%-80%. It shows that the irrigation system has succeeded in regulating the watering in accordance with the needs of chilli plant.
Keyword: air temperature, chili, fuzzy logic, microcontroller, soil moisture

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: Toxoplasma Abortion and Perinatal Mortality As an Important Aspect In Sheep Prodution
Abstrak: Toxoplasma infection or toxoplamosis is caused bay a protozoan parasite, Toxoplasma gondil. The parasite accurs in human and in almost all species of warm-blooded animals. It is essentially an intracellular parasite which attacks most organs with a predilection for the reticulo-endothelial and central nervous system. There are three developmenttal stages of its life-cycle: The asexual development in reticulo-endothelial tissues, the cyst development in skaletel muscles and central nervous system and the sexual phases in the intestinal epithelium.
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