Automation system hydroponic is one of the farming solution. There are several problems in hydroponic that can be divided into two parts. First part is the hydroponic system. The system needs to control and monitor temperature, pH and distribution of water. Second part is the power supply, generally it run from conventional electrical energy and it should continue to run all the time. Electrical energy needs is increasing from time to time. In this research, there are two possible solutions to solve the problem. The first possible solution is the automation for hydroponics system that would measure and control temperature, pH and water level in water tank. The second possible solution is smart solar power plant unit which function as primary power supply and will shift to conventional electrical energy if there is no adequate energy to run the automation for hydroponics system. The smart solar power plant unit monitor the intensity of light, voltage and electrical current between battery and DC to AC converter and the voltage that produced from solar panel. The value of temperature, pH and water level in water tank, intensity of light, electrical current and voltage will be sent to a server by wireless communication. The result of this research is a prototype of automation system hydroponic using smart solar power plant that can monitor and control pH, temperature, water level, intensity of light, electrical current and voltage.

Penelitian ini mendesain sebuah protoype alat pemilah barang berdasarkan warna menggunakan sensor warna TCS3200. Sistem mengindentifikasi 5 warna yaitu warna merah, hijau, biru, putih, dan hitam. Lima motor digunakan untuk untuk setiap wrna. Setiap motor diaktifkan oleh warna tertentu. Satu motor DC juga digunakan untuk menggerakan conveyor yang digunakan untuk meletakkan benda yang akan diidentifikasi oleh sensor warna. Pada penelitian ini disusun desain mekanik dan elektronik untuk pemilah barang menggunakan sensor warna TCS3200, motor driver dan motor DC. Alat pemilah ini dapat memilah barang dengan arna merah, hijau, biru, hitam, dan putih, Hasil pengujian menunjukkan bahwa warna object dapat diidentifikasi oleh sensor warna dengan kisaran warna yang ditentukan dan mengaktifkan motor servo tertentu

Tomatoes are a popular vegetable in Indonesia, where production increases every year according to market demand. The large production requires proper post-harvest handling both in quality and time. It has been well-known that sorting and grading are the first and foremost processes in the post-harvest process of tomatoes. Sorting tomatoes can be conducted by color and adjusted to the target market. The automation process in the post-sorting and grading process can save time and resources. This research proposes a sorting system that sorts tomatoes based on color, size, and weight. Tomatoes are sorted by red, yellow, and green colors. The detection of color and size was carried out by image processing with the OpenCV library. The color detection was carried out by HSV's red, yellow, and green values. In comparison, the dimensional measurement was carried out by determining the outermost point of the detected object both vertically and horizontally. At the same time, tomatoes' weight was measured by a weight sensor. This system was implemented into a prototype sorting system with a webcam, Arduino, a conveyor, and motors. The final part was a storage box used to accommodate tomatoes based on grading. The implementation has the maximum results for detecting color with 100% accuracy and measuring weight with 95% accuracy. However, it still needs development for dimensional measurements. In this research, it has only 5% accuracy. This proposed system can be used both in software and hardware design as an inline tomato sorting tool.

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