Wireless Sensor Network for Monitoring Rice Crop Growth

For continuous observation of rice plants on the influence of climate on rice plants in the vegetation stage, reproductive stage, the ripening stage through measuring pH, temperature, soil moisture using Wireless Sensor Network (WSN) technology. The purpose of this study is to monitor the influence of climate on the growth of rice plants with Wireless sensor network (WSN) technology, then proposed the design and implementation of zigbee platform and Arduino-based WSN with observation methods including monitoring indicator changes for each sensor node, distance parameters, delay parameters for each growth rice. WSN performance testing through RSSI (receive signal strength indicator) parameters between end devices and coordinators through the XCTU software application is carried out at each stage of rice growth. Test results at a distance of 100 meters obtained the average value of RSSI at the vegetative stage of -80.40 dBm, at the reproductive stage of -83.72 dBm, and at the Ripening stage of -84.44 dBm. Testing the WSN implementation using cluster tree topology is done at different times. The test is carried out between sensor nodes to the coordinator node in the cluster tree topology in different areas. The measurement results of data transmission delay is 312ms for an area of 1 hectare of rice at 120 days of rice with 7 units of nodes. Furthermore, with the number of 7 units of nodes, 376ms is obtained for rice fields with an area of 2 hectare, at 120 days of rice. The results of the WSN implementation experiment on a 2 hectare rice farming area can provide real-time information so as to contribute to agriculture when climate conditions change or sudden pest attacks that have an impact on rice crop productivity and food security. Keywords: WSN, Zigbee Platform, Arduino, Topologi cluster tree, RSSI

Sistem Monitoring Peternakan Ayam Broiler Berbasis Internet of Things (IoT)

In this study, the author made a monitoring system for dangerous gas levels, temperature and humidity in the chicken coop. This system can inform air quality in the form of ammonia gas, methane gas, temperature and humidity contained in the chicken coop and provide readings of gas data that are considered dangerous, unstable temperature and humidity to workers in the chicken coop and can be viewed on a platform basis. The system generally consists of two sensors, namely the DHT11 sensor to detect temperature and humidity in the chicken coop, and the MQ135 sensor to detect ammonia gas levels in the chicken coop, and connect to the internet network through the ESP8266 module with the Arduino Mega 2560 microcontroller which aims to upload data sensors to the Firebase web and displayed in graphical form as a means of information on the chicken coop. The test is carried out in three stages, namely connectivity, functionality, and delay. The connectivity test proves that ESP8266 can be connected to Access Points and internet networks, functionality tests prove that sensors can read gas, temperature and humidity and retrieve data. And lastly is testing delay, which is counting the length of the process from the beginning of sensor reading to data up to Firebase's Internet of Things (IoT) -based web. From the results of calculations that have been done in testing, it was found that the time needed for one shipment takes as much as 5-19 seconds. Of course, this time can change because there are aspects that can inhibit internet connection, the number of devices connected to an internet network, but the purpose of this research has been completed with what was expected. Keywords : Hazardous Gas, Temperature and Humidity, Gas Sensors and Temperature and Humidity Sensors, Firebase.Pada penelitian ini, penulis membuat sistem monitoring kadar gas berbahaya, suhu dan kelembaban pada kandang ayam. Sistem ini dapat menginformasikan kualitas udara berupa kadar gas amonia, gas metana, suhu dan kelembaban yang terkandung pada kandang ayam dan memberikan pembacaan data gas yang dianggap berbahaya, suhu dan kelembaban yang tidak stabil ke pekerja pada kandang ayam dan dapat dilihat secara flatform. Sistem secara umum terdiri dua buah sensor, yaitu sensor DHT11 untuk mendeteksi suhu dan kelembaban pada kandang ayam, dan sensor MQ135 untuk mendeteksi kadar gas amonia pada kandang ayam, dan terhubung ke jaringan internet melalui modul ESP8266 dengan mikrokontroler Arduino Mega 2560 yang bertujuan untuk mengupload data sensor ke web Firebase dan ditampilkan dalam bentuk grafik sebagai sarana informasi pada kandang ayam. Pengujian dilakukan dengan tiga tahap yaitu konektivitas, fungsionalitas, dan delay. Uji konektivitas membuktikan bahwa ESP8266 dapat terhubung ke Acces Point dan jaringan internet, uji fungsionalitas membuktikan bahwa sensor dapat membaca gas, suhu dan kelembaban dan mengambil data. Dan terakhir adalah pengujian delay, dimana adalah mrnghitung lama proses dari mulai awal pembacaan sensor hingga data sampai di web berbasis Internet of Things (IoT) Firebase. Dari hasil perhitungan yang sudah dilakukan dalam pengujian, didapatkan bahwa waktu yang dibutuhkan untuk satu kali pengiriman membutuhkan waktu sebanyak 5-19 detik. Tentunya waktu tersebut dapat berubah karena terdapat aspek-aspek yang bisa menghambat koneksi internet, banyaknya perangkat yang terhubung pada suatu jaringan internet, namun tujuan penelitian ini sudah selesai dengan apa yang diharapkan. Kata kunci : Gas Berbahaya, Suhu dan Kelembaban, Sensor Gas dan Sensor Suhu dan Kelembaban, Firebas

CNN-BASED ARTIFICIAL INTELLIGENCE (AI) IMPLEMENTATION TO IDENTIFY BASMATI RICE IN SUBANG DISTRICT

The existence of Basmati rice among the upper middle class in Indonesia is increasingly popular. Unfortunately, this rice is only grown in northern India and Pakistan. Fulfillment of rice must be imported and the price in Indonesia is relatively expensive. Responding to this phenomenon, the Center for Rice Research (BB Padi), the Agricultural Research and Development Agency succeeded in assembling a special rice variety Basmati. And given the name Baroma, an abbreviation of type Basmati Aromatic rice. And Baroma rice was launched in Subang in 2019 until now it has been recorded that several agricultural lands in Subang have planted this type. The more types of rice varieties, the more types of rice will be found. So that it will make consumers difficult to distinguish between types of rice with one another. Therefore, we need a solution to overcome this problem. And one solution that can be used is to use AI technology, as in the research we did. Using the CNN algorithm produces very good accuracy for detecting types of rice such as the type of data used for training data and test data. From the results of the model training carried out, it produces an accuracy rate of 98,52% while model testing to see how well the model predicts the label correctly is 97,80%

BANTUAN TEKNIK DAN PERENCAAAN PEMBIAYAAN REVITALISIASI PEMBANGKIT LISTRIK TENAGA MIKRO HIDRO KAMPUNG BUNIKASIH DESA BUKANAGARA KECAMATAN CISALAK

Bunikasih Rural community and the Faculty of Engineering at the University of Subang took the initiative to build the Bunikasih Micro Hydro Power Plant (MHP) in 2013, with financial support from CRS BNI Go Green. The Bunikasih MHP is situated in the Bunikasih area of Cupunagara Village, Cisalak District, Subang Regency, West Java Province, Indonesia. The Bunikasih MHP was initially utilized to supply electricity for the Bunikasih Rural community, which at the time was off grid. In 2018, an earthquake occurred therefore it made MHP Bunikasih malfunctioning. The Engineering Faculty team and the Bunikasih community undertook Focus Group Discussion/FGD activities prior to the MHP Bunikasih damage survey. The results of the FGD activities are the revitalization of the Bunikasih MHP so that it can operate again. It was also proposed that MHP Bunikasih is to be utilized to support the increase in the processing of agricultural production. The survey revealed that Bunikasih MHP suffered heavy damage. The channel was cracked and broken. The penstocks was bent. The roof of the turbine house was collapsed. The generator and electrical controls were fried. Damage to civil buildings can be repaired by making a new building structure in the damaged part. The bent pen stock is repaired by cutting the bent part and replacing it with a new pipe. A new roof is installed to the turbine house. The generator and control system are fixed and new components are installed. In general, all components of the Bunikasih MHP that were damaged can be repaired and revitalized. The cost for the revitalization is Rp. 213,700,000.00