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

<span>The availability of stock in the chicken egg supply chain is influenced by the ability of egg Agents to determine the optimal orders to suppliers. The optimal number of orders is very important to manage for the Bogor City Egg Agent Indonesia because the stock capacity reaches 340 crates. The optimal number of orders for eggs at the Egg Agent is influenced by input variables, namely final stock (crate), selling price (crate), and consumer demand (crate) so that the inventory is under control. The three input variables have fuzzy values that must be processed using fuzzy logic to get the optimal number of orders to suppliers so that the egg stock in the warehouse is well maintained. The optimal order model for eggs in the smart application for egg agent (SAFEA) was developed using a fuzzy logic approach with the triangular and trapezoidal membership function. Based on the optimal order model in the SAFEA application, the optimal order to the supplier is 100-104 crates per day.</span>

This study aimed to present a Fuzzy logic approach in determining the value of OEE Superflex machine for producing nuggets. The effectiveness value of Superflex machine in producing nugget raw materials was determined by calculating the Availability, Performance and Quality Yield values. Fuzzy approach in determining the value of OEE can be used because this approach is able to describe the value of the effectiveness of thr machines based on the condition of the company's actual capacities. The Fuzzy OEE approach uses the Trapezoidal Membership Association because the maximum value of the membership degree has more than one value in each parameter. The Fuzzy OEE value shows that Superflex machine had an OEE value with bad parameters so that the company has to improve its machine performance

Pasar kemang merupakan salah satu pasar stimulus yang dimiliki Perumda Pasar Tohaga Kabupaten Bogor. Pasar kemang saat ini masih dalam tahap peramaian sehingga membutuhkan stimulus untuk menghadirkan konsumen untuk meningkatkan jumlah pembeli. Salah satu faktor yang dapat meningkatkan jumlah pembeli adalah stabilitas dari harga komoditi. Informasi harga komoditi kedepannya diperlukan oleh pihak manajemen untuk mempersiapkan kebutuhan sumberdaya di pasar. Kegiatan pelatihan aplikasi POM QM for Windows version 5.0 di Pasar Rakyat Kemang bertujuan untuk memberikan edukasi terkait penggunaan aplikasi untuk merencanakan harga jual komoditas kedepannya sehingga pihak manajemen pasar dan pedagang dapat bersinergi dalam mempersiapkan kebutuhan sumberdaya terkait dengan harga jual komoditas. Tahapan kegiatan pengabdian ini terdiri dari identifikasi kebutuhan, pelatihan penggunaan aplikasi dan evaluasi kegiatan pelatihan. Berdasarkan hasil pelatihan 10 orang pedagang dan manajemen pasar maka didapatkan peningkatan rata-rata nilai  pre-test sebesar 35 menjadi nilai post-test sebesar 77,5. Berdasarkan peningkatan nilai pre-test dan post-test diharapkan aplikasi ini dapat digunakan oleh pihak pasar tohaga didalam meramalkan harga jual komoditas sehingga pengambilan keputusan terkait kebutuhan sumberdaya dapat dikelola dengan optimal.

The embedded systems in the industrial, especially image processing, is increasingly leading to the study of production automation systems such as fruit sorting. Post-harvest sorting system implemented by the industry is manual, so it’s not effective. The solution was to conduct research aimed at modifying post-harvest sorting tools by engineering tomato and orange sorting machines based on their color. The method uses image processing. It’s the most efficient alternative in terms of cost and complexity of hardware design, does not require many sensors, but produces an accurate output. The camera is placed on the mechanical sorting machine system, taking images to determine the sorting execution after the fruit color type are recognized. The results of the research were carried out through several tests, namely: light intensity, color image data, and organoleptics. Light intensity test showed that the position of the tool had a value of 0.78% of the outside light disturbance. Color image shows the range of ripeness values (R/G) for raw tomatoes 0<=1.04; half ripe tomatoes 1.04<=1.39; ripe tomatoes 1.39<=3.59; raw orange 0<=0.92; undercooked oranges 0.92<=0.98; and ripe oranges 0.98<=1.66. Organoleptic test from five observers had the same results as the reading on the fruit sorting tool. Keywords : engineering, fruit maturity, oranges, sorting machines, tomatoes