International Journal of Reconfigurable and Embedded Systems (IJRES) Vol. 14, No. 1, March 2025, pp. 176~183 ISSN: 2089-4864, DOI: 10.11591/ijres.v14.i1.pp176-183  176 Journal homepage: http://ijres.iaescore.com Design of agrivoltaic system with internet of things control for chili fruit classification using the neural network method Wanayumini 1 , Habib Satria 2 , Rika Rosnelly 3 1 Department of Informatic Engineering, Faculty of Engineering, Universitas Asahan, Kisaran, Indonesia 2 Department of Electrical Engineering, Faculty of Engineering, Universitas Medan Area, Medan, Indonesia 3 Department of Computer Science, Faculty of Engineering and Computer Science, Universitas Potensi Utama, Medan, Indonesia Article Info ABSTRACT Article history: Received Jul 29, 2024 Revised Sep 8, 2024 Accepted Sep 28, 2024 Agriculture is a leading sector in the economy as well as the most dominant provider of employment for the Indonesian people. The fertile soil factor allows various types of fruit to be grown, including chilies. However, complex problems make chili farmers have limitations in implementing conventional farming systems. Therefore, the development of an agrivoltaic system with internet of things (IoT) integrated sensors on chili plants can help farmers more easily control, add vitamins, fertilizers, and provide plant nutrients that can be done automatically periodically based on a real-time clock schedule. This system also operates using photovoltaic (PV) as a pumping machine for water circulation. Other technologies such as mini smart cameras are also being developed to monitor and take pictures of chilies which will later be converted using the graphical user interface (GUI) application for segmentation. The method used in this chili fruit classification uses an artificial neural network in classifying ripe, raw, and rotten chilies. The classification results obtained an R value of 0.9, which means it is close to a value of 1 in the suitability of the chili image. Therefore, farmers will find it easier to sort the chilies that will be harvested. Keywords: Agrivoltaic Chili fruit Control system Internet of things Neural network method This is an open access article under the CC BY-SA license. Corresponding Author: Habib Satria Department of Electrical Engineering, Faculty of Engineering, Universitas Medan Area Medan, North Sumatra, Indonesia Email: habib.satria@staff.uma.ac.id 1. INTRODUCTION The development of a smart agricultural system integrated with renewable energy should be able to be developed in Indonesia due to the geographical and climate conditions that support it [1], [2]. Fertile soil and adequate solar energy should help farmers export agricultural products and raw materials to other countries to support the achievement of farmers' welfare [3], [4]. However, the problem of inadequate technology has hampered agricultural productivity and of course has also had an impact on the decreasing number of young people pursuing this profession. Therefore, the development of systematic technology in farming should be able to stimulate the young generation and farmers to rise and compete again so that it becomes the choice of the young generation and farmers today in pursuing this agricultural work. Several modern agricultural systems have been developed today, including the agrivoltaic plant system [5]–[8]. This system operates by combining photovoltaic (PV) and agricultural technology systems on the same land [9], [10]. To support the advantages of the agrivoltaic system, this technology has also developed a model of nutrient-rich water media as a substitute for soil [11], [12]. The plants that will be implemented are chili plants which will also be developed in conditions that are resistant to disease and extreme weather [13]–[15]. Then the chili is planted using agrivoltaic which of course operates on all systems and is integrated with the