International Journal of Electrical and Computer Engineering (IJECE) Vol. 12, No. 5, October 2022, pp. 5467~5480 ISSN: 2088-8708, DOI: 10.11591/ijece.v12i5.pp5467-5480  5467 Journal homepage: http://ijece.iaescore.com Smart agriculture for optimizing photosynthesis using internet of things and fuzzy logic Abdul Latief Qohar 1 , Suharjito 2,3 1 Computer Science Department, Binus Graduate Program-Master of Computer Science, Bina Nusantara University, Jakarta, Indonesia 2 Computer Science Department, Binus Online Learning, Bina Nusantara University, Jakarta, Indonesia 3 Industrial Engineering Department, Binus Graduate Program-Master of Industrial Engineering, Bina Nusantara University, Jakarta, Indonesia Article Info ABSTRACT Article history: Received May 9, 2021 Revised May 19, 2022 Accepted Jun 2, 2022 Photosynthesis is a process that plants need. Plant growth requires sunlight to carry out photosynthesis. At night photosynthesis cannot be carried out by plants. This research proposes an internet of things (IoT) model that can work intelligently to maximize photosynthesis and plant growth using fuzzy logic. The plants used in this research are mustard plants because mustard plants are plants that have broad leaves and require more photosynthesis. The outputs of this proposed model are the activation of light emitting diodes (LED) lights and automatic watering based on input sensors such as soil moisture, temperature, and light intensity which are processed with fuzzy logic. The results show that the use of the IoT model that has been proposed can provide faster and better growth of mustard plants compared with mustard plants without an IoT system and fuzzy logic. This result is also strengthened by comparing the t-test between the two groups, with a significant 95% confidence level. The proposed model in this research is also compared with similar research models carried out previously. This research resulted in a plant height difference of 30.43% higher than the previous research. So, it can conclude that the proposed model can accelerate the growth of mustard plants. Keywords: Fuzzy logic Internet of things Photosynthesis optimization Smart agriculture This is an open access article under the CC BY-SA license. Corresponding Author: Suharjito Computer Science Department, Binus Online Learning, Bina Nusantara University Jakarta-10480, Indonesia Email: suharjito@binus.edu 1. INTRODUCTION The agriculture sector is a critical sector considering the primary food needs of vegetables which have a total requirement of 7.12% of the real needs of the Indonesian population in 2018 [1]. Vegetables rank fourth after fast food, cigarettes, and rice [1]. Based on data from the Central Statistics Agency of Indonesia, the Indonesian population only consumes 43% of the recommended vegetables. It is necessary to increase fruit and vegetable production if the Indonesian people have to eat vegetables and fruit as recommended. One of the problems of the lack of vegetable consumption in the communities is that vegetable production has not been maximized, so current production cannot meet the needs of vegetables in the communities. Economic factors also affect people’s purchasing power of vegetables. Poor people buy and consume fewer vegetables [2], agriculture is also the primary source of income for some people [3], [4]. There is a need for innovation to overcome less than optimal vegetable production problems, resulting in less vegetable consumption than recommended.