Implementation of Fuzzy Logic in Stabilizing Temperature and Humidity in Freeze Dryers for Dried Apple

Ghassan Rafananda Raja Harahap (IPB University)
Shafira Fayza Dewani Sudiro (IPB University)
Rayna Suci Alifah (IPB University)
Salsabila Salsabila (IPB University)
Ade Trisna Iswanda (IPB University)
Xaviera Yasmin Azahra (IPB University)
Ghina Khairunnisa Putri (IPB University)
Syifa Az Zahra (IPB University)
Hidayat Faiz Sanjaya (IPB University)
Izharul Haq Ar Rafi (IPB University)
Aisyah Sakha Damarjati (IPB University)
Enjela Rahmawati (IPB University)
Nanda Octavia (IPB University)
Ester Angeline (IPB University)
Muhammad Danang Mukti Darmawan (IPB University)
Fiqri Nurfadillah (IPB University)
Mrr Lukie Trianawati (IPB University)

Journal of Applied Science, Technology & Humanities
Vol. 1 No. 4 (2024): September 2024

Freeze drying is a process to remove water from a material by sublimation, in the form of ice under low pressure. This process is used to stabilize food, and pharmaceutical products. During the process, the dried product maintains its quality, including biological, nutritional, and sensory properties, because freezing the water within the material before lyophilization prevents chemical, biochemical, and microbiological reactions. The aim of this research is to determine the optimal temperature and time to produce good products in the freeze drying process. The method used for this article is the literature study and observation method. This research uses manual calculations which are then implemented in a control system using a fuzzy logic algorithm in the Matlab application. In conclusion, both the manual calculation results and the matlab calculations that have been conducted are the same, which confirms the accuracy and validity of the preceding calculations.