Implementation of Fuzzy Logic in the Oven Temperature Control System and The Length of Time in The Baking Process for Nastar Products

This research focuses on the effect of oven temperature and roasting time on cookie products, especially Nastar, produced for specific events. The right temperature and roasting time will affect the quality and characteristics of Nastar that consumers will accept. A tool called fuzzy logic selects Nastar's optimal temperature and baking time. Fuzzy logic is a mathematical method that uses computer intelligence to determine Nastar's temperature and baking time. The data used in this research was obtained from previous research and then analyzed using the fuzzy logic method. The temperature variables used in this research are Low temperature (80, 100, 1200C), Medium temperature (110, 130, 1500C), and High temperature ( 140, 160, 1800C) and the roasting time variables are Short time (0, 0, 5, 10 minutes) and Longtime (10, 15, 20, 20 minutes). This research shows that the optimal temperature for Nastar is 1150C with a baking time of 18 minutes. This result is based on calculations carried out using the Matlab application.

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Publication Details

Journal
Journal of Applied Science Technology & Humanities
Published
2024-09-21
DOI
https://doi.org/10.62535/82f0j647
Primary Topic
Fuzzy Logic and Control Systems
Type
article
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article

Implementation of Fuzzy Logic in the Oven Temperature Control System and The Length of Time in The Baking Process for Nastar Products

Mrr. Lukie Trianawati, Nanda Octavia, Nadia Nur Azizah, Fiqri Nurfadillah et al.
Journal of Applied Science Technology & Humanities
Fuzzy Logic and Control Systems
article

Implementation of Fuzzy Logic in the Oven Temperature Control System and The Length of Time in The Baking Process for Nastar Products

Mrr. Lukie Trianawati, Nanda Octavia, Nadia Nur Azizah, Fiqri Nurfadillah, Ester Angeline, Ghaisya Raihana, Dinda Ayu Prameswari, Agus Miftah Nur Rizqi, Dennaya Mustika, Viska Putri Prisillia, Gita Khaerunnisa, Mutiara Vania Hesti, Hanan Luthfan Hafizh, Nisrina Mutiara Anandha, Aidil Hidayat, Muhammad Danang Mukti Darmawan, Rini Yuni Sara Situmorang
article en

Abstract

This research focuses on the effect of oven temperature and roasting time on cookie products, especially Nastar, produced for specific events. The right temperature and roasting time will affect the quality and characteristics of Nastar that consumers will accept. A tool called fuzzy logic selects Nastar's optimal temperature and baking time. Fuzzy logic is a mathematical method that uses computer intelligence to determine Nastar's temperature and baking time. The data used in this research was obtained from previous research and then analyzed using the fuzzy logic method. The temperature variables used in this research are Low temperature (80, 100, 1200C), Medium temperature (110, 130, 1500C), and High temperature ( 140, 160, 1800C) and the roasting time variables are Short time (0, 0, 5, 10 minutes) and Longtime (10, 15, 20, 20 minutes). This research shows that the optimal temperature for Nastar is 1150C with a baking time of 18 minutes. This result is based on calculations carried out using the Matlab application.

Journal of Applied Science Technology & HumanitiesVol. 1(4)
IPB University (ID)
Openalex Percentile: Top 86%
Fuzzy Logic and Control Systems
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Implementation of Fuzzy Logic in the Oven Temperature Control System and The Length of Time in The Baking Process for Nastar Products — Mrr. Lukie Trianawati, Nanda Octavia, et al. · Journal of Applied Science Technology & Humanities (2024) | TGRS Research Map | TGRS