Claim Missing Document
Check
Articles

Found 2 Documents
Search

Penerapan Pengendali Suhu pada Proses Pasteurisasi Susu dengan Menggunakan Metode PID Ziegler-Nichols Setyawan, Hendra Putra; Fahruzi, Akhmad
Prosiding Seminar Nasional Sains dan Teknologi Terapan 2024: Menjembatani Energi Berkelanjutan dan Ekonomi Hijau melalui Transformasi Riset dan Teknologi T
Publisher : Institut Teknologi Adhi Tama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The milk pasteurization process is an effective method to eliminate pathogenic bacteria and extend the shelf life of milk. Based on the SNI 19-1502-1989 standard, pasteurized milk occurs at a temperature between 63 and 66 °C for at least 30 minutes (low temperature long time) or at 72 °C for at least 15 seconds (high temperature short time). Previous research has only studied one process, either HTST or LTLT, and compared the fuzzy, PI, and PID methods. This research shows the superiority of the PID method, which has been refined by previous studies and adopted as a method for the milk pasteurization process. It applied the PID method to two processes, HTST and LTLT, for milk pasteurization. The test results indicated that this system required only about ±1 hour and 7 minutes for both PID processes, compared to traditional methods. In addition, this system showed a performance comparison between the Ziegler-Nichols PID and Trial-Error methods in terms of rise time, delay time, overshoot, and steady-state error.
IMPLEMENTASI FUZZY LOGIC PADA PRODUKSI RESEP PEMBAGIAN KOPI Setyawan, Hendra Putra; Ahmad A, Emfa; Andi S, Arrizal; Muharror, Aunnurohman; Aryanto, Very; Mufti, Dalli; Yudit Laksono, Bagus; Setyo Pambudi, Wahyu
Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Vol. 6 No. 1 (2022): PROSIDING SEMINAR NASIONAL INOVASI TEKNOLOGI TAHUN 2022
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/inotek.v6i1.2447

Abstract

Coffee beans have diversity characteristic in aroma and taste, makes coffee a popular drink. Indonesia has many coffee beans producing areas, such as Flores coffee beans, Java coffee beans and Aceh Gayo coffee beans. Combine several coffee beans can produce processed coffee products with different quality flavors. To help from blending coffee blends, fuzzy logic can be used to determine the choice of coffee produced from several coffee bean blends. In this study, the use of the Fuzzy Mamdani method was carried out in a simulation using visual studio. Fuzzy Mamdani logic uses three stages to determine the quality of a mixture of several coffee beans. Fuzzy Logic is uses three stages to determine the quality of a mixture of several coffee beans. The three stages are fuzzification, interference engine, and defuzzification. From the fuzzification process, three coffee bean variables will be taken, for interference the engine will set the rules for the several coffee mixtures after which they will enter the defuzzification process. From the results of defuzzification will determine the expected coffee yield. Coffee products made from three coffee beans are coffee with light, medium and heavy flavor.