Rancang Bangun Sistem Pengendalian Kecepatan Putaran Pada Spinner Peniris Minyak Berbasis Fuzzy Logic

Dewi, Shintyana (2025) Rancang Bangun Sistem Pengendalian Kecepatan Putaran Pada Spinner Peniris Minyak Berbasis Fuzzy Logic. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Proses penirisan minyak merupakan tahap penting dalam produksi keripik pisang karena minyak berlebih memengaruhi kualitas produk, seperti rasa, tekstur, dan masa simpan. Penelitian ini merancang sistem kontrol kecepatan pada spinner peniris minyak berbasis fuzzy logic untuk meningkatkan efisiensi penirisan. Plant spinner ini dibuat dari material stainless steel food grade dengan dimensi 53 cm x 47 cm x 35 cm, dilengkapi sistem kontrol berbasis fuzzy logic. Spinner juga dilengkapi dengan sensor ultrasonik HCSR-04 dengan nilai error sebesar ±1.06% dan akurasi ±98.94%, serta sensor TCRT5000 dengan nilai error ±0.26% dan akurasi ±99.74% untuk mendeteksi massa keripik pisang. Input berupa jenis pisang (Pisang Nangka, Kepok, Ambon) dipilih melalui keypad, dengan output kecepatan motor yang diklasifikasikan menjadi lambat, sedang, dan cepat. Hasil pengujian pada 200 gram Pisang Kepok menunjukkan bahwa sistem fuzzy logic menghasilkan pengurangan minyak sebesar 9.3 gram, sedangkan metode konvensional hanya sebesar 0.3 gram. Dengan durasi tetap 60 detik, metode spinner mampu mengurangi massa akibat penirisan minyak hingga 7.7-30.4 gram tergantung pada jenis pisang dan massa awal, jauh lebih besar dibandingkan metode konvensional yang hanya menghasilkan penurunan massa rata-rata 0.3-2.5 gram. Dari hasil penelitian, sistem kontrol berbasis fuzzy logic pada rentang massa 100-300 gram menunjukkan akurasi 81.57%, sedangkan pada rentang 400-500 gram akurasi menurun menjadi 47.03%. Dalam rentang 400–500 gram, peningkatan kecepatan motor cenderung meningkatkan getaran, yang dapat memengaruhi hasil pembacaan sensor. Namun, di luar rentang tersebut, hubungan antara kecepatan dan hasil pengukuran tetap linear.
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The oil draining process is an important stage in the production of banana chips as excess oil affects product quality, such as flavor, texture, and shelf life. This study designed a speed control system for a fuzzy logic-based oil draining spinner to improve the efficiency of draining. This spinner plant is made of food grade stainless steel material with dimensions of 53 cm x 47 cm x 35 cm, equipped with a fuzzy logic-based control system. The spinner is also equipped with HCSR-04 ultrasonic sensor with error value of ±1.06% and accuracy of ±98.94%, and TCRT5000 sensor with error value of ±0.26% and accuracy of ±99.74% to detect the mass of banana chips. Input in the form of banana type (Pisang Nangka, Kepok, Ambon) is selected via keypad, with the output motor speed classified into slow, medium, and fast. Test results on 200 grams of Kepok Banana showed that the fuzzy logic system resulted in an oil reduction of 9.3 grams, while the conventional method only amounted to 0.3 grams. With a fixed duration of 60 seconds, the spinner method is able to reduce the mass due to oil draining up to 7.7-30.4 grams depending on the type of banana and the initial mass, much greater than the conventional method which only produces an average mass reduction of 0.3-2.5 grams. From the research results, the fuzzy logic-based control system in the mass range of 100-300 grams shows an accuracy of 81.57%, while in the range of 400-500 grams the accuracy decreases to 47.03%. In the 400-500 grams range, increasing motor speed tends to increase vibration, which can affect sensor readings. However, beyond this range, the relationship between speed and measurement results remains linear.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Fuzzy Logic, Kontrol Kecepatan, Spinner, Fuzzy Logic, Speed Control, Spinner.
Subjects:	Q Science > QA Mathematics > QA9.64 Fuzzy logic T Technology > T Technology (General) > T11 Technical writing. Scientific Writing T Technology > T Technology (General) > T57.74 Linear programming T Technology > TJ Mechanical engineering and machinery > TJ213 Automatic control. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2785 Electric motors, Induction. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK3070 Automatic control T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5102.9 Signal processing.
Divisions:	Faculty of Vocational > Instrumentation Engineering
Depositing User:	Shintyana Dewi
Date Deposited:	01 Aug 2025 07:49
Last Modified:	01 Aug 2025 07:49
URI:	http://repository.its.ac.id/id/eprint/124704

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