title: RANCANG BANGUN ALAT DETEKSI CEPAT KANDUNGAN ASAM  LEMAK BEBAS KELAPA SAWIT MENGGUNAKAN PH METER DAN    TURBIDITY METER
creator: Akhmad , Asrho Berlian Abimanyu
subject: 630 Pertanian dan teknologi yang berkaitan
description: Kadar Asam Lemak Bebas (ALB) yang tinggi pada CPO bisa sangat merugikan  karena dapat menyebabkan penurunan rendemen. Tujuan penelitian ini adalah  Merancang alat portabel deteksi cepat kandungan Asam Lemak Bebas (ALB),  Menganalisis hubungan pH dan turbidity yang terkandung di dalam CPO dengan  kandungan ALB. Metode penelitian ini yaitu jaringan saraf tiruan tipe  backpropagation. Alat deteksi cepat kadar asam lemak bebas telah berhasil  dirancang dengan komponen utama yaitu mikrokontroler Arduino Uno,  Potensiometer, LCD, dan I2C. Komponen-komponen tersebut dimasukkan ke  dalam kotak yang memiliki ukuran 18,5 cm x 6,5 cm x 11.5 cm. Proses  pengembangan jaringan saraf tiruan menghasikan prediksi terbaik dengan fungsi  aktivasi logsig-tansig-tansig. Nilai RMSE dan nilai koefisien determinasi (R2  )  dari hasil pelatihan model Jaringan Saraf Tiruan (JST) ialah 0,9571 dan 0,8447  atau sebesar 84,47%, sedangkan pada pengujian model JST nilai RMSE dan R2  yang diperoleh sebesar 0,5892 dan 0,9541 atau sebesar 95,41%. Hasil pelatihan  dan hasil pengujian menghasilkan logsig-tansig-tansig sebagai fungsi aktivasi  terbaik.  Kata kunci : Crude Palm Oil, Asam Lemak Bebas, Jaringan Saraf Tiruan  DESIGN OF A RAPID DETECTION TOOL FOR PALM OIL FREE FATTY  ACID CONTENT USING A PH METER AND TURBIDITY METER    By    Akhmad Asrho Berlian Abimanyu    High levels of Free Fatty Acid (ALB) in CPO can be very detrimental because it  can cause a decrease in yield. The objectives of this study are to design a portable  tool for rapid detection of Free Fatty Acid (ALB) content, analyze the relationship  between pH and turbidity contained in CPO with Free Fatty Acid content and  build an Artificial Neural Network Architecture to predict the FFA content of  CPO and analyze the ease of use and attractiveness of a portable tool for rapid  detection of FFA content. This research method is a backpropagation type  artificial neural network. The rapid detection of free fatty acid content has been  successfully designed with the main components of the Arduino Uno  microcontroller, Potentiometer, LCD, and I2C. The components are put into a  box that has a size of 18.5 cm x 6.5 cm x 11.5 cm. The artificial neural network  development process produces the best prediction with logsig-tansig-tansig  activation function. The RMSE value and the coefficient of determination (R2  ) of  the training results of the Artificial Neural Network (JST) model are 0.9571 and  0.8447 or 84.47%, while in testing the JST model the RMSE and R2  values  obtained are 0.5892 and 0.9541 or 95.41%. Training results and test results  produce logsig-tansig-tansig as the best activation function.  Keywords: Crude Palm Oil (CPO), Free Fatty Acid, Artificial Neural Network.
publisher: FAKULTAS PERTANIAN
date: 2024-05-29
type: Skripsi
type: NonPeerReviewed
format: text
identifier: http://digilib.unila.ac.id/82714/1/Abstrak-Akhmad%20Asrho%20B.A-1914071048-TEP%20-%20Akhmad%20Asrho.pdf
format: text
identifier: http://digilib.unila.ac.id/82714/2/Skripsi%20full-Akhmad%20Asrho%20B.A-1914071048-TEP%20-%20Akhmad%20Asrho.pdf
format: text
identifier: http://digilib.unila.ac.id/82714/3/Skripsi%20tanpa%20pembahasan-Akhmad%20Asrho%20B.A-1914071048-TEP%20-%20Akhmad%20Asrho.pdf
identifier:   Akhmad , Asrho Berlian Abimanyu  (2024) RANCANG BANGUN ALAT DETEKSI CEPAT KANDUNGAN ASAM LEMAK BEBAS KELAPA SAWIT MENGGUNAKAN PH METER DAN TURBIDITY METER.  FAKULTAS PERTANIAN, UNIVERSITAS LAMPUNG.     
relation: http://digilib.unila.ac.id/82714/