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All Journal JPF (Jurnal Pendidikan Fisika) Universitas Islam Negeri Alauddin Makassar Jurnal Fisika dan Terapannya
FITRIYANTI FITRIYANTI
UIN Alauddin Makassar
Education Physics Other

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ANALISIS NILAI ABSORBANSI UNTUK MENENTUKAN KADAR FLAVONOID DAUN JARAK MERAH (JATROPHA GOSSYPIFOLIA L.) MENGGUNAKAN SPEKTROFOTOMETER UV-VIS Ahriani Ahriani; Sri Zelviani; Hernawati Hernawati; Fitriyanti Fitriyanti
JFT : Jurnal Fisika dan Terapannya Vol 8 No 2 (2021): DESEMBER
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jft.v8i2.23379

Abstract

Research on Absorbance Value Analysis on Determination of Flavonoid Levels in Red Jatropha Leaves (Jatropha Gossypifolia L.) using UV-Vis Spectrophotometer has been conducted. This study aimed to determine the absorbance of red jatropha (Jatropha Gossypifolia L.) leaves on young and old leaves and to determine the flavonoid content of red jatropha (Jatropha Gossypifolia L.) leaves on young and old leaves. The sample used in this study was 200 g of red jatropha leaf powder (Jatropha Gossypifolia L.) with the addition of 2000 ml of 70% ethanol as solvent in a ratio of 1:10. The extraction method used in this study is the MAE (Microwave Assisted Extraction) method to measure the absorbance value of the sample at a wavelength of 436 nm using a UV-Vis spectrophotometer. The results showed that the absorbance value of red jatropha (Jatropha Gossypifolia L.) leaves on young leaves was smaller than on old leaves. Where the absorbance value in young leaves is 0.355 while the absorbance value in old leaves is 0.616. The resulting absorbance value has complied with Lambert-Beer's law (0.2 ≤ A < 0.8). The flavonoid content of red jatropha (Jatropha Gossypifolia L.) leaves in young leaves was lower than in old leaves. Where the levels of flavonoids in young leaves is 2.71% while the levels of flavonoids in old leaves is 4.90%. This shows that the greater the absorbance value, the greater the flavonoid content produced.
Aplikasi Jaringan Syaraf Tiruan Backpropagation dalam Prediksi Curah Hujan Bulanan di Kabupaten Wajo Sulawesi Selatan Fitriyanti Fitriyanti
JPF (Jurnal Pendidikan Fisika) Universitas Islam Negeri Alauddin Makassar Vol 11 No 1 (2023)
Publisher : Pendidikan Fisika UIN Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/jpf.v11i1.33142

Abstract

Prediction method is an estimate of what will happen based on data patterns obtained from an event that has passed. One method that can be used to predict is an artificial neural network (ANN). This study aims to determine the results of monthly rainfall by looking at the results of the validation value of the Backpropagation Neural Network method. Data processing using octave software. The results obtained in the form of graph patterns of predictions and actual data. Validation based on Root Square Mean Error (RMSE) using the Backpropagation method for the Sakkoli, Paria/Majennang and Anabanua rain posts has a value of 0.150., 0.107 and 0.024
Co-Authors Ahriani Ahriani HERNAWATI HERNAWATI Zelviani, Sri