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Featured researches published by Rudiati Evi Masithoh.


Journal of Near Infrared Spectroscopy | 2016

Determination of soluble solids content and titratable acidity of intact fruit and juice of satsuma mandarin using a hand-held near infrared instrument in transmittance mode

Rudiati Evi Masithoh; Ron P. Haff; Sumio Kawano

Determination of soluble solids content (SSC) and titratable acidity (TA) of intact fruit and juice of satsuma mandarin was carried out using a hand-held near infrared instrument (“NIR-Gun”) in transmittance mode. The resulting calibration model measured SSC in intact fruit and juice with a standard error of prediction (SEP) of 0.33 °Bx and 0.42 °Bx, respectively. TA measurements yielded SEP values of 0.22% and 0.14% for intact fruit and juice, respectively.


Archive | 2017

Development of Plant Growth Monitoring System Using Image Processing Techniques Based on Multiple Images

Tri Wahyu Saputra; Rudiati Evi Masithoh; Balza Achmad

The research aimed at developing plant growth monitoring system based on image processing technique from images captured using multi-cameras (webcams). The output of the research was a monitoring system equipped with graphical user interface (GUI) to monitor the plant growth and nondestructively predict age and fresh weight of mustard (Brassica rapa var. parachinensis L.). Five webcams on five different positions were installed on the image-capturing box to capture the plant images every 3 days up to 48 days. Then, 1050 images of 70 plants on vegetative period resulted. Of these, 700 images were used for training and 350 images for validation. An artificial neural network (ANN) was used to predict age and weight of the plants. The network architecture consisted of four layers with five input neurons, first hidden layer with five neurons, second hidden layer with five neurons, and output layers with one neuron. Training function of ANN used was trainlm and learning rate value was 0.001. The activation function for predicting plant age and plant weight was logsig-logsig-tansig and logsig-tansig-tansig, respectively. ANN models could predict plant age with an R2 value of 0.96 and fresh weight with an R2 value of 0.95.


Jurnal Agritech Fakultas Teknologi Pertanian UGM | 2006

PENENTUAN DIMENSI TERONG JEPANG (Soalnum melongena L) DENGAN TEKNIK PENGOLAHAN CITRA SECARA WAKTU NYATA

Rudiati Evi Masithoh; Yodana S. Rachmadany; Balza Achmad

A real-time image processing technique was applied to determine the dimensions, i.e. length and width, of eggplants. Results showed that illuminations performed a significant role; the ideal illumination type for the experiment was TL lamp (fluorescent lamp), which was placed in perpendicular position toward conveyor. Meanwhile, the ideal eggplant-positions were longwise on the conveyor. Applying those kind of circumstances, a relationship between developed program and manual measurement of eggplant length and width showed linier equation, i.e. y = x and y = 0,99 x, respectively.


Agritech | 2018

Kinetika Reaksi Penurunan Kafein dan Asam Klorogenat Biji Kopi Robusta melalui Pengukusan Sistem Tertutup

Sapto Kuncoro; Lilik Sutiarso; Joko Nugroho Wahyu Karyadi; Rudiati Evi Masithoh


Agritech | 2017

Aplikasi Analisis Multivariat Berdasarkan Warna untuk Memprediksi Brix dan pH pada Pisang

Yohanita Maulina Akbar; Rudiati Evi Masithoh; Nafis Khuriyati


KnE Life Sciences | 2016

Identify Toxin Contamination in Peanuts Using the Development of Machine Vision Based on Image Processing Technique

Atris Suyantohadi; Rudiati Evi Masithoh


Jurnal Agritech Fakultas Teknologi Pertanian UGM | 2014

OPTIMALISASI PENGGUNAAN POMPA DALAM SISTEM IRIGASI DENGAN METODE ANALYTICAL HIERARCHY PROCESS DI DAERAH IRIGASI PACAL, KABUPATEN BOJONEGORO

Murtiningrum Murtiningrum; Rudiati Evi Masithoh; Meiana Wahyu Jatmiko


Archive | 2013

MODEL KINETIKA PERUBAHAN KUALITAS TOMAT SELAMA PENYIMPANAN Kinetics Model of Tomato Quality Changes During Storage

Rudiati Evi Masithoh; Budi Rahardjo; Lilik Sutiarso; Agus Harjoko


Jurnal Teknologi Pertanian | 2013

Kinetics Model of Tomato Quality Changes During Storage

Rudiati Evi Masithoh; Budi Rahardjo; Lilik Sutiarso; Agus Harjoko


Jurnal Agritech Fakultas Teknologi Pertanian UGM | 2013

MODEL JARINGAN SYARAF TIRUAN UNTUK MEMPREDIKSI PARAMETER KUALITAS TOMAT BERDASARKAN PARAMETER WARNA RGB (An artificial neural network model for predicting tomato quality parameters based on color)

Rudiati Evi Masithoh; Budi Rahardjo; Lilik Sutiarso; Agus Hardjoko

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