Judul: Kajian Gejala Chilling Injury Terhadap Perubahan Mutu Buah Mangga Varietas Gedong Gincu Selama Penyimpanan Dingin
Abstrak: Low temperature storage is a common method to extend the self life and to maintain the quality of mango. However, low temperature storage may cause mango experience the chilling injury. Study on the chilling injury symptoms of mango stored under low temperature storage will be very important in order to understand better mathod to reduction of chilling injury. The objective of this study was to examine the chilling injury symptopms of mango fruits stored at 8, 13 °C and room temperature. Chilling injury symptoms was determined from the ion leagake which measured from the changes in the value of electric conductivity with time. The quality of mango during storage were evaluated from the changes in weight loss, respiration rate, colour, firmness, total soluble solid as well as organoleptic test. The result showed that mango fruits experienced chilling injury at days 4 at storage condition of 8°C. The chilling injury symptoms at days 4 was showed by the highest value of slope from graphic of total percentage of electric conductivity value with time. This phenomenon of chilling injury symptoms at 8°C was also indicated by quality parameter i.e respiration rate, weight loss, total soluble solid, change in colour, firmness and organoleptic test.
Keyword: 

Judul: Deteksi Gejala Kerusakan Dingin pada Buah Mangga Varietas Gedong Gincu (Mangifera indica, L.) yang Disimpan pada Suhu Rendah Menggunakan NIR
Abstrak: Low temperature storage is common method to maintain the self life of fruits. However, for some fruits, low temperature storage may cause chilling injury. Chilling injury will cause the quality of fruits becomes lower. Detection of chilling injury symtopms of fruits during storage at low temperature is important in order to minimize the effect of low temperature on the quality of fruits. Change in ion leakage of fruits during storage period is one of the method to predict the chilling injury symptoms. However, this method is destructive method and the measurement time is quite longer. Generally the objectives of this study was to determine the quality of mango fruit namely total soluble solid and firmness as indicator of chilling injury non destructively using NIR and artificial neural network. Experimental temperature storage was set at 8oC. During storage period, total soluble solid, NIR spectra, firmness and ion leakage was measured every 2 days. Ion leakage was calculated based on the data of changes on the electro conductivity of sample of mango.Chilling injury symptom was determined from the changes in slope obtained from linear regression equation. It was found that the highest slope was at days 4 with the value of 0.174. At days 4, the measurement of total soluble solid and firmness were 8.2 oBrix and 3.80 kgf respectively. Model of artificial neural network 11-10-1 was used to predict the total soluble solid and 11-8-1 for the firmness. The difference value of mean square error (MSE) calibration and validation was 2.85% with a coefficient of variation (CV) of 11.6% for calibration and 19.1% for validation. Prediction of firmnesss was 0.22 with a CV of 32% for calibration and 27.7% for validation. Model prediction of firmness was not good to be used because of the large CV resulted. Estimate value of model of monitoring fruit parameters after 4 days of storage was 11.9 oBrix for TPT and 0.40 kgf for firmness. The value indicated monitored fruits had already passed the phase of mature green so chilling injury symptoms could not be detected.
Keyword: 

Judul: Rendezvous Search Pada Garis Dengan Tiga Pemain
Abstrak: Pada suatu lapangan luas dengan lintasan kereta api melintasi seluruh daerah tersebut, tiga orang penerjun ditetjunkan. Mereka telah menyepakati sebelumnya untuk bertemu di I[ntasan kereta api tersebut, tetapi belum tahu letak yang sebenarnya untuk bertemu. PenCanan dilaknkan di sepanjang lintasan kereta api dan untuk memecahkan masalah ini digunakan rendezvous search pada garis.
Keyword: