Publikasi Dosen
ISI PIRINGKU DIETARY MEAL PROPORTION ESTIMATOR APPLICATIONS USING SEEFOOD IMAGE
Isi Piringku or My Meal Dish Content was a program initiated by the Indonesian ministry of health to promote a
healthy daily lifestyle consisting of balanced dietary, enough hydration, active lifestyle, cleanliness and body weight
control. The balanced diet meal was supposed to consist of ⅓ of main dish intake, ⅓ of vegetable intake, ⅙ of fruit
intake and ⅙ of protein intake every time. This introduces some difficulty that every meal must be measured to
align with the dietary guidelines. This study targets estimating the meal diet proportion by its visual cues using
smartphone application. While the actual meal content dietary division was weight based, for sake of simplicity the
proportion in this study was estimated by each food area which roughly correlates to its volume. Using smartphone
cameras in Android 9 Operating Systems and Tensorflow Lite SeeFoods: Mobile Food Segmentation v1.0 module, an application was built to help users estimate their meal balances proportion. The original segmentation criterion
was constructed using USDA dietary guidelines and it was reduced to only 4 food groups related to Isi Piringku
criterion. Suggestion will be given regarding the segmentation result. The result was that the application was capable
of estimating the meal diet proportion and giving suggestions based on the segmentation result. The segmentation
accuracy was around 87% when tested on our prepared dish. On average, the time needed to apply the segmentation
process was around 3000 milliseconds on a Snapdragon 835 device. Keywords— isi piringku, tensorflow image segmentation, dietary suggestion application
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