Isi Piringku Dietary Meal Proportion Estimator Applications using SeeFood Image Segmentations
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Published:
Dec 22, 2021
Keywords:
isi piringku, tensorflow image segmentation, dietary suggestion application
Main Article Content
Abstract
Isi Piringku atau 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 carbohydrate 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. Although, the volume of the meal food groups estimated was still low on accuracy. This was correlated with the accuracy level of the segmentation module that was used. On average, the time needed to apply the segmentation process was around 2 to 3 seconds on a Snapdragon 835 device.
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1.
Ridhani F, Pritasari P, Anggraini D. Isi Piringku Dietary Meal Proportion Estimator Applications using SeeFood Image Segmentations. SANITAS [Internet]. 22Dec.2021 [cited 25Apr.2024];12(2):115-30. Available from: https://sanitas.e-journal.id/index.php/SANITAS/article/view/20211201-ridhani
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References
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Anjarsari I, Listyaningsih P, Linawati R, Dewi RS. Peningkatan Kesadaran Diri Pada Makanan Bergizi Melalui Metode “Isi Piringku” Pada Anak Usia 4-5 Tahun Di TK PGRI Payungan Kecamatan Kaliwungu Kabupaten Semarang. Sentra Cendekia. 2021 Jul 30;2(2):56-62.
Ardiaria M, Subagio HW, Puruhita N. SOSIALISASI PRINSIP DAN PESAN GIZI SEIMBANG SEBAGAI PENGGANTI PROGRAM EMPAT SEHAT LIMA SEMPURNA. JNH (Journal of Nutrition and Health). 2020;8(1):51-6.
p2ptm.kemkes.go.id [Internet]. Jakarta: Direktorat Jenderal Pencegahan Dan Pengendalian Penyakit Kementerian Kesehatan Republik Indonesia; c2018 [cited 2021 November 1]. Available from: http://p2ptm.kemkes.go.id/infographic-p2ptm/obesitas/page/14/isi-piringku-sekali-makan
Devriany A, Wulandari DA. Hubungan Pengetahuan Ibu Tentang “Isi Piringku” dengan Kejadian Stunting Anak Balita Usia 12-59 Bulan. Jurnal Kesehatan. 2021 Apr 29;12(1):17-24.
kesmas.kemkes.go.id [Internet]. Jakarta: Direktorat Jenderal Kesehatan Masyarakat Kementerian Kesehatan Republik Indonesia; c2018 [cited 2021 November 1]. Available from: https://kesmas.kemkes.go.id/assets/uploads/contents/others/LEAFLET-ISI-PIRINGKU-ilovepdf-compressed_1011.pdf
Damayanti D, Pritasari P, Prayitno N, Ngadiarti I, Zulfianto N. Comparing The Effect Between Energy Reducing Diet And Food Combining On Body Weight Change Among Overweight Adult. SANITAS [Internet]. 4Jun.2020 [cited 6Nov.2021];11(1):1-4.
Pertiwi R, Yuliantin E, Wahyudi A. The Influence Of Diet On Quality Nutrition Counselling Patients Of Type 2 Diabetes Mellitus In Poly Disease In The RSUD Dr.M. Yunus Bengkulu 2018. SANITAS [Internet]. 1Dec.2018 [cited 6Nov.2021];9(2):83-2.
Darni J, Agustina E. Pengaruh Komik Isi Piringku terhadap Asupan Karbohidrat dan Protein pada Anak Gizi Lebih. Jurnal Gizi Prima (Prime Nutrition Journal). 2020 Apr 29;5(1):16-9.
Cendikia ZA. PENGARUH PENGGUNAAN MEDIA KOMIK “ISI PIRINGKU” SEBAGAI MEDIA EDUKASI TERHADAP PENGETAHUAN DAN SIKAP TENTANG ISI PIRINGKU PADA SISWA SEKOLAH DASAR [Doctoral dissertation]. Yogyakarta: Poltekkes Kemenkes Yogyakarta; 2020
Fitriani A. EDUKASI ISI PIRINGKU KEPADA GURU DAN ORANGTUA UNTUK MENINGKATKAN KERAGAMAN MAKANAN DARI ASPEK SAYUR DAN BUAH PADA SISWA SD DI JAKARTA. JMM (Jurnal Masyarakat Mandiri). 2021 Oct 25;5(5):2755-69.
Mardiana M, Yuniarti H, Susanto E. IMPROVEMENT OF BALANCED NUTRITIONAL KNOWLEDGE AND SKILLS THROUGH THE DEMONSTRATION OF ISI PIRINGKU IN BASIC SCHOOL CHILDREN. JCES (Journal of Character Education Society). 2021 Apr 24;4(2):495-503.
Indradewi, IR. PENGARUH PEMBERIAN EDUKASI GIZI MENGGUNAKAN MEDIA PERMAIAN MONOPOLI TERHADAP PENGETAHUAN DAN SIKAP TENTANG ISI PIRINGKU PADA SISWA SEKOLAH DASAR [Skripsi D IV]. Semarang: Poltekkes Kemenkes Semarang; 2020
Kurniasari R, Rahmatunnisa R. PENDIDIKAN GIZI MENGGUNAKAN MEDIA NUTRIEDUTAINMENT TERHADAP PENGETAHUAN GIZI SEIMBANG ANAK SEKOLAH DASAR. Jurnal Gizi dan Kuliner. 2020;1(2):33-40.
Rahmanindar N, Zulfiana E, Harnawati RA. Pembentukan Kelompok Ibu Siaga Stunting dalam Pemulihan Balita Gizi Buruk Menggunakan Program Isi Piringku. Jurnal PkM (Pengabdian kepada Masyarakat). 2020 Dec 30;3(4):372-7.
Pamungkas GA, Isnanto RR, Martono KT. Pembuatan Aplikasi Panduan Gizi Seimbang Berbasis Android Dengan Menggunakan Metode Backward Chaining. Jurnal Teknologi dan Sistem Komputer. 2016 Apr 23;4(2):369-79.
Apriningrum N, Carudin C, Andriani E. RANCANG BANGUN APLIKASI GIZI BERBASIS ANDROID BERDASARKAN TABEL KOMPOSISI PANGAN INDONESIA (TKPI. Sistemasi: Jurnal Sistem Informasi. 2020 Sep 27;9(3):567-85.
Shinozaki N, Murakami K. Evaluation of the Ability of Diet-Tracking Mobile Applications to Estimate Energy and Nutrient Intake in Japan. Nutrients. 2020 Nov;12(11):3327.
Hidayati R, Ahniar N, Lestari G, Hendryani A, Hakim F. Self-monitoring of Glucose With A Non-invasive Method Using Near Infrared Sensor. SANITAS [Internet]. 10Dec.2020 [cited 6Nov.2021];11(2):111-2.
Freitas CN, Cordeiro FR, Macario V. MyFood: A Food Segmentation and Classification System to Aid Nutritional Monitoring. In2020 33rd SIBGRAPI Conference on Graphics, Patterns and Images (SIBGRAPI) 2020 Nov 7 (pp. 234-239). IEEE.
Poply P. An Instance Segmentation approach to Food Calorie Estimation using Mask R-CNN. InProceedings of the 2020 3rd International Conference on Signal Processing and Machine Learning 2020 Oct 22 (pp. 73-78).
Abadi M, Barham P, Chen J, Chen Z, Davis A, Dean J, Devin M, Ghemawat S, Irving G, Isard M, Kudlur M. Tensorflow: A system for large-scale machine learning. In12th {USENIX} symposium on operating systems design and implementation ({OSDI} 16) 2016 (pp. 265-283).
Google [Internet]. TensorFlow Hub; c2021 [updated 2021 November 05; cited 2021 November 06]. Available from:https://tfhub.dev/google/seefood/segmenter/mobile_food_segmenter_V1/1
Davies, Amy [Internet]. Photography Blog: Sony Xperia XZ1 Review; 2017 [cited 2021 November 06]. Available from: https://www.photographyblog.com/reviews/sony_xperia_xz1_review
nanoreview.net [Internet]. Smartphone Processors Ranking; c2021 [updated 2021 July; cited 2021 November 06]. Available from: https://nanoreview.net/en/soc-list/rating
Qualcomm [Internet]. San Diego: Snapdragon 835 Mobile Platform; c2021 [cited 2021 November 06]. Available from: https://www.qualcomm.com/products/snapdragon-835-mobile-platform
Aslan S, Ciocca G, Mazzini D, Schettini R. Benchmarking algorithms for food localization and semantic segmentation. International Journal of Machine Learning and Cybernetics. 2020 Dec;11(12):2827-47.
Wu X, Fu X, Liu Y, Lim EP, Hoi SC, Sun Q. A Large-Scale Benchmark for Food Image Segmentation. arXiv preprint arXiv:2105.05409. 2021 May 12.
TensorFlow team [Internet]. TensorFlow Lite Now Faster with Mobile GPUs; 2019 January 17 [cited 2021 November 06]. Available from: https://medium.com/tensorflow/tensorflow-lite-now-faster-with-mobile-gpus-developer-preview-e15797e6dee7
Hermina H, Prihatini S. Gambaran konsumsi sayur dan buah penduduk Indonesia dalam konteks gizi seimbang: analisis lanjut survei konsumsi makanan individu (SKMI) 2014. Indonesian Bulletin of Health Research. 2016;44(3):205-18.
Anriany D, Martianto D. Estimasi sisa nasi konsumen di beberapa jenis rumah makan di Kota Bogor. Jurnal Gizi dan Pangan. 2013 Nov 29;8(1):33-8.
Ridhani F. AUTOMATED WASTE COLLECTION CONTAINER LID OPENER PROTOTYPE WITH DISINFECTANT SPRAYER AS PART OF NOSOCOMIAL INFECTION PREVENTION. SANITAS [Internet]. 14Jul.2021 [cited 28Nov.2021];12(1):1-4. Available from: https://sanitas.e-journal.id/index.php/SANITAS/article/view/20210601-ridhani