• Widartika Poltekkes Kemenkes Bandung
  • Nitta Isdiany Politeknik Kesehatan Kemenkes Bandung
  • Surmita Politeknik Kesehatan Kemenkes Bandung



Used of food digital map, the ability of estimation, macro nutrient


Development tools of dietary intake based on the internet and mobile phone can increase the accuracy of food intakes estimates.  In this research, we try to develop tools of dietary intake based on a smartphone,  Food Digital Maps. This study aims to know the effect of the Food Digital Maps program for estimates macronutrient intake. The study design is two groups experimental, with 78s sample for the treatment group and 78’s sample for the control group. The data collected can estimate macronutrients intake (energy, protein, fats and carbohydrates) before and after use Food Digital Maps. The result showed significant difference at 4. 06% on the ability of estimation of energy intake, significant differences at 4.07% on the ability of estimation of protein intake, significant differences at 6.83% on the ability of estimation of fat, significant differences at 11.08% on the ability of estimation of carbohydrate intake before and after use of food digital maps.  There are significant differences in estimating energy and fat intake between groups using digital food maps and food models. But there was no significant difference in the ability to estimate protein and carbohydrates intake between groups using digital food maps and food models. Food digital maps can be used as alternative dietary intake survey tools for easier and practical, but this program required development and further research.  


Kusharto C.M. 2014. Survei Konsumsi Gizi. Graha Ilmu : Yogyakarta

Gibson, RS . 2005. Principles of Nutritional Assessment. New York : Oxford University Press.

Seaman C. 2008. Review of some computer pakage for dietary analysis. Journal of Human Nutrition and Dietetics 5:263-264.

Lee RD, Nieman DC. 2013. Nutritional Assessment. 6nd Ed. New York : WBC Mc Graw – Hill

Lazarte CE, Encinas ME, Alegre C, Granfeldt Y. 2012. Validation of digital photographs, as a tool in 24-h recall, for the improvement of dietary assessment among rural populations in developing countries. Nutrition Journal 2012, 11:61

Fahmida U, Dillon DHS, 2007, Nutritional Assesment. Jakarta : SEAMEO-TROPMED RCCN University of Indonesia

Supariasa IDN, Bakro B, Fajar I. 2002. Penilaian Status Gizi. Penerbit Buku Kedokteran EGC. Jakarta.

Svensson M, Bellocco R, Bakkman L, Lagerros YT. 2013. An Interactive Internet-Based Plate for Assessing Lunchtime Food Intake: A Validation Study on Male Employees. Journal of Medical Internet Research. Volume 15, No 1.

Stumbo. PJ. 2013. New technology in dietary assessment: A review of digital methods in improving food record accuracy. Proceedings of the Nutrition Society.72. 70–76

Sastroasmoro, Sudigdo, 2008. Dasar-dasar Metodologi Penelitian Klinis, Edisi ke tiga. Jakarta : Binarupa Aksara

Yunsheng MA, Barbara, ET. 2009. Number of 24-hour diet recalls needed to estimate energy intake. Ann Epidemiol. Aug. 19(8):553-9

Persagi, 2009. Tabel Komposisi Pangan Indonesia.

Fakultas Kedokteran UI, 2014. Daftar Bahan Makanan Penukar untuk berbagai Penyakit

Badan Litbang Kesehatan Kemenkes RI, 2014. Buku Foto Makanan

Williamson DA, Allen R, Alfonso A, Davis-Martin P, Mayville SB, Hackes B, et al. Validation of digital photography and visual estimation methods for measuring food selections and food intake. Obes Res 2001; 9: 121S.

Williamson DA, Allen R, Martin PD, Alfonso AJ, Gerald B, Hunt A. Comparison of digital photography to weighed and visual estimation of portion sizes. J Am Diet Assoc 2003; 103:1139_45.

Martin CK, Newton RL. Measurement of children’s food intake with digital photography and the effects of second servings upon food intake. Eating Behav 2007; 8: 148_56.

Swanson M. Digital photography as a tool to measure school cafeteria consumption. J School Health 2008; 78: 432.

Sabinsky, MS., Toft U, Andersen KK, Tetens I. 2013. Validation of a Digital Photographic Method for Assessment of Dietary Quality of School Lunch Sandwiches Brought from Home. Food & Nutrition Research. 57: 20243

Brown LB, Oler CH. 2000. A food display assignment and handling food models improves accuracy of college students estimates of food portions. American Dietetic Association Journal. Sep;100(9) : 1063-65

Dastgiru S, Tutunchi H, Ostadrahimi A, Mahboob S. 2007. Sensitivity and specificity of a short questionnaire for food insecurity surveillance in Iran. Food Nutr Bull. Mar;28(1):55-8




How to Cite

Widartika, Isdiany, N., & Surmita. (2021). PENGARUH PENGGUNAAN FOOD DIGITAL MAP TERHADAP KEMAMPUAN ESTIMASI ASUPAN ZAT GIZI MAKRO. Jurnal Riset Kesehatan Poltekkes Depkes Bandung, 13(1), 294-303.

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