Development Application “Detection of Growth and Development for New Born Until Two Years” Based on Android
Evania Yafie1, Yudha Alfian Haqqi2
1Evania Yafie, Malang State University, Kota Malang, Jawa Timur Indonesia.
2Yudha Alfian Haqqi, Sanggar Corp.
Manuscript received on 17 October 2019 | Revised Manuscript received on 23 October 2019 | Manuscript Published on 02 November 2019 | PP: 495-509 | Volume-8 Issue-2S9 September 2019 | Retrieval Number: B11100982S919/2019©BEIESP | DOI: 10.35940/ijrte.B1110.0982S919
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The implementation of early detection in Indonesia rarely happens to know from the outset the conditions of development and growth of children. The low knowledge of parents makes it difficult to do early detection. For this reason, researchers will develop new software technology (applications) based on Android by smart phones that can automatically detect and obtain information on children’s displays of 1-2 years. The purpose of this study is to produce applications for DGD NB-2 based on Android in accordance with the functions and procedures of development carried out and to produce applications DGD NB-2 based on Android which has a good level of validity so that it can be utilized in learning activities. This study uses the Ghirardini development model and the Information Management Resource Kit, which is a development of the ADDIE development model. Data collection instruments in the form of questionnaires are used to obtain data that includes: (a) Need Analysis, (b) Target Audience Analysis, (c) Reaction or user response, (d) Media expert, (e) Material expert, (f) Expert psychology, and (g) Practical Test by users. The data analysis technique used in this research is descriptive quantitative. The results showed that 1) The results of the validation of the application media expert were in the Very good category of 86%, 2) The results of the validation of the application material experts entered the Very good category, 87%, 3) the results of the application psychology expert validation are in the Very good category, 89%, 4) Validation of the entire application is in the Very good category 87.3%.
Keywords: Application Development, Detection of Growth And Development, Born Until Two Years.
Scope of the Article: GPS and Location-Based Applications