基于网络的 Posyandu Mutiara 营养与发育迟缓决策支持系统

Rifky Nur Febryan, Arief Ikhwan Wicaksono, Chanief Budi Setiawan, Nurul Fatimah
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摘要

Posyandu 是社区健康领域的活动基地,Posyandu 希望社区能尽早意识到健康问题,因为 Posyandu 的活动涉及方方面面,尤其是在早期保健方面。这个 Posyandu 由 Puskesmas 管理和监督,以便在 RT 和 RW 之间最大限度地开展健康领域的活动。在这种情况下,许多活动仍然依赖于手工记录和大量没有结构化的数据。还有一项幼儿称重活动仍在使用手工方法,即检查《健康卡》(KMS)手册。这项研究旨在创建一个支持决策的系统,供 Kader Posyandu 在进行幼儿称重报告活动时使用,并提供一个虚拟的地方,即上传数据的设施,用于存储数据软拷贝,可以下载回来。该系统还为确定营养状况和发育迟缓提供了替代功能。这种形式的系统支持决策的研究结果有助于 Kader Posyandu 进行称量幼儿体重和宣布称量幼儿体重的记录活动。Posyandu Mutiara 的营养决策支持系统和发育迟缓测定是采用奈伊夫贝叶斯分类法设计的,并通过使用 Flask 框架、Bootstrap 框架和 MySQL 作为数据库,使用PYTHON 编程语言制作而成。
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Sistem Pendukung Keputusan Gizi dan Penentuan Stunting Berbasis Web di Posyandu Mutiara
Posyandu is the activity base in the field of health for the community, with the Posyandu is expected to community conscious will Healt sice early, because of the activities of Posyandu many involving various parties, especially on helath early is a todder. This Posyandu is regulated and supervised by the Puskesmas in order to maximize activities in the field of Healt between RT and RW. In the case of these many activities are still relying on the recording is manually and a lot of data that is not structured. There is also a wighing activity for toddlers who still use the manual method, namely checking the Card Towards Health (KMS) book. The study is intended to create a system supporting decision that can be used by Kader Posyandu in doing the reporting activities of the weighing toddlers and provides a place virtual namely the facility to upload data that is used to store the data Softcopy which can be downloaded back. This system also provides alternative features for determining nutrition and stunting. The result of the study of this form of system support decisions thet help Kader Posyandu in doing the repoting activities of the weighing toddlers and announcements weighing toddlers. The Nutrition Decision Support System and Stunting Determination at the Posyandu Mutiara was designed using the Naïve Bayes Classification method and was made using the PYTHON programming language by utilizing the Flask Framework, Bootstrap Framework, and MySQL as a database.
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