IMPLEMENTASI "HIGHSENSE MAXIMIZER" BERBASIS INTERNET OF THINGS PADA POS PELAYANAN TERPADU ( STUDI KASUS POSYANDU GANDRUNGMANIS TENGAH)

Memperoleh pelayanan kesehatan bagi ibu, bayi, dan anak balita , terdapat bentuk upaya kesehatan bersumberdaya masyarakat yang dilaksanakan pada Posyandu. Rutinitas bulanan posyandu dalam memantau tumbuh kembang anak, adalah dengan mengukur berat badan, tinggi badan, lingkar kepala dan pertumbuhan anak setiap bulannya. Realita di lapangan, penimbangan masih menggunakan timbangan dacin dan statumeter untuk pengukuran berat dan tinggi badan anak yang mana dacin jika sudah termakan usia angka yang tercantung sulit untuk dibaca oleh ibu-ibu kader posyandu. Permasalahan lain yang dihadapi adalah ketradisionalan alat yang digunakan menjadikan rawan terjadi kesalahan pada saat pengukuran berat atau tinggi badan . Dari permasalahan tersebut, dalam penelitian ini berat sistem pada posyandu yang dapat menangani pengukuran, pencatatan, dan riwayat. Sistem dirancang pada bagian pengukuran penimbangan dan tinggi badan dengan metode anak masuk ke area alat ukur secara wireless kemudian hasil pengukuran tersimpan pada cloud dan hasilnya dapat dimonitor melalui smartphone atau aplikasi. Hasilnya sistem dapat berjalan sesuai dengan rancangan penulis yaitu database bisa tersimpan di cloud. Kemudian dapat ditarik kesimpulan bahwa penelitian berhasil dilakukan dan hasilnya sesuai dengan penyelesaian permasalahan penulis dengan akurasi kalibrasi timbangan 99,98 %.
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The provision of health services for mothers, infants, and toddlers involves community-based health efforts implemented at Integrated Health Posts (Posyandu). As part of the monthly routine at Posyandu, monitoring the growth and development of children is conducted by measuring their weight, height, head circumference, and overall growth. However, a challenge in the field is that weighing is still done using traditional spring scales (timbangan dacin) and stadiometers for height measurement. The dacin scale, especially when aged, becomes difficult for Posyandu volunteers to read accurately. Another issue is the traditional nature of the tools used, making it susceptible to errors during weight or height measurements.To address these challenges, this research introduces a system for Posyandu that handles measurement, recording, and history. The system is designed to incorporate wireless methods for weighing and height measurement. The child enters the measurement area, and the data is transmitted wirelessly to the cloud, where it is stored. The results can then be monitored through a smartphone or application. The outcome indicates that the system functions as intended, with the database successfully stored in the cloud. In conclusion, the research was conducted successfully, and the results align with the resolution of the author's identified issues, achieving a calibration accuracy of 99.98% for the weighing system.