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All Journal Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Abdul Kholik, Moh
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Computer Science & IT

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Design and Implementation of A Smart Home System With The Internet of Things (IoT) Using Esp32 Abdul Kholik, Moh; Fajar Budi Setiawan; Arma Fauzi
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2023): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v13i1.39

Abstract

This Internet of Things technology is created and developed by humans to facilitate every work and affairs in various aspects of life. One of them can be applied in everyday life. The day is controlling household electrical appliances to turn off and on from loot. The use communication Internet through Android smartphones. The tool needed a device ESP32 as the intermediary to connect the instrument to network the Internet to Android smartphones. This study built the system using a microcontroller working with relays. In this system, the relay acts as a switch for turning off and on the device. Electricity Action: Turning off and turning on electrical equipment remotely. Generated tools in the form of controlling Android-based lights using ESP32 technology and can use Smartphones and Android to control the lights.
Infant Vulnerability Detection At 0-1 Years Old Affected By Stunting Using The K-Nearest Neighbor Algorithm Abdul Kholik, Moh; Cucut Hariz Pratomo
Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol. 14 No. 1 (2024): Inspiration: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Pusat Penelitian dan Pengabdian Pada Masyarakat Sekolah Tinggi Manajemen Informatika dan Komputer AKBA Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35585/inspir.v14i1.82

Abstract

The toddler age represents a period of significant growth and development for a child. The 2022 Indonesian Nutrition Status Survey (SSGI), conducted by the Central Java Health Office, reports a prevalence of stunting in Temanggung at 28.9%, equating to 29 stunted toddlers out of 100. This figure is higher than the average stunting prevalence in Central Java, which stands at 20.8%. The survey also indicates that the prevalence of stunting in toddlers aged 0-1 years is higher than the overall prevalence. Consequently, it is estimated that the number of toddlers aged 0-1 years affected by stunting in Temanggung Regency over the past three years (2021-2023) ranges from 15,000 to 20,000 toddlers. The objective of this study is to ascertain the nutritional status of toddlers by utilizing the K-Nearest Neighbors (KNN) algorithm and to evaluate its accuracy in making such determinations. The results of the test on 3,999 data points indicate that the KNN algorithm can accurately classify the stunting status of children based on age and height with the highest accuracy and the smallest error rate. This is observed at a k-value of 5, with an accuracy rate of 0.999.
Co-Authors Arma Fauzi Cucut Hariz Pratomo Fajar Budi Setiawan