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All Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Info Abdi Cendekia
Haikal Kamil
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Religion Computer Science & IT Engineering Health Professions Library & Information Science Social Sciences

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Peningkatan Kapasitas Kader Kesehatan Melalui Edukasi dalam Pencegahan dan Penatalaksanaan Stunting di Kelurahan Cengkareng Timur Helwiah Umniyati; Azzahara, Natasya; Nazla Antar; Adela Putri Amanda; Natasya Mutiara Hati; Achmad Said Agil; Mega Suhartini; Reza Bimantoro; Nur Afifah Inayah; Haikal Kamil; Anisa Mauliasyah
Info Abdi Cendekia Vol. 8 No. 1: Juni 2025
Publisher : Lembaga Penelitian Universitas YARSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33476/iac.v8i1.172

Abstract

Masalah gizi seperti stunting merupakan tantangan utama dalam mencapai pertumbuhan dan perkembangan anak yang optimal, khususnya di Indonesia. Penelitian ini bertujuan untuk meningkatkan kapasitas kader kesehatan di Kelurahan Cengkareng Timur melalui penyuluhan terkait pencegahan stunting. Metode yang digunakan adalah pretest dan posttest untuk mengevaluasi pemahaman kader sebelum dan sesudah intervensi, dengan pendekatan edukasi partisipatif. Sebanyak 44 kader kesehatan yang mayoritas berusia paruh baya dan berpendidikan SMA dilibatkan dalam program ini. Hasil penelitian menunjukkan adanya peningkatan pemahaman kader kesehatan setelah intervensi, dengan rata-rata peningkatan nilai sebesar 17,05 poin berdasarkan hasil uji Paired Samples T-Test (p < 0,05). Grafik pretest dan posttest juga memperlihatkan peningkatan signifikan pada sebagian besar kader. Program ini terbukti efektif dalam meningkatkan pemahaman kader terkait pentingnya 1.000 hari pertama kehidupan, intervensi gizi, dan peran kader dalam pencegahan stunting. Keberhasilan program ini memberikan dasar untuk pengembangan strategi berkelanjutan guna mendukung percepatan penurunan prevalensi stunting di wilayah tersebut.
Performance Evaluation of ESP32-Based IoT Communication latency in an Assembly line Model Mohammad Fauzan Aulialdi; Vina Sari Yosephine; Muhammad Amir Fajri; Haikal Kamil
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 10 No. 1 (2026): Issues July 2026
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v10i1.18715

Abstract

The development of Internet of Things (IoT) technology provides opportunities to support the digitalization of Micro, Small, and Medium Enterprises (MSMEs), particularly in monitoring systems and automated operational data recording. However, the performance of IoT-based monitoring systems is highly influenced by communication delays between edge devices and cloud services, making communication performance evaluation essential to ensure system reliability prior to practical deployment. This study aims to evaluate the communication performance of an ESP32-based IoT system connected to a cloud spreadsheet by analyzing data transmission delays in a four-station assembly line model representing MSME-scale production processes. The method used is an experimental approach with 30 trials conducted at each station equipped with infrared sensors, and time measurement using a stopwatch as a visual reference. The collected data were analyzed using average values, standard deviation, and the Three Sigma method to evaluate communication stability. The results show that the average data transmission delay is approximately 3 seconds, with variations remaining within the control limits, indicating that the system operates under stable (in-control) conditions. Differences in delay among the stations indicate the influence of network communication characteristics, including Wi-Fi connection quality, network traffic, and the HTTP communication protocol used for cloud transmission. These findings demonstrate that the proposed system provides sufficiently stable communication performance to support operational monitoring in MSMEs and can serve as a baseline for the future development of cloud-based monitoring systems toward digital twin implementation.
Co-Authors Achmad Said Agil Adela Putri Amanda Anisa Mauliasyah Azzahara, Natasya Helwiah Umniyati Mega Suhartini Mohammad Fauzan Aulialdi Muhammad Amir Fajri Natasya Mutiara Hati Nazla Antar Nur Afifah Inayah Reza Bimantoro Vina Sari Yosephine