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All Journal Jurnal Teknologi Komputer dan Sistem Informasi JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Jurnal Komputasi
Sigit Mintoro
Institut Teknologi Bisnis dan Bahasa Dian Cipta Cendikia
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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Implementasi Data Mining Untuk Memprediksi Status Gizi Anak Balita Pada Puskesmas Gedung Sari Menggunakan Polynomial Regression Evi Marlena; Sidik Rahmatullah; Sigit Mintoro; Ngajiyanto Ngajiyanto
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 2 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : STMIK Pringsewu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i2.1490

Abstract

Predictions of children's nutritional Status can provide important input to. efforts to monitor and intervene in child nutrition, as well as support better decision-making in the field of child health. This study took data from Puskesmas data. Gedung Sari Health Center is a community health center located in Anak Ratu Aji District, Central Lampung Regency. Based on the results and discussion of the data analysis on the data above, related to the prediction of the nutritional status of toddlers at the Gedung Sari Health Center using polynomial regression, a conclusion is obtained. The conclusion of predicting nutritional status using polynomials depends on specific data analysis and modeling and the methods used. However, in general, polynomials can be used to model the relationship between input and output variables in the case of predicting nutritional status. predicted nutritional status of children and total predicted nutritional status obtained Predictions based on age in 2019 = 290,806; Predictions based on nutritional status in 2020 = 68,176; Predictions based on nutritional status in 2021 = 122,239. More research needs to be done to validate and increase the reliability of a prediction and integrate the results into health practice to improve child nutrition monitoring and interventions in the community health center.
Implementasi Data Mining Untuk Memprediksi Status Gizi Anak Balita Pada Puskesmas Gedung Sari Menggunakan Polynomial Regression Evi Marlena; Sidik Rahmatullah; Sigit Mintoro; Ngajiyanto Ngajiyanto
JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi) Vol 6, No 2 (2023): JTKSI (Jurnal Teknologi Komputer dan Sistem Informasi)
Publisher : Institut Bakti Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56327/jtksi.v6i2.1490

Abstract

Predictions of children's nutritional Status can provide important input to. efforts to monitor and intervene in child nutrition, as well as support better decision-making in the field of child health. This study took data from Puskesmas data. Gedung Sari Health Center is a community health center located in Anak Ratu Aji District, Central Lampung Regency. Based on the results and discussion of the data analysis on the data above, related to the prediction of the nutritional status of toddlers at the Gedung Sari Health Center using polynomial regression, a conclusion is obtained. The conclusion of predicting nutritional status using polynomials depends on specific data analysis and modeling and the methods used. However, in general, polynomials can be used to model the relationship between input and output variables in the case of predicting nutritional status. predicted nutritional status of children and total predicted nutritional status obtained Predictions based on age in 2019 = 290,806; Predictions based on nutritional status in 2020 = 68,176; Predictions based on nutritional status in 2021 = 122,239. More research needs to be done to validate and increase the reliability of a prediction and integrate the results into health practice to improve child nutrition monitoring and interventions in the community health center.
Sistem Pengukur Tinggi Tubuh OtomatisMenggunakan Arduino Uno R3 Dan Sensor Ultrasonik Hc-Sr04 Ferry Susanto; Sigit Mintoro; Arfani Kohar; Nurbaiti Nurbaiti
Jurnal Komputasi Vol. 12 No. 2 (2024): Jurnal Komputasi
Publisher : Jurusan Ilmu Komputer Fakultas MIPA Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/komputasi.v12i2.262

Abstract

Sistem Pengukur Tinggi Tubuh Otomatis Untuk mengukur ketinggian manusia secara umum masih dilakukan secara manual dengan menggunakan meteran. Jika kita hanya ingin satu atau tiga orang mungkin tidak menjadi masalah, tetapi jika kita ingin mengukur jumlah lebih dari 124 orang bahkan ratusan orang, itu akan sangat merepotkan dan menghabiskan banyak waktu. Dengan memanfaatkan kemajuan teknologi informasi dan komunikasi di era sekarang ini, Maka muncul ide untuk membuat alat yang dapat mengukur tinggi manusia secara otomatis yang dapat mempermudah dan mempercepat manusia dalam melakukan pengukuran ketinggian dengan menggunakan alat Arduino Uno R3, Sensor Ultrasonik HC-SR04, LCD dan Breadboard menggunakan metode prototype. Tujuan dari penelitian ini adalah untuk merancang alat yang dapat mengukur tinggi manusia secara otomatis dengan tampilan digital. Hasil pengujian menunjukkan bahwa alat ini bekerja sesuai dengan desain, yang jika manusia berdiri dibawah sensor alat ini, alat tersebut akan secara langsung mengukur ketinggian secara otomatis, dan hasilnya akan ditampilkan pada LCD
Co-Authors Arfani Kohar Evi Marlena Ngajiyanto Ngajiyanto Nurbaiti Nurbaiti Sidik Rahmatullah Susanto, Ferry