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The effect of Korean wave on body image and eating disorders among female adolescents in Yogyakarta, Indonesia Nurina Umy Habibah; A Fahmy Arif Tsani; Sumarni DW
Jurnal Gizi Klinik Indonesia Vol 18, No 2 (2021): Oktober
Publisher : Minat S2 Gizi dan Kesehatan, Prodi S2 IKM, FK-KMK UGM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijcn.63151

Abstract

Background: Currently, Indonesia is one of the countries affected by the Korean "fever" due to the Korean wave's globalization through the media. The content of K-pop which displays model characteristics that are identical to a slender body, tall, and attractive, can lead to adolescent body image perception. The problem most often experienced by adolescents is physical appearance. The negative body image in adolescence could encourage the emergence of eating behavior disorders known as eating disorders. Objective: To analyze the relation between Korean wave exposure through media information with body image and eating disorders risk in female high school students in Yogyakarta. Methods: This research used the cross-sectional method with a quantitative approach. The research population was female first-grade high school students in Yogyakarta. The subjects of 109 female students who are qualified with the inclusion criteria: enrolled students in the selected schools, physically healthy, and willing to take part in the research; are requested to fill out the Korean wave exposure questionnaire to measure the type and frequency of exposure, the Contour Drawing Rating Scale questionnaire to measure the body image, and the Eating Attitude Test 26 to determine the eating disorders risk. Data were analyzed with the Chi-Square test and logistic regression test. Results: Univariate analysis showed that 11% of the subject was exposed to Korean wave with various type of exposure, 88.1% of the issue was dissatisfied with their body and developed negative body image, and 47.7% of the issue was at risk of eating disorders; 53% of them tend to developed diet behavior, 21.04% bulimia, and 25.96% was in oral intake restriction. The multivariate analysis showed that Korean wave exposure (RP=1.6; 95%CI=0.7-10.04) correlates significantly with negative body image perception. Eating disorders risk significantly affected by Korean wave exposure (RP=2.1; 95%CI=0.97-4.63) and body image (RP=2.93; 95%CI=1.25-5.49). Chi-Square analysis showed body image significantly correlates with eating disorders risk (RP=6.2; 95%CI=1.25-5.94). Conclusions: Exposure to Korean waves affected negative body image in female adolescents. On the other hand, Korean wave exposure and body image also affected eating disorder behavior among female adolescents.* Presented at the International Nutrition and Health Symposium (INHESION) on Sunday, November 15th, 2020, in Yogyakarta, organized by HIMAGIKA and the Department of Health Nutrition, Faculty of Medicine, Public Health, and Nursing, Universitas Gadjah Mada
Monitoring Cairan Infus Menggunakan Load Cell Berbasis Internet of Things (IoT) Phisca Aditya Rosyady; Aditya Santa Sanitya Sukarjiana; Nurina Umy Habibah; Nuni Ihsana; Ahmad Raditya Cahya Baswara; Widya Rahayu Dinata
Techné : Jurnal Ilmiah Elektroteknika Vol. 22 No. 1 (2023)
Publisher : Fakultas Teknik Elektronika dan Komputer Universitas Kristen Satya Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31358/techne.v22i1.345

Abstract

Pemantauan infus pada pasien di fasilitas kesehatan oleh tenaga kesehatan merupakan hal yang sangat penting karena merupakan bagian dari salah satu terapi pengobatan pasien. Hal ini menjadi sangat penting karena keterlambatan penggantian infus maupun adanya perbedaan kecepatan aliran infus pada pasien dapat berakibat fatal bagi pasien yang dirawat. Oleh karena itu, diperlukan suatu sistem yang bertujuan untuk memudahkan perawat dalam memantau kondisi volume infus dan jumlah tetesan infus per menit dari pasien yang dirawat. Monitoring cairan infus ini menggunakan sensor Load Cell untuk mengukur volume infus dan sensor InfraRed untuk mendeteksi jumlah tetesan infus per menit aliran. Platform web monitoring sistem ini digunakan untuk menampilkan kondisi volume infus dan tetesan per menit secara real-time. Tingkat ketelitian pengukuran sensor Load Cell mencapai 99,8%, dan sensor InfraRed mampu mendeteksi jumlah tetesan infus per menit. Platform web memiliki jeda waktu 10-30 detik dalam menampilkan hasil pengukuran, tergantung kepada kecepatan jaringan internet yang digunakan.
Rancang Bangun Detektor Monosodium Glutamate (MSG) pada Makanan Berkuah Berbasis Internet of Things (IoT) Phisca Aditya Rosyady; Yusril Rumagia; Anton Yudhana; Retnosyari Septiyani; Nurina Umy Habibah
Jurnal Teknik Elektro dan Komputer TRIAC Vol 10, No 1 (2023): Mei 2023
Publisher : Jurusan Teknik Elektro Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/triac.v10i1.17854

Abstract

Monosodium Glutamate (MSG) merupakan senyawa yang banyak digunakan sebagai penyedap makanan agar memiliki cita rasa yang lebih gurih. Produk makanan yang mengandung MSG umumnya tidak mencantumkan dosis atau jumlah MSG yang digunakan. Permasalahan ini mengakibatkan tidak terkontrolnya konsumsi MSG di masyarakat. Hal ini tentunya dapat mengakibatkan penggunaan MSG secara berlebihan yang menyebabkan kelainan sistem kerja organ tubuh jika dikonsumsi dalam jumlah banyak dengan jangka waktu yang lama. Pada penelitian ini dibuat Detektor MSG dengan menggunakan Sensor Photodioda khususnya untuk makanan berkuah yang dapat dipantau dari jarak jauh berbasis Internet of Things (IoT) yang ditampilkan pada software Blynk. Pada pengujian ini larutan MSG dipanaskan dan dicampurkan dengan bahan reaksi cairan Ninhidrin untuk mengikat asam amino yang terdapat pada senyawa MSG. kemuadian diukur hasil tegangan dengan detektor secara berkala dalam waktu 30 detik. Hasil penelitian ini diketahui adanya penurunan nilai daya pancar cahaya (LUX) yang diterima Sensor Photodioda dengan rata- rata nilai penurunan untuk sampel kuah sayur bayam sebesar 1713,07 LUX, dan kuah bakso sebesar 2226,24 setiap penambahan 0,2 gram MSG.
Microcontroller-Based Intravenous Fluid Monitoring System Design Phisca Aditya Rosyady; Nurina Umy Habibah; Ahmad Raditya Cahya Baswara; Nuni Ihsana; Dedik Sulistiawan; Widya Rahayu Dinata
Journal of Applied Engineering and Technological Science (JAETS) Vol. 5 No. 2 (2024): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v5i2.3230

Abstract

Intravenous fluids are used to replace the body's fluid and electrolyte balance. This is a crucial need for a patient during treatment, so infusion replacement should not be delayed as it can be fatal to the patient. Medical personnel must always pay attention to the patient's infusion. This has always been a problem because the limited number of medical personnel and the large number of patients often make it difficult for medical personnel to carry out their duties. The development of technology increases human creativity and creates various tools to help humans be more effective, including in dealing with problems in the medical world. Based on this background, the author designed an infusion fluid monitoring system to facilitate nurses in hospitals that lack electrical support and internet networks. This research aims to make an intravenous fluid monitoring tool using a microcontroller effectively and realtime. The research method we use is research and development, while the data analysis method uses comparative quantitative analysis. This research consists of three main parts, namely system input, microcontroller as system processor, and system output as expected. This infusion fluid monitoring uses Load Cell to measure the volume of infusion fluid, RTC module to estimate the time of infusion fluid expiration, LCD as infusion fluid status information, and buzzer as an information alarm if the infusion fluid is detected to run out. The microcontroller used in this research is Arduino Uno. The results showed that infusion fluid has the same pressure as human body fluids (isotonic). Load Cell has a mass reading accuracy value of 99.88%, the accuracy of testing the conversion of intravenous fluid measurements into milliliters of 99.49%, and the number of infusion fluid droplets per minute under normal conditions is 20, with an estimated time out for 8 hours.