Claim Missing Document
Check
Articles

Found 34 Documents
Search

Rasio lingkar pinggang tinggi badan dan aktivitas fisik sebagai risiko prediabetes remaja kota jambi Egy Sunanda Putra; Junita Junita
Riset Informasi Kesehatan Vol 11 No 1 (2022): Riset Informasi Kesehatan
Publisher : Sekolah Tinggi Ilmu Kesehatan Harapan Ibu Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (390.703 KB)

Abstract

Background: Prediabetes is the stage of tolerance between normal glucose and diabetes which is characterized impairment fasting glucose. Prediabetes is an important concern because it increases the risk of diabetes mellitus. Waist-to-height ratio and physical activity is an indicator related to the risk of prediabetes that needs to be studied. Objective: Analyze waist-to-height ratio and physical activity with the risk of prediabetes in adolescents in Jambi City. Methods: a cross-sectional analytic observational study was conducted at SMAN 2 Jambi City in August – September 2019. The subjects were 140 people, the subject was taken by purposive sampling. Waist-to-height ratio data was taken using a metlitmeter and microtoise, physical activity data using the International Physical Activity Questionnaire Short Form (IPAQ-SF). Prediabetes data with fasting blood glucose examination biosystem method using a spectrophotometer biochemical analyzer AE-600N at a wavelength (λ) 500 nm. Data analysis with chi-square and multiple logistic regression. Results: the relationship between waist-to-height ratio (p=0.05; OR=2.615; CI=1.076 – 6.357) and physical activity (p=0.02; OR; 4.380; CI; 1.237 – 5.502) with the risk of prediabetes. physical activity <600 METs-minute/week had 5 times the risk of prediabetes (p=0.02) after being corrected for variables such as waist circumference, height, carbohydrate intake, and total fat. Conclusion: physical activity <600 Mets-minute/week risk factor for prediabetes
Pelatihan Pola Asuh Gizi dengan Website (Simpatik) Melalui Bina Keluarga Balita di Wilayah Kerja Puskesmas Paal Merah 2 Kota Jambi Ary Irfan; Egy Sunanda Putra; Junita Junita
Jurnal Abdimas Kesehatan (JAK) Vol 5, No 3 (2023): November
Publisher : Sekolah Tinggi Ilmu Kesehatan Baiturrahim Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36565/jak.v5i3.592

Abstract

Feeding practices low contribution for toddlers are closely related to the knowledge, motivation and attitudes of mothers/caregivers of toddlers. In Indonesia, the knowledge of mothers or caregivers is one of the factors that makes it difficult to handle malnutrition problems. The aim of community service is to increase the knowledge of mothers of toddlers in providing MP-ASI. Community service activities in collaboration with the Paal Merah II Community Health Center, Jambi City with a target of 40 mothers of toddlers at Posyandu Anggrek 9 conducting training on the application of science and technology research results in the form of the SIMPATIK website. Implementation of community service activities is carried out in three stages, namely: training in nutritional parenting patterns through SIMPATIK, and evaluation of knowledge of nutritional parenting patterns (pretest-posttest). As a result of the activity, 95% of mothers had good knowledge in giving MP-ASI, which previously was 15%, meaning there was an increase of 80%. SYMPATHIC training increases the knowledge of mothers of toddlers which can later contribute to the behavior of giving MP-ASI, so that providing the right MP-ASI will provide benefits and suit optimal growth and development according to age. Partners contribute to providing posyandu premises, accompanying teams of nutrition implementers and posyandu cadres. Obstacles during service are mothers of toddlers' limited time to attend training, and some mothers do not have data packages. These obstacles and challenges can be overcome by providing a mentoring team, and providing data packages to mothers of toddlers so they can access SIMPATIK
Pelatihan “Giving and Asking for Direction” untuk Mengenalkan Kearifan Budaya Lokal Melalui Film Pendek : Kegiatan ABDIMAS di SMA Fons Vitae 1 Jakarta Putri Rindu Kinasih; Junita Junita
Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat Vol. 3 No. 1 (2026): Januari: Kesejahteraan Bersama : Jurnal Pengabdian dan Keberlanjutan Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62383/bersama.v3i1.2727

Abstract

Currently, the skills needed to advance a tourist area are influenced by the availability of human resources who can speak English and understand local culture well. Unfortunately, improving English proficiency remains a challenge. Additionally, another issue appears as the Alpha generation is exposed to a great deal of English-language social media content; however, this does not appear to be directly correlated with an improvement in their English proficiency. It appears that the English Club instructors at SMA Fons Vitae 1 Jakarta were also aware of these two problems. Therefore, on September 11, 2025, an ABDIMAS activity entitled "Giving and Asking for Direction" training was held with the production of a short film. This activity was attended by 15 participants, 10 boys and 5 girls, a combination of students from grades 10 and 11. The results of the training showed that the pre-production process of making a short film provided a space for participants to recognize and explore Indonesian cultural heritage. Furthermore, the production process of making a short film made participants not afraid of speaking English. In the post-production process, participants can also edit parts of the video that are less than satisfactory because they can re-record if there are errors in pronunciation and grammar.
IMPLEMENTASI MACHINE LEARNING UNTUK MEMBUAT IMAGE SEARCH ENGINE BERDASARKAN ANALISIS SIMILARITAS [IMPLEMENTATION OF MACHINE LEARNING TO CREATE AN IMAGE SEARCH ENGINE BASED ON SIMILARITY ANALYSIS] Austin Darian Pratama; Junita Junita
FaST : Jurnal Sains dan Teknologi Vol. 7 No. 2 (2023): NOVEMBER
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/jstfast.v7i2.7592

Abstract

The development of technology makes it easier to search for something on the internet. Based on data in 2022, there will be more than 1 billion Google users worldwide. This data proves the importance of search engines for internet users. However, in general, search engine searches use keywords. This research aimed to produce image search engines for searching. The image search engine utilizes a Convolutional Neural Network, namely VGG-16, which would compare the similarity of the input image to all images in the database by comparing the neurons in the image. Image search engine performance was measured based on the accuracy and sequence of image output. Accuracy was obtained with a weighting system from 5 search result images produced by the image search engine. Mobile phone applications were used to improve the quality of images used for searching. The application would capture images or take images through the gallery then upload them to Firebase and be used to search by image search engines. From the research conducted, it was found that changing the angle had the greatest impact on decreasing accuracy values when compared to 3 other factors: color, background and image quality. The decrease in accuracy due to the influence of angle, color, backround,, and image quality was 96.25%, 0%, 22.5%, and 68.75%, respectively. The images from cellphone application were proven to have higher accuracy (95.32% ) than the images captured with webcam (86.67%). The increase in accuracy emphasizes that the influence of image quality and the angle of the image used to search influences search results. The specifications of the cellphone camera are 64 Megapixels, while the webcam camera is 2 Megapixels.Bahasa Indonesia Abstract:Berkembangnya teknologi memberikan kemudahan untuk mencari sesuatu dalam internet. Berdasarkan data pada tahun 2022 lebih dari 1 milliar pengguna google di seluruh dunia. Data tersebut membuktikan bahwa pentingnya search engine bagi pengguna internet. Namun pada umumnya, pencarian search engine memanfaatkan kata kunci. Penelitian ini bertujuan untuk menghasilkan image search engine untuk pencarian. Image search engine memanfaatkan Convolutional Neural Network yaitu VGG-16 yang membandingkan kemiripan gambar input dengan semua gambar pada database dengan membandingkan neuron-neuron pada gambar. Performa image search engine diukur berdasarkan akurasi dan urutan keluaran gambar. Akurasi didapatkan dengan sistem pembobotan dari 5 gambar hasil pencarian yang dihasilkan oleh image search engine. Aplikasi handphone dimanfaatkan untuk meningkatkan kualitas gambar yang digunakan untuk pencarian. Aplikasi akan menangkap gambar atau mengambil gambar melalui gallery kemudian diunggah ke firebase dan digunakan untuk mencari oleh image search engine. Dari penelitian yang dilakukan didapatkan bahwa perubahan angle memberikan dampak yang paling besar terhadap penurunan nilai akurasi jika dibandingkan dengan 3 faktor lainnya: warna, background, dan kualitas gambar. Penurunan akurasi yang didapatkan akibat pengaruh angle, warna, bakcground, dan kualitas gambar masing-masing sebesar 96,25%; 0%, 22,5%; dan 68,75%. Gambar dari aplikasi handphone terbukti memiliki akurasi lebih tinggi (95.32%) dari gambar hasil tangkapan webcam (86,67%). Peningkatan akurasi ini mempertegas bahwa pengaruh kualitas gambar dan angle pada gambar yang digunakan untuk mencari mempengaruhi hasil pencarian. Spesifikasi dari kamera handphone adalah 64 Megapixels, sedangkan kamera webcam 2 Megapixels.