Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Suara Pengabdian 45
Ijonu, Ukhti Nurfajriah Sasmita
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Education Materials Science & Nanotechnology Physics Social Sciences

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
MODEL KOEFISIEN REGRESI VARIASI SPASIAL UNTUK PREDIKSI HOTSPOT STUNTING DI INDONESIA Ijonu, Ukhti Nurfajriah Sasmita; Jaya, I Gede Nyoman Mindra; Arisanti, Restu
Jurnal Penelitian Pendidikan IPA Vol 10 No 10 (2024): October
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v10i10.8270

Abstract

Stunting is a significant issue, particularly in the context of Indonesia. Identifying crucial risk factors is crucial for mitigating and developing effective strategies to control stunting. A Bayesian approach was employed to develop a regression model that incorporates spatial variation, allowing risk factors to vary across different districts and cities. The aim was to obtain the most optimal regression model. The analysis revealed that the impact of immunization varies across districts and cities in Indonesia when it comes to explaining the differences in stunting prevalence. The hotspot prediction results indicate that most urban districts in Indonesia remain hotspot areas, with a stunting risk exceeding 20%. The government must ensure the effective implementation of the immunization program in order to mitigate the prevalence of stunting in Indonesia. The novelty of this research lies in the use of Bayesian approaches to spatial analysis in identifying and understanding stunting risk factors as well as the prediction of stunting hotspots in Indonesia. This approach provides in-depth insight into local variations in the prevalence of stunting and the effectiveness of health interventions, which supports more effective and targeted policy development.
Implementasi Sistem Hidroponik Deep-Flow-Technique (DFT) untuk Pemanfaatan Pekarangan di Desa Mekar Jaya Badu, Risti Ristianingsih; Ijonu, Ukhti Nurfajriah Sasmita; Lukum, Wahidin; Paputungan, Nursiti Aisyah; Ajami, Frans Mitran; Abas, Mamat; Podungge, Abdul Madjid; Sahabat, Andi Inar; Juramang, Risnayanti R.; Umadji, Nur Inda R.; Radjak, Karmila Damariani
Jurnal Suara Pengabdian 45 Vol. 4 No. 4 (2025): Desember: Jurnal Suara Pengabdian 45
Publisher : LPPM Universitas 17 Agustus 1945 Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56444/r7t86s58

Abstract

The utilization of home yard as an alternative food source by using innovation has not been well applied in Melandar Meiland village. Household food security is usually not managed planned. To achieve sustainable use of the yard, this devotion aims to implement the Deep Flow Technique (DFT) hydroponic system. Moreover, the method used in this activity is participation through the observation of initial conditions, socialization and education through extension and discussion, the application of hydroponic installation, and planting maintenance of plants. The results of the activity show that people better understand the benefits of yard and the ability to run the DFT hydroponic system independently. Thus, the application of this system encourages changes in the views and habits of society about the yard as a productive place to support household food security. 
Co-Authors ABAS, MAMAT Abdul Madjid Arisanti, Restu Frans Mitran Ajami I Gede Nyoman Mindra Jaya Juramang, Risnayanti R. Lukum, Wahidin Paputungan, Nursiti Aisyah Radjak, Karmila Damariani Risti Ristianingsih Badu Sahabat, Andi Inar Umadji, Nur Inda R.