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The Effect of Infant and Young Child Feeding (IYCF) on the Knowledge and Attitudes of Integrated Healthcare Center Cadres Sudiyanti, Nanik; Nailufar, Farida; Wahyuningrum, Diah Retno; Saraheni, Saraheni
Journal of Health and Nutrition Research Vol. 2 No. 3 (2023)
Publisher : Media Publikasi Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56303/jhnresearch.v2i3.177

This study aims to determine the effect of Infant and young child feeding training on the knowledge and attitudes of Integrated Healthcare Center cadres in Teluk Lingga, East Kutai Regency. The research is a quasi-experimental study with a pretest and posttest (one group pretest-postest) research design conducted in March 2023 in the working area of the Teluk Lingga Health Center, East Kutai Regency, East Kalimantan, Indonesia. A total of 51 cadres were involved as respondents by setting inclusion and exclusion criteria. IYCF variables are carried out by delivering material, counselors, and practices. The variables of knowledge and attitude were obtained using questionnaires that had been tested for validity and reliability. The data is then collected and then analyzed with the Paired-Sample T-Test. The difference in the level of knowledge of Integrated Healthcare Center cadres before and after being given IYCF training was 62.61 to 83.67 and obtained a p-value of 0.000. This means that there is an influence of IYCF training on the knowledge of Integrated Healthcare Center cadres. The attitude showed a difference in the attitude of Integrated Healthcare Center cadres before and after being given IYCF training with an average of 35.53, an increase of 42.96, and obtained a p-value of 0.000, which means that there is a significant difference between the average score on the pre-test and post-test. IYCF training has a significant effect on increasing the knowledge and attitudes of Integrated Healthcare Center cadres. We hope that this training will be carried out continuously.

The Effectiveness of Nutrition Education about Stunting Using Video Media on The Knowledge and Attitudes of Mothers of Toddlers Burah, Naomi; Reski, Sepsina; Wahyuningrum, Diah Retno; Cahyono, Joko
Journal of Health and Nutrition Research Vol. 3 No. 1 (2024)
Publisher : Media Publikasi Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56303/jhnresearch.v3i1.202

Stunting is still a global health emergency, threatening children's health and productivity in the future. Stunting in children begins in the family environment. Mothers contribute fully to optimal child growth and development. This study aims to determine the effectiveness of nutrition education about stunting using video media on the knowledge and attitudes of mothers under five. A quasi-experimental study with a pre-post test approach with a control group design was conducted in February – April 2023 at the Teluk Lingga Sangatta Health Center, East Kutai, East Kalimantan. A total of 36 samples were involved in this study by purposive sampling by taking into account inclusion and exclusion criteria. Data were analysed using paired t-tests and independent t-tests. There were differences in knowledge before and after being given nutrition education videos with a value of p-0.000 and differences in attitudes before and after being given nutrition education videos with a value of p-0.000. There are differences in knowledge before and after nutrition education with leaflet p-0.000. There are differences in the attitude of mothers of toddlers before and after nutrition education with leaflet p-0.000. Nutrition education videos are more effective in increasing knowledge compared to the p-0.000 leaflet. Nutrition education videos are more effective in improving attitudes compared to leaflet p-0.001. Nutrition education videos about stunting are more effective in increasing knowledge and attitudes about stunting.

The Relationship of Balanced Nutrition Knowledge with the Attitudes and Behaviors of Young Women Nizmah, Nizmah; Reski, Sepsina; Wahyuningrum, Diah Retno; Cahyono, Joko
Journal of Health and Nutrition Research Vol. 3 No. 1 (2024)
Publisher : Media Publikasi Cendekia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56303/jhnresearch.v3i1.203

This study aims to determine the relationship between balanced nutrition knowledge with the attitudes and behaviors of adolescent girls. An analytical survey with a cross-sectional design was conducted in July – August 2023 at the Paqusata Youth Integrated Healthcare Center working area of the Teluk Lingga Health Center, East Kalimantan, Indonesia. A total of 51 adolescents were included as a sample using total sampling and setting inclusion and exclusion criteria. Data analysis using the Chi-Square test. Univariate tests showed respondents' age (31.4%), grade 10 (41.2%), mothers with high school education (43.1%), and parents' occupation was IRT (78.4%). Knowledge of balanced nutrition is mostly a good criterion (62.7%), attitudes are mostly good criteria (66.7%), and behaviour is mostly a good criterion (51%). The bivariate test showed knowledge of balanced nutrition with attitudes in adolescent girls with a value of p = 0.000. And knowledge of balanced nutrition with behaviour in adolescent girls with a value of p = 0.025. There is a relationship between knowledge of balanced nutrition and attitudes in adolescent girls. There is a relationship between knowledge of balanced nutrition and behaviour in adolescent girls. It is hoped that the management of the Puskesmas can provide regular nutrition socialization and education at the Adolescent Integrated Healthcare Center and in schools regarding balanced nutrition.

Optimizing learning effectiveness through literacy-oriented teaching materials with quantum teaching in food and nutrition data analysis courses Haryana, Nila Reswari; Rukmana , Erni; Purba, Edy Marjuang; Fransiari, M.Edwin; Wahyuningrum, Diah Retno
Educenter : Jurnal Ilmiah Pendidikan Vol. 4 No. 3 (2025): Educenter: Jurnal Ilmiah Pendidikan (In progress)
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/educenter.v4i3.1691

This study aimed to optimize learning effectiveness in the Food and Nutrition Data Analysis course through the development of literacy-oriented teaching materials with a Quantum Teaching approach. The research employed a Research and Development (R&D) method using the 4D model: Define, Design, Develop, and Disseminate. The Define stage involved a needs analysis of 60 nutrition students, revealing that 88.5% required interactive teaching materials with step-by-step practical guidance. In the Develop stage, the teaching materials were validated by content and media experts, yielding scores of 91.25% and 89.50%, respectively, which fall into the “very feasible” category. The Disseminate stage involved limited implementation in one class, showing an increase in average student engagement scores from 73.40 to 88.20 and comprehension test scores from 71.85 to 87.45. These findings demonstrate that the developed materials effectively enhance student participation and mastery of data analysis concepts. This innovation addresses the gap in practical-oriented learning resources for nutrition students, aligning with curriculum demands and 21st-century learning skills. The developed materials are expected to improve competence in analyzing food and nutrition data, thereby supporting academic success and professional readiness.

Optimizing learning effectiveness through literacy-oriented teaching materials with quantum teaching in food and nutrition data analysis courses Haryana, Nila Reswari; Rukmana , Erni; Purba, Edy Marjuang; Fransiari, M.Edwin; Wahyuningrum, Diah Retno
Educenter : Jurnal Ilmiah Pendidikan Vol. 4 No. 3 (2025): Educenter: Jurnal Ilmiah Pendidikan (In progress)
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/educenter.v4i3.1691

This study aimed to optimize learning effectiveness in the Food and Nutrition Data Analysis course through the development of literacy-oriented teaching materials with a Quantum Teaching approach. The research employed a Research and Development (R&D) method using the 4D model: Define, Design, Develop, and Disseminate. The Define stage involved a needs analysis of 60 nutrition students, revealing that 88.5% required interactive teaching materials with step-by-step practical guidance. In the Develop stage, the teaching materials were validated by content and media experts, yielding scores of 91.25% and 89.50%, respectively, which fall into the “very feasible” category. The Disseminate stage involved limited implementation in one class, showing an increase in average student engagement scores from 73.40 to 88.20 and comprehension test scores from 71.85 to 87.45. These findings demonstrate that the developed materials effectively enhance student participation and mastery of data analysis concepts. This innovation addresses the gap in practical-oriented learning resources for nutrition students, aligning with curriculum demands and 21st-century learning skills. The developed materials are expected to improve competence in analyzing food and nutrition data, thereby supporting academic success and professional readiness.

The Relationship Between Spiritual Conditions and the Quality of Life of the Elderly in UPTD X Kalasta Ayunda Putri; Diah Retno Wahyuningrum
Professional Evidence-based Research and Advances in Wellness and Treatment Vol. 2 No. 1 (2025): January, 2025
Publisher : CV. Get Press Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69855/perawat.v2i1.123

Seniors experience various physical, psychological, and social changes that can impact their quality of life. One factor believed to improve their well-being is spirituality. Seniors with high spiritual levels tend to better face life’s challenges, show stronger psychological resilience, and have a higher quality of life. This study aims to examine the relationship between spiritual condition and quality of life among the elderly in UPTD X. An analytical observational design with a cross-sectional approach was used in this study. The sample consisted of 80 elderly individuals selected through Simple Random Sampling from a population of 100. Data were collected using the Daily Spiritual Experience Scale (DSES) questionnaire to measure spiritual condition and the Older People Quality of Life (OPQOL) questionnaire to assess the elderly’s quality of life. Data analysis was conducted using the Spearman Rho Correlation Test due to non-normal distribution. Results show that most seniors have a moderate to high spiritual condition. Those more active in spiritual activities tend to have a better quality of life than those with low spirituality. The correlation test revealed a significant relationship between spiritual condition and quality of life (r = 0.512, p = 0.001), indicating a medium-level correlation. The study concludes that better spiritual conditions lead to higher quality of life. To enhance elderly well-being in social institutions, interventions such as improving religious programs, providing better social support, and training health workers in spiritual guidance are essential.

District Level Child Nutrition Vulnerability in North Sumatra Using Composite Indeks, Machine Learning Benchmarking Fanny Ramadhani; Sri Dewi; Dian Septiana; Diah Retno Wahyuningrum; Andy Satria
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 4 (2026): Juni 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i4.9785

Child nutrition vulnerability is a multidimensional issue influenced by health outcomes, socioeconomic conditions, environmental factors, maternal education, dietary patterns, and access to health services. This study developed the Child Nutrition Vulnerability Index (IKGA) to map district level vulnerability in 33 districts or cities of North Sumatra during 2021-2023 and to examine the stability of the resulting priority ranking. Birth, severe malnutrition, and low birth weight data were obtained from the North Sumatra Provincial Health Office; sanitation was derived from Riskesdas; and supporting socioeconomic and service access variables were compiled from district level research and statistical datasets. The method included indicator transformation, annual min-max normalization, weighted composite aggregation, tertile-based relative risk classification, spatial visualization, one-at-a-time and Monte Carlo sensitivity analyses, and exploratory machine learning benchmarking using Random Forest, Decision Tree, and K-Means. The 2023 average IKGA was 0.3486, with the highest score in Nias (0.5573) and the lowest in Kota Binjai (0.1934). Monte Carlo sensitivity analysis produced an average Spearman rank correlation of 0.9957, indicating stable rankings under moderate weight variation. Random Forest reproduced the IKGA categories better than Decision Tree and K-Means, with 0.727 accuracy and 0.724 macro-F1. The IKGA provides an interpretable district level prioritization tool for SI-GIZI SIGAP, but the categories should be interpreted as relative provincial priorities rather than absolute nutritional risk thresholds.

INTEGRASI MACHINE LEARNING DAN ANALISIS SPASIAL UNTUK PREDIKSI WILAYAH RAWAN TUBERKULOSIS DI PROVINSI SUMATERA UTARA Fanny Ramadhani; Said Iskandar Al-Idrus; Dian Septiana; Arnita Arnita; Diah Retno Wahyuningrum
Djtechno: Jurnal Teknologi Informasi Vol 6, No 2 (2025): Agustus
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v6i2.6840

Tuberkulosis (TBC) masih menjadi masalah kesehatan masyarakat yang serius di Provinsi Sumatera Utara. Prevalensi tinggi terutama di daerah padat penduduk dan terbatasnya akses layanan kesehatan menjadi tantangan utama dalam pengendalian TBC. Penelitian ini bertujuan untuk memprediksi wilayah rawan TBC dengan mengintegrasikan algoritma machine learning dan analisis spasial. Data sekunder diperoleh dari Sistem Informasi Tuberkulosis Nasional (SITB), Badan Pusat Statistik (BPS), dan shapefile administrasi wilayah kabupaten/kota di Sumatera Utara. Variabel prediktor meliputi kepadatan penduduk, status gizi, jumlah fasilitas kesehatan, tingkat kemiskinan, kualitas hunian, dan cakupan imunisasi. Model dikembangkan menggunakan algoritma Random Forest, sementara analisis spasial dilakukan menggunakan QGIS untuk menghasilkan peta risiko TBC. Hasil model menunjukkan akurasi sebesar 86,2% dengan variabel paling berpengaruh adalah kepadatan penduduk, kualitas hunian, dan akses fasilitas kesehatan. Peta risiko yang dihasilkan mengidentifikasi wilayah seperti Kota Medan, Deli Serdang, dan Labuhanbatu sebagai zona merah. Hasil penelitian ini diharapkan menjadi dasar perencanaan intervensi kesehatan yang lebih tepat sasaran di Sumatera Utara.

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