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All Journal Jurnal Keperawatan Priority Akrab Juara : Jurnal Ilmu-ilmu Sosial Journal of Innovation Research and Knowledge International Journal of Health Sciences
Simatupang, Rumiris
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Humanities Biochemistry, Genetics & Molecular Biology Chemistry Dentistry Economics, Econometrics & Finance Education Health Professions Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Public Health Social Sciences

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Mother's Knowledge About Nutrition, Disease Infections And Snacking Habits With Nutritional Status Early Age Children In Garessi National Kindergarten Wijayanti, Lumastari Ajeng; M, Warda; Simatupang, Rumiris; Reffita, Lea Ingne; Nurpratama, Widya Lestari; Palayukan, Safira S'; Mildaratu, Mildaratu; Pannyiwi, Rahmat
International Journal of Health Sciences Vol. 2 No. 4 (2024): IJHS : International Journal of Health Sciences
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59585/ijhs.v2i4.524

Abstract

The early childhood group is a group that is vulnerable to nutritional problems. Mothers' low knowledge about nutrition, infectious diseases and poor snacking habits often cause nutritional problems in early childhood. The aim of this research was to determine the relationship between maternal knowledge about nutrition, infectious diseases and snack habits with the nutritional status of early childhood children in Kindergarten in Garessi. This research method is an analytical survey with a cross sectional research design with a total sampling technique. This research was conducted on April 13 2023 using univariate and bivariate analysis with the chi-square test. The research results showed that there was a relationship between maternal knowledge and the nutritional status of early childhood with ap value of 0.004, infectious diseases with the nutritional status of early childhood with ap value of 0.001 and snack habits with the nutritional status of early childhood with ap value of 0.004. The conclusion is that the majority of mothers' knowledge about nutrition is lacking, namely 70.7%, 61% of young children who experience infectious diseases, 56.1% of young children who have bad snack habits and 56.1% of young children who experience abnormal nutritional status namely 53.7%. The research team hopes that mothers will maintain nutritional status in early childhood and prevent children from snacking carelessly.
FAKTOR FAKTOR YANG MEMPENGARUHI KEJADIAN GIZI BURUK DAN GIZI KURANG PADA BALITA DI DESA LASARABAGAWU WILAYAH KERJA PUSKESMAS MANDREHE BARAT KABUPATEN NIAS BARAT TAHUN 2019 Simatupang, Rumiris
Akrab Juara : Jurnal Ilmu-ilmu Sosial Vol. 5 No. 3 (2020)
Publisher : Yayasan Azam Kemajuan Rantau Anak Bengkalis

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Abstract

Masalah gizi merupakan masalah kesehatan masyarakat yang disebabkan oleh banyak faktor, sehingga penanggulangannya tidak cukup dengan pendekatan medis maupun pelayanan kesehatan saja. Menurut Kementerian Kesehatan Republik Indonesia (2013), prevalensi gizi buruk di Indonesia tahun 2007 (5,4%), tahun 2010 (4,9%), dan tahun 2013 (5,7%), sedangkan sasaran SDGs tahun 2019 yaitu 17%. Jenis penelitian deskriptif kuantitatif menggunakan desain cross-sectional untuk mengetahui faktor faktor yang mempengaruhi kejadian gizi buruk dan gizi kurang pada balita di Desa Lasarabagawu wilayah kerja puskesmas Mandrehe Barat tahun 2019. Populasi dalam penelitian ini adalah seluruh ibu balita yang menderita gizi buruk dan gizi kurang sebanyak 100 orang ibu balita. Sampel dalam penelitian ini sebanyak 81 balita. Cara pengambilan sampel berdasarkan proporsi masing masing sampel disetiap posyandu. Pengambilan sampel menggunakan metode proportional random sampling. Ada pengaruh jumlah anak(nilai p value= 0.001, OR= 0,141) , pendapatan (nilai p value= 0,001, OR= 59,800), pola asuh pemberian pola makan (pvalue=0,001, OR=57,0)dalam keluarga dengan Kejadian Gizi Kurang dan Gizi Buruk namun bukan merupakan faktor risiko kejadian Gizi Kurang dan Gizi buruk. Diharapkan ibu lebih aktif membawa anak ke ke posyandu sehingga ibu lebih dapat memanfaatkan posyandu sebagai sarana untuk bisa menggali informasi tentang gizi balita agar mampu memberikan perlakuan yang tepat bagi balita sesuai dengan usianya.
PENGARUH COOKIES TEPUNG AMPAS TAHU SUBSITUSI TEPUNG BERAS MERAH SERTA NILAI GIZINYA SEBAGAI MP-ASI UNTUK MENAIKKAN BERAT BADAN BAYI DI DESA BONANDOLOK KABUPATEN TAPANULI TENGAH TAHUN 2023 Simatupang, Rumiris
Journal of Innovation Research and Knowledge Vol. 3 No. 8: Januari 2024
Publisher : Bajang Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53625/jirk.v3i8.7355

Abstract

MP-ASI bubuk terlarut dari salah satu atau campuran serealia, umbi-umbian, bahan tepung, kacang-kacangan, biji-bijian, susu,ikan, daging, unggas dan Buah-buahan. Makanan anak-anak seharusnya tidak hanya membuat kenyang, tetapi juga memberi mereka nutrisi yang diperlukan. Protein adalah nutrisi yang terkait dengan pertumbuhan terhambat. Karena protein tidak hanya sebagai komponen, tetapi juga mengatur tubuh dan berperan dalam pembentukan DNA baru, kekurangan protein menyebabkan retardasi pertumbuhan jangka panjang Ampas tahu merupakan produk sampingan dari proses pembuatan tahu dari kedelai. Tahu memiliki kandungan protein dan serat yang cukup. Menurut daftar bahannya, kandungan gizi kue tahu sangat tinggi:100 gram mengandung protein 26,6%, lemak 18,3% dan karbohidrat 41,3%. Kandungan gizi ampas tahu masih sangat tinggi dan tersedia dalam jumlah banyak, sehingga sangat berpeluang untuk digunakan sebagai bahan tambahan dalam pengolahan makanan, misalnya pada produk bakery.Tujuan penelitian ini mengetahui Pengaruh cookies tepung ampas tahu subsitusi tepung beras merah dan nilai gizinya sebagai MP-ASI untuk menaikkan berat badan bayi. Desain penelitian ini pre eksperimen dengan rancangan one group pretest and posttest design. Penelitian ini menggunakan satu kelompok, yaitu balita yang diberi perlakuan 50 gr/5 keping/hari cookies ikan kembung selama 14 hari. Hasil uji statistik dengan uji Paired t test diperoleh nilai p 0,003< 0,05 yang menunjukkan ada peningkatan status gizi bayi dengan gizi kurang berdasarkan BB/U dengan pemberian cookies Ampas tahu subsitusi tepung beras merah Cookies hasil substitusi dengan tepung ampas tahu dengan tepung beras merah memberi sumbangan Energi sebesar 3921,2 kcal, Karbohidrat sebesar 580,65 g, Protein 108,7 g, dan lemak 128,8 g dalam 1000 gr.
The Role Of Local Wisdom In Efforts To Prevent Stunting In Toddlers In Coastal Areas Darwis, Amelia; Simatupang, Rumiris; Pannyiwi, Rahmat; Pramono, Edi
International Journal of Health Sciences Vol. 3 No. 4 (2025): IJHS : International Journal of Health Sciences
Publisher : Asosiasi Guru dan Dosen Seluruh Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59585/ijhs.v3i4.893

Abstract

Stunting is a chronic nutritional problem that remains a serious concern in Indonesia, particularly in coastal areas, which generally suffer from low levels of well-being, limited food access, and vulnerable environmental conditions. Stunting impacts not only a child's physical growth but also their cognitive development and future productivity. Furthermore, coastal communities possess a rich culture and local wisdom that can play a crucial role in maintaining food security and family nutritional status. This study aims to analyze in depth the role of local wisdom in preventing stunting in toddlers in coastal areas. This study used a qualitative approach with descriptive methods, through in-depth interviews with community leaders, mothers of toddlers, and health workers in coastal villages. Participatory observation and documentation studies were also conducted to obtain comprehensive data regarding local wisdom practices still practiced by the community. The results showed that forms of local wisdom such as the tradition of consuming fresh fish, the use of local plants (moringa leaves, sweet potatoes, bananas), and social values such as mutual cooperation and food arisan (social gatherings) have a significant contribution to preventing stunting . This local wisdom supports the fulfillment of balanced nutrition, strengthens social solidarity, and raises awareness of the importance of a healthy diet for toddlers. Modernization, changing consumption patterns, and coastal environmental degradation threaten the sustainability of these practices. Therefore, integrating local wisdom into government programs such as Posyandu (Integrated Health Posts), PKK (Family Welfare Movement), and nutrition education is necessary to strengthen culturally based stunting prevention strategies. Therefore, preserving and revitalizing local wisdom can be a sustainable solution to reducing stunting prevalence in Indonesia's coastal areas.
Machine Learning Models Prediction Medication Nonadherence Risk in Type 2 Diabetes: A Systematic Review Hulu, Victor Trismanjaya; Hulu, Yusuf Panserito; Telaumbanua, Kharis Meiwan K; Sirait, Reni Aprinawaty; Zebua, Arianus; Simatupang, Rumiris
Jurnal Keperawatan Priority Vol. 9 No. 1 (2026)
Publisher : Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jukep.v9i1.7859

Abstract

The prediction of medication nonadherence among patients with T2DM can be improved in accuracy and speed using machine learning (ML). This study aimed to develop an ML model to predict the risk of medication nonadherence among patients with T2DM. Methods, inclusion criteria comprised English-language, open-access journal articles published between 2020 and 2025 that developed and validated ML–based prediction models, including ensemble methods, gradient-boosting models, SVMs, and neural networks. Exclusion criteria included review articles, non-English papers, studies published before 2020, studies lacking prediction model development or validation, and studies using only traditional statistical methods, such as logistic regression. The article search was conducted in PubMed, Scopus, ScienceDirect, and Google Scholar. Prediction Model Risk of Bias Assessment Tool (PROBAST) to assess the methodological quality and usefulness of the qualified studies. This narrative synthesis examines the characteristics of ML-based prediction models, their performance, and the factors that predict adherence among patients with T2DM. The papers were sourced from various scientific journal databases. The results show that cross-sectional and cohort studies were among the research designs used in the five papers reviewed. The AUROC of the internal test was 0.782, and the AUROC of the external test was 0.771. The learned-feature classification model achieved an average accuracy of 79.7%. Among these algorithms, the AUC of the best-performing algorithm was 0.866 ± 0.082. The SVM classifier outperformed the others, achieving a recall of 0.9979 and an AUC of 0.9998. The conclusion indicates that predictive capacity is influenced by clinical metrics and the number of prescribed medications.
Co-Authors Darwis, Amelia Edi Pramono Hulu, Yusuf Panserito M, Warda Mildaratu, Mildaratu Nurpratama, Widya Lestari Palayukan, Safira S' Pannyiwi, Rahmat Reffita, Lea Ingne Sirait, Reni Aprinawaty Telaumbanua, Kharis Meiwan K Victor Trismanjaya Hulu Wijayanti, Lumastari Ajeng Zebua, Arianus