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All Journal International Journal of Public Health Science (IJPHS) JURNAL GIZI INDONESIA JURNAL PROMOSI KESEHATAN INDONESIA Jurnal Kesehatan Masyarakat Althea Medical Journal Jurnal Berkala Epidemiologi Public Health of Indonesia Jurnal Kesehatan AcTion: Aceh Nutrition Journal JURNAL MUTIARA NERS Jurnal Keperawatan Priority Jurnal Kesmas Prima Indonesia Abdi Dosen : Jurnal Pengabdian Pada Masyarakat Jurnal Aisyah : Jurnal Ilmu Kesehatan AgriHealth: Journal of Agri-food, Nutrition and Public Health Jurnal Kesehatan Tambusai Open Access Health Scientific Journal Sehat Rakyat: Jurnal Kesehatan Masyarakat Buletin Kedokteran dan Kesehatan Prima International Journal of Health and Pharmaceutical (IJHP) Jurnal Riset Rumpun Ilmu Kedokteran (JURRIKE) Data Sciences Indonesia (DSI) Jurnal Kedokteran Ibnu Nafis Promotor: Jurnal Mahasiswa Kesehatan Masyarakat Journal of Engineering and Science Application
Victor Trismanjaya Hulu
Fakultas Kesehatan Masyarakat, Universitas Prima Indonesia, Medan Petisah, Sumatera Utara
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Dentistry Education Environmental Science Health Professions Immunology & microbiology Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Veterinary Other

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Risk Factors for Overweight Among Students at SDN 104219 Tanjung Anom Sibagariang, Eva Ellya; Hulu, Victor Trismanjaya; Ginting, Anabel Tesalonika BR
Open Access Health Scientific Journal Vol. 6 No. 2 (2025): August 2025
Publisher : Griya Eka Sejahtera

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55700/oahsj.v6i2.99

Abstract

Background: The increase in cases of malnutrition among elementary school children is caused by high-energy, low-fiber diets, inactive lifestyles, environments that encourage fast food consumption, and a lack of nutrition education. This study aims to analyze risk factors for overweight among elementary school students.Methods: This study used a cross-sectional design conducted on April 20-21, 2025, at SDN 104219 Tanjung Anom. The research subjects were all grades IV and V students, totaling 52 people, who were selected using the total sampling technique. The independent variables consisted of fast food, sweet food, snack food, fruit and vegetable consumption, and physical activity. The dependent variable was overweight. Food consumption data were collected using the 2×24-Hour Recall method (school days and weekends) to obtain a more accurate picture of average intake. Physical activity was measured with the Physical Activity Questionnaire for Children (PAQ-C). Data analysis using the Chi-square test and logistic regression.Results: Fast food consumption (p < 0.001; OR = 10.8; 95% CI = 2.512-46.423), consumption of sweets (p < 0.001; OR = 23.8; 95% CI = 4.383-126.670), snack consumption (p < 0.001; OR = 15.4; 95% CI = 2.898-25.959) has a significant association with overweight of school children. Fruit and vegetable consumption (p = 0.509; OR = 0.66; 95% CI = 0.187-2.302), physical activity (p = 0.238; OR = 0.47; 95% CI = 0.135-1.657) showed no significant association with overweight of school children.Conclusion: Eating fast food, sweet foods, and snacks more than three times a week is a risk factor for overweight in elementary school children.
Studi Cross Sectional: Eksplorasi Pengetahuan dan Sikap Tentang Pengelolaan Diri pada Pasien Diabetes Mellitus Tipe 2 Sheila Anjelyn Tarigan; Victor Trismanjaya Hulu; Simanjuntak, Mafe Robbi
Sehat Rakyat: Jurnal Kesehatan Masyarakat Vol. 4 No. 3 (2025): Agustus 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/sehatrakyat.v4i3.5139

Abstract

Type 2 diabetes mellitus (DM) is a chronic disease that requires active patient participation in self-management to prevent complications and maintain optimal and sustainable quality of life. This study aims to explore knowledge and attitudes about self-management in patients with type 2 DM. This study used a descriptive method with a cross-sectional approach. The study was conducted at Puskesmas Medan Johor Pangkalan Masyhur, Medan Johor Sub-district, in 2024. The study population was all type 2 DM patients aged 40 to 60 years, totalling 213 people. A sample of 102 respondents was selected using a simple random sampling technique. Data were collected using a questionnaire to assess the level of knowledge and attitude of patients with type 2 diabetes. The data obtained were then processed and analyzed descriptively to determine the frequency distribution of each variable studied. The results showed that as many as 55.9% of patients with type 2 DM had poor knowledge about self-management, and 44.1% had good knowledge. A total of 23.5% of patients with type 2 diabetes mellitus had a negative attitude, and 76.6% had a positive attitude. The conclusion is that most type 2 DM patients have poor knowledge about self-management, although the majority show a positive attitude.
Association of Risk Factors with Type 2 Diabetes: A Scoping Review Hulu, Victor Trismanjaya; Saragih, Julwansa; Damanik, Balqis Nurmauli; Damanik, Derma Wani; Yunia, Eva Anita; Sinurat, Buenita
Jurnal Keperawatan Priority Vol. 7 No. 2 (2024)
Publisher : Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jukep.v7i2.5305

Abstract

The incidence of type 2 diabetes mellitus (type 2 DM) is one of the public health problems worldwide, with various factors as risk factors that can lead to high morbidity and mortality rates for people with type 2 DM. This study aims to identify, investigate, and summarize various scientific evidence related to risk factors for type 2 DM. The approach used in this study was a scoping review with the PRISMA protocol. The PICO framework was used as an early-stage strategy in conducting article searches. Databases such as Google Scholar, PubMed, Scopus, and ScienceDirect were used as literature search tools. The study inclusion criteria were journal articles published from 2016 to 2024 and English-language articles with open access. Of the 157 journal articles identified, only 11 were eligible for analysis after selection and eligibility. The data extraction stage was conducted by six people on 11 eligible articles and continued with the qualitative data analysis process. The study reported that age, education, duration of DM, gender and income, physical activity, obesity, consumption of sugary foods and beverages, and low fruit consumption are risk factors for type 2 DM.
FAKTOR-FAKTOR YANG MEMENGARUHI MINAT IBU MEMILIH IMPLANT SEBAGAI ALAT KONTRASEPSI KELUARGA BERENCANA Trismanjaya Hulu, Victor
Jurnal Kesmas Prima Indonesia Vol. 4 No. 1 (2020): Edisi Januari
Publisher : Program Studi Sarjana Kesehatan Masyarakat Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/jkpi.v4i1.945

Abstract

Berdasarkan data Laporan Puskesmas Desa Lalang di Kelurahan Desa Lalang Tahun 2017 sebanyak 257 orang orang menjalani program Keluarga Berencana (KB), IUD sebanyak enam jiwa (2,33%), KB Implant lima jiwa (1,94%), KB Suntik 92 jiwa (35,79%), KB Pil 102 jiwa (39,68%) dan KB Kondom 52 jiwa (20,23%). Berdasarkan hasil wawancara penulis dengan delapan responden akseptor KB bahwa tiga orang mengatakan takut menggunakan alat kontrasepsi implant, tiga orang mengatakan belum tahu tentang alat kontrasepsi implant dan dua orang mengatakan tidak mendapatkan dukungan suami. Penelitian ini menggunakan Survey Analitik yang bertujuan untuk mengetahui faktor-faktor (pengetahuan, sikap dan dukungan suami) yang memengaruhi rendahnya minat ibu untuk memilih implant sebagai alat kontrasepsi di Kelurahan Desa Lalang. Rancangan penelitian yang digunakan adalah Cross Sectional dengan menggunakan kuesioner sebagai intrumen penelitian dengan jumlah responden 70 orang melalui consecutive sampling. Data dianalisis dengan menggunakan rumus regresi linier. Adanya hasil penelitian ini adalah sebagai berikut: Dimensi pengetahuan didapatkan p-value = 0,006, dimensi sikap didapatkan p-value = 0,008, dimensi dukungan suami didapatkan p-value = 0,000. Ketiga dimensi tersebut mempunyai p <0,05 yang berarti terdapat pengaruh antara pengetahuan, sikap dan dukungan suami dengan minat ibu untuk memilih implant sebagai alat kontrasepsi KB
Mental Health Exploration and Screening in Adults and Elderly Age Groups Frans Judea Samosir; Victor Trismanjaya Hulu; Hartono; Aida Julpa; Yohana Trisintya Sinurat
International Journal of Health and Pharmaceutical (IJHP) Vol. 2 No. 1 (2022): February 2022
Publisher : CV. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (136.391 KB) | DOI: 10.51601/ijhp.v2i1.25

Abstract

Mental health is an issue that is often discussed during the Covid-19 pandemic. It is critical to understand mental health for realizing its beneficial aspects. Early detection or screening of mental health status is an excellent step to prevent mental health problems. The researchers are interested in screening mental health problems in groups of adults and the elderly. This research design is a descriptive study with a cross-sectional data collection approach. The population in this study were all residents on Jalan Pasar VII Padang Bulan, Medan. The research sample was 139 people who were recruited by non-probability sampling with purposive sampling technique. Data collection was carried out from August to December 2021. The questionnaire used in this study is the Depression Anxiety Stress Scales (DASS 42) questionnaire, which is a tool for measuring stress, anxiety, and depression levels which contains 42 questions. This study shows that from 139 respondents, 54 people (38.85) suffer from mental health problems. Types of mental health problems experienced by respondents were stress as much as 32 people (23%), 54 people (38.85%) experienced anxiety, and 36 people experienced depression (25.9%). It is crucial for the community to educate themselves on how to manage their mental health in a healthier way.
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 Abdi Dharma Abdul Wahab ACHMAD RIFAI Achmad Rifai Addin Amrulah Aditya Bastanta Guru Singa Aida Julpa Aminuyati Balqis Nurmauli Damanik Binarwan Halim Buenita, Buenita Crispin, Andrian Reinaldo Damanik, Derma Wani DAMERIA DAMERIA Dameria Gultom Defacto Firmawati Zega Dewi Susanti Dewi Susanti Dewi, Rani Sartika Edbert, Edbert Eka Lolita Eliyanti Pakpahan Eka Lolita Eliyanti Pakpahan Ellista Anatasia Sinaga Fadilla Ripta Frans Judea Samosir Frans Judea Samosir Ginting, Anabel Tesalonika BR Gultom, Dameria Handayani, Sri Harahap, Emira Nadiah Haris, Muhammad Akbar Hartono Hartono Hartono Hartono Hasibuan, Nadilla Holan Dianju Melva Meinaria Sitanggang Hulu, Yusuf Panserito Ignatius Sandyawan Imanuel Sibero Jamhari Jamhari Jeremia Chandra Partogi Siallagan Julianto Julianto Jumadi Kipli Sinaga Kamble, Pratik Bibhisan Karo Karo, Ulina Lase, Dian Veronika Linda Suryani Sihaloho Mafe Robbi Simanjuntak Manalu, Madeline Elisa Patricia Masryna Siagian NAUFAL, NAUFAL Novita Marcelina, Diah Pakpahan, Eka Lolita Eliyanti Pane, Putri Yunita Panjaitan, Hajijah I. L. Pardede, Ribka Rusiani Perry Boy Chandra Siahaan Putranto Manalu Putri Marlinang Manalaksak Hutajulu Rafika, Nazla Ghina Rahmi, Nurfadhilah Rambe, Fadilah Ummul Choiriyah Rapael Ginting Ribka Rusiani Pardede Robert Kurniawan, Robert Rotua Sumihar Sitorus S, Buenita Samosir, Frans Judea Santy Deasy Siregar Saragih, Julwansa Sheila Anjelyn Tarigan Siagian, Masryna Sibagariang, Eva Ellya Sihaloho, Linda Suryani Sijabat, Vina Helsa Laora Simanjuntak, Mafe Robbi Simanjuntak, Wiwi April Yanti Simatupang, Rumiris Sinaga, Suharni Pintamas Sinambela, Megawati Singarimbun, Nurbaiti Br Sinurat, Buenita Sirait, Reni Aprinawaty Syahputri, Ratu Julia Tarigan, Nita Kastrina Telaumbanua, Kharis Meiwan K Ulina Karo Karo Vina Helsa Laora Sijabat Waruwu, Fransiska Lalania Widya Yanti Sihotang Yohana Trisintya Sinurat Yohanna Adelina Pasaribu Yuliandini, Marsheila Yunia, Eva Anita Zebua, Arianus Zendrato, Victorwan Novri