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All Journal International Journal of Health, Engineering and Technology Vitamedica: Jurnal Rumpun Kesehatan Umum Jurnal Intelek Dan Cendikiawan Nusantara Sevaka: Hasil Kegiatan Layanan Masyarakat
Nur Indah Nasution
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Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Dentistry Education Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Medicine & Pharmacology Nursing Public Health Veterinary Other

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Faktor-Faktor Yang Mempengaruhi Pemberian Imunisasi Dasar Pada Bayi Di Klinik Romana Tanjung Anom Kabupaten Deli Serdang Tahun 2024 Nur Indah Nasution
VitaMedica : Jurnal Rumpun Kesehatan Umum Vol. 2 No. 1 (2024): Januari : VitaMedica : Jurnal Rumpun Kesehatan Umum
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/vitamedica.v2i1.46

Abstract

Immunization is the most effective and efficient public health effort in preventing disease and reducing death rates. This study aims to determine the factors that influence the provision of basic immunizations to babies at the Romana Tanjung Anom Clinic 2024. The number of samples used was 35 people obtained using total sampling techniques. The data analysis technique uses chi square. The results obtained in this study were that the majority of respondents did not complete basic immunization, 22 people (62.9%), there was a relationship between the age variable with a value of p = 0.004, there was a relationship with the education variable with a value of p = 0.012, there was a relationship with the employment variable with a value of p = 0.036, there is a relationship between the knowledge variable with a value of p = 0.003, there is a relationship between the family support variable with a value of p = 0.010 with the provision of basic immunization. There is a relationship between maternal age, maternal education, maternal employment, maternal knowledge and family support with providing basic immunizations to babies. It is recommended for health services to increase mothers' knowledge about basic immunization for babies through education to increase the completeness of basic immunization for babies.
Nutrition Education During Pregnancy Increases Pregnant Women's Knowledge in Preventing Stunting Nadya Fitriani; Nur Indah Nasution; Nurhayani Harahap
VitaMedica : Jurnal Rumpun Kesehatan Umum Vol. 2 No. 3 (2024): Juli : VitaMedica : Jurnal Rumpun Kesehatan Umum
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/vitamedica.v2i3.137

Abstract

Stunting is a result of chronic malnutrition experienced by a person during pregnancy and early birth, which can increase infant and child mortality, make them susceptible to illness, and inhibit growth and development. The aim of the activity is to provide education about pregnancy nutrition to prevent stunting. The targets were 10 pregnant women in Tanjung Anom Village. The service methods are counseling and discussion. The results of the activity showed that after being given education, there was an increase in pregnant women's knowledge about nutrition during pregnancy and efforts to prevent stunting. Advice to village midwives and local Posyandu cadres to provide assistance to pregnant women in meeting nutritional needs in order to prevent stunting in future children.
Analisis Tingkat Pengetahuan Dukun Persalinan dalam Menolong Persalinan Menurut Standar Kesehatan dan Faktor-Faktor yang Mempengaruhinya Nur Indah Nasution; Nadya Fitriani
VitaMedica : Jurnal Rumpun Kesehatan Umum Vol. 2 No. 3 (2024): Juli : VitaMedica : Jurnal Rumpun Kesehatan Umum
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/vitamedica.v2i3.139

Abstract

This study aims to analyze the level of knowledge of birth attendants in assisting childbirth in accordance with applicable health standards, as well as identifying factors that influence the level of knowledge in Pancur Batu District, Deli Serdang Regency. The research method used was a descriptive survey with a quantitative approach, where data was collected through structured interviews and questionnaires given to 50 birth attendants in the area. Data analysis was carried out using descriptive and inferential statistical tests. The research results showed that the majority of birth attendants had low knowledge about health standards in assisting childbirth. Factors that influence this level of knowledge include age, education level, work experience, and access to health training. This research also found that birth attendants who have better access to information and training tend to have better knowledge of health standards. These findings indicate the need to improve training and education programs for birth attendants in Pancur Batu District, as well as strengthening collaboration between birth attendants and formal health workers to ensure that the delivery process is carried out in accordance with applicable health standards. This is expected to improve the quality of delivery services and reduce the risk of complications for mothers and babies.
Edukasi GERKASA-LASAKIT (Gerakan Lansia Sehat Sadar Penyakit) Nur Indah Nasution; Nadya Fitriani
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 3 No. 1 (2025): Februari : Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v3i1.307

Abstract

This community service project aims to raise awareness and knowledge about health among the elderly through the GERKASA-LASAKIT program (Movement for Healthy and Disease-Aware Seniors) in Dusun 1, Tanjung Anom Village, Deli Serdang Regency. This initiative is driven by the high prevalence of degenerative diseases and the lack of accurate information regarding the prevention and management of these diseases among seniors. Through comprehensive health education, it is hoped that the elderly can improve their quality of life by adopting a healthy lifestyle and gaining a better understanding of common illnesses they may face. The methods used in this project include health education sessions, practical training on early disease detection, and physical activities tailored to the physical condition of the elderly. Health education is provided by medical professionals and public health experts. Additionally, individual consultation sessions are held to offer more personalized care for each participant. The results of this activity show an increase in health knowledge and awareness among the elderly, as evidenced by high participation and enthusiasm in each session. Seniors involved in this program have also begun adopting healthier lifestyles, such as engaging in regular light exercise and having routine health check-ups. This project has successfully built a support network among the elderly, their families, and the local community, creating a more caring and health-conscious environment. Thus, the GERKASA-LASAKIT program makes a significant contribution to improving the quality of life for the elderly in Dusun 1, Tanjung Anom Village. The sustainability of this program is expected to serve as a model for other villages in efforts to enhance the welfare and health of the elderly at the local level.
Implementation of the Neural Network Algorithm in Monitoring Child Development to Screen for Developmental Disorders at an Early Age Santosa Pohan; Rani Darma Sakti Tanjung; Riyan Agus Faisal; Nur Indah Nasution; Nadya Fitriani; Juni Purwanto
International Journal of Health Engineering and Technology Vol. 4 No. 1 (2025): IJHET May 2025
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v4i1.272

Abstract

This research aims to implement a Neural Network (NN) in monitoring children's development, especially to detect developmental disorders from an early age. The data used includes variables such as Age, Height, and Weight, which have been normalized to have a uniform scale. The modeling process begins with the use of Convolutional Layers to extract important features from numerical data, which are then passed to the ReLU activation layer to introduce non-linearity to the model, enabling the detection of more complex patterns. After that, Max Pooling is carried out to reduce data dimensions and increase computing efficiency. This model was trained using 100 normalized data, and continued with the use of fully connected layers to process further information. In the output layer, a sigmoid activation function is used to generate probability predictions, allowing binary classification (whether a developmental disorder is present or not). Evaluation results show that this model has an accuracy of 85%, which indicates its effectiveness in detecting child developmental disorders based on available data. Although the results are promising, there is still room for improvement, especially in improving the model's accuracy and ability to handle more complex data. Overall, this research shows that Neural Networks can be a useful tool in the early detection of childhood developmental disorders, with potential for broad applications in the fields of children's health and education.
Analysis of Factors Causing Students' Failure to Complete Their Thesis on Time Using the Random Forest Algorithm Riszki Fadillah; Intan Nur Fitriyani; Nur Indah Nasution; Rahadatul 'Aisy Riadi; Dinda Salsabila Ritonga
International Journal of Health Engineering and Technology Vol. 3 No. 1 (2024): IJHET May 2024
Publisher : CV. AFDIFAL MAJU BERKAH

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55227/ijhet.v3i1.281

Abstract

This research aims to analyze the factors that influence students' delays in completing final assignments using the Random Forest algorithm. The data used includes variables such as GPA, number of credits, employment status, frequency of guidance, organizational activities, and personal motivation. These variables were analyzed to determine their effect on students' ability to complete their final assignments on time. The Random Forest model is applied to predict whether students complete their final assignments on time or not. The model results show an accuracy of 63.33%, with the frequency of guidance and personal motivation being the most influential factors in completing the final assignment on time. Followed by the number of credits and GPA, which also have a significant but smaller influence. Organizational activity factors and employment status have a lower contribution to tardiness, but are still relevant in the context of student time management. Based on these results, research suggests the importance of academic guidance support and motivation management to help students overcome obstacles in completing their final assignments on time. This research, which uses the case of ITKES Ika Bina students, is expected to provide recommendations for universities in improving the academic mentoring process to support student graduation.
Penyuluhan Klasifikasi Gejala Keterlambatan Bicara (Speech Delay) Pada Anak Menggunakan Algoritma Naive Bayes, C4.5, Dan K-Nerest Neighbor (K-NN) Putri Ramadani; Ika Ima Nissa; Nur Indah Nasution; Baginda Restu Al Ghazali
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 2 No. 2 (2024): Mei : Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v2i2.534

Abstract

Speech delay in children is a developmental issue commonly encountered in society, which can affect various aspects of a child's life, including communication, social interaction, and academic development. Early detection of speech delay is crucial for providing appropriate interventions to minimize its long-term impact on the child. This study aims to introduce the use of machine learning algorithms in detecting speech delay symptoms in children. Three machine learning algorithms applied in this study are Naïve Bayes, C4.5, and K-Nearest Neighbor (K-NN). These algorithms are used to classify speech delay symptoms based on health data, medical history, and environmental factors such as speaking habits and eating patterns. The outreach was conducted at Puskesmas Kota Rantauprapat with the involvement of parents and healthcare providers as participants. The experimental results showed that all three algorithms performed well in terms of accuracy, though with varying error rates. Naïve Bayes achieved relatively high accuracy but had a higher false positive rate compared to C4.5 and K-NN. C4.5 provided more stable results and was easier to interpret due to its decision tree structure. Meanwhile, K-NN performed better with data that had irregular distribution. This outreach is expected to assist both the community and healthcare providers in early detection of speech delay in children, providing a more efficient and affordable means for early intervention, which ultimately leads to better outcomes for children with speech delay.
Melek Literasi: Mahasiswa KKN STAIN Mandailing Natal Hadirkan Ruang Baca dan Edukasi di Desa Saba Dolok, Kecamatan Kotanopan Andy Hakim; Nikmah Hayati; Nur Indah Nasution; Khairun Nisa; Sri Wahyu Khairani; Putri Rahma Yani; Majidah Nasution; Sukma Yanti; Amir Hamzah Lubis; Muhammad Dandi; MHD. Aulia Syahbana
Jurnal Intelek Dan Cendikiawan Nusantara Vol. 2 No. 4 (2025): AGUSTUS - SEPTEMBER 2025
Publisher : PT. Intelek Cendikiawan Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Penelitian ini bertujuan untuk mendeskripsikan upaya penguatan literasi yang dilakukan oleh mahasiswa KKN STAIN Mandailing Natal melalui program Melek Literasi di Desa Saba Dolok, Kecamatan Kotanopan. Latar belakang kegiatan ini adalah rendahnya minat baca anak-anak desa dan keterbatasan fasilitas literasi yang tersedia. Penelitian menggunakan pendekatan kualitatif dengan metode deskriptif. Data dikumpulkan melalui observasi partisipatif, wawancara mendalam, dan dokumentasi, kemudian dianalisis dengan model interaktif Miles & Huberman yang mencakup reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa program les malam yang diadakan setiap Senin hingga Kamis di kantor desa berhasil meningkatkan partisipasi dan motivasi belajar anak-anak, ditandai dengan meningkatnya jumlah kehadiran dan antusiasme mereka dari minggu ke minggu. Program ini tidak hanya memperkuat budaya literasi di desa, tetapi juga memberikan dampak positif bagi pengembangan keterampilan sosial dan akademik anak-anak. Kesimpulannya, Melek Literasi merupakan bentuk nyata pengabdian mahasiswa yang mampu menciptakan lingkungan belajar yang kondusif dan mendorong tumbuhnya minat baca.
Peningkatan Kepatuhan Konsumsi Tablet Fe Pada Ibu Hamil Melalui Peran Tenaga Kesehatan Di Wilayah Kerja Puskesmas Kabupaten Asahan Tahun 2023 Nur Indah Nasution; Indri Putri Nikanti
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 2 No. 1 (2024): Februari : Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v2i1.53

Abstract

Iron plays a crucial role in fetal growth, making its consumption essential for pregnant women. This community service journal discusses initiatives to enhance adherence to iron tablet consumption among pregnant women, involving the active participation of healthcare professionals in the Puskesmas Kabupaten Asahan area in 2023. The research aims to identify factors influencing pregnant women's adherence to iron tablet consumption and to develop intervention strategies involving healthcare professionals. The research methodology employs a participatory approach, engaging healthcare professionals and pregnant women as research subjects. Results indicate that factors such as knowledge, motivation, and social support significantly contribute to improving adherence to iron tablet consumption among pregnant women. Intervention approaches involving active roles of healthcare professionals, such as counseling, regular monitoring, and emotional support, have proven successful in increasing adherence levels. These findings serve as a foundation for developing more effective intervention programs to enhance the health of pregnant women in the working area of Puskesmas Kabupaten Asahan in 2023.
Pemberdayaan Pekerja Informal Untuk Kepersetaan Mandiri Dalam Asuransi Kesehatan Nur Indah Nasution; Nadya Fitriyani; Indah Kumala Dewi
Sevaka : Hasil Kegiatan Layanan Masyarakat Vol. 3 No. 4 (2025): November : Sevaka : Hasil Kegiatan Layanan Masyarakat
Publisher : STIKES Columbia Asia Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62027/sevaka.v3i4.584

Abstract

Informal workers are a group that contributes significantly to the Indonesian economy, but still have a low level of independent participation in the national health insurance program. This low participation is caused by minimal insurance literacy, income instability, and a lack of awareness of the importance of health protection. This activity aims to empower informal workers to have the ability and willingness to become independent participants in health insurance. The method used is a community-based participatory approach through three main stages: education on the benefits of health insurance, microfinance management training for regular premium payments, and assistance with independent registration for participation. The activity results showed a significant increase in participants' knowledge and understanding of the benefits of health insurance. In addition, there was an increase in the number of informal workers registering as independent participants and demonstrating a commitment to sustainable premium payments. This program demonstrates that community empowerment can be an effective strategy to expand Universal Health Coverage (UHC) and improve the welfare of informal workers through sustainable health protection.
Co-Authors Amir Hamzah Lubis Andy Hakim Baginda Restu Al Ghazali Dinda Salsabila Ritonga Ika Ima Nissa Indah Kumala Dewi Indri Putri Nikanti Intan nur Fitriyani Juni Purwanto Khairun Nisa Majidah Nasution MHD. Aulia Syahbana Muhammad Dandi Nadya Fitriani Nadya Fitriyani Nikmah Hayati Nurhayani Harahap Putri Rahma Yani Putri Ramadani Rahadatul 'Aisy Riadi Rani Darma Sakti Tanjung Riszki Fadillah Riyan Agus Faisal Santosa Pohan Sri Wahyu Khairani Sukma Yanti