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All Journal Jurnal Ilmiah Didaktika : Media Ilmiah Pendidikan dan Pengajaran PREPOTIF : Jurnal Kesehatan Masyarakat Babali Nursing Research Computer Science (CO-SCIENCE) Jurnal Komputer, Informasi dan Teknologi Jurnal Pengabdian kepada Masyarakat Wahana Usada International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Brilliance: Research of Artificial Intelligence Jurnal MathEducation Nusantara International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) MEDALION JOURNAL: Medical Research, Nursing, Health and Midwife Participation

Utaminingsih, Eka

Universitas Bumi Persada, Aceh, Indonesia

Author-ID : 1980404

Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Health Professions Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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UPAYA PENINGKATAN HASIL BELAJAR SISWA PADA MATERI KOMUNIKASI DARING ASINKRON MELALUI METODE TUTOR SEBAYA KELAS X PBS SMK NEGERI 3 LHOKSEUMAWE (The Efforts to Improve Students’ Learning Outcomes on Asynchronous Online Communication Materials through The Tutor Method for Class X PBS SMK Negeri 3 Lhokseumawe) Zahratul Fitri; Muhammad Faisal; Eka Utaminingsih
Jurnal Ilmiah Didaktika Vol 22, No 1 (2021): Jurnal Ilmiah Didaktika Agustus 2021
Publisher : Center for Research and Publication Universitas Islam Negeri (UIN) of Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/jid.v22i1.7894

Peer tutors are used for students assigned to help with learning difficulties because the relationship between friends is closer than the relationship between teachers. The selection of the Peer Tutor learning model is beneficial for students working on material to their peers. The research objective was to improve student learning outcomes by applying the Peer Tutor method on Asynchronous Online Communication material in class X PBS SMKN 3 Lhokseumawe. The results showed that student learning outcomes on Asynchronous Online Communication material increased from cycle I to cycle II. In cycle I of 28 students with 22 students completeness, the average score was 74.1, and the percentage level of learning completeness was 78. , 6% and an increase in cycle II, namely as many as 25 students completed learning from 28 students, the average score was 77.8, with the percentage level of learning completeness of 89%, and the level of student activity in learning increased, such as discussing activities with friends. The group in cycle I amounted to 11.90% and increased in cycle II by 16.28%, which impacted student learning outcomes. The conclusion is that the Peer Tutor method can be used in the learning of Digital Communication and Simulation, which positively impacts students' learning outcomes on Asynchronous Online Communication material for class X PBS students of SMKN 3 Lhokseumawe. Furthermore, it can be used as an alternative to learning in other materials.

Pengelompokan Fitur Color Structure Descriptor (CSD) Menggunakan Support Vector Machine (SVM) Untuk Citra Busana Tradisional Aceh Eka Utaminingsih; Rika Silviani; Zahratul Fitri
Jurnal MathEducation Nusantara Vol 4, No 1 (2021): January 2021
Publisher : Universitas Muslim Nusantara Al Washliyah

Penerapan Metode Computational Thinking Pada Kurikulum Aceh Untuk Mencapai Kognitif "Mencipta" di SMK Kota Lhokseumawe Zahratul Fitri; Eka Utaminingsih
Jurnal MathEducation Nusantara Vol 4, No 1 (2021): January 2021
Publisher : Universitas Muslim Nusantara Al Washliyah

Pemberdayaan Masyarakat dalam Menurunkan Stunting sebagai Pencapaian Target SDGs di Desa Ulee Blang Mane Kota Lhokseumawe Ardilla, Arista; Utaminingsih, Eka; Zulkarnaini, Zulkarnaini; Sari, Dian Vita
Jurnal Pengabdian kepada Masyarakat Wahana Usada Vol. 5 No. 2 (2023): Desember: Jurnal Pengabdian kepada Masyarakat Wahana Usada
Publisher : Sekolah Tinggi Ilmu Kesehatan KESDAM IX/Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47859/wuj.v5i2.384

Background Stunting is one of the nation's problems that must be addressed immediately. According to the Ministry of Health's Basic Health Research (Riskesdas) data, the national stunting rate has decreased from 37.2% in 2013 to 30.8% in 2018. According to the Indonesian Toddler Nutrition Status Survey in 2019, this rate decreased to 27.7%. Stunting reduction has been declared a national priority program. This refers to the Sustainable Development Goals (SDGs) agenda which consists of 17 goals agreed upon by UN members, where the problem of stunting is one of the targets that must be considered. Purpose This activity aims to help improve the health status of the community, increase community knowledge, awareness and concern about stunting and increase community creativity in stunting prevention efforts through assistance in making nutritious food. Methods Face-to-face and counseling and conducting physical examinations of toddlers in Ulee Blang Manee Village. Results In Ulee Blang Mane Village there are 17 toddlers who are stunted. While the geographical conditions of Ulee Blang Mane village are still relatively close to the city center and also have the potential to grow the community's economy. This potential should be unique to the community in increasing family nutrition consumption so that it can reduce the problem of stunting. the results of the activity show that the Ulee Blang Mane village community has an increased understanding of how to prepare nutritious food to prevent stunting. Conclusion Appropriate and targeted socialization related to feeding toddlers is important to do and a more in-depth study is needed related to feeding by mothers or families including obstacles in its implementation.

Analysis of The Implementation of Countermeasure Policies Against Stunting Arista Ardilla; Zulkarnaini Zulkarnaini; Eka Utaminingsih; Desy Irafadillah Effendi; Dian Vita Sari; Fatmawati Fatmawati
Babali Nursing Research Vol 5 No 2 (2024): April
Publisher : Babali Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37363/bnr.2024.52321

Introduction: Stunting is a major nutrition problem worldwide, especially in poor and developing countries. This problem leads to children's suboptimal brain, mental, and cognitive development. The stunting rate globally was 32.6% in 2000, and by 2017, around 150.8 million people were suffering from malnutrition and stunting. This research aims to determine the implementation of stunting prevention policies in the Puskesmas (Public Health Centre) Blang Cut working area.Methods: The research used a qualitative method with a descriptive approach to analyze the implementation of countermeasure policies to reduce stunting. The Health Belief Model was used as the theoretical framework. The methodological orientation of this research was discourse analysis. The study used an interview guide and a voice recorder to collect information from 9 informants.Results: Puskesmas Blang Cut has implemented several countermeasure policies to reduce stunting. These include increasing awareness about the importance of proper nutrition and hygiene, training healthcare workers on stunting prevention, and monitoring children's growth regularly. Implementing these policies has led to a significant reduction in the prevalence of stunting. However, some challenges still need to be addressed, such as increasing access to healthcare services and improving the quality of healthcare facilities.Conclusion: Communication factors related to implementing Countermeasure Policies in Stunting Reduction have been running well. The puskesmas has carried out all stunting reduction program activities, but the more dominant one is the Supplementary Feeding Program for those affected by stunting.

HUBUNGAN METODE DISTRAKSI VISUAL TERHADAP NYERI PADA PEMASANGAN INFUS ANAK PRA SEKOLAH DI INSTALASI GAWAT DARURAT RUMAH SAKIT UMUM CUT MEUTIA LHOKSEUMAWE Ardilla, Arista; Zulkarnaini, Zulkarnaini; Utaminingsih, Eka; Effendi, Desy Iradillah; Fatmawati, Fatmawati
PREPOTIF : JURNAL KESEHATAN MASYARAKAT Vol. 8 No. 3 (2024): DESEMBER 2024
Publisher : Universitas Pahlawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/prepotif.v8i3.33746

Reaksi anak dalam mengatasi krisis dipengaruhi oleh tingkat perkembangan anak, diantar lain : usia, pengalaman sebelumnya terhadap proses sakit dan dirawat. Anak usia prasekolah sangat sulit untuk memahami prosedur invasif yang dapat menyebabkan nyeri seperti saat pemasangan infus. Penelitian ini menggunakan metode analitik bertujuan untuk mengetahui hubungan antara variable dimana veriabel independen dan variable dependen diidentifikasi pada satu waktu yang bersamaan. Berdasarkan katagori usia mayoritas perempuan sebanyak 57 orang (54,3%). Berdasarkan katagori umur mayoritas 3-4 tahun sebanyak 83 orang (79%). Pemasangan infus metode distraksi visual anak pra sekolah di Instalasi Gawat Darurat Rumah Sakit Umum Cut Meutia Lhokseumawe mayoritas efektif sebanyak 93 orang (88,6%). Tingkat Nyeri pada pemasangan infus anak pra sekolah di Instalasi Gawat Darurat Rumah Sakit Umum Cut Meutia Lhokseumawe mayoritas nyeri sedang sebanyak 64 orang (61%). Hasil analisis bivariat menggunakan uji Chi-square penurunan nyeri dengan tingkat kepercayaan 95% (? 0,05) nilai p value atau nilai Asymp. Sig. (2-sided) yaitu 0.001 artinya nilai P value 0.001 ? 0.05. Hal ini menunjukan bahwa ada hubungan yang signifikan antara metode distraksi visual terhadap nyeri pada pemasangan infus anak pra sekolah di Instalasi Gawat Darurat Rumah Sakit Umum Cut Meutia Lhokseumawe. Diharapkan kepada pihak Rumah Sakit agar hasil penelitian ini dapat dijadikan acuan dalam terapi nonfarmakologi pada anak saat tindakan invasif terutama pemasangan infus.

Analisis Minat dan Kreativitas Belajar Siswa dengan Menggunakan Aplikasi Google Classroom di SMKS Kesehatan Darussalam Lhokseumawe Utaminingsih, Eka
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 2 (2024): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i2.1879

The COVID-19 pandemic required schools to implement learning and training activities online. Google Classroom is one of the online learning platforms developed by Google and widely used during the pandemic. This research aimed to measure the level of creativity and interest of students in online ICT learning at SMKS Kesehatan Darussalam Lhokseumawe. A qualitative descriptive research design was employed, involving 28 students from SMKS Kesehatan Darussalam Lhokseumawe as participants. Research instruments included personal and online questionnaires consisting of 23 statements about interest and 15 questions about students' creativity in learning. The results showed that the majority of students had a high interest in online learning using Google Classroom, as reflected in the indicators of emotional happiness, attention, and interest, which achieved very good and good categories. Additionally, student engagement was also high. Analysis of pre-test and post-test creativity results also indicated an increase in students' creativity after following online learning. Therefore, online learning using Google Classroom has proven effective in increasing students' learning interest and creativity at SMKS Kesehatan Darussalam.

WEB-BASED MEDICAL EXPERT SYSTEM FOR DIAGNOSING KIDNEY DISEASES: THE SYSTEMATIC LITERATURE REVIEW Ghialti Novilia; Muhammad Kahfi Aulia; Eka Utaminingsih
MEDALION JOURNAL: Medical Research, Nursing, Health and Midwife Participation Vol. 5 No. 3 (2024): September
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59733/medalion.v5i3.148

The kidneys play a vital role in filtering toxins from the blood, producing hormones, and maintaining metabolic processes in the body. However, kidney diseases, including kidney stones, kidney infections, and kidney failure, are increasingly prevalent due to poor lifestyle choices. Expert systems, designed to simulate the decision-making capabilities of specialists, are gaining prominence in diagnosing various diseases, including kidney disorders. This study employs a Systematic Literature Review (SLR) methodology to analyze eight recent articles on web-based expert systems for kidney disease diagnosis. The review examines various expert system approaches, including Certainty Factor, Dempster Shafer, and Forward Chaining, and their effectiveness in diagnosing conditions like kidney stones, acute kidney failure, and chronic kidney disease. The results reveal that while these systems offer reliable diagnoses and are accessible across multiple platforms, there is a need for further research in expanding the range of diagnosable diseases and refining diagnostic criteria. Suggestions for future work include incorporating user-specific data, such as gender and lifestyle, and exploring alternative diagnostic approaches like fuzzy logic systems. This study contributes valuable insights into the development of more comprehensive and accessible web-based expert systems for kidney disease diagnosis, which could support healthcare practitioners and patients alike in the timely detection and management of kidney-related conditions.

Automated Recognition of Batik Aceh Patterns Using Machine Learning Techniques Utaminingsih, Eka; Sahputra, Ilham
Brilliance: Research of Artificial Intelligence Vol. 4 No. 2 (2024): Brilliance: Research of Artificial Intelligence, Article Research November 2024
Publisher : Yayasan Cita Cendekiawan Al Khwarizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/brilliance.v4i2.4831

This research focuses on the automatic recognition of Aceh batik patterns using machine learning techniques. Utilizing a Convolutional Neural Network (CNN) model based on EfficientNet, a dataset consisting of 1,200 Aceh batik images was processed through various stages, from data collection to model training and evaluation. The images are divided into three main classes: Bungong Jeumpa, Ceplok, and Kerawang. The data processing steps include normalization, resizing, and data augmentation to ensure better variation. The model was trained using 75% of the data as a training set and 25% as a testing set. The results indicate that the model performed excellently, achieving an accuracy rate of 98%. According to the classification report, the model achieved an average precision, recall, and F1-score of 0.98. The Kerawang category achieved the highest precision at 100%, while the Bungong Jeumpa and Ceplok categories had F1-scores of 0.98 and 0.97, respectively. These findings demonstrate the potential of machine learning methods in recognizing Aceh batik patterns with high accuracy, supporting the preservation of local culture through technology.

Model Prediksi Risiko Kesehatan Perkotaan Berbasis Lingkungan dengan XGBoost Aulia, Muhammad Kahfi; Utaminingsih, Eka; Prihatin, Nanang
Computer Science (CO-SCIENCE) Vol. 5 No. 2 (2025): Juli 2025
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/coscience.v5i2.9109

Poor urban air quality is a major public health concern, especially in highly urbanized areas. This study aims to predict health risks associated with air pollution using machine learning techniques based on environmental variables. The dataset used, Urban Air Quality and Health Impact, contains 1,000 rows and 46 columns, including temperature, humidity, wind speed, dew point, ultraviolet (UV) index, and health risk scores from major U.S. cities. As an improvement over previous studies using linear regression and Random Forest (R-squared 0.89; Mean Squared Error/MSE 0.65), this research implements an optimized Extreme Gradient Boosting (XGBoost) model. The model was fine-tuned using Randomized Search on key hyperparameters and evaluated with an 80:20 data split. It achieved an R-squared of 0.9692 and MSE of 0.0122. Dew point and wind speed were identified as the most influential features. Although synthetic, the dataset reflects environmental patterns similar to Indonesian urban areas. This study does not adopt a text mining framework but instead uses a supervised regression approach based on environmental features. Its main novelty lies in the first application of an optimized XGBoost model using complex variables such as feels-like temperature to estimate urban health risk. Limitations include the absence of real-world validation with Indonesian data and the lack of analysis on interactions between variables

Co-Authors AA Sudharmawan, AA Arista Ardilla Aulia, Muhammad Kahfi Ayu Anora Desy Irafadillah Effendi Dian Vita Sari Effendi, Desy Iradillah Elfrida Ratnawati Fatmawati Fitriani Ghialti Novilia Ismuhadi Muhammad Faisal Muhammad Kahfi Aulia Muhammad Multazam Muttaqien Prihatin, Nanang Rahmiatul Aula Rico Nur Ilham Rifki Rika Silviani Sahputra, Ilham Zahratul Fitri Zanuar Rizkiansyah Zulkarnaini Zulkarnaini

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