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All Journal Phi : Jurnal Pendidikan Fisika dan Terapan Journal of Architectural Research and Education JURNAL ILMU DAN TEKNOLOGI KESEHATAN TERPADU Jurnal Ilmiah Mahasiswa Arsitektur dan Perencanaan Leuser Journal of Environmental Studies Journal of Educational Management and Learning
Zahriah, Zahriah
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Agriculture, Biological Sciences & Forestry Arts Civil Engineering, Building, Construction & Architecture Earth & Planetary Sciences Education Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Nursing Physics Public Health Other

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Environmental and Economic Clustering of Indonesian Provinces: Insights from K-Means Analysis Noviandy, Teuku Rizky; Hardi, Irsan; Zahriah, Zahriah; Sofyan, Rahmi; Sasmita, Novi Reandy; Hilal, Iin Shabrina; Idroes, Ghalieb Mutig
Leuser Journal of Environmental Studies Vol. 2 No. 1 (2024): April 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v2i1.181

Abstract

Indonesia's archipelago presents a distinctive opportunity for targeted sustainable development due to its complex interplay of economic advancement and environmental challenges. To better understand this dynamic and identify potential areas for focused intervention, this study applied K-means clustering to 2022 data on the Air Quality Index (AQI), electricity consumption, and Gross Regional Domestic Product (GRDP). The analysis aimed to delineate the provinces into three distinct clusters, providing a clearer picture of the varying levels of economic development and environmental impact across the nation's diverse islands. Each cluster reflects specific environmental and economic dynamics, suggesting tailored policy interventions. The results show that for provinces in Cluster 1, which exhibit moderate environmental quality and lower economic activity, the introduction of sustainable agricultural enhancements, eco-tourism, and renewable energy initiatives is recommended. Cluster 2, marked by higher economic outputs and moderate environmental conditions, would benefit from the implementation of smart urban planning, stricter environmental controls, and the adoption of clean technologies. Finally, Cluster 3, which includes highly urbanized areas with robust economic growth, requires expanded green infrastructure, improved sustainable urban practices, and enhanced public transportation systems. These recommendations aim to foster balanced economic growth while preserving environmental integrity across Indonesia’s diverse landscapes.
Does Online Education Make Students Happy? Insights from Exploratory Data Analysis Noviandy, Teuku Rizky; Idroes, Ghalieb Mutig; Hardi, Irsan; Emran, Talha Bin; Zahriah, Zahriah; Rahimah, Souvia; Lala, Andi; Idroes, Rinaldi
Journal of Educational Management and Learning Vol. 1 No. 2 (2023): December 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v1i2.124

Abstract

This study investigates the impact of online education on student happiness. Utilizing a dataset of 5715 students sourced from Bangladesh, we employed an exploratory data analysis to analyze the quantitative data. The key finding is that there is a prevalent trend of dissatisfaction with online education among Bangladeshi students, regardless of demographic factors like age, gender, education level, preferred device for access, or type of academic institution. The dissatisfaction trend highlights the need of continuous improvements and targeted interventions are essential to ensure online education not only enables academic success, but also supports the overall wellbeing and happiness of students in the context of a developing country.
Digital Transformations in Vocational High School: A Case Study of Management Information System Implementation in Banda Aceh, Indonesia Idroes, Rinaldi; Subianto, Muhammad; Zahriah, Zahriah; Afidh, Razief Perucha Fauzie; Irvanizam, Irvanizam; Noviandy, Teuku Rizky; Sugara, Dimas Rendy; Mursyida, Waliam; Zhilalmuhana, Teuku; Idroes, Ghalieb Mutig; Maulana, Aga; Nurleila, Nurleila; Sufriani, Sufriani
Journal of Educational Management and Learning Vol. 1 No. 2 (2023): December 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v1i2.128

Abstract

This study examines the digital transformation in vocational education through the implementation of a Management Information System (MIS) in Banda Aceh, Indonesia. Focused on enhancing educational administration and decision-making, the study provides insightful analysis on the integration of MIS in State Vocational High School (SMK), specifically SMKN 1 and SMKN 3 in Banda Aceh. A purposive sampling method was employed for usability testing. The questionnaire-based usability test revealed high reliability and positive user responses across multiple indicators. Data analysis affirmed the system's high user satisfaction, effectiveness, and ease of use. Despite limitations, the study highlights the significant potential of well-designed MIS in improving operational efficiency and user satisfaction in educational settings. Future research directions include expanding the sample size, conducting longitudinal studies, incorporating qualitative methods, and exploring the impact on educational outcomes, to enhance the generalizability and depth of understanding regarding the role of MIS in education.
Machine Learning for Early Detection of Dropout Risks and Academic Excellence: A Stacked Classifier Approach Noviandy, Teuku Rizky; Zahriah, Zahriah; Yandri, Erkata; Jalil, Zulkarnain; Yusuf, Muhammad; Mohamed Yusof, Nur Intan Saidaah; Lala, Andi; Idroes, Rinaldi
Journal of Educational Management and Learning Vol. 2 No. 1 (2024): May 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v2i1.191

Abstract

Education is important for societal advancement and individual empowerment, providing opportunities, developing essential skills, and breaking cycles of poverty. Nonetheless, the path to educational success is marred by challenges such as achieving academic excellence and preventing student dropouts. Early identification of students at risk of dropping out or those likely to excel academically can significantly enhance educational outcomes through tailored interventions. Traditional methods often fall short in precision and foresight for effective early detection. While previous studies have utilized machine learning to predict student performance, the potential for more sophisticated ensemble methods, such as stacked classifiers, remains largely untapped in educational contexts. This study develops a stacked classifier integrating the predictive strengths of LightGBM, Random Forest, and logistic regression. The model achieved an accuracy of 80.23%, with precision, recall, and F1-score of 79.09%, 80.23%, and 79.20%, respectively, surpassing the performance of the individual models tested. These results underscore the stacked classifier's enhanced predictive capability and transformative potential in educational settings. By accurately identifying students at risk and those likely to achieve academic excellence early, educational institutions can better allocate resources and design targeted interventions. This approach optimizes educational outcomes and supports informed policymaking, fostering environments conducive to student success.
Faktor-Faktor Terkait Kepatuhan dalam Menjalani Pengobatan pada Penderita Hipertensi di Puskesmas Gerunggang Kota Pangkalpinang : Factors associated treatment adherence among hypertension patients at Gerunggang Health Centre in Pangkalpinang City Hermaniati, Dwiana; Lana Sari; Zahriah, Zahriah
JURNAL ILMU DAN TEKNOLOGI KESEHATAN TERPADU Vol. 4 No. 1 (2024): Jurnal Ilmu dan Teknologi Kesehatan Terpadu
Publisher : Poltekes Kemenkes Tanjungpinang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53579/jitkt.v4i1.120

Abstract

Hypertension is a condition where systolic blood pressure ≥140 mmHg and diastolic blood pressure ≥90 mmHg. Hypertension had the highest patient visits in Pangkalpinang City in 2021. The Health Center in Pangkalpinang City had the highest number of hypertension visits in 2021, which is Gerunggang Health Center with 7,746 visits. The research objective was to know the factors related to medication adherence in patients with hypertension at the Gerunggang Public Health Center in Pangkalpinang City. The method used was analytic observational with a cross-sectional approach. Sampling used an accidental sampling technique. The research sample consisted of 96 respondents. The measuring instrument used is a questionnaire analyzed by univariate and bivariate using the chi-square test. The results showed that the factors of long-suffering from hypertension (p= 0.000), level of knowledge (p= 0.000), affordability of access to health services (p= 0.001), family support (p= 0.001), the role of health workers (p= 0.013), and motivation for treatment (p=0.000) was related to medication adherence in patients with hypertension. Factors of gender (p=0.540), education level (p=0.650), employment status (p=0.966), and health insurance participation (p=0.295) were not related to medication adherence in patients with hypertension. The findings of this study can offer valuable insights for Community Health Centers to mobilize PTM cadres and deliver education on the significance of adherence to medication for individuals with hypertension.
Co-Authors Abd Rahman, Sunarti Afidh, Razief Perucha Fauzie Akbar, Zulhiddin Amir, Diva Kanasya Ammalia, Nur Rizka Eko Suhartono Emran, Talha Bin Farisa Sabila Hadi Kurniawan, Hadi Hanan, Dafif Hardi, Irsan Hermaniati, Dwiana Hilal, Iin Shabrina Husnul Khatimah Idroes, Ghalieb Mutig Idroes, Ghazi Mauer Irfandi Irfandi, Irfandi Irvanizam, Irvanizam Irzaidi, Irzaidi Khairan Khairan Kusumo, Fitranto Lala, Andi Lana Sari Mahmud, Mirza Maulana, Aga Meutiawati, Ida Mohamed Yusof, Nur Intan Saidaah Muhammad Subianto Muhammad Yusuf Mursyida, Waliam Muslem Muslem, Muslem Noviandy, Teuku Rizky Nurleila, Nurleila Rinaldi Idroes Salsabila, Athaya Sasmita, Novi Reandy Shalehah, Shalehah siti hanisah Sofyan, Rahmi Souvia Rahimah sufriani, sufriani Sugara, Dimas Rendy Suhendrayatna Suhendrayatna Ulhaq, Muhammad Zia Wulandari, elysa Yandri, Erkata Zahrul Fuadi Zhilalmuhana, Teuku Zuchra Helwani, Zuchra Zulkarnain Jalil