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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.
Development of a Web-Based Educational Management System for a Technology Vocational High School in Banda Aceh, Indonesia Idroes, Rinaldi; Afidh, Razief Perucha Fauzie; Zahriah, Zahriah; Noviandy, Teuku Rizky; Sugara, Dimas Rendy; Ahsya, Yahdina; Amirah, Kelsy; Baihaqi, Baihaqi; Dharma, Aditia
Journal of Educational Management and Learning Vol. 2 No. 2 (2024): November 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v2i2.230

Abstract

This study explores developing and implementing a web-based Management Information System (MIS) tailored for SMK Negeri 2 Banda Aceh, a vocational school in Indonesia. To enhance administrative efficiency and address unique challenges in vocational education, the system centralizes tasks such as attendance tracking, academic record management, and internship coordination. Employing the waterfall model, this project proceeded through structured phases, including requirements analysis, system design, development, and usability testing. A sample of 50 users, comprising students, teachers, and school operators, evaluated the system based on usability, interface design, and information clarity through a questionnaire, yielding high satisfaction scores. Reliability testing and correlation analysis revealed strong internal consistency across questionnaire items and identified critical factors influencing user satisfaction, such as interface appeal and effective error resolution. The results indicate that the system meets core user needs and contributes to a streamlined, user-friendly school management process. With implementation planning, user training, and ongoing maintenance, this MIS offers a sustainable solution that can serve as a model for vocational schools across Indonesia, showcasing the potential of digital solutions in advancing educational administration and supporting career readiness in vocational education.
Embrace, Don’t Avoid: Reimagining Higher Education with Generative Artificial Intelligence Noviandy, Teuku Rizky; Maulana, Aga; Idroes, Ghazi Mauer; Zahriah, Zahriah; Paristiowati, Maria; Emran, Talha Bin; Ilyas, Mukhlisuddin; Idroes, Rinaldi
Journal of Educational Management and Learning Vol. 2 No. 2 (2024): November 2024
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v2i2.233

Abstract

This paper explores the potential of generative artificial intelligence (AI) to transform higher education. Generative AI is a technology that can create new content, like text, images, and code, by learning patterns from existing data. As generative AI tools become more popular, there is growing interest in how AI can improve teaching, learning, and research. Higher education faces many challenges, such as meeting diverse learning needs and preparing students for fast-changing careers. Generative AI offers solutions by personalizing learning experiences, making education more engaging, and supporting skill development through adaptive content. It can also help researchers by automating tasks like data analysis and hypothesis generation, making research faster and more efficient. Moreover, generative AI can streamline administrative tasks, improving efficiency across institutions. However, using AI also raises concerns about privacy, bias, academic integrity, and equal access. To address these issues, institutions must establish clear ethical guidelines, ensure data security, and promote fairness in AI use. Training for faculty and AI literacy for students are essential to maximize benefits while minimizing risks. The paper suggests a strategic framework for integrating AI in higher education, focusing on infrastructure, ethical practices, and continuous learning. By adopting AI responsibly, higher education can become more inclusive, engaging, and practical, preparing students for the demands of a technology-driven world.
Penerapan Prinsip-Prinsip Healing Environment dalam Merancang Pusat Rehabilitasi Kesehatan Mental di Aceh Tarisza, Shubhan Zarkasya; Nursaniah, Cut; Zahriah, Zahriah
Jurnal Ilmiah Mahasiswa Arsitektur dan Perencanaan Vol 8, No 4 (2024): Volume 8, No.4, November 2024
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jimap.v8i4.32509

Abstract

Pada zaman ini, kesehatan mental merupakan salah satu permasalahan yang cukup signifikan di dunia, tak terkecuali di Aceh, Indonesia. Dalam 2 tahun terakhir (2021-2022), Dinas Kesehatan Aceh (2022) menyebutkan jika terjadinya peningkatan penderita gangguan jiwa dari 11.954 penderita (2021) menjadi 13.735 penderita (2022). Oleh karenanya, kesadaran serta pemahaman masyarakat tentang kesehatan mental penting untuk ditingkatkan agar dapat menghilangkan stigma negatif dan menciptakan akses layanan kesehatan mental yang baik. Perancangan Pusat Rehabilitasi Kesehatan Mental yang berlokasi di Jalan Sultan Malikul Saleh, Lhong Raya, Kec. Banda Raya, Banda Aceh, Aceh diharapkan dapat berfungsi sebagai pusat edukasi dan pemahaman untuk mengurangi stigma dan meningkatkan pengetahuan masyarakat akan kesehatan mental tersebut. Adapun metode yang dilakukan dalam perancangan ini adalah mengulas studi literatur terhadap objek sejenis dan tema sejenis. Dari ulasan yang didapat, maka munculah tema Healing Environment dengan mengusung 3 prinsip utama yaitu pendekatan alam, alat indera dan psikologis ini diharapkan dapat memastikan efektivitas serta keberlanjutan layanan dalam menyembuhkan penyakit mental melalui sesi terapi dan konseling rutin. Menghadirkan fasilitas penyembuhan secara lengkap baik melalui medis maupun non-medis adalah tujuan untuk memaksimalkan peran yang diharapkan dapat mendukung secara psikologis proses penyembuhan pasien dalam mengurangi stress dan trauma emosional yang dialami pasien baik sebelum dirawat, ketika sedang dirawat, dan sesudah dirawat.
Evaluasi Pengelolaan Sampah di Pasar Rukoh dengan Pendekatan Arsitektur Ekologis Zariyana, Zariyana; Zahriah, Zahriah; Editya, Muhammad Heru Arie
Jurnal Ilmiah Mahasiswa Arsitektur dan Perencanaan Vol 8, No 3 (2024): Volume 8, No. 3, Agustus 2024
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/jimap.v8i3.24660

Abstract

Saat ini, pengolahan sampah di Pasar Rukoh Banda Aceh masih belum optimal, tempat sampah yang kelebihan muatan, dan belum adanya pengelolaan sampah yang berkelanjutan. Diantaranya adalah pengelolaan sampah untuk mengurangi produksi sampah serta memberikan rekomendasi pada pengelolaan sampah dengan pendekatan arsitektur. Untuk mengetahui Bagaimana sistem pengelolaan sampah Pasar Rukoh saat ini perlu di observasi untuk mengevaluasinya. Tujuan dari penelitian ini adalah mengetahui sistem pengelolaan sampah Pasar Rukoh dan menevaluasi pengelolaan sampah Pasar Rukoh dengan pendekatan arsitektur ekologis. Metode pengambilan data lapangan menggunakan teknik observasi, studi literatur dan wawancara. Variabel dalam penelitian ini terdiri dari pengelolaan sampah dan konsep pasar, indikator pengelolaan sampah terdiri dari proses pewadahan limbah, pengumpulan, pengangkutan, penampungan. Pada indikator konsep Pasar terdiri dari zoning dan sirkulasi. Hasil dari penelitian di dapatkan bahwa pengelolaan sampah Pasar Rukoh belum berjalan dengan seharusnya dan belum ada strategis pengelolaan sampah, terlebih belum adanya pemilahan sampah, pada sampah organik dan anorganik. Zonasi yang masih bercampur antara area basah dan area kering membuat sampah yang di hasilkan setiap los masih bercampur. Sirkulasi yang belum memenui standar karena masih ada pedagang yang masih meletakkan barang dagangan pada ruang sirkulasi yang menjadi penghambat dan ruang sirkulasi menjadi sempit. Peningkatan yang berkelanjutan yang di lakukan yaitu penerapan strategis pengelolaan, pemisahan zonasi antara area basah dan kering, pelebaran sirkulasi yang di lakukan sesuai standar yang telah di tetapkan.
Penerapan Tema Arsitektur Perilaku pada Perancangan Perpustakaan Wilayah Provinsi Aceh Mawaddah, Siti Afifah; Zahriah, Zahriah; Muliadi, Muliadi
Jurnal RAUT VOLUME13, No 1(2024): EDISI JANUARI-JUNI 2024
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/raut.v13i1.40466

Abstract

The Covid-19 pandemic that occurred at the end of 2019 had a significant impact on the order of people's lives. In the current post-pandemic period, activity habits and behavior cannot be separated from health protocol rules to prevent the recurrence of cases due to the spread of the Covid-19 virus. The Regional Library of Aceh Province is one of the important facilities for the public which has also had an impact from the Covid-19 pandemic. During the Covid-19 Pandemic, the Aceh Regional Library did not serve users and used temporary buildings due to the process of building the Library building. Once finished and usable, there are various design issues that are no longer relevant to the current post-pandemic period. Like the placement of furniture that causes users to not pay attention to health protocols, the ventilation system is not free. The redesign of the Aceh Province Regional Library applies the theme of Behavioral Architecture with the study concepts of Behavior Setting and Personal Space Crowding. This library redesign aims to. Designing the Aceh Province Regional Library which can accommodate activities to access information, learning, research and recreation by following the needs of users whose behavior is in accordance with the Health Protocol rules.