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All Journal Journal of Architecture & Environment Jurnal Ruas (Review of Urbanism and Architectural Studies) Intelektualita Phi : Jurnal Pendidikan Fisika dan Terapan Edufisika: Jurnal Pendidikan Fisika Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini ORBITA: Jurnal Pendidikan dan Ilmu Fisika Journal of Architectural Research and Education INDRA: Jurnal Pengabdian kepada Masyarakat JURNAL ILMU DAN TEKNOLOGI KESEHATAN TERPADU International Journal of Architecture and Urbanism AL-KHAZINI: JURNAL PENDIDIKAN FISIKA Jurnal Ilmiah Mahasiswa Arsitektur dan Perencanaan Journal of Health Sciences and Epidemiology Leuser Journal of Environmental Studies Journal of Educational Management and Learning Grimsa Journal of Science Engineering and Technology Jurnal RAUT Jurnal Pengabdian Rekayasa dan Wirausaha PESARE: Jurnal Pengabdian dan Rekayasa
Zahriah, Zahriah
Department Of Architecture And Urban Planning, Faculty Of Engineering, Universitas Syiah Kuala, Banda Aceh 23111, Indonesia
Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Analisis Kesulitan Belajar Fisika Peserta Didik dalam Pembelajaran Daring di SMAN 4 Wira Bangsa Meulaboh ZAHRIAH, ZAHRIAH
Phi: Jurnal Pendidikan Fisika dan Terapan Vol 7, No 1 (2021)
Publisher : Universitas Islam Negeri Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/p-jpft.v7i1.11944

Abstract

Pandemi Covid-19 memberikan dampak yang cukup besar terutama dalam aspek pendidikan di Indonesia. Sistem pembelajaran harus dialihkan sementara menjadi pembelajaran daring. Oleh sebab itu, tidak menutup kemungkinan menimbulkan berbagai permasalahan seperti kesulitan dalam belajar. Penelitian ini dilakukan guna mengetahui kesulitan belajar yang dialami peserta didik serta faktor-faktor yang mempengaruhinya, Jenis penelitian yang digunakan adalah jenis penelitian kualitatif.  Hasil penelitian diperoleh bahwa kesulitan belajar peserta didik didominasi pada kurangnya kemampuan dalam perhitungan matematis ketika melakukan pemecahan masalah, kurang bisa mengkonversikan satuan serta kurang mampu menggunakan rumus dalam pemecahan soal fisika. Hal ini disebabkan oleh faktor internal yaitu dipengaruhi aspek intelegensi dan  faktor eksternal yaitu dalam aspek alat pelajaran dan fasilitas.
Design Concept of Information Control Systems for Green Manufacturing Industries with IoT-Based Energy Efficiency and Productivity Yandri, Erkata; Idroes, Rinaldi; Maulana, Aga; Zahriah, Zahriah
Leuser Journal of Environmental Studies Vol. 1 No. 1 (2023): July 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v1i1.36

Abstract

In today's and future industrial competition, IoT and the Fourth Industrial Revolution are unavoidable. Indonesia must be prepared to compete globally in an increasingly efficient and integrated industry, including efficient energy use and renewable energy. This issue has received little strategic and scientific thought, particularly in Indonesia. This study purposes to create a conceptual model of an information control system in the industry, which will include operational performance. The method involves four steps. Firstly, the process flow within the industry is comprehensively analyzed, including the input, process, and output (IPO) aspects. Secondly, all information pertaining to each production process is integrated into the information system. Thirdly, a management control system (MCS) is proposed, incorporating key performance indicators (KPIs), allowing real-time monitoring by management. Lastly, real-time information data on resource sharing is submitted to the information sharing control system within similar industrial clusters. This enables related business parties to optimize their resource utilization based on the provided information. The results show that green manufacturing can be initiated by controlling energy-saving and productivity-related KPIs. The concept of IoT green manufacturing depends on active involvement from the government, industry and the public. A crucial aspect of this system is how the industry effectively manages production performance through shop floor control (SFC).
Utilizing Bentonite as a Natural Material to Enhance the Quality of Community Water Resources in the Urban Area Ulhaq, Muhammad Zia; Hanan, Dafif; Salsabila, Athaya; Lala, Andi; Muslem, Muslem; Akbar, Zulhiddin; Zahriah, Zahriah
Leuser Journal of Environmental Studies Vol. 1 No. 2 (2023): November 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v1i2.94

Abstract

In this study, the researchers investigated the state of water sources and the potential of bentonite as a water treatment agent. The study encompassed measurements of key water quality parameters for river and well water sources, including pH, TDS, conductivity, and salinity. The findings revealed that while pH levels were generally within the clean water standards, TDS values exceeded the threshold, particularly in river water samples. This suggests contamination due to urban activities and rising sea levels. Furthermore, the study explored using both activated and non-activated bentonite as an adsorption agent to remove contaminants from water sources. The results indicated that bentonite effectively increased pH levels, especially in well water samples, and significantly reduced TDS, conductivity, and salinity values, with non-activated bentonite being a preferred option for river water treatment and activated bentonite for well water treatment. These findings emphasize the potential of bentonite as a valuable water treatment solution. The specific characteristics of the water source should guide the choice between activated and non-activated bentonite. This tailored approach can lead to more effective and sustainable water treatment, contributing to improved water quality and availability for the community in the coastal region.
Urban Air Quality Classification Using Machine Learning Approach to Enhance Environmental Monitoring Idroes, Ghazi Mauer; Noviandy, Teuku Rizky; Maulana, Aga; Zahriah, Zahriah; Suhendrayatna, Suhendrayatna; Suhartono, Eko; Khairan, Khairan; Kusumo, Fitranto; Helwani, Zuchra; Abd Rahman, Sunarti
Leuser Journal of Environmental Studies Vol. 1 No. 2 (2023): November 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v1i2.99

Abstract

Urban areas worldwide grapple with environmental challenges, notably air pollution. DKI Jakarta, Indonesia's capital city, is emblematic of this struggle, where rapid urbanization contributes to increased pollutants. This study employed the CatBoost machine learning algorithm, known for its resistance to overfitting and capability to handle missing data, to predict urban air quality based on pollutant levels from 2010 to 2021. The dataset, sourced from Jakarta's air quality monitoring stations, includes pollutants such as PM10, SO2, CO, O3, and NO2. After preprocessing, we used 80% of the data for training and 20% for testing. The model displayed high accuracy (0.9781), precision (0.9722), and recall (0.9728). The feature importance chart revealed O3 (Ozone) as the top influencer of air quality predictions, followed by PM10. Our findings highlight the dominant pollutants affecting urban air quality in Jakarta, Indonesia and emphasizing the need for targeted strategies to reduce their concentrations and ensure a cleaner and healthier urban environment.
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.
Kenyamanan Spasial Ditinjau dari Pendekatan Antropometri pada Ruang Baca Umum Perpustakaan Aceh di Kota Banda Aceh Nurul Sakinah Ridwan; Izziah Izziah; Zahriah Zahriah
Jurnal RAUT VOLUME12, No 2 (2023): EDISI JULI-DESEMBER 2023
Publisher : Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24815/raut.v12i2.34574

Abstract

Perpustakaan Aceh merupakan perpustakaan daerah yang dapat diakses oleh seluruh masyarakat dan berlokasi di Kota Banda Aceh. Di perpustakaan ini terdapat beberapa jenis ruang baca, yaitu ruang baca umum, ruang baca anak, ruang baca remaja, dan ruang baca agama. Berdasarkan observasi awal, terdapat permasalahan di ruang baca umum; terdapat area yang dirasa tidak nyaman oleh pengunjung dalam beraktivitas (berhubungan dengan perabotan). Sehingga perlu dilakukan penelitian lebih lanjut. Tujuan penelitian ini untuk mengevaluasi kenyamanan spasial pengunjung. Hasil penelitian berupa usulan terhadap dimensi dan sirkulasi antar perabot yang sesuai dengan tubuh pengunjung mengacu pada standar antropometri. Metode yang digunakan adalah deskriptif kualitatif dengan teknik pengumpulan data primer berupa observasi, pengukuran, dokumentasi, dan wawancara. Sampel yang dipilih adalah pengunjung ruang baca umum yang memiliki tinggi rata-rata masyarakat Indonesia dan indeks massa tubuh (IMT) dalam rentang sedang. Hasil penelitian ini adalah tinjauan dimensi dan sirkulasi penataan perabot yang ada di ruang baca umum dan dapat mengetahui kenyamanan spasial pengunjung dalam beraktivitas berdasarkan aspek antropometri sehingga perpustakaan dapat memenuhi kebutuhan literasi dan pengetahuan masyarakat di Aceh dan dapat mempertimbangkan evaluasi terhadap penataan perabot di ruang baca tersebut.Kata kunci: antropometri, kenyamanan spasial, pengunjung, perabotan, ruang baca umum.
Co-Authors Abd Rahman, Sunarti Abrar M Yussya Afidh, Razief Perucha Fauzie Ahmad, Nur Hidayah Binti Ahsya, Yahdina Akbar, Zulhiddin Alaidin, Samsul Fala Amir, Diva Kanasya Amirah, Kelsy Ammalia, Nur Rizka Angga Junialdo Maliki Arani, Lidia Sartika Burhan Nasution Dharma, Aditia Dyah Erti Idawati Dyah Erti Idawati, Dyah Erti Editya, Muhammad Heru Arie Eko Suhartono Emran, Talha Bin Erkata Yandri Fahira, Adinda Farisa Sabila Fera, Annisa Ghazi Mauer Idroes Gina Adlinisa Hadi Kurniawan, Hadi Hanan, Dafif Hermaniati, Dwiana Husnul Khatimah Ida Meutiawati Idroes, Ghalieb Mutig Iin Sabrina Hilal Iin Shabrina Hilal Irfandi Irfandi Irfandi Irfandi, Irfandi Irsan Hardi Irvanizam, Irvanizam Irzaidi Irzaidi Irzaidi, Irzaidi Izziah Izziah Juniar Afrida Khairan Khairan Kusumo, Fitranto Laina Hilma Sari Lala, Andi Lana Sari Lanaya, Dela Lisa Maharani Mahmud, Mirza Mai Sarah Mardhiah Hayati Maria Paristiowati Masdar Djamaluddin Maulana, Aga Mauzatun Oesan Mawaddah, Siti Afifah Mohamed Yusof, Nur Intan Saidaah Muhammad Luthfi Muhammad Subianto Muhammad Yusuf Mukhlisuddin Ilyas Muliadi Mursyida, Waliam Nasrullah Ridwan Nurleila, Nurleila Nursaniah, Cut Nurul Sakinah Ridwan Purba, Ratih Puspita Kusumadewi Qadri, Laila Qalbi, Zahwatun Haninul Rahmi Sofyan Rahmi Sofyan Raihan C Havilia Ramadani, Dinda Ramadhini, Dhita Razief Perucha Fauzie Afidh Rinaldi Idroes Riza Aulia Putra Riza Priandi Salsabila, Athaya Salsabilla Sari, Lana Sasmita, Novi Reandy Shalehah, Shalehah Shara, Siti siti hanisah Sofyan, Rahmi Souvia Rahimah Sri Wahyuni sufriani, sufriani Sugara, Dimas Rendy Suhendrayatna Suhendrayatna Susi Ardila Tarisza, Shubhan Zarkasya Teuku Rizky Noviandy Uky Utami Ulhaq, Muhammad Zia Wulandari, elysa Zahrul Fuadi Zahrul Fuady Zariyana, Zariyana Zhilalmuhana, Teuku Zuchra Helwani Zulfikar Taqiuddin Zulkarnain Jalil