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All Journal AlphaMath: Journal of Mathematics Education Aceh International Journal of Science and Technology Abdimas Mandalika Journal of Sharia Economy and Islamic Tourism
Aulia, Hartika
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Religion Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Environmental Science Mathematics

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Probabilistic Forecasting of Energy Consumption using Bayesian Dynamic Linear Models Aulia, Hartika; Syaharuddin, Syaharuddin; Mandailina, Vera; Gervas, Hamenyimana Emanuel; Ashraf, Hameed
Aceh International Journal of Science and Technology Vol 13, No 1 (2024): April 2024
Publisher : Graduate School of Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/aijst.13.1.38291

Abstract

This study aims to conduct a systematic literature review on the development of mathematical models for forecasting energy consumption using a probabilistic approach, particularly focusing on the Bayesian Dynamic Linear Model (BDLM). The research method employed is Systematic Literature Review (SLR), utilizing literature sources indexed in Scopus, DOAJ, and Google Scholar, with publication dates ranging from 2014 to 2024. The findings of the research indicate that the application of BDLM has made a significant contribution to the optimization of energy management, especially in sectors such as industry and commercial buildings. The study highlights the effectiveness of BDLM in accurately predicting energy consumption through a probabilistic approach that efficiently manages uncertainty. However, the research also emphasizes that BDLM presents limitations and challenges that warrant attention, including the complexity involved in parameter determination and model validation processes, as well as the importance of addressing potential biases and considering factors such as deployment impacts. This research provides deep insights into the potential and challenges in the development of mathematical models for forecasting energy consumption, while also offering directions for further research in this field.
Measurement of Mathematical Literacy in Everyday Life Context: A Case Study on High School Students Reviewed by Gender Aulia, Hartika; Mandailina, Vera; Mahsup, Mahsup; Syaharuddin, Syaharuddin; Rini, Widia; Sahraini, Alfiana
AlphaMath : Journal of Mathematics Education Alphamath: Vol. 10, No. 1, May 2024
Publisher : Department of Mathematics Education, Universitas Muhammadiyah Purwokerto, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/alphamath.v10i1.21083

Abstract

This research aims to measure the level of mathematical literacy in the context of daily life among high school students, with a focus on differences between male and female students. The research method employed is quantitative with a survey approach. A total of 13 male students and 24 female students from various high schools participated as subjects. The instrument used was a Likert scale questionnaire consisting of 15 statements designed to measure students' perceptions and understanding of mathematical literacy in everyday life. Data analysis was conducted using the paired sample t-test to compare differences in responses between male and female students. The analysis results showed a paired sample t-test value of -0.368, with a significance value (sig) of 0.719. These findings indicate that there is no significant difference between the responses of male and female students regarding mathematical literacy in the context of daily life. Nevertheless, this research provides an important contribution to understanding students' perceptions of mathematical literacy and its implications in the educational context. Further research can delve into the factors influencing students' perceptions of mathematical literacy and broaden the sample scope to obtain a more holistic understanding of the phenomena under investigation.
Artificial Intelligence for Economic Growth Prediction Aulia, Hartika; Syaharuddin, Syaharuddin
Journal of Sharia Economy and Islamic Tourism Vol 6, No 1 (2025): September
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jseit.v6i1.35542

Abstract

Abstract: This Systematic Literature Review explores the transformative potential of Artificial Intelligence (AI) in economic growth prediction. Drawing on research from Dimension and Scopus databases, published between 2014 and 2024, the review highlights AI's capacity to process complex datasets, uncover non-linear patterns, and provide dynamic responses to real-time economic changes. AI’s integration into economic forecasting and various industries is shown to enhance productivity, reduce costs, and foster inclusivity. However, the review identifies several challenges, including overfitting, data access, biases, and the need for ethical frameworks, which hinder its full potential. It suggests that AI should complement traditional economic forecasting methods, creating more robust and interpretable models. The review also emphasizes the necessity of a balanced approach that incorporates workforce adaptation, policy interventions, and ethical considerations to address risks such as job displacement and data misuse. This paper calls for further research on optimizing AI applications in economic forecasting while ensuring equitable and sustainable growth.Abstrak: Penelitian ini mengeksplorasi potensi transformatif Kecerdasan Buatan (AI) dalam prediksi pertumbuhan ekonomi. Dengan mengacu pada penelitian dari basis data Dimension dan Scopus yang diterbitkan antara tahun 2014 dan 2024, ulasan ini menyoroti kemampuan AI dalam memproses dataset kompleks, mengidentifikasi pola non-linear, dan memberikan respons dinamis terhadap perubahan ekonomi real-time. Integrasi AI ke dalam peramalan ekonomi dan berbagai industri terbukti dapat meningkatkan produktivitas, mengurangi biaya, dan mendorong inklusi. Namun, tinjauan ini mengidentifikasi beberapa tantangan, termasuk overfitting, akses data, bias, dan kebutuhan akan kerangka etika, yang menghambat potensi penuhnya. Disarankan agar AI melengkapi metode peramalan ekonomi tradisional, menciptakan model yang lebih tangguh dan dapat diinterpretasikan. Tinjauan ini juga menekankan pentingnya pendekatan yang seimbang yang menggabungkan adaptasi tenaga kerja, intervensi kebijakan, dan pertimbangan etika untuk mengatasi risiko seperti penggantian tenaga kerja dan penyalahgunaan data. Artikel ini menyerukan penelitian lebih lanjut tentang optimalisasi aplikasi AI dalam peramalan ekonomi sambil memastikan pertumbuhan yang adil dan berkelanjutan.
Peningkatan Hasil Belajar Matematika Siswa Melalui Kegiatan Ekstrakurikuler di Sekolah Abdillah, Abdillah; Mahsup, Mahsup; Aulia, Hartika; Agustina, Agustina; Supardi, Supardi
Abdimas Mandalika Vol 4, No 1 (2024): Agustus
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/am.v4i1.26286

Abstract

Abstract:  To improve students' learning outcomes, particularly in mathematics, it is necessary to implement learning activities not only through the regular curriculum but also through extracurricular activities by providing additional tutoring. The extracurricular learning focuses on training students to solve math problems that frequently appear in various exams. The goal of this community service program is to offer tutoring to students on how to solve math problems quickly and accurately. The method used involves direct teaching to students, divided into three stages: the initial stage, which is preparation; the implementation stage; and the final stage, which is the evaluation of the activities. Based on the evaluation results, data showed an average score increase of 9.63 points, and the overall class mastery also improved by 12.33%.Abstrak: Untuk meningkatkan hasil belajar siswa, khususnya dalam bidang matematika, perlu dilaksanakan kegiatan pembelajaran tidak hanya melalui kurikulum reguler tetapi juga melalui kegiatan ekstrakurikuler dengan memberikan bimbingan belajar tambahan. Pembelajaran ekstrakurikuler berfokus pada pelatihan siswa untuk memecahkan soal matematika yang sering muncul dalam berbagai ujian. Tujuan dari program pengabdian masyarakat ini adalah memberikan bimbingan belajar kepada siswa tentang cara memecahkan soal matematika dengan cepat dan akurat. Metode yang digunakan melibatkan pengajaran langsung kepada siswa, dibagi menjadi tiga tahap: tahap awal, yaitu persiapan; tahap implementasi; dan tahap akhir, yaitu evaluasi kegiatan. Berdasarkan hasil evaluasi, data menunjukkan peningkatan skor rata-rata sebesar 9,63 poin, dan penguasaan kelas secara keseluruhan juga meningkat sebesar 12,33%.
Co-Authors Abdillah Abdillah Agustina Ashraf, Hameed Gervas, Hamenyimana Emanuel Mahsup, Mahsup Rini, Widia Sahraini, Alfiana Supardi Supardi Syaharuddin Syaharuddin Syaharuddin Vera Mandailina, Vera