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All Journal Jurnal SOLMA Jurnal Riset Akuntansi
Arwansyah Arwansyah
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Economics, Econometrics & Finance Other

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Pengembangan Soft Skill Guru SD melalui Pelatihan Aplikasi Perkantoran dan Desain Grafis di Polewali Mandar Suryani Suryani; Arwansyah Arwansyah; Hasyrif Hasyrif
Jurnal SOLMA Vol. 10 No. 1 (2021)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v10i1.5272

Abstract

Background: SDN 15 Tonyaman Polewali Mandar merupakan salah satu Sekolah Dasar Negeri yang memiliki permasalahan antara lain rendahnya mutu dari SDM pengelola pendidikan yang bisa menghambat keberlangsungan proses pendidikan yang berkualitas. Hampir semua guru di SDN 15 Tonyaman memiliki komputer/laptop, namum pemahaman terkait Ilmu komputer khususnya dalam penggunaan aplikasi perkantoran yang digunakan sebagai tools untuk mebuat bahan ajar dan juga memberikan materi ajar kepada siswa sangatlah minim. Guru-guru di sekolah tersebut masih menggunakan cara manual dalam menyajikan materi pembelajaran, menginput data siswa, nilai siswa, dan data adminstratif lainnya. Metode: Metode yang digunakan adalah dengan pelatihan aplikasi perkantoran dengan memanfaatkan Ms. Office Word, Excel dan Power Point. Hasil: Dengan pelatihan aplikasi perkantoran dan desain grafis, dapat melakukan sinkronisasi terhadap berbagai program peningkatan kualitas pendidikan. Kesimpulan: memberi kemudahan dalam menyelesaikan pekerjaan administratif, meningkatkan kreatifitas guru dalam menciptakan bahan ajar yang lebih kreatif dan inovatif.
Dinamika Pengaruh Inflasi, Harga Minyak Dunia, dan Risiko Geopolitik terhadap Pertumbuhan Ekonomi Indonesia: Pendekatan Error Correction Model Isni Maulida; Fitrawaty Fitrawaty; Arwansyah Arwansyah
Jurnal Riset Akuntansi Vol. 4 No. 2 (2026): May: Jurnal Riset Akuntansi
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jura-itb.v4i2.3813

Abstract

This study aims to analyze the influence of domestic and global factors on Indonesia’s economic growth, with variables including inflation, world oil prices, and geopolitical risk. The research employs a quantitative approach using a regression model combined with the Engle–Granger Error Correction Model (ECM) to capture both short-run and long-run dynamics among variables. The data used are time series data from 1986 to 2024, sourced from the World Bank and the Geopolitical Risk Index. The results show that in the short run, inflation and world oil prices have a positive and significant effect on economic growth, while geopolitical risk has a negative and significant effect. In the long run, inflation remains positive and significant, whereas geopolitical risk continues to have a negative and significant impact on economic growth. The error correction term coefficient (ECT(-1)), which is negative and significant, indicates the presence of a relatively fast adjustment mechanism toward long-run equilibrium. These findings confirm that the ECM approach is effective in explaining the dynamic relationship between domestic and global factors and Indonesia’s economic growth.
Pengembangan E-Modul Berbasis Deep Learning Untuk Meningkatkan Keterampilan Berpikir Kritis Dan Hasil Belajar Siswa Pada Mata Pelajaran Ekonomi Sri Karina Br Sebayang; Arwansyah Arwansyah; Sri Mutmainnah
Jurnal Riset Akuntansi Vol. 4 No. 2 (2026): May: Jurnal Riset Akuntansi
Publisher : Institut Teknologi dan Bisnis (ITB) Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54066/jura-itb.v4i2.3922

Abstract

This research aims to develop a deep learning-based e-module and assess its feasibility as teaching material for Economics for Grade XI at MAN Karo. This research is motivated by students' low critical thinking skills and low learning outcomes, particularly in monetary and fiscal policy. This study uses the R&D method, assisted by the ADDIE model, which has the syntax of Analysis, Design, Development, Implementation, and Evaluation. The subjects were grades 11-4 and 11-5 students at MAN Karo in the 2025/2026 academic year. Data were collected through validation by material experts, media experts, and instructional design experts, as well as product trials through one-on-one trials, small group trials, and large group trials. The results of this study indicate that the Deep Learning-based e-module is highly feasible. Validation by material experts yielded a score of 81%, categorized as very feasible; validation by media experts yielded a score of 83%, categorized as very feasible; and validation by design experts yielded a score of 87%, categorized as very feasible. The product trial results for one-on-one testing showed a percentage of 83%, categorized as very feasible; small group testing showed a percentage of 80%, categorized as feasible; and large group testing yielded a percentage of 89.5%, categorized as very feasible. Overall, the average e-module feasibility percentage reached 83.9%, categorized as very feasible. These findings indicate that the developed e-module meets the feasibility criteria in terms of content, media, and design and supports interactive, student-centered learning in economics.
Co-Authors Fitrawaty Fitrawaty Hasyrif SY Isni Maulida Sri Karina Br Sebayang Sri Mutmainnah Suryani Suryani