Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan
Brahma, Anak Agung Gede Raka Wahyu
Unknown Affiliation
Computer Science & IT Education

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
PEMANFAATAN CARTOON STORY MAKER, SEBUAH TEKNOLOGI KOMIK DIGITAL SEBAGAI MEDIA PEMBELAJARAN MENULIS BAHASA INGGRIS Komang Trisnadewi; Anak Agung Gede Raka Wahyu Brahma; Maria Osmunda Eawea Monny
Paedagoria : Jurnal Kajian, Penelitian dan Pengembangan Kependidikan Vol 11, No 2 (2020): Juli
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/paedagoria.v11i2.2487

Abstract

Abstrak: Penelitian ini dilatar belakangi oleh kurangnya pemanfaatan teknologi dalam pembelajaran menulis Bahasa Inggris serta masih rendahnya kemampuan menulis mahasiswa. Tujuan dari penelitian ini adalah untuk mengetahui besarnya pengaruh penggunaan media Cartoon Story Maker terhadap tulisan mahasiswa. Metode yang digunakan meliputi observasi, perencanaan, pleaksanaan, analisis, dan penyajian data. Data diperoleh dari hasil tulisan mahasiswa dan juga kuesioner yang diisi mahasiswa. Tulisan mahasiswa dinilai dengan menggunakan Penilaian Acuan Patokan (PAP). Selanjutnya nilai tersebut dianalisis menggunakan SPS22 untuk mengetahui pengaruh penggunaan media tersebut. Hasilnya, seluruh komponen tulisan dipengaruhi oleh penggunaan media Cartoon Story maker dengan pengaruh yang paling besar terdapat pada komponen organisasi pada tulisan mahasiswa.Abstract:  The lack of using technology in teaching English and also the lack of students' writing skills become the background of this study. The purpose of this study was to determine the magnitude of the effect of the use of the media Cartoon Story Maker on student writing. The methods used include observation, planning, implementation, analysis, and data presentation. Data obtained from the results of student writing and questionnaires filled out by students. Student writing was assessed using the Benchmark Reference Assessment. Then the score was analysed using SPS22 to determine the effect of the use of the media. As a result, all writing components were influenced by the use of the Cartoon Story maker media with the greatest effect on the organizational component of student writing.
Enhanced Stacked GRU Model for Monthly Rice Production Forecasting in Bali Province Gotama, I Gusti Agung Raditiya; Sudipa, I Gede Iwan; Brahma, Anak Agung Gede Raka Wahyu; Ariantini, Made Suci; Wulandari, Dewa Ayu Putri
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15715

Abstract

Rice production has a seasonal pattern that depends on the planting cycle and environmental conditions, requiring forecasting methods that can accurately model temporal dynamics. This study aims to predict monthly rice production in Bali Province using the Stacked Gated Recurrent Unit (GRU) architecture. Monthly rice production data from 2018 to 2024 from the Central Statistics Agency (BPS) was used as the main source. The preprocessing stage includes data cleaning, Min-Max normalization, and feature engineering in the form of creating sin_month and cos_month features to capture seasonal patterns, as well as a 3-month rolling mean to extract short-term trends. The proposed stacked design with dual-layer GRU combined with seasonal features improves temporal pattern extraction compared to single-layer GRU baselines. The model was tested using three configurations, and Scheme 3 provided the best performance with an MAE value of 1610.21, an RMSE of 2055.90, and a MAPE of 14.29%, which is considered good accuracy. The model was able to follow seasonal production trends, including an increase at the beginning of the year and a decrease during the planting period. Long-term predictions for the next 12 months and quarterly forecasts per district/city also showed patterns consistent with historical data. The results of the study indicate that Stacked GRU is effective in forecasting seasonal rice production and can be used as a basis for decision support in food security planning in Bali.
Co-Authors Gotama, I Gusti Agung Raditiya I Gede Iwan Sudipa Komang Trisnadewi Made Suci Ariantini Maria Osmunda Eawea Monny Wulandari, Dewa Ayu Putri