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All Journal Proceedings of KNASTIK AGRIEKONOMIKA Transformasi: Jurnal Pengabdian Masyarakat Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Teaching and Learning in Elementary Education Indonesian Journal of Primary Education QARDHUL HASAN: MEDIA PENGABDIAN KEPADA MASYARAKAT JIMFE (Jurnal Ilmiah Manajemen Fakultas Ekonomi) Multitek Indonesia : Jurnal Ilmiah Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Pedagonal : Jurnal Ilmiah Pendidikan EKOLOGIA : Jurnal Ilmiah Ilmu Dasar dan Lingkungan Hidup Operations Research: International Conference Series Jurnal PkM (Pengabdian kepada Masyarakat) Teknologika Jurnal Aplikasi Bisnis dan Komputer Indonesian Journal of Primary Education Komputasi : Jurnal Ilmiah Ilmu Komputer dan Matematika
Aries Maesya
Universitas Pakuan
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Public Health Social Sciences Other

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Management of Teaching Modules Based on Culturally Responsive Teaching Toward Education for Sustainable Development Awiria, Awiria; Sukmanasa, Elly; Novita, Lina; Faridatul’al, Faridatul’al; Suhardi, Eka; Prawira, Asrori Yudha; Maesya, Aries
JOURNAL OF TEACHING AND LEARNING IN ELEMENTARY EDUCATION (JTLEE) Vol. 8 No. 1 (2025): February 2025
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33578/

Abstract

The quality of learning materials that are not in accordance with the local culture affects the learning outcomes of students in elementary schools. This research aims to develop a responsive cultural teaching (CRT) learning module that is in accordance with the Independent Curriculum. The research method used is Research and Development (R&D) with the ADDIE model which includes analysis, design, development, implementation and evaluation. The subject of the study was a fourth-grade students of SD Negeri Julang Tanah Sareal. The results showed that CRT-based learning modules improved student learning outcomes with an average score of 4.1 in the indicators of knowledge and learning experience. In addition, the aspect of teacher support scored 4.04, and students' communication empathy skills scored 4.06, indicating that culture-based learning creates an inclusive and appropriate learning environment. This module also supports the formation of students' soft skills, such as collaboration and critical thinking, although the critical thinking aspect has not been improved. Finally, the development of CRT-based modules supports the implementation of Education for Sustainable Development (ESD) in primary schools, integrating local cultural values to create meaningful and sustainable learning experiences. This module is expected to be the basis for continuing education at the elementary level and can be replicated in a variety of other educational contexts
Prediction and Analysis of Factors Affecting Marketplace Sales Using a Bidirectional LSTM Model for Inventory Estimation Indah Cahyani; Tjut Awaliyah Zuraiyah; Aries Maesya; Fitri Mintarsih
Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Vol. 23 No. 2 (2026): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Program Studi Ilmu Komputer, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/komputasi.v23i2.96

Abstract

Forecasting weekly sales at the product level can help marketplace sellers avoid both excess inventory and stock shortages. The purpose of this study is to investigate the sales forecasting of the Shopee store antianshop by applying the Bidirectional Long Short-Term Memory (BiLSTM) method in conjunction with correlation-based feature selection to predict the inventory. The raw dataset contained 5,426 weekly product records from Shopee Seller Centre covering 22 May 2023 to 31 May 2025; 5,312 records remained after preprocessing. For each product, the data were ordered by week and converted into ten-week input sequences. Pearson correlation showed that Add to Cart (r = 0.5835$) and Enter Cart (r = 0.5579$) were the strongest retained predictors of weekly Units Sold. BiLSTM was then compared with a unidirectional LSTM under the same experimental settings for ten products. LSTM recorded slightly lower average errors, with MAE of 1.7462 units, RMSE of 2.3977 units, and non-zero MAPE of 69.57%, while BiLSTM produced 1.8505 units, 2.4611 units, and 71.18%, respectively. The results indicate that BiLSTM was competitive but did not outperform the simpler LSTM model consistently. We combined the two models in a Streamlit dashboard that shows product forecasts and weekly inventory guidance. Generalizability of the findings should be done cautiously since the analysis used one store, relatively short product histories, and no systematic hyperparameter search.
Co-Authors 'ala, Faridatul Ade Muchlis Maulana Anwar Agus Buono Ahmad Izzuddin Awiria, Awiria Cantika Zaddana E Mulyati Effendi, E Mulyati Eka Suhardi Elinda Puspita Elly Sukmanasa Eneng Tita Tosida Evi Sopiani Faridatul’al, Faridatul’al Fitri Mintarsih Fredi Andria Halimah Tus Sadiah Indah Cahyani Lina Novita Lina Novita Lina Novita, Lina Lita Karlitasari Luthfiyana Nur Alifa Muhamad Saad Nurul Ishlah Prawira, Asrori Yudha Prihastuti Harsani Ramdhani, Muhammad Imam RR. Ella Evrita Hestiandari S. Rusdiana Selo Aji Supardi Rusdiana Tjut Awaliyah Zuraiyah Tomi Herdiawan, Tomi Victor Ilyas Sugara Yuli Wahyuni