Dinatha, Vienchenzia Oeyta Dwitama
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STRATEGI PENGELOLAAN BEBAN KOGNITIF DALAM PEMBELAJARAN SISWA DISLEKSIA SEKOLAH DASAR DI ABAD KE-21: SCOPING REVIEW Sania Alikha Rahmadira Latupono; Jap Tji Beng; Tiatri, Sri; Dinatha, Vienchenzia Oeyta Dwitama; Zheng, Margareta; Zahro, Tiara; Sefira, Fasia Meta
Pendas : Jurnal Ilmiah Pendidikan Dasar Vol. 10 No. 02 (2025): Volume 10, Nomor 02 Juni 2025 publish
Publisher : Program Studi Pendidikan Guru Sekolah Dasar FKIP Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/jp.v10i02.27425

Abstract

Scoping review ini bertujuan untuk mengeksplorasi strategi pembelajaran yang dapat membantu mengurangi beban kognitif pada siswa sekolah dasar dengan disleksia. Kesulitan dalam membaca dan menulis yang dialami siswa disleksia seringkali dipicu oleh tekanan kognitif yang tinggi, baik dari kompleksitas materi maupun dari cara penyajian informasi yang tidak sesuai dengan kapasitas pemrosesan mereka. Beban kognitif yang berlebihan tidak hanya membuat proses belajar terasa berat, tetapi juga dapat menurunkan motivasi dan kepercayaan diri siswa. Scoping review ini menelusuri artikel dari jurnal akses terbuka melalui Google Scholar sejak tahun 2000, dengan fokus pada studi yang menyebutkan secara eksplisit populasi anak usia sekolah dasar dan pendekatan pengurangan beban belajar. Enam studi yang memenuhi kriteria dianalisis secara tematik. Hasil scoping review menunjukkan bahwa penggunaan media audio dan pendekatan multimodal seperti narasi atau kombinasi teks dengan suara dapat meningkatkan efisiensi belajar dan meringankan beban visual. Font EasyReading™ juga terbukti membantu meningkatkan akurasi dan kecepatan membaca, bahkan, sebagian besar anak dengan disleksia menunjukkan performa membaca yang tidak lagi memenuhi kriteria diagnostik saat menggunakan font tersebut, meskipun tidak semua jenis font menunjukkan hasil serupa. Pelatihan memori kerja, baik fonologis maupun visuo-spasial, memiliki dampak positif terhadap kesadaran fonologis, ortografis, serta kelancaran membaca siswa. Selain itu, pendekatan kreatif seperti digital storytelling terbukti efektif dalam meningkatkan keterlibatan, partisipasi aktif, dan rasa percaya diri siswa. Secara keseluruhan, strategi-strategi ini menegaskan pentingnya menggabungkan pendekatan multimodal, teknologi digital, serta latihan kognitif berbasis kekuatan siswa untuk menciptakan pembelajaran yang lebih inklusif dan tidak membebani, khususnya dalam pendidikan abad ke-21.
DESIGNING A DATA MART FOR OPTIMIZING CLOTHING SALES AT C STORE Limbor, Ellen Gabriel; Beng, Jap Tji; Arisandi, Desi; Tiatri, Sri; Nurkholiza, Rahmiyana; Salsabila, Tasya Mulia; Dinatha, Vienchenzia Oeyta Dwitama
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 5 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/7k3f3443

Abstract

Data plays a crucial role in supporting strategic decision-making, particularly in the retail sector like C Store. To enhance sales performance and understand purchasing trends, an effective system such as a data mart is needed. This study aims to design a data mart that can be used to analyze sales data at C Store to support data-driven decision-making. The methodology used is the nine-step Kimball approach in data mart design. The ETL (Extract, Transform, Load) process is used to manage sales transaction data collected from the period of 2021 to 2024. The result of this study is a data mart with a star schema, consisting of fact and dimension tables, enabling the analysis of sales performance based on product categories and time. The implementation of this data mart is expected to assist C Store in managing data efficiently, supporting strategic decision-making, and improving business operational effectiveness. Keywords: Data Mart, Kimball's Nine-Step Process, Clothing Sales.
DATA MART DESIGN FOR Y CLOTHING STORE SALES Wijaya, Angeline Carolina; Beng, Jap Tji; Arisandi, Desi; Tiatri, Sri; Dinatha, Vienchenzia Oeyta Dwitama; Nurkholiza, Rahmiyana; Sefira, Fasia Meta
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 5 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/qr7rg481

Abstract

The data mart design for Y Clothing store aims to integrate scattered sales data to simplify analysis and speed up business decision making. Using the Kimball Nine-Step method and ETL process, sales transaction data from 2019 to 2023 is managed in a star schema. As a result, these data marts enable faster and more accurate analysis, identifying customer purchasing patterns, sales trends and promotional effectiveness. Implementation of this data mart increased inventory management efficiency by 15% and reduced sales report generation time from hours to minutes. However, challenges such as significant resource allocation for initial implementation and a learning curve for employees slowed down the maximum benefit gain somewhat. However, overall, these data marts contribute greatly to improved business decisions and more effective sales strategies. Keywords: Data Mart, Y Clothing Store, Kimball Nine-Step Method, ETL Process, Star Schema.
DESIGNING A DATA WAREHOUSE FOR AIRLINE TICKET SALES AT PT ABC Qadriah, Sekar Aurannisa Ramdhani; Beng, Jap Tji; Arisandi, Desi; Nagm, Fouad; Salsabila, Tasya Mulia; Zahro, Tiara; Dinatha, Vienchenzia Oeyta Dwitama
INTECOMS: Journal of Information Technology and Computer Science Vol. 8 No. 5 (2025): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/hfhqv835

Abstract

The high demand for airline ticket purchases in Indonesia and ticket sales being one of the important assets for companies in the aviation industry. PT ABC requires a system that can effectively manage this data to support business analysis and strategic decision-making. This research aims to design a data warehouse that can integrate airline ticket sales data, enabling more efficient data storage, processing, and analysis. The approach used in the design of this data warehouse is the star schema, which consists of one main fact table and several dimension tables. The fact table contains ticket sales transaction data, while the dimension tables include information about time, flight routes, airlines, and customers. This research provides a primary contribution in the form of a data warehouse design that integrates airline ticket sales data, enabling faster and more accurate analysis. The resulting business impact includes increased operational efficiency, more accurate data-driven decision-making, and the ability to monitor sales trends in real-time through interactive dashboards. With this data warehouse, PT ABC can reduce data analysis time and improve the accuracy of sales trend predictions. Keywords: Data warehouse, Star Schema, PT ABC plane ticket sales, Business Intelligence.