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All Journal Pendas : Jurnah Ilmiah Pendidikan Dasar INTECOMS: Journal of Information Technology and Computer Science
Sefira, Fasia Meta
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Computer Science & IT Other

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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.
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.
DESIGN OF A DATA WAREHOUSE FOR CUSTOMER SEGMENTATION PREDICTION AT PT X Lawrence, Valerie; Beng, Jap Tji; Wasino, Wasino; Tiatri, Sri; Nurkholiza, Rahmiyana; Salsabila, Tasya Mulia; 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/he6dx426

Abstract

With the rapid growth of the tourism industry, particularly within the hotel and airline sectors, understanding customer behavior and segmentation has become crucial for driving strategic decisions. However, customer segmentation in these sectors often faces challenges due to the complexity of transactional data and varying service demands. This study addresses these challenges by designing a data warehouse using a Star Schema architecture, aimed at integrating hotel and airline booking data from 2023 to 2024. The methodology follows the Nine-Step Kimball approach, coupled with the Extract, Transform, Load (ETL) process, to transform transactional data from OLTP systems into a format suitable for Online Analytical Processing (OLAP). The data warehouse features fact and dimension tables that support in-depth analysis of customer segments, booking trends, and performance across service categories and time periods. Key findings show that the data warehouse significantly improves the ability to segment customers based on booking behavior, seasonality, and service preferences, leading to more effective decision-making. This integrated system provides a robust foundation for data-driven strategies, allowing businesses in the tourism industry to optimize customer targeting, improve service offerings, and enhance operational efficiency. Keywords: Data Warehouse, Star Schema, ETL, Hotel Booking, Flight
Co-Authors Desi Arisandi Dinatha, Vienchenzia Oeyta Dwitama Jap Tji Beng Lawrence, Valerie Nurkholiza, Rahmiyana Salsabila, Tasya Mulia Sania Alikha Rahmadira Latupono Sri Tiatri Wasino Wasino Wijaya, Angeline Carolina ZAHRO, TIARA Zheng, Margareta