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Sri Tiatri
FTI Tarumanagara
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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.
PENGUATAN REGULASI DIRI BAGI SISWA UNTUK MENGHADAPI TANTANGAN AKADEMIK Handayani, Ani; Tiatri, Sri; Tji Beng, Jap
Jurnal Bakti Masyarakat Indonesia Vol. 8 No. 1 (2025): Jurnal Bakti Masyarakat Indonesia
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24912/jbmi.v8i1.34466

Abstract

Siswa remaja kerap mengalami tantangan akademik seperti stress akademik yang dapat berdampak pada fokus belajar, motivasi, serta pencapaian akademik mereka. Selain itu, mereka juga kerap menghadapi tekanan dari orang tua, persaingan dari teman sebaya serta ketidakmampuan mengelola waktu secara efektif. Salah satu strategi yang dapat digunakan untuk mengurangi tantangan akademik adalah dengan mengembangkan kemampuan regulasi diri. Regulasi diri menjadi pondasi yang penting dalam membantu siswa dalam mengelola tekanan akademik. Berdasarkan hasil penelitian yang dilakukan terhadap siswa SMP kelas 2 di salah satu sekolah swasta di Tangerang, ditemukan bahwa pemahaman siswa mengenai regulasi diri masih perlu ditingkatkan. Kurangnya pengetahuan regulasi diri menjadi tantangan yang perlu segera diberikan intervensi. Sebagai respons terhadap permasalahan tersebut, maka kegiatan Pengabdian Kepada Masyarakat (PKM) ini disusun. Program ini bertujuan untuk meningkatkan pemahaman siswa terhadap regulasi diri sekaligus membekali mereka dengan keterampilan praktis yang dapat diterapkan dalam konteks pembelajaran sehari-hari. Intervensi dirancang dalam bentuk kegiatan interaktif yang melibatkan diskusi, simulasi nyata, serta refleksi personal. Efektivitas kegiatan ini dievaluasi melalui pre- dan post-assessment untuk melihat peningkatan pemahaman siswa melalui media quizizz. Hasil perbandingan skor sebelum dan sesudah mengikuti pembekalan terdapat peningkatan skor total pada siswa. Hal ini menunjukkan bahwa pembekalan ini mampu meningkatkan pengetahuan siswa tentang regulasi diri. Kata kunci: regulasi diri, stress akademik, siswa
Academic Engagement and Academic Burnout among Medical Students: Role of Social Support, Academic Self-efficacy, and Self-Esteem: Keterlibatan Akademik dan Kelelahan Akademik pada Mahasiswa Kedokteran: Peran Dukungan Sosial, Efikasi Diri Akademik, dan Harga Diri Yudhistira, Santi; Tiatri, Sri; Mularsih, Heni
Psikologika: Jurnal Pemikiran dan Penelitian Psikologi Vol. 28 No. 2 (2023)
Publisher : Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/psikologika.vol28.iss2.art9

Abstract

Active academic engagement in the educational process is instrumental in fostering the potential and self-skills of students, as well as serving as a pathway to acquiring a quality education from academic institutions. Therefore, this study aims to examine role of factorsinfluencing academic engagement with mediators of academic burnout using path analysis through a quantitative design on 249 medical students. In this model test, academic burnout becomes a mediator variable for self-efficacy and social support, while self-esteem is tested directly on academic engagement. The measuring instruments used are UWES-SS, MSPSS, MSLQ, RSE, and MBI-SS which are tested for validity using CFA and Cronbach Alpha reliability. The results showed that academic self-efficacy and social support significantly influence engagement, mediated by burnout, while self-esteem has a direct effect on the variable. These provide further support for existing theories and prior studies, highlighting the significant impact of social support, academic self-efficacy, and self-esteem on academic engagement.
DESIGNING A DATA WAREHOUSE TO OPTIMIZE THE HOTEL BOOKING MONITORING DASHBOARD Hutagaol, Alice Shizuka; Beng, Jap Tji; Wasino, Wasino; Tiatri, Sri; Lunzaga, Ele; Salsabila, Tasya Mulia; Nurkholiza, Rahmiyana
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/rr4rhx45

Abstract

In the rapidly growing tourism industry, efficient data management is crucial for strategic decision-making. This study focuses on the design and implementation of a data warehouse to optimize the monitoring dashboard for hotel bookings on an application X, an online hotel booking platform, a product of PT. XYZ. Along with the increase in volume and complexity of booking transaction data, there is an urgent need for an efficient data management system that can provide insights quickly and accurately. To address this, the study uses Kimball's Nine-Step Methodology and implements a star schema, which simplifies complex data relationships and improves query performance. The ETL (Extract, Transform, Load) process is applied to ensure accurate extraction, transformation, and loading of data from operational systems into the data warehouse, thereby guaranteeing consistency and accuracy for analysis. Tools such as SQL Server Management Studio 2022, Visual Studio 2019, and SQL programming were used to develop the data warehouse and the star schema. The results of the study show that the star schema, with a central fact table and surrounding dimension tables, effectively optimizes data processing and query speed. The system is scalable, allowing for future expansion without significant changes, and provides a robust platform for business intelligence. Recommendations include developing dimension analysis, optimizing the ETL process, and integrating predictive analytics to enhance decision-making. Overall, this study provides a structured data warehouse design that significantly improves PT. XYZ's ability to process, analyze, and visualize hotel booking data for strategic decision-making. Keywords: Data Warehouse, Extract Transform Load (ETL), Dashboard, Nine-Step Kimball, SQL.
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.
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
The Relationship Between Interpersonal Communication and Perception of Organizational Cohesion Putri, Handyta Tiara; Davira S, Carelene; Putri, Najwa Nabila Rigusha; Junisah, Bunga Ayu; Tiatri, Sri
Golden Ratio of Mapping Idea and Literature Format Vol. 6 No. 1 (2026): July - January
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grmilf.v6i1.1777

Abstract

This study aims to determine the relationship between communication, interpersonal, and perception of Organizational cohesion among employees of private companies in Greater Jakarta (Jabodetabek). Interpersonal communication involves the direct exchange of messages involving aspects such as self-concept, self-expression, and openness. Organizational cohesion reflects the extent to which members feel socially connected and connected in carrying out group tasks. This study used a quantitative correlational approach with 100 respondents selected through purposive sampling. The instruments used were an interpersonal communication questionnaire based on Bienvenu's theory and organizational cohesion based on the GEQ by Carron et al. The results of the analysis showed no significant relationship between interpersonal communication and organizational cohesion (r = -0.084). This finding differs from previous research and is thought to be influenced by contextual factors such as organizational culture and the dominance of formal communication. Nevertheless, interpersonal communication remains important in creating a healthy and harmonious work environment.
Co-Authors Afendi, Jelien Andy Surya Putra, Andy Surya Angelia, Mikha Anisa Husnul Khotimah Anugrah, Chitta Aprilia Putri, Sherly Amanda Arumsari, Chysanti Audy, Ervina Aufa, Rahmatul Ayesha Desfitrianie Darmawan, Natalia W. Davira S, Carelene Denilson, Hody Desi Arisandi Dewi, Fransisca I.R. Dewi, Tita Tri Utami Dinatha, Vienchenzia Oeyta Dwitama Ery Dewayani Febriani, Oki Kartika FELICIA Fransisca I. R. Dewi Graciela, Evelyn Gregorio, Keanen Handayani, Ani Hannandira, Rosa Harsoyo, Tania Talitha Heni Mularsih Hervanny Zisli Hutagaol, Alice Shizuka Irene, Joe Iriani R. Dewi, Fransisca Jap Tji Beng Jap, Bernard Amadeus Jaya Junisah, Bunga Ayu Larasati, Kirey Lawrence, Valerie Liesera, Novita Limbor, Ellen Gabriel Lunzaga, Ele Lusiana, Fenny Mar'at, Samsunuwiyati Mar’at, Samsunuwijati Mar’at, Samsunuwiyati Margareta Margareth Natalia Mei Ie Merdiasi, Danella Michelle Friscilia Naomi Sutikno, Naomi Nisa, Adilatun Norita Margareth Berta, Norita Margareth Nugraheni, Angelia Prasastha Widi Nurkholiza, Rahmiyana Oeyta, Vienchenzia Pamela Hendra Heng Panatra, Valeria Pandumpi, Shania Krisan Prasetyo, Sylvia Rosiana Putri, Handyta Tiara Putri, Monica Tri Putri, Najwa Nabila Rigusha Putriadi, Harvi Wahyu Rahmah Hastuti Rahmiyana Nurkholizah Riana Sahrani Salsabila, Tasya Mulia Sania Alikha Rahmadira Latupono Santi Yudhistira Saputra, Mikhael Adam Saraswati, Laksmiari Sefira, Fasia Meta Shalsa Dea Purnama Shantya Viratama, Dwi Nurmatin Silky Goswara Soemiarti Patmonodewo Sucitra, Eric Sugeng Astanggo Suzanna Juwita, Suzanna Tarigan, Julia Rostaulina Tasya Mulia Salsabila Tji Beng, Jap Vincent Suryawidjaja Wasino Wasino Widiastuti, Niken Wijaya, Angeline Carolina Wijaya, Yohannes Yulindasari, Adelia Yuniawati, Elisa Ika Zahra Shafira ZAHRO, TIARA Zheng, Margareta