Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
P-Index
This Author published in this journals
All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Instal : Jurnal Komputer
Alviona Marsya
Unknown Affiliation
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences

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

Found 2 Documents
Search

 1 
Website-Based Student Digital Report Card Design Khairul; Alviona Marsya; Triyadi, M Dico; Irsyad, Muhammad
Bahasa Indonesia Vol 15 No 02 (2023): Instal : Jurnal Komputer Periode (Juli-Desember)
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalkomputer.v15i02.152

Abstract

The use of computer technology continues to grow so that it has an impact on changes to a system, which was previously done manually, now the system can be computerized. Various education sectors, both formal and informal, continue to improve in various ways ranging from learning methods, learning media to learning outcomes that we know by the term report card. Digital report cards are not something that is classified as new in homeland education. Transferring grades that have been printed from the RDM (Raport Digital Madrasah) application to the report card book will take a long time because of the large number of students. A large number of grade data files will cause storage to accumulate. If there is a mistake in writing the value, searching for value data will take a long time. Not to mention some problems that occur when the report card given in the form of sheets of paper is wet, torn or lost which causes the school to have to reprint many times To overcome these problems, it is necessary to design a website-based digital report card information system that can be accessed by teachers, educators, and especially students. Schools need this system to managerialize student grade data, so that students and parents can view report card data online and anywhere as long as it is connected to an internet connection without the need to print it. System Development Life Cycle (SDLC) is the process of creating and changing systems and models and methodologies used to develop a system. The results obtained are a digital report card system that is practical to use and can minimize the risk of damage and loss of data hoping to help in retrieving student report cards more easily, can view data online, without the need to come to school.
PEMANFAATAN BUSINESS INTELLIGENCE UNTUK VISUALISASI DATA DAN PEMETAAN KASUS DATA KELUARGA BERISIKO STUNTING DENGAN MENGGUNAKAN TABLEAU Alviona Marsya; Darmeli Nasution; Rian Farta Wijaya
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol. 8 No. 2 (2025): May 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i2.3160

Abstract

Abstract: The utilization of Business Intelligence (BI) with Tableau effectively aids in mapping and analyzing cases of families at risk of stunting. Stunting, a condition caused by chronic malnutrition, remains a major health issue in Indonesia, particularly in Langkat Regency, North Sumatra. A quantitative research methodology was applied using the BI framework, encompassing data collection, ETL (Extract, Transform, Load) processes, and interactive visualization through Tableau dashboards. Data from 2022 to 2024, including family risk categories and regional coordinates, were transformed into comprehensive visual representations. The visualization results demonstrate the effectiveness of Tableau in simplifying complex datasets and supporting more targeted interventions. Emphasis is placed on the importance of continuous monitoring and data updates to ensure accurate and timely responses to stunting cases. Keyword: Families At Risk Of Stunting; Business Intelligence; Data Visualization; TableauAbstrak: Pemanfaatan Business Intelligence (BI) dengan Tableau mampu membantu memetakan dan menganalisis kasus keluarga berisiko stunting. Stunting, sebagai kondisi kekurangan gizi kronis, menjadi masalah kesehatan utama di Indonesia, khususnya di Kabupaten Langkat, Sumatera Utara. Metodologi penelitian kuantitatif digunakan dengan kerangka kerja BI yang mencakup pengumpulan data, proses ETL (Extract, Transform, Load), serta visualisasi interaktif melalui dashboard Tableau. Data tahun 2022 hingga 2024, meliputi kategori risiko keluarga dan koordinat wilayah, diolah menjadi representasi visual yang komprehensif. Hasil visualisasi memperlihatkan efektivitas Tableau dalam menyederhanakan data kompleks dan mendukung tindakan yang lebih tepat sasaran. Pentingnya pemantauan berkelanjutan dan pembaruan data ditekankan agar respons terhadap kasus stunting dapat dilakukan secara akurat dan tepat waktu.Kata kunci: Keluarga Berisiko Stunting; Business Intelligence; Visualisasi Data; Tableau 
Co-Authors Darmeli Nasution Khairul Muhammad Irsyad Rian Farta Wijaya Triyadi, M Dico