Article Per Year (5 Year)
p-Index From 2021 - 2026
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This Author published in this journals
All Journal The Indonesian Journal of Computer Science Global Research in Economics and Advanced Theory
Hayatun Maghfirah
Unknown Affiliation
Religion Humanities Computer Science & IT Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Social Sciences Other

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The Mapping of Vegetation Density Changes Based on the Normalized Difference Vegetation Index Using Landsat OLI in The Coastal Region of Aceh Barat Putri, Andriani; Hayatun Maghfirah
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3489

Abstract

Damage to coastal vegetation caused by the tsunami occurred rapidly, despite the critical role of vegetation in supporting life. Vegetation density is quantified through the use of an index known as the NDVI (Normalized Difference Vegetation Index). This index can be applied to assess changes in vegetation density over several years in coastal regions. The focus of this study was to analyze the changes in vegetation density along the coast of West Aceh in the years 2013, 2015, and 2020. The findings indicated that vegetation density in 2013 was notably low, with NDVI values falling within the range of -0.1495 to 0.1591, indicating a lack of vegetation. Furthermore, the percentage of areas with moderate vegetation density appears to have increased steadily year by year, with values of 26.73% in 2013, 27.50% in 2015, and a notable acceleration to 37.61% in 2020.
Perancangan Aplikasi ToDo Menggunakan Node.js dan REST API Rara Syifa Qaisa; Andriani Putri; Hayatun Maghfirah
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3574

Abstract

Dalam perancangan aplikasi Todo Chickin, penulis menyoroti tantangan terkini dalam manajemen tugas sehari-hari. Tulisan ini memperkenalkan pendekatan yang menggabungkan identifikasi kebutuhan pengguna, desain antarmuka yang intuitif, implementasi menggunakan Node.js, serta pembuatan REST API untuk menyediakan solusi yang responsif dan efisien. Tujuan penelitian ini adalah menciptakan aplikasi manajemen tugas yang mengakomodasi kebutuhan pengguna dan meningkatkan produktivitas mereka. Hasilnya menunjukkan bahwa penerapan metodologi pengembangan yang terstruktur dan penggunaan teknologi modern dapat menghasilkan solusi aplikasi yang responsif, aman, dan mudah digunakan dalam manajemen tugas sehari-hari.
THE INFLUENCE OF CLAIM SERVICE QUALITY ON CUSTOMER LOYALTY: A STUDY ON GENERAL INSURANCE IN INDONESIA Hayatun Maghfirah
GLOBAL RESEARCH IN ECONOMICS AND ADVANCE THEORY (GREAT) Vol 2 No 2 (2025): GREAT Journal
Publisher : GREET

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.65788/greatjournal.v2i2.75

Abstract

This study examines the relationship between trading volume and stock price volatility in the Indonesian capital market, an emerging market characterized by rapid retail investor participation and sensitivity to global shocks. Using daily data from 100 firms listed on the Indonesia Stock Exchange (IDX), including LQ45 constituents, over the period 2018–2023, the analysis employs panel regression and correlation models with firm size, sector, interest rates, and inflation as control variables. Stock price volatility is measured by the standard deviation of daily returns, while trading volume is captured through absolute and average daily activity. The results reveal a strong positive association between trading activity and price volatility, with a correlation coefficient of 0.65 (p < 0.01). Regression findings indicate that a 1% increase in trading volume corresponds to a 0.5% rise in volatility, confirming that heightened trading intensifies price fluctuations. Sectoral heterogeneity is also evident: technology stocks exhibit the highest sensitivity (r = 0.72), whereas consumer goods show relatively moderate responses. The study contributes to the literature by providing the first large-scale, sector-based empirical evidence from Indonesia, underscoring the importance of trading volume as a volatility driver. Practical implications are offered for investors, regulators, and policymakers in managing risk and fostering market stability.
Co-Authors Andriani Putri Putri, Andriani Rara Syifa Qaisa