Article Per Year (5 Year)
p-Index From 2021 - 2026
0.444
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All Journal International Journal of Quantitative Research and Modeling Jurnal Sisfotek Global
Musdaifah, Selvy
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Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Environmental Science Physics

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The Effect of Macroeconomic Variables on Indonesia's Import Value Using the OLS Method Januaviani, Trisha Magdalena Adelheid; Kalfin; Hutabarat, Aned Miranda; Nikita; Musdaifah, Selvy; Nacong, Nasria
International Journal of Quantitative Research and Modeling Vol. 6 No. 3 (2025): International Journal of Quantitative Research and Modeling (IJQRM)
Publisher : Research Collaboration Community (RCC)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46336/ijqrm.v6i3.1070

Abstract

This study analyzes the factors influencing Indonesia’s import value during the period 2021–2025 using the Ordinary Least Squares (OLS) method. To ensure the validity of the model, a series of classical assumption tests were conducted in accordance with the Best Linear Unbiased Estimator (BLUE) criteria, including tests for normality, multicollinearity, heteroscedasticity, and autocorrelation. The data were obtained from official publications of the Central Statistics Agency (BPS) and other relevant sources. The estimation results demonstrate that the independent variables, namely the exchange rate (X₁), national income (X₂), foreign exchange reserves (X₃), inflation rate (X₄), and interest rate (X₅), exert varying effects on Indonesia’s import value, with certain variables exhibiting significant influence while others remain insignificant. The model is free from violations of the classical assumptions, thereby meeting the criteria of the Best Linear Unbiased Estimator (BLUE). Keywords: Import Value, OLS, Classical Assumption Tests, Macroeconomics
Cryptography System Based on SEMT Labeling of Total Path and Its Application for Securing Image File by Using Android Studio Januaviani, Trisha Magdalena Adelheid; Bahrirrudin, Bahrirrudin; Nikita, Nikita; Sudarsana, I Wayan; Nacong, Nasria; Sahari, Agusman; Hajar, Hajar; Musdaifah, Selvy; Akbar, Moh Ali; Ningrum, Tri Prasetia
JURNAL SISFOTEK GLOBAL Vol 16, No 2 (2026): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v16i2.15934

Abstract

Cryptography is one of the mathematical techniques used to address information security issues. The study of information security is essential due to the rapid development of information technology, which increases the risk of unauthorized access to sensitive data. Android smartphones are among the most popular communication devices, offering various features such as text messaging, image sharing, audio, video, and more. Given people use Android widely, data stored on Android devices is highly vulnerable to hacking attempts. Therefore, a cryptographic approach based on graph labeling will be applied to secure images on Android smartphones. This method utilizes the Super Edge Magic Total (SEMT) labeling for total path graphs to encrypt and decrypt image pixels, ensuring the security of images. Furthermore, this technique will be implemented to develop an Android-based application using Android Studio. The study results indicate that total path graphs satisfy the SEMT labeling properties and the developed application functions effectively on Android devices to secure images.
Co-Authors Agusman Sahari Akbar, Moh Ali Bahrirrudin, Bahrirrudin Hajar Hajar Hutabarat, Aned Miranda I Wayan Sudarsana Januaviani, Trisha Magdalena Adelheid kalfin Kalfin Nasria Nacong Nikita Nikita Nikita, Nikita Ningrum, Tri Prasetia