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Dynamic program for selecting syari’ah share for maximum profit Maslihah, Siti; Nadhifah
Journal of Natural Sciences and Mathematics Research Vol. 11 No. 1 (2025): June
Publisher : Faculty of Science and Technology, Universitas Islam Negeri Walisongo Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21580/jnsmr.v11i1.25420

Abstract

The right investment can increase a person's income by placing a number of funds in an investment instrument. One of the investment instruments is investing in the capital market by buying a number of stocks with good fundamentals. The selection of syari’ah shares is the right choice for the Indonesian people, most of whom are Muslim. The method used to select Islamic stocks in this study is dynamic programming. Simulations carried out with dynamic program algorithms produce selected syari’ah stocks, namely ACES, ICBP, SMGR and ANTM in order to get the maximum profit. Among the five shares, the one that provided the greatest return was ANTAM shares. This was proven in 2025 when ANTAM's share price rose by 22% even though the Indonesian economy was sluggish. ANTAM shares are given priority as shares that an investor must own.
ENHANCING UTAUT FRAMEWORK TO EXPLAIN ACTUAL USAGE OF THE SINAU DIGITAL LEARNING MANAGEMENT SYSTEM WITH BEHAVIORAL INTENTION AS MEDIATING VARIABLE Nadhifah; Ibadil Maula, Farij
Jurnal Pendidikan Administrasi Perkantoran (JPAP) Vol 13 No 3 (2025): December
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jpap.v13n3.p665-677

Abstract

Phenomenon/Issue: The massive digital transformation in academia has integrated technology into teaching and learning. As an adaptive learning tool, LMS can optimize the management of academic information and learning activities. The students, in the faculty of economics and business, used LMS with various backgrounds and different levels of experience Purpose: This study aims to examine usage behavior on the Sinau Digital Learning Management System educational platform through the application of the UTAUT model. Novelty: This study was conducted in the context of technology acceptance in the academic field by developing UTAUT theory through role of Behavioral Intention. Research Methods: This study used quantitative approach based on a survey of 344 students. The data were analyzed using Partial Least Square-Structural Equation Modeling (PLS-SEM). Results:All hypotheses in this study were accepted. Each variable in the UTAUT model has a significant effect either directly or through the mediating variable of behavioral intention. Research Contributions: The study expands the UTAUT framework by integrating Behavioral Intention as a mediator in LMS use, offering insights for optimizing system development in higher education.