Article Per Year (5 Year)
p-Index From 2020 - 2025
0.408
P-Index
This Author published in this journals
All Journal Bulletin of Community Engagement Uranus: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Bintang Amirul Mukminin
Unknown Affiliation
Religion Arts Humanities Computer Science & IT Education Social Sciences Other

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

Found 2 Documents
Search

 1 
Analisis Teknikal dan Fundamental Saham Pada Indeks Sharia Growth dengan Metode Peramalan Deterministik dan Error Correction Model (ECM) Nurfajriyani; Elsa Amelia Nur Arimba; Nisrina Aulia Salsabila; Ratna Maulidah Wulandari; Muhammad Hasan Alwi Abu Sifa; Naswa Sahira; Muhammad Akmal Hafiz Abidin; Bintang Amirul Mukminin; Fausania Hibatullah; Bambang Hadi Santoso Dwidjosumarno
Bulletin of Community Engagement Vol. 4 No. 3 (2024): Bulletin of Community Engagement
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/bce.v4i3.1683

Abstract

Stock investment is a form of long-term capital allocation aimed at generating future returns while supporting economic growth through funding innovation and production capacity. This study focuses on issuers listed in the Sharia Growth Index, analyzed using a comprehensive approach that includes financial ratio calculations to evaluate fundamental performance, clustering to group stocks based on specific characteristics, and risk-return analysis to assess investment potential and risks. The analysis identified PT Adaro Energy Indonesia Tbk (ADRO) as the selected issuer due to its high returns and strategic role in the mining sector. Subsequently, forecasting methods, including the Error Correction Model (ECM) and Winter’s model, were applied to predict ADRO's stock price movements. The findings indicate that Winter’s model provides the best forecasting results for ADRO, offering high accuracy in predicting future stock price trends. These results provide strategic insights for capital market participants to make more effective and profitable investment decisions. This research serves as a reference for investors in optimizing investment strategies based on integrated technical and fundamental analysis.
Analisis Faktor yang Mempengaruhi Kemiskinan Provinsi Jawa Timur Tahun 2023 dengan Metode Principal Component Analysis Bintang Amirul Mukminin; Muhammad Hasan Alwi Abu Sifa; Sri Pingit Wulandari
Uranus : Jurnal Ilmiah Teknik Elektro, Sains dan Informatika Vol. 2 No. 4 (2024): Desember: Jurnal Ilmiah Teknik Elektro, Sains dan Informatika
Publisher : Asosiasi Riset Teknik Elektro dan Informatika Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/uranus.v2i4.494

Abstract

Poverty is one of the main issues in Indonesia although many policies have been implemented by the government to overcome this problem. With this problem, a study was conducted which aims to identify factors that affect poverty in East Java in 2023 using the principal component analysis (PCA) method. PCA is a multivariate analysis technique used to extract information from correlated data, so as to summarize several variables into principal components. In this study, the variables used include the number of poor people, percentage of poor people, poverty severity index, open unemployment rate, labor force participation rate, and life expectancy from 38 districts/cities in East Java. It was found that the data characteristics had low variance with the exception of one variable, and met the assumptions of multivariate normal distribution, interrelationship between variables, data sufficiency, and correlation between variables suitable for PCA. Factor analysis with PCA produces two main components, namely community living conditions and labor conditions, which can represent the original variables in their influence on poverty in East Java. Suggestions from this study are expected to be a reference for policy makers in improving community welfare and labor conditions in East Java. Future research is expected to add related variables to obtain more detailed results.
Co-Authors Bambang Hadi Santoso Dwidjosumarno Elsa Amelia Nur Arimba Fausania Hibatullah Muhammad Akmal Hafiz Abidin Muhammad Hasan Alwi Abu Sifa Naswa Sahira Nisrina Aulia Salsabila Nurfajriyani Ratna Maulidah Wulandari Sri Pingit Wulandari