Article Per Year (5 Year)
p-Index From 2020 - 2025
1.066
P-Index
This Author published in this journals
All Journal Journal of Applied Science, Engineering, Technology, and Education Variansi : Journal of Statistics and Its Application on Teaching and Research Quantitative Economics and Management Studies Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi ARRUS Journal of Engineering and Technology ARRUS Jurnal Pengabdian Kepada Masyarakat
Alfairus, Muh. Qodri
Unknown Affiliation
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mathematics Public Health Social Sciences Other

Published : 6 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 6 Documents
Search

 1 
REGRESI NONPARAMETRIK SPLINE MULTIVARIAT UNTUK MENENTUKAN FAKTOR YANG MEMPENGARUHI KEMISKINAN DI SULAWESI SELATAN Muh. Qodri Alfairus; Muhammad Arif Tiro; Muhammad Kasim Aidid
VARIANSI: Journal of Statistics and Its application on Teaching and Research Vol 3, No 2 (2021)
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/variansiunm23857

Abstract

Poverty is a condition of economic inability to meet the average standard of living of the people in an area. The percentage of poverty in Indonesia reaches 9.41% or reaches 25.14 million people. On the island of Sulawesi, the poverty percentage of the population is still quite high. One of the regions with the highest percentage of poverty in Sulawesi Island is South Sulawesi Province with a poverty percentage of 8.69%, which is ranked 18th nationally. Poverty can be seen with two indicators, namely the percentage of poor people and the poverty depth index. This study uses 5 factors that are thought to affect poverty in South Sulawesi which include the Literacy Rate, Average Length of Schooling, Open Unemployment Rate, PDRB Per Capita, and School Participation Rate. The data used in this research is data from 2018 which comes from the Central Statistics Agency of South Sulawesi. The method used to model the percentage of poor population and the depth of poverty index is a multivariate spline nonparametric regression. This method is used because it is suitable in modeling data whose patterns change at certain subintervals. The best model that is produced from the nonparametric multi-variate spline regression in South Sulawesi is the knot 2 model and the most influencing factors are the School Participation Rate and GRDP Per Capita. This method is used because it is suitable in modeling data whose patterns change at certain subintervals. The best model that is produced from the nonparametric multi-variate spline regression in South Sulawesi is the knot 2 model and the most influencing factors are the School Participation Rate and GRDP Per Capita. This method is used because it is suitable in modeling data whose patterns change at certain subintervals. The best model that is produced from the nonparametric multi-variate spline regression in South Sulawesi is the knot 2 model and the most influencing factors are the School Participation Rate and GRDP Per Capita
Metode Response Based Unit Segmentation Partial Least Square pada Model Partial Least Square Path Modeling Utriweni Mukhaiyar; Karina Ayudhia Sasmito; Muh. Qodri Alfairus
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi EULER: Volume 11 Issue 1 June 2023
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34312/euler.v11i1.20105

Abstract

Education is an important factor that can affect the development of a country and is a basic human need. To ensure the continuous progress of education, it is necessary to pay attention to the results and achievements of education in Indonesia. In this research model, Partial Least Square Path Modeling (PLS PM) is used to explain the relationship between education outcomes and achievements and the quality dimensions of provincial education in Indonesia. However, because there is heterogeneity in the population unit, the Response Based Unit Segmentation Partial Least Square (REBUS PLS) algorithm is used to overcome the alleged heterogeneity. The results showed that there were 20 influential indicators in the structural model, with the influential paths being student activities to participation, educational facilities and infrastructure to educational outcomes and achievements, student activities to educational outcomes and achievements, and participation to educational outcomes and achievements. REBUS PLS successfully detects heterogeneity and produces two segments, with the value of R2 on the local model greater than the value of R2 on the global model and the GoF value in the GoF large category.
A Decision-Centric Approach to Risk Management in Aviation Stock Investments Using Value at Risk and Portfolio Optimization Singagerda, Faurani Santi; Pratama, Muh. Riyaldi; Alfairus, M. Qodri; Iskandar, Akbar; Mamadiyarov, Zokir
Journal of Applied Science, Engineering, Technology, and Education Vol. 7 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.asci3870

Abstract

This study applies Monte Carlo simulation to analyze and compare the Value at Risk (VaR) of two Indonesian airline stocks—PT Garuda Indonesia (full-service carrier) and PT AirAsia Indonesia (low-cost carrier)—using daily return data from January to December 2023. The research examines risk-return characteristics at individual stock and portfolio levels across different confidence intervals (99%, 95%, and 90%). Results reveal that PT Garuda Indonesia exhibits higher expected returns (0.5168%) but also higher volatility (3.5980%) compared to PT AirAsia Indonesia (0.2412% return, 2.4868% volatility), reflecting their different business models. Remarkably, an equal-weight portfolio demonstrates extraordinary diversification benefits, with positive VaR values across all confidence levels, indicating robust downside protection even in adverse market conditions. At 99% confidence, the monetary VaR for a Rp100,000,000 investment shows potential maximum losses of Rp7,984,331 for Garuda and Rp5,460,951 for AirAsia, while the portfolio generates a minimum gain of Rp1,886,373. This study highlights the effectiveness of Monte Carlo VaR in capturing complex risk dynamics, demonstrates significant intra-sector diversification benefits challenging conventional diversification wisdom, and provides insights into how different airline business models translate into distinctive risk-return profiles. These findings have important implications for investment decision-making and risk management in specialized industry contexts, particularly in emerging markets.
Assessing Investment Risk in the Post-Pandemic Entertainment Industry: A Statistical Analysis of Portfolio Returns and Risk Measures Ahmar, Ansari Saleh; Alsa, Yudhistira Ananda; Alfairus, Muh. Qodri; Rahman, Abdul; Kumar, Rajesh
Quantitative Economics and Management Studies Vol. 6 No. 1 (2025)
Publisher : PT Mattawang Mediatama Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.qems3862

Abstract

This study examines the risk-return profiles of Warner Bros and Walt Disney stocks and analyzes their portfolio optimization potential in the post-pandemic entertainment industry landscape. Using daily stock data obtained from Yahoo Finance, we employ both traditional statistical analysis and Monte Carlo simulation techniques to derive robust estimates of expected returns and risk parameters. Our Value at Risk (VaR) analysis at multiple confidence levels (99%, 95%, and 90%) reveals distinct risk characteristics between the two stocks, with Walt Disney demonstrating more favorable downside protection despite similar historical return patterns. Monte Carlo simulations indicate significantly higher potential returns than suggested by historical data alone, with expected daily returns of 0.803% for Warner Bros and 0.789% for Walt Disney. Portfolio analysis with varying asset allocations demonstrates meaningful diversification benefits despite the substantial correlation (0.657) between the stocks. The optimal portfolio allocation favors a higher weight to Walt Disney (80%) compared to Warner Bros (20%), achieving the highest Sharpe ratio (0.247) and the lowest VaR at 99% confidence (-6.68%). These findings highlight the importance of comprehensive risk assessment tools in portfolio construction, particularly for industries undergoing structural transformation. The study contributes to sector-specific portfolio analysis literature by providing detailed insights into risk-return dynamics of major entertainment stocks in the evolving digital media landscape. For investors seeking entertainment sector exposure, our analysis suggests that a portfolio tilted toward Walt Disney offers the most efficient risk-return profile under current market conditions, though ongoing monitoring remains essential as business models continue to evolve.
TSA App by R Shiny : Time Series Analysis Application for Univariate Series Data Tri Utomo, Agung; Ahmar, Ansari Saleh; Aidid, Muhammad Kasim; Rais, Zulkifli; Alfairus, Muh. Qodri
ARRUS Journal of Engineering and Technology Vol. 5 No. 1 (2025)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/jetech4398

Abstract

Time series analysis is a statistical method used to model and forecast sequential data over time. This modeling is typically performed using software, but most analytical tools require paid licenses. To address this issue, the TSA App by R Shiny is developed as an open-source application that is easily accessible. The application features a dashboard-based interface designed to help users perform univariate time series analysis without requiring programming skills. This study compares the analysis results of the TSA App with other software such as R Studio, Minitab, and Python. The results show that the TSA App produces comparable outputs in terms of visualization, ARIMA modeling, and forecasting accuracy. Therefore, the TSA App provides a practical and legal solution for time series analysis, especially for users who are unfamiliar with coding.
PKM Workshop Pembuatan Micromodul Digital untuk Meningkatkan Keterampilan IT dalam Pengajaran Para Guru SMA Negeri 7 Takalar Meliyana, Sitti Masyitah; Ruliana; Sudarmin; Hidayat, Rahmat; Alfairus, Muh. Qodri
ARRUS Jurnal Pengabdian Kepada Masyarakat Vol. 4 No. 2 (2025)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/454RI.abdiku4283

Abstract

Perkembangan teknologi digital menuntut guru untuk memiliki keterampilan dalam memanfaatkan media pembelajaran berbasis teknologi. Namun, guru-guru di SMA Negeri 7 Takalar masih menghadapi kendala dalam pembuatan dan penggunaan micromodul digital yang interaktif. Kegiatan Pengabdian kepada Masyarakat (PKM) ini bertujuan meningkatkan keterampilan teknologi informasi para guru melalui workshop pembuatan micromodul digital menggunakan aplikasi Canva dan Heyzine Flipbook. Metode pelaksanaan meliputi sosialisasi, pelatihan, penerapan teknologi, pendampingan, evaluasi, dan keberlanjutan program. Kegiatan diikuti oleh 25 guru dengan latar belakang mata pelajaran yang beragam. Hasil menunjukkan bahwa 85% peserta mampu membuat micromodul digital sesuai standar, 75% berhasil mengintegrasikannya ke dalam Rencana Pelaksanaan Pembelajaran (RPP), dan 80% merasakan peningkatan interaktivitas pembelajaran di kelas. Kesimpulannya, pelatihan ini efektif meningkatkan keterampilan IT guru dan berdampak pada peningkatan kualitas pembelajaran di SMA Negeri 7 Takalar.
Co-Authors Abdul Rahman Ahmar, Ansari Saleh Aidid, Muhammad Kasim Akbar Iskandar Alsa, Yudhistira Ananda Karina Ayudhia Sasmito Mamadiyarov, Zokir Muhammad Arif Tiro Muhammad Kasim Aidid Pratama, Muh. Riyaldi Rahmat Hidayat Rais, Zulkifli Rajesh Kumar Ruliana Singagerda, Faurani Santi Sitti Masyitah Meliyana R. Sudarmin Tri Utomo, Agung Utriweni Mukhaiyar