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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Perwira Journal of Science and Engineering (PJSE) Prosiding Seminar Nasional Official Statistics International Journal of Economics and Management Research
Bayun Matsaany
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Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Mathematics Social Sciences

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Angka Harapan Hidup dan Makroekonomi Berkaitan? Rifki Chandra Utama; Endah Setyowati; Bayun Matsaany
Seminar Nasional Official Statistics Vol 2022 No 1 (2022): Seminar Nasional Official Statistics 2022
Publisher : Politeknik Statistika STIS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (401.942 KB) | DOI: 10.34123/semnasoffstat.v2022i1.1148

Abstract

One of the dimensions of the Sustainable Development Goals (SDGs) is the economy. The performance of the economy can be seen from macroeconomic indicators, namely Gross Domestic Product (GDP), inflation, labor force index, and interest rates. The SDGs are also very closely related to demographic conditions, especially the level of health and welfare which is reflected in life expectancy. In this study, it is proposed to model life expectancy with macroeconomic variables using the Neural Network (NN) method. The selection of the NN method is based on the existence of a non-linear relationship between the life expectancy variable and several macroeconomic variables. The data used is Indonesia's annual data for the period 1990-2020. NN modeling uses several combinations, namely a combination of inputs, number of neurons, and activation functions. Based on these combinations, the best model is obtained, namely the NN(4,4,1) model with the activation function of tanh. The model explains that the four macroeconomic variables have an effect on life expectancy. This is in accordance with the argument in the book Macroeconomics that life expectancy modeling can be influenced by macroeconomic variables.
Pembentukkan Portofolio Optimal pada Saham JII dengan Indeks Sharpe, Treynor, dan Jensen pada Periode 2018-2023 Khairul Alim; Anisa Rahmawati; Bayun Matsaany
Jurnal Matematika, Statistika dan Komputasi Vol. 19 No. 3 (2023): MAY, 2023
Publisher : Department of Mathematics, Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20956/j.v19i3.26354

Abstract

Investment is an activity carried out by investors by placing their funds in an asset. The purpose of investment is to gain long-term profits in the future. These profits come from changes in the price of assets in the future, which refers to the increase in the value of an asset over time. Currently, there are several types of investments. However, the type of investment that is quite widely practiced by Indonesian society is stock investment. The Indonesia Stock Exchange (IDX) groups the stocks available in the stock market into several indexes. One index that is currently receiving attention from Indonesian society is the Jakarta Islamic Index (JII). The JII is a collection of shares from companies that adhere to sharia principles in their business operations. Investment activities must be carried out carefully by conducting analysis beforehand so that investors do not make mistakes in choosing the stocks to be purchased. Several popular methods for selecting stocks are the Sharpe, Treynor, and Jensen indexes. These three indexes can be used to select the best stocks based on their respective criteria. This study combine these three indexes to prioritize the formation of a portfolio. The data used in this study is the closing value of stock prices in the JII index from March 2018 to February 2023. The optimization resulted in a composition of 69.17% for MDKA shares, 26.55% for HRUM shares, and 4.28% for BRIS shares of the total portfolio composition.
Analysis Return on Assets in Transportation and Logistics Sector Companies on the Indonesia Stock Exchange Anisa Rahmawati; Bayun Matsaany; Khairul Alim
International Journal of Economics and Management Research Vol. 4 No. 1 (2025): April : International Journal of Economics and Management Research
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/ijemr.v4i1.305

Abstract

Return on assets is a financial ratio used to measure a company's ability to generate overall profits. This research aims to see and analyze the effect of the current ratio, debt-to-asset ratio, and total assets turnover on return on assets in the transportation and logistics companies listed on the Indonesia Stock Exchange in 2017-2022. The research method used in this research is quantitative. Data were analyzed using multiple linear regression analysis with the help of SPSS 25 and hypothesis testing using simultaneous tests (F test) and partial tests (t-test). The data used is secondary data obtained from the company's published financial reports. The sampling technique in this research was a purposive sampling method based on certain criteria. The results show that simultaneously the current ratio, debt-to-asset ratio, and total assets turnover influence the return on assets of 94.5%. Meanwhile, partially, the debt-to-asset ratio affects the return on assets while the current ratio and total assets turnover do not affect the return on assets.
PEMODELAN INDEKS PEMBANGUNAN MANUSIA DI PROVINSI JAWA TENGAH MENGGUNAKAN MODEL MULTILEVEL Marwah Masruroh; Bayun Matsaany
Perwira Journal of Science & Engineering Vol 2 No 1 (2022)
Publisher : Universitas Perwira Purbalingga

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Faktor-faktor yang mempengaruhi nilai Indeks Pembangunan Manusia (IPM) telah cukup banyak dilakukan, namun demikian masih sedikit studi yang memperhatikan faktor lingkungan dalam literaturnya. Dimana karakteristik lingkungan yang berbeda akan memberikan ragam nilai IPM yang berbeda pula. Penelitian ini bertujuan untuk memodelkan faktor Angka Melek Huruf (AMH), Rata-rata Lama Sekolah (RLS), Angka Harapan Hidup (AHH), dan Pengeluaran per Kapita (PPP) terhadap nilai IPM pada kabupaten-kabupaten di Provinsi Jawa Tengah. Pemodelan multilevel yang diterapkan menunjukkan bahwa keempat faktor tersebut berpengaruh secara signifikan terhadap nilai IPM. Pada tiga sampel kabupaten yang dipilih, yaitu kabupaten Purbalingga, Magelang, dan Sragen, keempat faktor tersebut secara berurutan dapat menjelaskan nilai IPM dengan baik yaitu sebesar 96,22%, 98,71%, dan 92,50%.
Co-Authors Anisa Rahmawati Anisa Rahmawati Endah Setyowati Khairul Alim Khairul Alim Marwah Masruroh Rifki Chandra Utama