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All Journal Variance : Journal of Statistics and Its Applications Jurnal Statistika dan Aplikasinya Parameter: Journal of Statistics Enthusiastic : International Journal of Applied Statistics and Data Science MATHunesa: Jurnal Ilmiah Matematika Smart Society: Community Service and Empowerment Journal RENATA Jurnal Pengabdian Masyarakat Kita Semua Indonesian Journal of Applied Mathematics Jurnal KALANDRA Parameter: Jurnal Matematika, Statistika dan Terapannya TeknoKreatif: Jurnal Pengabdian kepada Masyarakat Journal of Mathematics, Computation and Statistics (JMATHCOS)
Ayu Sofia
Institut Teknologi Sumatera, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Languange, Linguistic, Communication & Media Mathematics Physics Social Sciences Other

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Journal : Parameter: Journal of Statistics

 1 
Factor Analysis for Increasing Reading Literacy in Indonesia Pitri, Rizka; Sofia, Ayu
Parameter: Journal of Statistics Vol. 2 No. 2 (2022)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2022.v2.i2.15898

Abstract

Low interest in reading is a problem for our nation that must be solved, because Indonesia to occupy second position from bottom in terms of literacy. Most of the provinces in Indonesia are at low literacy activity levels and none of the provinces are included in the high literacy activity level. The lack of interest in reading can be influenced by many factors. Access of supporting resource where people get literacy materials, such as libraries, bookstores, and mass media, how people to get the information technology, and media devices to access literacy materials are the factor that can be affect the interest of reading. Literacy is one of the important cultures for a country. That is because the culture is able to influence the intelligence and well-being of a country's life. So the study aims to see what factors affect to increasing the literacy reading in the provinces in Indonesia. This study uses k-means clustering before applying factor analysis. Based on k-means clustering, two clusters are formed and showed one of the cluster showed that the second cluster is the provinces that have the highest number of library’s facilities. In addition based on the analysis factor in each cluster, two factors were formed, namely the standard factor for reading literacy levels and supporting the facilities for reading literacy. It can be concluded that the way to increase reading literacy in two clusters of the area in Indonesia are by increasing the standard of reading literacy level and supporting the facilities for reading literacy.
FORECASTING INDONESIAN ISLAMIC BANK (BSI) SHARE PRICES USING THE FUZZY TIME SERIES CHENG METHOD Nurfitra; Sofia, Ayu
Parameter: Journal of Statistics Vol. 3 No. 2 (2023)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Tadulako

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22487/27765660.2023.v3.i2.16920

Abstract

Shares were one of the most popular financial market instruments. In Indonesia, stock market activity continued to increase so that stock investment was in great demand by the public, especially in the banking sector. Indonesia had a majority Muslim population. Based on this, Indonesia had good potential in the field of Islamic finance, especially Islamic banking. One of the Islamic banks that had achieved positive performance was Bank Syariah Indonesia (BSI). BSI's stock price every day from February 1, 2021, to January 11, 2023, tended to experience a downward trend and fluctuated, making it difficult for investors to see the prospects of a company in the future. For this reason, a forecasting technique was needed. A good forecasting method used for data with trend patterns both down and up was Cheng's Fuzzy Time Series (FTS) method. So, this study used Cheng's FTS method to predict BSI's share price in the future. The calculation of the accuracy of the prediction results in this study used Mean Absolute Percentage Error (MAPE). The results showed that the forecasted value of BSI's share price for the period January 12, 2023, to January 31, 2023, was constant at 1,353.267 million with a MAPE value of 3.09%.
Co-Authors Abda Abda Aditya Rahman Agus Irawan Alfian, Muhammad Nuril Aliem, Dien Manarul Andi Fitriawati Andirasdini, Indah Gumala Azzanina, Nanda Bagus Sartono Baiti, Putri Isnaini Cahyaning Bariq, Muhammad Shidqi Abdul Berliana Ratam, Aldila Nur Indah Dani Al Mahkya Dewi, Karina Sylfia Dien, Zulfanita Dila Tirta Julianty Dwi Mahrani Fitriawati , Andi Fuji Lestari Fuji Lestari Gustina K. S, Annisa Hevita Gustriza Erda Irfan, Miftahul Irwan, Sri Efrinita Josepa , Tiffany Audrey Lailani, Ade Lestari, Yushinta Cahya Linda Rassiyanti Listiani, Amalia Madonna, Nora Maharani, Khairunnisa Marisa . Mt, Ma’rufah Hayati Muthoharoh, Luluk Nasrullah Nurfitra Pitri, Rizka Rassiyanti, Linda Rivai, Muklas Rizka Pitri Rosni, Rosni Sasongko, Dharu Cahyoaji Siahaan, Marco Marolop Simanjuntak, Erica Grace Simarmata, Gabriel Camoranesa Siregar, Abian Avisena Theo Markus Yuliana Yuliana Yulita, Tiara