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All Journal Jurnal Ekonomi Jurnal Ilmiah Manajemen dan Bisnis (JIMB) MIX : Jurnal Ilmiah Manajemen Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis Journal of Economic, Bussines and Accounting (COSTING) Pendas : Jurnah Ilmiah Pendidikan Dasar YUME : Journal of Management Referensi : Jurnal Ilmu Manajemen dan Akuntansi Jurnal Doktor Manajemen (JDM) Jurnal Ekonomi Manajemen Sistem Informasi Cendekia: Jurnal Pendidikan dan Pembelajaran Jurnal Fakultas Ilmu Keislaman UNISA Kuningan Jurnal Ilmiah Wahana Pendidikan International Journal of Economy, Education and Entrepreneurship (IJE3) Indonesian Journal of Engagement, Community Services, Empowerment and Development (IJECSED) Indonesian Journal of Economy, Business, Entrepreneuship and Finance (IJEBEF) International Journal of Engagement and Empowerment (IJE2) Journal Corner of Education, Linguistics, and Literature GEMILANG: Jurnal Manajemen dan Strategi Bisnis Jurnal Bina Bangsa Ekonomika Indonesian Collaboration Journal of Community Services (ICJCS) International Journal of Multidisciplinary Research and Literature (IJOMRAL) Batara Wisnu : Indonesian Journal of Community Services Journal of Innovative and Creativity Bhinneka Multidisiplin Journal
Angrian Permana, Angrian
Universitas Bina Bangsa
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Journal : Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis

 1 
Prediksi Harga Saham Indonesia pada Masa Covid-19 Menggunakan Regresi Pohon Keputusan Rina Nopianti; Andreas Tri Panudju; Angrian Permana
Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis Vol 6, No 1 (2022): Jurnal Ecodemica: Jurnal Ekonomi, Manajemen dan Bisnis
Publisher : LPPM Universitas BSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (354.204 KB) | DOI: 10.31294/eco.v6i1.11365

Abstract

Stock price prediction is an interesting area of data mining. Many variables affect stock prices. Stock prices fluctuate, especially in the Covid-19 era which has an impact on the economy. This study aims to predict the stock price of Indonesian telecommunications, especially in the covid19 era. The object of this research is the financial statements of companies listed on the Indonesia Stock Exchange, where data related to stock prices of telecommunications companies are used as samples in the data processing of this study. In this study, the regression techniques that will be used are Multiple Linear Regression, Support Vector Regression, Decision Tree Regression, and K-Nearest Regression. The results showed that the fundamental data and stock prices have a relationship. High correlation coefficient resulted from Decision Tree Regression and K-Nearest Regression. Decision Tree Regression produces good results on the Train Test Split and KFold Cross Validation data, 2.99% and 2.98% repeatedly. It can conclude that despite the fact that the pandemic scenario has had a significant impact on the stock market, the study's findings suggest that fundamental data and stock prices have a relationship. Decision Tree Regression and K-Nearest Regression both produced high correlation coefficients.  Keywords: Stock Price, Prediction, Decision Tree, Regression, COVID-19
The Effect Of Academic Service Quality On Satisfaction And Loyalty Of Students University Angrian Permana*; M. Havidz Aima; Eny Ariyanto; Adi Nurmahdi
Jurnal Ecodemica : Jurnal Ekonomi Manajemen dan Bisnis Vol 4, No 2 (2020): Jurnal Ecodemica: Jurnal Ekonomi, Manajemen dan Bisnis
Publisher : LPPM Universitas BSI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (350.66 KB) | DOI: 10.31294/jeco.v4i2.7979

Abstract

ABSTRACTThis aims is to determine the factors of academic service quality and analyze the relationship between academic service quality to student satisfaction and loyalty at Bina Bangsa University. This is explanatory research with the population of the students of Bina Bangsa University odd semester, academic year 2018/2019. The research sample uses purposive sampling with a total of 200 respondents. Data were analyzed with the Equation Model Structure (SEM) consisting of measurement models and structural models. It can be concluded that improving the quality of the system will be able to influence student satisfaction but not necessarily be able to increase student loyalty directly. Indirectly through student satisfaction, student loyalty can be increased through the quality of the system. Improving the quality of information both directly and indirectly can affect student satisfaction and loyalty. Quality of service at a tertiary institution becomes very important in increasing student satisfaction and loyalty. Keywords: Satisfaction; Loyalty; Quality of academic services.
Co-Authors Abdus Salam, Abdus Adi Nurmahdi Agustina Ahmad Mukhlis Ahmad Mukhlis, Ahmad Ahmad Yusup Alpiah, Alpiah Anti Wulan Agustini Ardi Hidayat Astri Dewi Atoilah, Atoilah Azizurrohim, Azizurrohim Basrowi David Elien Simamora Dini Martinda Lestari Dwi ASTUTI Engkos Kosasih Eny Ariyanto Erika Karunia Fadhilah, Laila Nur Fauzi, Muhdar Hadi, Wahyudi Prasetyo Inayati, Tatu E. Indrarini, Retno Intan Rahmania Iqballulloh Iqballulloh Irnawati Irnawati Isma Khoirunnisa Juhaeni, Ade Juliana, Voni Dwi Khaerul Umam Khodijah, Ina Khoirunnisa, Isma Komalasari Komalasari Listiawati Listiawati Listiawati Listiawati, Listiawati Lumangkun, Jimi M Asyirullah Intizam M. Havidz Aima Mariana, Ria Mohamad Husni, Mohamad Munir Hidayat, Asep Neneng Masitoh Nopianti, Rina Nurhasanah, Eneng Nuriah, Siti Nuroniah, Enung Panudju, Andreas Tri Praditya, Dinar Okto Purbayana, Rendy Puspa, Rani Putro, Eko Raden Irna Afriani Ramadhan, Agung Rani Puspa Rani Puspa Rani Puspa Ratnaningsih Ratnaningsih, Ratnaningsih Rian Aji Pangestu Rinah Rizki Najiulloh Rizky Arief Rustandi, Tata Ruswana, Chindy Sahruromdon, Muhamad Saiful Rohmat Sartika, Ratu Sesiyana Nuryanti Siti Asiah Siti Ropiah, Eva Srimarwati, Enong Suharyon, Suharyon Suhery Suhery Supriatih, Ratih Surani, Dewi Sutihat, Sutihat Taryudin S, Acep Tata Rustand Tata Rustandi TITIN SUPRIATIN, TITIN Umalihayat, Umalihayat Umalihayati Umalihayati W. Wahyudi Wahyudi Wahyudi Wahyuni, Asti Dian Sri Wendi Adhireja Winda Widyanty Yollanda Octavitri Yuliah, Yuliah Yuliawati, Teti Zahra, Surti Zakiyah, Titin