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All Journal Jurnal Ilmiah Telaah Manajemen CSRID (Computer Science Research and Its Development Journal) International Journal of Computer and Information System (IJCIS)
Soepriyanto Budi
STIMIK Sepuluh Nopember Jayapura
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering

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PENGARUH STRUKTUR KEPEMILIKAN MANAJERIAL DAN PUBLIK, UKURAN PERUSAHAAN, EBIT/SALES DAN TOTAL DEBT/TOTAL ASSETS TERHADAP NILAI PERUSAHAAN YANG TELAH GO PUBLIC DAN TERCATAT DI BURSA EFEK JAKARTA Budi, Soepriyanto; Titiek, Suwarti
Jurnal Ilmiah Telaah Manajemen Vol 1 No 3 (2004): VOL. 1 NO. 3 2004
Publisher : Jurnal Ilmiah Telaah Manajemen

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3641.274 KB)

Abstract

Companies listed in stock exchange have a different ownership structure with ordinary companies. Baicaally, the main differences are that they have public stockholders beside managerial stock holders. There have suggested that there werw are relationship between ownership composition and firm value. Various researches had been conducted in this area with companies listed developed capital market as an object. So this is a motivation to do this research in emerging capital market mainly in Indonesia capital market. This research  aimed to scrutinize the impact of managerial ownership firm’s size, EBIT/sales and total debt/total asset on firm’s value which proxies with price book value. Indonesia Capital Market Directory and BEJ corner provided data needed, while 72 companies were obtaid\ned by using purposive sampling method as a sample in this study. Research question will be answer by using multiple regression metho technique. The findings shows that according partial mahnagerial ownership firm’s size EBIT/sales and total debt/total assets variable have significant value of 0.02; 0.02; 0.00 and 0.00, because significant value are under 5% so it will have significant impact on firm’s value. Public ownership haven’t significant impact on firm’s value, bcause significant value upper 5% that are 0.21%. in simultan way all independent variables are free to signicantly impact an firms value, because significant value is under 5% that is 0.00. coefisient determinant analysis is 37% so that variation independent variables can explained firm’s value in 37% and 63% explained uther factor outside model. Key words:   managerial ownership, public ownership, firm’s size, EBIT/sales, total debt/total assets and value companies.
Optimalisasi Manajemen kinerja TI Perusahaan Perbankan Menggunakan BSC dan COBIT 4.1 Pawan, Elvis; Soepriyanto, Budi
CSRID (Computer Science Research and Its Development Journal) Vol 11, No 2 (2019): CSRID JUNI 2019
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (216.709 KB) | DOI: 10.22303/csrid.11.2.2019.74-83

Abstract

Mengoptimalisasi kinerja TI untuk mendukung tercapainya visi dan misi perusahaan merupakan hal yang wajib dilakukan. Salah satu tujuan BPR PMM adalah memberikan pelayanan terbaik kepada nasabah, hal itu bukan sesuatu yang mudah tercapai tanpa bantuan TI. Untuk mengetahui peranan TI dalam sebuah perusahaan maka perlu dilakukan pengukuran secara bekelanjutan, penelitian ini bertujuan mengukur peranan TI pada BPR PMM apakah digunakan secara optimal atau belum.            Dalam penelitian ini mengukur peranan TI pada BPR PMM menggunakan framework BSC dan COBIT 4.1, metode ini baik dikombinasikan untuk mengukur tata kelola TI dalam sebuah perusahaan jika dibandingkan dengan beberapa metode lain seperti Peterson dan weill-Ross.Penelitian ini menghasilkan sebuah hasil pengukuran tingkat kematangan penerapan TI dalam mendukung operasional pada BPR PMM, dari semua proses COBIT yang dinilai tingkat kematangan terendah pada proses PO2=2,733 dengan nilai gap 1,267, sedangkan nilai tertinggi pada proses PO8=3,790 dengan nilai gap =0,210. Secara umum tingkat kematangan penerapan TI pada BPR PMM berada pada level 3 dengan kategori defined sedangkan tingkat kematangan diharapkan berada pada level 4 dengan kategori  manage and measurable.
Comparative Analysis of K-NN and Naïve Bayes Methods to Predict Stock Prices Budi Soepriyanto
International Journal of Computer and Information System (IJCIS) Vol 2, No 2 (2021): IJCIS : Vol 2 - Issue 2 - 2021
Publisher : Institut Teknologi Bisnis AAS Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/ijcis.v2i2.32

Abstract

Abstract— Buying and selling shares is a transaction that is widely carried out at this time, especially buying and selling stocks online which are widely available in the market, to make buying and selling shares require ability or knowledge so that the buying and selling of shares are profitable, to be able to help economic players predict prices. Profit shares or not purchased in the future, this research will conduct stock price predictions using classification methods, namely K-Nearest Neighbor and Naïve Bayes, to predict the stock price data used for one month in minute levels totalling 39065 data, based on prediction results. The highest results obtained were using Naïve Bayes with an accuracy value of 69.38 then the K-Nearest Neighbor method with a K = 5 value of 67.25%, based on these results it can be concluded that the use of the K-Nearest Neighbor and Naïve Bayes methods for prediction share price not yet owned I high accuracy, so it can be combined with other methods or by using other variable predictors.
Co-Authors Pawan, Elvis Titiek Suwarti