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All Journal JURNAL SMART Jurnal Teknik Informatika UNIKA Santo Thomas Jurnal Pendidikan Akuntansi dan Keuangan Jurnal Teknik Informatika Unika Santo Thomas (JTIUST)
Sinta Novianti, Sinta
English Department, STKIP PGRI LUBUKLINGGAU
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media

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THE EFFECTIVENESS OF USING PICTURES TO IMPROVE STUDENTS’ SPEAKING SKILL Episiasi, Episiasi; Ardayati, Ardayati; Novianti, Sinta
JURNAL SMART Vol 1, No 2 (2015)
Publisher : JURNAL SMART

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Abstract

Abstract The problem of this study was “Is it significantly effective to use pictures to improve students’ speaking skill to the sixth semester students of English Education Study Program at STKIP PGRI Lubuklinggau?”. This study was conducted to find out whether it is significantly effective to use pictures to improve students’ speaking skill. There were two hypotheses; null hypotheses (H0) and alternative hypotheses (Ha). The sample of the study was 23 students which were taken through cluster random sampling. Research method of this study was pre-experimental with one group pre-test and post-test design. The writer used speaking test and analyzed the data by using conversion of score range, individual score, and match t-test. Based on the result of data analysis, it was found out that students’ average score in the pre-test was 46.43 and post-test was 60.54. Finally, the results of matched t-test calculation shows that the t-obtain was higher than t-table. The t-obtained was 31.37 while the t-table was 1.717. It means that the null hypotheses (Ho) was rejected and automatically the alternative hypotheses (Ha) was accepted. It can be concluded that it is significantly effective to teach speaking skill by using pictures. Keywords: Effectiveness, Speaking, Picture
Pengaruh Komisaris Independen, Leverage, Dan Kepemilikan Institusional Terhadap Integritas Laporan Keuangan Novianti, Sinta; Isynuwardhana, Deannes
JPAK : Jurnal Pendidikan Akuntansi dan Keuangan Vol 9, No 1 (2021): JPAK : Jurnal Pendidikan Akuntansi dan Keuangan
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/jpak.v9i1.27003

Abstract

Several cases that occurred in several companies in Indonesia, such as manipulation of financial statements, showed that the integrity of the financial statements presented by the company was still low. To avoid manipulation, it requires concervative accounting practices. This study aims to determine how the influence of independent commissioner variables, leverage, and institutional ownership on the financial statements integrity. This study’s population are all mining sector companies listed on the Indonesia Stock Exchange in 2015-2018. The samples produced were 128 samples using purposive sampling. Data in this study were analyzed with descriptive statistical analysis and panel data regression using Software Eviews 9.0. This study indicates that independent commissioners, leverage, and institutional ownership simultaneously influence the integrity of financial statements. Partially, leverage has a significant positive effect on the integrity of financial statements. In contrast independent commissioners and institutional ownership have no significant effect on the integrity of financial statements
Implementasi Algoritma Rough Set Untuk Memprediksi Jumlah Pendaftar Siswa Baru Pada SMK Swasta Sinar Harapan Novianti, Sinta; Hasugian, Paska Marto
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/jtiust.v6i2.1433

Abstract

ABSTRACT Where the number of new student registrants at the Sinar Harapan Private Vocational School is unstable every year and the school has difficulty predicting how many new student registrants will be in the coming year and preparing extracurricular activities such as English/computer training or the best facilities for new students such as chairs, tables, classrooms and so on, as well as the competitiveness of private schools in the district. banyan. So we need a system that can dig up data and help predict the number of new student registrants, using data mining techniques, namely the Rough Set Algorithm which aims to get a short rule estimate from a table, in this study using student registration data in 2018, 2019, 2020. By applying data mining with the rough set algorithm and carrying out the rough set stages, it can produce decisions in the form of generating rules (knowledge), and the results of the calculation analysis are 152 students to predict the number of students in the coming year.
Implementasi Algoritma Rough Set Untuk Memprediksi Jumlah Pendaftar Siswa Baru Pada SMK Swasta Sinar Harapan Novianti, Sinta; Hasugian, Paska Marto
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (705.513 KB) | DOI: 10.54367/jtiust.v6i2.1433

Abstract

ABSTRACT Where the number of new student registrants at the Sinar Harapan Private Vocational School is unstable every year and the school has difficulty predicting how many new student registrants will be in the coming year and preparing extracurricular activities such as English/computer training or the best facilities for new students such as chairs, tables, classrooms and so on, as well as the competitiveness of private schools in the district. banyan. So we need a system that can dig up data and help predict the number of new student registrants, using data mining techniques, namely the Rough Set Algorithm which aims to get a short rule estimate from a table, in this study using student registration data in 2018, 2019, 2020. By applying data mining with the rough set algorithm and carrying out the rough set stages, it can produce decisions in the form of generating rules (knowledge), and the results of the calculation analysis are 152 students to predict the number of students in the coming year.
Co-Authors Ardayati Ardayati, Ardayati Deannes Isynuwardhana Episiasi Hasugian , Paska Marto