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EFEK MEDIASI INTERNET REPORTING OF STRATEGIC INFORMATION ATAS PENGARUH KOMISARIS INDEPENDEN DAN KOMITE AUDIT TERHADAP KINERJA KEUANGAN Fangohoi, Yosep; Sitorus, Tigor
Jurnal Manajemen Vol 15 No 2 (2018): Jurnal Manajemen
Publisher : Fakultas Ekonomi dan Bisnis Universitas Katolik Indonesia Atma Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (384.046 KB) | DOI: 10.25170/jm.v15i2.472

Abstract

In corporate governance, the role of independent commissioners and audit committees is very important in ensuring that all operational and strategic activities are going well because they greatly affect the financial performance of the entity. This study aims to empirically analyze the influence of independent commissioners and audit committees on financial performance and whether the existence of strategic information disclosure through the internet (IRSI) is able to mediate independent commissioners and audit committees on financial performance to be better or vice versa in banking companies. The population in this study are companies listed on the Indonesia Stock Exchange in 2014-2016. The data obtained is secondary data. Data analysis using WarpPLS 3.0 program with statistical models, which is Structural Equation Modeling Analysis (SEM). The results of the study indicate that independent commissioner variable has no significant effect on financial performance, but on the contrary the audit committee variable has a significant impact on financial performance. In addition, independent commissioner variable has no significant effect on the internet reporting of strategic information (IRSI), but audit committee variable has a significant effect on IRSI. The IRSI variable has a significant influence on financial performance. The conclusions of mediation show that IRSI was able to mediate the audit committee on financial performance but IRSI was unable to mediate independent commissioner variables on financial performance.
INFORMATION RETRIEVAL SYSTEM PADA FILE PENCARIAN DOKUMEN TESIS BERBASIS TEXT MENGGUNAKAN METODE VECTOR SPACE MODEL Fauzi, Ahmad; Ginabila, Ginabila
Jurnal Pilar Nusa Mandiri Vol 15 No 1 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (938.599 KB) | DOI: 10.33480/pilar.v15i1.61

Abstract

Speed and density in the process of finding documents and information has become mandatory, contained in information systems, to facilitate the search process or find documents and information needed, it is called information retrieval or information retrieval system, implementation of the theory applied in this study using the model method vector space, the purpose of this study is to provide general exposure to the process of finding digital documents. With the token and indexing process so that the results of the masses are found in the database using keywords, so the system will search according to the keywords input into the system, and will be compared with the data contained in the database, so that it can produce the correct information.
IMPLEMENTASI MODEL INFORMATION RETRIEVAL UNTUK PENCARIAN KONTEN PADA KUHP BERDASARKAN TINGKATAN HUKUMAN TERBERAT DI INDONESIA Permana, Rifky; Indrajit, Richardus Eko; Aryanti, Riska; Yanto, Andika Bayu Hasta
Jurnal Pilar Nusa Mandiri Vol 14 No 1 (2018): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1008.162 KB) | DOI: 10.33480/pilar.v14i1.95

Abstract

KUHP adalah kitab undang-undang hukum yang berlaku sebagai dasar hukum di Indonesia. KUHP selalu mengalami perubahan sesuai dengan dinamika perkembangan jaman. Banyaknya pasal di dalam KUHP cukup membuat kesulitan dalam pencarian data untuk menentukan pasal yang tepat bagi para pemangku kepentingan hukum pidana. Dengan menggunakan metoda information retrieval query wildcard dan pohon biner yang diterapkan di dalam program pencarian akan mempermudah mendapatkan informasi yang dibutuhkan, khususnya dalam hal pencarian pasal KUHP berdasarkan tingkat hukuman. Tulisan ini memperlihatkan model konseptual yang dipergunakan dalam mengembangkan prototipa program komputer berbasis information retrieval.
IMPLEMENTASI INFORMATION RETRIVALS UNTUK MENINGKATKAN PEMASARAN PRODUK Basri, Hasan; Indrajit, Richardius Eko
Jurnal Pilar Nusa Mandiri Vol 13 No 2 (2017): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septemb
Publisher : LPPM Universitas Nusa Mandiri

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Abstract

Brosur marketing adalah alat yang digunakan oleh seorang developer perumahan untuk menawarkan produknya. Namun kendala yang dihadapi pada saat ini brosur marketing tidak begitu efektif digunakan karena hasil pencapaian penjualan dari produk tidak memenuhi target. Hal tersebut dibuktikan dengan hasil observasi dibeberapa perumahan yang ada di kota karawang. Data yang didapat dari hasil observasi diklasifikasi dengan metode naïve bayes untuk melihat sejauh mana peluang yang didapatkan dari pemanfaatan brosur itu sendiri. Berdasarkan permasalahan itu maka perlu digunakan metode yang lain. information retrivals merupakan suatu mesin pencarian materil koleksi dalam jumlah besar yang tersimpan dalam komputer. Elemen penting yang mendasar dari sebuah system temu kembali informasi adalah inverted index yang dapat menyimpan informasi semua kata yang ada dalam sekumpulan dokumen yang digunakan untuk membangun sistem temu kembali informasi tersebut. metode yang digunakan dalam kesempatan ini adalah Vektor Space Model. Metode atau algoritma vector space model merupakan sebuah algoritma pencarian informasi dalam ruang lingkup dokumen yang berjumlah besar menggunakan ruang vector. Dengan metode Vektor Space Model ini diharapkan dapat membantu pencarian informasi secara cepat dan tepat dalam pemilihan perumahan.
TATA KELOLA TEKNOLOGI INDORMASI PADA SMK AVERUS MENGGUNAKAN FRAMEWORK CONTROL OBJECTIVES FOR INFORMATION AND RELATED TECHNOLOGY (COBIT) VERSI 4.0 Handayani, Rani Irma
Jurnal Pilar Nusa Mandiri Vol 8 No 2 (2012): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Septembe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1050.062 KB) | DOI: 10.33480/pilar.v8i2.485

Abstract

In education, advancement in information technology also contributed significantly. This study aims to provide an assessment of IT governance that already exists and provide an IT governance model proposed for Senior High School Averus Jakarta by referring to the standard COBIT (Control Objective for Information and Related Technology) Version 4.0. COBIT is one methodology that provides the basic framework in creating appropriate information technology with organizational needs while considering other factors that influence. Basically, COBIT was developed to help meet the diverse needs of management by bridging the information gap between business risks, control, and engineering problems. COBIT provides a practical step through the domain and framework that describes the IT activity in a structure and process that can be adjusted. This study uses four COBIT domain, namely Planning and Organisation (PO) and Acquisition and Implementation (AI) Control Objectives but used only 15 of the 34 processes only existing processes.
Pengaruh Asimetri Informasi, Beban Pajak Tangguhan dan Good Corporate Governance Terhadap Kualitas LabaThis study aims to determine and analyze the influence of information asymmetry, the deferred tax expense and good corporate governance on the quality o Berliana Revi Widjayanti
JURNAL EKOBIS DEWANTARA Vol 1 No 12 (2018): JURNAL EKOBIS DEWANTARA
Publisher : Program Studi Manajemen Fakultas Ekonomi UST

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Abstract

This study aims to determine and analyze the influence of information asymmetry, the deferred tax expense and good corporate governance on the quality of earnings in the manufacturing companies listed in Indonesia Stock Exchange period 2013 - 2017. The data analysis method used is multiple linear regression analysis. With purposive sampling method, acquired the 14 company from 142 manufacturing company in accordance with the criteria which will serve as the object of research. Based on the research, it is known that the asymmetry of information, the deferred tax expense and good corporate governance is simultaneously no effect on earnings quality in manufacturing companies listed in Indonesia Stock Exchange in the period 2013 - 2017. However, partial, institutional ownership and a significant positive effect on the earnings management, while the asymmetry of information, the deferred tax expense, institutional ownership and the proportion of independent board no effect on earnings quality in manufacturing companies listed in Indonesia Stock Exchange in the period from 2013 to 2017.
influence the quality of information, system quality. and quality of service to customer loyalty through the trust of lazada onliine store customers Novita Sari
JURNAL EKOBIS DEWANTARA Vol 1 No 1 (2018): JURNAL EKOBIS DEWANTARA
Publisher : Program Studi Manajemen Fakultas Ekonomi UST

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Abstract

This research is based on the progress of the times and the increasing of living standard of society. The purpose of this study is to describe the influence of Promotion, Price and Product Quality variables on the decision of purchasing Honda Motorcycles at Astra Motor Weleri. After the literature review, and the preparation of the hypothesis, the data were collected through questionnaires method distributed to 100 people to consumers at Astra Motor Weleri. Then performed an analysis with existing data using validity test, reliability, classical assumption test, and hypothesis testing using t test using SPSS 16.0 for windows. Based on the results of the analysis has been done that only the product quality variables that affect the Purchase Decision. While Promotion And Price variables have no effect on Purchase Decision.
PENGARUH INFORMATION QUALITY, SYSTEM QUALITY, DAN SERVICE QUALITY TERHADAP PERCEIVED FLOW (Studi Kasus Pada Pengguna Aplikasi Traveloka) Henry Oktaviana Saputra
JURNAL EKOBIS DEWANTARA Vol 1 No 12 (2018): JURNAL EKOBIS DEWANTARA
Publisher : Program Studi Manajemen Fakultas Ekonomi UST

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Abstract

Penelitian ini bertujuan untuk menguji Pengaruh Information Quality, System Quality, dan Service Quality terhadap Perceived Flow. Penelitian ini dilakukan pada 195 responden di Yogyakarta dengan responden para pengguna Aplikasi Traveloka yang melakukan setidaknya transaksi satu kali dalam enam bulan terakhir. Hasil penelitian ini menunjukkan: 1) information quality berpengaruh positif terhadap perceived flow, 2) system quality tidak berpengaruh positif terhadap perceived flow, 3) service quality berpengaruh positif terhadap perceived flow.
INTEGRASI TEKNIK SMOTE BAGGING DENGAN INFORMATION GAIN PADA NAIVE BAYES UNTUK PREDIKSI CACAT SOFTWARE Sukmawati Anggraeni Putri
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 2 No 2 (2017): JITK Issue February 2017
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1819.411 KB)

Abstract

The prediction accuracy of defects in code can help direct the test effort, reduce costs and improve software quality. Until now, many researchers have applied various types of algorithm based on machine learning and statistical methods to build predictive performance software defects. One of them uses a machine learning approach to the classification, which is a popular approach to predict software defects. While Naive Bayes one simple classification to have good performance that produces an average probability of 71 percent. As well as the time required in the process of learning faster than on any other machine learning. Additionally, it has a good reputation on the accuracy of the prediction. While NASA MDP is a very popular data used by previous researchers in the development of predictive models of software defects. Because it is common and freely used by researchers. However, these data have deficiencies, including the occurrence of imbalance class and attribute noise. Therefore by using SMOTE (Synthetic Minority Over-Sampling Technique) for sampling techniques and Bagging on the ensemble method, is used to deal with the class imbalance. As for dealing with noise attribute, in this research using information gain in the process of selecting the relevant attributes. So after the trial that the application of the model SMOTE Bagging and Information Gain proven to obtain good results to handled imbalance class and attribute noise at prediction software defects, and can increase the accuracy of the prediction results software defects.
PENERAPAN METODE K-NEAREST NEIGHBOR DAN INFORMATION GAIN PADA KLASIFIKASI KINERJA SISWA Tyas Setiyorini; Rizky Tri Asmono
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol 5 No 1 (2019): JITK Issue August 2019
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1249.697 KB) | DOI: 10.33480/jitk.v5i1.613

Abstract

Education is a very important problem in the development of a country. One way to reach the level of quality of education is to predict student academic performance. The method used is still using an ineffective way because evaluation is based solely on the educator's assessment of information on the progress of student learning. Information on the progress of student learning is not enough to form indicators in evaluating student performance and helping students and educators to make improvements in learning and teaching. K-Nearest Neighbor is an effective method for classifying student performance, but K-Nearest Neighbor has problems in terms of large vector dimensions. This study aims to predict the academic performance of students using the K-Nearest Neighbor algorithm with the Information Gain feature selection method to reduce vector dimensions. Several experiments were conducted to obtain an optimal architecture and produce accurate classifications. The results of 10 experiments with k values ​​(1 to 10) in the student performance dataset with the K-Nearest Neighbor method showed the largest average accuracy of 74.068 while the K-Nearest Neighbor and Information Gain methods obtained the highest average accuracy of 76.553. From the results of these tests it can be concluded that Information Gain can reduce vector dimensions, so that the application of K-Nearest Neighbor and Information Gain can improve the accuracy of the classification of student performance better than using the K-Nearest Neighbor method.

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