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Analisis Faktor-Faktor yang Memengaruhi Perilaku Pengguna Google Apps for Education Menggunakan Information Boundary Theory (IBT) dan Technology Acceptance Model (TAM) (Studi Pada Universitas XYZ) Harin Puspa Ayu Catherina; Ari Kusyanti; Retno Indah Rokhmawati
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Google Apps for Education is a suite of apps with real time synergies and collaborations between students, faculty and staff on campus accessible using PC computers, notebooks, tablets and even smartphones. To be able to be enjoy a range of services from Google Apps For Education, a user is required to have a Google Apps For Education account. In the process of registration of a new Google account, a user will always be asked some data related to the user's identity. As a big company that highly values the privacy of users, Google Apps For Education includes a privacy policy that contains about how Google uses data that has been shared by its user and the reason why Google Apps For Education needs to ask some users' private data. The object of this study is to analyze the behavior of users regarding Google Apps For Education. Data collected from users of Google Apps for Education services by 300 respondents. SEM is used as data analysis method with 10 construct variables. The results of this study indicate that the factors that affect the user's intention to use Google Apps for Education is Perceived Usefulness and Perceived Ease of Use.
Sentiment Analysis Peringkasan Review Film Menggunakan Metode Information Gain dan K-Nearest Neighbor Ria Ine Pristiyanti; Mochammad Ali Fauzi; Lailil Muflikhah
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 3 (2018): Maret 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

The film reviews contain an opinion from a reviewer to describe a movie. Assessment of the content from the film review can be called by sentiment analysis. Sentiment analysis on movie review is divided into 2 parts, which are positive review and negative review. Grouping of sentiment analysis results can be simplified by the k-nearest neighbor classification method where this method will look for documents that have similarity between one to another document. In general, the movie review data contains very long content required by feature selection or pruning feature to reduce dimensions during classification process. In this case, the method of information gain is used to reduce many features during the classification process. This method will predict the presence or absence of term in a document so the term that frequently appear has low information gain value, however for the term that rarely appear or only appear in one category has high information gain value. The term with high information gain value will be able to be used for classification process. The result for using all of term for classification is 92% accuracy where the accuracy value is better than the feature selection due to the elimination of term having low information gain value.
Seleksi Fitur Information Gain untuk Klasifikasi Penyakit Jantung Menggunakan Kombinasi Metode K-Nearest Neighbor dan Naive Bayes Syafitri Hidayatul Annur Aini; Yuita Arum Sari; Achmad Arwan
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 9 (2018): September 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Heart disease is one of the non contagious diseases that can lead to death. This disease occurs because of the narrowing of blood vessels that cause impairment of heart function. The death rate that caused by a heart disease is continuing increase and according by the Ministry of Health of the Republic of Indonesia research, in 2030 it reach 23.3 million peoples. It should be anticipated because the number of cardiologists in Indonesia is still very minimal. This research proposes framework Information Gain selection features with combination K-Nearest Neighbor and Naive Bayes to overcome the problems on the effectiveness and accuracy in classification heart disease. Information Gain algorithm used for reduce variable dimention to get relevant variables. After Information Gain selection features process is completed, the next process is classify numeric atributes with KNN and categorical atributes with Naive Bayes. The results of this research indicate an accuracy of 92.31% when the class distribution testing is balanced using 6 features with value of K=25 and when the class distribution testing is not balanced using 4 features with value of K=35. Based on these results, can be concluded that features selection Information Gain with combination KNN and Naive Bayes algorithm can be used for classifying heart disease.
Penerapan Analisis Sentimen untuk Menilai Suatu Produk pada Twitter Berbahasa Indonesia dengan Metode Naive Bayes Classifier dan Information Gain Ahmad Wildan Attabi'; Lailil Muflikhah; Mochammad Ali Fauzi
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 2 No 11 (2018): November 2018
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

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Abstract

Twitter has a major role in the development of social, communication, psychological, marketing and political aspects. Posts Tweet comments or review indirectly will be a review of the assessment on a product. One of the most sought after products sectors today is beauty and skin care products. They look for products that they share with others, so they have a picture that affects their interest on the opinions of others who delivered via Twitter related results after using the product. Sentiment analysis can help in analyzing and classifying into positive and negative terms of twitter-related opinions about product trends and product quality in the public view. Opinions and comments related to Mustika Ratu's products are the subject of this study, citing the economic growth and the large number of users of Musitka Ratu who are companies in the field of beauty skin and beauty care. The Naive Bayes Classifier method is selected for implementation use, and has a fast performance in training, while the addition of Information is required for the feature selection process by reducing the presence of irrelevant words in the data used. The test is performed with 200 data (100 positive documents, and 100 negative documents) using the thresholds : 0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, dan 0.10. The results obtained are adjusted for a difference of 4%, the highest average value if no Information Gain (threshold 0) is 70%, while using Information Gain (threshold 0.01) equal to 74%. This is influenced by several factors such as the amount of data and data that spread from data data and documents. The highest accuracy value is obtained at K1 (threshold 0,02), then K5, K6 (threshold 0.01), and K7 (threshold 0,02 and 0,08) with percentage 85%, while at k with threshold at the lowest point 50%.
KEMAMPUAN LITERASI INFORMASI PEMUSTAKA BERDASARKAN INFORMATION LITERACY STANDARS FOR STUDENT LEARNING Iga Dwi Rahmala; Heri Suwignyo; Taufiq Kurniawan
BIBLIOTIKA : Jurnal Kajian Perpustakaan dan Informasi Vol 2, No 1 (2018)
Publisher : Jurusan Sastra Indonesia, Fakultas Sastra, Universitas Negeri Malang (UM)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (127.254 KB) | DOI: 10.17977/um008v2i12018p006

Abstract

Penelitian ini bertujuan untuk mendeskripsikan tingkat kemampuan literasi informasi pemustaka berdasarkan standar literasi informasi siswa dalam pembelajaran. Metode penelitian yang digunakan adalah jenis penelitian deskriptif dengan pendekatan kuantitatif. Hasil penelitian menunjukan bahwa kemampuan literasi informasi pemustaka di perpustakaan SMK Negeri 4 Malang berdasarkan tiga kategori yang diuraikan dalam 16 sub indikator dari standar literasi informasi siswa dalam pembelajaran menunjukan kecenderungan memiliki nilai rata-rata baik yaitu sejumlah 3,56.
Computer Base Information System Pada Sistem Informasi Akuntansi (Studi Kasus: Toko Canting Madura) Normah Normah
INFORMATICS FOR EDUCATORS AND PROFESSIONAL : Journal of Informatics Vol 1 No 2 (2017): INFORMATICS FOR EDUCATORS AND PROFESSIONAL : JOURNAL OF INFORMATICS (Juni 2017)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat Universitas Bina Insani

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Abstract

Abstrak: Akuntansi memegang peranan penting dalam dunia bisnis, Toko Canting Madura masih awam dalam penggunaan teknologi informasi dalam bidang akuntansi. Pengelolaan datakeuangan secara manual baik menggunakan buku catatan dan hanya mengandalkan arsipataupun menggunakan pembuatan manual melalui Microsoft Office baik Microsoft excelataupun Microsoft access, menimbulkan banyak resiko, diantaranya pada saat penginputantransaksi bisa saja ada yang terlewat, berkas catatan hilang, kesalahan dalam perhitungan,manipulasi data, kerangkapan data, kesulitan dalam pencarian data dalam arsip, hingga pembuatan laporan pun masih harus dibuat sendiri secara manual, dan kemungkinanmenyebabkan keterlambatan pelaporan. Hal tersebut bukan hanya membutuhkan waktu yangrelatif lama, namun juga dapat menimbulkan kerugian besar bagi perusahaan, dan berpengaruhpula kepada kepercayaan konsumen serta yang paling penting adalah investor. Terlebih lagidalam pengolahan data akuntansi langkah yang dilakukan tidak sedikit, dan berkesinambungan(salah input 1 data maka berakibat ke semua data lainnya akan ikut salah) sampai denganmenghasilkan laporan keuangan. Penerapan CBIS pada Sistem Informasi Akuntansi denganmenggunakan aplikasi akuntansi sebagai studi kasus yaitu Zahir Accounting, dapatmemudahkan segala hal dalam pengelolaan data bisnis & keuangan, mempersingkat waktupengelolaan, pencarian data yang mudah, dapat digunakan oleh multi user dengan keamananyang tinggi serta mendeteksi adanya manipulasi data dan laporan pun menjadi tersedia kapansaja. Sehingga kebutuhan akan informasi bisnis & keuangan pun terpenuhi tepat padakapanpun waktu yang diinginkan.Kata kunci: Computer Base Information System, Sistem Informasi Akuntansi, Zahir Accounting.Abstract: Accounting play an important role in the business world, stores Canting Madura stilllay in the use of information technology in the field of accounting. The management of financialdata manually using either Notepad and just rely on the archive or use the manual creationthrough Microsoft Office either Microsoft excel or Microsoft access, leading to many risks,including at the time of the transaction could have been penginputan there is a stone unturned,the missing log, errors in calculation, data manipulation, redudancy, difficulty in the search forthe data in the archive, until the making of the report still must be made manually , and it is likelyto cause delays in reporting. It not only takes a relatively long time, but can also cause hugelosses for the company, and also to the influential consumer confidence and investor. Moreover, accounting data in the processing steps that are performed are not few, and continuous (wrong input data 1 then the result to all other data will come into wrong) to produce financialstatements. The application of Accounting Information systems CBIS using accountingapplication as a case study, namely Zahir Accounting, can facilitate everything in data management business financial & shorten the time management, search data, can be used bymulti user with high security and detect any manipulation of data and reports being availableanytime. So the need for business information any unfulfilled financial & right at any time to thedesired time.Keywords: Computer Base Information System, Accounting Information System, Zahir Accounting.
KLASIFIKASI FITUR DALAM DOKUMEN REVIEW PRODUK DENGAN METODE LOCAL POINTWISE MUTUAL INFORMATION Azhar, Yufis
Network Engineering Research Operation [NERO] Vol 2, No 1 (2015): Nero
Publisher : Universitas Trunojoyo Madura

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Abstract

Ekstraksi fitur produk dalam suatu dokumen review merupakan permasalahan yang telah menarik perhatian banyak peneliti untuk memecahkannya. Permasalahan utama pada topik ini adalah bagaimana mengekstrak fitur yang relevan. Salah satu cara yang umumnya dilakukan adalah dengan mengkategorikan fitur-fitur yang telah terekstrak ke dalam kelas-kelas tertentu. Akan tetapi metode klasifikasi yang digunakan biasanya memiliki akurasi cukup rendah, hal ini dikarenakan sifat dokumen opini yang sangat bergantung pada domain yang sedang dibicarakan, Sehingga metode klasifikasi yang digunakanpun harus mampu beradaptasi dengan sifat tersebut. Dalam penelitian ini diusulkan suatu metode Local Pointwise Mutual Information (LPMI) yang merupakan modifikasi dari teknik PMI yang selama ini digunakan. Letak perbedaan utamanya adalah pada area pencarian PMI yang bersifat local (hanya di dataset) sehingga tidak keluar dari domain yang sedang dibicarakan oleh pemberi opini. Hasil pengujian menunjukkan bahwa teknik ini memiliki nilai precision dan recall yang baik dengan rata-rata di atas 80%.Kata Kunci: feature-based opinion mining, ekstraksi fitur, klasifikasi fitur, pointwise mutual information.
Clothing Sales Information System Web-Based: “Bluelight Distro” Nina Rahayu; Fauziyyah Husna Nurdiayanah Lestari; Ulfa Tiana Aprilyani
VOLT : Jurnal Ilmiah Pendidikan Teknik Elektro Vol 2, No 1 (2017): April 2017
Publisher : Department of Electrical Engineering Education, Faculty of Teacher Training and Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (691.779 KB) | DOI: 10.30870/volt.v2i1.1277

Abstract

Aplikasi penjualan berbasis website merupakan sebuah aplikasi yang kinerjanya dilakukan secara online. Kegiatan bisnis dapat dilakukan kapan saja dan dimana saja serta dapat memudahkan calon pelanggan. Tujuan pembuatan website ini adalah untuk menyediakan aplikasi penjualan pakaian yang terhubung langsung ke website secara lengkap dengan informasi yang mencakup distro beserta harga dan tata cara pemesanan sehingga memudahkan calon pelanggan dalam mencari pakaian tertentu. Transaksi bisnis yang dilakukan secara online tersebut harus memberikan kemudahan kepada calon pelanggan dalam mengaksesnya. Metode yang digunakan dalam pembuatan website penjualan ini adalah metode RUP (Rational Unified Process) dengan menggunakan bahasa pemrograman MySQL dan PHP (Hypertext Preprocessor) dan penggunaan aplikasi adobe dreamweaver CS6 dalam membuat desain website.
THE EFFECT OF CLARITY OF INFORMATION AND COMFORT OF WAITING ROOM ON SATISFACTION WITH DRUG SERVICE THROUGH PERCEPTION OF WAITING TIME Fadhilah, Anita; Azzuhri, Misbahuddin; Andarini, Sri
Jurnal Aplikasi Manajemen Vol. 16 No. 2 (2018)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (172.402 KB) | DOI: 10.21776/ub.jam.2018.016.02.03

Abstract

This study was aimed to examine the influence of clarity of waiting time information and the comfort of waiting room towardssatisfaction through waiting time perception of drug services. Chosen observational analytical study by cross-sectional study was used as methods in this study. Sampling technique used in this study was purposive sampling. 120 respondents were chosen as study sample among all of the outpatients out of pocket which waiting for drug services on March - April 2017. Path analysis was used as data analysis method. Study result showed that clarity of waiting time information and the comfort of waiting room had a positive and significant influence on waiting time perception and satisfaction awaiting drug services. As of intervening variable, waiting time perception was contributed increasing influence clarity of waiting time information and the comfort of waiting room towardssatisfaction with drug services. The most predominant variable in constructing satisfaction with drug servicesthrough waiting time perception was the comfort of the waiting room.
The influence of Voluntary Disclosure, Asymmetri Information, Stock Risk, Firm Size and Institutional Ownership Towards Cost of Capital (COC) Fahdiansyah, Restu
Jurnal Aplikasi Manajemen Vol. 14 No. 2 (2016)
Publisher : Universitas Brawijaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (220.906 KB) | DOI: 10.18202/jam23026332.14.2.20

Abstract

Abstract: This study aims to determine the influence of the information toward the decisions taken by investors based on the theory of Efficient Markets Hypothesis (EMH), which is expressed by Fama (1970),by examining the influence of several independent variables towards the cost of capital (COC). Independent variables were used to reflect information, including voluntary disclosure, information asymmetry, risk stock, firm size and institutional ownership. This study used purposive sampling technique in conducting sample of the 131 manufacturing companies listed on the Indonesia Stock Exchange in 2011, which produced 75 research samples. This study used the linear regression to analyze the data. The results of this study indicate that there is an influence of the informationtoward the decision making of investors, which is seen from the simultaneous test results that show all variables simultaneously influencing the COC. The results also indicate that voluntary disclosure variables, the risk of the stock, and the firm size are partially influencing the COC, whereas the information asymmetry variables and institutional ownership are partially show no influence on the COC.

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