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All Journal JUTI: Jurnal Ilmiah Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer
Ardianto Wibowo
Jurusan Teknik Informatika Politeknik Caltex Riau
Computer Science & IT Dentistry Education Engineering Library & Information Science

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A MODEL AND IMPLEMENTATION OF ACADEMIC DATA INTEGRATION IN NEAR-REAL TIME USING MESSAGE-ORIENTED MIDDLEWARE TO SUPPORT ANALYSIS OF STUDENT PERFORMANCE IN THE INFORMATION TECHNOLOGY DEPARTMENT OF POLITEKNIK CALTEX RIAU Tjung, Yuni; Wibowo, Ardianto; Ridha, Muhammad Arif Fadhly
JUTI: Jurnal Ilmiah Teknologi Informasi Vol. 18, No. 1, January 2020
Publisher : Department of Informatics, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (926.04 KB) | DOI: 10.12962/j24068535.v18i1.a898

Abstract

Data utilization has effectively contributed for institutions growth by providing insights for managerial purposes. In Information Technology (IT) Department of Politeknik Caltex Riau, information systems were built separately, makes it hard for the head of study program to analyze academic performance. For analytical purposes, there’s a business intelligence developed to equip each head of study programs in IT Department with knowledge about their department. Unfortunately, the business intelligence hasn’t considered with data integration. To solve this problem, this research proposes 2 different academic near-real time data integration model that are documented using Enterprise Integration Pattern and benchmarkes the implementation to obtain best data integration model. The models use Message-Oriented Middleware, a technology that enables asynchronous communication between diverse applications. This research uses WSO2 ESB as the MOM tools in Service-Oriented Architecture (SOA) that use NuSOAP library for helping generating web service WSDL and will use Enterprise Application Integration approach. The testing is conducted based on ISO 9126 aspects: functionality, efficiency, and reliability. Based on the testing results, it can be concluded that both integration models fulfill the functionality and reliability aspects, but the 2nd pattern is more efficient because it distincts message channel and store for each dimension and fact table.
Ekstraksi Tabel HTML Bentuk Column-Row Wise ke dalam Basis Data Akbar, Memen; Wibowo, Ardianto
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 6: Desember 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2161.827 KB) | DOI: 10.25126/jtiik.201856905

Abstract

Pada halaman web, tabel adalah bagian penting dari masalah yang dijelaskan dalam sebuah artikel. Tabel yang terdapat pada halaman web berbeda dari tabel dalam basis data. Tabel di halaman web cenderung tidak memiliki aturan atau bentuk standar. Salah satu bentuk tabel yang tidak standar pada halaman web adalah column-row wise. Penelitian ini menawarkan pendekatan untuk mengekstraksi isi tabel sedemikian sehingga arti dari keterkaitan antara dua atribut dan data dalam tabel column-row wise tidak hilang. Data yang diekstrak disimpan ke dalam basis data yang membentuk tiga tabel, yaitu tabel yang menyimpan atribut pertama, tabel yang menyimpan atribut kedua, dan tabel yang menyimpan atribut pertama, kedua, dan data dari atribut pertama dan kedua. Penelitian ini menghasilkan sebuah algoritma untuk mengekstrak data dari tabel yang berbentuk column-row wise pada sebuah halaman web. Algoritma yang dihasilkan dari penelitian ini diharapkan dapat diimplementasikan dalam berbagai bahasa pemrograman. Untuk pengujian, algoritma telah diimplementasikan dengan Bahasa pemrograman Python dan berhasil melakukan ekstraksi tabel dan menyimpannya dalam basis data. Abstract Tables are an important part of a web page. The table contains tabulations of data or information that you want to convey from the web page. This data tabulation can be used for comparisons with similar tables or as a trigger for action. However, tables on web pages are independent of webpage makers. There is no standard form or layout for a table on a web page. One of the table layouts on a web page is column-row wise. This study offers an approach for extracting table contents such that the meaning of the linkage between two attributes and a data in the column-row wise table is not disappeared. The extracted data is stored into a database that forms three tables, ie the table that stores the first attribute, the table that stores the second attribute, and the table that stores the first, second, and second attributes of the two attributes. Output of this research is an algorithm to extract data of column-row wise table in a web page. The algorithm generated from this research is expected to be implemented in various programming languages. For testing, the algorithm is implemented in Python and success to extract table and save the data into database. Cyclomatic complexity number of the proposed algorithm is 12. This means that the complexity of the proposed algorithm is still high.
Co-Authors Akbar, Memen Muhammad Arif Fadhly Ridha Purwantoro, Sugeng Tjung, Yuni