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Marcus Nurtiantara Aji
Universitas Gadjah Mada
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Engineering

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Rancang Bangun Sistem Pendukung Keputusan Pemilihan Mahasiswa Berprestasi Menggunakan Metode AHP dan Promethee Julianto Lemantara; Noor Akhmad Setiawan; Marcus Nurtiantara Aji
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 2 No 1: Februari 2013
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1184.926 KB)

Abstract

Student affair often has difficulty in determining students that are sent to event because many outstanding students at institution. So far, the sending of students is still intuitive and subjective. Therefore, this research aims to design and build a decision support system that can provide advice to determine the best student that will be sent to the event. In this research, the method of decision support system that is used is combination of AHP and Promethee. In implementation, AHP is executed to get criteria weight. After that, Promethee is executed to determine the order of candidates priority. The purpose of combination is to increase the quality of advice about the selection of students. The result of research shows that with decision support system that is built, student affair can choose the students that are sent to event more quickly, accurately, and objectively.
Perancangan Data Warehouse Sistem Informasi Eksekutif untuk Data Akademik Program Studi Eko Prasetyo; Lukito Edi Nugroho; Marcus Nurtiantara Aji
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 1 No 3: Agustus 2012
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

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Abstract

This research examines the design of data warehouse that are the result of data integration and abstraction from various academic applications that accommodate the needs of history and archiving data to support executive information systems in the academic field. Identification of the executive reports use reference of the program accreditation forms, internal academic quality audit questionnaires, Dean’s annual reports, self-evaluation forms of Competitive Grant Program, features of the existing EIS, and features of executive data on the university academic administration website. The subject of this research is student data based on chronological stages starting from candidates selection process, new students, and students during lectures. The success of data warehouse design is determined by the right description of the business events, data completeness and validity, data mart design using metrics bus architecture, star schema design and ETL process to integrate, extract, cleanse, transform and load it into the data warehouse.
Co-Authors Eko Prasetyo Julianto Lemantara Lukito Edi Nugroho Noor Akhmad Setiawan