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Sistem Informasi Tracer Study Alumni dengan Menggunakan Metode House of Quality (Studi Kasus: Jurusan Teknik Industri Fakultas Teknik Unika Atma Jaya)
Bibliografi
Author:
YUHANES, INDRA
;
Triyanti, Vivi
(Advisor)
Topik:
Tracer Study
;
House of Quality
;
Sistem Informasi
;
Information System
Bahasa:
(ID )
Penerbit:
FT Industri Unika Atma Jaya, Jakarta
Tempat Terbit:
Jakarta
Tahun Terbit:
2012
Jenis:
Theses - Undergraduate Thesis
Abstract
Tracer study is one of the efforts that can be made by a University to conduct evaluation and development planning will be undertaken. However, the tracer study a lot to do things to note. The main obstacle in the research study is the scarcity of tracer response from alumni who is the lead actress in the success of the tracer study conducted. Therefore, researchers are interested in designing information systems tracer study. Tracer study information systems created with the purpose to facilitate the process of data collection and recapitulation the usual process was done manually. In addition researchers try to apply methods of House of Quality in the processing of the data. Method of House of Quality used because in this research parameters used with logic that exists in the method of House of Quality. Parameters are used in data processing consists of the needs, the learning process, the relationship between needs with the learning process as well as the value of the interest and value of satisfaction. After the system information is created, then conducted tests, trial results suggested that respondents are satisfied with the information system have been made and according to respondents tracer study information systems can be operated with ease. Later researchers conducted the data collection against a number of 92 alumni who become samples. From the data collected, the system performs data processing information directly, and the end result is generated by the system is a process of learning that most urgently to be improved or developed. The result of the analysis done by four of the most critical learning process based on the value of the column at the highest weight.
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