A Rule Based SWOT Analysis Application: A Case Study for Indonesian Higher Education Institution

Abstract Learning the current condition of strength, weakness, opportunities, and threat (SWOT) can help a study program in a university in making a decision. For the middle term, it can also help in building strategic planning. However, conducting SWOT analysis is usually an expensive and time consuming activity. We have been doing a research to provide a software application that may facilitate study program stakeholders to conduct SWOT analysis more quickly and easily. The application is web-based providing question-answer system that allow users reveal facts and conditions of their study program. The system adopts assessment criteria of standard accreditation system for Indonesian higher education institution. The system implements sentiment analysis approach to help classification process in constructing SWOT matrix. The research shows that the application has a potential to help study program stakeholders to conduct SWOT analysis. The output of the application is considered reliable with approximately 80% of SWOT mapping is accepted by an expert.

[1]  Robert G. Dyson,et al.  Strategic development and SWOT analysis at the University of Warwick , 2004, Eur. J. Oper. Res..

[2]  Andrea Esuli,et al.  SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining , 2010, LREC.

[3]  Daniel E. O'Leary,et al.  Expert system verification and validation: a survey and tutorial , 1993, Artificial Intelligence Review.

[4]  Ayu Purwarianti,et al.  Sentiment classification for Indonesian message in social media , 2012, CLOUD 2012.

[5]  Mesut Özgürler,et al.  Analysis of the Turkish Consumer Electronics Firm using SWOT-AHP Method , 2012 .

[6]  Koen Vanhoof,et al.  A knowledge-based SWOT-analysis system as an instrument for strategic planning in small and medium sized enterprises , 1999, Decis. Support Syst..

[7]  K. Sackett,et al.  Incorporating healthcare informatics into the strategic planning process in nursing education. , 2005, Nursing leadership forum.

[8]  Adi Wahyu Pribadi,et al.  Automatic news articles classification in Indonesian language by using Naive Bayes Classifier method , 2009, iiWAS.

[9]  E. K. Valentin.  Swot Analysis from a Resource-Based View , 2001 .

[10]  Mirna Adriani,et al.  Sentiment Lexicon Generation for an Under-Resourced Language , 2014, Int. J. Comput. Linguistics Appl..

[11]  Ching Y. Suen,et al.  Verifying, validating, and measuring the performance of expert systems , 1990 .

[12]  Metin Dagdeviren,et al.  Using the analytic network process (ANP) in a SWOT analysis - A case study for a textile firm , 2007, Inf. Sci..

[13]  Freddy Rangkuti,et al.  Analisis Swot Teknik Membedah Kasus Bisnis , 2008 .

[14]  Mikko Kurttila,et al.  Utilizing the analytic hierarchy process (AHP) in SWOT analysis — a hybrid method and its application to a forest-certification case ☆ , 2000 .

[15]  Husni Thamrin,et al.  Using dictionary in a knowledge based algorithm for clustering short texts in Bahasa Indonesia , 2014, 2014 International Conference on Data and Software Engineering (ICODSE).

[16]  J. V. van Wijngaarden,et al.  Strategic analysis for health care organizations: the suitability of the SWOT-analysis. , 2012, The International journal of health planning and management.

[17]  Divi Galih Prasetyo Putri,et al.  An experimental study of lexicon-based sentiment analysis on Bahasa Indonesia , 2016, 2016 6th International Annual Engineering Seminar (InAES).

[18]  Lei Zhang,et al.  Sentiment Analysis and Opinion Mining , 2017, Encyclopedia of Machine Learning and Data Mining.