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All Journal Managere: Indonesian Journal of Educational Management Pendekar: Jurnal Pendidikan Berkarakter
Dita Fitria
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Arts Humanities Education Languange, Linguistic, Communication & Media Social Sciences

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PESANTREN POLICY MANAGEMENT IN STUDENT EMPOWERMENT FUNCTIONS Neng Lilis; Silvia Fitri; Lutfiani Azhar; Zulfa Nafisa; Dita Fitria
Managere: Indonesian Journal of Educational Management Vol. 3 No. 3 (2021): September-Desember
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (229.555 KB) | DOI: 10.52627/managere.v3i3.98

Abstract

The study will discuss boarding policies for implementing its function as an empowering institution. The research was intended to find out how pestuous boarding policies are particularly interesting and to see how high the policy is. The research method used is the library research method that is a data gathering technique by conducting the study of books, literature, notes, and various reports relating to boarding policies in apostate encouraged function. The next discussion is to analyze the policy's no. 18 year 2019 law on boarding schools, particularly the chapter chapter on empowerment functions with swot analysis techniques that will examine the strengths, weaknesses, opportunities, and threats of the policy. The policy on government support listed in act number 18 in 2019 of boarding schools chapter 46 has the strengths and weaknesses of each in the application of the santri empowerment function.
Kajian Metode Analytical Hierarchy Process (AHP) Dan Technique For Order Preference By Similarity To Ideal Solution (TOPSIS) Serta Penerapannya Dita Fitria; Mardiningsih Mardiningsih
Pendekar : Jurnal Pendidikan Berkarakter Vol. 2 No. 1 (2024): Februari : Jurnal Pendidikan Berkarakter
Publisher : LPPM Politeknik Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/pendekar.v2i1.578

Abstract

The Analytical Hierarchy Process (AHP) approach and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method are two methods that are commonly used to handle multicriteria problems. The AHP technique uses a matrix of pairwise comparisons and a hierarchical approach to criteria in order to obtain the final criteria weights. In contrast, the TOPSIS approach incorporates the concepts of proximity to the ideal solution and preference. Next, TOPSIS uses the previously established criterion weights to compute each option's relative closeness score to the ideal answer. In order to determine how effectively the AHP and TOPSIS methodologies complement one another, this study aims to assess the protocols and underlying assumptions of the two approaches. When decision makers are aware of the benefits and drawbacks of each approach, they may choose the best course of action from a mix of the two. The results of the study indicate that the process may be streamlined, subjectivity can be reduced, and criterion weights can be stabilized by combining the AHP and TOPSIS approaches.The Analytical Hierarchy Process (AHP) approach and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method are two methods that are commonly used to handle multicriteria problems. The AHP technique uses a matrix of pairwise comparisons and a hierarchical approach to criteria in order to obtain the final criteria weights. In contrast, the TOPSIS approach incorporates the concepts of proximity to the ideal solution and preference. Next, TOPSIS uses the previously established criterion weights to compute each option's relative closeness score to the ideal answer. In order to determine how effectively the AHP and TOPSIS methodologies complement one another, this study aims to assess the protocols and underlying assumptions of the two approaches. When decision makers are aware of the benefits and drawbacks of each approach, they may choose the best course of action from a mix of the two. The results of the study indicate that the process may be streamlined, subjectivity can be reduced, and criterion weights can be stabilized by combining the AHP and TOPSIS approaches.
Co-Authors Lutfiani Azhar Mardiningsih Mardiningsih Neng Lilis Silvia Fitri Zulfa Nafisa