Metode Topsis Sebagai Rekomendasi Pemilihan Keterampilan Kewirausahaan Untuk SMA/MA Double Track

Azizi, Maula Izza (2024) Metode Topsis Sebagai Rekomendasi Pemilihan Keterampilan Kewirausahaan Untuk SMA/MA Double Track. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Penelitian berfokus pada metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) dalam pemilihan rekomendasi bidang keterampilan kewirausahaan dalam studi kasus SMA/MA Double Track. Metode TOPSIS dapat digunakan dalam pemilihan urutan berbagai alternatif berdasarkan kedekatan terhadap nilai solusi ideal optimal serta keputusan pembobotan kriteria – kriteria yang dapat mempengaruhi hasil perhitungan. Alternatif yang digunakan dalam penelitian diantaranya Multimedia, Teknik Elektro, Teknik Listrik, Tata Boga, Tata Busana, Tata Kecantikan, dan Teknik Kendaraan Ringan/Motor. Selain itu, kriteria yang mempengaruhi hasil pembobotan diantaranya minat siswa terhadap suatu bidang, fasilitas serta dukungan sekolah, jumlah lapangan pekerjaan, peluang wirausaha, dan gaji yang masing – masing memiliki rata – rata persentase pembobotan sebesar 37.38%, 28.36%, 17.72%, 4,74%, dan 11.80% terhadap 70 murid SMA Dharma Wanita Kota Surabaya sebagai sampel penelitian. Pembobotan dihasilkan dari perhitungan metode pembobotan combinative yaitu dihasilkan dari penilaian metode pembobotan subjektif dan objektif. Dalam penelitian perhitungan metode Analytic Hierarchy Process (AHP) untuk memberikan penilaian secara subjektif dengan membandingkan setiap kriteria berdasarkan kualitas dan perhitungan metode pembobotan entropi untuk memberikan penilaian secara objektif berdasarkan fakta yang dapat diterima dan diverifikasi. Hasil pengujian metode TOPSIS dengan metode pembobotan entropi memberikan persentase akurasi rata – rata sebesar 85.539%. Tentunya memiliki perhitungan yang lebih baik dari perhitungan metode AHP secara keseluruhan yaitu hanya memiliki persentase akurasi rata – rata sebesar 78.4521%

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This research focuses on the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method in recommending entrepreneurial skill areas in a case study of Double Track Senior High Schools. TOPSIS can be used to rank various alternatives based on their proximity to the optimal ideal solution, as well as decision weighting for criteria that can influence the calculation results. The alternatives used in this research include Multimedia, Electrical Engineering, Electronics Engineering, Culinary Arts, Fashion Design, Beauty, and Light Vehicle/Motorcycle Engineering. In addition, the criteria affecting the weighting results include students' interest in a field, school facilities and support, the number of job opportunities, entrepreneurial opportunities, and salary, which have average weighting percentages of 37.38%, 28.36%, 17.72%, 4.74%, and 11.80%, respectively, in a sample of 70 students from SMA Dharma Wanita Surabaya. The weighting is obtained from the calculation of the combinative weighting method, which is derived from the assessment of subjective and objective weighting methods. In this research, the Analytic Hierarchy Process (AHP) method is used to provide subjective assessment by comparing each criterion based on quality, and the entropy weighting method is used to provide objective assessment based on acceptable and verifiable facts. The results of testing the TOPSIS method with the entropy weighting method show an average accuracy percentage of 85.539%. This is significantly better than the overall calculation of the AHP method, which only has an average accuracy percentage of 78.4521%

Item Type:	Thesis (Other)
Uncontrolled Keywords:	Combinative, Subjektif, Objektif, TOPSIS, Double Track. Combinative, Subjective, Objective, TOPSIS, Double Track.
Subjects:	T Technology > T Technology (General) > T57.5 Data Processing T Technology > T Technology (General) > T57.74 Linear programming
Divisions:	Faculty of Information and Communication Technology > Informatics > 55201-(S1) Undergraduate Thesis
Depositing User:	Maula Izza Azizi
Date Deposited:	01 Aug 2024 15:15
Last Modified:	01 Aug 2024 15:15
URI:	http://repository.its.ac.id/id/eprint/111537

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