Sistem Rekomendasi Berbasis Website Untuk Pemilihan Keterampilan Program SMA/MA Double Track dengan Metode AHP

Bughowi, Mohamad Kholid (2024) Sistem Rekomendasi Berbasis Website Untuk Pemilihan Keterampilan Program SMA/MA Double Track dengan Metode AHP. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Program double track dirancang untuk mempersiapkan siswa SMA/MA dalam bekerja atau berwirausaha secara mandiri melalui pelatihan keterampilan. Program ini bertujuan mengurangi tingkat pengangguran di Provinsi Jawa Timur setelah siswa lulus SMA/MA. Terdapat tujuh bidang keterampilan yang ditawarkan, yaitu multimedia, tata boga, tata busana, tata kecantikan, teknik elektro, teknik listrik, dan teknik kendaraan ringan. Siswa bebas memilih satu bidang keterampilan untuk diikuti selama satu tahun. Namun, jika bidang keterampilan yang dipilih tidak sesuai dengan harapan siswa, mereka dapat menghadapi masalah seperti pemborosan waktu dan tenaga, hasil yang tidak memuaskan, serta frustrasi atau kekecewaan. Untuk mengatasi masalah ini, dikembangkan sistem rekomendasi berbasis web yang memberikan rekomendasi bidang keterampilan kepada siswa berdasarkan kriteria jumlah lapangan pekerjaan, gaji, minat, dukungan fasilitas, dan peluang wirausaha. Sistem ini menggunakan metode Analytic Hierarchy Process (AHP) untuk membantu siswa dalam mengambil keputusan yang tepat sesuai dengan preferensi mereka. Implementasi sistem dilakukan dalam bentuk situs web yang dibangun menggunakan bahasa pemrograman TypeScript untuk frontend dan Go untuk backend. Kerangka kerja Next.js digunakan untuk mempermudah proses pengembangan frontend, sementara data disimpan dalam basis data PostgreSQL. Pengujian dilakukan terhadap 77 siswa kelas XI yang sedang mengikuti program double track di SMA Dharma Wanita Surabaya. Hasil pengujian menunjukkan bahwa rekomendasi bidang keterampilan tiga teratas memiliki rata-rata akurasi sebesar 77,3036%. Untuk rekomendasi bidang keterampilan lima teratas, rata-rata akurasinya adalah 77,5510%. Secara keseluruhan, rata-rata akurasi rekomendasi yang dihasilkan oleh metode AHP adalah 78,4521%.
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The Double Track program is designed to prepare high school students (SMA/MA) for employment or independent entrepreneurship through skills training. This program aims to reduce the unemployment rate in East Java Province after students graduate from high school. Seven skill areas are offered, namely multimedia, culinary arts, fashion design, cosmetology, electrical engineering, electrical installation, and automotive engineering. Students are free to choose one skill area to pursue for one year. However, if the chosen skill area does not meet the students' expectations, they may face issues such as wasted time and effort, unsatisfactory results, frustration, or disappointment. To address these issues, a web-based recommendation system has been developed to provide students with skill area recommendations based on criteria such as job opportunities, salary, interest, facility support, and entrepreneurial prospects. This system uses the Analytic Hierarchy Process (AHP) method to help students make the right decisions according to their preferences. The system is implemented in the form of a website built using TypeScript for the frontend and Go for the backend. The Next.js framework is used to facilitate the frontend development process, while data is stored in a PostgreSQL database. Testing was conducted on 77 eleventh-grade students participating in the double track program at SMA Dharma Wanita Surabaya. The test results showed that the top three recommended skill fields had an average accuracy of 77.3036%. For the top five recommended skill fields, the average accuracy was 77.5510%. Overall, the average accuracy of the recommendations generated by the AHP method was 78.4521%.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	AHP, Double Track, Sistem Rekomendasi
Subjects:	T Technology > T Technology (General) > T58.62 Decision support systems
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Informatics Engineering > 55201-(S1) Undergraduate Thesis
Depositing User:	Mohamad Kholid Bughowi
Date Deposited:	31 Jul 2024 02:08
Last Modified:	31 Jul 2024 02:08
URI:	http://repository.its.ac.id/id/eprint/109367

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