REKOMENDASI PEMETAAN KEAHLIAN SISWA TERHADAP SPESIFIKASI LOWONGAN KERJA PADA SISTEM BURSA KERJA KHUSUS (BKK) MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DI SMK
{"title":"REKOMENDASI PEMETAAN KEAHLIAN SISWA TERHADAP SPESIFIKASI LOWONGAN KERJA PADA SISTEM BURSA KERJA KHUSUS (BKK) MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DI SMK","authors":"Nanda Riski Septania, Hakkun Elmunsyah, Utomo Pujianto","doi":"10.17977/um039v4i22019p120","DOIUrl":null,"url":null,"abstract":"Abstrak Penelitian ini bertujuan untuk menghasilkan rekomendasi berupa daftar lowongan kerja sesuai dengan keahlian siswa. Model yang digunakan dalam penelitian dan pengembangan rekomendasi pemetaan keahlian siswa adalah waterfall. Teknik pengujian yang digunakan adalah pengujian secara black box, yakni digunakan untuk menguji dari fungsionalitas sistem. Produk divalidasi oleh dua orang ahli, yaitu ahli I dan ahli II. Hasil validasi yang dilakukan oleh ahli I dan ahli II masing-masing memperoleh presentase kelayakan 100%. Kemudian dari hasil uji coba produk diperoleh presentase kelayakan 97%. Hasil tersebut menunjukkan bahwa tingkat kelayakan produk sudah valid karena melebihi batas minimal 76% untuk kriteria valid, sehingga produk dapat dikatakan layak dan dapat digunakan. Abstract This study aims to produce recommendations in the form of a list of job vacancies in accordance with the expertise of students. The model used in research and development of student expertise mapping recommendations is the waterfall. The testing technique used is black box testing, which is used to test the system's functionality. The product was validated by two experts, namely Expert I and Expert II. The results of the validation carried out by expert I and expert II each received a 100% eligibility percentage. Then from the product trial results obtained a percentage of eligibility 97%. These results indicate that the level of product eligibility is valid because it exceeds the minimum limit of 76% for valid criteria, so the product can be said to be feasible and can be used.","PeriodicalId":160916,"journal":{"name":"Edcomtech Jurnal Kajian Teknologi Pendidikan","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Edcomtech Jurnal Kajian Teknologi Pendidikan","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17977/um039v4i22019p120","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Abstrak Penelitian ini bertujuan untuk menghasilkan rekomendasi berupa daftar lowongan kerja sesuai dengan keahlian siswa. Model yang digunakan dalam penelitian dan pengembangan rekomendasi pemetaan keahlian siswa adalah waterfall. Teknik pengujian yang digunakan adalah pengujian secara black box, yakni digunakan untuk menguji dari fungsionalitas sistem. Produk divalidasi oleh dua orang ahli, yaitu ahli I dan ahli II. Hasil validasi yang dilakukan oleh ahli I dan ahli II masing-masing memperoleh presentase kelayakan 100%. Kemudian dari hasil uji coba produk diperoleh presentase kelayakan 97%. Hasil tersebut menunjukkan bahwa tingkat kelayakan produk sudah valid karena melebihi batas minimal 76% untuk kriteria valid, sehingga produk dapat dikatakan layak dan dapat digunakan. Abstract This study aims to produce recommendations in the form of a list of job vacancies in accordance with the expertise of students. The model used in research and development of student expertise mapping recommendations is the waterfall. The testing technique used is black box testing, which is used to test the system's functionality. The product was validated by two experts, namely Expert I and Expert II. The results of the validation carried out by expert I and expert II each received a 100% eligibility percentage. Then from the product trial results obtained a percentage of eligibility 97%. These results indicate that the level of product eligibility is valid because it exceeds the minimum limit of 76% for valid criteria, so the product can be said to be feasible and can be used.