Putri Purnamasari
Program Studi Farmasi Universitas Ahmad Dahlan Yogyakarta

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Kompetensi Kewirausahaan dan Motivasi Kewirausahaan dalam Meningkatkan Kinerja Usaha Purnamasari, Putri; Mulyadi, Hari; Tarmedi, Eded
Journal of Business Management Education (JBME) Vol 4, No 2 (2019)
Publisher : Business Education Program of Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (306.899 KB) | DOI: 10.17509/jbme.v4i2.17316

Abstract

The purpose of the research is to find out the influence of entrepreneurship competence on business performance, the influence of entrepreneurshp motivation on business performance, and the influence of entrepreneurship competence and entrepreneurshp motivation on business performance. The object becomes the unit of analysis in this research is the Saung Angklung Udjo craftsman. The type of study is using verificative with the method is using an explanatory survey of 30 respondents. The results of this research found that the description of entrepreneurial competence in the high category, the description of entrepreneurial motivation in the strong category, description of business performance in the medium category. Based on the results of this study, it is suggested that entrepreneurial competence be improved, namely the dimensions of competence in managing business that need to be improved and deepened so that the performance of angklung craftsmen increases and can create higher business opportunities. In entrepreneurial motivation, Saung Angklung Udjo craftsmen in Bandung need to be improved in the need for affiliation, where craftsmen must be able to communicate better with coworkers and consumers.
INDENTIFIKASI IRITASI KULIT MANUSIA MENGGUNAKAN METODE JARINGAN SARAF TIRUAN LEARNING VECTOR QUANTIZATION Fadlil, Abdul; Setianto, Arif Budi; Purnamasari, Putri
Proceedings of KNASTIK 2010
Publisher : Duta Wacana Christian University

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Abstract

Jaringan saraf telah berhasil dipakai dalam bidang klasifikasi pola. Makalah ini menyajikan suatu metode baru untuk mengidentifikasi Iritasi kuit manusia. Metodologi yang diusulkan menggunakan jaringan saraf learning vector quantization sebagai pengklasifikasi untuk pengidentifikasi kulit manusia. Normalisasi histogram dari citra kulit digunakan sebagai vektor ekstraksi ciri untuk membedakan antara pola non iritasi dan pola iritasi. Sistem identifikasi ini dilatih menggunakan sekumpulan data citra kulit non-iritasi dan iritasi masing-masing 10 citra. Selanjutnya diuji dengan data citra kulit non-iritasi dan iritasi masing-masing 12 citra. Hasil-hasil percobaan kami menunjukkan bahwa unjuk kerja sistem cukup akurat yaitu 83,3%.