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All Journal Phinisi Integration Review Journal of Embedded Systems, Security and Intelligent Systems
Wulan Purnamasari
Universitas Negeri Makassar
Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences Other

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Pengaruh Lingkungan Keluarga Dan Proses Pembeljaran Kewirausahaan Terhadap Minat Berwirausaha Mahasiswa Wulan Purnamasari; A. Amiruddin Tawe; Herman Herman
Phinisi Integration Review Volume 5 Nomor 1 Tahun 2022
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/pir.v5i1.31804

Abstract

Education is one of the essential things in life. In simple terms, education is a means that can free someone from ignorance, such as poverty, bondage, being easily deceived, narrow mindset, and so on. The National Education System states that national education aims to develop students’ potential to become human beings who believe and are pious. Interest in entrepreneurship can be seen from the willingness to work hard and diligently to achieve business progress, the willingness to bear various risks related to the business actions he does, the willingness to take new paths and ways, the willingness to live frugally, the willingness to experience. Based on this, the study aims to discover 1) the influence of the family environment on the entrepreneurial interest of economic education students at the Faculty of Economics in the State University of Makassar, 2) the influence of the entrepreneurship learning process on the entrepreneurial interest of economic education students at the Faculty of Economics in State University of Makassar, 3) the influence of the family environment and entrepreneurship learning process on the entrepreneurial interest of economic education students at the Faculty of Economics in State University of Makassar. The research method employed a survey research type with a quantitative approach. The study results indicate that there is an influence of the family environment on entrepreneurial interest. The test result shows that the count is greater than the ttable. There is an influence of the entrepreneurship learning process on entrepreneurial interest. The test result indicates that the account is greater than the ttable. The family environment and entrepreneurship learning process collectively influence entrepreneurial interest. The test result shows that the Account is greater than the Ftable. Therefore, the research hypothesis is accepted.
Penerapan Machine Learning Pada Mikrokontroler Arduino Mega PRO MINI ATmega2560-16AU Wahyudi; Wulan Purnamasari; Akmal Hidayat; M. Miftach Fakhri
Journal of Embedded Systems, Security and Intelligent Systems Vol. 3 No. 1 (2022): Vol 3, No 1 (2022): May 2022
Publisher : Program Studi Teknik Komputer

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Abstract

Perkembangan Teknologi Informasi dan Komunikasi (TIK) telah mempengaruhi semua aspek yang ada, seperti aspek ekonomi, budaya, politik, sosial, pertahanan keamanan, pekerjaan rumah tangga bahkan dunia pendidikan sekalipun. Perkembangan tersebut banyak berkembang di era industri 4.0 saat ini mulai dari Internet of Things (IoT), Big Data, Argumented Reality, Cyber Security, Artifical Intelegence, Addictive Manufacturing, Simulation, System Integeration dan Cloud Computing. Salah satu perkembangan teknologi yang sangat berkembang saat ini yaitu machine learning atau pembelajaran mesin. Pada penelitian ini berfokus pada metode algoritma K-NN dan sensor warna TCS3200. Pada penelitian yang dilakukan oleh penulis ini menggunaka sensor warna TCS3200 dan Arduino mega 2560 pro mini sebagai perangkat keras yang digunakan. Penelitian ini bertujuan mendeskripsikan penerapan machine learning pada mikrokontroler arduino mega pro mini ATmega2560. Penelitian ini menggunakan metode studi pustaka atau library research dengan berbagai teknik pengumpulan data, selanjutnya melakukan pengujian untuk mengetahui kinerja sistem. Setelah dilakukan pengujian dilakukan analisa untuk mendapatkan kesimpulan akhir dari proses penelitian. setelah dilakukan pengujian sebanyak 20 kali dengan menempelkan pada objek, sistem ini bisa menginisialisasi warna dengan tepat. Dari hasil pengujian algoritma KNN dihasilkan akurasi tertinggi terdapat pada K=5, dimana nilai akurasi yang didapatkan adalah 80%. Sedangkan akurasi terendah terdapat pada k=9, dimana nilai akurasi yang didapatkan hanya 10%.
Co-Authors A. Amiruddin Tawe Akmal Hidayat M. Miftach Fakhri SATRIYAS ILYAS Wahyudi