2 research outputs found
IMPLEMENTASI ALGORITMA BACKPROPAGATION UNTUK MEMPREDIKSI KELULUSAN MAHASISWA
No full textStudent’s graduation is one kind of the college accreditation elements by BAN-PT. Because of that. Information System is one of the department in STMIK Banjarbaru, there is no application has been implemented to predict imprecisely of student’s graduation time so far, which causes on time graduation percentage tend low every year. Therefore the accurate student’s graduation prediction can help the committe to choose the correct decisions in order to prevent the imprecisely of student’s graduation time. In this research, the backpropagation algorithm of artificial neural network will be implemented into the application with the output result as delayed and on time graduation. This reseach is using 318 data samples which the 70 % of it will be used as the training data and the other 30 % will be used as testing data. From the calculation of confusion matrix table’s the percentage of the prediction accuracy is 98.97 %.Keywords: student’s graduation, artificial neural network, backpropagation, confusion matrixKelulusan mahasiswa merupakan salah satu elemen dalam standar akreditasi perguruan tinggi oleh BAN-PT. Sistem Informasi adalah salah satu program studi yang ada di STMIK Banjarbaru, selama ini belum ada aplikasi yang diimplementasikan untuk memprediksi ketidaktepatan waktu kelulusan mahasiswanya yang menyebabkan angka kelulusan tepat waktu cenderung rendah setiap tahunnya. Oleh sebab itu, prediksi kelulusan mahasiswa yang akurat dapat membantu pihak Program Studi dalam mengambil keputusan-keputusan yang tepat untuk mencegah ketidaktepatan waktu kelulusan mahasiswanya. Pada penelitian ini, artificial neural network algoritma backpropagation diimplementasikan pada aplikasi yang dibuat dengan output lulus terlambat dan lulus tepat waktu. Penelitian ini menggunakan sebanyak 318 sampel data yang mana 70 % data digunakan sebagai data training dan 30 % data digunakan sebagai data testing. Dari hasil perhitungan tabel confusion matrix diperoleh persentase akurasi prediksi sebesar 98.97 %.Kata kunci: kelulusan mahasiswa, artificial neural network, backpropagation, confusion matri
Reading of Al-Qur'an Verses In The "Dikia Rabano" Tradition
No full textThis research originated from the phenomenon of community religious traditions in the West Sumatra region, precisely in Jorong Halalang. The local community named it Dikia Rabano. In this tradition there is a series of Al-Qur'an verses that are read before starting the recitation of sholawat to the prophet. The formulation of the problem is how is the transformation of the recitation of the Qur'anic verses in the Dikia Rabano tradition? and how is the public perception of the Qur'anic verses in the Dikia Rabano tradition? This research is a field research (Field research) whose data collection techniques the author uses observation, interviews, and documentation. The primary data sources are traditional leaders, religious leaders, teachers and members of Dikia Rabano and the community in Jorong Halalang Nagari Kamang Mudiak. To analyze the data, the author uses data reduction steps, data analysis and finally conclusions. From the results of the study it can be concluded that the transformation of the recitation of the Qur'anic verses read in the Dikia Rabano tradition, that the practice of reading these verses has existed since the time of the Prophet which then continued in the generations after him. As for the public perception of the Qur'anic verses read in the Dikia Rabano tradition, including as protection to be given a smooth event, it is also understood as a means to ask for the blessing of reading shalawat to be conveyed to the Prophet Muhammad so as to get syafa'at from him in the afterlife, one form of khidmat to teachers and previous scholars by following their teachings, heart healers when read in tahlilan events and for expressions of gratitude when read in events related to thanksgiving and celebrations and as a form of worship to Allah SWT
