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Suwitno Suwitno
Universitas Buddhi Dharma

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Journal : Tech-E

Perancangan Aplikasi Prediksi Kelulusan Mahasiswa Tepat Waktu Pada Universitas Buddhi Dharma Menggunakan Perbandingan Algoritma C4.5 dan K-NN Suwitno Witno
Tech-E Vol 1 No 1 (2017): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (826.318 KB) | DOI: 10.31253/te.v1i1.17

Abstract

Koleksi data pada database sistem informasi akademik Perguruan Tinggi sering tidak dimanfaatkan secara maksimal, padahal dari data tersebut dengan teknik data mining dapat memberikan pengetahuan yang belum diketahui sebelumnya. Tujuan dalam penelitian ini yaitu mengetahui cara membentuk model prediksi tingkat kelulusan mahasiswa tepat waktu pada Universitas Buddhi Dharma Tangerang melalui data kelulusan mahasiswa. Evaluasi kinerja klasifikasi dilakukan untuk mengetahui seberapa baik keakuratan dari suatu model yang terbentuk dengan perbandingan algoritma C4.5 dan K-NN. Pengujian dilakukan dengan Confusion Matrix dan kurva ROC. Hasil akurasi yang diperoleh membuktikan bahwa Algoritma C4.5 menghasilkan persentase akurasi 90% dan K-NN menghasilkan persentase akurasi 87%. Dengan demikian algoritma C4.5 memiliki nilai akurasi lebih tinggi dibanding K-NN. Algoritma C4.5 ini dapat digunakan untuk pembuatan aplikasi prediksi kelulusan mahasiswa tepat waktu pada Universitas Buddhi Dharma.
Monitoring Computer Activities with Cloud to Device Messaging (C2DM) Suwitno Witno; Rino Rino
Tech-E Vol 1 No 2 (2018): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (469.274 KB) | DOI: 10.31253/te.v1i2.42

Abstract

In a particular division, a supervisor needs to perform monitoring of the activities carried out at his employers to improve the performance of the work of his subordinates. Leaders are often not in place to monitor the activities of his subordinates in carrying out their responsibilities. One solution to overcome these problems is to supervise the use of their computer by means of push notification. By utilizing the technology of Cloud to Device Messaging (C2DM), supervisor can monitor computer activities of his employers anywhere. Given this research, is expected to help the supervisor in monitoring his employers despite not being in place. This may indirectly improve performance in a division. For further research can be developed monitoring in a real time.
Decision Support System Scholarship Using Profile Matching Ardiane Rossi Kurniawan Maranto; Suwitno Suwitno; Andri Wijaya
Tech-E Vol. 6 No. 1 (2022): Tech-E
Publisher : Fakultas Sains dan Teknologi-Universitas Buddhi Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/te.v6i1.1468

Abstract

Education is very necessary in social life. Education has a role that will improve the quality of resources to be able to have the competencies needed in an increasingly advanced and developing era. Giving this scholarship will also greatly help someone in pursuing and even getting an education. Scholarships must also be done objectively, not just subjectively. Because the problems that occur when objectively granting scholarships may not be in accordance with the target of the scholarship award. Scholarships must also be given according to the right criteria so that the scholarship grants get maximum results for the administrators and scholarship recipients. The research was conducted using the Profile Matching method with Interpolation at the Indonesian Christian Church Pos Cikoleang, it will require decision makers to determine the weight value for each criterion. The results issued by the system are the congregations that are accepted and rejected in the scholarship application. and the system can provide scholarships with an accuracy rate of 78%.