VISUALISASI PENGAJARAN, PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT YAYASAN PENDIDIKAN DAN KEBUDAYAAN DHARMA WACANA

  • Chrisensia Puspa Kesumaningrum STMIK Dharma Wacana
  • Sita Muharni STMIK Dharma Wacana

Abstract

At the Dharma Wacana Metro Education and Cultural Foundation, the delivery of information about the implementation of the Tri Dharma is considered not to be able to run well, this is because there is no special supervision carried out to evaluate whether the Tri Dharma of Higher Education has gone well. Making Data Visualization of Tri Dharma Lecturers at the Dharma Wacana Education and Culture Foundation can make it easier to supervise the running of Tri Dharma and also make data presented in an easy-to-understand display and the data display will be more attractive. Making Data Visualization using Cloud Application Data Studio, the method used for Data Visualization of Tri Dharma Lecturers at the Dharma Wacana Education and Culture Foundation is CRISP-DM (Cross Industry Standard Process for Data Mining). The results obtained from the Visualization of Lecturer Data at the Dharma Wacana Education and Culture Foundation are considered to have not carried out the Tri Dharma optimally. From the percentage of each university, lecturers who carry out the Tri Dharma of Higher Education are: STISIPOL 52.9%, STMIK 75.8%, STIPER 63.3% and AKPER 74.4%.

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References

[1] S. Muharni, S. Andriyanto, J. K. No, and M. M. B. K. Metro, “Penerapan Metode K-Means Clustering pada Data Tingkat Pengangguran Terbuka Tahun 2016-2018 dan 2019-2021,” J. Inform., vol. 22, no. 01, 2022.

[2] S. Yuliawati, “Kajian implementasi tri dharma perguruan tinggi sebagai fenomena pendidikan tinggi di Indonesia,” Widya, vol. 29, no. 318, pp. 28–33, 2012.

[3] W. I. Loka and F. Natalia, “Perancangan dan Pembuatan Visualisasi Data Dana Penelitian Internal dan Hibah Dikti LPPM Universitas Multimedia Nusantara,” vol. X, no. 1, pp. 61–68, 2019.

[4] C. V. L. N. Abadi and K. L. K. Malang, “BUKU MODUL VISUALISASI DATA MENGGUNAKAN DATA STUDIO,” 2022.

[5] D. Naista and M. S. Hasibuan, “Visualisasi Data Hasil Uji Kompetensi Jurusan Rekayasa Perangkat Lunak SMK Negeri 3 Metro Oleh Dinas Perindustrian dan Perdagangan Provinsi Lampung 2021,” in Prosiding Seminar Nasional Darmajaya, 2022, vol. 1, pp. 115–122.

[6] D. F. Saputra, “Visualisasi data di sistem manajemen perpustakaan,” J. Perpust. Pertan., vol. 26, no. 2, pp. 82–86, 2018.

[7] S. Muharni, S. Andriyanto, and D. Naista, “IMPLEMENTASI DEMPSTER SHAFER UNTUK MENDIAGNOSA GANGGUAN KEHAMILAN PADA IBU,” J. Inform., vol. 21, no. 2, pp. 146–160, 2021.

[8] K. Kurniawan and D. A. Darius Antoni, “Visualisasi Data Penduduk Dalam Membangun E-government Berbasis Sistem Informasi Geografis (GIS).,” Vis. Data Pendud. Dalam Membangun E-government Berbas. Sist. Inf. Geogr., 2022.

[9] S. Andriyanto and S. Muharni, “Sistem Pendeteksi Kerusakan Keyboard Arranger Berbasis Artificial Intelligence (AI),” in Prosiding Seminar Nasional Darmajaya, 2021, vol. 1, pp. 12–28.

[10] B. H. Hayadi, “Visualisasi Konsep Umum Sistem Pakar Berbasis Multimedia,” RJOCS (Riau J. Comput. Sci., vol. 3, no. 1, pp. 17–22, 2017.
Published
2023-04-19
How to Cite
[1]
C. Kesumaningrum and S. Muharni, “VISUALISASI PENGAJARAN, PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT YAYASAN PENDIDIKAN DAN KEBUDAYAAN DHARMA WACANA”, Jurnal Informasi dan Komputer, vol. 11, no. 01, pp. 124-132, Apr. 2023.