Data-Driven Decision Making terkait Penetapan UKT di UIN Sunan Gunung Djati Bandung


Fauzan Hanif Abdillah(1), Ranti Febrianti(2), Jaliludin Muslim(3*)

(1) UIN Sunan Gunung Djati Bandung, Indonesia
(2) UIN Sunan Gunung Djati Bandung, Indonesia
(3) UIN Sunan Gunung Djati Bandung, Indonesia
(*) Corresponding Author

Abstract


This paper discusses and interprets the results of several studies related to data-based decision-making. Data-based decision-making capabilities consist of Data Governance Capability, Data Analytics Capability, Performance Management Capability, Insight Exploitation Capability, and Integration Capability. The discussion is carried out by analyzing the description of four data-based decision-making capabilities related to tuition at UIN SGD Bandung: Data Governance Capability, Data Analytics Capability, Performance Management Capability, and Insight Exploitation Capability. The approach used in this study is qualitative with a case study design. The informants were obtained through a purposive sampling technique which was then tested for the validity of the results of the interviews by triangulating the data. The goal to be achieved is to describe how the process of using data in decision-making is carried out by campus authorities regarding tuition at UIN SGD Bandung so that it can produce a policy output. The findings in this study are that determining the amount of tuition accepted by UIN SGD Bandung students has gone through various processes, including using data as a reference for decision-making. However, a capability still needs to be fully fulfilled, namely, Performance Management Capability.

Keywords: big data, data driven. Decision-making, tuition

Full Text:

PDF

References


Ali, I. (2019). Opini: Peran dan Kontribusi Big Data dalam Pendidikan dan Pelatihan Kepustakawanan. Adika: Media Informasi Dan Komunikasi Diklat Kepustakawanan , 5(1), 8–15.

Alia, S., & Ratnasari, E. (2021). Aplikasi Pikobar Solusi Digital Andalan Bagi Jawa Barat Untuk Covid-19. Ministrate: Jurnal Birokrasi & Pemerintahan Daerah, 3(3), 249–257.

Anggraeni, H. D., Saputra, R., & Noranita, B. (2013). Aplikasi Data Mining Analisis Data Transaksi Penjualan Obat Menggunakan Algoritma Apriori (Studi Kasus di Apotek Setya Sehat Semarang). Journal of Informatics and Technology, 2(2), 22–28. http://ejournal-s1.undip.ac.id/index.php/joint

Chandarana, P., & Vijayalakshmi, M. (2014). Big Data Analytics Frameworks. International Conference on Circuits, Systems, Communication and Information Technology Applications (CSCITA).

Creswell, J. W. (2019). Research Desain Pendekatan Metode Kualitatif, Kuantitatif, dan Campuran (Edisi 4) (ke-4). Pustaka Pelajar.

Creswell, J. W., & Poth, C. N. (2016). Qualitative inquiry and research design: Choosing among five approaches (Fourth Edition). Sage Publications.

Damanik, M. P., & Purwaningsih, E. H. (2017). E-Government dan Aplikasinya di LIingkungan Pemerintah Daerah (Studi Kasus Kualitas Informasi Website Kabupaten Bengkalis Propinsi Riau). Jurnal Studi Komunikasi Dan Media, 21(2), 151–164.

Gusman, A. (2020). Implementasi Metode Simple Additive Weighting (SAW) pada Sistem Pendukung Keputusan dalam Menentukan Uang Kuliah Tunggal (UKT) Mahasiswa Berbasis Website (Studi Kasus: UIN Sunan Gunung Djati Bandung [Universitas Islam Negeri Sunan Gunung Djati Bandung]. https://digilib.uinsgd.ac.id/33074/

Hall, M. (2008). The effect of comprehensive performance measurement systems on role clarity, psychological empowerment and managerial performance, Accounting, Organizations and Society. Accounting, Organizations and Society, 33(2–3), 141–163. https://doi.org/https://doi.org/10.1016/j.aos.2007.02.004.

Harahap, N. J. (2019). Mahasiswa dan Revolusi Industri 4.0. Jurnal Ecobisma (Ekonomi, Bisnis, Dan Manajemen), 6(1), 70–78.

Hertati, L., & Safkaur, O. (2020). Dampak Revolusi Industri 4.0 Era Covid-19 pada Sistem Informasi Akuntansi Terhadap Struktur Modal Perusahaan. Jurnal Riset Akuntansi Dan Keuangan, 8(3), 503–518. https://doi.org/10.17509/jrak.v8i3.23557

Indrajit, R. E., Rudianto, D., & Zainuddin, A. (2007). Electronic Government in Action: Strategi Implementasi di Berbagai Negara. Aptikom.

Jia, L., Hall, D., & Song, J. (2015). The Conceptualization of Data-driven Decision Making Capability. Americas Conference on Information Systems, 1–13.

Kristiyanto, D. Y., & Suhartono, B. (2020). Rancang Bangun Infrastruktur Big Data pada Institusi Pendidikan Tinggi Multi Kampus. MEANS (Media Informasi Analisa Dan Sistem), 5(1), 1–7. http://ejournal.ust.ac.id/index.php/Jurnal_Means/

Kurniawan, H., Defit, S., & Sumijan. (2020). Data Mining Menggunakan Metode K-Means Clustering Untuk Menentukan Besaran Uang Kuliah Tunggal. Journal of Applied Computer Science and Technology, 1(2), 80–89. https://doi.org/10.52158/jacost.v1i2.102

Mandinach, E. B., Honey, M., & Light, D. (2006). A Theoretical Framework for Data-Driven Decision Making.

Muttaqin, I. (2019). Implementasi Asset Management Maturity Model Berbasis ISO 55001:2014 pada Perspektif Situs Bersejarah (Heritage Site) (Studi Kasus : Museum Candi Kimpulan, Umbulmartani, Ngaglik, Sleman, Yogyakarta) [Universitas Islam Indonesia]. https://dspace.uii.ac.id/handle/123456789/18023

Nafah, H. K., & Purnaningrum, E. (2021). Penggunaan Big Data Melalui Analisis Google Trends untuk Mengetahui Perspektif Pariwisata Indonesia di Mata Dunia. Prosiding Seminar Nasional Hasil Riset Dan Pengabdian Ke-III, 430–436. https://trends.google.com/trends/?geo=US

Nugraha, A., Umam, K., & Alia, S. (2022). Pemanfaatan Data untuk Pembuatan Kebijakan dalam Penanggulangan Pengangguran di Kota Bandung Melalui Aplikasi Bandung Integrated Manpower Management Application. Ministrate: Jurnal Birokrasi & Pemerintahan Daerah, 4(2), 1–19.

Nugroho, F. P., Abdullah, R. W., Wulandari, S., & Hanafi. (2019). Keamanan Big Data di Era Digital di Indonesia. Jurnal INFORMA, 5(1), 28–34.

Palau, E. la, & Rajul, A. (2022, January). Kampus Melanggar Konstitusi jika Mengeluarkan Mahasiswa yang tak Mampu Membayar UKT. BandungBergerak.Id. https://bandungbergerak.id/article/detail/2090/kampus-melanggar-konstitusi-jika-mengeluarkan-mahasiswa-yang-tak-mampu-membayar-ukt

Purnawanti, S. (2021). Pengambilan Keputusan Golongan UKT di UIN Sunan Ampel Surabaya dengan Menggunakan Analytical Hierarchy Process (AHP) [Universitas Islam Negeri Sunan Ampel]. https://digilib.uinsa.ac.id/49539/

Solihin, O. (2021). Implementasi Big Data pada Sosial Media sebagai Strategi Komunikasi Krisis Pemerintah. Jurnal Common , 5(1), 56–66. https://doi.org/10.34010/common

Supriyanto, E. E., Bakti, I. S., & Furqon, M. (2021). The Role Big Data in the Implementation of Distance Learning. Paedagoria : Jurnal Kajian, Penelitian Dan Pengembangan Kependidikan, 12(1), 61–68. https://doi.org/10.31764

Suyoga, I. G. S., Kencana, I. P. E. N., & Sukarsa, I. K. G. (2017). Penggolongan Uang Kuliah Tunggal Menggunakan Support Vector Machine. E-Jurnal Matematika, 6(4), 220–225. https://doi.org/10.24843/mtk.2017.v06.i04.p169

World Bank, T. (2003). The E-Government Handbook for Developing Countries, A Project of InfoDev and The Center For Democracy and Technology.




DOI: https://doi.org/10.15575/jbpd.v5i2.25981

DOI (PDF): https://doi.org/10.15575/jbpd.v5i2.25981.g9050

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 Fauzan Hanif Abdillah, Ranti Febrianti, Jaliludin Muslim

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

 

Ministrate: Jurnal Birokrasi & Pemerintahan Daerah
Has Been Indexed on:

Indeks Harvard    
    
      

 


Ministrate : Jurnal Birokrasi dan Pemerintahan Daerah is licensed under Attribution-ShareAlike 4.0 International