Penyajian Informasi Untuk Persebaran Lokasi Kerja Alumni STT Terpadu Nurul Fikri Dengan Menggunakan ArcGIS 10.5
Geospatial Information System (GIS) is an information system that helps map events on earth to be analyzed with the help of computers. This GIS can make it easier to manage geographic information systems. Based on the results of an interview with the unit manager of the vice-chairman III of STT Terpadu Nurul Fikri, that currently, cannot map and see the visualization of the alumni's work field by the study program. Now, the vice-chairman III unit only can display information data with the help of Microsoft Excel. This study aims to build a Geospatial Information System with the ArcGIS application, making it easier to manage alumni and carry out tracer studies. If this data is available, it will be easier to maintain the relationship between alumni and the STT Terpadu Nurul Fikri. Good alumni data management will also open ample opportunities for collaboration, such as internships, jobs, graduate offers, and information on events and promotions. The results of the evaluation of the information presented were 81.25%, which meant that Deputy Assistant III had agreed with the presentation of data on the distribution of work locations for STT-NF alumni using ArcGIS 10.5. Based on determining the point of work location for STT-NF alumni, it was found that 89% of alumni work in the information technology sector and that their work locations are in the Greater Jakarta area.
G. G. Thomas and E. Wagiu, “Alumni Tracer Study System Design Using Web-Based Gps (Case Study of Universitas Advent Indonesia),” Abstr. Proc. Int. Sch. Conf., vol. 7, no. 1, pp. 1801–1817, 2019.
A. Ibrahim, Y. Pratomo, E. Lestari, Famuhantara, R. Adi, and Yusmaniarti, “Geographic Information System Design for Alumni of Information System Department, Faculty of Computer Science, Sriwijaya University,” J. Phys. Conf. Ser., vol. 1338, no. 1, pp. 0–6, 2019.
H. Susilo, “Perancangan Sistem Informasi Pemetaan Alumni Stikes Syedza Saintika Berbasis Web GIS,” Ensiklopedia J., vol. 1, no. 2, pp. 192–198, 2019.
A. Agus and M. Ridwan, “Pemetaan Objek Wisata Alam Kabupaten Kepulauan Selayar Berbasis Sistem Informasi Geografis ArcGIS 10.5,” PUSAKA (Journal Tour. Hosp. Travel Bus. Event), vol. 1, no. 1, pp. 45–50, 2019.
J. Kurniawan, B. Purnawan, D. Apriyanti, and D. Spasial, “Perbandingan Fungsi Software ArcGIS 10 . 1 Dengan Software Quantum GIS 2.14.5 untuk Ketersediaan Data Berbasis Spasial,” J. Progr. Stud. Tek. Geod., vol. 1, no. 1, pp. 1–11, 2016.
R. Risdianto, G. I. Marthasari, and W. Suharso, “Sistem Informasi Geografis Berbasis Web Untuk Pemetaan Lokasi Pelatihan Sepakbola Di Kota Malang Menggunakan ArcGIS,” J. Repos., vol. 2, no. 6, p. 701, 2020.
E. Irwansyah, W. Budiharto, D. Widhyatmoko, A. Istamar, and F. P. Panghurian, “Monitoring Coronavirus COVID-19/SARS-CoV-2 Pandemic using GIS Dashboard: International and Indonesia Context,” 2020.
H. Yan, L. Feng, Y. Zhao, L. Feng, D. Wu, and C. Zhu, “Prediction of the spatial distribution of Alternanthera philoxeroides in China based on ArcGIS and MaxEnt,” Glob. Ecol. Conserv., vol. 21, pp. 1–15, 2020.
M. M. Nowak, K. Dziób, Ł. Ludwisiak, and J. Chmiel, “Mobile GIS applications for environmental field surveys: A state of the art,” Glob. Ecol. Conserv., vol. 23, 2020.
M. F. Muhyidin, A. Poniman, and M. Supriyatno, “WebGIS Utilization for Information Dissemination of Indonesia Outer Small Islands,” in 2019 The 5th International Conference on Information Technology and Bussiness (ICITB 2019), 2019, no. ICITB, pp. 133–140.
E. J. Jordan, C. Moran, and J. M. Godwyll, “Does tourism really cause stress? A natural experiment utilizing ArcGIS Survey123,” Curr. Issues Tour., vol. 0, no. 0, pp. 1–15, 2019.
L. Bennett, “Machine Learning in ArcGIS,” ArcGIS Blog Analytics, 2017. [Online]. Available: https://www.esri.com/ArcGIS-blog/products/ArcGIS-pro/analytics/machine-learning-in-ArcGIS/. [Accessed: 26-Oct-2020].
I. K. D. G. Supartha, M. Sudarma, and D. M. Wiharta, “Sistem Informasi Geografis Pemetaan Persebaran Alumni dengan Analisa Clustering,” Maj. Ilm. Teknol. Elektro, vol. 17, no. 3, p. 377, 2018.
I. T. Anggoro, A. L. Nugraha, and M. Awaluddin, “Analisis Sebaran Mahasiswa Departemen Teknik Geodesi Universitas Diponegoro Menggunakan Sistem Informasi Geografis (SIG),” J. Geod. Undip, vol. 8, no. 3, pp. 1–7, 2019.
S. Rahayu, “Perancangan Sistem Informasi Geografis Pemetaan Sebaran Alumni,” J. Algoritm., vol. 15, no. 2, pp. 113–119, 2019.
Sekaran, Research methods for business (4th edition), vol. 65, no. 3. 2003.
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