Vol. 2 No. 2 (2021) • Articles
Open Access

MODEL SISTEM INFORMASI SURAT PERINTAH TUGAS DAN SURAT PERINTAH PERJALANAN DINAS BERBASIS WEB (STUDI KASUS: AMIK INDONESIA)

Munawir Munawir
AMIK Indonesia
Rahmi Hajriyanti
AMIK Indonesia
Published: August 29, 2021 Pages: 63-68
Original Full-Text Article
Download published version for reading and archiving
Abstract

The purpose of the research is to build a website-based program model for the creation of a website-based information system for assignment warrants and official travel warrants. For the application development process using the waterfall model, and data flow diagrams are used for logical data flow diagrams to describe the system to be proposed. The conclusions from the results of this study are; 1) The official travel order information system at the AMIK Indonesia Campus was developed to facilitate the processing of SPPD information for staff so that it becomes more effective and efficient, and 2) The official travel order information system at the AMIK Indonesia Campus was developed web-based using PHP and Mysql as databases thus producing SPPD input forms, employee data input forms, provincial, district and SPPD reports.

Article Metrics & Downloads Graph
Monthly Download Trends:
Author Biographies
Munawir Munawir AMIK Indonesia

Program Studi Manajemen Informatika, Fakultas Ilmu Komputer, AMIK Indonesia, Jl. T Nyak Arief Sp Mesra No. 400, Kota Banda Aceh, Indonesia

Rahmi Hajriyanti AMIK Indonesia

Program Studi Manajemen Informatika, Fakultas Ilmu Komputer, AMIK Indonesia, Jl. T Nyak Arief Sp Mesra No. 400, Kota Banda Aceh, Indonesia

How to Cite
Munawir, M., & Hajriyanti, R. (2021). MODEL SISTEM INFORMASI SURAT PERINTAH TUGAS DAN SURAT PERINTAH PERJALANAN DINAS BERBASIS WEB (STUDI KASUS: AMIK INDONESIA). Jurnal Indonesia : Manajemen Informatika Dan Komunikasi, 2(2), 63-68. https://doi.org/10.35870/jimik.v2i2.44
License

Creative Commons Attribution 4.0 International License (CC BY 4.0)

This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License .

  • Share: You are free to copy, distribute, and transmit the work in any medium or format.
  • Adapt: You are free to remix, transform, and build upon the work for any purpose, even commercially.
  • Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Copyright & Retention: Authors retain copyright without restrictions and grant this journal the right of first publication under an open-access model. The journal retains non-exclusive publishing rights for archiving, indexing, and scholarly dissemination.

References
Total: 14 References
  1. König, J., Jäger-Biela, D.J. and Glutsch, N., 2020. Adapting to online teaching during COVID-19 school closure: teacher education and teacher competence effects among early career teachers in Germany. European Journal of Teacher Education, 43(4), pp.608-622.
  2. Nelson, R.R., 2019. On technological capabilities and their acquisition. In Science and Technology (pp. 71-80). Routledge.
  3. Simarmata, J., Chaerul, M., Mukti, R.C., Purba, D.W., Tamrin, A.F., Jamaludin, J., Suhelayanti, S., Watrianthos, R., Sahabuddin, A.A. and Meganingratna, A., 2020. Teknologi Informasi: Aplikasi dan Penerapannya. Yayasan Kita Menulis.
  4. Mukhtar, M. and Munawir, M., 2018. Aplikasi Decision Support System (DSS) dengan Metode Fuzzy Multiple Attribute Decission Making (FMADM) Studi Kasus: AMIK Indonesia Dan STMIK Indonesia. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 2(1), pp.57-70.
  5. Akbar, R. and Mukhtar, M., 2019. E-Tracer Study Based on Expert Systems (A Case Study at AMIK Indonesia). EPH-International Journal of Science And Engineering, 5(5), pp.12-17.
  6. Febriani, O.M. and Putra, A.S., 2013. Sistem Informasi Monitoring Inventori Barang Pada Balai Riset Standardisasi Industri Bandar Lampung. Jurnal Informatika, 13(1), pp.90-98.
  7. Gao, M., Yang, X., Pu, J., Horowitz, M. and Kozyrakis, C., 2019, April. Tangram: Optimized coarse-grained dataflow for scalable nn accelerators. In Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems (pp. 807-820).
  8. Khorunzhak, N., Brukhanskyi, R. and Ivanyshyn, V., 2019. Logic-statistical information models in control function of accounting. Independent Journal of Management & Production, 10(7), pp.846-871.
  9. Yu, B. and Silva, C.T., 2019. FlowSense: A natural language interface for visual data exploration within a dataflow system. IEEE transactions on visualization and computer graphics, 26(1), pp.1-11.
  10. Chen, Y., Xie, Y., Song, L., Chen, F. and Tang, T., 2020. A survey of accelerator architectures for deep neural networks. Engineering, 6(3), pp.264-274.
  11. Svobodová, L. and Černá, M., 2018, September. Project management model with designed data flow diagram: The case of ICT hybrid learning of elderly people in the Czech Republic. In International Conference on Computational Collective Intelligence (pp. 399-408). Springer, Cham.
  12. Yu, B. and Silva, C.T., 2019. FlowSense: A natural language interface for visual data exploration within a dataflow system. IEEE transactions on visualization and computer graphics, 26(1), pp.1-11.
  13. Wan, W., Kubendran, R., Eryilmaz, S.B., Zhang, W., Liao, Y., Wu, D., Deiss, S., Gao, B., Raina, P., Joshi, S. and Wu, H., 2020, February. 33.1 a 74 tmacs/w cmos-rram neurosynaptic core with dynamically reconfigurable dataflow and in-situ transposable weights for probabilistic graphical models. In 2020 IEEE International Solid-State Circuits Conference-(ISSCC) (pp. 498-500). IEEE.
  14. Sion, L., Dewitte, P., Van Landuyt, D., Wuyts, K., Emanuilov, I., Valcke, P. and Joosen, W., 2019, March. An architectural view for data protection by design. In 2019 IEEE International Conference on Software Architecture (ICSA) (pp. 11-20). IEEE.