TA1931426557
Optimasi Digital Content Pada Open Journal System
Untuk Meningkatkan Insight Pengguna
TUGAS AKHIR
Disusun Oleh :
NIM |
: 1931425628
|
NAMA |
PROGRAM STUDI SISTEM KOMPUTER
KONSENTRASI COMPUTER SYSTEM
TANGERANG
TA. 2022/2023
ABSTRAK
Meningkatnya jumlah publikasi pada jurnal internasional dan jurnal internasional bereputasi akan mendorong Indonesia mampu bersaing dengan bangsa-bangsa lain. Maka hasil yang diharapkan adalah meningkatnya kuantitas dan kualitas jurnal nasional terakreditasi, dan jurnal-jurnal Indonesia yang masuk kategori jurnal internasional terindeks dan bereputasi, dan meningkatnya peringkat daya saing Indonesia pada publikasi ilmiah di tingkat internasional. Maka diyakini dengan adanya strategi peningkatan kualitas jurnal ilmiah bereputasi internasional menggunakan metode Indicator Measurement Factor Analysis (IMF) merupakan kunci dalam proses peningkatan kualitas jurnal ilmiah di Universitas Raharja. Dengan mengimplementasikan platform publikasi di International Transactions on Artificial Intelligence (ITALIC Journal). Dalam studi ini, menggunakan metode yang disebut IMF (Indicator Measurement Factor Analysis) IMF adalah alat implementasi sederhana dan berbiaya rendah yang memfasilitasi pemantauan dan implementasi kontrol POAC yang efektif dalam manajemen proyek. Tidak hanya itu, IMF mudah digunakan dan menghasilkan hasil yang efektif dalam menampung komunikasi, kolaborasi, pemikiran kritis, kompetisi, dan kreativitas kerja tim. Kumpulan informasi dari berbagai fitur IMF dibahas, dan tingkat kepuasan pengguna dikumpulkan dan dianalisis. Data ini dapat digunakan untuk memprediksi secara akurat pentingnya IMF dalam implementasi POAC, dan karenanya mendorong penerimaan yang luas di antara calon pengguna di berbagai bidang yang berbeda.
Kata Kunci: Indicator Measurement Factor Analysis (IMF), Platform Publikasi, International Transactions on Artificial Intelligence (ITALIC Journal)
ABSTRACT
The increasing number of publications in international journals and reputable international journals will encourage Indonesia to compete with other nations. The expected outcome is the increase in quantity and quality of accredited national journals, as well as Indonesian journals that fall under the category of indexed and reputable international journals, and the improvement of Indonesia's competitiveness in scientific publications at the international level. It is believed that the strategy to enhance the quality of internationally reputable scientific journals using the Indicator Measurement Factor Analysis (IMF) method is key to the process of improving the quality of scientific journals at Raharja University. This will be achieved by implementing a publication platform in the International Transactions on Artificial Intelligence (ITALIC Journal). In this study, the method called IMF (Indicator Measurement Factor Analysis) is used. IMF is a simple and cost-effective implementation tool that facilitates effective monitoring and control of POAC (Project Organization and Control) in project management. Furthermore, IMF is user-friendly and produces effective results in accommodating communication, collaboration, critical thinking, competition, and team creativity. The collection of information from various IMF features is discussed, and user satisfaction levels are gathered and analyzed. This data can be used to accurately predict the importance of IMF in POAC implementation and, therefore, promote widespread acceptance among potential users in various fields.
Keywords : Indicator Measurement Factor Analysis (IMF), Platform Publikasi, International Transactions on Artificial Intelligence (ITALIC Journal)
DAFTAR PUSTAKA
[1] Q. A. Qurotul Aini, M. B. Mukti Budiarto, P. O. H. POH Putra, and U. R. Untung Rahardja, “Exploring e-learning challenges during the global COVID-19 pandemic: A review,” J. Sist. Inf. (Journal Inf. Syst., vol. 16, no. 2, pp. 47–65, 2020.
[2] I. U. Rahardja, M. M. MTI, M. Henderi, M. Yusup, M. Kom, and Q. Aini, RENCANA INDUK RISET RAHARJA (RIRR) 5.0. NIRWANA NUSANTARA, 2021.
[3] T. Karaboğa, Y. Gürol, C. M. Binici, and P. Sarp, “Sustainable Digital Talent Ecosystem in the New Era: Impacts on Businesses, Governments and Universities,” Istanbul Bus. Res., vol. 49, no. 2, pp. 360–379, 2021, doi: 10.26650/ibr.2020.49.0009.
[4] S. Santoso, “Optimizing Access to Financial Capital of Creative Economy for Startups Towards Global Competitiveness,” Bus. Econ. Commun. Soc. Sci. J., vol. 2, no. 2, pp. 181–189, 2020, doi: 10.21512/becossjournal.v2i2.6246.
[5] U. Rahardja, A. N. Hidayanto, T. Hariguna, and Q. Aini, “Design framework on tertiary education system in Indonesia using blockchain technology,” in 2019 7th International Conference on Cyber and IT Service Management (CITSM), 2019, vol. 7, pp. 1–4.
[6] N. Lutfiani, U. Rahardja, and I. S. P. Manik, “Peran Inkubator Bisnis dalam Membangun Startup pada Perguruan Tinggi,” J. Penelit. Ekon. dan Bisnis, vol. 5, no. 1, pp. 77–89, 2020.
[7] G. Siregar, D. Andriany, and L. Bismala, “Program Inkubasi Bagi Tenant Inwall Di Pusat Kewirausahaan, Inovasi dan Inkubator Bisnis Universitas Muhammadiyah Sumatera Utara,” in Prosiding Seminar Nasional Kewirausahaan, 2019, vol. 1, no. 1, pp. 45–51.
[8] U. Rahardja, A. Moein, and N. Lutfiani, “Leadership, competency, working motivation and performance of high private education lecturer with institution accreditation B: Area kopertis IV Banten province,” Man India, vol. 97, no. 24, pp. 179–192, 2018.
[9] U. Rahardja, N. Lutfiani, S. Sudaryono, and R. Rochmawati, “The Strategy of Enhancing Employee Reward Using TOPSIS Method as a Decision Support System,” IJCCS (Indonesian J. Comput. Cybern. Syst., vol. 14, no. 4, pp. 387–396, 2020.
[10] D. Kiron, G. C. Kane, D. Palmer, A. N. Phillips, and N. Buckley, “Aligning the organization for its digital future,” MIT Sloan Manag. Rev., vol. 58, no. 1, 2016.
[11] M. Kamil, U. Rahardja, P. A. Sunarya, Q. Aini, and N. P. L. Santoso, “Socio-economic perspective: Mitigate covid-19 impact on education,” in 2020 Fifth International Conference on Informatics and Computing (ICIC), 2020, pp. 1–7.
[12] B. P. K. Bintoro, N. Lutfiani, and D. Julianingsih, “Analysis of the Effect of Service Quality on Company Reputation on Purchase Decisions for Professional Recruitment Services,” APTISI Trans. Manag., vol. 7, no. 1, pp. 35–41, 2023.