Published: 2023-01-01
Perancangan Modul Persetujuan Otomatis dan Klasifikasi pada Sistem Persetujuan Lapor Diri Pensiun Menggunakan FSA
DOI: 10.35870/jtik.v7i1.626
Harianto, Windu Gata, Virda Mega Ayu, Achmad Bayhaqy
Article Metrics
- Views 0
- Downloads 0
- Scopus Citations
- Google Scholar
- Crossref Citations
- Semantic Scholar
- DataCite Metrics
-
If the link doesn't work, copy the DOI or article title for manual search (API Maintenance).
Abstract
Retired Dana Pensiun Perkebunan Defined Benefit Pension Plan (PPMP) participants are required to certify annually that they still meet the criteria for being a valid pensioner. The retiree uses the Dapenbun online application to take a photo of himself and her ID card and wait for the data to be processed by the administrator. Pensioners who do not report will have their pension entitlements suspended. The number of retirees managed by the Plantation Pension Fund is over 216,000, and managers are overwhelmed with approval at the start of the re-data period. For this reason, authors design systems that can run automated approval and classification systems to facilitate data approval. Applying the FSA concept to this system reduces the processing of participant data as automation is applied to the first process of automatic termination of pensions for children aged 21 and over, second data with criteria for automatic approval. It will be faster. Categorizing data reduces approval errors and makes it easier for users to approve data.
Keywords
Pension Fund ; Refund ; Retirement Benefits ; Defined Benefit Pension Plan ; Finite State Automata (FSA)
Article Metadata
Peer Review Process
This article has undergone a double-blind peer review process to ensure quality and impartiality.
Indexing Information
Discover where this journal is indexed at our indexing page to understand its reach and credibility.
Open Science Badges
This journal supports transparency in research and encourages authors to meet criteria for Open Science Badges by sharing data, materials, or preregistered studies.
How to Cite
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
-
Issue: Vol. 7 No. 1 (2023)
-
Section: Computer & Communication Science
-
Published: %750 %e, %2023
-
License: CC BY 4.0
-
Copyright: © 2023 Authors
-
DOI: 10.35870/jtik.v7i1.626
AI Research Hub
This article is indexed and available through various AI-powered research tools and citation platforms. Our AI Research Hub ensures that scholarly work is discoverable, accessible, and easily integrated into the global research ecosystem. By leveraging artificial intelligence for indexing, recommendation, and citation analysis, we enhance the visibility and impact of published research.
-
Sukowo, B. and Devianto, Y., 2021. Registrasi Ulang Bagi Penerima Manfaat Pensiun Yang Berbasis Mobile. JATISI (Jurnal Teknik Informatika dan Sistem Informasi), 8(2), pp.947-959. DOI: https://doi.org/10.35957/jatisi.v8i2.816.
-
Rosmiati, M. and Sitasi, C., 2019. Animasi Interaktif Sebagai Media Pembelajaran Bahasa Inggris Menggunakan Metode ADDIE. Paradigma: Jurnal Komputer Dan Informatika Univiersitas Bina Sarana Informatika, 21(2), p.v21i2. DOI: https://doi.org/10.31294/p.v23i2.11290.
-
Asrun, B., 2020. Konsep Finite State Automata Dalam Proses Pendaftaran Ujian Skripsi Di Fakultas Teknik Komputer UNCP. Jurnal Ilmiah Teknologi Informasi, 10(2). DOI: https://doi.org/10.30605/dcomputare.v10i2.29.
-
Widyasari, W., 2011. Telaah Teoritis Finite State Automata Dengan Pengujian Hasil Pada Mesin Otomata. Jurnal SISFOTENIKA, 1(1), pp.59-67. DOI: http://dx.doi.org/10.30700/jst.v1i1.7.
-
Farmanbar, A., Firouzi, S., Park, S.J., Nakai, K., Uchimaru, K. and Watanabe, T., 2017. Multidisciplinary insight into clonal expansion of HTLV-1–infected cells in adult T-cell leukemia via modeling by deterministic finite automata coupled with high-throughput sequencing. BMC medical genomics, 10(1), pp.1-12. DOI: DOI: http://dx.doi.org/10.1186/S12920-016-0241-2.
-
-
-
-
Pribadi, T.Y., Handayani, K., Giovani, A.P. and Gata, W., 2021. Diagnosis of Heart Disease Using Automata Finite State Algorithm. Techno Nusa Mandiri, 18(1), pp.17-24. DOI: https://doi.org/10.33480/techno.v18i1.1364.
-
Aziz, F., Said, F. and Sudrajat, A., 2020. Penerapan Konsep Finite State Automata Dalam Proses Pendaftaran Kelas Kursus Bahasa Inggris Pada Tempat Kursus. MATICS, 12(2), pp.93-98. DOI: https://doi.org/10.18860/mat.v12i2.9330.
-
Maulana, A.S., 2019. Implementasi Finite State Automata (FSA) dengan Simulasi Vending Machine pada Aplikasi Android. Jurnal Edukasi Elektro, 3(2). DOI: https://doi.org/10.21831/jee.v3i2.28332.
-
Sugiyanto, Hermaliani, E.H., Haryanti, T. and Gata, W., 2021. Penerapan Finite State Automata Pada Vending Machine Sistem Parkir Kendaraan Motor. JURNAL ILMIAH BETRIK: Besemah Teknologi Informasi dan Komputer, 12(2), pp.146-153. DOI: https://doi.org/10.36050/betrik.v12i2.324.
-
Suprapto, D.D.A. and Fauziah, F., 2020. Implementasi Finite State Automata pada Mesin Abstrak DFA dan NFA Berbasis Android. STRING (Satuan Tulisan Riset dan Inovasi Teknologi), 5(1), pp.28-36. DOI: http://dx.doi.org/10.30998/string.v5i1.6196.
-
Yulianto, L.D., Gata, W. and Saputra, D.D., 2022. Validasi Dokumen Pengajuan Penelitian dan Pengabdian Masyarakat Universitas Nasional Menggunakan Metode Finite State Automata. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 6(4), pp.497-504. DOI: https://doi.org/10.35870/jtik.v6i4.520.
-
Yulianty, V., Lim, S., Bayhaqy, A., Hermaliani, E.H. and Gata, W., 2021. Penerapan Finite State Automata pada Pengajuan Berkas Penyedia dalam Layanan Pengadaan Secara Elektronik. JIKA (Jurnal Informatika), 5(3), pp.282-289. DOI: http://dx.doi.org/10.31000/jika.v5i3.4683.
-
Zubair, A., 2015. Jflap Sebagai Alat Bantu Pengajaran Automata. Jurnal Teknologi dan Manajemen Informatika, 1(1). DOI: http://dx.doi.org/10.26905/JTMI.V1I1.66.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Authors who publish with this journal agree to the following terms:
1. Copyright Retention and Open Access License
Authors retain copyright of their work and grant the journal non-exclusive right of first publication under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
This license allows unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
2. Rights Granted Under CC BY 4.0
Under this license, readers are free to:
- Share — copy and redistribute the material in any medium or format
- Adapt — remix, transform, and build upon the material for any purpose, including commercial use
- No additional restrictions — the licensor cannot revoke these freedoms as long as license terms are followed
3. Attribution Requirements
All uses must include:
- Proper citation of the original work
- Link to the Creative Commons license
- Indication if changes were made to the original work
- No suggestion that the licensor endorses the user or their use
4. Additional Distribution Rights
Authors may:
- Deposit the published version in institutional repositories
- Share through academic social networks
- Include in books, monographs, or other publications
- Post on personal or institutional websites
Requirement: All additional distributions must maintain the CC BY 4.0 license and proper attribution.
5. Self-Archiving and Pre-Print Sharing
Authors are encouraged to:
- Share pre-prints and post-prints online
- Deposit in subject-specific repositories (e.g., arXiv, bioRxiv)
- Engage in scholarly communication throughout the publication process
6. Open Access Commitment
This journal provides immediate open access to all content, supporting the global exchange of knowledge without financial, legal, or technical barriers.