Implementasi Metode Rapid Application Development Pada Sistem Informasi Laboratorium Berbasis Web (Kasus: Laboratorium Mikrobiologi dan Genetika Universitas Nasional)
DOI:
https://doi.org/10.35870/jtik.v8i4.2258Keywords:
Management Information System, Laboratory, Lending, ChatbotAbstract
The Microbiology and Genetics Laboratory at the Faculty of Biology and Agriculture, National University, has a Laboratory Assistant who is technically responsible for managing various aspects of the laboratory. Laboratory management includes the administration of borrowing space, tools, books, as well as setting up the laboratory as a place for research and practicums. Administrative processes that are still manual cause delays in borrowing space, tools and books in the laboratory. To overcome this problem, this research aims to build a management information system (SIMLAB) that can help make laboratory assistants' tasks easier. System validation is carried out using the black box method. Chatbot system testing involves sentence similarity tests and word similarity test results. The test results show that if the similarity of sentences or words is more than 70%, the chatbot can identify questions and provide answers based on the dataset. However, if it is less than 70%, the chatbot will give the default answer "I don't understand the meaning of your question"
Downloads
References
Pearlson, K. E., Saunders, C. S., & Galletta, D. F. (2019). Managing and using information systems: A strategic approach. John Wiley & Sons.
Gosal, R., & Rustam, A. (2022). Perancangan Sistem Informasi Inventory Berbasis Web Pada Gudang Di Pt. Spin Warriors. Aisyah Journal Of Informatics and Electrical Engineering (AJIEE), 4(1), 27-32. DOI: https://doi.org/10.30604/jti.v4i1.99.
Pambudi, R. (2022). PENGEMBANGAN APLIKASI PENDAFTARAN SEMINAR INTERNASIONAL BERBASIS WEB.
Rohadi, C., Fitri, I., & Nurhayati, N. (2022). Aplikasi Monitoring Peralatan, Bahan Laboratorium Menggunakan Metode Sequential Search di Laboratorium Mikrobiologi dan Genetika UNAS. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 6(3), 340-347. DOI: https://doi.org/10.35870/jtik.v6i3.428.
Harun Al Rasyid, M., & Nasir, M. P. (2020). Mengelola Laboratorium Ipa Sekolah. Penerbit Lakeisha.
Mustakim, F., Fauziah, F., & Hayati, N. (2021). Algoritma Artificial Neural Network pada Text-based Chatbot Frequently Asked Question (FAQ) Web Kuliah Universitas Nasional. Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi), 5(4), 438-446. DOI: https://doi.org/10.35870/jtik.v5i4.261.
Sabna, E. (2022). APLIKASI CHATBOT SEBAGAI CUSTOMER SUPPORT UNTUK MENINGKATKAN PELAYANAN TERHADAP CALON MAHASISWA: APLIKASI CHATBOT SEBAGAI CUSTOMER SUPPORT UNTUK MENINGKATKAN PELAYANAN TERHADAP CALON MAHASISWA. Jurnal Ilmu Komputer, 11(1), 21-24. DOI: https://doi.org/10.33060/JIK/2022/Vol11.Iss1.249.
Aldisa, R. T., & Arofi, A. (2022). Penerapan Metode Prototyping Pada Perancangan Sistem Layanan Pengaduan Berbasis Website. JURIKOM (Jurnal Riset Komputer), 9(2), 373-379. DOI: http://dx.doi.org/10.30865/jurikom.v9i2.396.
Noveandini, R., & Wulandari, M. S. (2023). Penerapan Metode Rapid Application Development Pada Rancang Bangun e-Galery Batik Pekalongan. G-Tech: Jurnal Teknologi Terapan, 7(1), 270-279. DOI: https://doi.org/10.33379/gtech.v7i1.1950.
Hutama, R. C., Fauziah, F., & Komalasari, R. T. (2021). Aplikasi Chatbot Berbasis Teks Menggunakan Algoritma Naive Bayes Classifier FAQ GrabAds. STRING (Satuan Tulisan Riset dan Inovasi Teknologi), 6(1), 90-97. DOI: http://dx.doi.org/10.30998/string.v6i1.9919.
Primartha, R., & Wahono, R. S. (2021). Algoritma machine learning. Bandung: Informatika.
Fathoni, F., Afrianti, E., & Heroza, R. I. (2020). Klasifikasi Teks dengan Naïve Bayes Classifier (NBC) untuk Pengelompokan Keterangan Laporan dan Durasi Recovery Time Laporan Gangguan Listrik PT. PLN (Persero) WS2JB Area Palembang. JSI: Jurnal Sistem Informasi (E-Journal), 12(1). DOI: https://doi.org/10.18495/jsi.v12i1.9586.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Ricky Budhi Prasetyo, Nurhayati, Frenda Farahdinna
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.
