Sufyan Al Afi, . (2026) IMPLEMENTASI ALGORITMA LEVENSHTEIN DISTANCE DALAM APLIKASI KAMUS BAHASA MUNA BERBASIS FLUTTER. Skripsi thesis, Universitas Pembangunan Nasional Veteran Jakarta.
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Abstract
Muna is one of the regional languages in Southeast Sulawesi that is currently experiencing a decline in the number of speakers, particularly among the younger generation. Language preservation through printed dictionaries is considered ineffective due to limited accessibility and the time required to search for vocabulary. This study aims to develop a Flutter-based Muna Dictionary application and implement the Levenshtein Distance algorithm to recommend relevant vocabulary even when users make typing errors. The research employed the Agile method with four sprints covering planning, implementation, testing, and documentation. The results show that the Muna Dictionary application was successfully developed, and all features functioned according to the system requirements. The implementation of the Levenshtein Distance algorithm was able to provide appropriate vocabulary recommendations for user typing errors, with an average execution time of 4 milliseconds on a dataset of 2,000 entries. The testing results indicate that the UAT for general users achieved an average score of 4.62 out of 5.00, categorized as excellent, while the UAT for administrators achieved an average score of 4.22 out of 5.00, also categorized as excellent. In addition, the application achieved a 100% success rate in Black Box Testing.
| Item Type: | Thesis (Skripsi) |
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| Additional Information: | [No.Panggil: 2210511005] [Pembimbing 1: Ridwan Raafi’udin] [Pembimbing 2: I Wayan Rangga Pinastawa] [Penguji 1: Musthofa Galih Pradana] [Penguji 2: Kharisma Wiati Gusti] |
| Uncontrolled Keywords: | Agile; Dictionary; Flutter; Levenshtein Distance; Muna Language |
| Subjects: | Q Science > Q Science (General) Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Ilmu Komputer > Program Studi Informatika (S1) |
| Depositing User: | SUFYAN AL AFI |
| Date Deposited: | 27 Aug 2026 07:53 |
| Last Modified: | 27 Aug 2026 07:53 |
| URI: | http://repository.upnvj.ac.id/id/eprint/50812 |
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