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PENGGUNAAN SPELLING CORRECTION DENGAN METODE PETER NORVIG DAN N-GRAM Ricky Martin; Dali Santun Naga; Viny Christanti Mawardi
Jurnal Ilmu Komputer dan Sistem Informasi Vol 9, No 1 (2021): JURNAL ILMU KOMPUTER DAN SISTEM INFORMASI
Publisher : Fakultas Teknologi Informasi Universitas Tarumanagara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1185.35 KB) | DOI: 10.24912/jiksi.v9i1.11591

Abstract

Typing errors in a document are human errors that are difficult to avoid as a result of which the message to be conveyed is not optimal. Using the Spelling Corrector feature is one way to check typing errors. The Spelling Corrector feature is able to provide only one word suggestion and correct it immediately. The combination of Peter Norvig and Ngram's methods was able to come up with one word suggestion and correct it right away. Both methods of looking for word suggestions use the probability value of the words that appear most frequently in the dictionary. The difference between the two methods is that Peter Norvig uses an algorithm that combines the delete, insert, replace, and transpose processes for the wrong word. Meanwhile, Ngram uses an algorithm that pays attention to the words before and after them based on the sentences in the dictionary. The dictionary used is a dictionary of word lists from KBBI and also a dictionary of sentences taken from several articles on the internet. This combination of methods was tested using 55 documents containing sentences that had one misspelled word. The test results show that the combination of the two methods provides an accuracy rate of 73,684% and a success rate of 37,037% for the total accuracy of this application is 69.09%. These two methods can be used to correct typing errors, although they cannot correct words with an error rate of two or more letters. This is because Peter Norvig was unable to correct a word with a two-letter error rate and needed a good corpus.
PENGEMBANGAN DESKRIPSI DESTINASI WISATA DI DESA WISATA BELITAR SEBERANG BERBASIS INTERNASIONAL Dhanu Ario Putra; Eli Diana; Merry Rullyanti; Viki Mahdiansyah; Ricky Martin
Jurnal Dehasen Untuk Negeri Vol 2 No 2 (2023): Juli
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jdun.v2i2.4319

Abstract

Desa wisata merupakan sebuah program pemerintah dalam upaya memberdayakan sumber daya alam desa agar dapat menjadi sebuah destinasi/tujuan wisata sehingga dapat membawa kebermasalahatan bagi masyarakat sekitarnya dan sekaligus sebagai upaya mengangkat potensi desa ke permukaan, baik di tingkat nasional maupun internasional. Namun pada prosesnya, tujuan ini menuntut dukungan dari berbagai aspek, baik SDM, teknologi, fasilitas, anggaran, hingga birokrasi pemerintah setempat sehingga potensi desa tersebut dapat tereksplor secara maksimal. Desa Belitar Seberang yang terletak di Kecamatan Sindang Kelingi, Kabupaten Rejang Lebong, Provinsi Bengkulu merupakan satu-satunya desa di Provinsi Bengkulu yang berhasil masuk 50 besar desa wisata terbaik ajang Anugerah Desa Wisata Indonesia (ADWI) tahun 2022 dari Menteri Pariwisata dan Ekonomi Kreatif/Kepala Badan Pariwisata dan Ekonomi Kreatif (Menparekraf/Kabaparekraf) Sandiaga Salahuddin Uno. Desa ini memiliki atraksi wisata alam, wisata budaya, dan wisata buatan yang sukses menarik perhatian wisatawan dibanding dengan desa-desa lainnya di Bengkulu.Tentu hal ini merupakan sebuah prestasi yang sangat membanggakan bagi Provinsi Bengkulu dan perlu dipertahankan bahkan ditingkatkan agar desa ini dapat dikenal lebih luas lagi. Untuk itu partisipasi pengelola desa wisata ini merupakan sangat dibutuhkan dalam kegiatan ini. Masyarakat dan pengelolah desa wisata di desa Belitar Seberang menyambut baik kegiatan ini dan bersedia memberikan kontribusi nyata. Kegiatan berlangsung dengan baik dan spot-spot wisata di desa sudah difasilitasi dengan deskripsi destinasi wisata dalam dua bahasa.
Pengaruh Real Time Interactivity dan Promotion Incentive Information terhadap Impulse Buying Behavior dengan Mediasi Perceived Trust Fashion di Live TikTok Ricky Martin; Heriyadi; Bintoro Bagus Purmono; Wenny Pebrianti
Mutiara: Jurnal Ilmiah Multidisiplin Indonesia Vol. 3 No. 2 (2025): JIMI - APRIL
Publisher : PT. PENERBIT TIGA MUTIARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61404/mutiara.v3i2.398

Abstract

The growing dominance of impulse buying within TikTok's live streaming commerce, particularly in the Fashion product segment, signifies a transformation in digital consumer behavior influenced by the dynamics of real-time interactivity and incentive-based promotional strategies. This study empirically examines the effects of real-time interactivity and promotion incentive information on impulse buying behavior, with perceived trust serving as a mediating variable that explains the psychological pathway between digital stimuli and spontaneous purchase decisions. Employing a quantitative approach with an associative causal design, data were collected from 231 active TikTok users in Indonesia and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) version 4.0. The analysis reveals that both exogenous variables significantly enhance the tendency for impulsive purchases, both directly and indirectly through the mediation of perceived trust. Responsive real-time interactions and exclusive, time-sensitive promotions effectively foster consumer trust in sellers, which subsequently accelerates unplanned buying behavior. These findings advance theoretical discourse in digital marketing literature by emphasizing the critical integration of interactivity, promotional stimuli, and affective trust mechanisms in shaping purchasing decisions within persuasive and simultaneous digital environments. The practical implications of this study offer strategic insights for businesses, encouraging the optimization of interactive features and promotional tactics to establish credibility and drive instant sales conversions in the context of e-commerce live streaming.