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Sebastianus A. S. Mola
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Computer Science & IT

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NAZIEF-ADRIANI STEMMER DENGAN IMBUHAN TAK BAKU PADA NORMALISASI BAHASA PERCAKAPAN DI MEDIA SOSIAL Katarina N. Lakonawa; Sebastianus A. S. Mola; Adriana Fanggidae
J-Icon : Jurnal Komputer dan Informatika Vol 9 No 1 (2021): Maret 2021
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v9i1.3749

Abstract

The use of non-standard language is increasingly prevalent in communication on social media. The use of indefinite language is not limited to sentences, clauses, or phrases but also word usage. In this study, the nonstandard word (NSW) will be normalized to the Indonesian standard word (SW). The Nazief-Adriani stemmer (NAS) method was developed into a nonstandard stemmer (NSS) by increasing its ability to detect non-standard additives. The Needleman-Wunsch similarity algorithm is used to weight the matches. The test results with the Mean Reciprocal Rank (MRR) of 3,438 NSW found that the use of NSS with the number of queries = 9 (Q = 9) had the highest of 79.26% with an average of 50.48%. Meanwhile, MRR testing using NAS with Q = 9 got the highest result of 72.87% and an average of 47.23%. Of the two MRR tests carried out, there were 3 letters that had the highest stemming results, both in tests using NAS and using NSS, namely the initial letters r, f and j. The most significant increase in MRR value occurs in the initial letters 'd', 'n' and 't' which are the initial letters of some non-standard affixes.
PENENTUAN KESESUAIAN LAHAN PERTANIAN TANAMAN CABAI MENGGUNAKAN METODE NAÏVE BAYES DI KABUPATEN KUPANG Welmy Sinlae; Sebastianus A. S. Mola; Nelci Dessy Rumlaklak
J-Icon : Jurnal Komputer dan Informatika Vol 9 No 1 (2021): Maret 2021
Publisher : Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jicon.v9i1.3848

Abstract

The chili plant is one of the plants cultivated in East Nusa Tenggara (NTT). Kupang Regency is one of the chili producing areas in NTT. Overall chili production in Kupang Regency from 2019 to 2020 has increased. However, the increase in production has not been maximized considering the large amount of land that has not been used as agricultural land. Therefore we need a system that helps in determining the suitability of agricultural land for planting chilies. In this research case-based reasoning (CBR) in determining the suitability of agricultural land for chili plants. The method used in this research is Naïve Bayes with 7 criteria, namely, rainfall, drainage, soil texture, soil depth, C-organic, land slope and the danger of a disaster. The process of finding a solution begins by eliminating irrelevant data using the Naive Bayes method and continues with ranking the best similarity values ​​using KNN. Based on the test results with 110 cases of chili fields, the highest accuracy result is 92.2%, and the average accuracy result of the entire fold is 89.1%.
Co-Authors Adriana Fanggidae Adriana Fanggidae Katarina N. Lakonawa Nelci Dessy Rumlaklak Welmy Sinlae