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All Journal Journal of Tropical Soils JURNAL INSTEK (Informatika Sains dan Teknologi)
NURBAITI, FITRI
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Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering Environmental Science

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KLASIFIKASI SENTIMEN MASYARAKAT TERHADAP KENAIKAN HARGA TIKET PESAWAT PADA TWITTER MENGGUNAKAN NAÏVE BAYES MARDEKA RAYA, AGUSTINA; NURBAITI, FITRI; SOFIA, DETIN
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 4 No 2 (2019): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (3818.672 KB) | DOI: 10.24252/instek.v4i2.11003

Abstract

Analisa sentiment atau opinion mining merupakan teknik yang digunakan untuk mengolah data yang didapatkan dari media sosial. Kenaikan harga tiket pesawat terjadi setelah adanya kecelakaan dari salah satu maskapai domestik. Imbas dari kecelakaan tersebut menyebakan semua tiket maskapai penerbangan Indonesia mengalami kenaikan. Banyak masyarakat yang menyayangkan dengan kenaikan tiket pesawat tersebut. Penelitian ini akan memanfaatkan data tweet pada twitter untuk menlihat persepsi masyarakat terhadap kenaikan harga tiket pesawat dengan menggunakan metode naïve bayes dan KNN dengan mengklasifikasikan sentimen sentiment positif, negative dan netral. Tingkat akurasi klasifikasi menggunakan naïve bayes sebesar 90.70% sedangkan tingkat akurasi dengan metode KNN sebesar 62.79%  Kata Kunci : Analisa Sentimen, Klasifikasi, Naïve bayes, Tiket Pesawat. 
Rice Quality and Yield at Various Application Times of Organic Rice Management System Syamsiyah, Jauhari; Ariyanto, Dwi Priyo; Herawati, Aktavia; Komariah, Komariah; Hartati, Sri; Nurbaiti, Fitri
JOURNAL OF TROPICAL SOILS Vol. 28 No. 1: January 2023
Publisher : UNIVERSITY OF LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5400/jts.2023.v28i1.9-15

Abstract

The higher national rice demand encourages various efforts to increase rice production. This increase in rice production occurs in line with increasing public awareness of healthy foods, especially organic rice. Rice field management with an organic system is expected to provide a higher yield and quality of rice. This study aims to determine the effect of the long-time application of an organic rice management system on rice yield and quality. Descriptive exploratory research is supported by laboratory analysis of samples of organic rice plants with three periods (10 years, 7 years, and 4 years), semi-organic and conventional. The parameters observed were dry harvested grain, dry milled grain, the weight of 1000 grains, unfilled grain, protein content, amylum, amylopectin, and reducing sugar. The most prolonged organic rice field management with the application of 10 years gives better results with a protein content of 6.14%, amylum 71.71%, and amylopectin 49.35%. While the application of organic farming for 7 years gives the highest rice yield, the difference is not confirmed with the application of organic 10 years, with the weight of dry grain harvest 10.44 Mg ha-1, dry milled grain 8.15 10.44 Mg ha-1, the weight of 1000 grains 24 g, and unfilled grain 3.8%.
Co-Authors Agustina Mardeka Raya AKTAVIA HERAWATI Dwi Priyo Ariyanto Jauhari Syamsiyah Komariah Komariah SOFIA, DETIN Sri Hartati