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All Journal Jurnal Penelitian Tanaman Industri J-SAKTI (Jurnal Sains Komputer dan Informatika) Bahtera Indonesia; Jurnal Penelitian Bahasa dan Sastra Indonesia Buletin Penelitian Tanaman Rempah dan Obat J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Pengajaran Sekolah Dasar
NUR AJIJAH, NUR
Balai Penelitian Tanaman Industri dan Penyegar Jalan Raya Pakuwon - Parungkuda Km.2 Sukabumi 43357
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Energy Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Journal : J-SAKTI (Jurnal Sains Komputer dan Informatika)

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Klasifikasi Teks Mining Terhadap Analisa Isu Kegiatan Tenaga Lapangan Menggunakan Algoritma K-Nearest Neighbor (KNN) Ajijah, Nur; Kurniawan, Adi; Susilawati, S
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 7, No 1 (2023): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v7i1.589

Abstract

Information and communication technology at this time is developing very rapidly, including in the easier dissemination of information. With the sophisticated technology in conveying information, it is possible that there is information that is not certain of its truth. The issue that occurs is due to the discrepancy of expectations expected by distributors, kiosks, and farmers.  The amount of issue data obtained greatly affects the efficiency of the results that will be obtained. Therefore, it is necessary to have a text analysis  to find out the issues spread in the field regarding the services of products and services provided by PT XYZ. In this study, it applied the CRISP-DM research stages and the application of the K-Nearest Neighbor (KNN) algorithm  which showed that the resulting accuracy rate was 93.88% with data of 2,500 data. And the highest precission value is obtained by the payment qualification of 98.67%.
Co-Authors Adi Kurniawan Agus Nasihin Budi Martono Imam Kurniawan, Imam Imas Juidah Kurniyah, Yayah Nurliani Bermawie Rudi Setiyono, Rudi Septian Maulana Sitti Fatimah Syahid SUSI PURWIYANTI, SUSI Susilawati, S Teguh Prasetyo