Article Per Year (5 Year)
p-Index From 2019 - 2024
0.408
P-Index
This Author published in this journals
All Journal J-SAKTI (Jurnal Sains Komputer dan Informatika) J-SAKTI (Jurnal Sains Komputer dan Informatika)
Kurnia Iswardani
Universitas Panca Marga Probolinggo
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Energy

Published : 2 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search

 1 
Klasifikasi Penanganan Keluhan Masyarakat Kota Probolinggo Menggunakan Algoritma Naive Bayes Dyah Ariyanti; Kurnia Iswardani; Silvia Rafidah
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.234

Abstract

Handling public complaints of Probolinggo city, known as “Laporo Rek”, requires more time to provide the report to the relevant office. Its caused by the administrators sometimes doesn't know where the Public complaints to addressed. Using the naïve Bayes algorithm in Text Mining for Public Complaints of Probolinggo city can help the administrators to work more effectively and efficiently. The processing data of Public Complaints of Probolinggo city through several stages of text mining, which are token, filter, steaming, and analyzing. After completed the stage, the data will be classified using the naïve Bayes algorithm. The naïve Bayes algorithm calculation will view the result of each data class of Public Complaints of Probolinggo city, which is entered by phone, text message complaints. The research using this method has resulted in accuray 95%; it means each public complaints of Probolinggo city can be classified by each government agency in Probolinggo.
Klasifikasi Penanganan Keluhan Masyarakat Kota Probolinggo Menggunakan Algoritma Naive Bayes Dyah Ariyanti; Kurnia Iswardani; Silvia Rafidah
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 4, No 2 (2020): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v4i2.234

Abstract

Handling public complaints of Probolinggo city, known as “Laporo Rek”, requires more time to provide the report to the relevant office. Its caused by the administrators sometimes doesn't know where the Public complaints to addressed. Using the naïve Bayes algorithm in Text Mining for Public Complaints of Probolinggo city can help the administrators to work more effectively and efficiently. The processing data of Public Complaints of Probolinggo city through several stages of text mining, which are token, filter, steaming, and analyzing. After completed the stage, the data will be classified using the naïve Bayes algorithm. The naïve Bayes algorithm calculation will view the result of each data class of Public Complaints of Probolinggo city, which is entered by phone, text message complaints. The research using this method has resulted in accuray 95%; it means each public complaints of Probolinggo city can be classified by each government agency in Probolinggo.
Co-Authors Dyah Ariyanti Silvia Rafidah