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All Journal JTIM : Jurnal Teknologi Informasi dan Multimedia ILKOMNIKA: Journal of Computer Science and Applied Informatics
Fiqih Ainul Qhabib
Universitas Nahdlatul Ulama Blitar
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management

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Komparasi Algoritma Naive Bayes dan Decision Tree Untuk Memprediksi Lama Studi Mahasiswa Indera Cahyo Wibowo; Abd. Charis Fauzan; Marshella Dwi Putri Yustiana; Fiqih Ainul Qhabib
ILKOMNIKA: Journal of Computer Science and Applied Informatics Vol 1 No 2 (2019): Volume 1, Nomor 2, Desember 2019
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v1i2.21

Abstract

Penelitian ini bertujuan memprediksi lama studi mahasiswa lulus tepat waktu atau terlambat lulus. Data yang digunakan yaitu: Gender, Status Mahasiswa, Nilai, dan Beasiswa dari semester awal sampai semester akhir di tahun ajaran 2018 – 2019. Penelitian ini menggunakan 2 metode, untuk metode yang pertama adalah Naïve Bayes dan yang kedua adalah Decision Tree. Gunakan semua data yang telah diperoleh dan hitung dengan kedua metode sampai mendapatkan hasil akhir dan akurasinya lalu komparasikan keduanya. Hasil pengkomparasian dari data dan menggunakan dua metode perhitungan keakurasiannya yaitu 30% untuk Naïve bayes, dan 55% untuk metode Decision Tree. Dari komparasi menggunakan dua metode dapat diambil kesimpulan bahwa metode Decision Tree memiliki persentase keakuratan yang lebih tinggi dibandingkan Naïve Bayes sehingga dapat dikatakan metode Decision Tree lebih akurat dan lebih detail daripada Naïve Bayes.
Implementasi Algoritma Term Frequency Inverse Document Frequency (TF-IDF) dalam Menganalisis Sentimen Masyarakat Terhadap Covid-19 Varian Omicron Fiqih Ainul Qhabib; Abd. Charis Fauzan; Harliana Harliana
JTIM : Jurnal Teknologi Informasi dan Multimedia Vol 4 No 4 (2023): February
Publisher : Puslitbang Sekawan Institute Nusa Tenggara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35746/jtim.v4i4.233

Abstract

The latest variant was detected on November 24, 2021, namely the Omicron variant WHO said, Omicron was one of the Covid-19 variants that had mutated, with a very fast spread rate. The Government Republic of Indonesia has officially banned all foreigners from entering Indonesia, both those who have done so travel or come from countries exposed to the Omicron variant. This study uses data that has been processed using Netlytic online website. Netlytic analyzes text and visualizes public online conversations on social media sites. text preprocessing has several stages, namely case folding, tokenizing, stopword, stemming. Data analysis is the stage to classify words into positive, negative, or neutral sentiment classes. the last step is calculating the weights using the tf-idf method. It is proven from the DF value which reaches 628 words in one document, the D/DF value is 0.39 and the log D/DF is -0.41. The TF-IDF method can be taken in outline, namely it is easy to calculate frequency and relevance occurrence of words in a document. The TF-IDF method produces output according to user specifications, but this method takes a long time for large amounts of data.
Co-Authors Abd. Charis Fauzan Harliana Harliana Indera Cahyo Wibowo Marshella Dwi Putri Yustiana