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All Journal JURNAL INTEGRASI JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jurnal of Applied Multimedia and Networking Jurnal Pengabdian kepada Masyarakat Politeknik Negeri Batam
Hilda Widyastuti
Politeknik Negeri Batam
Arts Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mechanical Engineering Other

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Journal : JURNAL INTEGRASI

 1 
Analisis Pengaruh Nilai Ujian Masuk terhadap Indeks Prestasi Mahasiswa Hilda Widyastuti
JURNAL INTEGRASI Vol 2 No 1 (2010): Jurnal Integrasi - April 2010
Publisher : Politeknik Negeri Batam

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Pada ujian masuk perguruan tinggi X, diujikan dua mata ujian, yaitu matematika dan bahasa Inggris. Penelitian ini bertujuan untuk mengetahui keefektifan soal-soal yang digunakan sebagai sarana seleksi dan mengetahui batas bawah nilai peserta ujian yang bisa diterima. Data-data yang digunakan meliputi data nilai ujian masuk dan data indeks prestasi(IP) semester 1. Data-data tersebut adalah data numerik. Penelitian ini menggunakan suatu metode prediksi, yaitu metode regresi linier, disesuaikan dengan tujuan yang ingin dicapai dan data yang digunakan, Dari hasil eksperimen disimpulkan bahwa metode regresi linier bisa digunakan sebagai alat untuk menganalisis pengaruh nilai ujian masuk terhadap IP mahasiswa. Dari tujuh paket soal yang ada, empat paket soal bisa digunakan sebagai sarana seleksi yang efektif, sehingga dapat digunakan kembali pada ujian-ujian tahun selanjutnya. Sedangkan informasi batas bawah nilai peserta ujian, disediakan oleh dua dari tujuh paket soal yang ada.
Aplikasi Opinion Mining dengan Algoritma Naïve Bayes untuk Menilai Berita Online Daniel Pakpahan; Hilda Widyastuti
JURNAL INTEGRASI Vol 6 No 1 (2014): Jurnal Integrasi - April 2014
Publisher : Politeknik Negeri Batam

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Opinion mining is the process of understanding, extracting and processing textual data automatically to get the sentiment of information contained in an opinion sentence. One of text mining methods that can be used to solve the problem of opinion mining is the Naïve Bayes Classifier (NBC). Source data to be processed in the process of data classification is the opinion or comment on the news online. Before the opinion or comment data is processed into the classification process, the first step that must be passed is text processing. Text processing includes tokenizing, filtering, and stemming. The next stage, producing probabilistic models whose value will be used in classification process. The core process of the classification is determining the highest probability of each category. If the results indicate the probability Bayes comments for positive cate gory is larger then the comment, then the comments is categorized as a positive opinion and vice versa.
Aplikasi Pendeteksi Opini Spam Hilda Widyastuti; Ari Wibowo
JURNAL INTEGRASI Vol 6 No 1 (2014): Jurnal Integrasi - April 2014
Publisher : Politeknik Negeri Batam

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Opinion mining aims to determine an opinion category, positive opinion, negative opinion, or neutral. Opinion mining implementation on public opinions, produces a percentage summary of positive opinions, negative opinions, or neutral from reader. In online political news context, this summary has advantage for readers to understand political situation which changed very fast and has advantage for online news manager to know respond from society towards presented news. Actually reader‟s opinion also can be used to influenced public opinion, motivate appearance mislead spam opinion. Spam opinion must be detected in opinion mining, further spam op inion will be ignored. This research purpose is opinion spam detection. This research used two methods, comments duplication checking and aberrant behavior detection. Duplication checking is done by comparing each existing comments on all articles by using the cosine similarity. This research can find some spam opinions by those methods.
Co-Authors Afif, Iqbal Ari Wibowo Daniel Pakpahan Dwi Ely Kurniawan Failasuf, Banu Fauziah Mahmuda Feby, Feby Festy Winda Sari Haikal, M. Taufiq Maya Armys Roma Sitorus Muchamad Fajri Amirul Nasrullah Nizan, Muhamad Sahrul Siskha Handayani, Siskha Swono Sibagariang Try Satria Amanattullah