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All Journal Indonesian Journal on Software Engineering (IJSE) Jurnal Teknik Komputer AMIK BSI Paradigma Jurnal Manajemen Informatika Jayakarta Paradigma Prawara Jurnal Pengabdian Masyarakat

Normah Normah

Universitas Nusa Mandiri

Author-ID : 2551156

Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Materials Science & Nanotechnology Public Health Social Sciences

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Title

Analytical Hierarchy Process Dalam Pemilihan Handphone Android Murah Terbaik Normah Normah; Bakhtiar Rifai; Hananda Nabil Farras
Paradigma Vol 23, No 2 (2021): Periode September 2021
Publisher : LPPM Universitas Bina Sarana Informatika

Memiliki Handphone kini juga dianggap sebagai salah satu kebutuhan primer, pasalnya setiap orang hampir memilikinya dari berbagai merek yang terkenal mahal maupun yang murah yakni buatan dari negara cina maupun buatan dari negara lainnya. Dalam membuat suatu keputusan harus melalui banyak pertimbangan, agar tidak membuat keputusan yang sia-sia. Dengan banyaknya pilihan Handphone Android saat ini, membuat masyarakat bingung untuk memilih Handphone Android mana yang cocok untuk digunakan sehari-hari. Penelitian ini bertujuan untuk membuat sistem pendukung keputusan pemilihan Handphone Android dengan menggunakan metode Analytical Hierarchy Process (AHP) yang dapat menyelesaikan masalah dengan cara membandingkan antara Handphone Android Murah yang satu dengan yang lainnya. Adapun kriteria yang dipakai adalah Harga, Ukuran Layar, Chipset, RAM, Kapasitas Internal Storage, Kamera, Kapasitas Baterai. Hasil dari penelitian ini berupa kesimpulan perhitungan data dari kuesioner yang di isi oleh responden yaitu masyarakat umum untuk pengambilan keputusan yang terbaik dalam memilih Handphone Android murah.

Analisis Sentimen Opini Publik Terhadap Penerapan Kebijakan Social Distancing Dalam Pencegahan Covid-19 Bakhtiar Rifai; Normah Normah; Bimo Danang Febryanto; Feri Yulianto; Nova Reflianah
Paradigma Vol 23, No 1 (2021): Periode Maret 2021
Publisher : LPPM Universitas Bina Sarana Informatika

The last few months, Indonesia and the world are being hit by a disaster caused by the covid-19 virus, which resulted in a global pandemic that has infected more than one million human beings, because of this many countries have begun to implement various policies, including Indonesia, which is currently is implementing social distancing and PSBB, the application of which raises the pros and cons of people from all fields, to find out the response and response of the community related to the policy, a survey is needed to analyze the positive and negative comments, which are on Twitter, to analyze the response of the community can be done with text mining, text mining is the process of finding the meaning of an unstructured text or writing, to analyze the response of the community data taken from social media Twitter in the form of comments / tweets with a total of 400 comments and divided into 200 positive sentiment comments in 200 negative sentiment comments, the data is processed using the SVM classification method and will be compared with the SVM classification by PSO feature selection, the text preprocessing used is tokenize, transform cases, stopword filter and generate n-grams, and for the word weighting process using tf-idf , the accuracy of the SVM classification without PSO is 67.00% with the AUC value obtained is 0.774 and the accuracy of the SVM classification with PSO is 98.25% with the AUC value of 0.999, from the results the SVM with PSO feature selection is better in classifying sentiments than SVM without PSO feature selection.

Co-Authors Arinda Salbinda Bakhtiar Rifai Bakhtiar Rifai Bimo Danang Febryanto Esron Nainggolan Feri Yulianto Friska Sihaloho Hananda Nabil Farras Nova Reflianah Nurfitriani Nurfitriani Ruhul Amin Sifa Nur Utami Siti Nurajizah Susafa'ati Susafaáti

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