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All Journal Teknika CESS (Journal of Computer Engineering, System and Science) Indonesian Journal on Software Engineering (IJSE) Jurnal Teknik Komputer AMIK BSI Jurnal Khatulistiwa Informatika Paradigma Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) Techno Nusa Mandiri : Journal of Computing and Information Technology Jurnal Mantik Penusa KEK (Kajian Ekonomi dan Keuangan) Journal of Information System, Applied, Management, Accounting and Research JSAI (Journal Scientific and Applied Informatics) Jurnal Mantik INTI Nusa Mandiri Jurnal Hutan Pulau-Pulau Kecil : Jurnal Ilmu-Ilmu Kehutanan dan Pertanian Jurnal Infortech Jurnal Manajemen Informatika Jayakarta Reputasi: Jurnal Rekayasa Perangkat Lunak Paradigma Prawara Jurnal Pengabdian Masyarakat Jurnal Infortech
Bakhtiar Rifai
Universitas Bina Sarana Informatika
Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Public Health Social Sciences

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Journal : paradigma

 1 
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (859.489 KB) | DOI: 10.31294/p.v23i2.9515

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (918.362 KB) | DOI: 10.31294/p.v23i1.8756

Abstract

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.
Algoritma Apriori Sebagai Solusi Kontrol Persediaan Suku Cadang Mobil PT. Buanasakti Aneka Motor Jakarta Normah Normah; Bakhtiar Rifai; Pita Sari
Paradigma Vol 22, No 2 (2020): Periode September 2020
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (46.066 KB) | DOI: 10.31294/p.v22i2.6530

Abstract

PT. BuanaSakti Aneka Motor is one of the car distributor agents located at warung buncit raya street No. 109 Duren Tiga, South Jakarta. Everyday the data piles is increase more and longer. PT. BuanaSakti Aneka Motor sometimes has difficulty to knowing how many spare parts occur in one transaction, so data or new stock information is difficult to find sometimes experiencing errors. To find out which products have the most sales and how they relate to one another, a priori algorithm method and the help of Rapidminer Tools are needed to produce associative rules. From the results of the discussion and analysis of the data it can be concluded that the application of a priori algorithm in determining the combination of itemset with a minimum support of 25% and a minimum of 60% confidence found 2 association rules, where the highest value of support and confidence is a radiator with a minimum stop lamp support of 26.92% while the minimum confidence is 64.65% and the oil filter with the minimum stop light support is 35.32% while the minimum confidence is 61.58%. 
Co-Authors Afitta Afitta Agus Saifullah Amarulloh Ripai Andi Sanjaya Arga Putra Rafi Ari Al Amin Asep Nurwanda Azlina, Yunidyawati Azzahra, Rizky Nur Andhini Bimo Danang Febryanto Cahya, Fani Nurona Dedi Sutomo Dian Ambar Wasesha Eka Saputra Eko Supriyanto Emirotun Nafisah Erwin Yuniarto Esron Nainggolan Fani Nurona Cahya Fariz Al Hafiz Febriyanti, Eka Nur Feri Yulianto Hananda Nabil Farras Herman Kuswanto Imam Dody Susanto Insan Kurnia Kardina, Jessi Raisa Malik Abdul Aziz Mochammad Dhanu Ramadhan Nanang Nuryadi Nazmi Uliah Normah Normah Normah Normah Normah normah normah Normah Normah Normah Normah Normah Normah Normah Normah Normah Normah Normah Normah, Normah Nova Reflianah Numan Musyaffa Nurmawati Nurmawati Pita Sari Pratiwi Indah Widiastuti Rani Irma Handayani Reza Bagaskoro Ricky Sastra Rifki Maulana Ruhul Amin Satriawan, Muhammad Husein Satrio Vambudi Solehudin Solehudin Sopiyan Dalis Sudibyo, Aji Sumarna Surya Gunadi Susafa'ati Susafaáti susafaati Susafa’ati Taufik Asra Taufik Rahman Taufik Rahman Tia Maesyaroh Udin, Komar Vito Triantori Vito Triantori Wida Prima Mustika Widiastuti, Pratiwi Indah Yesi Ratna Sari