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All Journal E-Bisnis : Jurnal Ilmiah Ekonomi dan Bisnis CESS (Journal of Computer Engineering, System and Science) Proceeding of the Electrical Engineering Computer Science and Informatics Sistemasi: Jurnal Sistem Informasi Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Informatika Swabumi (Suara Wawasan Sukabumi) : Ilmu Komputer, Manajemen, dan Sosial IJCIT (Indonesian Journal on Computer and Information Technology) Bianglala Informatika : Jurnal Komputer dan Informatika Akademi Bina Sarana Informatika Yogyakarta Jurnal Teknik Komputer AMIK BSI Paradigma JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal Sains dan Informatika JITK (Jurnal Ilmu Pengetahuan dan Komputer) Jurnal Informatika Universitas Pamulang Jurnal Teknoinfo Infoman's: Jurnal Ilmu-Ilmu Manajeman dan Informatika METIK JURNAL
Windu Gata
STMIK Nusa Mandiri
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering Mathematics Social Sciences

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Journal : Paradigma

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Perancangan Validasi Permohonan Narasumber Pada Sistem Informasi Permohonan Narasumber Menggunakan Finite State Automata Fadillah Said; Dwi Andriyanto; Retno Sari; Windu Gata
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 (626.026 KB) | DOI: 10.31294/p.v22i2.8157

Abstract

The Law and Human Rights Research and Development Agency in carrying out its duties and functions provides services in the form of Providing Resource persons. Managing mail manually requires a long time and allows for document loss. This study aims to reduce the use of time, help minimize the loss of letters, and reduce errors in recording letters by storing them in a database in accordance with the specified format. In the design of the system will check the applicant's input and validate before the data is stored in the database using Finite State Automata (FSA) so that the data stored in accordance with the format specified. The implementation of this research is expected to be able to help the Law and Human Rights Research and Development Agency to reduce the use of time, help minimize the loss of letters, and reduce errors in recording letters in accordance with the specified format.
PENERAPAN ALGORITMA J48 UNTUK DETEKSI PENYAKIT TIROID Sarifah Agustiani; Ali Mustopa; Andi Saryoko; Windu Gata; Siti Khotimatul Wildah
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 (1113.664 KB) | DOI: 10.31294/p.v22i2.8174

Abstract

Impaired thyroid function is often difficult to identify because the symptoms are not specific. The symptoms of thyroid disorder are very similar to various complaints due to modern lifestyles so it is often overlooked. As a result, patients often do not notice a problem and do not have to consult a doctor. Therefore, there is a study that implements methods to predict the disease which will facilitate the patient in diagnosing and early detection of thyroid levels. This research aims to predict against thyroid disease with the data used is the secondary data obtained from the UCI repository, this data is about the patient data affected by thyroid disease, while the method uses the J48 algorithm because in some studies, the J48 algorithm is proven to have good performance in detecting an illness, as well as producing high value of Accuasy and AUC. The stage of data analysis is based on the CRISP-DM method while algorithm testing is done with Weka tools. Results of the test obtained an accuracy value of 99.645%, and a AUC value of 0.992 thus the accuracy has Excellent Classification level.
Analisis Sentimen Pengguna Aplikasi Duolingo Menggunakan Metode Naïve Bayes dan Synthetic Minority Over Sampling Technique Saifurrachman Chohan; Arifin Nugroho; Achmad Maezar Bayu Aji; Windu Gata
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 (510.885 KB) | DOI: 10.31294/p.v22i2.8251

Abstract

Belajar bahasa asing menjadi salah satu perhatian penting agar dapat bersaing dengan dunia internasional. Keterbatasan waktu dan biaya membuat aplikasi belajar bahasa inggris pada perangkat mobile lebih disukai sebagai media pembelajaran bahasa asing. Salah satu aplikasi yang sering di gunakan untuk belajar bahasa asing pada perangkat mobile adalah duolingo. Penelitian ini bertujuan untuk menemukan dan membandingkan klasifikasi dalam sentimen analisis dari ulasan pengguna aplikasi duolingo yang didapat dari google playstore. Text mining digunakan untuk membagi ulasan yang diberikan pengguna menjadi dua kelompok yaitu ulasan positif dan ulasan negatif. Rapid miner digunakan untuk mencari dan membandingkan dua metode klasifikasi yang berbeda antara dataset yang menggunakan Naive Bayes Classification saja dan data set yang menggunakan algoritma naive bayes dengan syntetic minority over-sampling technique (SMOTE). Hasil dari dua metode dalam penelitian ini menemukan bahwa hasil tertinggi didapatkan menggunakan algoritma naive bayes dengan syntetic minority over-sampling technique (SMOTE) dimana memiliki tingkat akuransi 91,95% dan AUC sebesar 0.740.
Co-Authors Abdul Hamid Abdul Latif Abdul Latif Abdussomad, Abdussomad Achmad Maezar Bayu Aji Achmad Rifai Ade Irma Rizmayanti Agustiani, Sarifah Akrom, Akrom Ali Mustopa, Ali Andi Saryoko Angelina Puput Giovani Ardiansyah Ardiansyah Ardiansyah Arifin Nugroho Chintamia Bunga Sari Dewi Cucu Ika Agustyaningrum Dedi Priansyah Deni Anugrah Sahputra Deni Gunawan Diantika, Sri Didi Rosiyadi Didi Rosiyadi Dwi Andriyanto Erni Erni Fachrurozi, Ahmad Fadillah Said Fajar Pramono Fakihotun Titiani Fariszal Nova Arviantino Grace Gata, Grace Hafez Aditya Hiya Nalatissifa Husain, Syepry Maulana Ikin Rojikin Imam Santoso Ipin Sugiyarto Irwan Herliawan Istiqal Hadi Jajang Jaya Purnama Jordy Lasmana Putra Kartika Handayani Khoirun Nisa Laela Kurniawati Lilyani Asri Utami, Lilyani Asri M. Rangga Ramadhan Saelan Mawadatul Maulidah Mufid Junaedi Muhammad Fahmi Julianto Muhammad Fahmi Julianto Muhammad Iqbal Muhammad Iqbal Muhammad Rifqi Firdaus Nadiyah Hidayati Nia Kusuma Wardhani Nuraeni Herlinawati Nurlaelatul Maulidah Paryanti, Atik Budi Prasetyo, Basuki Hari Rangga Pebrianto Ranu Agastya Nugraha Rendi Septian Retno Sari Rhini Fatmasari Ridan Nurfalah Ridwansyah Ridwansyah Riki Supriyadi Rizki Aulianita Safitri Linawati Saifurrachman Chohan Samudi Samudi Setiaji Setiaji Sidik Sidik Siswanto, Siswanto Siti Faizah Siti Khotimatul Wildah Siti Nurhasanah Nugraha Sofian Wira Hadi Sri Rahayu Sukmawati Anggraeni Putri Sukri Syafrudin Suwanda Aditya Aaputra Syaifur Rahmatullah Tri Rivanie Tuti Haryanti Wawan Kurniawan Widiastuti Widiastuti Yudhistira Yudhistira Yuliani, Yuri Yusuf Arif Setiawan