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All Journal International Journal of Evaluation and Research in Education (IJERE) ComEngApp : Computer Engineering and Applications Journal Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmu Komputer dan Informasi Jurnal Ilmiah Informatika Komputer Jurnal Buana Informatika Perfecting a Video Game with Game Metrics Telematika : Jurnal Informatika dan Teknologi Informasi Scientific Journal of Informatics Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Jurnal Fourier InfoTekJar (Jurnal Nasional Informatika dan Teknologi Jaringan) Proceeding of the Electrical Engineering Computer Science and Informatics JPSE (Journal of Physical Science and Engineering) Jurnal Teknologi dan Sistem Komputer Jurnal Informatika INTEGER: Journal of Information Technology Jurnal Matematika: MANTIK JURNAL MEDIA INFORMATIKA BUDIDARMA BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Jurnal Informatika Universitas Pamulang JUMANJI (Jurnal Masyarakat Informatika Unjani) Mathvision : Jurnal Matematika Building of Informatics, Technology and Science Transformasi : Jurnal Pendidikan Matematika dan Matematika Jurnal Mnemonic Majalah Ilmiah Matematika dan Statistika (MIMS) Dinamika Informatika: Jurnal Ilmiah Teknologi Informasi JUSTIN (Jurnal Sistem dan Teknologi Informasi)
Dian Candra Rini, Dian Candra
Universitas Islam Negeri Sunan Ampel
Astronomy Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Transportation

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Journal : Jurnal Buana Informatika

 1 
Analisis Sentimen Ulasan Aplikasi Jamsostek Mobile Menggunakan Metode Support Vector Machine Vina Fitriyana; Lutfi Hakim; Dian Candra Rini Novitasari; Ahmad Hanif Asyhar
Jurnal Buana Informatika Vol. 14 No. 01 (2023): Jurnal Buana Informatika, Volume 14, Nomor 1, April 2023
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v14i01.6909

Abstract

Sentiment Analysis of Jamsostek Mobile Application Reviews Using the Support Vector Machine Method. Today's technology is evolving quickly, leading to new developments that have helped produce JMO and other mobile applications that can be useful to Indonesians. The reviews or comments in the JMO can be used as a gauge for quality and user satisfaction. This study aims to analyze the quality of JMO applications and classify reviews or opinions into positive, negative, and neutral categories through sentiment analysis. The Support Vector Machine method is used in this analysis process with a linear kernel approach to determine the level of accuracy of classifying JMO application reviews. Research shows that classifying the SVM method against sentiment analysis of reviews or JMO application reviews produces the best accuracy scores, obtaining results with accuracy of 96%, precision of 92%, recall of 96%, and f1-score of 94%, while for the results of most reviews are positive category reviews with a total of 17.571.Keywords: sentiment analysis, JMO, SVM, linear kernel   Perkembangan pesat teknologi saat ini memunculkan inovasi baru untuk menciptakan berbagai aplikasi mobile yang dapat memberi kemudahan bagi masyarakat Indonesia, salah satunya yaitu JMO. Penelitian ini bertujuan untuk menganalisis kualitas aplikasi JMO dan mengklasifikasikan ulasan atau opini kedalam kategori positif, negatif dan netral melalui analisis sentimen. Metode Support Vector Machine digunakan pada proses analisis ini dengan pendekatan kernel linear untuk mengetahui tingkat akurasi dari pengklasifikasian ulasan aplikasi JMO tersebut. Penelitian menunjukkan bahwa pengklasifikasian metode SVM terhadap analisis sentimen ulasan atau review aplikasi JMO menghasilkan nilai akurasi terbaik, didapatkan hasil dengan accuracy 96%, precision 92%, recall 96%, dan f1-score 94%, sedangkan untuk hasil ulasan terbanyak adalah ulasan berkategori positif dengan jumlah 17.571.Kata Kunci: analisis sentimen, JMO, SVM, kernel linear
Classification of Cumulonimbus Cloud Formation based on Himawari Images using Convolutional Neural Network model Googlenet Mohammad Rizal Abidin; Dian candra Rini Novitasari; Hani Khaulasari; Fajar Setiawan
Jurnal Buana Informatika Vol. 14 No. 02 (2023): Jurnal Buana Informatika, Volume 14, Nomor 2, Oktober 2023
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24002/jbi.v14i02.7417

Abstract

Cumulonimbus clouds (Cb) are dangerous for many human activities. To reduce this effect, a system to classify formations is needed. The formation of Cb clouds can be seen in the Himawari-8 IR image. This research aimed to create a Cb cloud classification system with Himawari-8 IR Enhanced imagery using the GoogleNet model CNN method. The total data used was 2026 image data. Parameter testing was carried out on the CNN GoogleNet model in this study, namely a data distribution ratio of 90:10 and 80:20. The probability of dropout is 0.6, 0.7, and 0.8. and batch sizes of 8, 16, 32, and 64. The trials conducted in this study yielded a sensitivity value of 100.00%, an accuracy of 99.00%, and a specificity of 99.60% obtained from the experimental data distribution of 90:10, probability 0.8, and batch size 8.
Co-Authors Abdulloh Hamid Abdulloh Hamid Adam Fahmi Khariri Adelia Damayanti Adyanti, Deasy Ahmad Hanif Asyhar Ahmad Hanif Asyhar Ahmad Hidayatullah Ahmad Lubab Ahmad Yusuf Ahmad Zoebad Foeady Ahmad Zoebad Foeady Alvin Nuralif Ramadanti Arifin, Ahmad Zaenal Aris Fanani Aris Fanani Chalawatul Ais Deasy Adyanti Dewi Sulistiyawati Dilla Dwi Kartika Dina Zatusiva Haq Dina Zatusiva Haq Diva Ayu Safitri Nur Maghfiroh Elen Riswana Safila Putri Evi Septya Putri Fahriza Novianti FAJAR SETIAWAN Fajar Setiawan Fajar Setiawan Fajar Setiawan Fajar Setiawan Faris Mushlihul Amin Ferryan, Dhandy Ahmad Firmansjah, Muhammad Foeady, Ahmad Zoebad Galuh Andriani Ganeshar B.D. Prasanda Gede Gangga Wisnawa Gita Purnamasari R Hani Khaulasari Hanimatim Mu'jizah Ifadah, Corii Ilmiatul Mardiyah Indra Ariyanto Wijaya Irkhana Indaka Zulfa Jauharotul Inayah Kusaeri Kusaeri Luluk Mahfiroh Lutfi Hakim Lutfi Hakim Luthfi Hakim M. Hasan Bisri Mayandah Farmita Moh. Hafiyusholeh Moh. Hafiyusholeh Moh. Hafiyusholeh Moh. Hafiyusholeh Mohammad Lail Kurniawan Mohammad Rizal Abidin Monika Refiana Nurfadila MUHAMMAD FAHRUR ROZI Muhammad Fahrur Rozi Muhammad Syaifulloh Fattah Muhammad Thohir Musfiroh Musfiroh Nanang Widodo Nanang Widodo Nanang Widodo Nisa Trianifa Noviati Maharani Sunariadi Noviati Maharani Sunariadi Nur Afifah Nur Hidayah Nurissaidah Ulinnuha Nurissaidah Ulinnuha Nurissaidah Ulinnuha Putri Wulandari Putroue Keumala Intan Putroue Keumala Intan Putroue Keumala Intan Putroue Keumala Intan Rafika Veriani Ratnasari, Cristanti Dwi RIFA ATUL HASANAH Rifa Atul Hasanah Rozi, Muhammad Fahrur Sari, Ghaluh Indah Permata Setiawan, Fajar Siti Nur Fadilah Siti Nur Fadilah Siti Ria Riqmawatin Suwanto Suwanto Suwanto Suwanto Tasya Auliya Ulul Azmi Thohir, Muhammad Ulinnuha, Nurissaidah Umi Masruroh Kusman Unix Izyah Arfianti USWATUN KHASANAH Utami, Tri Mar'ati Nur Veriani, Rafika Vina Fitriyana Wanda N.P. Sunaryo Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Wika Dianita Utami Dianita Utami Yasirah Rezqita Aisyah Yasmin Yuni Hariningsih Yuniar Farida Yuniar Farida, Yuniar Yuyun Monita Yuyun Monita Zulfa, Elok Indana