ANALISIS SENTIMEN APLIKASI E-GOVERENMENT PADA GOOGLE PLAY MENGGUNKAN ALGORITMA NAÏVE BAYES
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Abstract
E-gov is one of the innovations created by the government to be able to compete in the digital world. One government agency that has used e-gov is the Ministry of Spatial Planning/National Land Agency (ATR/BPN). in this study the authors used the Naïve Bayes Algorithm as a classification method to determine positive, negative, and also neutral sentiments. The labeling process shows that the touch my land application tends to get a neutral response which can be seen from the comparison of 4000 data, 2265 positive, 1453 negative and 211 neutral data. and the results of sentiment analysis testing using the Naïve Bayes Algorithm produce an accuracy of 81%, 78% precision, and 79% recall.
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References
[2] T. Nugroho, “Analisis E-Government Terhadap Pelayanan Publik Di Kementerian Hukum Dan Ham (Analysis Of E-Government To Public Services In The Ministry Of Law And Human Rights),” J. Ilm. Kebijak. Huk., Vol. 10, No. 3, Pp. 279–296, 2016.
[3] Yola Amanda Putri, Roni Ekha Putera, And Wewen Kusumi Rahayu, “Inovasi Pelayanan Informasi Melalui Aplikasi Sentuh Tanahku Pada Kantor Pertanahan Kota Administrasi Jakarta Utara,” J. Soc. Policy Issues, Vol. 2, No. 2, Pp. 1–9, 2022, [Online]. Available: Https://Doi.Org/10.35308/Xxxxx
[4] A. I. Tanggraeni And M. N. N. Sitokdana, “Analisis Sentimen Aplikasi E-Government Pada Google Play Menggunakan Algoritma Naïve Bayes,” Jatisi (Jurnal Tek. Inform. Dan Sist. Informasi), Vol. 9, No. 2, Pp. 785–795, 2022, Doi: 10.35957/Jatisi.V9i2.1835.
[5] N. F. Hidayah Et Al., “Penerapan Metode Naive Bayes Dalam Analisis Sentimen Aplikasi,” Vol. 6, No. 2, Pp. 679–683, 2022.
[6] F. Zamachsari, G. Vangeran Saragih, Susafa’ati, And W. Gata, “Analisis Sentimen Pemindahan Ibu Kota Negara Dengan Feature Selection Algoritma Naive Bayes Dan Support Vector Machine,” J. Resti (Rekayasa Sist. Dan Teknol. Informasi), Vol. 1, No. 3, Pp. 504–512, 2017.
[7] L. Ardiani, H. Sujaini, And T. Tursina, “Implementasi Sentiment Analysis Tanggapan Masyarakat Terhadap Pembangunan Di Kota Pontianak,” J. Sist. Dan Teknol. Inf., Vol. 8, No. 2, P. 183, 2020, Doi: 10.26418/Justin.V8i2.36776.
[8] A. Sofyan And S. Santosa, “Text Mining Untuk Klasifikasi Pengaduan Pada Sistem Lapor Menggunakan Metode C4.5 Berbasis Forward Selection,” J. Teknol. Inf., Vol. 12, No. 1, Pp. 74–83, 2016.
[9] R. Chauhan And H. Kaur, Predictive Analytics And Data Mining. 2015. Doi: 10.4018/978-1-4666-9562-7.Ch019.
[10] S. S. Hong, W. Lee, And M. M. Han, “The Feature Selection Method Based On Genetic Algorithm For Efficient Of Text Clustering And Text Classification,” Int. J. Adv. Soft Comput. Its Appl., Vol. 7, No. 1, Pp. 22–40, 2015.
[11] Robby Julius Ginting, “Analisis Kesulitan Belajar Siswa Pada Mata Pelajaran Matematika Materi Pecahan Biasa Kelas Iv Sd Internasional Putri Deli T.A 2018/2019,” Digit. Repos. Univers. Qual., Pp. 5–13, 2019, [Online].Available:Http://Portaluniversitasquality.Ac.Id:55555/Id/Eprint/490
[12] T. O. Sari, “Analisis Pengukuran Kualitas Aplikasi Sentuh Lawang Menggunakan Metode Tam ( Technology Acceptance Model ),” Pp. 1441–1453, 2022.
[13] Sulton Nur Hakim, “Analisis Sentimen Persepsi Pengguna Myindihome Menggunakan Metode Support Vector Machine (Svm) Dan Naive Bayes Classifier (Nbc),” Vol. 26, No. 2, Pp. 173–180, 2021, [Online]. Available: Http://Www.Ufrgs.Br/Actavet/31-1/Artigo552.Pdf
[14] W. Medhat, A. Hassan, And H. Korashy, “Sentiment Analysis Algorithms And Applications: A Survey,” Ain Shams Eng. J., Vol. 5, No. 4, Pp. 1093–1113, 2014, Doi: 10.1016/J.Asej.2014.04.011.
[15] O. C. A. Islama Ilahiyah, Muhammad Barja Sanjaya,S.T.,M.T., “Aplikasi Pemesanan Makanan Dan Minuman Berbasis Web Mobile, Studi Kasus : Coffe Pudak Bandung ( 2019) —,” Concept Commun., Vol. Null, No. 23, Pp. 301–316, 2019, Doi: 10.15797/Concom.2019..23.009.
[16] H. Abdurahman And A. R. Riswaya, “Aplikasi Pinjaman Pembayaran Aplikasi Pinjaman Pembayaran Secara Kredit Pada Bank Yudha Bhakti Stmik Mardira Indonesia, Bandung,” J. Comput. Bisnis, Vol. 8, No. 2, Pp. 61–69, 2014.
[17] R. F. Nurita, “Penerapan Layanan E-Government Dalam Perwujudan Good Governance Di Pemerintah Kota Malang,” J. Cakrawala Huk., Vol. 7, No. 2, Pp. 238–246, 2016, Doi: 10.26905/Idjch.V7i2.1914.
[18] D. Yosmita Praptiwi, “Analisis Sentimen Online Review Pengguna E-Commerce Menggunakan Metode Support Vector Machine Dan Maximum Entropy,” 2018.
[19] J. A. Septian, T. M. Fachrudin, And A. Nugroho, “Analisis Sentimen Pengguna Twitter Terhadap Polemik Persepakbolaan Indonesia Menggunakan Pembobotan Tf-Idf Dan K-Nearest Neighbor,” J. Intell. Syst. Comput., Vol. 1, No. 1, Pp. 43–49, 2019, Doi: 10.52985/Insyst.V1i1.36.
[20] A. Pranandha Syah, Adiwijaya, And S. Al Faraby, “Analisis Sentimen Pada Data Ulasan Produk Toko Online Dengan Metode Maximum Entropy Sentiment Analysis On Online Store Product Reviews With Maximum,” Proceeding Eng. ( E-Proceeding), Vol. 4, No. 3, Pp. 4632–4640, 2017.
[21] A. H. Hailitik, B. S. Djahi, And Y. Y. Nabuasa, “Klasifikasi Jurusan Menggunakan Metode Naïve Bayes Pada,” J. Komput. Dan …, Vol. 5, No. 2, Pp. 21–27, 2017, [Online]. Available: Http://Ejurnal.Undana.Ac.Id/Jicon/Article/View/361%0ahttp://Ejurnal.Undana.Ac.Id/Jicon/Article/Download/361/334
[22] G. T. Santoso, “Analisis Sentimen Pada Tweet Dengan Tagar #Bpjsrasarentenir Menggunakan Metode Support Vectore Machine (Svm),” Pp. 12–13, 2021.
[23] R. A. Saputra, A. R. Taufik, L. S. Ramdhani, R. Oktapiani, And E. Marsusanti, “Sistem Pendukung Keputusan Dalam Menentukan Metode Kontrasepsi Menggunakan Algoritma Naive Bayes,” Snit 2018, Vol. 1, No. 1, Pp. 106–111, 2018, [Online]. Available: Http://Seminar.Bsi.Ac.Id/Snit/Index.Php/Snit-2018/Article/View/31
[24] M. Syukri Mustafa, M. Rizky Ramadhan, And A. P. Thenata, “Implementasi Data Mining Untuk Evaluasi Kinerja Akademik Mahasiswa Menggunakan Algoritma Naive Bayes Classifier,” Citec J., Vol. 4, No. 2, Pp. 151–162, 2017.
[25] A. D. Hartanto And N. K. Fitriyani, “Analisis Sentimen Terhadap Tokoh Publik Menggunakan Support Vector Machine,” Means (Media Inf. Anal. Dan Sist., Vol. 5, No. 1, Pp. 8–12, 2018.
[26] L. Devita Putri, “Penerapan Pewarnaan Graf Menggunakan Algoritma Welch Powell Dengan Pemograman Pyhton Untuk Menyususn Jadwal Mata Pelajaran Di Smp Kanisius Pakem.,” 2021.
[27] A. N. Syahrudin And T. Kurniawan, “Input Dan Output Pada Bahasa Pemrograman Python,” J. Dasar Pemrograman Python Stmik, No. January, Pp. 1–7, 2018, [Online]. Available: Https://Www.Researchgate.Net/Publication/338385483
[28] F. Syadid, “Analisis Sentimen Komentar Netizen Terhadap Calon Presiden Indonesia 2019 Dari Twitter Menggunakan Algoritma Term Frequency-Invers Document Frequency (Tf- Idf) Dan Metode Multi Layer Perceptron (Mlp) Neural Network,” Skripsi Univ. Islam Negeri Syarif Hidayatullah Jakarta, P. 72, 2019.
[29] D. Pratmanto, R. Rousyati, F. F. Wati, A. E. Widodo, S. Suleman, And R. Wijianto, “App Review Sentiment Analysis Shopee Application In Google Play Store Using Naive Bayes Algorithm,” J. Phys. Conf. Ser., Vol. 1641, No. 1, 2020, Doi: 10.1088/1742-6596/1641/1/012043.
[30] D. S. Rachmad, “Evaluasi Usability Aplikasi Sentuh Tanahku Menggunakan Metode Heuristic Usability Evaluation Application Sentuh Tanahku Using Heuristic Method,” Vol. 5, Pp. 34–43.
[31] A. Alwasi’a, “Analisis Sentimen Pada Review Aplikasi Berita Online Menggunakan Metode Maximum Entropy (Studi Kasus: Review Detikcom Pada Google Play 2019,” Skripsi, 2020.
[32] R. Watrianthos, S. Suryadi, D. Irmayani, M. Nasution, And E. F. S. Simanjorang, “Sentiment Analysis Of Traveloka App Using Naïve Bayes Classifier Method,” Int. J. Sci. Technol. Res., Vol. 8, No. 7, Pp. 786–788, 2019.
[33] N. Herlinawati, Y. Yuliani, S. Faizah, W. Gata, And S. Samudi, “Analisis Sentimen Zoom Cloud Meetings Di Play Store Menggunakan Naïve Bayes Dan Support Vector Machine,” Cess (Journal Comput. Eng. Syst. Sci., Vol. 5, No. 2, P. 293, 2020, Doi: 10.24114/Cess.V5i2.18186.
[34] R. N. Devita, H. W. Herwanto, And