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All Journal Efisiensi : Kajian Ilmu Administrasi Jurnal Ilmu Komputer Jurnal Ilmiah Kursor Telematika SMATIKA Jurnal Informatika Upgris JURNAL MEDIA INFORMATIKA BUDIDARMA InComTech: Jurnal Telekomunikasi dan Komputer JURNAL ILMIAH INFORMATIKA JCES (Journal of Character Education Society) SINTECH (Science and Information Technology) Journal Martabe : Jurnal Pengabdian Kepada Masyarakat Jurnal Tekno Insentif IJISTECH (International Journal Of Information System & Technology) The IJICS (International Journal of Informatics and Computer Science) JUTEKIN (Jurnal Manajemen Informatika) JUMANJI (Jurnal Masyarakat Informatika Unjani) KOMPUTIKA - Jurnal Sistem Komputer Jurnal Manajemen Informatika Jurnal Sistem Cerdas Jurnal Tekno Kompak MULTINETICS Building of Informatics, Technology and Science Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika JATI (Jurnal Mahasiswa Teknik Informatika) Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Journal of Computer System and Informatics (JoSYC) JIKA (Jurnal Informatika) Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) IJISTECH Jurnal Informatika dan Teknologi Komputer ( J-ICOM) Journal of Research in Instructional Merpati JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Algoritma JOMLAI: Journal of Machine Learning and Artificial Intelligence Competitive Jurnal Informatika: Jurnal Pengembangan IT Jurnal Ilmiah Sistem Informasi The Indonesian Journal of Computer Science Smatika Jurnal : STIKI Informatika Jurnal
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Journal : JURNAL ILMIAH INFORMATIKA

ANALISIS SENTIMEN PERBANDINGAN LAYANAN JASA PENGIRIMAN KURIR PADA ULASAN PLAY STORE MENGGUNAKAN METODE DECISION TREE DAN RANDOM FOREST Dellavianti Nishfi Ilmiah Huda; Cahyo Prianto; Rolly Maulana Awangga
JURNAL ILMIAH INFORMATIKA Vol 11 No 02 (2023): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v11i02.7952

Abstract

Courier delivery is a crucial aspect of the e-commerce industry, and customer satisfaction with delivery services can significantly impact a company’s reputation, whether positive or negative. Therefore, sentiment analysis of customer reviews on the Play Store platform can provide valuable insights into the performance and acceptance of various courier delivery services available. This Study aims to conduct sentiment analysis on reviews of courier delivery services using two classification methods: Random Forest and Decision Tree. The first step in this research is data pre-processing, which includes text cleaning, tokenization, and the removal of irrelevant words. Subsequently, relevant features are extracted from the review texts using suitable feature extraction methods. Both Random Forest and Decision Tree methods are implemented to classify reviews from three companies: Pt X, Pt Y, and Pt Z, into two sentiment categories: positive and negative.The performance of both methods is evaluated using standard evaluation metrics. Furthermore, it is expected that this research will provide valuable information to the three e-commerce companies and courier service providers in improving the quality of their services based on customer feedback. Additionally, it can serve as a reference for consumers in choosing a courier delivery company that suits their needs.
ANALISIS SENTIMEN UNTUK MEMPREDIKSI HASIL CALON PEMILU PRESIDEN MENGGUNAKAN LEXICON BASED DAN RANDOM FOREST Oktaviami Manullang; Cahyo Prianto; Nisa Hanum Harani
JURNAL ILMIAH INFORMATIKA Vol 11 No 02 (2023): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v11i02.7987

Abstract

The Presidential Election is one of the crucial moments in Indonesian politics. To predict the election results, sentiment analysis methods can be used to evaluate public opinions through social media. One of the popular social media platforms nowadays is Twitter. As the Republic of Indonesia's Presidential Election approaches, there is an increasing number of tweets discussing the event. This situation creates a favorable opportunity to conduct sentiment analysis on the election campaign topic. There are various opinions from Twitter users with positive, neutral, and negative sentiments. The collected tweet data undergoes preprocessing, involving two main processes: cleaning and stemming. Therefore, sentiment analysis is necessary to understand the public's tendencies towards the election. The objective of this research is to obtain sentiment analysis of the text documents to determine positive or negative sentiments. Two methods, namely Random Forest and Lexion Based, are used to predict the presidential candidates' sentiments. Random Forest is employed to analyze sentiments in text data collected from various sources, including social media, news websites, and online forums. This method involves an ensemble of decision trees working collectively to classify sentiments as positive, negative, or neutral towards the Presidential Election candidates. On the other hand, Lexion Based is used to associate words in the text with specific sentiments.
Co-Authors Adiningrum, Nur Tri Ramadhanti Adiningrum, Nur Tri Ramadhanti Alfadian Owen Amalia, Fahriza Rizky Aminuyati Andarsyah, Roni Andi Tenri Wali Andri Fajar Sunandhar Arjun Yuda Firwanda Azzahra, Fedhira Syaila Putri Burhanudin Zuhri Dellavianti Nishfi Ilmiah Huda Dian Markuci Fahira Fahira Fedhira Fikri Aldi Nugraha Firwanda, Arjun Yuda Habib Abdul Rasyid Hanna Theresia Siregar Hanum, Nisa Harani, Nisa Hanum Harun Ar-Rasyid Helmi Azhar Hutabarat, Rizkyria Angelina Pandapotan Hutapea, Juwita Stefany Ilyas Tri Khaqiqi, M Indra Firmansyah Kamaluddin, Rendy Kezia Tirza Naramessakh Kezia Tirza Naramessakh Kishendrian, Hanan M Ilyas Tri Khaqiqi Mariana Rospilinda Siki Markuci, Dian Mohamad Nurkamal Fauzan Mubassiran Mubassiran, Mubassiran Muh Kusnadi Muhammad Ibnu Choldun Muhammad Nazhim Maulana Muhammad Rifqi Daffa Ulhaq Muhammad Yusril Helmi Setyawan Muhammad Yusuf, Hadi Nawaf Naofal Nico Ekklesia Sembiring Nisa Hanum Nisa Hanum Harani Nisa Hanum Harani Nisa Hanum Harani Nisa Hanum Harani Nisa Hanum Harani Nisa Hanum Harani Nisa Hanum Harani Nurkamal Fauzan, Mohamad Nurul Izza Hamka Nurul Izza Hamka Nurul Lutfiasih Oktaviami Manullang Oktaviami Manullang Pertiwi, Aryka Anisa Rahayu, Woro Isti Rd Nuraini Rd.Nuraeni Siti Fatonah Riza, Noviana Rolly Maulana Awangga Rolly Maulana Awangga, Rolly Maulana Roni Andarsyah Roni Andarsyah Roni Andarsyah Roni Andarsyah Rukmi Juwita Setiadi, Hilman Setyawan, Muhammad Yusril Helmi Shinta Amelia Shinta Amelia Sulaksono, Al Novianti Ramadhani Supriady, Supriady Syafrial Fachri Pane Syafrial Fachri Pane Syafrial Fachri Pane, Syafrial Fachri Syahra, anita alfi Vegita, Yola Zian Asti Dwiyanti Zuhri, Burhanudin