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Prianto, Cahyo
Universitas Logistik Dan Bisnis Internasional
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Journal : MULTINETICS

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ANALISIS SENTIMEN KELUHAN PEGAWAI DENGAN MENGGUNAKAN MACHINE LEARNING Syahra, anita alfi; Mohamad Nurkamal Fauzan; Cahyo Prianto
MULTINETICS Vol. 10 No. 2 (2024): MULTINETICS Nopember (2024)
Publisher : POLITEKNIK NEGERI JAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/multinetics.v10i2.6894

Abstract

PT Dirgantara Indonesia (PTDI) faces challenges in managing employee complaints. This research aims to improve PTDI employee complaint management through sentiment analysis using the Naive Bayes algorithm with the CRISP-DM method. The stages applied include business understanding, data understanding, data preparation, modeling, evaluation and implementation. Employee complaint data is collected and processed using stop words removal and tokenization techniques. The Naive Bayes model is trained and evaluated using accuracy, precision, recall and F1-score metrics. The research results show that the Naive Bayes model is effective in grouping employee complaints into mild and severe categories. The model has an accuracy of 88.5%. The implementation of this sentiment analysis system is expected to help PTDI management handle employee complaints more quickly and precisely, increasing satisfaction and productivity. This research also contributes to the development of the science of sentiment analysis and machine learning, as well as its application in complaint management in companies. With this system, PTDI management can identify and prioritize complaints that require immediate handling, increasing operational efficiency and service quality to employees. This research provides practical solutions for PTDI and adds insight into the application of machine learning in managing employee complaints.
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 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