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Journal : Xplore: Journal of Statistics

Analisis Kepuasan Pelayanan dan Literasi TIK Pengunjung Dinas-Dinas di Kota Bogor Ryska Putri Madyasari; Anang Kurnia; Rahma Anisa; Yani Nurhadryani
Xplore: Journal of Statistics Vol. 8 No. 1 (2019): 30 April 2019
Publisher : Department of Statistics, IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/xplore.v8i1.152

Abstract

Determining Public Satisfaction Index using analysis of Importance Performance Analysis (IPA) and Customer Satisfaction Index (CSI) can be utilized to improve service quality of Governmental Departments in X City. Analysis of IPA and CSI were used to measure the level of respondents’ satisfaction regarding the provided services. The departments were selected using purposive sampling method. Four selected departments were Population and Civil Registry Department, Transportation Department, Housing and Settlement Department, and Social Department. The result showed that customers were moderately satisfied with the services, with the following CSI index value: 70.09%, 72.95%, and 76.61% respectively for each departments. Moreover, Social Department’s customers were very satisfied with the CSI index 81.56%. In this study, aspect of Information and Communication Technology (ICT) literacy indicator were more exposing the ability to operate personal computer. There were six indicator of ICT literacy, i.e access, manage, integrate, evaluate, create, and communication. The value of evaluate indicator were quite high, it has reached score higher than 50% for each departments were. However, based on overall score, it was shown that 60% respondents still have low ICT literacy. This study also showed that ICT literacy were related to responden’s education and age. It increased along with the higher level of education that has been completed by respondents, and with the age of 17-39 years old.
Penerapan Metode DBSCAN dalam Memperbaiki Kinerja K-Means untuk Penggerombolan Data Tweet Astri Fatimah; Anang Kurnia; Septian Rahardiantoro; Yani Nurhadryani
Xplore: Journal of Statistics Vol. 8 No. 1 (2019): 30 April 2019
Publisher : Department of Statistics, IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/xplore.v8i1.159

Abstract

Text Mining is collecting text data mining results from a computer to get information contained therein. Text data has a form of data that is not structured and difficult to analyze. The unstructured data can be used as structured data through pre-processing stages. Text data is represented as numerical data after going through the pre-processing stages using vector space model method and weighting method of inverse frequency document frequency so that it can be used for analysis. The K-Means cluster analysis is one method that can be used for unstructured data, but the K-Means method is not robust to noise. Outliers can be detected using Density Based Spatial Clustering of Application with Noise (DBSCAN) cluster analysis. Outliers obtained from DBSCAN results can be omitted in the data. Cluster analysis was carried out again after removal of outliers using the K-Means method with the same number of k clusters. Evaluation of the cluster that is used to see the goodness of the cluster results is Silhouette Coefficient (SC). The SC value of the K-Means method after removal of outliers has a significant increase of 0.21 for a small amount of data. Adding the amount of text data to cluster analysis also affects the number of clusters. This is influenced by the number of katas in a document that is given weight. The fewer katas that are given weight, the more number of clusters will be generated
Co-Authors A.Muh.Yakin Amin Aang Gunaidi Addini Yusmar Agus Buono Buono Ali Djamhuri Anak Agung Gede Sugianthara Anang Kurnia Anestya Ayunda, Winda Arif Imam Suroso Ariq Cahya Wardhana ASEP SAEFUDDIN Astri Fatimah Auzi Asfarian Auzi Asfarian Baba Barus Dean Apriana Ramadhan Dean Apriana Ramadhan Defina Desi Nadalia Desta Wirnas Elfrida Ratnawati Emilia Syafitri Eneng Tita Tosida Erika Nachrowi Erliza Hambali Fajar Delli Wihartiko Faqih Udin dan Jono M. Munandar Meivita Amelia Fatimah Ahmad, Hafidlotul Fatimah, Hilmi Azmi Fauzi, Luthfi Faishal Feby Tri Saputra Feriadi Feriadi, Feriadi Firman Ardiansyah Fryonanda, Harfebi Gunaidi, Aang Halimah Tus Sa'diah Hari Agung Adrianto Heru Sukoco HUSNUL KHOTIMAH I Gusti Ngurah Antaryama I Nyoman Rai Widartha Kesuma Indah Pratiwi Inne Larasati Inne Larasati Intan Purnamasari Irhamni . Irma Rosalina Irman Hermadi Julio Adisantoso Kesuma, I Nyoman Rai Widartha Kirana Nuryunita Kirana Nuryunita Luthfan Almanfaluthi Marizsa Herlina Moh Djemdjem Djamaludin, Moh Djemdjem Muhammad Naufal Farras Mastika Mulus, Rachmat Tauffan Neny Rosmawarni Noorlela Marcheta Nuryantika, Fitria Pudji Muljono Rahardiantoro, Septian Rahma Anisa Ratna Agustina, Ratna Ravie Kurnia Laday Rifai, Nur Azizah Komara Riyanto Rizq, Shafira Ryska Putri Madyasari Setyadi, Wawan Siti Zubaidah Sokoco, Heru Sony Hartono Wijaya Sony Wijaya Subhan Deni Hermawan Sukarna Sukarna Supriyadi Supriyadi Suskamiyadi Suskamiyadi Suskamiyadi Suskamiyadi Susy Katarina Sianturi Susy Katarina Sianturi Taufik Djatna Tiana, Ade Hikma Wahjuni, Sri Wijaya, Sony Winda Anestya Ayunda Wiradani Ramadhan Wulandari Wulandari Yunita Rahma Yusuf, Sri Malahayati