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All Journal Jurnal Masyarakat Informatika Semantik Techno.Com: Jurnal Teknologi Informasi Jurnal Simetris Jurnal Transformatika Scientific Journal of Informatics JAIS (Journal of Applied Intelligent System) ANDHARUPA Journal of Information System ITEj (Information Technology Engineering Journals) Edu Komputika Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control JOURNAL OF INFORMATION SYSTEM RESEARCH (JOSH) Budimas : Jurnal Pengabdian Masyarakat Abdimasku : Jurnal Pengabdian Masyarakat Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Bumi: Jurnal Hasil Kegiatan Sosialisasi Pengabdian Kepada Masyarakat
Erika Devi Udayanti
Universitas Dian Nuswantoro, Semarang
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Public Health Social Sciences Other

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Journal : Jurnal Transformatika

 1 
Crawling Data Customer Pada Aplikasi Smarsofi Untuk Layanan Digital Marketing Maulana, Ahmad; Udayanti, Erika Devi; Sanjaya, Yusuf Yudha; Anggadiva, Rifky; Comara, Maulana Muhammadin; Muna, Mohamad Sirojul
Jurnal Transformatika Vol. 17 No. 1 (2019): July 2019
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v17i1.1423

Abstract

Current communication can be carried out without having to come face to face, without limitation of space and time, namely through the internet. the availability of internet connectivity is a necessity for all people in almost all activities. The growth of internet users influences changes in the pattern of society in communicating and socializing also has an impact on business trends, one of which is the aspect of promotion and marketing. Conventional promotion through printed media has shifted to online media. Printed media turned to digital form which was then disseminated very easily through the internet to many people in general. This paper will examine the smarsofi application or smart social wifi application that utilizes connectivity accounts from wifi users to collect data. in this case is the visitor's data from a caf ©. The main objective is to facilitate the process of collecting visitors to the caf © connected to wifi, which will then be forwarded to the distribution (broadcast) of digital promotional content.
Aplikasi Text Mining untuk Klasterisasi Aduan Masyarakat Kota Semarang Menggunakan Algoritma K-means Afida, Dita; Udayanti, Erika Devi; Kartikadarma, Etika
Jurnal Transformatika Vol. 18 No. 2 (2021): January, 2021
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v18i2.2362

Abstract

Social media is a service that is very supportive for government activities, especially in providing openness and community-based government. One form of its implementation is the Semarang City government through the Center for Community Complaints Management (P3M), whose task is to manage community complaints that enter one of the communication channels namely social media twitter. The number of public complaints that enter every day is very varied. This is certainly quite difficult for managers in categorizing complaints reports according to the relevant Local Government Organizations (OPD). This paper focuses on the problem of how to conduct clustering of community complaints. The data source comes from Twitter using the keyword "Laporhendi". Text document data from community complaint tweets was analyzed by text mining methods. A number of pre-processing of text data processing begins with the process of case folding, tokenizing, stemming, stopword removal and word robbering with tf-idf. In conducting cluster mapping, clustering algorithm will be used in dividing the complaint cluster, namely the k-means algorithm. Evaluation of cluster results is done by using purity to determine the accuracy of the results of grouping or clustering.
Co-Authors Affandy Affandy Afida, Dita Ahmad MAULANA Aisyatul Karima ALI MUQODDAS Ali Muqoddas Aloysius Soerjowardhana Alzami, Farrikh Andriana, Wiwin Anggadiva, Rifky Anwarri, Kenza Amalia Putri Arika Norma Wahyu Dorroty Aritonang, Ivana Junita Bonifacius Vicky Indriyono Bonifacius Vicky Indriyono, Bonifacius Vicky Candra Irawan Chornelius Aneba Moza Ikratama Christiawan Yosua Hertinando Christy Atika Sari Comara, Maulana Muhammadin Dian Restu Adji Dibyo Adi Wibowo Djuniadi Djuniadi Doheir, Mohamed Dwi Puji Prabowo, Dwi Puji Erba Lutfina Erwin Yudi Hidayat Yudi Hidayat Ery Mintorini Etika Kartikadarma Etika Kartikadharma Fahri Firdausillah Fajar Agung Nugroho Fajar Agung Nugroho Fajar Agung Nugroho Fajrian Nur Adnan Farah Syadza Mufidah Febrianto, Kevin Florentina Esti Nilawati Gery Gadman Rachmad Hafidhoh, Nisa'ul Hafidhoh, Nisa?ul Hafidhoh, Nisa’ul Hafidhoh, Nisa’ul Hafidhoh, Nisa’ul Ikhsan, Nur Iqlima Zahari Karmila Karmila Kartikadharma, Etika Lutfina, Erba Megantara, Rama Aria Mellati, Pita Muhammad Agus Muljanto Muhammad Hafidz Muna, Mohamad Sirojul Natalinda Pamungkas Natalinda Pamungkas Nisa'ul Hafidhoh Nur Ikhsan Nur Iksan Pratiwi, Yunita Ayu Putra, Yogi Pratama Raden Arief Nugroho Ramadhan Rakhmat Sani Sanina Quamila Putri Sanjaya, Yusuf Yudha Soerjowardhana, Aloysius Sri Mulatsih Sri Winarno Sri Winarno Syafira Putri Yuanita Valentina Widya Suryaningtyas, Valentina Widya Widayat Yutriatmansyah, Widi Widi Widayat Yutriatmansyah Wildan Mahmud Wisnumurti, Reza Yuni Lestari Yutriatmansyah, Widi Widayat Yutriatmansyah, Widi Widayat Zahari, Iqlima  Ignasius Yoga Puji Hascaryo