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All Journal Bulletin of Electrical Engineering and Informatics Jurnal Edukasi Matematika dan Sains JAIS (Journal of Applied Intelligent System) Jurnal Pengabdian UntukMu NegeRI APOTEMA : Jurnal Program Studi Pendidikan Matematika Jurnal Penelitian Pendidikan IPA (JPPIPA) Civic-Culture : Jurnal Ilmu Pendidikan PKN dan Sosial Budaya Jurnal Cendekia : Jurnal Pendidikan Matematika SIGMA Al-Khwarizmi: Jurnal Pendidikan Matematika dan Ilmu Pengetahuan Alam AMALIAH: JURNAL PENGABDIAN KEPADA MASYARAKAT Kumawula: Jurnal Pengabdian Kepada Masyarakat Abdihaz: Jurnal Ilmiah Pengabdian pada Masyarakat Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Civitas Ministerium: Jurnal Pengabdian Kepada Masyarakat Indonesian Journal of Education Methods Development JAPI: Jurnal Akses Pengabdian Indonesia Scientific Journal of Informatics SEMINAR NASIONAL SOSIAL, SAINS, PENDIDIKAN, HUMANIORA Seminar Nasional Riset dan Teknologi (SEMNAS RISTEK) Sasambo: Jurnal Abdimas (Journal of Community Service) Proceeding International Conference on Digital Education and Social Science
Didik Hermanto
Universitas Dian Nuswantoro, Kediri
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Journal : JAIS (Journal of Applied Intelligent System)

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Implementation Chatbot on Discord for Information Assistance and Conflict Prevention Pratama, Zudha; Mintorini, Ery; Karmila, Karmila; Hermanto, Didik
(JAIS) Journal of Applied Intelligent System Vol. 8 No. 3 (2023): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jais.v8i3.9089

Abstract

Discord, which was originally created for the gamer community, can now be found used by hobby groups and communities that are used for shared learning purposes. But the downside is the gamer culture that comes with it. Rude and toxic words that are synonymous with the gamer community should be avoided in study group communities. Meanwhile, the facilities for minimizing harsh and toxic words are still limited to word filters that can be tricked so that they can still be sent to the chat room. This can trigger conflict and interfere with learning activities together. This paper proposed an information assistance chatbot that is able to answer question, and conflict prevention with detection toxic sentences using pre-processing from NLP (Natural Language Processing) and text classification so that the chatbot is able to limit toxic sentences a little more accurately than the word filter feature alone. Also, Chatbots are given the ability to determine the value / level of toxic conversations so that they are had been able to determine the punishment action to be carried out by warning, suspending, or even being issued for the most severe cases. In addition, by looking at the frequency of sending messages from several senders, which indicates toxic, it was able to determine when the conflict occurs. The result shows that chatbot can work fine to answer question and detecting toxic include do punishment to toxic sender. With 10% error on detecting conflict and 30% error on answer question. That 30% error false positive on make an answer that should not be answered.
Naive Bayes Sentiment Analysis Study On Street Boba And Gildak Kediri Consumer Reviews Prasentya, Cindy Aprilia Wijaya; Hermanto, Didik; Negar, Wana Pramudyawardana Kusuma; Isinkaye, Folasade Olubusola
(JAIS) Journal of Applied Intelligent System Vol. 9 No. 1 (2024): Journal of Applied Intelligent System
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/jais.v9i1.10309

Abstract

Streetboba & Gildak Kediri outlet is a restaurant that serves a variety of Korean food menus and various kinds of drinks with boba and jelly toppings that are sold at low prices that suit the student's budget. This restaurant is located in East Java province which is precisely on Jalan Yos Sudarso No.43, Kediri City. With technological advances that continue to grow to affect various aspects, especially in the business and industrial world. Sentiment analysis is a technology that extracts or manages text to be expressed using text that can also be classified into positive and negative polarity. Consumer reviews are a form of communication that occurs in the sales process, the stage where potential buyers receive an explanation of the product posted and buyers receive reviews that explain the advantages or disadvantages of purchasing the product. In this study, sentiment analysis was conducted based on consumer opinions regarding social media accounts. The study aimed to use social media data to assess the service, cleanliness and quality of products offered by categorizing companies as having positive and negative reviews. To classify sentiment, the Naive Bayes method is used, which combines survey data collection methods, questionnaires, and observation data.
Co-Authors Abdussalam Ajib Susanto Aldila Septiana Amirul Mukminin Anindita Trinura Novitasari Bagus Imam Faisal Buaddin Hasan Buaddin Hasan Buaddin Hasan Christy Atika Sari Eko Hari Rachmawanto Ery Mintorini Faisal, Bagus Imam Firri Ilaalloh Fitria Fitria Harfin Lanya, Harfin Hunaepi Isinkaye, Folasade Olubusola karmila karmila Lailatul Qudsiyah Mety Liesdiani Mety Liesdiany Moch. Sjamsul Hidajat Moh Affaf Ningrum, Diah Indrawati Novitasari, Anindita Trinura Nur Aliya Prasentya, Cindy Aprilia Wijaya Pratama, Zudha R. A. Rica Wijayanti R.A Rica Wijayanti Raden Mohamad Herdian Bhakti Ria Faulina Ria Kristia Fatmasari Rica Wijayanti Rica Wijayanti Mety Liesdiani Rica Wijayanti Wijayanti Rica Wijayanti, Rica Rifky Maulana Yusron Rizqiyah, Tsalitsatur Rochmadyan, Nabillah Ayuditha Sarker, Md Kamruzzaman Selvia Desi Ekayana Septi Budi Sartika Setiarso, Ichwan Yeny Kurmayningsih Zainuddin Zainuddin Zainuddin Zainuddin Zainuddin, Zainuddin Zainudin Zainudin Zainudin Zayyadi, Moh