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Penggunaan Teknologi Natural Language Processing dalam Sistem Chatbot untuk Peningkatan Layanan Informasi Administrasi Publik Nadzif, Mukhamad Abid; Saefurrohman; Soelistijadi, R.
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science (IJCS)
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3645

Abstract

Penelitian membahas pengembangan chatbot dengan platform DialogFlow yang terintegrasi pada aplikasi Telegram untuk menyediakan informasi layanan administrasi di Pemerintahan Desa Tosari. Tujuannya adalah untuk meningkatkan kualitas layanan publik khususnya informasi layanan administrasi melalui sistem terpadu di tingkat desa guna mempercepat aliran informasi yang diperlukan, berupa pengembangan sistem kecerdasan buatan berupa Chatbot. Chatbot adalah program yang mampu berkomunikasi dengan manusia melalui pesan teks atau suara. Dengan menggunakan pemrosesan Natural Language Processing (NLP) yang merupakan bagian dari kecerdasan buatan, memungkinkan pengguna untuk berinteraksi dengan komputer menggunakan bahasa sehari-hari, seolah-olah sedang berbicara dengan manusia. Pengujian Usability dengan System Usability Scale (SUS) dan pengujian pengalaman pengguna pada chatbot dengan User Experience Questionnaire (UEQ) menunjukkan hasil yang positif, pengujian SUS memperoleh nilai akhir sebesar 86 dan UEQ memperoleh rata – rata nilai skala diatas 0,8, yaitu berada pada level Excellent. Hal ini menunjukkan bahwa implementasi chatbot efektif dalam memberikan informasi layanan administrasi di Pemerintahan Desa Tosari
Implementasi NodeMCU sebagai Sistem Deteksi Dini Bahaya Banjir di Purwodadi Berbasis Web dengan Notifikasi Bot Telegram Wijaya Ariyanto, Pradipta Andre; Soelistijadi, R
Jurnal Teknologi dan Manajemen Informatika Vol. 8 No. 2 (2022): Desember 2022
Publisher : Universitas Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/jtmi.v8i2.7902

Abstract

Purwodadi Town is one of the areas of Central Java, every time it rains some places will be flooded. And the heavy and long-lasting rainfall resulted in flooding. Floods cause losses for affected communities and damage existing infrastructure. One solution is to make an early warning system for flood disasters, the researchers designed a device based on the nodemcu microcontroller and used telegram as a notification. The researcher applies the prototype method to analyze all the needs starting from the input, output and interface description, then do the design. The results of this study are an early flood hazard detection system with telegram notifications that can be accessed through a website with various features, namely real-time water level information, graphical water level reports, and additional users to get notifications. The prototype produced from this research, the public can know whether a flood occurs or not so that they can anticipate before the flood occurs
Chatbot Telegram untuk Rekomendasi Pariwisata Daerah Semarang Menggunakan Framework Rasa Alvinnajmi, Abid Ridlo; Soelistijadi, R.; Saefurrahman, Saefurrahman
MEANS (Media Informasi Analisa dan Sistem) Volume 9 Nomor 1
Publisher : LPPM UNIKA Santo Thomas Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54367/means.v9i1.3393

Abstract

Tourism is a leading industry in various countries because it can improve the country's economy. One city that has potential for tourism is Semarang, because this city has unique culture and beautiful nature. However, there are too many sources of information regarding tourist attractions such as the city of Semarang, which makes tourists sometimes confused about determining tourist destinations that suit their wishes at that time. Therefore, we need a system that can provide recommendations for tourism spots in a destination city. This research aims to develop a Question Answering System or digital question and answer system using a chatbot (ChatterBot). Chatbots are used as information service providers that can make it easier for tourists who are looking for information about tourist attractions. chat bot-based information service systems can work 24 hours or throughout the day, reducing the intensity of direct physical contact with officers and saving operational costs. The chatbot implementation is built on a Machine Learning Framework using RASA Open Source with the Python programming language. Basic knowledge of the chatbot system is drilled based on the FAQ (Frequently Asking Questions) dataset with tourism research objects in the Semarang area. The evaluation results and system performance based on data testing obtained a model accuracy level of 0.91. Furthermore, the weighted average value in the ConfusionMatrix produces a precision of 0.97, recall of 0.94, and an F1 score of 0.95. Training and processing models locally.