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Design Thinking Approach in Building a Chatbot for Troubleshooting and Handling Disruption Complaints in Network Services Lubis, Akhyar; Iskandar, Iskandar; Hardinata, Rio Septian; Lubis, Syahrian
International Conference on Sciences Development and Technology The 2nd ICoSDTech 2022
Publisher : International Conference on Sciences Development and Technology

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Abstract

This study explores the application of the Design Thinking approach in building a chatbot for troubleshooting and handling service network disruption complaints. Specifically, the DeepDive method IDEO developed is the main framework in the chatbot creation process.DeepDive, as a methodology that focuses on a deep understanding of user needs and creative problem-solving, allows chatbot creators to design solutions that are highly suitable for unique challenges faced by users in network services. The result is a chatbot capable of effectively handling complaints and providing timely solutions.The research results show that applying IDEO's DeepDive methodology can enhance the efficiency and effectiveness of chatbots in addressing disruption complaints. This significantly contributes to improving network service quality and overall customer satisfaction. This study provides important insights for practitioners and researchers on applying Design Thinking and deep-dive methodology in creating chatbot technology.
Expert System for Diagnosing Spine Diseases Using the Forward Chaining Method Iskandar, Iskandar; Siahaan, Muhammad Donni Lesmana; Wahyuni, Sri; Panjaitan, Dewi Afriana
International Conference on Sciences Development and Technology The 3rd ICoSDTech 2023
Publisher : International Conference on Sciences Development and Technology

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An expert system is a technology that is able to integrate medical knowledge and data processing to diagnose spinal cord diseases. With various algorithms and a carefully structured knowledge base, this expert system can identify spinal cord diseases based on the symptoms presented by the patient. The main advantage of this expert system is its ability to process data quickly and provide diagnostic recommendations consistently. The results provided from this research are an expert system for identifying spinal cord disease which was built using the Visual Basic software application system. From patient data and symptom data applied to the expert system for in spinal cord disease, it is known that the accuracy of the system for diagnosing spinal cord disease is 95% of patients.
Socialization of the Use of Mobile-Based Online Public Complaints System in Kebun Kelapa Village Ramadhan, Zuhri; Iskandar, Iskandar; Kurniawan, Heri
International Conference on Sciences Development and Technology The 3rd ICoSDTech 2023
Publisher : International Conference on Sciences Development and Technology

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Abstract

This service aims to provide socialization and training on the use of a mobile-based online public complaint system in Kebun Kelapa Village. This training is carried out using practical and participatory methods, allowing participants to learn and implement the use of Android / mobile in the online complaint process. It is hoped that in the future the results of this service will make it easier for the community to provide suggestions, input and criticism regarding the performance of village officials both in Kebun Kelapa Village and Langkat District Office. By implementing this mobile-based online method, it will be easier for the community to convey their aspirations to village officials without having to come to the village office. The positive impact of this training can be observed from the increase in people who are able to use online applications via their respective mobile phones. . Apart from that, this training also opens up new opportunities for village communities to utilize the potential of village communities with existing technological developments and effectively support sustainable village economic development.