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All Journal Jurnal Indonesia Sosial Teknologi Eduvest - Journal of Universal Studies Jeptira TIFDA : Journal Technology Information and Data Analytic
Mahardika, Bagus Tri
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Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Environmental Science Health Professions Law, Crime, Criminology & Criminal Justice Library & Information Science Neuroscience Social Sciences

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Application of GPT in Chatbots to Facilitate Knowledge Management System Interaction Using Langchain (Case Study: PT Softbless Solutions) Mahardika, Bagus Tri; Hasan, Albantani Meiditya
Eduvest - Journal of Universal Studies Vol. 5 No. 6 (2025): Eduvest - Journal of Universal Studies
Publisher : Green Publisher Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/eduvest.v5i6.51321

Abstract

Searching the knowledge base on the system running at PT Softbless Solutions has the disadvantage of only being able to use keywords. Search results are also often irrelevant to what employees want. With the widespread use of AI in chatbots, it can improve information searches that are more interactive for employees. In this research, the methodology used in system development was the RAD (Rapid Application Development), and for bot development was the RAG (Retrieval Augmented Generation) method, which makes it possible to develop LLM such as ChatGPT to use existing knowledge base data in finding the desired information. This RAG implementation uses the LangChain framework and ChromaDB database to store data in embedding form. In the final result, the chatbot can be accessed in web applications and Telegram bots, and it achieves a User Acceptance Test value of 96.4%, which shows that the system and bot that have been built have a high level of usability. This research is expected to improve employee interaction in searching the knowledge base and become a reference for similar research.
Perbandingan Algoritma Decision Tree dan K-Means Clustering Untuk Menentukan Penghargaan Terhadap Loyaltas Customer Mahardika, Bagus Tri; Prastowo, Donnie Varyasetya
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025): Journal Technology Information and Data Analytic (TIFDA)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i1.82

Abstract

PT Tangguh Buana Roda Indonesia has difficulty in retaining loyal customers due to less than optimal customer management. This research proposes the use of a data mining-based system to categorize loyal customers using the K-Means and Decision Tree methods. The evaluation shows that the combination of K-Means and Decision Tree algorithms provides a higher average accuracy of 93.7175%. Compared to using Decision Tree alone which reached 92.8525% and K-Means which was only 91.667%. With the combination of these two algorithms, it is expected to support the awarding of loyal customers and strengthen the relationship between customers and companies. The system that has been created is web-based which will facilitate strategic planning to increase customer loyalty.
The Application of Programmable Logic Controllers (PLC) in Vocational Education Budiarjo, Wisnu; Wiradinata, Trisna Ardi; Siregar, Rolan; Esye, Yendi; Novianti, Eva; Mahardika, Bagus Tri; Kurnianto, Atik
JEPTIRA Vol 3 No 1 (2025): JOURNAL OF COMMUNITY ENGAGEMENT JEPTIRA
Publisher : Fakultas Teknik Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/jeptira.v3i1.95

Abstract

This article outlines a systematic training program aimed at introducing and improving participants' comprehension of Programmable Logic Controllers (PLCs), a fundamental element in industrial automation systems. The training employed practical, hands-on workshops concentrating on fundamental PLC principles, hardware types, programming languages, and operational procedures. The participants were vocational school educators, students, and undergraduate engineering majors. The findings indicated substantial enhancements in the understanding and utilization of PLCs in automation activities, effectively connecting theoretical education with practical industry applications. The results further illustrate the efficacy of experiential learning in cultivating practical skills necessary for meeting the requirements of Industry 4.0 settings.
Designing an IT Service Management System with Naïve Bayes Method and Knowledge Base to Support IT Services Mahardika, Bagus Tri; Ash'ari, Mochammad Fiqri
Jurnal Indonesia Sosial Teknologi Vol. 5 No. 12 (2024): Jurnal Indonesia Sosial Teknologi
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jist.v5i12.8844

Abstract

SMK Pelita Alam is a health school that has been using IT systems rapidly in recent years to assist with various tasks. With the increased use of IT, new problems arise in IT service management, some of which are the increased volulme of data and information that must be managed. Therefore, the purpose of this research is to create a Helpdesk Ticketing application at SMK Pelita Alam that is equipped with a classification of the urgency level of complaints, and several other features such as a Knowledge Base that provides an updated knowledge base to improve responses to common questions and an AI Chatbot to ask various kinds of questions. This research uses the Waterfall research method while the algorithm used for complaint classification is Naive Bayes Classifier. This algorithm is implemented on the create ticket form, and this application is developed web-based. The results showed that the designed system can improve IT service quality, operational efficiency, and user satisfaction. The system can also provide useful information for future IT service planning and improvement. This research is expected to make a positive contribution to the development of assistance service systems at SMK Pellita Alam...
Co-Authors Ash'ari, Mochammad Fiqri Budiarjo, Wisnu Esye, Yendi Hasan, Albantani Meiditya Kurnianto, Atik NOVIANTI, EVA Prastowo, Donnie Varyasetya Siregar, Rolan Trisna Ardi Wiradinata