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All Journal Jurnal Pengabdian Teknologi, Ekonomi dan Humaniora Journal Technology Information and Data Analytic
Bagus Tri Mahardika
Darma Persada University
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Library & Information Science Social Sciences Other

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Journal : Journal Technology Information and Data Analytic

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Perbandingan Algoritma Decision Tree dan K-Means Clustering Untuk Menentukan Penghargaan Terhadap Loyaltas Customer Bagus Tri Mahardika; Donnie Varyasetya Prastowo
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 1 (2025)
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.
PENERAPAN NATURAL LANGUAGE PROCESSING PADA PENGELOLAAN BERKAS DIGITAL MENGGUNAKAN CHATBOT DI PUSDATIN DINAS PPKUKM Bagus Tri Mahardika; Rezza Maulana
Journal TIFDA (Technology Information and Data Analytic) Vol 2 No 2 (2025)
Publisher : Prodi Teknologi Informasi Universitas Darma Persada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70491/tifda.v2i2.109

Abstract

Digital document management is a significant challenge for government organizations, particularly when the information retrieval procedure remains manual and inefficient. This research seeks to create a chatbot system utilizing Natural Language Processing (NLP) to aid users in locating and reading digital files through natural language instructions. This system was deployed at the Data Center (Pusdatin) of the PPKUKM Office to expedite information retrieval and enhance document management efficiency. The system was constructed utilizing the Laravel framework for the user interface and Python's FastAPI for natural language processing. Features encompass document retrieval by name and date, along with the capability to exhibit document content directly. This research utilized the Waterfall software development methodology, encompassing stages of requirements analysis, system design, implementation, and testing. The final results indicate that the system operates effectively and offers a more adaptable and user-centric interaction experience.
Co-Authors Afri Yudha Atik Kurnianto Darsono Donnie Varyasetya Prastowo Eva Novianti Herianto S.Pd., MT Rezza Maulana Rolan Siregar Suzuki Syofian Trisna Ardi Wiradinata Wisnu Budiarjo Yan Sofyan Yan Sofyan Andhana Saputra Yendi Esye