Publication Search

ABSTRACT Information services on campus are often delayed due to reliance on staff, resulting in long queues and inefficient waiting times. This study aims to design and develop a robotic interaction system based on speech recognition and Natural Language Processing (NLP), equipped with a virtual button as an alternative activation method. The system allows users to interact with the robot using voice, while the virtual button provides an additional option for users who are more comfortable with touch-based interaction. The research method employed is prototype development, which includes the design, implementation, and evaluation of the system. Testing was conducted to assess the effectiveness of the system in delivering information services quickly and accurately. The results show that the developed system can enhance service efficiency, reduce dependence on staff, and facilitate faster and more practical interactions between users and the robot. This study is expected to contribute to the development of technology-based public service systems, especially in the campus environment. Keywords: robotic interaction, speech recognition, NLP, virtual button, public service

The bodywork industry in Indonesia is under high competitive pressure, requiring companies to be more adaptive in understanding customer behavior in order to maintain business continuity. PT. Bengawan Karya Sakti as one of the national bodywork companies, has not optimally utilized historical transaction data to assess customer loyalty. This study aims to identify customer loyalty segmentation through the application of the RFM (Recency, Frequency, Monetary) method, which is used to analyze sales transaction data in 2022 and 2023. The study uses the CRISP-DM approach which includes the stages of business understanding, data exploration, data cleaning and processing, modeling, evaluation, and implementation of results. The transaction data analyzed includes attributes of transaction date, customer, number of transactions, and transaction value, which are then processed into RFM scores based on the transaction year and classified into categories such as Very Loyal, Loyal, At Risk, and others. The segmentation results show an increase in the number of very loyal customers from 2022 to 2023, as well as a significant decrease in inactive and at-risk customers. The chi-square statistical test shows that the difference in customer distribution between years is statistically significant (p-value <0.05), indicating a real influence from the company's strategy or external factors. The main conclusion of this study is that the RFM method is effective in the bodywork industry to support data-based marketing decision making and more targeted customer retention strategies.

Teknologi yang berkembang saat ini sangat berpengaruh pada proses bisnis penjualan, sistem offline mulai ditinggalkan dan mulainya sistem baru yaitu penjualan secara online melalui media elektronik. Hal ini berdampak pada Persaingan usaha antar Perusahaan semakin tinggi oleh karena itu salah satu usaha penjualan produk pakaian kaos toko Alpis dimana masih menggunakan cara konvensional berusaha meningkatkan penjualan dengan menerapkan sistem baru yaitu penjualan secara online melalui website. Sistem penjualan ini menjadi cara dalam meningkatkan pemasaran dan penjualan. Dalam merancang website E-commerce ini peneliti menggunakan metode waterfall yang akan diterapkan dalam Rancang bangun sistem informasi e-commerce pada toko Alpis. Dalam penerapan nya Metode Waterfall terdiri dari beberapa tahap yaitu planing, analisis, design, dan implementation. Penelitian ini diharapkan dapat membantu perusahaan dalam meningkatkan penjualan dengan kemudahan pembayaran dengan midtrans dan mampu menjadikan sistem informasi di perusahaan menjadi lebih baik. Kata Kunci: e-commerce, sistem informasi, & waterfall.