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All Journal ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA
Bengi, Mahara
Universitas Samudra
Computer Science & IT

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Pengembangan Chatbot Rule-Based untuk Rekomendasi Wisata Berbasis Content-Based Filtering Bengi, Mahara; Gunawan, Chica Rizka
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 9, No 2 (2025): November 2025
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v9i2.27904

Abstract

Tourism is a strategic sector in supporting regional economic growth, including in Takengon City, which has high potential in natural, cultural, and culinary tourism. However, limited access to structured and relevant tourism information often becomes an obstacle for tourists in selecting destinations that match their preferences. This study aims to develop a tourism destination recommendation chatbot based on content-based filtering integrated with the Telegram platform. The methods employed include text data preprocessing, vectorization using Term Frequency-Inverse Document Frequency (TF-IDF), and similarity measurement using cosine similarity. The chatbot is designed using a rule-based approach to receive user preference inputs in the form of keywords and generate relevant tourism destination recommendations in real time. The implementation and testing results indicate that the system is able to provide tourism recommendations that align with user preferences and respond effectively to various input variations. Therefore, the developed chatbot system can serve as a practical solution for delivering tourism information and recommendations in Takengon City and has the potential to be applied to other regions with similar characteristics. Keywords: Chatbot, Recommendation System, Content-Based Filtering, TF-IDF, Cosine Similarity.
Deteksi Penyakit Mata Menggunakan Algoritma Region Growing Gunawan, Chicha Rizka; Bengi, Mahara; Gunawan, Chichi Rizka; Fadhilla, Cut Alna
Algoritma: Jurnal Ilmu Komputer dan Informatika Vol 9, No 2 (2025): November 2025
Publisher : Universitas Islam Negeri Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/algoritma.v9i2.27908

Abstract

Medical image processing is a data manipulation process aimed at producing new images with improved quality. The primary objective of medical image processing is to obtain information, perform screening procedures, and support disease diagnosis, one of which is eye diseases. Nodules, as one of the indications of eye diseases, are generally analyzed visually by physicians. This study develops an algorithm to detect nodules in eye CT scan images based on the morphological characteristics of nodules, which are generally circular in shape. The experimental results show that the nodule area can be calculated based on the number of pixels forming the nodule region. In several image slices, the nodule area cannot be detected due to the condition where the nodule is attached to other parts of the eye. The developed algorithm is capable of detecting nodules in multiple eye CT scan slices and calculating the nodule area in each image slice. Therefore, the proposed nodule detection algorithm is expected to assist physicians in diagnosing eye diseases more accurately and objectively. Keywords: Detection, Region Growing, Eye Disease, Medical Image Processing, Nodule
Co-Authors Fadhilla, Cut Alna Gunawan, Chica Rizka Gunawan, Chicha Rizka Gunawan, Chichi Rizka