The hospital location selection for COVID-19-infected patients is out to be one of the most
critical decisions for healthcare sectors in high-case countries. In this study, optimal urban …

Supervised learning using shallow machine learning methods is still a popular method in
processing text, despite the rapidly advancing sector of unsupervised methodologies using …

Recommendation systems (RS) are crucial for social networking sites. Without it, finding
precise products is harder. However, existing systems lack adequate efficiency, especially …

Nowadays the good or bad study program can be seen from the accreditation rank that it
obtains from the institution of college accreditation. However, it is frequently found at college …

Decisions in this competitive and dynamic world must be correct, accurate, and objective.
The process of deciding must be fast and precise. Since the dawn of technology, criteria and …

Abstrak Support Vector Machine (SVM) tergolong sebagai satu di antara algoritma
klasifikasi yang paling sering dimanfaatkan dalam analisis sentimen dan terbukti …

The urban commercial center has developed and become play an important role in the lives
of individuals to provide for their material and moral needs, especially with modern methods …

Recommender systems suffer a set of drawbacks such as sparsity. Social relations provide a
useful source to overcome the sparsity problem. Previous studies have utilized social …

Determining a business location is an important aspect in making strategic decisions in
various business sectors. In this review, we analyze the location determination of some …

This research exhibits an algorithm adapted from the Technique for Order of Preference by
Ideal Solution (TOPSIS) methodology, integrating the Entropy Weighting Method (EWM) for …