Utilizing K-means Clustering for the Detection of Cyberbullying Within Instagram Comments.

A Muhariya, I Riadi, Y Prayudi… - … des Systèmes d' …, 2023 - search.ebscohost.com
With the proliferation of social media platforms like Instagram, Twitter, and Facebook, the
dissemination of information has undergone a significant transformation. Instagram …

Hybrid Data Mining with the Combination of K-Means Algorithm and C4. 5 to Predict Student Achievement

A Ramadhanu, S Defit… - International Journal of …, 2021 - repository.upiyptk.ac.id
Getting academic achievement is the dream of every student who studies at higher
education, especially undergraduate level. Undergraduate students aspire to the highest …

Divorce Fact Detection Based on Internet User Behavior Using Hybrid Systems with Combination of Apriori Algorithm and K-Means Method

S Enggari, S Defit - Jurnal Ilmu Komputer dan Informatika, 2022 - repository.upiyptk.ac.id
-An ideal couple should sustain the family's ark till the end of their life without divorce. This
study aims at seeking the association between divorce and internet behavior of searching …

Assessing Employee Performance in the Information Technology Department Using K-Means Clustering: A Case Study Approach

AJE Sakalessy, HD Purnomo - Journal of Information Systems and …, 2024 - journal-isi.org
This research explores the utilization of the K-Means method for evaluating the performance
of employees within the Information Technology Department at PT Nusa Halmahera …

Enhanced MSME Support Allocation with Integrated K-means and Tukey's Outlier Detection

KD Hartomo, C Arthur - Intelligent Systems Conference, 2024 - Springer
The pandemic caused by the Covid-19 virus has resulted in Indonesia experiencing a
slowdown in economic growth. MSMEs (Micro, Small and Medium Enterprises) as the …

Comparison of K-Means Algorithms and Fuzzy C-Means Algorithms for Clustering Customers Dataset

I Tahyudin, G Firmansyah, AG Ivansyah… - 2022 1st …, 2022 - ieeexplore.ieee.org
Processing customer data results in the ability to predict the facts of the business
environment. Data helps operate the business optimally, namely by developing market …

Clustering The Quality Level of Lecturer Teaching Using The K-Means Method

FA Harahap, M Sovina, A Saleh - 2021 9th International …, 2021 - ieeexplore.ieee.org
Universities require faculty who have the quality in the process of learning (PBM). Therefore,
it is necessary to level the quality of teaching faculty grouping which aims to assist the …

Clustering Disease on Settlements Inhabitant In place seedy With Use Clustering Method

RBB Sitepu, A Fauzi, R Saragih - Journal of Artificial Intelligence and …, 2023 - ioinformatic.org
Residents living in slum areas often face serious problems related to public health, where
the prevalence of disease tends to be high and its spread is difficult to control. The impact of …

[PDF][PDF] Identification of Book Needs Level Using the K-Means Method at STMIK Pelita Nusantara Medan Library

A Sitohang, S Defit - Login: Jurnal Teknologi Komputer, 2020 - login.seaninstitute.org
Abstract Library Sekolah Tinggi Manajemen Ilmu Komputer Pelita Nusantara Medan is one
of the facilities that provide book loan services to students. To improve services to the needs …

[引用][C] CLUSTERING HIV/AIDS DISEASE USING K-MEANS CLUSTERING ALGORITHM

IP Sari, PP Hariani, AK Al-Khowarizmi, F Ramadhani… - … International Seminar of …, 2024