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View article: Reducing Semantic Distortion of Multiword Expressions for Topic Modeling with Latent Dirichlet Allocation
Reducing Semantic Distortion of Multiword Expressions for Topic Modeling with Latent Dirichlet Allocation Open
The Makan Bergizi Gratis (MBG) is one of the Indonesian government’s priority initiatives that has received significant coverage in online media. To understand the main themes within these narratives, this study applies topic modeling usin…
View article: Finding Random Integer Ideal Flow Network Signature Algorithms
Finding Random Integer Ideal Flow Network Signature Algorithms Open
We propose a Random Integer Ideal Flow Network (IFN) Signature Algorithm that generates integral flow assignments in strongly connected directed graphs under uncertainty. Existing models often fail to incorporate the inherent randomness an…
View article: Ambulance integration model in smart city for health services
Ambulance integration model in smart city for health services Open
Smart city is a city built to create efficient, sustainable, fair and livable cities. Increasing the percentage of population survival in standard and emergency times or emergency medical services (EMS) is one of the main pillars of a smar…
View article: An improvement of the Leiden algorithm for influencer detection
An improvement of the Leiden algorithm for influencer detection Open
An influencer is someone who has the ability to persuade a large number of people to take specific actions, regardless of space or time. The role of influencers, especially on social media platforms, has grown significantly. One common fea…
View article: Leveraging LRFM Analysis and Synthetic Data for Customer Segmentation Using K-Means Clustering
Leveraging LRFM Analysis and Synthetic Data for Customer Segmentation Using K-Means Clustering Open
This research explores the use of synthetic data in Length Recency Frequency Monetary (LRFM) analysis and K-Means clustering for customer segmentation. It is challenging to access accurate and comprehensive customer data, this study genera…
View article: Performance Level Analysis On Learning Vector Quantization And Cohonen Algorithms
Performance Level Analysis On Learning Vector Quantization And Cohonen Algorithms Open
Biometric identification is an alternative for a security system that consists of physiological characteristics and behavioral characteristics. Physiological characteristics are relatively stable physical characteristics such as fingerprin…
View article: A Hybrid Decision Support Framework Using MEREC-RAFSI With Spherical Fuzzy Numbers for Selecting Banking Financial Aid Recipients
A Hybrid Decision Support Framework Using MEREC-RAFSI With Spherical Fuzzy Numbers for Selecting Banking Financial Aid Recipients Open
Decades ago, a bank thoroughly utilized experts to determine financial decisions based on their assessments by evaluating risks qualitatively against the company’s financial statements, business scenarios, and individual or conventional cl…
View article: Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang
Model Klasifikasi Dengan Logistic Regression Dan Recursive Feature Elimination Pada Data Tidak Seimbang Open
Logistic Regression merupakan metode pengklasifikasi yang sangat populer dan digunakan secara luas pada berbagai penelitian. Logistic Regression dapat memberikan hasil yang baik pada masalah klasifikasi maupun prediksi. Fitur dataset yang …
View article: PERFORMANCE OF ROBUST SUPPORT VECTOR MACHINE CLASSIFICATION MODEL ON BALANCED, IMBALANCED AND OUTLIERS DATASETS
PERFORMANCE OF ROBUST SUPPORT VECTOR MACHINE CLASSIFICATION MODEL ON BALANCED, IMBALANCED AND OUTLIERS DATASETS Open
In the realm of machine learning, classification models are important for identifying patterns and grouping data. Support Vector Machine (SVM) and Robust SVM are two types of models that are often used. SVM works by finding an optimal hype…
View article: Development of the fuzzy grid partition methods in generating fuzzy rules for the classification of data set
Development of the fuzzy grid partition methods in generating fuzzy rules for the classification of data set Open
The main weakness of complex and sizeable fuzzy rule systems is the complexity of data interpretation in terms of classification. Classification interpretation can be affected by reducing rules and removing important rules for several reas…
View article: An AI based approach to evaluate students old script writings
An AI based approach to evaluate students old script writings Open
Preserving cultural heritage, such as old manuscripts as expressions of human communities is one of sustainable development goals (SDGs) targets. In Indonesia, old manuscripts written in Batak language include many valuable insights for ne…
View article: Performance Analysis Of The Combination Of Blum Blum Shub And Rc5 Algorithm In Message Security
Performance Analysis Of The Combination Of Blum Blum Shub And Rc5 Algorithm In Message Security Open
This research aims to enhance message security in the RC5 algorithm by integrating it with the Blum Blum Shub (BBS) algorithm. The rapid growth in data and information exchange, driven by advancements in information and communication techn…
View article: Convolutional Neural Network Activation Function Performance on Image Recognition of The Batak Script
Convolutional Neural Network Activation Function Performance on Image Recognition of The Batak Script Open
Deep Learning is a sub-set of Machine learning, Deep Learning is widely used to solve problems in various fields. One of the popular deep learning architectures is The Convolutional Neural Network (CNN), CNN has a layer that transforms fea…
View article: Leiden Coloring Algorithm for Influencer Detection
Leiden Coloring Algorithm for Influencer Detection Open
View article: The role of Louvain-coloring clustering in the detection of fraud transactions
The role of Louvain-coloring clustering in the detection of fraud transactions Open
Clustering is a technique in data mining capable of grouping very large amounts of data to gain new knowledge based on unsupervised learning. Clustering is capable of grouping various types of data and fields. The process that requir…
View article: Reduksi Dimensi pada Klasifikasi Data Microarray Menggunakan Minimum Redundancy Maximum Relevance dan Random Forest
Reduksi Dimensi pada Klasifikasi Data Microarray Menggunakan Minimum Redundancy Maximum Relevance dan Random Forest Open
Di Indonesia prevalensi kanker pada data Riskesdes tahun 2018 terdapat 1,79 per 1.000 penduduk mengidap penyakit kanker. Akibat tingginya prevalensi kanker maka diperlukan pendeteksian kanker sejak dini. Salah satu cara mendeteksi kanker y…
View article: Improvement Ranking Accuracy of Weighted Aggregated Sum Product Assessment With Lambda Variable
Improvement Ranking Accuracy of Weighted Aggregated Sum Product Assessment With Lambda Variable Open
Conventional methods are still used in selecting the best students in the various institutions depending on the subjectivity of each member of the assigned committee. In order to make an objective decision, it is necessary to have a method…
View article: Analysis Of Variation In The Number Of MFCC Features In Contrast To LSTM In The Classification Of English Accent Sounds
Analysis Of Variation In The Number Of MFCC Features In Contrast To LSTM In The Classification Of English Accent Sounds Open
Various studies have been carried out to classify English accents using traditional classifiers and modern classifiers. In general, research on voice classification and voice recognition that has been done previously uses the MFCC method a…
View article: Graph Convolutional Networks with Knowledge Graph for Myers-Briggs Type Indicator
Graph Convolutional Networks with Knowledge Graph for Myers-Briggs Type Indicator Open
View article: IMPROVED SUPPORT VECTOR MACHINE PERFORMANCE USING PARTICLE SWARM OPTIMIZATION IN CREDIT RISK CLASSIFICATION
IMPROVED SUPPORT VECTOR MACHINE PERFORMANCE USING PARTICLE SWARM OPTIMIZATION IN CREDIT RISK CLASSIFICATION Open
In Classification using Support Vector Machine (SVM), each kernel has parameters that affect the classification accuracy results. This study examines the improvement of SVM performance by selecting parameters using Particle Swarm Optimizat…
View article: Dynamic Terrain Data Exchange in a Collaborative Terrain Editor
Dynamic Terrain Data Exchange in a Collaborative Terrain Editor Open
In a computer supported cooperative work (CSCW), data consistency between collaborating users is a crucial issue. Based on the type of the application, ensuring data consistency can be a lengthy process that takes time and affects the syst…
View article: PENINGKATAN SDM PROMOSI DINAS PARIWISATA SAMOSIR MELALUI PELATIHAN WEBSITE MENGGUNAKAN CMS WORDPRESS
PENINGKATAN SDM PROMOSI DINAS PARIWISATA SAMOSIR MELALUI PELATIHAN WEBSITE MENGGUNAKAN CMS WORDPRESS Open
Abstrak: Pertambahan kunjungan wisatawan pariwisata samosir adalah tolak ukur usaha tim promosi Dinas Pariwisata Samosir yaitu melalui media website visitsamosir. Permasalahan (1) mitra kapasitas website semakin hari semakin besar sehingga…
View article: Detection of the Use of Mask to Prevent the Spread of COVID-19 Using SVM, Haar Cascade Classifier, and Robot Arm
Detection of the Use of Mask to Prevent the Spread of COVID-19 Using SVM, Haar Cascade Classifier, and Robot Arm Open
In the effort to hold up the case spread of COVID-19’s growth rate by implementing health protocols such as the use of masks, supervision is needed especially for the people who have not or still have problems to wearing masks. In this res…
View article: Sistem Pendukung Keputusan Penilaian Kinerja Guru Selama Pembelajaran Daring menggunakan Metode Vikor
Sistem Pendukung Keputusan Penilaian Kinerja Guru Selama Pembelajaran Daring menggunakan Metode Vikor Open
Teacher is a profession that has important role for the progress of education literacy, primarily in this current digitalization era that implements the online learning system. Therefore, the assesment of teacher’s performance during onlin…
View article: Combination of TOPSIS Method with Attribute Weighting of Information Gain in Decision-Making
Combination of TOPSIS Method with Attribute Weighting of Information Gain in Decision-Making Open
In this research, a combination of the Technique for Order Preference by Similarity lto Ideal Solution (TOPSIS) lalgorithm was carried out with the attribute weighting of the Information Gain method to obtain better decision support result…
View article: Identifikasi Penyakit Diabetic Retinopathy menggunakan Learning Vector Quantization (LVQ)
Identifikasi Penyakit Diabetic Retinopathy menggunakan Learning Vector Quantization (LVQ) Open
Diabetic retinopathy (retinopati diabetik) merupakan sejenis penyakit mata yang terjadi pada pengidap diabetes. Untuk mendeteksi jenis penyakit ini, dokter mata biasanya akan melakukan pemeriksaan dengan cara memeriksa mata dengan pupil l…
View article: Sensitivity of shortest distance search in the ant colony algorithm with varying normalized distance formulas
Sensitivity of shortest distance search in the ant colony algorithm with varying normalized distance formulas Open
The ant colony algorithm is an algorithm adopted from the behavior of ants which naturally ants are able to find the shortest route on the way from the nest to places of food sources based on footprints on the track that has been passed. T…
View article: Bahasa Indonesia pre-trained word vector generation using word2vec for computer and information technology field
Bahasa Indonesia pre-trained word vector generation using word2vec for computer and information technology field Open
Words embedding or distributed representations is a popular method for representing words. In this method, the resulting vector value is a set of real values with specific dimensions that are more effective than the Bag of Word (BoW) metho…
View article: Diagonal Based Feature Extraction and Backpropagation Neural Network in Handwritten Batak Toba Characters Recognition
Diagonal Based Feature Extraction and Backpropagation Neural Network in Handwritten Batak Toba Characters Recognition Open
Handwritten character recognition is considered a complex problem since one’s handwritten character has its characteristics. Data used for this research was a photo of handwritten or scanned handwritten. In this research, Backpropagation N…
View article: Development of a person’s facial expression recognition system using a convolutional neural network
Development of a person’s facial expression recognition system using a convolutional neural network Open
Humans naturally and intuitively use important and powerful facial expressions to communicate and show their emotions during social interactions. In that interaction, the effort to interpret someone’s emotional condition is important in go…