Opim Salim Sitompul
YOU?
Author Swipe
View article: ICU dan Non-ICU MRSA: Kejadian dan Faktor Risiko di Rumah Sakit Tersier
ICU dan Non-ICU MRSA: Kejadian dan Faktor Risiko di Rumah Sakit Tersier Open
Background: Methicillin-resistant Staphylococcus aureus (MRSA) is a major nosocomial pathogen that is resistant to penicillin-class antibiotics and poses a serious threat to healthcare facilities. Its global prevalence reached 30% in 2020,…
View article: Gated Recurrent Unit in Malaria Forecasting with Meteorological and Clinical Data
Gated Recurrent Unit in Malaria Forecasting with Meteorological and Clinical Data Open
Malaria, a disease transmitted by Anopheles mosquitoes carrying the plasmodium parasite, is a significant issue in the health world. To effectively achieve the substantial decrease in malaria cases, it is crucial to accurately forecast the…
View article: Strategic plant maintenance planning in agriculture by integrating lean principles and optimization
Strategic plant maintenance planning in agriculture by integrating lean principles and optimization Open
Operational planning within agricultural production systems plays a pivotal role in facilitating farmers' decision-making processes. This study introduces a novel mathematical model aimed at optimizing plant maintenance planning through th…
View article: Enhancing Agricultural Production Systems Through Novel Mathematical Modelling for Optimizing Plant Maintenance Planning
Enhancing Agricultural Production Systems Through Novel Mathematical Modelling for Optimizing Plant Maintenance Planning Open
Operational planning within agricultural production systems plays a pivotal role in facilitating farmers’ decision-making processes. This study endeavors to introduce a novel mathematical model aimed at optimizing plant maintenance plannin…
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: TINJAUAN HUKUM PIDANA DAN HUKUM PIDANA ISLAM TERHADAP PENIMBUNAN DAN PENJUALAN BBM BERSUBSIDI
TINJAUAN HUKUM PIDANA DAN HUKUM PIDANA ISLAM TERHADAP PENIMBUNAN DAN PENJUALAN BBM BERSUBSIDI Open
This research aims to describe legal sanctions for perpetrators of criminal acts of hoarding and selling subsidized fuel according to criminal and Islamic criminal laws. The research method is empirical legal research using a legal sociolo…
View article: Optimization of the Crude Palm Oil Supply Chain Using a Mixed Integer Linear Programming Model
Optimization of the Crude Palm Oil Supply Chain Using a Mixed Integer Linear Programming Model Open
The Crude Palm Oil (CPO) industry is a significant industry with a well-established network system, also known as a supply chain. The CPO industry is involved in the production, processing, and distribution of palm oil, which is derived fr…
View article: Identification of Regional Origin Based on Dialec Using the Perceptron Evolving Multilayer Method
Identification of Regional Origin Based on Dialec Using the Perceptron Evolving Multilayer Method Open
Voice detection is very important for the world of information technology that can be used for voice processing, biometrics, human computer interfaces. Voice identification carried out in this study is based on speech or dialect using a pr…
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: Model Classification of Fire Weather Index using the SVM-FF Method on Forest Fire in North Sumatra, Indonesia
Model Classification of Fire Weather Index using the SVM-FF Method on Forest Fire in North Sumatra, Indonesia Open
As a tropical country, Indonesia is situated in Southeast Asia nation has vast forests. Forest fire occur busy vary due to land conditions and forest conditions in drought season. The indicator used mitigated potential forest fire is to st…
View article: Optimasi Cluster Pada K-Means Clustering Dengan Teknik Reduksi Dimensi Dataset Menggunakan Gini Index
Optimasi Cluster Pada K-Means Clustering Dengan Teknik Reduksi Dimensi Dataset Menggunakan Gini Index Open
In K-Means Clustering, the number of attributes of a data can affect the number of iterations generated in the data grouping process. One of the solutions to overcome these problems is by using a reduction technique on the dimensions of th…
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: A new approach to achieve the users’ habitual opportunities on social media
A new approach to achieve the users’ habitual opportunities on social media Open
The data generated from social media is very large, while the use of data from social media has not been fully utilized to become new knowledge. One of the things that can become new knowledge is user habits on social media. Searching for …
View article: Analysis Clustering Using Normalized Cross Correlation In Fuzzy C-Means Clustering Algorithm
Analysis Clustering Using Normalized Cross Correlation In Fuzzy C-Means Clustering Algorithm Open
Fuzzy C-Means Clustering (FCM) has been widely known as a technique for performing data clustering, such as image segmentation. This study will conduct a trial using the Normalized Cross Correlation method on the Fuzzy C-Means Clustering a…
View article: Perfomance analysis of Naive Bayes method with data weighting
Perfomance analysis of Naive Bayes method with data weighting Open
Classification using naive bayes algorithm for air quality dataset has an accuracy rate of 39.97%. This result is considered not good and by using all existing data attributes. By doing pre-processing, namely feature selection using the ga…
View article: The feature extraction for classifying words on social media with the Naïve Bayes algorithm
The feature extraction for classifying words on social media with the Naïve Bayes algorithm Open
To classify Naïve Bayes classification (NBC), however, it is necessary to have a previous pre-processing and feature extraction. Generally, pre-processing eliminates unnecessary words while feature extraction processes these words. This pa…
View article: K-Means Performance Optimization Using Rank Order Centroid (ROC) And Braycurtis Distance
K-Means Performance Optimization Using Rank Order Centroid (ROC) And Braycurtis Distance Open
K-Means is a clustering algorithm that groups data based on similarities between data. Some of the problems that arise from this algorithm are when determining the center point of the cluster randomly. This will certainly affect the final …
View article: Optimization Of Determination Against K-Means Cluster Algorithm Using Elbow Creation
Optimization Of Determination Against K-Means Cluster Algorithm Using Elbow Creation Open
Clustering is a data mining method for grouping data that have similar or different characters in each section. One of the methods is using K-Means by measuring the distance between clusters using the shortest distance or Euclidean Distanc…
View article: Goal Programming Method in Optimizing Course Student Admission, Operational Costs and Profits
Goal Programming Method in Optimizing Course Student Admission, Operational Costs and Profits Open
In today's business competition, educational institutions or courses require optimizing profits. However, this is not easy because, in its implementation, there are many priority objective functions that must be fulfilled. In this case, th…
View article: Analysis of C4.5 Algorithm of Water Quality Dataset
Analysis of C4.5 Algorithm of Water Quality Dataset Open
The C4.5 algorithm still has weaknesses in predicting or classifying data if a large number of classes are used which can lead to increased decision-making time. So an approach is needed to improve the performance of the C4.5 algorithm wit…
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: Data science: A Review towards the Big Data Problems
Data science: A Review towards the Big Data Problems Open
Data science is the naming of science that can change when dealing with its subject, big data, into big data science. Extraction as the main task of and based on the definition of data science requires an interpretive way of big data. This…
View article: The effect of the TF-IDF algorithm in times series in forecasting word on social media
The effect of the TF-IDF algorithm in times series in forecasting word on social media Open
Forecasting is one of the main topics in data mining or machine learning in which forecasting, a group of data used, has a label class or target. Thus, many algorithms for solving forecasting problems are categorized as supervised learning…
View article: Performance Analysis of Subtractive Clustering Algorithm in Determining the Number and Position of Cluster Centers
Performance Analysis of Subtractive Clustering Algorithm in Determining the Number and Position of Cluster Centers Open
The basic concept of the subtractive clustering algorithm is to choose a data point that has the highest density (potential) in a space (variable) as the center of the cluster. The number and position of the cluster centers formed are infl…
View article: Implementation of face-to-face online learning system based on audio video, presentation and chat using the Moodle e-learning platform
Implementation of face-to-face online learning system based on audio video, presentation and chat using the Moodle e-learning platform Open
Currently, the implementation of teaching and learning at SMP Negeri 1 Binjai Kwala Begumit was done in the classroom alternately. However, with the current condition of pandemic covid-19, the learning process no longer carried out fully i…
View article: Development of Electromyography Signal Function to Control Robot Arm Working Adaptively in the Reverse Direction of the Human Arm Movement
Development of Electromyography Signal Function to Control Robot Arm Working Adaptively in the Reverse Direction of the Human Arm Movement Open
Malfunctioning conditions in one arm can be experienced by humans due to congenital defects, accidents, or side effects of experienced health problems. This has an impact on reducing the effectiveness of work because in normal conditions h…