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All Journal KOLONI
Winda Ade Fitriya B
Universitas Cenderawasih
Civil Engineering, Building, Construction & Architecture Law, Crime, Criminology & Criminal Justice Public Health Social Sciences Other

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PENENTUAN RUTE di APLIKASI GOOGLE MAPS DENGAN MENGGUNAKAN GRAF DAN ALGORITMA PRIM Winda Ade Fitriya B; Sitti Rosnafi’an Sumardi; Nicea Roona Paranoan; Caecilia Bintang Girik Allo
KOLONI Vol. 2 No. 1 (2023): MARET 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v2i1.434

Abstract

Along with the times, many technologies and applications were created to meet human needs. Applications that are quite developed at this time is a navigation application. One of the well-known and frequently used navigation applications is Google Maps. By using the Google Maps application, people can find out where they are and know the route to get to their destination very easily. This paper discusses route selection in the Google Maps application using the prim graph and algorithm. Keywords: Graph, Prims’s Algorithm Prim, Route, Application
PERBANDINGAN METODE KLASIFIKASI KEGAGALAN SIMULASI MODEL IKLIM Perbandingan Metode Klasifikasi Kegagalan Simulasi Model Iklim Caecilia Bintang Girik Allo; Nicea Roona Paranoan; Winda Ade Fitriya B; Sitti Rosnafi’an Sumardi
KOLONI Vol. 2 No. 1 (2023): MARET 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v2i1.438

Abstract

Simulation of climate model is used to produce climate models used to estimate climate in the future using some software. Simulation of climate model has two probability, they are success or failure. The problem is when the simulation is fail. There are 18 variables that used to predict the simulation. Feature selection is used to reduce the dimension of variables using RFECV method. There are 11 variables that important to simulation of climate. There are 46 from 540 simulations that fail. Furthermore, SMOTE is used to handle imbalance cases. The classification method used in this paper are Logistic Regression, Naïve Bayes, Support Vector Machine (SVM), and Random Forest. The AUC value were not significantly different for the four methods when using SMOTE. However, the highest AUC was obtained by SVM method, so the simulation of climate model can be predicted by SVM method. Keywords: AUC, SMOTE, RFECV, Logistic Regression, SVM, Random Forest, Naïve Bayes
ANALISIS MATEMATIKA PADA PENYEBARAN VIRUS NIPAH (NiV) DENGAN MENGGUNAKAN KENDALI OPTIMAL METODE Pontryagin Maximum Principle (PMP) Sitti Rosnafi’an Sumardi; Cecilia Bintang Girik Allo; Winda Ade Fitriya B; Nicea Roona Paranoan
KOLONI Vol. 2 No. 1 (2023): MARET 2023
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Nipah virus (NiV) is a virus that can be transmitted. This journal discusses the use of optimal control strategies to minimize populations or individuals infected with the NiV virus. We developed a mathematical model for the spread of Nipah vision (NiV) with two control strategies, namely community awareness and treatment. The aim of this study is to minimize the number of infected individuals and to reduce the costs required to create awareness and treatment at set time intervals. To achieve this goal the authors use the Pontryagin Maximum Principle (PMP) method. To see the effectiveness of using the optimal control strategy, the authors use the Runge Kutta Order 4 method (RK 4: Forward & Backward). The results of the simulation show that using two controls (public awareness and treatment) can optimally reduce the number of individuals infected with Nipah virus (NiV). Keywords: Optimal Control, Infectious Diseases, Nipah Virus, PMP, Runge Kutta Order 4
PENETAPAN STRATEGI PROMOSI MINUMAN SODA CAP BADAK DENGAN METODE ANALYTICAL HIERARCHY PROCESS Winda Ade Fitriya B
KOLONI Vol. 1 No. 4 (2022): DESEMBER 2022
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/koloni.v1i4.443

Abstract

Analytical Hierarchy Process (AHP) method is a decision making method which use factor of logic, experience, knowledge, emotion and feeling for optimized in a systematic process. Functional hierarchy and pair-wise comparison matrix is the main component in structure of AHP. In this pair-wise comparison matrix, the weight of each criterion will be sought by normalizing the geometric mean of respondents’ opinion. Maximum eigen values and eigen vector which normalized will be obtained in this matrix. In the process of determining hierarchy weighting factor as well as evaluation factor, there must be a consistency testing (CR < 0,100). In this research, AHP method is used to determine the strategy of promoting in PT. Pabrik Es Siantarwith Priority of criteria is competitors of the constraint factor with a weight 0,8 or 80%, sub criteria of human resources of company criteria on supporting factors with a weight 0,167 or 16,7%, and alternative who the highest score is Alternative 1 with a weight 0,5298 or 52,98%. Keywords: Strategy of promoting, AHP, Pair-Waise Comparison Matrix
Co-Authors Caecilia Bintang Girik Allo Nicea Roona Paranoan Sitti Rosnafi’an Sumardi