Claim Missing Document
Check
Articles

Found 4 Documents
Search

IMPLEMENTATION OF PAGERANK ALGORITHM IN MATLAB Rima Aprilia; Rina Filia Sari
ZERO: Jurnal Sains, Matematika dan Terapan Vol 1, No 1 (2017): January - June
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (495.845 KB) | DOI: 10.30829/zero.v1i1.1458

Abstract

Implementation of the PageRank algorithm to rank web generally only contain static and dynamic pages, with the rapid url users then needed an algorithm for calculating web rankings. In determining the ranking of a web, links incoming and outgoing links are also random surfer model is one decisive factor in determining the ranking of a web. Implementation of PageRank on MATLAB formed on a program in the m-file.
Monte Carlo Simulation Of Estimating Clean Water Supplies Fajari Husnul Walid; Sajaratud Dur; Rima Aprilia
ZERO: Jurnal Sains, Matematika dan Terapan Vol 5, No 1 (2021): Zero: Jurnal Sains Matematika dan Terapan
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30829/zero.v5i1.11099

Abstract

Estimates are important tools in effective and efficient planning for predicting future events. Identical estimates of the future values of a variable for planning or decision making of a situation to estimate future values. Monte Carlo simulation is a simulation model that involves a series of random and sampling with a probability distribution that can be known and determined, then this simulation can be used. In this study, data is taken from the amount of water usage in PDAM Tirtanadi H.M branch. Yamin, North Sumatra from January 2018 to June 2019. Then, the data is processed and analyzed using Monte Carlo Simulation to determine the forecast results in the years that follow. The result is an estimated amount of water usage in 2019 and 2020 at PDAM Tirtanadi H.M branch. Yamin, North Sumatra is 8,604,556 and 8,592,873. The estimated amount of water use is down from the amount of water use in 2018 which reached 8,685,356. The amount of water usage in 2018, 2019 and 2020 decreases by about .
ALGORITMA MODEL PENENTUAN LOKASI FASILITAS TUNGGAL DENGAN PROGRAM DINAMIK Firmansyah Firmansyah; Rima Aprilia
ALGORITMA : JURNAL ILMU KOMPUTER DAN INFORMATIKA Vol 2, No 1 (2018): April 2018
Publisher : UIN Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (385.687 KB) | DOI: 10.30829/algoritma.v2i1.1613

Abstract

Facility plays an important role of the real world, the facility is no longer a secondary requirement but becomes a primary need. Provision of facilities from any company requires a competitive location, so that the facilities provided can be useful for others. Dynamic Programming was once used to determine the best opening schedule of Subset as an "optimal" location and relocation strategy for planning. So in this research done determination of location of facility and its relocation with dynamic programming so hopefully can use optimal budget with optimal time.Keywords: Facility Location, Dynamic Programming
REGRESI PROBIT BINER PADA FAKTOR-FAKTOR YANG MEMPENGARUHI KEEFEKTIFAN PEMBELAJARAN PADA MASA COVID-19 Husnul Fadhillah; Fibri Rakhmawati; Rima Aprilia
Math Educa Journal Vol 6, No 1 (2022)
Publisher : Universitas Islam Negeri Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/mej.v%vi%i.3871

Abstract

Online learning or distance learning is learning that utilizes technology whose teaching materials are sent using an online system. This learning system is an implementation of distance education carried out to try to prevent the spread of COVID-19. This study was conducted to find out what factors affect the effectiveness of learning during the COVID-19 pandemic. The data used is primary data by distributing google forms to students who are respondents at the Faculty of Science and Technology UIN North Sumatra Medan with the response variable is the effectiveness of the online learning system where (1) for effective and (0) for less effective using the probit regression method binary. The predictor variables used were the use of learning strategies, accuracy in mastering behavior, learning curriculum, student motivation, technology literacy and learning evaluation. The amount of data collected is 400 respondents with the results of the study at a significance level of 0.05 that the factors that affect the effectiveness of learning during the COVID-19 pandemic are the use of learning strategies and literacy of technology with a classification accuracy of 91.75%.