Browsing by Author "Astried, Astried"

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    EVALUASI KUALITAS KINERJA WEBSITE REMUNERASI UNIVERSITAS RIAU MENGGUNAKAN METODE WEBQUAL 4.0
    (2021-03) Suwaryon, Rahmi Habibi; Astried, Astried
    This study aims to evaluate and determine user expectations and assessments of website performance, as well as indicators that must be improved to support the improvement of the quality of the remuneration website of the University of Riau. This study uses the webqual 4.0 method for its indicators, then the data is analyzed using Importance Performance Analysis. The questionnaire was distributed to 13 active lecturers who teach in the Computer Science department. The results of this study indicate that the overall quality of the performance of the University of Riau remuneration website is in accordance with user expectations. Based on the results of the IPA diagram mapping, although there are no attributes included in quadrant I, improvements can be made to indicators that have a value of < 100% compliance, namely indicator 2, indicator 14 and indicator 15. for indicator 2 access to remunerasi.unri.ac.id TED en can be done quickly, the recommended recommendation is to implement Minify. Minify is the process of reducing repetitive or unnecessary data in HTML, CSS, and JavaScript without reducing the quality that is displayed in the browser. That way the browser will read data on web pages faster. For indicator 14; the website is equipped with a username and password, and indicator 15; users feel safe in submitting personal data, these two indicators are related. The recommended recommendation is to implement Two Factor Authentication. This feature performs the identity verification process 2 times. This feature works by sending a verification code to a phone number that has been previously registered to the account or system.
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    KLASIFIKASI PENJUALAN SEPEDA MOTOR HONDA MENGGUNAKAN METODE K-NEAREST NEIGHBOR
    (wahyu sari yeni, 2019-01-31) Aprilia, Elsia; Astried, Astried
    This research aims to classify of motorcycle sales at CV HONDA MAS dealer using the K-nearest neigbor (KNN) classification methods. In the classification process, the atributes used are the type and sale of motorcycles, and the data used is the last six months, from July to December in 2017, six types of motorcycle using as training data and four types of motorcycle as testing that they will get the classification result that the type of motorcycle that is very sellable is the type of BEAT STREET and VARIO 150 CBS. The results obtained from the study are the accuracy of the classification 100% and error 0%, using coufusion matrix
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    PREDIKSI KELULUSAN MAHASISWA MENGGUNAKAN ALGORITMA K-NEAREST NEIGHBOR PADA PROGRAM STUDI SISTEM INFORMASI UNIVERSITAS RIAU
    (Elfitra, 2022-04) Natasha, Syafira; Astried, Astried
    Student graduation on time is one of the assessments or benchmarks in the college accreditation process. Higher education accreditation assessment is carried out by the National Accreditation Board for Higher Education. The higher the accreditation value, the higher the quality of the university. Graduation rate is very important, it is necessary to determine student graduation. The study focused on predicting student graduation by data mining using the K-Nearest Neighbor algorithm and the accuracy rate of algorithms measured using the Confusion Matrix. This studied used data from students of the Information Systems Study Program of the University of Riau who had graduated from 2014 to 2016 as many as 148 data. The data was shared using K-FOLD to predict student graduation with the highest accuracy rate of 100% on K-FOLD 9.
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    SISTEM INFORMASI GEOGRAFIS MENCARI RUTE SEKOLAH TERPENDEK DENGAN ALGORITMA FLOYD-WARSHALL BERBASIS MOBILE
    (wahyu sari yeni, 2019-01-31) Harman, Robby Dio; Astried, Astried
    High population development in Pekanbaru has caused rapid growth of the school that spreads out even for private senior high school (SMA) and vocational high school (SMK). It is also affected the distance students cover daily to and from school. To solve this problem, it is often necessary to calculate the shortest path through geographic information based on android. One of the practical methods is using the mobile-based Floyd-Warshall algorithm, which is created by applying UML diagrams, Android programming language and MySQL database. The application then recommends the shortest and quickest route to the destination.
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    SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN BIBIT AYAM BROILER MENGGUNAKAN METODE MOORA
    (Elfitra, 2022-04) Hasanah, Niswatun; Astried, Astried
    Broiler is a type of broiler which is the result of crosses from chicken breeds that have high productivity. There are several broiler strains (trademarks) that have been successfully developed in Indonesia such as the CP 707 Strain, Lohman Strain (MB 202), Super Chick Strain, Cobb 500 Strain, Ross Strain, and Hybro Strain. The purpose of this study was to determine the best quality broiler chicks based on a decision support system using the MOORA method. The MOORA method in this decision support system plays a role in generating the value of broiler chicks in accordance with the required criteria. This system is designed using UML diagrams, PHP framework and MySQL database. The results obtained from this study are the alternative that has the highest weight, namely Strain CP 707 with a total value of 0.297139, so that these results can assist farmers in making decisions for determining broiler chicks.
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    SISTEM PENDUKUNG KEPUTUSAN PENENTUAN PENERIMA BANTUAN PROGRAM KELUARGA HARAPAN (PKH) MENGGUNAKAN METODE SMART
    (2020-11) Ramadhany, Icha; Astried, Astried
    Poverty is one of the main problems that is still found in Indonesia. One of the government's efforts in order to accelerate poverty reduction is to implement the assistance of the Harapan Family Program (PKH). Assistance should be given to worthy recipients and deserving of it. However, the determination of beneficiaries still has difficulty due to the large number of participant data and criteria used. Therefore, a decision support system is needed in making it easier to make decisions on the recommendations of PKH beneficiaries. This research aims to create a system of supporting decision-making of PKH beneficiaries using smart methods. The system is built with php programming language, mysql database and uml system design design. The result obtained in this study is that the system is running well and obtained the role of prospective beneficiaries which is seen based on the total value and calculation produced accurately in accordance with the provisions