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All Journal Jurnal Edukasi dan Penelitian Informatika (JEPIN) CESS (Journal of Computer Engineering, System and Science) INFORMAL: Informatics Journal JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Techno Nusa Mandiri : Journal of Computing and Information Technology ILKOM Jurnal Ilmiah INFOKUM Jurnal Computer Science and Information Technology (CoSciTech) jeti TECHSI - Jurnal Teknik Informatika
Novia Hasdyna
Faculty Of Computer Science And Multimedia, Universitas Islam Kebangsaan Indonesia
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Other

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Journal : INFORMAL: Informatics Journal

 1 
Analisis K-Means Clustering pada Data Sepeda Motor Rozzi Kesuma Dinata; Safwandi Safwandi; Novia Hasdyna; Nur Azizah
INFORMAL: Informatics Journal Vol 5 No 1 (2020): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v5i1.17071

Abstract

K-Means is a data mining algorithm that can be used to grouping or clustering data. This research using k-means for clustering the data of motorcycle based on consumer needs. The dataset used in this research is Honda and Yamaha motorcycle which taken from the dialers in Dewantara District, Aceh. The data tested by grouping 300 data of motorcycle with different attributes into 3 clusters, which are cheap, normal, and expensive. The distribution of the data we separate it using 45 data in 15 times of test. Each test used 3 different data randomly selected on each test. To calculate the distance of each motorcycle data that have been inputted to each centroid, we used the Euclidean Distance formula. Data in this cluster system can be used as a recommendation for users in selecting the motorcycle that they interest the most. The results of the performance on each test finished in 15 times shown that the average value of Precision by 76%, Recall by 76% and the accuracy by 81%.
Implementasi Sistem Informasi Monitoring Kendaraan Dinas Terintegrasi Pada Bank Indonesia Lhokseumawe Mutasar Mutasar; Novia Hasdyna; Akbar Arafat
INFORMAL: Informatics Journal Vol 5 No 2 (2020): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v5i2.18696

Abstract

A monitoring system is needed to monitoring vehicle’s daily activities at Bank Indonesia Lhokseumawe. The management of vehicle’s daily activities in the Representative Office of Bank Indonesia Lhokseumawe is still using manual handwritting’s records on some books, which is making it difficult to retrieve the required data quickly and accurately. To assist in carrying out the objection given, the authors designed an integrated information system which capable to monitoring vehicle’s daily activities. The Information system based on web and gps for android.
Algoritma Honey Encryption dalam Sistem Pendataan Sertifikat Tanah dan Bangunan di Universitas Malikussaleh Sujacka Retno; Novia Hasdyna; Mutasar Mutasar; Rozzi Kesuma Dinata
INFORMAL: Informatics Journal Vol 5 No 3 (2020): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v5i3.20804

Abstract

The management of Land and Building Certificates at Universitas Malikussaleh is still using a manual library in Biro Perlengkapan which contains some problem whereas it can be burned accidentally refers to fire case in 2017 in Rektorat Building at Universitas Malikussaleh. Given the problem faced by the staff in Biro Perlengkapan, the authors idea is to create a database-based data processing system, the authors designed an integrated information system which be able to anticipated such problem in the future and saving time to collecting important certificates such Land and Building Certificates at Universitas Malikussaleh and protecting them with Honey Encryption algorithm. The information system based on desktop and works as a client-server system. The result of this research provide that the honey encryption algorithm can protect the data and it can solve the problem in management system of land and building certificates.
Analisis Matthew Correlation Coefficient pada K-Nearest Neighbor dalam Klasifikasi Ikan Hias Novia Hasdyna; Rozzi Kesuma Dinata
INFORMAL: Informatics Journal Vol 5 No 2 (2020): INFORMAL - Informatics Journal
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v5i2.18907

Abstract

K-Nearest Neighbor (K-NN) is a machine learning algorithm that functions to classify data. This study aims to measure the performance of K-NN algorithm by using Matthew Correlation Coefficient (MCC). The data that used in this study are the ornamental fish which consisting of 3 classes named Premium, Medium, and Low. The analysis results of the Matthew Correlation Coefficient on K-NN using Euclidean Distance obtained the highest MCC value in Medium class which is 0.786542. The second highest MCC value is in Premium class which is 0.567434. The lowest MCC value is in Low class which is 0.435269. Overall, the MCC values is statistically which is 0,596415.
Sistem Penentuan Prioritas Penerima Rehab Rumah Dhuafa Menggunakan Metode TOPSIS Berbasis Web Novia Hasdyna; Teuku Irfan Fajri; Muhammad Jabar
INFORMAL: Informatics Journal Vol 8 No 1 (2023): Informatics Journal (INFORMAL)
Publisher : Faculty of Computer Science, University of Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/isj.v8i1.33057

Abstract

The process of selecting candidates for home rehabilitation of Dhuafa in Desa Ulee Nyeue, Kec. Banda Baro, Aceh Utara still using a manual process and by a subjective assessment. In this study the authors designed a decision support system to determine the candidates for home rehabilitation of Dhuafa in Desa Ulee Nyeue, Kec. Banda Baro using TOPSIS method. The criteria we used in the decision support system process are the area of the house, house building materials, type of floor, occupation and income. In this decision support system, it is supported by a method in making decisions, that is a web- based Topsis method which can support data processing. The sample data analyzed by using Topsis method in this research obtained that several people who had the priority to receive the housing rehabilitation of dhuafa assistance based on the preference value of each alternative are Fatimah Ben, which has a value of 0.534110001, Habsah with a value of 0.481135666 and Mawardi with a value of 0.629027038. Habsah with a value of 0.481135666 and Mawardi with a value of 0.629027038. The final result of this research is that the system built can help the selection team for home rehabilitation of dhuafa in Desa Ulee Nyeue, Kec. Banda Baro, Aceh Utara to make the process of determining more accurate.
Co-Authors Akbar Arafat Akbar, Hafizal Fajriana, Fajriana Hafizal Akbar Haried Novriando Muhammad Alif Muhammad Jabar Muhammad Nurfahmi Mutasar Nur Azizah Nurwijayanti Rizal S.Si., M.IT, Rizal Rozzi Kesuma Dinata Safwandi Safwandi Safwandi Safwandi Sujacka Retno T. Irfan Fajri Zulfa Zulfa