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Analisis Kualitas Jaringan Internet Kampus Universitas Islam Negeri Sultan Syarif Kasim Riau Menerapkan Metode Quality of Service(QoS) Haikal Zikri; Iwan Iskandar; Pizaini Pizaini
JURIKOM (Jurnal Riset Komputer) Vol 9, No 5 (2022): Oktober 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v9i5.4930

Abstract

Universitas Islam Negeri Sultan Syarif Kasim Riau (UIN SUSKA RIAU) memiliki akses jaringan internet di beberapa Gedung yang telah terhubung dengan server. Fasilitas internet yang disediakan dapat diakses seluruh civitas akademik kampus, berupa Kabel LAN dan berbasis wireless. Namun pada ISP yang berbeda dari sebelumnya, dalam penggunaan jaringan internet kampus terkadang mahasiswa mengeluhkan tentang fasilitas internet yang ada, mulai dari internet yang lambat, tidak dapat tersambung ke internet, jaringan putus-putus, dan belum mencakup ke seluruh Gedung yang ada di lingkungan kampus Universitas Islam Negeri Sultan Syarif Kasim Riau. Untuk mengetahui seberapa besarnya kualitas layanan internet kampus, dilakukan penelitian QoS (Quality of Service) dengan parameter yang digunakan yaitu: troughput, delay, jitter, dan packetloss. Pengukuran parameter QoS menggunakan aplikasi wireshark  dilakukan pada setiap Gedung Fakultas yang telah terhubung dengan server kampus dengan rentang waktu pelayanan jam sibuk dan jam sepi setiap harinya pada jam kerja. Berdasarkan hasil penelitian yang telah dilakukan menunjukkan bahwa kualitas jaringan internet kampus Universitas Islam Negeri Sultan Syarif Kasim Riau secara keseluruhan dengan kategori Bagus menurut standar ETSI.
Desain Sistem Pemasaran Produk UMKM dengan Konsep UI/UX Menggunakan Metode Design Thinking Bebi Oktaviani; Reski Mai Chandra; Muhammad Irsyad; Pizaini Pizaini
Journal of Information System Research (JOSH) Vol 4 No 3 (2023): April 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josh.v4i3.3387

Abstract

The contribution of UMKM to the Indonesian economy has a major role in increasing economic growth in Indonesia. The development of UMKM in Indonesia has always been a special concern of many Indonesian citizens, including the government itself. Therefore, we conducted this research with the hope that the resulting product can provide solutions according to the needs and desires of users. This research focuses on system development for marketing UMKM products by designing UI and UX using the Design Thinking method. This Design Thinking method is a comprehensive thinking process that focuses on finding solutions with an empathetic process for a particular human-centered need. This method has 5 stages, namely Empathize, Define, Ideate, Prototype, and Testing. The testing method used is the SUS (System Usability Scale) method. System recommendations built in the form of a prototype using the Figma application. The feature that distinguishes this application from other applications is the AR feature to clearly see the product to be purchased. In addition, users can also choose souvenirs typical of an area by pressing directly from the interactive map provided. The prototype that was built was successfully tested on 10 respondents with an application prototype worth 87.
Penerapan Seleksi Fitur Untuk Klasifikasi Penerima Bantuan Sosial Pangkalan Sesai Menggunakan Metode K-Nearest Neighbor Muhammad Fauzan; Siska Kurnia Gusti; Jasril Jasril; Pizaini Pizaini
Jurnal Sistem Komputer dan Informatika (JSON) Vol 5, No 1 (2023): September 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v5i1.6654

Abstract

The inability to fulfill basic human needs is how poverty is defined. To address this issue, the indonesian goverment implements various social assistance programs, one of which is Kartu Indonesia Pintar (KIP), aimed at providing free education to children aged 7-18 who are economically disadvantaged. However, in the distribution of aid in the Pangkalan sesai sub-district, distributing officers often face challenges due to the high number of eligible recipients applying, complex data requierements, and limited time for the officers. Distributing this social assistance accurately is crusial. Therefore, this research aims to determine the accuracy value for the data of potential recipients of the Kartu Indonesia Pintar (KIP to enhance the data verification process’s outcomes. To tackle this issue, the research employs the K-Nearest Neighbor (K-NN) algoritm and also employs feature selection using Information Gain to reduce less influential attributes. The data used consists of 1998 records of KIP beneficiaries from the 2023 in excel format, with 33 attributes. After performing data cleaning an Information Gain-based feature selection, the dataset is reduced to 1675 records, with 5 selected attributes. The best classification result in this study is achieved with ratios of 7:3 and 8:2, and a value of k = 5, yielding the highest accuracy of 98,21%. The lowest accuracy is obtained using a ratio of 9:1 with the same k value when not using Information Gain, resulting in an accuracy of 89,82%.
Penerapan Algoritma Apriori Pada E-commerce Elektronik Nur Iza; Alwis Nazir; Iwan Iskandar; Elvia Budianita; Pizaini Pizaini
Journal of Computer System and Informatics (JoSYC) Vol 4 No 3 (2023): May 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v4i3.3403

Abstract

Because there are so many advantages to using e-commerce, it is now expanding quickly. E-commerce, particularly for electronic items, makes it simpler for customers to execute transactions without traveling. Because businesses (business actors) do not yet have a pattern and strategy for the products they sell, the use of e-commerce has not yet reached its full potential. As a result, sales occasionally suffer because the supply of products does not meet consumer needs, forcing consumers to leave without purchasing these products, which has an impact on transactions. sales firm. Businesses (businesspeople) must use data mining to implement data processing. For this reason, researchers use an application strategy that is appropriate in this situation: the a priori algorithm. Finding frequent itemsets that frequently show up in the data set with the strongest pattern is frequently done using the a priori algorithm. This algorithm's output can be used to assist management in making decisions. According to the study's findings, the rule "if you buy AA Batteries (4-pack), you will buy AAA Batteries (4-pack), "if you buy AA Batteries (4-pack), you will buy a USB-C Charging Cable," and "if you buy AA Batteries (4-pack) and AAA Batteries (4-pack), you will buy a USB-C Charging Cable" all have a support and confidence value of 100%.
Implementasi AES ECB dan Hashing MD5/SHA-256 Pada Aplikasi Penyuratan Android Fajar Febriyadi; Fitra Kurnia; Nazruddin Safaat Harahap; Febi Yanto; Pizaini Pizaini
Journal of Computer System and Informatics (JoSYC) Vol 5 No 1 (2023): November 2023
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/josyc.v5i1.4505

Abstract

The Riau Ministry of Religion Regional Office is still archiving assignment letters and official travel letters manually. The staff who take care of the correspondence section, namely personnel and legal unit staff, do not have an application that facilitates the activities of assignment letters and official travel letters to simplify filing and data containing certain information contained in letters which include assignment letters and official travel letters. Security is important because it relates to data. Therefore, a correspondence application was created to support the correspondence activities of the Riau Ministry of Religion Regional Office and make it easier for staff in the Civil Service and Legal unit to properly manage assignment letters and official travel letters as well as control books. Android application development uses the waterfall method and the ECB (Electronic Code Book) mode AES algorithm and MD5/SHA-256 hashing for security. By building this application, it will be easier for leaders and employees to exchange letters and confidential information, guaranteed security and the application built can be used by users easily. The results of the Black Box testing carried out on the application produced the expected output and the UAT test obtained a score of 89%. Application testing on sentences, Jpg, Png and PDF files has a fairly high level of security using statistical analysis methods, namely bit frequency testing, autocorrelation, 0/1 bit distribution, entropy.