Garuda - Garba Rujukan Digital

EXPERIMENTS AND DESCRIPTIVE ANALYSIS IN THE MARIADB DATABASE CLUSTER SYSTEM TO PREPARE DATA AVAILABILITY Widiono, Suyud
Jurnal Internasional Teknik, Teknologi dan Ilmu Pengetahuan Alam Vol 1 No 1 (2019): International Journal of Engineering, Technology and Natural Sciences
Publisher : University Of Technology Yogyakarta

A database server called the Database Management System (DBMS) that relates tables in a database is called the Relational Database Management System (RDBMS). DBMS/RDBMS is a computer program that provides data services for computers or other computer programs. One of the RDBMS type database server (hereinafter referred to as a database server) is MariaDB. The database server is in charge of managing and providing data, so data must always be ready, fast presented, accurate, and safe, it cannot be damaged or even lost. One way to provide this data is to install several database servers using the concept of replication in the Multiple Server Database system. Replication in a cluster server database is a method of installing several database server nodes that allow between node servers to copy each other and distribute data from one node to another database server node, which then synchronizes data between server nodes to maintain data consistency. This study looks for the most optimal number of minimal database server nodes to provide accurate, fast and safe data on the MariaDB Cluster RDBMS. From the results of the replication test from the cluster server database, it can be concluded that the number of 3 (three) node servers can be known to always synchronize and consistency of data between server nodes, so there are 3 (three) nodes of minimum database node with MariaDB RDBMS.

Analysis of Netizen Comments Sentiment on Public Official Statements on Instagram Social Media Accounts Afwan Anggara; Suyud Widiono; Ahmad Tri Hidayat; Sutarman Sutarman
International Journal of Advances in Data and Information Systems Vol. 3 No. 2 (2022): October 2022 - International Journal of Advances in Data and Information System
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25008/ijadis.v3i2.1244

Statements issued by public officials will be pros and cons in the community, there are those who respond positively, negatively or respond neutrally. Likewise on Instagram social media, every statement written on Instagram will get various responses written by netizens in the comment’s column posted. Netizen is an acronym for internet citizens, namely people who are actively using the internet. Due to the large number of comments, it is difficult to see whether the public response is a positive, negative or neutral comment when responding to statements from public officials. Whether the statements issued by public officials through Instagram have a positive, negative or neutral impact, so that if they can be grouped into labels, it can be seen how much public opinion is against these public figures. On social media accounts, not all comments written by netizens have the same writing structure, so we need a mechanism that is able to help analyze comments from netizens by classifying them into positive, negative or neutral response classes. By applying POS Tagging to determine opinion sentences or not and also the Naïve Bayes Classifier method and the tf-idf feature to be able to classify comments into several classes of positive, negative or neutral comments. The classification testing stage uses the cross validation method to test the accuracy of the naive bayes classification algorithm and the tf-idf feature.

Image Encryption using Half-Inverted Cascading Chaos Cipheration Setiadi, De Rosal Ignatius Moses; Robet, Robet; Pribadi, Octara; Widiono, Suyud; Sarker, Md Kamruzzaman
Journal of Computing Theories and Applications Vol. 1 No. 2 (2023): JCTA 1(2) 2023
Publisher : Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/jcta.v1i2.9388

This research introduces an image encryption scheme combining several permutations and substitution-based chaotic techniques, such as Arnold Chaotic Map, 2D-SLMM, 2D-LICM, and 1D-MLM. The proposed method is called Half-Inverted Cascading Chaos Cipheration (HIC3), designed to increase digital image security and confidentiality. The main problem solved is the image's degree of confusion and diffusion. Extensive testing included chi-square analysis, information entropy, NCPCR, UACI, adjacent pixel correlation, key sensitivity and space analysis, NIST randomness testing, robustness testing, and visual analysis. The results show that HIC3 effectively protects digital images from various attacks and maintains their integrity. Thus, this method successfully achieves its goal of increasing security in digital image encryption

Inovasi Teknologi dalam Manajemen Penjualan: Aplikasi Point of Sales Berbasis Web untuk UMKM Andy, Fahryza Andy Maulana; Widiono, Suyud
INFOMATEK Vol 26 No 2 (2024): Desember 2024
Publisher : Fakultas Teknik, Universitas Pasundan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23969/infomatek.v26i2.19007

POS (Point of Sales) adalah inti dari setiap aktivitas penjualan dan merupakan sistem yang mempermudah proses transaksi. Penggunaan aplikasi Point of Sales (POS) menjadi sangat penting dalam dunia bisnis modern karena berfungsi sebagai pusat pengelolaan transaksi serta operasional. Dalam bisnis ritel,Penelitian ini bertujuan untuk merancang dan mengembangkan aplikasi Point of Sales (POS) berbasis web guna meningkatkan efisiensi manajemen penjualan bagi Usaha Mikro, Kecil, dan Menengah (UMKM). Dengan menggunakan framework Laravel versi 10 dan integrasi Payment Gateway Xendit, sistem Point of Sales (POS) ini memungkinkan UMKM mengelola stok, transaksi penjualan, dan pembelian secara real-time. Aplikasi ini dirancang dirancang khusus untuk Toko Makmur guna meningkatkan efisiensi manajemen penjualan Aplikasi ini dirancang untuk mengatasi kendala pada manajemen tradisional yang masih manual, yang cenderung tidak efisien dan rawan kesalahan pencatatan. Pengujian dilakukan menggunakan metode black-box untuk memastikan aplikasi bekerja sesuai dengan spesifikasi yang ditetapkan. Hasil pengujian menunjukkan bahwa aplikasi POS berbasis web ini berhasil memberikan kemudahan, akurasi, dan efisiensi dalam pengelolaan penjualan dan stok barang. Implementasi ini diharapkan tidak hanya mampu meningkatkan produktivitas dan akurasi pencatatan transaksi, tetapi juga mendukung UMKM dalam pengambilan keputusan bisnis berbasis data yang lebih baik.

Aplikasi Kedai Kopi Inovatif dengan Fitur Reservasi Ruangan: Solusi Digital untuk Meningkatkan Pengalaman Pelanggan Ginting, Hanaya Avy Genina Br; Widiono, Suyud
METIK JURNAL Vol 8 No 2 (2024): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v8i2.885

In today's digital era, the coffee shop industry faces the challenge of adapting to the evolving needs of customers. This study aims to develop an effective room reservation system for coffee shops that not only enhances the customer experience but also improves operational efficiency. The system is designed with user-specific needs in mind, including ease of access, an intuitive interface, and integration with digital payment platforms. The system development methodology employs an agile approach, allowing for quick adjustments based on user feedback and responsive iteration. During the development phase, the team focused on refining key features through direct trials and collecting both quantitative and qualitative data from users to ensure the system met their expectations. The research findings show that the implementation of this reservation system successfully reduces customer waiting time, increases satisfaction, and optimizes coffee shop resource management. With significant contributions, this study provides empirical evidence that a digital reservation system can enhance operational efficiency and customer satisfaction, offering practical insights for coffee shop owners to improve their business competitiveness in an increasingly competitive market.

PERANCANGAN APLIKASI POINT OF SALES BERBASIS ANDROID PADA KOMEDI CAFE Pradipta, Rishon; Widiono, Suyud
Djtechno: Jurnal Teknologi Informasi Vol 5, No 3 (2024): Desember
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/djtechno.v5i3.5108

Di tengah perkembangan industri kafe, masih terdapat kafe-kafe yang menghadapi masalah dalam sistem penjualannya. Sistem penjualan manual atau semi-manual masih memberikan masalah seperti antrian panjang, masih adanya kesalahan perhitungan, dan pemrosesan data yang lambat. Oleh karena itu, penelitian ini bertujuan mengembangkan aplikasi sistem point of sales (POS) berbasis android untuk membantu mengatasi permasalahan pada sistem penjualan tersebut dengan memberikan pengalaman penggunaan aplikasi yang mudah dan efisien. Langkah dan metode penyelesaian masalah dalam penelitian ini menggunakan metode deskriptif kualitatif dengan melakukan wawancara dan observasi sebagai data primer serta menggunakan data sekunder berupa studi pustaka dari jurnal. Aplikasi ini dirancang dengan fitur utama seperti pengelolaan transaksi, pengelolaan stok, dan pembuatan laporan transaksi. Hasil menunjukkan bahwa aplikasi yang dikembangkan mampu meningkatkan efisiensi pengelolaan penjualan harian, mengurangi kesalahan perhitungan, dan mempercepat pemrosesan data. Selain itu, antarmuka pengguna yang dirancang dengan baik memberikan pengalaman pengguna yang lebih baik dan mempermudah pemantauan laporan transaksi.

Phishing Website Detection Using Bidirectional Gated Recurrent Unit Model and Feature Selection Setiadi, De Rosal Ignatius Moses; Widiono, Suyud; Safriandono, Achmad Nuruddin; Budi, Setyo
Journal of Future Artificial Intelligence and Technologies Vol. 1 No. 2 (2024): September 2024
Publisher : Future Techno Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/faith.2024-15

Phishing attacks continue to be a significant threat to internet users, necessitating the development of advanced detection systems. This study explores the efficacy of a Bidirectional Gated Recurrent Unit (BiGRU) model combined with feature selection techniques for detecting phishing websites. The dataset used for this research is sourced from the UCI Machine Learning Repository, specifically the Phishing Websites dataset. This approach involves cleaning and preprocessing the data, then normalizing features and employing feature selection to identify the most relevant attributes for classification. The BiGRU model, known for its ability to capture temporal dependencies in data, is then applied. To ensure robust evaluation, we utilized cross-validation, dividing the data into five folds. The experimental results are highly promising, demonstrating a Mean Accuracy, Mean Precision, Mean Recall, Mean F1 Score, and Mean AUC of 1.0. These results indicate the model's exceptional performance distinguishing between phishing and legitimate websites. This study highlights the potential of combining BiGRU models with feature selection and cross-validation to create highly accurate phishing detection systems, providing a reliable solution to enhance cybersecurity measures.

Development of an Android-Based Food Ordering Application Using the Bubble Sort Algorithm with Database Integration and Electronic Payment Methods Ramadhan, Reza Pajri; Widiono, Suyud
Journal of Scientific Research, Education, and Technology (JSRET) Vol. 3 No. 4 (2024): Vol. 3 No. 4 2024
Publisher : Kirana Publisher (KNPub)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58526/jsret.v3i4.599

In the era of rapidly advancing technology, mobile applications have become an essential need for modern society, including in the restaurant sector, which heavily relies on speed and service efficiency. This research aims to design an Android-based application using the Kotlin method to simplify the process of ordering food and beverages in restaurants. Currently, many restaurants lack an easily accessible queue system, resulting in orders being served based on processing convenience rather than queue order, which negatively impacts service evaluations. This application is designed to enable customers to place orders quickly and efficiently, monitor order statuses, and assist restaurants in optimizing service processes. With the features offered, this application is expected to enhance customer satisfaction while supporting increased business profitability through more structured and customer-oriented service.

Optimization of Direct Sales and Sales Canvasser Sales Target Monitoring With RESTful API Implementation on Web-Based Monitoring System Friwaldi, Restian Dwi; Widiono, Suyud
Journal of Applied Informatics and Computing Vol. 8 No. 2 (2024): December 2024
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v8i2.8644

RESTful API offers advantages in real-time data exchange, scalability, and ease of integration with other systems. This research aims to develop a web-based monitoring system using RESTful API to optimise the monitoring of direct sales targets and sales canvassers at. This system is built with Laravel framework and Agile method, focusing on ease of use and real-time data access. Tests were conducted using Apache JMeter with load scenarios of 500, 750, and 1000 users. The test results showed response times of 758 ms for 500 users, 762 ms for 750 users, and 880 ms for 1000 users, all below the target of 900 ms. The error rate was recorded at 0.00%, indicating the high reliability of the system. The throughput achieved was 90.30 requests per second for 500 users, 124.30 requests per second for 750 users, and 159.10 requests per second for 1000 users, exceeding the target of 150 requests per second. Recommendations for further development are the integration of mobile applications for accessibility and real-time monitoring of sales performance.

Aplikasi Kedai Kopi Inovatif dengan Fitur Reservasi Ruangan: Solusi Digital untuk Meningkatkan Pengalaman Pelanggan Ginting, Hanaya Avy Genina Br; Widiono, Suyud
METIK JURNAL (AKREDITASI SINTA 3) Vol. 8 No. 2 (2024): METIK Jurnal
Publisher : LPPM Universitas Mulia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47002/metik.v8i2.885

In today's digital era, the coffee shop industry faces the challenge of adapting to the evolving needs of customers. This study aims to develop an effective room reservation system for coffee shops that not only enhances the customer experience but also improves operational efficiency. The system is designed with user-specific needs in mind, including ease of access, an intuitive interface, and integration with digital payment platforms. The system development methodology employs an agile approach, allowing for quick adjustments based on user feedback and responsive iteration. During the development phase, the team focused on refining key features through direct trials and collecting both quantitative and qualitative data from users to ensure the system met their expectations. The research findings show that the implementation of this reservation system successfully reduces customer waiting time, increases satisfaction, and optimizes coffee shop resource management. With significant contributions, this study provides empirical evidence that a digital reservation system can enhance operational efficiency and customer satisfaction, offering practical insights for coffee shop owners to improve their business competitiveness in an increasingly competitive market.

Title

Found 16 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 16 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 16 Documents
Search