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.

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.

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.

Performance Evaluation of RESTful API in Sales Target Monitoring System for Direct Sales and Sales Canvassers Widiono, Suyud; Friwaldi, Restian Dwi; Anggara, Afwan
Jurnal Informatika Vol 12, No 2 (2025): October
Publisher : Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/inf.v12i2.25747

In an increasingly competitive digital era, manual sales target monitoring often leads to delayed information and inefficiency in decision-making. This research aims to develop a web and mobile-based sales target monitoring system integrated with RESTful API to enhance the efficiency of monitoring the performance of direct sales and sales canvassers. The system is developed using the Laravel framework for the back-end and Flutter for the mobile application, with Agile methodology applied in the development process. Testing is conducted using the Black Box Testing method to ensure the accuracy of system functionalities, including user authentication, sales data management, and sales target monitoring. Additionally, load testing is performed using Apache JMeter with scenarios of 500, 750, and 1000 users. The test results show that the system has stable performance with an average response time of 758 ms for 500 users, 762 ms for 750 users, and 880 ms for 1000 users, all below the threshold of 900 ms. The error rate is recorded at 0.00%, and the system throughput exceeds the set target, indicating the system's reliability in handling simultaneous user requests. The conclusion of this research shows that the implementation of RESTful API in the sales monitoring system can improve operational efficiency, enable real-time data exchange, and support faster, data-driven decision-making. As a recommendation, further development could include broader integration with mobile applications and the implementation of AI-based analytics for sales strategy optimization.

APLIKASI GAMIFY PELATIHAN SUMBER DAYA MANUSIA (SDM) KARYAWAN MENGGUNAKAN METODE USER CENTERED DESIGN (UCD) Nugraha, Havin Neo Dimas; Widiono, Suyud
JOISIE (Journal Of Information Systems And Informatics Engineering) Vol 8 No 2 (2024)
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/joisie.v8i2.4715

Setiap perusahaan memiliki visi dan misi untuk mendukung kemajuan dan pengembangan bisnis. Sumber Daya Manusia (SDM) menjadi bagian penting yang layak mendapatkan perhatian. Perusahaan memiliki kebutuhan penting untuk menyiapkan program pelatihan dan pengembangan dalam rangka menyiapkan SDM yang berkualitas dan kompeten. Pada perusahaan masih menggunakan metode pelatihan konvensional sehingga karyawan yang mengikuti kegiatan cenderung rendah tingkat keterlibatannya dan rendah motivasi. Pelatihan konvensional sering kali dianggap membosankan dan kurang interaktif sehingga menyebabkan karyawan tidak sepenuhnya memahami materi yang diajarkan. Akibatnya, kualitas pelatihan menurun dan perusahaan kesulitan dalam mengidentifikasi karyawan yang berbakat dan kompeten. Untuk menangani masalah sistem yang masih konvensional perlu dilakukan penelitian untuk menciptakan sistem baru yang dapat membantu mengelola SDM pada perusahaan. Metode gamifikasi dengan penggunaan elemen-elemen permainan dalam konteks non-permainan untuk meningkatkan keterlibatan dan motivasi karyawan ketika menggunakan sistem dalam bentuk aplikasi. Metode pengembangan perangkat lunak yang digunakan adalah metode User Centered Design (UCD). Sistem dibuat dalam bentuk situs web dengan menggunakan bahasa pemrograman PHP, dan database MySQL untuk mengelola data-datanya. Ketika aplikasi sudah jadi, maka pengujian dilakukan dengan Black Box Testing. Aplikasi yang dihasilkan dalam bentuk website dilengkapi dengan fitur “Game Play” yang dapat meningkatkan ketertarikan karyawan. Berdasarkan hasil akhir penelitian, aplikasi ini membantu perusahaan dalam mengidentifikasi karyawan yang berbakat dan kompeten, serta meningkatkan efektivitas program pelatihan.

Title

Found 15 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 15 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 15 Documents
Search