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Jurnal Ilmu Siber dan Teknologi Digital
Published by Goodwood Publishing
ISSN : -     EISSN : 29867312     DOI : 10.35912/jisted
Core Subject : Science, Education, Engineering,
Computer Science & IT Education Engineering Other
Jurnal Ilmu Siber dan Teknologi Digital (JISTED) is a national, open-access and peer-reviewed journal welcoming high-quality manuscripts of original articles, reports and literature reviews in the field of software engineering and information technology. Jurnal Ilmu Siber dan Teknologi Digital (JISTED) aims to mediate the fresh ideas of researchers and practitioners to accelerate technology and cyber development.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 5 Documents
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Search results for , issue "Vol. 2 No. 2 (2024): Mei" : 5 Documents clear
Exploring Aplikasi Gojek dalam Mencapai Laba Organisasi Hertati , Lesi; Yuliansyah, Yuliansyah
Jurnal Ilmu Siber dan Teknologi Digital Vol. 2 No. 2 (2024): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v2i2.2730

Abstract

Purpose: This study aims to determine e-commerce and organizational performance in terms of organizational profits. As a form of e-commerce, e-commerce has become an integral part of modern business strategies. Organizational performance, which includes operational efficiency and goal achievement, is a key factor in achieving business success. Research methodology: The research method used in this study uses primary data from a questionnaire as a data collection instrument. The research sample was randomly selected from 43 Gojak users at Indo Global Mandiri University. The data used was an exploratory statistical method that measured the relationship between variables. Results: The results indicate that e-commerce and organizational performance contribute to increasing organizational profits. The use of technology can improve customer accessibility, operational efficiency, and an organization's ability to reach global markets. Organizational performance also plays an important role in determining profit levels. Organizations that perform well tend to achieve higher profits by providing a better understanding of the impact of e-commerce. Limitations: The importance of organizational performance in achieving profit goals and managerial roles can help organizations optimize strategies to improve their overall organizational performance and achieve better profits. Contribution: Follow-up studies could explore other aspects of e-commerce and organizational performance as well as consider additional variables to deepen the understanding of this relationship.
Sistem Administrator Debt Recording Berbasis Website pada Toko Serunai Sekayu Syahril, Muhammad; Ramdhani, M.Ficky
Jurnal Ilmu Siber dan Teknologi Digital Vol. 2 No. 2 (2024): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v2i2.3278

Abstract

Purpose: This article aims to develop and implement an administrator system for website-based debt recording that can be used by Toko Serunai Sekayu. Method: The system development method is carried out using a web-based software development approach. Development stages include requirements analysis, system design, implementation, and testing. Results: The result of this research is the successful implementation of a website-based debt recording administrator system for the Serunai Sekayu Shop. This system allows users to record customer debts efficiently and manage this data well. Limitations: The limitation of this system is its dependence on a stable internet connection for optimal access and use of the system. In addition, there may be challenges in integrating with the store's existing systems. Contribution: The main contribution of this article is the development of a specific and applicable system for debt management at Serunai Sekayu stores. This system provides a practical solution for these stores in managing and monitoring customer debt effectively through an easy-to-access web platform.
Clustering Data Stok Penjualan Sparepart Mobil Toyota Bengkel Multi Topindo Menggunakan K-Means Haris, Yusril; Friadi, John; Frederick, Aurora Elsa Shafira; Huda, Dwi Nurul; Romdoni, Mochammad Rizki
Jurnal Ilmu Siber dan Teknologi Digital Vol. 2 No. 2 (2024): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v2i2.3308

Abstract

Purpose: Sales of car spare parts at the Multi Topindo Tanjungpinang Workshop play a vital role in maintaining customer satisfaction in after-sales services. Accurate data analysis is required to increase marketing effectiveness, inventory management, and customer satisfaction. One relevant approach is the application of the K-Means Clustering algorithm, which effectively groups car spare part stock data based on the initial stock and final stock. Using this method, workshops can segment stock inventory based on customer preferences by observing what spare parts are sold frequently by comparing them with the initial stock. This segmentation provides the basis for developing a more efficient sales process and precise stock management. Methodology/approach: The research was carried out at the Multi Topindo Tanjungpinang Workshop with system development developed based on the Rapid Application Development (RAD) methodology, which consists of four stages: identifying goals and information needs, working with users to design the system, building the system, introducing a new system, and carrying out classification. spare parts sales stock data by using the k-means method. Results/findings: The results of segmentation obtained through K-Means Clustering will help in identifying spare part groups based on the clusters that are built. In addition, this algorithm plays a role in managing inventory stock, minimizing the risk of excess or shortage of inventory, and increasing overall operational efficiency. Limitations: The system was developed based on the K-Means Algorithm with Python programming language and Django web framework as a sample of data using a car spare parts sales inventory. Contribution: This research contributes to the Multi-Topindo Tanjungpinang workshop, which can take more appropriate steps to meet customer demand, optimize inventory, and ultimately increase customer satisfaction.
Prediksi Pemakaian Pulsa Listrik Kamar Kos Menggunakan Metode Jaringan Syaraf Tiruan Backpropagation Apriza, Delta; Sutabri, Tata
Jurnal Ilmu Siber dan Teknologi Digital Vol. 2 No. 2 (2024): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v2i2.2654

Abstract

Purpose: Electricity is a crucial necessity, serving as a prerequisite for the smooth, efficient, safe, and comfortable conduct of human life activities. The energy requirements for each household, especially in shared living spaces like dormitories, vary, with residents' behaviors and habits influencing daily electricity usage patterns. Wasteful electricity habits can lead to disadvantages for various parties. To address this, control technology has been developed to reduce the risk of injustice in billing and electricity usage among dorm residents, aiming to optimize electrical load usage. Research Methodology: This research utilizes the backpropagation method to develop a complex calculation model for predicting monthly electricity token expenditures based on daily electricity usage. The methodology involves understanding and analyzing the electricity consumption patterns of dorm residents, implementing the backpropagation algorithm, and testing the model's accuracy in predicting future electricity expenses. Results: The study presents insights gained from applying the backpropagation method, demonstrating its effectiveness in predicting monthly electricity token expenditures. Results include the development of a model that takes into account daily electricity usage patterns, allowing residents to better control and plan their electricity expenses. Limitation: It is important to note that this research is confined to the development of a predictive model using the backpropagation method. Practical implementation and testing of the model in real-world dormitory settings are beyond the scope of this study. Future research and application stages are warranted to validate the model's effectiveness and usability. Contribution: This research contributes by providing a predictive model using the backpropagation method, offering dormitory residents a tool to estimate and control their monthly electricity expenses. The model aims to reduce wasteful electricity practices and promote fair billing, contributing to a more sustainable and equitable electricity usage environment.
Implementasi Sistem Manajemen Asset TI Menggunakan GLPI & FusionInventory Software: Studi Kasus PT. SCN Logistic Group Suroto, Suroto; Yani, Dodi Putra; Fuad, Ahmad; Adyla, M. Faris; Fitrah , Fitrah
Jurnal Ilmu Siber dan Teknologi Digital Vol. 2 No. 2 (2024): Mei
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/jisted.v2i2.3279

Abstract

Purpose: The rapid advancement of technology has led to continuous changes in the IT landscape, making it challenging to maintain an accurate and complete asset inventory. SCN Logistic faces difficulties in tracking the whereabouts of its assets. This study proposes a solution for IT asset management using GLPI software and explores the implementation process. The paper aims to contribute to a deeper understanding of how GLPI software can be used to manage IT assets effectively. Research Methodology: A case study approach was used for this research, focusing on PT. SCN Logistic. Data and documents were collected from various sources. The hardware employed includes a Lenovo ThinkPad L14 with an AMD Ryzen 3 processor, 8 GB RAM, and a 256GB SSD. The software used comprises Linux Ubuntu 23.04, Apache2 web server, MariaDB, PHP, GLPI 9, and Fusion Inventory. Results: The GLPI and FusionInventory software successfully records IT assets, such as computers, automatically and stores them in a database. This outcome achieves the research objectives by providing an efficient IT asset management solution for companies using GLPI software. Limitation: A comparative analysis between IT asset management software was not conducted due to time constraints. Contribution: This study offers several benefits for companies: (1) Reduces security risks and gaps, (2) Improves efficiency and increases productivity, and (3) Minimizes overall costs, particularly in terms of updates and support.

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