cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
Fifi Syafrina
Contact Email
jcbd@delitekno.co.id
Phone
+6287869230953
Journal Mail Official
jcbd@delitekno.co.id
Editorial Address
Jl. Lapangan Bola Gg Rosela No.3, Dalu XB, Tanjung Morawa, Kab. Deli Serdang, Prov. Sumatera Utara, Indonesia 20362
Location
Kab. deli serdang,
Sumatera utara
INDONESIA
Journal of Computers and Digital Business
Published by PT Delitekno Media Mandiri
ISSN : -     EISSN : 28303121     DOI : 10.56427
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Journal of Computers and Digital Business is an interdisciplinary and open access journal covering Computers and Digital Business. The Journal of Computers and Digital Business is open to submission from experts and scholars in the wide areas of Information System, Security, Artificial Intelligent , Cloud Computing, Machine Learning, Digital Business Technology and other areas listed in the focus and scope of this journal. Focus and Scope Information System Information Security Information Retrieval Geographic Information System Fuzzy Logics Genetic Algorithms Neural Networks Machine Learning Decision Support System Data Mining Cloud Computing E-Learning E-Goverment E-Commerce E-Business Digital Business Management Digital Business Technology Digital Business Analysis & Design Big Data & Business Intelligence Cyber Security for Digital Business
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 5 Documents
 1 
Search results for , issue "Vol. 3 No. 3 (2024)" : 5 Documents clear
Comparison Classification Of Tomatoes Ripeness Based On RGB, HSV And CMYK Colors Based On Correlation Coefficient Kiswara Agung Santoso; Kamsyakawuni, Ahmad; Siti Virna Rohmatul Izza
Journal of Computers and Digital Business Vol. 3 No. 3 (2024)
Publisher : PT. Delitekno Media Madiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v3i3.410

Abstract

This article discusses the classification of tomato fruit maturity based on color space. Several studies have been conducted to measure maturity levels using RGB and HSV color spaces. In this article, researchers classify the ripeness of tomatoes using the CMYK color space, which researchers have never done before. Next, the classification results of the CMYK color space are compared with the RGB and HSV color spaces. The CMYK color space is a secondary color commonly seen by the human eye. CMYK colors are colors produced from a combination of RGB colors. Comparison of classification results based on CMYK, RGB, and HSV color spaces was carried out using the correlation coefficient and mean square error (MSE). The correlation coefficient is a method that is often used to measure the similarity between 2 images, where the closer to 0 the correlation value, the better
Perkembangan Digital Marketing Menggunakan Metode Systematic Literatur Review Tamin, Zulfiqar; Jhon Veri
Journal of Computers and Digital Business Vol. 3 No. 3 (2024)
Publisher : PT. Delitekno Media Madiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v3i3.593

Abstract

Strategi digital marketing seperti SEO, SMM, Content Marketing, Email Marketing, Influencer Marketing, dan Affiliate Marketing diteliti menggunakan metode Systematic Literature Review (SLR). Meninjau berbagai literatur, penelitian ini bertujuan untuk memahami efektivitas dan penerapan masing-masing strategi dalam konteks bisnis yang berbeda. Hasil penelitian menunjukkan bahwa SEO tetap esensial untuk meningkatkan visibilitas online dan menarik lalu lintas organik ke situs web. SMM memainkan peran krusial dalam membangun hubungan dengan pelanggan dan meningkatkan brand awareness melalui platform media sosial. Content Marketing efektif dalam menciptakan nilai tambah bagi audiens dan memperkuat kredibilitas merek. Email Marketing, meskipun tradisional, masih unggul dalam personalisasi dan retensi pelanggan. Influencer Marketing semakin populer dengan memanfaatkan pengaruh individu berpengaruh untuk menarik perhatian audiens target. Affiliate Marketing menyediakan peluang kolaboratif antara perusahaan dan afiliasi untuk mendorong penjualan melalui komisi. Penelitian ini menyimpulkan bahwa kombinasi berbagai strategi digital marketing dapat memberikan keuntungan signifikan bagi bisnis dalam mencapai tujuan pemasaran mereka. Temuan ini menekankan pentingnya memahami karakteristik dan potensi setiap strategi untuk merancang kampanye pemasaran yang lebih efektif.
Tracking Public Interest Through Google Trends: Comparative Analysis of Global Movements Nanayakkara, Amila; B.T.G.S.Kumara; R.M.K.T.Rathnayaka
Journal of Computers and Digital Business Vol. 3 No. 3 (2024)
Publisher : PT. Delitekno Media Madiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v3i3.597

Abstract

This paper examined the digital dynamics of three significant social justice movements: Black Lives Matter (2020), South African unrest (2021), and Mahsa Amini protests (2022) through the lens of Google Trends analysis. By tracking search interest patterns during key events, the study explored how each movement gained momentum and sustained visibility online. The analysis revealed distinct public engagement patterns for each movement: The Black Lives Matter movement experienced global peaks in search interest, with sustained attention driven by discussions on police reform and racial justice. The South African unrest saw sharp, localized spikes in search activity, particularly during moments of heightened tension such as the looting incidents and the government’s deployment of the military. The Mahsa Amini protests demonstrated sustained, high-level interest globally, with search trends reflecting the growing international focus on human rights and state repression in Iran. The findings highlighted how search engines like Google played a pivotal role in amplifying these movements, documenting societal reactions, and shaping the global public discourse. This study underscored the power of digital platforms to reflect and influence the trajectory of social movements across different political and cultural contexts.
Double Moving Average and Double Exponential Smoothing Method in Sales Forecasting Mutia; Ibrahim Iskandar; Sunilfa Maharani Tanjung
Journal of Computers and Digital Business Vol. 3 No. 3 (2024)
Publisher : PT. Delitekno Media Madiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v3i3.599

Abstract

At present, predictions concerning sales are predominantly based on historical sales data, a practice that frequently yields inaccurate results. Such inaccuracies can lead to substantial financial losses, compelling organizations to lower the capital expenditures associated with certain products to offset these losses. This issue primarily arises from the failure to employ an appropriate forecasting methodology, resulting in estimations that lack reliable analytical foundations. This research aims to evaluate the efficacy of the Double Moving Average method compared to the Double Exponential Smoothing technique for sales forecasting, specifically through a case study involving herbal products. This study also seeks to analyze and compute the Mean Absolute Percentage Error (MAPE) for each forecasting method based on prior observations and research. The analysis draws on a dataset comprising 200 sales transactions from the five top-selling products collected between April 2022 and April 2024. The outcomes of this investigation provide MAPE values derived from the sales data, followed by a comprehensive summation of the calculated MAPE for each method. For June 2024, the results recorded are slightly higher in some cases. For example, the DES result for HNI Eucalyptus Oil was 42.65 with a MAPE of 0.46, while the DMA was 44.44 with a MAPE of 0.44.
Selection of Marketing Staff Using Simple Additive Weight and VIKOR Algorithm Muhammad Ali; Nurhayati; Ayu Azzahra Batubara
Journal of Computers and Digital Business Vol. 3 No. 3 (2024)
Publisher : PT. Delitekno Media Madiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56427/jcbd.v3i3.600

Abstract

In today’s rapidly evolving technological landscape, decision-making processes within organizations are increasingly relying on advanced computational methods to enhance efficiency and accuracy. This is particularly relevant in human resource management, where selecting suitable candidates for key positions is critical. Traditional methods of staff recruitment often rely on subjective assessments, which may lead to biases and inconsistencies. To address these challenges, this study proposes the use of the Simple Additive Weighting (SAW) and VIKOR (Vise Kriterijumska Optimizacija I Kompromisno Resenje) algorithms as multi-criteria decision-making tools for selecting marketing staff. The SAW method offers a straightforward approach by assigning weighted scores to various criteria. In contrast, the VIKOR method provides a ranking system that considers ideal and compromise solutions for candidate selection. Integrating these two algorithms makes the selection process more objective and data-driven, reducing the risk of human error and improving overall decision quality. This paper outlines implementing the combined SAW-VIKOR model in the marketing staff recruitment process, highlighting its potential to optimize candidate evaluation and selection. The results demonstrate that utilizing these algorithms enhances the decision-making process, leading to better alignment of selected staff with organizational goals. This approach is valuable for organizations looking to leverage technology in their recruitment strategies.

Page 1 of 1 | Total Record : 5

 1 

Filter by Year

2024 2024


Reset
Filter By Issues
All Issue Vol. 4 No. 3 (2025) Vol. 4 No. 2 (2025) Vol. 4 No. 1 (2025) Vol. 3 No. 3 (2024) Vol. 3 No. 2 (2024) Vol. 3 No. 1 (2024) Vol. 2 No. 3 (2023) Vol. 2 No. 2 (2023) Vol. 2 No. 1 (2023) Vol. 1 No. 2 (2022) Vol. 1 No. 1 (2022) More Issue