cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
ccitjournal@raharja.info
Editorial Address
Jl. Jenderal Sudirman No. 40 Modern Cikokol Tangerang - Banten 15117 Indonesia
Location
Kota tangerang,
Banten
INDONESIA
CCIT (Creative Communication and Innovative Technology) Journal
Published by UNIVERSITAS RAHARJA
ISSN : 19788282     EISSN : 26554275     DOI : 10.33050/ccit
Core Subject : Science,
Computer Science & IT
CCIT (Creative Communication and Innovative Technology) Journal adalah jurnal ilmiah yang diterbitkan olehSekolah Tinggi Manajemen Informatika dan Komputer Raharja. CCIT terbit dua kali dalam satu tahun, Setiap Bulan Februari dan Agustus.
Arjuna Subject : -
Articles 420 Documents
 37   38   39   40   41 
Usability Analysis of The Student Service Information System at The Faculty of Engineering Tadulako University Using Heuristic Evolution and The System Usability Scale (SUS) Noviantika, Noviantika; Syahrullah, Syahrullah; Laila, Rahma; Lapatta, Nouval Trezandy; Wirdayanti, Wirdayanti
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 1 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i1.3532

Abstract

The Student Service Information System is defined as a system designed to assist students, faculty, and administration at Tadulako University's Faculty of Engineering in managing various academic aspects. This research identifies issues or obstacles users face while utilizing the website. The usability evaluation employs the Heuristic Evaluation method and the System Usability Scale (SUS). Based on the research conducted with 100 respondents, all active students at Tadulako University, the usability measurements revealed significant findings. According to the Heuristic Evaluation method, which utilizes 10 principles, areas requiring improvement were identified in qualifications B1.2, B3.3, B8.2, B10.2, and B10.3. Recommendations for enhancements include adding a notification feature, ensuring the search function is easily discoverable, selecting appropriate color combinations, and improving the placement of the user guide. The System Usability Scale yielded a score of 50, categorizing the website as "OK" on the adjective scale, "D" on the grade scale, and "Marginal" on the acceptability scale, with a net promoter score indicating a "Passive" reception.
Application of Webqual 4.0 and Importance Performance Analysis Methods in Analyzing The Quality of Information Technology SIPENDEKAR Services Kartika, Rina; Syahrullah, Syahrullah; Rasmita, Hajra; Rinianty, Rinianty; Yanti, Wirda; Lapatta, Nouval Trezandy
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 1 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i1.3569

Abstract

Information technology plays a very important role, especially in the field of education, one of which is through the use of websites. The Department of Information Engineering at Tadulako University is one of the universities that utilizes websites, one of which is the information system for administrative services and final assignments (SIPENDEKAR). Sipendekara is designed to facilitate the submission of titles, guidance, and proposal exams, final exams, and thesis exams. But so far, there has been no research that measures the quality of the sipendekar website based on perceptions of usability, information quality, and service interaction quality using the IPA method. This study aims to determine the quality of Sipendekar services using the webqual 4.0 method as the basis for determining the questionnaire. Then the Importance Performance Analysis method to analyze questionnaire data to identify attributes that have met and have not met user expectations. The results showed an average level of conformity of 92.63%. The average gap analysis result is -0.33. The results of the Cartesian quadrant there are 4 attributes in the first quadrant that are prioritized for improvement and there are 9 attributes that achieve a high level of satisfaction and only need to maintain quality.
Safety Analysis: Rooftop PV System Training Equipment Rumokoy, Stieven Netanel; Warokka, Adriyan; Atmaja, I Gede Para; Gumilar, Lang-lang; Monika, Dezetty
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i1.3538

Abstract

The implementation of PV Rooftop Power Plant systems as an alternative energy source has become increasingly widespread. The growing use of these systems is accompanied by the need for skilled workers with competencies in their installation. To support the development of such competencies, various training equipment designs have been created to enhance workers' skills in rooftop PV installation. This article aims to evaluate Occupational Health and Safety (OHS) aspects in the designed rooftop PV training equipment. The methodology used in this research includes risk analysis through hazard identification, risk assessment, and mitigation recommendations. Data collection was conducted through a literature review related to OHS standards, direct observation of the equipment's use, and interviews with instructors and technicians involved. The research results show that the main risks include Falling Hazards, Electrical Hazards, Mechanical Hazards, Tripping or Snagging Hazards, and Ergonomic Hazards. Risk control measures were implemented by ensuring that the trainees understood work-related risks, using Personal Protective Equipment (PPE), and monitoring the condition of the work area and equipment.
The Effectiveness of Using WordPress-Based Digital Invitations in Social Event Marketing Aini, Qurotul; Santoso, Nuke Puji Lestari; Mustofa, Kenny Ilyas; Apriani, Desy
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 1 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i1.3717

Abstract

Digital marketing plays an important role in enhancing the promotion of social events in the digital era. In an effort to reach a wider audience, WordPress-based digital invitations are one of the potential tools to support marketing effectiveness. This study aims to analyze the extent to which the use of WordPress-based digital invitations can help social event organizers increase audience participation and engagement. This research uses a quantitative descriptive method with data collection through a survey of social event organizers and analysis of traffic and engagement data from the WordPress platform. The data collection process was conducted to understand the impact of WordPress features, such as flexible design, SEO optimization, and social media integration, on social event marketing success. The results showed that WordPress-based digital invitations significantly increased the number of event participants, the level of audience engagement, as well as the perceived professionalism of the event. These findings indicate that WordPress can be an effective strategic tool in digital marketing for social events. In conclusion, WordPress is a platform that can support social event organizers in designing more effective marketing strategies, especially by leveraging its features to optimize the appeal of digital invitations. This research provides practical insights for event organizers and opens up opportunities for further research in similar areas.
Information System Audit for Tangerang Live Application Using Cobit 5 Domain EDM dan APO Framework Dwi, Rosmawati; Afrijaldi, Rizki; Darmawan, Aden Andre; Alamsyah, Muhammad Luki; Auliya, Nur
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3224

Abstract

The Central Government has the ambition to make Indonesia the fourth-largest in the world's economic power through the vision of Indonesia Emas 2045. To achieve this goal, there is a need for the improvement of public services and rapid restructuring of population administration. Within this framework, Tangerang Live, introduced by the Tangerang City Government on August 17, 2016, is designed to provide online services in the fields of population, education, and healthcare. The success of public services is measured as an indicator of Good Governance, with more than 500 thousand users currently, and downloads show an increase influenced by the quality of services and initiatives from the Tangerang City Communication and Informatics Agency. This research aims to evaluate the implementation of IT governance in Tangerang Live, with data collection using Literature Review and Questionnaire through Gform with 24 respondents. This research method refers to the COBIT 5 model, focusing on two COBIT 5 domains, namely EDM and APO, consisting of five subdomains: EDM02, EDM03, APO04, APO05, and APO11. The results of the information system audit on Tangerang Live show an average Maturity Score of 3.77, with details of EDM02 3.74, EDM03 3.75, APO04 3.94, APO05 3.61, and APO11 3.82. In conclusion, the scores generated are at level 4 (managed), indicating that the overall implementation of information technology is quite good, although there are some recommendations for improvement, especially in the APO05 subdomain related to user data management and the efficiency of data usage. These improvements are necessary to enhance the quality of services for Tangerang Live users.
Design of a Portable Power Plant Using Solar and Wind Energy with Hybrid Charge Control Method Vrathama, Brenanda Kristian; Silalahi, Lukman Medriavin
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3450

Abstract

New Renewable Energy is an environmentally friendly solution for electricity generation, particularly through the utilization of wind and solar energy. In Indonesia, which has a tropical climate, both energy sources can reduce dependence on fossil fuels and carbon emissions. This research aims to design a portable power plant that integrates solar and wind energy using the Hybrid Charge Control method.[1] Testing was conducted at two different locations: Pantai Indah Kapuk 2 (PIK2) and VI Rusun Ujung Menteng. The results showed that in PIK2, the solar power plant reached a peak power of 3.459 W at 1:00 PM, while the wind source produced a peak power of 0.66 W at 5:00 PM. At the Rusun Ujung Menteng location, the highest recorded power from the solar panel was 3.048 W at 2:00 PM, and the wind source reached 0.82 W at 5:30 PM. The use of a DC motor in this system increased the voltage to 4 Volts but also presented issues requiring attention in torque management and cable material selection. The Charge Control method was applied to equalize the battery voltage at a level of 12.4 V. The researchers demonstrated the significant potential of portable renewable energy-based power plants for sustainable energy needs in Indonesia.
Comparison of Naive Bayes, Decision Trees and SVM Algorithms for Sentiment Classification of JMO Applications Nasrulloh, Anas; Yusuf, Muhamad; Mas’ud, Ibnu; Toifur, Tubagus; Ikhwanudin, Aolia; Syamhalim, Agianto
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3510

Abstract

In this study, the researchers found that SVM achieved a precision of 0.75 for negative sentiment and 0.93 for positive sentiment, with recalls of 0.86 and 0.94, and f1-scores of 0.80 and 0.94, and an overall accuracy of 0.88. Naive Bayes showed similar results with a precision of 0.74 for negative and 0.93 for positive, recalls of 0.87 and 0.94, f1-scores of 0.80 and 0.94, and an accuracy of 0.88. Meanwhile, Decision Tree had the lowest precision for negative (0.71) and positive (0.91) sentiment, with recalls of 0.73 and 0.93, f1-scores of 0.72 and 0.92, and an accuracy of 0.85. These findings suggest that SVM and Naive Bayes offer excellent performance in sentiment classification, while Decision Tree, while still effective, performed slightly lower. These results provide valuable guidance in selecting the right algorithm for sentiment analysis on app data. This study compares the effectiveness of three machine learning algorithms—Naive Bayes, Decision Trees, and Support Vector Machine (SVM)—in sentiment classification of JMO apps using review data taken from Google Play Store via web scraping and processed with a Python application. The evaluation is done based on precision, recall, f1-score, and accuracy metrics.
Implementation of Lean UX to Improve the Quality of User Experience (Case Study: PT. XYZ) Yusuf, Muhamad; Nasrulloh, Anas; Ikhwanudin, Aolia; Toifur, Tubagus; Ramadhan, Aditya Duta; Mas’ud, Ibnu
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3530

Abstract

The importance of websites in the modern digital world encourages various companies to develop effective user interfaces (UI) and user experiences (UX). This study aims to design the UI/UX design of PT. XYZ's website using the Lean UX method, which focuses on active collaboration with users in developing a Minimum Viable Product (MVP). The Lean UX method involves four main stages: Declare Assumptions, Create MVP, Run Experiments, and Feedback and Research. Testing was carried out using the System Usability Scale (SUS) to measure the level of usability. The results of the study showed that the new UI/UX design significantly improved efficiency and user satisfaction, with a SUS value of 80, which is included in the "Excellent" category. This study makes a significant contribution to website development in the digital sector, especially in designing user-friendly interfaces that are centered on user needs.
Optimization of Student Grade Data Management Using RESTful API and Microservices Architecture : Case Study at Universitas Mitra Indonesia hartanto, M. Budi; Fawaati, Teuku Muhammad; Fahurian, Fatimah; Yunita, Hilda Dwi; Zuhri, Khozainuz
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3603

Abstract

The management of student grade data is a critical component of academic information systems that require high efficiency and reliability. At Universitas Mitra Indonesia, the old monolithic system faced challenges in scalability, security, and accessibility. This study proposes the implementation of RESTful API and microservices architecture to optimize the management of student grade data. RESTful API serves as the primary interface for inter-service communication, while microservices allow for independent management of modules such as user authentication, grade data processing, and academic service provision. Implementation results demonstrate a 35% increase in data access speed, a 25% reduction in server load, and enhanced security through token-based authentication. This study significantly contributes to modernizing academic information systems, especially in improving the performance and scalability of digital academic services.
CNN Algorithm for Herbal Leaf Classification Using MobileNetV2 and ResNet50V2 Pagiu, Harry T.; Kasim, Anita Ahmad; Lapatta, Nouval Trezandy; Pratama, Septiano Anggun; Laila, Rahma
CCIT (Creative Communication and Innovative Technology) Journal Vol 18 No 2 (2025): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v18i2.3776

Abstract

Indonesia is home to over 30,000 types of herbal plants, with approximately 1,200 species utilized as raw materials for alternative and traditional medicine. Leaves play a crucial role in herbal medicine preparation. However, many people struggle to identify different herbal leaves due to their similar appearances, making classification difficult. Each leaf possesses unique characteristics such as shape, size, midrib, stalk, blade, and type, which can be used for differentiation. To assist in identifying herbal leaves, a classification system based on image recognition is essential. Convolutional Neural Networks (CNN) are deep learning algorithms designed for processing two-dimensional image data. Model performance can be enhanced through transfer learning, with MobileNetV2 and ResNet50V2 being widely used architectures. These pretrained models have been trained to recognize images with high accuracy. This study focuses on classifying herbal plants based on leaf shape using CNN architectures from MobileNetV2 and ResNet50V2. The evaluation results show that the MobileNetV2 architecture, with a 90%:10% data split, achieved an accuracy of 98.51%, precision of 98.92%, recall of 98.51%, and an F1-score of 98.56%. These findings indicate that CNN with transfer learning can effectively classify herbal leaves with high accuracy.

Page 39 of 42 | Total Record : 420

 37   38   39   40   41 

Filter by Year

2007 2026


Reset
Filter By Issues
All Issue Vol 19 No 1 (2026): CCIT JOURNAL Vol 18 No 2 (2025): CCIT JOURNAL Vol 18 No 1 (2025): CCIT JOURNAL Vol 17 No 2 (2024): CCIT JOURNAL Vol 17 No 1 (2024): CCIT JOURNAL Vol 16 No 2 (2023): CCIT JOURNAL Vol 16 No 1 (2023): CCIT JOURNAL Vol 15 No 2 (2022): CCIT JOURNAL Vol 15 No 1 (2022): CCIT JOURNAL Vol 14 No 2 (2021): CCIT JOURNAL Vol 14 No 1 (2021): CCIT JOURNAL Vol 13 No 2 (2020): CCIT JOURNAL Vol 13 No 1 (2020): CCIT JOURNAL Vol 12 No 2 (2019): CCIT JOURNAL Vol 12 No 1 (2019): CCIT JOURNAL Vol 11 No 2 (2018): CCIT JOURNAL Vol 11 No 1 (2018): CCIT JOURNAL Vol 10 No 2 (2017): CCIT JOURNAL Vol 10 No 1 (2017): CCIT JOURNAL Vol 9 No 3 (2016): CCIT JOURNAL Vol 9 No 2 (2016): CCIT JOURNAL Vol 9 No 1 (2015): CCIT JOURNAL Vol 8 No 3 (2015): CCIT JOURNAL Vol 8 No 2 (2015): CCIT JOURNAL Vol 8 No 1 (2014): CCIT JOURNAL Vol 7 No 3 (2014): CCIT JOURNAL Vol 7 No 2 (2014): CCIT JOURNAL Vol 7 No 1 (2013): CCIT JOURNAL Vol 6 No 3 (2013): CCIT JOURNAL Vol 6 No 1 (2012): CCIT JOURNAL Vol 5 No 3 (2012): CCIT JOURNAL Vol 5 No 2 (2012): CCIT JOURNAL Vol 5 No 1 (2011): CCIT JOURNAL Vol 4 No 3 (2011): CCIT JOURNAL Vol 4 No 2 (2011): CCIT JOURNAL Vol 4 No 1 (2010): CCIT JOURNAL Vol 3 No 3 (2010): CCIT JOURNAL Vol 3 No 2 (2010): CCIT JOURNAL Vol 3 No 1 (2009): CCIT JOURNAL Vol 2 No 3 (2009): CCIT JOURNAL Vol 2 No 2 (2009): CCIT JOURNAL Vol 103 No 2 (2008): CCIT JOURNAL Vol 102 No 2 (2008): CCIT JOURNAL Vol 100 No 2 (2008): CCIT JOURNAL Vol 2 No 1 (2008): CCIT JOURNAL Vol 1 No 3 (2008): CCIT JOURNAL Vol 1 No 2 (2008): CCIT JOURNAL Vol 1 No 1 (2007): CCIT JOURNAL More Issue