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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
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REST API and Message Broker RAbbitMQ for Integration of College Academic Information System Ahmad Nur Ihsan Purwanto; Naufal Rasyid
CCIT Journal Vol 16 No 2 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Data integration is frequently used in a variety of applications and necessity. In the process of teaching and learning activities, STIMIK ESQ also has a Learning Management System (LMS), which is an e-learning system based on Moodle. For each class period, lecturers must complete a process to enter attendance information into the academic information system (AIS). A web-based system called AIS is used to track academic activity, class attendance, instructors, and student data. The lecturer must extract attendance information from the LMS in the form of an excel file, sort the information, and then categorize the data according to the study plan of each student. Manually entering attendance data takes between five and ten minutes. Processing all attendance for 12–15 courses takes 7–10 seconds after the assessment procedure. The STIMIK ESQ academic administrator downloads the excel file from AIS during the enrollment process and afterward creates a class on the LMS. The downloaded data is modified to fit the template specified for the LMS import procedure. Data entry for enrollment takes roughly 7 to 10 minutes. It takes between 10 and 15 seconds once the testing procedure is finished processing all courses for the odd semester of the 2020–2021 academic year. Data integration has been tested with utilizing RabbitMQ. The flexibility of REST, which can interface with two separate systems, and RabbitMQ, which can divide duties in processing a lot of data, are used in this research. In this study, the integration process is executed using a scheduler that will execute the integration process automatically.
Applying Contextual Teaching and Learning on Multimedia to Enhance Logical Thinking Skills Eka Fitrajaya Rahman; Almira Kiasati Solehudin; Erna Piantari
CCIT Journal Vol 16 No 2 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

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Abstract

Contextual teaching and learning is a learning concept that encourages students to make a connection between knowledge and its application in real life. This concept can stimulate students to think logically so that they can improve their logical abilities. By having good logic skills, students will find it easier to solve various problems that occur. To facilitate the learning process based on contextual teaching and learning, in this research, web-based multimedia learning was developed by applying the Contextual teaching and learning model with the ADDIE method. From the results of the research conducted, it was found that the increase in students' logical abilities was evaluated based on three indicators: the coherence of thinking with a value of n-gain = 0.32 (moderate improvement), argumentative ability n-gain = 0.27 (low improvement), and drawing conclusions n-gain = 0.33 (moderate improvement).
The Effect of UIUX Design of Artificial Intelligence E-Learning System on Student Learning Engagement Erna Piantari; Sidiq Nugraha; Enjun Junaeti; Erlangga Erlangga
CCIT Journal Vol 16 No 2 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

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Abstract

Currently, e-learning has been widely used in the learning process. This is inseparable from the advantages of e-learning which allows learning to be done anytime, anywhere even with minimal instructor involvement or even no instructor involvement. The challenge in developing e-learning is how the learning process remains interesting and motivates students to remain fully involved in the learning process. In this study evaluated how the effect of UI/UX design on e-learning on AI learning that has been designed in previous research on learning engagement. The evaluation process was carried out comparing the value of student engagement in the previous AI e-learning with AI e-learning that had implemented the UI/UX design that had been designed. The value of student engagement is measured using the Online Student Engagement (OSE) matrix for skill and emotional indicators. Based on the results of the evaluation, it was concluded that UI/UX design can increase learning engagement on e-learning AI that was built with an average increase of 10.13% for skills indicators and 11.12% for emotional indicators.
Implementation of K-Means and SAW Methods in Determining Non-Cash Food Aid Recipients Yunita Yunita; Rizki Kurniati; Desty Rodiah; Allsela Meiriza; Luh Sri Mulia Eni
CCIT Journal Vol 16 No 2 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v16i2.2525

Abstract

Determination of prospective non cash food assistance recipients, especially in Air Talas village, still uses a manual system so that in the process of determining the recipient there is a risk that the recipient will be inaccurate, so that the village government needs a system that can assist the process of determining prospective non cash food assistance recipients. This study aims to implement the K-Means and SAW methods in determining recipients of non cash food assistance in Air Talas village. The benefits of this research can help the Air Talas village government in determining and recommending prospective non cash food assistance recipients in accordance with established criteria, making it easier to filter, group, and rank appropriate population data according to criteria. In addition, this research is also useful for providing convenience to the community through data collection, clustering, and ranking in a transparent, real, and fast and accurate manner using decision support system software. The K-Means clustering method and the Simple Additive Weighting Ranking method were used in this study with data collection techniques through interviewing sources, in this case the village government, the social section of the community, and through collecting village archive data and relevant journals. The research location is Air Talas village with 316 data used. The results of the study are clustering data as much as 77 data obtained from feasible clusters. The cluster data was then tested using the accuracy value and obtained a value of 80%. Then the research is also in the form of ranking data using clustered data which obtains an accuracy value of 64%.
The Angle Adjustment System of The Solar Energy to Electrical Energy Converter Practice Tool Stieven Netanel Rumokoy; I Gede Para Atmaja; Adriyan Warokka; Yosua O. Sihombing; Christian O. Pelealu
CCIT Journal Vol 16 No 2 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v16i2.2193

Abstract

Practical tools need to be created to represent the conditions of a system to support the learning process. In the learning process, especially when studying the utilization of solar energy, a practical tool is required to describe the system of solar panel installation. The practical tool for converting solar energy to electrical energy needs to depict the installation system that occurs during the installation of solar panels. This study aims to develop an angle adjustment system in the practical tool for converting solar energy to electrical energy that can represent the changes in angles and the amount of energy that can be obtained. The methodology begins with a literature study and is followed by the design and testing of the tool. The results obtained show that the Angle Adjustment System in the practical tool for converting solar energy to electrical energy has been able to represent the conditions of solar panel installation. The more perpendicular the light source is to the surface of the solar panel, the greater the amount of electrical energy that can be obtained.
Frozen Meat Sales Website Design Based on Laravel Framework Meri Mayang Sari; Lily Wijaya; Fitria Supyaningsih
CCIT Journal Vol 16 No 2 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v16i2.2502

Abstract

To market a product is usually done by offering it to many people you meet or giving brochures. However, if a product that is sold and offered to potential buyers is not everyone's consumptive product, then the marketing must be different. The use of digital media in the current technological era, it is highly recommended to market products as a means of selling such as a sales website . Sales transactions made at the company so far are conventional, such as ordering products using telephone media and sales that come directly to stores and offer products. Management of data and reports is still done semi-computerized using Microsoft Office. The purpose of this study is to analyze the problems that occur and provide system design proposals for the company. Data collection techniques were carried out by means of observation, interviews, and literature study. method of analysis in this study using PIECES analysis. To describe the design model and system design using Unified Modeling Languages (UML). The result of this research is a sales information system designed using the PHP programming language, database MySQL, and assisted by frameworks such as laravel. With this proposed system, it will be easier for customers to find and buy products contained in the company as a company's sales promotion media, and assist sales in selling products.
Performance Analysis of Tree-Based Algorithms in Predicting Employee Attrition Musthofa Galih Pradana; I Wayan Rangga Pinastawa; Nurhuda Maulana; Wahit Desta Prastowo
CCIT Journal Vol 16 No 2 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v16i2.2580

Abstract

Based on data throughout 2022, there have been many reductions in employees both globally and Indonesia. The reduction was made due to adjustments with developments to keep the business afloat in increasingly fierce competition. However, reducing the number of employees is not an easy decision to make. This decision can have an impact on many aspects of the development and course of a business or company. To make a decision especially related to the aspect of termination of employment, it is necessary to consider carefully and thoroughly. Assessment and decision-making cannot be based on just one aspect, other aspects need to be seen to be taken into consideration. Additional aspects that can be selected to strengthen decision-making can be taken from the data. Data will not have any value without processing it with various approaches, one of which is the prediction process. Starting from the data, the prediction results will be more appropriate to make a decision. This study made a comparison of 3 decision tree algorithms, and produced a comparison of the three methods in terms of accuracy. The results of this study are the best accuracy for each algorithm C.45 = 83.44; Random Forests = 85.85; LMT = 88.29 with a linear precision value, and the best algorithm model with the highest accuracy is the Logistic Model Tree (LMT) algorithm.
Genetic Algorithm Application in Route Optimization Using Google Maps API Ivan Hintoro; Sandy Kosasi; David David; Susanti Margaretha Kuway; Gat Gat
CCIT Journal Vol 16 No 2 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v16i2.2603

Abstract

Route planning from several locations is a common problem encountered. Google Maps provides a feature to plan routes from multiple location but does not provide a feature to find the optimal route from these locations. Based on the survey, 61.9% of respondents have a low level of confidence when planning the optimal route from several locations. So we need software that can help in planning the route. This research utilizes genetic algorithms to help plan routes from several locations. The genetic algorithm used includes components in the form of chromosomes, fitness values, selection, crossover, and mutations. In addition, Google Maps API used as the data source that provides maps, directions, and distance matrices. The design method used extreme programming. The software is made using HTML, CSS, PHP, and JavaScript programming languages with MySQL DBMS. In addition, Black-box and White-box testing method is used in this research. The results of this study are route optimization software that works by using genetic algorithm components to obtain optimal route from several locations with the advantages of using Google Maps API and selecting location points and starting points that are flexible. This study aims to highlight the benefits, limitations, and future prospects of route optimization. The findings of this research will contribute to assist decision-makers in adopting effective strategies related to route optimization.
Analysis and Design of Headless CMS and Graphql in Back-End Development Yudha Pandu Dewanata; Hadiq Hadiq
CCIT Journal Vol 16 No 2 (2023): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v16i2.2813

Abstract

The application of the website in Village Government can also be useful for informing news or services the community. Therefore, here the author creates an information website for Pondoknongko Village Government. In Pondoknongko Village itself, it does not yet have an information website that is easy to access by admins and users. Indeed, there is already a built-in website from the government, but the admin is still having a hard time adapting and accessing it. There were many deficiencies in the previous website, such as the difficulty of accessing data, and adding and editing data. Therefore, the solution to overcome this problem is to create a website that uses Strapi as a database manager so that it is easy for the admin to manage the data that will be loaded on the information website. The author uses Strapi as a data manager and Graphql as a liaison between the Back end and Front End. This research is also based on a review of the information system used by Pondoknongko Village, the website created has been successfully developed and put to good use by Pondoknongko Village and the community.
Comparison of the K-Means Method with the K-Medoids Method for Recipient Infant Clustering Measles Immunization Muhammad Faisal; Wiranti Sri Utami; Vera Nurlia; Nila Pratiwi
CCIT (Creative Communication and Innovative Technology) Journal Vol 17 No 1 (2024): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v17i1.2775

Abstract

Measles or meales is a disease that can be transmitted, if someone who is affected by measles is in the same room with other people who have never been exposed to or received the measles vaccine, it is estimated that they will be infected with measles. The measles vaccine is a very effective vaccine for preventing measles. This type of vaccine is included in the routine immunization program recommended by the Ministry of Health of the Republic of Indonesia. So far, there are two types of measles vaccine, namely the MR vaccine and the MMR vaccine. The MR vaccine is used to prevent measles and rubella, while the MMR vaccine prevents measles, rubella and mumps. The target of vaccine administration can be observed by applying the data mining method, while the data mining method that can be used in this study is by using K-Means and K-Medoids. The purpose of this study was to compare the K-Means and K-Medoids methods in analyzing the achievement of vaccine administration to infants aged 9 months to 18 months. The results of the study obtained optimal k values of 21 provinces with the highest cluster of 3 using the K-Means algorithm, while the optimal K values of 10 provinces with the highest cluster of 3 were obtained using the K-Medoids algorithm.

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