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CCIT (Creative Communication and Innovative Technology) Journal

ccit
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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.

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Articles 11 Documents

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Search results for , issue "Vol 15 No 2 (2022): CCIT JOURNAL" : 11 Documents clear

Utilization of Scrum Models in Photography Services and Online Videography Vionika Angelia Fendrika; David David; Gat Gat; Sandy Kosasi; Tony Wijaya
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

The difficulties faced by the user in selecting photography and videography services are now very limited to access the transmission of his works, and also because a photography and videography have not been computerized to make information and data management scarce. The purpose of the study is to develop a software by pinching agile ux, asa measure of user satisfaction or need to online photography and videography services. The method is the scrum that serves to manage a project more efficiently, and it makes teamwork more effective and focused. The results of this study were developing a software that functioned asa function, from providers and users as well as photography and videography services, so they became more efficient and the published works became more optimized. Testing results using black box testing that test for functionality and required specifications. Applications made to help sell products and promote shops in these materials, so that all are more organized and more effective in the system are washed down. The application has not been entirely feasible, as development in the system is still required.

Implementation of K-Nearest Neighbor Method and Weighted Product Method in Determining High School Majors Kartika Rahmayani; Yunita Yunita; Kanda Januar
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

High school education in Indonesia is divided into several majors that have been determined by the ministry of education. The Major will also have an influence on students when they will continue their education to the university level. Therefore, students must be placed in majors that are in accordance with their abilities and desires so that they can complete their education well. To assist the school in providing advice on the division of student majors and provide more accurate results, the authors conducted research using the K-Nearest Neighbor method which will classify students so that they are classified into students majoring in science and social studies. K-Nearest Neighbor is used because it can classify student testing data in the case of class 2020 by adapting solutions from student training data in cases of class 2019 based on the data they have. Furthermore, so that student data that has been classified can be sorted based on the best value so that class division can be carried out according to the results of the sequence of students in each majors, the Weighted Product method is used. The Weighted Product method sorts student data based on criteria values that have different weight values. The results in this study provide the highest accuracy value for the K-Nearest Neighbor method using the k value configuration of 88% and the accuracy value 84% for using the Weighted Product method.

Disaster Victim Service Application at the Social Services of Tangerang District Ade Setiadi; Sulaiman Sulaiman; Fifit Alfiah
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

The social service of Tangerang District is a government institution that caters to the social welfare problem and one of the services that will be discussed is the service of disaster victims in the district of Tangerang that have not been computerised so that the running system is less efficient. The process of service that is still having difficulty due to the collection of disaster victims is still far from the word accurate and to get the service should often visit the office so it takes a lot of wasted time. Since the system is running less efficiently, a Disaster Victim Service Application has been made which is computerized and runs more efficiently. The method used in data collection is observation, interviews, and literature study. In analyzing a system using the PIECES method (Performance), (Information), (Economy), (Control), (Efficiency), (Service) to make it easier to analyze the running system and provide solutions in making application programs and writers in making application design with visual modelling using UML (Unified Modelling Language) to make a diagram, Hypertext Preprocessor (PHP) as a programming language, and MySQL as a database to be used in the system. The results of the design discuss how to create a system that runs and the proposed system and the existence of this system can facilitate service employees in receiving accurate reports so as to shorten the time of handling in serving victims affected by disasters.

Development of the Concept Design of Rooftop Solar Power Plant Practice Tool Stieven Netanel Rumokoy; I Gede Para Atmaja; Maureen Langie; Josephin Sundah
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

Solar energy source as an alternative to gain electrical energy continues to grow. One of the utilization systems is to use the solar panels on the roof top of the house. The Household-scale of Solar System Power Plant has been widely used. This case requires skilled workers for the installation of this system. This study aims to develop a household-scale of Solar System Power Plant practice tool into a complete system. The used method begins with a literature study and then continues with the design system. The results obtained are a household-scale Solar System Power Plant tool design that can describe a complete system of the electrical energy distribution. The concept of a practical tool that previously only focused on the mechanical installation of solar panels but now become more complete with the addition of an electrical energy distribution system.

Classification of Public Complaints Basedon Text Mining Using Modified K-Nearest Neighbor, Naïve Bayes and C4.5 Algorithm Samsul Bahri; Ema Utami; Asro Nasiri
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

To improve public services, accuracy and acceleration are needed in classifying the types of complaints so that complaints can immediately get a response from the relevant regional apparatus. This public complaint data is in text form and is not balanced in each category of regional apparatus, so we contribute to research to compare the performance of different text mining-based classification algorithms. In addition, we also tested the resampling method to overcome imbalanced data. In the final stage, testing is carried out using a multiclass confusion matrix table to show accuracy, precision, recall, and f1-score. The test results show the highest value in the Naïve Bayes algorithm with the ComplementNB model without resampling data, which is 89.58% accuracy, 86.72% precision, 82.40% recall, 84.09% f1-score. However, all scores decreased when combined with SMOTE resampling of 83.66% accuracy, 67.79% precision, 80.35% recall, 71.68% f1-score. ComplementNB can be an alternative model in the classification of public complaints with imbalanced datasets

Android-Based Sign Language Learning and Evaluation Apps Husain T; Nurdiansah Nurdiansah; Cucut Susanto; Uzaimin Nasruddin; Muh. Farhan Hidayat
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

Sign language is a language that prioritizes body language and lip movements, not sound, in communicating. The deaf and speech impaired are the main group who use this language by combining the form of finger movement, orientation and movement of the hands, arms, and body, to express their thoughts. This application uses pictures and questions to find out the information they convey. So this application was designed so that it can help the general public to receive information from the deaf and speech impaired by using Black Box testing to test for functional errors contained in the application.

Application of Data Mining Using the K-Medoids Algorithm for Poverty Index Clustering Muhammad Faisal; Wiranti Sri Utami
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

Poverty index is a term for measuring poverty, this is done by a government agency or commonly referred to as the Central Statistics Agency (BPS). The poverty index or poverty rate is the percentage of the population in a province who is below the poverty line, which is the minimum in obtaining an adequate standard of living. In the government's efforts to reduce the level of poverty in a province, the government often provides special assistance programs for people belonging to the poverty line. Based on the explanations that have been discussed, a conclusion can be drawn. This research can be done using the Data Mining technique to group the total Poverty Index by Province in Indonesia using the K-Medoids Algorithm, then by determining the Clusters randomly. The results of this study are expected to assist the government in providing assistance to the affected population below the poverty line.

Prediction Model of Production Completion Delay to Improve Service Quality Using Decision Tree Versus Multilayer Perceptron Method Arko Djajadi; Winarno Winarno; Abdullah Dwi Srenggini
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

Delays in the completion of pvd production can be caused by several factors. Including the actual experience in the production of the difficulty of each process and color type, even the difficulty of the product type can also be affected. In this study, the prediction of the delay in the completion of pvd production was carried out using the C4.5 decision tree and Multilayer Perceptron data mining method approach using Production Results data at PT. Surya Toto Indonesia, whose results are expected to provide information and input for the company in making production plans in the future. The data testing method was carried out with 5 (five) testing times with different amounts of data to determine the level of consistency of accuracy obtained. C4.5 gives the results of a decision tree where the root is the color type and as the leaf is the product category, type type and order period. The average value of accuracy generated in the C4.5 decision tree method is 87.15%. While the Multilayer Perceptron obtained an average accuracy of 87.98%, which is greater than the decision tree method with a difference of 0.83%.

Analysis of Student Performance in Using Chatbots for Guidance Reservations with Lecturers Andhika Rafi Hananto; Silvia Anggun Rahayu; Taqwa Hariguna
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

Peran pasif terbukti menjadi metode yang tidak efisien dalam sebuah layanan informasi. Penggunaan teknologi di perguruan tinggi membantu untuk menghasilkan sebuah layanan informasi yang efektif, fleksibel dan akurat di mana aktivitas interaksi mahasiswa dan dosen menjadikannya aktor utama dalam menjalin hubungan yang baik pada proses perkuliahan. Namun, menerapkan lingkungan di mana mahasiswa aktif dalam menjalin interaksi yang baik dengan dosen membutuhkan banyak usaha mengingat jumlah variabel yang terlibat dalam tujuan ini. Untuk mengidentifikasi variabel-variabel tersebut, perlu dilakukan analisis terhadap data yang dihasilkan mahasiswa untuk mencari pola-pola yang memungkinkan untuk diklasifikasikan menurut kebutuhannya. Setelah kebutuhan ini diidentifikasi, dimungkinkan untuk membuat keputusan yang berkontribusi pada proses aktivitas interaksi mahasiswa; untuk ini, penggunaan kecerdasan buatan dipertimbangkan. Teknik-teknik ini meniru proses pemikiran manusia menggunakan struktur yang mengandung pengetahuan dan pengalaman ahli manusia.

Prediction of School Uniform Sales Using the K-Nearest Neighbor Method Nurwati Nurwati; Yudi Santoso; Nur Azizah
CCIT Journal Vol 15 No 2 (2022): CCIT JOURNAL
Publisher : Universitas Raharja

Information regarding monitoring of operational expenditures of the Regional Public Service Agency at the Emergency Ambulance Service Unit of the DKI Jakarta Health Office. Because the finances issued or used must be accurately informed. In this case, monitoring the operational expenses of the Regional Public Service Agency at the Emergency Ambulance Service Unit of the DKI Jakarta Health Service still has many obstacles. Constraints faced are such as the technical executor. The activity of submitting an accountability letter still has a long stage, the Verifier is not there so that the process of checking the accountability letter stops, the input of reports is carried out one by one by the Spending Treasurer using Microsoft Excel. The process of monitoring the operational expenses of the Regional Public Service Agency at the Emergency Ambulance Service Unit of the DKI Jakarta Health Office takes a long time. And another obstacle is the occurrence of classifying the type of operational expenditure. In this data analysis method, using Balanced Scorecard (BSC) analysis, system design uses Visual Paradigm to create UML (Unified Modeling Language), PHP programming language, MySQL to create databases. The result of this research is that an information system for monitoring operational expenditures of the Regional Public Service Agency can create and submit a letter of accountability and verification letters are carried out computerized, the Expenditure Treasurer no longer enters the general cash books one by one, the Expenditure Treasurer no longer classifies the types of operational expenditure in recap operational expenditure.

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Jl. Jenderal Sudirman No. 40 Modern Cikokol Tangerang - Banten 15117 Indonesia

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Kota tangerang,

Banten

INDONESIA