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
 38   39   40   41   42 
Implementation of the K-Nearest Neighbor Algorithm for Classifying Immigration Residence Permit Applicants at the Class I Special Immigration Office TPI Soekarno-Hatta Azizah, Nur; Henderi, Henderi; Raja, Berisno Hendro Pardamean Manik
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.v18i2.3577

Abstract

This study aims to apply the K-Nearest Neighbor (KNN) algorithm in classifying immigration residence permit applicants at the Class I Special Immigration Office TPI Soekarno-Hatta, focusing on the algorithm's effectiveness and accuracy in categorizing residence permit applicants based on the types of residence permits: Visit Stay Permit (ITK), Limited Stay Permit (ITAS), and Permanent Stay Permit (ITAP). This study employs a quantitative, experiment-based approach utilizing a dataset of 17,212 residence permit applicant records consisting of 11 key attributes, such as nationality, visa type, residence permit type, gender, and age group.The research process began with data preprocessing stages, including data cleaning, normalization, and dataset splitting into training and testing sets with 80:20 and 70:30 partitioning scenarios. The KNN algorithm was implemented using a parameter of k=5k = 5k=5, chosen based on experimentation to achieve optimal performance. The model's performance evaluation was conducted using accuracy, precision, and recall metrics derived from a confusion matrix. The findings reveal that the KNN algorithm successfully classifies data with the highest accuracy of 96.95% in the 80:20 dataset partition scenario and 96.84% in the 70:30 scenario. The Visit Stay Permit (ITK) class demonstrated the best performance with a precision of 97.46% and a recall of 99.97%, whereas the Permanent Stay Permit (ITAP) class showed the lowest performance with a recall of 59.79%, indicating challenges in recognizing patterns for this class. This study also identifies the advantages of the KNN algorithm, including its simplicity of implementation, flexibility in handling multiclass data, and effectiveness for low-dimensional datasets. However, the algorithm has limitations, such as sensitivity to imbalanced data distributions and high computational time for large datasets.
Neural Network Approach Using PyTorch to Predict the Growth of Various Types of Plants Silaban, Freddy Artadima; Firdausi, Ahmad
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.v18i2.3884

Abstract

In the era of rapid technological advancement, agriculture faces increasing challenges in optimizing production efficiency and managing resources sustainably. In Indonesia, various plant types are essential agricultural commodities, yet their productivity is often disrupted by erratic weather, poor land management, pest infestations, and land-use change. This study proposes a predictive model for plant growth using a neural network implemented in the PyTorch framework, integrating multiple environmental features such as temperature, humidity, soil moisture, nutrients, pH, and NPK levels. Unlike previous works that typically focus on specific crops or limited variables, this research introduces a multivariate approach combining diverse agro-environmental data to classify plant types accurately. The model architecture was tuned using GridSearchCV, resulting in optimal hyperparameters (e.g., batch size 32, learning rate 0.001, activation: tanh), achieving high performance with Area Under the Curve (AUC) values nearing 1.0 across most classes. Visualization of network weights reveals how input features are transformed through hidden layers, providing interpretability and transparency in decision-making. The proposed system demonstrates strong generalization capability, as validated on unseen data, and offers real-time prediction feasibility for deployment on edge devices such as NVIDIA Jetson Nano. This work contributes a novel, data-driven approach to smart agriculture by enabling precise growth prediction across multiple plant types, enhancing strategic planning for resource allocation and crop management. Future work includes model adaptation for time-series forecasting and validation with live sensor inputs in real-world agricultural environments.
Application of Data Mining on Player Statistics for Scouting in Football Triyono, Gandung; Wisanto, Aditya Agus; Fachrurozy, Achmad
CCIT (Creative Communication and Innovative Technology) Journal Vol 19 No 1 (2026): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v19i1.3886

Abstract

The sophistication of today's technology makes the use of data increasingly massive. All digital aspects must have data that is ready to be processed, including in the football industry. The use of data in the football industry is one of them used to record all activities carried out by players to see their performance in the match. Dewa United has a scouting division that is tasked with finding talented players according to the wishes of the head coach. In its search, the scouting division observes the players on the field and also uses raw statistical data to see the player's performance. However, the implementation of these activities still has obstacles as evidenced by the difference between the results of observations and the performance of players when joining the team. To solve this problem, the use of data mining can provide scouting recommendations according to player statistics, making the scouting process effective and efficient. The purpose of this study is to make it easier for the team to search for players according to what is desired, which is obtained is a web-based application that has a scouting recommendation feature based on attributes or players according to choice and detailed descriptions of the selected players..
Analysis and Design of Food Price Data Processing Information System Priska, Salsa Dilah; Syahrullah, Syahrullah; Nugraha, Deny Wiria; Lapatta, Nouval Trezandy; Lamasitudju, Chairunnisa Ar
CCIT (Creative Communication and Innovative Technology) Journal Vol 19 No 1 (2026): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v19i1.3904

Abstract

Food prices have an important role in maintaining economic stability and public welfare, as price fluctuations can have a direct impact on purchasing power and inflation. The manual process of recording and reporting food price data at the Department of Agriculture and Food Security of Palu City leads to inefficiencies, data inaccuracies, and difficulties in tracking historical information. These limitations highlight the need for a structured system that can support accurate and efficient data management. This study applies a prototyping method to develop a web-based information system tailored to the needs of the institution. The development process involves continuous interaction between users and developers to ensure the system meets practical requirements. Data were collected through interviews, observations, and documentation. System functionality was tested using black box testing, while usability was assessed using the System Usability Scale (SUS) questionnaire. The results indicate that the system's features, including daily price input, automatic average calculations, report submission, and approval workflows, function correctly. Users are able to interact with the system efficiently, and the SUS results show that the system falls into the acceptable usability category, indicating that it is easy to use. In conclusion, the development of this web-based information system improves the efficiency and accuracy of food price data processing and reporting. It provides a reliable tool for managing information within the department and supports better operational performance.
Evaluating IT Service Capability of Palu BPS Website Using COBIT 5 Framework Ningsih, Alief Surya; Lapatta, Nouval Trezandy; Laila, Rahmah; Kasim, Anita Ahmad; Joefrie, Yuri Yudhaswana; Anshori, Yusuf
CCIT (Creative Communication and Innovative Technology) Journal Vol 19 No 1 (2026): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v19i1.3909

Abstract

This research assesses the IT service capability of the official website of the Palu City Central Bureau of Statistics (BPS) by applying the COBIT 5 framework. The assessment is centered on four key processes from the Deliver, Service, and Support (DSS) as well as Monitor, Evaluate, and Assess (MEA) domains—namely DSS01 (Manage Operations), DSS02 (Manage Service Requests and Incidents), DSS06 (Manage Business Process Controls), and MEA01 (Monitor, Evaluate, and Assess Performance and Conformance). Data were collected through structured interviews, observation sessions with website administrators, and an analysis of supporting documents to determine the current capability levels and compare them with the desired target level of 3. The results show that DSS01 and MEA01 have reached capability level 2, indicating that the processes are defined but not consistently standardized. Meanwhile, DSS02 and DSS06 remain at level 1, indicating reactive operations with limited documentation. The average capability level of 1.5 suggests that there is room for significant improvement in terms of documentation, process formalization, and the use of enabling technologies. Based on these findings, this study recommends targeted improvements to enhance the overall performance and reliability of digital public services, as well as to support better IT governance and e-government practices.
UI/UX Design of Jepun Bali Store Product Ordering Application Using Design Thinking Method Widiani, Ni Nengah; Syahrullah, Syahrullah; Laila, Rahma; Lamasitudju, Chairunnisa Ar; Angreni, Dwi Shinta
CCIT (Creative Communication and Innovative Technology) Journal Vol 19 No 1 (2026): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v19i1.3965

Abstract

The internet as a form of technological advancement continues to develop every year and has a great influence on human activities, including in terms of sales. The Jepun Bali Store, which sells products typical of Hinduism and Balinese customs, markets its products online with Instagram, Facebook, and WhatsApp. Instagram and Facebook are used to display the catalog, while WhatsApp is used for order communication. However, this system is considered less efficient because customers have to switch applications to view products, ask questions, and order. Stock and price information is not available in real-time, and the ordering process is still done manually, making it difficult for customers. From the manager's side, manual order recording risks creating errors, while admins are often overwhelmed with handling queries across multiple platforms, which impacts customer satisfaction. This research aims to simplify the transaction process, speed up services, and increase efficiency by applying the Design Thinking method. This method helps in understanding the needs of the user, structuring problems, and producing solutions through systematic stages. The results of the design test using the System Usability Scale (SUS) method with 30 respondents obtained a score of 88.5833 out of 100, included in category A (Excellent) and considered acceptable.
Systematic Literature Review: The Use of the K-Nearest Neighbor Algorithm in Data Classification for Government Policy Optimization Boru Manik, Maria Intan Parsaulian; Fathya, Vita Nurul; Wilonotomo, Wilonotomo
CCIT (Creative Communication and Innovative Technology) Journal Vol 19 No 1 (2026): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v19i1.3835

Abstract

Along with the rapid advancement of technology and the progress of the digital era, the volume of data across various sectors has significantly increased, making it necessary to process this data to support policy optimization. Data processing is essential for simplifying complex data by grouping it according to specific characteristics. K-Nearest Neighbor (KNN) is a widely used classification algorithm in data mining implementation, applying the principle of class determination based on the proximity between data points, calculated using the Euclidean distance metric. In the governmental sector, this algorithm has been utilized to improve the efficiency of public policies and data-driven decision support systems. This study employs a Systematic Literature Review (SLR) to examine the use of the K-Nearest Neighbor algorithm in previous research for classifying government-related data as a foundation for formulating more effective and efficient policies. The information is gathered by collecting references from relevant journals and studies to provide a detailed understanding of the effectiveness of data processing as a means for optimizing government policies and offering well-targeted decision-making recommendations.
Control System Design Concept for Coconut Shell Charcoal Powder Processing Equipment as a Base Material for Herbal Toiletries Integrated with PV System Simanjuntak, Christopel H.; Rumokoy, Stieven Netanel; Warokka, Adriyan; Dodie, Stanley B.; Rambing, Precylia R.; Makalew, Mario Y.; Mansauda, Karlah Lifie Riani
CCIT (Creative Communication and Innovative Technology) Journal Vol 19 No 1 (2026): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v19i1.3844

Abstract

Various raw materials with enhanced benefits have been discovered for the toiletries industry. One promising material is coconut shell charcoal powder (Cocos nucifera), which can be used as a base ingredient in herbal toiletries formulations. However, its production process still faces challenges, particularly in terms of technology and operations, especially for small and medium enterprises. Therefore, this study aims to design a control system concept for a coconut shell charcoal powder processing unit integrated with a PV system. The methods used include a literature review and a descriptive study through interviews with practitioners and academics specializing in charcoal powder production systems and herbal toiletries formulation. The result of this study is a conceptual design of a control system equipped with a remote monitoring system to oversee and regulate the coconut shell charcoal powder production process more efficiently.
Data Center Information Security Analysis Based on ISO 27001:2022 Standard Using the FMEA Method at PT XYZ Akbar, Muhammad Figo Haffidz; Hidayat, Yopi; Imelda, Imelda
CCIT (Creative Communication and Innovative Technology) Journal Vol 19 No 1 (2026): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v19i1.3843

Abstract

PT XYZ is an IT distribution company playing a crucial role in supplying technology products in Indonesia. As a company operating in the field of information technology, PT XYZ has a data center that stores various critical information. Ensuring the security of data within this data center is essential, and it must be protected with adequate security standards. Following the Information Technology Security and Decision Directives of PT XYZ, an evaluation of the information security within the company's data center was conducted to achieve ISO 27001 certification for information security. This research aims to assess and evaluate the level of information security in PT XYZ's data center using the SSE-CMM assessment index and to identify the Risk Priority Number (RPN) for each identified risk using the FMEA method. The findings indicate that the maturity level of information security in the data center is at Level 3 (defined process) in the SSE-CMM model. Additionally, risk assessment using the FMEA method identified that 14 risks are in the Very Low category, 2 risks are in the Low category, and 2 risks are in the High category. The overall evaluation suggests that PT XYZ's data center is sufficiently prepared to achieve ISO 27001 certification. One recommended improvement is to periodically update the Work Instructions (WI) related to information security policies and to regularly review these security policies
Fine-Tuning GMM and Total Pixel-Based Drowsiness Detection: A Strategy for Detection Open and Closed Eye Pambudi, Elindra Ambar; Romodhon, Dion; Wijaya, Ermadi Satriya
CCIT (Creative Communication and Innovative Technology) Journal Vol 19 No 1 (2026): CCIT JOURNAL
Publisher : Universitas Raharja

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/ccit.v19i1.3614

Abstract

Fatigue driving represents a substantial and often unrecognized risk in traffic accidents. A technique that may be employed involves the detection of open and closed eyes. The research on open and closed eye identification use approaches based on haar cascade and complete pixel analysis. Our proposed method employs an adaptive thresholding technique is implemented right before total pixel process. The processing steps involve the application of haar cascade, adaptive thresholding, fine-tuning of Gaussian Mixture Models (GMM), and the calculation of the total pixel count in the image that is utilized to identify the state of the eye using thresholding. The results from Fine-Tuning GMM thresholding for the left and right eyes are as follows: MSE values of 7.02 and 7.96, and PSNR values of 39.24 and 39.21, respectively. The results derived from fine-tuning are comparable to those obtained using Otsu's method.

Page 40 of 42 | Total Record : 420

 38   39   40   41   42 

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