Journal of Information Technology and its Utilization
Journal Title Journal of Information Technology and its Utilization ISSN 2985-4067 (print) | 2654-802X (online) DOI Prefix 10.56873 by Crossref Editor in Chief Tri Anggraeni Publisher Sekolah Tinggi Multi Media Frequency Two issues per year (June and December) Citation Analysis Sinta | Google Scholar | Garuda | Dimension Journal of Information Technology and Its Utilization is a biannual peer-reviewed journal that aims to explore scientific developments in the field of information technology its utilization, including Data Mining, IoT, Artificial Intelligence, Digital Processing, and Information Systems. From 2022, the journal is published by Sekolah Tinggi Multi Media, Ministry of Communication and Information Technology, Republic of Indonesia. JITU is published twice a year in June and December. Editors receive manuscripts at any time. Submitting and publishing a paper in JITU is free of charge. All issuance costs are borne by the publisher. JITU has been indexing in the Science and Technology Index of Indonesia (SINTA) since Vol 1. No. 1 2018 (4th Rank). Accreditation certificate issued with No. 200/M/KPT/2020 FIND US ON : SINTA | Google Scholar | GARUDA | NELITI | Dimensions
The proposed policy for journals that offer open access Authors who publish with this journal agree to the following terms: Copyright on any article is retained by the author(s). Author grant the journal, right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work’s authorship and initial publication in this journal. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal’s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work. The article and any associated published material is distributed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License
The Clustering of Ranting Muhammadiyah Using the K-MODES Algorithm
Research on Muhammadiyah often focuses on its preaching models, responses to various conditions, and strategies in proselytization or resource management, but there is limited exploration of the Muhammadiyah organization itself. Specifically, the condition of Pimpinan Ranting Muhammadiyah (The Leader of Muhammadiyah Sub-Branch or PRM) as the lowest organizational structure, is seldom addressed. Currently, the LPCR utilizes SICARA to categorize organizations based on scores reflecting routine activities, yet it does not map these organizations based on similar potential. Thus, there is a need for a method to group these organizations based on a condition mapping to facilitate targeted revitalization efforts. This study aims to cluster PRM based on the Branch and Sub-branch Information System (Sistem Informasi Cabang dan Ranting or SICARA) questionnaire responses. Given that the SICARA questionnaire data is categorical, the K-MODES method was chosen for clustering. The optimal number of clusters was determined using the elbow method. The resulting clusters, derived using the elbow method, there are eight clusters, each exhibiting distinct characteristics.
Copyright (c) 2025 Journal of Information Technology and its Utilization https://creativecommons.org/licenses/by-nc-sa/4.0
Implementation of Web-Based Real-Time Laundry Status Tracking System
The lifestyle of Indonesian society, particularly Generation Z, is characterized by a preference for practicality and a strong reliance on technology. This lifestyle pattern often reduces Generation Z’s interest in household chores, such as washing and organizing clothes. Laundry services have therefore become a popular solution, especially in urban areas. However, customers often face difficulties in monitoring the progress of their laundry in real time, leaving them uncertain whether their laundry is completed or still in process. To address this issue, this study aims to design and implement a web-based laundry status tracking system that provides customers with real-time information on their laundry progress. The system was developed using modern web technologies, employing the Laravel framework for the backend and Bootstrap for the frontend. The system also integrates additional features such as delivery and pickup options, payment methods, and progress tracking. Moreover, it provides a user-friendly interface for administrators to manage laundry data and for customers to monitor their orders. Testing results indicate that the system successfully provides accurate and real-time information, enhances transparency, and increases customer satisfaction. This system is expected to support laundry businesses in improving operational efficiency and service quality.
Stacking Ensemble Machine Learning for Predicting Scholarship Selection Success: A Case Study of the Kominfo Scholarship Program
Ensemble learning methods, which combine multiple models, have shown superior performance in various prediction tasks by leveraging the strengths of different algorithms. This study presents an application of a stacking ensemble machine learning method to predict the success of applicants in the Kominfo Scholarship program. By utilizing historical administrative data of scholarship applicants, we build a predictive model to identify candidates with a high potential to be selected and successfully complete the sponsored graduate studies. The proposed approach combines multiple base learners in an ensemble, addressing class imbalance with SMOTE oversampling and optimizing model parameters via grid search. The best-performing stacked model (combining Random Forest and XGBoost with a logistic regression meta-learner) achieved an Area Under the ROC Curve (AUC) of 0.93, outperforming individual classifiers. This paper details the data preparation, model building, and evaluation process, and discusses the implications for fair and efficient scholarship selection. The findings demonstrate that the stacking ensemble approach can enhance accuracy and objectivity in candidate selection, ensuring that deserving applicants are identified more reliably compared to conventional methods.
Gamification-Driven Management Information System: A Design Approach for Enhancing Students’ Final Project Supervision
This study aims to design a gamification-based Management Information System (MIS) interface to enhance the effectiveness and engagement of students during final project supervision. The research background is based on literature findings regarding the potential of gamification in education that can encourage motivation, participation, and transparency in the learning process. The research method used is Research through Design (RtD), emphasizing the integration of gamification elements into the MIS framework, including features for recording progress, awarding points, levels, and badges related to guidance activities. The research results is a student final project MIS interface that combines managerial functions with gamification-based motivational mechanisms. This system is expected to increase student engagement, provide more transparent monitoring for supervisors, and create a more attractive and interactive guidance ecosystem. The direction of further research is directed at the development of a complete MIS prototype, limited trials, and evaluation of effectiveness through case studies.
Evaluation of User Experience (UX) in the MIUI 14 Interface Using User Experience Questionnaire (UEQ) Method in Indonesia
The advancement of the modern era has provided various boosts and innovations for smartphone development companies worldwide. This development has led smartphone manufacturers to compete in creating their own Android-based user interfaces. MIUI, a widely recognized interface due to its popularity, still has several shortcomings in delivering a good user experience, such as overheating issues, UI lag, battery drain, bloatware, promotional ads, GPS issues, OS & security updates, and conflicts between Xiaomi China and Google. This study aims to assess user experience in terms of attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty as offered by the MIUI 14 interface. A descriptive quantitative approach is used in this study, employing a questionnaire as the data collection method. The questionnaire, consisting of a series of written questions, was distributed to respondents for their answers. This method is particularly effective when the number of respondents is large and geographically spread out. The questionnaire is designed to assess user experience with MIUI 14 according to the indicators in the User Experience Questionnaire (UEQ) method. Data analysis was carried out using specialized software for user experience measurement, specifically the UEQ tool. The results show that the UEQ dimensions of attractiveness, perspicuity, and dependability received positive impressions, while efficiency received a negative impression. Stimulation and novelty received neutral evaluations. MIUI 14 scored Above Average in attractiveness, Below Average in perspicuity and dependability, and Poor in efficiency, stimulation, and novelty. Suggested improvements include addressing advertising notifications, rearranging the settings layout, enhancing animation responsiveness, removing bloatware, updating security patches, and implementing the Material You design concept.
Copyright (c) 2025 Journal of Information Technology and Its Utilization https://creativecommons.org/licenses/by-nc-sa/4.0
Evaluating Bank DJX's Cybersecurity Maturity Level from Indonesia's Regulatory Perspective
In the digitalization era of banking, cybersecurity has become a critical priority as the frequency and sophistication of cyber-attacks rise. This study evaluates Bank DJX's cybersecurity maturity (a pseudonym), focusing on compliance with POJK PTI and SEOJK regulations on cyber resilience in commercial banks. Using a qualitative approach, it assesses inherent cybersecurity risks and the effectiveness of risk management. Findings show a maturity score of 2.1, indicating effective and satisfactory practices, alongside an inherent risk score of 1.9 with a narrow gap (+0.20), suggesting that while current controls address existing threats, the capacity to manage emerging risks remains limited without further enhancements. Given the rapidly evolving threat landscape, continuous improvement is essential. Aligned with recommendations, Bank DJX is well-positioned to strengthen its cybersecurity resilience to meet regulatory demands and proactively address future threats. This study offers empirical insights into cybersecurity practices in Indonesia's digital banking sector, underscoring the importance of regulatory compliance and proactive risk management.
Digital bank; POJK PTI; SEOJK; maturity level; risk assessment.
The Future of Animation: Exploring the Integration of Generative AI and the Role of Animators
Artificial Intelligence (AI) capabilities significantly change the way creative actors in the production process work. Through a study of the impact of AI on the animation industry, this article highlights the shift of AI from basic automation to more complex roles. Multi-modal generative AI, such as Large Language Models (LLMs) and diffusion models, revolutionizes the animation workflow, changes the job description of animators, and creates new challenges and opportunities. The analysis is carried out on repetitive tasks such as in-betweening, rendering, and asset creation. Through the exploration of the application of diffusion models for the creation of image and video works, as well as the application of LLMs in the development of narratives and storyboards, animators are expected to focus more on conceptual aspects and increase their creativity. AI will be involved as an innovative partner. This partnership encourages various forms of new creative expression as well as collaborative and integrated workflows. It is undeniable that this leaves notes and challenges related to the potential shift in human resources and ethics. This article provides an explanation of the adaptations that must be made so that the integration of technology and humans can maximize human creativity, not to replace it.
Enhancing Maritime Safety Education through Mobile Gamification: Development and Design of an Android-Based Learning Game for Safe Working Practices on Board Ship
Semarang Maritime Polytechnic (PIPS) requires an Android-based English learning tool that is integrated with courses related to work safety on ships. This study aims to create an English learning tool that is integrated with courses related to work safety on ships in the form of a quiz and is Android-based. The development of this game uses the Game Development Life Cycle (GDLC) method which is a guideline that includes the game development process (Hendrick in Ramadan and Widyani, 2013). This method consists of six development phases: Initiation, Pre-production, Production, Testing, Beta testing, and Release. This application is called "Safe Working Practices on Board Ship" and is expected to be an alternative or new media for students to practice their English language skills while understanding work safety on ships.
Copyright (c) 2024 Journal of Information Technology and Its Utilization https://creativecommons.org/licenses/by-nc-sa/4.0
The Role of Lapor Sleman Application in Enhancing Information Transparency of Sleman Regency Government
Law No. 14 of 2008 requires government transparency in providing public information access. The Sleman Regency Government implemented this mandate through the Lapor Sleman application, despite mixed user reviews among its 10,000+ downloaders. This research examines how this application enhances public information transparency using a qualitative approach through interviews, observations, and documentation. The study applies the Technology Acceptance Model (TAM) theory with five constructs to analyze compliance with Information Commission Regulation No. 5/2016. Results demonstrate that Lapor Sleman successfully increases information transparency by meeting both TAM indicators and transparency requirements, evolving beyond a simple application into a multi-channel reporting service. The integration into Sleman Digital platform represents an innovative response to implementation challenges. This study contributes to e-government literature by analyzing the relationship between technological acceptance and public information transparency. To maximize Lapor Sleman's potential, the research suggests periodic evaluations, improved inter-agency coordination, expanded public education initiatives, and strategic integration with the national SP4N-LAPOR! platform. These recommendations provide a roadmap for strengthening Lapor Sleman as an inclusive, responsive technology-based public service model that can be adapted by other regional governments seeking to enhance transparency through digital platforms.
Learning Difficulty Levels Prediction of Elementary School Student Mathematics Using Machine Learning Model
Difficulty learning mathematics in elementary school students is a significant problem and requires serious attention. This study aims to predict the difficulty level in elementary school students learning mathematics using a machine learning model, namely KNN. Exam scores, assignments, quizzes, and characteristics of students' difficulty level in learning mathematics were used as data in this study. A study used the KNN model to divide students into three categories of difficulty in learning mathematics: easy, moderate, and challenging. The results showed that the KNN model can accurately predict student’s difficulty levels in mathematics. Thus, applying this model can help teachers provide appropriate and effective interventions to students experiencing difficulties. Using machine learning technology, especially the KNN model, we found an accuracy of 95%. In addition, we can still accurately predict the difficulty level of elementary school students' mathematics learning. This study uses anonymous student data, the distribution of assignments, quizzes, and exam score ranges, and characteristics of mathematics learning difficulty levels. There are three prediction classes: high, medium, and low.
Copyright (c) 2025 Journal of Information Technology and Its Utilization http://creativecommons.org/licenses/by-nc-sa/4.0
Determination of Village Development Priorities Based on Decision Support System Using the FAHP-WP Method
Villages play a strategic role in national development, particularly in improving the quality of life and community welfare. Rengel Village, located in Tuban Regency, East Java, holds significant potential for development. However, decision-making in development through the “Musrenbangdes” (village development planning forum) is often hindered by conflicts of interest between neighborhood units (RT and RW) and the lack of an objective system to assess priorities. Therefore, a Decision Support System (DSS) utilizing the Fuzzy Analytic Hierarchy Process (F-AHP) and Weighted Product (WP) methods is needed to prioritize development. F-AHP determines criterion weights based on relative importance and addresses uncertainty in assessments, while WP ranks alternatives based on these weights. This study involves data collection, calculation of criterion weights, alternative development ranking, system development, and deriving conclusions. The results show that the CR value of 0.033 indicates a good level of consistency in comparisons, yielding the following criterion weights: RPJM (0.331), Urgency Level (0.278), Impact and Benefits (0.237), Regulatory Compliance (0.14), and Budget (0.014). Meanwhile, the alternative development ranking results indicate the following priority order: AP41 (1), AP06 (2), AP33 (3), AP49 (4), AP12 (5), AP40 (6), AP13 (7), AP11 (8), AP43 (9), and AP28 (10).
Mountain Selection for Beginner Climbers:a Simple Additive Weighting (SAW) Method
Over the years, mountain climbing has become more popular among ordinary people, with interest suddenly spiking during this recent time. A well-prepared and route-knowledgeable climber is most likely to win half the battle. The task of selecting a mountain for first-time climbers can be a daunting one. The Simple Additive Weighting (SAW) method can help beginner climbers determine which mountain is best for them. This method enables users to assign weights to each criterion and alternative based on their preferences, facilitating direct comparisons between options, and calculating all possible combinations, making the process faster and more accurate. According to this study, a campsite, mountain height, natural resources, mountain beauty, and terrain difficulty are major factors to consider when choosing a mountain. The alternatives consist of six mountains in North Sulawesi—Mount Klabat, Lokon, Soputan, Mahawu, Empung, and Tampusu—assessed according to the established criteria. In conclusion, the Decision Support System using the SAW method was successfully developed to help beginner climbers choose mountains based on their preferences. This system includes features such as mountain search, SAW calculations, and top recommendations. Future updates could consist of more detailed mountain specifications and a broader selection of mountains.
Copyright (c) 2024 Journal of Information Technology and Its Utilization http://creativecommons.org/licenses/by-nc-sa/4.0
An Assistive Technology for A Deaf Student: Many-to-One System Using Button Board Speech-to-Image Based On Microcontroller ESP8266
Education is the right of every nation and society including disable students which have physical, emotional, mental, intellectual and social disorders. In an effort to facilitate proper education for students with special needs, especially deaf students, our research team consisting of permanent lecturers from Electrical Engineering Study Program Universitas Katolik De La Salle Manado were called to care and commit to conduct research on assistive technology for deaf students. Our team designed and created a Button Board Speech-to-Image tool based on the ESP8266 microcontroller which is intended for Deaf Students to make it easier for them to communicate and interact with teachers while in class, especially during exams or learning process activities. The research method used for this research was system design and data mining. The assistive technology development method used is Research and Development (R&D). The inputs on the Button Board were processed into sound (speech) which was sent to the recipient wirelessly so that what the Deaf Student wants to convey in class can be understood by the Teacher through the speaker. The assistive technology development method used is Research and Development (R&D). The technology operates well with WiFi network and well accepted for learning process and communication.
Assistive; Button Board; Deaf; Many-to-One; Microcontroller
Clustering the Happiness Index of Provincials in Indonesia using K-MEANS
Community welfare is a government goal related to the fulfillment of basic needs, education and employment, which can be measured through the happiness index. The purpose of this research is to cluster provinces in Indonesia based on their resident’s happiness level. The data obtained from the Indonesian Central Bureau of Statistics website. The method used in this research is K-means clustering. There are 2 dimensions used, namely the personal dimension which includes education, employment, household income, health, housing conditions and, assets. The social dimension includes social relations, environmental conditions, security conditions, family harmony, and availability of free time. Based on the results of the study, 2 provincial groups were obtained based on the level of happiness. Testing is done using the Davies Bouldin Index (DBI). The optimal K is obtained, namely K = 2 with a DBI value of = 0.776. The first group is the happiest group including the provinces of North Maluku, Maluku, North Sulawesi, North Kalimantan, Gorontalo, Central Sulawesi, West Papua, Riau Islands, East Kalimantan. The other provinces are in the second group. The unhappiest groups are Banten, Bengkulu and Papua.
Enhanced Indoor Coverage with Femtocells in 5G Networks at 3500 Mhz Frequency using Radiowave Propagation Software
In the landscape of 5G mobile networks in Indonesia, one of the prominent frequency candidates is 3.5 GHz. The frequency is anticipated to be the initial choice for operators to deploy 5G networks. The research focuses on designing an indoor cellular network to address indoor network degradation issues using Small Cells, specifically Femtocells, within buildings such as schools, companies, hospitals, and airports. The design is implemented at PT. Sutanto Arifchandra Electronic (PT. SAE) based on the COST 231 Multi-Wall Propagation model using the Radiowave Propagation Simulator (RPS) 5.4 application. The required parameters for designing the indoor cellular network include residential building specifications and a Link Budget parameter to determine the number of Femtocell Access Points needed to cover all areas adequately. The coverage calculations determined that 2 Femtocell Access Points are required. The simulation uses three scenarios, with the optimal outcome observed in scenario 2 (employing 2 Femtocell Access Points positioned on the middle right and left sides of the walls). This scenario yields a signal power level of -25.60 dBm and a Signal to Interference Ratio (SIR) of 14.80 dB.
Real-Time Smart System for Complaint Information System in Campus: Code of Conduct and Infrastructure
In today's competitive business environment, maintaining high levels of customer satisfaction is crucial for the success of any organization. To effectively address customer complaints and concerns, businesses are increasingly relying on digital solutions such as complaint reporting systems. This paper presents the development of an online complaint reporting system designed to streamline the process of receiving, managing, and resolving customer complaints. The system incorporates features such as user-friendly interfaces, secure data storage, automated notifications, and real-time reporting functionalities. Through the implementation of this system, businesses can enhance their customer feedback management processes, improve customer satisfaction levels, and ultimately, strengthen customer relationships. Real-time reporting functionalities provide businesses with valuable insights into trending issues and customer pain points, allowing them to proactively address recurring problems and improve their products and services. By leveraging the online complaint reporting system, organizations can effectively capture, analyze, and respond to customer feedback in a timely manner, enhancing overall service quality and customer satisfaction. In conclusion, the development of an online complaint reporting system represents a significant step towards improving customer feedback management practices. By implementing this system, organizations can establish a more transparent and customer-centric approach to handling complaints, leading to enhanced customer loyalty and positive brand perception.
Application of Importance Performance Analysis Method for Service Identification in the Learning Process
The learning process is a series of activities and interactions that occur as individuals acquire new knowledge, skills, attitudes or understanding through various means. Responses and feedback in the context of the classroom, practical experience or other learning resources are integral to this process. The Importance Performance Analysis (IPA) method is used to identify, measure, and evaluate the importance and performance of components in a system or organization. This study proposes a web-based application, namely Application of Importance Performance Analysis Method, to digitize the process of identifying service attributes in learning at the Faculty of Engineering, De La Salle Catholic University Manado. Using the IPA method, this application assists decision makers in formulating effective strategies and policies to improve the quality of education. The method used to develop this application is the Rapid Application Development method. This solution overcomes complicated data processing problems and provides convenience in compiling reports on the learning process every semester.
Geographical Information System for Mapping Flood-Prone Areas in Manado City Using the K-Means Clustering Method
Floods are natural events or phenomena that can cause environmental damage, loss of property, psychological effects, and death or casualties. One way to control flooding non-structurally is by mapping areas that are prone to flooding. This study builds a geographic-based information system to map flood-prone areas in Manado City using the K-Means Clustering algorithm. The main objective of this research is to identify and map areas with a high risk of flooding using spatial data. Slope, land cover type, soil type, water discharge (discharge), and rainfall are independent variables that will be used and processed using the K-Means Clustering algorithm. There are four clusters in the mapping results of flood-prone areas, namely: high vulnerability, medium vulnerability, low vulnerability, and not vulnerable. By using the K-Means method, the results obtained are Paal Dua and Wenang sub-districts are high-vulnerability groups, followed by Mapanget, Tuminting, and Singkil subdistricts with medium vulnerability groups. Tikala District is the only area with low vulnerability. Meanwhile, Bunaken, Sario, Wanea, and Malayayang sub-districts are areas that are not potentially prone to flooding.
Flood; K-Means Clustering; Geographic Information System
Development of a Custom Technical Incident and Spare Part Management System for Effective Telecom Network Service Delivery
Managing technical incident in telecommunication industry is very important in order to ensure business continuity. However, there is a need to find effective ways of managing spare parts when there is a need for the replacement of such spare parts in order to fix technical incidents. That is why telecom operators require relevant systems for adequate incident and spare part management. With the outsourcing arrangement between some operators and third-party site handlers in Nigeria and most developing countries, there is a need for proper technical incident handling and spare part management. Many of the problems that arise in telecommunication operation come from non-correlation of escalation with the spare part required to restore normal operation of the service after an interruption. This research focuses on designing and developing a web-based system for handling proper management of technical issues and provision of required spare parts promptly as required. This is to ease operations and communications among telecom operators and their technical service providers. The system was built using combination of web development tools such as Jinja Templating Engine, CSS, HTML, JavaScript, JQuery, Python, Flask and SQLite. The developed system has been tested and found useful for the scenarios that it was developed for. The solution allows online management of spares parts, tracking of escalations, provision of fault details and capturing of all faulty equipments due for repairs. It is believed that the custom system can help in achieving effective telecom network service delivery by the company that uses such approach.
Implementation of K-means Clustering Algorithm to Analyze the Familial Sentiments Towards COVID-19 Vaccination For Elementary School Students in Kalawat District
Due to the Ministry of Health's policy, the Indonesian government mandates the public to receive the COVID-19 vaccination as a form of immunity against the coronavirus. This vaccination is not only for adults but also for children of a certain age. Regarding the provision of vaccination for elementary school students aged between 6 to 11 years, the families' responses to this predicament can cause significant barriers to those students being fully vaccinated. Thus, this research developed a web-based application that incorporated the K-means clustering method to group the sentiments of the families into three clusters, namely positive, neutral, and negative. The results showed that the application can identify and cluster the different familial responses from 279 respondents in Kalawat District toward the administration of COVID-19 vaccination to their underage children. The most dominant familial sentiment is positive followed by neutral and negative sentiments with the number of respondents as many as 120 respondents (43%), 113 respondents (41%), and 46 respondents (16%) respectively. This research can help the Health Office in North Minahasa Regency to evaluate public sentiments about vaccination for elementary school students as well as look for better ways to encourage vaccine trust and confidence in this district.
Clustering; COVID-19; K-Means; Vaccination
Copyright (c) 2023 Journal of Information Technology and Its Utilization https://creativecommons.org/licenses/by-nc-sa/4.0
Expert System for Pest Diagnosis on Local Black Rice Plant in East Kalimantan Using the Naive Bayes Method
Rice plant is a food crop that produces rice as the staple food for the majority of Indonesian people. Local rice which significantly contributes to fulfill the national rice consumption is black rice produced in East Kalimantan. However, local black rice often experiences crop failure due to pest attacks and environmental factors. The amount of local black rice production also continues to decrease due to limited human resources who have the skills and knowledge to diagnose pests in black rice plants. Therefore, one effort that can be made to overcome this problem is to create an expert system that can diagnose pests and diseases in black rice plants. The expert system in this research uses the Naive Bayes method, which identifies 11 types of pests that attack black rice plants and 34 symptoms caused by these pest attacks. Naive Bayes can provide information about the percentage of pests that rice plants might experience. Based on the results of the test cases, an accuracy value of 80% was obtained, so the expert system built in this research can diagnose pests on black rice plants quite well.
Black Rice; Expert System; Naive Bayes; Pest
Optimization of K Value in Clustering Using Silhouette Score (Case Study: Mall Customers Data)
Clustering is an important phase in data mining. The grouping method commonly used in data mining concepts is using K-Means. Choosing the best value of k in the k-means algorithm can be difficult. In this study the technique used to determine the value of k is the silhouette score. Then, to evaluate the k-means model uses the Davies Bouldin Index (DBI) technique. The best DBI value is close to 0. The parameters used are total consumer income and spending. Based on the results of this study it can be concluded that the silhouette score method can provide a k value with optimal results. For mall customer data of 200 data, the most optimal silhouette score is obtained at K = 5 with a DBI = 0.57.
Design of Rectangular Patch Microstrip Antenna with Defected Ground Structure Method at 3.5 GHz Frequency for 5G Technology
5G technology is currently developing rapidly in various countries. 5G technology has three sub-frequencies: low band, midband and high band. Midband frequencies in Indonesia are between 2.6 GHz and 3.5 GHz. In order for 5G technology is able to be used in Indonesia, it needs an antenna that can work at 3.5 GHz and has a wide bandwidth. Microstrip antenna is a simple and efficient antenna. However, microstrip antenna has minimal bandwidth. To overcome this, certain methods are needed, one of which is the defected ground structure (DGS) method. The initial design of the antenna has dimensions according to the results of the calculation formula. Then optimization is carried out by reducing the dimensions of the antenna components. After that, the DGS method is applied to widen the bandwidth. The initial design of the single-patch antenna before using the DGS method has a return loss value of -19.96 dB, VSWR 1.22, with a gain value of 3.812 dB and bandwidth 105.1 MHz. The simulation results of the antenna using DGS have a return loss value of -39.76 dB, VSWR of 1.02, with a gain value 3.16 dB and a bandwidth of 158.4 MHz. These results prove that the use of the DGS method can increase bandwidth.
Model-View-Controller Design System of Motorcycle Damage Detection Using Forward Chaining Method
This study aims to design a motorbike damage detection system using the forward chaining method with a view controller model that can be run on a mobile-based system. Dealers and motorbike service providers receive and fulfil customer requests for motorbike service services. Mechanics who service vehicles still use conventional methods to check vehicle damage by scanning the paper (form). There is a list of vehicle damage. This method takes quite a long time, and it is not sure that the problem will be resolved quickly. The research method used is forward chaining, and the model used is the Model View Controller, which separates data from the display by processing it. The result of this research is that with a motorbike damage detection system, mechanics from dealers and service areas do not have to carry out initial checks manually but instead use a system with a view controller model and initial check results. Detection can also be determined by applying the forward chaining method. Based on functional testing of the system using a black box, valid results were found; then, for logic testing using the forward chaining method, the results were free from logical errors.
Damage; Detection; Forward Chaining; Model-View-Controller; Motorcycle.
DEVELOPMENT A WEB-BASED STUDENT INTERNSHIP APPLICATION USING LARAVEL FRAMEWORK
In this research, the author will discuss the development of a student internship information system implemented using the Laravel framework. The aim is to provide convenience for students in registering/applying for internships, reporting daily activities, submitting final reports, and updating all other internship-related information, as well as facilitating institutions in managing internship data. The method used in this research is the information system development method, which includes literature review, needs analysis, system design, testing, and evaluation. The Laravel framework was chosen because of its good performance, ease of use, and many features that can facilitate the development of information systems. The student internship management information system designed has easy-to-use internship registration and reporting features that can be accessed from anywhere, as well as integrated internship data management features. The results of this research show that the development of a student internship information system using the Laravel framework can provide convenience in registering and reporting internship results for students, as well as help institutions in managing internship data. It is hoped that with the existence of this student internship information system, it can be a solution to simplify and accelerate the internship process and management for students and participating institutions.
Copyright (c) 2023 http://creativecommons.org/licenses/by-nc-sa/4.0
Analysis on the Impact of Implementing Inter-band Carrier Aggregation (CA) on the 5G-NR Networks
Currently, cellular technology is advancing into the 5G era, which can support data speeds up to 10 Gbps on the uplink side and 20 Gbps on the downlink side. This study aims to plan a 5G NR network by implementing the inter-band carrier aggregation (CA) method. CA is one of the techniques used to achieve high data speeds and to combine two or more radio frequency bands. The primary cell uses band n40 at 2300 MHz with a 40 MHz bandwidth, while the secondary cell uses band n78 at 3500 MHz with a 100 MHz bandwidth. The area that we used for this network design is Agung Podomoro Land (APL) Tower Central Park area in West Jakarta. The propagation model used Urban Macro. Testing process is carried out by comparing the results between using CA and not using CA on the SSRSRP, SS-SINR, and data rate parameters. Simulation results show an average increase in each parameter after the inter-band carrier aggregation method is applied. The SS-RSRP parameter increased by 0.05% with a value of -82.02dBm, the SS-SINR parameter increased by 0.77% with a value of 15.71dB, and the data rate parameter significantly increased by 241.33% with a value of 803.66 Mbps. This proves that implementing the carrier aggregation method can improve the quality and capacity of the network, particularly the data rate, by maximizing the use of the bandwidth and resource block produced by the combination of component carriers.
ANALYSIS OF THE QUALITY OF CLOUD STORAGE SERVICES ON NEXTCLOUD AND PYDIO
The development of information technology has greatly influenced the development of current storage media, such as cloud-based storage (cloud). Nextcloud and pydio storage are part of an open based cloud computing system. Measuring service quality can be seen from the aspects of throughput, delay, jitter, and packet loss. This research was conducted to compare the upload and download speeds between the nextcloud server and the pydio server. Of the two cloud storage servers, five trial upload and download respectively. Based on the test results showing that the upload and download processes produce final cloud storage data which has the highest average throughput in terms of uploading files of different types and capacities, the next cloud server is 1,934.6 kbps. The cloud storage that has the lowest average packet loss value is balanced, because the two cloud storages get the same packet loss value of 0%. The cloud storage that has the lowest average file upload delay is the nextcloud server at 222,585 ms. The cloud storage that gets the lowest jitter value is the pydio server of 160.56 ms. Meanwhile, for downloading cloud storage files that have the highest average throughput value, nextcloud server is 1,332 kbps. The cloud storage that has the lowest average packet loss value is balanced, because the two cloud storages get the same packet loss value of 0%. The cloud storage that has the lowest average download delay is the nextcloud server at 132,057 ms, while the cloud storage that has the lowest jitter is the nextcloud server at 132,139 ms.
Quality of Service; cloud; Storage; Nextcloud; Pydio
Implementation of Collision Avoidance System Algorithm in NPC Game 3D
Nowadays, with the rapid development of technology, we are given the convenience of finding entertainment such as games. Now this game can be quickly run on various media, one of them is a smartphone. Most smartphones' operating systems (OS) are Android and IOS. Among the both of OS which is currently popular is Android. This research aims to create an Artificial Intelligent of Non-Player Character (NPC) that can avoid every obstacle using the Collision Avoidance System algorithm. The result of the research is an android game app that applies the Collision Avoidance System that can make AI NPC avoid obstacles. The application of the algorithm to the NPC is made in 3 stages, namely, design by making a flowchart of the algorithm, then writing a program from the Collision Avoidance System, and finally, testing the AI ​​NPC. The test is carried out by comparing the reactions of NPC 1 and NPC 2 in passing through obstacles when on different paths by being carried out jointly between NPC. Based on the tests on AI NPC, NPC managed to avoid obstacles in front of them and the players, and it is almost 93% successful.
Parallel Matrix Multiplication Algorithms Acquire Connected Network Motifs
The network of interactions between biomolecules is essential to biological processes. Many studies have shown that molecular networks can be analyzed by breaking them down into smaller modules known as network motifs. We hypothesize that identifying the set of possible 5-node motifs and 6-node motifs embedded in a network is a necessary step to elucidate the complex topology of a network. Accomplishing this goal requires determining the complete set of motifs that are composed of five and six connected nodes. We developed a parallel algorithm to reduce time consumption that tackles the exponential problem. It is implemented in matrix multiplication insert in the process of identifying isomorphic patterns and removing the isolated and disconnected patterns. The experiment showed that the parallelization matrix multiplication algorithm is approximately 1.4 times faster than serial programming for identifying 5-node motifs and approximately 1.3 times faster than serial programming for identifying 6-node motifs with all the nodes connected
Designing Learning Monitoring snd Evaluation Management Systems for Lecturer Performance in Informatics Study Program
The main responsibilities of a lecturer is to transform, to develop and to transfer knowledge through teaching and learning process. Assessment by students for their lecturers to provide input for lecturers and study program quality is needed so that the teaching and learning process can be controlled and in accordance with the established quality standards. In carrying out the process of monitoring and evaluating on lecturer performance, the Informatics Study Program, Faculty of Engineering, Universitas Tamansiswa is currently using Google form to distribute questionnaires. This is considered ineffective and produces invalid data. Therefore, the use of technology can be a solution to this problem. The purpose of this research is to design a management information system model for monitoring and evaluating learning that can facilitate the software development stage. The design of this learning monitoring and evaluation processing system uses the Unified Modeling Language (UML) model. While the software development method proposed by the author is Agile Software Development. The result of this research is a design model with UML in the form of use case diagrams, activity diagrams, and class diagrams, where the results of this design model can facilitate the next stage of software development. In addition, PIECES analysis is used to assist in identifying weaknesses in the current system to facilitate the mapping of system requirements. Needs mapping is used to identify the proposed new system, in which this proposed new system has 4 user levels, namely: administrator, GMP (Gugus Mutu Prodi), lecturers and students. Each user has its own authority in the proposed system.
Lecturer Monitoring and Evaluation System
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