bluuebunny/crossref_metadata_2025 huggingface dataset:
Diagnostic Imaging Management System in Batu Pahat Hospital
Authors: Abdullah Nuraini , Selamat Norhanim , Kasim Shahreen
Published: March 2024

Â Management System Development Department of Diagnostic Imagingat Hospital Batu Pahat is an effort to automate the existing manualsystem which includes the application of radiological, patientinformation storage, information storage staff, patient follow-upappointments, patient and personal property items stored equipmentinformation manually. Storage of records in this manual will result induplication of information if the patient came to do the x-ray followup.In addition, all patients who undergoing treatment radiological arerequired to leave their personal belongings outside the treatment room.This is likely the patient will lose personal items is high. The mainpurpose of this system to ensure the Diagnostic Imaging Departmentof Hospital Batu Pahat in upgrading and improving its serviceperformance. Prototype Model development methodology used in thisproject. The system will help facilitate the management of dailyoperations of the Department of Diagnostic Imaging. As a result ofthis project is expected to assist the Department of Diagnostic Imagingtowards more efficient management of the organization, in line withgovernment efforts to provide the best service to the people.
Quality Of Life In Malaysian Small Town: Antecedent of The Major Determinants
Authors: Hussin Nor Syahira , Muhamad Nazor Nur â€˜Aqilah , Mohamad Zuraida , Mansor Norudin
Published: March 2024

Â This paper attempts to discuss the findings based on the survey on therelationship between determinants that reflected their influence on thequality of life among the residents living in a small town nearby one ofthe largest oil based manufacturing industries in Malaysia. Samples ofthe study were represented among those residents from the teenagers upto the old population categories. For ensuring an appropriaterepresentation and adequate generalization, 306 questionnaires weredistributed in urban and rural area. While analyzing the relationship aswell as its impact, the study also examined possibility of differencesbetween several selected profiles with the quality of life. In order to getmore generalization from the pool of respondents, the further study maydo deeper analysis such as focus in sub group respondents, besidesobserving samples in a much larger group from other town or cities inMalaysia.
Lecturer Committee Management System
Authors: Mohamed Hasiah , Nor Adzmi Nurul Husna Amalina
Published: March 2024

Teaching is the main task of the lecturer besides research,consultancy and holding administrative post. Administrative postconsist of post that need to be held for either two (2) years or 1year depending on the job scope. Currently, there are difficultiesin assign post to lecturer. Beside, it is time consuming to trace thecurrent post of lecturer. In order to solve the current process, asystem known as Lecturer Committee Management System(LCMS) is proposed. LCMS can be used to propose and assignpost to lecturer and to track lecturer involvement history incommittee. The method use in the development of LCMS isRapid Application Development (RAD) model. Once thedevelopment process completed, expert evaluation and userevaluation have been conducted. For the expert there are a fewquestion that have been asked in order to improve the usabilityand functionality of the LCMS. For the user, there are sixconstruct provided in order to evaluate LCMS. The result showthat respondents agree LCMS is easy to use with the highestmean is 4 (SD=0.41). Lastly, as for the future enhancement newfeatures such as lecturer can get the notification about postassigned via phone.
A Generic Review of Web Technology: DJango and Flask
Authors: Idris Nuruldelmia , Mohd Foozy Cik Feresa , Shamala Palaniappan
Published: March 2024

The research is discussing the relevance of web technology based on its history, current development, future working process, threats, or attacks that are common in web technology, and its solutions to encounter the threats. Nowadays, web services have become one of the most vital components in peoples' daily lifestyle. People are talking how the advancement in the technology leads the world now. The evolution of network has triggered the demands especially in internet connection as everyone around the world are depending on the connection to do their activities especially for communication. It is required to have high speed internet and bandwidth to prevent poor connection. Besides that, due to advance development in computing products and network, people enables to catch up with the current trends which spark the existence of web development that are used to gather information.
Application For Petty Cash Management
Authors: Norung Muhammad Hazim Muhamad , Kasim Shahreen , Defni -
Published: March 2024

Some people currently face into traps of dept and overspending without even realizing it. The feeling of never having enough cash or living paycheck to paycheck can lead serious final problems that can lead into financial difficulties over a lifetime. This study aims to determine how application can manage the financial problems. Specifically, it manages on how you spend your money and get the overview about it. In this application, it uses financial skills such as budgeting, saving and spending. It refers to the strategies technique to determine the use of an individual. To achieve a better understanding on the money management, a report is created to see the whole month transaction such as saving and spending. The report will show the total amount of money spent and where the money is going. You will understand your expenses with the report and create a budget for future expenses. By having good financial skills, you can have a strategy on how you want to manage your money. Creating and sticking to a budget might seem tough to achieve but it helps us to see full transparency our financial situation.
Performance Comparison of Apriori, ECLAT and FP-Growth Algorithm for No Biological Data Genes for Association Rule Learning
Authors: Anuar Anies Nurfazlin , Kasim Shahreen , Hendrick -
Published: March 2024

This project is carried out to study the performance comparison of Apriori Algorithm, ECLAT Algorithm and FP-Growth Algorithm for no biological data genes. There are many genes with no biological data, but for this project we have chosen 4 types of no biological data genes. No biological data genes are genes that have no specific data about themselves such as location, behaviour and function of the genes. Association Rule Learning is a technique implementing big data in finding frequent item-sets. Frequent item-sets are items that occur frequently in the database. The performance of these three algorithms is compared through time efficiency and the ability to process small and large datasets. After the comparison, we can conclude that FP-Growth algorithm is the fastest algorithm for small data-set and Apriori algorithm and ECLAT algorithm takes lesser time to generate the frequent item-sets compared to FP-Growth algorithm.
Forecasting Enrolment Data of Surigao del Sur State University, Philippines using Regression Analysis and Multiplicative Decomposition Model
Authors: Maliberan Esmael V.
Published: March 2024

The study endeavored to predict the number of students who will enroll in Surigao del Sur State University using the historic data from 2010-2015. It was accomplished to utilize two existing methods to form its model in forecasting the enrolment data of the University. To project the number of students enrolled at the university, regression analysis, and a multiplicative decomposition model is used. The Mean Absolute Percentage Error (MAPE) of the forecasted enrolment data was 3.10 percent, according to the results. This only demonstrated that the estimated data were similar to the actual data, implying that it is accurate. The predicted enrolment data can be used to support decision-making and as an input to the University Development Plan.
TF-IDF Implementation for Similarity Checker on The Final Project Title
Authors: Meidelfi Dwiny , Yulherniwati - , Rahmayuni Indri , Hidayat Taufik , Chandra Dikky
Published: March 2024

Students of the Software Engineering Technology Study Program, Department of Information Technology, Politeknik Negeri Padang, is required to compile a final project to complete their study period. In the implementation of the final project, several parties have involved such as the KBK team whose job is to check whether the proposed title is appropriate or not. The main issue undertaken by KBK is whether the title submitted has been used or not. The method used by KBK in checking the availability of titles was by looking at the titles of the final projects that have been submitted by previous students. The examination process carried out by the KBK, it took a long time. By utilizing the Cosine Similarity algorithm and TF-IDF, it is expected that it will make it easier for KBK to check the availability of final project titles. Cosine similarity is a method used to calculate the degree of similarity between 2 or more documents. While the TF-IDF Algorithm is a method used to weight a word in a document. The object of testing in this study was the title of the studentâ€™s final project. The process of calculating the level of similarity of documents started from the preprocessing stage, then proceeds with weighting using TF-IDF and calculating the level of similarity used the Cosine Similarity algorithm. The final result found that system could calculate the degree of similarity of the title of the studentâ€™s final project. From the results of testing the process of calculating the degree of similarity of titles using the cosine similarity algorithm can be undertaken quickly.
FPGA Implementation of High Speed and Area Efficient Three Operand Binary Adder
Authors: Azeez Saba , Rangaree Pankaj
Published: March 2024

Three operand binary adder is the basic functional unit to perform the pseudorandom bit generator algorithms and in various cryptography. The basic method used to perform the three-operand binary addition is carry save adder, which leads to high delay. For this a parallel prefix two operand adder such as Han-Carlson adder is used to reduce the delay but increases the hardware architecture i.e., area increases. To overcome this disadvantage, we need a new area efficient and high-speed adder architecture to be proposed using pre compute bitwise addition followed by carry prefix computation logic to perform three operand binary adder which reduces delay and area efficiently. This method is the proposed method and implemented on the FPGA device. A newly designed three operand binary adder is shown and is implemented in MDCLCG. The results of 16 bit and 32-bit three operand adder will be shown and this proposed method is applied on Modified Dual CLCG. The Carry-Save-Adder architecture used in 32-bit MDCLCG is replaced by the proposed architecture. The design is prototyped on a commercially available FPGA platform to validate the design on silicon chip.
Design of a Novel 2.4GHz RF Transmitter
Authors: Tejaswi Dhruthi , Vinay Samudrala , Sriram Vidyuth , M. Ananda , A.B. Kalpana
Published: March 2024

The world of Wireless Technology has been improving consistently due to its high speed and reliability. Some of the demands that need to be fulfilled include larger network capacity, improved data rates and so on. This paper focuses on the design and simulation of the Transmitter, which is a key component in an RF Transceiver Module. It is built by cascading an Up Conversion Mixer, a Bandpass Filter and a Power Amplifier as its most fundamental units. The Cadence Virtuoso Tool was used to construct this Transmitter block in 180nm node technology. The IF signal to the Mixer is 100 MHz and the LO signal is 2.3GHz. The 2.4GHz amplified RF output is taken from the Power Amplifier. A 1dB compression point of -25.91 dBm and an IIP3 of 10.14 dBm is observed for the proposed design. Future work involves testing its integrity with an RF Receiver module that has appropriate modulation schemes in place and converting it into a physical layout-based IC.
Design Attention System of Single Mode Aerial Fiber Optic Cable Transmission on Connection Loss on Passive Splitter
Authors: Asril Aprinal Adila , Yolanda Amelia , Lifwarda - , Putri Dwi Kemala , Kasmar Andre Febrian
Published: March 2024

In this study, a comparison of the attenuation value of single mode aerial cable with pigtail is made. Perform several types of connections using a 4 cm and 6 cm protection sleeve, with one and two connections and use a barrel adapter connector. How does the connection affect the installation of a 1:2 passive splitter device. The measuring instruments used for the measurement process are Optical Power Meter (OPM) and Optical Time Domain Reflectometer (OTDR). The attenuation value of aerial single mode optical cable is smaller than that of pigtail cable. The measurement results using OPM at a wavelength of 1310 nm, connection using a 4 cm protection sleeve, one connection, the attenuation value is 0.18525dB, this value is smaller than the pigtail cable, which is 1.2728 dB. In the installation of a passive splitter, the attenuation value on the aerial cable is smaller, namely 0.2081 dB compared to the pigtail cable, which is 4.3281. The measurement results using the OTDR obtained the connection loss value for the connection type using a 6 cm protection sleeve, one connection is smaller with a value of 0.155 dB, compared to the connection type using an adapter barrel with a value of 12,216 dB.
Utilizing Requirement Testing Methods on Web-Based Swab Data Information System
Authors: Defni - , Johan - , Putra Andani Eka , Nova Fitri , Andriani Wiwik
Published: March 2024

The spread of the virus caused by SARS-CoV-2 has been designated as an extraordinary event so that the government to speed up the collection and management of this disease then appoints several hospitals that serve as referral hospitals for people who want to check themselves. One of the hospitals used as a reference by the government in West Sumatra is Andalas University hospital. In just one day, the hospital received thousands of samples for examination. The number of samples to be examined and the limited number of administrations that conduct data collection results in the length of the sample collection process. This article aims to design and implement an information system in the data collection of Swab Covid-19 using waterfall model system development methods. The requirement testing model is used for testing a web-based Covid 19 swab data information system whether it is in accordance with system users' needs analysis and design.
Multi-SAP Adversarial Defense for Deep Neural Networks
Authors: Sharma Shorya
Published: March 2024

Deep learning models have gained immense popularity for machine learning tasks such as image classification and natural language processing due to their high expressibility. However, they are vulnerable to adversarial samples - perturbed samples that are imperceptible to a human, but can cause the deep learning model to give incorrect predictions with a high confidence. This limitation has been a major deterrent in the deployment of deep learning algorithms in production, specifically in security critical systems. In this project, we followed a game theoretic approach to implement a novel defense strategy, that combines multiple Stochastic Activation Pruning with adversarial training. Our defense accuracy outperforms that of PGD adversarial training, which is known to be the one of the best defenses against several Lâˆž attacks, by about 6-7%. We are hopeful that our defense strategy can withstand strong attacks leading to more robust deep neural network models.Deep learning models have gained immense popularity for machine learning tasks such as image classification and natural language processing due to their high expressibility. However, they are vulnerable to adversarial samples - perturbed samples that are imperceptible to a human, but can cause the deep learning model to give incorrect predictions with a high confidence. This limitation has been a major deterrent in the deployment of deep learning algorithms in production, specifically in security critical systems. In this project, we followed a game theoretic approach to implement a novel defense strategy, that combines multiple Stochastic Activation Pruning with adversarial training. Our defense accuracy outperforms that of PGD adversarial training, which is known to be the one of the best defenses against several Lâˆž attacks, by about 6-7%. We are hopeful that our defense strategy can withstand strong attacks leading to more robust deep neural network models.
Paddy Leaf Symptom-based Disease Classification Using Deep CNN with ResNet-50
Authors: Rani Pushpa Athisaya Sakila , Singh N.Suresh
Published: March 2024

Agriculture is a globally important occupation. Food is a fundamental need for all living things on the earth, hence it plays a significant role. As a result, agricultural product quality has to be improved. Paddy is susceptible to a variety of illnesses, just like all other crops. Diseases vary by region and season. Despite the fact that the number of new technologies being implemented in agriculture is rapidly expanding, farmers in our nation continue to rely on old methods for disease detection. Machine learning relies heavily on features to classify images. The advancement of the deep convolutional neural network paves the path for disease detection in rice based on deep characteristics, with the expectation of excellent yields. Field photos of four forms of rice leaf diseases, including bacterial leaf blight, brown spot, leaf smut, and tungro, were introduced using this proposed method. The model is trained using the deep CNN classification technique. The pre-trained ResNet-50 model is also included to increase the model's prediction accuracy. Existing approaches are outperformed by the combination of Deep CNN and ResNet-50. Accuracy was used as a criterion for evaluating performance.
A Linguistic Communication Interpretation Wearable Device for Deaf and Mute User
Authors: Rehman Adil , Shoufan Abdulhadi
Published: March 2024

There is a segment of society, which does not have access to today's sophisticated acoustics, but gesture-based sign language, such as using the hands or the shoulders of the eyes, can be a vital tool for making sure their audio is audible. The most widely used sign language in the world, known as ALCâ€”American Linguistic Communicationâ€”varies slightly depending on the nation. Deaf and mute people can communicate effectively by using hand gestures to convey their message. The wearable good glove we developed for this study will translate ALC motions into the proper alphabets and words. It makes use of a glove with a number of flex sensors on the fingers' distal and proximal interphalangeal joints as well as the metacarpophalangeal joint to detect finger bending. The complete system is divided into three units: a wearable hand glove unit with a flexible device that records user-created ALC gestures, a processing unit in charge of taking sensor data, and a final unit that uses a machine classifier to identify the appropriate alphabet. In order to receive known alphabet data in text form through a wired channel via the mobile "Sign to Speech App," which presented that text data into this app, the smartphone unit is linked to the processing unit. Its user-friendly design, low cost, and availability on mobile platforms give it an edge over traditional gesture language techniques.
Real-Time Hidden Data Transmission Using Lora
Authors: Satyavathi D.Monica , Mala B.Vandana , Vamsi Ch.Veera , Chiranjeevi Ch.Chiranjeevi , Neeraj Ch.Neeraj
Published: March 2024

Nowadays, it has become a crucial task in transferring confidential data for military departments, many multinational companies, etc.Â  The important requirement is that the data that has been transmitted should not be visible to hackers or third parties from another end. To satisfy this requirement a wireless technology LoRa is used. Long-distance and low-power wireless communication technologies such as LoRa, Sigfox, and Narrowband-Internet of Things (NB-IoT) were developed in recent years. These technologies can contribute to indoor and outdoor smart applications with minimal power consumption. In this study, the LoRa wireless communication technique was used as the primary data communication method, enabling the device to communicate without requiring an Internet connection or a SIM card. This technology can be implemented in military and defense areas.
Fiber to The Home (FTTH) Network Design in Analyzing Macro Bending Problems in The Home Cable Installation Segment
Authors: Maria Popi , Asri Aprinal Adila , Yustini Yustini , Wiharti Wiwik , Prayama Deddy
Published: March 2024

Fiber to The Home (FTTH) is one of the optical networks used for every home in accessing the internet in the form of voice, data, and video. In this study, the authors built an FTTH design from a Handheld Light Source (HLS) as input, then connected it to ODC. Furthermore, it is connected with ODP, OTP, and ROSET. After building the design, the design was tested using the link power budget calculation method, which is 22.803 dB. As a result, the design has a total attenuation value of 18.4 dB which means it meets the standards and can be used. Next, analyze the problems that have the potential to cause macro bending interference in the FTTH home cable installation segment cable. The methods used in this macro bending problem are the HLS calibration method, Optical Power Meter (OPM) measurement, and Visual Fault Locator (VFL) macro damage detection. From this analysis, the results of macro bending will be obtained on the parameters of curvature diameter, the number of windings, and the search for critical angles of indoor cable macro bending. This macro bending in-home wiring installations affect the total attenuation value on FTTH. In addition, the macro bending of 3-winded indoor cables with a diameter of 0.5 cm on each winding still meets the standards in the FTTH design. However, for macro bending 5 windings with a diameter of 0.5 cm, each winding can cause the total attenuation value of FTTH to pass the Link power budget and ITU-T G984.
Analysis Stability of Abutment on the Railway Bridge
Authors: - Liliwarti , - Silvianengsih , Candra Febrian , - Satwarnirat , Archenita Dwina
Published: March 2024

Railway bridge Bangunan Hikmah (BH 39) Pariaman (Padangâ€“ Pariaman Route) is a new bridge. This new bridge was built because the old one could not accommodate the load of the additional locomotive. The railway bridge consists of two parts: the upper structure and the substructure. The substructure consists of abutments and foundations. When the abutment accepts considerable lateral ground pressure, so the stability of the abutment will be disturbed. To resolve the problem, the need exists to study abutment reinforcement with geotextile or additional foundation pile to raise the stability abutments on the Railway bridge Bangunan Hikmah (BH 39) Pariaman. The result of the loading on the upper structure is obtained. The total vertical force acting on the abutment is 6111,624 kN, and the horizontal load is 2849,689 kN. Abutment stability analysis is carried out in 3 stages (without reinforcement, with reinforcement geotextiles, and with existence foundation pile (bored pile). The results of the analysis show value safety factor minimum without Reinforcement (SF) is 1,29; this shows that the abutment is unstable because the safety factor obtained is < 1.5, Â with reinforcement geotextile, the value of the safety factor minimum Â (SF) is 1,66, Â this indicates that the abutment is stable but still critical and the value of the safety factor (SF) minimum with bored pile foundations is 2,10. Â Installation of a bored pile foundation (pile group) at a depth of 10m shows a significant increase in the value of the safety factor. In the BH 39 Kurai Taji Pariaman railway bridge project, it is recommended to use a pile group foundation with a depth of 10 m.
Academic Advisory Guidance Application Website-Based
Authors: Sukma Fanni , Kasmar Andre Febrian , Afyenni Rita , - Defni , Azizah Nur
Published: March 2024

Academic Advisory Guidance at the Information Technology Department Â Politeknik Negeri Padang is currently carried out manually, causing several obstacles, including time and place. To help with problems that occur, a website-based academic guidance system was built using the waterfall method. The stages of implementation methodology carried out are Analysis, System Design, Program Code Generation, and Program Testing. With this system, students and academic advisors can interact anytime and anywhere without having to meet face-to-face. This can also be a solution for students who have both academic and personal problems.
Incorporating Mobile-based Artificial Intelligence to English Pronunciation Learning in Tertiary-level Students: Developing Autonomous Learning
Authors: Sariani - , Miladiyenti Fithratul , Rozi Fazrol , Haslina Welsi , Marzuki Dony
Published: March 2024

EFL pronunciation learning is known to be teacher-centered, in which students are reliant on the feedback given by their teachers. Fortunately, the presence of technology-based learning tools is believed to be able to reduce students' dependency on teachers. A built-in Automatic Speech Recognition technology (ASR): ELSA Speak is a mobile-based application that could help students with pronunciation learning by providing prompt feedback and detailed evaluation of its users' pronunciation accuracy. The objective of this study was to examine the use of the mobile-based application, ELSA, in pronunciation learning and whether it could stimulate learners to become more autonomous. A mix-method approach was employed in this study. The quantitative data, in the forms of pre-test and post-test, was gathered through students' pronunciation recordings available in ELSA. This data was analyzed using the paired sample t-test. In addition, a Google Form questionnaire, in five-point Likert Scale, was used to support the quantitative findings. Meanwhile, a semi-structured interview with selected participants served as the qualitative one. These data were analyzed thematically based on the participants' responses. The result shows that incorporating mobile-based technology into English pronunciation learning could provide an opportunity for students to improve their pronunciation. Moreover, students could also broaden their repertoire of available practice strategies that might be useful to improve their autonomous learning ability.
The Application of IoT on Consumer Behaviour and Decision-Making Process
Authors: Khazaei Hamed , Wei Chng Kok , Sulaiman Shameer Khan Bin
Published: March 2024

The Internet of Things (IoT) is developing as a substantial tool in information technology. It can potentially enhance the efficiency and convenience of human life. This proposal presents a review of recent experimental studies that suggested applications of the Internet of Things (IoT) on consumer behaviour and decision-making processes. The studies have done review research in the domain of the IoT to measure or observe the consumer decision-making process. I believe there are still research gaps in this field. Several studies can present an understanding of the possible applications of IoT in marketing to sense potential consumer purchasing behavior and components of the decision-making process in detail.
A Mobile Augmented Reality Application for Automotive Sparepart Installation
Authors: Arifitama Budi , Abdillah Zihan Noor , Syahputra Ade , Permana Silvester Dian Handy , Yaddarabullah -
Published: March 2024

Automotive exterior spare parts retailers frequently sell exterior spare parts for a range of cars via direct sales transactions and online media. A major issue has come up for consumers who purchase products online must install spare parts independently, with limited instructions that make it difficult for customers to install the replacement components. This is demonstrated by nearly 50% of online consumers complaining to the seller about installation errors, indicating the need for a solution to these issues. Augmented reality was used as a solution to educate how to install automotive exterior spare parts. In this work, the Spatial Tracking technology is utilized to project objects from a viewpoint in order to send data digitally and show the 3D model to the object's surrounds in real time.Â  This study included as samples rear-view mirrors, headlights, stop lamps, and fog lamps. According to the study's findings, The user acceptance test was carried out by online consumers who buy spare parts at the store, and the results of the average percentage score of the entire questionnaire by more than 53% agree and strongly agree that the use of augmented reality can ease the spare-part installation bought online, the results of testing the AVAR application by the user are successful and well accepted.
Comparative Study of Machine Learning Models on Multiple Breast Cancer Datasets
Authors: Hussain Sujon Md. Arman , Mustafa Hossen
Published: March 2024

Carcinoma is one of the scariest and most frequently occurring cancers nowadays among females. It affects nearly around 10% of females all over the world at some point in their lives. Although the cure for this cancer is currently obtainable, the treatment is not effective enough if the disease is not identified at the early stages. Generally, some contemporary medical tests: roentgenogram, breast ultrasound, biopsy, etc., are used for identifying breast cancer. As an alternative, researchers are exploring machine learning techniques for classifying tumours at different stages, e.g., benign and malignant. Classification and data processing strategies can be effective mechanisms for the prediction of cancer. In this paper, we analyze six classification models: Decision Tree, K Nearest Neighbours, Random Forest, Logistic Regression, Extra Trees, and Support Vector Machine on three different datasets. We applied simple principle component analysis (PCA) to reduce dimensions of the datasets. Experimental results show that Random Forest obtained the best accuracy, recall, and F1 score among the six classification techniques for all three datasets. We also find that data attributes and values are important for accurate classification.
Effect of Modulation on Throughput of 4G LTE Network Frequency 1800 MHz
Authors: Chandra Dikky , Rahmat Fauzi Aditia , Aulia Siska , - Firdaus , Kasmar Andre Febrian
Published: March 2024

In the development of 4G LTE technology, network speed (Throughput) in several regions has increased or decreased. Network speed (Throughput) certainly cannot be separated from Modulation.Â  In modulation there are several kinds of modulation schemes, be it QPSK modulation, 16 QAM modulation, and 64 QAM modulation. The modulation scheme is instrumental in increasing throughput. Based on several previous studies, they only check the Throughput parameters without doing a more in-depth analysis of the modulation scheme which also plays a very important role in network speed (Throughput). For this reason, it is necessary to carry out an analysis related to the effect of modulation on the throughput value. To find out the effect of modulation on throughput, it is necessary to take data in the field, the method used is the Drive Test method. Based on the results of the Drive Test, QPSK modulation has a Throughput value of 5.247.4 Kbps, modulation of 16 QAM has a Throughput value of 27.293.9 Kbps and modulation of 64 QAM has a Throughput value of 65.275.1 Kbps. Based on the data in the field and in terms of calculations, the modulation that most affects the throughput value is the modulation of 64 QAM. Modulating 64 QAM having 64 symbols where each symbol consists of 6 bits will make the data rate at throughput higher. This also applies to the use of modulation of 16 QAM (16 symbols with 4 bits) and QPSK (4 symbols with 2 bits).
A Study on Optimizing an Effective Online Platform to Address Plastic Waste Management in Sri Lanka
Authors: Weerasinghe H. S. R. A. , Alwis D. C. D. , Ginorajh R. , Harischandra G. D. S.
Published: March 2024

Plastic waste is a severe environmental problem with far-reaching effects on the environment, human health, and the economy. Therefore, sustainable methods for managing plastic waste are essential to protecting the environment and guaranteeing a cleaner, healthier future for the next generations. Unfortunately, Sri Lanka is currently grappling with a serious plastic waste management problem, with plastic waste volumes increasing rapidly over the years. However, the issue extends beyond environmental concerns, permeating social and economic spheres. Rapid urbanization, population growth, and low stakeholder awareness of the problem are some of the contributing factors. This requires introducing an effective and efficient system incorporating technology to improve solutions. The proliferation of technology has significantly impacted the global marketplace, resulting in an expanding customer and vendor base. This development has triggered a departure from traditional buying and selling methods, as digitalized platforms offer an efficient approach to securing ideal consumer products. Although countless online fashion platforms exist, many lack a commitment to environmental sustainability. This paper discusses a web-based application designed to accumulate PET (Plastic Polyethylene Terephthalate) bottles, recycle them, and convert them into clothing products. Web-based PET bottle collection is a new innovative feature that addresses this prominent environmental concern. The process generates various polyester threads by separating and reprocessing plastic waste, which is subsequently used to create desired clothes. The ultimate objective of the application is to establish an online clothing store that efficiently manages the plastic waste in Sri Lanka.
Physical Tunning Influence on 4G Network in Minangkabau International Airport
Authors: Yuhanef Afrizal , Chandra Dikky , Mursydan Arif , Zurnawita - , Yusnita Sri
Published: March 2024

The growth of cellular telephone subscribers experienced a significant increase compared to other industries. With large and widespread number of subscribers, many operators have established new Base Transceiver Stations (BTS) to keep up with the increase number of subscribers. However, the addition of BTS is not a total solution to offset the increase number of subscribers. The purpose of this study is to analyze the signal quality, coverage area and network repairs by using physical tuning method. In Telkomsel operator drive test data in Minangkabau International Airport area, the RSRP parameter obtained an average sample data area around the site in the range -110 to 0, with a red indicator of 3.35%, an orange indicator of 18.96% and a yellow indicator amounted 36.3%. In this way, this research optimizes physical tuning method, including Re-azimuth which successfully directs the antenna to the badspot area, then changes the height of the antenna which makes it covered farther and tilting the Antenna which succeeds in making the coverage area more optimal. For the next bad spot area, optimization should be done in real time in the field so that the improvement can be resolved properly.
Design and construct a Yagi Antenna with Three Reflector Element to Strengthen 4G Signal in Rural Areas
Authors: Septima Uzma , Nasrul - , Firdaus - , Uliana Rafika
Published: March 2024

Rural areas are indicated to be still difficult to reach by 4G signals due to diverse topographical conditions and uneven landscapes, especially hilly areas that weaken the signal reception level in this region. To make the 4G signal accessible in this area, a repeater in the form of an antenna is needed to strengthen the signal. In this study, a yagi antenna is designed with three reflector elements at a working frequency of 1800 Mhz 4G LTE, expected to produce a minimum gain of 12 dBi and a more focused antenna radiation to strengthen the 4G signal in rural areas. The antenna design was simulated using CST Studio Suite software, with optimized simulation results yielding a return loss of -22 dB, VSWR 1.167, and gain 12.40 dBi. From the measurements obtained, the yagi antenna with three reflector elements works well at a frequency of 1800 Mhz, with a return loss of -34.77 dB, VSWR 1.065, gain 12.96 dBi, and unidirectional radiation. With the optimal antenna parameters and the addition of three reflector elements, it's possible to increase the gain value, even though the gain increase isn't substantial, and it narrows the HPBW (Half Power BeamWidth) value. Moreover, testing the yagi antenna at 3 different distances demonstrated that the resulting gain value can enhance 4G signal speed in rural areas
Analysis of Eye Disease Classification by Comparison of the Random Forest Method and K-Nearest Neighbor Method
Authors: Meidelfi Dwiny , Hendrick - , Sukma Fanni , Kharisma Srintika Yunni
Published: March 2024

Eye disease is a serious issue all over the world, and image-based classification systems play an important role in the early detection and management of eye disease. This research compares the performance between Random Forest (RF) and K-Nearest Neighbor (KNN) classification models in identifying eye disorders using image datasets divided into four classes: "normal," "glaucoma," "cataract," and "diabetic retinopathy."Â Â  The dataset is converted into a feature vector and then divided into training data and test data subsets. The analysis results show that the RF model achieved an accuracy level of 80%, whereas the KNN model achieved 70%. Based on these findings, it is possible to conclude that the RF model outperforms the other models in categorizing the types of eye illnesses in the dataset. A Python-based website was also built utilizing the Flask framework to build an interactive and real-time eye illness diagnosis system. Users can upload photos of their retinas to this website and quickly receive eye disease detection results. The adoption of this technology has a tremendous impact, making eye disease detection solutions more accessible. Furthermore, this solution plays an important role in the early detection and effective management of eye health cases.
Home Switch Control using Electromyograph and AVR Microcontroller
Authors: Markis Lince , Wardana P. Susetyo , Novi -
Published: March 2024

The increasingly rapid development of technology in the field of biomedical engineering, one of which is applying EMG (Electromyograph) signals to move mechanical devices.  Various studies have been carried out with various methods tested. The research entitled "Home Switch Control using Electromyograph and AVR Microcontroller" is directed at EMG signals in the arm muscles as input to actuate several switch devices which are usually used in homes or hospitals. The results of placing electrodes at 3 points, namely Bicep Brachii, Tricep Brachii, and Wrist Flexor, produce an EMG signal which has 2 different truth values during contraction after extraction using a moving average and thresholding algorithm, so that the final result produces an on-off control system for 1 switch.
Online Platform of Mathematical Terms in Karakalpak Language
Authors: Arziev Allabay , Seypullayev Jumabek , Geldibayev Begench
Published: March 2024

The paper is devoted to the creation of an online platform of mathematical terms in Karakalpak language and its importance for education, cultural heritage and development of scientific research in Karakalpakstan. The platform provides access to a rich base of mathematical terminology in the native language, which facilitates the learning and teaching of mathematics for Karakalpak students and teachers. It contributes to the preservation of cultural values, enriches linguistic resources and stimulates scientific cooperation in the field of mathematics. The creation of this platform emphasizes the importance of linguistic diversity and cultural identity in the context of scientific and educational progress.
The Impact of Online Learning on NDUM Students During COVID-19
Authors: Iskandar Sari Nashikim Radin , Adib Mohammad Khairuddin , Isa Mohd Rizal Mohd , Ali Sharifah Aishah Syed , Shukran Mohd Afizi Mohd , Maskat Kamaruzaman
Published: March 2024

One of the impacts of the COVID-19 outbreak was the closure of numerous education facilities, including schools and universities. Due to the closing of these institutions, the method used for teaching and learning changed from physical face-to-face lecturing to online contactless learning. This helps curb the spread of infections while ensuring that teaching and learning continue as usually as possible. However, questions arise not only about the effectiveness of online learning but also about the impact of online learning on education stakeholders, namely students and educators. This study aims to assess the effects of the lockdown during COVID-19 on National Defense University of Malaysia (NDUM) students. A link pointing to a custom-built questionnaire was forwarded to students through email and WhatsApp. At the end of the survey period, 445 students responded to the questionnaire. The simple percentage distribution was employed to evaluate the student's learning status and their expectations. Based on the analysis, during the lockdown, students faced issues involving technical, time management, social interactions, and surrounding (home-related) issues. In contrast, during the lockdown, students were also keen to learn new technological skills and favorable towards the ability to replay lectures and class materials. These valuable insights on the impact of online learning on students are essential due to the advancement of technology in education, not only in Malaysia but in other nations as well.
Minimum, Maximum, and Average Implementation of Patterned Datasets in Mapping Cryptocurrency Fluctuation Patterns
Authors: Parlika Rizky , Mustafid Mustafid , Rahmat Basuki
Published: March 2024

Cryptocurrency price fluctuations are increasingly interesting and are of concern to researchers around the world. Many ways have been proposed to predict the next price, whether it will go up or down. This research shows how to create a patterned dataset from an API connection shared by Indonesia's leading digital currency market, Indodax. From the data on the movement of all cryptocurrencies, the lowest price variable is taken for 24 hours, the latest price, the highest price for 24 hours, and the time of price movement, which is then programmed into a pattern dataset. This patterned dataset is then mined and stored continuously on the MySQL Server DBMS on the hosting service. The patterned dataset is then separated per month, and the data per day is calculated. The minimum, maximum, and average functions are then applied to form a graph that displays paired lines of the movement of the patterned dataset in Crash and Moon conditions. From the observations, the Patterned Graphical Pair dataset using the Average function provides the best potential for predicting future cryptocurrency price fluctuations with the Bitcoin case study. The novelty of this research is the development of patterned datasets for predicting cryptocurrency fluctuations based on the influence of bitcoin price movements on all currencies in the cryptocurrency trading market. This research also proved the truth of hypotheses a and b related to the start and end of fluctuations.
Analysis of Job Recommendations in Vocational Education Using the Intelligent Job Matching Model
Authors: Farell Geovanne , Zin Latt Cho Nwe , Jalinus Nizwardi , Yulastri Asmar , Wahyudi Rido
Published: March 2024

Vocational high schools are one of the educational stages impacted by Indonesia's low quality of education. Vocational High Schools play a crucial role in improving human resources. Graduates of Vocational High Schools can continue their education at universities or enter the workforce directly. Many students are found to have not yet considered their career path after graduation. At the same time, graduates are still expected to find mismatched employment with their expertise and skills. This research uses CRISP-DM, or Cross Industry Standard Process for Data Mining, to build machine learning models. The approach used is content-based filtering. This model recommends items similar to previously liked or selected items by the user. Item similarity can be calculated based on the features of the items being compared. After students receive job recommendations through intelligent job matching, they can use these recommendations as references when applying for jobs that align with their results. This process helps students direct their steps toward finding jobs that match their profiles, ultimately increasing their chances of success in the job market. These recommendations are crucial in guiding students toward career paths that align with their abilities and interests. The Intelligent Job Matching Model developed in this research provides recommendations for the job-matching process. This model benefits graduates by providing job recommendations aligned with their profiles and offers advantages to the job market. By implementing the Model of Intelligent Job Matching in the recruitment process, applicants with job qualifications can be matched effectively.
Optimizing Educational Assessment: The Practicality of Computer Adaptive Testing (CAT) with an Item Response Theory (IRT) Approach
Authors: Huda Asrul , Firdaus Firdaus , Irfan Dedy , Hendriyani Yeka , Almasri Almasri , Sukmawati Murni
Published: March 2024

This research aims to develop a Computer Adaptive Test (CAT) system using the Items Response Theory (IRT) approach. This study is part of developing a web-based system using the Research and Development (R&D) method, employing the Four-D (4-D) model. At its core, this system is similar to a Computer-Based Test (CBT). Still, the critical difference lies in its ability to randomize and provide questions that align with the test-taker's skill levels using the Items Response Theory (IRT) algorithm. The system employs the 3-PL model from the Items Response Theory, considering the difficulty level of questions, the discriminative power of questions, and the likelihood of guessing or interference in the questions. The examination system randomly assigns questions to students based on their responses to previous questions, ensuring that each test-taker receives a unique question sequence. The exam concludes when a test-taker accurately estimates their ability, i.e., SE <= 0.01, or when all questions have been answered. The outcome of this research is a Computer Adaptive Test (CAT) system based on the Items Response Theory (IRT), which can be used to assess students' learning outcomes. This research was implemented in the Multimedia Department of SMK Negeri 1 Gunung Talang, with 90 students as the research sample. The evaluation of the practicality of this system received very high scores, indicating that the Computer Adaptive Test (CAT) system based on the Items Response Theory (IRT) is considered highly practical and effective in achieving the established measurement goals.