Melek IT : Information Technology Journal

PEMANFAATAN SOFTWARE IMITOMEASURE UNTUK PENGUKURAN LUAS DAN KELILING PERMUKAAN LUKA AKUT STADIUM II PADA HEWAN UJI MENCIT (Mus musculus)

2023-09-19T22:42:43+00:00

Wound is the loss of tissue caused by trauma due to wounds exposed to cuts, collisions, or chemicals, wounds can cause a person to lose productivity during the wound healing process, in addition to good wound care methods to accelerate the wound healing process, it is necessary to have a reliable wound healing monitoring method and not be an additional risk of infection in the wound, imitomeasure software based on the android system can be a safe wound measurement solution and does not provide additional risk of infection in the wound. In the test results by comparing the use of software, verniers and rulers, the results were not significantly different (P>0.05) in the independent sample T test so it can be concluded that the use of imitomeasure software is quite accurate when compared to conventional measurement methods, besides that this software is very easy and can run on any android and ios-based smartphone so that it can be used by all health personnel.

ANALYSIS OF SATISFACTION AND USEFULNESS OF LEARNING MANAGEMENT SYSTEM (LMS) USING EUCS AND TTF METHODS

2023-10-25T15:48:34+00:00

Student satisfaction with using the Learning Management System (LMS) is one factor determining the achievement of bold learning objectives in tertiary institutions. This study aims to test the satisfaction and usefulness of LMS for students in learning to dare to use several variables in End User Computing Satisfaction (EUCS) and Task Technology Fit (TTF). The relationship between variables in EUCS and TTF was tested using the Structural Equation Model (SEM) based on 184 respondent data obtained from students using Moodle LMS at a university in Jakarta. The study's results revealed that the variable task characteristics and technological characteristics significantly affected TTF and EUCS tasks, and TTF positively affected EUCS. The results of the study provide recommendations that the resolution of LMS technology and the ease of use of LMS are the dominant factors influencing student satisfaction in using LMS

Website Based Cattle Disease Diagnostic Expert System

2023-08-02T20:22:40+00:00

In an industry that is under threat, the health of cattle is an important factor because disease can cause decreased production, animal death and economic loss. The use of a web-based expert system with the forward chaining method has become a promising approach in diagnosing cattle diseases quickly and accurately. In Bangkalan, which has a large population of cattle, a web-based expert system for diagnosing cattle disease is important to help farmers and veterinarians. The system combines artificial intelligence with internet accessibility to provide cattle health information, symptom analysis, diagnosis and treatment recommendations. This research aims to improve the health and productivity of cattle and provide efficient solutions in diagnosing and treating animal diseases. The test results show that the forward chaining method was successfully used in developing a web-based expert system for diagnosing cattle disease. This system can provide solutions and information to ordinary people in identifying diseases in cattle.

PREDIKSI PENERIMAAN SNMPTN MENGGUNAKAN ALGORITMA C4.5 DAN NAIVE BAYES

2023-12-04T18:50:17+00:00

School is a formal education unit where teachers teach various disciplines which aim to make students become superior human beings. Education is important for humans. In general, people in Indonesia want their sons and daughters to be able to get an education at State Universities (PTN). There are many paths that can be taken to PTN, one of which is the National Selection for State University Entrance (SNMPTN) which is the PTN entrance route without a test or selection of report cards. However, the quota for acceptance of PTN through the SNMPTN pathway is at least 20% and the passing grade of each PTN cannot be determined so that the possibility of being accepted into PTN through the SNMPTN route is unknown. Therefore, to be able to predict students who can be accepted into PTN through the SNMPTN path, predictions of SNMPTN acceptance are made using classification data mining with the C4.5 and Naive Bayes algorithm. The goal is that with students knowing the possibility of being accepted into PTN through the SNMPTN pathway, it is hoped that more students can be accepted by PTN through the SNMPTN pathway. This study shows that the prediction of PTN acceptance through the SNMPTN path using data mining classification with the C4.5 algorithm produces a much higher accuracy of 85,09% and the AUC value 0,873, while the Naive Bayes algorithm produces an accuracy of 63,01% and the AUC value

SALES PERFORMANCE RATING INFORMATION SYSTEM AT PT CAHAYA MOTOR SURABAYA USING AHP METHOD

2023-11-20T10:37:11+00:00

In today's modern era, giving awards to sales who have high performance is needed so that sales performance is always good and optimal. At PT Cahaya Motor Surabaya, the ranking system has obstacles, namely the assessment is carried out by the slim leader and the system cannot be seen by all users. For this reason, an information system is needed that can facilitate leaders in ranking sales. One of them is a ranking information system that uses the AHP or Analytical Hierarchy Process method and is website-based. By doing this research, it is hoped that a good ranking monitoring information system will be formed so that the Chairperson can give awards to sales who have the highest prospects easily.

ONLINE POPULATION ADMINISTRATION INFORMATION SYSTEM IN RT 02 KETINTANG BARU

2023-10-25T15:55:52+00:00

One of the tasks of the Neighbourhood (RT/Rukun Tetangga) Head, as an extension of the Village apparatus, is to write introductory letters for residents who will take care of population administration. Population administration includes transfer letters, entry letters, birth certificates, death certificates, breaking out family cards, making KTP (Identification Cards), etc. The recording of the cover letter for population administration in RT 02 Ketintang Baru is handled by the Neighbourhood Head using Excel data processing tools. However, in the process this still raises several problems, including the presentation of information that is less organized and the process of making cover letters for residents is not yet automatic. This is because residents have to wait to meet directly with the Neighbourhood Head and are very dependent on the presence of the Neighbourhood Head. Therefore, an information system is needed that can improve the quality of service and make it easier for Neighbourhood Head and residents to prepare cover letters for population administration. Apart from that, this information system is website-based which allows residents to submit a cover letter for population administration to the Neighbourhood Head online. The method for creating the system uses waterfall. The implementation of this system is based on a dynamic website using PHP with data storage using MySQL. The testing using the blackbox method which is carried out to determine whether the features of the system can run well. The results show that the system successfully carries out all the functions or features it has for the process of submitting a cover letter for population administration from residents to the Neighbourhood Head online.

DESIGN OF AN IOT-BASED AUTOMATIC CRACKERS CLOSET FOR FISH CRACKERS MANUFACTURER IN SIDAYU GRESIK

2023-11-30T09:53:11+00:00

Gresik Regency is one of the regencies in East Java province with a geographical location directly adjacent to the coast of the Java Sea. The amount of milkfish cultivation that can be produced from ponds located on the north coast of Gresik Regency has a high potential value to be utilized as processed fish products. One of the most widely produced processed fish products is milkfish crackers. The availability of easily obtained raw materials does not make it difficult to process fish crackers. Drying crackers by drying in the sun will run smoothly in hot weather or dry season. However, when entering the rainy season, there are often many obstacles, namely the heat of the sun that does not match what is needed, such as cloudy weather and even if it suddenly rains, which sometimes causes mold on the crackers because there is not enough time to take the crackers that are being dried. The drying process must always be supervised directly by humans, besides that there are several types of crackers with different compositions that have different drying times. This tool is enabled to recognize the weather including light intensity, air temperature, and rainfall so that it is considered more efficient to use during the rainy season. The user simply puts the fish crackers on the clothesline and when the tool recognizes rainy or cloudy conditions, the fish cracker clothesline will be pulled by an electric motor to be put into the room. When the user is away, the clothesline can also be monitored and controlled remotely. As a result, the IoT-based Automatic Cracker Clothesline System can recognize whether the weather is sunny, hot, or rainy. The system can also extend the clothesline automatically when the weather is sunny or hot, the system can pull the clothesline when it rains or cloudy automatically. The system can send notifications to the smartphone according to the weather conditions and the position of the clothesline being pulled or extended in realtime, the system can display the indicators of each sensor to the smartphone. Users can also enter the drying time and minimum temperature range into the system. As a result, the system can run well to recognize the weather around the cracker clothesline and can insert crackers when it is raining, cloudy or when the drying time has expired automatically.

USABILITY ANALYSIS OF THE LEARNING MANAGEMENT SYSTEM AT WASKITA AMIKOM UNIVERSITY: APPROACH TO THE SYSTEM USABILITY SCALE

2024-02-03T02:30:38+00:00

This research was conducted at Amikom Yogyakarta University, an institution that responded adaptively to the pandemic by developing the Waskita Learning Management System (LMS). LMS Waskita serves as a supportive platform for teaching and learning activities, facilitating the exchange of lecture materials, assignment submissions, and quizzes between lecturers and students. Usability evaluation was conducted using the System Usability Scale (SUS), a simple and reliable user testing method. The evaluation results indicate that LMS Waskita obtained an average SUS score of 54.2, falling into the 'Not Acceptable' category, indicating the need for improvement. In addition to the SUS calculations, an analysis of respondent suggestions was also carried out to strengthen the evaluation results. This research provides valuable insights for the development and enhancement of the quality of LMS Waskita to improve user experience and usability.

Analysis of Attrition Rates and Strategies for Increasing Student Participation Using the Decision Tree Method

2023-11-06T14:13:50+00:00

This research investigates the factors that influence students' decisions to withdraw from campus with the aim of developing strategies to increase student participation through the application of the decision tree method. Decision Trees are used to form decision trees that are easy to interpret and enable statistical pattern recognition. Research is based on UKT group criteria, social studies and GPA scores, student semesters, and credits taken. Research data was taken through a literature study from the Kaggle web platform regarding the number of students who withdrew. The research results show that the highest rate of resignation occurs among students who are not active in organizations. Even though students with a GPA in the range of 3.00-3.78 experienced withdrawal, the findings confirmed that GPA was not the main reason. The smallest UKT group (2-3) shows a lower withdrawal rate than the largest UKT group. This confirms that students who are less active in organizations are the students who resign the most. As a strategy to increase student participation, research recommends that students increase awareness and promote organizational activities, lecturers can create coaching and guidance programs, academic support. This strategy can help create a campus environment that supports student participation in organizational activities.