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Edu Komputika Journal
Published by Universitas Negeri Semarang
ISSN : -     EISSN : 2599297X     DOI : https://doi.org/10.15294/edukom
Core Subject : Education,
Education
Edu Komputika Journal uses Open Journal Systems (OJS) for online journal management in submission, review, copyediting, and publication. Submitted manuscripts are written in English and should follow the style of the Edu Komputika Journal. Manuscripts are original research results, or theoretical/literature study results that have never been published in other journals or are not considered for publication elsewhere. The author should follow all the provisions and processes. Accepted papers will be available online and will be charged a publication fee.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 16 Documents
 1   2 
Analysis of Forecasting Methods on Rice Price Data at Milling Level According to Quality Aulia, Indira Dhekawanti; Pratama, Irfan
Edu Komputika Journal Vol. 11 No. 1 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i1.4763

Abstract

Rice is a primary source of carbohydrates for many Indonesians, and its prices often surge due to uncontrolled demand. Therefore, the government is crucial in monitoring rice prices to maintain stability. Information technology, particularly data mining such as forecasting, is essential for providing accurate information on future rice prices. It will assist various stakeholders in making informed pricing policy decisions. This study employs Random Forest Regression and Gradient Boosting Regressor methods to predict rice prices using a dataset that includes monthly average rice prices at milling levels, categorized by quality (Premium and Medium), spanning from January 2013 to April 2024. The dataset consists of 136 rows, each representing a unique combination of year, month, and quality, and is stored in CSV format. Methodological steps include data collection, preprocessing, modeling, and model evaluation using monthly average rice prices at milling levels based on quality, including premium and medium grades. The results from Random Forest Regression indicate Root Mean Square Error (RMSE) values of 24.90 for premium rice and 25.47 for medium rice. The study reveals that Random Forest Regression outperforms Gradient Boosting Regressor in this context. Future research should explore additional prediction methods and consider other variables influencing rice prices to enhance model accuracy.
Feature Extraction Implementation in the Forecasting Method to Predict Indonesian Oil and Gas Exports and Imports Pradana, Michael Anggun Kado; Pratama, Irfan
Edu Komputika Journal Vol. 11 No. 1 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i1.7879

Abstract

Future export and import predictions can use data mining and forecasting applications of data mining. Then, normalisation is carried out using datasets taken at the centre of the statistical agency using a mix-max scaler. The normalisation results are then calculated using several forecasting methods, such as Exponential Smoothing, SARIMAX, XGBoost, and CatBoost. The accuracy of this method can be improved by using feature extraction decomposition. They are decomposing, such as trend, residue, and seasonal. The results of the decomposition then become new features that are entered into the prediction model. The prediction results are evaluated using the root mean square error (RMSE). The smaller the RMSE, the better the results. The prediction results without using the method obtained by the Exponential Smoothing method have the best level of accuracy with an average RMSE value of 0.111 and the SARIMAX method with an average RMSE value of 0.146. Meanwhile, the prediction results using the CatBoost and XGBoost feature extraction methods have the best level of accuracy with an RMSE value of 0.046. From the results of the comparison of predictions, the addition of decomposition features to most forecasting methods can significantly increase the accuracy of the calculation.
Utilisation of Analytic Hierarchy Process in Determining Natural Disaster Evacuation Points Sandhy Fernandez; Muhamad Awiet Wiedanto Prasetyo; Argiyan Dwi Pritama
Edu Komputika Journal Vol. 11 No. 2 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i2.10163

Abstract

The positive impact of the dry season in Indonesia is that the tourism sector, which prefers to travel to beaches, islands and other tourist attractions, becomes busier and activities such as surfing and diving are usually better during the dry season. Another negative impact is the natural disaster of forest fires and dry peatlands which are highly flammable and cause damage to the natural environment, reduce air quality and threaten wildlife habitats. The most frequent natural disasters in Indonesia are floods, which have a significant impact on health problems because polluted flood water can cause water diseases such as diarrhea, skin infections and even threaten people's lives. Determining the best evacuation point in the context of disaster mitigation is a complex and critical decision. The Analytic Hierarchy Process (AHP) method is a decision analysis method that makes it possible to compare several different criteria that are relevant in decision making, very helpful for determining the most effective alternative. The existing calculation results are added from each existing sub-criteria, the Supermarket alternative result is 0.27, the Hill alternative result is 0.45, the Health Center alternative result is 0.03, the Place of Worship alternative result is 0.30, the Government Building alternative result is 0.28. If the largest value is ranked to the smallest value, Alternative Bukit is the best evacuation place in the event of a natural disaster. 
Development of the RPS Module in the Portal-Prodi System at the University of Lampung using the RAD Method Pratama, Mahendra; Pramudya, Rivan Herdian; Muda, Mona Arif; Septama, Hery Dian
Edu Komputika Journal Vol. 11 No. 1 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i1.10525

Abstract

The development of the RPS Module in the University of Lampung Study Program Portal System aims to streamline and standardize the creation of Semester Learning Plans (RPS) in various study programs. In 2020, the ministry issued a policy ranking state universities based on key performance indicators (KPI). The KPI assessment has eight indicators, including KPI 7: Collaborative and Participatory Class. In this indicator, the Semester Learning Plan (RPS) is one of the main pieces of evidence for universities stating that lectures taught by lecturers are carried out using the Project Based Method or Case-Based Method. This research uses the Rapid Application Development (RAD) methodology. The iterative nature of the RAD method facilitates efficient requirements gathering, user design, construction, and implementation stages. The main features of the semester learning plan module have been successfully developed based on the features that have been created, namely, submitting RPS, validating RPS, viewing RPS, and printing RPS by generating RPS into a PDF file. Based on testing the semester learning plan module using the black box method, the test results followed the expected results and went well. This study contributes to ongoing efforts to integrate digital solutions in higher education administration.
Sentiment Analysis of Visitor Reviews on Baturaden Tourist Attraction Using Machine Learning Methods Afrad, Mahazam; Febrianto, Dany Candra; Wijayanto, Sena; Fathoni, M. Yoka
Edu Komputika Journal Vol. 11 No. 1 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i1.10561

Abstract

This study evaluates the performance of four machine learning models: Support Vector Machine (SVM), Random Forest, K-Nearest Neighbors (KNN), and Naive Bayes in analyzing visitor reviews of the Lokawisata Baturaden tourist attraction. Using 5-fold cross-validation, the study aims to determine which machine learning model best suits sentiment analysis on the Baturaden review data. This study was conducted through several stages, including data preprocessing, feature extraction, and the data training process. Case folding, text cleaning, tokenization, stopword removal, and stemming were performed during the data preprocessing stage. The feature extraction method used was TF-IDF. SMOTE was applied to increase data variation and address the data imbalance in the dataset. The results show that SVM provides the best performance with an accuracy of 0.937, an F1-score of 0.937, a precision of 0.943, and a recall of 0.937. Random Forest also performs well with an accuracy of 0.918 and an F1-score of 0.918, though slightly below SVM. KNN shows the lowest performance with an accuracy of 0.651 and an F1-score of 0.544, while Naive Bayes performs adequately with an accuracy of 0.845 and an F1-score of 0.841. Based on this evaluation, SVM is recommended as the best model for sentiment analysis of reviews, followed by Random Forest as a good alternative. The KNN model is not recommended due to its lower performance, while Naive Bayes can be considered for its speed and simplicity, although its results are not as good as SVM and Random Forest. These conclusions guide the selection of the optimal model to enhance understanding and visitor experience at the Baturaden tourist attraction.
Development of Android Application for Ordering Vegetables and Food Condiments Brata, Adam Hendra; Brata, Komang Candra; Mahendra, Arya Yudha
Edu Komputika Journal Vol. 11 No. 1 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i1.10662

Abstract

The growth of internet users continues to increase rapidly each year, supported by the growth of accompanying devices. Mobile applications are the main drivers of the increasing number of internet users. In Indonesia, internet users have reached 47% of the total population. Based on this data, around 46% use it to visit online trading sites. The phenomenon of the rise of online buying and selling is certainly very beneficial, especially for the residents of Malang City, where 34% of its population are traders. Supporting applications for conducting trade are essential for both merchants and consumers to facilitate the business process of buying and selling. This research will study the development of a buying and selling application between sellers and consumers, emphasizing ease of use. The development of this application uses the Mobile-D development model as a reference. The Mobile-D method was adopted because offers a development process well-suited for users who are not directly alongside the developers. Additionally, Mobile-D's iterative nature allows it to accommodate changing requirements, making it ideal for gathering needs directly from the application's end users.  Based on the results of the study, user evaluations of the application showed a score more than 70, leading to the conclusion that the developed application is user-friendly and acceptable to users.
The Effectiveness of Flipbook-Based Learning Media Using Problem-Based Learning on Students’ Interest in UX Design Course Hidayat, Wahyu Nur; Smaragdina, Azhar Ahmad; Kirana, Kartika Candra; Firmansyah, Muhammad Ferdian; Mas’udah, Ajeng Ramadhani Lailul; Akbar, Asna Isyarotul; Sari, Rahajeng Kartika
Edu Komputika Journal Vol. 11 No. 1 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i1.10696

Abstract

User Experience Design at the State University of Malang encounters significant challenges in students' grasp of essential concepts such as Design Thinking, User Experience (UX), and User Interface (UI) design, primarily due to the lack of specialized learning resources. This study addresses these challenges by developing a Flipbook-based learning resource integrated with Problem-Based Learning (PBL) strategies, aiming to enhance student engagement and motivation. The research follows the Research and Development (R&D) method, utilizing the ADDIE model, which includes Analyze, Design, Development, Implement, and Evaluate phases. The resulting media, a UX Design flipbook with a .html extension, underwent rigorous validation. Material expert validation achieved a score of 81.90%, while media expert validation scored 87.82%, both categorized as very feasible. Furthermore, small and large group trials yielded very feasible ratings of 86.23% and 87.38%, respectively. The student interest test indicated a high score of 86.30%, reflecting very high student interest. These findings demonstrate that the developed media is well-suited as supplementary material in UX Design education, promoting a more interactive, engaging, and effective learning environment. This innovative approach holds promise for improving student understanding and interest in the UX Design course.
Analysis of the Use of the Merdeka Mengajar Platform Using the Hedonic Motivation System Adoption Model Djusar, Syahtriatna; Abini, Eka Yestira Nita; Asril, Elvira; Zamsuri, Ahmad
Edu Komputika Journal Vol. 11 No. 1 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i1.10741

Abstract

The success of the implementation of the Merdeka Mengajar Platform (PMM) is measured by its acceptance and sustained use by teachers. This study will measure the factors influencing the acceptance and continued use of PMM by 53 teachers as respondents, from four high schools in the Rumbai District of Pekanbaru City, Riau Province, each of whom was given 21 questions. To accomplish this, the Hedonic Motivation System Adoption Model was used, which includes the following variables: Perceived Ease of Use (X1), Perceived Usefulness (X2), Curiosity (X3), Joy (X4), Control (X5), Behavioral Intention to Use (Y1), and Focused Immersion (Y2). Data analysis was conducted using Validity Tests, Reliability Tests, Normality Tests, Linearity Tests, Correlation Tests, Partial Tests, Simultaneous Tests, and Hypothesis Tests. The aspects derived from the use of PMM indicate that the hedonic factors for ease of use (X1) and curiosity (X3) in relation to intention (Y1) have correlation values of 0.560 and 0.661, respectively. Ease of use (X1) has full control over joy (X4) in relation to intention (Y1), with correlation values of 0.560 and 0.657. The factors influencing the success of PMM acceptance are curiosity (X3) and joy (X4). The higher the ease of use combined with curiosity and joy, the stronger the intention to use the application.
Implementation of Project-Based Visual Programming Modules on Problem-Solving Skills Information Technology Education students to Support the SDG’s Hasanah, Fitria Nur; Wiguna, Akbar; Shofiyah, Noly; Handayani, Nuri Fitri
Edu Komputika Journal Vol. 11 No. 1 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i1.10804

Abstract

Students in the Information Technology Education program need to master programming languages as an essential part of their competencies to support educational goals. One of the courses that require programming proficiency is Visual Programming or desktop-based programming. Problem-solving skills are crucial in the development of desktop-based applications.  This study aims to analyze the visual programming problem-solving abilities of PTI students in supporting the SDGs through the implementation of the project-based visual programming module. This research employs a quantitative approach with a pre-experimental design of the One-Group Pretest-Posttest type. The sampling technique used is purposive sampling, involving 15 students currently taking the object-oriented programming course. The data used in this study consists of the test results of problem-solving abilities through the final project. Based on the analysis, the project-based visual programming module has been proven effective in improving students' problem-solving skills, as indicated by the paired sample t-test with a significance value of 0.002 < 0.05. In conclusion, there is a significant difference in students' problem-solving abilities before and after using the project-based module. The improvement in students' problem-solving skills through this module is considered high, with an N-Gain score of 0.839.
Development of Learning Media for Hydroponic Systems Based on the Internet of Things Arief, Ulfah Mediaty; Afdam, Delano Hafis; Sukamta, Sri; Dzulfikar, Andi Muhammad; Yarman, Indah Novi; Widiatningrum, Talitha; Baswara, Satsya Yoga; Prasetya, Johanes Adi
Edu Komputika Journal Vol. 11 No. 1 (2024): Edu Komputika Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukom.v11i1.10912

Abstract

Advances in information and communication technology have changed the paradigm in the agricultural sector, especially in the application of the Internet of Things (IoT). An IoT-based monitoring system is an innovative step as there is an increasing need for technology in the agricultural sector and the development of the world of education. SMK Negeri 3 Salatiga, majoring in agribusiness, has great potential in hydroponic agriculture of lettuce plants, but there is no use of IoT technology in it. Hydroponic learning activities at SMK Negeri 3 Salatiga still use manual hydroponic learning media, which results in the competence possessed by teachers and students not being competent in IoT technology, especially its application to hydroponics. Meanwhile, if adjusted to learning outcomes, students should be able to fertilize plants in a modern way. The purpose of this study is to develop and implement hydroponic monitoring learning media based on Internet of Things technology. The application of learning media aims to improve the understanding or competence of teachers and students at SMK Negeri 3 Salatiga. The research methods used are Research and Development with the ADDIE development model, as well as one group pre-test and post-test design research design with 31 samples as a competency improvement test. This study resulted in 26 participants out of 31 participants experiencing an increase in competency in the results of the post-exam exam. So, it can be concluded that there is an increase in the competence of using hydroponic IoT by 83% among teachers and students.

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