Scientific Journal of Informatics
Scientific Journal of Informatics published by the Department of Computer Science, Semarang State University, a scientific journal of Information Systems and Information Technology which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences.
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<![CDATA[S-box Construction on AES Algorithm using Affine Matrix Modification to Improve Image Encryption Security ]]>
<![CDATA[Alamsyah Alamsyah]]>;
<![CDATA[Budi Prasetiyo]]>;
<![CDATA[Yusuf Muhammad]]>
<![CDATA[ Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v10i2.42305
<![CDATA[Abstract.Purpose: In this study, the AES algorithm was improved by constructing the S-box using a modified affine matrix and implementing it so that there was an increase in security in image encryption.Methods: The method used in this study starts from selecting the best irreducible polynomial based on previous studies. The irreducible polynomial chosen is . With this irreducible polynomial, an inverse multiplicative matrix is formed. The formed inverse mutiplicative matrix is implemented in the affine transformation process using the best 3 affine matrices based on previous research and 8-bit additional constants using AES S-box. This formulation produces 3 different S-boxes, i.e., S-box1, S-box2, and S-box3. Finally, the resulting S-boxes are implemented to carry out the image encryption process and are tested for their security level.Result: The test results show an increase in image encryption security compared to previous studies. The increase in security occurred at the entropy value of 7.9994 and the NPCR value of 99.6288%.Novelty: The novelty of this paper is the improvement of the S-box construction which is implemented in image encryption resulting in increased security in image encryption.]]>
<![CDATA[Enterprise Digital Payment Trends Survey Post COVID-19 Situation ]]>
<![CDATA[Leon A. Abdillah]]>;
<![CDATA[Dhea K Putri]]>;
<![CDATA[Anggy Artavi]]>
<![CDATA[ Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v10i2.43068
<![CDATA[Purpose: This research article presents the results of a survey on digital payment transactions using mobile Fintech applications. The target users are from the tenant or seller side. The research locations were conducted in 2 (two) of the biggest malls in Palembang, namely Palembang Square (PS) and Palembang Trade Center (PTC).Methods: The research method applied is a survey involving online questionnaires using Google Forms.Result: The observed Fintech mobile applications are OVO and ShopeePay. The research collected data on 105 tenants of Small and Medium Enterprises (SMEs). The results show that the Fintech ShopeePay application (62%) is used more than OVO (38%). SME business actors are dominated by women (57%) compared to men (43%). These tenants are mainly in the Gen Z category (73%). Meanwhile, many of the business types of tenants are engaged in the culinary sector (42%). Most of the tenants' turnover range is in the range of 0-5 million (Rupiah) per month (38%). but there are 2% who have a turnover of more than 25 million (Rupiah).Novelty: This research enriches the survey on the use of the Fintech platform from the side of tenants who open their businesses in modern shopping places after COVID-19.]]>
<![CDATA[Analysis of Digital Supply Chain Management in E-procurement Service Usage Using Decision Making Trial Method and Evaluation Laboratory in National Public Procurement Agency ]]>
<![CDATA[Anggar Jati Saesario]]>;
<![CDATA[Devi Ajeng Efrilianda]]>
<![CDATA[ Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v10i2.42224
<![CDATA[This study aimed to identify the implementation of the digital supply chain and its priority in the National Public Procurement Agency’s e-procurement service. To this end, a quantitative study with Decision-Making Trial and Evaluation Laboratory (DEMATEL) method using Matlab R2105a. DEMATEL result showed that eight criteria in the dispatcher group became the main priority in DSCM implementation in LKPP’s e-procurement process. In comparison, the other eight criteria in the receiver group serve as the advanced criteria in DSCM implementation. The planning criterion was the most prioritized and the most influential DSCM criterion in LKPP’s e-procurement service, which covers the distribution requirement process. The three most important DSCM criteria in LKPP’s e-procurement service were the distribution requirement process, delivery and inspection, and transportation management. The analysis showed that some DSCM criteria in LKPP’s e-procurement had met the DSCM principle. Further studies using other methods like Analytic Hierarchy Process (AHP) and Analytical Network Process (ANP) are needed.]]>
<![CDATA[Automatic Scoring Using Term Frequency Inverse Document Frequency Document Frequency and Cosine Similarity ]]>
<![CDATA[Winda Yulita]]>;
<![CDATA[Meida Cahyo Untoro]]>;
<![CDATA[Mugi Praseptiawan]]>;
<![CDATA[Ilham Firman Ashari]]>;
<![CDATA[Aidil Afriansyah]]>;
<![CDATA[Ahmad Naim Bin Che Pee]]>
<![CDATA[ Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v10i2.42209
<![CDATA[Purpose: In the learning process, most of the tests to assess learning achievement have been carried out by providing questions in the form of short answers or essay questions. The variety of answers given by students makes a teacher have to focus on reading them. This scoring process is difficult to guarantee quality if done manually. In addition, each class is taught by a different teacher, which can lead to unequal grades obtained by students due to the influence of differences in teacher experience. Therefore the purpose of this study is to develop an assessment of the answers. Automated short answer scoring is designed to automatically grade and evaluate students' answers based on a series of trained answer documents.Methods: This is ‘how’ you did it. Let readers know exactly what you did to reach your results. For example, did you undertake interviews? Did you carry out an experiment in the lab? What tools, methods, protocols or datasets did you use The method used is TF-IDF-DF and Similarity and scoring computation. Theword weight used is the term Frequency-Inverse Documents Frequency -Document Frequency (TF-IDF-DF) method. The data used is 5 questions with each question answered by 30 students, while the students' answers are assessed by teachers/experts to determine the real score. The study was evaluated by Mean Absolute Error (MAE).Result: The evaluation results obtained Mean Absolute Error (MAE) with a resulting value of 0.123.Value: The word weighting method used is the Term Frequency Inverse Document Frequency DocumentFrequency (TF-IDF-DF) which is an improvement over the Term Frequency Inverse Document Frequency (TF-IDF) method. This method is a method of weighting words that will be applied before calculating the similarity of sentences between teachers and students.]]>
<![CDATA[Hybrid Top-K Feature Selection to Improve High-Dimensional Data Classification Using Naïve Bayes Algorithm ]]>
<![CDATA[Riska Wibowo]]>;
<![CDATA[M. Arief Soeleman]]>;
<![CDATA[Affandy Affandy]]>
<![CDATA[ Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v10i2.42818
<![CDATA[Abstract. Purpose: The naive bayes algorithm is one of the most popular machine learning algorithms, because it is simple, has high computational efficiency and has good accuracy. The naive bayes method assumes each attribute contributes to determining the classification result that may exist between attributes, this can interfere with the classification performance of naive bayes. The naïve bayes algorithm is sensitive to many features so this can reduce the performance of naïve bayes. Efforts to improve the performance of the naïve bayes algorithm by using a hybrid top-k feature selection method that aims to handle high-dimensional data using the naïve bayes algorithm so as to produce better accuracy.Methods: This research proposes a hybrid top-k feature selection method with stages 1. Prepare the dataset, 2. Replace the missing value with the average value of each attribute, 3. Calculate the weight of the attribute value using the weight information gain method, 4. Select attributes using the top-k feature selection method, 5. Backward Elimination with the naïve bayes algorithm, 6. Datasets that have been selected new attributes, then validated using 10 fold-cross validation where the data is divided into training data and testing data, 7. Calculate the accuracy value based on the confusion matrix table.Result: Based on the experimental results of performance and performance comparison of several methods that have been presented (Naïve Bayes, deep feature weighting naïve bayes, top-k feature selection, and hybrid top-k feature selection). The experimental results in this study show that from 5 datasets from UCI Repository that have been tested, the accuracy value of the hybrid top-k feature selection method increases from the previous method. From the accuracy comparison results that the proposed hybrid top-k feature selection method is ranked the first best method.Novelty: Thus it can be concluded that the Hybrid top-k feature selection method can be used to handle dimensional data in the Naïve Bayes algorithm. ]]>
<![CDATA[Factors Affecting Students' Intentions to Use the University's E-Payment System ]]>
<![CDATA[Hersatoto Listiyono]]>;
<![CDATA[Sunardi Sunardi]]>;
<![CDATA[Sugiyamto Sugiyamto]]>;
<![CDATA[Agus Prasetyo Utomo]]>
<![CDATA[ Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v10i2.43825
<![CDATA[Purpose: Most universities prioritize online payment administration because_of_advances_in_information_and communicatio_ technologies, especially for online_banking transactions. Benefits from online banking services such as transactions via Internet banking are very convenient compared to traditional payment methods. On other side is traditional payment methods transactions must queue and come directly to the bank. This study was done to find out what factors in Semarang City affected the adoption of university E-PS as online banking.Methods: 123 students have participated in this research. Six charactersitics were considered in a new study model that examinated how students’ intention to use E-PS was affected: convinience, perceived usefullness, risks, perceived trust and reputation. To validate the reearch model, the structural equation model approach using PLS-SEM was apllied.Result: The empirical result showed that perceived convinience, perceived usefullness and trust had e significan positive relationship with students’ intention to use the University’s E-PS. The empirical results showed that perceived convenience, perceived usefullness, and trust had a significant_positivee_relationshipp_withhstudents’ intentions_to_use the E-PS university. Perceived convinience was also found to have a positive and significan effect on the perceived usefullness of students using E-PS. However, the perceived risks showed a non-significan negative relationship with tudents’ intentions to use E-PS.Novelty: While previous studies have explored the intentions to se E=PS. This research contributes the literature by invetigating the specific factors that influence the adoption of E-PS in the context of tertiary institutions. Additionally, this research provides empirical evidence on the relationhip between perceived convinience and perceived convience and perceived usefullness of using E-PS in univerities. Overall, this research offers a new perspective on the adoption of E-PS in tertiary institutions and contributes to the development of strategies to improve the adoption and use E-PS in universities.]]>
<![CDATA[Metadata Modeling of LoRa Based Payload Information for Precision Agriculture Tea Plantation ]]>
<![CDATA[Eddy Prasetyo Nugroho]]>;
<![CDATA[Taufik Djatna]]>;
<![CDATA[Imas Sukaesih Sitanggang]]>;
<![CDATA[Irman Hermadi]]>;
<![CDATA[Agus Mulyana]]>;
<![CDATA[Sri Wahjuni]]>;
<![CDATA[Heru Sukoco]]>
<![CDATA[ Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v10i2.43432
<![CDATA[Purpose: The purpose of this study is to model the metadata of Payload Information on Agriculture Drones which consists of the results of images computational and the Onboard system of the Drone.Methods: The stages of the research were carried out with the process of forming Payload information metadata from the Agriculture Drone with sensors/actuators based on the architecture and computing with Image Processing or Computer Vision on the camera captures. This study describes the metadata modeling process formed from the Internet of Things system with Drone and GCS communication based on the Long Range or Long-Range Wide Area Network protocols with Payload information consisting of drone data and image computation results. Result: The result obtained is the formation of Payload information from LoRa-based Drones with a frame size of 142 bytes. Novelty: Payload information is formed into a metadata model indicator with the formation scheme being part of the tea plantation dataset. The metadata model will be test expected to obtain field data on Drones and GCS communication in the LoRaWAN Network in tea plantations which are rural environments. ]]>
<![CDATA[Responsible Urban Innovation Working with Local Authorities a Framework for Artificial Intelligence (AI) ]]>
<![CDATA[Ida Farida]]>;
<![CDATA[Wahyu Ningsih]]>;
<![CDATA[Ninda Lutfiani]]>;
<![CDATA[Qurotul Aini]]>;
<![CDATA[Eka Purnama Harahap]]>
<![CDATA[ Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v10i2.43818
<![CDATA[Purpose: By demonstrating that by adopting the principles of responsible urban innovation, we can harness the potential of digital technology to address urbanization issues and can minimize potential negative impacts.Methods: The paper proposes a conceptual framework for accountable urban innovation, focusing on government AI systems, and draws on a literature review, practical examples, and research. The authors argue that responsible urban innovation must balance the costs, benefits, risks, and impacts of developing, implementing, and using AI systems in local government management. This approach emphasizes the importance of achieving desired urban outcomes while ensuring accountability.Results: The framework provides potential directions for future research and development, offering an overview of recognized topics and a schedule for analysis. This research may assist urban managers, planners, and decision-makers in understanding the critical role that government AI systems play in achieving accountable outcomes. By adopting responsible urban innovation principles, we can harness the potential of digital technology to address urbanization issues while minimizing potential negative impacts.Novelty: The conceptual framework presented in this study offers a new view in understanding the role of local government AI systems in achieving accountable outcomes.]]>
<![CDATA[Simulation Coordination Control of PVAnd Battery On Microgrid With PI Controller ]]>
<![CDATA[Adhi Kusmantoro]]>;
<![CDATA[Takashi Hiyama]]>
<![CDATA[ Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v10i2.43923
<![CDATA[Purpose: The output power of PV (photovoltaic) changes according to changes in the intensity of solar radiation. Therefore, the purpose of this study is to use a utility grid connected system to overcome changes in solar energy sources and loads. This is done to maintain an uninterrupted power supply to the load.Methods: In this study, we propose a grid-connected PV system with several DC-DC converters connected in parallel with several PV sources and batteries with PI control coordination. The proposed method includes two stages, namely the DC-DC converter development stage and the battery management strategy stage.Results: The study results show that within 0 seconds to 0.45 seconds the DC bus is supplied with PV. Due to the change in PV, within 0.45 seconds to 0.65 seconds the DC bus is supplied with unit-1 battery. When there is a change in the unit-1 battery, within 0.65 seconds to 0.8 seconds the DC bus is supplied with the unit-2 battery. By using PV coordination arrangements and battery units, the microgrid can still supply power to the load even if changes occur in the PV or grid.Novelty: The novelty in this study is a new microgrid configuration to increase the demand for electrical loads. The new configuration uses multi-PV and multi-battery. Multi-PV is used to supply the load and is stored in the multi-battery, while multi-battery is used at night and if there is a disturbance at the PV output.]]>
<![CDATA[The Impact of System and Information Quality on User Satisfaction and Continuance Intention: An Analysis of Online Motorcycle Taxi (Ojek-Online) Applications ]]>
<![CDATA[Novita Mariana]]>;
<![CDATA[Isworo Nugroho]]>;
<![CDATA[Saefurrohman Saefurrohman]]>;
<![CDATA[Agus Prasetyo Utomo]]>
<![CDATA[ Scientific Journal of Informatics Vol 10, No 2 (2023): May 2023 ]]>
Publisher : <![CDATA[Universitas Negeri Semarang ]]>
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DOI: 10.15294/sji.v10i2.43830
<![CDATA[Purpose: The study’s goal was to analyze the adoption of online motorcycle taxi (in Indonesia it is called an ojek online) technology with the purpose to keep using the application.Methods: The study used the System Success Model to develop this research model. It was conducted based on the premise that information quality and system quality positively influence the ease and usefulness of the system application. The ease and usefulness of the system application have implications for user satisfaction and the intention to continue using the system. The study employed Structural Equation Modeling (SEM) using PLS (SEM) 4.0 to test and evaluate the measurement model and structural model. A sample of 235 respondents who are users of the online motorcycle taxi system in Semarang City was used in the study.Result: Out of 10 hypotheses tested, 9 hypotheses were accepted and 1 hypothesis was rejected. The usefulness of the system had a negative and insignificant influence on the intention to continue using the system. The intention to continue using the online motorcycle taxi application was strongly determined by the ease of the application system and user satisfaction. The discoveredings also showed that the quality of the system had the strongest influence on the ease of the system. Novelty: This study was unique in combining the Technology Acceptance Model and Mclean Delone approach to test the quality of the online motorcycle taxi application towards user satisfaction and intention to continue using the application.]]>
