Comparison of Indonesian Population Information System Service Performace Based On Information System Functional Scorecard Theory

The Balikpapan Population and Civil Registration Office has implemented service automation by using an information system to support the population and civil registration administration services in Balikpapan, Indonesia. The information system implemented is called The Population Administration Information System (SIAK). The office has previously implemented an information system similar to SIAK, namely the Population Administration Organizing System (SPAK). One of the office aims is to improve the quality of SIAK. SIAK quality is improved in order to achieve optimal service. As a step of achieving vision and mission, implementing work functions and optimizing the utilization of information systems, the comparison of information system performance between information systems that have been used with information systems that have previously been used. The guidelines used in assessing the performance of both systems are Information System Functional Scorecard (ISFS) theory. The data collected by questionnaires then conducted Paired-T Test so that the results of the two systems were obtained differences and can be compared to know which system is superior. SIAK is an information system that is declared superior to SPAK. Furthermore, the comparison results become a reference in providing recommendations for SIAK performance improvement based on the performance comparison results with SPAK.

Internet of Things (IoT) Cloud Platform Using MQTT End-to-Cloud Architecture

IoT devices are constrained in computation and storage, therefore cannot store all long-term obtained data or perform complex computations. Shifting those jobs to cloud platform are feasible, yet rising heterogeneity and security issues. This study proposes an IoT cloud platform to facilitate communication among heterogeneous devices and the cloud while ensuring devices’ validity. It uses publish/subscribe paradigm with an end-to-cloud architecture and HTTP-based auth server. The proposed system has successfully addressed heterogeneity and security issues. Performance tests conclude that the fewer publishers publish data simultaneously, the smaller the delay. Moreover, the system performs better at up to 250 publishers as the average delay is under 1000 ms, compared to 500 publishers that has average delay above 1000 ms. On its scalability, in 250-concurrent-publishers experiment, the system affords 191 publishers responded in under one second with 100% success rate. In 500-concurrent-publishers one, 187 responded in under one second with 99% rate.

Mastery of Technological Pedagogical And Content Knowledge (TPACK) Prospective Teacher In ICT Expertise Brawijaya University

The Information Technology Education (ITE) study program, Faculty of Computer Science, Universitas Brawijaya requires its students to take part in Pengenalan Lapangan Persekolahan (PLP) 2 according to Permenristekdikti No. 55 of 2017 in order to be able to produce prospective teachers who have the competence of educators. This study describes the gap in mastery of competencies with the TPACK framework based on the results of PLP 2 activities which are compared with standard values using a discrepancy evaluation model. The results of the gap are mapped using the method Importance Performance Analysis (IPA) to determine the priority scale for improvement of variables according to positions in certain quadrants. Through the IPA method, the variables that are prioritized to improve their mastery are TPK and PCK because they have very small gaps. Recommendations are given for the TPK variable to be given a pretest and posttest on the material for preparing teaching tools and training in the preparation of lesson plans. For the PCK variable, should be given pretest and posttest to the study material for theoretical and practical learning scenarios, the activities are needed lesson study which is carried out at least twice.

Go Story: Design and Evaluation Educational Mobile Learning Podcast using Human Centered Design Method and Gamification for History

Technological developments, especially in the field of education, can help students learn more effectively and help the learning process. The learning method used in high school for history learning still uses conventional methods. The use of this conventional method often experiences problems such as students being less motivated in learning. One of the solutions proposed in this article is to design an android-based learning media that can support the activities of the learning process named go-story. Interface design for students as application users and (UI/UX) based on human centered design methodology and the concept of gamification. The human centered design approach and the concept of gamification will be used in the analysis and design process to maximize the usability and engagement of the application. The application will be implemented and tested on students to measure its effectiveness. The trials that have been carried out show the results of improvements

Developing A Supply Chain Of Apple Processed Product Traceability Information System Based On Smart Packaging And Digital Business Ecosystems

Apples are one of the fruits that much post-harvest processing can do. Apples can be processed into drinks or snacks. The need for information about nutritional content is needed by consumers. Therefore, a traceability information system is needed that can enable consumers to know the nutritional content involved. This research uses the Waterfall model information system development method and the Unified modeling language (UML). This method allows for the sequential development of information systems. The results of this research will be in the form of an information system that has been tested using the Requirement Traceability Matrix (RTM) and Response for a Class (RFC) method. The resulting Response for a Class (RFC) value is 5.17, meaning that this information system will be easy to adapt later

Comparison between SAW and Knowledge based SAW in Recipe Recommendation System

Recipes are used as a reference in processing cooking ingredients to meet personal nutritional needs, considering the ingredients used to make food sold freely that is not necessarily guaranteed in nutritional quality and safe to consume, especially during the pandemic as it is today. So cooking itself becomes a better alternative for the community. With a large number of food recipe options available for various media, the role of a Decision Support System is needed by people who will get food recipe recommendations. Research related to recipe recommendations that have been done are using SAW only and some add experts as a source of knowledge to provide value on the variable time and complexity of cooking recipes. Therefore, in this study, a comparison between the research of recipe recommendations with SAW only and research that added a subsystem of knowledge management derived from experts to support the decision support system of food recipe recommendations was conducted by using correlation testing. The results is there is a strong correlation between knowledge based SAW and user preference to the value of 0.9774. The result is better than SAW only and user preference with the value of 0.7262.

Development of Telegram Bot for Flipped Learning Chemistry Class with UCD Approach

The need for media that supports online learning is increasing along with the Covid-19 pandemic that is spreading in the world. The learning media is expected to be in the form of media that is easy to use and does not require additional costs incurred by students. One application that is widely used today is Telegram. The application provides a telegram bot facility that can assist teachers in delivering the material they are taught. By using the telegram bot, students can easily use applications on their mobile phones without installing additional applications. This study discusses the development of online learning methods using telegram bots as a medium for delivering material to students using the approach of UCD. This study used usability testing to evaluate the Telegram bot as the media for flipped learning. There are five indicators measured in the usability evaluation we used in this research. The result of the assesment is 83.56%.

Evaluation Quality and Success Implementation of Nganjuk Smart City Mobile Application Using Technology Acceptance Model (TAM) and Delone Mclean Model Approach

Nganjuk Smart City is an android-based mobile application that was created to help Nganjuk citizen obtain public information and services. This research uses Technology Acceptance Model (TAM) and Delone & Mclean in order to determine quality and success implementation condition of Nganjuk Smart City. Data retrieval was conducted by sharing online and offline questionnaires to 175 respondents and used purposive sampling techniques to determine research samples. The result of this research is quality condition implementation of Nganjuk Smart City based on Technology Acceptance Model (TAM) falls into high category and get 71.4% score, while successful condition implementation of Nganjuk Smart City based on Delone & McLean model falls into the high category and get 69.4% score. There are 4 variables and 18 indicators that get improvement recommendations because they get scores lower than the total average scores.

Sentiment Anlysis On Customer Reviews Using Support Vector Machine and Usability Scoring Using System Usability Scale

Al-Ghiff Steak is a restaurant located in Cirebon City that offers quality steaks at affordable prices. For maintaining a competitive Al-Ghiff Steak advantage and reputation, it is important to build a good relationship with customers and have a business strategy that considers customer opinions. However, in its implementation, Al-Ghiff Steak has difficulty when collecting and processing customer review data manually. Therefore, it is necessary to conduct sentiment analysis by utilizing Google Reviews to determine customer perspectives regarding Al-Ghiff Steak products and services. This analysis was conducted on 968 Google Review reviews from 2016 to 2020 using the Support Vector Machine (SVM) and Term Frequency-Inverse Document Frequency (TF-IDF) methods. Classification testing is done with a confusion matrix against four parameters: accuracy, precision, recall, and f1-score. SVM with TF-IDF gets accuracy value 83%, precision 64%, recall 60% and f1-score 59%. The sentiment classification result is then visualized in the form of a dashboard. We utilize the System Usability Scale (SUS) for usability testing, which produces a value of 77.5. This result achieve the Acceptable category and an Excellent rating.

The Differences of Student's Learning Outcomes and Instructional Interactions between Project Based Learning and Problem Based Learning Methods by Using Web Based Learning Technique in the Course of Videography at SMKN 1 Purwosari

Learning activities during the COVID-19 pandemic has been making students are not able to be active than before the pandemic, and their learning outcomes somehow become less than optimal. This phenomenon tends to happen because the teachers only deliver the course material briefly then give assignments to students in the end of online class session. Therefore, this present study aimed to analyze the differences of students' learning outcomes and instructional interaction on the course of Videography by applying the method differences of PjBL with PBL. This present study applied Quasi Experiment research method by using Nonequivalent Control Group Design. The subject of this present study involved students of grade XI from department of Visual Communication Design, SMK Negeri 1 Purwosari. Hence, its research sample was categorized as population member since there was only one group within the class of DKV Department. Furthermore, the data collection techniques included questionnaire non test of instructional interaction and test results of learning questions pre test and post test. This present study also applied independent t test as the data analyzing technique. Eventually, the results showed that PjBL method was more appropriate in term of learning outcomes than PBL method in which it was evidenced with the hypothesis test result was less than significant level of 0.05. Additionally, PBL was more appropriate in term of instructional interaction than PjBL method that was showed by hypothesis test result which was less than significant level of 0.05.