International Journal on Advanced Science, Engineering and Information Technology
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2006 research outputs found
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A Comparative Analysis of External Lightning Strike Protection Area Determined by Using Protection Angle and Rolling Sphere Methods
Full text linkThe lightning phenomenon is a natural disaster that endangers human life. The nature of grabbing objects closest to the cloud can cause fires, damage to electrical equipment, and even fatalities. The Padang Institute of Technology is a campus that has tall buildings, such as buildings B, C, D, E, and F, without an adequate lightning protection system. This is certainly a concern regarding security and safety for building users on the ITP campus. This research was conducted to reduce the risk of being hit by a lightning strike on the ITP campus. The protection system design process refers to the IEC 62305-3 standard comparing the protection angle and rolling sphere methods. Meanwhile, the procedure for calculating building requirements for a protection system or building protection level refers to the PUIPP and IEC 1024-1-1 standards. After analyzing the lightning rods in 5 ITP campus buildings by comparing the protection angle and rolling sphere methods, it can be concluded that there are still parts of the building that are not protected by the size of the installed air terminal. To overcome this, adding or adjusting the air terminal level is necessary so that all buildings are in the protection area. In addition, in conducting the analysis, the method considered the best to provide clear information on the part of the building that needs protection and the amount of the building that has been protected is the Rolling sphere method
Integration of Adaptive Collaborative Learning Process in a Hybrid Learning Environment
Full text linkTechnology integration has been crucial in the practice of the learning process. The use of technology aims to find effective solutions to traditional learning problems. Despite the enormous efforts adopted, using e-learning systems was optional in many education systems. However, the COVID-19 health crisis has shown the importance of the transition to e-learning to ensure pedagogical continuity. According to several studies that have measured the impact of COVID-19 on education systems and the adopted solutions, blended learning represents an effective solution for combining the advantages of face-to-face and distance learning. But the implementation strategies regarding this mode of learning are still limited. For this purpose, we propose a hybrid learning model based on collaborative work through an intelligent assignment of learner roles. This approach aims to support adaptive learning via a hybrid learning environment. The proposed solution is based mainly on collaborative work as an active learning method, using the Naïve Bayes algorithm and Belbin theory. The usefulness of collaborative work is to keep the learning rhythm between face-to-face and distance learning and to encourage learners' engagement and motivation through this mode of learning. According to Belbin's theory, the results of this work propose an adequate role for each learner. This intelligent assignment leads the learner to live the learning situation and not undergo it
User Interface Design of Jaipong Dance Applications for Elementary School using the User-Centered Design (UCD) Method
Full text linkThe Jaipong dance is one of the traditional Indonesian dances, the nation's cultural heritage originating from West Java. Introducing dance to elementary school-level children is one way to maintain and preserve regional culture. However, the limited learning time causes the material to be delivered less in-depth, so students feel bored, lose motivation, and get some critical information from the material. This study aims to build a mobile-based learning application for Jaipong dance learning activities at the elementary school level using the User-Centered Design (UCD) method. The application evaluation involved fifteen public elementary school students in Ciamis, West Java. Participants were asked to answer a quantitative survey using the Quality Use Integrated Measurement (QUIM) instrument to discover their experience using the application during Jaipong dance lessons. The test results get an average score of 91%, included in the "excellent" category. These results were strengthened by the user's understanding of the Jaipong dance. As many as 86.7% of users who use the Jaipong dance learning application understand the material well. In contrast, only 33.3% of YouTube users understand the material well. This paper shows that the UCD method contributes to the design process according to the needs and characteristics of the user to design the user interface of the Jaipong dance learning application
Land Capability and Suitability Assessment for Reducing Risk Disaster in Small Island: The Case of Sulabesi Island, Indonesia
Full text linkSmall islands possess the main character, namely limited land resources; thus, their development must pay attention to the land's capability to support life. Sulabesi is one of the small islands located in the North Maluku Islands with a very low to very high level of land capability. As a small island and center of activity, it faces several problems, including population growth, land availability, and vulnerability to natural disasters. The study aimed to assess the suitability of land capability with land cover and disaster risk and provide direction for the development. Additionally, it employed an overlap analysis method using the ArcGIS 10.5 tool with spatial data, namely land capability and disaster risk, and land cover changes from Landsat 7 & 8 satellite imagery throughout 2000, 2010, and 2020. The research finding denoted that Sulabesi Island continues to experience changes in land cover, particularly the increase in built-up land for 20 years. These changes were then spread over the land capability of class A and class B development capability characteristics of 280.46 ha. Furthermore, the suitability between land capability and disaster risk areas was also observable in classes A, B, and C, with the risk of tsunamis, earthquakes, and landslides. Thus, efforts to manage sustainable land use, mainly built-up lands, must be directed at the capability of land with a very high - medium development classification and free from disaster risk. It can be a reference for future research in developing small islands that are more resilient
Improvement of a Code-Based Kartini Reactor Simulator for Education and Training
Full text linkA code-based Kartini reactor simulator was improved as a facility for the human resource development of a nuclear reactor. The simulator simulates the plant dynamics regarding a change of a control rod position. Reactor operation parameter calculations of the reactor power, coolant flow, and fuel temperatures adopt a one-channel method with assumptions of homogeneous radial power distribution and a cosine function of the axial power distribution. Point reactor kinetics, radial conduction heat transfer, and mass and energy conservation are the calculation code's governing equations. Reactivity feedback due to the coolant density and fuel temperature changes are considered. Reactor pressure is fixed at 1 atm due to an open pool-type research reactor. A graphical user interface was developed to operate the simulator. The operation results of the simulator show that the power calculation agrees well with the experimental data. An accident of excess reactivity due to a control ejection is assumed to happen, causing a positive reactivity insertion of 1.11$. However, the safety criterion of the cladding temperature is satisfied due to the negative reactivity feedback. Besides, early application of 3D virtual reality was carried out to provide an immersive interaction between the users and the virtual Kartini reactor plant. The further development of integrating both the virtual reality and the simulator in the recent Kartini reactor-based internet reactor laboratory is interesting to provide a facility with features of remote as well as immersive education and training
Quality Parameters of Soil Chemical Physics and Water Ecosystem in Indonesia
Full text linkThis research aimed to analyze the characteristics of coastal waters as well as the water and soil quality parameters using direct field observations or measurements and laboratory analysis. The results showed that the characteristics of the coastal waters include a 2.5 km coastline length in Tongke-Tongke Village, 1.2 average high tides, and 0-5 beach floor slope elevation degrees. The soil quality parameters include an average soil pH of 5.53, organic matter of 7.83 ppm, nitrogen of 0.19 ppm, phosphorus of 70.56 ppm, potassium of 220.80 ppm, the iron of 0.21 ppm, and soil texture of sandy mud with 45% dominated by watersheds, 40% by tides and waves, and 15% clay. Similarly, the water quality parameters include average water temperature at 29.780, 6.97pH, 30.40 ppt salinity, 4.06 ppm oxygen, 30.60 cm turbidity, and 0.87 ppm ammonia. The measurements and analysis of soil and water quality parameters were dynamic based on seasonal conditions. Therefore, the coastal waters of Tongke-Tongke Village were suitable as a research location due to the diverse flora and fauna. Meanwhile, for tourism, the sedimentation volume from the watershed and the sea should be minimized through tides and waves. Floating net cages and other marine cultivation also need further development as tourist attractions
A Novel Algorithm for Monitoring Field Data Collection Officers of Indonesia's Central Statistics Agency (BPS) Using Web-Based Digital Technology
Full text linkThis study focuses on the creation of a novel algorithm for monitoring field data collection activities by field data collection officers from Indonesia's Central Statistics Agency (BPS) using web-based digital technology. This study aims to check the accuracy and veracity of data collected by the BPS data collection officer. In this research, 200 respondents were collected by 10 data collection officers of Indonesia's Central Statistics Agency (BPS) and monitored by 5 supervisors’ officers from BPS. Then the Head of BPS supervises process monitoring at a certain regional BPS office. We propose a novel algorithm that can be used with web-based digital technologies. The algorithm is developed by comparing data from the BPS office in the form of three variables that are a list of names of respondents, a list of questioners for respondents, and the location (area) of respondents with data from the respondent's NIK (ID Number), answers to respondents' questions entered into the system, and the GPS location of field data collection officers detected by the web-based system. This research employed a novel algorithm on web-based digital technology, increasing the accuracy and veracity of collected data. The score value of the respondent's name variable is 92 percent, the respondent's answer to the questionnaire variable is 93 percent, and the respondent's location variable is 95 percent. The data was evaluated by all field data collection officers, supervisory officers, and the BPS head
Remote Heart Rate Estimation Using Attention-targeted Self-Supervised Learning Methods
Full text linkHeart rate measurement is a crucial factor for assessing the overall health status of an individual. Abnormal heart rates, whether lower or higher than baseline, can indicate potential pathological or physiological abnormalities. As a result, it is necessary to have reliable technology for monitoring heart rates in various fields, including medicine, biotechnology, and healthcare. With recent advancements in deep learning research, it is now possible to monitor heart rate conveniently and hygienically without specialized equipment, using facial video photo volume measurement. This new technology employs a deep learning-based video analysis method that requires a large data set to achieve high performance. However, collecting and labeling a vast amount of data is often impractical and costly. Therefore, researchers have been searching for alternative ways to achieve high performance with smaller datasets. This paper proposes a novel self-supervised learning approach suitable to the face video process. Our proposed method can effectively acquire a deep latent expression from a face image sequence and apply it to a target task through transfer learning. Using this method, we aim to improve the remote heart rate estimation performance in a limited-size dataset. Our proposed method is specialized for facial image sequences and focuses on the color change of the face to achieve high performance in existing attention-based deep learning models. The proposed self-supervised learning method has several advantages. First, it can learn useful features from unlabeled data, reducing the reliance on annotated datasets. Second, it can help overcome the problem of insufficient labeled data in specific domains, such as medical image analysis. Third, the proposed method can improve the performance of the target task using pre-trained models on different datasets. Finally, our approach improves the remote heart rate estimation performance by extracting useful features from facial images
Image Retrieval based on the Fusion of Graph Method with Color Moments, GLCM, and Hu Moments
Full text linkRetrieving images that are similar to the query image in the image database means determining the similarity between the images. This study aims to use a graph method with region adjacency graph representation in conjunction with a non-graph method in image retrieval. We represented an image as a graph and used the Graph Edit Distance (GED) method to calculate the similarity between two graphs. The feature extraction of the image graph, which exposes the content and the relationships between existing content, is a key step in image retrieval based on the graph method. The extraction of graph features is accomplished by the image segmentation method, which divides the image into regions and represents them as a region-adjacency graph (RAG), in which vertices represent regions and edges indicate two neighboring regions. Image retrieval based on the graph method is combined with low-level approaches like Color Moments, Gray Level Co-occurrence Matrix (GLCM), and Hu Moments to boost accuracy. All obtained features are normalized, weighted, and then compared between images to get the similarity value using Euclidean Distance. An image retrieval prototype based on the combined graph method and non-graph method was successfully created in this work, using four datasets: synthetic, batik, COIL-100, and Wang. The MAP of the four datasets is 67.84 percent, but when combined with the low-level feature approach, it rises to between 79.73 and 89.71 percent. The combination of graph and non-graph algorithms improves image retrieval outcomes
Effect of Borax on Very High Calcium Geopolymer Concrete
Full text linkThis study examined the effect of borax pentahydrate on alkali-activated very high-calcium fly ash (VHCF)-based geopolymer concrete. The VHCF obtained from the Pangkalan Susu power plant, Langkat, North Sumatra Indonesia had 25% CaO and was classified as C-class fly ash according to the new ASTM C618-19. It was activated using an alkali solution produced using Na2SiO3 and NaOH at a ratio of 1.5. Moreover, borax pentahydrate was used due to its high-calcium content, and the setting time, compressive strength, split tensile strength, and flexural strength were investigated. It was discovered from the results that the geopolymer paste had a flash final setting time. The findings showed that the initial setting time was 5 minutes while the final was 25 minutes. The addition of 12% borax pentahydrate was observed to have prolonged the setting time from 25 minutes to 80 minutes. Furthermore, the compressive strength of the concrete after 28 days was 50 MPa using NaOH 8 M and 2% borax pentahydrate while the split tensile strength was 4.7 MPa and the flexural strength was 4.53 MPa. This implies the borax pentahydrate is capable of acting as a retarder to prolong the setting time but has the ability to reduce the compressive, flexural, and split tensile strengths