Sendi Novianto, P. Andono, Cinantya Paramita, Lisdi Inu Kencana, Fauzi Adi Rafrastara
{"title":"Comparison of Acoustic Characteristic among Electronic, Human-Played and Robot-Played Demung","authors":"Sendi Novianto, P. Andono, Cinantya Paramita, Lisdi Inu Kencana, Fauzi Adi Rafrastara","doi":"10.1109/iSemantic55962.2022.9920410","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920410","url":null,"abstract":"Demung is a part of javanese gamelan and considered as a xylophone-type instrument. It has thick and heavy keys mounted on a low, wooden frame. Many researchers have studied about demung and its combination with technology. This research aims to analyze the acoustic characteristic of electronic and original demung which played by human and robot, by measuring the sound frequency. The experiments are devided into 3 scenarioes. The first scenario, we measure the sound frequency of demung which hit by human. The second scenario, another frequency is measured especially from the demung that hit by robot. Whereas the last scenario, we measure the frequency of demung that comes out from electronic file. According to the experiment, it yields a conclusion that even though the frequency is slightly different for each other, but the sound produced by those 3 scenarios are almost the same.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127689150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Raynaldi Bismantaka Barito, Muhammad Hafidh Sanjaya, Fajar Muhammad Arif, Naufal Humam, Pri Nugroho Aji, C. A. Sari, E. H. Rachmawanto, Suprayogi
{"title":"Landsat Image Classification Based on K-Nearest Neighbor","authors":"Raynaldi Bismantaka Barito, Muhammad Hafidh Sanjaya, Fajar Muhammad Arif, Naufal Humam, Pri Nugroho Aji, C. A. Sari, E. H. Rachmawanto, Suprayogi","doi":"10.1109/iSemantic55962.2022.9920385","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920385","url":null,"abstract":"Classification is the process of grouping classes and defining a class and determining the relationship between these classes. Landsat imagery with the distribution of residential areas and agricultural areas can be used to process information on the population density of a particular area. In this study, the classification process of residential images, factory images and rice fields images has been carried out with a total of 58 data. KNN was chosen as the classification algorithm considering the data used is quite simple and few. In this study, GLCM is used for feature extraction features, especially regarding image texture patterns. We have implemented values K=1 to k=11. The best accuracy value is obtained at k=1 which is 100%, while k=3, k=5 has obtained an accuracy of 96.15%. k=7 and k=9 can still be tolerated by getting 76.92% while at k=11 it only gets 57.69%.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121766446","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Fidiatus Sakinah, I. Ranggadara, Inna Sabily Karima, Suhendra Suhendra
{"title":"Spatio-Temporal Analysis Coastal Areas for Detection Mangrove Greenery Using Combined Mangrove Recognition Index","authors":"Fidiatus Sakinah, I. Ranggadara, Inna Sabily Karima, Suhendra Suhendra","doi":"10.1109/iSemantic55962.2022.9920392","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920392","url":null,"abstract":"Mangroves provide various purposes, including avoiding coastal erosion, acting as a water filter, and breeding grounds for marine animals. Mangrove forest areas have experienced a significant decline in crucial functions due to changes, such as the transition of forest areas into ponds, environmental pollution, and illegal logging. This research obtained data using Landsat 8 OLI imagery to detect Tanara Coast, Serang, Banten changes. Because of this problem, research was conducted using the extraction of the Combined Mangrove Recognition Index (CMRI) feature and the Support Vector Regressor (SVR) algorithm to measure what percentage of land changes occur in the mangrove forest area. The research took data from May 01 to August 01, 2019, with clipping as a preprocessing process. This research obtained the highest vegetation value of 0.974966, which means that from May 01 to August 01, mangrove forest vegetation is in good condition.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126345770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"AdaBoost Based C4.5 Accuracy Improvement on Credit Customer Classification","authors":"Munif Ma’arij Kholil, F. Alzami, M. A. Soeleman","doi":"10.1109/iSemantic55962.2022.9920463","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920463","url":null,"abstract":"Credit has become commonplace in today's society. Many people choose to take credit to support their economy, both for business capital and other activities. In order to produce the right decision, credit recipient customers can be classified according to their possible payment performance. The research was conducted to improve the accuracy of the Decision Tree C.45 algorithm by using Adaboosting in classifying credit customers, to get the most optimal accuracy in terms of credit customer classification. With AdaBoost improvement, the accuracy of the c4.5 algorithm was significantly improved from 45.38% to 100% and has a much higher accuracy rate when compared to naive bayes which has been improved as well as a comparison.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127071374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Detection Performance Using Range Dependent SINR for Planar-PMIMO Radar","authors":"Syahfrizal Tahcfulloh","doi":"10.1109/iSemantic55962.2022.9920465","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920465","url":null,"abstract":"Multi-antenna radars with overlapping subarray transmit methods known as phased-MIMO (PMIMO) provide many advantages over conventional radars such as phased-array and MIMO radars, i.e. having high flexibility to adjust the beamwidth and beampattern of the entire array generated by each subarray as well as at the same time allows the generation of multiple beams through orthogonal waveforms. In addition, with the planar array configuration when compared to the linear array configuration, transmit-receive (Tx-Rx) gain, signal to interference plus noise ratio (SINR), parameter estimation, detection performance, etc. will drastically increase. So far, the detection performance of the radar has been studied in the form of detection probability and false alarm probability based on signal to noise ratio (SNR). In this paper, we have formulated, evaluated, and investigated the detection performance of planar-PMIMO radar based on the range dependent SINR which was then compared with the performance of traditional multi-antenna radars based on the effect of SINR and the number of subarrays in Tx. The evaluation results show that the planar-PMIMO radar is more flexible due to the variation of its subarrays compared to conventional radars that already exist to be able to detect targets in various target environmental conditions.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131392820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andri Dayarana Kristanta Silalahi, Lin Sheng Ling, Wen-Kuo Chen, Ixora Javanisa Eunike, Pantas H. Silaban, Widya Elisabeth Hutagalung
{"title":"Exploring Consumer Intention to Visit a Destination and eWOM through Uses and Gratification Perspective: Evidence from YouTube Travel Vlogs","authors":"Andri Dayarana Kristanta Silalahi, Lin Sheng Ling, Wen-Kuo Chen, Ixora Javanisa Eunike, Pantas H. Silaban, Widya Elisabeth Hutagalung","doi":"10.1109/iSemantic55962.2022.9920471","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920471","url":null,"abstract":"Consumers are motivated to utilize certain media in order to meet their needs. Drawing on the uses and gratification (U&G) perspective, this study aims to investigate how information seeking and entertainment factors influence consumer motivations to watch travel videos on YouTube. By investigating why consumers watch travel vlogs on YouTube, this study also investigates its emotional impact on customer engagement. Thus, it is assumed that when consumers are emotionally engaged, they will be more likely to visit destinations and share eWOM. This hypothesis was tested on 300 respondents who had experience traveling and distributing travel vlogs via social media. Using Smart-PLS 3.0 software, a structural equation modeling approach was used to test the research hypothesis. The results of hypothesis testing suggest that entertainment plays a significant role in forming emotional engagement, whereas information seeking plays a lesser role. From a U&G perspective, to travel vlogs on YouTube, it is evident that consumers who seek entertainment are the most emotionally engaged. Furthermore, the results also reveal that when consumers feel emotionally engaged with video travel vlogs on YouTube, they are strongly motivated to visit the destination and share eWOM through social media. As a result, it can be seen that emotional engagement is a crucial factor in the behavior of intent to visit and eWOM for destinations. A number of theoretical and practical implications are also discussed.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134072223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prediction of hourly solar radiation in Indonesia using LSTM","authors":"Dian Puspa Sari, A. Zainul Fanani, G. F. Shidik","doi":"10.1109/iSemantic55962.2022.9920429","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920429","url":null,"abstract":"The value of solar radiation has many advantages to support optimal utilization of solar energy, from building design, solar power plant and agricultural system. However, solar radiation is an element that will affect to other weather parameters. Forecasting systems that have been carried out by previous researchers are predictions for data per-hour, per-day, per-month and even per-year. All forecasting processes are carried out using different multivariate meteorological parameters. Fluctuations in solar radiation can occur due to data errors or moving fast of clouds. In this study, we are using meteorological parameter: solar radiation, sun duration, relative humidity, dew point, air temperature, and sky cover. All these parameters will be used to predict hourly solar radiation. Long short-term memory (LSTM) is proposed in our works to discover best activation: ReLU, sigmoid, tanh. As a result, RELU is best activation which has the smallest Mean Square Error (MSE) value is 0.1885, compared with other activation value: sigmoid MSE value is 0.2359 and tanh MSE value is 0.3270. By using ReLU, the wall time is 1min 51s and calculation process stops in 18th epoch. Optimum learning rate become 0.00249 and wall time 1min 38s. The output prediction is hourly solar radiation one-day ahead that we can used as a data solar radiation information.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134502743","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Edbert Felix Fangasadha, Steffi Soeroredjo, Anderies, A. A. Gunawan
{"title":"Literature Review of OpenAI Five’s Mechanisms in Dota 2’s Bot Player","authors":"Edbert Felix Fangasadha, Steffi Soeroredjo, Anderies, A. A. Gunawan","doi":"10.1109/iSemantic55962.2022.9920480","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920480","url":null,"abstract":"Multiplayer Online Battle Arena (MOBA) games, such as Dota 2, present significant problems to AI systems, such as multi-agent, massive state-action space, and sophisticated action control. Those problems will become increasingly important in the development of more powerful AI systems. OpenAI Five has demonstrated that DRL (Deep Reinforcement Learning) agents can be trained to achieve superhuman competence in matches that involve thousands of steps before reaching the end goal without the need of explicit hierarchical macro-actions. These DRL agents, in general, receive high-dimensional inputs at each step and act on deep-neural-network-based policies updated by the learning mechanism to maximize the return in an end-to-end manner. This paper investigates the approaches employed by OpenAI Five to gradually acquire knowledge during training: (1) using surgeries to solve the problem of game renewals, (2) using hyperparameters instead of ordinary parameters since they cannot be processed, (3) making decisions using policies in addition to macro strategies. Finally, how the agents in the game receive and respond to observations and actions happening in each match is included, as an addition to explanations of the dense reward function for multiple agent cooperation created using the zero-sum technique.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131020820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Development of a Virtual Reality System Based Cycling Training for Health Promotion of Individuals Post-Stroke","authors":"I. P. Dody Lesmana, B. Widiawan, A. Suryana","doi":"10.1109/iSemantic55962.2022.9920389","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920389","url":null,"abstract":"The objective of this paper is to develop and test the feasibility of a virtual reality system-based cycling that enables individuals post-stroke with lower extremity impairments to train balance, gait, and cardiorespiratory fitness that enhance possible transfer of training from virtual environment to real world walking. The bicycle is equipped with mechatronic components with sensors for acquiring walking kinematics and physiological parameters to monitor training safety while running serious games in a virtual cycling environment with 3D visual, audible and haptic feedback. The mechatronic components of pedal allow user to determine balance on both feet and range of motion of both ankles to detect tilt in the dorsal and plantar flexion. Novel cadence components embedded with close loop control method accommodates differences in lower extremity impairments. The control box is used to collect data from sensors on both pedals, pedal revolutions, and heart-rate, which are processed and transmitted to the computer. Moreover, a software system allows user to manipulate virtual environment and change the perception of how fast user’s movement in virtual environment. From the results of the preliminary test of the prototype on two healthy control participants during 4-week cycling training, it is found that use of the prototype is safe, feasible, and efficacious for post-stroke training and improving aerobic capacity and walking endurance.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124437040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Prasetyaningtyas, Abdul Rohman, Minaldi Loeis, Samuel Mahatmaputra, Michael Siek
{"title":"The Adoption Model of People Analytics in Higher Education: A Soft System Approach","authors":"S. Prasetyaningtyas, Abdul Rohman, Minaldi Loeis, Samuel Mahatmaputra, Michael Siek","doi":"10.1109/iSemantic55962.2022.9920427","DOIUrl":"https://doi.org/10.1109/iSemantic55962.2022.9920427","url":null,"abstract":"The Adoption of the People Analytics process, especially in higher education, is highly complex and should be understood by scholars. We use seven stages of soft systems methodology to contribute to a deeper understanding of The Adoption of the People Analytics process, especially in higher education as a policy issue. The research was done in one of Indonesia's most prominent private universities. The method used was an exploratory study. In-depth interviews were done to gather data. The main interviewees were all stakeholders (H.R. Director, Business Incubator Director, Research Manager, and more) related to the process. The outcomes showed the actors involved and the obstacles experienced by the actors in transforming the existing condition into the analytics one. The paper proposed a people analytics adoption model in higher education using the soft system approach. The research limitation was due to the limited research object used, so broader research using this approach is urgent to understand the model.","PeriodicalId":360042,"journal":{"name":"2022 International Seminar on Application for Technology of Information and Communication (iSemantic)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114918736","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}