George Morris William Tangka, Andrew Tanny Liem, Joe Yuan Mambu
{"title":"Information Technology Governance Audit Using the COBIT 5 Framework at XYZ University","authors":"George Morris William Tangka, Andrew Tanny Liem, Joe Yuan Mambu","doi":"10.1109/ICORIS50180.2020.9320803","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320803","url":null,"abstract":"Information Technology (IT) governance is a collection of processes that aim to ensure the suitability of IT implementation with its support for achieving organizational goals. Good IT governance can help support the organization's success in achieving its goals. To find out the extent to which IT governance is implemented, IT governance needs to be audited. In its development, IT has been applied in various places, one of which is the University. IT implemented in the University is a concept that answers the needs of the organization to guarantee the return of invested IT. Without IT governance, it can be a waste of IT investment done. XYZ University is one of several universities that have implemented IT to support data services and management. The implementation of IT at XYZ university has never been audited. The purpose of this study was to conduct an audit of the IT governance that was implemented. IT governance audit is carried out based on the COBIT 5 framework. This research uses a descriptive method. Based on the results obtained from the analysis carried out, IT governance at XYZ university is still at the level of capability level 0 - Incomplete Process with the acquisition of capability values averaging 0.5. Researchers provide advice for the University to improve IT governance that has been implemented so that in the future it can achieve a higher level of capability.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133696210","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}
Firstyani Imannisa Rahma, Rizki Mawan, H. Harianto, Kusrini
{"title":"Nutrition and Lifestyle Recommendations for Patients Recovering from Covid-19 in Nusa Tenggara Barat Province","authors":"Firstyani Imannisa Rahma, Rizki Mawan, H. Harianto, Kusrini","doi":"10.1109/ICORIS50180.2020.9320829","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320829","url":null,"abstract":"Providing nutrition for COVID-19 patients is one of many actions to reduce the risk due to symptoms of COVID-19. To help meet the nutritional needs of COVID-19 cured patients, we developed a nutritional needs recommendation system and predicted nutritional needs for COVID-19 recovered patients in West Nusa Tenggara, Indonesia with Technique for the Order of Preference by Similarity to Ideal Solution method (TOPSIS). We use data from COVID-19 Task Force in this province along with The Indonesian Dietary Recommendations to help decide which nutrition is needed by recovered patients. The criteria used in the prototype of this system are Age Group weight 3, Vegetable Consumption weight 4, Fat Consumption weight 4, Salt & Sugar Consumption weight 2, and Sports weight 3. After cranking the two patterns used, the Pattern Preference value is obtained 1 = 0.34980639174099 and Pattern 2 = 0.65019360825901 so that the highest preference value that can be used as a recommendation is Pattern 2 with a preference value of 0.65019360825901.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134457015","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":"Classifying User Personality Based on Media Social Posts Using Support Vector Machine Algorithm Based on DISC Approach","authors":"Anggit Dwi Hartanto, Ema Utami, Sumarni Adi, Suwanto Raharjo, Mochammad Yusa, Aji Kamaludin","doi":"10.1109/ICORIS50180.2020.9320760","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320760","url":null,"abstract":"Twitter is one of the largest social media with 326 million active users in January 2019. Indonesia emerged as one of the largest countries in terms of Twitter users. Every day more than millions of tweets are published by Twitter users. This study tries to analyze Tweets to get the personalities from chosen Twitter accounts by using the DISC character approach. The classification algorithm that will be used is Support Vector Machine (SVM) with Term Frequency-Inverse Document Frequency (TF-IDF) weighting on the dataset. This research starts with preprocessing stages such as Data Cleansing and Case Folding. We involved psychologists to validate the personality approach of 109 Twitter accounts to determine each Twitter user character. The character classification results used in this study are Dominance, Influence, Steadiness, Compliance (DISC). From 109 Twitter accounts, we considered as the final dataset, we obtain an accuracy of 36.37%, average precision of 23.11%, and average recall performance of 35.25%.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132637007","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":"Application of Mathematical Software on Problem Based Learning Model for the Mathematical Conceptual Understanding","authors":"Deviana, I. N. Bagus Pramartha","doi":"10.1109/ICORIS50180.2020.9320830","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320830","url":null,"abstract":"the purpose of this research to determine whether the understanding of mathematical concepts of students who take part in learning the use of mathematical software in problem based learning models is better than understanding the mathematical concepts of students who take conventional learning. In this study, the type of research used is quasi-experimental research design is the Post Test Only Control Group Design. The population of this research is senior high school students. The sample of this study was 2 classes taken using random sampling technique. Data in this study are the understanding of mathematical concepts collected using the description test. The research data were then analyzed using one-tailed t-test with a significance level of 5%. The results showed that t-count = 2.9 and t-table = 1.7 so that the value t-count> was obtained was obtained based on that H0 was rejected. This means that the understanding of mathematical concepts of students who follow the use of mathematical software in the problem based learning model is better than understanding the mathematical concepts of students who follow conventional learning. In other words there is a positive influence of the use of mathematical software in the problem based learning model of understanding students' mathematical concepts.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126799067","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":"The Effect of Social Media Effectiveness on MSMEs Marketing","authors":"Fahmi Ajismanto, Andika Widyanto","doi":"10.1109/ICORIS50180.2020.9320836","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320836","url":null,"abstract":"This study was conducted to assess and compare the effectiveness of small and medium-sized food enterprise (MSMEs) advertisements in Palembang on advertising services on Youtube, Facebook, and Instagram. This assessment and comparison is carried out to determine the extent of the effectiveness of advertising promotions and to find out which social media has the highest level of effectiveness in advertising services. Using random sampling, it was found that 60 research samples looked at Micro Small Medium Enterprises (MSMEs) promotional advertising services on Youtube, Facebook, and Instagram. The research stages started from testing the reliability and validity of the questionnaire, determining the scale range of the study in assessing the effectiveness, tabulating the data by looking for the average value of each dimension in the empathy, persuasion, interest, and communication (EPIC) model, then calculating the EPIC rate to determine the effectiveness value of advertisements promoted on social media. The result is that advertisements on the three social media are very effective, seen from the EPIC rate which is on a very effective scale range. EPIC rate for Instagram is 3.3, Facebook is 3.26, and Youtube is 3.28. The highest EPIC rate of 3.3 on Instagram means that Instagram is more effective than Youtube, which is in second place, and the last is Facebook. MSMEs in Palembang are right to choose these three social media as promotional media.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129006648","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}
L. Gumilar, Mokhammad Sholeh, S. N. Rumokoy, Dezetty Monika
{"title":"Influence of Four Types Wind Turbine Power Plants as Distributed Generation to Charging Electrical Vehicle Batteries on Electrical Power System","authors":"L. Gumilar, Mokhammad Sholeh, S. N. Rumokoy, Dezetty Monika","doi":"10.1109/ICORIS50180.2020.9320837","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320837","url":null,"abstract":"Main advantage of electric vehicles (EV) compared to vehicles using fossil fuels is that does not produce air pollution. One day the existence of conventional vehicles will be replaced by EV. EV gets electricity supply from batteries. When using EV, one day the electrical energy in the batteries will run out. To recharge batteries, important components such as the Electrical Vehicle Charger (EVC) are needed. EVC provides the impact of voltage drop on the electric power system bus during the charging process. This voltage drop caused by the power supply from generators cannot meet the needs of loads, including chargers and batteries. To maintain the voltage so it remains at its safe operating voltage, the same bus with EVC is interconnected with renewable energy sources. Renewable energy sources used in this study are four types of wind turbine power plants. Safe range of operating voltage in this research from 95% to 105%. This paper analyzes the change in voltage in the electric power system when the wind power plant fills EVC. The research methods section uses several scenarios. The aim is to determine the effect of each type of wind power plant on the bus voltage and EVC. Simulation results show that scenario 3 has the best results than the other scenarios. In scenario 3, voltage in bus 12 is 98,08%, voltage in bus 13 is 98,66%, and voltage in bus 14 is 98,42%. All three buses in safe limits of the operating voltage.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133551735","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":"Learning Tenses With Multimedia For Junior High School Students","authors":"Shofwan Hanief, Ni Nyoman Supuwiningsih","doi":"10.1109/ICORIS50180.2020.9320754","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320754","url":null,"abstract":"Communication is a process of interaction carried out by two or many people using language devices, which aim to interact with each other and get useful information for that person. Language is an intermediary medium in communicating directly or indirectly so that the information conveyed can be accepted and understood by the recipient. There are many languages around the world, with each country having a variety of languages. In the international world, it has been agreed that English is recognized as an international language for people who have different mother tongues, where English is used when communicating in business, political and educational matters between different countries. English is one of the subjects taught at various levels of schools in Indonesia, especially at the junior high school level. In this study, a multimedia application will be built for learning English using the MDLC (Multimedia Development Life Cycle) method. The result of this research is a multimedia application for learning English tenses at the junior high school level using the android mobile application technology.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"39 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131712417","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":"Hyperion : A Simulation of High Places in the Form of Virtual Reality for Acrophobia Sufferers","authors":"O. Lengkong, Jebriella Bororing","doi":"10.1109/ICORIS50180.2020.9320824","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320824","url":null,"abstract":"Acrophobia is the generally high common phobia. This phobia can make activity and the person's lifestyle limited because the person is avoiding high places. Acrophobia can be overcome by the centrifugal therapy method, which is the person who had this phobia is involved in the situation that triggers this phobia step by step. In virtual reality format and the sound effect, VR can simulate like in the high places in virtual. Scientists used virtual reality technology to make an application that can visualize high places' conditions through option mode. The purpose of making this application is to reduce Acrophobia by using virtual reality technology. The simulation of this research is served by showing a virtual environment of high places by using an accelerometer and gyroscope on a smartphone to interact with the social environment. The method used in this research is the prototyping model—Adobe photoshop to make application interface and game engine unity as an authoring tool to build the application. As a result of this research, the user can train by itself or with a therapist using the smartphone android and VR headset application.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132095006","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":"The Utilization of Gaussian Filter Method on Voice Record Frequency Noise","authors":"Al-Khowarizmi, H. Maulana","doi":"10.1109/ICORIS50180.2020.9320753","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320753","url":null,"abstract":"Voice is one of the ubiquitous media and is commonly used as communication by humans with the hope that it must reach the destination clearly and can be understood by those who receive the voice, but cannot support the delivery of voice information, because in sending information on the sound provided by the noise speaking the arrival of sound. One solves the problem of sound signals disturbed by noise, which can be facilitated by digital filters. The Gaussian method is the best method for eliminating noise in the image developed so that the gaussian method needs to be done to improve the noise in the sound to issue a clean sound signal from noise and increase the noise that has been eliminated. This study uses the Gaussian filter method to filter noise in the sound record. The implementation is divided into two (2) steps to filter on the frequency consisting of images and the second to do with voice recording, in carrying out the filtering on the frequency of the sound that is considered noise. In filtering the Gaussian method to eliminate the noise of the sound record, the current process is combined with obtaining a dynamic range, and peak factor with parameters attack time = 0.01, release time = 0.01, hold time = 0.05, lower limit = 0.0005, and threshold of silence = 0.25. Apart from the results in this paper, the dynamic range and crest factors in the filtering parameters require a very long process, and an optimal method of repair is needed.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127442149","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":"Apps Rating Classification on Play Store Using Gradient Boost Algorithm","authors":"O. Lengkong, Rodney Maringka","doi":"10.1109/ICORIS50180.2020.9320756","DOIUrl":"https://doi.org/10.1109/ICORIS50180.2020.9320756","url":null,"abstract":"The increasing number of Android apps available on Google Play Store with the developers' advantages has attracted many Android apps developers' attention. To benefit from developing Android apps is to know the characteristics of high rated applications on the Google Play Store. This research will explore the features of Size, installs, reviews, types (free/paid), rating, Category, content rating, and Price on apps on Google Play Store to determine the characteristics of high rated apps. This research uses a random-forest classifier to identify the most significant features in high rated apps on Google Play Store. This research uses the Gradient Boost Algorithm to identify the most influential attributes in high rating apps on Google Play Store. To classify the high rated apps, writers use the Gradient Boost algorithm that performs better than Random Forest, K-NN, and Decision Tree algorithm with a 99.93% accuracy, 99.91% recall, 99.91% precision, and 0.062 Root Mean Squared Error.","PeriodicalId":280589,"journal":{"name":"2020 2nd International Conference on Cybernetics and Intelligent System (ICORIS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129438709","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}