Pub Date : 2020-02-02DOI: 10.24167/SISFORMA.V6I2.2402
Kristiawan Nugroho
Speech is a means of communication between people throughout the world. At present research in the field of speech recognition continues to develop in producing a robust method in various research variants. However decreasing the word error rate or reducing noise is still a problem that is still being investigated until now. The purpose of this study is to find the right method with high accuracy to classify the gender voices of Javanese. This research used a human voice dataset of both men and women from the Javanese tribe which was recorded and then processed using a noise reduction preprocessing technique with the MFCC extraction feature method and then classified using 2 machine learning methods, namely Random Forest and Neural Network. Evaluation results indicate that the classification of Javanese accent speech accents results in an accuracy rate of 91.3 % using Random Forest and 9 2 . 2 % using Neural Network.
{"title":"Javanese Gender Speech Recognition Based on Machine Learning Using Random Forest and Neural Network","authors":"Kristiawan Nugroho","doi":"10.24167/SISFORMA.V6I2.2402","DOIUrl":"https://doi.org/10.24167/SISFORMA.V6I2.2402","url":null,"abstract":"Speech is a means of communication between people throughout the world. At present research in the field of speech recognition continues to develop in producing a robust method in various research variants. However decreasing the word error rate or reducing noise is still a problem that is still being investigated until now. The purpose of this study is to find the right method with high accuracy to classify the gender voices of Javanese. This research used a human voice dataset of both men and women from the Javanese tribe which was recorded and then processed using a noise reduction preprocessing technique with the MFCC extraction feature method and then classified using 2 machine learning methods, namely Random Forest and Neural Network. Evaluation results indicate that the classification of Javanese accent speech accents results in an accuracy rate of 91.3 % using Random Forest and 9 2 . 2 % using Neural Network.","PeriodicalId":42112,"journal":{"name":"African Journal of Information Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77828901","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}
Pub Date : 2020-02-02DOI: 10.24167/SISFORMA.V6I2.1436
Hanna Mulianawati, Ridwan Sanjaya, Fx. Hendra Prasetya
Sometimes it’s hard for the university to get the information about their own alumni after the graduation ceremony. The situation of the alumni is also the same. They felt difficult to reach their university after they got a job. Some services and documents are still needed by the alumni for any reason. In fact, people nowadays live with their smartphone really closely. The smartphone could help people to get information and services while keeping them close to their community. The mobile application should be built to connect alumni and university through a smartphone via information sharing about job vacancy and providing some university’s services. Some methods are used in the process of mobile application development, such as designing the application, programming, testing, and launching. Interview and survey are done to know the responses in using the application. The conclusions of the research are the application could help the alumni to get information and services, the university is able to gain the updated data of their alumni, and make both of them closer.
{"title":"An Application for Alumni of Soegijapranata Catholic University","authors":"Hanna Mulianawati, Ridwan Sanjaya, Fx. Hendra Prasetya","doi":"10.24167/SISFORMA.V6I2.1436","DOIUrl":"https://doi.org/10.24167/SISFORMA.V6I2.1436","url":null,"abstract":"Sometimes it’s hard for the university to get the information about their own alumni after the graduation ceremony. The situation of the alumni is also the same. They felt difficult to reach their university after they got a job. Some services and documents are still needed by the alumni for any reason. In fact, people nowadays live with their smartphone really closely. The smartphone could help people to get information and services while keeping them close to their community. The mobile application should be built to connect alumni and university through a smartphone via information sharing about job vacancy and providing some university’s services. Some methods are used in the process of mobile application development, such as designing the application, programming, testing, and launching. Interview and survey are done to know the responses in using the application. The conclusions of the research are the application could help the alumni to get information and services, the university is able to gain the updated data of their alumni, and make both of them closer.","PeriodicalId":42112,"journal":{"name":"African Journal of Information Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78986400","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}
Pub Date : 2020-02-02DOI: 10.24167/SISFORMA.V6I2.2240
Latifah Diah Kumalasari, A. Susanto
Students who are graduated from Informatics Engineering have wide employment opportunities in the information technology work field, such as database administrator, data scientist, UI designer, IT project manager, network engineer, system analyst, software engineer and UX designer. Each job in I nformation T echnology field has different skill requirement for the interest of work field. Therefore, IT skill classification is needed to find out the suitable career recommendation for Informatics Engineering students. Data from IT professionals which are obtained from LinkedIn account of IT professionals will be processed as reference for students. Data are processed using K-Means Clustering algorithm to find out how is feasible IT professionals data are used as a reference. Then, Collaborative Filtering method by the K-NN algorithm is used to determine classification based on the proximity between student skills and information technology job field. The output is recommendation of information technology job field which are generated from calculate of IT student skills. Result has been tested by testing one of user that has been labeled software engineer produce a recommendation output as a software engineer.
{"title":"Recommendation System of Information Technology Jobs using Collaborative Filtering Method Based on LinkedIn Skills Endorsement","authors":"Latifah Diah Kumalasari, A. Susanto","doi":"10.24167/SISFORMA.V6I2.2240","DOIUrl":"https://doi.org/10.24167/SISFORMA.V6I2.2240","url":null,"abstract":"Students who are graduated from Informatics Engineering have wide employment opportunities in the information technology work field, such as database administrator, data scientist, UI designer, IT project manager, network engineer, system analyst, software engineer and UX designer. Each job in I nformation T echnology field has different skill requirement for the interest of work field. Therefore, IT skill classification is needed to find out the suitable career recommendation for Informatics Engineering students. Data from IT professionals which are obtained from LinkedIn account of IT professionals will be processed as reference for students. Data are processed using K-Means Clustering algorithm to find out how is feasible IT professionals data are used as a reference. Then, Collaborative Filtering method by the K-NN algorithm is used to determine classification based on the proximity between student skills and information technology job field. The output is recommendation of information technology job field which are generated from calculate of IT student skills. Result has been tested by testing one of user that has been labeled software engineer produce a recommendation output as a software engineer.","PeriodicalId":42112,"journal":{"name":"African Journal of Information Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80462997","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}
Pub Date : 2020-02-02DOI: 10.24167/SISFORMA.V6I2.2468
Wen-Fu Pan, A. Subarno, Mei-Ying Chien, Ching-Dar Lin
Human motion has multifarious meanings that can be recognized using a facial detection machine. This article aims to explore body motion recognition to explain the relationship between students’ motions and their achievement, as well as teachers’ responses to students’ motions, and especially to negative ones. Students’ motions can be identified according to three categories; facial expression, hand gestures, and body position and movement. Facial expression covers four categories, namely, contempt, fear, happiness, and sadness. Contempt is used to express conflicted feelings, fear to express unpleasantness, happiness to express satisfaction, and sadness to express that the environment is uncomfortable. Hand gestures can likewise be grouped into four categories: conversational gestures, controlling gestures, manipulative gestures, and communicative gestures. Conversational gestures refer to communicative gestures. Controlling gestures refer to vision-based interface communications, like the ones popular in current technology. Manipulative gestures refer to ones used in human interaction with virtual objects. Communicative gestures relate to human interaction, and therefore involve the field of psychology. Body position and movement also can be classified into four categories, namely: leaning forward, leaning backward, correct posture, and physical relocation. Leaning forward happens when a user is working with a high level of concentration. Leaning backward occurs when a user has been highly concentrated on work for several hours, and needs a break or change. Correct posture is the sign of an enjoyable working position which involves sitting in a free and relaxed manner. Movement refers to a change to the student’s sitting location, reflecting some inadequacy of the learning environment. Teachers can anticipate changes of students’ emotions by good learning design, teaching metacognitive skills, self-regulated performance, exploratory talks, mastery approach/avoidance, using hybrid learning environments, and controlling space within classrooms. Teachers’ responses to students’ motions will be explored in this article
{"title":"Motion Recognition and Students’ Achievement","authors":"Wen-Fu Pan, A. Subarno, Mei-Ying Chien, Ching-Dar Lin","doi":"10.24167/SISFORMA.V6I2.2468","DOIUrl":"https://doi.org/10.24167/SISFORMA.V6I2.2468","url":null,"abstract":"Human motion has multifarious meanings that can be recognized using a facial detection machine. This article aims to explore body motion recognition to explain the relationship between students’ motions and their achievement, as well as teachers’ responses to students’ motions, and especially to negative ones. Students’ motions can be identified according to three categories; facial expression, hand gestures, and body position and movement. Facial expression covers four categories, namely, contempt, fear, happiness, and sadness. Contempt is used to express conflicted feelings, fear to express unpleasantness, happiness to express satisfaction, and sadness to express that the environment is uncomfortable. Hand gestures can likewise be grouped into four categories: conversational gestures, controlling gestures, manipulative gestures, and communicative gestures. Conversational gestures refer to communicative gestures. Controlling gestures refer to vision-based interface communications, like the ones popular in current technology. Manipulative gestures refer to ones used in human interaction with virtual objects. Communicative gestures relate to human interaction, and therefore involve the field of psychology. Body position and movement also can be classified into four categories, namely: leaning forward, leaning backward, correct posture, and physical relocation. Leaning forward happens when a user is working with a high level of concentration. Leaning backward occurs when a user has been highly concentrated on work for several hours, and needs a break or change. Correct posture is the sign of an enjoyable working position which involves sitting in a free and relaxed manner. Movement refers to a change to the student’s sitting location, reflecting some inadequacy of the learning environment. Teachers can anticipate changes of students’ emotions by good learning design, teaching metacognitive skills, self-regulated performance, exploratory talks, mastery approach/avoidance, using hybrid learning environments, and controlling space within classrooms. Teachers’ responses to students’ motions will be explored in this article","PeriodicalId":42112,"journal":{"name":"African Journal of Information Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87123198","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}
Pub Date : 2020-02-02DOI: 10.24167/SISFORMA.V6I2.2313
Norbertus Tri Suswanto Saptadi, P. Chyan, A. Pratama
IT Governance has provided hope in human life, especially waste management and environmental cleanliness services. The role of IT becomes very important when people want services that are fast, accurate and relevant. Technology using Geographic Information Systems (GIS) has provided opportunities and made it possible to interact easily . The purpose of this research is to provide a GIS for the city environmental and sanitation services in order to provide good services in creating a clean environment. The research method uses the system analysis method with a spiral model approach in system design. The results of the design of GIS have been able to improve the performance of waste management in the city of Makassar.
{"title":"Analysis and Design of Waste Management System Using the Spiral Model Towards Smart Cities","authors":"Norbertus Tri Suswanto Saptadi, P. Chyan, A. Pratama","doi":"10.24167/SISFORMA.V6I2.2313","DOIUrl":"https://doi.org/10.24167/SISFORMA.V6I2.2313","url":null,"abstract":"IT Governance has provided hope in human life, especially waste management and environmental cleanliness services. The role of IT becomes very important when people want services that are fast, accurate and relevant. Technology using Geographic Information Systems (GIS) has provided opportunities and made it possible to interact easily . The purpose of this research is to provide a GIS for the city environmental and sanitation services in order to provide good services in creating a clean environment. The research method uses the system analysis method with a spiral model approach in system design. The results of the design of GIS have been able to improve the performance of waste management in the city of Makassar.","PeriodicalId":42112,"journal":{"name":"African Journal of Information Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76881152","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}
Pub Date : 2020-01-01DOI: 10.5859/KAIS.2020.29.3.145
Eunmi Kim, Taeho Hong
{"title":"The Efficiency Rating Prediction for Cultural Tourism Festival Based of DEA","authors":"Eunmi Kim, Taeho Hong","doi":"10.5859/KAIS.2020.29.3.145","DOIUrl":"https://doi.org/10.5859/KAIS.2020.29.3.145","url":null,"abstract":"","PeriodicalId":42112,"journal":{"name":"African Journal of Information Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80642611","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}
Pub Date : 2020-01-01DOI: 10.5859/KAIS.2020.29.3.197
Sangmin Choi, Taesoo Moon
{"title":"Influence of Product Development Competence and IT Competence on NPD Performance through Convergence Capabilities","authors":"Sangmin Choi, Taesoo Moon","doi":"10.5859/KAIS.2020.29.3.197","DOIUrl":"https://doi.org/10.5859/KAIS.2020.29.3.197","url":null,"abstract":"","PeriodicalId":42112,"journal":{"name":"African Journal of Information Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86088604","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}
Pub Date : 2020-01-01DOI: 10.5859/KAIS.2020.29.3.53
Ji-hyeon Lee, Hanku Kim
{"title":"The Effects of MMORPG User's Stress Coping Strategies on Continued Use Intention Through Self-Control and Behavioral Adaptation","authors":"Ji-hyeon Lee, Hanku Kim","doi":"10.5859/KAIS.2020.29.3.53","DOIUrl":"https://doi.org/10.5859/KAIS.2020.29.3.53","url":null,"abstract":"","PeriodicalId":42112,"journal":{"name":"African Journal of Information Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79472648","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}
Pub Date : 2020-01-01DOI: 10.5859/KAIS.2020.29.1.75
Chung YongJoo
{"title":"Multi-alternative Retrofit Modelling and its Application to Korean Generation Capacity Expansion Planning","authors":"Chung YongJoo","doi":"10.5859/KAIS.2020.29.1.75","DOIUrl":"https://doi.org/10.5859/KAIS.2020.29.1.75","url":null,"abstract":"","PeriodicalId":42112,"journal":{"name":"African Journal of Information Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78781274","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}
Pub Date : 2020-01-01DOI: 10.5859/KAIS.2020.29.3.179
Jae-Jung Kang
{"title":"Work and Life Balance in teleworking Environment - Application of CLD, TP, and TRIZ -","authors":"Jae-Jung Kang","doi":"10.5859/KAIS.2020.29.3.179","DOIUrl":"https://doi.org/10.5859/KAIS.2020.29.3.179","url":null,"abstract":"","PeriodicalId":42112,"journal":{"name":"African Journal of Information Systems","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72411275","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}
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