Pub Date : 2016-06-01DOI: 10.21512/COMTECH.V7I2.2242
Gunaran Danny, K. Y. Nasus, Josep P. F Napitupulu, A. Makmur
As time passes, flood often occurs in the area of Gunung Sahari, Jakarta Utara. The flood damages concrete asphalt mixture and it needs particular improvement. Therefore, the purpose of this research is to know the effects of the added combination of limestone and calcium hydroxide on concrete asphalt mixture as a filler resistant to flood. Concrete asphalt mixture that filled with the combination of limestone and calcium hydroxide is a mixture that is made with non-uniform aggregat gradations, filler and liquid asphalt mixed and solidified in a heat state. Limestone and calcium hydroxide mixture is used because both materials included in the most numerous sedimentary rock. Concrete asphalt mixture with the filler combination of limestone and calcium hydroxide is made with optimum asphalt 5.4%, one variation level of limestone (15%), and calcium hydroxide (15%), and three variation levels of fillers (5%, 7.5%, and 15%) to get optimum asphalt levels and filler levels that are compatible with flood condition. Based on optimum asphalt 5.4% towards aggregate total weight and combined level of limestone and calcium hydroxide suitable for the conditions, 8.75 % towards fine aggregate weight. The characteristic value of limestone and calcium hydroxide mixture in maximum condition is VIM 4.55%, VMA 18.83%, stability 1031.26 kg and flow 4.93 mm, where the characteristic value meets the established specifications standard by Pekerjaan Umum Bina Marga. From the result, it is showed that the use of the mixture can decrease the value of stability and increase the value of flow, compared with asphalt and filler with normal levels.
随着时间的推移,洪水经常发生在古南撒哈拉地区,雅加达Utara。洪水对混凝土沥青混合料的破坏,需要特别的改进。因此,本研究的目的是了解添加石灰石和氢氧化钙组合作为抗洪水填料对混凝土沥青混合料的影响。石灰石和氢氧化钙组合填充的混凝土沥青混合料是由不均匀的骨料级配、填料和液体沥青混合而成的混合物,在热状态下固化而成。之所以使用石灰石和氢氧化钙的混合物,是因为这两种材料包含在沉积岩中最多。以最佳沥青5.4%、石灰石1个变化水平(15%)、氢氧化钙1个变化水平(15%)、填料3个变化水平(5%、7.5%、15%)配制石灰石-氢氧化钙填料组合混凝土沥青混合料,得到与洪水条件相适应的最佳沥青水平和填料水平。以最佳沥青为基础,骨料总重为5.4%,石灰石和氢氧化钙的组合水平适宜,细骨料重量为8.75%。石灰石和氢氧化钙混合料在最大工况下的特征值为VIM 4.55%, VMA 18.83%,稳定性1031.26 kg,流量4.93 mm,符合Pekerjaan Umum Bina Marga制定的规范标准。结果表明,与正常水平的沥青和填料相比,掺加该混合料会降低混凝土的稳定性值,增加混凝土的流动值。
{"title":"The Influence of Limestone And Calcium Hydroxide Addition in Asphalt Concrete Mixture","authors":"Gunaran Danny, K. Y. Nasus, Josep P. F Napitupulu, A. Makmur","doi":"10.21512/COMTECH.V7I2.2242","DOIUrl":"https://doi.org/10.21512/COMTECH.V7I2.2242","url":null,"abstract":"As time passes, flood often occurs in the area of Gunung Sahari, Jakarta Utara. The flood damages concrete asphalt mixture and it needs particular improvement. Therefore, the purpose of this research is to know the effects of the added combination of limestone and calcium hydroxide on concrete asphalt mixture as a filler resistant to flood. Concrete asphalt mixture that filled with the combination of limestone and calcium hydroxide is a mixture that is made with non-uniform aggregat gradations, filler and liquid asphalt mixed and solidified in a heat state. Limestone and calcium hydroxide mixture is used because both materials included in the most numerous sedimentary rock. Concrete asphalt mixture with the filler combination of limestone and calcium hydroxide is made with optimum asphalt 5.4%, one variation level of limestone (15%), and calcium hydroxide (15%), and three variation levels of fillers (5%, 7.5%, and 15%) to get optimum asphalt levels and filler levels that are compatible with flood condition. Based on optimum asphalt 5.4% towards aggregate total weight and combined level of limestone and calcium hydroxide suitable for the conditions, 8.75 % towards fine aggregate weight. The characteristic value of limestone and calcium hydroxide mixture in maximum condition is VIM 4.55%, VMA 18.83%, stability 1031.26 kg and flow 4.93 mm, where the characteristic value meets the established specifications standard by Pekerjaan Umum Bina Marga. From the result, it is showed that the use of the mixture can decrease the value of stability and increase the value of flow, compared with asphalt and filler with normal levels.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67819532","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 : 2016-06-01DOI: 10.21512/COMTECH.V7I2.2250
Erwin Ardianto Halim, Yohannes Kurniawan
According to Indonesia Association of Service Provider (APJII) survey in 2014, the internet user in Indonesia increased up to around 88 million. This number expresses that the use of the internet to seek business franchise information will increase as well. The increase of internet using should be followed by the quality of franchisor's website. The franchisor's website will relate to system quality, information quality and service quality (DeLone and McLean, 2003). This research uses SEM LISREL to see the loading factors of each indicator impact in variables and website quality variables impact to intention to purchase franchise. The result shows that all variables (System quality, Information Quality, and Service Quality) give significant impact to dependent variable Website Quality.
根据印度尼西亚服务提供商协会(APJII) 2014年的调查,印度尼西亚的互联网用户增加到约8800万。这一数字表明,利用互联网寻求商业特许经营信息也将增加。随着互联网使用的增加,特许人网站的质量也应随之提高。特许人的网站将关系到系统质量、信息质量和服务质量(DeLone and McLean, 2003)。本研究使用SEM LISREL分析各指标的加载因子对变量的影响,以及网站质量变量对特许经营购买意愿的影响。结果表明,所有变量(系统质量、信息质量和服务质量)对因变量网站质量有显著影响。
{"title":"Website Quality To Increase Franchise Marketing Performance Excellent","authors":"Erwin Ardianto Halim, Yohannes Kurniawan","doi":"10.21512/COMTECH.V7I2.2250","DOIUrl":"https://doi.org/10.21512/COMTECH.V7I2.2250","url":null,"abstract":"According to Indonesia Association of Service Provider (APJII) survey in 2014, the internet user in Indonesia increased up to around 88 million. This number expresses that the use of the internet to seek business franchise information will increase as well. The increase of internet using should be followed by the quality of franchisor's website. The franchisor's website will relate to system quality, information quality and service quality (DeLone and McLean, 2003). This research uses SEM LISREL to see the loading factors of each indicator impact in variables and website quality variables impact to intention to purchase franchise. The result shows that all variables (System quality, Information Quality, and Service Quality) give significant impact to dependent variable Website Quality.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67820490","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}
Voice recognition technology is one of biometric technology. Sound is a unique part of the human being which made an individual can be easily distinguished one from another. Voice can also provide information such as gender, emotion, and identity of the speaker. This research will record human voices that pronounce digits between 0 and 9 with and without noise. Features of this sound recording will be extracted using Mel Frequency Cepstral Coefficient (MFCC). Mean, standard deviation, max, min, and the combination of them will be used to construct the feature vectors. This feature vectors then will be classified using Support Vector Machine (SVM). There will be two classification models. The first one is based on the speaker and the other one based on the digits pronounced. The classification model then will be validated by performing 10-fold cross-validation.The best average accuracy from two classification model is 91.83%. This result achieved using Mean + Standard deviation + Min + Max as features.
{"title":"Analysis And Voice Recognition In Indonesian Language Using MFCC And SVM Method","authors":"Harvianto Harvianto, Livia Ashianti, Jupiter Jupiter, Suhandi Junaedi","doi":"10.21512/COMTECH.V7I2.2252","DOIUrl":"https://doi.org/10.21512/COMTECH.V7I2.2252","url":null,"abstract":"Voice recognition technology is one of biometric technology. Sound is a unique part of the human being which made an individual can be easily distinguished one from another. Voice can also provide information such as gender, emotion, and identity of the speaker. This research will record human voices that pronounce digits between 0 and 9 with and without noise. Features of this sound recording will be extracted using Mel Frequency Cepstral Coefficient (MFCC). Mean, standard deviation, max, min, and the combination of them will be used to construct the feature vectors. This feature vectors then will be classified using Support Vector Machine (SVM). There will be two classification models. The first one is based on the speaker and the other one based on the digits pronounced. The classification model then will be validated by performing 10-fold cross-validation.The best average accuracy from two classification model is 91.83%. This result achieved using Mean + Standard deviation + Min + Max as features.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67820539","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 : 2016-06-01DOI: 10.21512/COMTECH.V7I2.2256
A. Condrobimo, A. D. Sano, Hendro Nindito
The objective of this study is to apply cluster analysis or also known as clustering on stocks data listed in LQ45 index at Indonesia Stock Exchange. The problem is that traders need a tool to speed up decision-making process in buying, selling and holding their stocks.The method used in this cluster analysis is k-means algorithm. The data used in this study were taken from Indonesia Stock Exchange. Cluster analysis in this study took data’s characteristics such as stocks volume and value. Results of cluster analysis were presented in the form of grouping of clusters’ members visually. Therefore, this cluster analysis in this study could be used to identify more quickly and efficiently about the members of each cluster of LQ45 index. The results of such identification can be used by beginner-level investors who have started interest in stock investment to help make decision on stocks trading.
{"title":"The Application Of K-Means Algorithm For LQ45 Index on Indonesia Stock Exchange","authors":"A. Condrobimo, A. D. Sano, Hendro Nindito","doi":"10.21512/COMTECH.V7I2.2256","DOIUrl":"https://doi.org/10.21512/COMTECH.V7I2.2256","url":null,"abstract":"The objective of this study is to apply cluster analysis or also known as clustering on stocks data listed in LQ45 index at Indonesia Stock Exchange. The problem is that traders need a tool to speed up decision-making process in buying, selling and holding their stocks.The method used in this cluster analysis is k-means algorithm. The data used in this study were taken from Indonesia Stock Exchange. Cluster analysis in this study took data’s characteristics such as stocks volume and value. Results of cluster analysis were presented in the form of grouping of clusters’ members visually. Therefore, this cluster analysis in this study could be used to identify more quickly and efficiently about the members of each cluster of LQ45 index. The results of such identification can be used by beginner-level investors who have started interest in stock investment to help make decision on stocks trading.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67820150","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 : 2016-06-01DOI: 10.21512/COMTECH.V7I2.2248
A. M. Sundjaja
Higher demand from the top management in measuring business process performance causes the incremental implementation of BPM and BI in the enterprise. The problem faced by top managements is how to integrate their data from all system used to support the business and process the data become information that able to support the decision-making processes. Our literature review elaborates several implementations of BPI on companies in Australia and Germany, challenges faced by organizations in developing BPI solution in their organizations and some cost model to calculate the investment of BPI solutions. This paper shows the success in BPI application of banks and assurance companies in German and electricity work in Australia aims to give a vision about the importance of BPI application. Many challenges in BPI application of companies in German and Australia, BPI solution, and data warehouse design development have been discussed to add insight in future BPI development. And the last is an explanation about how to analyze cost associated with BPI solution investment.
{"title":"Investment Cost Model in Business Process Intelligence in Banking And Electricity Company","authors":"A. M. Sundjaja","doi":"10.21512/COMTECH.V7I2.2248","DOIUrl":"https://doi.org/10.21512/COMTECH.V7I2.2248","url":null,"abstract":"Higher demand from the top management in measuring business process performance causes the incremental implementation of BPM and BI in the enterprise. The problem faced by top managements is how to integrate their data from all system used to support the business and process the data become information that able to support the decision-making processes. Our literature review elaborates several implementations of BPI on companies in Australia and Germany, challenges faced by organizations in developing BPI solution in their organizations and some cost model to calculate the investment of BPI solutions. This paper shows the success in BPI application of banks and assurance companies in German and electricity work in Australia aims to give a vision about the importance of BPI application. Many challenges in BPI application of companies in German and Australia, BPI solution, and data warehouse design development have been discussed to add insight in future BPI development. And the last is an explanation about how to analyze cost associated with BPI solution investment.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67820324","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 : 2016-03-31DOI: 10.21512/COMTECH.V8I1.3776
S. Suroto, A. Nindiani, H. Purba
The objective of this research was to determine the students’ satisfaction level on the academic services provided by the accounting program at a private university in Jakarta and to evaluate attributes that should be improved. The data were obtained from questionnaires by using 5 quality dimensions. There are tangible, reliability, responsiveness, assurance, and empathy. Moreover, the data were processed by using Excel, SPSS 20, Customer Satisfaction Index (CSI) to determine the level of customer satisfaction, and also Importance-Performance Analysis (IPA) to determine the attributes of service be repaired and maintained. The results show that the CSI is 71%, which means that the majority of customers are satisfied with the performance of the service quality of accounting program. Meanwhile, the results of IPA indicate that the improvement priorities have two attributes in quadrant 1. They are the availability of space to support student activities and the availability of books and teaching materials related to the syllabus. These attributes are the top priority because the importance level is high while the performance level is low from the customers’ point of view.
{"title":"Students' Satisfaction on Academic Services in Higher Education Using Importance-Performance Analysis","authors":"S. Suroto, A. Nindiani, H. Purba","doi":"10.21512/COMTECH.V8I1.3776","DOIUrl":"https://doi.org/10.21512/COMTECH.V8I1.3776","url":null,"abstract":"The objective of this research was to determine the students’ satisfaction level on the academic services provided by the accounting program at a private university in Jakarta and to evaluate attributes that should be improved. The data were obtained from questionnaires by using 5 quality dimensions. There are tangible, reliability, responsiveness, assurance, and empathy. Moreover, the data were processed by using Excel, SPSS 20, Customer Satisfaction Index (CSI) to determine the level of customer satisfaction, and also Importance-Performance Analysis (IPA) to determine the attributes of service be repaired and maintained. The results show that the CSI is 71%, which means that the majority of customers are satisfied with the performance of the service quality of accounting program. Meanwhile, the results of IPA indicate that the improvement priorities have two attributes in quadrant 1. They are the availability of space to support student activities and the availability of books and teaching materials related to the syllabus. These attributes are the top priority because the importance level is high while the performance level is low from the customers’ point of view.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67822730","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 : 2016-03-01DOI: 10.21512/COMTECH.V7I1.2201
D. Saputra, T. Nurhayati
Fish Protein Hydrolysates (FPH) is the mixed products of polypeptide, dipeptides, and amino acid. It can be produced from materials that contained of protein by acid reaction, base reaction or enzymatic hydrolysis. The objectives of this study were to study the production of FPH from fish carp meat at post rigor phase and viscera by enzymatic hydrolysis, to determine the specific activity of papain enzyme, and to determine the solubility of FPH. Capacity of fish hydrolyzing can be identified by analyzing the content of dissolved total nitrogen (NTT) compared with nitrogen total ingredient (NTB) in order to get the value of total soluble nitrogen/total nitrogen material (NTT/NTB). The hydrolysis processes were carried out in 0,26% (w/v) papain, 60 οC for 3 hours. The result showed that the specific activity of papain enzyme was about 3.28 U/mg. Solubility of FPH by comparing NTT/NTB was about 0.29% (fish meat) and 0.40% (fish viscera). Proximate test of protein content of fish meat was 18.34 ± 0.04 (g/100 g); while viscera was about 0.95±0.04 (g/100 g). The result indicated that product waste of fish carp had potential as a major of source of FPH.
鱼蛋白水解物(FPH)是多肽、二肽和氨基酸的混合产物。它可以由含有蛋白质的材料通过酸反应、碱反应或酶水解来生产。本研究的目的是研究用酶解法从鱼肉和鱼内脏中生产鱼ph,测定木瓜蛋白酶的比活性,并测定鱼ph的溶解度。通过分析溶解总氮(NTT)含量与氮总成分(NTB)含量的比较,可以识别鱼类的水解能力,从而得到总可溶性氮/总氮物质(NTT/NTB)的值。在0、26% (w/v)的木瓜蛋白酶、60 o oc溶液中水解3小时。结果表明,木瓜蛋白酶的比活性约为3.28 U/mg。通过比较NTT/NTB, FPH的溶解度分别为0.29%(鱼肉)和0.40%(鱼内脏)。鱼肉蛋白质含量近似值为18.34±0.04 (g/100 g);内脏约为0.95±0.04 (g/100 g),表明鱼的产品废物有潜力作为FPH的主要来源。
{"title":"Production of Fish Hydrolysates Protein From Waste of Fish Carp (Cyprinus Carpio) by Enzymatic Hydrolysis","authors":"D. Saputra, T. Nurhayati","doi":"10.21512/COMTECH.V7I1.2201","DOIUrl":"https://doi.org/10.21512/COMTECH.V7I1.2201","url":null,"abstract":"Fish Protein Hydrolysates (FPH) is the mixed products of polypeptide, dipeptides, and amino acid. It can be produced from materials that contained of protein by acid reaction, base reaction or enzymatic hydrolysis. The objectives of this study were to study the production of FPH from fish carp meat at post rigor phase and viscera by enzymatic hydrolysis, to determine the specific activity of papain enzyme, and to determine the solubility of FPH. Capacity of fish hydrolyzing can be identified by analyzing the content of dissolved total nitrogen (NTT) compared with nitrogen total ingredient (NTB) in order to get the value of total soluble nitrogen/total nitrogen material (NTT/NTB). The hydrolysis processes were carried out in 0,26% (w/v) papain, 60 οC for 3 hours. The result showed that the specific activity of papain enzyme was about 3.28 U/mg. Solubility of FPH by comparing NTT/NTB was about 0.29% (fish meat) and 0.40% (fish viscera). Proximate test of protein content of fish meat was 18.34 ± 0.04 (g/100 g); while viscera was about 0.95±0.04 (g/100 g). The result indicated that product waste of fish carp had potential as a major of source of FPH.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67818485","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}
Information Technology (IT) is increasingly progressing. Nowadays, the success of a business of the organization/company is highly dependent on the IT infrastructure used. Therefore, organizations/companies have to manage their IT service to be optimal to their customers. Looking at this matter and the increasing dynamics of XYZ University, then Data and Information System Center (Pusdatin) - an IT provider of XYZ University began implementing IT Service Management (ITSM) from 2013 using the latest version of Information Technology Infrastructure Library (ITIL), namely ITIL v3 as a framework for implementing ITSM in its business processes. However, along the way, there are still some problems happen in Pusdatin in order that ITSM can actually support and align with the objectives of XYZ University. Through this paper, the authors want to explain how the implementation of ITSM at Pusdatin, identify the problems related to the implementation of ITSM, and provide the solutions for each problem. The methods used are direct observation to Pusdatin, conductan interview with the Head of Pusdatin and Staff of Pusdatin, and also perform a literature review of books and papers that discuss about ITIL. The result of this research is that ITSM process of Pusdatin generally works quite well but there are still some shortcomings because ITSM is not 100% implemented in all areas.
{"title":"Impelementation of Information Technology Service Management at Data And Information System Center of XYZ University","authors":"Kornelius Irfandhi, Ariani Indrawati, Dwykie Alexandra, Krisantus Wanandi, Yanuari Harisky, Suryadiputra Liawatimena","doi":"10.21512/COMTECH.V7I1.2220","DOIUrl":"https://doi.org/10.21512/COMTECH.V7I1.2220","url":null,"abstract":"Information Technology (IT) is increasingly progressing. Nowadays, the success of a business of the organization/company is highly dependent on the IT infrastructure used. Therefore, organizations/companies have to manage their IT service to be optimal to their customers. Looking at this matter and the increasing dynamics of XYZ University, then Data and Information System Center (Pusdatin) - an IT provider of XYZ University began implementing IT Service Management (ITSM) from 2013 using the latest version of Information Technology Infrastructure Library (ITIL), namely ITIL v3 as a framework for implementing ITSM in its business processes. However, along the way, there are still some problems happen in Pusdatin in order that ITSM can actually support and align with the objectives of XYZ University. Through this paper, the authors want to explain how the implementation of ITSM at Pusdatin, identify the problems related to the implementation of ITSM, and provide the solutions for each problem. The methods used are direct observation to Pusdatin, conductan interview with the Head of Pusdatin and Staff of Pusdatin, and also perform a literature review of books and papers that discuss about ITIL. The result of this research is that ITSM process of Pusdatin generally works quite well but there are still some shortcomings because ITSM is not 100% implemented in all areas.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67819560","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 : 2016-03-01DOI: 10.21512/COMTECH.V7I1.2193
A. Irina, M. Megawati, A. Abednego, Natalia Chandra, Irma Kartika Wairooy, Alvina Aulia
The research objective is to develop an application that allows users to participate in a loyalty program and facilitate Smartphone enterprise (Merchant) in access, sale and observation of customer transactions through mobile applications. Design method used is object-based design that includes a UML of use case diagrams, use case narrative, class diagram, sequence diagrams and activity diagrams. Results achieved in the form of mobile applications that are able to facilitate customer in managing loyalty cards as well as to increase customer loyalty. This application features, such as add points, redeem, news, transaction history, and message that can facilitate customer in managing customer loyalty card. The conclusion of this design is that the application of E Points can enable customers to manage a loyalty card in Smartphone, add points, redeem rewards, obtain the latest promotional information through news features, and view transaction history.
{"title":"Mobile Loyalty Application Development Based on Android","authors":"A. Irina, M. Megawati, A. Abednego, Natalia Chandra, Irma Kartika Wairooy, Alvina Aulia","doi":"10.21512/COMTECH.V7I1.2193","DOIUrl":"https://doi.org/10.21512/COMTECH.V7I1.2193","url":null,"abstract":"The research objective is to develop an application that allows users to participate in a loyalty program and facilitate Smartphone enterprise (Merchant) in access, sale and observation of customer transactions through mobile applications. Design method used is object-based design that includes a UML of use case diagrams, use case narrative, class diagram, sequence diagrams and activity diagrams. Results achieved in the form of mobile applications that are able to facilitate customer in managing loyalty cards as well as to increase customer loyalty. This application features, such as add points, redeem, news, transaction history, and message that can facilitate customer in managing customer loyalty card. The conclusion of this design is that the application of E Points can enable customers to manage a loyalty card in Smartphone, add points, redeem rewards, obtain the latest promotional information through news features, and view transaction history.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67818258","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 : 2016-03-01DOI: 10.21512/COMTECH.V7I1.2223
V. Ong, Derwin Suhartono
The growth in computer vision technology has aided society with various kinds of tasks. One of these tasks is the ability of recognizing text contained in an image, or usually referred to as Optical Character Recognition (OCR). There are many kinds of algorithms that can be implemented into an OCR. The K-Nearest Neighbor is one such algorithm. This research aims to find out the process behind the OCR mechanism by using K-Nearest Neighbor algorithm; one of the most influential machine learning algorithms. It also aims to find out how precise the algorithm is in an OCR program. To do that, a simple OCR program to classify alphabets of capital letters is made to produce and compare real results. The result of this research yielded a maximum of 76.9% accuracy with 200 training samples per alphabet. A set of reasons are also given as to why the program is able to reach said level of accuracy.
{"title":"Using K-Nearest Neighbor in Optical Character Recognition","authors":"V. Ong, Derwin Suhartono","doi":"10.21512/COMTECH.V7I1.2223","DOIUrl":"https://doi.org/10.21512/COMTECH.V7I1.2223","url":null,"abstract":"The growth in computer vision technology has aided society with various kinds of tasks. One of these tasks is the ability of recognizing text contained in an image, or usually referred to as Optical Character Recognition (OCR). There are many kinds of algorithms that can be implemented into an OCR. The K-Nearest Neighbor is one such algorithm. This research aims to find out the process behind the OCR mechanism by using K-Nearest Neighbor algorithm; one of the most influential machine learning algorithms. It also aims to find out how precise the algorithm is in an OCR program. To do that, a simple OCR program to classify alphabets of capital letters is made to produce and compare real results. The result of this research yielded a maximum of 76.9% accuracy with 200 training samples per alphabet. A set of reasons are also given as to why the program is able to reach said level of accuracy.","PeriodicalId":31095,"journal":{"name":"ComTech","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2016-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"67819142","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}