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Geographic Information System for Mapping and Complaint of Damaged Roads 损毁道路测绘与投诉地理信息系统
Pub Date : 2021-07-19 DOI: 10.24843/jim.2021.v09.i03.p05
Widiana Putra Winarta, I. N. Piarsa, Ni Made Ika Marini Mandenni
Indonesia is a massive archipelago of 1.919.400 km², containing roads that span at 542.000 km across various terrain conditions. This diverse geographic environment is a challenge to road constructions and repairs across the country, which has lead to disruption in public service and traffic accidents each year. We propose the Geographic Information System for Mapping and Complaint of Damaged Roads, a solution which can provide users a digital interface to report damaged roads to the transportation department in their area. This research uses Google Maps API to digitize and make a complaint about damaged roads. The result of this research is an android application for the users and a website application for the road managers. The android application is used by the users to make complaints of damaged roads. The web application is used by road managers to draw the road on Google Maps using polyline feature. With this our goal is to systematize the handling of damaged roads information, leading to faster service times and hopefully help reduce the level of traffic accidents in Indonesia. Keywords: Complaint, Damaged road, Geographic Information System, Google Maps, Road digitization.
印度尼西亚是一个巨大的群岛,面积为1919.400平方公里,包括跨越各种地形条件的道路,全长54.2万公里。这种多样化的地理环境对全国各地的道路建设和维修构成了挑战,导致公共服务中断,每年都发生交通事故。我们提出了损毁道路测绘和投诉地理信息系统,该解决方案可以为用户提供一个数字界面,向他们所在地区的交通部门报告损毁道路。本研究使用谷歌Maps API对受损道路进行数字化和投诉。本研究的结果是一个面向用户的android应用程序和一个面向道路管理人员的网站应用程序。用户可以使用这款android应用程序对受损的道路进行投诉。道路管理人员使用该web应用程序在谷歌地图上使用折线功能绘制道路。我们的目标是系统化处理受损道路信息,从而加快服务时间,并希望有助于减少印度尼西亚的交通事故水平。关键词:投诉,损毁道路,地理信息系统,谷歌地图,道路数字化
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引用次数: 0
Implementation of Enterprise Resource Planning at CV. Dewi Bulan 企业资源规划在CV中的实施。戴维·Bulan
Pub Date : 2021-07-19 DOI: 10.24843/jim.2021.v09.i03.p04
Dewi Bulan, Putu Putri Wrestra Saridewi, Ketut Gede Darma Putra, I. Sukarsa
Nowadays, the development of information technology is very fast, which allows many companies to receive the latest information technology to support the smooth running of the company's business. CV. Dewi Bulan is a small and mediu enterprise (UKM) that produces incense stick. The problems that faced by CV. Dewi Bulan is an inefficient business process, its business activities are still manually recorded, documents related to the sale, production and purchase of raw materials are still handwritten on a form in the company and the bookkeeping is done once a month. These documents cannot be accessed in real-time. This problem causes delays in processing of customer orders. The solution to overcome this problem above is to implement Enterprise Resource Planning, where in practice, ERP can automate business practices and company business procedures. ERP implementation uses a technology that is using Odoo version 11.0. This research method consists of six stages of the research process, namely; literature study, data collection, data processing, application modeling, system testing >and implementation, also conclusions and suggestions as well. The final stage in this research is to conduct a survey with the UAT questionnaire and a Likert scale to assess the satisfaction level of Odoo application users. The results of the questionnaire were dominated by the assessment of "Satisfied", this indicate that the business improvement process is made were acceptable and applied in CV. Dewi Bulan. Keywords: Business Process, Enterprise Resource Planning, Odoo, Likert Scale, UAT.
如今,信息技术的发展非常迅速,这使得许多公司能够接收到最新的信息技术来支持公司业务的顺利运行。简历。Dewi Bulan是一家生产香的中小型企业(UKM)。CV面临的问题。Dewi Bulan是一个效率低下的业务流程,其业务活动仍然是手工记录的,与原材料的销售、生产和采购有关的文件仍然是手写在公司的表格上,每月记账一次。这些文件不能实时访问。这个问题导致处理客户订单的延迟。克服上述问题的解决方案是实施企业资源计划,在实践中,ERP可以实现业务实践和公司业务流程的自动化。ERP的实现使用了Odoo 11.0版本的技术。本研究方法包括六个阶段的研究过程,即;文献研究、数据收集、数据处理、应用建模、系统测试与实现,并给出结论和建议。本研究的最后阶段是使用UAT问卷和Likert量表进行调查,以评估Odoo应用程序用户的满意度。问卷的结果以“满意”的评价为主,这表明所做的业务改进过程是可以接受的,并应用到CV中。戴维·Bulan。关键词:业务流程,企业资源规划,Odoo, Likert Scale, UAT。
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引用次数: 5
Information Security Risk Strategy at PT. X Using NIST SP 800-30 基于NIST SP 800-30的PT. X信息安全风险策略
Pub Date : 2021-05-27 DOI: 10.24843/jim.2021.v09.i03.p03
I. G. N. M. Putra Eryawan, Gusti Made Arya Sasmita, A. A. K. Agung Cahyawan Wiranatha
Information security is a vital aspect that must be considered in use of information technology devices by active users. PT. X runs a business that applies information technology related to distribution aspects through company resource planning. Information technology formed assets IT infrastructure, information systems, operating procedures, and network infrastructure. This asset has a potential threat that causes disruption resulting losses. This problem arises to cope through the response to the risk strategy. NIST SP 800-30 method has a flexible risk perspective for the organization and federation standards of American security. Research is divided into risk measurement as a risk, risk mitigation as risk planning, and risk evaluation embodied risk reports. Results of the research show the value of risk through the calculation of the likelihood and impact matrix of the highest threat is at a low level is 14, medium at 12, and high of 4 are categorized good enough. Keywords: Risk Strategy, Information Security, NIST SP 800-30, Risk
信息安全是活跃用户在使用信息技术设备时必须考虑的一个重要方面。PT.X经营着一家通过公司资源规划应用与分销相关的信息技术的公司。信息技术形成了资产—IT基础设施、信息系统、操作程序和网络基础设施。该资产具有潜在的威胁,会造成中断造成的损失。这个问题的产生是为了通过对风险策略的反应来应对。NIST SP 800-30方法对美国安全的组织和联邦标准具有灵活的风险视角。研究分为作为风险的风险测量、作为风险规划的风险缓解和包含风险评估的风险报告。研究结果表明,通过计算风险值的可能性和影响矩阵,最高威胁级别为低级别为14,中等级别为12,高级别为4。关键词:风险策略,信息安全,NIST SP 800-30,风险
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引用次数: 3
Identification of Baby's Feet Using Principal Component Analysis (PCA) Method Character Extraction with K-Nearest Neighbor (KNN) Classification in Matlab Application 主成分分析法在婴儿足部识别中的应用
Pub Date : 2021-05-19 DOI: 10.24843/jim.2021.v09.i03.p02
Geyge Andika Lesmana, I. N. Piarsa, I. M. S. Putra
Biometric recognition systems or human identification are very important in security access for identification and verification systems. The biometric recognition system can be used as an identification system based on the characteristics possessed by the body part of each individual. The soles of the feet can be used for identification because the soles of the feet have certain and unique characteristics which include major lines, protrusions, small dots, single points, and textures. The introduction of biometrics in babies is still conventional, which is a standard operating procedure such as attaching bracelets on baby's feet and imprinting or inking on the soles of baby's feet which are affixed to paper and are very vulnerable to the risk of damage or loss of data, there is a need for a system that can store data automatically digital and able to do the baby identification process. The Principal Component Analysis method is used for the extraction process of the characteristics of the baby's feet. The classification uses the K-Nearest Neighbor (K-NN) method with the euclidean distance approach. Tests were carried using 120 images of baby feet, there are 20 classes, each class contains 3 images of the right foot and 3 images of the foot of the left foot, and a dataset of 280 training images. The highest accuracy result obtained in system testing is 91% with a computation time of 5.63 seconds using the Principal Component Analysis method with the K-Nearest Neighbor (K-NN) classification.Keywords: Footprint, Feature Extraction, Principal Component Analysis, K-Nearest Neighbor.
生物识别系统或人体识别在识别和验证系统的安全访问中非常重要。生物特征识别系统可以用作基于每个个体的身体部位所具有的特征的识别系统。脚底可以用于识别,因为脚底具有某些独特的特征,包括主要线条、突起、小点、单点和纹理。在婴儿中引入生物识别技术仍然是传统的,这是一种标准的操作程序,例如将手镯戴在婴儿的脚上,并在婴儿的脚底上压印或着墨,这些脚底贴在纸上,非常容易受到数据损坏或丢失的风险,需要一种能够自动数字存储数据并且能够进行婴儿识别过程的系统。采用主成分分析法对婴儿足部特征进行提取。该分类使用K-最近邻(K-NN)方法和欧氏距离方法。使用120张婴儿脚的图像进行测试,共有20个类别,每个类别包含3张右脚图像和3张左脚图像,以及280张训练图像的数据集。采用K-近邻(K-NN)分类的主成分分析方法,在系统测试中获得的最高准确率为91%,计算时间为5.63秒。关键词:足迹,特征提取,主成分分析,K-近邻。
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引用次数: 2
Evaluation of IT Governance at Office X using the COBIT 5 Framework 使用COBIT 5框架对Office X的IT治理进行评估
Pub Date : 2021-04-29 DOI: 10.24843/jim.2021.v09.i01.p01
Krissna Bayu, Oka Sudana, Ayu Wirdiani, Ananda Paramartha
The IT governance audit aims to determine the level of importance (maturity level) of a company or government agency. IT governance audit is essential because if governance is not implemented correctly, the harmony between IT is beneficial to support business processes, and standard procedures will not be achieved. One of the agencies that require the implementation of good IT governance is Office X in Badung Regency. Office X in Badung Regency has a function in developing ICT infrastructure through application development, public service content, and ICT networks to improve public services. Conditions that occur in the field are frequent errors caused by internal and external parties that negatively impact the data management of Office X. The audit process begins with observations in the agency environment related to activity data and implementation, then mapping with business goals according to COBIT 5, followed by mapping business goals with IT Goals to obtain IT processes. The obtained IT processes are then selected to obtain critical IT processes according to the Executive Office. The audit results show that four IT processes need to be given recommendations for improvement, namely MEA 01, EDM 01, APO 07, DSS02.
IT治理审计旨在确定公司或政府机构的重要性级别(成熟度级别)。IT治理审计至关重要,因为如果治理没有得到正确实施,IT之间的协调有利于支持业务流程,而标准程序将无法实现。Badung Regency的Office X是需要实施良好IT治理的机构之一。Badung Regency的X办公室的职能是通过应用程序开发、公共服务内容和信息和通信技术网络开发信息通信技术基础设施,以改善公共服务。现场发生的情况是内部和外部各方造成的频繁错误,这些错误对Office X的数据管理产生了负面影响。审计过程从机构环境中与活动数据和实施相关的观察开始,然后根据COBIT 5与业务目标进行映射,然后将业务目标与IT目标进行映射以获得IT流程。然后根据执行办公室的要求,选择获得的IT流程以获得关键的IT流程。审计结果表明,需要对四个IT流程提出改进建议,即MEA 01、EDM 01、APO 07和DSS02。
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引用次数: 3
E-Readiness of Integrated Information Systems Using STOPE Framework in Udayana University 乌达亚那大学使用STOPE框架的集成信息系统的E-Readiness
Pub Date : 2021-04-29 DOI: 10.24843/jim.2021.v09.i01.p02
Theca Difa Yulian Syahputri, Dwi Putra Githa, I. Pratama
Many industries and institutions have switched to digital technology, an integrated information technology system, since we entered the era of the industrial revolution 4.0. In implementing new strategies, problems often occur because they do not assess technology readiness (e-readiness) to be built. Therefore, it is necessary to conduct a technology readiness assessment (e-readiness) either before or after the new system is implemented to assess how ready it is. The review can use the STOPE framework to be flexible so that this framework can be adjusted to the case study handled. IMISSU is an integrated management information system technology belonging to Udayana University. The results of the IMISSU e-readiness assessment found that the readiness of Udayana University in implementing IMISSU is at a very ready level (4 of 4). Assessment using the STOPE framework includes three levels, namely the domain, sub-domain, and sub-sub-domain levels. The study was conducted by distributing 100 questionnaires divided among various academicians in the university, adjusted to the STOPE framework domain. 
自从我们进入工业革命4.0时代以来,许多行业和机构都转向了数字技术,这是一个集成的信息技术系统。在实施新战略时,经常会出现问题,因为它们没有评估要建立的技术准备情况(电子准备情况)。因此,有必要在新系统实施之前或之后进行技术准备情况评估,以评估其准备情况。审查可以灵活使用STOPE框架,以便根据所处理的案例研究调整该框架。IMISSU是Udayana大学的一个综合管理信息系统技术。IMISSU电子就绪性评估结果发现,乌达亚纳大学在实施IMISSU方面的就绪性处于非常就绪的水平(第4页,共4页)。使用STOPE框架的评估包括三个级别,即域、子域和子域级别。这项研究是通过在大学的不同院士中分发100份问卷来进行的,并根据STOPE框架域进行了调整。
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引用次数: 2
Comparison of Support Vector Machine and K-Nearest Neighbor for Baby Foot Identification based on Image Geometric Characteristics 基于图像几何特征的支持向量机与k近邻婴儿足识别比较
Pub Date : 2021-04-29 DOI: 10.24843/jim.2021.v09.i01.p08
Angga Pratama Nugraha, I. N. Piarsa, I. M. Suwija Putra
Biometric recognition of infant identification systems is critical in security access for identification and verification systems. However, until now, hospitals or health centres in Indonesia still use conventional biometric identification, such as stamping or inking on the soles of babies' feet affixed to paper and are very vulnerable to the risk of damage or loss of data. To resolve this problem, computer vision technology can accurately identify the baby's feet' soles with the final result in the form of digital data. This study compares the classification method of baby feet using the SVM (Support Vector Machine) algorithm with the K-Nearest Neighbor algorithm. The baby's feet understudy image was taken using a cellphone camera with sample data of 3 months old babies. Comparing the SVM and KNN classification methods obtained high accuracy, precision and recall values, namely 98.80% accuracy, 89.51% precision and 88.00% recall. (for the SVM Gaussian kernel classification), with an accuracy of 99.08%, 92.65% precision and 90.75% recall (for the KNN Ecluidean Distance classification), it can be concluded that the KNN classification method using Euclidean distance is the best for applied in the baby palm identification system using the geometric image feature.
婴儿身份识别系统的生物特征识别对身份识别和验证系统的安全访问至关重要。然而,到目前为止,印度尼西亚的医院或保健中心仍然使用传统的生物特征识别,例如在婴儿的脚底贴上纸上盖章或墨水,并且非常容易受到损坏或丢失数据的风险。为了解决这个问题,计算机视觉技术可以准确地识别婴儿的脚底,并以数字数据的形式最终得到结果。本研究比较了支持向量机(SVM)算法和k近邻算法对婴儿足部的分类方法。婴儿的脚替补图像是用手机相机拍摄的,样本数据为3个月大的婴儿。比较SVM和KNN分类方法获得了较高的正确率、精密度和召回率,分别为98.80%、89.51%和88.00%。(对于SVM高斯核分类),准确率为99.08%,精度为92.65%,召回率为90.75%(对于KNN欧氏距离分类),可以得出基于欧氏距离的KNN分类方法最适合应用于利用几何图像特征的婴儿手掌识别系统。
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引用次数: 4
Web-Based E-Marketing Application for Balinese Art Studio 巴厘艺术工作室网络营销应用
Pub Date : 2021-04-29 DOI: 10.24843/jim.2021.v09.i01.p04
Wahyu Hardinugraha, Oka Sudana, Dwi Putra Githa
Balinese art and culture are unique because they may not be found in other regions. This uniqueness provides a characteristic and an attraction for foreign and domestic tourists visiting the island of Bali. The art studio is a place to provide traditional performing arts. The constraints experienced by art studios generally prevail in the manual marketing of art services, while the public or consumers experience problems ordering these performing arts services. E-Marketing is an online marketing medium with the help of the internet, which aims to expand the marketing of performing arts services without being limited by space and time. The method used in this study includes five main stages, namely, requirements analysis, system design, implementation, testing, and system maintenance. This research produces an E-Marketing Application for Sanggar Seni Bali with a website as the mediator. The Black Box test results show that all the system functionality components have been running successfully. The questionnaire analysis based on the answer scale percentage results shows that this application has been running well, responds according to the data needed, and is very suitable to be applied to people, especially those who need assistance in ordering traditional performing arts services. The implementation of this application will indirectly be a means of promoting traditional performing arts.
巴厘岛的艺术和文化是独一无二的,因为它们可能在其他地区找不到。这种独特性为参观巴厘岛的国内外游客提供了一种特色和吸引力。艺术工作室是提供传统表演艺术的地方。艺术工作室所受到的限制普遍存在于艺术服务的人工营销中,而公众或消费者在订购这些表演艺术服务时则会遇到问题。E-Marketing是一种借助互联网的网络营销媒介,旨在不受空间和时间的限制,扩大表演艺术服务的营销。本研究使用的方法包括五个主要阶段,即需求分析、系统设计、实现、测试和系统维护。本研究以网站为中介,以峇里桑格森尼的网路行销应用为研究对象。黑盒测试结果表明,所有系统功能组件都已成功运行。基于回答量表百分比结果的问卷分析表明,该应用程序运行良好,根据需要的数据进行响应,非常适合应用于人们,特别是需要帮助订购传统表演艺术服务的人。这项申请的实施将间接地促进传统表演艺术的发展。
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引用次数: 1
Augmented Reality Application with Real Object Marker of Tanah Lot Temple 塔拿罗寺实物标识的增强现实应用
Pub Date : 2021-04-29 DOI: 10.24843/jim.2021.v09.i01.p05
I. P. Y. P. Yasa, I. K. G. Darma Putra, Dewa Made Sri Arsa
Tanah Lot Temple is located in Beraban Village, Kediri District, Tabanan Regency. Tanah Lot Temple is a temple that is included in the Dang Kahyangan Temple. Tanah Lot Temple has buildings scattered in the Tanah Lot Temple Tourism Object. Not all of the buildings in Tanah Lot Temple are known by tourists. Augmented Reality is a visual technology that combines objects or virtual worlds into real-world views in real-time. This study used markerless method and was developed using the Wikitude library and supported by web hosting to store information data and building coordinate data. The system in this study runs dynamically, making it easier to manage data without modifying the program code. Augmented Reality application results with real object marker of Tanah Lot Temple are that it can display information in the form of text narrative and location points along with voice explanations for each building in Tanah Lot Temple.
Tanah Lot寺庙位于Tabanan摄政Kediri区Beraban村。塔纳罗得寺是一个寺庙,包括在Dang Kahyangan寺。塔纳罗寺的建筑分散在塔纳罗寺旅游对象内。并不是塔纳罗得寺的所有建筑都为游客所知。增强现实是一种将物体或虚拟世界实时结合到现实世界视图中的视觉技术。本研究采用无标记的方法,利用Wikitude库开发,通过web hosting支持存储信息数据和构建坐标数据。本研究的系统是动态运行的,在不修改程序代码的情况下更容易管理数据。塔拿罗寺实物标记的增强现实应用结果是,塔拿罗寺的每一栋建筑都能以文字叙述和位置点的形式显示信息,并配有语音讲解。
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引用次数: 1
Forecasting Number of COVID-19 in Bali Province Using Neural Network Algorithm 基于神经网络算法的巴厘省新冠肺炎病例预测
Pub Date : 2021-04-29 DOI: 10.24843/jim.2021.v09.i01.p07
Ida Ayu Dian Kusuma Dewi, I. K. N. A. Jaya, Kadek Oky Sanjaya
COVID-19 (coronavirus disease 2019) is a large family of viruses that cause mild to severe illness, such as the common cold or colds and serious illnesses such as MERS and SARS. COVID-19 has become a pandemic, meaning that there has been an increase in cases of the disease which is quite fast and there has been spread between countries and caused enormous losses in various countries. The increasing number of COVID-19 cases every day in Indonesia, including in Bali Province and the resulting losses underlie the forecasting of the number of COVID-19 in Bali Province. Forecasting is carried out using the Neural Network algorithm for time series data on the number of COVID-19 in Bali Province. The data used is data on the number of COVID-19 in the Bali Province in the form of time series data sourced from the Bali Provincial Health Office. The entire forecasting process uses the Rapidminer Studio tools starting from preprocessing, modeling, testing and validation. The results of the RMSE (Root Mean Square Error) evaluation value based on testing for the positive patients were 18.956, the patients recovered were 15.413, the patients under treatment were 5.066 and the patients who died was 0.233.
COVID-19(冠状病毒病2019)是一大类病毒,可引起轻微至严重的疾病,如普通感冒或感冒,以及中东呼吸综合征和非典型肺炎等严重疾病。COVID-19已经成为一种大流行,这意味着疾病病例的增加速度非常快,并且在国家之间传播,给各国造成了巨大损失。印度尼西亚(包括巴厘省)每天新增的COVID-19病例数量不断增加,由此造成的损失是预测巴厘省COVID-19病例数量的基础。利用神经网络算法对巴厘岛省COVID-19病例数的时间序列数据进行预测。所使用的数据是来自巴厘省卫生局时间序列数据形式的关于巴厘省COVID-19病例数量的数据。从预处理、建模、测试到验证,整个预测过程都使用Rapidminer Studio工具。检测阳性患者的RMSE(均方根误差)评价值为18.956,康复患者为15.413,治疗患者为5.066,死亡患者为0.233。
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引用次数: 0
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