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BACK-END SYSTEM DESIGN BASED ON REST API 基于rest API的后端系统设计
Pub Date : 2022-06-30 DOI: 10.37600/tekinkom.v5i1.401
Hendrik Fery Herdiyatmoko
Back-End is a logical space with the functionality and operation of a software application or information system. Currently, SMA Xaverius 1 Palembang does not yet have a rest server-based application whose background can be accessed by a multi-platform rest client. Therefore, an application based on the RESTful rest api based back-end was built. This RESTful application or REST Server provides data to be accessed by the REST Client using data exchange in JSON format using the HTTP protocol built using the Laravel Framework. The Laravel framework provides a mechanism for building REST Servers via the Rest Server library that supports a full RESTful server implementation. The results of this research have been successful. A Laravel 7-based REST Server application has been built which provides endpoints in the form of json and status codes which can later be accessed by multi-platform rest clients. Through the application based on the back-end rest api, the results from the endpoint get a response from the server in the form of json that supports interoperability.
后端是包含软件应用程序或信息系统的功能和操作的逻辑空间。目前,SMA Xaverius 1 Palembang还没有基于rest服务器的应用程序,其后台可以由多平台rest客户端访问。因此,构建了一个基于后端RESTful rest api的应用程序。这个RESTful应用程序或REST服务器提供数据供REST客户端访问,使用JSON格式的数据交换,使用使用Laravel框架构建的HTTP协议。Laravel框架提供了一种通过REST Server库构建REST服务器的机制,该库支持完整的RESTful服务器实现。这项研究的结果是成功的。一个基于Laravel 7的REST Server应用已经构建完成,它以json和状态码的形式提供端点,以后可以被多平台REST客户端访问。通过基于后端rest api的应用程序,来自端点的结果以支持互操作性的json形式从服务器获得响应。
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引用次数: 0
PERANCANGAN SISTEM INFORMASI BUKU TABUNGAN MENGGUNAKAN ORACLE APPLICATION DEVELOPMENT FRAMEWORK PT. ASURANSI SINARMAS
Pub Date : 2022-06-30 DOI: 10.37600/tekinkom.v5i1.513
Getsemani Salisa Margaretha, M. Pakereng
A bank book is something that is needed by a customer, both a company and an individual. This is because the function of the bank book itself is as a system that records details of the entry and exit of money in the passbook, checking balances, monthly reports for incoming deposits, and so on. so that it is not uncommon for many well-known companies in Indonesia and abroad to create systems that design a company's financial records, such as P. Asuransi Sinarmas who also designs a bank book system with the tools used are Oracle Java Application Development Framework (oracle). ADF) and Oracle MySQL as data storage. Oracle is widely used by companies because it has several advantages in the amount of data it handles is very large, processes data quickly and accurately has a good ability to perform server clusters and database system management, can restore databases, and is multi-platform, can be used on other operating systems such as Mac and Linux.
银行存折是客户需要的东西,无论是公司还是个人。这是因为银行账簿本身的功能是作为一个系统,记录存折中资金的进出、核对余额、入账月报等详细信息。因此,对于印度尼西亚和国外的许多知名公司来说,创建设计公司财务记录的系统并不罕见,例如P. Asuransi Sinarmas也设计了一个银行账簿系统,使用的工具是Oracle Java应用程序开发框架(Oracle)。ADF)和Oracle MySQL作为数据存储。Oracle被公司广泛使用,因为它有几个优点,它处理的数据量非常大,处理数据快速准确,具有良好的服务器集群和数据库系统管理能力,可以恢复数据库,并且是多平台的,可以在Mac和Linux等其他操作系统上使用。
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引用次数: 1
IMPLEMENTASI METODE LONG SHORT TERM MEMORY UNTUK MEMPREDIKSI PERGERAKAN NILAI HARGA EMAS 长期速记方法的实施,以预测黄金价格的流动
Pub Date : 2022-06-30 DOI: 10.37600/tekinkom.v5i1.507
Michael Owen, Vincent Vincent, Riama Br Ambarita, Evta Indra
Investment is an activity that is invested or financed with the hope of profit or return in the future. One form of investment is to use gold. Many people are interested in investing in gold. Apart from being quite affordable, investing in gold is also very easy to do and flexible. Gold is included in the low risk investment class because its price movements tend to follow the rate of inflation. This study uses the Long Short Term Memory (LSTM) method to predict the movement of gold prices which will visualize the data in the form of a Line Chart. This study aims to provide decision support material regarding the movement of buying and selling prices of gold through the presentation of data aimed at people who invest in gold. However, real gold price movements cannot be separated from external factors such as the exchange rate of the rupiah against foreign currencies, import export policies and other government policies. There are many influencing factors such as opening price, closing price, adjust close, volume, highs, lows recorded over a certain period of time. Another factor is the Daily Return which can be positive (Grown In Value) and negative (Lost In Value).
投资是一种投资或融资的活动,希望在未来获得利润或回报。投资的一种形式是使用黄金。许多人对投资黄金感兴趣。除了价格实惠之外,投资黄金也非常容易操作和灵活。黄金被列入低风险投资类别,因为它的价格变动往往跟随通货膨胀率。本研究使用长短期记忆(LSTM)方法来预测黄金价格的走势,这将以折线图的形式将数据可视化。本研究旨在通过展示针对黄金投资者的数据,提供有关黄金买卖价格变动的决策支持材料。然而,真正的黄金价格走势不能脱离外部因素,如印尼盾对外币的汇率、进出口政策和其他政府政策。影响因素有很多,如开盘价、收盘价、调整收盘价、成交量、一定时期内的高点、低点。另一个因素是日回报,它可以是正的(价值增长)和负的(价值损失)。
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引用次数: 2
ANALISIS TINGKAT KEPUASAN PELANGGAN PADA RUDANG HOTEL BERASTAGI MENGGUNAKAN METODE CUSTOMER SATISFACTION INDEX (CSI)
Pub Date : 2022-06-30 DOI: 10.37600/tekinkom.v5i1.511
Okta Jaya Harmaja, Windania Purba, Maxwell Paulus Siregar, Henry Triadi Manurung, Fransisco Andreas Sirait
Service quality is very important in the hospitality industry because of the great competition in the industry. Therefore, the hotel must provide the best service to its guests. This study was conducted to see how the quality of service at the Rudang Berastagi hotel to guests using the CSI method to calculate the level of customer satisfaction at the Rudang Berastagi Hotel as an evaluation material to improve hotel services in the future. Data processing in this study was carried out using the Python programming language through Google Colab. Based on the calculation of guest satisfaction at Rudang Berastagi Hotel through a questionnaire of 110 respondents, it was found that the guests were satisfied with the services provided by Rudang Berastagi Hotel with a satisfaction level of 78.4% using the Customer Satisfication Index (CSI) method. According to the questionnaires that have been distributed, it is concluded that question number 1 with the contents of the questions having a complete, comfortable, clean, and well-organized room interior gets the highest mean value of 4.27%.
由于酒店业竞争激烈,服务质量在酒店业中非常重要。因此,酒店必须为客人提供最好的服务。本研究是为了了解Rudang Berastagi酒店对客人的服务质量如何使用CSI方法来计算Rudang Berastagi酒店的客户满意度水平,并将其作为评价材料来改进未来的酒店服务。本研究的数据处理使用Python编程语言通过Google Colab进行。通过对110名被调查者的问卷调查,计算出客人对如东贝勒斯塔吉酒店的满意度,采用顾客满意度指数(CSI)法,客人对如东贝勒斯塔吉酒店提供的服务感到满意,满意度为78.4%。根据已发放的问卷,问卷内容为“房间内部完整、舒适、干净、整洁”的问题1的平均值最高,为4.27%。
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引用次数: 0
ANALISIS USER EXPERIENCE MAHASISWA TERHADAP SISTEM INFORMASI SIASAT MENGGUNAKAN USER EXPERIENCE QUESTIONNAIRE
Pub Date : 2022-06-30 DOI: 10.37600/tekinkom.v5i1.498
Eirene Ratmoko, M. Pakereng
The current development of information systems needs to be reviewed whether the quality of the information system is able to answer the needs of its users. One of the information system technologies is the Satya Wacana Academic Information System (SIASAT), which until now there has been no research that discusses the level of user experience satisfaction when using the SIASAT. Therefore, an analysis of the student SIASAT user experience was carried out using the User Experience Questionnaire (UEQ) method. UEQ is a measurement measured from aspects of its use and aspects of experience including compressive impressions with a questionnaire scale. UEQ has 26 questions covering 6 scales, including the attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty scales. The final result of the study concluded that for the attractiveness scale, the evaluation value was normal and the benchmark was Bad. The perspicuity scale gets a positive evaluation value and the benchmark is Above Average. The efficiency scale gets a normal evaluation value and a Bad benchmark. The dependability scale gets normal evaluation values and Bad benchmark. The stimulation scale gets a normal evaluation value and a Bad benchmark. The novelty scale gets a negative evaluation score and the benchmark is Bad.
当前信息系统的发展需要审查信息系统的质量是否能够满足其用户的需要。信息系统技术之一是Satya Wacana学术信息系统(SIASAT),到目前为止,还没有研究讨论用户使用SIASAT时的体验满意度水平。因此,采用用户体验问卷(UEQ)方法对SIASAT学生的用户体验进行了分析。UEQ是一种用问卷量表从使用方面和体验方面(包括压缩印象)进行测量的方法。UEQ共有26个问题,涵盖6个量表,包括吸引力、清晰度、效率、可靠性、刺激和新颖性量表。研究的最终结果是,吸引力量表的评价值为正常,基准为差。清晰度量表获得正面评价值,基准为中上。效率量表的评价值一般,基准差。信度量表的评价值一般,基准差。刺激量表的评价值为正常,基准值为差。新颖性量表得分为负,基准得分为差。
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引用次数: 0
PENERAPAN DATA MINING PEMASARAN PRODUK MENGGUNAKAN METODE CLUSTERING 产品数据挖掘应用采用分层方法
Pub Date : 2022-06-30 DOI: 10.37600/tekinkom.v5i1.458
Melladia Melladia, Dian Eka Putra, Leila Muhelni
This study aims to build a data mining application that is able to classify products marketed by companies to find out the products needed for the following month. This application groups non-hierarchical data which is designed to divide existing data into two or more groups so that the same data can be entered into other groups. In this study, the data used is data from PT Cipta Niaga Semesta Mayora Group and the method used is clustering. Data mining is computer-based data processing to gain knowledge. By using data mining, processing sales data at PT Cipta Niaga Semesta Mayora Group becomes easier and gains useful knowledge to take steps to face competition. For this reason, the company's management foresight is needed in choosing technology to help work so that the costs incurred are proportional to the company's opinion. The development of this framework is completed through several stages starting with the first data collection, followed by the second stage of application design, the third stage of the four stages of program development and program implementation. Using data mining applications can help PT Cipta Niaga Semesta categorize the products it sells so that the company can predict the product inventory needed for the following month. So with the new information the company can find out what products customers want.
本研究旨在建立一个数据挖掘应用程序,该应用程序能够对公司销售的产品进行分类,以找出下个月所需的产品。该应用程序对非分层数据进行分组,将现有数据分为两个或多个组,以便将相同的数据输入到其他组中。本研究采用PT Cipta Niaga Semesta Mayora Group的数据,采用聚类方法。数据挖掘是基于计算机的数据处理,以获得知识。通过使用数据挖掘,PT Cipta Niaga Semesta Mayora Group的销售数据处理变得更加容易,并获得有用的知识,以便采取措施应对竞争。因此,在选择技术来帮助工作时,需要公司的管理远见,使所产生的成本与公司的意见成正比。该框架的开发是通过几个阶段完成的,从第一个数据收集开始,然后是第二阶段的应用程序设计,第三阶段的程序开发和程序实施四个阶段。使用数据挖掘应用程序可以帮助PT Cipta Niaga Semesta对其销售的产品进行分类,以便该公司可以预测下个月所需的产品库存。因此,有了新的信息,公司可以找出客户想要什么产品。
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引用次数: 2
RANCANG BANGUN PLATFORM PENGGALANGAN DANA MASJID BERBASIS WEBSITE DENGAN METODE CROWDFUNDING 设计以众筹方法为基础的清真寺筹款平台
Pub Date : 2022-06-30 DOI: 10.37600/tekinkom.v5i1.461
Suci Mutiara, Muhammad Miftah Murod
Every social service institution definitely needs funds to carry out various service programs, one of which is raising funds for the construction of mosques or mosque renovations. Thus, there are still many mosques that raise funds by taking to the streets and asking road users, so that it can hinder the smooth flow of traffic, as well as many mosque charity boxes in every shopping center and in one shopping center there can be two to three mosque charity boxes. which exists. In this study, use the website as a research base that aims to mobility towards its use. The system that will be built will use the CodeIgniter Framework as a framework in the development of the Crowdfunding system. In this study using the prototype with the consideration that the prototype is easier to implement and has a smaller risk of failure. This application is designed using Java Programming Language, HTML5 Bootstrap, codeigniter and MYSQL database. Software testing results have been tested using the Black-Box Testing method. the result is that the menu button on the website can work properly and the website can be run on all smart phones. The results of this study are in the form of a Website-Based Mosque Fundraising Platform with the Crowdfunding Method which can accommodate donors to give alms and mosque administrators can make mosque charity fundraising either for renovation or construction.
每个社会服务机构都需要资金来开展各种服务项目,其中之一就是为清真寺的建设或清真寺的翻新筹集资金。因此,仍然有很多清真寺通过走上街头向道路使用者募捐来筹集资金,从而阻碍了交通的畅通,而且每个购物中心都有很多清真寺慈善箱,一个购物中心可以有两到三个清真寺慈善箱。它的存在。在本研究中,使用网站作为研究基础,旨在移动到它的使用。将构建的系统将使用CodeIgniter框架作为开发众筹系统的框架。在本研究中使用的原型,考虑到原型更容易实现,具有较小的失败风险。本应用程序是使用Java编程语言,HTML5 Bootstrap,编码器和MYSQL数据库设计的。软件测试结果使用黑盒测试方法进行测试。结果是网站上的菜单按钮可以正常工作,网站可以在所有智能手机上运行。本研究的结果是基于网站的清真寺筹款平台,采用众筹方式,可以容纳捐助者进行施舍,清真寺管理人员可以进行清真寺的慈善筹款,无论是翻新还是建设。
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引用次数: 0
IDENTIFIKASI PENGENALAN WAJAH UNTUK SISTEM PRESENSI MENGGUNAKAN METODE KNN (K-NEAREST NEIGHBOR) 使用KNN方法进行面部识别
Pub Date : 2022-06-30 DOI: 10.37600/tekinkom.v5i1.477
D. Yulianti, I. Triastomoro, Sofia Sa’idah
Attendance is an activity that is so important and cannot be separated from a teaching and learning activity to calculate and see student attendance. In this Final Project, research on the automatic attendance system is carried out through facial recognition identification (face recognition) using a webcam as a system input, then the resulting image capture results from each image will be processed through feature extraction using the LBPH (Local Binary Pattern Histogram) method and classification with the KNN (K-Nearest Neighbor) method and the help of OpenCV library-based Python software. The research in this Final Project obtained an average accuracy value in facial recognition using LBPH (Local Binary Pattern Histogram) of 93.9%, with an average FAR value of 4.66% and an average FRR value of 1.33%. For the classification of KNN (K-Nearest Neighbor) using Euclidean Distance when k = 1 obtained an accuracy of 100% with a computation time of 34 ms, at the time of k = 3 an accuracy of 98% with a computation time of 37 ms was obtained and at the time of k = 5 an accuracy of 88% with a computation time of 42 ms.
考勤是一项非常重要的活动,不能与教学活动分开来计算和查看学生的考勤。在本次Final Project中,通过使用网络摄像头作为系统输入,对自动考勤系统进行人脸识别(face recognition)的研究,然后通过LBPH (Local Binary Pattern Histogram)方法进行特征提取,使用KNN (K-Nearest Neighbor)方法进行分类,并借助于基于OpenCV库的Python软件,对每张图像进行图像采集结果的处理。本Final Project的研究得到了LBPH (Local Binary Pattern Histogram,局部二值模式直方图)人脸识别的平均准确率为93.9%,平均FAR值为4.66%,平均FRR值为1.33%。当k = 1时,利用欧几里得距离对KNN (k - nearest Neighbor)进行分类,准确率为100%,计算时间为34 ms;当k = 3时,准确率为98%,计算时间为37 ms;当k = 5时,准确率为88%,计算时间为42 ms。
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引用次数: 3
IMPLEMENTASI ANALISIS STP (SEGMENTATION, TARGETING, POSITIONING) PADA USAHA KUE TRADISIONAL DJAJE 实施STP(细分,目标定位,定位)分析方法,与传统方法类似
Pub Date : 2022-06-30 DOI: 10.37600/tekinkom.v5i1.482
Made Dwi Mahendra Putra, Sephy Lavianto, I. M. Artana
Djaje is a traditional cake business that was founded in 2017. The products that Djaje sells are various wet snacks. The initial strategy used was only offline, such as handing cakes to resellers, but as the number of competitors increased, Djaje's sales declined. This research uses method analysis STP (Segmentation, Targeting, Positioning) the data is then presented with a qualitative descriptive method. The purpose of this study was to determine the results of implementing digital marketing strategies in improving traditional cakes. The results of the implementation of the strategy implemented by adjusting the content of photos, descriptions, posts, and advertisements using STP (Segmentation, Targeting, Positioning) analysis as a basis. By utilizing various digital platforms to reach more potential consumers, Djaje managed to make cake sales increase from October 2021 by Rp. 10,000,000 per month until March 2022 reaching Rp. 25,092,500 with total sales for 6 months of Rp. 105,832,500.
Djaje是一家成立于2017年的传统蛋糕公司。Djaje出售的产品是各种湿小吃。最初使用的策略只是线下,比如把蛋糕交给经销商,但随着竞争对手的增加,Djaje的销量下降了。本研究采用STP (Segmentation, Targeting, Positioning)分析方法,对数据进行定性描述。本研究的目的是确定实施数字营销策略在改进传统蛋糕的结果。该策略的实施结果以STP (Segmentation, Targeting, Positioning)分析为基础,通过调整照片、描述、帖子和广告的内容来实施。通过利用各种数字平台来接触更多潜在消费者,从2021年10月到2022年3月,Djaje成功地使蛋糕销售额每月增加10,000,000卢比,达到25,092,500卢比,6个月的总销售额为105,832,500卢比。
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引用次数: 0
PREDIKSI PRESTASI MAHASISWA DENGAN MENGGUNAKAN ALGORITMA BACKPROPAGATION 学生成就预测使用了一种基于宣传的算法
Pub Date : 2022-06-30 DOI: 10.37600/tekinkom.v5i1.512
Sahat Sonang, Arifin Tua Purba, Sarida Sirait
This study aims to overcome the problems in predicting student achievement at the Polytechnic Business Indonesia Pematangsiantar. To predict student achievement is done by applying Backpropagation algorithm and implement it into Matlab software. Backpropagation algorithm is one of the methods on artificial neural networks that is quite reliable in solving problems including prediction. In this study conducted on the object of students semester One with a lot of data samples 26 samples. The data sample is divided into two parts, 70% of the data is used as training data and 30% of the data is used as testing data. This study uses ten architectural models, namely 9-2-1, 9-3-1, 9-4-1, 9-5-1, 9-6-1, 9-7-1, 9-8-1, 9-9-1, 9-10-1, 9-11-1. Of the ten Backpropagation network architecture models implemented in predicting student achievement in Matlab software obtained the best output is 9-2-1 pattern with epoch 8149, time duration for 17 seconds, and MSE (error rate) value of 2.80 e-05 for training and MSE (error rate) of 0.1248 with accuracy of 87.5% for testing. The best architecture obtained is expected to be used as a picture by the academic Polytechnic Business Indonesia (PBI) in predicting student achievement.
本研究的目的在于克服预测印尼工商学院学生成绩的问题。应用反向传播算法对学生成绩进行预测,并在Matlab软件中实现。反向传播算法是人工神经网络中较为可靠的一种解决预测等问题的方法。本研究以第一学期的学生为对象进行了大量的数据样本26个样本。数据样本分为两部分,70%的数据作为训练数据,30%的数据作为测试数据。本研究使用了10个建筑模型,分别是9-2-1、9-3-1、9-4-1、9-5-1、9-6-1、9-7-1、9-8-1、9-9-1、9-10-1、9-11-1。在Matlab软件中实现的10个反向传播网络架构模型中,得到的最佳输出是9-2-1模式,epoch为8149,时间持续时间为17秒,训练时的MSE(错误率)值为2.80 e-05,测试时的MSE(错误率)为0.1248,准确率为87.5%。获得的最佳建筑预计将被印度尼西亚商业理工学院(PBI)用作预测学生成绩的图片。
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引用次数: 0
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Jurnal Teknik Informasi dan Komputer (Tekinkom)
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