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Silvia Rostianingsih
Program Studi Informatika

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Prediksi Retensi Customer Berdasarkan Support Vector Machine dengan Preprocessing Menggunakan Hadoop Giovanni Gabriela Gunadi; Silvia Rostianingsih; Andre Gunawan
Jurnal Infra Vol 8, No 2 (2020)
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Nowadays, many companies often offer a discount to customer. The goal is that the company can attract new customers. However, the offer given cannot be done randomly. Offers must be directed to the right customers so the company doesn’t need to spend much money. This study will analyze to determine whether there is an influence of the association rule on customer retention. The data used is the Acquire Valued Shopper Challenge taken from the Kaggle website. As the program used is java with the Hadoop framework that uses the association rule method. Tests carried out twice using different data. The objective to be achieved from testing is that the model created can predict customers who will retain if they get an offer. With the tests carried out, the best results to answer the objective is to use data in the second experiment with the ratio of training data to testing data is 7: 3 and gamma 0.1 with accuracy obtained is 58.21%.
Implementasi Accelerated Mobile Pages Untuk Sistem Informasi Manajemen Berbasis Web dan Absensi Pada Program Pendidikan Bahasa Universitas Kristen Petra Stephen Lukas Wijaya; Justinus Andjarwirawan; Silvia Rostianingsih
Jurnal Infra Vol 7, No 2 (2019)
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Management Information System has become one of the mediaused to facilitate the administration, storing and viewing dataquickly and easily through Web. Nowadays, manualadministration requires more and less efficient resources,causing human error to affect important data.To answer the issue, a management information system is neededby utilizing website-based technology , assisted by AcceleratedMobile pages on the main page .By utilizing this technology, awebsite can be easily opened even in a slow internet connection.In addition, the presence of the website as a media managementinformation system facilitates the management of data, theadministration process of all parties in need in the languagecourse.From the research and testing systems that have been made, theapplication can help facilitate the process of administration anddata management. From the results of the questionnaireconducted on 10 respondents, the level of satisfaction with theprogram reached 3.1 on a scale of 4.
Pengenalan Gambar Botol Plastik dan Kaleng Minuman Menggunakan Metode Convolutional Neural Network Regina Valentina; Silvia Rostianingsih; Alvin Nathaniel Tjondrowiguno
Jurnal Infra Vol 8, No 1 (2020)
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Plastic bottles and cans are anorganic waste that cannot be decomposed by bacteria naturally and take a long time decomposed. Until now, people awareness to care about the environment is still low. Even though waste sorting is very important before the waste recycling process. According to Kediri City Environment, Hygiene and Gardening Agency, waste such as plastic and cans require special treatment for the recycling process. Until now, the process of sorting waste is still done manually by humans. This process require a lot of energy, a long time and still cannot overcome the amount of the waste nowadays.This research uses Convolutional Neural Network (CNN) method for object recognition. There have been other research about the classification of plastic waste. Both of studies only use plastic waste as the object. There is no studies yet about cans waste. Therefore, this research will carried out an introduction to plastic bottles and cans waste.Based on the result of the study, the activation function that suits the case is ELU. While using four convolutional layers, four max pooling layers, and three fully connected layers in total. This study uses 0.00001 for the learning rate, 0.8 for the dropout rate, and 50 times epoch. The result from test that were done by using this CNN model architecture is an accuracy rate of 86%.
Perbandingan Performa Tools Web Scraping pada Website dengan Data Statis dan Dinamis Michael Levi; Henry Novianus Palit; Silvia Rostianingsih
Jurnal Infra Vol 8, No 2 (2020)
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Abstract

In scraping a website, the main concern is the type of website whether it is a static or dynamic website, and also the data structure of the website. With different website characteristics and diverse web scraping tools, it will make users quite difficult in choosing tools that suit their needs. The purpose of this research is to compare web scraping tools from different website characteristics, and to provide recommendations for web scraping tools for future research by knowing the right tools in handling each website's characteristics. Based on the results of tests that have been done, it can be concluded which tools are more effective and efficient in certain conditions.
Perancangan dan Pembuatan Sistem Informasi Administrasi Pada TK Anak Ceria Ginno Samuel Tangkas Soetedjo; Silvia Rostianingsih; Lily Puspa Dewi
Jurnal Infra Vol 2, No 1 (2014)
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Abstract

For years, TK Anak Ceria does not have a centralized and organized academic information system. The data is being kept in archives and this situation complicates the school to control the school’s work and quality, such as student’s grades data that are still kept in paper archives, unstructured student’s data, manually written cash flow transaction and others.Based on that problems, the solution is to make a design and implementation of web based school administration information system on TK Anak Ceria. The system will facilitate the arrangement and data storage for the school administration data, and the school’s finance. This administration information constructed using SQL Server 2005 and Visual Studio 2005.From the implementation and application setting, it can be concluded that the system is useful enough to be used as school administration information system. However, it also can be concluded that there is a lack of interface design in the report forms.
Pembuatan Sistem Informasi Administrasi Pada UD. Satu Saudara Plastik Kevin Yosi Putra Utama; Yulia Yulia; Silvia Rostianingsih
Jurnal Infra Vol 8, No 2 (2020)
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UD Satu Saudara Plastik is a home industry company that manufactures plastic goods. Examples of goods produced are wall clocks, bottle caps, motorcycle mirrors, plastic bottles, and push-steps on motorcycles. Before application development begins, an analysis and design with data flow diagrams and entity relation diagrams. This application is made with HTML, PHP, JavaScript, MySQL database, and Bootstrap. The application made includes customer order features, sales data, customer order status, raw material stock, raw material purchase. The final result of application development is that the application has a master data feature for raw materials, finished materials, positions, supporting, customers, orders, production requests, input costs, so as to produce customer order reports, income statements, raw material stock reports, reports of total orders, order payment report, revenue report. Based on testing, the system can carry out transaction activities such as sales transactions, and reporting activities for UD Satu Saudara Plastik. The results of the questionnaire show for the display application, more than 70% of respondents answered well. For ease of use of the application, 57% of respondents were satisfied. For the suitability of the application with the needs, 57% of respondents were satisfied and 12.5% very satistfied. For the result application is 87.5% of respondents were satisfied, and around 12.5% of respondents felt less satisfied.
Perbandingan dan Analisis Metode Artificial Neural Network dan SIRD pada Kasus Covid-19 di Surabaya Juan Felix Nyoto Santoso; Alexander Setiawan; Silvia Rostianingsih
Jurnal Infra Vol 9, No 1 (2021)
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Abstract

On March 2, 2020, President Joko Widodo's announcement regarding the COVID-19 virus has made its way to all of Indonesia, serving as a warning to the people. The virus continues to grow and spread its influence across cities, one of which is Surabaya. Surabaya attained the 'crimson zone' status on 2nd of June, 2020 due to the drastic increase of positive COVID-19 cases which tallies to 2748 people. The rapid pace at which COVID-19 spreads results in a high death rate.This research was done to try and prevent high casualty rates by predicting the need for health equipment, isolation rooms, medical personnel, and the need for personal protective equipment (PPE) for COVID-19 patients. There were two methods used for the sake of predicting, namely the Artificial Neural Network (ANN) and Susceptible Infectious Recovered Decease (SIRD) methods. The methods in question will have their accuracies tested using error measurement methods which include the Mean Absolute Deviation (MAD), Mean Square Error (MSE), and Mean Absolute Percentage Error (MAPE). After measurements have been made, the prediction results from these 2 methods will be utilized to calculate the needs for equipment, isolation rooms, medical personnel, and PPE needs based on the regulatory patterns owned by the S, N, and X hospitals. Based on the results of the website implementation analysis, the ANN method is shown to have average error rates of 53.1733 for training and 89.73 for testing based on the MAD method, 6581.09 for training and 22953.9067 for testing based on the MSE method, and 17.7367% for training and 16.3067% for testing based on the MAPE method. The SIRD method is shown to have average error rates of 309.81, 150496.08, and 30.2% for the MAD, MSE, and MAPE methods respectively.
Perancangan dan Pembuatan Sistem Informasi Akuntansi Berbasis Web pada Toko Konveksi Gracia Sprei Tulungagung Stefen Ongko Saputro; Silvia Rostianingsih
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

Until now Gracia sprei store still uses manual recording for  every store administration activity  like sales , purchases and the bookkeeping process. This make Gracia Store Owners think that their system still less efficient and looking for more effective recording methods.Looking at the source of the problems, a web based accounting information system was created to assist the recording process. This system was created using php language and MySQL database.The results obtained from this design process are record of the master data, record of transaction process, recording of production process, recording of the mutation , financial statements consisting of ledgers, balance sheets and journals
Aplikasi Sistem Informasi Administrasi Pada UD. Terang Jaya Abadi Indra Setiawan; Silvia Rostianingsih
Jurnal Infra Vol 8, No 1 (2020)
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Abstract

The proses of making this information system includes data on stock items that function to store data items. Sales transactions serves to help sales transactions to customers. Purchase transactions function to help purchase transactions with suppliers. Transaction sales and purchase returns function to help return items that are not appropriate. Transaction reports serve to make it easier for owners to review data.This information system is built using the PHP programming language, and the database uses MySQL.Based on testing, the system can carry out transaction activities such as sales transactions, purchase transactions, returns transactions and sales report activities of UD. Terang Jaya Abadi.
Aplikasi E-Patient Pada Klinik X Hilarius Andriano Sengyang; Yulia Yulia; Silvia Rostianingsih
Jurnal Infra Vol 8, No 2 (2020)
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Currently X Clinic has many patients, it causes ineffective service to patients, where there are a lot of queues without any clarity of the estimated queue waiting time. Besides, most of the activities in the clinic such as medical records, laboratory requests, and prescriptions are still done manually so that is increases the risk of being scattered.Looking the background of the problem, an application designed to handle patient queues equipped with the sms gateway feature to give information about queue registration. The application is created with Node.js and React.js.The results obtained from this application include handling patient queues, with estimated queue waiting time via SMS gateway, recording master data including medical records, laboratories, and prescriptions.