cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota surabaya,
Jawa timur
INDONESIA
Jurnal Infra
Published by Universitas Kristen Petra Surabaya
ISSN : -     EISSN : -     DOI : -
Core Subject : Science,
Computer Science & IT
Arjuna Subject : -
Articles 38 Documents
 1   2   3   4 
Search results for , issue "Vol 8, No 2 (2020)" : 38 Documents clear
Aplikasi E-Patient Pada Klinik X Hilarius Andriano Sengyang; Yulia Yulia; Silvia Rostianingsih
Jurnal Infra Vol 8, No 2 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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.
Sistem Monitoring Tinggi Air di Tandon Menggunakan Arduino dan Mobile Apps Andy Nugraha; Djoni Haryadi Setiabudi; Handry Khoswanto
Jurnal Infra Vol 8, No 2 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The procedure for inspection of storage tank water levels which is still applied today has several disadvantages. One of them is the storage tank, which is often located on the roof of the house making it difficult to monitor storage tank water level. The solution to that problem includes monitoring water using a resistance wire. However, if you use a resistance wire compounds found in water can affect its value. In addition, it can also use ultrasonic sensors, because ultrasonic sensors are able to measure water levels with an average measurement error of 4.93%. This is what triggers the creation of an Android-based mobile application that is equipped with Arduino and its components to be able to monitor water level in storage tank. The Arduino device is mounted on the top of the storage tank and the HCSR04 ultrasonic sensor is facing the inside of the storage tank. The HC-SR04 ultrasonic sensor will work to calculate the water level in the storage tank, and the calculation results from the sensor will be forwarded to the mobile application via internet network. From the use of the application, the results can be shown in realtime water level with percentage and 2D images on the mobile application with good results, the percentage of compatibility between the results of manual measurement with the application is 80%. In addition, the application can provide notifications in the form of Push Notification that appears when the water level has reached the upper or lower limit.
Penerapan Random Forest dalam Email Filtering untuk Mendeteksi spam Billy Christanto; Djoni Haryadi Setiabudi
Jurnal Infra Vol 8, No 2 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Email became an integral part of the internet experience. As users increase, marketing via email also became more popular. These emails often annoy users, hence the name “spam”. Because of its excessive number, the need to separate important messages from unimportant ones emerges. Up until this point, there’s no optimal solution to this problem. Among the methods being used, machine learning based solutions show the most promising results.  The method being tested is Random Forest, which is often regarded as superior compared to Naïve Bayesian, a popular algorithm for email filtering. Both of the algorithms are to be subjected to tests and compared for their accuracy, recall and precision. The effects of pre-processing and stemming to the dataset will also be tested. This research shows that both models produce similar accuracy, recall and precision that reach 96% for each category. Tests also show that Random Forest needs around  80 times more time to train it’s model compared to Naive Bayesian so it became not suitable for email filtering purposes
Pembuatan Sistem Informasi Administrasi Pada UD. Satu Saudara Plastik Kevin Yosi Putra Utama; Yulia Yulia; Silvia Rostianingsih
Jurnal Infra Vol 8, No 2 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

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.
Deteksi Alat Pelindung Diri Menggunakan Metode YOLO dan Faster R-CNN Jonathan Adiwibowo; Kartika Gunadi; Endang Setyati
Jurnal Infra Vol 8, No 2 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In order to ensure security and safety measures in industrial zones or any other areas that needed to use personal protective equipment are an important matter. Many workers keep disregarding and violating the rule to use personal protective equipment in the area. Therefore, a program was created that could help supervising the workers to use personal protective equipment. In this study an experiment will be conducted to help recognize the characteristics of personal protective equipment, especially in head. In recent studies that have been carried out Rifki Dita Wahyu Pradana, et. Al. using CNN to produce an overall accuracy 80%. This study will be using 2 methods, You Only Look Once and Faster Region-Convolutional Neural Network (Faster R-CNN). The YOLO method is used to find regions of worker’s head while Faster R-CNN method is used to classify personal protective equipment used by worker. The results of the Faster R-CNN classification will be calculated using a confusion matrix in order to get the accuracy of the correct prediction. The results from this study will identify workers using personal protective equipment in the video. Average accuracy that has been obtained is 93.61%.
Evaluasi Kinerja Penggabungan Knowledge Graph Embedded-Based Question Answering dan TransP pada Data Freebase Fransisco Remon Liemena; Henry Novianus Palit; Alvin Nathaniel Tjondrowiguno
Jurnal Infra Vol 8, No 2 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In the past few years, data storage and analysis using graph keep increasing. One of the implementation of this is knowledge graph. There are many methods proposed on information extraction from knowledge graph, one of them is natural language question answering. However, all of the researches around question answering use direct query to find the answer. Knowledge Graph Embedding-based Question Answering (KEQA) is the latest method that implements deep learning and embedding to answer questions. Experiments demonstrate that KEQA outperforms other question answering methods. Despite having high accuracy, KEQA still uses simple and outdated embedding method.Knowledge graph embedding is one of the method for knowledge graph representation where the entities and relations are represented in vector (embedding) using deep learning. Many proposed embedding methods do not really consider the depth of a knowledge graph. TransP is a proposed method that consider the indirect relationship to represent a knowledge graph. Experimental results show that TransP outperforms other embedding methods in the task given. Based on this, KEQA will be built using TransP with the expectation that the accuracy of KEQA will increase.Based on the result of the experiment, TransP achieves Mean Rank of 5.390,25 and HIT10 of 28,5%. After that, KEQA with embedding can achieve up to 88,89% accuracy, and KEQA without embedding can achieve up to 88,89% accuracy. Experiment also shows that scoring parameters value with affect KEQA with embedding. In conclusion, TransP can increase the accuracy of KEQA.
Implementasi Distributed Database Pada Learning Management System Menggunakan Platform Redhat Openshift Bryant Plaudo Santoso; Agustinus Noertjahyana; Justinus Andjarwirawan
Jurnal Infra Vol 8, No 2 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The use of technology now has begun to spread to the world of education. One of them is the use of E-Learning. In a learning management system, instructors can give assignments, materials, tests, or quizzes to students. But if many people access it, it can cause problems on the server. If the server goes down during an exam, it will be a serious problem because students will not be able to access the server. To overcome this, we need several web servers that are ready to serve users so that computing is not only focused on a web server. This research will test the implementation of distributed database on learning management system. The application will run on Openshift. Distributed databases will use MySQL Cluster by using sharding method that can make data into multiple partitions and stored on multiple database servers. With the implementation of distributed database, it is expected to increase the availability of applications. So when there is a database server down, the application can still be run properly. In addition, this can also minimize the database server to be overloaded because it is accessed by many users.
Aplikasi Monitoring Kesuburan Tanaman Hias Mawar menggunakan Arduino Valerie Caroline Alverina; Leo Willyanto Santoso; Handry Khoswanto
Jurnal Infra Vol 8, No 2 (2020)
Publisher : Jurnal Infra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Society in general uses plants as decoration for all types of places such as hotels, restaurants, to residential homes. But each plant needs its own care so that plants can last long. One of the plants commonly used as decoration is the rose plant. Sometimes people are overwhelmed in caring for roses such as forgetting to water plants, watering for rose plants is lacking or excessive. Many studies have used Arduino to monitor rose plants but cannot be controlled mobile.The use of smartphones is now also increasing in the community, it will greatly facilitate the user if monitoring of plants can be done on smartphones. The plant watering system uses Arduino which is connected to the internet and the Blynk server. By using the Blynk server, you can connect Arduino with a smartphone, making it easier for users to control and monitor rose plants such as watering and fertilizing as well as seeing the condition of roses from a distance and can help the growth of roses. The result of this study are the system can treat and monitor roses according to parameter, which is soil moisture 70% - 80%, fertilizing, monitoring temperature 18 ºC - 26ºC and soil pH 5.5 - 7.0.

Page 4 of 4 | Total Record : 38

 1   2   3   4 

Filter by Year

2020 2020


Reset
Filter By Issues
All Issue Vol 10, No 2 (2022) Vol 10, No 1 (2022) Vol 9, No 2 (2021) Vol 9, No 1 (2021) Vol 8, No 2 (2020) Vol 8, No 1 (2020) Vol 7, No 2 (2019) Vol 7, No 1 (2019) Vol 6, No 2 (2018) Vol 6, No 2 (2018) Vol 6, No 1 (2018) Vol 5, No 2 (2017) Vol 5, No 1 (2017) Vol 4, No 2 (2016) Vol 4, No 1 (2016) Vol 4, No 1 (2016) Vol 3, No 2 (2015) Vol 3, No 2 (2015) Vol 3, No 1 (2015) Vol 3, No 1 (2015) Vol 2, No 2 (2014) Vol 2, No 2 (2014) Vol 2, No 1 (2014) Vol 2, No 1 (2014) Vol 1, No 2 (2013) Vol 1, No 2 (2013) Vol 1, No 1 (2013) Vol 1, No 1 (2013) More Issue