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Hapnes Toba
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JuTISI (Jurnal Teknik Informatika dan Sistem Informasi)
Published by Universitas Kristen Maranatha
ISSN : 24432210     EISSN : 24432229     DOI : https://doi.org/10.28932/jutisi
Core Subject : Science,
Computer Science & IT
Paper topics that can be included in JuTISI are as follows, but are not limited to: • Artificial Intelligence • Business Intelligence • Cloud & Grid Computing • Computer Networking & Security • Data Analytics • Datawarehouse & Datamining • Decision Support System • E-Systems (E-Gov, E-Health, E-Commerce, etc.) • Enterprise System (SCM, ERP, CRM) • Human-Computer Interaction • Image Processing • Information Retrieval • Information System • Information System Audit • Enterprise Architecture • Knowledge Management • Machine Learning • Mobile Computing & Application • Multimedia System • Open Source System & Technology • Semantic Web & Web 2.0
Arjuna Subject : Ilmu Komputer (semua kategori) - Aplikasi Ilmu Komputer
Articles 14 Documents
 1   2 
Search results for , issue "Vol 5 No 3 (2019): JuTISI" : 14 Documents clear
Aplikasi Penjualan Tiket Kelas Pelatihan Berbasis Mobile menggunakan Flutter Filian Enggar Krisnada; Radius Tanone
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 3 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i3.1865

Abstract

Abstract — Pincher is an online platform that is useful for assisting in finding and registering for training classes aimed at facilitating users who want to find their identity and channel their talents and inspirations creatively. This pincher application provides information and distributes training classes by selling class tickets. In its development as an online platform, Pincher still uses the website as a means of distributing training classes owned by Pincher, so this tool is less effective and efficient for users because the Pincher website is too complicated to access using a mobile phone or smartphone. Therefore, to help users access the Pincher application using their mobile phones, Pincher applications are made in a simple form that is applied to mobile applications. In addition, Pincher also does not have a feature that can make it easier for customers to determine the class to be chosen. Therefore this mobile application will be equipped with a system that can make it easier for users to choose attractive classes for customers, namely with a recommendation system. Keywords— Ticket Selling Application, Flutter, Mobile Application, Recommendation System.
IMPLEMENTASI BALANCE SCORECARD DALAM DASHBOARD KINERJA SUPPLIER. STUDI KASUS: ONLINE TRAVEL AGENT Niko Ibrahim; Andre Christian
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 3 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i3.1886

Abstract

Tujuan dari penelitian adalah mengembangkan dashboard kinerja supplier untuk kebutuhan online travel agent (OTA). Dashboard kinerja adalah aplikasi sistem informasi yang menyajikan tampilan visual dari informasi penting, yang diperlukan untuk mencapai satu atau beberapa tujuan, dengan mengkonsolidasikan dan mengatur informasi dalam satu layar (single screen), sehingga kinerja organisasi dapat dimonitor dalam sekali waktu. Klikhotel.com sebagai sebuah perusahaan online travel agent yang memiliki lebih dari 2000 supplier membutuhkan dashboard kinerja supplier berdasarkan metode balanced scorecard untuk memudahkan analisa kinerja supplier secara cepat dan akurat. Target diharapkan adalah dashboard bisa menggerakkan semua personil perusahaan untuk bekerja secara sinergis mencapai target perusahaan. Selain itu, sistem ini juga diharapkan dapat meningkatkan kepuasan supplier, sebagai partner penting dari OTA.
Sistem Pencatatan Data Penggunaan Air Berbasis Smartphone Android Heri Andrianto; Kemal Hafidzar
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 3 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i3.1901

Abstract

Currently, the recording of water usage is still done manually. A more practical and efficient recording system for water usage is needed. In this paper, a water meter data logger system has been designed. This system consists of a water meter device and a smartphone application. Communication between the water meter device and smartphone via a Wireless Fidelity (WiFi) connection. The water meter device uses the Wemos D1 Mini Module as a controller and flow sensor to find out the amount of water used. Data received by the smartphone from the water meter device will be processed and entered into the smartphone database (SQLite). From the test results, the water meter device can calculate water usage with an average error of 0.2957. Water usage data can be stored in a database on a smartphone. The distance of the wireless connection range between the water meter device and the smartphone is 37 meters without a barrier and 16 meters with a barrier.
Implementation of Securing Data in the Cloud using Combined Cryptography and Steganography Rosalina Rosalina; Nur Hadisukmana
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 3 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i3.1922

Abstract

The recent advance in information technology field forcing us to ensure the privacy of the digital data. It is very important to develop the method that may satisfy the needs. Many methods/techniques applied to reach that goal. One of efficient way to reach that secrecy can be achieved with implementing steganography. TheStego application is using Steganography to work in the digital domain and hides the data information within speech signal. To increase the security, TheStego combines steganography techniques with MD5 encryption techniques. Steganography techniques that applied in TheStego application is using LSB (Least Significant Byte) method. This application have three main features: hide text in an audio carrier, hide image within the audio and an audio inside a wave signal of an audio carrier. TheStego also required the user to enter password before the processing of data hiding begin. The password will act as decryption password. Such approach is implemented to increase the security of this application. So, only the one who knows the password that can extract and decrypt the data inside of the application.
Pengenalan Alfabet American Sign Language Menggunakan K-Nearest Neighbors Dengan Ekstraksi Fitur Histogram Of Oriented Gradients Muhammad Ezar Al Rivan; Hafiz Irsyad; Kevin Kevin; Arta Tri Narta
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 3 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i3.1936

Abstract

Sign Language use to communicate to people with dissabilities. American Sign Language (ASL) one of popular sign language. Histogram of Oriented Gradient (HOG) can be use as feature extraction. Then feature stored in database. K-Nearest Neighbor use to measure distance between feature train and feature test. There are three distance use in this paper consist of Euclidean Distance, Manhattan Distance and Chebychev Distance. The best result are 0,99 when using Euclidean Distance and Manhattan Distance with k=3 dan k=5
Penggunaan Algoritma Clustering K-means Untuk Melihat Daerah-Daerah Penyuplai Mahasiswa Di Universitas Kristen Satya Wacana, Salatiga. Rivort Pormes; Daniel H. F. Manongga
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 3 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i3.1968

Abstract

The use of k-means algorithm in student supply process is done to see students supply tendency in each region who study at satya wacana christian university (SWCU). This data processing with k-meansis useful for extracting information and knowledge from students data at SWCU. With data mining processing, the stakeholders at SWCU can take strategic steps for the penetration process in regions with potential student supply indication. The use of k-meansalgorithms facilitates the process of data analysis as well as grouping on student data during a 5-year period. The aim of this study is to provide on target strategic picture for regions which potentially have a significant impact on students supply each year.
Ekstraksi dan Analisis Produk di Marketplace Secara Otomatis dengan Memanfaatkan Teknologi Web Crawling Ivan Nathaniel Husada; Edward Hanafi Fernando; Hetthroh Sagala; Ariel Elbert Budiman; Hapnes Toba
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 3 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i3.1977

Abstract

Along with the advancement in technology, todays community begins to abandon conventional shopping methods where buyers must come to the seller's shop. Nowadays community mostly doing online shopping because the process is considered more convenience. Because of this, there are more and more online marketplace users. Much more data can be retrieved with the increasing number of online marketplace users. Because of the large amount of data the process for extracting the data so that it can be seen and utilized becomes possible. The purpose of this journal is to show data and extraction method from an online marketplace system so that the results can be visualized and users can analyze the data. The data extraction method that will be used is the web crawling method and web scraping where after the data is successfully extracted and cleaned it will be visualized with the power BI application. The experiments show that the method is useful to conduct analysis.
Penerapan Speeded-Up Robust Feature pada Random Forest Untuk Klasifikasi Motif Songket Palembang Yohannes Yohannes; Siska Devella; Ade Hendri Pandrean
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 3 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i3.1978

Abstract

Songket is a historical heritage in the city of Palembang. Where Songket has many different types and motifs. Besides having historical value, Palembang's original Songket has high quality and complexity in the manufacturing process. As known Palembang Songket has a lot of motives, one of the ways to recognize Palembang Songket is through its motives, so that research was conducted for the classification of Palembang Songket motifs. The method used to extract features is the Speeded-Up Robust Feature (SURF), while the classification method is Random Forest. The process of forming the SURF feature is divided into two stages, the first stage is Interest Point Detection, which consists of Integral Images, Hessian Matrix Based Interest Points, Scale Space Representation and Interest Point Localization, the second stage of Interest Point Description consists of Orientation Assignment and Descriptor Based on Sum Haar Wavelet Responses. The resulting feature is used for the Random Forest classification. This study used 345 images of Palembang Songket motifs, among others, Bunga Cina, Cantik Manis and Pulir. The images taken are based on 5 colors from each Palembang Songket motif. For the separation of data there are 300 images used as data train and 45 images for testing data. From the tests that have been done the results of the overall overall accuracy are 68.89%, per class accuracy 79.26%, precision 69.27, and recall 68.89%.
Evaluasi Deteksi Smell Code dan Anti Pattern pada Aplikasi Berbasis Java Sendy Ferdian Sujadi
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 3 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i3.1981

Abstract

This paper presents an evaluation result of smell code and anti pattern detection in java based application development. The main objective to be achieved in this research is to determine the proper way in the detection of smell code and anti pattern in the development of java based software, and to evaluate the impact of using code inspection tools and software metrics to refactoring code in java based software development. Smell code to be detected in this research is Long Parameter List, Large Class, Lazy Class, Feature Envy, Long Method, and Dead Code. Anti pattern that will be detected is The Blob / God Class and Lava Flow. The selection of smell code and anti pattern is based on the definition, characteristics, detection factor, and software metrics. To support the research process is done through the evaluation stage of a case study java based application as a sample for inspection of code for the detection of smell code and anti pattern and calculation software metrics. Case studies of selected applications as sample applications are E-Commerce applications with functional master data management of goods and customers as well as management of sales and payment transactions. The detection of the smell code and anti-pattern on the case study is done in stages so it can be determined whether or not to refact. As well as ensuring the technique of making the program better fit the characteristics and rules of object-oriented programming.
Sistem Perbaikan Kata Tidak Baku Bahasa Indonesia Menggunakan Metode Crowdsourcing Danny Sebastian; Kristian Adi Nugraha
Jurnal Teknik Informatika dan Sistem Informasi Vol 5 No 3 (2019): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v5i3.1983

Abstract

Most languages have two form of words: standard and not-standard. Standard words usually used in formal conversation, while not-standard words used in informal conversation. The massive use of non-standard words in the text-based communication through social media application causing a new problem for its text-processing features such as language translator or artificial intelligence (AI) conversation program (chatbots). Our research purpose is to create a system that can convert any non-standard Indonesian word into standard Indonesian word using crowdsourcing method, a community-based method to create database that contain non-standard Indonesian words and its associated standard words. We hope this system can help people who working on text-mining based application, especially in Indonesian words, to improve their performance in text-processing.

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