Article Per Year (5 Year)
p-Index From 2021 - 2026
1.897
P-Index
This Author published in this journals
All Journal Jurnal Infra
Alexander Setiawan
Program studi Teknik Informatika, Universitas Kristen Petra surabaya
Computer Science & IT

Published : 14 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 14 Documents
Search

 1   2 
Prediksi Harga Saham Yang Bersifat Siklikal Di Indonesia Menggunakan Metode LSTM dan SVM Gabriel Adisurya Harsono; Alexander Setiawan; Hans Juwiantho
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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

Abstract

Stock Market prediction is not an easy task, eventhou using technical analysis. Technical analysis is a technique that can predict stock market price. But using this technique is not an easy task, hence there is a change of mistake in analyzing the stoks that create losses for investors and traders. This is where machine learning and deep learning are able to predict a stock that have cyclical behavior. Cyclical stocks have patterns that other stocks do not have, where machine learning and deep learning model are able to catch and learn the pattern on cyclical stocks and predict the stock prices. The prediction are used to give recommandation for the users when to but or when to sell stocks, but it also able to give recommandation and show stock prices a year in the future. In this Undergraduatae Thesis will be used five methode and two type of data, this include LSTM, Bi-LSTM, GRU, SARIMAX, and SVR, the data contains multivariate and univariate type of data. Multivariate data will contain the stock prices, Jakarta composite index, and the support data close prices. The result of prediction will be compared with the existing data using RMSE then compare the result with all existing model. In the proses of the undergraduate thesis, every parameters in the model will be searched using GridsearchCV and the best parameter for each models. From this research found 1 best metode for multivariate prediction and one for univariate. for multivariate the best parameter for the prediction is LSTM where the RMSE value is 63.67 training and 74.82 for testing. For univariate prediction the best metode is SVR where the RMSE value is 58.04 for training and 75.29 for testing.
Aplikasi Sistem Informasi Praktikum pada Program Studi Informatika Universitas Kristen Petra Berbasis Website Cynthia Budiono; Lily Puspa Dewi; Alexander Setiawan
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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

Abstract

Presently, Petra Christian University informatics study program use SAOCP for laboratory activities problems. But there are drawbacks that can be minimized. Recruitment, assessments, attendance using Microsoft Excel for every data collection carried out. The person in charge of the practicum schedule often experiences confusion in setting the schedule. The current system also reads the NRP by using the old NRP format which is start with M alphabet. Based on these problems, it is necessary to have an application that can answer problems in the informatics study program. This system is created using PHP with the CodeIgniter 3 framework as the main basis, and SQL for the database. In this information system, the user has six different types of access right, namely admin, lecturer, head of the laboratory, permanent assistant, lecturer assistant, and student. The final result of this application is the integration of information such as vacancies, ratings, attendance, and reports. Based on the results of the existing questionnaire, 100% of the correspondents considered that the features made in this application were sufficient in accordance with the needs of the company.
Aplikasi Monitoring Pada Tanaman Aglaonema menggunakan IOT Liyyin Putra Arif Wicaksana; Alexander Setiawan; Resmana Lim
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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

Abstract

Aglaonema plants are quite difficult to cultivate because the keeper must know what Aglaonema plants need in order to thrive and be beautiful. Aglaonema plants have high sensitivity to roots and stems, as well as leaves. Aglaonema plants require a soil moisture level that is not too moist and not too dry, a soil pH of 6-7, and a placement that is not exposed to direct sunlight. The solution is made by utilizing advanced technology which makes an application that can monitor and maintain the fertility of soil conditions on the Aglaonema plant on a mobile basis and use IOT as a sensor tool to retrieve data which will later be sent to the android application. The trial was carried out by using 2 aglaonema plants to be treated simultaneously. Plant 1 will be treated by volunteers who have just touched Aglaonema so that it provides care like other plants in general, plant 2 will be treated using a monitoring application, trials are also carried out by adjusting the data obtained from aglaonema experts. From the test results, it was found that the effectiveness of the application in monitoring Aglaonema plants has an accuracy rate of 100%.
Sistem Tracking Pengiriman Barang Pada PT. Afro Angkasa Express Dengan Menggunakan Framework Laravel 8 Michael Yohanes Wicaksono; Alexander Setiawan; Kartika Gunadi
Jurnal Infra Vol 10, No 2 (2022)
Publisher : Universitas Kristen Petra

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

Abstract

In this era of globalization, it is increasingly common for people to shop and sell their goods online. So that more and more shipping companies are there. With the increasing number of existing freight forwarding companies, PT Afro Angkasa Express must offer convenience and features to attract customers. The design of this goods delivery tracking system is intended to make it easier for PT Afro Angkasa Express customers to track goods. In addition, customers can place orders more easily through the website. Customers will also be provided with features such as on-site pick-up, so that PT Afro Angkasa Express will become one of the community's mainstays for goods delivery solutions. The Laravel 8 framework has advantages compared to other frameworks such as the Templating Engine feature that can design unique layouts and also reduce the impact of XSS (Cross Side Scripting) attacks.
Co-Authors Agustinus Noertjahyana Aldo Kurnia Christianto Alvin Putra Wong Andreas Handojo Christian Natanael Sugiharto Cynthia Budiono Djoni Haryadi Setiabudi Dwiki Noviandra Kristanto Elisa Kevin Giovanni Gabriel Adisurya Harsono Hans Juwiantho I Gede Agus Widyadana Jeshen Oktavian Nathanel Kartika Gunadi Kenny Nugraha Lily Puspa Dewi Liyyin Putra Arif Wicaksana Michael Yohanes Wicaksono Nalom Aholiab Sinaga Resmana Lim Resmana Lim Richard Alexander Silvia Rostianingsih Winsen Winsen