cover
Contact Name
NUNIK PRATIWI
Contact Email
npratiwi@uhamka.ac.id
Phone
+6287808760615
Journal Mail Official
jutikom@uhamka.ac.id
Editorial Address
JL. TANAH MERDEKA NO.6, KP. RAMBUTAN, CIRACAS, JAKARTA TIMUR
Location
Kota adm. jakarta timur,
Dki jakarta
INDONESIA
JURNAL TEKNIK INFORMATIKA DAN KOMPUTER
ISSN : -     EISSN : 28290208     DOI : https://doi.org/10.22236/jutikom.v2i1
Core Subject : Science,
Jurnal Teknik Informatika dan Komputer (JUTIKOM) is a national forum for scientists and engineers involved in all aspects of informatic engineering and computer science to publish high quality and refereed papers. Topics covered by Jurnal Teknik Informatika dan Komputer include but are not limited to: Computer Vision Computer Network Security Natural Language Processing Computer Architecture and Systems Artificial Intelligence and Pattern Recognition Computer Networks and Distributed Computing Computer Graphics and Multimedia Software Systems Data Management and Data Mining
Articles 35 Documents
Perencanaan Aplikasi Berbasis Website Penjualan Online Toko Pakaian Menggunakan ReactJS: Zakie Nurfaiz Ramadhan; Imanda, Rahmi
Jurnal Teknik Informatika dan Komputer Vol. 4 No. 2 (2025): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v4i2.16018

Abstract

 Technological advancements have transformed shopping patterns from conventional to online, yetmany businesses still lack an effective e-commerce platform. This research aims to develop awebsite-based e-commerce system for clothing stores using ReactJS. The system developmentemploys the Waterfall method with stages of design, implementation, and testing. The design utilizesUse Case Diagrams and Sequence Diagrams, while testing is conducted using Black Box Testingmethodology. The result of this research is an e-commerce platform that simplifies transactions,product management, and customer management, thereby increasing business efficiency and digitalmarket reach effectively and efficiently. This platform also provides customers with a moreconvenient and faster online shopping experience.
ANALISIS PERBEDAAN PENDAPAT WARGANET INDONESIA DAN INTERNASIONAL TERKAIT AKSI BOIKOT PRODUK PENDUKUNG ISRAEL Nugroho, Adityo Fajar; Avorizano, Arry
Jurnal Teknik Informatika dan Komputer Vol. 4 No. 2 (2025): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v4i2.18336

Abstract

The conflict between Israel and Palestine is now in the global spotlight. Because a number of company products openly donate money and goods to Israel. This has made people angry at Israel and the products that support it, thus calling for a boycott of products supporting Israel on social media. Therefore, researchers conducted sentiment analysis related to the boycott of products supporting Israel from social media X and YouTube using the Naïve Bayes algorithm with its three models, namely Multinomial, Bernoulli, and Gaussian on Indonesian and international citizens. As a result, the international dataset obtained a positive sentiment value of 79.79% with 600 data supporting the boycott, while the negative class obtained 20.21% with 152 data rejecting the boycott. Then the Indonesian dataset has a positive sentiment value of 51.78% with 1312 data supporting the boycott, while in the negative class 48.22% is obtained with 1222 data rejecting the boycott. So, in Indonesia and other countries, the majority of netizens call for a boycott of products supporting Israel through social media platforms X and YouTube. When evaluating the model, the BernoulliNB model obtained the highest accuracy value on both datasets. On the Indonesian dataset, BernoulliNB achieved an accuracy value of up to 89%. Then on the international dataset, it gets an accuracy value of 76%.
IMPLEMENTASI SERVER CLOUD STORAGE MENGGUNAKAN SFTPGO, DOCKER, DAN CLOUDFLARE TUNNEL Bahalwan, Zen Aufa; Febriawan, Dimas
Jurnal Teknik Informatika dan Komputer Vol. 4 No. 2 (2025): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v4i2.18610

Abstract

The implementation of a cloud storage server based on SFTPGo allows users to access and manage file storage via WebGUI and SFTP clients. This study aims to develop a secure and easily accessible cloud storage system using Docker and Cloudflare Tunnel technology. The system is implemented on a Linux-based server and tested in various scenarios to ensure the reliability of WebGUI access and connectivity via the SFTP protocol. The implementation results show that the combination of SFTPGo, Docker, and Cloudflare Tunnel provides a flexible and secure storage environment. With this mechanism, users can upload and download files using predefined credentials, while ensuring that SFTP access is only possible through Cloudflare Tunnel, enhancing system security.
Penerapan Internet of Things pada Sistem Monitoring Suhu dan Kelembaban Ruang Server Menggunakan Node MCU ESP 8266 Kristiawan, Agus; Tarigan, Masmur
Jurnal Teknik Informatika dan Komputer Vol. 4 No. 2 (2025): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v4i2.20496

Abstract

A server is a room used to store computer equipment. Currently, at PT SIK, the server room only uses a thermo controller to display the actual temperature inside the server room, and it is only installed within the room, making it impossible to monitor directly. Another issue is that the Air Conditioner in the server room turns off suddenly, causing the temperature to rise. Additionally, the server room administrator works 24/7 and cannot anticipate any possible failures in the server room's Air Conditioner. The researcher will attempt to collect, record, and process data on the server room temperature using a DHT22 temperature and humidity sensor connected to a NodeMCU ESP8266 microcontroller, which is connected to the internet and can send real-time notifications to the server room administrator. On the smartphone side, the Blynk application is used to view temperature and humidity graphs and to receive notifications when there is an abnormal condition in the server room.
ANALISIS SENTIMEN TERHADAP ULASAN PENGGUNAAN SHOPEE MELALUI TWEET PADA TWITTER MENGGUNAKAN ALGORITMA NAÏVE BAYES Muflih, Hilmy Zhafran; Al Assyam, Hafizh Dhery; Pangestu, Faisal Akbar; Kamayani, Mia
Jurnal Teknik Informatika dan Komputer Vol. 2 No. 2 (2023): Jurnal Teknik Informatika dan Komputer
Publisher : Universitas Muhammadiyah Prof. DR. HAMKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/jutikom.v2i2.12199

Abstract

The increasing use of the internet among the public is because it is a means to carry out various activities, one of which is buying and selling online or known as e-commerce. One of the largest e-commerce in Indonesia is Shopee. Shopee offers various features for its users. The large number of shopee users results in the large number of responses given to shopee, so the researcher wants to carry out a sentiment analysis process regarding user responses to shopee, whether the response of shopee users is negative or positive. The responses or opinions of Shopee users are taken from tweets in the Twitter application. Tweets typed and written and published by Twitter users about shopee. In this study, researchers used the RapidMiner application to collect tweets data from Twitter users and to apply the Naïve Bayes algorithm. The researcher collected 200 data regarding shopee from Twitter. The results obtained from sentiment analysis using the Naïve Bayes algorithm get 78% negative sentiment and 22% positive sentiment from 200 datasets. The process of testing the Naïve Bayes algorithm using the confusion matrix obtains an accuracy value of 77.50%.

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