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Jurnal Teknologi Terpadu
Published by STT Terpadu Nurul Fikri
ISSN : 24770043     EISSN : 24607908     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Engineering
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 266 Documents
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Analisis Sentimen dan Emosi Vaksin Sinovac pada Twitter menggunakan Naïve Bayes dan Valence Shifter Bagus Muhammad Akbar; Ahmad Taufiq Akbar; Rochmat Husaini
Jurnal Teknologi Terpadu Vol. 7 No. 2: December, 2021
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v7i2.433

Abstract

The Sinovac vaccine is among the Covid-19 news in the world in early 2021. That information has led to public responses between the pros and cons. Through Twitter media, the public responds to the issue of the Sinovac; therefore, their opinions on Twitter can analyze to count the percentage of sentiment and emotion towards the Sinovac. This analysis hopes to provide a wise and objective reference, although the pros and cons information is still emerging. This study uses Rstudio for sentiment analysis through Twitter opinion classification using Naïve Bayes and the Valence Shifter Lexicon method to analyze emotions, also using the Naïve Bayes. The Data is 2000 English-language Twitter comments limited to the latest and most popular tweet based on the Sinovac keyword since February 1, 2021, from all Twitter users worldwide. The results showed that Naïve Bayes recognized 1433 (71.65%) positive sentiments, 403 (20.15%) negative sentiments, and 164 (8.2%) neutral sentiments. Meanwhile, Valence Shifter Lexicon recognized 903 (45.15%) positive sentiment, 437 (21.85%) negative sentiment, and 660 (33%) neutral sentiments. The Naïve Bayes also succeeded in recognizing emotions with the highest number 1727 (86.35%) mixed emotions and 141 (7.05%) joy emotion.
Penerapan Computer Vision Menggunakan Metode Deep Learning pada Perspektif Generasi Ulul Albab Arifin, Imamul; Haidi, Reydiko Fakhran; Dzalhaqi, Muhammad
Jurnal Teknologi Terpadu Vol. 7 No. 2: December, 2021
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v7i2.436

Abstract

Machine learning is one of the applications of artificial intelligence. The use of machine learning in computer vision is closely related to deep learning where computer scientists get inspiration about deep learning technology from the environment. The purpose of the research in this manuscript is to know and understand deep learning technology along with simple examples in processing image objects and to know and understand artificial intelligence technology from the perspective of the ulul albab generation so that it can provide comprehensive benefits for the world. The research conducted in this paper is a type of qualitative research with library research using various books and other reading literature such as journals and special websites so as to produce information on the topic under study. Artificial intelligence technology will always develop and lead to increasingly sophisticated directions, but technology also has a negative impact. The Ulul Albab generation must be able to struggle to have a positive impact on society because the Ulul Albab generation is the hope for the progress of Islamic civilization in various sectors of science and technology.
Pengembangan Absensi berbasis Mobile Aplikasi pada Badan Kepegawaian dan Pengembangan Sumber Daya Manusia Kabupaten Bone Syahrul Usman; Jeffry Jeffry; Firman Aziz
Jurnal Teknologi Terpadu Vol. 7 No. 2: December, 2021
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v7i2.437

Abstract

Since being designated a global pandemic by the world health agency (WHO), the Corona Virus Disease (Covid-19) outbreak has become a scourge worldwide; various standard transmission control procedures have been set by WHO to break the chain of transmission.  Bone District Government through the Circular of the Regional Secretary No. 800/1919/VI/BKPSDM/2020 dated June 4, 2020, regarding the work system of State Civil Apparatus Employees (ASN) in the new standard order regulates employee attendance using manual attendance and not using fingerprint attendance machines, and this will undoubtedly affect the recording of the performance of each ASN where the attendance data is already connected to the e-performance application that is applied to the Bone district. The purpose of this research is to create an online attendance application based on Android Mobile to be an alternative way of being absent by using the data communication method using the Representational State Transfer (Rest) web service architecture and utilizing the HTTP protocol with JavaScript Object Notation (JSON) format and the Java programming language as a language. Mobile Application programming. The results of this study are a mobile-based attendance application that has been tested for web service performance using the Apache JMeter application to ensure this application is ready to be used simultaneously by many ASN.
Sistem Pengenalan Benih Padi menggunakan Metode Light Convolutional Neural Network pada Raspberry PI 4 B Hermawan, Indra; Arnaldy , Defiana; Agustin, Maria; Widyono, M. Farishanif; Nathanael, David; Mulyani, Meutia Tri
Jurnal Teknologi Terpadu Vol. 7 No. 2: December, 2021
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v7i2.443

Abstract

Recently, Deep learning methods with Convolutional Neural Networks (CNNs) have been widely used for image classification tasks. CNN has an unrivaled advantage in extracting discriminatory image features. However, many existing CNN-based methods are designed to go deeper and more significant with more complex layers that make them challenging to implement on mobile devices or real-time devices that use microcontrollers like raspberry pi, Arduino, and immediately. This is overcome by using a Light Convolutional Neural Network (LCNN), so it needs to experiment to test the difference in LCNN performance on a personal computer and a raspberry pi four microcontrollers with a Raspbian operating system. Experiments will be carried out using several performance measures: accuracy, F-1 score, recall, precision, and time to get performance results from deep learning. As such, the results and model architecture will confirm performance differences across individual devices and show how the model performs on resource-constrained or real-time devices. Tests show that the performance of the raspberry pi, which is a tool with limited resources, does not affect the quality of image recognition but affects the recognition processing time because the raspberry pi requires a longer processing time to perform one data or photo recognition process. This will accumulate the time required for processing many data, so it can conclude that the raspberry pi and tools with limited resources are not very practical for conducting recognition training and carrying out a recognition process that contains a lot of data or photos in one process.
PEMBANGUNAN SISTEM INFORMASI PERTAHANAN SEKOLAH SMA ISLAM AL AZHAR 4 BERBASIS WEB MENGGUNAKAN PHP & MARIADB Anugerah Fajar; Zaki Imaduddin
Jurnal Teknologi Terpadu Vol. 4 No. 2: Desember, 2018
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v4i2.204

Abstract

SMA Islam Al Azhar 4 Kemang Pratama memiliki bidang organisasi Ketahanan Sekolah atau biasa disebutTANSE yang berfungsi mengelola semua aturan sekolah terhadap murid yang dilaksanan oleh tim TANSEuntuk peningkatan kualiatas perilaku yang baik untuk mendukung Visi dan Misi sekolah SMA Islam AlAzhar 4 Kemang Pratama. Selama ini kegiatan yang ada di TANSEdalam pengelolaan data pelanggaranmurid masih dikelola secara manual dengan menggunakan buku besar, aplikasi Microsoft Word danMicrosoft Excel. Dimana dengan sistem manual dalam pengelolaan data penelitian dan pengabdian dapatmengakibatkan integritas dan keamanan data yang tidak terjamin serta keterlambatan akan informasisehingga permasalahan waktu dan tingkat validitas data ditekan seminimal mungkin. Penelitian inibertujuan untuk membangun aplikasi sistem informasi ketahanan sekolah SMA Islam Al Azhar 4 KemangPratama berbasis web menggunakan PHP & MariaDB. Hasil penelitian ini adalah aplikasi berbasis webdengan beberapa fitur yang dapat membantu mengelola kegiatan TANSE.
Perancangan Infrastruktur Jaringan Berbasis Aplikasi Packet Tracer dengan Metode Hot Standby Router Protocol Yogasetya Suhanda; Lela Nurlaela; Andy Dharmalau; Benediktus Sidhi Widjojo
Jurnal Teknologi Terpadu Vol. 8 No. 1: July, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.497

Abstract

The network infrastructure used by PT. Quantum currently uses one communication line in its network infrastructure. So, when the line dies, work that requires an internet connection will be disrupted and detrimental to the agency, for that two communication lines are needed. The Hot Standby Router Protocol (HSRP) network configuration is a high availability network that provides alternative means on all infrastructure paths and critical servers that can be accessed anytime. This is very useful when the main line on the web is down; the second line on the web will automatically back up the communication line, so work is not interrupted. The purpose of this research is to design a Hot Standby Router Protocol (HSRP) network infrastructure based on the Cisco Packet Tracer application. A network configuration on the Router to set the path of data packets, which can divert the main path (Active Router) to the backup path (Backup Router) if there is a problem in distributing data packets to the destination router (Main Router). The test results of the network configuration test that are made run well, there is no data loss, and show the average reply speed is below 10 ms.
Analisis Kesiapan Teknologi Informasi UMKM Kota Madiun menuju Pasar Digital Sri Anardani; Andi Rahman Putera; Muh Nur Luthfi Azis; Surya Kharisma Octavian
Jurnal Teknologi Terpadu Vol. 8 No. 1: July, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.514

Abstract

The purpose of this analysis activity is to find data on the readiness of UMKM in Madiun City to enter the digital market. This research uses a survey-based approach carried out with a cross-section method. Research data collection is carried out simultaneously and directly on the research object. The population in this study is UMKM in the city of Madiun, with a total sample of 108 UMKM. The source of data in this study is primary data obtained through the distribution of questionnaires, where the questionnaire research instrument is designed with the integration model approach ERL (E-learning Readiness). The data analysis technique uses descriptive analysis with the readiness approach from Aydin and Tasci by measuring readiness based on four factors, namely technology, innovation, people, and self-development. This research concludes that the technology factor is not ready and needs a slight improvement, namely the availability of hardware for UMKM actors to support digital marketing activities. The innovation, Human Resources, and self-development factors show that they are ready but need improvement so that the digital marketing process can be carried out correctly.
Sistem Kendali pH dan Kekeruhan Air pada Aquascape menggunakan Wemos D1 Mini Esp8266 berbasis IoT Abdul Rahman; Axel Natanael Salim
Jurnal Teknologi Terpadu Vol. 8 No. 1: July, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.526

Abstract

Aquascape is the craft of arranging aquatic plants, rocks, caves, or driftwood aesthetically in an aquarium that essentially creates an underwater garden. For the living things in the aquascape to maintain their health and the water conditions to remain transparent, it is necessary to have continuous treatment to keep the water. For this reason, this study designed a device that can automatically control pH and water turbidity levels and can be monitored and controlled remotely. In the system developed in this study, sensors were used to monitor water conditions: temperature sensor, water pH sensor, HC-SR04 proximity sensor, and turbidity sensor. In contrast, the control system used Wemos D1 Mini ESP8266. In this system, the results of reading water temperature conditions, water saturation levels, and aquascape water levels will be processed by the controller for automatic control so that the requirements of the aquascape remain good. These data will also be sent to MQTT Explore for real-time monitoring through web browsing or smartphone. The results of testing the control system using the Wemos D1 Mini ESP8266 show that the aquascape water temperature can be maintained at a temperature of 220 – 250C, the pH of the water is in the range of 6.9-8, and the turbidity level of the water is at a value of 10-25 NTU.  
Penerapan Algoritma Naïve Bayes dalam mengklasifikasikan Media Sosial untuk mengamati Trend Kuliner Destaria Wilandini; Purwantoro Purwantoro
Jurnal Teknologi Terpadu Vol. 8 No. 1: July, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.535

Abstract

The influence of the internet and social media has accelerated the pace of business trends developing rapidly, and social media acts as a means of information and information warehouses in observing emerging trends. In this study, the Naïve Bayes algorithm was used to analyze and predict social media applications by classifying classes on the data to see which applications are most popular with the public in observing a culinary trend. Culinary business trends choose as the subject under study with the object of research on social media applications. Social media is researched to produce recommendations for social media applications that are suitable for use in marketing media based on their target market, the dataset used was 101 data with 80%:20% split data. The study results stated that using the Tiktok application is recommended, after Instagram, Twitter, Youtube, and finally, Facebook. This research was conducted for MSMEs to guide suitable social media applications in business marketing strategies. Based on the results of this study, research experiments using other methods and algorithms can be applied in other studies to be a comparison with the current research results.
Hybrid Machine Learning Model untuk memprediksi Penyakit Jantung dengan Metode Logistic Regression dan Random Forest Silmi Ath Thahirah Al Azhima; Dwicky Darmawan; Nurul Fahmi Arief Hakim; Iwan Kustiawan; Mariya Al Qibtiya; Nendi Suhendi Syafei
Jurnal Teknologi Terpadu Vol. 8 No. 1: July, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.539

Abstract

The heart is the main organ that must work properly and regularly. If there is interference, it will be fatal, namely the onset of a heart attack. Heart attack is included in the 10 diseases with a high risk of death. This is caused by stress factors, blood pressure, excessive work, blood sugar, and others. The purpose of this study is to predict heart disease using Machine Learning (ML) algorithms as an early preventive measure on desktop-based information systems. With Machine Learning models, the hybrid model can increase the accuracy value of an ML method that is added to other ML methods. The accuracy value obtained from the Hybrid Model Machine Learning using the Random Forest and Logistic Regression methods is 84.48%, which is an increase of 1.32%.  

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