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Jurnal Teknologi Terpadu
ISSN : 24770043     EISSN : 24607908     DOI : -
Articles 5 Documents
Search results for , issue "Vol. 8 No. 1: July, 2022" : 5 Documents clear
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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