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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 9 Documents
 1 
Search results for , issue "Vol 8 No 1: Juli, 2022" : 9 Documents clear
Pengenalan Gerakan Sikap Dasar Pencak Silat Bakti Negara berbasis Aplikasi Mobile menggunakan Neural Network Suantara, I Putu Julian Taruna; Fredlina, Ketut Queena; Sudiatmika, Ida Bagus Kresna
Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.445

Abstract

Research on introducing basic stance or poses recognition specializing in sports is scarce. Researchers have not yet found journals or articles that discuss the introduction of the fundamental view of Pencak Silat as in this research. The research results can be used by athletes, teaching staff or organizations, and even the government who want to take advantage of the results of this research in the form of an application to introduce the fundamental stance of Pencak Silat. To realize this application, researchers use Neural Network or artificial intelligence where the model of recognition is trained on the Teachable Machine, which produces recognition accuracy above 90%, then integrated with mobile application programs based on Android that have been built using Flutter. After being integrated whit the mobile application, This application recognition still produces accuracy above 90%, so it can be concluded this application can work very well.
Perancangan Mesin Abstrak Finite State Automata Untuk Aplikasi Sewa Tanah Desa Sany, Diny Syarifah; Suwandi, Suwandi
Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.448

Abstract

Village land rental is a government program with specific provisions to maximize the benefits of village assets. A village land rental application can be developed to facilitate village land rental activities, but there is no appropriate design model to build this type of application. The design model for village land rental applications can make it easier for developers to create land rental applications. Applications resulting from the suitable land lease model will maximize the performance of village land rental activities. Finite state automata (FSA) is an abstract machine that can be used and implemented into programming languages. The proposed FSA model is adapted to the village land lease activities. Data collection for research materials was taken from Girijaya Village, Cianjur Regency. Testing this model is carried out in two ways: scenario testing comparing the results of the FSA and actual activities. The second test is by implementing the proposed FSA into the PHP programming language and then testing respondents' feedback to assess the proposed FSA's accuracy. In the first test, by comparing the results of the FSA with actual activities, it was found that the designed FSA was following actual activities. For feedback testing, a questionnaire was carried out with ten respondents getting a score of 4.7 or equivalent according to to tend to be very suitable to be used as a reference in developing village land rental applications.
Analisis dan Perancangan Sistem Informasi Pengelolaan Retain Sample QC pada PT. XYZ Fajriyah, Nurul; Setiawan, Wawan
Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.478

Abstract

Along with the development of science and technology, it has become an essential requirement in companies to produce information quickly, precisely, and accurately. PT. XYZ is a company engaged in the food processing industry. In each production process, strict quality control is required to produce the best quality. The current retain sample management system still uses manual and non-computerized records, including preparing Physico-chemical test analysis reports and incoming and outgoing transactions for retained samples made by the QC Leader. This study uses data collection methods through observation, interviews, and literature. The proposed system development uses the waterfall method to design the system using UML (unified modeling language), programming using visual basic 6.0, and Microsoft Access 2007 database. The results of the research that has been done, namely the creation of an information system for managing QC retain samples at PT. XYZ. The system design uses use case diagrams to describe the system user actors, activity diagrams to describe the system's process, sequence diagrams to describe the data flow interface to the database, and class diagrams to describe the relationships between tables. Then the system design is implemented in Visual Basic 6.0 programming language and MS database Microsoft Access. All data is integrated into one database so that the required data and reports can be presented computerized, such as physicochemical test analysis data, incoming and outgoing sample transactions, and samples that have entered their expiration period.
Perancangan Infrastruktur Jaringan Berbasis Aplikasi Packet Tracer dengan Metode Hot Standby Router Protocol Suhanda, Yogasetya; Nurlaela, Lela; Dharmalau, Andy; Widjojo, Benediktus Sidhi
Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 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 Anardani, Sri; Putera, Andi Rahman; Azis, Muh Nur Luthfi; Octavian, Surya Kharisma
Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 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 Rahman, Abdul; Salim, Axel Natanael
Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 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.  
Perancangan Sistem Informasi Penerimaan Siswa Baru berbasis Web (Studi Kasus: SLB Muhammadiyah Golokan Kecamatan Sidayu) Aji, Galih Wasito; Chotijah, Umi
Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i1.530

Abstract

The admission system for new students in special schools, for example, SLB Muhammadiyah Golokan, is still carried out in a general way, where every prospective student and student's guardian needs to come directly to SLB Muhammadiyah Golokan to fill out the registration form. Admission of new students using this manual method makes it difficult for prospective students because it is less efficient, the long process, and the transportation costs are high, especially for special schools, not as much as public schools. From these problems, the authors create an online website-based information system for new student admissions to make it easier for prospective students and guardians to carry out the registration process. This student admission information system has several features: filling out registration forms, uploading data, validating data, and final reports. The method applied to the development of this system is the Waterfall method. The author uses the PHP programming language and chooses MySQL, which is used for the system database. The results of this study are a new student admissions information system based on an online website that makes it easier for student guardians to register their children at SLB Muhammadiyah Golokan without the need to attend directly school.
Penerapan Algoritma Naïve Bayes dalam mengklasifikasikan Media Sosial untuk mengamati Trend Kuliner Wilandini, Destaria; Purwantoro, Purwantoro
Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 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 Al Azhima, Silmi Ath Thahirah; Darmawan, Dwicky; Arief Hakim, Nurul Fahmi; Kustiawan, Iwan; Al Qibtiya, Mariya; Syafei, Nendi Suhendi
Jurnal Teknologi Terpadu Vol 8 No 1: Juli, 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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