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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. 2 (2022): December, 2022" : 9 Documents clear
Pengembangan Aplikasi Virtual Tour 360 Degree berbasis Web untuk Pengenalan Pura Dalem Sidakarya Adie Wahyudi Oktavia Gama; I Nyoman Hary Kurniawan
Jurnal Teknologi Terpadu Vol. 8 No. 2 (2022): December, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i2.487

Abstract

Pura Dalem Sidakarya includes the Territorial Temple, Kahyangan Tiga, or the Village Temple. The existence of Dalem Sidakarya Temple is to commemorate the services of the Brahmin Rivet. Pura Dalam Sidakarya has the Parhyangan Dalem Sidakarya architecture using its concept but still respects the predecessors of the founders of Parahyangan Jagat Bali by allocating it into one Sad Kahyangan. In addition to exploring the Sad Kahyangan Temple, there is also a Parahyangan Jagat Natha in this temple. Pura Dalem Sidakarya has a historical value, namely being the place for Pinunas Tirta Sidakarya or Tirta Penyidakarya for the success of religious activity. However, from the results of the initial survey, there are still many people who still need to learn about the existence of Pura Dalem Sidakarya. With the development of information technology today, the author built a Website-based 360 Degree Virtual Tour Application that aims to provide information and give the impression as if you are at Jagat Dalem Sidakarya by using research flow such as problem, problem formulation, literature study/material collection, system design, system design, system testing/data collection, data analysis/data validation, and conclusion. Based on the results of tests carried out using the Black Box Testing Method, all features in the application can run appropriately according to their functions.
Rancang Bangun Sistem Pengukuran Kinerja Baterai pada Baggage Towing Tractor berbasis NodeMCU ESP8266 Aplikasi Android I Gede Made Putra Suardana; Ida Bagus Made Harisanjaya Adi Nugraha; Dewa Gede Agung Padmanaba Pemayun; Ida Bagus Irawan Purnama; I Gede Ketut Sri Budarsa; Ida Bagus Ketut Sugirianta; Anak Agung Ngurah Gde Sapteka
Jurnal Teknologi Terpadu Vol. 8 No. 2 (2022): December, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i2.491

Abstract

An electric vehicle uses increasing in Indonesia. Airport services are also advancing the development of electric cars on Baggage Towing Tractors (BTT). BTT is used to attract aircraft baggage to the terminal baggage queue. BTT uses an electric engine as a driving force and an 80V battery as a voltage source. If the BTT battery is not managed correctly, then it is an effect on the battery life. This battery is prone to over-voltage, under-voltage, and over-heat. The project is necessary to develop a system that makes it easier for users to monitor battery performance and technicians during maintenance. The concept of this system is based on an android application. This application will provide real-time information about battery voltage, temperature, and humidity through Firebase Database. The data received by sensors is sent to the database via a microcontroller, which is connected to a Wi-Fi network. The android application will access the database and display data in real-time by ignoring previous data. This system is designed for users to determine the condition of the BTT battery that will be used. The system was tested to evaluate measurement accuracy and speed of updating data. From the test result, the level of accuracy system is around 97%, and it’s rated as working optimally.
Perancangan UI/UX pada Website Laboratorium Energy menggunakan Aplikasi Figma Seila Tazkiyah; Aridhanyati Arifin
Jurnal Teknologi Terpadu Vol. 8 No. 2 (2022): December, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i2.513

Abstract

Information technology is a technology that serves to help various jobs become more effective and efficient. Making the Energy Laboratory website is one of the applications in information technology. The Energy Laboratory website is an information system used to recapitulate reports and comparative tests and store website-based calibration data for measuring instruments. The user interface is created to make the technology accessible for users to use. A good user interface design and experience will keep visitors on the website. But on the other hand, poor interface design and user experience of a website will make users uncomfortable and leave the website. In designing the UI/UX of the Energy Laboratory website, the creation of the interface prototype uses the Figma application. The method used in creating the UI/UX design on the Energy Laboratory website uses the Design Thinking method. The Design Thinking method has five stages: empathize, define, ideate, prototype, and test. The conclusion from this study is that Figma is good and helps in the process of designing the appearance of the Energy Laboratory website with an attractive and easy-to-use User Interface.
Rancang Bangun E-RT dalam Upaya meningkatkan Keamanan, Ketertiban, dan Kerukunan Hidup Antar Warga Yogi Bachtiar; Dewi Anjani; Desi Novianti
Jurnal Teknologi Terpadu Vol. 8 No. 2 (2022): December, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i2.515

Abstract

E-RT is a development of E-Government to improve public services so that people in the surrounding environment can more easily access information. One of the functions of the RT is to create security, order and harmony in its environment. One of the rules can realize this safety and order: guests must report 1x24 hours. However, the lack of public awareness of this rule causes this regulation not to be implemented. So this study aims to develop e-RT applications in the field of security and order to increase effectiveness and efficiency, especially in reporting guests who come to the RT environment. The approach used is qualitative with a descriptive method. The study results are in the form of an e-RT application that residents and RT administrators can access. In this study, the application's design is based on user needs analysis, where data collection uses the interview method. In visualizing and building application model concepts, this research uses UML. And it is testing the application using the black box method. The test consists of 7 scenarios; In the initial examination, there were errors in scenarios three and seven, so the test's success was only 80%. After scenarios 3 and 7 are fixed, especially in the coding section, the application can run 100% according to its needs or functions.
Aplikasi Android Untuk Pelaporan Perlengkapan Jalan di Kota Banjarmasin Muhammad Haykam Imama; Aridhanyati Arifin
Jurnal Teknologi Terpadu Vol. 8 No. 2 (2022): December, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i2.532

Abstract

As the highway organizer, the Department of Transportation of Banjarmasin City has complaints about web-based road equipment applications because it takes a long time to load web pages. This condition makes work efficiency go down. As a result, services to the community could be more optimal. This research designs and builds a system called “Sistem Informasi Perlengkapan Jalan” (Road Equipment Information System) with an android base. This research purpose is to create an efficient android-based road equipment system. The hope is that it will become an alternative solution to help the Department of Transportation of Banjarmasin City maintain road equipment. The research stages consist of three stages: data collection, literature study, and software development. Data collection uses two techniques, namely interviews and observation. The development method used is Extreme Programming (XP). The application is built using Android Studio tools, Java programming language, and MySQL database. The testing method used is black box testing. The result of the research is a system that can accurately accommodate road equipment data and accurately display the location of the intended road equipment on the map. In addition, the Android-based SIPJ application is more efficient than the web-based SIPJ based on access speed.
Klasifikasi Penderita Diabetes menggunakan Algoritma Machine Learning dan Z-Score Ichwanul Muslim Karo Karo; Hendriyana Hendriyana
Jurnal Teknologi Terpadu Vol. 8 No. 2 (2022): December, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i2.564

Abstract

Diabetes is a deadly and chronic disease. It characterized by an increase in blood sugar. Many complications occur if diabetes does not treat and identified. The common identification process by visits to diagnostic centers and consulting physician. It makes bored patients. Machine learning approach can solve the problem of diabetic identification. However, the unbalanced range of diabetes variable values ​​affects the quality of machine learning results. This study predicts the likelihood of diabetes in diabetic patients from 768 Indian women, using three machine learning classification algorithms and Z-Score normalization method. The machine learning algorithms used are Decision Tree, Support Vector Machine (SVM) and Naive Bayes. Experiments were run on the Pima Indians Diabetes Database (PIDD). Dataset retrieved from the UCI Machine Learning Repository. The performance of the three algorithms was evaluated using accuracy, precision, F1, and recall based on confusion matrix. SVM algorithm is an algorithm that has the highest performance that both algorithm the Naive Bayes and Decision Tre algorithms, the accuracy and F1 is 80.73% and 76%. The Z-Score method has positively contribution to increasing the accuracy of the classification model. Furthermore, this study also managed to get a higher accuracy than previous studies.
Analisis perbandingan Algoritma Support Vector Machine, Naive Bayes dan Regresi Logistik untuk Memprediksi Donor Darah Hendriyana Hendriyana; Ichwanul Muslim Karo Karo; Sri Dewi
Jurnal Teknologi Terpadu Vol. 8 No. 2 (2022): December, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i2.581

Abstract

Blood supplies and stocks are urgently needed. Regular donations from healthy volunteers are the only way to keep up with the blood supply. This research aims to develop and evaluate a machine-learning algorithm to predict whether a volunteer will donate or not. The machine learning algorithms are Naïve Bayes, Logistic Regression, and Support Vector Machine (SVM). This study also applies the process of normalizing data with a Z-score to standardize the dataset scale. The dataset is sourced from the Hsin-Chu City Blood Transfusion Service, Taiwan, and stored in the UCI repository. The evaluation methods are accuracy, precision, recall, and F-1 score. The research results with the Naïve Bayes algorithm were 89.90%, Logistic Regression 82.59%, and SVM 94.79%. The normalization process using the Z-Score method contributes positively to improving the performance of the classification model. Based on this performance, it provides predictive results for volunteers who will return to donate blood to offer blood reserves to those in need.
Sistem Informasi Geografis Pencarian Layanan Vaksin dan PCR Covid-19 Menggunakan Google Maps API dan Jalur Terpendek
Jurnal Teknologi Terpadu Vol. 8 No. 2 (2022): December, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i2.596

Abstract

The need for information on the location of health services for Covid-19 vaccines, swabs and PCR in the era of the Covid-19 pandemic and pre-pandemic is something that the public is looking for. The ease and speed of getting the location and route of health services can help the community, so that the vaccine program and the enforcement of the Covid-19 diagnosis can run optimally. Geographic Information Systems (GIS) can be applied in the health sector such as spatial-based health service applications. This research is designing a web-based GIS using Google Maps API technology and the shortest path search algorithm. The software development method used is a prototype model and data collection techniques. The system prototype was tested using the blackbox testing method with the results of system testing obtained 100% all functional running well. This research has succeeded in making a prototype of the GIS application to find the nearest health service for vaccines, swabs and PCR Covid-19 as well as recommendations for the total travel costs that must be incurred to the location so that it can help the community, and the application is feasible to use.
Penerapan Model Machine Learning Untuk Menentukan Klasifikasi Jenis Bantuan Sosial
Jurnal Teknologi Terpadu Vol. 8 No. 2 (2022): December, 2022
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v8i2.604

Abstract

The Provincial Government of DKI Jakarta has a social assistance program budgeted by the APBD in the form of the Jakarta Elderly Card (KLJ), Jakarta Persons with Disabilities Card (KPDJ) and Jakarta Child Card (KAJ) programs. The problems that occur at the Kelurahan level are related to social assistance, namely the difficulty in determining the right type of assistance to be received by residents according to the terms and criteria that have been determined by the Government and there is no overlapping of recipients of assistance. The registration factor and the lack of understanding of residents regarding the criteria for the type of social assistance resulted in the determination of recipients of social assistance not being on target, such as residents receiving assistance who did not meet the criteria, resulting in social jealousy. To help with this problem, research was carried out to determine the best model in classifying the types of social assistance based on recipient criteria by comparing three classification methods. This study uses 100 respondent data and 8 criteria used as determinants of recipients. Comparison of the Certainty Factor, Naïve Bayes and Decision Tree models will provide an overview of the best model based on the level of accuracy. The confusion matrix is used to test the accuracy for Naïve Bayes and Decision Tree and the output of the selected model is a web-based application that can provide recommendations for types of social assistance. The best accuracy results are Certainty Factor which is 98.4%, Naïve Bayes and Decision Tree is 93.3%.

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