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Applied Technology and Computing Science Journal
Published by Universitas Nahdlatul Ulama Surabaya
ISSN : 26214458     EISSN : 26214474     DOI : https://doi.org/10.33086/atcsj
Core Subject : Social, Engineering,
Engineering Social Sciences
Applied Technology and Computing Science Journal ( ISSN 2621-4458, E-ISSN 2621-4474) is a journal on all aspect of applied technology natural science that published online by Faculty of Engineering – University of Nahdlatul Ulama Surabaya. This journal published periodically twice in a year (on June and December) to accommodate the researcher from all over the world who want to publish the results of their research and contribution with all variety topics related to Engineering, Applied Computer Modelling and Simulation, Information System, Computer Science, Forecasting, Computer Applications, Expert System, E-Government, E-Business, E-Commerce, Information Security, Big Data, Intelligent System, Data Analysis, Data Mining, Smart City.
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Articles 88 Documents
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Comparison of Distance Models on K-Nearest Neighbor Algorithm in Stroke Disease Detection Iswanto Iswanto; Tulus Tulus; Poltak Sihombing
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 4 No 1 (2021): June
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v4i1.2097

Abstract

Stroke is a cardiovascular (CVD) disease caused by the failure of brain cells to get oxygen supply to pose a risk of ischemic damage and result in death. This Disease can detect based on the similarity of symptoms experienced by the sufferer so that early steps can be taking with appropriate counseling and treatment. Stroke detecting requires a machine learning method. In this research, the author used one of the supervised learning classification methods, namely K-Nearest Neighbor (K-NN). K-NN is a classification method based on calculating the distance to training data. This research compares the Euclidean, Minkowski, Manhattan, Chebyshev distance models to obtain optimal results. The distance models have been tested using the stroke dataset sourced from the Kaggle repository. Based on the test results, the Chebyshev model has the highest levels of accuracy compared to the other three distance models with an average accuracy value of 95.49%, the highest accuracy of 96.03%, at K = 10. The Euclidean and Minkowski distance models have the same level of accuracy at each K value with an average accuracy value of 95.45%, the highest accuracy of 95.93% at K = 10. Meanwhile, Manhattan has the lowest average compared to the other distance models, which is 95.42% but has the highest accuracy of 96.03% at the value of K = 6
Design of Management Information Systems Memorandum of Understanding (MoU) And Memorandum of Agreement (MoA) Universitas Darussalam Gontor Oddy Virgantara Putra; Yoke Suryadarma; Muhammad Arsyad Maulana
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 4 No 1 (2021): June
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v4i1.2152

Abstract

The Memorandum of Understanding (MoU) at Universitas Darussalam Gontor (UNIDA) is an important activity that can be proven by the number of MoUs that have been carried out. However, because the management of the MoU is still manual, there is a risk of damage, loss, and duplication of the MoU data. In this research, an information system for the Bureau of Cooperation, Alumni, and International Affairs UNIDA has been built to meet the bureau's needs in managing data correctly so that students and lecturers can utilize the data. The system is made in the form of a website using the concept of Model-View-Controller (MVC) and Single Page Application (SPA) by applying the SDLC (System Development Life Cycle) methodology. The study results show the satisfaction value of the respondent's assessment is at 4.11 on a scale of five, which means that this information system provides satisfaction to users. In the subsequent project research, this system can develop an authentication site for user security.
Kediri Karesidenan Sharia Tourism Routes Optimization using Genetic Algorithm Hendy; Agata Iwan Candra; Abidatul Izzah
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 4 No 2 (2021): December
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v4i2.2227

Abstract

Sharia tourism is a tour from nature, culture, or artificial tourism framed by Islamic values, which provides a sense of security and comfort. East Java, one of the thirteen provinces prepared by Indonesia to become a sharia tourism destination, has an excellent opportunity to be developed. One of them is Kediri Karesidenan. There are 154 destinations that can be explored and considered as sharia tourist destinations in Kediri Karesidenan. There has been no research that discusses sharia travel routes, as well as the need for government to develop sharia tourism in Indonesia, making this research very important to do. In planning the development of effective and efficient transportation routes, which reach sharia tourist destinations in Kediri Karesidenan, scientific and technological contributions are needed. A genetic algorithm is an alternative solution to searching and optimization problems. In this research, the genetic algorithm is used to determine the shortest route to reach sharia tourist destinations in five areas in Kediri Karesidenan, such as Kediri, Nganjuk, Blitar, Tulungagung, and Trenggalek. The conclusion is the length of the sharia tourism route in Kediri, Nganjuk, Blitar, Tulungagung, Trenggalek, respectively, are 249.32 km, 289.148 km 452.95 km, 341.68 km, 384.67 km. In addition, the authors used the K-means clustering algorithm to group sharia tourist destinations in Kediri Karesidenan, basic on four properties, namely: the city where the destination is located, the type of tourism, the price of admission, and the distance of the destination with the city center. It can be concluded that the best value of K is K=3, and in each resulting cluster, the authors apply the genetic algorithm to determine the shortest sharia tourism route.
Battery Charger Design with PI Control Based on Arduino Uno R3 Agung Prasetyo Utomo; Anggara Trisna Nugraha Angga; Dwi Sasmita Aji Pambudi; Dadang Priyambodo
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 4 No 2 (2021): December
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v4i2.2398

Abstract

In line with the increase in the electrification ratio target to 100% in 2025, the electricity demand is projected to increase more than 7 times to 1,611 TWh in 2050. the share reached 58% or about 50 GW. On the other hand, the current energy diversification carried out by the government is directed at the utilization of renewable energy that exists in nature. One of the important components in this power plant is the battery. This is because the battery functions as a store of energy generated from the vertical wind turbine. After use, the battery needs to be recharged. The process of recharging the battery that is not suitable can cause a decrease in battery performance. Therefore, in the process of charging this battery, a safe battery charging system is needed for the battery to maintain battery performance and extend battery lifetime. This battery charging system uses a PI control system. From the research that has been done, it was found that. From the research that has been done, it is found that the output voltage value of the battery charger that is made has an average error percentage of 1.373% and the power output efficiency of the battery charger is 83-95%.
Design of Maximum Power Point Tracking Photovoltaic System Based on Incremental Conductance Algorithm using Arduino Uno and Boost Converter Efendi S Wirateruna; Mohammad Jasa Afroni; Fawaidul Badri
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 4 No 2 (2021): December
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v4i2.2450

Abstract

Fossil fuel reserves are limited while the growing demand for energy utilization. It leads to an acceleration of renewable energy use. One of the renewable energy resources is solar energy, called the photovoltaic system. This paper uses a photovoltaic solar system consisting of a solar panel module, DC-DC boost converter, voltage divider, ACS712 as a current sensor, Arduino Uno, and load resistor. Maximum Power Point Tracking (MPPT) controller is implemented to track the maximum power point of the solar panel system using a boost converter based on the Incremental Conductance algorithm embedded in Arduino UNO. The PV system with MPPT controller is designed with PV 20 W. The testing of the ACS712 current sensor and voltage sensor show error values of about 1.82% and 0.83%, respectively, which are acceptable limits. Besides, the DC-DC boost converter is also tested, and its performance shows an increase in the output voltage. The test result of the PV system with MPPT control based on the Incremental Conductance algorithm shows the average value of the PV power output with resistive load at 36 Ω is about 7.34 W, while the PV system without MPPT is about 6.07 W. Thus, the Photovoltaic system using MPPT controller based on the incremental conductance algorithm can control PV power output at the maximum power point.
Main Engine Water Cooling Failure Monitoring and Detection on Ships using Interface Modbus Communication Dwi Sasmita Aji Pambudi; Ruddianto; Anggara Trisna Nugraha Angga; Agung Prasetyo Utomo; Mahasin Maulana Ahmad; Mayda Zita Aliem Tiwana; Alwy Muhammad Ravi
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 4 No 2 (2021): December
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v4i2.2508

Abstract

Main engine failure will damage engine systems, reduce navigation safety, and cause serious marine accidents. The cooling system is very important to prevent the engine's mechanical efficiency from deteriorating and engine failure due to overheating. Therefore, a monitoring and error detection system is needed. The system is based on the Modbus RS485 communication and interface. The collection equipment uses components from the 7S-50MC diesel engine. PLC is used as processing equipment and Logic Panel Autonics S070 is used as an interface. Through these tests, error detection in this study can provide an indication of an error when an abnormal situation occurs. In addition, data monitoring and system fault indication can be displayed on the interface. Testing of the system proved that it complies with the Indonesian Shipping Bureau (BKI) regulations on engine warning systems. The research developed can form the basis of more complex and reliable monitoring and fault detection system for applications on ships.
Design and Build a Web App-Based Conference Registration System Using the Waterfall Model Fawaidul Badri; Ridwan Maulana; Khusnul Khotimah; Rizqi Putri Nourma Budiarti; Awang Andhyka
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 4 No 2 (2021): December
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v4i2.2820

Abstract

During the pandemic, many events are held online. conference registration (webinars, seminars, workshops) which basically will cause its complexity for admins if there are excess registrants or over participants from achieving the registration quota target. In addition, the admin must monitor regularly to ensure that there are no excess registrants that result in inefficient. The method used in the development of this application is the waterfall method. The purpose of this research is to build a web-based conference registration system that can make it easier for admins/organizers to manage the registration process. The results of this study the system can display the results of the recap from the admin so that the user can see the quota from the conference registration organized by the committee as well as testing of users from several tests to produce an application system that runs well.
A Sentiment Analysis Pedulilindungi Tweet Using Support Vector Machine Method Farhan Setiyo Darusman; Amalia Anjani Arifiyanti; Seftin Fitri Ana Wati
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 4 No 2 (2021): December
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v4i2.2836

Abstract

Pedulilindungi application has many benefits but many controversies arise in the community. Various opinions in the form of tweets were expressed by the public, both positive and negative opinions. In this study, the objective is to make a classification model to classify tweets into two types of sentiment, namely positive and negative. The model is made in several stages, namely data retrieval, data filtering, data labeling, data preprocessing, splitting data train and data test, feature selection using Information Gain and Genetic Algorithm, and then classification using the SVM method. The model using two-stage feature selection and SVM method, obtained an accuracy value of 64.08% with 841 features and processing time of 0.033 seconds with 9.6% CPU usage. The model with two-stage feature selection is more efficient and effective than the one-stage feature selection model whose accuracy value is only 60.56% with 1800 features and a processing time of 0.044 seconds with 15.4% CPU usage.
Exploring The Readiness of Private College Students From Offline To Online Learning System Ayouvi Poerna Wardhanie; Ahmad Nizar Yogatama
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 4 No 2 (2021): December
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v4i2.2814

Abstract

This study explores how students' readiness at two private campuses in East Java in facing changes in the learning system from being used to face-to-face to a fully online system. This study uses Interpretative Phenomenological Analysis (IPA) to examine how students experience their learning activities with the new system. The research also used the purposive sampling method in selecting the sample. The respondents of this study were four male students from the Department of Information Systems, Dinamika University - Surabaya, and four female students majoring in Management, Institute of Technology and Business Asia Malang. In collecting primary data, the researcher conducted semi-structured interviews. This study indicates that students are unprepared to fully accept online learning, especially certain subjects requiring much practice. Hence, the hybrid learning system is still the best solution for now.
Analysis of User Satisfaction Level of myIM3 Application Using TAM Method Sayyidah 'Aisy Farikhah; Paramitha Nerisafitra
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 4 No 2 (2021): December
Publisher : Unusa Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v4i2.3096

Abstract

User satisfaction is a critical thing in handling a business. The company must be capable to provide quality services for the products/services provided by them. MyIM3 application is an application developed by PT. Indosat Ooredoo Hutchison to check and purchase credit and data packages online, find promotions offered by Indosat Ooredoo Hutchison, etc. More than 10 million users have downloaded the myIM3 app on the PlayStore and AppStore. The number of features offered makes users often experience problems in accessing the application so it affects user satisfaction. This study aims to find a correlation between variables to determine the level of user satisfaction with myIM3 application. This study applied Technology Acceptance Model (TAM) method. The number of respondents obtained by using the calculation of Slovin's formula was 400. The technique of data collection used in this study was by distributing questionnaires to myIM3 users throughout the public with various criteria. The technique of data analysis used in this study was Structural Equation Model (SEM). From this study, the hypothesis that has the most significant influence is Attitude Toward Using to Behavioral Intention to Use, while other hypotheses which also have a significant influence are Perceived Ease of Use to Perceived Usefulness, Perceived Usefulness to attitude Toward Using, Perceived Ease of Use To attitude Toward Using, and Behavioral Intention to Use to User Satisfaction.

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