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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 122 Documents
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IOT Power System MQTT Protocol at Micro-Scale Shrimp Farming in Urban Areas Mochamad Sidqon; Agung Kridoyono; Anton Breva Yunanda; Ameloddin Amimus
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 5 No 2 (2022): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v5i2.3674

Abstract

In the post-pandemic era, Food security is activity that recommended by the government to save food crisis especially to increase food activity in urban areas. Like a shrimps, is the most favorite fish for food at urban area where in general this fish cultivation is carried out in the pond area. With the IOT MqTT protocol we propose the model of prototype system of shrimp cultivation at urban area where the place had topography characteristic like 5-9meter ground level, 31 °C temperature and 71%humidity. with the MQTT mobile telemetry we get the information about the changes condition like a temperature, PH, turbidity at the pond based android. Temperature for the heat level, PH for acidity and turbidity for clarity. Using wifi microcontroller AVR based to connect firebase cloud for storing data sensor that input data MUX microcontroller get from analog sensor. The power plant using solar power that implemented for power system at the peripheral. The result is the information condition of pond and alert if the value is out of set point value in the shrimp pond also the model of solar power system that implemented of shrimp farming.
Classification Of Determination Of Sweet Siwalan Fruit Based On Color Feature Using Svm Support Vector Machine Method Mustain mustain; Munif Munif; Kurnia yahya
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 5 No 1 (2022): June
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v5i1.3678

Abstract

Siwalan fruit is usually called a fruity fruit, not everyone knows about this fruit because this fruit only exists in certain regions in Indonesia. This fruit is very nutritious because it contains a lot of nutrients and has a sweet taste. But ordinary people determine the level of sweetness by means of manually tasting it directly. And with this research can help the community to distinguish between sweet and non-sweet siwalan, a system that can help classify siwalan fruit based on color is designed. With the SVM (Support Vector Machine) method and the method used is a learning machine method that can find the best hyperplane that separates 2 classes in the input space. It can be seen that the overall test data of 20 data from 3 taste siwalan (sweet, medium, lacking), the testing data obtained the highest level of accuracy of 90%, and can be said that SVM has a better level of accuracy.
Red Dragon Fruit (Hylocereus costaricensis) Ripeness Color Classification by Naïve Bayes Algorithm Zilvanhisna Emka Fitri; Mega Silvia; Abdul Madjid; Arizal Mujibtamala Nanda Imron; Lalitya Nindita Sahenda
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 5 No 1 (2022): June
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v5i1.3690

Abstract

Dragon fruit is a unique fruit that is popular in Indonesia. besides having a sweet taste, this fruit also contains fiber, vitamins and minerals that are good for health. Dinas Pertanian Kabupaten Banyuwangi noted that the total dragon fruit production was 906,511.61 tons and the total productivity was 261.14 Kw/Ha in 2018. This shows that Kabupaten Banyuwangi is one of the largest producers of red dragon fruit in East Java Province. One of the problems in determining the quality of dragon fruit is choosing the harvest time, considering that dragon fruit is a non-climatic fruit. Non-climateric fruit is when we harvest fruit in its raw state, the fruit will never become ripe, so determining the harvest time for dragon fruit is very important. The determination made by paying discoloration and sizes of dragon fruit that is considered less effective. To overcome this, a system was created that was able to determine the level of dragon fruit maturity automatically by utilizing digital image processing techniques and intelligent systems. The parameters used are color features and GLCM texture features using angles 0°, 45°, 90° and 135° These features are parameters in the classification process using the Naïve Bayes method. Naïve bayes is able to classify the level of maturity of red dragon fruit (Hylocereus costaricensis) with an accuracy rate of 87.37%.
Implementation of K-Means Algorithm for Diseases Clustering in Elderly Posyandu Participants Muhammad Iqbal Firdaus; Putri Aisyiyah Rakhma Devi
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 5 No 2 (2022): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v5i2.3691

Abstract

The Posyandu of Tirem Village is one of the integrated service posts for the elderly, where they can get proper health services. To get the right health services, Posyandu officers group elderly posyandu participants who suffer from chronic diseases for counseling and treatment. The problems that occur during the data collection and counseling process carried out by Posyandu officers are in the calculations that are still basic and are carried out alternately on the elderly Posyandu participants in Tirem village. So this method has the risk of inaccurate data collection and inconsistent handling for the treatment of elderly residents due to different health histories among the elderly. This study aims to classify the data of elderly posyandu participants in Tirem Village who suffer from chronic diseases with predetermined attributes. This grouping process uses the Clustering method using the K-Means Algorithm. The data used in the form of 40 elderly posyandu participant data in October 2022. The results of data processing using the K-Means algorithm with Microsoft Excel tools and using RapidMiner obtained the same results, namely Cluster 1 and cluster_0 have a total of 32 data from 40 data, Cluster 2 and cluster_1 have a total of 8 data from 40 data.
Product Sorting System In Checker Sorting Process Using The Template Matching Method Joko Priambodo; Fauzi Imaduddin Adhim; Enny Indasyah
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 5 No 1 (2022): June
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v5i1.3694

Abstract

In supporting the production activities of a company, an infrastructure unit is needed that is capable of supporting the production activities of a company. Several companies that produce animal feed and processed food have problems related to the failure of the sorting process. The sorting process for checking packaged products is still carried out by human power, so errors often occur due to human negligence in sorting packaged products. Therefore a tool is designed to sort automatically and be able to distinguish differences from packaged products using image processing with the Template Matching method. Then, proceed with looking for accurate calculations using the Template Matching algorithm, which will help detect differences between packaging products A and B. The technique used in the method is the calculation of values using greyscale imagery and image segmentation with ten trials based on the labels on the template features used. After testing, the best accuracy results, namely 59% obtained on image segmentation
Development of Employee Payroll System using Rational Unified Process (RUP) on Odoo Platform Fauzi Imaduddin Adhim; Raisya Fiany Martin; Slamet Budiprayitno; Lucky Putri Rahayu
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 5 No 1 (2022): June
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v5i1.3696

Abstract

Payroll process mostly done manually in Indonesian companies. Manual process takes longer time than automated process. In this research, an employee payroll system was developed on the Odoo platform by implementing the Rational Unified Process (RUP) method. There are four phases in this method, the inception phase includes business process modeling activities both ongoing business processes (as-is) and proposed business processes (to-be). Then from the business process needs analysis is carried out. The elaboration phase includes system design activities using use case diagrams, activity diagrams, configuration, use case scenarios, and salary rules. The construction phase includes implementation activities based on the system design in the previous phase. The results of the implementation will then be evaluated at the testing stage. In the final phase, namely the transition, the deployment or installation process is carried out to the user. The results obtained after testing the system by comparing salary calculations on Microsoft Excel and Odoo show that the total salaries of employees received are similar. The time needed to calculate an employee in Microsoft Excel is 15 minutes, while in Odoo the time needed is 6 minutes faster. In the User Acceptance Testing (UAT) test, the respondents involved were a limited circle of various departments at a sample company totaled 11 people by giving 12 statements from 3 UAT test criteria and obtained a final score of 86.97%. From the final score, the respondents accepted the developed system well.
Implementation of Customer Relationship Management (CRM) at Giant Supermarket Pagar Alam Lampung WEB-Based Hilda Dwi Yunita; Rudi Setiawan; Yodhi Yuniarthe
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 5 No 1 (2022): June
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v5i1.2077

Abstract

Giant Supermarket Pagar Alam Lampung is a company engaged in the sale of goods in Bandar Lampung. In marketing its products, it is still done by distributing sales catalogs and advertisements, so that many consumers cannot find out information about the stock of goods available at Giant Supermarket Pagar Alam Lampung. Consumers must come directly, if consumers want to get information or want to make purchases of goods, and do not improve sales and marketing strategies. CRM is a type of management that specifically discusses the theory of handling the relationship between a company and its customers, with the aim of increasing the value of the company in the eyes of its customers. CRM design will be discussed about ordering goods, purchase transactions, and service to consumers. The purpose and benefits of this research is to implement CRM in order to improve information services and customer satisfaction for Giant Supermarket Pagar Alam Lampung. The results of this study are a Customer Relationship Management (CRM) system in sales at Giant Supermarket Pagar Alam Lampung, this system can improve the company's service to customers through the sales provided, and this system can display information on goods sold, and can facilitate Giant Supermarket Pagar Alam Lampung in sales reporting.
Cement Distribution System in CV. Indosatu With a Supply Chain Management Approach Dede Serlina; Anggun Fergina; Ivana Lucia kharisma
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 5 No 1 (2022): June
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v5i1.3275

Abstract

CV. Indosatu, which is engaged in building material, a three-wheel cement distributor, has more than 80 customers for building shops and projects located in the Sukabumi city and district areas, so a sales and delivery information system is needed that helps customers and receives fast information, as well as for sales. and the admin will make it easier for orders received from the store and forwarded to the admin section to be verified for further delivery by the logistics section, for sales and stock data information it will be easier to get too.This system will be built using PHP Nativ framework, JavaScript, CSS and MySQL databaseThe final result obtained is a system with (SCM) Supply Chain Management used by CV. Indosatu. This system is able to provide information about orders from sales, store information, shipping information and stock information. From the test results on users, it shows that this marketing and logistics management system helps in processing sales data and processing stock shipping data.
Analysis of the K-Nearest Neighbor Algorithm to Determine the Prediction of Tofu Production Munif Munif; Mustain Mustain; Kurnia Yahya
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 5 No 1 (2022): June
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v5i1.3677

Abstract

The tofu factory in Kedungpring does not yet have a prediction system to estimate the number of tofu that will be predicted for the next month. As a result, companies cannot meet market demand in a timely and appropriate amount. Therefore, it is necessary to make a prediction system to determine the amount of tofu production in Kedungpring District. In this research, the application of K-Nearest Neighbor Algorithm Analysis Application to determine the prediction of the number of Web-Based production to make it easy to predict the number of tofu production. The system functional test results show that all features in the application are able to run properly and functionally. Testing the accuracy of the prediction system K-Nearest Neighbor algorithm to determine the prediction of the number of web-based tofu production that can produces a MAPE of 0.68%
Implementation of Additive Ratio Assessment (ARAS) in Decision Support Systems for Wi-Fi Repeater Selection Indra Nanda; Rhaishudin Jafar Rumandan; Alfry Aristo Jansen Sinlae
TEKNOLOGI DITERAPKAN DAN JURNAL SAINS KOMPUTER Vol 5 No 2 (2022): December
Publisher : Universitas Nahdlatul Ulama Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33086/atcsj.v5i2.3738

Abstract

Wi-Fi repeater devices are important tools for individuals, agencies, and companies so that the desired areas can be connected to the internet. To select a Wi-Fi repeater, take care in selecting the right product for your needs. However, not everyone has knowledge regarding the specifications of a Wi-Fi repeater. This resulted in a long process of selecting a Wi-Fi repeater because they had to find information regarding the specifications of the product to be purchased. This has an impact on the length of the process of making decisions. The purpose of this research is to build a decision support system using the Multi-Attribute Decision Making (MADM) approach and the Additive Ratio Assessment (ARAS) method for selecting the right Wi-Fi repeater device as needed. Referring to the utility level of each alternative to determine the ranking, the ARAS technique has the ability to choose the best alternative. Using the ARAS approach for case studies, which is identical to manual calculations, the developed system produces the same results, according to the case studies that have been completed. The DSS developed is website-based, with main features including managing data extraction, data alternatives, value alternatives, ARAS calculation methods, and displaying the best alternative in the form of ranking. Additionally, testing utilizing black-box testing reveals that all of the evaluated functions can function as they should.

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