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Journal of Applied Information, Communication and Technology (JAICT)
Published by Politeknik Negeri Semarang
ISSN : 25416340     EISSN : 25416359     DOI : https://doi.org/10.32497/jaict
Core Subject : Engineering,
Engineering
Focus of JAICT: Journal of Applied Information and Communication Technologies is published twice per year and is committed to publishing high-quality articles that advance the practical applications of communication and information technologies. JAICT scope covers all aspects of theory, application and design of communication and information technologies, including (but not limited): Communication and Information Theory. Mobile and Wireless Communication, Cognitive Radio Networks. Ad Hoc, Mesh, Wireless Sensor Network, Distributed System and cloud computing Computer networking and IoT Optimization Algorithms, Artificial intelligence, Machine Learning, and Adaptive System.
Arjuna Subject : Teknik (semua kategori) - Teknik Listrik dan Elektro
Articles 95 Documents
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MONITORING AND CONTROLLING TRAINER OF AUTOMATIC GRAIN DRYER MACHINE BASED ON PLC AND SCADA Syahid, Mochamad Muqorrobin, Yusnan Badruzzaman, Setyoko, Nur Fatkhul Cholbi
JAICT Vol 7, No 1 (2022)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v7i1.3456

Abstract

Grain drying is currently still using the traditional method of drying with solar thermal. One of the obstacles to rice production in Indonesia is the problem of the grain drying process. So far, Indonesian farmers still carry out traditional drying, only relying on the solar thermal to dry their grain, so that during the rainy season they will troubled in the drying process. Therefore, a trainer for a grain dryer machine with a small capacity is made so that it can be controlled by PLC and monitored using SCADA. The test results obtained that the weight of the grain before the 1000 gram test was tested with a drying time of 90 minutes, for the water content before drying was 18% after entering the drying process for 90 minutes, the weight of the grain became 927 grams and the water content after drying was 12.5%. At every 10 minutes the average weight loss of grain after the drying process is 5.9 grams and water content is 0.5%.
TOMATO MATURITY DETECTION SYSTEM USING COLOR HISTOGRAM METHOD AND NEAREST NEIGHBOR Miftakhul Jannah
JAICT Vol 7, No 1 (2022)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v7i1.3074

Abstract

Tomato (Lycopersicum esculentum Mill) is a type of horticultural plant that has a relatively fast maturity time compared to other fruits. In order to accelerate the implementation of smart farming in Indonesia, various methods that support agriculture have been developed. One of the technologies that can be applied to develop agriculture in Indonesia is image processing. This study aims to utilize image processing technology to detect and classify ripe and unripe tomatoes. The system is made using static images taken using a digital camera. The marker used in making the system to detect tomato ripeness is the color histogram. While the method for grouping tomatoes uses the nearest neighbor method. This study proves that the performance of the color histogram and nearest negihbor can be used to detect and classify tomatoes that are not ripe or ripe. The accuracy value obtained using this method is 80% while the precision value obtained is 80.53% and the recall value is 81.5%. The results of this study are expected to support the implementation of smart farming 4.0 in Indonesia. Index Terms—Approximately four key words or phrases in alphabetical order, separated by commas. The first one must be the article’s main subject.
Improved Decission Tree Performance using Information Gain for Classification of Covid-19 Survillance Datasets Ivandari Ivandari; Much. Rifqi Maulana; M. Adib Al Karomi
JAICT Vol 7, No 1 (2022)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v7i1.3501

Abstract

One of the most feared infectious diseases today is COVID-19. The transmission of this disease is quite fast. Patients also sometimes do not have the same symptoms. Overcoming the spread of the pandemic has been widely carried out throughout the world. Apart from the medical method, there are also many other methods, including computerization. Data mining is a discipline that can project data into new knowledge. One of the main functions of data mining is classification. Decision tree is one of the best models to solve classification problems. The number of data attributes can affect the performance of an algorithm. This study uses information gain to select the attribute features of the Covid-19 surveillance dataset. This study proves that there is an increase in the accuracy of the decision tree algorithm by adding information gain feature selection. Previously, the decision tree only had an accuracy rate of 65% for the classification of the Covid-19 surveillance dataset. After pre-processing using information gain, the accuracy rate increased to 75%.
Augmented Reality Implementation as a Product Introduction Development Scheme in Logistics angga wahyu wibowo
JAICT Vol 7, No 1 (2022)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v7i1.3493

Abstract

Industrial evolution in the field of computer technology and multimedia is growing rapidly, especially the sophistication of augmented reality technology which has been used as an introduction medium by various companies. The method in this study uses the waterfall technique. This application is built on a mobile device using Unity 3D software which is implemented in the form of a three-dimensional model for product marketing both in warehouses and places for promotion. This digital marketing strategy supports business people in increasing target market satisfaction. By presenting augmented reality technology through three-dimensional visualization, it is hoped that it can add alternative interactive product introduction media so that consumer needs can be seen clearly through smartphones
CONTROL AND MONITOR OF PRODUCT FILLING AUTOMATION SYSTEM IN PLC-BASED PACKAGING USING HMI OMRON NB7W-TW00B Sri Kusumastuti
JAICT Vol 7, No 2 (2022)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v7i2.3937

Abstract

This study aims to design and create an automation system for filling products into packaging. PLC CP1E-N30DR-A system can be controlled and monitored via Omron NB7W-TW00B HMI. HMI programming using NB-Designer software. The product used is a steel ball. The number of steel balls is set via HMI.  The HMI screen display consists of inputs: Push Button Start, Push Button Stop, input the number of products in the packaging, packaging sensor, and steel ball sensor; outputs: conveyor and counter display. The test results show that HMI could provide variations in the number of products in the packaging. The present value counter can be displayed on the HMI. The control and monitor automation system of filling the product in the packaging worked well.  
VEGETABLE TYPE CLASSIFICATION USING NAIVE BAYES ALGORITHM BASED ON IMAGE PROCESSING Hanny Nurrani; Andi Kurniawan Nugroho; Sri Heranurweni; Eko Supriyanto; Generousdi -
JAICT Vol 7, No 2 (2022)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v7i2.3762

Abstract

There are so many different varieties of vegetables in Indonesia that the sorting procedure presents difficulties. In an effort to expedite the introduction of smart farming in Indonesia, more agricultural assistance techniques will be created. Utilizing the Naive Bayes algorithm is one way that may be used to advance agriculture in Indonesia. Image processing consists of converting RGB images to grayscale images, segmenting images using the thresholding method, collecting image features based on the HSV average value and object area, and classifying pictures using the Naive Bayes algorithm. This research seeks to use image processing technologies to agricultural products, particularly vegetables. The system is comprised of a single picture captured by a digital camera. There were eight varieties of vegetables employed for the picture data, with a total of eighty consisting of 64 training data and 16 test data. Spinach, green chilies, red chilies, chayote, cucumber, eggplant, tomatoes, and carrots were the vegetables categorized. The categorization findings indicate that 87.5 % of the test values produced using this approach are accurate. This study demonstrates that the Naive Bayes method has a high degree of accuracy for the categorization of vegetables based on image processing. It is anticipated that the findings of this study would promote the implementation of smart farming 4.0 in Indonesia.
Improved C45 performance with gain ratio for credit approval dataset Ivandari Ivandari; M Adib Al Karomi; Much. Rifqi Maulana
JAICT Vol 7, No 2 (2022)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v7i2.3978

Abstract

Abstract— People's shopping behavior has undergone many changes after the COVID-19 pandemic. Many people have switched to using the marketplace to make buying and selling transactions. The payment process in the marketplace is relatively easy, especially when using a credit card. The increase in demand for credit must be addressed better by financial providers to minimize bad loans. The best thing in minimizing bad credit is to be more selective in choosing credit customers. Data mining is a field that can study old data to become new knowledge in the future. In data mining, the classification of bad credit customers is mostly done. One of the algorithms that excels in handling credit approval datasets is C45. The C45 model is widely used because it has an output decision tree that is easier to understand in human language. The number of data attributes can affect the performance of the algorithm. Feature selection is a form of attribute reduction to improve data quality and improve classification algorithm performance. Gain ratio is the development of information gain and is the best feature selection model and is widely used by researchers. This study performs a classification using C45 and uses a gain ratio for the selection of credit approval data features. By using the gain ratio, the accuracy of the C45 classification algorithm increased from the previous 94.12% to 95.29%.
COMPARISON ANALYSIS PERFORMANCE OF SYNOLOGY NAS AND XIGMANAS WITH RAID CONFIGURATION Fatria Ikram Majid
JAICT Vol 7, No 2 (2022)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v7i2.3774

Abstract

This research is to find out which NAS performance is the best in handling file delivery with RAID configuration, the methods needed in this test include transfer rate parameters, CPU and Memory resource usage, and QoS which includes throughput, delay, and packet loss by uploading and testing. download with variations in different file capacities. The results showed that synology is better in the transfer rate parameters of both RAID configurations, both upload and download, with the delivery of variations in file capacity delivery with an average transfer rate of 116-118MBps, and xigmanas 97-118MBps. In the resource usage parameter, the percentage of resource usage in both RAID configurations with testing upload or download xigmanas is lower with CPU usage 22%, memory usage 1.4-1.5GB or 30%, compared to synology CPU 30-34%, with CPU usage memory 190-201MB or about 42%. On the parameters of QoS throughput xigmanas 780-930Mbit/s, and Synology >800Mbit/s (standard >75% very good) from both upload and download RAID configurations. The average delay of both servers is 0.03ms (standard <150ms is very good), and packetloss is 0 (standard 0% is very good) on both servers from upload and download tests. QoS results from both servers are in very good category according to TIPHON standards
Rear Dump Truck Measurement Design Using Laser For Loading Process Automation Muhammad Irwan Yanwari; I Ketut Agung Enriko
JAICT Vol 7, No 2 (2022)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v7i2.3648

Abstract

Transportation of goods using trucks is an irreplaceable method. However, it is undeniable that the truck-based method of transporting goods often attracts controversies, such as over-loading and products containing hazardous chemicals. This makes the need for automation of loading goods to trucks so that intentional or unintentional errors such as overloading and damage caused when an accident occurs in the process of loading chemical goods can be minimized. Of the four stages proposed in the automation process, namely (1) Trucks enter the cargo loading area, (2) Measurement of the volume or capacity of the vessel, (3) Calculation of the ideal arrangement of products on the vessel, and (4) The process of loading goods using a robotic devices. This article contains the design process for measuring the volume or capacity of the vessel. The measurement process is carried out using a plus (+) laser module and the steps taken in the measurement process are scanning the vessel that is highlighted using the laser module at several angles using a camera and calculating the length, width, and height of the body using trigonometric formulas. With the automation of loading goods, it is hoped that human intervention in the loading and unloading process can be eliminated so that errors that may occur can be minimized.
IoT Smart Health for Monitoring and Control of Temperature and Humidity of Vaccine and Drug Storage based on Android at Health Center Sindung HW Sasono; Ari Sriyanto Nugroho; Eko Supriyanto; Abu Hasan
JAICT Vol 7, No 2 (2022)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v7i2.3911

Abstract

Abstract—Pharmacy service is one of the activities at the puskesmas (Public Health Center) that supports quality health services. One of the pharmaceutical activities is the storage of drugs and vaccines. The drug and vaccine storage room pays great attention to conditions, temperature sanitation, light, humidity, ventilation, to ensure product quality and staff safety. Most of the drugs in the puskesmas should be stored at room temperature between 18-28°C and air humidity 40% - 60%. The monitoring system built uses DHT22 as a room temperature and humidity detector. The sensor output is connected to the NodeMCU ESP8266 which acts as a microcontroller. While the control system uses a relay module as a liaison for the AC remote control and as an automatic switch. The room temperature and humidity control test is carried out using an existing air conditioner for the power on/off and temperature up/down functions. In addition, testing of room temperature and humidity control uses 2 different AC brands from 2 rooms. The test was carried out in the drug and vaccine storage room at the Pudak Payung Public Health Center. The test results show that the sensor can record data accurately and can be integrated with the transceiver device properly. Sending sensor data to the database has an average delay at each node of 21 seconds and sending sensor data to the database has good data loss quality, namely 9.68% for the vaccine room node, 13.4% for the medicine room, and the average temperature and humidity. Vaccine room is 24°C and 60%, while in Medicine room is 26°C and 50%. And the average temperature and humidity in the Vaccine room were 24°C and 60%, while in the Medicine room it was 26°C and 50%. This difference occurs due to several factors such as the location of the room, the area of the room, and the number of people in the roomAbstract—Pharmacy service is one of the activities at the puskesmas (Public Health Center) that supports quality health services. One of the pharmaceutical activities is the storage of drugs and vaccines. The drug and vaccine storage room pays great attention to conditions, temperature sanitation, light, humidity, ventilation, to ensure product quality and staff safety. Most of the drugs in the puskesmas should be stored at room temperature between 18-28°C and air humidity 40% - 60%. The monitoring system built uses DHT22 as a room temperature and humidity detector. The sensor output is connected to the NodeMCU ESP8266 which acts as a microcontroller. While the control system uses a relay module as a liaison for the AC remote control and as an automatic switch. The room temperature and humidity control test is carried out using an existing air conditioner for the power on/off and temperature up/down functions. In addition, testing of room temperature and humidity control uses 2 different AC brands from 2 rooms. The test was carried out in the drug and vaccine storage room at the Pudak Payung Public Health Center. The test results show that the sensor can record data accurately and can be integrated with the transceiver device properly. Sending sensor data to the database has an average delay at each node of 21 seconds and sending sensor data to the database has good data loss quality, namely 9.68% for the vaccine room node, 13.4% for the medicine room, and the average temperature and humidity. Vaccine room is 24°C and 60%, while in Medicine room is 26°C and 50%. And the average temperature and humidity in the Vaccine room were 24°C and 60%, while in the Medicine room it was 26°C and 50%. This difference occurs due to several factors such as the location of the room, the area of the room, and the number of people in the room.

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