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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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Air Quality Monitoring and Decision Support System Using IoT Agus Alwi Mashuri
JAICT Vol 6, No 1 (2021)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v6i1.2193

Abstract

Air is one of the most important elements of life for living things in the world. For humans, the air is an element that is very concerned because it is related to health. In Jakarta, the Air Pollution Standard Index (ISPU) is ranked second as the capital city of a country with poor air quality. Air quality in Jakarta is monitored by an Air Quality Index (AQI) of 160 with parameters in the form of very small pollutant particles with a diameter of fewer than 2.8 micrometres (PM 2.8). The purpose of this research is how we make a tool that can determine the quality of the air around us and can be carried (portable) anywhere easily. In accordance with the 4.0 industrial revolution that everything has been integrated with the Internet of Things (IoT) technology where the public can find out the air condition in real-time. In this study, the prototype method is used as a test. The main components are sensors consisting of MQ-6 (CO2 and smoke), MQ-7 (CO, LPG, CH4), MQ135 (Butane, AirQuality), and DHT-11 (Humidity, temperature). From the research that has been done where the air quality in urban areas has a low air quality index by measuring it using a prototype consisting of a gas sensor and Arduino microcontroller, which has been made to produce an average CO2 of 25 ppm, CO 2330 which has exceeded the threshold, while NH3 1.23 and C4H10 1120 are still below the threshold. These values are influenced by pollutants generated by transportation such as motorbikes, cars, and land transportation
IMPROVING COMMUNICATION CAPABILITY ASK FOR AUTISM CHILDREN THROUGH MEDIA PECS BASED ANIMATED PICTURE Sattriedi Wahyu Binabar; Taryadi Taryadi; Dicke JSH. Siregar
JAICT Vol 5, No 2 (2020)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v5i2.1974

Abstract

The number of children suffering from autism from year to year is increasing. Autism Spectrum Disorders (ASD) is autism that occurs in childhood in the form of disorders characterized by disorders that affect language and communication, imagination and flexibility of thought and socialism. One way to improve communication skills, especially the ability to ask is to use the help of computer software. In this study, the PECS (Picture Exchange Communication System) method with the help of animation to attract the attention of ASD children. The results obtained were an increase of 70% communication ability to request from ASD children who were the object of research.
Tf*Idf and Random Walk For Term Candidate Selection On Automatic Subject Indexing Nurseno Bayu Aji; Musta'inul Abdi; Ardon Rakhmadi
JAICT Vol 6, No 1 (2021)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v6i1.2436

Abstract

Subject indexing is the act of describing or classifying a document by index terms or other symbols in order to indicate what the document is about, to summarize its content or to increase its findability. The selection of term candidate on automatic subject indexing is very important, because it can influence the result of topic extraction on document. Recently on the automatic subject indexing especially in the term candidate selection only consider terms in the document collection. In contrast, indexer prefers to choose general term on manual subject indexing for selection of term candidate. In this paper, we proposed a new strategy for selecting term candidate on automatic subject indexing for extraction the main topic from the document. The proposed method uses a combination of Term Frequency Inverse Document Frequency (TF*IDF) and Random Walk on the structure of thesaurus. Experimental results show that the proposed method can select the terms candidate that relevant to the topic of the document with F-Measure of 0.24.
Analysis of Tuberculosis (TB) on X-ray Image Using SURF Feature Extraction and the K-Nearest Neighbor (KNN) Classification Method Reyhan Achmad Rizal; Nurlela Octavia Purba; Lidya Aprilla Siregar; Kristina Sinaga; Nur Azizah
JAICT Vol 5, No 2 (2020)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v5i2.1979

Abstract

With current technological developments, machine learning has become one of the most popular methods, one of the popular machine learning algorithms is k-nearest neighbors (KNN). Machine learning has been widely used in the medical field to analyze medical datasets, in this study the k-nearest neighbors (KNN) machine learning algorithm will be used because of its good level of accuracy in recognition and is included in the supervised learning algorithm group. The results showed the k-nearest neighbors (KNN) method in recognizing x-ray images of tuberculosis (TB) using SURF feature extraction with an average accuracy of 73%.
Fuzzy Integration to Standard Calculation of K-Nearest Neighbour Attributes M Adib Al Karomi; Ivandari Ivandari
JAICT Vol 5, No 2 (2020)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v5i2.1984

Abstract

The development of information and data in the era of the industrial revolution 4.0 is very fast. Researchers, institutions and even industry are competing to find and utilize methods in data processing that are more effective and efficient. In data mining classification, there are several best methods and are widely used by researchers. One of them is K-Nearest Neighbor (KNN). The calculation process in the KNN algorithm is carried out by comparing the testing data to all existing training data. This comparison is generally symbolized by the value of closeness or similarity between attribute records. The KNN method is proven to be good for handling large datasets and datasets with many attributes. One of the drawbacks in calculating the similarity of the KNN is that if there are attributes with a large range value, the similarity value will also be large. Conversely, if the range in an attribute is small, the similarity is also small. This condition is clearly unfair considering the types of attributes in the current data vary widely. One solution to this problem is to use standardization for all existing data attributes. Fuzzy is a model introduced by Prof. Zadeh which allows a faint value to be a value between 1 and 0. In this study the fuzzy model will be integrated in the KNN similarity calculation to obtain standardization of all data attributes. The results show that the use of the KNN algorithm in the classification of credit approval has an accuracy rate of 91.83%.
Design of a Water Sprinkler System and Monitoring of Soil Moisture in Potato Cultivation of the Kledung Horticulture Seed Center based on the Internet of Things (IoT) Eko Supriyanto; Endro Wasito; Abu Hasan; Dhea Ernanda; Karenza Balqis
JAICT Vol 5, No 2 (2020)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v5i2.2023

Abstract

Potato is one of horticultural commodities that plays an important role to assure food security, mostly upper place such as plateau. Monitoring soil’s moisture and soil’s pH in potato plant tendance is the key point for good growth and development of potatoes. Soil moisture in a land is affected by the level of water contain in the soil. For that reason automatic monitoring system is needed to observe the land condition where the potato seedling is planted and a moisture control system that can ease the work. 40% to 70% of soil moisture is ideal for potatoes plant. The development of this design make use of wireless fidelity (wifi). This device keep the dampnes know less than 40%. If it’s less than 40%, the sensor will detected so the watering system will running and system will stop if reaching 70%. This design can monitor pH, temperature and humidity through the android application. With an accuracy level of the pH sensor for measuring 95.85% of acidity, the capacitive sensor for measuring soil moisture is 96.6% and DHT11 for measuring temperature and humidity at 99.75%.
Monitoring System Of Parking Land Availability And Number Of Cars In Web-Based Parking Place On The Smart Parking System Miftavinda Farah Diba
JAICT Vol 6, No 1 (2021)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v6i1.2058

Abstract

According to data obtained from the website www.bps.go.id, the total number of motorized vehicles in Indonesia in 2018 was 146,858,759. The result of the increase in the number of motorized vehicles is that it is increasingly difficult to find parking space. People also often experience difficulties when finding which parking lot is still empty because there is no information about the state of the parking lot. Based on these problems, people need a system to check the parking lots available by utilizing the Internet of Things (IoT). Smart Parking Monitoring System is a web-based parking monitoring system that displays real-time parking availability information. The data was collected by simulating parking the car in the parking lot. Monitoring data transmission from the sensor node to the server is done using Wireshark software. The test results of the propagation time that occur in the data transmission process for an interval of 1 minute 15 seconds and the 5-second data transmission interval are 5053 milliseconds. The average value of the propagation time that occurs in the process of receiving data from the server is 197 milliseconds.
Method And Implementation of MPLS Tunnel Selection On Nokia Metro-E Devices R. Muhammad Arifin
JAICT Vol 6, No 1 (2021)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v6i1.2632

Abstract

Tunneling is an interconnection solution between local networks separated by remote over a public IP. The current issue does not have proper guidelines for using tunneling techniques. Tunneling selection is generally only based on the beliefs and experience of network management operators or following SOP. The brand of tunneling device is widely used by telecommunication operators in Indonesia (especially P. Java) is Nokia. In this study, implementation, testing and analysis of MPLS techniques on Nokia devices to produce recommendations when to use MPLS tunnels according to network topology appropriately. The software used in this study was FTP, Tfgen and Wireshark. FTP and Tfgen as network traffic generators and Wireshark to record throughput, delay and downtime. Analysis of MPLS on Nokia devices is conducted based on recording results for various traffic engineering scenarios including loadless conditions, and various other conditions in case of network disruption. Mpls research results when without load all went well with an average throughput of 1.08 Mbps and delay of 10 ms. When with load has a stability delay of 10 ms, when when network disruption using ICMP get 1 Request Time Out or 4s. MPLS techniques are used on established networks because it can provide alternative density lines.
Classification of Covid-19 Survillance Datasets using the Decision Tree Algorithm ivandari Ivandari; M. Adib Al Karomi
JAICT Vol 6, No 1 (2021)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v6i1.2896

Abstract

Covid-19 is a new type of mutated virus that has been discovered and studied throughout the world. For the time being, no effective drug has been found to treat or prevent this disease. One way that governments around the world are doing is limiting physical contact with people with COVID-19. Data mining is a computer science to study data and perform extraction to get new knowledge. One technique in data mining is classification. C45 is one of the best classification algorithms. The result of the c45 algorithm can be a decision tree. Decision trees are used because the results can be well represented. and can be easily understood in human language. This study classified the Covid-19 surveillance dataset using the Decission tree. The Covid-19 surveillance dataset was obtained from a public data portal, namely the UCI machine learning repository. This study resulted in better accuracy than previous studies using the same dataset. The level of accuracy obtained by using the decision tree algorithm is 65%. Although in this study the accuracy value has increased by 10%, the level of accuracy is still relatively low. The low level of accuracy is due to the dataset used only has 7 attributes and 14 records
Touchless Electronic Device Control Design Sri Kusumastuti
JAICT Vol 7, No 1 (2022)
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/jaict.v7i1.3147

Abstract

Transmission of COVID-19 occurs between humans through droplets or splashes of body fluids containing SARS-CoV-2 particles. If a COVID-19 patient does not cover his mouth and nose when coughing or sneezing, the patient will emit droplets containing the virus. Droplets can stick to the patient's hands and surrounding items. Anyone can get the virus when shaking hands or touching items that have the virus and contracting the virus if they touch their eyes, nose, or mouth without washing their hands first. In public places such as schools, offices, and hospitals, many pieces of equipment are controlled using the help/touch of a hand. The use of equipment in public places by many vulnerable people is the cause of the rapid spread of infectious diseases. The research that will be carried out is to design and manufacture tools to control equipment without touching hands to prevent the spread of infectious diseases. The controlled equipment consists of water faucets, lights, fans, and curtains. The lights, fans, and water faucets are controlled using palm movements with the max distance from the Smart IR Switch being 11 cm. If there is palm movement within the working range of the Smart Switch IR, the solenoid valve, lights and fans will change from their previous conditions. If the initial condition is 'off' it will change to 'on' or vice versa. The curtain is controlled using palm movements with the max distance to the GP2Y0A21YK0F IR sensor being 10 cm. If there is palm movement within the working range of the GP2Y0A21YK0F IR sensor then the curtain will change from its previous condition. If the initial condition of the closed curtain changes to open or vice versa.

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