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Helmy, S.T., M.Eng
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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 5 Documents
 1 
Search results for , issue "Vol 6, No 1 (2021)" : 5 Documents clear
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
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.
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

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