Journal of Artificial Intelligence and Engineering Applications (JAIEA)
The Journal of Artificial Intelligence and Engineering Applications (JAIEA) is a peer-reviewed journal. The JAIEA welcomes papers on broad aspects of Artificial Intelligence and Engineering which is an always hot topic to study, but not limited to, cognition and AI applications, engineering applications, mechatronic engineering, medical engineering, chemical engineering, civil engineering, industrial engineering, energy engineering, manufacturing engineering, mechanical engineering, applied sciences, AI and Human Sciences, AI and education, AI and robotics, automated reasoning and inference, case-based reasoning, computer vision, constraint processing, heuristic search, machine learning, multi-agent systems, and natural language processing. Publications in this journal produce reports that can solve problems based on intelligence, which can be proven to be more effective.
Articles
430 Documents
<![CDATA[Design And Development Of A Quality And Quantity Water Monitoring System For Water Tank Based On Internet Of Things ]]>
<![CDATA[Abdullah Rayni]]>;
<![CDATA[A M H Pardede]]>;
<![CDATA[Hasanul Khair]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
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DOI: 10.59934/jaiea.v3i1.319
<![CDATA[In the context of urban life, the quality and quantity of water stored in tanks play an indispensable role. However, concerns over the lack of effective monitoring of water conditions in tanks have garnered significant attention. This research aims to design a monitoring system utilizing Internet of Things (IoT) technology to ensure continuous monitoring of water quality and quantity within tanks. The study zeroes in on developing a solution that overcomes the limitations of traditional methods, known for their time and cost constraints. This solution hinges on a real-time monitoring system that integrates sensors and the NodeMCU ESP32 microcontroller. Measurements of water quality parameters, such as turbidity and total dissolved solids (TDS), along with assessments of water quantity through tank volume, are integrated into the system. Software development is carried out using the Arduino IDE platform. Through this research, an increased awareness of the importance of monitoring water quality in tanks is anticipated, and this solution is expected to make a significant contribution to the development of efficient and effective monitoring technology. Thus, a crucial step toward more accurate and up-to-date water monitoring in urban environments can be achieved.]]>
<![CDATA[Application Of Vikor Method To Determine The Location Of Election And Election Care Villages ]]>
<![CDATA[Winda Amanda]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
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DOI: 10.59934/jaiea.v3i1.323
<![CDATA[General elections are the core of the democratic process which involves active community participation. In order to realize optimal participation, it is necessary to make efforts to increase public awareness and participation in elections and elections. One effective way is to identify strategic locations to implement the "Village Care for Elections and Elections" program. This study aims to apply the VIKOR method (VlseKriterijumska Optimizacija I Kompromisno Resenje) in determining the optimal location for the program. The VIKOR method is used as an analytical tool in considering several relevant criteria, such as the level of previous participation, the level of political awareness, the accessibility of the location, and the level of local government support. These data are evaluated and analyzed to assign a ranking to each potential location. Application steps include data collection, normalization, calculating VIKOR scores, and determining ranking. The results of this research provide clear guidance in determining the most suitable location for the "Election and Election Care Village" program. The selected location is the result of a compromise that considers all relevant criteria. It is hoped that the results of this research can become a basis for local governments or related institutions to allocate resources more effectively in order to increase people's participation in the democratic process.]]>
<![CDATA[Prediction Of New Students Using The Exponential Smoothing Method (Case Study: STMIK Kaputama) ]]>
<![CDATA[Tria Pusvita Dewi]]>;
<![CDATA[A M H Pardede]]>;
<![CDATA[I Gusti Prahmana]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
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DOI: 10.59934/jaiea.v3i1.325
<![CDATA[With this prediction system for the number of new students, it functions to determine the priority of how many new students will be accepted in the following year. For each new teaching according to the factual and quite accurate new student data reports by implementing a computerized system, the data processing will be more precise and reduce errors in predicting it. This prediction will provide an overview based on the trend of the number of new students at STMIK KAPUTAMA. The method used is the exponential smoothing method by looking for how big the error is with different alpha values, namely 0.1 to 0.9. Each alpha tested will give different results. The purpose of the above calculation is to find out (a) alpha which produces the smallest forecast error. By taking data on the number of new students in the previous period, forecasting by determining the value of weight (a) alpha. The value of weight (a) alpha depends on the number of new students, where the nature of this forecasting determination of the value that is closest to the actual conditions. The forecasting results above are the closest to the overall number of new students alpha 0.9 is 1,207.9 and forecast error is 15.75.]]>
<![CDATA[Diagnosing a Paper Dryer Malfunction in PT.Bamindo Agrapersada Using the Method DecisionTree ]]>
<![CDATA[Jurdan Ariga]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
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DOI: 10.59934/jaiea.v3i1.326
<![CDATA[PT. BAMINDO AGRAPERSADA is a private company that processes bamboo into paper and sells it to consumers. In an industrial field, problems often occur to overcome damage to paper drying machines because mechanics are difficult to find and sometimes time is not possible so that operations are hampered while production targets must be completed immediately. Decision Tree which is a tree that is used as a reasoning procedure to get answers to the problems entered. Decision trees provide a way to present algorithms with conditional control statements that include branches in decision-making steps that lead to a favorable outcome. With the Decission Tree, it can minimize damage to the paper drying machine and help solve problems in the PT. BAMINDO AGRAPERSADA industry.]]>
<![CDATA[Design and Build a System for Turning on an IoT-Based Motorcycle Starter Using Voice ]]>
<![CDATA[Muhammad Alfanny]]>;
<![CDATA[Achmad Fauzi]]>;
<![CDATA[Hermansyah Sembiring]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
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DOI: 10.59934/jaiea.v3i1.328
<![CDATA[Motorcycles require maintenance, especially on the engine, by always heating the motorcycle before use or when not in use. However, sometimes someone is lazy to warm up the motorcycle engine. The aim is to make it easier for users to warm up the motorcycle engine to avoid damage to the engine and make it easier for motorcycle users if the electric starter on the motorbike is damaged. Research using the IoT-based google assistant uses NodeMCU 8266 connected to an Android smartphone to start motorbikes automatically. Based on the research results this tool can function properly. The conclusion of the study is that the motorcycle starter system with a smartphone control system can avoid damage to the motorcycle engine, and makes it easier for users to start the motorcycle if the electric starter is damaged.]]>
<![CDATA[Monitoring The Temperature And Humidity Air In The Room Using A Sensor IOT-Based DHT-11 ]]>
<![CDATA[Rizki juli syahputra]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
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DOI: 10.59934/jaiea.v3i1.329
<![CDATA[Air is an important element in everyday life.Therefore the air must have quality so as not to have a negative impact on the body. Low air humidity can cause drying of the air membranes, and if the air humidity in a room is too high it can result in high growth of microorganisms. Abnormal humidity levels can become a respiratory problem and interfere with human health. The temperature and humidity monitoring device is designed based on the NodeMCU ESP8266 and the DHT-11 sensor to measure air temperature and humidity. This study aims to make it easier to know the temperature and humidity in real-time. A temperature and humidity monitoring tool based on NodeMCU ESP8266 is designed with a DHT-11 sensor to measure air temperature and humidity. temperature and humidity air monitoring results will then be sent via a wifi network connection and displayed on an Android smartphone.]]>
<![CDATA[Design Of Electric Switching Systems For Electronic Equipment In Home Based Internet of Thing (IoT) ]]>
<![CDATA[GOESTI MESKANA PELAWI PELAWI]]>;
<![CDATA[ACHMAD FAUZI]]>;
<![CDATA[MILLI ALFHI SYARI]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
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DOI: 10.59934/jaiea.v3i1.332
<![CDATA[The tool for designing an IoT-based electronic equipment switch system has been designed. This system uses the NodeMCU ESP 8266 microcontroller where the NodeMCU ESP8266 functions as a data processor, and also as a receiver for wi-fi networks emitted by wi-fi network systems. This tool system uses a control system using an Android smartphone to turn on and off switches for electronic devices at home, this tool uses a Wi-Fi network communication system so that the device system and Android smartphone can be connected, in this tool system it uses a DC fan and incandescent lamps as outputs. connected to an electrical switch system, and the switch can turn on and turn off electronic devices on designed devices. The smartphone application used in this design is the Blynk application which can be downloaded at Playstore or Google.com. This tool is expected to help and facilitate humans in controlling electronic equipment at home both at home and when traveling.]]>
<![CDATA[Digital Signature Security Analysis By Applying The Elgamal Algorithm And The Idea Method ]]>
<![CDATA[Rizka Khairani Lubis]]>;
<![CDATA[A M H Pardede]]>;
<![CDATA[Husnul Khair]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
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DOI: 10.59934/jaiea.v3i1.336
<![CDATA[The development of an all-digital era, all activities use digital technology. Including signatures, hands are no longer manual now, signatures can be modified digitally. The application of digital signatures can be used to allow for document authenticity issues. The signature combines two methods namely Elgamal Algorithm and IDEA. The Elgamal algorithm is used to encrypt and decrypt signatures. The IDEA algorithm is used to strengthen signatures so that others don't modify them. The signature process begins with generating the public and private keys. The process of generating public keys (p,q,g,y) and private keys. With the signature of a binary document that is given by the sender to the recipient, the authenticity of the contents of the file, the identity of the sender, and the files that have been received by the recipient can be guaranteed. Affixing a digital signature is done by encrypting it with the sender's private key. In this way, checking the authenticity of documents and senders can be done.]]>
<![CDATA[Design Of An LPG Leak Detection System Using Iot Based MQ-2 Sensor ]]>
<![CDATA[Mhd. Iqbal Prananda]]>;
<![CDATA[Siswan Syahputra]]>;
<![CDATA[Mili Alfhi Syari]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
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DOI: 10.59934/jaiea.v3i1.337
<![CDATA[The IoT-based LPG gas leak detection system with MQ-2 and automatic regulator aperture is designed to protect the environment from the dangers of gas leaks and optimize gas use. The MQ-2 sensor is used to detect LPG gas accurately and sensitively. This system is connected to IoT which allows remote monitoring via smart devices. When the sensor detects that the LPG gas concentration exceeds a safe threshold, the system will send an alert with notification and automatically activate the regulator to cut off the gas supply. This helps prevent the accumulation of harmful gases. This design combines reliable gas detection with automatic operation to improve environmental safety and gas efficiency. LPG gas is very commonly used by the community because it has many advantages, but there are also many risks associated with using LPG gas, such as poisoning, shortness of breath and even fire. It is therefore important to have a leak detection system to prevent accidents that may occur, by integrating the programmable MQ-2 sensor and NoteMCU ESP8266.]]>
<![CDATA[Academic Performance Assessment Prediction Model Using the Adaptive Neuro-Fuzzy Inference System Method ]]>
<![CDATA[Mardi Turnip]]>;
<![CDATA[M. Arif Almahdi]]>;
<![CDATA[Timi Tampubolon]]>;
<![CDATA[Ade Irma Suryani]]>;
<![CDATA[Astri Milleniar Marbun]]>;
<![CDATA[Cindy Cynthia]]>;
<![CDATA[Ester Ayu S. Marpaung]]>
<![CDATA[ Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 3 No. 1 (2023): October 2023 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
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DOI: 10.59934/jaiea.v3i1.340
<![CDATA[Performance evaluation of Human Resources is an important part of an organization or company. One of the HR in tertiary institutions that must be evaluated is academic performance. The author conducted research on the factors of academic performance assessment. Therefore, we need a system that can classify academic performance optimally in order to improve the quality of academic performance. In this research, we construct a predictive model for academic ability evaluation using Adaptive Neuro-Fuzzy Inference System method. The ANFIS method shows a very good data accuracy of 92.20%. From each variable motivation to work appraisal show is a Good, competence to work appraisal = Good, compensation to work appraisal show is a Good, responsibility to work appraisal show is a Good, and job satisfaction to work assessment show is Good.]]>
