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INDONESIA
INFOKUM
Published by SEAN INSTITUTE
ISSN : 23029706     EISSN : 27224635     DOI : -
Core Subject : Science,
Computer Science & IT
The INFOKUM a scientific journal of Decision support sistem , expert system and artificial inteligens which includes scholarly writings on pure research and applied research in the field of information systems and information technology as well as a review-general review of the development of the theory, methods, and related applied sciences. Software Engineering. Image Processing Datamining Artificial Neural Networks
Arjuna Subject : Ilmu Komputer (semua kategori) - Kecerdasan Buatan
Articles 842 Documents
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AUTOMATIC FISH SORTER WITH MICROCONTROLLER BASED SUGENO FUZZY LOGIC Rakhmat Kurniawan R; Muhammad Siddik Hasibuan; Ivan Prayuda
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Sorting is a stage carried out by fish farmers during the harvesting process. So it is a tool that can help farmers do sorting during the harvest process. Automatic fish sorting tool with Sugeno Fuzzy logic based on a microcontroller is one solution to assist farmers in sorting. With this system we can reduce errors that often occur in the manual sorting process. The main cause of the manual sorting process is that many fish do not match market needs. This system is only used for the process of harvesting catfish for consumption. There are three classifications of weight categories on these tools including small, adequate and large, in the range of values ​​0-120g, moderately in the range of values ​​of 121-200g and large in the range of values ​​of 201-1000g. This study uses the Sugeno Fuzzy logic method because this method is suitable for use in most real-time problems such as making decisions to find things that are volatile and less certain. In this system there is a microcontroller that has been implanted with Sugeno Fuzzy logic. The sorting process is carried out using a Load Cell sensor as a fish weight counter and assisted by servo movement and the sorting results will be displayed on a 4x20 LCD.
Influence of Demographics for Prediction of Election Participation Using Logistic Regression Algorithm Rahmi Aulia Barlian; Arif Senja Fitrani; Metatia Intan Mauliana
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Indonesia is a democratic country for General Elections (Election) which are carried out directly, freely, confidentially, honestly, and fairly. Several stages of the election, among others, begin with compiling a permanent voter list (DPT), determination of polling stations (TPS), and recapitulating election results. Various factors, including the demographic factor, can affect citizen participation in the general election. Demographic data covers Energy, Geographic, Education, Health, Population, Economy, Communication, and Transportation factors. This study tries to combine election data with demographic data taken from the official website of the Central Statistics Agency (BPS) of Mojokerto Regency and data on the results of the 2019 Election calculations taken from the official website of the General Election Commission (KPU) of Mojokerto Regency. Preprocessing steps are data cleaning, data integration, and correlation attributes for a more optimal presentation of the dataset and the distribution of four split datasets (training data and testing data) to find the best results. Implementation of classification method with Logistic Regression (LR) algorithm to predict community participation at the TPS level. From the test results of four split datasets, the highest predictive value was 64.80% in composition 3 with a ratio of 80:20, where 127 data were labeled low, and 291 data were labeled high.
Prediction of Hotel Booking Cancellation Using K-Nearest Neighbors (K-NN) Algorithm and Synthetic Minority Over-Sampling Technique (SMOTE) Adli Abdillah Nababan; Miftahul Jannah; Arif Hamied Nababan
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Cancellation of bookings puts considerable pressure on management decisions, in this case from the hospitality industry. Cancellation of bookings limits the correct prediction and is, therefore, a very important tool for revenue management performance. However, in recent times, thanks to the availability of considerable computing power through machine learning approaches, it has become possible to create more accurate models for predicting booking cancellations compared to using more traditional methods. Previous research has used several machine learning approaches, such as Decision Tree, Support Vector Machine, Deep Neural Network, Logistic Regression, and Random Forest to predict hotel cancellations. However, they have not addressed the class imbalance problem that exists in predicting hotel cancellations. In this study, we have provided a solution by introducing an oversampling technique to solve the class imbalance problem, together with the k-nearest neighbors algorithm to predict hotel booking cancellations better. The results of this study show that an increase in the performance of the method's accuracy increased by 3.88%, precision increased by 9.00%, recall increased by 10.00%, and F1-Score increased by 10.00% in the hotel booking dataset. It can be concluded that the SMOTE method with KNN has a better performance than only using the KNN method in predicting the cancellation of hotel reservations.
PLAGIARISM DETECTION IN RESEARCH OF LECTURERS AND STUDENTS AT BUDI DARMA UNIVERSITY APPLYING THE TURBO ALGORITHM BOYER MOORE Alwin Fau; Nelly Astuti Hasibuan
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Research conducted by students or lecturers is a form of creativity and also a sense of sharing knowledge and experience with others. Research for a lecturer or lecturer is something that must be done by the lecturer because it is part of the lecturer's duties. Research for students is a step that must be carried out by every student at the time of completing studies in each study program that is being carried out. The form of research produced by students and lecturers is in the form of scientific articles. Scientific articles which are the result of research by lecturers and students will be published in certain journals depending on the researcher. Before the research of lecturers and students is published in a journal, the article needs to be checked first to avoid plagiarism in the research. Budi Darma University always has problems with that checking every article being researched by lecturers and students. This study will discuss how the processes and stages are carried out in checking lecturers and students. This research will produce an application that can be used by Budi Darma University in checking scientific articles. The results of checking plagiarism with the Turbo Boyer algorithm can detect more than 75%
AN ENHANCE DESIGN HEATING BIODIESEL PRODUCTION FROM OIL BASED ON ARDUINO MEGA Solly Aryza; Pristisal Wibowo; Deni Saputra
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Biodiesel energy is one of the alternative energies in the current era of global warming, which is needed by the community to meet renewable energy in electrical energy but is constrained by the unavailability of electricity which so far has only relied on PLN as a national electricity source. Especially the people who are in the interior who do not get electricity from PLN, while electricity has now become a primary need, which means that the community at this time must be served by electricity. Considering that Indonesia is the largest producer of palm oil in the world today, so the waste left behind is also getting bigger. This research was conducted to take advantage of this by utilizing waste, namely used cooking oil which is converted into biodiesel which will be used as fuel for Diesel Power Plants (PLTD). This research produces biodiesel B-100, which means the biodiesel is pure without a mixture of petroleum, by designing an automatic biodiesel processing device based on Arduino Mega. This study also analyzes how feasible B-100 biodiesel is for use in diesel-powered generators, by looking at the economic aspect, and of course also in the electronics aspect
AN ENHANCE SYSTEM SMART TOILET BASED ON RECYCLE GREEN CONTROL Solly Aryza; Siswa Pratama; Muhammad Ikbal
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Klambir 5 village is an underdeveloped area in North Sumatra in the current era of technology, technology is developing rapidly in the current era, along with the development of technology, there are impacts. Control of electronic equipment can be done with smart bathroom applications (smart badroom) controlling electronic equipment for water treatment is a very important requirement in the life of all living things, especially humans. In primary needs, water is used for drinking, washing, bathing and so on. In addition, water can also be used as a hydroelectric power plant, rice field irrigation system, transportation and others. The purpose of this study is to design a device that can control the output of water in the ablution tap and control the filling of the water reservoir. In designing this tool using Arduino Mega 2560 as data processor and keypad as well as water float sensor and Infrared Proximity Sensor as input and DC pump, relay and solenoid valve as output. With the design of this tool, it can fill the water reservoir automatically and can control the output of water in the ablution water faucet
DESIGN THE BEST ROUTE-SETTING APPLICATION IN MULTI-ORDER DELIVERY WITH SIMULATED ANNELING Angga Rizky. S; Muhammad Ikhsan; Armansyah Armansyah
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

A dispenser is a household appliance that is used by almost every Indonesian citizen, a dispenser is a household appliance that functions as a container for gallons of water to refill. Because water is a very promising need, the water refill gallon business is very rapidly developing, both water depot owners or consumers sometimes cannot know when the gallon water runs out unless they see it directly, sometimes due to dense activity so they cannot monitor repeatedly when the water is gallon. it ran out so research was carried out on the manufacture of automatic dispensers. To carry out the automation process, it is assisted by a microcontroller device called Wemos D1, besides that there are two sensors as sending messages, namely the ultrasonic sensor and the infrared tcrt 5500 sensor with the help of an Android-based application so that water notifications run out on the smartphone. In addition, to calculate the messages sent through the sensor, the fuzzy logic method is used. After testing in this study, the ultrasonic sensor sends a message for water conditions in gallons and has a vulnerable value (0 - 40) 0 is a full gallon and 40 is an exhausted gallon. While the infrared tcrt 5500 sensor sends a message for gallon conditions and has a vulnerable value (100-1000) 100 is the value of gallons installed (GTS) and 1000 is the value of gallons not installed (GTT), it can be concluded that the applied method can determine the water condition used up and the condition of the gallon that is not installed and the accuracy obtained is 98%.
DEVELOPMENT OF AGRICULTURAL AND LIVESTOCK PRODUCT SALES SYSTEM FOR HOUSEWIVES IN KLAMBIR VILLAGE V KEBUN Zulfahmi Syahputra; Hendry Hendry; Ristra Sandra Ritonga
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

During the COVID-19 pandemic, the number of businesses decreased in terms of sales so that some businesses went bankrupt. The Housewives' Group in Klambir Village V Kebun has a business that sells agricultural and livestock products. However, buyers are still limited to knowing the products of these businesses. In providing information about the business of the housewife group in Klambir V Kebun Village. For that we need a method of presenting information on the distribution of small industries that is better and can display various small industries accompanied by information on sales of agricultural and livestock products. Geographic Information System (GIS) can solve this problem by displaying the location of small industries in Medan along with information related to displaying more attractive products that can be accessed by the public. The Geographic Information System (GIS) will display in web form, so that it can be easily accessed by the public in ordering chips via the internet.
ANALYSIS OF K-NEAREST NEIGHBOR METHODS IN DETECTING FAKE MONEY Vivin Yulfia Sarah; Zulham Sitorus; Zulfahmi Zulfahmi
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Money plays a very important role in human life. In the history of human civilization, money has played all the roles of paper money. Not only the symbol of the state, but also a tool that can unite one country to another. It has also become an economic management tool. The Indonesian government has an Indonesian bank that has appointed a printer that specializes in printing money. Only money issued by official and legal banks in Indonesia can be used as legal tender. This research is designed to identify and verify fake and genuine banknotes. This approach consists of several steps, including image acquisition and grayscale conversion, active contour, histogram, image extraction. This study uses banknotes of Rp. 100,000; as the object of research. The results of image processing that have been carried out, it can be concluded that to detect counterfeit money or the authenticity of banknotes can be done based on the watermark on the money which can be imaged using Matlab by performing computational digital image processing, namely grayscale conversion, active contour, histogram, image extraction. The accuracy results obtained from the evaluation of the authenticity of banknotes are 98.5%.
A DETECT PARTIAL DISCHARGE IN ISOLATOR USING A FLUKE ii910 SONIC INDUSTRIAL IMAGER IN PTR 03 FEEDER (SARIBU DOLOK) Akbar Primary S; Hamdani Hamdani; Siti Anisah
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Partial discharge is a very serious problem that should be monitored quickly. The cause of Partial discharge failure is due to the presence of voids filled with gas/air in the insulation material. Partial discharge can also be regarded as losses because it can reduce the quality of the insulation material. This study aims to detect partial discharge using the Fluke ii910 Sonic Industrial Imager. Tests in this study using descriptive quantitative research methods. From the tests that have been carried out, it can be concluded that using the Fluke ii910 Sonic Industrial Imager can make it easier to find partial discharges on the insulator and minimize the impact of interference caused by partial discharges

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