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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 84 Documents
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Search results for , issue "Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence" : 84 Documents clear
IMPLEMENTATION OF THE NAIVE BAYES ALGORITHM IN DETERMINING THE WEB-BASED TASTE RATING OF PROMISE JIWA COFFEE Ramayana Ramayana; Sri Mellyani; Yogi Yogi; Siti Aisyah Siti Aisyah
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Coffee drinks are very much in demand by many people starting from young people to parents, with that it raises the idea of ​​opportunities for the community to open a coffee drink business made with various kinds of coffee flavor collaborations, for example: milk coffee, pokat coffee, americano. One of them is the soul's promise coffee which has a lot of demand and requires a method to solve problems in obtaining data information on the most desirable types of coffee, namely using the naive bayes method so that entrepreneurs can provide coffee stocks. The existence of this method helps in analyzing the amount of data that is processed with a website-based system. So that the results from the sales data of Kopi Promise Jiwa Kopi are in great demand, namely the regular menu earl gray tea cup 0.81, large soy coffee latte and pandan coffee 0.52 cups, hot latte cups 0.11.
COMPARISON OF EXPONENTIAL SMOOTHING AND MULTIPLICATIVE SEASIONALITY METHODS FOR FORECASTING STUDENT GRADUATION BASED ON SEMESTER ACHIEVEMENT INDEX Muhammad Angga Prasetyo; Diana Krisdianti Hutagalung; Donni Nasution
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Forecasting is an important tool in effective and efficient planning. This method is a continuous improvement procedure for forecasting the latest observation objects. This forecasting method focuses on the exponential decrease in priority on the object of observation that is longer. This forecasting method can only predict from data in the form of horizontal data patterns. In this study, the authors will compare the Exponential Smoothing and Winter Multiplicative Seasonality methods, where the authors will use a sample in the form of a student achievement index, so that a conclusion will be drawn from the comparison of the two methods which is better in forecasting.
Design Of A Clustering System for the Spread of Dengue Fever in the CITY Medan Aisyah, Siti; Gultom, Valentina; Pasaribu, Erentika; br Bangun , Widia Yanti; Sihotang, Andri Saputra
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Demam Berdarah Dengue (DBD) adalah penyakit febril akut yang ditemukan didaerah tropis, disebabkan oleh virus dangue dari genus flavivirus, famili flaviviridae. Pada penelitian ini data yang digunakan pada tahun 2019 sampai tahun 2022 yang bersumber dari Dinas Kesehatan kota Medan yaitu sebanyak 21 kecamatan. Adapun tujuan dari penelitian ini untuk mengetahui suatu informasi daerah mana saja yang rentan dengan penyakit DBD. Penelitian ini menggunakan Metode Algoritma C-Means untuk melakukan perhitungan kelompok penyakit demam berdarah berdasarkan dataset yang didapat dari Dinas Kesehatan. Sehingga, hasil yang didapatkan dari dataset penyakit DBD pada 21 Kecamatan Di Kota Medan memiliki Iterasi pada pengujian data sebanyak 3 cluster. Pada proses pengelompokan, cluster 1 merupakan perhitungan paling tertingggi pada setiap kecamatan.
Comparison of Offline-Online-Blended Learning Models Using Agglomerative Hierarchical Clustering N. Priya Dharshinni; Darwis Darwis; Toni Toni; Ricki Ricki; Novitasari Novitasari; Putri Putri
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The pandemic has resulted in changes learning models over the last 3 years. Offline learning models in schools have changed to online learning due to the covid-19 pandemic and after the end of the covid-19 pandemic, many schools have implemented the blended learning model. The problem faced by the school is that it is unable to determine which learning model is the most effective to develop better learning methods for students. The purpose of this study was to compare offline, online, and blended learning models to determine effective learning methods based on student subject grades using agglomerative hierarchical clustering algorithms. The results of the study found that blended learning was the most understood learning by students compared to offline and online learning models which were seen from cluster results based on the good grade predicate category show that in offline learning the average value of students in the good grade predicate is 290 students and decrease to 219 students while using online learning and an increased drastically to 362 students after implementing blended learning. While the subjects that can be understood by students using offline, online and blended learning models are the subjects of Religion, Mathematics, and Natural Science.
DESIGNING E-FILING INFORMATION SYSTEM WITH MICROSOFT ACCESS BASED AT PT. USAHA GEDUNG MANDIRI Zubaidah Hanum; Iwan Kesuma Sihombing; Halimah Tusakdiah
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Company or organization needs a good archive system to keep the information or data from lost and easier to find anytime. It aims to make decisions and also becoming evidence and proof if there is problem and it could be made as management responsibility. This study aims to produce an information system for incoming and outgoing mails in Microsoft Access based which can operate mails information system at PT Usaha Gedung Mandiri. In Microsoft Access, we can design,create and manage database easily and fast. This information system design was made because of an unfinished problem in this company related to mails information system that was still traditional so that it encounter delays in giving the information. Furthermore, we can choose application program, mail information system design and design the information system used and then checking and test the design. The product of this application was an information system application with Microsoft office based which can easier and shorten time of users or employee in managing the data, saving incoming and outgoing mails, then provide mail information more effectively and efficiently.
IMPROVEMENT OF DIGITAL IMAGE USING A COMBINATION OF ALPHA TRIMMED MEAN FILTER AND ARITHMETIC MEAN FILTER Insidini Fawwaz; N P Dharshinni; Irfan Hindrawan
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The development of technology at this time causes the provision of information to increase through social media. Many social media users convey information by including digital images. Digital images are very important in conveying the accuracy of information. However, digital images often experience various disturbances, such as decreased pixel quality, less sharpness, blurring, and the appearance of noise in the image. Noise contained in the image causes a decrease in image quality. Image degradation can be caused by uneven light intensity and can also be caused by dirt adhering to the camera lens. There are various types of noise found in digital images, including Salt And Pepper Noise, Speckle Noise, and Rayleigh Noise. There are many filtering methods that can improve digital images from noise interference. Some of them are the Mean Filter method, Geometric Mean Filter, Harmonic Mean Filter, Arithmetic Mean Filter, Median Filter, Midpoint filter, Alpha Trimmed Mean Filter and so on. Based on the research conducted, the combination of the Alpha Trimmed Mean Filter and Arithmetic Mean Filter methods can reduce Salt and Pepper noise, Speckle noise and Rayleigh noise better than the Alpha Trimmed Mean Filter and Arithmetic Mean Filter methods based on the MSE, RMSE and PSNR parameters.
DESIGN INTERACTIVE ANIMATION RECOGNITION OF NUMBERS AND ALPHABETS FOR PLAYGROUP DEVRI SUHERDI; Rita Hamdani
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

This study aims to make conventional learning more interesting for students in playing groups with the help of an educational game. Educational games made are interesting's animations. Animations should have bright colors and cute characters. The animations are about recognizing letters and numbers and training children's memory. This educational game is design interactively so that teachers can help children complete the game. The teacher gives directions so that the child can complete the game. This application is made using Adobe Flash CS3 and can be run with a flash player.
ANIMATION BASED INTRODUCTION VIDEOS MOTION GRAPHIC KADIN NORTH SUMATRA Pandi Barita Nauli Simangunsong
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Animation is a moving image in the form of a set of objects (images) arranged in an orderly manner following a predetermined flow of movement at each additional count of time that occurs. The image can be in the form of images of living things, inanimate objects, or writing. The North Sumatran Chamber of Commerce and Industry (Kadin) desperately needs an attractive promotional media, so that people know and know about the North Sumatran Chamber of Commerce and Industry (Kadin). In the process of making animation, a story idea, scenario, and storyboard are needed. This animation provides and explains what the North Sumatran Chamber of Commerce and Industry (Kadin) is and explains the history of the North Sumatran Chamber of Commerce and Industry (Kadin). The process of making this animation uses Adobe After Effects CS6 and Adobe Illustrator CS6 software so that making this animation more interesting and understandable by the public. The North Sumatra Chamber of Commerce and Industry (Kadin) is a company engaged in services and industry, therefore this introduction animation is needed by the North Sumatran Chamber of Commerce and Industry (Kadin) in order to become a company that continues to grow and is well known throughout the world. Animation is a moving image in the form of a set of objects (images) arranged in an orderly manner following a predetermined flow of movement at each additional count of time that occurs. The image can be in the form of images of living things, inanimate objects, or writing. The North Sumatran Chamber of Commerce and Industry (Kadin) desperately needs an attractive promotional media, so that people know and know about the North Sumatran Chamber of Commerce and Industry (Kadin). In the process of making animation, a story idea, scenario, and storyboard are needed. This animation provides and explains what the North Sumatran Chamber of Commerce and Industry (Kadin) is and explains the history of the North Sumatran Chamber of Commerce and Industry (Kadin). The process of making this animation uses Adobe After Effects CS6 and Adobe Illustrator CS6 software so that making this animation more interesting and understandable by the public. The North Sumatra Chamber of Commerce and Industry (Kadin) is a company engaged in services and industry.
APPLICATION DESIGN FOR EVALUATION OF THE EFFECT OF RESEARCH VARIABLES AND THEIR IMPACT USING PEARSON PRODUCT MOMENT AND SIMPLE LINEAR REGRESSION Romanus Damanik; Alex Rikki; Parasian D.P Silitonga
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Research is a process to solve problems. To solve existing problems, researchers must process data related to the problem to be solved. Data processing can be done using the SPSS application program, but the results obtained are still in the form of numerical values ​​that must be concluded with sentences. To speed up data processing and determine conclusions, it is necessary to build an application for evaluating the influence of research variables and their impacts to help researchers, especially in the social field, to speed up in determining conclusions on evaluating the influence of research variables and their effects using the Pearson product moment method and simple linear regression. With the application that was built, the correlation coefficient of monthly money on student GPA is 0.0603 and the regression equation Y= 3.1319 + 0.0084 X , where there is an effect of student monthly money on student GPA of one hundred thousand rupiah, then the student's IP will increase by 0.0084
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

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