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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 842 Documents
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DESIGN AND CONSTRUCTION OF CAR RENTAL MONITORING SYSTEM BASED ON MICROCONTROLLER INTEGRATED THROUGH SMARTPHONE USING FUZZY MAMDANI METHOD Rakhmat Kurniawan R; Abdul Halim Hasugian; Alwy Azyari Harahap
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The increasing human needs to follow human needs as well as the lack of employment opportunities make some people do the theft mode. Some of them are by borrowing a car rental, but in certain cases the borrower does not return the car or it can be called as running away or stealing with borrowed mode. Therefore, the author wants to make a tool that can monitor the car remotely using a microcontroller, where the MPU-6050 sensor will be used to determine the status of the car when it is on, off, and running. The Ublox Neo6M GPS module will also be used to track the car's location. The output to be received will be sent through the intermediary of the 800L SIM module. In this study using the Mamdani fuzzy method because this method is suitable for use in most real-time problems such as making decisions to look for engine vibrations in cars that change and are less certain. In this study, the average percentage difference between the MPU-6050 sensors is 6.722%. With this fuzzy logic method, a mathematical framework is obtained that is used to represent uncertainty, ambiguity, imprecision, lack of information and partial truth. Keywords: Monitoring System, Car Rental, Microcontroller, Fuzzy Mamdani.
ANALISIS KEBUTUHAN PENGGUNA APLIKASI RUANGGURU DAN ZENIUS SEBAGAI MEDIA PEMBELAJARAN DALAM MENGATASI KESULITAN BELAJAR SISWA PADA PEMBELAJARAN DARING DI MASA COVID -19 MENGGUNAKAN METODE FUZZY KANO Palma Juanta; Dimas Prayoga
INFOKUM Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Ruangguru dan zenius merupakan aplikasi bimbingan belajar online yang sangat banyak digunakan selain itu ruang guru dan zenius menawarkan produk dengan solusi terlengkap kepada Siswa/i, Dampak COVID -19 terhadap dunia pendidikan di Indonesia sangat dirasalkan oleh semua siswa terutama pada kegiatan belajar –mengajar dengan hadirnya ruang guru dan zenius dapat membantu siswa kesulitan belajar. Berdasarkan hasil wawancara dan observasi, penggunaan Ruangguru dan zenius memiliki pengaruh positif dalam proses pembelajaran. Tetapi ada permasalahan yang dirasakan oleh pengguna Ruangguru dan zenius. Tujuan pmenelitian ini adalah menganalisis Aplikasi dengan cara mengidentifikasi, mengategorikan, dan memprioritaskan kebutuhan berdasarkan kepuasan pengguna Aplikasi Ruanggurudan zenius sehingga dapat mengurangi permasalahan pengguna sehingga kualitasnya dapat meningkat. Metode yang digunakan Fuzzy Kano, merupakan teknik pengembangan produk secara kuantitatif dan obyektif berdasarkan penilaian dari kepuasan pelanggan untuk meningkatkan kualitas produk. Dalam penelitian ini menggunakan purposive sampling sehingga target minimal respoden sebesar 77 responden. Hasil dari penelitian ini, terdapat 20 requirement yang didefinisikan sebagai fitur aplikasi, yang dikagorikan kedalam 3 katagori yang terdiri dari 7 fitur termasuk ke dalam kategori one-dimensional quality attribute, 4 fitur termasuk kategori attractive quality attribute, dan 9 fitur termasuk ke kategori indifferent quality attribute. Prioritas paling tinggi yaitu, fitur “Mendapatkan penjelasan jawaban” pada kategori one- dimensional quality attribute, “melanjutkan vidio ” pada kategori attractive quality attribute, “mengganti kurikulum” pada kategori indifferent quality attribute.
IMPLEMENTATION OF THE C.50 ALGORITHM IN ASSESSING EMPLOYEE PERFORMANCE ON PT SMARTFREN TELECOM TBK Purba, Windania; Caprio, Calvin Di; Sabrian, Muhammad Ryan
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 create a model in measuring the performance of PT Smartfren Telecom employees which is measured based on several attributes such as performance targets, service orientation, integrity, discipline, cooperation and leadership. By using data mining data analysis methods, decision trees and the C.50 Algorithm, so that it can make a pattern of decisions that can be proposed as a basis for giving rewards and punishments for the performance of PT Smartfren employees. The population of the data is 30 respondents with 7 categories of leaders and 23 as employees. The results of this study are the C5.0 algorithm can process employee performance data into a decision tree and useful rules as input. The results obtained can be developed into a decision-making system so that it can be used to assist in determining employee performance decisions. In general, based on the evaluation results for staff data with training data as much as 23 data obtained an accuracy rate of 97%, where one of the factors that affect accuracy is that performance data does not meet the requirements which are still small, this can be increased by increasing the amount of training data related to the data
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.

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