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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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Money Replenishment Data Collection System at ATM Machine Managed by PT. Advantage Supply Chain Management in Medan City Fajar Chrisman Ziliwu; Sri Wahyuni; Akhyar Lubis
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Replenishment of money at the ATM machine always happens every day. PT. Advantage SCM is a company assigned to top up money at ATM machines. Replenishment schedules are carried out every day for ATM machines that do not have a balance anymore. ATM filling needs to be recorded every time the machine is refilled. The author builds an information system to record the activities of charging money at the ATM machine to assist the relevant teams in improving team performance. Every day there are approximately 30 ATM machines that will be filled with money because they are empty. This activity must be recorded properly so that the daily report does not become a problem in the future.
EXPERT SYSTEM TO DIAGNOSE ERYTHEMA MULTIFORME USING THE CERTAINTY METHOD WEB-BASED FACTOR Fahrizal Alwafi Chandra Susi Syafriana Barus; Heri Santoso; Ilka Zufria
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

In some cases, this disease can cause complications, such as blood poisoning, septic shock, skin infections (cellulite), permanent skin damage, permanenteye damage, and inflammation of body organs such as the liver and lungs. So that patients find it difficult to get information about Erythema Multiforme and how to handle it. The system that has been designed before has not implemented the client server feature so as to facilitate centralized database processing. Always back up data in order to avoid possible loss of important data caused by damage to the hardware. Then an expert system web will be designed to diagnose diseases in Erythema Multiforme using the Certainty Factor method. This expert web system reasoning uses a chain that is traversed from a chain that is traversed from a hypothesis back to the facts that support the hypothesis.Keywords: Expert System, Artificial Intelligence, Certainty Factor, Website
ANALYSIS OF CONTENT-BASED IMAGE RETRIEVAL (CBIR) AND DECISION TREE METHODS FOR IDENTIFICATION TYPES OF COFFEE SEEDS Rizki Saidah Srg Marahasian; Muhammad Ikhsan; Mhd Furqan
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

Identification of the type oficoffee by nakedleye is difficult to distinguish so that special skills are needed, one method that can be usedlto identifylthe typeiof coffee is to use digital image processing such as Content Based ImageiRetrieval (CBIR) which aims to identify the characteristics or features of the object. This method is usedito carry out the feature identification process, onelof which is the texture feature possessed byiseveral types oflcoffee. By using the Decision Tree classification method, it aims to break down the decision-making process from complicated or complex to simpler so that it can be easier to make decisions. The concept used by the decision tree is to convert the data into a decision treeiand decision rules (rules). The texture feature extraction used is by using first-order parameters, the total dataset used is 50 images in 6 types of Arabica coffee. With the CBIR and Decision Tree systems, it is ablelto identifyithe type of coffee beans. Keywords: Content Based Image Retrieval (CBIR), Decision Tree, first orders parameters, Coffee Beans.
APPLICATION OF CONTRAST LIMITED ADAPTIVE HISTOGRAM EQUALIZATION (CLAHE) AND GAUSSIAN FILTER METHODS FOR IMPROVEMENT OF IMAGE QUALITY ON CLOSED CIRCUIT TELEVISION (CCTV) Nurul Hadi Muliani Hariadi Saputra; Armansyah; Mhd Furqan
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

The results of video recordings from CCTV cameras depend on the quality of the CCTV facilities themselves, some can capture results from dark rooms or vice versa. If the room has a lot of light, then the CCTV footage looks good, if the room lacks light, the CCTV camera results only see objects that have light, so there are some sides of the object that look dark and the results of the objects recorded are not optimal. So to minimize dark CCTV catches, It is essential to have a system that can boost the performance of CCTV, especially on CCTV screenshots. Methods that can be used to improve the quality of CCTV images are CLAHE and Gaussian Filter methods. CCTV pictures captured in low light may have their contrast stabilized using the CLAHE technique, and noise can be removed using the Gaussian Filter method. Based on the CLAHE test, it was able to increase the contrast of CCTV with clip limit histogram, and the Gaussian Filter succeeded in eliminating CCTV image noise while maintaining the quality of CCTV images from CLAHE, this is based on the MSE value which is close to 0 (zero). Keywords: Enhancement, CCTV, Imagery, CLAHE, Gaussian Filter.
COMPARISON OF NAVE BAYES METHODS AND SUPPORT VECTOR MACHINE IN CLASSIFICATION OF TUBERCULOSIS DISEASE Doli Reza Apriansyah; Sriani; Mhd Furqon
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

A hospital is a medical center that offers extensive care for patients, including in-patient stays and outpatient procedures. The Rantauprapat Regional General Hospital has received and treated various types of diseases from the community in the Labuhan Batu area and its surroundings. These diseases include typhoid fever, diabetes mellitus, dengue hemorrhagic fever (DHF), malaria, liver, and tuberculosis (TB). In some of the diseases above, Tuberculosis (TBC) is increasing the most from year to year, which is 30%.Tuberculosis (TB) spreads very quickly through the air. Patients are expected to always carry out examinations and treatment to completion. TB is transmitted through the air. Splashing saliva or phlegm that comes out is a very fast transmission medium in this world. Therefore, people are expected to use masks in public places and always behave in a clean and healthy life. Therefore, technological advances that encourage every agency in the world of health, namely hospitals. Improve the quality of service to patients by involving technological advances in the world of health. The purpose of this study to determine the method that has the most accurate level of accuracy for the classification of Tuberculosis disease between the Naïve Bayes method and the Support Vectore Machine is the purpose of this study. And the benefit of this research is that researchers can understand the concept of data mining. Keywords: Data mining, Tbc, Support Vector Machine, Nave Bayes
KEEPING FILE AUTHENTICITY WITH DIGITAL SIGNATURE TECHNIQUE USING A COMBINATION OF MD5 AND ELGAMAL ALGORITHM Dandi Herman Dinata; Nova Mayasari; Rio Septian Hardinata
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

This study aims to maintain the authenticity of the file to provide assurance to the recipient that the data is free from modifications made by other parties. If there is a modification to the file, then the recipient will know that the file is no longer authenticated, so that the recipient of the file avoids using the wrong data. To maintain the authenticity of the data, a digital signature technique is used using the MD5 algorithm as a hash function algorithm to generate a message digest, and the Elgamal algorithm as a public key algorithm that forms the digital signature of the message digest. The combination of the two algorithms will produce a digital signature for each file that can ensure the authenticity of the file.
FORECASTING MATERIAL INVENTORY OF PT INALUM (PERSERO) CARBON DEPARTMENT USING SINGLE EXPONENTIAL SMOOTHING METHOD WEB-BASED Aldi Kesuma; Zulham Sitorus; Wirda Fitriani
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

An error occurred in recording material inventory, resulting in disruption of the aluminum production process at PT Inalum (Persero). In addition, orders that are not on time can also cause losses to PT Inalum (Persero), because the accumulation of too much material inventory will require a lot of working capital, this allows capital investment for other activities to be hampered, while the limited material inventory allows PT. Inalum (Persero) cannot meet the needs of its customers. The purpose of this study is to determine the amount of material inventory that must be provided by the Carbon Department of PT Inalum (Persero) in the next period. The method used in this study is Single Exponential Smoothing (SES) with the calculation of the error size, namely Mean Absolute Deviation (MAD), Mean Square Error (MSE), and Mean Absolute Perentage Error (MAPE. The results of this study indicate that the calculation of each material uses alpha 0.1 because the lowest percentage of MAPE values is at alpha 0.1 Material Petroleum Coke Low Sulfur has a MAPE percentage of 21.08%, Petroleum Coke High Sulfur has a MAPE percentage of 21.37%, and Diesel has a MAPE percentage namely 17.44%. s Department of Carbon (Persero) using the Single Exponential Smoothing method, it is known that the results of these calculations are the same
HAD HARGREAVES METHOD FOR EFFECTIVENESS POWER IN PHOTOVOLTAIC MODULE Roy Pranata Keliat; Solly Aryza; Siti Anisah
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Universitas Pembangunan Panca Budi is one of the best locations for solar radiation data collection and it is easy to conduct continuous research on solar cell power plants so that they can develop something in the photovoltaic module. This study discusses a photovoltaic analysis research using the Hargreaves model in terms of predicting the solar radiation that will be obtained and getting the value of effectiveness and efficiency. This study was conducted in a 2022 study in Medan, North Sumatra.
EARTHQUAKE LOCATION INFORMATION AND MAP APPLICATIONS BASED ON ANDROID (GEUMPA) Ilham Zulfikri; Akhyar Lubis; Eko Haryanto
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Indonesia as an archipelago that lies in meeting the world's three major plates of the Australian Plate, Eurasian, and Pacific lead this country susceptible to earthquakes. Therefore, the need for a reliable earthquake information is required. For portability problem, one way to get earthquake information is to use portable devices such as smartphone or the tablets. Android as an operating system that can be embedded in portable devices, can also be installed a variety of applications required by users. At the end of this project developed an application of information and maps of earthquake locations named “Geumpa”. This application is expected to be an alternative as an option for use applications on the Android – based devices, especially for users of Android in Indonesia, because Indonesia lies that include prone to earthquake.
AN APPLICATIONS IN DETERMINING THE BEST REFRIGERATOR BY USING THE TOPSIS METHOD Prayogo Selamat Sholihin; Arpan; Eko Haryanto
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Electronics is one of the household needs where these tools are very helpful in maintaining the freshness of food or drinks, namely the refrigerator or refrigerator. At this time, many other products have electronic product brands with all their advantages. The current research chooses the best quality used refrigerators because many refrigerators can still be used. To overcome this, a decision support system is needed in determining the best refrigerator using the Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method.Because this method uses the principle that the chosen alternative (used refrigerator) must have the closest distance from the positive ideal solution and the farthest from the negative ideal solution from a geometric point of view by using Euclidean distance to determine the relative proximity of an alternative (used refrigerator) to the optimal solution so that have good calculations and make good decisions. The criteria used in the assessment are the brand of the refrigerator, the engine, the body of the refrigerator, the freezer (coolant) space, the thermostat, and the refrigerator door.

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