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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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ENHANCE OF SOCIAL MEDIA VALUES OF NAQSYABANDIYAH TARGET PRACTICES IN MERANTI ASAHAN VILLAGE Sapta Yuni Achirani Purba; Syarifuddin; Fuji Rahmadi P
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 discuss the importance of instilling social values, especially for the practitioners of the Naqsyabandiyah Order in Meranti Village, Asahan Regency. These social values ​​become a measuring tool for a value to remain harmonious between citizens. This study uses a descriptive qualitative method approach, meaning that this research focuses on existing phenomena then understood and analyzed in depth, in data collection techniques the researchers used observation and interview techniques. The results of this study illustrate that the community, especially the practitioners of the Naqsyabandiyah Order in Meranti Village, upholds social values ​​in a social scope. family
COMPARISONAL ANALYSIS STUDY OF POWER LOSS AT THE CONNECTION POINT OF PIERCHING CONNECTOR WITH LINE TAP CONNECTOR ON 220 V LOW VOLTAGE NETWORK AT PT. PLN (PERSERO) ULP STABAT Pungkas Setia Wibawa; Adi Sastra P Tarigan; Solly Aryza
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The distribution system is divided into primary and secondary distribution networks. The primary distribution network is a network from substation transformers (GI) to distribution substations, while the secondary distribution network is a channel network from distribution substation transformers to consumers or loads. The primary distribution network is better known as the medium voltage network (JTM 20kV) while the secondary distribution network is the low voltage network (JTR 220/380V). The distribution network is the part of the electric power system that is closest to the customer or the load compared to the transmission network. At this time PT. PLN (Persero) experienced a power loss that occurred at the connection point of the low voltage network (JTR) on the use of a piercing connector. This study is to analyze the calculation of power loss on a low voltage network (JTR) by comparing the measurements between the input and output at the connecting point of the piercing connector with the line tap connector. With these conditions, it is necessary to evaluate and analyze for re-planning that takes into account planning criteria such as voltage drops and takes into account power losses for the sake of continuity of electricity services so that optimization appears on the network used.
AN IMPROVING FISHERMAN PRODUCT QUALITY AND FISHING PERFORMANCE BASED ON IOT Sandy Andhana Surbakti; Solly Aryza; Adi Sastra P Tarigan
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The function of technology in fisheries is a renewable innovation that is needed by fishermen. From fishing patterns that were previously only based on tides and the position of the moon, now using technology fishermen can find out which locations have a lot of fish so that they are more efficient and don't take a long time and luck. in catching fish in the sea. The design of a system that initializes fish objects using sonar by utilizing marine acoustics is expected to help increase fishermen's catches. The system is built by utilizing the Arduino UNO microcontroller and echosounder as well as an Android smartphone that will display readings from the echo sounder.
A CONFIGURATION OF NETWORK FIREWALL AND BANDWITDH MANAGEMENT FOR PRIORITY ZOOM APPLICATIONS USING A MICROTIC ROUTER Md. Arief Irawan; Rio Septian Hardinata; Nova Mayasari
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The problem of slow connection arises if many teachers and employees use it simultaneously so that the use of video conferencing falters due to inappropriate bandwidth usage, it is necessary to mark incoming data packets as internet browsing or as data packets for video conferencing. Therefore, the result of this research is to optimize the network by prioritizing the connection used by video conferencing so that it can be used properly without any disturbance when teachers and other employees use internet access.
APPLICATION OF ARTIFICIAL NEURAL NETWORKS ON USER AND PASSWORD AUTHENTICATION USING THE AUTOASSOCIATIVE MEMORY METHOD Syahputra, Guntur; Indrawati; Amri; Mahdi; Muhammad Riska
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

Autoassociative Memory (AM) is one of the artificial neural network methods and is a special of Heteroassociative Memory network. AM saving one or more vectors using matrics by the training process. Vectors that have been stored can be recognized by computing the weight matrix and in the activation process this method can be done very easily because it does not require calculation of the target value like other artificial neural network methods. The target is identical to the input so that if the input is identical to the output then the input is a pattern is a recognized object. AM ability to recognize patterns can be used for User and Password Authentication in an information system, so as to increase security in applications. The application of AM on a website-based application can reduce direct interaction between the database on the system and users who are not authorized, because the authentication process only involves a weight matrix. To apply the AM method, combine user and password then converted into binary to making a vector to using AM processed. In this research, AM ability to recognize user and password is 88% with a total of 100 data and is able to recognize users and passwords by 60% with an entropy value of 0.29, it can be concluded that the AM method can be used in the authentication process but has not optimal because it has not correct 100%.
RECOMMENDATIONS OF TEXT MINING-BASED THESIS SUPERVISORS WITH A COMBINATION OF TERM FREQUENCY INVERSE DOCUMENT FREQUENCY AND VECTOR SPACE MODEL Petti Indrayati Sijabat; Nuraisana Nuraisana
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

Thesis is a student's scientific paper as one of the requirements to graduate from college, to support the completion of the paper, it involves a supervisor with the main task of ensuring the suitability between the topic and the content outlined in the thesis. Problems in the preparation of the thesis with several phenomena that occur, namely 1) students cannot finish on time according to important dates that have been determined by the Study Program 2) Lecturers do not have sufficient competence on the topics raised by students 3) Determination of Advisory Lecturers is still focuses on the quota that has been provided without ascertaining whether the lecturer in question is able to provide guidance on the topics provided. DestinationThe purpose of this research is to provide recommendations for study programs in determining text mining-based supervisors with a combination of the Tf-Idf algorithm and the Vector Space Model.The urgency of the research is to make it easier for the study program to determine the thesis supervisor so that students can complete the thesis on time because it involves a supervisor who has competence in their field. Astuti, “due to the legal termination of motor vehicle insurance against the insuranced himalaya insurance company in bengkulu city”, jms, vol. 1, no. 01, pp. 1–9, jul. 2021. rendi, “determining factors of mediator’s success in metro religious courts”, jms, vol. 1, no. 02, pp. 47–51, jan. 2022. nurwulandari, “analysis of the influence of roa, der, per, composite stock price index and company size against initial return ”, jms, vol. 1, no. 02, pp. 101–115, jan. 2022.
PURITY & PROFILE MATCHING APPROACH TO DETERMINE THE GOVERNMENT AID RECIPIENT IN ACEH UTARA, INDONESIA Sujacka Retno; Novia Hasdyna
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

Purity algorithm is a new algorithm in the field of informatics that used to measure the pure value of a number of data. Profile Matching algorithm is an algorithm that used in making a decision, such as determining the criteria for receiving aid from the government. This research aims to apply the two algorithms, Purity & Profile Matching in determining the criteria of recipients for government aid funds for citizens in Aceh Utara in 2022, where it is hoped that the funds will be accurately given to people in need. The criterias used in this research include name, occupation, income, assets, and number of dependents. The data that has been collected then analyzed by applying the Purity & Profile Matching algorithm. As for this research, two methods will be applied namely Purity & Profile Matching. It used as a comparison in determining the criteria needed in determining the acceptance of the aid funds. This research applied to a Web-based system using the PHP programming language and MySQL database.
Determination Of The Planting Season Based On Wariga Local Wisdom And The Influence Of Weather Using The Simple Additive Weighting Method I Made Pradipta; I Gede Aris Gunadi; I Nyoman Sukajaya
INFOKUM Vol. 10 No. 4 (2022): October, computer, information and engineering
Publisher : Sean Institute

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Abstract

This study aims to implement a decision support system method in determining the planting season based on the calculation of padewasan wariga based on weather conditions. Determining the right planting season is one of the keys to the success and production of food crops. The SAW method is used in the process of calculating and determining the weights for each criterion for wariga planting and forecasting weather conditions to produce the best padewasan ranking for the next year as a reference for determining the planting season. The data collection was obtained through several stages, namely: (1) the acquisition of resident data was obtained using the interview method with an expert or wariga expert, (2) the acquisition of weather data was obtained using the observation method at the Meteorology, Climatology and Geophysics Agency of Denpasar Region III. The data obtained from the weather data acquisition stage is calculated using the moving average method to determine the weather conditions that will occur. The results showed that the implementation of a decision support system using SAW resulted in a padewasan ranking in determining the planting season in 2021. The level of accuracy of the validation effectiveness of the ranking results was measured using the Mean Avarage Precision (MAP) method. Based on the results of the calculation of the accuracy level of effectiveness using the MAP method, it can be concluded that the application of a decision support system for determining the planting season of local wisdom in Padewasan Wariga based on the current weather using the SAW method produces an accuracy percentage of 60%, so it can be categorized as feasible to be applied as a reference for determining the planting season.
ENHANCES CONTROL OF ENVIRONMENTAL FEASIBILITY SECURITY IN MEDAN CITY DEVELOPMENT IN LIQUID WASTE BIODIGESTER TOFU FACTORY Asmara Sari Nasution; Efi Said Ali
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The impact of processing the tofu industry is liquid waste which mainly causes problems. Tofu liquid waste can be used as biogas. For this reason, it is necessary to study a feasibility analysis for constructing a biodigester from a technical, economic, and environmental perspective. The engineering work process in technical analysis determines the type of digester and the appropriate and efficient placement obtained from operational costs, land area, and production capacity. The technical analysis survey found that the type of reactor installation was chosen was the modified Cover Lagoon Anaerobic Reactor (Colar) with a portable model with a capacity of 200 liters. The economic analysis study is used to determine the feasibility of developing a Biodigester in determining the budget details and obtaining the estimated cost of Rp. 2,301,000, - and investment in the next five years with parameters Net Present Value (NPV) = Rp. 7.512.000,- (positive value), Probability Index (PI) = 3.2 1 in the investment period, Internal Rate Of Return (IRR) at the generally accepted interest rate, the NPV is positive, and there is no IRR and Payback Period (PP) = 1.3 Years (≤ investment period of 5 years). Environmental feasibility analysis shows that the outer biodigester is safe and has a slightly pungent odor and reduced tofu factory liquid waste. Handling from the exterior involves a particular route to closed drainage or pipe to a final disposal site or a closed septic tank.
ENHANCE OF RELIABILITY OF LAND SAFETY FROM FIRE BASED ON COMPUTER VISION IN IMAGE PROCESSING Khoirunsyah Dalimunthe; Muhammad Sayid Amir Ali Lubis; Rika Rosnelly; Wanayumini
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Monitoring inland fires can help Human vision do amazing things, such as recognizing people or objects and navigating through obstacles, which can also be done using satellite imagery or cameras with image processing methods using uncrewed aircraft (UAV). Image processing is an activity where computers require a sensor that functions like the human eye and a computer program that acts as a data processor from the sensor. This research will focus on designing and implementing the computer vision metro de thresholding method, which is used for camera image data processing to detect fire inland fires. This value will be used as color filtering for parameters to detect fire objects and also as a threshold value for segmentation image.

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