cover
Contact Name
Paska Hasugian
Contact Email
infokum@seaninstitute.org
Phone
+6281264451404
Journal Mail Official
infokum@seaninstitute.org
Editorial Address
Komplek New Pratama ASri Blok C, No.2, Deliserdang, Sumatera Utara, Indonesia
Location
Unknown,
Unknown
INDONESIA
INFOKUM
Published by SEAN INSTITUTE
ISSN : 23029706     EISSN : 27224635     DOI : -
Core Subject : Science,
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
Articles 842 Documents
IMPROVED DISTRIBUTION TRANSFORMER SECURITY WITH HYBRID FUSE CUT OUT SYSTEM Yogi Prayoga; Solly Aryza; Adi Sastra P Tarigan
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (665.736 KB)

Abstract

This study aims to study the performance of the safety system used in distribution transformers that reduce the voltage from 20 kV to 230/400 V with a fuse cout out safety device. Where the problem that often arises in the field is a disturbance in the electrical energy distribution system which results in blackouts. The methods used in this research are field surveys which are compared with simulations in the laboratory of the electric power protection system, which aims to determine the performance of theaelectricapoweraprotectionisystem of fuse cut out in network security. Data is taken from cases that occurred at the ST 87 substation TP.02 ULP Stabat. Where the research results obtained are the magnitude of the fault current which is equal to the current rating of the installed fuse link. So that at the end of the study, several results were found where the amount of fault current had exceeded the existing transformer resistance limit, so that the transformer was damaged and disrupted the 20 kv network system.
SMARTPHONE SALES INFORMATION SYSTEM DEVELOPMENT USING THE WATERFALL METHOD Arief Fadillah; Arpan Arpan; Rahmad Budi Utomo
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (318.973 KB)

Abstract

Mobile Sales Information System Development is a sales application for recording sales transaction processes, accessed offline using online, local networks, or computing devices such as PC (personal computer) desktops, laptops, and notebooks. I can do it. smartphone. Previously, the sales process was done manually, so the sales transaction recording process was not well documented and it was difficult to create a report, but by doing this, it is necessary to create an information system. May be resolved. The method applied to the development of mobile sales information system applications is the application of the Waterfall method. A system that analyzes functional and non-functional system requirements, database design, and table requirements in the form of entity relationship diagrams (ERD), logical record structures (LRS), and uses Unified Modeling Language (UML) diagrams. Design coding Process Framework Codeigniter 3, from black box test testing, maintenance to application development. The results of this study are applications for sales applications that support sales transaction processing, data manipulation, and rapid printing or generation of reports for the required time period based on the required month or date.
NEW PRODUCT LAUCH CONSIGNMENT PROGRAM INFORMATION SYSTEM AT PT. INDOMARCO ADI PRIMA Khairul Syahputra; Zulfahmi Syahputra; Sri Wahyuni
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (840.669 KB)

Abstract

Consignment is a program where producers or product producers carry out goods storage to retail stores for resale. PT. Indomarco Adi Prima is a company that has a consignment program for its products. This study builds an information system for recording consignment data in the form of snack food products that are deposited in stores. This system records the order and the number of items deposited along with the expiration date. This information system facilitates the marketing of PT. Indomarco Adi Prima is monitoring the goods for further checking. By using this system, the recording of the consignment program will run accordingly
BUS TICKET PREDICTION DURING THE COVID PANDEMIC USING BACKPROPOGATION Mhd Arie Akbar; Zulham Sitorus; Zulfahmi Syahputera
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (391.953 KB)

Abstract

Buses are the most popular land transportation during the pandemic by the community, because using buses can save time compared to using sea transportation. Transportation using land routes in modern times is considered to be the most effective means. The bus ticket price itself is quite volatile, sometimes very expensive and sometimes very cheap because it depends on the price indicators that go up and down. The purpose of this research is to design a system that can predict the price of airline tickets early by using pattern recognition technology with Backpropagation by utilizing matlab software. In the prediction system there are only six input variables, so the researcher suggests that further research is expected to have more detailed input variables to be used as test data and target data because there may still be many indicators that cause bus prices to fluctuate. After knowing the indicators of rising and falling ticket prices, the next ticket must be done first. Initially, the indicators will be tested and tested to find out using the backropogation method. The results of flight ticket price predictions using an architectural network show that the proportion of similarity of each difference is able to improve the weighting of the hidden layer with the output of UP ticket prices. the indicators will be tested and tested to find out using the backropogation method. The results of flight ticket price predictions using an architectural network show that the proportion of similarity of each difference is able to improve the weighting of the hidden layer with the output of UP ticket prices. the indicators will be tested and tested to find out using the backropogation method. The results of flight ticket price predictions using an architectural network show that the proportion of similarity of each difference is able to improve the weighting of the hidden layer with the output of UP ticket price
COMPARATIVE ANALYSIS OF DATA RECOVERY USING EASEUS DATA RECOVERY WIZARD AND RECUVA APPLICATIONS Ade Putra; Muhammad Donni Lesmana Siahaan; Arpan Arpan
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (249.487 KB)

Abstract

At the end of the day, the use of computers is intended for data processing in the form of text, images, videos, and data processing that can be carried out easily and quickly. Individual computer users and organizations in everyday life often work and store data on computers, but in reality, there are certain events where the results of work, in the form of document files on the computer, can be lost so that very important and much needed files are lost from the storage media in the computer. computer or laptop. In recovering lost files or documents, various software can be used, including Pandora Recovery, Recuva and EaseUS Data Recovery Wizard. In this study, what will be discussed is the recovery of lost data by comparing the use of the EaseUS Data Recovery Wizard and Recuva application
AN APPLICATION OF COOLING SYSTEM TEMPERATURE AS PERFORMANCE IMPROVEMENT SOLAR PANEL Nur Aisyah Siregar; Siti Anisah; Solly Aryza
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (300.072 KB)

Abstract

Solar panels or solar cells are one of the renewable energy sources. Solar cells can convert sunlight into dc electrical energy. However, the main problem with solar cells is that the energy produced is not stable. The surface of the Solar cell board has a maximum temperature which affects the output of the solar cell. From this research, the writer will make the surface cooling of the solar cell board using a heatsink fan. The maximum surface temperature of the solar cell board reaches an average of 45 oC. If the temperature exceeds 45 oC it will reduce the output of the solar cell. In this study, the average temperature on the surface of the solar cell board, from 9 am to 3 pm was around 50.14oC and the average output of the solar cell reached 18.80 Volts. Meanwhile, the average temperature of the solar cell with the use of heatsink cooling is 36oC. The average output of the panel is 19.11 volts. Thus, by using a solar cell surface board cooling system using a heatsink, it has an average temperature decrease of 28.20% and an increase in output (Output) can be increased by 1.64% from the efficiency of the Solar cell which is only 12.1%.
ELECTRICAL CURRENT LIMITING TOOL USING ARDUINO MICROCONTROLLER Meiman Belala Zendrato; Siti Anisah; Adi Sastra P. Tarigan
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (335.967 KB)

Abstract

THe electric current limiter serves to limit the use of electricity in each room so that it does not affect electricity usage activities that occur outside the room. Restrictions can be done using an Arduino microcontroller by utilizing the ACS712 sensor in reading the use of current passing through the cable. This prototype is made with the ability to withstand a 200-watt electrical load so that in the event of excessive use, the Arduino will signal to the relay to take the action of disconnecting the electric current. The relay will disconnect the electric current within a few seconds to give the user the opportunity to reduce the load used through the cable. The relay will then turn on again and Arduino will check the electric current again and if there is no decrease in the use of electric current, then Arduino will again give a breaker signal to the relay.
UFR ( UNDER FREQUENCY RELAY ) RELAY ANALYSIS IN OVERCOMING BLACK OUT NIAS ISLAND Andi Hernawan; Siti Anisah; Hamdani
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (188.33 KB)

Abstract

The power system disturbance that occurred at the Nias power plant due to overcurrent caused a trip to the Nias Gas Engine Power Plant (PLTMG) generator. This causes a decrease in frequency due to the system losing power supply. Frequency interference can be detected automatically with UFR (Under Frequency Relay). The working principle of UFR is to compare the value of the frequency system and the value of the frequency setting which determines the amount of load removed. This study analyzes the performance of UFR on the Nias island power system by simulating a decrease in UFR resulting in a decreased frequency system state.
AN ANALYSIS RELIABILITY OF GENERATOR SET AS EMERGENCY POWER SUPPLY SUDDENLY OFFS AT PLN ULP BELAWAN Yahya Koto; Siti Anisah; Solly Aryza
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The Generator Set consists of the Engine (Motor Propulsion) and also the Generator / Alternator, as previously explained. This engine uses fuel in the form of Diesel (Diesel Engine) or can also use Gasoline, while the Generator itself is a coil of wire made of copper consisting of a static coil or stator and is also equipped with a rotating coil or rotor. In the process of working, according to physics, the engine rotates the rotor in a generator which then causes a magnetic field in the coil section of the generator. Furthermore, this magnetic field will then interact with the rotor which will then rotate and will produce an electric current which is in accordance with Lorentz's law.
AN INCREASING VALUE OF HYBRID CAPACITORS (GRAPHENE) BASED ON COLLECTOR CROSS-CROSS-CROSS-SIDE Regen situmorang; Solly Aryza2; Adi Sastra P Tarigan
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (262.978 KB)

Abstract

This study describes the effect of the collector cross-sectional area on the capacitance value of the four graphene super capacitors using a digital multimeter. In the first experiment, the graphene square super capacitor with a cross-sectional area of 25 cm2 resulted in a capacitance of 0.842 F. Especially the super capacitor, which is called a double layer electric capacitor (EDLC) or ultra capacitors, meet the standards for high power applications. The use of supercapacitors is very rare because of the high cost of manufacture. The graphene super capacitor that has the best capacitance is Square. The graphene super capacitor in this study was designed in several stages. Synthesis of graphene as electrode was obtained by mixing H2SO4, H3PO4, KMnO4, Graphite Powder, dried for 12 hours at 110ÂșC

Filter by Year

2018 2026


Filter By Issues
All Issue Vol. 14 No. 02 (2026): Infokum, March-April 2026 Vol. 14 No. 01 (2026): Infokum, January - February 2026 Vol. 13 No. 06 (2025): Infokum Vol. 13 No. 05 (2025): Infokum Vol. 13 No. 04 (2025): Infokum Vol. 13 No. 03 (2025): Infokum Vol. 13 No. 02 (2025): Infokum Vol. 13 No. 01 (2025): Infokum Vol. 12 No. 04 (2024): Engineering, Computer and Communication, November 2024 Vol. 12 No. 01 (2024): Engineering, Computer and Communication, Edition January 2024 Vol. 11 No. 05 (2023): Engineering, Computer and Communication Vol. 11 No. 04 (2023): Agustus : Engineering, Computer and Communication Vol. 11 No. 03 (2023): Juni : Engineering, Computer and Communication Vol. 11 No. 02 (2023): April, Engineering, Computer and Communication Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence Vol. 10 No. 02 (2022): Juni, Data Mining, Image Processing, and artificial intelligence Vol. 10 No. 5 (2022): December, Computer and Communication Vol. 10 No. 4 (2022): October, computer, information and engineering Vol. 10 No. 1 (2021): Desember, Data Mining, Image Processing, and artificial intelligence Vol. 9 No. 2, June (2021): Data Mining, Image Processing and artificial intelligence Vol. 9 No. 1,Desember (2020): Data Mining, Image Processing,artificial intelligence, networking Vol. 8 No. 2, Juni (2020): Data Mining, Image Processing and artificial intelligence Vol. 8 No. 1, Desembe (2019): Data Mining,Image Processing and artificial intelligence Vol. 7 No. 2, Juni (2019): Data Mining And Image Processing Vol. 7 No. 1, Desembe (2018): Data Mining And Image Processing More Issue