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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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ENHANCE A POWER TRANSFORMER INTERFERENCE PROTECTION AT SUBSTATIONS Suranta Putra Tarigan; 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 problem that is often caused by the palm oil industry is the disposal of liquid waste which causes air pollution due to the pungent smell from the waste pool. If it is thrown into the river it will pollute the river and if it is thrown into the ground then the soil will be contaminated. Then an analytical study was conducted so that the liquid waste can be processed by analyzing methane gas whose raw material is liquid waste that is processed anaerobically to fuel the Biogas Power Plant. One of the large plantation potentials obtained from Palm Oil Mills (PKS), which processes Palm Oil Fresh Fruit Bunches (FFB) into Crude Palm Oil (CPO), is biomass waste with a fairly large amount in the form of organic waste in the form of empty coconut bunches. palm oil (Tankos), shells and coir, and liquid waste (Palm Oil Mill Effluent/POME). POME has high energy potential, but in general it has not been used optimally. POME is decomposed in sewage ponds left to decompose naturally. Converting POME into biogas to be burned can produce energy while reducing the impact of climate change. This gas appears as a result of the anaerobic breakdown of organic compounds. Organic liquid waste generated during palm oil production is a major energy source that has not been widely utilized in Indonesia. Converting POME into biogas to be burned can produce energy while reducing the impact of climate change.
PREDICTIVE MAINTENANCE ON FEED WATER PUMP AT PANGKALAN SUSU ELECTRIC STEAM POWER PLANT (PLTU) Govin Hasiando Marpaung; Siti Anisa; Solly Aryza
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Maintenance is an activity to keep the machine/production equipment, and make repairs or replacements to increase production in the industrial world. There are several types of maintenance developed, namely Preventive maintenance, corrective maintenance, and predictive maintenance. Maintenance techniques on direct object measurement monitoring are more applied to the industrial world because it is done without stopping operation on a machine, this treatment technique is also called predictive treatment, and requires analysis to monitor engine conditions, such as the measurement of vibration signals. Each vibration signal generated has different damage. Misalignment is one type of damage caused by the frequent vibration of the shaft and clutch. The vibration signal generated by misalignment has its own characteristic seen in the vibration spectrum. In this undergraduate task will be analyzed angular misalignment vibration signal at feed water pump by taking data at horizontal drive point. The vibration signal at the feed water pump generates angular misalignment through the 3X rpm spectrum where the first rpm is larger than the next two rpm. From the measurement of vibration, it can be seen through the comparison of vibration value to trending with the prevailing standard showing high amplitudes on the horizontal motor drive of 2.65 mm/s based on ISO 10816- 3 standard.
APPLICATIONAL OF THE C4.5 ALGORITHM INDETERMINING AIR QUALIT Fandi Rahmadsyah Panggabean; Eko Hariyanto; Sri Wahyuni
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The C4.5 algorithm produces an accuracy rate of 63.37% with the resulting attributes with a total of 13 attributes and 9357 data in classifying. The results of the model carried out are quite good by looking at the accuracy value generated because the data can be recognized by data that has no class, even though it is not 100% perfect. The author hopes that further research will apply the same parameters to avoid missing values in pre-processing data. It is hoped that further research will be developed by applying this classification model with other and larger data.
AN PERFORMANCE EFFECT OF VARIATION VOLTAGE ON POSTPAID AND PREPAID KWH ON THE NUMBER OF TURN OF KWH METER Heru Puja Rivanda; 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

Postpaid and Prepaid kWh meters are measuring tools for consumer power consumption, there is a thought that Prepaid kWh meters are more expensive than Postpaid kWh meters. This research is to compare Postpaid kWh meters and Prepaid kWh meters by using varying loads with voltage drop treatments with voltages of 230 volts, 220 volts, 198 volts, and 165 volts. So on the load of the induction motor, LHE, and the load of LHE variations and incandescent lamps with source voltages of 230 volts, 220 volts, 198 volts, and 165 volts, it can be said that the Prepaid KWH-meter has a better KWH rotation than the Postpaid KWH-meter. At various loadings on the kWh meter rotation test, the prepaid rotation speed is longer than the postpaid rotation speed with a difference of 0.53 hours or 32 minutes.
IMPLEMENTATION OF THE SAW METHOD ON EMPLOYEE ACHIEVEMENT DETERMINATION Ikhlas Septi Ramadan; Eko Haryanto; Melva Sari Panjaitan
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

This company doesn’t influence identifying the best employees so they are not excited about having the highest employee ratings. The delay in the process of finding the best people can affect employee motivation. This results in the company taking a long time in overcoming the decisions made in identifying the best employees. Fraud occurs in identifying the best employees based on specified criteria. This is because companies that do not implement a decision support system properly and efficiently identify the best people in the company. A set of methods that perform evaluation modeling in each process to help managers make decisions is the definition of a decision support system. According to Turban, the data that will be processed in decision making has provided an interface to the user to make it easier to combine the results of thinking in making final decisions (Sari, 2018). In this study, by searching for the best employees to get a conclusion from the results of the calculation of the maximum value. The maximum value is V2, so alternative A2 are the alternative chosen as the alternative best. In other words, Sammy are the best employee.
ANALYSIS OF PROTECTION SYSTEM ON MOTOR 6 KV CIRCULATING WATER PUMP PLTU PANGKALAN SUSU OMU Oktarino Simbolon; Hamdani; Siti Anisah
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

PLTU Pangkalan Susu uses seawater as the main coolant to condense the turbine output steam into water in the condenser. This seawater is pumped into the condenser by using a Circulating Water Pump (CWP) which is located at the CWP house. CWP is an equipment to supply water to the power plant system, either as cooling water or as water is processed into demin water in a water treatment plant. In operation, this CWP motor is equipped with safety equipment that functions to protect the motor from any disturbances that will occur while the disturbance can occur in any time and it is destructive so that the motor can be secured as early as possible
COMPARISONAL ANALYSIS OF EUCLIDEAN, CANBERRA, AND CHEBECHEV DISTANCE MODELS ON KNN METHOD ON STUDENTS' VALUE Ragil Satya Adi W; Eko Hariyanto; Zulham Sitorus
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

KNN has a significant influence on nonparametric methods in the form of classification, but the level of performance generally depends on the equilibrium point of the variable that is correlated with the far point. The distance between readings from the specified limit of the standard deviation value. KNN method. One of the instance-based learning groups is the K-Nearest Neighbor (KNN) method. Group search performed by KNN on new data objects or k objects in the test that is closest to the test data. KNN helps classify objects based on training data that is close to the object being tested. This study concluded that the Canberra Distance model produced the highest accuracy of 87.50% with an error value of 12.50% on the K-Nearest Neighbor algorithm.
IDENTIFICATION OF WATER QUALITY AT THE REFILL DRINKING WATER DEPOT BUSINESS IN MEDAN HELVETIA AREA USING SIMPLE ADDITIVE WEIGHTING METHOD Aria Dhanu Tirta; Muhammad Syahputra Novelan; Arpan
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The proliferation of refill drinking water businesses among the community has raised doubts about the quality of drinking water from each refilling of drinking water. Especially in the Medan Helvetia area, starting from Pasar 1 to Pasar 7, there are about 23 refill drinking water businesses. This makes the author want to do research on the refill drinking water. Which refill water business has drinking water quality that is good for body health. The author uses the Simple Additive Weighting (SAW) method in calculating research data because this method has been widely used in various studies. The results of the research show that business B in Pasar 2 has good water quality with the highest value from other businesses around Pasar 1 to Pasar 7 Medan Helvetia. it is important to know the quality of drinking water in refilling drinking water so that the health of the community's body
OPTIMIZATION OF WAREHOUSE BALANCE MONITORING WITH GOLEK (GUDANG ONLINE LEK) Ibnu Gunawan; Zulfahmi Syahputra; Muhammad Syahputra Novelan
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

The warehouse is a place for receiving, temporarily storing and stocking parts, materials, and goods to be used for production needs or production support. To control the material stock balance, it is necessary to monitor the material balance data in accordance with the actual material balance, so that there is no discrepancy between data deviation and actual balance, which can lead to interruption of the production process due to unavailability of material or errors in material stock planning. Material procurement in Pangkalan Susu steam power plant is usually divided into 2 areas, namely material inventory, which is usually recorded in the application maximo. The operating budget or code GL is normally used for this material. Meanwhile, the material expense is the material that is procured to anticipate the overhaul needs, which is used at the same time and cannot be stored in the warehouse. The capital budget is usually used for these materials. Until now, stock monitoring can only monitor the material stock through TUKG7, while the material cost cannot be monitored, so there is a deviation between the actual stock and the TUKG7 stock, resulting in an interruption of the production process due to unavailable materials and errors in material procurement. For this reason, a stock monitoring application (GOLEK) has been developed that allows real-time monitoring whenever and wherever it is.
Planning Of A Public Library In Medan City With The Application Of A Natural Ventilation System Desy Lukita Silky; Bhakti Alamsyah; Ramadani Fitri
INFOKUM Vol. 10 No. 03 (2022): August, Data Mining, Image Processing, and artificial intelligence
Publisher : Sean Institute

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Abstract

Some construction projects, if they are not managed properly, can produce large amounts of waste and energy, so construction project management is needed with the application of an environment-based natural ventilation system. Construction of a public library building in the city of Medan in this problem there is a need for research to identify green mode in building construction planning. The method used in this study. From the results of this study, it was found that the Appropriate Aspects of Land Use reached 86.3%. Aspects of Health and Comfort in the project environment reached 69.4%, Aspects of building environmental management reached 33.3%, Aspects of Source and Material Cycle reached 73.3%, Aspects of conservation and energy efficiency reached 25% and Aspects of water conservation reached 30%. Judging from the indicators fulfilled, namely reaching more than 50%, the aspects that meet the green construction criteria in the central library building are the Appropriate Land Use Aspects, Health and Comfort Aspects in the Project Environment and Sources, and Material Cycle Aspects. Therefore, from the identification, the total achievement of green construction indicators in the construction of the Tanjungpura University Library Building is 53.52%.

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