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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
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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 202 Documents
Search results for , issue "Vol. 10 No. 5 (2022): December, Computer and Communication" : 202 Documents clear
CLASSIFICATION OF STUDENT SCHOLARSHIP ACCURATE CLASSIFICATION USING THE K NEAREST NEIGHBOR ALGORITHM Sinaga, Bosker; Marpaung, Meman; Br Barus, Maya Theresia; Laia, Erlina
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v10i5.1217

Abstract

Providing the right student scholarships will produce graduates who are permanent and reliable. Scholarships are usually given in the form of financial assistance, both education money and even pocket money (living expenses). This research classifies the accuracy of awarding student scholarships, where in the research conducted the number of scholarship recipients was not on target, resulting in the scholarship recipients not being serious about attending lectures and even dropping out of studies. The research method, namely the survey research method, is a research method that is carried out using surveys or data collection through research respondents. The algorithm used in analyzing the data is the KNN algorithm. The purpose of this study was to apply data mining using the KNN algorithm to find out the classification results of the accuracy of awarding student scholarships. The results of this study make a classification of scholarships, namely 19 students are eligible to receive scholarships and 49 students are not eligible to receive scholarships.
AN INVENTORY PLANNING AND CONTROL ANALYSED USING ECONOMIC ORDER QUANTITY (EOQ) AND PERIOD ORDER QUANTITY (POQ) METHODS AT UD. MARIADI RANGKA Abdul Aziz Syarif; Yetti Meuthia Hasibuan; Budhi Santri Kusuma
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

Supplies are always needed by every company, both small companies and large inventories. With the inventory procurement policy, it is expected that the production process can run smoothly. Without an inventory of raw materials, companies are faced with the risk that one day the company will not be able to meet consumer needs. The purpose of this research isdeterminethe number of purchases of raw materials at each order with the lowest costAndknow the right time period to place an order for raw materials by forecasting the need for raw materials in the coming year, with the aim of knowing an overview of needs in the next year. The data studied is in the form of data on raw material needs, data on ordering costs, storage costs, frequency of purchasing raw materials and the number of purchases of raw materials during 2021. Data collection techniques are by way of interviews, observations.This research includes descriptive research (descriptive research). To anticipate undesirable things related to the supply of raw materials, the researcher advises the company to provide a safety stock of 20 pallets and 1 sheet of plywood and place an order again when the raw materials are1,114pallets and 27 sheets of plywood. Based on the conclusions above, the authors provide advice to companies to consider using the POQ method and determine the required raw material requirements, the amount of safety stock and when the company must place an order again so that efficient and effective inventory control can be achieved.
AN EVALUATION OF TURBINE AND GENERATOR PERFORMANCE AT PT INALUM POWER PLANT USING GADS, EXPONENTIAL DISTRIBUTION FMEA ANALYSIS Uun Novalia Harahap; Nurul Atikah
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

PT INALUM Power Plant is a company that operates a hydropower plant consisting of the Siguragura (SGP) and Tangga (TNP) power stations. So that requires it to continue to optimize its maintenance policy. Even though maintenance activities have been carried out, the frequency of damage to each unit still occurs frequently. As a result, the unit trips (experiencing termination), namely forced outage, which affects the amount of downtime. To overcome this problem, in this study the method used to determine the performance of the power plant is the Generating Availability Data System (GADS), then to determine the reliability and rate of failure using an exponential distribution. Meanwhile, to repair damage to turbines & generators using FMEA analysis. MTR bushings were repaired routinely for 51.306 hours (±2 days) or 102.612 hours (±4 days). 46% and in the Ladder Hydroelectric Power Plant it occurred in the T/Ge3 unit of 2.80%. The appropriate evaluation action is to carry out maintenance with the type of periodic maintenance and preventive maintenance. Particularly T/Ge1 PLTA Siguragura on the air cooler & metal cooling tube component and T/Ge3 PLTA Tangga on the MTR Bushing component. The right maintenance strategy to minimize forced outage is to review planned maintenance on the air cooler & metal cooling tube for routine flushing for 35,287 hours (±1 day) or 70,574 hours (±3 days).
ANALYSIS OF AN IMPLEMENTATION TOTAL PRODUCTIVE MAINTENANCE (TPM) USING THE OVERALL EQUIPMENT EFFECTIVENESS (OEE) METHOD ON MACHINERY PRESS CUP ROLLERAT Denny Walady Utama; Zaharuddin Zaharuddin
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

PT. XZY is a company engaged in the processing of tea leaves. In carrying out the processing of tea leaves, this company uses equipment and machinery to process selected fresh teas, including a cup roller press machine. Damage to the machine or its components during an emergency can result in huge losses for the company. The purpose of this study is to implement a comprehensive maintenance program using the overall equipment effectiveness method and six big losses. From the results of the research conducted, the OEE value was obtained at 48.19% -55.92%. And the six big losses include breakdown losses 34.29%-45.38%, setup and adjustment losses 4.94%-10.73%, idle and minor stoppage losses 34.29%-45.38%, reduced speed losses 9.31% -17.87%, rework losses 0%.
THE ROLE OF ORGANIZATIONAL CULTURE AND ORGANIZATIONAL CLIMATE IN IMPROVING THE PERFORMANCE OF THE STATE CIVIL APPARATUS Eden Komarudin Soeardi
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

Work might be accomplished not only as an obligation but also because there has to be an increase in performance along with the development and demands of the circumstance. It is possible to generate improved performance with the assistance of a healthy organizational culture and a positive organizational climate. The purpose of this research is to determine the extent to which organizational culture and climate have an impact on the efficiency of the State Civil Apparatus (ASN) in the context of their work in the social service sector of Subang Regency. A survey was conducted utilizing a questionnaire that was handed out to public officials working in the environment of the Subang district office. This allowed for the collection of data. The responses of all fifty people who filled out the questionnaire were analyzed using a quantitative method that included multiple regression analysis techniques. This was done in order to determine the impact that organizational culture and organizational climate variables had on ASN performance. According to the findings of the research, ASN performance at the workplace is significantly impacted by both the company culture and climate. Implications and suggestions for management are also covered in this section.
APPLICATION OF THE DAMPSTER SHAFER METHOD TO DIAGNOSE MALNUTRITION IN TODDLERS Nuraisana, Nuraisana; Sijabat , Petti Indrayati; Harun , Muhammad
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

The toddler period is a golden period that must be put to good use by parents. The golden period is a determinant for the growth and development of children. Malnutrition in children can lead to various diseases that can hinder the growth and development of children. Posyandu Desa Tanjung Garbus Kampung is an integrated service center that provides public health services. Lack of knowledge and experience of Posyandu health workers in Tanjung Garbus Village Village is one of the problems in diagnosing malnutrition in toddlers because it is only based on the toddler's weight and height. The dempster shafer method is a method in expert systems that applies a mathematical theory for proof based on a function of belief and reasonable reasoning (belief function and reasonable thinking), which is used to combine separate pieces of information (evidence) to calculate the likelihood of an event. With this system, it is expected to be able to diagnose malnutrition in toddlers quickly and efficiently.
EXPERT SYSTEM TO DIAGNOSE POLYCYSTIC OVARY SYNDROME (PCOS) USING THE NAÏVE BAYES METHOD Agustina Simangunsong; Petti Indrayati Sijabat; Evi Ningsih Ana Giawa
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

The development of information systems and technology including expert systems that use facts, techniques and knowledge and reasoning in solving problems. The expert system that is currently developing is a system that adopts the knowledge of an expert in a particular field. In everyday life, we often encounter problems faced by humans, including disease problems in the human body, so we need to consult an expert in the health sector to solve these problems. However, sometimes patients with disease cannot consult an expert due to the large number of patients as well as time and cost issues. In light of these existing problems, it is necessary to develop a system that can help these patients, namely by developing an Expert System model for diagnosing Polycystic Ovary Syndrome (PCOS) using the Naïve Bayes method. The Naïve Bayes method will assist in diagnosing the disease.
FUZZY INFERENCE SYSTEM MODEL IN MEASURING STUDENT SATISFACTION IN ACADEMIC SERVICES USING THE SUGENO METHOD Sihaloho, Tulus Pramita; Wiguna, Dede Prabowo; Ginting, Sakaria Efrata
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

Analysis using a fuzzy approach is a solution to the problem of differences in the units of variables to be calculated correlation patterns. Almost all conventional analysis is approached with fuzzy methods. This results in calculations that are closer to the field situation. The Sugeno method is one of several methods in fuzzy analysis used in this study. Satisfaction is a situation where consumers are positive about a service or producer (service/product provider), in economics to find out this, several studies have been conducted. However, in the study, calculations were carried out using a firm set (crisp). While in this study, calculations were carried out using the Sugeno method. The results obtained in this study are the calculation of student satisfaction levels using the Sugeno method consists of several stages, namely: 1. Formation of fuzzy sets of product quality variables, 2. Formation of fuzzy rules that may occur where there are 42 rules, 3. Defuzzification (affirmation) using the weighted average calculation method which produces a defuzzification value of 67.47. Furthermore, research can be developed again using other parameters in determining the level of student loyalty until college graduation.
HAD A SOLAR POWER PLANT ANALYSED ON-GRID SYSTEM IN PALIPI VILLAGE, SAMOSIR Solly Arya; Zulkarnain Lubis; Antoni Antoni
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

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Abstract

At this time the availability of fossil energy itself is much less available and cannot be renewed in a short period of time. Where the need for electrical energy continues to increase, which is caused by the increasing population and the increasing number of commercial building developments. Indonesia has the potential for renewable energy resources in relatively large quantities. Among these sources, where this research discusses solar energy, it is one of the unlimited energy sources and is most widely used as an energy source used to generate electricity in areas that will develop in North Sumatra.
EXPLORATORY DESIGN AND ANALYSIS ON CUSTOMER PREFERENCE ON WEBTOON ADAPTATION SHORT MOVIE: A CASE STUDY OF 10 PM Anthony, Egan; Eryc, Eryc
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v10i5.1236

Abstract

This study aims to explore customer preferences for adapting a webtoon into a short film with a case study on the film 10 PM. The research was conducted using the FGD (Focus Group Discussion) method involving a number of respondents who had experience watching the short film 10 PM. The results of the study show that respondents like the horror genre as an option for short films and are satisfied with the ending of the story which solves the main mystery. In addition, respondents also provided input regarding character development and improving production quality, such as using more sinister makeup and selecting the right actors. In this case, the research results can provide views and recommendations for film producers and content creators to produce works that are better and in accordance with customer preferences. This research also shows the importance of listening to feedback from customers in developing a product. By understanding customer preferences, producers and content creators can adapt their production to meet customer needs and wants. Apart from that, this research also contributes to the development of knowledge about the production of audio-visual content in Indonesia, especially in the ever-growing horror genre.

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