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HENGKI TAMANDO SIHOTANG
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Jurnal Mantik
Published by Institute of Computer Science
ISSN : -     EISSN : 26854236     DOI : -
Core Subject : Economy, Science, Education,
Computer Science & IT Economics, Econometrics & Finance Languange, Linguistic, Communication & Media
Jurnal Mantik (Manajemen, Teknologi Informatika dan Komunikasi) is a scientific journal in information systems/informati containing the scientific literature on studies of pure and applied research in information systems/information technology,Comptuer Science and management science and public review of the development of theory, method and applied sciences related to the subject. Jurnal Mantik Penusa is published by Institute of Computer Science (IOCS). Editors invite researchers, practitioners, and students to write scientific developments in fields related to information systems/information technology,Comptuer Science and management science). Jurnal Mantik is issued 4 (FOUR) times a year.
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Articles 2,110 Documents
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Analysis of twitter user sentiment on the monkeypox virus issue using the nrc lexicon Muhammad Khahfi Zuhanda; Anil Hakim Syofra Syofra; Devy Mathelinea; Prana Ugiana Gio; Yuan Anisa Anisa; Nanda Novita
Jurnal Mantik Vol. 6 No. 4 (2023): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v6i4.3502

Abstract

Monkeypox virus is closely related to variola (smallpox virus) and causes a smallpox-like disease. The increase in monkeypox cases has caused the general public to be involved in providing responses to seek and share information related to monkeypox on the internet, especially on social media platforms. This study aims to analyze a collection of 5000 tweets on August 5, 2022, for sentiment analysis using the NRC lexicon. Of the 5,000 tweets that have been extracted, it is obtained that the words that Twitter users often use are "health", "emergency", "public", "covid", and "declares". By using the classification using the NRC lexicon comparison, we found that the emotion type of fear was the most widely used emotion, which had a presentation of 19.73%, followed by anticipation emotion at 16.78%, sadness 14.77%, trust at 13.90%, anger 9.99%, shock 9.14%, disgust 8.12%, and happy 1288 7.90 %. The negative sentiment that often appears on Twitter is equal to 51.92%, and positive sentiment has a percentage of 48.08%. The negative sentiment words that appear most often are "emergency", "virus", "disease", "shit", and "risk". The positive sentiment words that appear most often are "public", "vaccine", "sex", "contact", and "united". The analytical method with the lexicon method is very well used in analyzing various emotions and sentiments on social media. %MCEPASTEBIN%
Integrating service quality, customer satisfaction, and brand gestalt in the context of multi-level marketing (MLM) companies Theresia C. Lebo; Deske W. Mandagi
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3639

Abstract

Ensuring service quality and customer satisfaction is essential for any company striving to establish a strong brand, attract new customers, and gain a competitive edge. Despite the increasing scholarly interest in service quality, customer satisfaction, and branding, there remains a dearth of empirical research on the nexus of these variables in relation to brand gestalt. The present study aims to address this theoretical gap by examining the link between service quality, customer satisfaction, and brand gestalt in the context of Multilevel Marketing (MLM) companies. This study employs a quantitative descriptive design, utilizing primary data obtained from a survey of 176 respondents who are either consumers or members of MLM companies. Data analysis is performed using Structural Equation Modeling (SEM) with the aid of the SmartPLS statistical program. The findings indicate that while service quality factors such as reliability, responsiveness, and empathy have no significant influence on customer satisfaction, tangibility and assurance aspects of service quality have a significant impact on customer satisfaction, which, in turn, has a significant influence on various dimensions of brand gestalt, including story, sensescape, servicescape, and stakeholder
Designing a wireless robot plotter as a supporting tool for understanding logical thinking Aan Darmawan H; Ratnadewi Ratnadewi; Agus Prijono
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3640

Abstract

OSTR stands for Open Source Turtle Robot is a turtle robot whose hardware and software are open source and published by MakersBox located in Adair Village, OR, United States of America. In this study OSTR will be developed into an Wireless Robot Plotter that can draw and write and is equipped with computer software to support the needs of the learning process in understanding logical thinking for students. In this study, a wireless Robot Plotter design has been successfully designed to support students' understanding of logical thinking. A logical thought in the form of syntactic logic steps "turtle graphics" is inserted into the application interface (created in visual basic language), then the logic steps are translated in the form of an image that can be viewed on the monitor screen and sent wirelessly to the Robot Plotter (using nodeMCU ESP8266-12 as the processor) to be drawn by the Robot Plotter. From the tests, the realized wireless Robot Plotter successfully drew according to the logic steps instructed through the created interface application. The research urgency is to train logical thinking by designing a robot plotter so that abilities and skills are sharpened and the plotter robot used to draw basic batik motifs can be utilized by the creative industry.
Classification of tourism business certification institution auditors based on the decision tree algorithm C4.5: case study of LSUP XYZ Ni Wayan Rena Mariani; I Made Sudjana
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3647

Abstract

Auditors who have appropriate competence are needed to carry out certification. The amount of experience a person has before becoming an Auditor determines the competence possessed by an Auditor. To be assigned to carry out certification, an auditor needs special competencies such as areas of expertise, work experience, and the Schemes and Standards that become the reference for certification. Auditors owned by LSUP need to be classified so that they can be assigned according to their competence. The C4.5 Decision tree algorithm is one of the methods that can be used to create a model used to classify and predict auditor competence. 65 data from 221 data are used as training data to form a model in the form of a tree structure. This model consists of 3 attributes that form a Node in a tree structure, namely the Workplace, Skill and Standard attributes. Each attribute has a value that forms a branch. The model was evaluated using the Confusion Matrix with a matrix size of 7x7 which resulted in a TP value of 99, FP value of 121, FN value of 121, and TN value of 1199. The accuracy level of this model is quite good, namely 84%. But the Precise and Recall values are not very good, only 45%.
Lightweight convolutional neural network for khat naskhi and riq'ah classification Muhamad Taufiq Riza; Oddy Virgantara Putra; Taufiqurrahman
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3651

Abstract

Arabic writing has various types of khat that are complex and different from each other, so it requires proper classification to identify the type of khat used. This research uses the Lightweight Convolutional Neural Network (CNN) classsification method to recognize the types of khat naskhi and riq'ah on Arabic writing datasets. The evaluation results show that this classification model has an accuracy of 98.75% on training data and 100% on validation data, with a relatively fast processing time of 2s 375ms per step so that the model can be implemented well in systems that require high data processing speed and also devices that have limited resources. These results show that the classification model using the Lightweight CNN layer can be used as an effective alternative in classifying types of Arabic writing, especially in recognizing certain types of khat such as naskhi and riq'ah. Furthermore, this research can be developed using a larger and more diverse dataset, as well as evaluated and compared with other classification models to improve the performance of the model in recognizing more complex types of Arabic writing.
Carimontir marketing PLAN s(motor vehicle service application) Fransisca Indra Triana Puspitasari; Edi Hamdi
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3658

Abstract

The high number of motorized vehicle population in Indonesia makes the potential need for motor vehicle services high. The high number of motorized vehicle users reflects the very dense activity of the community, increasing the need for facilities that can simplify and cut time for servicing motorized vehicles that are supported by existing information systems. The potential need for motorcycle service and the development of information systems is the background for Carimontir to create technology based on motor vehicle service applications. With this application, it can make it easier for motorized vehicle owners to carry out vehicle services more quickly and practically anytime and anywhere, while for partners, it will be easier to reach potential consumers. In Carimontir'themarketing plan ofCarimechanirbegins with determining the segmenting and targeting of potential partners and customers by determining the company's positioning. Carimechanir's marketing mix uses the 4P method, namely Product, Price, Promotion, and Place. The company also prepares sales marketing and sales marketing budgets, then determines revenue stream scenarios and assumptions including preparing revenue stream projections.
The role of employee creativity mediation on employee performance among expedition employees in Indonesia Aldhita Anggreliany Putri; Tantri Yanuar Rahmat Syah
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3667

Abstract

This research examines the influence of a high-performance work system, employee innovation, employee performance, entrepreneurial leadership, and organizational justice in courier workers who operate in expedition services in Indonesia during the COVID-19 epidemic. This research selected respondents using purposive sampling. Online surveys gather data. This research included 90 shipping industry employees with two years of experience. The research model is evaluated using SmartPLS and SEM. This study demonstrated that the high-performance work system improves creativity and performance. Employee inventiveness also boosts performance. Hence, employee creativity mediates the performance-high-performance work system link. Secondly, entrepreneurial leadership does not regulate the link between a high-performance work structure, employee inventiveness, and employee performance. This research shows that work happiness does not improve employee performance.
Comparison between naive bayes method and support vector machine in sentiment analysis of the relocation of the Indonesian capital Imam Rasyidin Muqsith Rizqi Prasetyo; Aziz Musthafa; Taufiqurrahman
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3669

Abstract

Moving the capital city of Indonesia has drawn pros and cons among the public. Therefore, it is important to analyze public sentiment towards moving the Indonesian capital to Kalimantan. In this study, we used data from Twitter and YouTube comments as many as 3895 and 1884 data, starting from 18 May to 6 July 2022. The purpose of this study was to classify public sentiment towards the move of the Indonesian capital city into positive, negative and neutral, as well as compare the results of sentiment analysis using the Naïve Bayes and Support Vector Machine methods. The K-Fold Validation method is used to measure the accuracy of sentiment analysis results. The results of the analysis show that SVM has better accuracy than Naïve Bayes with an accuracy percentage of 0.897 and 0.802 respectively. The resulting comment labels indicated that 56% were positive, 32% neutral, and 11% negative. In this study, we also compared the results of previous studies using the same method, namely Naïve Bayes and SVM. This research can assist the government in evaluating public opinion on the relocation of the Indonesian capital and can be a reference for future researchers in analyzing public sentiment in the future.
Color image enhancement using filtering and contrast enhancement Budi Utami Fahnun; Lukman Safri Andani; Hadyan Mardhi Fadlillah; Hendri Dwi Putra
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3678

Abstract

Image is an efficient media for information and communication. Filtering on image enhancement is one of the processes in image processing to reduce noise in the image. This study uses the type of noise Salt & Pepper to be applied to flower images and scenic images that the author uses in this study as a comparison test of filtering methods. Filters used in testing and comparison are Median Filter, Mean Filter, and Gaussian Filter. This research also applies the Contrast Enhancement process to highlight certain aspects contained in the image. From the results of testing and comparison of filtering methods it can be concluded that the best method for handling Salt & Pepper noise is Median Filter, which has the best MSE value is 0.7329 to the worst MSE value is 26,766, the best RMSE value is 0.8561 to the worst RMSE value is 5.1736, and the best PSNR value is 49,513 to the worst PSNR value is 33,889 . This research concludes that it has succeeded in making an application of Image Enhancement and comparison Using Median Filter, Mean Filter, Gaussian Filter, And Contrast Enhancement using MATLAB 2016b which can reduce Salt & Pepper noise.
Enhancing employee performace through talent management, perceived organizational support and employee engagament Muhammad Havis Yusuf; Donard Games; Hendra Lukito
Jurnal Mantik Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mantik.v7i1.3682

Abstract

PT PLN is an Indonesian state-owned company engaged in the electricity sector which has received a target of assignment to provide 100% electrification ratio in Indonesia and also the company must meet the Quality of Service (TMP) for customers. When this study was conducted, the realization of RE was 98.76% and TMP was still below service standards. Therefore, PT PLN must improve their employee performance to exceed customer expectations.This study aims to analyze the application of Employee Engagement in mediating the relationship between Talent Management and Perceived Organizational Support to Employee Performance. The population is focused on employees of PT PLN West Sumatra Distribution Main Unit with a total of 831 participants. Sampling using the quota sampling method was processed using  G-Power Statistics software with a sample of 152 participants. By using the Structural Equation Model (SEM)-PLS, the results were obtained that Employee Engagement does not mediate the relationship between Talent Management and Employee Performance, but Employee Engagement as a mediator of the relationship between Perceived Organizational Support and Employee Performance. This research adds to the knowledge of how companies engaged in energy can provide support to their employees, leading to attachments that ultimately have an impact on employee performance.

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