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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.
Arjuna Subject : -
Articles 2,110 Documents
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Application of ant colony algorithm to optimize waste transport distribution routes in Tegal Gunawan, Gunawan; Handayani, Sri; Anandianskha, Sawaviyya
Jurnal Mantik Vol. 8 No. 1 (2024): 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.v8i1.5223

Abstract

Effective and efficient waste management is an essential challenge in developing cities like Tegal City. Optimizing waste transport routes can reduce operational costs and environmental impact. This study aims to implement the Ant Colony Algorithm (ACO) to optimize waste distribution routes in Tegal City. This method was chosen for its proven ability to solve route optimization problems. This study developed a model for the simulation and analysis of waste transportation routes using actual location data from the Integrated Waste Treatment Site (TPST) to the landfill (TPA). The results showed that the implementation of ACO reduced the total mileage from 27.50 km to 21.05 km, a significant reduction that shows the algorithm's efficiency in determining the optimal route. The conclusion of this study confirms that ACO can be effectively used to improve waste transportation operations
Application of artificial neural network with optimization of genetic algorithms for weather prediction Gunawan, Gunawan; Miftakhudin, Muhammad; Arif, Zaenul
Jurnal Mantik Vol. 8 No. 1 (2024): 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.v8i1.5225

Abstract

This research integrates Artificial Neural Network (ANN) with Genetic Algorithm Optimization (GA) to improve the accuracy of weather prediction. This method utilizes ANN-optimized GA, creating a model that can adapt to the dynamics of weather patterns. Using a dataset that includes meteorological variables such as temperature, humidity, and precipitation from January 1, 2023, to October 28, 2023, the model was tested for its ability to predict weather conditions accurately. The process begins with data preprocessing, ANN training, and GA optimisation. The evaluation showed that the optimized model was able to reduce the Mean Absolute Error (MAE) from 1.6865 to 0.8701, the Mean Absolute Percentage Error (MAPE) from 5.9864 to 3.1408, and the Root Mean Squared Error (RMSE) from 2.253 to 1.039, signalling a significant improvement in prediction accuracy and efficiency. This research confirms the potential of ANN and GA integration in improving weather prediction, providing new insights for developing more accurate and reliable prediction models for various applications, from agriculture to disaster management.
Application of the analytic network process method in the selection of raw material suppliers for yarn Gunawan, Gunawan; Hafid Subechi, Fadlan; Arif, Zaenul
Jurnal Mantik Vol. 8 No. 1 (2024): 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.v8i1.5227

Abstract

This study applies the Analytic Network Process (ANP) Method for selecting raw material suppliers for yarn, a crucial factor in boosting production efficiency and quality within the textile industry. The research aims to develop and validate a decision-making model that enhances supplier selection by integrating ANP with rigorous quantitative analyses. The methodology incorporates a series of experiments, thorough examination of historical data, and robust model validation processes to confirm the accuracy and dependability of the findings. The results demonstrate significant improvements in the precision of supplier selection, underscored by a high Pearson correlation coefficient of 0.89. This validates the model's effectiveness and reliability, suggesting that the developed framework not only supports data-driven and objective decision-making in the textile industry but also has potential applications in other sectors to enhance operational efficiency and sustainability
Fraud detection: An empirical study of publicly listed manufacturing in Indonesia (2020-2022) B. Sundari, B. Sundari; L.R., Az Zahra; Budiasih, Budiasih
Jurnal Mantik Vol. 8 No. 1 (2024): 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.v8i1.5233

Abstract

Financial statements are the final result of the accounting process that contains company financial information presented to both internal and external parties. External parties such as investors use these financial statements as a tool in making investment decisions. Currently, many competing companies show improved performance through financial statements. The necessity to continue to make improvements and improve performance in order to get a good impression from various parties, especially investors, is one of the incentives that force company management to manipulate financial statements. This study aims to detect fraud or financial statement fraud with the influence of Nature of Industry, Change in Director, Frequent Number of CEO's Picture factors in manufacturing companies on the IDX (Indonesia Stock Exchange) for the 2020-2022 period, using the F-Score model. Method the data used is secondary data obtained from the company's financial and annual statements. This study used a purposive sampling technique obtained by 12 companies. The data analysis technique used in this study is logistics regression analysis using SPSS 25 software. The results of this study show that the variables External Pressure and Change in Auditor partially have a significant negative effect on the dependent variable. While Nature of Industry, Change in Director, Frequent Number Of CEO's Picture partially shows positive for the dependent variable. Simultaneously, all variables have a significant negative effect on financial statement fraud
Application of the rule-based system method to determine the type of crops based on altitude and rainfall Gunawan, Gunawan; Firmansyah, Akhmad Lutfi; Santoso, Bayu Aji
Jurnal Mantik Vol. 8 No. 1 (2024): 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.v8i1.5234

Abstract

Applying the rule-based system method to determine the type of agricultural crop based on altitude and rainfall is essential in increasing productivity and efficiency in modern agriculture. This study aims to develop and implement a rules-based system to recommend suitable plant types by analyzing altitude and rainfall data in the Tegal District. The research method includes experimental design, quantitative analysis, and model validation using data from the Central Bureau of Statistics and various other internet sources, covering January 1 to December 31, 2023. The results showed that this rule-based system effectively provides accurate recommendations with an average accuracy rate of 85% and an error rate of 15%. This system helps farmers make informed decisions about crop selection, reducing crop failure risk and contributing to sustainable agricultural practices. Future research suggests integrating real-time weather prediction technology and additional environmental variables to improve the precision of recommendations and expand the applicability of these systems to other areas with similar characteristics
The effectiveness of instagram social media as an online promotion strategy @kraton_solo among communication science students at ums Fitriyanto, Bima Akbar; Santoso, Budi
Jurnal Mantik Vol. 8 No. 2 (2024): August: 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.v8i2.5242

Abstract

The role of technology plays a crucial part in increasing the popularity of tourist destinations today. Social media is highly diverse and offers many benefits to its users, especially in terms of finding places to visit. This research aims to determine the extent of the influence of social media (Instagram) in online promotion @kraton_solo. This study uses a descriptive quantitative research type with a survey method, which emphasizes explaining the influence of the AIDA method (Attention, Interest, Desire, Action). The data collection technique in this research is using primary data. The sampling technique used is nonprobability sampling. The population in this study consists of @kraton_solo followers and Communication Science students (UMS) who follow the @kraton_solo account, totaling 25,500 followers. Descriptive Statistical Analysis Based on the table above, it can be seen that the average value of Attention is 19.19. Interest is 18.31. Desire is 10.07. The average value of Action is 09.77. The average value of Visiting Decision is 10.46 4.3 Research Results (Hypothesis Testing) Based on table 4.3 above, the calculation of multiple linear regression using the SPSS program version 21.0 for windows. The results obtained are F calculated at 40.108 and a probability of 0.000. Because sig 0.000 < 0.05, it can be concluded that the variables of attention, interest, desire, and action together influence the decision to visit
The influence of product knowledge and customer relationship marketing on interest customer buy at PT. RHB Sekuritas Indonesia Medan Gultom, Pesta; Rezeki, Sri; Januarty, Widalicin; Sutantio, Andy
Jurnal Mantik Vol. 8 No. 1 (2024): 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.v8i1.5246

Abstract

This research aims to determine the influence of Product Knowledge and Customer Relationship Marketing on Customer Buying Interest at PT. RHB Securities Indonesia Medan. The research methodology used is a quantitative descriptive method. The research population that will be used in the research is all prospective customers who will make purchases from the company during the 2023 period, the exact number of which is not known. Due to the unknown population and bias in the number of consumers who make purchases, using the Hairs formula, 100 respondents were obtained, while the sampling technique was to use accidental sampling. The results of the research analysis show that the variable has a significant positive influence partially and simultaneously between Product Knowledge and Customer Relationship Marketing on customer buying interest at PT. RHB Securities Indonesia
Expert system for diagnosing diseases in corn plants using the navies bayes method Gunawan, Gunawan; Sya’bani, Adhita Zulfa; Anandianshka, Sawaviyya
Jurnal Mantik Vol. 8 No. 1 (2024): 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.v8i1.5265

Abstract

This research introduces an expert system using the Naive Bayes method to diagnose corn plant diseases, aiming to provide an automated, accurate, and scalable diagnostic tool. Traditional methods are often inefficient and error-prone, relying on expert knowledge and manual inspection. This study employs a quantitative approach, incorporating experimental design, data analysis, and model validation. Data on humidity, temperature, and soil conditions were collected from agricultural research centers and online databases. After preprocessing, key variables influencing disease occurrence were selected. The Naive Bayes model was optimized using cross-validation and implemented in Python, achieving an average accuracy of 92%. The model's performance, evaluated through accuracy, precision, recall, and F1-score, demonstrated the effective distinction between similar symptoms—the system's simplicity and computational efficiency suit resource-constrained environments like rural farms. By combining visual symptoms and environmental factors, the system minimizes dependency on expert knowledge, offering a comprehensive and scalable solution for disease management in agriculture
Sustainable Cultural Tourism Innovation: Cow Cart in Palbapang Village Dita, Apro; Pinontoan, Nexen Alexandre; Jati, Rocky Prasetyo; Jatisidi, Artyasto
Jurnal Mantik Vol. 8 No. 2 (2024): August: 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.v8i2.5270

Abstract

This study investigates the sustainable cultural tourism innovation using cow carts in Palbapang Village, Yogyakarta. The background highlights the importance of integrating sustainability into tourism development to preserve cultural and environmental heritage. A qualitative approach was employed, involving in-depth interviews, participatory observation, and document analysis to gather comprehensive data from stakeholders such as cow cart owners, tourism managers, tourists, and local residents. The findings indicate that the cow cart initiative is well-received by the community, enhancing local pride and providing economic benefits by boosting local small and medium enterprises (SMEs). The initiative also reduces environmental impact by minimizing reliance on motor vehicles and promoting waste management and nature conservation. The dis-cussion emphasizes the importance of community participation and government support in im-proving infrastructure and training to ensure high-quality services. The study concludes that cow cart tourism effectively promotes sustainable cultural tourism, preserving cultural heritage while fostering economic growth and environmental conservation. This model demonstrates how tra-ditional practices can be integrated with modern tourism demands to achieve long-term sus-tainability
The influence of organizational culture and motivation on employee performance at Banyan Tree Bintan Tambunan, Susi Marta; Afni, Riza; Manurung, Rianto
Jurnal Mantik Vol. 8 No. 2 (2024): August: 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.v8i2.5272

Abstract

Hotels are one of the destinations for tourists to rest before continuing their tourist destination. This is of course related to tourist satisfaction. The measure of tourist satisfaction is employee performance. Employee performance is also influenced by organizational culture and motivation. Organizational culture and motivation have a big influence in terms of improving performance. Based on this, this research was carried out with a sample of 80 people with questions using Likert scale measurements carried out using tests. This research instrument includes validity tests, reliability tests, multiple linear regression analysis. To test the classical assumptions, the normality test, multicollinearity test and heteroscedasticity test are used. To test the feasibility of the model, it includes the F test, R2 and t test using Excel and SPSS tools to obtain results that organizational culture and motivation influence employee performance both partially and simultaneously

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