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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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Implementation of human centered design (hcd) Models in designing web-based information systems Mentari Tri Indah Rahmayani; Reno Firdaus; Peryoly Tekwana
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.v6i4.3527

Abstract

The digital revolution has been able to change aspects of life. As of October 2020, the total number of cellphone users is 5.2 billion or 67% of the total world population (datareportal). The hospital is one of the public service institutions in the health sector that must implement good corporate governance and good clinical governance. Bengkalis Hospital is the only hospital located in Bengkalis Regency. Currently the registration of outpatients and inpatients is done manually, the patient or the patient's family must come in person to queue to pick up the registration number. Based on these problems, the authors will design a web-based hospital outpatient registration information system by applying the Human Centered Design (HCD) method. The Hcd method is a method with a problem approach that exists when the system is running with users and stake holders. this makes patients have to come earlier so they can get service faster and have to queue for hours just to take a registration number. The results of this study obtained the design of an information system that can be utilized by patients and staff/staff at Bengkalis Hospital in order to improve excellent service.
Analysis of technological, organizational, environmental, and digital adoption factors on the net benefit of the mses sector in east java-indonesia Aris Kusumawati; Ully Asfari; Aisyah Putri Amni Ramadhanti; Ekky Dea Audry Jaya; Farid Duta Hadyanto
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.v6i4.3556

Abstract

Digital transformation is a necessity for organizations in the current new normal era. Most organizations have successfully adapted and continued to carry out business activities during the crisis due to the Covid-19 pandemic by carrying out digital transformation. Digital transformation is challenging to implement in small-scale organizations, especially the MSME sector, which has many limitations. So, the success of digital transformation in the MSME sector is still in doubt. To examine this phenomenon, this research proposed a conceptual model developed based on TOE and D&M (DeLone and McLean). Using quantitative methods in the new normal era, the proposed conceptual model aims to determine how technological, organizational, environmental, and digital adoption influences net benefits in the MSME sector. The survey has been distributed online to the MSME sector in East Java. It obtained 400 respondent data based on a random sampling technique and analyzed using PLS-SEM. Based on the conceptual model, the researcher has proposed four hypotheses that have been tested using PLS. The results of this research found that technological, organizational, environmental, and digital adoption positively affected net benefits in the MSME sector. The four proposed hypotheses are proven.
Auditing learning management system using information technology infrastructure library (ITIL) Parmonangan R Togatorop
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.v6i4.3587

Abstract

Information security is an important asset in the organization so that the confidentiality, integrity and availability of information must be maintained. One way to do this evaluation is to conduct an audit. Audit is an evaluation process to ensure the level of suitability between a system and predetermined criteria. In this paper, an audit will be carried out on the security of IT services at the Del Institute of Technology. Service audits are conducted to determine the level of security of information technology services used. This audit was conducted using a framework called ITIL (Information Technology Infrastructure Library). ITIL is a framework that functions to manage business services and IT infrastructure with the aim of ensuring that the quality of IT services is in accordance with the criteria. This audit was carried out using data from a questionnaire given to several students of the Del Institute of Technology, where this questionnaire contains five subdomains that will be analyzed to determine whether the security of the services is good or not. It can be concluded that the LMS has implemented service operations properly. The output of this research is a recommendation to further improve the security of IT services.
Social media optimization as an advertising tool for business development Nugrahaning Esa Pratiwi; Johannes Latuny; Big Greogory Kaitelapatay
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.v6i4.3596

Abstract

Having a business requires the ability to manage and develop it and the way is from advertising. Interesting and popular advertising today is to optimize new media, that is social media. My Rise as a small fashion business in Salatiga city, initiated by young people who know the importance of social media and can manage and utilize social media, brought My Rise can survive until this day. Through a qualitative descriptive approach, research data obtained from interviews and observations on My Rise's social media were analyzed to get the answer of research questions about social media optimization as an advertising tool for business development at My Rise. The result shows that My Rise uses social media including Facebook, Instagram and TikTok where the advertising content displayed is in audio, video, and photos while using the features offered and adjusting the audience's character. In the other way, My Rise continues to manage its offline store and participate in weekly traditional market events as personal branding. Social media optimization as an advertising tool has positively impacted My Rise, namely increasing the number of customers and income.%MCEPASTEBIN%
The implementation of augmented reality of promotional media in daihatsu dealers Tri Handayani; Rihayes; Tri Yuliati; Ari Sellyana
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.v6i4.3597

Abstract

Some companies make product offers or promotions that aim to improve the quality and attractiveness of their products and increase consumer attractiveness. Daihatsu Duri car dealership is one of them. Augmented reality (AR) is one of the media used for product marketing. This research is how to use Augmented Reality to promote Daihatsu dealers and display 3D objects of Rocky Daihatsu cars on mobile markers as promotional media. The results of this study indicate that in the menu display experiment, one menu that was not displayed successfully was to select zoom. Testing on markers can be tested properly. For remote experiments, at a distance of 60 cm it can be detected, but not consistently. Meanwhile, light testing shows that the ambient light type of ARCamera Light is a bit dark, and markers are not detected properly. A stable internet connection is required to use this app, and lighting is also very important as AR cameras cannot detect markers in low light, so they cannot display 3D objects automatically.%MCEPASTEBIN%
The effect of profitability and debt policy on tax aggressivity with company size as a moderation variable Vani Vauliyanti; Agus Ismaya Hasanudin; Nurhayati Soleha
Jurnal Mantik Vol. 7 No. 3 (2023): November: 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.v7i3.3905

Abstract

This study aims to determine the effect of profitability and debt policy on tax aggressiveness with company size as a moderating variable in food and beverage sub-sector manufacturing companies listed on the Indonesia Stock Exchange for the 2018-2022 period. This sample selection used a purposive sampling method so that the samples obtained were 14 food and beverage companies listed on the Indonesian stock exchange in 2018-2022 with a total of 70 observational data for 5 years. The data collection technique used is documentation with source data using secondary data taken through the official website of the Indonesian Stock Exchange. Observation test the hypothesis using multiple linear regression analysis and Moderate Regression Analysis (MRA) with statistical procedures using SPSS software version 26. The results show that profitability has a negative and significant effect on tax aggressiveness, debt policy has a negative effect on tax aggressiveness. Based on the results of the MRA test, firm size cannot moderate profitability on tax aggressiveness and firm size cannot moderate debt policy on tax aggressiveness
The Influence of Market Prices, Income, and Tastes on Demand for Fashion Products in the Virtual Market on the Shopee Application Juliani Pudjowati; Susi Tri Wahyuni; Siti Nurul Asyiyah; Mas’adah Mas’adah
Jurnal Mantik Vol. 7 No. 3 (2023): November: 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.v7i3.3925

Abstract

This study aims to find out "The Influence of Market Prices, Income, and Tastes both partially and simultaneously on the Demand for Fashion Products in The Virtual Market on Shopee Applications". The sample of this study is a Student of Development Economics of Bhayangkara University Surabaya. Sampling techniques are performed using saturated sampling techniques. This data test uses normalias test, reliability test, and validity test, multiple linear regression test, F Test, T Test, R Square Test, and Dominant Test. The results of this study show that variable market prices, income, and tastes positively and significantly affect the demand for fashion products. Among the variables of market prices, income, and tastes, the dominant variable towards the demand for fashion products in the virtual market on the Shopee App is the variable tastes.
Solving the maximum flow problem with the lift-to-front algorithm Hotler Manurung; Tinus Ginting; Adnan Surbakti; Julida Harahap; Resep Sembiring
Jurnal Mantik Vol. 7 No. 2 (2023): Agustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

Maximum flow network is an optimization problem related to the effort to optimize the system in maximizing the scale of materials that can be shipped from source to destination based on the system's capabilities. This problem can be solved using the lift-to-front algorithm. The lift-to-front algorithm is based on the application of lists by maintaining a list of vertices in the network. When a vertex is selected it is moved to the front of the list (hence the method is called 'lift-to-front') and the method starts its review once again. The results show that the designed software can demonstrate the application of the Lift-to-Front Algorithm in solving the Maximum Flow problem.
Optimization of cross-validation testing on the decision tree and k-nearest neighbor in classifying election data Desilia Selvida; Purwa Hasan Putra
Jurnal Mantik Vol. 7 No. 3 (2023): November: 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.v7i2.3999

Abstract

General elections are the process of choosing someone who represents the people to occupy a government seat. Polemics regarding the postponement of the 2024 General Elections are widely discussed by Indonesian people. However, the fact is that the position of the government (executive) is currently the majority. This condition is caused by the support of a strong party coalition in the legislature (parliament) in a presidential system. This problem can be solved by data mining. Data mining is one way that can be used to predict and detect a case, including predicting the winning party. There are various kinds of algorithms. The results of the study are positive value predictions (class precision), namely 94.88% with 19 data suitability and 352 data discrepancies, for negative value predictions, namely 60.42% with 29 data suitability and 19 data discrepancies. Meanwhile, the true negative class recall was 94.88% and the true positive was 60.42%. The results of the accuracy of testing with a decision tree is 90.92%. While the results of the K-Nearest Neighbor optimization, it is known that the prediction of positive value (class precision) is 93.98% with 23 data suitability and 352 data discrepancy, for negative prediction value is 67.57% with 25 data suitability and 12 data discrepancy. While the true negative class recall was 96.77% and true positive was 52.08%. The results of the accuracy of testing with a decision tree is 91.65%.
Optimizing nazief adriani's stemmer algorithm in detecting indonesian word errors using sastrawi Muhamad Rosidin; Muhammad Fauzan Gustafi; Septia Ayu Pratiwi
Jurnal Mantik Vol. 7 No. 3 (2023): November: 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.v7i3.4020

Abstract

The study aimed to enhance the performance of Nazief Adriani's Stemmer Algorithm for detecting word errors in Indonesian texts by utilizing the Sastrawi stemmer. The evaluation utilized a dataset containing Indonesian sentences from a specific source, consisting of 27,704 words. The processing time comparison between the two stemmer algorithms, Nazief Adriani and Sastrawi, is presented in the results. Each algorithm underwent three trials, and it was evident that Sastrawi demonstrated significantly faster processing times, averaging around 2.3254 seconds, while Nazief Adriani averaged approximately 301.7509 seconds. Additionally, the word error count detected by each algorithm in their respective trials is also presented. Nazief Adriani detected 3048 word errors in each trial, whereas Sastrawi detected an average of 1629 word errors. To provide a visual representation of the word error detection comparison, a graphical representation highlighted Sastrawi's superior performance in efficiently identifying word errors in Indonesian texts

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