cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
HENGKI TAMANDO SIHOTANG
Contact Email
hengki_tamando@yahoo.com
Phone
-
Journal Mail Official
editor.mantik@iocscience.org
Editorial Address
Perumahan Romeby Lestari Blok C, No C14 Deliserdang, Sumatera Utara, Indonesia
Location
Unknown,
Unknown
INDONESIA
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 2,151 Documents
 95   96   97   98   99 
THE MEDIATION EFFECTS OF SATISFACTION IN THE INFLUENCE OF FUNCTIONAL VALUE AND EMOTIONAL VALUE ON CUSTOMER LOYALTY ONLINE ETHNIC BATAK PRODUCTS IN PEMATANGSIANTAR nutri ciasi; liharman saragih; elfina damanik
Jurnal Mantik Vol. 6 No. 1 (2022): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

This study aims to determine the effect of functional and emotional value on online customer loyalty of ethnic batak products in Pematangsiantar City with the intermediary variable of satisfaction as a partial and simultaneous mediating variable. The study used a quantitative descriptive approach. Data was collected using a questionnaire method via google form to 96 respondents, which were samples obtained through accidental sampling and sample determination using the Lemeshow formula. The data analysis techniques used in this research are data instrument test, classical assumption test, multiple linear regression analysis, R2 determinant coefficient test, t test, F test and path analysis using the IBM SPSS V.26 program. The results showed that the functional and emotional variables had a significant positive direct influence on loyalty, respectively 0,017 and 0,005. The indirect influence value between functional variables through satisfaction with loyalty is 0.273 and between emotional variables through satisfaction with loyalty is 0.351.
Simulation Signature-Based Carving Raster Image Using Finite State Automata Hendra Budi Kusnawan; Windu Gata; Laela Kurniawati
Jurnal Mantik Vol. 6 No. 1 (2022): 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.v6i1.2259

Abstract

Automata is used as the first stage of describing an idea or example to develop a model, be it software or hardware. Theoretically the concept of automata can be used to simulate the signature-based carving process for identification/recovery of raster type image file PNG and GIF. The research and data collection method used is based on a literature study by explaining the Finite State Automata (FSA) concept in simulating the carving process on an image file. This simulation is a simple example of implementing the automata concept. Even though it is only an abstract machine, automata can be used to simulate various other things that will be solved by computation.
e-Service Quality and e-Trust Models in Increasing Generation Z e-Customer Satisfaction in e-Wallet Transactions with ShopeePay Application Syifa Pramudita Faddila; Laras Ratu Khalida; Robby Fauji
Jurnal Mantik Vol. 6 No. 1 (2022): 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.v6i1.2260

Abstract

The rapid development of the digital world, one of which is marked by changes in traditional transactions to digital transactions through digital wallets (e-Wallet). E-Wallet competition in Indonesia is quite tight, ShopeePay has decreased its position in terms of the most frequently used e-Wallet in 2020 and 2021. So it is necessary to do further research as an effort to increase e-Customer Satisfaction through e-Service Quality variables and e-Trust especially among Generation Z as a characteristic that is close to the digital world. The study was conducted on 166 students of the Management Study Program at the University of Buana Perjuangan Karawang class of 2019 – 2021 who are Generation Z and active users of ShopeePay. This study uses multiple linear regression analysis. The results of the study explain that e-Service Quality and e-Trust have a significant effect on e-Customer Satisfaction either partially or simultaneously. The higher the e-Service Quality and e-Trust provided by the company to consumers, the higher the e-Customer Satisfaction for Generation Z users of the ShopeePay application e-Wallet.
Knowledge Sharing, Psychological Empowerment and Lecturer Performance at UBP Karawang Campus: A Survey Enjang Suherman; Suroso; Citra Savitri
Jurnal Mantik Vol. 6 No. 1 (2022): 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.v6i1.2261

Abstract

The Covid-19 pandemic has changed the work pattern of lecturers, which has an impact on the performance of the tridharma of lecturers' universities. Lecturers rely on individual abilities, psychological encouragement, and determine development in completing a job, this is psychological empowerment. Sharing knowledge of lecturers will produce new knowledge so that lecturers are able to make changes. However, not all lecturers want to share their knowledge and not all lecturers have the motivation to explore information or knowledge from other lecturers. UBP Karawang is a newly established university and has great potential to develop with all its shortcomings. The purpose of this study is to analyze and describe knowledge sharing, psychological empowerment and performance of UBP Karawang lecturers. This research method uses a descriptive design while the research method is a survey and literature study. The research data uses primary and secondary data from lecturer interviews while secondary data is a literature review. The data analysis technique used descriptive analysis. The results showed that knowledge sharing activities were seen from the perspective of individual factors, technology and organizational factors. The psychological empowerment activities of lecturers are also good, this is because they are proud to be lecturers, have a sense of competence, a sense of influence, and a sense of work autonomy. And the results of the lecturer's performance have been going well, including learning activities, service, and research.
Analysis of Business Strategies on Msmes Coffee Promise Souls Branch East Telukjambe Karawang Laras Ratu Khalida; Syifa Pramudita Faddila; Neni Sumarni
Jurnal Mantik Vol. 6 No. 1 (2022): 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.v6i1.2262

Abstract

The current era of globalization requires business actors to be innovative and think creatively in developing their businesses so that they are not inferior to their competitors. Of the many businesses that are emerging today, one of the most popular businesses is the coffee shop business. Janji Jiwa Coffee Shop, Telukjambe east Karawang branch is a coffee shop that is currently trending among millennials. The purpose of this research is to find out and analyze the existing business strategy at Janji Jiwa Coffee Shop, Telukjambe east Karawang branch. The method used in this research is descriptive qualitative analysis method and analyze it using SWOT analysis. Sources of data used in this study are primary and secondary data, where primary data was obtained from observations and in-depth interviews related to business strategies at Janji Jiwa Coffee Shop, Telukjambe east Karawang branch to the research subject. The results of the SWOT analysis and the SWOT matrix show that Janji Jiwa Coffee Shop Telukjambe Timur Karawang is in Quadrant 1, where the company is in a very profitable situation. Coffee shops have opportunities and strengths so they can take advantage of existing opportunities. The strategy that must be applied in this condition is to support an aggressive growth policy (Growth oriented strategy). And in the IE matrix analysis, this business is included in the quadrant II business unit strategy where the business enters the growth and development stage.
Ear Identification Using Convolution Neural Network Nadiyah Hidayati; Mawadatul Maulidah; Elin Panca Saputra
Jurnal Mantik Vol. 6 No. 1 (2022): 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.v6i1.2263

Abstract

Today's identification system has become a necessity for system security. One method of identification system that has a high level of security and accuracy is biometrics. Biometrics uses parts of the human body that are considered unique and can differentiate between one individual and another. One of the new biometrics that has become a concern in the world of research on biometrics is the ear. Ears have several advantages that other biometrics do not have, one of which is that they are not affected by changes in age. The purpose of this study was to determine the accuracy of the Convolutional Neural Network (CNN) algorithm in identifying ear images. CNN is currently one of the most superior algorithms in the field of object classification and identification. In this study, the ears that will be identified are images taken from the Kaggle dataset of 780 ears from 13 individuals with 60 images for each individual. This study resulted in a training accuracy of 96,3% and a testing accuracy of 79,7%.
A MEASURING THE FINANCIAL RATIO OF BNI SYARIAH BANK USING CAMEL ANALYSIS Elfina Damanik; Sartika; Risma Nuraini munthe; Desman Serius Nazara
Jurnal Mantik Vol. 6 No. 1 (2022): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

This study was conducted to determine the soundness of BNI Syariah Bank when reviewed using CAMEL analysis. As stated in Article 3 of Bank Indonesia Regulation Number 9/1/PBI/2007, the financial ratios used to measure the health of a bank are Capital, Asset, Management, Earning, and Liquidity (CAMEL). The research method used is the quantitative method, with data analysis of CAR, KAP, NPM, REO, ROA, CR. With 5 composite ratings, rating 1 reflects the bank is classified as very good, rating 2 is classified as good, rating 3 is quite good, rating 4 is classified as poor, and rating 5 is sensitive. The results of this study in 2017 received a Healthy predicate with a final score of 91.2 from the CAMEL factor, in 2018 it received a final score of 89.8 with a healthy predicate, in 2019 it received a final score of 88.7 with a healthy predicate, and in 2020 it received a healthy predicate. final score of 83.8 with a healthy predicate
Sentiment Analysis Of Detergen Products At Suzuya Mall Rantauprapat Navie Bayes Method Nurhikmah Nasution; Ibnu Rasyid Munthe; Gomal Juni Yanris
Jurnal Mantik Vol. 6 No. 1 (2022): 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.v6i1.2269

Abstract

Suzuya Mall Rantauprapat is an Indonesian convenience store chain with numerous locations. Based on data from top brands from 2014 to 2018, we discovered that the market share of powder detergent is uncertain each year. Powder detergent companies must understand consumer desires and monitor the position of their products on a regular basis in order to anticipate market share changes.Data is cleaned by removing capital letters and punctuation marks, followed by feature extraction. Feature Extraction aims to perform calculations and comparisons that can be used for the classification of an image. Nave Bayes is a method or stage of data processing with the nave bayes method. The Naive Bayes classifier is a method of classifying based on Bayes'' tyrannology. It uses probability and statistical methods first put forward by Thomas Bayes. The classification model is then assessed to determine its accuracy and performance in computer science.Data set is data that has been changed in the form of tabulation from research data into excel form. After the data is processed by the naïve bayes method, the confusion matrix is obtained as follows. It can be known the factors that consumers use in choosing detergent products are the fragrance factor, price, foam produced, and the effect on the hands.Machine learning, specifically Nave Bayes, will be used in this research methodology. The Naive Bayes classifier is a method of classification rooted in Bayes'' theorem. A confusion matrix is a table that contains many rows of test data that the classification model predicts to be true or false. Process data mining can be made up of any number of nested operators that are described in XML files and built using RapidMiner.
Sentiment Analysis of Detergen Products at Suzuya Mall Rantauprapat Navie Bayes Method NURHIKMAH NASUTION
Jurnal Mantik Vol. 6 No. 1 (2022): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

Suzuya Mall Rantauprapat is an Indonesian convenience store chain with numerous locations. Based on data from top brands from 2014 to 2018, we discovered that the market share of powder detergent is uncertain each year. Powder detergent companies must understand consumer desires and monitor the position of their products on a regular basis in order to anticipate market share changes.Data is cleaned by removing capital letters and punctuation marks, followed by feature extraction. Feature Extraction aims to perform calculations and comparisons that can be used for the classification of an image. Nave Bayes is a method or stage of data processing with the nave bayes method. The Naive Bayes classifier is a method of classifying based on Bayes'' tyrannology. It uses probability and statistical methods first put forward by Thomas Bayes. The classification model is then assessed to determine its accuracy and performance in computer science.Data set is data that has been changed in the form of tabulation from research data into excel form. After the data is processed by the naïve bayes method, the confusion matrix is obtained as follows. It can be known the factors that consumers use in choosing detergent products are the fragrance factor, price, foam produced, and the effect on the hands.Machine learning, specifically Nave Bayes, will be used in this research methodology. The Naive Bayes classifier is a method of classification rooted in Bayes'' theorem. A confusion matrix is a table that contains many rows of test data that the classification model predicts to be true or false. Process data mining can be made up of any number of nested operators that are described in XML files and built using Rapid Miner.
Problems Of Islamic Religious Education Learning During The Covid-19 Pandemic At SMA Muhammadiyah 1 Muntilan Wahyu Ari Wibowo; Achmad Anugrah Faisal; Imron Imron
Jurnal Mantik Vol. 6 No. 1 (2022): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

At this time all countries in all corners of the world are being hit by a major disaster caused by the Covid-19 virus. The Covid-19 virus has had an impact on the world of education, including Islamic religious education. In an emergency situation like this, Islamic religious education learning still has a very important role for students when facing the Covid-19 pandemic. Because in essence the purpose of learning Islamic religious education is to increase the faith, understanding, appreciation and practice of students about the religion of Islam so that they become Muslim human beings who believe and fear Allah SWT and have noble character in personal, social, national and state life. The purpose of this study was to identify the problems of learning Islamic religious education in online teaching and learning activities during the Covid-19 pandemic. This study uses a field research method (Field Research) and uses a descriptive qualitative approach. The data collection techniques used in this study were interviews and observations. While the data analysis in this study used qualitative data presented without calculating numbers. The respondent of this research is one of the homeroom teachers and students of class X at SMA Muhammadiyah 1 Muntilan.

Page 97 of 216 | Total Record : 2151

 95   96   97   98   99 

Filter by Year

2019 2026


Reset
Filter By Issues
All Issue Vol. 9 No. 4 (2026): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 9 No. 3 (2025): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 9 No. 2 (2025): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 9 No. 1 (2025): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 8 No. 4 (2025): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 8 No. 3 (2024): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 8 No. 2 (2024): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 8 No. 1 (2024): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 7 No. 4 (2024): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 7 No. 3 (2023): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 7 No. 2 (2023): Agustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 7 No. 1 (2023): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 6 No. 4 (2023): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 6 No. 3 (2022): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 6 No. 2 (2022): August: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 6 No. 1 (2022): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 5 No. 4 (2022): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 5 No. 3 (2021): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 5 No. 2 (2021): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 5 No. 1 (2021): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 4 No. 4 (2021): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 4 No. 3 (2020): November: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 4 No. 2 (2020): Augustus: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) Vol. 3 No. 3 (2019): November: Manajemen, Teknologi Informatika dan Komunikasi (ManTIK) Vol. 3 No. 2 (2019): Augustus: Manajemen, Teknologi Informatiak dan Komunikasi (Mantik) Vol. 3 No. 1 (2019): May: Manajemen dan Informatika More Issue