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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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The influence of influencer endorsement on brand awareness and brand image towards purchase intention on "lozy" fashion and hijab products Annisa, Annisa; Kussudyarsana, Kussudyarsana
Jurnal Mantik Vol. 8 No. 4 (2025): 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.v8i4.6026

Abstract

This study investigates the influence of influencer endorsement on brand awareness and brand image toward purchase intention for "Lozy" fashion and hijab products. Employing a quantitative research approach, the study uses SPSS for data analysis, with primary data collected through questionnaires distributed via Google Forms. The sample is selected through purposive sampling, focusing on individuals aged 17 years or older with an interest in Lozy products. The study examines four variables: Influencer Endorsement (X1), Brand Awareness (X2), Brand Image (X3), and Purchase Intention (Y). Influencer Endorsement is assessed through reliability, knowledge, confidence, visibility, and attraction; Brand Awareness is evaluated based on recall, recognition, purchase consideration, and consumption; Brand Image is measured through brand association, favorability, and uniqueness; and Purchase Intention is gauged through transactional, exploratory, preferential, and referential interest. Statistical tests for validity, reliability, classical assumptions, coefficient of determination (R²), F-tests, and t-tests are conducted. The results reveal that brand awareness, brand image, and influencer endorsement all have a positive and significant impact on purchase intention. The study suggests expanding the scope of variables in future research to include factors such as electronic word-of-mouth (e-WOM), perceived quality, and product pricing
The influence of leadership behavior, commitment, and employee motivation on employee performance: a study at pt. adiwraksa atyanta in sukoharjo Fauzi, Rama Anwar; Kusdiyanto, Kusdiyanto
Jurnal Mantik Vol. 8 No. 4 (2025): 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.v8i4.6027

Abstract

This study investigates the impact of leadership behavior, commitment, and employee motivation on employee performance at PT. Adiwraksa Atyanta in Sukoharjo. Using a quantitative approach with a positivist philosophy, the research was conducted from July 2023 until the end of the study period, employing random sampling and data collection through interviews and questionnaires with a Likert scale. Data analysis was performed using PLS-SEM via SMARTPLS to evaluate both outer and inner models. Outer model evaluations included convergent validity, discriminant validity, and reliability, while the inner model assessed structural relationships. The results reveal that leadership behavior, commitment, and employee motivation all have a significant positive effect on work performance. However, the study faced limitations such as using a closed-ended questionnaire and focusing solely on the variables of leadership behavior, commitment, and motivation. It is recommended that future research incorporates a larger and more diverse sample and explores additional factors that may influence employee performance
A survey on residents' satisfaction and developer performance: case of kasran bumi permai Devani, Andita Putri; Muslichah, Istyakara
Jurnal Mantik Vol. 8 No. 4 (2025): 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.v8i4.5817

Abstract

This study aims to determine the satisfaction level of Kasran Bumi Permai residents with developer performance in four different aspects: personal and household, housing, neighborhood, and developer services. The study employs a quantitative approach, with data collected through questionnaires from 49 residents of Kasran Bumi Permai who participated in the survey. The data were then analyzed using descriptive analysis and Excel tools to test the validity and reliability of the research instrument; the tests were conducted to ensure that the research instrument - the questionnaire, had consistency and accuracy in measuring the respondents' satisfaction levels.  The findings show that residents of Kasran Bumi Permai are generally satisfied with the developer's performance. This includes satisfaction with the dwelling, neighborhood, developer services, greenery, cleanliness, tranquility, and security. This study also found that the level of residential satisfaction is influenced by a combination of personal characteristics, housing characteristics, neighborhood characteristics, and the quality of services provided by the developer. This study's findings can benefit Kasran Bumi Permai as a developer in its effort to improve resident satisfaction through improvements in aspects that still require attention, such as neighborhood, security, and greenery
The influence of kaizen behavior, OCB, and organizational commitment on employee job satisfaction at Sidoarjo Station Achmad, Ak’yas Daksani; Zaki, Achmad
Jurnal Mantik Vol. 8 No. 4 (2025): 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.v8i4.5833

Abstract

Kaizen culture, OCB and organizational commitment have been identified as three synergies that have an important influence in influencing employee job satisfaction, the importance of effective human resource management in order to achieve planned quality success. Kaizen is long-term and sustainable towards change, while OCB encourages voluntary behavior and organizational commitment to the extent to which the company has an emotional attachment to employees. The aim of this research is to describe numerically the extent of the overall influence of the variables that have been used as context in this research. A quantitative model with a descriptive approach was chosen to make it easier to explain statistical analysis by researchers using the total sample of employees working at Sidoarjo Station 1 as well as an assessment instrument using Linkert guidelines. The results of this research show that kaizen culture has a significant influence on employee satisfaction, as well as OCB and organizational commitment also have a significant influence on employee satisfaction which has been supported through testing the t-partial and f-simultaneous hypotheses.
Analysis of the application of the product-service system in the development of MSMEs on the teras jajan Mardhiyah, Wendy Febrianty; Azzahra, Paramitha Widyadhari; Alamsyah, Nanang
Jurnal Mantik Vol. 8 No. 4 (2025): 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.v8i4.5861

Abstract

In this digital era, people must adapt to the developments that occur, one of which is business competition. Business competition results in companies having to keep innovating in order to win the competition and continue to maintain market share and customers. This transformation gave birth to the conception of the Product-Service System (PSS), a paradigm that integrates tangible and intangible aspects in the value proposition to consumers. PSS or Product Service System is a reliable solution in business competition in this digital era to answer questions about how to develop a business that requires balance and strength to keep this business running for a long duration. The research methods used are Descriptive Qualitative, Interview, and Observation where these three studies aim to understand the phenomena that occur. Based on the results of the research conducted, it is found that of the nine quadrants of the Product-Service System (PSS), only four quadrants are feasible to be applied to Teras Jajan MSMEs, namely Product Related Service, Product Pooling, Outsourcing, and Functional Result. This has relevance to the problems faced by Teras Jajan MSMEs, namely the owners to develop the business they are running
K-means clustering as an imputation strategy for missing values in scholarship candidate data Muhammad, Muhammad; Sutikno, Tole; Riadi, Imam
Jurnal Mantik Vol. 8 No. 4 (2025): 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.v8i4.5904

Abstract

The issue of missing values in the scholarship selection process poses a challenge that can impact decision-making. This study aims to perform data imputation for scholarship candidate datasets using the K-Means method and evaluate its performance using the Mean Absolute Percentage Error (MAPE). K-Means was selected for its ability to group data based on pattern similarities, enabling it to estimate missing values in the scholarship candidate dataset. Two datasets were utilized in this study: one with 10% missing data and another with 20%. The results indicate that K-Means imputation can effectively apply to scholarship candidate data. Additionally, the findings reveal that the proportion of missing data influences the optimal number of clusters required. For the dataset with 10% missing data, the best configuration was achieved with 5 clusters, resulting in a MAPE of 13%. Conversely, for the dataset with 20% missing data, the optimal configuration required 2 clusters, yielding a MAPE of 14%.
Strategic analysis of long term with swot and QSPM methods (case study at fatabarfarm in grobogan) Tiya Pratiwi, Florentina Ajeng; Wulandari, Wulandari; Utama, Juventius Wahyu; Widyaningtya, Dian Prasetyo; Dito, Anoki Herdian; Maranata, Bonaventura Hendrawan
Jurnal Mantik Vol. 8 No. 4 (2025): February: 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 examine one of the MSMEs (Micro, Small, and Medium Enterprises) of Fatabar Farm, which operates in the goat farming sector in the Grobogan area. The research seeks to reevaluate its develop a structured long-term strategy for its business operations. The objective of this research is to determine the most appropriate strategy by analyzing the long-term strategy using SWOT analysis and the QSPM matrix. This approach aims to formulate new strategies that enhance the competitive advantage of the livestock business. The methods used include SWOT analysis and the QSPM, comprising several steps such as the IFAS matrix, EFAS matrix, IE matrix, IE combination matrix, and QSPM. The research was conducted using qualitative methods, including interviews and observations at Fatabar Farm in Grobogan. The results of the IFAS and EFAS matrices indicate that Fatabar Farm’s SWOT analysis is above average, as evidenced by an IFAS final score of approximately 2.92 and an EFAS final score of 3.42. The IE matrix also shows that the company is positioned in Cell II, which signifies a "grow and build" phase. Thus, based on the SWOT method, Fatabar Farm is proven to be viable for expansion and development using this strategy. In the SWOT strategy combination, Fatabar Farm is more advantageous when focusing on the combination of strengths and opportunities, particularly emphasizing high-quality, naturally sourced, and its strategic location as an agro-tourism destination. Meanwhile, the QSPM matrix results indicate that the best strategy is strategy 1, with a score of 5.14.
The influence of work culture through mediating employee loyalty on employee performance Surifah, Ade; Mukhsin, Moh; Imron, Ali
Jurnal Mantik Vol. 8 No. 4 (2025): 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.v8i4.5950

Abstract

The problem often faced by XYZ Hospital is the poor performance of employees. The purpose of this study is to analyze a model that is expected to improve employee performance by involving work culture with employee loyalty as an intervening variable in nurses at XYZ Hospital Serang. The research method used is a quantitative method using a questionnaire tool with an interval scale of 1-10 with a sample of 126 nurses from a population of 350 employees to test the five (5) hypotheses that have been set. The Structural Equation Model-Partial Least Square (SEM-PLS) model is used to test the statistical significance of the path coefficient. The results of this study indicate that work culture has a positive and significant effect on employee performance, work culture has a positive and significant effect on Employee Loyalty, Employee Loyalty has a positive and significant effect on Employee performance, and Employee Loyalty mediates the effect of Work Culture on employee performance
Information technology procurement risk management in fast moving consumer goods industry Yovita Louwisia, Fabiola Julia; Andika, Aditya
Jurnal Mantik Vol. 8 No. 4 (2025): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Abstract

Information Technology procurement is very crucial for companies in the Fast Moving Consumer Goods industry. The rapid product cycles of the industry require continuous launches of new products. This calls for the implementation of modern information technologies in every aspect of the supply chain in order to run operations smoothly and to be competitive. Fast Moving Consumer Goods companies need to ensure that information technologies that are needed for such purpose are procured and implemented. However, there are various risks that arise from IT Procurement in the Fast Moving Consumer Goods industry. To address this matter, this study developed an FMEA-based risk management template that are adjusted to the context of Fast Moving Consumer Goods industry. This study found 27 risks that are related to IT Procurement and develop risk treatment strategies for each of the risks. The risks with the highest RPN scores are mostly related to technological issues and vendor issues. Fast Moving Consumer Goods companies can use this FMEA-based risk management template as a starting point to develop a risk management strategy that are adjusted to their situation and context
Implementation Of Convolutional Neural Network For Diagnosing Rice Plant Diseases Using Colab Python Integrated With Streamlit Habib, Ahmad; Yahya, Haydar
Jurnal Mantik Vol. 8 No. 4 (2025): 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.v8i4.6003

Abstract

Agriculture, particularly rice cultivation, is crucial for Indonesia's food security; however, production is often hindered by pests and diseases. With over 30 million hectares of rice fields and millions of farmers relying on this staple crop, the impact of these challenges is significant, threatening both livelihoods and national food supply. This study aims to develop a rice plant disease diagnosis system using Convolutional Neural Network (CNN) methods implemented in a Streamlit-based application. Data were obtained from an open dataset on Kaggle, which includes images of healthy and infected rice leaves. The Streamlit application facilitates users in uploading images and receiving real-time diagnoses. Results show that the CNN model achieved an accuracy of 96.03% in identifying diseases, demonstrating a strong ability to recognize patterns in leaf images. This system offers an efficient solution to help farmers quickly and accurately detect rice diseases, contributing to increased agricultural productivity and food security in Indonesia

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