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Jurnal Mantik

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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 2,196 Documents

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Digital first impressions: how personal branding on social platforms drives person–organization fit in Surabaya Vonni Meyra Sutikno; Daniel Joel Immanuel Kairupan
Jurnal Mantik Vol. 9 No. 4 (2026): 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.v9i4.6874

Social media is an important element in the digital recruitment process. Digital recruitment no longer only means recruiters assessing applicants, but also developing its function for applicants to do personal branding and assess companies. The urgency of this research arises because there is a need to understand how job applicants behave and market themselves on social media and how it affects person-organization fit in the company. This research aims to fill the research gap by knowing the digital behavior of job applicants in building personal branding on social media and its impact on the perception of the fit of their own values with the intended company. This research method uses a quantitative approach with a survey method. Sampling was carried out using the purposive sampling technique to 200 job applicants in the city of Surabaya who had or were applying for jobs and were actively using professional social media such as LinkedIn. The analysis was carried out with SPSS through validity and reliability tests, descriptive analysis, Pearson correlation, and multiple linear regression. This research is expected to make a theoretical and practical contribution in understanding the influence of personal branding development on the Person-Organization Fit felt by applicants in digital recruitment. In addition, the results of this research are also expected to be a reference in the development of effective personal branding strategies for applicants as well as social media-based employer branding and digital recruitment strategies for companies

Sustainable tourism village development strategy to improve community welfare through a balanced scorecard approach in jombang regency Mas’adah Mas’adah; Mokhtar Sayyid; Dadang Wiratama; Nano Firmasyah; Sharita Aulia Rochmi
Jurnal Mantik Vol. 9 No. 4 (2026): 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.v9i4.6879

The purpose of this study is to analyze and formulate an effective sustainable tourism village development strategy to improve the welfare of the community in Jombang Regency, especially through the Balanced Scorecard approach. The method in this study uses a qualitative case study approach. This study focuses on finding facts about a social phenomenon. Data analysis uses Miles Huberman's qualitative analysis consisting of data reduction, data presentation, and conclusions. The results of the study include four sustainable tourism village development strategies using the Balanced Scorecard approach, namely: 1. The Financial Perspective shows that the contribution of Pandansili tourism to PADes has begun to be seen with an increase in income of around 25%, but there is still a need for diversification of income sources. 2. The Customer Perspective confirms that visitor satisfaction is quite good (78%), but there is still a need for improvement in tourism services. 3. The Internal Business Process Perspective reveals that although BUMDes Maju Sejahtera has had a management SOP, its implementation is not optimal. Service digitalization is needed. 4. The Learning and Growth Perspective highlights the limited competency of local human resources in digital management and marketing. Development strategies should focus on training, empowering the younger generation, and innovating tourism products. In conclusion, overall, the application of the Balanced Scorecard approach provides a comprehensive strategic framework in describing the direction of sustainable development of Pandansili Tourism Village, by balancing financial aspects, visitor satisfaction, internal processes, and human resource development

Market basket analysis of fresh fruit retail using the apriori algorithm: identifying purchasing patterns and popular products Syoba Ismaunun; Selsa Trikartika; Sri Rezeki Candra Nursari; Muhammad Abiyu Muflih Az Arianto
Jurnal Mantik Vol. 9 No. 4 (2026): 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.v9i4.6900

The fruit retail sector continues to grow; however, most market basket analysis studies focus on non-perishable products, while fresh fruit retail remains underexplored despite its perishable and demand-volatile characteristics. This lack of empirical evidence often leads to inefficient stock management, inventory spoilage, and frequent stock-outs. This study addresses this research gap by applying the Apriori algorithm to analyze purchasing patterns and identify popular products in fresh fruit retail. The dataset consists of 50 sales transactions involving 25 fruit items collected from a single retail store. A minimum support threshold of 30% and a minimum confidence threshold of 60% were used to generate association rules. The results show that Citra Guava and Matoa are the most popular fruits, each with a support value of 62%. Several strong association rules, including Citra Guava–Matoa and Deli Guava–Matoa, exhibit confidence values above 80% and lift values greater than 1. These findings indicate that purchasing patterns in fresh fruit retail are relatively simple and concentrated. This study contributes by extending the application of market basket analysis to perishable product contexts and providing data-driven insights to support inventory planning and promotional strategies in fruit retail

Production cost analysis of Loush Bath exfoliating soap honeymon variant using the full costing method in 2025 Nala Ratri Santika; Abel Gandhy; Oktori Kiswati Zaini
Jurnal Mantik Vol. 9 No. 4 (2026): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik)
Publisher : Institute of Computer Science (IOCS)

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

Pricing in micro, small, and medium enterprises (MSMEs) in the personal care sector is often based on estimates or market conventions without systematic production cost calculations, potentially resulting in prices that do not reflect the actual cost structure of the business. Previous studies have generally discussed the calculation of the Cost of Goods Sold (COGS) using the full costing method descriptively, but have not explicitly linked it to the evaluation of selling price feasibility and theoretical implications for cost-based pricing. Therefore, the gap in this study lies in the limited studies that integrate COGS calculations with an analysis of the rationality of selling prices in small-scale personal care MSMEs. This study aims to calculate COGS using the full costing method and evaluate the suitability of the selling price at Loush Bath MSME for the Honeymon variant of Exfoliating Soap. The study uses a quantitative descriptive method with a case study approach. Data were obtained through observation of the production process, structured interviews with the owner and production team, and documentation of production costs, including raw materials, direct labor, and overhead costs. The results show that the total production cost is IDR 1,628,561 with a production volume of 120 units per month, resulting in a COGS of IDR 13,571 per unit. Based on these results, the selling price of IDR 20,000 is considered economically adequate, able to cover all production costs, and provide a competitive profit margin. The originality of this study lies in the integration of full costing-based COGS calculations with the evaluation of selling price feasibility as a basis for pricing decisions in personal care MSMEs. Theoretically, this study contributes to strengthening the relevance of the cost-based pricing approach in small-scale MSMEs and confirms the role of full costing as a normative basis for rational and sustainable pricing

Electric vehicles and smart traffic systems as urban emission solutions: an analysis of jakarta within the SDG framework Ichsan Azis Dachi; Rismen Sinambela
Jurnal Mantik Vol. 9 No. 4 (2026): 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.v9i4.6932

Jakarta, as one of the largest metropolitan cities, faces significant environmental pressures due to urbanization and high vehicle volumes. This paper examines technological innovations in sustainable transportation in Jakarta, aiming to fundamentally reduce carbon emissions and improve energy efficiency. Technologies such as electric vehicles (EVs), alternative fuels, and intelligent traffic management systems (ITS) offer potential solutions to address the city's chronic air pollution and congestion issues. However, the implementation of these technologies faces significant challenges such as limited charging infrastructure, high initial implementation costs, and the complexity of integrating with existing public transportation systems. An in-depth analysis was conducted to compare the existing situation with the targets of Sustainable Development Goals (SDGs) 7 (Clean Energy) and 11 (Sustainable Cities), identifying significant gaps in achieving these targets, particularly in the use of renewable energy and improving air quality. The study concludes that while these technologies offer a promising pathway, successful adoption relies heavily on strong policy commitments, strategic investments, and collaboration among transportation institutions to achieve truly sustainable urban mobility

Classification of regional language diversity in the maluku region using decision trees Ghyovanno Godlif Tomhisa; Wilma Latuny; Yoakhina Nicole Makaruku; Jermias Victor Manuhutu; Hendri Hawurubun
Jurnal Mantik Vol. 9 No. 4 (2026): 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.v9i4.6935

Regional languages are an important part of cultural heritage that reflect the identity, values, and character of a community. In Maluku Province, there is a high degree of linguistic diversity because the region consists of many islands with different community characteristics. However, the passage of time, modernization, and population mobility have led to a decline in the number of speakers in some areas, threatening the extinction of a number of regional languages. This study aims to classify and visualize the diversity of regional languages in Maluku Province using the Decision Tree algorithm. This method was chosen because it is capable of recognizing patterns and relationships between variables, such as region, number of speakers, and language vitality. The research data was obtained from the compilation of the Language Agency and field observations, then processed using Python with the help of the pandas, scikit-learn, matplotlib, and Streamlit libraries to produce an interactive analytical dashboard. The results showed that regional languages on Seram Island, such as Tana, Alune, and Wemale, had higher vitality levels than languages in other regions. The Decision Tree model built was able to classify language status with an accuracy rate of 92%. The resulting visualization provided a clear picture of the actual condition of regional languages in Maluku and could be used as a basis for regional language preservation and development efforts by local governments.

Analysis of hotel visits in Ambon city using the naive bayes algorithm Henderina Doren; Jermias Victor Manuhutu; Yoakhina Nicole Makaruku; Wilma Latuny; Apritiwi Maimina
Jurnal Mantik Vol. 9 No. 4 (2026): 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.v9i4.6936

The rapid growth of tourism in Ambon City has increased competition among accommodations, necessitating data-driven performance evaluations. Prospective tourists often struggle with unstructured online reviews, while hotel management requires precise insights for improvement. This study aims to systematically classify hotel performance in Ambon City using the Naïve Bayes Algorithm based on reviews from platforms like Agoda and TripAdvisor. Adopting a descriptive quantitative methodology, the study processes and labels performance data as "Good," "Poor," or "Very Good." Findings demonstrate that the Naïve Bayes model is highly effective, achieving 91% accuracy. Evaluation via a Confusion Matrix confirms the model's reliability in predicting majority categories, proving that ratings and reviews are strong satisfaction predictors. While the model faces minor challenges with the "Poor" minority category due to limited data, the study provides strategic value. It offers management guidance for targeted improvements and helps tourists make informed decisions, ultimately enhancing the competitiveness of Ambon’s hospitality industry

Analysis of Consumer Value Perceptions on Purchasing Decisions for Environmentally Friendly Skincare Products Djihadul Mubarok; Nashihatud Diniyah Jahro
Jurnal Mantik Vol. 9 No. 4 (2026): 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.v9i4.6946

The background of this research focuses on the influence of consumer value perception on purchasing decisions for environmentally friendly skincare products in Indonesia. Amid the growing environmental awareness, consumers are increasingly considering the ecological impact of the products they purchase. Therefore, it is crucial to understand how consumer perceptions of product value influence purchasing decisions. The purpose of this study is to analyze the impact of consumer value perception, which includes functional value, emotional value, price value, and social value, on purchasing decisions for environmentally friendly skincare products in Indonesia. The research employs a quantitative approach, with data collected through a questionnaire distributed to 150 respondents. The data were analyzed using multiple linear regression with SPSS software, along with validity, reliability, and classical assumption tests. The results indicate that functional value, emotional value, and price value significantly influence purchasing decisions, while social value does not have a significant effect. The coefficient of determination (R²) is 0.539, meaning that 53.9% of the variation in purchasing decisions can be explained by these four variables. In conclusion, marketing strategies for environmentally friendly skincare products in Indonesia should emphasize tangible benefits, emotional experiences, and competitive pricing, while social value does not play a significant role in purchasing decisions

Uncertainty and stability analysis of data-driven inversion using support vector regression I Wayan Pio Pratama
Jurnal Mantik Vol. 9 No. 4 (2026): 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.v9i4.6957

This study examines learning-based inversion through the lens of inverse problem theory, focusing on uncertainty propagation, conditioning, and identifiability rather than pointwise prediction accuracy alone. Inverse estimation is formulated as a stochastic mapping in which observational noise is explicitly propagated through learned inverse models. A controlled one-dimensional nonlinear inverse problem is constructed using synthetic forward operators to systematically isolate noise-induced instability and non-uniqueness effects. For an injective nonlinear forward mapping, Support Vector Regression (SVR) with a radial basis function kernel and linear regression are trained to approximate the inverse operator from noisy observations. Monte Carlo noise propagation is employed to estimate bias and variance of inverse predictions and to compare empirical uncertainty amplification with theoretical predictions derived from local inverse conditioning. While SVR significantly outperforms linear regression in terms of inverse accuracy, the results demonstrate that inverse uncertainty is primarily governed by the conditioning of the forward operator and is modulated by model regularization. The analysis is extended to a non-injective forward operator to investigate identifiability loss in learning-based inversion. In this setting, both models collapse inherently multi-valued inverse mappings into unimodal and overconfident estimates, revealing implicit solution selection driven by data distribution and regularization. These findings show that low prediction error can be misleading in non-identifiable inverse problems. Overall, this work highlights the limitations of deterministic learning-based inversion and underscores the need for uncertainty-aware and distribution-preserving approaches when addressing ill-conditioned or non-injective inverse problems.

The blockchain-based sharia accounting system: strengthening compliance of islamic rural banks in Indonesia Nano Suyatna
Jurnal Mantik Vol. 9 No. 4 (2026): 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.v9i4.6966

This research discusses the implementation of blockchain technology in Sharia accounting systems to strengthen compliance with Sharia principles, enhance transparency, and strengthen the resilience of institutions at Islamic Rural Banks (BPRS) in Indonesia. The increasing cases of bankruptcy in BPRS due to weak governance and fraudulent practices highlight the need for secure, transparent, and accountable financial infrastructure. Blockchain, with its characteristics of immutability and cryptographic verification, provides a mechanism for recording financial transactions permanently, transparently, and in compliance with Sharia principles, free from elements of riba, gharar, and maysir. This study uses a Hybrid Spiral-Agile approach integrated with the V-Validation model and the Sharia Compliance Loop to develop a blockchain-based accounting system that automates Sharia contracts such as Murabahah, Ijarah, and Mudharabah through smart contracts, enhancing auditability and maintaining data integrity. The research findings indicate that the application of blockchain can speed up the audit process, reduce human errors, and minimize the potential for fraud. Thus, blockchain functions not only as a financial technology innovation but also as a digital trust infrastructure that strengthens ethical governance, transparency, and sustainability in the Sharia finance ecosystem in Indonesia

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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,

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INDONESIA