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Dr. Zainul Hidayah, S.Pi., M.App.Sc.
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INDONESIA
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Madura
Published by Universitas Trunojoyo Madura
ISSN : 18297935     EISSN : 26547856     DOI : https://doi.org/10.21107/pamator
Core Subject : Economy, Humanities, Social,
Humanities Economics, Econometrics & Finance Social Sciences
PAMATOR JOURNAL is the Journal of Social Sciences, Economics and Humanities, published by the Institute for Research and Community Service Trunojoyo University, 2 times a year (April and October).
Arjuna Subject : Umum - Umum
Articles 5 Documents
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Search results for , issue "Vol 19, No 1: 2026" : 5 Documents clear
Analysis of Internal Conflict in the Novel Suraya by Nafi'ah Al Ma'rab Lesmana, Sindi; Roziah, Roziah
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 19, No 1: 2026
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v19i1.33577

Abstract

This study explores the internal conflicts experienced by the central characters in Nafi’ah Al-Ma'rab's novel, Suraya. By positioning the novel as a literary representation of human life and imagination, the research aims to analyze the protagonist's struggle with self-understanding, identity, and interpersonal relationships, specifically focusing on the psychological dynamics of coping with emotional pressure.  A qualitative approach with a descriptive-analytic method was employed. The study utilizes literary psychology as the primary lens, specifically applying Albertine Minderop’s theory on emotion classification to categorize and interpret the characters' internal struggles. The analysis reveals that the internal conflicts in Suraya are manifested through five distinct emotional dimensions: (1) profound guilt, (2) self-punishment as a coping mechanism, (3) paralyzing shame, (4) deep-seated sadness, and (5) the complexities of love. These emotions drive the narrative tension and dictate the characters' psychological evolution throughout the story. The study concludes that the internal conflicts in the novel serve as a critical vehicle for understanding human resilience. By mapping these emotional states, the research demonstrates how literary works provide profound insights into the universal human experience of navigating internal turmoil and emotional adversity.
The Effect of the Deep Learning-Based Problem-Based Learning (PBL) Model on the Critical Thinking Skills and Mathematical Disposition of Elementary School Students Putri, Novita Martika; Kristiantari, Maria Goreti Rini; Marisa, Riandi
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 19, No 1: 2026
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v19i1.33994

Abstract

This study aims to analyze the effect and effectiveness of the Deep Learning-based Problem-Based Learning (PBL) model on the critical thinking skills and mathematical dispositions of elementary school students. A quasi-experimental study with a non-equivalent control group design was employed. The population consisted of fifth-grade students in Gugus 3 Kuta, with a total sample of 168 students (84 in the experimental group and 84 in the control group) selected through purposive sampling. The experimental group was treated with the deep learning-based PBL model, while the control group followed conventional learning. Data were collected using a critical thinking skills essay test and a mathematical disposition questionnaire. Analysis included N-Gain tests, Mann-Whitney U tests, and correlation analysis using SPSS. The results indicated a significant difference in outcomes between the two groups. The experimental group achieved a significantly higher post-test average for critical thinking (83.85) compared to the control group (47.65). Statistical tests confirmed that the deep learning-based PBL model significantly improved both critical thinking skills and mathematical dispositions (Asymp. Sig. 0.001 0.05). Furthermore, the model was found to be effective in enhancing both variables simultaneously. The integration of deep learning strategies into the PBL framework—emphasizing conceptual understanding, reflection, and knowledge transfer—creates a more interactive and reflective learning environment. This synergy effectively addresses students' difficulties with contextual problems and fosters a more persistent, confident attitude toward mathematics. In conclusion, the deep learning-based PBL model is a potent alternative for developing 21st-century skills at the elementary level.
Bayesian Networks to Support National Policy Decision Making in Indonesia: A Literature Review Ikhlasi, Hurairah Haqi; Muhammad, Amry; Zulkarnain, Lutfi; Nurfaisal, Dwi Angga; Virinica, Viona
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 19, No 1: 2026
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v19i1.28755

Abstract

Bayesian Networks (BNs) offer a promising solution for addressing the complexities of public policy decision-making in Indonesia, characterized by uncertainty and diverse factors. As probabilistic graphical models, BNs provide a structured framework to integrate various aspects—social, economic, environmental, and cultural—into policy formulation. This research explores the potential and opportunities for implementing BNs as an effective decision-making tool for national policies through a systematic literature review. The findings highlight the adaptability of BNs in modeling complex systems, enabling policymakers to simulate scenarios, evaluate trade-offs, and design evidence-based strategies. Applications in Indonesia, such as aquaculture management in Lake Maninjau, demonstrate the capacity of BNs to balance ecological sustainability with socio-economic needs. Moreover, BNs address uncertainties in water resource management, poverty reduction, and environmental risk management, making them an essential tool for adaptive governance. By adopting BNs, Indonesia can enhance the inclusivity, precision, and resilience of public policies, ensuring better alignment with national development priorities. This research underscores the value of BNs in fostering holistic and effective decision-making frameworks, contributing to improved governance and sustainable outcomes in a dynamically evolving landscape.
Leverage, Scale, and Firm Age as Determinants of Corporate Financial Distress: A Cox Proportional Hazard Analysis of Cyclical Sector Firms on the Indonesia Stock Exchange Marta, Ahmadi; Zakiah, Amiratu
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 19, No 1: 2026
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v19i1.33713

Abstract

Financial distress prediction in emerging markets demands methodologies that address both the probability and the timing of corporate financial failure. This study applies the Cox Proportional Hazard (Cox PH) model to examine survival time until financial distress among 166 companies listed on the Indonesia Stock Exchange (BEI) across three cyclical sectors (Basic Materials, Non-Primary Consumer Goods, and Energy) over the 2016–2024 observation period. Financial distress is operationalised using a multidimensional definition requiring at least two of three conditions simultaneously: Interest Coverage Ratio below unity, negative Operating Cash Flow, and negative Retained Earnings. Kaplan-Meier estimates indicate a cumulative distress incidence of 54.2%, with overall survival declining to S(t=9) = 0.46 (95% CI: 0.39–0.54). The log-rank test finds no significant difference across sectors (chi-square = 1.76, p = 0.416). The Cox PH model achieves strong fit (LR chi-square = 89.18, p 0.001) and excellent discriminatory ability (C-index = 0.807). Three covariates are statistically significant: Debt-to-Asset Ratio (HR = 2.05, p 0.001), Firm Size (HR = 0.64, p 0.001), and Firm Age (HR = 0.94, p 0.001). All proportional hazard assumptions are confirmed through Grambsch-Therneau diagnostics. Findings are consistent with Trade-off Theory, Agency Theory, the too-big-to-fail hypothesis, and the Liability of Newness framework, and are robust across parametric alternatives. Time-invariant covariates at a single lag constitute the principal limitation. These results offer empirical grounding for leverage-based financial distress early warning in the Indonesian market context, though sector-level heterogeneity in the leverage–distress mechanism warrants consideration in practice.
Analysis of Potential Economic Sectors on Regional Original Revenue in Gresik Regency Amelia, Alifta Salwa; Wijaya, Riko Setya
Jurnal Pamator : Jurnal Ilmiah Universitas Trunojoyo Vol 19, No 1: 2026
Publisher : Universitas Trunodjoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/pamator.v19i1.34404

Abstract

This study aims to identify potential economic sectors and analyze their influence on Regional Original Revenue (PAD) in Gresik Regency. The data used are secondary data for the 2015–2024 period obtained from the Central Statistics Agency (BPS). The analytical methods employed include Location Quotient (LQ) to determine base sectors, Shift Share analysis (PR, PS, and DS) to analyze sectoral growth and competitiveness, and multiple linear regression to examine the influence of economic sectors on PAD. The results indicate that the base sectors in Gresik Regency include Mining and Quarrying, Manufacturing Industry, Electricity and Gas Supply, and Construction. The Shift Share analysis shows that all sectors have positive Proportional Shift (PS) values; however, several sectors have negative Differential Shift (DS) values, namely Mining and Quarrying (-153.97), Electricity and Gas Supply (-4.70), and Human Health and Social Work Activities (-0.11), indicating low competitiveness in those sectors. The regression analysis results show that simultaneously the independent variables significantly influence PAD with a probability value of 0.000936. Partially, the Mining and Quarrying sector, Manufacturing Industry sector, and Construction sector significantly affect PAD, while the Electricity and Gas Supply sector does not significantly affect PAD. The Adjusted R-squared value of 0.932250 indicates that 93.22% of the variation in PAD can be explained by the variables in the model, showing a strong relationship between economic sectors and PAD.

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