Muhammad Sulthan Madany
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Penerapan Regresi Linier Sederhana dalam Peramalan Nilai Ekspor dan Impor di Provinsi Jawa Tengah Muhammad Sulthan Madany; Aini Mawar Mardiyah; Lathifatul Aulia
EKONOMIKA45 :  Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan Vol. 10 No. 1 (2022): Desember : Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan
Publisher : Fakultas Ekonomi Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/ekonomika45.v10i1.3215

Abstract

Central Java Province, one of the economic centers in Indonesia, has significant and diverse export and import activities. Understanding the patterns and factors that influence the value of exports and imports is expected to provide deeper insight into the economic condition of the region, as well as support more targeted policies. The simple linear regression method identifies the relationship between one independent variable and one dependent variable. The dependent variables used are the amount of goods produced (estimated exports) and local consumption (estimated imports). This study aims to estimate the value of exports and imports in Central Java Province using the simple linear regression method. The secondary data used in this study are from the Central Statistics Agency (BPS) and other related agencies during the 2019-2021 period. The resulting simple linear regression model shows a good level of accuracy with a high coefficient of determination (R²), indicating the model is able to explain variations in the value of exports and imports based on the specified dependent variable. Through regression analysis, this study established a significant relationship between time and changes in export and import values. The resulting model provides a strong basis for predicting future export and import values, so that it can be used as a reference for policy makers in formulating effective trade strategies at the regional level.
An Improving Service Quality Using Servqual With 3 Fuzzy Numbers : A Study in ITESA Muhammadiyah Semarang Tarita Intan Soraya; Ratri Wulandari; Wellie Sulistijanti; Wulan Bhakti Pertiwi; Muhammad Sulthan Madany
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 2 (2025): Agustus: Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i2.6194

Abstract

Ensuring the delivery of high-quality public services within educational institutions is a critical factor for sustaining student satisfaction, institutional reputation, and overall organizational credibility. Service quality in higher education is often multidimensional and subjective, making its evaluation a challenging process. To address this complexity, the present study integrates the traditional Servqual model with fuzzy logic in order to handle the uncertainty and vagueness associated with human perceptions. The Servqual framework emphasizes five core dimensions of service quality, namely tangibles, reliability, responsiveness, assurance, and empathy, which together provide a comprehensive understanding of institutional service performance. The research was conducted at ITESA Muhammadiyah Semarang, where data collection was carried out through structured questionnaires designed to measure both student expectations and actual perceptions regarding institutional services. In order to capture the imprecise nature of these responses, three types of fuzzy numbers—triangular, trapezoidal, and shoulder fuzzy numbers—were applied to convert the linguistic assessments into measurable values. Subsequently, fuzzy gap analysis was performed to evaluate the discrepancy between expectations and perceptions across the five Servqual dimensions. The results of this analysis highlight that the integration of fuzzy logic into the Servqual model provides a more nuanced and flexible framework for assessing service quality compared to the conventional approach. It reduces the ambiguity in interpreting survey responses, thereby yielding more reliable insights into areas where service performance falls short of expectations. Furthermore, the study demonstrates that each dimension contributes differently to overall satisfaction, with responsiveness and assurance emerging as critical aspects requiring attention. In conclusion, the fuzzy-based Servqual model offers a robust methodological advancement in evaluating service quality within educational settings. The findings not only inform institutional leaders about current performance gaps but also provide actionable insights for continuous quality enhancement, policy formulation, and strategic decision-making to strengthen institutional competitiveness and credibility.