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All Journal Media Trend: Berkala Kajian Ekonomi dan Studi Pembangunan Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Majapahit Journal of Islamic Finance dan Management Jurnal Magister Ekonomi Syariah
Moh Sofwan Kastir Al Aziz
Universitas KH. Bahaudin Mudhary Madura, Sumenep, Indonesia
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

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Analisis Pengaruh Literasi Keuangan Syariah dan Keuangan Konvensional terhadap PDB di Masa Pandemic Covid-19 Al-Aziz, Moh Sofwan Katsir
Jurnal Magister Ekonomi Syariah Vol. 1 No. 1 Juni (2022): J-MES: Jurnal Magister Ekonomi Syariah
Publisher : Program Studi Magister Ekonomi Syariah, Fakultas Ekonomi dan Bisnis Islam, Universitas Islam Negeri Sunan Kalijaga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jmes.2022.011-03

Abstract

The aim is to find out how the influence of small business loans, operational costs, the Jakarta Islamic index, and covid 19 on economic growth. The methodology used in this research is descriptive quantitative analysis. The data used were obtained from OJK and BPS. The findings of the test results show that the business credit variable has a high level of significance and the data used is normally distributed. Practical implications in this research can be used as a form of government benchmark to maintain economic stability. Originality in this study was carried out using a multiple linear analysis model by looking at the influence between variables. The results of the tests carried out resulted in all variables having a significant effect.
PENGARUH PELATIHAN DAN MOTIVASI KERJA TERHADAP PRODUKTIVITAS KERJA KARYAWAN DI PT. GARAM KALIANGET SUMENEP Arifin, Fausi; Rahman, Hairul; Katsir Al Aziz, Moh Sofwan; Hidayat, Nurul
Jurnal Riset Manajemen Sekolah Tinggi Ilmu Ekonomi Widya Wiwaha Program Magister Manajemen Vol. 12 No. 2 (2025): Jurnal Riset Manajemen
Publisher : Program Magister Manajemen STIE Widya Wiwaha Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32477/jrm.v12i2.1231

Abstract

Employee productivity is a critical factor in determining a company’s success. Two key aspects that play a significant role in enhancing productivity are training and motivation. This study aims to analyze the influence of training and motivation on employee productivity at PT Garam Kalianget. The research employs a quantitative approach by collecting data through questionnaires distributed to employees. Data analysis is conducted using multiple linear regression to examine the relationship between training, motivation, and work productivity variables. The findings reveal that effective training has a positive and significant impact on work productivity. Similarly, high levels of motivation significantly enhance employee performance. The study concludes that companies must improve the quality of training and provide optimal motivational support to boost employee productivity.
Poverty Analysis in Indonesia Based on AI (Artificial Intelligence) with ARIMA Method Al Aziz, Moh. Sofwan Kastir; Rahman, Hairul; Hidayat, Nurul; Arifin, Fauzi; Ainorrofiqie, Ainorrofiqie
MediaTrend Vol 20, No 2 (2025): OKTOBER
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/mediatrend.v20i2.32521

Abstract

Poverty in Indonesia is a complex and multidimensional problem, because poverty levels can be an indicator of success for the country in terms of both its development and economy. This is an important point for the government to predict or predict poverty so that it can provide a more appropriate alternative. Based on this problem, a method is needed, namely using the forecasting method (Forcasting). In this study, researchers used a model from Box Jenkins, namely the Auto Regressive Moving Average (ARIMA) to predict the future level of poverty in Indonesia. AI (Artificial Intelligence) is not widely used in terms of economy, especially on poverty issues, but AI is one of the alternatives for countries to overcome poverty. Quantitative research in this study uses the ARIMA (Auto Regressive Moving Average) analysis. The poverty dataset used is sourced from the Central Bureau of Statistics (BPS) with test data from 2010 to 2023 to 2029. AI can provide alternative recommendations to deal with poverty in the future and in addition to looking at the forecast (Forcasitng) of poverty levels for the next 5 years. Conclusion: The government can make AI one of the tools to find solutions in the form of alternatives to solve poverty problems. Thus, through AI, it can be considered by the government in providing policies for poverty problems
Exploration Utilization of Chatbots Based Artificial Intelligence in Digital Marketing for Snack SMEs Traditional Typical of Sumenep – Madura Fausi Arifin; Nurul Hidayat; Hairul Rahman; Moh Sofwan Kastir Al Aziz; Khairil Anwar; Buhairi
Majapahit Journal of Islamic Finance and Management Vol. 6 No. 2 (2026): Islamic Finance and Management
Publisher : Universitas KH. Abdul Chalim Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/mjifm.v6i2.918

Abstract

Study This explore utilization chatbot based Artificial Intelligence (AI) in digital marketing in snack SMEs typical Sumenep Madura which has start adopt technology the However Not yet optimize its use . Through approach qualitative with technique interviews , observations , and documentation , as well as data analysis using NVivo 15 , research This find that chatbot utilized For respond consumer through social media and e-commerce platforms , but its function Still limited to services basis . MSME actors feel a number of benefit like efficiency time , increase speed response , and convenience service customers , but faced with obstacles in the form of low digital literacy , limitations device , instability network , as well as various problem technical aspects of chatbots . In addition , concerns related costs , needs adaptation technology and resistance to change participate influence optimization utilization Chatbot . Consumers and employees hope chatbot features capable give recommendation more personal and interactive products , while MSMEs require integration more systems​ flexible and appropriate with context local . With thus , chatbot based AI own potential significant For strengthening the digital marketing strategy of snack MSMEs typical Sumenep Madura, however required improvement digital literacy , support more technology​ adaptive , as well as development aligned features​ with characteristics business small in area the .
THE OPTIMIZATION STRATEGY OF FISHERY WASTE IN SUMENEP REGENCY AS A VALUE-ADDED PRODUCT BASED ON THE CIRCULAR ECONOMY Alvin Arifin; Moh. Sofwan Kastir Al Aziz; Liahmad Liahmad; Novi Wahyuningtias; Naila Tsawaba
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 9 No 3 (2025): Edisi September - Desember 2025
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v9i3.6467

Abstract

The fisheries sector in Sumenep Regency plays a vital role in food security and the local economy, but generates substantial waste, including fish heads, bones, viscera, and skins. Most of these residues are discarded into the sea or landfills, creating environmental burdens and economic losses. This study aims to formulate a strategy for optimizing fishery waste based on circular economy principles using a sequential explanatory mixed-methods approach. The quantitative phase employed multiple linear regression to examine the effects of business duration, technology, and average catch on waste utilization. Results indicate that technology significantly influences utilization (p < 0.01), whereas business duration and catch volume are not significant. The qualitative phase, involving in-depth interviews and focus group discussions, reinforced these findings by revealing that limited access to simple processing technologies, weak market linkages, and inadequate regulations remain the main obstacles. Nevertheless, respondents recognized the potential of fish waste to be converted into organic fertilizer, animal feed, fish oil, and collagen. This study concludes that appropriate technology, market access, and regulatory as well as multi-stakeholder collaboration are crucial for implementing a circular economy model in Sumenep’s fisheries sector. The practical implication suggests strengthening community capacity and policy support to advance sustainable fishery waste valorization.
Co-Authors Ainorrofiqie, Ainorrofiqie Alvin Arifin Arifin, Fausi Buhairi, Buhairi Hairul Rahman Khairil Anwar Liahmad Liahmad Naila Tsawaba Novi Wahyuningtias Nurul Hidayat Nurul Hidayat