Garuda - Garba Rujukan Digital

Analisis Yuridis Pemanfaatan Media Sosial sebagai Sarana Perjanjian Jual Beli dalam Hukum Perdata Indonesia Arini, Rani Eka; Bunyamin, Ilham Akbar; Solapar, Nuryati
Jurnal Hukum dan HAM Wara Sains Vol 4 No 03 (2025): Jurnal Hukum dan HAM Wara Sains
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jhhws.v4i03.2982

Penelitian ini mengkaji validitas hukum dan keberlakuan perjanjian jual beli yang dilakukan melalui platform media sosial dalam kerangka hukum perdata Indonesia. Seiring dengan semakin dominannya komunikasi digital dalam interaksi komersial, platform seperti Facebook, Instagram, dan WhatsApp telah menjadi pasar yang luas untuk transaksi informal. Menggunakan metode yuridis normatif, penelitian ini menganalisis sumber hukum primer—termasuk Kitab Undang-Undang Hukum Perdata (KUHPerdata), Undang-Undang Informasi dan Transaksi Elektronik (UU ITE), undang-undang perlindungan konsumen, dan yurisprudensi yang relevan—serta tafsiran doktrinal sekunder. Temuan menunjukkan bahwa transaksi berbasis media sosial dapat dianggap sebagai perjanjian yang mengikat secara hukum selama unsur-unsur esensial kontrak—persetujuan, kapasitas hukum, objek yang spesifik, dan sebab yang sah—terpenuhi. Pesan elektronik dan catatan digital dari media sosial diperbolehkan sebagai bukti hukum berdasarkan UU ITE, meskipun keandalan mereka bergantung pada dokumentasi yang tepat. Meskipun ada potensi pengakuan hukum, tantangan signifikan tetap ada terkait verifikasi identitas, kekuatan bukti, risiko penipuan, dan kurangnya pertanggungjawaban platform. Mekanisme perlindungan konsumen juga terbatas akibat sifat informal dan desentralisasi transaksi media sosial. Studi ini menyimpulkan bahwa meskipun perdagangan media sosial secara hukum sah, ia kekurangan jaminan yang memadai, sehingga memerlukan kerangka regulasi yang lebih jelas dan peningkatan literasi digital untuk memastikan keadilan, kepastian hukum, dan keamanan konsumen di pasar digital Indonesia.

Analisis Dampak Adopsi Embedded Finance dan Disiplin Keuangan terhadap Arus Kas UMKM Perdagangan di Jawa Tengah Amalia, Mekar Meilisa; Kaswoto, Junet; Bunyamin, Ilham Akbar
Jurnal Multidisiplin West Science Vol 5 No 04 (2026): Jurnal Multidisiplin West Science
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/jmws.v5i04.3332

Penelitian ini bertujuan untuk menganalisis dampak manajemen keuangan terintegrasi dan disiplin keuangan terhadap arus kas Usaha Mikro, Kecil, dan Menengah (UMKM) di sektor perdagangan di Jawa Tengah. Pendekatan penelitian kuantitatif digunakan dengan memanfaatkan data primer yang dikumpulkan dari 85 pelaku UMKM melalui kuesioner terstruktur yang diukur menggunakan skala Likert. Analisis data dilakukan menggunakan SPSS versi 25, meliputi statistik deskriptif, uji validitas dan reliabilitas, uji asumsi klasik, serta analisis regresi linier berganda. Hasil menunjukkan bahwa manajemen keuangan terintegrasi memiliki pengaruh positif dan signifikan terhadap arus kas, yang mengindikasikan bahwa perencanaan, pencatatan, dan pengendalian keuangan yang sistematis meningkatkan stabilitas keuangan. Disiplin keuangan juga memiliki pengaruh positif dan signifikan, yang menyoroti pentingnya perilaku keuangan yang konsisten dalam mengelola keuangan usaha. Secara bersamaan, kedua variabel tersebut secara signifikan mempengaruhi arus kas, dengan koefisien penentuan (R²) sebesar 0,487, artinya 48,7% variasi arus kas dijelaskan oleh kedua variabel independen tersebut. Temuan ini menyarankan bahwa integrasi sistem manajemen keuangan yang terstruktur dan perilaku keuangan yang disiplin sangat penting untuk meningkatkan keberlanjutan keuangan UMKM. Studi ini memberikan implikasi praktis bagi pelaku UMKM dan pembuat kebijakan untuk memperkuat kemampuan keuangan guna meningkatkan kinerja dan ketahanan bisnis.

The Impact of Data Engineering Maturity and Analytics Pipeline Automation on Operational Prediction Accuracy through Data Quality in Warehousing Logistics in Tangerang Wardhani, Diky; Bunyamin, Ilham Akbar; Andiani, Paramita
West Science Interdisciplinary Studies Vol. 4 No. 04 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i04.2787

This study aims to examine the effect of data engineering maturity levels and analytics workflow automation on operational prediction accuracy through the mediating role of data quality in warehouse logistics in Tangerang. A quantitative research approach was employed using data collected from 75 respondents involved in warehouse operations. The data were gathered through a structured questionnaire based on a Likert scale and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that data engineering maturity levels have a positive and significant effect on data quality, and analytics workflow automation also significantly influences data quality. Furthermore, data quality has the strongest positive effect on operational prediction accuracy. Direct effects show that data engineering maturity and analytics workflow automation also significantly influence prediction accuracy, although their effects are weaker compared to the indirect effects through data quality. Mediation analysis confirms that data quality partially mediates these relationships. These findings highlight that improving operational prediction accuracy in warehouse logistics is not solely dependent on advanced analytical tools but is strongly influenced by the quality of data generated through mature data engineering practices and automated analytics workflows. This study contributes to the literature by integrating technological capability and data quality perspectives and provides practical implications for logistics companies in enhancing data-driven decision-making and operational efficiency.

The Impact of Data Engineering Maturity and Analytics Pipeline Automation on Operational Prediction Accuracy through Data Quality in Warehousing Logistics in Tangerang Wardhani, Diky; Bunyamin, Ilham Akbar; Andiani, Paramita
West Science Interdisciplinary Studies Vol. 4 No. 04 (2026): West Science Interdisciplinary Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsis.v4i04.2787

This study aims to examine the effect of data engineering maturity levels and analytics workflow automation on operational prediction accuracy through the mediating role of data quality in warehouse logistics in Tangerang. A quantitative research approach was employed using data collected from 75 respondents involved in warehouse operations. The data were gathered through a structured questionnaire based on a Likert scale and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that data engineering maturity levels have a positive and significant effect on data quality, and analytics workflow automation also significantly influences data quality. Furthermore, data quality has the strongest positive effect on operational prediction accuracy. Direct effects show that data engineering maturity and analytics workflow automation also significantly influence prediction accuracy, although their effects are weaker compared to the indirect effects through data quality. Mediation analysis confirms that data quality partially mediates these relationships. These findings highlight that improving operational prediction accuracy in warehouse logistics is not solely dependent on advanced analytical tools but is strongly influenced by the quality of data generated through mature data engineering practices and automated analytics workflows. This study contributes to the literature by integrating technological capability and data quality perspectives and provides practical implications for logistics companies in enhancing data-driven decision-making and operational efficiency.

Bibliometric Review of Climate Change Adaptation Financing Regar, Erfendi; Bunyamin, Ilham Akbar; Arini, Rani Eka
West Science Social and Humanities Studies Vol. 4 No. 04 (2026): West Science Social and Humanities Studies
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsshs.v4i04.2847

The objective of the current study is to investigate the intellectual structure, evolution of themes, and research collaboration within the research area of climate change adaptation finance through bibliometric analysis. In this regard, data were gathered from the Scopus database and analyzed through VOSviewer in order to investigate co-authorship network structure, citation network structure, and keywords cocitation patterns. It was found that the conceptual development of the research area takes place in the context of core themes, such as climate change, adaptation, and finance; however, it also evolves beyond these themes into interdisciplinarity of topics, such as risk management, sustainability, governance, and environmental economics. The trend in the analysis of keywords demonstrates the evolution of research themes from the initial focus on economy and policy to the later focus on investment, adaptive management, and adaptation in specific sectors. Finally, the analysis of co-authorship and institutional affiliations demonstrates that the research area of climate change adaptation finance is concentrated within a limited number of clusters with contributions coming primarily from the United States and other institutions; however, the participation of developing countries in this research area is increasing.

The Effect of System Quality and Information Quality on User Satisfaction with Academic Information Systems Hildawati, Hildawati; Bunyamin, Ilham Akbar; Andiani, Paramita
West Science Information System and Technology Vol. 4 No. 01 (2026): West Science Information System and Technology
Publisher : Westscience Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58812/wsist.v4i01.2778

This study aims to examine the effect of system quality and information quality on user satisfaction with Academic Information Systems (AIS) in Indonesia. A quantitative approach was employed using survey data collected from 150 respondents who actively use AIS in higher education institutions. Data were gathered through a structured questionnaire measured using a Likert scale. The analysis was conducted using IBM SPSS Statistics version 25, including validity and reliability tests, classical assumption tests, and multiple linear regression analysis. The results indicate that both system quality and information quality have a positive and significant effect on user satisfaction, both partially and simultaneously. System quality contributes through aspects such as ease of use, reliability, and responsiveness, while information quality is reflected in accuracy, relevance, and timeliness. Furthermore, information quality was found to have a stronger influence compared to system quality. The coefficient of determination (R²) shows that 48.3% of user satisfaction can be explained by the two independent variables. These findings highlight the importance of improving both system performance and the quality of information provided to enhance user satisfaction. This study provides practical implications for universities and system developers in optimizing academic information systems to better meet user needs and expectations.

Title

Found 36 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 36 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 36 Documents
Search