Filter By Year

1945 2024


Reset

Found 27,008 documents
Search Information

 2682   2683   2684   2685   2686 
Analysis of The Application of Logistics Management and Logistics Information Systems in The Quality of Goods Distribution Services on Customer Satisfaction Akmal Jocelin Anwar
Siber Journal of Transportation and Logistics Vol. 2 No. 1 (2024): (SJTL) Siber Journal of Transportation and Logistics (April - June 2024)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v2i1.212

Abstract

The Influence of Logistics Management Implementation, Logistics Information Systems, and Quality of Goods Distribution Services on Customer Satisfaction is a scientific literature review article within the scope of the field of study. The purpose of this article is to develop hypotheses on the influence of independent variables on the dependent variable that will be used in subsequent research. The research objects are online media literature, Google Scholar, Semantic Scholar, Elsevier, Zotero, and other online journal media. The research method employs library research sourced from e-books and scientific journals. The analysis uses a qualitative descriptive approach. The results of this article show: 1) The Implementation of Logistics Management influences Customer Satisfaction; 2) Logistics Information Systems influence Customer Satisfaction; and 3) The Quality of Goods Distribution Services influences Customer Satisfaction.
The Role of Information Technology in the Development of an Integrated Land Multimodal Transportation System Kamilla Cahya Nirwana; Muhammad Tohir
Siber Journal of Transportation and Logistics Vol. 3 No. 2 (2025): (SJTL) Siber Journal of Transportation and Logistics (July - September 2025)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v3i2.496

Abstract

Transportation in Indonesia faces challenges of congestion, high costs, and uneven infrastructure. Information technology is essential for developing an integrated multimodal land transportation system to improve efficiency, transparency, and data management. A systematic literature review (2010-2025) shows that IoT, GPS, ITS, real-time tracking, EDI, Big Data, and AI improve operational performance. Case studies reveal the great potential of IT, despite infrastructure, human resources, and interoperability constraints. Regulations support digitization, but more coordination and investment is needed. Recommendations include infrastructure improvement, human resource development, standardization, and collaboration among stakeholders for an efficient and sustainable transportation system. Optimal implementation of information technology will be key to the success of national transportation transformation.
Implementation of Artificial Intelligence (AI) in Google Workspace-Based Warehouse Information System to Optimize Reverse Logistics Truck Scheduling Arzan Muharom; Maniah Maniah; Agus Purnomo
Siber Journal of Transportation and Logistics Vol. 4 No. 2 (2026): (SJTL) Siber Journal of Transportation and Logistics (July - September 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i2.1183

Abstract

While cloud-based warehouse management systems (WMS) have been widely investigated, their integration with Generative AI to trigger automated decisions in medical device reverse logistics remains underexplored. This study aims to develop and evaluate a low-code Google Workspace WMS integrated with Google Gemini API to optimize reverse flow screening and Full Truck Load (FTL) fleet scheduling at PT Roche Indonesia's TG (Teluk Naga) Transit Warehouse. Employing a descriptive qualitative case study, data was gathered through in-depth interviews with 3 key informants, observations, and system logs. Findings reveal that automated age-based screening (< 7 years) efficiently eliminates administrative delays for 'Destroy' status instruments. Establishing a 75% volumetric load capacity trigger—for both Colt Diesel Double (15 m3 / 4,000 kg) and Tronton Wingbox (48 m3 / 15,000 kg) fleets—proves operationally justified by providing a 25% void-space buffer and a 3-working-day 3PL pickup lead time. Generative AI integration successfully transforms WMS into a proactive decision-triggering mechanism, while user technology readiness acts as a crucial enabler. This research extends the IS Success Model and Technology Readiness Index while offering actionable insights to eliminate warehouse overcapacity risks.
Information Transparency and Firm Performance: The Mediating Role of Business Ethics in Organic Coconut Sugar Exporters Annette Anggraeny Sihombing; Erna Mulyati; Agus Purnomo
Siber Journal of Transportation and Logistics Vol. 4 No. 2 (2026): (SJTL) Siber Journal of Transportation and Logistics (July - September 2026)
Publisher : Siber Nusantara Research & Yayasan Sinergi Inovasi Bersama (SIBER)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/sjtl.v4i2.1214

Abstract

Organic coconut sugar exports depend on claims about origin and process that buyers cannot verify directly, so exporting firms are increasingly required to make their information verifiable. Previous studies have examined traceability systems and business ethics separately and have rarely tested how transparency reaches performance, which constitutes the research gap of this study. This study analyses the effect of information transparency on business ethics and firm performance and tests the mediating role of business ethics in organic coconut sugar exporting companies in Central Java and the Special Region of Yogyakarta. Questionnaires were completed by 100 respondents drawn purposively from 350 employees of two exporting companies and processed with partial least squares structural equation modelling. Information transparency has a positive and significant effect on business ethics and explains 74.5 percent of its variance, while its direct effect on firm performance is not significant. Business ethics affects firm performance significantly and fully mediates the relationship, and together the two constructs explain 63.1 percent of the variance in firm performance. The novelty of this study lies in positioning information transparency as an antecedent of corporate governance and in identifying ethical conduct as the mechanism that converts verifiable information into export performance.
Implementasi Building Information Modelling (BIM) dalam Optimasi Penjadwalan dan Perhitungan Volume pada Paket 1 Pelimpah Berpintu Bendungan Karangnongko Ahmad Zulfikri Nadlif; Evi Nur Cahya; Very Dermawan
Jurnal Mahasiswa Teknik Pengairan Vol. 1 No. 2 (2026): Jurnal Mahasiswa Teknik Pengairan (JMTP) In Press
Publisher : Departemen Teknik Pengairan, Fakultas Teknik, Universitas Brawijaya

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

Abstract

Proyek konstruksi sumber daya air memerlukan perencanaan yang akurat untuk mengendalikan waktu dan biaya. Penelitian ini menerapkan Building Information Modelling (BIM) untuk perhitungan volume pekerjaan, penyusunan RAB, dan optimasi jadwal Paket 1 pelimpah berpintu Bendungan Karangnongko menggunakan Critical Chain Project Management (CCPM). Data penelitian berupa Detail Engineering Design, Bar Bending Schedule, kurva S, data teknis, dan AHSP. Pemodelan BIM menggunakan Autodesk Civil 3D dan Revit 2026, sedangkan penjadwalan menggunakan Microsoft Project 2024 dan Navisworks Manage 2026. Hasil menunjukkan volume galian 2.780.447 m³ dan beton 126.214,82 m³ dengan selisih 1,08% dan 1,63%. CCPM menghasilkan durasi 1.072,69 hari dengan project buffer 11,81 hari. BIM dan CCPM mendukung peningkatan akurasi kuantitas serta pengendalian proyek.
Studi Penjadwalan dan Rencana Anggaran Biaya Berbasis Building Information Modelling pada Intake Kanan Bendungan Karangnongko Alif Surya Mahesa; Pitojo Tri Juwono; Evi Nur Cahya
Jurnal Mahasiswa Teknik Pengairan Vol. 1 No. 2 (2026): Jurnal Mahasiswa Teknik Pengairan (JMTP) In Press
Publisher : Departemen Teknik Pengairan, Fakultas Teknik, Universitas Brawijaya

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

Abstract

Pembangunan intake kanan Bendungan Karangnongko memiliki kompleksitas geometri, keterkaitan aktivitas, dan kebutuhan sumber daya yang memerlukan integrasi pengelolaan volume, waktu, serta biaya. Penelitian ini bertujuan menghitung volume pekerjaan beton K-300, menyusun penjadwalan berbasis Critical Chain Project Management (CCPM), membandingkan jadwal pemodelan dengan kontraktor, serta menentukan Rencana Anggaran Biaya (RAB). Pemodelan 3D dilakukan menggunakan Autodesk Revit 2026 untuk quantity take-off dan clash detection, kemudian diintegrasikan ke Autodesk Navisworks untuk simulasi BIM 4D. Hasil penelitian menunjukkan volume beton K-300 sebesar 18.290,01 m³, lebih rendah 3,7% dibanding volume Adendum II. Penjadwalan CCPM menghasilkan durasi proyek selama 586 hari termasuk project buffer 30 hari, atau 16 hari (2,66%) lebih singkat dari durasi awal 602 hari. Integrasi BIM dan CCPM menghasilkan RAB sebesar Rp122.215.221.838,97, dengan efisiensi biaya senilai Rp2.009.912.617,39 atau 1,62% dari anggaran awal.
Mitigating Healthcare Information Overload: a Trust-aware Multi-Criteria Collaborative Filtering Model Qusai Y Shambour; Mosleh M Abualhaj; Ahmad Abu-Shareha; Abdelrahman H Hussein; Qasem M Kharma
Journal of Applied Data Sciences Vol 5, No 3: SEPTEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i3.297

Abstract

The rapid growth of online health information resources has made it difficult for users, as well as providers of healthcare, to cope with large volumes of information that are becoming increasingly complex. Hence, there is an urgent demand for developing new advanced recommendation techniques in the healthcare domain to enhance decision-making processes. However, most current health recommendation systems, which recommend personalized healthcare services and items such as diagnoses, medications, and doctors based on users' health conditions and needs, are hindered by the data sparsity issue that compromises the reliability of their recommendations. In this paper, we intend to address this issue by proposing a Trust-aware Multi-Criteria Collaborative Filtering model for recommendation services in the healthcare domain. This model leverages multi-criteria ratings and integrates user-item trust relationships to improve the precision and coverage of recommendations, thus facilitating more informed healthcare choices that align closely with their individual needs. Our empirical analysis on two healthcare multicriteria rating datasets, including those with sparse data, shows the proposed model's superior performance over existing baseline methods. On the RateMDs dataset, our model improved the average MAE by 24% and RMSE by 19% compared to baseline methods. For the WebMD dataset, it enhanced the average MAE by 6% and RMSE by 2%. In sparse data scenarios, the model boosted the average MAE by 18% and Coverage by 6% compared to baseline approaches.
Developing the Readiness and Success Model of Information System Implementation in the Indonesian Equestrian Industry Ajang Sopandi; Nor Adnan Yahaya; Aang Subiyakto
Journal of Applied Data Sciences Vol 5, No 1: JANUARY 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i1.145

Abstract

This study reports on the incorporation of technology readiness models in information system (IS) success models in the context of assessing readiness factors and the success of information system integration in the equestrian sports industry in Indonesia. As found in several information systems studies, many IS models are developed by adopting, combining, and adapting previous models. Researchers developed this model based on input-process-output logic and processional and causal models of information system success models. The developed model is structured by involving 12 variables and 62 indicators. The path of influence between variables is described by 30 links. In the research implementation stage, the model is also broken down into more detailed assessment instruments. Although these model development studies may have limitations on the assumptions used and the researchers' understanding, they can make theoretical contributions, particularly in terms of proposed new models. In addition, transparency in model development, proposed models, and data collection instruments may also be a practical consideration for advanced research in the context of readiness and successful implementation of information systems in the equestrian sports industry in Indonesia
Structural Equation Modeling of Social Media Influences: How Visual Appeal and Product Information Shape Positive Word of Mouth Dedy Iswanto; Gancar Candra Premananto; Sudarnice Sudarnice; Suwandi S. Sangadji
Journal of Applied Data Sciences Vol 6, No 2: MAY 2025
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v6i2.584

Abstract

Social media has become an essential tool in contemporary marketing strategies, allowing brands to enhance consumer engagement and foster trust. This study examines the direct effects of visual appeal and product information on brand satisfaction and positive Word of Mouth (WOM) in the context of Samsung’s social media campaigns. The research aims to provide empirical insights into how specific content elements drive consumer satisfaction and WOM, which are critical factors in expanding a brand’s digital influence. Data were collected from 132 active social media users frequently exposed to Samsung’s advertisements. Structural Equation Modeling (SEM) using the Partial Least Squares (PLS) approach was employed to analyze the relationships between variables. The results indicate that visual appeal significantly impacts brand satisfaction (path coefficient = 0.419, T-statistic = 3.765, P-value = 0.000) and WOM (path coefficient = 0.221, T-statistic = 2.437, P-value = 0.015). Product information also shows a significant influence on brand satisfaction (path coefficient = 0.337, T-statistic = 3.126, P-value = 0.002) and WOM (path coefficient = 0.320, T-statistic = 3.795, P-value = 0.000). Additionally, brand satisfaction strongly contributes to positive WOM (path coefficient = 0.458, T-statistic = 7.191, P-value = 0.000). The findings emphasize the critical role of high-quality visual and informational content in fostering brand satisfaction and promoting WOM. The novelty of this research lies in its detailed examination of how visual appeal and product information independently influence consumer outcomes, offering actionable insights for marketers. This study contributes to the growing literature on digital marketing by providing evidence-based recommendations for optimizing social media strategies in highly competitive and digitally connected marketplaces.
The Role of Artificial Intelligence Technologies in Enhancing the Quality and Level of Disclosure of Accounting Information in Light of the Requirements of ISO 37001:2025 Nada Kaki Bira
Indonesian Journal of Law and Economics Review Vol. 21 No. 4 (2026): November
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijler.v21i4.1663

Abstract

General Background: Rapid technological advancements are continuously transforming the accounting and financial environment through enhanced data processing and analytical capabilities. Specific Background: As business operations grow increasingly complex, conventional control mechanisms often struggle to manage unusual transactions and mitigate operational risks effectively. Knowledge Gap: Limited research comprehensively examines how artificial intelligence technologies integrate with modern anti-bribery frameworks to improve financial reporting outcomes. Aims: This study examines the role of artificial intelligence technologies in improving accounting information quality and disclosure under the requirements of ISO 37001:2025. Results: Findings indicate significant positive correlations and direct effects between artificial intelligence technologies and both accounting information quality and disclosure, with ISO 37001:2025 requirements serving as a partial mediator for information quality and a full mediator for disclosure. Novelty: The integration of artificial intelligence analytics with the specific compliance and anti-bribery standards of ISO 37001:2025 within the banking sector provides a unique regulatory and technological synergy. Implications: Financial institutions can substantially strengthen their internal controls, transparency, and reporting reliability by systematically deploying intelligent applications alongside anti-bribery management systems. Key Findings Highlights Artificial intelligence technologies demonstrate statistically significant positive effects on both accounting information quality and financial disclosure standards. The requirements of ISO 37001:2025 act as a critical mediator, providing full mediation for accounting disclosure and partial mediation for information quality. Expanding intelligent applications into predictive analytics and continuous transaction monitoring significantly reinforces organizational control and transparency. Keywords Artificial Intelligence Technologies, Accounting Information Quality, Accounting Disclosure, ISO 37001:2025, Anti-Bribery

Page 2684 of 2701 | Total Record : 27008

 2682   2683   2684   2685   2686