Article Per Year (5 Year)
p-Index From 2021 - 2026
2.076
P-Index
This Author published in this journals
All Journal Jurnal Manajemen dan Kewirausahaan (JMDK) JURNAL ECONOMINA Journal of Business Administration and Entrepreneurship Innovation Proceeding Seminar Nasional Riset Terapan Administrasi Bisnis dan Mice (SNRT)
Arizal Putra Pratama
Politeknik Negeri Jakarta
Decision Sciences, Operations Research & Management Economics, Econometrics & Finance

Published : 13 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 13 Documents
Search

 1   2 
Implementasi Ekonomi Sirkular di Indonesia: Skala Analisis, Pendorong, dan Hambatan Irfan Rusydi Triyanto; Arizal Putra Pratama; Sulthan Zaki; Iis Mariam; Wahyudi Utomo
Seminar Nasional Riset Terapan Vol. 15 No. 01 (2026): SNRT XV TAHUN 2026
Publisher : Administrasi Niaga Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/snrtbisnis.v15i01.6897

Abstract

The linear take-make-dispose economic model has proven inadequate in addressing twenty-first-century sustainability challenges, giving rise to circular economy (CE) as a strategic alternative. Indonesia, as the world's fourth-largest waste producer, faces urgency in this transition, reflected in the CE Roadmap 2025–2045 and the National Medium-Term Development Plan (RPJMN) 2025–2029. This article aims to map CE concepts, analyze their implementation across Indonesia's strategic sectors, and identify key drivers and barriers. The research employs a systematic literature review (SLR) of 12 selected sources from 500 initial documents retrieved via Scopus, Web of Science, and Google Scholar for the period 2018–2025. Findings reveal that CE research in Indonesia predominantly operates at the macro scale, with implementation concentrated in the food and beverage and textile sectors. Key drivers include organizational agility, business analytics capability, green human resource management, digital supply chain, stakeholder engagement, and women's participation. Conversely, main barriers encompass limited capital and technology access for SMEs, low CE literacy, inadequate integrated policy frameworks, and significant waste infrastructure gaps between Java and the outer islands. These findings are expected to contribute to evidence-based and inclusive CE policy formulation in Indonesia.
Peran Artificial Intelligence dalam Meningkatkan Kepuasan Pengguna E-Commerce: Pengaruh Pengalaman Penggunaan, Kemampuan Pemecahan Masalah, dan Ekspektasi Pengguna Imas Chandra Pratiwi; Arizal Putra Pratama; Luthfiah Khairunisa
Seminar Nasional Riset Terapan Vol. 15 No. 01 (2026): SNRT XV TAHUN 2026
Publisher : Administrasi Niaga Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/snrtbisnis.v15i01.7689

Abstract

The rapid adoption of Artificial Intelligence (AI) in e-commerce platforms has transformed user interactions through features such as chatbots, AI-powered product recommendations, and virtual search systems. This study aims to examine the effects of AI feature usage experience and AI problem-solving capability on e-commerce user satisfaction, with consumer expectations toward AI features serving as a mediating variable. A quantitative research approach was employed using a survey of e-commerce users who had experience using AI-powered features. The 143 data were collected analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The findings reveal that AI feature usage experience has a positive and significant effect on user satisfaction, whereas AI problem-solving capability does not directly influence user satisfaction. However, consumer expectations toward AI features significantly mediate the relationships between both AI feature usage experience and AI problem-solving capability with user satisfaction. Furthermore, the proposed model demonstrates strong predictive power, with an R² value of 0.826. These findings indicate that user satisfaction is influenced not only by the technical capability of AI features but also by positive user experiences and consumer expectations regarding AI performance. This study provides practical implications for e-commerce providers in designing AI features that enhance user experience while effectively managing consumer expectations.
Perbaikan Proses Monitoring Pengiriman Barang dengan Metode Fishbone dan Business Process Improvement Reza Maulana; Arizal Putra Pratama; Mawarta Onida Sinaga; Restu Jati Saputro; Nuria Puspitasari
Seminar Nasional Riset Terapan Vol. 15 No. 01 (2026): SNRT XV TAHUN 2026
Publisher : Administrasi Niaga Politeknik Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32722/snrtbisnis.v15i01.8039

Abstract

This study aims to identify problems and inefficiencies in the shipment monitoring process at PT X, design an improved business process, and develop a shipment monitoring system application aligned with the proposed process. The research used a qualitative case study approach, with data collected through structured interviews, direct observation, and documentation study. The analysis applied Business Process Improvement through the stages of organizing for improvement, understanding the process, and streamlining. The current and proposed processes were modeled using Business Process Model and Notation, while the root causes of inefficiency were analyzed using a fishbone diagram based on the 4M categories. The findings show that the existing monitoring process still relies on e-mail and Excel reports from forwarders, causing information delays, manual data recap, reactive SLA checking, and late detection of delivery problems. The proposed process directs monitoring toward a centralized system where forwarders update shipment status directly, SLA compliance is checked automatically, and supporting documents are stored in the same system. The application design includes a monitoring dashboard, shipment data input, status updates, status history, delay notification, monitoring reports, issue notes, and proof uploads. This design is expected to make shipment monitoring more centralized, documented, responsive, and easier to control.
Co-Authors Amri Amrulloh Anwar Mustofa Chandra, Yanita Ella Nilla Erlyn Rosalina Fachri Aditya Fairuz Su’da Oktavia Kusdarwanto Fauzi Mubarak Firdaus, Risya Zahrotul Hana Nurdina Haris Satria Putra Iis Mariam Imas Chandra Pratiwi Intan Putri Fadya Irfan Rusydi Triyanto Kurniasari, Ratri Luthfiah Khairunisa Mawar O Sinaga Mawarta Onida Sinaga Nidia Sofa Nining Latianingsih Noer Fhadya Dwi Aninda Nuria Puspitasari Putra Farhan A Halim Putra, Yoshua Ardy Ratri Kurniasar Restu Jati Saputro Reza Maulana Ridwan Roy Tutupoho Rifqi Nandi Hariansyah Riskon Ginting Riza Hadi Kusuma Setia Novaliana Sulthan Zaki Syai Khumayyah Taufik Akbar Titik Purwinarti Wahyudi Utomo Yoshua Ardy Putra Yulita Tri Haryani