Article Per Year (5 Year)
p-Index From 2021 - 2026
4.383
P-Index
This Author published in this journals
All Journal Jurnal Reviu Akuntansi dan Keuangan Jurnal Ekonomi JAS (Journal of ASEAN Studies) Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Ikonomika : Jurnal Ekonomi dan Bisnis Islam Mandala: Jurnal Ilmu Hubungan Internasional Etika Demokrasi International Journal of Social Science and Business Jurnal Manajemen Strategi dan Aplikasi Bisnis Journal of Humanities and Social Studies Maker: Jurnal Manajemen Dinasti International Journal of Education Management and Social Science Jurnal Ilmiah Akuntansi Kesatuan Journal of Social Science Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Quantitative Economics and Management Studies Journal of Terrorism Studies Jurnal Manajemen dan Kewirausahaan Journal of the Community Development in Asia Journal of Social Science Proceeding of International Conference on Science, Education, and Technology Enrichment: Journal of Multidisciplinary Research and Development Jurnal Kajian Stratejik Ketahanan Nasional Journal of Law and Legal Reform Jurnal Ad'ministrare: Jurnal Pemikirian Ilmiah dan Pendidikan Administrasi Perkantoran International Law Discourse in Southeast Asia Paramita: Historical Studies Journal
Subroto, Athor
Universitas Indonesia
Religion Arts Humanities Chemistry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Environmental Science Health Professions Immunology & microbiology Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

Published : 30 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 30 Documents
Search

 1   2   3 
Nickel Downstreaming in Indonesia: Reinventing Sustainable Industrial Policy and Developmental State in Building the EV Industry in ASEAN Lahadalia, Bahlil; Wijaya, Chandra; Dartanto, Teguh; Subroto, Athor
JAS (Journal of ASEAN Studies) Vol. 12 No. 1 (2024): Journal of ASEAN Studies
Publisher : Centre for Business and Diplomatic Studies (CBDS) Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/jas.v12i1.11128

Abstract

The developmental state concept, which entails proactive government support for economic structural transformation, remains contentious today. Some scholars vigorously argue that government intervention in the economy was indispensable to the success of East Asian countries, whereas others are critical of the practice, arguing that it tends to neglect sustainability dimensions and contending that government intervention in the market is often unwarranted. In this study, the authors analyse how Indonesia’s nickel ‘downstreaming’ strategy represents a new developmental state model that considers the aforementioned discourse on the merit of industrial policy. The new model aligns the classical developmental state concept with the need to address pressing environmental and social concerns, which are widely recognized as being of paramount importance. Through an integrative literature review and secondary data analysis, the study reveals that Indonesia’s downstreaming strategy does exemplify a new developmental state model, as the government does not aim just to stimulate economic growth but also to contribute to the energy transition with EV battery manufacturing and to invigorate social inclusion by ameliorating inequality particularly in Eastern Indonesia. Nevertheless, the application of the new developmental state model through the downstreaming strategy uncovers some areas where improvement is necessary. The policy needs to be continuously refined so that its negative environmental and social externalities can be mitigated, and it can serve as a better example of a new developmental state model.
Jakarta Smart City Governace: Policy, Actors and Financing Widodo, Wiwit; Somantri, Gumilar Rusliwa; Subroto, Athor
JHSS (JOURNAL OF HUMANITIES AND SOCIAL STUDIES) Vol 8, No 3 (2024): JHSS (Journal of Humanities and Social Studies)
Publisher : UNIVERSITAS PAKUAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33751/jhss.v8i3..10653

Abstract

This study aims to investigate how Jakarta Smart City is managed from a policy, actor and funding perspective. Jakarta, which is currently not the nation's capital, is trying to transform into a business center and global city through the Jakarta Smart City strengthening initiative to realize a smart city 4.0 ecosystem that accommodates synergy between residents and the city government. Jakarta Smart City governance is the key to achieving the ideals of smart city development that contributes to improving the quality of life of its residents. This study is an inductive study using an exploratory descriptive approach. Data collection methods are carried out by literature reflection, analysis of planning and regulatory documents, and in-depth interviews with city officials, practitioners, and academics. The findings show that the development of smart cities in Indonesia cannot be separated from two levels of policy, namely the central government policy level that supports the national smart city program including digital transformation, especially in terms of providing digital infrastructure, and the city government policy level which turns out to be more complex in managing the smart city ecosystem both within the city government and also towards public services. The relationship between actors in the smart city ecosystem is important in shaping the digital space of Jakarta Smart City. In terms of findings, the findings show the need to develop innovative schemes in financing the initiation of smart city projects.
Socio-Cultural Dimensions in the Development of Indonesian Maritime Strength: Strengthening Maritime Identity and Resilience Archipelago Society Saputra, Rizki Marman; Somantri, Gumilar Rusliwa; Subroto, Athor; Marsetio, Marsetio
JED (Jurnal Etika Demokrasi) Vol 9, No 3 (2024): JED (Jurnal Etika Demokrasi)
Publisher : Universitas of Muhammadiyah Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26618/jed.v9i3.15467

Abstract

This study explores the integration of socio-cultural dimensions into Indonesia's maritime defense strategy, focusing on strengthening maritime identity and archipelagic community resilience. It aims to examine multifaceted aspects of maritime identity, identify traditional practices and resilience mechanisms, analyze preservation challenges, explore existing integration efforts, and develop a comprehensive socio-cultural framework for maritime defense. Employing a qualitative, exploratory approach with literature study as the primary data collection method, the research analyzes academic journals, books, and policy documents through thematic analysis and synthesis. Key findings reveal the multifaceted nature of Indonesia's maritime identity, encompassing historical, economic, social, and ecological dimensions. The study highlights the rich traditional ecological knowledge and resilience mechanisms of island communities, including sustainable resource management practices, adaptation strategies, and intergenerational knowledge transfer. Challenges such as urbanization, environmental degradation, cultural erosion, and socioeconomic inequality threaten the preservation of maritime identity and community resilience. The research also identifies existing initiatives successfully integrating socio-cultural elements into maritime strategies, such as community-based monitoring and participatory decision-making processes. The study concludes that Indonesia's maritime strength is intrinsically linked to its socio-cultural heritage and the resilience of its island communities. Integrating these elements into maritime defense strategies can enhance effectiveness, sustainability, and community engagement while preserving cultural identity. The proposed framework offers a holistic approach to maritime defense that harmonizes technological advancement with cultural preservation and community empowerment. This approach recognizes the symbiotic relationship between strategic planning, cultural heritage preservation, and sustainable development, paving the way for a more robust and culturally sensitive maritime defense strategy for Indonesia.
ANALYSIS OF LEAN SIGMA - DMAIC IMPLEMENTATION WITH ENVIROMENTAL CONSIDERATIONS IN OIL & GAS INDUSTRY (CASE STUDY: ONSHORE FIELD ABC TERMINAL FIELD – PT XYZ) Gugi Agusman Setiamitra; Athor Subroto
JURNAL MANAJEMEN MAKER STIE SULTAN AGUNG Vol 9, No 2 (2023): Volume 9 Nomor 2 Tahun 2023
Publisher : Sekolah Tinggi Ilmu Ekonomi Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37403/mjm.v9i2.571

Abstract

The oil and gas industry is facing increasing pressure from an operations and environmental compliance perspective. The adoption of Lean Sigma methodology has been shown to improve the operational performance of various industries, including the Oil and Gas industry. The objective of this research is to analyse the implementation of a sustainable improvement framework based on the Lean Sigma DMAIC (define-measure-analyse-improve-control) method, considering the environment in maintaining sustainable business in the oil and gas industry. The research action approach in a case study is used to illustrate the application of the proposed Lean Sigma - DMAIC framework to improve operational performance and the environment in the oil and gas industry. The case study illustrates the application of the Lean Sigma - DMAIC cycle to improve crude oil quality – Base sedimen & water (BS&W) product and optimize energy consumption in the processing of crude oil. After improving the quality of oil production that previously experienced deviations and making improvements and efficiencies in the processing plant, this oil processing plant can achieve operational cost savings of US$ 181,847.95 and environmental benefits in reducing CO2 emissions by 1,685.81 tons (CO2 eq) by reducing the gas consumption used to heat crude oil in the oil treating plant.
Construction Design Consultant Selection Using The Analytic Network Process Method Kusuma Ariftama; Athor Subroto
EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Vol 12 No 3 (2024): Juli
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/ekombis.v12i3.6159

Abstract

This research aims to analyze what criteria and subcriteria are important to use in assessing prospective Construction Design Consultant in the procurement process using the ANP method. This research departs from the problem that the Toll Road Planning Division, which is responsible for technical and financial planning for the Trans Sumatra Toll Road project, is not spared from vendor performance problems, where in recent years several Construction Design Consultant have not managed to complete their work with the right quality and time. The results showed that the priority criteria for selecting the best construction design consultant are Quality of Service (23.31%), Relationship with Job Owner (22.36%), Company Certification (20.87%), Quality of Personnel (20.55%), and Company Reputation (12.91%). The subcriteria that has the highest weight is the Personality of personnel (14.90%) and the lowest is the Availability of software (0.75%). The sensitivity analysis of alternative priority weights shows that there is no change in the priority order of alternatives if the subcriteria weights are changed by amounts ranging from -50% to +40%.
From Aimless Stray To Charting The Way: Financing Policy Reforms To Bolster Indonesia’s Downstreaming Strategy Lahadalia, Bahlil; Wijaya, Chandra; Subroto, Athor
Jurnal Reviu Akuntansi dan Keuangan Vol. 14 No. 3 (2024): Jurnal Reviu Akuntansi dan Keuangan
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jrak.v14i3.35906

Abstract

Purpose: A major impediment to the entry of domestic firms into these sectors is limited access to financing. This study seeks to analyze the constraints to financing access in Indonesia and to formulate policy recommendations to address them by employing an integrative literature review and comparative analysis of East Asian countries. Methodology/approach: This paper employs an integrative literature review and comparative analysis to explore potential policy solutions for mobilizing capital for Indonesia’s downstream industry. Findings: Findings indicate that Indonesia’s financial system, following substantial liberalization, now tends to favor projects with short-term returns over long-term downstream manufacturing projects that are critical for economic transformation. Practical implications:  Indonesia must direct its limited capital towards strategic downstream investments. The paper suggests three policy options: 1) providing direct preferential loans; 2) offering guarantees; and 3) injecting equity into targeted domestic firms. Originality/value:   The recommendations come with several caveats, including robust governance, specific conditionalities, and stringent evaluation to ensure that financial support targets the most competitive enterprises that can meet the government’s long-term development goals. This research found that while the government's proactive financing presents inherent risk, the greater peril lies in inaction, which could further consign Indonesia to the middle-income trap.
ANALYSIS OF LEAN SIGMA - DMAIC IMPLEMENTATION WITH ENVIROMENTAL CONSIDERATIONS IN OIL & GAS INDUSTRY (CASE STUDY: ONSHORE FIELD ABC TERMINAL FIELD – PT XYZ) Setiamitra, Gugi Agusman; Subroto, Athor
JURNAL MANAJEMEN MAKER STIE SULTAN AGUNG Vol 9 No 2 (2023): Volume 9 Nomor 2 Tahun 2023
Publisher : Sekolah Tinggi Ilmu Ekonomi Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37403/mjm.v9i2.571

Abstract

The oil and gas industry is facing increasing pressure from an operations and environmental compliance perspective. The adoption of Lean Sigma methodology has been shown to improve the operational performance of various industries, including the Oil and Gas industry. The objective of this research is to analyse the implementation of a sustainable improvement framework based on the Lean Sigma DMAIC (define-measure-analyse-improve-control) method, considering the environment in maintaining sustainable business in the oil and gas industry. The research action approach in a case study is used to illustrate the application of the proposed Lean Sigma - DMAIC framework to improve operational performance and the environment in the oil and gas industry. The case study illustrates the application of the Lean Sigma - DMAIC cycle to improve crude oil quality – Base sedimen & water (BS&W) product and optimize energy consumption in the processing of crude oil. After improving the quality of oil production that previously experienced deviations and making improvements and efficiencies in the processing plant, this oil processing plant can achieve operational cost savings of US$ 181,847.95 and environmental benefits in reducing CO2 emissions by 1,685.81 tons (CO2 eq) by reducing the gas consumption used to heat crude oil in the oil treating plant.
The Use of Advanced Technology (Artificial Intelligence & Machine Learning) To Prevent the Funding of Terrorism in Indonesia Wisesa, Rafi; Priyanto, Sapto; Syauqillah, Muhamad; Subroto, Athor
Enrichment: Journal of Multidisciplinary Research and Development Vol. 2 No. 9 (2024): Enrichment: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v2i9.231

Abstract

The financing of terrorism in Indonesia, has become increasingly complex due to the involvement of various domestic terrorist organizations. These groups obtain funds through diverse sources such as direct donations, membership fees, self-funding, and the misuse of non-profit organizations (NPOs). This study aims to explore and analyze the potential and challenges of utilizing advanced technologies, particularly Artificial Intelligence (AI) and Machine Learning (ML), in preventing terrorist financing in Indonesia. The research employs a qualitative descriptive approach, utilizing secondary data from FATF reports and related literature. The findings indicate that AI and ML can significantly enhance the detection and investigation of suspicious financial activities, provide real-time transaction monitoring, and facilitate inter-agency collaboration. However, challenges such as data limitations, regulatory complexity, high implementation costs, and data security and privacy issues must be addressed to fully leverage these technologies. This study provides recommendations for developing a supportive regulatory framework, enhancing inter-agency cooperation, and investing in better data infrastructure to effectively utilize AI and ML in combating terrorist financing.
The Analysis of Capacity Utilization Production as a Basis for Review Corporate Strategy According Islamic Economics Asyik, Noor; Subroto, Athor; Izni Shafie, Dalili
IKONOMIKA Vol 8, No 2 (2023)
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ijebi.v8i2.20011

Abstract

Capacity utilization is important in manufacturing strategies, especially in make-to-order manufacturing strategies. It is used to measure the best production achievements. The parameters for achieving the best production can be measured by reaching the break-even point, namely the point at which the costs are equal to income. In 2022 the capacity utilization production of PT XYZ which is a precast concrete industrial corporation in Indonesia is 73.40% and under the break-even point. Achieving utilization above the break-even point is a competitive advantage for the corporation. This research was conducted to examine the company's current strategy to provide suggestions for formulating corporate management strategies according to Islamic economics with the analysis of capacity utilization production. Meanwhile, the research sample was conducted and analyzed from 2015 to 2026. The method used in this research is quantitative descriptive research, analysis using different statistical tests to analyze capacity utilization, and qualitative descriptive analysis methods to observe corporate strategy. The analysis found that the capacity utilization level in 2016 and 2017 and the prognosis for 2023 exceeded the break-even point. However, from 2024 to 2026, the results of the capacity utilization level will be below the break-even point. So, it is necessary to consider strategy formulation to avoid losses. Some of the suggestions for formulating corporate strategies result are diversification of business unit strategies into the construction sector, corporate synergy, partnerships with strategic partners, and market penetration according to Islamic economics.
Customer Retention Strategy through Churn Prediction in Four-Wheeled Vehicle After-Sales Services Using Big Data Analytics Puspa Dewani, Bella; Subroto, Athor
Dinasti International Journal of Economics, Finance & Accounting Vol. 6 No. 3 (2025): Dinasti International Journal of Economics, Finance & Accounting (July-August 2
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijefa.v6i3.4753

Abstract

Customer churn prediction has become a critical aspect of business analytics, particularly in the automotive after-sales service industry. This study aims to develop an effective predictive model for identifying customers at risk of churn using big data analytics and machine learning techniques. The research focuses on four-wheeled vehicle after-sales services provided by Brand X, leveraging historical customer data over a seven-year period. Two machine learning algorithms Decision Tree and Random Forest were applied to classify churn behavior. Feature importance analysis was conducted to identify key variables influencing churn, including Warranty Status, Total Service Frequency, and Dissatisfaction Level. The models were evaluated using accuracy, sensitivity, specificity, confusion matrix, and feature importance metrics.. The findings suggest that integrating big data analytics with ensemble machine learning methods enhances churn prediction accuracy, enabling targeted customer retention strategies. This research contributes both academically and practically by providing a robust predictive framework for churn management in the automotive after-sales sector.
Co-Authors Abiwodo Achmad Sanusi Adrianus Revi Dwiguna Aris Marsudiyanto Ayub Dwi Pranata Junus Bahlil Lahadalia Bambang Permadi Soemantri Brodjonegoro Brodjonegoro, Bambang Permadi Soemantri Chandra Wijaya Chandra Wijaya Dita Ayu Lestari Ghafur, A. Hanief Saha Ghafur, Hanief Saha Gugi Agusman Setiamitra Gumilar Rusliwa Somantri Izni Shafie, Dalili Kusuma Ariftama Kusumawisanto, Rizki Aulia Lahadalia, Bahlil Laksmono, Bambang Shergi Lili Yulyadi Arnakim Marsetio Marsetio Marsetio Marsudiyanto, Aris Muhamad Faris Naufal Austen Muhamad Syauqillah Noor Asyik Nur Fatwa, Nur Nurdin Sobari Nurish, Amanah Prasetya, Adhitya Yuda Prijono Tjiptoherijanto Priyanto, Sapto Puspa Dewani, Bella Putri, Rayinda Sephira Ratih Anggun Puspita Rizki Aulia Kusumawisanto Rizki Marman Saputra Rusliwa Somantri, Gumilar Saputra, Rizki Marman Setiamitra, Gugi Agusman Suyuti Marzuki Teguh Dartanto Umanto Widodo, Wiwit Wisesa, Rafi Zainal Abidin