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P.M. Sejatiguna

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10 records found

Siting and Financing Agro-Processing Along the Trans-Sumatra Toll Road

Journal article (2026) - Gunawan Saroji, Mohammed Ali Berawi, Hilman Wardhana, Mustika Sari, Siti Rahma Utami, Perdana Miraj
This research establishes a corridor-focused screening framework aimed at prioritizing agro-processing siting and funding along the northern section of the Trans-Sumatra Toll Road (JTTS) in Aceh and North Sumatra. Sectoral specialization is initially determined through the Location Quotient (LQ) based on the Gross Regional Domestic Product (GRDP) structure at the district level, subsequently refined via development-readiness indicators and assessed against corridor accessibility using distance bands to toll gates. Capital requirements are evaluated and adjusted to 2022 prices by applying the time value of money to create an indicative investment envelope. The evaluation procedure underscores nine essential regions and four vital sectors—rice milling, integrated coconut processing, food production, and palm oil refining. The findings suggest that proximity to the corridor significantly influences feasibility: sites within reasonable access bands demonstrate clearer short-term viability, while locations exceeding 15 km from toll access are conditionally feasible and highly sensitive to feeder-road stipulations. The estimated early funding framework is roughly IDR 15.87 trillion, chiefly directed towards capital-intensive palm oil areas. This study's contribution lies in implementing a transparent and auditable stepwise prioritization logic that connects specialization, readiness, access, and capital intensity into a screening-level decision-support tool, while explicitly addressing access constraints, utilization risks, and environmental compliance factors. ...
Journal article (2026) - Gunawan, K. Handayani, M. A. Berawi, M. Sari, S. R. Utami, P. Miraj
Efficient time and cost control is critical in housing construction, particularly where workflow disruptions and non-value-added activities reduce project performance. This study examines the Green Royal Housing Project in Jakarta, Indonesia, to evaluate how Lean Construction can improve delivery through waste identification, activity classification, and workflow planning. Project documents, site observations, and interviews with five key stakeholders were used to classify 87 construction activities into value-added, essential non-value-added, and non-value-added categories. The analysis identified 21 non-value-added activities, mainly related to waiting, unnecessary processes, transportation inefficiencies, and inventory problems. Their elimination reduced the projected duration from 83 to 74 weeks. An LPS-informed planning framework was then used to support lookahead planning, constraint screening, and weekly work commitments. Because a four-week delay remained, a CPM-based crashing scenario was evaluated separately as a post-lean acceleration option, reducing the duration to 66 weeks. The findings clarify Lean Construction's role in improving housing project efficiency. ...
Journal article (2026) - Mustika Sari, Mohammed Ali Berawi, Muhammad Daffa Reyhando Imama, Gunawan Saroji, Perdana Miraj
Accurate forecasting of Estimate at Completion (EAC) is essential for monitoring large infrastructure projects, particularly when project conditions change during execution. Conventional Earned Value Management (EVM) formulas estimate future cost through fixed relationships between cost and schedule indicators, which may produce unstable predictions when project performance fluctuates across reporting periods. This study evaluates the use of machine learning (ML) models to support EAC forecasting using project monitoring data. Three prediction models were examined, namely Linear Regression as a baseline statistical model, as well as Neural Network and Deep Learning as nonlinear models that capture complex relationships among monitoring indicators. The models were trained using financial and progress variables derived from e-monitoring records, the performance of which was evaluated using Mean Absolute Percentage Error (MAPE) that represents deviation between model outputs and the reference forecast values used in the monitoring system. The results show differences in deviation across the models, where the Neural Network produced the lowest deviation with a MAPE of 2.26%, while Linear Regression and Deep Learning produced larger deviations. The trained model was then applied to an active road project in Nusantara, Indonesia’s new capital city, where it predicted an EAC of IDR 666 billion compared with the Budget at Completion of IDR 811 billion. These findings indicate that ML models reproduce forecast patterns embedded in monitoring data and generate responsive forecast signals that follow variations in monitoring indicators. ...
Conference paper (2026) - Mustika Sari, Ruben Sihombing, Mohammed Ali Berawi, Gunawan Saroji, Dharwati P. Sari, Perdana Miraj
Green building planning demands a high level of coordination among various disciplines to meet sustainability goals, yet current practices often fail to provide a structured and transparent collaborative process. Although collaborative planning is a foundational principle, the roles and interactions of planners throughout the stages remain poorly defined, which obstructs the realization of fully coordinated project development. Building Information Modeling (BIM), despite its potential to support teamwork across stakeholders, is still applied in siloed environments and limited to certain project entities. These conditions restrict information exchange and hinder transparency among stakeholders. On the other hand, blockchain technology offers a decentralized and tamper-resistant system for recording transactions, which can improve data transparency, traceability, and trust among project stakeholders. Therefore, this study aims to develop a green building planning workflow by integrating blockchain technology into BIM. The proposed approach enables the exchange of information among planners to be managed using a distributed ledger system based on Hyperledger Fabric. A qualitative method was used, involving literature study and prototyping to examine how planning workflows can be aligned with blockchain technology. The results indicate that the planning process can be modeled using blockchain, but the integration requires a custom application to enable communication between BIM and Hyperledger Fabric. This integration proposes a transparent and secure foundation for structured collaboration in green building planning. ...

Financial fragility of a property-led model of transit-oriented development in an emerging economy

Journal article (2025) - Herawati Zetha Rahman, Perdana Miraj, I. Nyoman Teguh Prasidha, Yofanny Amanda
Transit-Oriented Development (TOD) is increasingly adopted in emerging economies to manage urbanization, but the financial models underpinning these projects often face significant institutional and market risks. This study addresses a gap by using a financial model not merely as a predictive tool, but as a diagnostic lens to critique the implementation of Indonesian TOD policy. We argue that the dominant model being built is not an integrated transport system but a financially fragile, property-led real estate project. This paper conducts an in-depth, quantitative single-case study of the Poris Plawad TOD project in Greater Jakarta. A Discounted Cash Flow (DCF) model was developed to assess the project’s Net Present Value (NPV) and Internal Rate of Return (IRR) over a 25-year lifecycle. A comprehensive sensitivity analysis and stress-test scenarios were performed to evaluate the project’s viability against correlated, “front-loaded” risks. The analysis reveals that the project is marginally viable under its base case, with an IRR (10.30%) that only slightly exceeds the WACC (8.74%). The stress-test scenarios demonstrate that the project is not resilient. A realistic scenario combining a 3-year delay and a 20% CAPEX overrun causes the project to become unfeasible, with an IRR of 5.80%. The findings show this financial fragility is a direct result of its model of a real estate venture structurally disconnected from high-capacity rail transit. The paper recommends a combination of Land Value Capture (LVC), Viability Gap Funding (VGF), and tailored Rail + Property (R + P) models to create a more resilient financial foundation for TOD initiatives in emerging economies. ...
Journal article (2025) - Mustika Sari, Mohammed Ali Berawi, William Faustin Taswin, Gunawan Taswin, Cand Perdana Miraj
Hybrid construction methods that combine 3D concrete printing (3DCP) and modular precast techniques have the potential to improve precision, reduce material waste, and increase automation in building construction. Despite this potential, the lack of defined workflows and activity definitions presents a challenge for practical application. Therefore, this study develops a Work Breakdown Structure (WBS) and a construction process framework to support planning and execution in hybrid 3D-printed modular construction through a systematic review and direct observation in a digital fabrication laboratory. The review identified construction work items for 3DCP and precast modular methods and revealed four distinct sequencing patterns. Among them, one pattern that coordinates robotic-assisted 3DCP and precast concrete fabrication in parallel was identified as the most aligned with current industry practice. A five-level WBS was developed based on this pattern to organize activities across offsite and onsite phases. The WBS then informed the development of a construction process framework that outlines activity sequencing, dependencies, and automation integration points throughout the construction stages. The framework illustrates how automation can support conventional modular workflows, including robotic gantry lifting and real-time extrusion monitoring. The findings provide a foundation for future research and serve as a practical reference for coordinating fabrication and assembly activities. ...
Journal article (2025) - Mohammed A. Berawi, Samidjan Samidjan, Perdana Miraj, Andyka Kusuma, Mustika Sari
For the last few decades, the use of High-Speed Trains (HSTs) has been growing rapidly in various parts of the world. Despite rapid global expansion, many HST projects fail due to demand overestimation and cost overruns. This study analyzes factors influencing HST demand in Indonesia, aiming to identify impactful determinants from user perspectives. Employing a quantitative cross-sectional approach, this research utilized questionnaires distributed to users of different modes of transportation in the Jakarta–Bandung area, including trains, buses, travel services, and private cars. Structural Equation Modeling (SEM) via Lisrel software was used to analyze the data. The results indicate that Transit-Oriented Developments (TOD) and new urban areas significantly increase HST demand by facilitating urban growth and development. Additionally, supporting infrastructure and external factors such as road accessibility, parking availability, shuttle services, and environmental integration are pivotal in shaping commuter preferences. Although factors such as safety, comfort, and reliability are important, they alone may not be adequate to persuade consumers to use high-speed trains for their travel. ...

Optimizing financial feasibility through public-private partnerships

Journal article (2025) - Mustika Sari, Fitria Setyawati, Mohammed Ali Berawi, Perdana Miraj, undefined Yanuar
Logistics infrastructure is crucial in urban freight transport and regional economic growth. Airport-centric development has emerged as a potential solution for urban logistics by enabling faster freight movement and broader geographic coverage while integrating business, commercial, and industrial zones. However, this approach faces significant challenges, particularly in emerging economies like Indonesia, where limited public funding creates a substantial infrastructure financing gap. This study proposes a conceptual design for airport-centric logistics infrastructure to address this issue, using Radin Inten II International Airport in Lampung Province, Indonesia, as a case study. The research adopts a mixed exploratory-descriptive approach that integrates land use planning, transportation networks, and zoning regulations with financial engineering analysis through Life Cycle Cost (LCC) to evaluate spatial and financial feasibility. This study develops the Logistic Aerocity concept, which consists of five key zones: Airport Development, Integrated Logistics Hub, Industrial Park, Commercial Area, and Urban Open Space. The financial analysis confirms that a Public-Private Partnership (PPP) financing scheme enhances investment viability and attracts private-sector participation. The projected Internal Rate of Return (IRR) of 15.86% demonstrates the effectiveness of cost-sharing mechanisms between the public and private sectors in ensuring long-term financial sustainability. These insights provide a strategic foundation for policymakers and investors to enhance logistics infrastructure and strengthen urban connectivity through airport-centric development. ...
Conference paper (2024) - Mohamed Ali Berawi, Pradhana Listio Wicaksono, Gunawan Saroji, Mustika Sari, Perdana Miraj
Transit-Oriented Development (TOD) is expected to increase public use of mass transportation and reduce private vehicle usage. However, its development entails a high financial investment. This paper determines a financing scheme to boost private sector investment in TOD projects, considering the TODs in Indonesia’s Jabodebek Light Rail Transi (LRT) as the case study. Simulation of cost-sharing scenarios between public and private sectors was simulated to form the financing scheme, along with the benchmarking study to establish the institutional scheme. The findings reveal that an optimal Internal Rate of Return (IRR) of 14.92%, indicates that the project is financially viable. The optimal distribution of initial cost, operational and maintenance cost, and revenue incurred to the private sector are 39.86%, 66.02%, and 72.02%, respectively. The government is responsible for developing and operating the proposed institutional scheme's LRT and other supporting infrastructure, while the private sector handles the development and operation of TOD mixed-used properties. ...
Journal article (2024) - Mohammed Ali Berawi, Mustika Sari, Vanana Lumbantobing, Suci Indah Susilowati, Bambang Susantono, Roy Woodhead, Perdana Miraj Sejatiguna
Micro, Small, and Medium Business (MSMEs) are vital to the Indonesian economic development, and the government is focusing on this sector for post-pandemic recovery. There is an emphasis on infrastructure such as urban green spaces, or Ruang Terbuka Hijau (RTH). RTHs have untapped potential as centers for agricultural and processing MSMEs. However, these businesses often face financing challenges, prompting the exploration of alternative scheme like crowdfunding. Therefore, this study aimed to (1) explore how RTH lands can be leveraged for local economic activities, and (2) devise a public fund-based crowdfunding financing model. Using RTH Kalijodo in Jakarta as a case study, the study included literature reviews, benchmarking, fieldwork, and Life Cycle Cost (LCC) analysis. The results show the need for the development of vertical hydroponics, tilapia farming, and tilapia fillet processing business in RTH Kalijodo. Financial analyses, including IRR calculations exceeding the 10.41% WACC, a positive NPV, and a payback period under five years, show the financial viability of these sectors. ...