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All Journal Interdisciplinary Social Studies Interdisciplinary Journal of Advanced Research and Innovation
Jemi Jemi
Institut Teknologi PLN
Humanities Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Public Health Social Sciences

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Optimizing Renewable Energy Integration in the 3T Region: The Impact of Hybridization of PLTS-PLTD in Maratua on Emissions and Costs Jemi Jemi; Andreas Prabowo; Richard Gamari Sobajian Rajagukguk
Interdisciplinary Social Studies Vol. 5 No. 2 (2026): Interdisciplinary Social Studies
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/iss.v5i2.1052

Abstract

Maratua Island in East Kalimantan is exploring the adoption of hybrid Solar Photovoltaic (PV) systems to support Indonesia's goal of achieving Net Zero Emission (NZE) by 2060. The island has long depended on diesel power plants (PLTD), resulting in high carbon emissions and operational costs. This study assesses the technical and operational feasibility of integrating a 300 kWp PV system with the existing diesel generator. Simulations using HOMER Pro show that the hybrid system significantly improves efficiency. The diesel generator, which currently consumes around 500 liters of fuel daily for a peak load of 499 kW, will reduce fuel consumption by over 70%, dropping to about 150 liters per day. CO? emissions will also decrease from 1.446 tons/year to 0.425 tons/year. Additionally, the levelized cost of electricity (LCOE) decreases from IDR 5,500/kWh to IDR 3,200/kWh. These findings suggest that hybrid PV systems are a cost-effective and sustainable energy solution for remote island regions, reducing fossil fuel reliance and carbon emissions.
Optimization of Resource and Budget Allocation for Traffic Congestion Mitigation in West, East, and South Jakarta Using A Linear Programming Approach Jemi Jemi
Interdisciplinary Journal of Advanced Research and Innovation Vol. 4 No. 2 (2026): Interdisciplinary Journal of Advanced Research and Innovation (Issue in Progres
Publisher : Ravine Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58860/ijari.v4i2.104

Abstract

Traffic congestion in DKI Jakarta has reached a critical level, with an average congestion index of 59.8% in 2025, ranking Jakarta as the 24th most congested city in the world. The structural disparity between motor vehicle growth (9–12% per year) and road network growth (only 0.01% per year) is a major contributor to this problem, resulting in estimated economic losses of IDR 45–100 trillion annually. This study optimizes resource and budget allocation for traffic congestion mitigation across 15 major road segments in West, East, and South Jakarta using a Mixed-Integer Linear Programming (MILP) approach. The objective function minimizes total daily traffic delay through three types of interventions: road widening, U-turn closures, and the deployment of additional traffic control personnel, subject to a maximum budget constraint of IDR 5 trillion, physical constraints for each road segment, a maximum availability of 1,500 personnel, and integer constraints. The model is solved using the Simplex method in Microsoft Excel Solver. The optimization results indicate that the optimal combination of interventions requires a budget of IDR 1.045 trillion and achieves a delay reduction of 625.3 minutes, leaving 84.7 minutes of delay compared with the initial 710 minutes, while covering all 15 road segments. West Jakarta accounts for the largest proportion of physical road widening (50.9%), whereas East and South Jakarta rely more heavily on non-structural interventions with higher cost–benefit ratios. The sensitivity analysis identifies a budget saturation point of IDR 1.045 trillion, beyond which additional expenditure does not yield further improvements under the specified model constraints. This study recommends the dynamic application of the optimization model and the reallocation of the remaining budget to improve public transportation.
Co-Authors Andreas Prabowo Richard Gamari Sobajian Rajagukguk