AJIE (Asian Journal of Innovation and Entrepreneurship)

Analisis Keberlanjutan Sistem Pengelolaan Sampah Berbasis 3R (Studi Kasus MRF, TPST Kota Hijau, dan Bank Sampah Kota Hijau Balikpapan)

Khairunisa, I Made Wahyu Widyarsana Widyarsana — Sun, 28 Sep 2025 00:00:00 +0000

As a buffer zone for the new National Capital (IKN), Balikpapan City is experiencing rapid population growth accompanied by increasing waste generation. In 2023, the city produced 528.87 tons of waste per day, an increase of 2.74% from the previous year. Projections indicate that the Manggar Landfill will reach full capacity by 2026, rendering it unable to accommodate additional waste. To address this issue, in 2017 the Balikpapan City Government, in collaboration with the Ministry of Environment and Forestry (KLHK) and JICA, implemented a 3R-based waste management program through the integration of Material Recovery Facilities (MRF), Integrated Waste Processing Facilities (TPST), and the Waste Bank Program. This study aims to analyze the factors influencing the sustainability of the waste management system at the MRF, TPST Kota Hijau, and Kota Hijau Waste Bank, and to formulate appropriate development strategies. The research applies Multidimensional Scaling (MDS) with the RAPFISH approach combined with SWOT analysis. The results show that the Kota Hijau Waste Bank has the highest sustainability status, supported by financial independence and strong community participation, and is classified as fairly sustainable. The MRF is also considered fairly sustainable but remains highly dependent on the municipal budget. Meanwhile, the TPST Kota Hijau records the lowest sustainability level due to operational-technical challenges and limited community involvement. Overall, the three infrastructures fall within the fairly sustainable category. To advance their status to sustainable or highly sustainable, several strategic measures are required, including the optimization of local policies and regulations, program synchronization across stakeholders, strengthening institutional and human resource capacities, diversifying funding sources, enhancing community engagement, and improving technical-operational performance.

Analisis Variabel Penentu Keberlanjutan TPA Jalupang Kabupaten Karawang: Perspektif Masyarakat melalui Structural Equation Modeling (SEM)

Ninne Sevtiana Dewi, I Made Wahyu Widyarsana — Sun, 28 Sep 2025 00:00:00 +0000

Jalupang Landfill is the only official final disposal facility in Karawang Regency, which is still operated using an open dumping system. This management practice has created several environmental issues, including a fire incident in October 2023, and has raised concerns about the sustainability of its operations. This study was conducted to identify the variables that influence the sustainability of Jalupang Landfill by employing a reflective Structural Equation Modeling (SEM) approach. Primary data were collected through questionnaires distributed to 100 respondents across nine districts who are involved in waste transportation to the landfill. The questionnaire applied a Likert scale and was analyzed using SmartPLS 4.0 through a series of tests, including model fit, construct validity, and path coefficient analysis. The results indicated that the developed model met the fit criteria, with an R² value of 0.622 or 62.2%. The regulatory variable was found to be the most dominant factor, with a path coefficient of 0.400 (p-value = 0.002), followed by the financing variable with a coefficient of 0.286 (p-value = 0.041). These findings highlight that the sustainability of Jalupang Landfill is largely determined by strengthening regulatory aspects and ensuring adequate financial support.

Analisis Dispersi SO₂ dan NO₂ di Kawasan Budaya Kota Yogyakarta Menggunakan Model AERMOD

Fri, 01 Aug 2025 00:00:00 +0000

Yogyakarta City, as a cultural and tourism hub, experiences a high level of transportation activity, particularly in its historical and strategic areas. This results in an increase in emissions, such as sulfur dioxide (SO₂) and nitrogen dioxide (NO₂), which have a negative impact on public health and the environment. This study aims to analyze the spatial dispersion of SO₂ and NO₂ pollutants from transportation sector activities using the AERMOD model. The results of the emission inventory on 10 research roads indicate that the highest SO₂ emission load is found on Jalan KH Ahmad Dahlan, at 8,315.31 g/hour. In contrast, the highest NO₂ emission load is observed on Jalan Brigjen Katamso, at 704.50 g/hour. The type of diesel-fueled motorized vehicles, although relatively fewer in number, has a much greater contribution to SO₂ and NO₂ emissions than gasoline-fueled vehicles, especially motorcycles. The modeling results using AERMOD showed that the maximum concentrations of SO₂ and NO₂ reached 53.1 μg/m³ and 118 μg/m³, respectively, with the distribution pattern influenced by the dominant wind direction from the northwest and relatively low wind speed (0.5–2.1 m/s). The spatial pattern of the simulation results showed a decrease in concentration as the distance from the emission source to the sensitive receptors increased, such as the Malioboro and

Alun-Alun Kidul tourist areas. Validation of the model against actual monitoring data (Impinger instrument measurement results) yielded an average RMSPE value of 24% for the SO₂ parameter, which remained within the model validation tolerance limit. However, the RMSPE value for the NO₂ parameter reached 59%, indicating that the model's concentration estimate tended to overestimate the actual value.