Judul: Potential Reduction of Greenhouse Gases in Kawatuna Landfill Through Methane Gas Recovery Project
Abstrak: Pemerintah Kota Palu berencana menghidupkan kembali proyek pembangkit listrik tenaga biogas (PLTBg) di TPA Kawatuna yang sempat beroperasi pada tahun 2013. Informasi mengenai manfaat yang akan diperoleh dari sudut pandang ekonomi dan lingkungan adalah penting bagi pengambil keputusan. Salah satu manfaat lingkungan yaitu potensi reduksi emisi gas rumah kaca (GRK) oleh proyek PLTBg. Manfaat ekonomi penting untuk diestimasi sebagai daya tarik finansial dari proyek, di antaranya berasal dari nilai potensi energi listrik yang dihasilkan dan penerimaan proyek dari Certified Emission Reduction (CER). Tujuan penelitian ini adalah (1) mengestimasi potensi emisi GRK yang dihasilkan oleh TPA Kawatuna sebelum implementasi proyek pemulihan gas metana, (2) mengestimasi potensi reduksi GRK dari proyek tersebut, (3) menghitung potensi nilai CER yang dapat dihasilkan dari proyek tersebut. Penelitian ini menggunakan metode CDM AMS-III.G untuk mengestimasi potensi reduksi GRK dan menggunakan kuantitatif sederhana untuk mengestimasi nilai CER proyek. Hasil penelitian menunjukkan melalui Skenario BAU pada tahun 2021, potensi emisi GRK sebelum adanya proyek adalah 16,148,74 t CO2e dan potensi reduksi GRK setelah adanya proyek mencapai 61,40% dari total emisi yang dihasilkan. Potensi penerimaan CER proyek pada tahun 2021 berkisar antara Rp 28.595.318 hingga Rp 72.329.334 dan total present value penerimaan CER pada tahun 2021-2030 mencapai Rp 563.358.389., The Palu City Government plans to reactivate the biogas power plant (PLTBg) project in Kawatuna landfill, which was operated in 2013. Both economic and environmental benefits of the project are important for decision makers. The environmental benefit include the potential reduction of greenhouse gases (GHGs) emissions by the project. The economic benefits are important to estimate as the financial attractiveness of the project, which include the electricity generated and revenue from Certified Emission Reduction (CER). This study aims (1) to estimate the potential GHGs emissions produced by the Kawatuna landfill before PLTBg project, (2) to estimate the potential GHGs emissions reduction due to the project, (3) to calculate the potential CER that can be obtained from the project. This study employs Clean Development mechanism (CDM) AMS-III.G method to estimate the potential GHGs reduction and a simple quantitative analysis to calculate the potential CER of the project. The results show that based on the BAU Scenario in 2021, the estimated baseline GHGs emissions is 16.148,74 t CO2e, the potential GHGs reduction after the project would reach 61,40% of the total GHGs emissions generated and the range of potential CER would be from 28.595.318 IDR to 72.329.334 IDR. From 2021 to 2030, total present value of CER would reach 563.358.389 IDR.
Keyword: CDM, CER, GHG Emissions, Kawatuna, PLTBg

Judul: Technical and Financial Feasibility Analysis of Hydrothermal Technology for Urban Waste Treatment in Tangerang Regency
Abstrak: Peningkatan konsentrasi gas rumah kaca (GRK) di atmosfer telah menimbulkan efek pemanasan global. Salah satu kontributor emisi GRK adalah penumpukan sampah di TPA tanpa pengolahan lebih lanjut. TPA Jatiwaringin di Kabupaten Tangerang diprediksi akan mengalami overcapacity, sehingga diperlukan mitigasi untuk mengurangi sampah di TPA, salah satunya dengan teknologi hidrotermal. Namun penerapannya membutuhkan biaya yang tinggi. Penelitian ini bertujuan untuk mengestimasi potensi emisi GRK sebelum adanya proyek hidrotermal, mengestimasi potensi reduksi emisi GRK setelah adanya proyek hidrotermal, menganalisis kelayakan finansial dari proyek hidrotermal. Penelitian ini menggunakan metode Clean Development Mechanism (CDM) untuk mengestimasi potensi reduksi emisi GRK proyek hidrotermal dan analisis cashflow untuk mengevaluasi kelayakan finansialnya. Hasil penelitian ini menunjukkan emisi baseline pada tahun 2021 diestimasi sebesar 18.766 t CO2 e dan akan meningkat menjadi 21.865 t CO2 e (16,5%) pada tahun 2030. Emisi proyek diestimasi sebesar 5883 t CO2 e per tahun. Rata-rata persentase potensi reduksi emisi GRK dari proyek hidrotermal tahun 2021-2030 sebesar 70,94% (Skenario 2 putaran per hari) dan 68,26% (Skenario 3 putaran per hari). Proyek hidrotermal juga layak secara finansial, dengan syarat produk hidrotermal yaitu Refused Derived Fuel (RDF) dapat terjual setidaknya 72% dan jumlah iuran masyarakat yang terkumpul minimal 50% dari target penerimaan iuran., An increase in the atmospheric concentrations of greenhouse gases (GHGs) produces global warming effect. One of GHGs emissions contributors is waste accumulation of in the landfill. Jatiwaringin landfill in Tangerang Regency is predicted to reach overcapacity. Therefore, mitigation measures are required to reduce such waste. One of potential measures is hydrothermal treatment technology for urban scale, but its implementation is costly. This study aims to: estimate the potential GHGs emissions prior the hydrothermal project, estimate the potential GHGs emission reduction after the project, and analyze the financial feasibility of the project. This study employs Clean Development Mechanism (CDM) method to estimate the GHGs emissions reduction potential of hydrothermal projects and cashflow analysis to evaluate the project financial feasibility. The results show that baseline emissions in 2021 are estimated at 18,766 t CO2 e and would increase to 21,865 t CO2 e (16.5%) in 2030. The project emissions are estimated at 5883 t CO2 e per year. The GHGs emission reductions could reach 70.94% (2 batches per day) and 68.26% (3 batches per day) within 2021-2030. Furthermore, the hydrothermal project would be financially feasible, if the hydrothermal product i.e., Refused Derived Fuel (RDF) are sold at least 72% and the cumulative households- contribution is at least 50% of the target.
Keyword: GRK, sampah kota, sektor pengelolaan limbah, teknologi hidrotermal, GHGs, hydrothermal technology, urban waste, waste sector

Judul: Klasifikasi Sidik Jari Menggunakan Support Vector Machine Dengan Feature Berbasis Minutiae Menggunakan Metode Region
Abstrak: Manual fingerprint classification proceeds by carefully inspecting the geometric characteristics of major ridge curves in a fingerprint image. This research proposed an automatic approach of identifying the geometric characteristics of ridges based on minutiae position and angle. Position and angle of minutiae are analyzed using region method. Region was used to discretize the number of minutiae. Positions of minutiae in a region give information about its relation to another region. Angles of minutiae indicate the ridge flow direction. Support vector machine, a binary classifier, is used to classify the fingerprint based on those characteristics. In this research, the classes are left loop, right loop, whorl, arch and tented arch. This research used 2695 fingerprint images from NIST. Classification performance is measured using 3-fold cross validation method. This research achieved 79.7 % accuracy. As we only used local features in this research, further research needs to be conducted especially to investigate global features.
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