Judul: Analysis of Factors Affecting People's Intention  to Buy Electric Cars in Jabodetabek
Abstrak: Penggunaan kendaraan bermotor di Indonesia selalu mengalami peningkatan dari tahun ke tahun. Ini menyebabkan pencemaran udara yang semakin tinggi. Penggunaan mobil listrik dinilai dapat mengurangi pencemaran udara. Namun, penggunaan mobil listrik di Indonesia masih mengalami hambatan. Penelitian ini bertujuan untuk menganalisis faktor yang menjadi pengaruh masyarakat untuk membeli mobil listrik di Jabodetabek melalui integrasi TAM dan TPB yang diperluas dengan menambahkan peubah Price Value, Perceived Risk, Environmental Awareness, dan Infrastructure Barrier. Responden pada penelitian ini sebanyak 200 responden. Teknik penarikan sampel dilakukan menggunakan non probability sampling dengan metode purposive sampling. Teknik analisis data yang digunakan adalah analisis deskriptif dan SEM PLS. Hasil dari penelitian ini menunjukkan perceived usefulness dan perceived ease of use memiliki pengaruh positif terhadap attitude. Peubah attitude, peceived behavioral control, dan price value memiliki pengaruh positif terhadap intention to buy electric car, sedangkan subjective norm, perceived risk, environmental awareness, dan infrastructure barier tidak berpengaruh signifikan terhadap intention to buy electric car., The use of motorized vehicles in Indonesia always increased from year to year. This caused higher air pollution. The use of electric cars was considered to reduce air pollution. However, the use of electric cars in Indonesia still experienced obstacles. This study aimed to analyze the factors that influenced people to buy electric cars in Jabodetabek through the integration of TAM and TPB, which were expanded by adding variables Price Value, Perceived Risk, Environmental Awareness, and Infrastructure Barrier. Respondents in this study were 200 respondents. The sampling technique was carried out using non-probability sampling with purposive sampling method. The data analysis technique used was descriptive analysis and SEM PLS. The results of this study indicated that perceived usefulness and perceived ease of use had a positive influence on attitude. The variables attitude, perceived behavioral control, and price value had a positive influence on the intention to buy electric cars, while subjective norm, perceived risk, environmental awareness, and infrastructure barriers had no significant effect on the intention to buy electric cars.
Keyword: electric car adoption, C-TAM-TPB, purchase intention, ground transportation, adopsi mobil listrik, niat pembelian, transportasi darat

Judul: The Potential Use of Electric-Based Private Vehicles as an Effort to Control Carbon Dioxide Emissions in Bogor City
Abstrak: Pemanasan global dan perubahan iklim yang dihadapi masyarakat dunia merupakan akibat dari meningkatnya konsentrasi Gas Rumah Kaca (GRK) di atmosfer. Salah satu penyumbang terbesar emisi GRK ialah sektor transportasi, khususnya di wilayah perkotaan yang memiliki aktivitas transportasi yang sangat tinggi. Upaya yang dapat dilakukan untuk menurunkan emisi GRK dari sektor ini diantaranya ialah dengan mengganti kendaraan berbahan bakar minyak dengan kendaraan listrik. Penelitian ini bertujuan menganalisis minat masyarakat menggunakan kendaraan listrik dan menghitung potensi penurunan emisi GRK dari penggunaan kendaraan listrik. Pengumpulan data tentang minat masyarakat dilakukan melalui wawancara dengan menggunakan kuesioner dan dianalisis dengan model regresi logistik. Perhitungan emisi GRK menggunakan metode (Intergovernmental Panel on Climate Change (IPCC) Tier 2. Hasil penelitian menunjukkan bahwa minat untuk beralih ke kendaraan listrik dipengaruhi secara nyata oleh usia dan besar dukungan pemerintah terhadap penggunaan kendaraan listrik. Minat yang tinggi untuk pindah ke kendaraan listrik adalah dari kelompok masyarakat berusia muda, dan ketersediaan infrastruktur pendukung seperti kemudahan akses tempat pengisian listrik dengan daya yang besar dan subsidi pemerintah yaitu keringanan pajak kendaraan. Saat ini rata-rata emisi karbon dioksida yang dihasilkan oleh kendaraan bermotor roda dua sebesar 12,40 kg/minggu, sementara mobil 38,87 kg/minggu. Potensi penurunan emisi dari penggunaan kendaraan listrik di Kota Bogor dapat mencapai 65%., Global warming and climate change faced by global community is caused by the increase of Greenhouse Gases (GHG) in the atmosphere. One of the most significant contributors to GHG emissions is the transportation sector, especially in urban areas with high transportation activities. One of the efforts to reduce GHG emissions from this sector is to replace oil-fueled vehicles with electric vehicles. This study aims to analyze public interest in using electric vehicles and to calculate the potential emission reduction from the use of electric vehicles. Data on public interest is collected through interviews using questionnaires and analyzed using logistic regression. The calculation of GHG emissions used the Intergovernmental Panel on Climate Change (IPCC) Tier 2 method. The results showed that the public interest to move to electric vehicles is significantly influenced by age and government supports. The high interest to move to electric vehicles is from young people, and availability of supporting infrastructure such as easy access to electric charging points with large power and government subsidies, namely vehicle tax breaks. At present, average carbon dioxide emissions produced by motor vehicles amounted to 12,40 kg/week, while cars were 38,87 kg/week. The potential emission reduction from the use of electric vehicles in Bogor City can reach 65%.
Keyword: transportasi, IPCC Tier 2, emisi kendaraan, regresi logistik, analisis skenario

Judul: Penyusunan Overlap Graph menggunakan Suffix Tree pada DNA Sequence
Abstrak: The DNA sequence assembly is very important in genome analysis. This step aims to reconstruct contigous DNA fragment (contigs) from short fragment by concatenating fragments based on the overlap region among them. This method employs overlap graph for solving the problems. In this graph, nodes represent fragments and edges represent overlap. This research developed a software for constructing overlap graph using suffix tree. The evaluation was conducted by measuring the number of nodes, number of edges, and the execution time in many values of minimum overlap. The minimum overlap is defined as the minimum length of substring which is considered as the overlap region between two fragments. The evaluation results showed that the number of nodes, the number of edges, and the execution time were increased with the decreasing of the minimum overlap value.
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