PENGGUNAAN DATA MINING DALAM EKSTENSIFIKASI PENELITIAN ULANG

ABSTRACT Due to increasing volume of international trade, effect on increasing customs document, Customs play a role so that trade flows run without obstacles, this causes inspection of imported goods to be less than optimal, but on the other hand Customs are required to collect state revenues optimally. This study tries to solve this problem from the post-clearance control side with re-examination by construct an analytical data model to predict the suitable classification. This study uses data on the Notification of Imported Goods during 2020 at the Regional Office of DJBC XXX which using a sample of goods that has similarities but has the potential to be misclassified. This study uses the Cross-industry Standard Process for Data Mining (CRISP-DM) model and the Rapid Miner Studio 9.9.2 application. Based on the model formed, the prediction results obtained according to the appropriate classification according to data mining. It also found the factors that most impact to goods classification, the most impact is the Importer status, whereas the least impact is the goods lane. ABSTRAK: Seiring dengan volume perdagangan internasional yang semakin tinggi, jumlah dokumen kepabeanan yang harus diperiksa juga mengalami peningkatan. Hal ini menghambat peran Bea dan Cukai sebagai fasilitator perdagangan yang menyebabkan pemeriksaan barang impor kurang optimal. Di sisi lain, Bea dan Cukai dituntut untuk menghimpun penerimaan negara secara optimum. Penelitian ini mencoba untuk menyelesaikan permasalahan tersebut pada tahap post clearance dengan penelitian ulang, yaitu dengan membangun model data analitik untuk memprediksi klasifikasi barang yang diberitahukan oleh importir sudah sesuai atau belum. Penelitian ini menggunakan data Pemberitahuan Impor Barang selama tahun 2020 pada Kanwil DJBC XXX yang sampel data barangnya memiliki kemiripan tetapi berpotensi salah klasifikasi. Penelitian ini menggunakan model Cross-industry Standard Process for Data Mining (CRISP-DM) dan aplikasi Rapid Miner Studio 9.9.2. Berdasarkan permodelan yang dibentuk, didapatkan hasil prediksi klasifikasi yang sesuai menurut data mining. Didapat pula faktor yang paling memengaruhi kebenaran pemberitahuan klasifikasi barang impor, yaitu status importir, sedangkan yang paling tidak berpengaruh adalah jalur pengeluaran barang impor. Kata Kunci: Penelitian Ulang, Data Analitik, Penerimaan Negara, Klasifikasi Barang

A study on carbon cap and trade effect to cost of electricity in accordance with the Merit Order of 300-400 MW coal power plants

Electricity is the basis of national development in a country. Power plants in Indonesia produces up to 283.8 TWh and are dominated by coal power plants which increase the amount of the greenhouse gases (GHG). In order to prevent more environmental problems, Indonesia ratified Paris Agreement by publishing the roadmap of Nationally Determined Contribution (NDC) that committed in reducing 29% of GHG emissions in 2030, which 11% of them are from the energy sector contributions. This research focuses on the implementation of the carbon cap and trade (CAT) between coal power plants having 300-400 MW capacity, which can affect their cost of electricity (Rp/kWh). It is well known that cap and trade (CAT) is a method used for reducing the mitigation cost of emission reduction in an effective way. From this research, it is found that the highest rise of incremental cost belongs to the 300 MW power plant in scenario 9 and the increase is from Rp.431.00/kWh to Rp.462.77/kWh, or approximately 7.37%. This research also shows that the most optimal carbon price is in the range of Rp. 130,165 to Rp.130,183 because the rank of the 330 MW and 400 MW power plant in merit order changes over in this condition. In the future, this research can be used as a comparison with the higher coal power plant capacity, so that an alternative way is obtained to determine the more optimal merit order.

The Legal and Trade Effect of the SAA between the Republic of Kosovo and the European Union

The Stabilization and Association Agreement with the Republic of Kosovo is a new chapter in the new institutional and social functioning because it has direct impact on the citizens’ life in our country. The effects of the agreement are not only in trading but those are multiple effects, since they do touch the political stability, the rule of law, democratic governance, economic development, trade exchange, regional economic cooperation, etc. and therefore the relevance of this agreement should not be seen from a single viewpoint, but rather from a wider perspective and we should dedicate more attention to the direct legal and trading issues. This agreement in the short term will create perspective and hope, in the middle term, it will create political stability, whereas in the long term, it will bring economic development, and genuinely trading exchange.

Trade Effect of the Free Trade Zone

Facing to the increasingly complex international environment and the new normal of China's economic growth, the pilot of free trade zone is an important measure for China to further deepen reform and opening up. Promoting trade liberalization is an important part of the construction of the free trade zone. Based on the city panel data from 2004 to 2018, this paper analyzes the trade effects of 11 free trade zones established in 2017 and before by using the method of period by period did. Also the trade effect of each free trade zone is analyzed separately by the method of synthetic control.The results show that, firstly, the free trade zone has obvious trade promotion effect on total trade and export trade, but not on import trade. Second, the trade promotion effect of the pilot free trade zone is not significant in the eastern region, but there is an obvious trade promotion effect in the central and western regions. Thirdly, the analysis of each pilot free trade zone also shows some heterogeneity. Generally speaking, the trade effect of export is greater than that of import.Specifically speaking, the pilot free trade zone shows certain heterogeneity, which may be related to the local economic development level and econnmic scale.