Abstract
The role of oil and gas business in Indonesia has always influenced the source of revenue from the country and energy sources for the national economy. In the 1970 's to the 1990 's and mid-1990 's, it was characterized by the high dependence of the national economy on oil and gas revenues, triggering massive oil and gas-producing. Currently, Indonesia is the largest palm oil producer and exporter in the world. Palm oil is one of the roads to overcome the problem of petroleum in Indonesia. To commercialize plants is still constrained because the availability of low raw material costs very hard to get. The amalgamation of crude palm oil and crude palm sludge is one of the problems of raw materials for renewable energy production. This low-level oil has great potential as a raw material for biodiesel production. To get the maximum quality mixing required a computer method. The method used in this study is analysis study with the Association classification approach by testing Improved Apriori algorithm in mining palm oil dataset. In this research using Data Mining application so that can be used to display the information of quality improvement of palm oil acid with high quality as a biodiesel base where the information is seen from the value of support and Confidence between items. M-Apriori algorithm can not read the continous data, so it must be done transformation first, one of them using the help of discreetization technique. Crude palm oil acid type esteridication which is fatty acid levels > 60 and Abu bunches 51-100 g/mol then the quality of biodiesel with the result of rising methyl Ester increases by as much as 100% (confidence: 1). From data that is calculated manually, no relationship is found Association.
Highlights
Peran kegiatan usaha minyak dan gas bumi di Indonesia selalu memberi pengaruh terhadap Income negara dan terhadap perekonomian nusantara maupun sumber energi bagi perekonomian nasional
“A New classification based on Association algoritm,” Journal of information and knowledge managemen, vol 9, no. 1, pp. 55-64, 2010
Anguebes-Franseschi, “Optimization of biodiesel production from africa crude plam oil with high concentration of free fatty acids by a two-step transesterification process,” Open journal of ecology, p. 13, 2016. [13] Liu,et al, “improving an Association Rule Based Classifier,” dalam Proceedings of the 4th European Conference on Principles of Data Mining and Knowledge Discovery , Lyon, France, September 2000
Summary
Peran kegiatan usaha minyak dan gas bumi (migas) di Indonesia selalu memberi pengaruh terhadap Income negara dan terhadap perekonomian nusantara maupun sumber energi bagi perekonomian nasional. Minyak nabati merupakan salah satu jenis minyak mengandung asam lemak, sehingga mempunyai ruang yang besar untuk dikembangkan sebagai bahan baku bahan bakar minyak atau biodiesel dari minyak nabati. Penggabungan asam minyak sawit mentah dan lumpur sawit mentah adalah salah satu menagatasi masalah bahan baku untuk produksi energi terbarukan. Minyak tingkat rendah ini memiliki potensi besar sebagai bahan baku untuk produksi biodiesel. Saat ini penggabungan asam minyak sawit mentah dan lumpur sawit mentah telah terjadi penumpukan data sehingga menjadi gudang data di perusahaan – perusahaan besar di indonesia. Data Mining merupakan teknologi baru yang sangat berguna untuk menambang data dan dapat memberikan pengetahuan berharga atau penting dalam. Dalam penelitian ini penulis melakukan pendekatan Associative classification dengan mengimprov Apriori (M-Apriori) untuk meningkatkan kualitas asam minyak nabati sebagai bahan dasar biodiesel
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