AbstrakBanyak bank di Indonesia baik pemerintah maupun swasta yang menawarkan keunggulan yang berbeda-beda kepada nasabah, sehingga masih banyak masyarakat umum yang bimbang dalam memutuskan tempat untuk menabung. Penelitian ini mengusulkan sebuah sistem pendukung keputusan untuk merekomendasikan bank konvensional sebagai solusi cerdas untuk menabung. Metode promethee menghasilkan keputusan dengan melakukan perbandingan antar alternatif berdasarkan fungsi preferensi dan bobot yang berbeda-beda dari setiap kriteria dimana hasil keputusan ditentukan dari hasil pemeringkatan promethee II (net flow). Kriteria yang digunakan sebagai penilaian untuk merekomendasikan bank konvensional yaitu suku bunga tabungan (C1), jumlah mesin ATM (C2), setoran awal menabung (C3), biaya administrasi perbulan (C4) dan pelayanan bank (C5). Sistem yang dikembangkan ini menghasilakan Bank Mandiri sebagai rekomendasi bank konvensional sebagai solusi cerdas untuk menabung dengan nilai net flow 0,725. Dengan adanya sistem ini dapat membantu calon nasabah dalam menentukan tempat menabung yang ideal untuk mempersiapkan kebutuhan di masa depan.Kata kunci-Sistem pendukung keputusan, metode promethee, calon nasabah, rekomendasi bank konvensional AbstractMany banks in Indonesia, both government and private offer different advantages to customers, so there are still many common people who are hesitant in deciding where to save. The reasearch proposes a decision support system to recommend conventional banks as a savvy solution for saving. The promethee method generates decisions by comparing alternatives based on different preference functions and weights of each criterion in which the decision result is determined from the promethee II (net flow) rating. The criteria used as the valuation for conventional bank are savings interest rate (C1), number of ATM machine (C2), initial deposit of saving (C3), monthly administration fee (C4) and bank service (C5). This developed system resulted Bank Mandiri as recommendation of conventional bank as smart solution to save with net value 0,725. With this system can help prospective customers in determining the ideal saving place to prepare for future needs.
The purpose of the research is to classify the concept of understanding students in Mathematics lessons. In the learning process teaching students understanding learning materials is very important. The attainment of student understanding is a function of the being of an educator. Many formulas and concepts to understand make it difficult for students to solve math problems. The data source was obtained from the results of a math comprehension questionnaire of eighth graders at Tamansiswa Tapian Dolok Private Junior High School. The classification method used is the C4.5 Algorithm and assisted with RapidMiner software. Attributes used are student interests, how students learn, student motivation, how to teach teachers, learning media, and infrastructure facilities. The results of the calculation of entropy values and attribute gains obtained 15 rules of mathematical comprehension decisions with 9 rules of understanding status and 6 rules of inconsistency status. Classification modeling with C4.5 Algorithm on RapidMiner obtained 96.00% accuracy Classification with C4.5 Algorithm can be applied and provide new information about the classification of student comprehension concepts in math lessons
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