Pembangunan manusia merupakan suatu tujuan utama untuk mengukur keberhasilan sebuah negara. Salah satu aspek penting untuk mengukur tingkat pembangunan manusia adalah masyarakat yang unggul dari segi kuantitas dan kualitas, maka dilihat dari tiga dimensi kehidupan yaitu peluang hidup, pengetahuan, dan kehidupan yang layak. Penelitian ini membahas tentang pemanfaatan algoritma k-means untuk mengelompokkan kabupaten/kota di Provinsi Maluku berdasarkan kemiripan karakteristik daerah yang ditinjau dari lima ukuran Indeks Pembangungan Manusia (IPM). Lima ukuran tersebut adalah Angka Harapan Hidup (AHH), Angka Melek Huruf (AMH), Rata-rata Lama Sekolah (RLS), dan Pengeluaran Per Kapita (PPK). Terdapat tiga cluster berdasarkan IPM yaitu: cluster 1: Kota Ambon, yang mempunyai angka IPM sangat maksimal. Cluster 2: MTB, Kepulauan Aru, SBB, SBT, MBD, dan Bursel, yang mempunyai angka IPM, AHH, AMH, RLS, dan PPK. Cluster 3: Malra, Malteng, Buru, Tual mempunyai angka IPM. AHH, AMH, RLS dan angka PPK. Berdasarkan angka Indeks Pembangunan Manusia, Angka Harapan Hidup, Angka Melek Huruf, Angka Rata-rata Lama Sekolah dan angka Pengeluaran Per Kapita, disimpulkan bahwa terdapat perbedaan yang signifikan pada tahun 2014.
Learning that encourages the development of students’ creative thinking needs to be maximized since the level of primary education, including in the disadvantaged, outermost, and frontier regions that is referred to 3T areas (terdepan, terluar, tertinggal) in Indonesia is still categorized as underdeveloped that requires special attention. The main objective of this research was to diagnose students’ creative thinking skills for four components including fluency, flexibility, originality, and elaboration on students in the islands. The study was conducted on 161 students sitting in fourth grade from 6 elementary schools. The unique thing why this research was conducted because the research location was one of the Maluku Islands, which has abundant sea, air and land in terms of natural resources and is one of the areas that borders directly with Australia, so it can be predicted students’ creative thinking skills will be good. However, the analysis results report that students’ creative thinking skills were still very low and thus require comprehensive learning improvement to improve students’ creative thinking skills. It was hoped that good creative thinking skills of students will support better regional development in the future.
Th is study aimed to examine the eff ectiveness and practicality of modules used to teach the elementary students in Ambon, Moluccas, Indonesia and as a result generate a thematic module based on Numbered Heads Together (NHT) cooperative learning model. We adopted a 4D development model, which comprises four stages: defi ne, design, develop, and disseminate to produce the module. A survey and interviews were conducted at the defi ne stage and the results proved that the students used modules which only accommodate the traditional learning model. Th ese modules did not provide the students with activities which could help improve their thinking skills. At the defi ne stage, a thematic module was created and at the develop stage, it was revised based on suggestions from experts and the results of the fi eld try-outs. Th e use of the module showed a signifi cant improvement in student achievement. Th e fi nal step of the development of the module was performed by providing teachers with a training program on teaching resources and lesson study. Future research is expected to be empirical so that it can investigate the eff ect of the thematic module on students' higher order thinking skills.
This study was aimed at analyzing the difference improvement of statistical literacy of the student teacher candidate in terms of their prior-ability on mathematics (PAM). This study used the Quasi Experiment method with the Non-equivalent Pretest-Posttest Control Group type and a sample of seventy elementary school student teacher candidates. The sampling technique used was purposive sampling method. The results of the research data were then analyzed using an independent sample t-test. Normalized-gain was used to analyze the improvement of students’ statistic literacy abilities. The study results significant differences in statistical literacy. Based on PAM, the group of students who received collaborative problem solving (CPS) models achieved higher statistical literacy improvements than students in the expository group. The improvement of statistical literacy was due to the effectiveness of CPS model. Collaborating can strengthen student statistic literacy skills. The ability of statistical literacy in learning requires students to have good PAM, because the PAM is a combination of knowledge and mathematical thinking skills in collaborating students can be actively involved in dealing with solving challenging statistical problems.KEMAMPUAN LITERASI STATISTIK MAHASISWA CALON GURU DITINJAU DARI KEMAMPUAN AWAL MATEMATIKAAbstrakPenelitian ini bertujuan untuk menganalisis perbedaan peningkatan literasi statistis mahasiswa ditinjau dari kemampuan awal matematis (KAM). Penelitian menggunakan metode Quasi Eksperiment dengan tipe Non equivalent Pretest-Posttest Control Group. Sampel sebanyak 70 mahasiswa calon guru sekolah dasar yang diambil menggunakan metode purposive sampling. Data dianalisis menggunakan uji independent sample t-test. Normalized-gain digunakan untuk menganalisis peningkatan kemampuan literasi statistis mahasiswa. Penelitian menghasilkan adanya perbedaan signifikan peningkatan literasi statistis. Berdasarkan KAM kelompok mahasiswa yang mendapatkan pembelajaran dengan model collaborative problem solving (CPS) mencapai peningkatan literasi statistis lebih tinggi dari mahasiswa pada kelompok ekspositori. Peningkatan literasi statistis dikarenakan efektifnya penggunaan model CPS. Berkolaborasi dapat memperkuat kemampuan literasi statistis mahasiswa. Kemampuan literasi statistis dalam pembelajaran mensyaratkan mahasiswa harus memiliki KAM yang baik, karena KAM merupakan kombinasi antara pengetahuan dan keterampilan berpikir matematis sehingga dalam berkolaborasi mahasiswa dapat terlibat aktif dalam menghadapi dan menyelesaikan masalah statistik yang menantang.
The Artificial Neural Networks is a process of information system on certain traits which as representatives of the human neural networks. The Artificial Neural Networks can be applied in every area of human life, one of them is environment especially about prediction of climate or weather. In this research, the artificial neural network is used to predict the rainfall with Backpropagation method and using MATLAB software. The other meteorology parameters used to predict the rainfall are air temperature, air velocity and air pressure. The result showed less accuracy level is 80% by using alpha 0,7, iteration number (epoch) 10000 and MSE value = 0,0218. Therefore, the result of rainfall prediction system is accurate.
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