No abstract

This study was conducted with the aim to the clustering of provinces in Indonesia of the risk of the COVID-19 pandemic based on coronavirus disease 2019 (COVID-19) data. This clustering was based on the data obtained from the Indonesian COVID-19 Task Force (SATGAS COVID-19) on 19 April 2020. Provinces in Indonesia were grouped based on the data of confirmed, death, and recovered cases of COVID-19. This was performed using the K-Means Clustering method. Clustering generated 3 provincial groups. The results of the provincial clustering are expected to provide input to the government in making policies related to restrictions on community activities or other policies in overcoming the spread of COVID-19. Provincial Clustering based on the COVID-19 cases in Indonesia is an attempt to determine the closeness or similarity of a province based on confirmed, recovered, and death cases. Based on the results of this study, there are 3 clusters of provinces.

Abstrak. Penelitian ini merupakan penelitian deskriptif yang bersifat kualitatif yang bertujuan untuk mendeskripsikan kemampuan pemecahan masalah matematis ditinjau dari kemampuan awal matematika dan perbedaan gender. Subjek penelitian ini adalah enam orang siswa Keenam siswa dipilih berdasarkan nilai Tes Kemampuan Matematika yang terbagi dalam kategori tinggi, sedang, dan rendah dengan dua orang masing-masing satu laki-laki dan satu perempuan yang mewakili tiap tingkatan kemampuan matematika pada materi SPLDV dengan mengambil nilai tertiggi dari tiap kategori kemampuan. Keenam subjek diberikan TesKemampuan Pemecahan Masalah Matematika I dan TesKemampuan Pemecahan Masalah Matematika II dalam waktu yang berbeda. Teknik analisis data menggunakan analisis kualitatif.Hasil dari penelitian ini menunjukkan bahwa: (1) Indikator menyebutkan hal-hal yang diketahui dan ditanyakan dimiliki oleh semua subjek, (2) Indikatormembuat rencanapenyelesaian masalah dari hal-halyang diketahui untukpemecahan masalahdimiliki oleh semua subjek, (3) Indikator melaksanakanpemecahan masalah melaluirencana yang telah dibuat dimiliki oleh semua subjek, (4) Indikator melakukan pemeriksaan kembali terhadapjawaban yang sudah adadimiliki oleh semua subjek.Kata kunci: penelitian kualitatif, kemampuan pemecahan masalah matematis, kemampuan awal matematika, perbedaan gender, sistem persamaan linear dua variabelAbstact. This research is a qualitative descriptive research that aims to describe the ability of problem solving mathematically viewed from the early ability of mathematics and gender differences. The subjects of this study were six students. The six students were selected based on the Mathematics Ability test scores divided into high, medium, and low categories with two men each and one woman representing each level of math skills on SPLDV material by taking the highest grades from each capability category. The six subjects were given the Mathematical Problem Solving Ability Test I and the Mathematics Problem Solving Ability Test II at different times. Data analysis techniques using qualitative analysis. The results of this study indicate that: (1) Indicators mention things that are known and questioned by all subjects, (2) Indicators to make problem-solving plans from things known for problem solving are shared by all subjects, (3) Indicators carry out problem solving through a plan that has been made owned by all subjects, (4) Indicators of re-examination of existing answers owned by all subjects.Keywords: Qualitative research, mathematical problem solving skills, early math ability, gender differences, two-variable linear equations system

The objective of this study was to determine whether Covid-19 cases in the world would have reached 4 million cases with the SutteARIMA method forecasting approach. Data from this study were obtained from the Worldometer from 1 March 2020 to 05 May 2020. Data were used for data fitting from 1 March 2020 to 28 April 2020 (29 April 2020 – 05 May 2020). The data fitting is used to see the extent of the accuracy of the SutteARIMA method when predicting data. The MAPE method is used to see the level of data accuracy. Results of forecasting data for the period from 29 April 2020 to 05 May 2020: 72,731; 84,666; 92,297; 100,797; 84,312; 81,517; 74845. The accuracy of SutteARIMA for the period 30 April 2020 – 06 May 2020 shall be 0.069%. Forecast results for as many as 4 million cases, namely from 08 May 2020 to 10 May 2020: 3,966,786; 4,047,328 and 4,127,747. The SutteARIMA method predicts that 4 million cases of Covid-19 in the world will be reported on the WHO situation report on the day 110/111 or 09 May 2020/10 May 2020.

Pengolahan data menggunakan Anaysis Toolspack dilakukan dalam bentuk pelatihan bagi guru-guru di Kab. Barru bekerjasama dengan UPT SMA Negeri 1 Barru Kabupaten Takalar. Pelatihan bertempat di SMA Negeri 1 Barru Kabupaten Barru dan dilaksanakan secara daring dengan menggunakan Zoom. Tujuan dari pelatihan ini adalah agar guru terampil dalam menggunakan paket statistik yang dimiliki Excel untuk mengolah data dan mengolah data menjadi satu informasi. Hasil pelatihan menunjukkan bahwa rata-rata kemampuan guru dalam menggunakan statistika pada paket excel analysis tools pack dalam mengolah dan mengolah data setelah pelatihan lebih baik (meningkatkan) daripada sebelum pelatihan.