Minat belajar merupakan faktor yang sangat penting dalam keberhasilan belajar. Pada masa pandemi COVID 19, minat belajar siswa mengalami penurunan di karenakan pembelajaran yang dilakukan secara daring. Penelitian ini bertujuan untuk mengetahui minat belajar siswa kelas VI di Sekolah Dasar (SD) Mis Al Washliyah Padang Matinggi pada mata pelajaran IPA. Subjek dalam penelitian adalah siswa kelas VI sebanyak 39 orang. Jenis penelitian ini adalah penelitian kualitatif. Teknik pengambilan sampel yaitu purposive sample menggunakan observasi, wawancara dan angket sebagai data pendukung. Hasil penelitian yang telah dilakukan dengan empat indikator didapatkan yaitu perasaan senang terhadap mata pelajaran IPA sebesar 89,74%, perhatian siswa terhadap guru dengan metode daring (zoom, google meet,diskusi grup whatsapp,penugasan dan lain lain) sebesar 94,87%, siswa semangat mengikuti mata pelajaran IPA dimasa pandemi COVID-19 sebesar 89,74 %. Dan terakhir sumber pembelajaran IPA sebesar 89,74%. Berdasarkan hasil tersebut dapat disimpulkan minat belajar siswa kelas VI di Sekolah Dasar (SD) Mis Al Washliyah Padang Matinggi terhadap mata pelajaran IPA terpadu pada masa pandemi COVID-19 adalah sangat tinggi

Banyak faktor – faktor yang mempengaruhi harga saham, diantaranya: Gross ProfitMargin, Net Profit Margin, Return on Investment, Return on Equity, Return on Asset, Price Earning Ratio, Earning Per Shere, Debt to Equity Ratio, Current Ratio, Size Perusahaan,Growth, Deviden, Arus Kas dan sebagainya. Agar penelitian dapat lebih fokus dan mendalam,maka pada penelitian ini penelitian membatasi sesuai dengan Peraturan Bank Indonesia No:13/1/PBI/2011 2011 tanggal 5 Januari 2011 tentang Penilian Kesehatan Bank Umum yaituRisk Based Bank Rating (RBBR) melalui NPL (Non Performing Loan), LDR (Loan to Deposit Ratio), GCG (Good Corporate Governance), NIM (Net Interest Margin), ROA (Return on Assets), ROE (Return on Equity), CAR (Capital Adequacy Ratio), BOPO (Beban Operasionalterhadap Pendapatan Operasional) terhadap Harga Saham pada perusahaan Perbankan yang terdaftar di Bursa Efek Indonesia dari Tahun 2010 - 2014. Penelitian ini merupakan penelitian yang menggunakan pendekatan kuantitatif dimana data bersumber dari laporan keuangan yang dibpublikasikan oleh Perusahaan  perbankkan yang terdaftar di Bursa Efek Indonesia. Terdapat 41 Perusahaan Perbankan yang terdaftar di Bursa Efek Indonesia tahun 2014, tetapi yang memenuhi kriteria sebagai sampel hanya terdapat 20 perusahaan perbankan, sedangkan angka tahun yang digunakan adalah 5 tahun berturut – turut, sehingga jumlah sampel adalah 5 x 20 = 100 sampel. Untuk mengolah dan menganalisis data-data yang terkumpul dilakukan dengan distribusi frekuensi, korelasi product moment, korelasi ganda, regresi linier sederhana dan regresi ganda. Hasil dari penelitian ini adalah  Non Performing Loan (X1) Terhadap Harga Saham (Y). Berdasarkan hasil perhitungan dengan SPSS table di atas tampak nilai thitung> ttabel  yaitu 2.098 > . Yang artinya terdapat pengaruh positif dan signifikan antara Non Performing Loan (X1) Terhadap Harga Saham (Y). Loan to Deposit Ratio (X2)Terhadap Harga Saham (Y)Berdasarkan hasil perhitungan dengan SPSS table di atas tampak nilai thitung< ttabel  yaitu 0.097 < 1955 .Yang artinya tidak terdapat pengaruh yang signifikan antara Loan to Deposit Ratio (X2)Terhadap Harga Saham (Y). Good Corporate Governance (X3) Terhadap Harga Saham (Y). Berdasarkan hasil perhitungan dengan SPSS table di atas tampak nilai thitung> ttabel  yaitu 4.177 > . Yang artinya terdapat pengaruh positif dan signifikan antara Good Corporate Governance (X3)Terhadap Harga Saham (Y). Net Interest Margin (X4) Terhadap Harga Saham (Y). Berdasarkan hasil perhitungan dengan SPSS table di atas tampak nilai thitung> ttabel  yaitu 2.751 > 1955 . Yang artinya terdapat pengaruh positif dan signifikan  antara Net Interest Margin (X4)Terhadap Harga Saham (Y). Return on Assets (X5) Terhadap Harga Saham (Y). Berdasarkan hasil perhitungan dengan SPSS table di atas tampak nilai thitung< ttabel  yaitu 0.672 < 1955 . Yang artinya tidak terdapat pengaruh yang signifikan antara Return on Assets (X5)Terhadap Harga Saham (Y). Return on Equity  (X6) Terhadap Harga Saham (Y). Berdasarkan hasil perhitungan dengan SPSS table di atas tampak nilai thitung< ttabel  yaitu 1.951 < 1955 . Yang artinya tidak terdapat pengaruh yang signifikan antara Return on Equity  (X6) Terhadap Harga Saham (Y). Beban Operasional / Pendapatan Operasional (X7) Terhadap Harga Saham (Y). Berdasarkan hasil perhitungan dengan SPSS table di atas tampak nilai thitung< ttabel  yaitu 0.027 < 1955 . Yang artinya tidak terdapat pengaruh yang signifikan antara Beban Operasional / Pendapatan Operasional (X7) Terhadap Harga Saham (Y). Capital Adequacy Ratio (X8) Terhadap Harga Saham (Y). Berdasarkan hasil perhitungan dengan SPSS table di atas tampak nilai thitung> ttabel  yaitu 2.923 > 1955 .  Yang artinya terdapat pengaruh positif dan signifikan antara Capital Adequacy Ratio (X8)Terhadap Harga Saham (Y). Berdasarkan hasil uji statistik Fhitung > Ftabel (20.000> 2.60).  Hal ini menunjukkan bahwa variabel independen NPL, LDR, GCG, NIM, ROA, ROE, CAR dan BOPO secara simultan berpengaruh terhadap  variabel dependen harga saham perusahaan perbankan yang terdaftar di BEI periode 2010-2014. Kata Kunci: NPL, LDR, GCG , NIM , ROA , ROE , CAR ,BOPO,  Harga Saham There are some factors that affect stock prices, such as: Gross Profit Margin, Net Profit Margin, Return on Investment, Return on Equity, Return on Assets, Price Earning Ratio, Earnings Per Share, Debt to Equity Ratio, Current Ratio, Size Companies, Growth , Dividend, Cash Flow, and so on. In order to make the research more focused and in-depth, it was limited in accordance with Bank Indonesia Regulation No: 13/1 / PBI / 2011 2011, dated January 5, 2011 about the judging of Commercial Banks namely Risk Based Bank Rating (RBBR) through NPL (Non Performing Loan), LDR (Loan to Deposit Ratio), GCG (Good Corporate Governance), NIM (Net Interest Margin), ROA (Return on Assets), ROE (Return on Equity), CAR (Capital Adequacy Ratio), ROA (operational expense towards operating income) on stock price on the Banking companies listed on the Indonesian Stock Exchange of the Year 2010-2014. This research was a quantitative approach where the data source was from the financial statements by the Company published by banking companies listed on the Indonesia Stock Exchange. There are 41 Banking Companies listed on the Indonesia Stock Exchange in 2014, but which meet the criteria as there are only a sample of 20 banking companies, while the number of years used are five years in a row - row, so the sample size is 5 x 20 = 100 samples. To process and analyze the data collection was done with frequency distribution, product moment correlation, multiple correlation, simple linear regression and multiple regression. The results of this study are Non Performing Loan (X1) towards Share Price (Y). Based on calculations using SPSS, tcount> ttable was 2098>. Which means that there is positive and significant correlation between the Non Performing Loan (X1) Share Price (Y). Loan to Deposit Ratio (X2) Share Price (Y). Based on calculations by using SPSS, tcount <ttable was 0097 <1955 .It means that there is a significant difference between the Loan to Deposit Ratio (X2) Share Price ( Y). Good Corporate Governance (X3) Share Price (Y). Based on calculations using SPSS, tcount> ttable was 4177> which means that there is positive and significant correlation between good corporate governance (X3) Share Price (Y), Net Interest Margin (X4), and Share Price (Y). Based on calculations using SPSS, tcount> ttable was 2751> 1955 which means that there is positive and significant correlation between Net Interest Margin (X4) Share Price (Y). Return on Assets (X5) Share Price (Y). Based on calculations using SPSS table above looks tcount <ttable ie 0672 <1955 which means that no significant difference between the Return on Assets (X5) Share Price (Y). Return on Equity (X6) Share Price (Y). Based on calculations using SPSS , tcount <ttable was 1,951 <1955 which means that no significant difference between the Return on Equity (X6) Share Price (Y). Operating Expenses / Operating Income (X7) Share Price (Y). Based on calculations using SPSS, tcount <ttable was 0027 <1955 which means that no significant difference between Operating Expenses / Operating Income (X7) towards Share Price (Y). Capital Adequacy Ratio (X8) Share Price (Y). Based on calculations using SPSS, tcount> ttable was 2923> 1955 which means that there is positive and significant correlation between Capital Adequacy Ratio (X8) Share Price (Y). Based on the statistical test F count> F table (20,000> 2.60). It indicates that the independent variable NPL, LDR, GCG, NIM, ROA, ROE, and ROA CAR simultaneously affect the stock price of the dependent variable banking companies listed on the Stock Exchange in 2010-2014. Key words: NPL, LDR, GCG, NIM, ROA, ROE, CAR, ROA, stock price

The role of parents in accompanying children's success while studying at home is very central, in relation to this released various guidelines for parents in accompanying their children during this pandemic which includes parenting tips to be more positive and constructive in accompanying them. Parents initially played a role in guiding basic attitudes and skills, such as religious education to obey the rules, and for good habituation, but their role became expanded, namely as a companion to academic education. The aim of this research are to explain the actual role of parents in children's learning during this pandemic and to find out what children will do if there is no role of parents in children's learning during this pandemic. This research uses purposive sampling method. In this technique the researcher determines the sumpling taking according to the research objectives, so that it is expected to answer the researcher's  problems. By using a qualitative approach, the data analysis technique was carried out in a descriptive qualitative manner using the Miles Damn Huberman model. The results showed that the role of parents in learning biology during the epidemic was based on  educators (80%);  Supervisor (75%);  counselors (70%) (4) opinion on online learning (75%;  the number of cities that were broadcast during the pandemic (85%).

Growth and Production of Corn Plants (Zea mays L) with Provision of liquid supplementary fertilizer (PPC) is an alternative fertilizer that can increase plant growth and production. The constituents of the nutrients can provide elements that are not present in the soil. This study aims to get the right dose for growth and production of corn (Zea mays L). The treatment consists of 7 levels O0 = N, P, K Recommended dosage (Urea = 5 g / array; TSP = 2.50 g / KCl array = 1.87 g / array) O1 = Standard organic compost / fertilizer (gr / plot) ) + N, P, K (Urea = 5 g / bolt; TSP = 2.50 g / bolt; KCl = 1.87 g / bolt) O2 = 0.75 ml Primatan + N, P, K (Urea = 5 g / run; TSP = 2.50 g / run; KCl = 1.87 g / run) P3 = 1.12 ml Primate + N, P, K (Urea = 5 g / run; TSP = 2.50 g / extract; KCl = 1.87 g / extract) O4 = 1.5 ml Primatan + N, P, K (Urea = 5 g / extract; TSP = 2.50 g / extract; KCl = 1.87 g / array) O5 = 1.5 ml Primatan + 0.75 N, P, K (urea = 3.75 g / run; TSP = 1.87 g / run; KCl = 0.14 g / run) O6 = 1.5 ml primatan + 0.50 N, P, K (urea = 2.50 g / bolt; TSP = 1.25 g / bolt; KCl = 0.93 g / bolt). Treatment P2 = 0.75 ml Primatan + N, P, K (Urea = 5 g / line; TSP = 2.50 g / line; KCl = 1.87 g / line) is able to give the best results for all parameters, namely plant height amounting to 44.09 cm, leaf area 241.19 mm3, biomass weight per plant sample 271.50 g, selling fresh weight 225.50 g, total chlorophyll 30.93units / 6 mm 3 .

The purpose of this study is to find out the influence of internet media on students' learning interests in State Senior High School 2 South Rantau during Covid-19. Internet media has a very important role to foster students' learning interest during COVID-19. This research is qualitative descriptive research where the data source of this research is students. The tools used in collecting data are questionnaires and documentation. The sampling techniques used in this research are purposive. Samples from this study were students of grade XII Science-1 and XII Science-2, each class of 32 students. The results of the poll for learning interests showed that the utilization of internet media is in a high category of 52.3%. Interest in utilizing internet media to learn is in a very less supportive category of 32.5%. Students' desire to learn was in the less good category of 8.7%. Student involvement in learning is in a very supportive category of 6.5%. The results of this study show that there is a positive and negative impact of internet media on students' learning interests