E-Jurnal Universitas Swadaya Gunung Jati
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Keterampilan Abad 21 Kaitannya Dengan Karakteristik Masyarakat di Era Abad 21
No full textKeterampilan abad 21 adalah keterampilan penting yang harus dikuasai oleh semua orang dalam menghadapi kehidupan abad 21. Keterampilan abad 21 yang harus dikuasai oleh setiap individu terdiri dari learning skills, literacy skills, serta life skills. Karakteristik masyarakat abad 21 merupakan ciri khas yang dimiliki oleh seseorang yang membedakan dengan yang lain, terdiri dari kritis, kreatif, komunikatif, adaptif, kepemimpinan, inisiatif, serta kepekaan sosial dan budaya.Penelitian ini dilakukan menggunakan pendekatan deskriptif kualitatif. Adapun teknik pengumpulan data yang digunalkan dalam penelitian ini adalah studi kepustakaan (literature review). Variabel pada penelitian studi pustaka (literature review) bersifat tidak baku. Berdasarkan hasil kajian literatur yang dilakukan bahwa kaitan antara keterampilan abad 21 dengan karkteristik masyarakat abad 21 sangatlah erat. Keterampilan abad 21 merupakan dasar dalam pembentukkan karakteristik masyarakat. Apabila setiap orang mahir menguasai keterampilan abad 21 secara tidak langsung karakteristik masyarakat akan terbentuk mengikuti era saat ini
Karakteristik Keterampilan Guru Abad 21
No full textAbstrak. Guru era abad 21 menyongsong generasi emas yang melek dengan IPTEK. Generasi emas adalah generasi muda yang mempunyai keterampilan abad 21 yaitu insan yang berkarakter, berpikir kritis, kreatif, inovatif, komunikatif, kolaboratif, dan kompetitif. Menyiapkan generasi emas Indonesia untuk kehidupan di abad ke-21 adalah sesuatu yang kompleks dan rumit. Berbagai tantangan yang harus dihadapi di era Revolusi 4.0 dan Society 5.0 seperti: globalisasi, teknologi, migrasi, kompetisi, perubahan di segala bidang, dan tantangan lingkungan. Upaya pemerintah menyiapkan segala perubahan ini diantaranya pembangunan di bidang pendidikan, dengan melakukan penyempurnaan dan pengembangan kurikulum serta peningkatan profesionalisme tenaga pendidik (guru). Penelitian ini menggunakan kajian literatur yang mana literatur yang diambil sesuai dengan pokok pembahasan dan di analisis secara mendalam sehingga dapat diambil kesimpulan dan temuan dalam penelitian. Penelitian kualitatif dituntut mampu mengorganisasikan semua teori yang dibaca. Literatur yang diambil baik dari buku, artikel jurnal baik nasional maupun internasional dan literatur lainnya. Guru sebagai seorang pendidik di sekolah, haruslah memiliki kompetensi terbaik dalam bidangnya. Maju mundurnya suatu negara berada ditangan guru. Dalam menyiapkan generasi milenial yang tangguh, kreatif, inovatif, kompetitif yang berdaya saing dan cerdas tentunya diperlukan guru yang memiliki main set yang unggul dengan menerapkan kurikulum. Oleh karena itu untuk memberikan pendidikan yang berkualitas kepada peserta didik di era abad 21 ini menuntut guru untuk memiliki keterampilan teknologi yang dibutuhkan agar dapat memanfaatkan kekuatan komputer dan teknologi yang terkait dengannya untuk pengajaran yang efektif.Kata Kunci: Abad 21, Keterampilan Guru, Kinerja Gur
Hubungan Perhatian Orang Tua Terhadap Kecerdasan Emosional Siswa SD
No full textPerhatian orang tua penting dalam membangun kecerdasan emosional siswa. Penelitian ini bertujuan untuk mengetahui hubungan antara perhatian orang tua terhadap kecerdasan emosional siswa kelas v sekolah dasar yang ada di Kecamatan Matraman. Penelitian menggunakan pendekatan kuantitatif dengan metode yang digunakan yakni simple random sampling dan subjek yang diteliti adalah siswa kelas V dari SDN Kebon Manggis 01 Pagi sebanyak 35 siswa. Angket dan dokumentasi merupakan teknik pengumpulan data yang dipakai. Analisis statistik yang digunakan pada penelitian ini adalah uji hipotesis analisis korelasi product moment. Dari hasil uji korelasi product moment diketahui bahwa x2 hitung sebesar 15,75 artinya negatif dan x2 hitung < x2 tabel dengan taraf signifikansi 5% = 0,13 yang artinya tidak signifikan. Disimpulkan bahwa tidak ada hubungan yang positif dan signifikan antara perhatian orang tua terhadap kecerdasan emosional siswa kelas V SDN Kebon Manggis 01 Pagi Kecamatan Matraman.Kata Kunci:Perhatian Orang tuaKecerdasan EmosionalSekolah Dasa
Transportation Route Selection Analysis of The Tuban-Bojonegoro Route Due to The Damage of The Glendeng Bridge
No full textA bridge is a structure built to connect two or more points separated by a river, valley, ravine, or highway. Damage to a bridge can cause several adverse impacts, including: traffic accidents, transportation disruptions, economic disruptions, social disruptions, environmental damage, financial losses. The traffic flow diversion through the three-way intersection before the Glendeng Bridge to the Kaliketek Bridge is intended for small vehicles while large vehicles are diverted to the Soko-Ponco highway. The 4 km traffic diversion route is quite far for the local community. Apart from the Kaliketek Bridge alternative, people can also use boat crossings as access between cities. But the boat can only be used by two wheels. Therefore this study aims to determine the effectiveness of alternatives between Kaliketek routes and boat crossings. The purpose of this research is to analyze which path is more effective for 2-wheeled riders between the Kaliketek and Ferry Boat Routes and to find out the more effective path between the two. The method used in making decisions and selecting solutions is to use the AHP method. The results of this study include: Alternative value analysis is carried out by calculating pairwise comparisons starting from alternatives, sub-criteria and criteria. In this study, the calculated value of the sub-criteria was obtained with the GM value of each sub-criteria, namely time 0.93, convenience 0.88, cost 0.00 and safety 0.00. While the Vp value is obtained by dividing the GM value by the total GM value. And from this calculation the value of Vp time is 0.51, comfort 0.49, cost 0.00 and security 0.00. Then calculate the value of the evaluation criteria for the sub-criteria and get a GM value for the Kaliketek route of 0.79 while the ferry boat route is 0.81. The GM value is used to find the VP value by dividing each GM value by the total GM value. From the calculation, the VP value for the Kaliketek route is 0.49 and for the boat crossing route is 0.51. The choice of an alternative connecting route as a result of the construction of the Simo-Glendeng Bridge for 2 wheels is a boat route with a priority vector value of 0.51 and an emphasis on the time factor with a priority vector value of 0.51
Study of The Effect of Coconut Shell Mixture As a Substitutional Material for Coarse Aggregate on The Compressive Strength of Concrete F\u27c 20 Mpa (Coconut Shell Ex. Pasar Kemakmuran)
No full textCoconut shell is a hard layer made up of lignin and cellulose which has a low water content, the hard structure of coconut shell is caused by silicate (SiO2) which is quite high, silicate itself is known to increase the compressive strength of concrete, the shape of coconut shell has a hard layer and a rough surface texture so that the bond with cement paste will be stronger. Therefore, if coconut shell can be technically proven as a material or aggregate for concrete mixes, it is expected to reduce the impact of environmental pollution.
In this research, coconut shells were crushed into pieces with a maximum size of 20 mm x 20 mm and used as a substitute for coarse aggregate mixed with fine aggregate, water and type 1 cement. The percentages of coconut shell used in this study were 0%, 2.5% and 5%. Moulded in the form of a cylinder measuring 15x30 cm. The aim of this study is to analyze the characteristics of f\u27c 20 MPa concrete with the addition of coconut husk and to obtain effective mix variation through compressive strength tests at 14 and 28 days.
From the research results, it can be shown that the compressive strength of normal concrete at the age of 14 and 28 days is 22.081 Mpa, 18.684 Mpa, 20.948 Mpa, 20.099 Mpa, 19.816 Mpa, 24.912 Mpa, 23.213 Mpa, 21.515 Mpa, 20.099 Mpa and 21.231 Mpa respectively. The compressive strength of concrete with 2.5% of coconut shell at 14 and 28 days is 20.948 Mpa, 19.816 Mpa, 16.985 Mpa, 20.948 Mpa, 19.816 Mpa and 16.985 Mpa, respectively. The compressive strength of concrete with 5% of coconut shell at 14 and 28 days is 18.117 Mpa, 16.419 Mpa, 14.154 Mpa, 18.684 Mpa, 18.117 Mpa, 17.551 Mpa, respectively. Thus, the compressive strength of concrete with 2.5% and 5% coconut shell substitution can reduce the compressive strength of concrete from the targeted compressive strength
Optimalisasi Keuntungan Usaha Industri Kecil Menengah Tempe di Kota Samarinda
No full textTempe merupakan makanan hasil fermentasi antara kedelai dan jamur rizhopus sp. Tempe memiliki banyak protein nabati dengan harga relatif murah. Kegiatan IKM tempe merupakan kegiatan menghasilkan produksi tempe sebagai usaha agribisnis. Penelitian ini bertujuan untuk mengetahui produksi, keuntungan dan optimalisasi produksi tempe di Kota Samarinda. Penelitian ini telah dilaksanakan sejak Oktober sampai Desember 2020 di 3 Kelurahan Kota Samarinda. Pengambilan sampel dilakukan secara purposive sampling dengan jumlah 7 responden. Metode pengumpulan data primer dan data sekunder Data dianalisis dengan menggunakan Linier Pragramming dan metode Simplek dan analisis biaya produksi, keuntungan dan optimalisasi hasil produksi. Hasil penelitian menunjukkan bahwa rata-rata produksi yang dihasilkan oleh IKM Tempe di Kota Samarinda dalam 1 bulan adalah 3.676.14 kemasan-1 sehingga doperoleh biaya penerimaan responden sebesar Rp. 22.793.285,71 bln-1 dengan rata-rata biaya produksi tempe sebesar Rp. 16.852.608,86 bln-1 sedangkan rata-rata pendapatan responden yaitu sebesar Rp. 5.940.676,86 bln-1 dari hasil yang diperoleh yang kemudia dianalisis menggunakan Software QM For Windows 3 responden yang mempunyai hasil keuntungan dan produksi yang optimal dan 4 rensponden belum memiliki keuntungan dan produksi kurang optimal dari hasil faktual. Kata kunci: Keuntungan, Optimalisasi, Produksi, Tempe
Analisis Perbandingan Pendapatan Usahatani Padi Organik Dengan Padi Non Organik Di Nagari Lubuak Jantan Kecamatan Buo Utara Kabupaten Tanah Datar
No full textBudidaya padi sawah organik sudah menjadi program utama pemerintah daerah Sumatera Barat. Namun ushaatani padi organik belum berkembang seperti yang diharapkan. Hal ini terlihat dari masih sedikitnya petani yang mau melakukan usahatani padi organik dibandingkan padi non organik. Penelitian ini dilakukan di Nagari Lubuak Jantan Kecamatan Buo Utara Kabupaten Tanah Datar yang bertujuan untuk melihat perbandingan pendapatan dan keuntungan usahatani padi organik dengan padi non organik. Pendekatan yang digunakan dalam penelitian ini adalah pendekatan kuantitatif dengan menggunakan petani sampel sebanyak 20 orang petani padi organik dan 20 orang petani padi non organik. Berdasarkan hasil penelitian diketahui bahwa Pendapatan padi organik di Nagari Lubuak Jantan lebih tinggi dibandingkan pendapatan padi non organik. Dimana pendapatan padi organik rata-rata adalah Rp 24.264.323 /Ha/musim tanam. Sedangkan pendapatan petani non organic rata-rata adalah 18.330.311 /Ha/musim tanam. Sedangkan keuntungan padi organik di Nagari Lubuak Jantan lebih tinggi dibandingkan keuntungan padi non organik. Dimana keuntungan padi organik rata-rata adalah Rp 19.897.756/Ha/musim tanam. Sedangkan pendapatan petani non organik rata-rata adalah 14.337.554/Ha/musim tana
The Influence of Free Cash Flow, Profit Stability, Level of Asset Expansion, Leverage, and Company Funding Requirements on Dividend Policy
No full textThis study aims to analyze the effect of free , earnings stability, level of asset expansion, , and the company\u27s funding requirements on dividend policy partially and simultaneously empirical studies on industrial sector manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2017-2017 period 2021. The data used is secondary data obtained using non- participating observation techniques. The method used in this research is descriptive and verification method with a quantitative approach. Samples were taken using quota sampling, and 26 companies were obtained. The analysis technique used is panel data regression analysis. Data processing uses the eviews 9.0 program. This study uses the variables free , earnings stability which is proxied by SM, the level of expansion of assets which is proxied by GROWTH, is proxied by DER, and the company\u27s funding requirements are proxied by CR. The results shows that simultaneously free , the stability of company earnings, the level of expansion of assets, , and the company\u27s funding requirements have a significant positive effect on dividends policy. Partially, free has a significant positive effect on dividends policies, earnings stability has a significant positive effect on dividend policy, the level of asset expansion has no significant negative effect on dividend policy, has no significant negative effect on dividends policies, and the company\u27s funds requirements have a significant positive effect on dividends policy. From this study, the adjusted R-square value was 0.2244693, which means that 22.45% of the change in the dependent variables can be explained by the determining variables in the model, while the remaining 77.55% is influenced by other variables studied.This study aims to analyze the effect of free , earnings stability, level of asset expansion, , and the company\u27s funding requirements on dividend policy partially and simultaneously empirical studies on industrial sector manufacturing companies listed on the Indonesia Stock Exchange (IDX) for the 2017-2017 period 2021. The data used is secondary data obtained using non- participating observation techniques. The method used in this research is descriptive and verification method with a quantitative approach. Samples were taken using quota sampling, and 26 companies were obtained. The analysis technique used is panel data regression analysis. Data processing uses the eviews 9.0 program. This study uses the variables free , earnings stability which is proxied by SM, the level of expansion of assets which is proxied by GROWTH, is proxied by DER, and the company\u27s funding requirements are proxied by CR. The results shows that simultaneously free , the stability of company earnings, the level of expansion of assets, , and the company\u27s funding requirements have a significant positive effect on dividends policy. Partially, free has a significant positive effect on dividends policies, earnings stability has a significant positive effect on dividend policy, the level of asset expansion has no significant negative effect on dividend policy, has no significant negative effect on dividends policies, and the company\u27s funds requirements have a significant positive effect on dividends policy. From this study, the adjusted R-square value was 0.2244693, which means that 22.45% of the change in the dependent variables can be explained by the determining variables in the model, while the remaining 77.55% is influenced by other variables studied
The influence of book tax differences , cash flow volatility, managerial ownership, amount of accruals and company size on profit persistence (case study of consumer services sub-sector companies listed on the Indonesian Stock Exchange in 2017 - 2021)
No full textThe purpose of this study was to determine the effect of Book Differences, Cash Flow Volatility, Managerial Ownership, and Amount of Company Size Accruals on Earnings Persistence. The methods used in this research are descriptive and verification. The population in this research is the financial reports of consumer services sub-sector companies listed on the Indonesia Stock Exchange for 2017-2021, namely 40 research companies. The sampling technique in this study used purposive sampling and obtained a sample of 21 companies. Astatistic used is panel data regression, while the hypothesis test uses the f-test and t-test. Based on the simultaneous test results of Book Tax Differences Cash Flow Volatility, Managerial Ownership, Accrual Amounts, and Uk have a simultaneous effect on earnings persistence, and based on the partial test of Tax Differences, Cash Flow Volatility, Managerial Ownership, Al Amounts and Sizes have a positive and significant effect on earnings persistence.The purpose of this study was to determine the effect of Book Differences, Cash Flow Volatility, Managerial Ownership, and Amount of Company Size Accruals on Earnings Persistence. The methods used in this research are descriptive and verification. The population in this research is the financial reports of consumer services sub-sector companies listed on the Indonesia Stock Exchange for 2017-2021, namely 40 research companies. The sampling technique in this study used purposive sampling and obtained a sample of 21 companies. A statistic used is panel data regression, while the hypothesis test uses the f-test and t-test. Based on the simultaneous test results of Book Tax Differences Cash Flow Volatility, Managerial Ownership, Accrual Amounts, and Uk have a simultaneous effect on earnings persistence, and based on the partial test of Tax Differences, Cash Flow Volatility, Managerial Ownership, Al Amounts and Sizes have a positive and significant effect on earnings persistence
ARTIFICIAL NEURAL NETWORK ALGORITHM EVALUATION, MULTIPLE REGRESSION ANALYSIS AND SUPPORT VECTOR MACHINE ON STOCK MARKET PREDICTION
No full textFinancial time series is one of the most challenging applications of modern time series forecasting. Financial time series is closely related to noise (disturbance signals), non-stationary and deterministic chaotic. The characteristics indicate that no exhaustive information can be obtained from the past behavior of financial markets to capture the full dependency between future prices and that of the past. The purpose of this study is to determine the correct algorithm for Artificial Neural Networks, Multiple Regression Analysis and Support Vector Machines so that the highest accuracy value for prediction trend accuracy and the smallest value for Root Mean Square Error can be obtained. The research method used is 1. Neural network, 2. SVM, 3. Linear regression. From the data that has been tested using the Rapidminer tool with parameters that refer to several literatures [5], data collection is taken from the Stock Market Online Application "MetaTrader version 4" of the type "daily/Daily" with a time span of "03/09/2001 up to 25/07/2012", a total of 2052 data", with the attribute "Date, Open, High, Low, Close, Volume" with the Main attribute "Close" using the Support vector machine algorithm, artificial neural network and multiple linear regression, then the conclusion drawn is that the value close to the series value is the value tested on the support vector machine algorithm, with parameters For RMSE values close to the value "0" obtained from the measurement results in the SVM Algorithm on the RBF (radial basis function) kernel with a value "gamma" γ = 100 with RMSE = 0.000, and SE = 0.000. with prediction accuracy error = 0.976Financial time series is one of the most challenging applications of modern time series forecasting. Financial time series is closely related to noise (disturbance signals), non-stationary and deterministic chaotic. The characteristics indicate that no exhaustive information can be obtained from the past behavior of financial markets to capture the full dependency between future prices and that of the past. The purpose of this study is to determine the correct algorithm for Artificial Neural Networks, Multiple Regression Analysis and Support Vector Machines so that the highest accuracy value for prediction trend accuracy and the smallest value for Root Mean Square Error can be obtained. The research method used is 1. Neural network, 2. SVM, 3. Linear regression. From the data that has been tested using the Rapidminer tool with parameters that refer to several literatures [5], data collection is taken from the Stock Market Online Application "MetaTrader version 4" of the type "daily/Daily" with a time span of "03/09/2001 up to 25/07/2012", a total of 2052 data", with the attribute "Date, Open, High, Low, Close, Volume" with the Main attribute "Close" using the Support vector machine algorithm, artificial neural network and multiple linear regression, then the conclusion drawn is that the value close to the series value is the value tested on the support vector machine algorithm, with parameters For RMSE values close to the value "0" obtained from the measurement results in the SVM Algorithm on the RBF (radial basis function) kernel with a value "gamma" γ = 100 with RMSE = 0.000, and SE = 0.000. with prediction accuracy error = 0.976