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ANALISIS KURVA PHILLIPS DI INDONESIA Ahmad Albar Tanjung; Annisa Anggreini Siswanto
Media Ekonomi Vol. 30 No. 1 (2022): April
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (603.209 KB) | DOI: 10.25105/me.v30i1.10066

Abstract

This research aims to investigate whether the relationship between unemployment and inflation in Indonesia is by the Phillips curve theory. This research is quantitative. The estimation method used is ECM Two-Step Engle-Granger. in the long term, it is estimated using Ordinary Least Square (OLS), while in the short term it is estimated using the Error Correction Model (ECM). The cointegration test uses the Engle-Granger cointegration test. The data used are secondary level data, wage rate data as a proxy for inflation, and unemployment rates from 1991-2020 obtained from the world bank. The findings of this study are that in the short term, the unemployment rate is negatively related to inflation but is not significant, meaning that a trade-off between the unemployment rate and inflation occurs but the effect is not significant. In other words, in Indonesia, the relationship between the unemployment rate and inflation follows the Phillips Curve theory, but in the long run, there is a positive relationship between the unemployment rate and inflation but it is not significant.
ANALISIS KURVA PHILLIPS DI INDONESIA Ahmad Albar Tanjung; Annisa Anggreini Siswanto
Media Ekonomi Vol. 30 No. 1 (2022): April
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/me.v30i1.10066

Abstract

This research aims to investigate whether the relationship between unemployment and inflation in Indonesia is by the Phillips curve theory. This research is quantitative. The estimation method used is ECM Two-Step Engle-Granger. in the long term, it is estimated using Ordinary Least Square (OLS), while in the short term it is estimated using the Error Correction Model (ECM). The cointegration test uses the Engle-Granger cointegration test. The data used are secondary level data, wage rate data as a proxy for inflation, and unemployment rates from 1991-2020 obtained from the world bank. The findings of this study are that in the short term, the unemployment rate is negatively related to inflation but is not significant, meaning that a trade-off between the unemployment rate and inflation occurs but the effect is not significant. In other words, in Indonesia, the relationship between the unemployment rate and inflation follows the Phillips Curve theory, but in the long run, there is a positive relationship between the unemployment rate and inflation but it is not significant.
RESPONSE TO APPLYING COW DUNG BOKASHI FERTILIZER AND LIQUID ORGANIC FERTILIZER HOUSEHOLD WASTE TOWARD GROWTH AND PRODUCTION CUCUMBER PLANTS (Cucumi sativus L.) Yudi Siswanto; Annisa Anggreini Siswanto
Journal of Engineering, Electrical and Informatics Vol 2 No 3 (2022): Oktober: Journal of Engineering, Electrical and Informatics:
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i3.871

Abstract

Cucumber (Cucumis sativus L.) has a very high economic value because cucumbers are widely consumed by people, so the need for cucumbers continues to increase every year. The nutritional value of cucumbers is quite good because this vegetable or fruit is a source of minerals and vitamins. The purpose of the study was to determine the application of cow dung bokashi fertilizer and liquid organic fertilizer for household waste and its interaction with the growth and production of cucumber plants. This research method uses a Factorial Randomized Group Design (RAK), which consists of 2 (two) factors. The first factor is the application of cow dung bokashi fertilizer which is divided into 4 levels, namely S0 = 0.00 kg/plot (control), S1 = 2.16 kg/plot S2 = 4.32 kg/plot, and S3 = 6.48 kg/plot. The second factor is that liquid organic fertilizer household waste is divided into 4 levels, namely L0 = 0 cc/liter of water/plant (control), L1 = 100 cc/plant, L2 = 200 cc/plant, and L3 = 300 cc/plant. The parameters observed are plant length (cm), number of fruits per sample (fruit), number of fruits per plot (fruit), fruit diameter (cm), fruit length per plot (cm), fruit weight per sample (grams) and fruit weight per plot (grams). From the results of statistical analysis, it shows that the application of cow dung bokashi fertilizer and liquid organic fertilizer from household waste does not affect plant length (cm), but has an influence on the number of fruits per sample (fruit), the number of fruits per plot (fruit), the diameter of the fruit (cm), the length of the fruit per plot (cm) the weight of the fruit per sample (grams, and the weight of the fruit per plot (grams). The interaction of the treatment of applying organic fertilizer bokashi cow dung and liquid organic fertilizer household waste has no effect on plant length (cm), number of fruits per sample (fruit), number of fruits per plot (fruit), fruit diameter (cm), fruit length per plot (cm), fruit weight per sample (grams) and fruit weight per plot (grams)
RESPONSE TO APPLYING COW DUNG BOKASHI FERTILIZER AND LIQUID ORGANIC FERTILIZER HOUSEHOLD WASTE TOWARD GROWTH AND PRODUCTION CUCUMBER PLANTS (Cucumi sativus L.) Yudi Siswanto; Annisa Anggreini Siswanto
Journal of Engineering, Electrical and Informatics Vol. 2 No. 3 (2022): Oktober: Journal of Engineering, Electrical and Informatics:
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jeei.v2i3.871

Abstract

Cucumber (Cucumis sativus L.) has a very high economic value because cucumbers are widely consumed by people, so the need for cucumbers continues to increase every year. The nutritional value of cucumbers is quite good because this vegetable or fruit is a source of minerals and vitamins. The purpose of the study was to determine the application of cow dung bokashi fertilizer and liquid organic fertilizer for household waste and its interaction with the growth and production of cucumber plants. This research method uses a Factorial Randomized Group Design (RAK), which consists of 2 (two) factors. The first factor is the application of cow dung bokashi fertilizer which is divided into 4 levels, namely S0 = 0.00 kg/plot (control), S1 = 2.16 kg/plot S2 = 4.32 kg/plot, and S3 = 6.48 kg/plot. The second factor is that liquid organic fertilizer household waste is divided into 4 levels, namely L0 = 0 cc/liter of water/plant (control), L1 = 100 cc/plant, L2 = 200 cc/plant, and L3 = 300 cc/plant. The parameters observed are plant length (cm), number of fruits per sample (fruit), number of fruits per plot (fruit), fruit diameter (cm), fruit length per plot (cm), fruit weight per sample (grams) and fruit weight per plot (grams). From the results of statistical analysis, it shows that the application of cow dung bokashi fertilizer and liquid organic fertilizer from household waste does not affect plant length (cm), but has an influence on the number of fruits per sample (fruit), the number of fruits per plot (fruit), the diameter of the fruit (cm), the length of the fruit per plot (cm) the weight of the fruit per sample (grams, and the weight of the fruit per plot (grams). The interaction of the treatment of applying organic fertilizer bokashi cow dung and liquid organic fertilizer household waste has no effect on plant length (cm), number of fruits per sample (fruit), number of fruits per plot (fruit), fruit diameter (cm), fruit length per plot (cm), fruit weight per sample (grams) and fruit weight per plot (grams)
ANALISIS KURVA PHILLIPS DI INDONESIA Tanjung, Ahmad Albar; Annisa Anggreini Siswanto
Media Ekonomi Vol. 30 No. 1 (2022): April
Publisher : Lembaga Penerbit Fakultas Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25105/me.v30i1.10066

Abstract

This research aims to investigate whether the relationship between unemployment and inflation in Indonesia is by the Phillips curve theory. This research is quantitative. The estimation method used is ECM Two-Step Engle-Granger. in the long term, it is estimated using Ordinary Least Square (OLS), while in the short term it is estimated using the Error Correction Model (ECM). The cointegration test uses the Engle-Granger cointegration test. The data used are secondary level data, wage rate data as a proxy for inflation, and unemployment rates from 1991-2020 obtained from the world bank. The findings of this study are that in the short term, the unemployment rate is negatively related to inflation but is not significant, meaning that a trade-off between the unemployment rate and inflation occurs but the effect is not significant. In other words, in Indonesia, the relationship between the unemployment rate and inflation follows the Phillips Curve theory, but in the long run, there is a positive relationship between the unemployment rate and inflation but it is not significant.