ANALISIS REGRESI LINEAR BERGANDA UNTUK MEMPREDIKSI VOLUME IMPOR GANDUM DI INDONESIA

2021

The purpose of this study was to analyze the effect of per capita consumption, household consumption, feed industry consumption, and corn production on the amount of maize imports in Indonesia in 2009-2018, either simultaneously or partially. This research is a quantitative research. The study was conducted from September to November 2020. This study used secondary data, namely data on consumption per capita, household, feed industry, production, and the number of imports of maize in Indonesia in 2009-2018. These data were obtained from the Center for Data and Agricultural Systems of the Ministry of Agriculture, the Central Bureau of Statistics, and literature sources / publications related to the research topic. The data analysis techniques used were normality test, classic assumption test consisting of heteroscedasticity test and autocorrelation test, multiple linear regression analysis, and hypothesis testing consisting of simultaneous F test, coefficient of determination (R²), and partial t test. The results showed that (1) Consumption per capita, household, feed industry, and corn production simultaneously did not have a significant effect on the amount of maize imports in Indonesia in 2009-2018. This is evidenced by the significance value in the simultaneous F test results of 0.102, where the significance value is greater than 0.05. (2) Partially per capita consumption has no significant effect on the total imports of maize in Indonesia in 2009-2018. This is evidenced by the significance value of the partial t test results of 0.172, where the significance value is greater than 0.05. (3) Partially household consumption does not have a significant effect on the total imports of maize in Indonesia in 2009-2018. This is evidenced by the significance value of the partial t test results of 0.550, where the significance value is greater than 0.05. (4) Partially, the consumption of the feed industry does not have a significant effect on the amount of maize imports in Indonesia in 2009-2018. This is evidenced by the significance value of the partial t test results of 0.506, where the significance value is greater than 0.05. (5) Partially maize production does not have a significant effect on the amount of maize imports in Indonesia in 2009-2018. This is evidenced by the significance value of the partial t test results of 0.207, where the significance value is greater than 0.05.

Pengeluaran untuk impor pada tahun 1984 baru bernilai US$ 13.882,1 ribu. Namun dua puluh delapan tahun kemudian meningkat sekitar empat kali lebih tinggi yaitu senilai US$ 96.408,5 ribu. Dalam 2 dasawarsa terakhir kenaikan rata rata pengeluaran impor Indonesia untuk tahun 1991-2000 sebesar 6.35 persen kemudian pada dasawarsa selanjutnya 2001-2010 meningkat sebesar 9.48 persen.

Analisis regresi linier berganda adalah hubungan secara linear antara dua atau lebih variabel independen (X 1 , X 2 ,….X n) dengan variabel dependen (Y). Analisis ini untuk mengetahui arah hubungan antara variabel independen dengan variabel dependen apakah masing-masing variabel independen berhubungan positif atau negatif dan untuk memprediksi nilai dari variabel dependen apabila nilai variabel independen mengalami kenaikan atau penurunan. Data yang digunakan biasanya berskala interval atau rasio. Persamaan regresi linear berganda sebagai berikut: Y' = a + b 1 X 1 + b 2 X 2 +…..+ b n X n

UMY, 2013

The study aims to examine the empirical validity of the Linder hypothesis for Indonesia’s import for manufacture intra-industry commodity from seven member of ASEAN plus three (Singapore, Malaysia, Thailand, Philippines, Japan, South Korea, and China). This study uses balance panel data model with fixed effect approach. Panel data model with fixed effect approach can control for country specific individual effect. The result implies that Indonesia import more intensively with countries with high per capita income levels, which rejects the Linder hypothesis.

DI INDONESIA STATISTIK BISNIS OLEH: SYERLI LIM 1811117 DOSEN PEMBIMBING: NICHOLAS RENALDO, SE, MM PROGRAM STUDI STRATA 1 (S1) AKUNTANSI INSTITUT BISNIS DAN TEKNOLOGI PELITA INDONESIA PEKANBARU 2019

In Indonesia the number of labor force showed an increasing rate over a period of 27 years ie from 1980 to 2007. Unfortunately, the increase in total labor force was not accompanied by the expansion of employment or production capacity, as a result the number of unemployed also increased along with increase in total labor force. The number of unemployed is a very serious problem and the potential effects on the country, because the number of unemployment is an indicator of the economic advancement of a country that can show the level of the equitable distribution of income or not in the country.

Jurnal Ilmu Tanah dan Lingkungan, 2016

Cianjur had 33 times occurence landslides during 2002-2007. The objectives of this study were: (i) to identify the main cause of landslide hazard; and (ii) to analyze the landslide hazard areas in Cianjur. Analysis methods to identify the main cause of landslide hazard were based on binary logistic regression and normalization. Based on binary logistic regression and normalization result, rainfall is the main cause of landslide hazard in this study area. This was showed by the highest coeficient value of rainfall at the 3 equation (0.542 by using SPSS, 0.920 by using Idrisi, and 0.29 by using normalization). Positive coeficient value means that the occurence of landslide mainly influenced by the highest class of rainfall. The three of landslide hazard map resulted from different method showed different location with moderate to very high level hazard. Hazard map of binary logistic regression using SPSS showed that the moderate to very high level hazard were found in north west and southeast part of Cianjur. Hazard map using binary logistic regression on Idrisi showed that the moderate to very high level hazard were found in middle and north part of Cianjur. Hazard map using normalization method showed the domination of moderate level hazard which was spread through all subdistricts in Cianjur. The landslide hazard map of binary logistic regression on Idrisi was better than two other maps, indicated by highest determinant coefficient value which is 0.980.

Jurnal Isu Teknologi, 2017

The growth of population is directly proportional to the growth of motor vehicle users both two-wheeled vehicles and four-wheeled vehicles. The thing that is certain is the emergence of congestion problems because the growth rate of vehicles is not matched by the growth of the road lane, so it takes a solution to handle it. Our analysis is to take a sample of one of the crossroads in the city of Bandung which is relatively solid and prone to congestion. The criteria for hazard-prone roads are known by many vehicles passing within a certain time frame. In this research we use linear regression algorithm commonly used to predict things based on previously collected data. So with someone already know the density pattern of a road segment, it will provide information for a person to take a decision whether to avoid the road and look for alternative ways or keep using the path because the travel time has been calculated before. Abstrak Pertumbuhan jumlah penduduk berbanding lurus dengan pertumbuhan pengguna kendaraan bermotor baik kendaraan roda dua maupun kendaraan roda empat. Hal yang sudah pasti adalah timbulnya permasalahan kemacetan karena laju pertumbuhan kendaraan tidak diimbangi dengan pertumbuhan lajur jalan , sehingga diperlukan suatu solusi untuk menanganinya. Analisa yang kami lakukan adalah dengan mengambil sample salah satu perempatan jalan di kota Bandung yang memang relative padat dan rawan kemacetan. Kriteria jalan rawan macet diketahui berdasarkan banyak kendaraan yang melintas dalam rentang waktu tertentu. Pada penelitian ini kami menggunakan Algoritma linear regression yang biasa digunakan untuk memprediksi sesuatu hal berdasarkan data yang sebelumnya sudah dihimpun. Sehingga dengan seseorang telah mengetahui pola kepadatan suatu ruas jalan , maka akan memberikan informasi bagi seseorang untuk mengambil sebuah keputusan apakah menghindari jalan tersebut dan mencari jalan alternative atau tetap menngunakan jalur tersebut karena waktu tempuh sudah diperhitungkan sebelumnya.

2020

Beras adalah salah satu dari komoditas pangan utama Indonesia. Pemenuhan kebutuhan beras merupakan tanggung jawab pemerintah, produksi beras Indonesia selalu lebih besar dibandingkan konsumsinya namun pemerintah selalu melakukan kebijakan impor beras, yang menyebabkan pemerintah terlalu bergantung pada kebijakan impor beras. Penelitian ini menggunakan metode deskriptif kuantitatif dan untuk menganalisis tingkat ketergantungan impor beras dengan menggunakan ISP, IDR dan SSR periode 1992-2017. Hasil penelitian menunjukkan tingkat ketergantungan impor beras di Indonesia yang ditunjukkan dengan nilai IDR rata-rata sebesar 3,5% pertahun, sedangkan nilai ISP indonesia rata-rata -0,9 pertahunnya yang mengindikasikan Indonesia berada pada tahap awal untuk produk beras sehingga daya saing produk beras Indonesia sangat lemah dan Indonesia merupakan negara pengimpor beras. Produksi beras Indonesia sudah cukup baik dilihat dari nilai SSR rata-rata sebesar 96,6% pertahun artinya hampir keseluruh...