JEPI Jurnal Ekonomi dan Pembangunan Indonesia最新文献_第8页

Analisis Kemiskinan Multidimensi dan Ketahanan Pangan Provinsi Kalimantan Utara 对加里曼丹省多维贫困和粮食安全的分析

JEPI Jurnal Ekonomi dan Pembangunan Indonesia Pub Date : 2022-01-01 DOI: 10.21002/jepi.2022.05

Nurin Ainistikmalia, Bayu Kharisma, B. Budiono

引用次数: 1

Peluang Wanita Bekerja Keluar dari Pasar Tenaga Kerja Setelah Menikah 妇女婚后在劳动力市场工作的机会

JEPI Jurnal Ekonomi dan Pembangunan Indonesia Pub Date : 2022-01-01 DOI: 10.21002/jepi.2022.08

Isra Yeni, Joan Marta, Doni Satria, Melti Roza Adry, Dewi Zaini Putri, Yollit Permata Sari, Urmatul Uska Akbar, H. Putra

引用次数: 0

Sustainable Farming: Respons Petani Tanaman Pangan terhadap Kepemilikan Lahan Pertanian 可持续农场:农民对农场所有权的反应

JEPI Jurnal Ekonomi dan Pembangunan Indonesia Pub Date : 2022-01-01 DOI: 10.21002/jepi.2022.04

Anik Pratiwi, J. P. Moeis

引用次数: 2

Tourism Resilience Process During Pandemic with Big Data Insight 基于大数据的旅游韧性过程研究

JEPI Jurnal Ekonomi dan Pembangunan Indonesia Pub Date : 2021-12-31 DOI: 10.52813/jei.v10i3.184

Dede Yoga Paramartha, Nensi Fitria Deli, A. Fitriyani, S. Pramana

{"title":"Tourism Resilience Process During Pandemic with Big Data Insight","authors":"Dede Yoga Paramartha, Nensi Fitria Deli, A. Fitriyani, S. Pramana","doi":"10.52813/jei.v10i3.184","DOIUrl":"https://doi.org/10.52813/jei.v10i3.184","url":null,"abstract":"Tourism, which is one of the pillars of the Indonesian economy, has experienced a shock due to the COVID-19 pandemic. This study aims to identify tourism resilience and its relation to the Indonesian economy during the pandemic. Subsequent to this, this study also investigates the competitiveness of tourism in responding to government policies regarding the five national tourism priorities. Descriptive analysis of data sourced from big data is used to support the analysis of tourism resilience in terms of accommodation and accessibility. In addition, Principal Component Analysis is used to build the tourism competitiveness measure of the five priority tourism destinations. The results showed that big data proxy indicators related to tourism generally show recovery signals in the new normal period, even though it hasn’t returned to its pre-pandemic condition and slightly decreased in early 2021. The improvement in this sector was mostly driven by domestic tourist. In terms of the economy, the added value of tourism has decreased considerably during 2020. In addition, based on the measure of tourism competitiveness, Central Java and North Sumatra are provinces that have good support systems for priority tourist destinations in their respective regions.","PeriodicalId":32634,"journal":{"name":"JEPI Jurnal Ekonomi dan Pembangunan Indonesia","volume":"65 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85775400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MEMPREDIKSI GEJOLAK PERBANKAN DI INDONESIA DENGAN PENDEKATAN MARKOV SWITCHING VAR 用马尔科夫转换变量方法预测印尼银行动荡

JEPI Jurnal Ekonomi dan Pembangunan Indonesia Pub Date : 2021-12-31 DOI: 10.14203/jep.29.2.2021.93-112

A. S. Rusydiana, Irfan Nurfalah, Nisfu Laila

{"title":"MEMPREDIKSI GEJOLAK PERBANKAN DI INDONESIA DENGAN PENDEKATAN MARKOV SWITCHING VAR","authors":"A. S. Rusydiana, Irfan Nurfalah, Nisfu Laila","doi":"10.14203/jep.29.2.2021.93-112","DOIUrl":"https://doi.org/10.14203/jep.29.2.2021.93-112","url":null,"abstract":"Penelitian ini bertujuan untuk mendeteksi indikator dini penyebab krisis perbankan konvensional dan perbankan syariah, mengidentifikasi periode terpanjang gejolak antara kedua perbankan serta membandingkan stabilitas antara keduanya. Metode yang digunakan yaitu pendekatan Markov Switching Vector Autoregressive (MS-VAR), dimana kelebihan pendekatan ini adalah nilai batas indeks krisis (threshold) merupakan variabel endogenous dengan kata lain periode distress dan lamanya gejolak merupakan bagian dari hasil estimasi. Leading indikator mikro untuk perbankan konvensional adalah cash ratio dan leading indicator makro untuk perbankan konvensional adalah interest rate. Sedangkan leading indikator mikro untuk perbankan syariah yaitu bank deposit dan cash ratio serta leading indicator makro untuk perbankan syariah yaitu interest rate, inflasi, kredit domestik, money supply dan current account/gdp. Z-score perbankan konvensional lebih tinggi (10.98) dari Z-score perbankan syariah (9.93) artinya secara umum perbankan konvensional lebih stabil dari perbankan syariah. Namun periode gejolak dialami perbankan konvensional yaitu sekitar Oktober 2014 – Januari 2016 sedangkan periode gejolak perbankan syariah sekitar Januari 2008 – Desember 2008.","PeriodicalId":32634,"journal":{"name":"JEPI Jurnal Ekonomi dan Pembangunan Indonesia","volume":"12 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77114024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

THE PERSISTENT EFFECTS OF COVID-19 ON THE ECONOMY AND FISCAL CAPACITY OF INDONESIA COVID-19对印度尼西亚经济和财政能力的持续影响

JEPI Jurnal Ekonomi dan Pembangunan Indonesia Pub Date : 2021-12-31 DOI: 10.14203/jep.29.2.2021.113-130

Heru Iswahyudi

引用次数: 6

APAKAH RELIGIUSITAS KEISLAMAN MEMPENGARUHI KETIMPANGAN PENDAPATAN? BUKTI DATA PANEL DARI PROVINSI ACEH 宗教虔诚是否影响收入不平等?亚齐省的证据数据小组

JEPI Jurnal Ekonomi dan Pembangunan Indonesia Pub Date : 2021-12-31 DOI: 10.14203/jep.29.2.2021.147-166

Khairul Amri, A. Adi

引用次数: 2

The Impact of Globalization, Inequality, and Financial Sector Policies During the Pandemic in Indonesia 全球化、不平等和金融部门政策在印度尼西亚大流行期间的影响

JEPI Jurnal Ekonomi dan Pembangunan Indonesia Pub Date : 2021-12-31 DOI: 10.52813/jei.v10i3.175

R. Prasetyowati

{"title":"The Impact of Globalization, Inequality, and Financial Sector Policies During the Pandemic in Indonesia","authors":"R. Prasetyowati","doi":"10.52813/jei.v10i3.175","DOIUrl":"https://doi.org/10.52813/jei.v10i3.175","url":null,"abstract":"This study aims to examine the effects of economic globalization, income inequality, and financial sector policies using Indonesian macroeconomic variables. This study uses monthly time series data from 2010 to March 2021, when the Covid19 pandemic occurred and cross section data on 12 macroeconomic variables. The test uses a simultaneous equation with the 2SLS and AB-GMM methods to perform a regression test on the sample. The results show that there is evidence that 10 macroeconomic variables statistically predict Indonesia’s financial sector policies significantly. Second, by using the variables that have been determined previously in the equations shown on the endogenous variables, it found that the level of inequality and financial sector policies does not influence that economic globalization. Similarly, financial sector policies not affected by the level of inequality. On the other hand, economic globalization affects financial sector policies negatively and significantly. Economic globalization also affects the level of inequality negatively andsignificantly. Meanwhile, financial sector policies have a positive and significant impact on the level of inequality. This means that even though there is a pandemic during the observation period, financial sector policies will continue to run according to circumstances and tend to be repressed. This is because in the face of globalization and income inequality in the midst of the pandemic, there has been a liberalization of the government through repressive financial sector policies.","PeriodicalId":32634,"journal":{"name":"JEPI Jurnal Ekonomi dan Pembangunan Indonesia","volume":"11 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80590001","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

DATA MINING USING CRISP-DM PROCESS FRAMEWORK ON OFFICIAL STATISTICS: A CASE STUDY OF EAST JAVA PROVINCE 使用crisp-dm流程框架对官方统计数据进行数据挖掘:以东爪哇省为例

JEPI Jurnal Ekonomi dan Pembangunan Indonesia Pub Date : 2021-12-31 DOI: 10.14203/jep.29.2.2021.183-198

Gunawan Gunawan

{"title":"DATA MINING USING CRISP-DM PROCESS FRAMEWORK ON OFFICIAL STATISTICS: A CASE STUDY OF EAST JAVA PROVINCE","authors":"Gunawan Gunawan","doi":"10.14203/jep.29.2.2021.183-198","DOIUrl":"https://doi.org/10.14203/jep.29.2.2021.183-198","url":null,"abstract":"Data mining on official statistics becomes a study interest, as it offers an opportunity to reveal hidden patterns within the data. This study investigates the data mining process's appropriateness using the CRISP-DM method to a secondary-quantitative data analysis and to investigate hidden information revealed from data mining on official statistics. Data is collected from the East Java BPS website, and the unit of analysis is regency/municipality. Five macro development indicators (Human Development Index, Gross Regional Domestic Products, poverty rate, Gini Ratio, open unemployment rate) are selected as analysis variables. Workflows of data analysis are designed using Knime software. This study shows the usefulness of the CRISP-DM method for secondary research because it specifies standardized stages for analyzing secondary data and improves the secondary analysis rigor. Furthermore, the clustering technique classifies regencies/municipalities into three clusters. One of the clusters has desirable indicator levels: high Human Development Index - high Gross Regional Domestic Products - low poverty rate, together with undesirable ones: high Gini Ratio - high open unemployment rate. This result indicates that a regency/municipality might not achieve an ideal condition of the five macro development indicators. Some indicators such as the open unemployment rate might be an inevitable impact. This research adds to the literature on development economics studies, particularly on the application of data mining, the CRISP-DM method, and Knime software to official statistics. ","PeriodicalId":32634,"journal":{"name":"JEPI Jurnal Ekonomi dan Pembangunan Indonesia","volume":"190 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77240291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

DETERMINAN TINGKAT PENGANGGURAN DI PROVINSI BANTEN DAN ALTERNATIF KEBIJAKANNYA 班腾省的失业率以及其政策的替代方案

JEPI Jurnal Ekonomi dan Pembangunan Indonesia Pub Date : 2021-12-31 DOI: 10.14203/jep.29.2.2021.131-146

Muhammad Ernanda, M. P. Hutagaol, Zulva Azijah

{"title":"DETERMINAN TINGKAT PENGANGGURAN DI PROVINSI BANTEN DAN ALTERNATIF KEBIJAKANNYA","authors":"Muhammad Ernanda, M. P. Hutagaol, Zulva Azijah","doi":"10.14203/jep.29.2.2021.131-146","DOIUrl":"https://doi.org/10.14203/jep.29.2.2021.131-146","url":null,"abstract":"Penelitian ini bertujuan untuk menemukan dan memahami akar masalah dari tingginya tingkat pengangguran, serta merumuskan alternatif kebijakan yang perlu dilakukan oleh pemerintah terkait untuk memfasilitasi penurunan pengangguran di Provinsi Banten. Dengan memakai data sekunder periode waktu 2010-2019 yang didapatkan dari BPS, digunakan metode berupa analisis deskriptif dan analisis kuantitatif menggunakan persamaan regresi data panel dengan pendekatan Fixed Effect Model (FEM). Hasil penelitian ini menunjukkan hanya variabel PDRB sektor industri yang berpengaruh signifikan dalam menurunkan pengangguran, sedangkan variabel PDRB sektor pertanian, migrasi masuk, dan share tenaga kerja sektor industri menyebabkan kenaikan pengangguran secara signifikan. Sementara itu, variabel upah minimum, pertumbuhan ekonomi, dan share tenaga kerja sektor pertanian tidak berpengaruh terhadap tingkat pengangguran di Banten. Alternatif kebijakan yang dapat dilakukan untuk mengatasi masalah pengangguran di Banten yaitu: pengembangan industri pengolahan padat karya berbasis insentif di wilayah utara, pembangunan sektor pertanian berbasis teknologi dan infrastruktur di wilayah selatan, dan penciptaan lapangan kerja melalui pembangunan sektor informal.","PeriodicalId":32634,"journal":{"name":"JEPI Jurnal Ekonomi dan Pembangunan Indonesia","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73509745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1