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Transformasi struktural dan ketimpangan antar daerah di provinsi kalimantan timur Kartiasih, Fitri
INOVASI Vol 15, No 1 (2019)
Publisher : Faculty of Economics and Business Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (416.373 KB) | DOI: 10.29264/jinv.v15i1.5201

Abstract

Tingginya ketimpangan pendapatan mengindikasikan tidak meratanya pembangunan terutama dalam bidang ekonomi di Indonesia. Kalimantan Timur adalah contoh provinsi yang mengalami growth without development: pertumbuhan ekonomi daerah memang terjadi namun pembangunan tidak dinikmati oleh sebagian besar rakyat Kalimantan Timur (Mubyarto, 2005). Hal ini dapat dilihat dari indeks eksploitasi dan angka kemiskinan di Kalimantan Timur. Penelitian ini bertujuan untuk menganalisis transformasi struktural di Provinsi Kalimantan Timur, mengklasifikasikan kabupaten/kota menurut tingkat pertumbuhan dan pendapatan per kapitanya, menganalisis tingkat ketimpangan pendapatan antar kabupaten/kota dan mengetahui hubungan antara pendapatan perkapita dengan ketimpangan pendapatan. Penelitian ini menggunakan analisis deskriptif, Tipologi Klassen, Indeks Williamson, Indeks Theil T dan Indeks Theil L. Hasil penelitian menunjukkan bahwa struktur ekonomi Provinsi Kalimantan Timur masih bertumpu pada sektor primer dan belum terjadi transformasi struktur ekonomi. Berdasarkan Indeks Williamson, tingkat ketimpangan antar daerah di Provinsi Kalimantan Timur relatif tinggi. Berdasarkan Indeks Theil T dan Theil L, ketimpangan antar daerah lebih banyak disebabkan oleh ketimpangan dalam kelompok kabupaten (within) dibanding ketimpangan antar kelompok kabupaten penghasil migas-non penghasil migas (between). Hipotesis Kuznets berlaku atau terjadi di Provinsi Kalimantan Timur selama periode penelitian.
KAJIAN AKTIVITAS EKONOMI LUAR NEGERI INDONESIA TERHADAP PERTUMBUHAN EKONOMI INDONESIA PERIODE 1998-2014 Hawari, Ryan; Kartiasih, Fitri
MEDIA STATISTIKA Vol 9, No 2 (2016): Media Statistika
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (285.875 KB) | DOI: 10.14710/medstat.9.2.119-132

Abstract

Indonesia is a developing country which adopts an “open economic”. That caused Indonesia economic is strongly influenced by factors that come from outside of Indonesia. External factors in this research is referred to foreign debt, foreign direct investment, trade openness and exchange rate of rupiah with USD. The analytical method in this research used Vector Error Correction Model (VECM) which will focused on Impulse Response Function (IRF) and Forecast Error Variance Decomposition (FEVD). Based on result of IRF, exchange rate had a positive effect to economic growth, while foreign debt, foreign direct investment and trade openness had a negative effect to economic growth. Based on result of FEVD, shock on economic growth in Indonesia affected by economic growth itself (43.21%), followed by foreign debt (26.30%), trade openness (14.16%), foreign direct investment (8.29%) and exchange rate (8.04%) Keywords: economic growth, trade openness, VECM, IRF, FEVD
Contagion Effect Krisis Argentina dan Turki ke Negara-Negara Asia, Benarkah Terjadi? Setiawan, Adi; Kartiasih, Fitri
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 21, No. 1
Publisher : UI Scholars Hub

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Abstract

This study aims to examine the contagion effect of the Argentinian and Turkish crises to Asian countries using the DCC-MGARCH model. The data used is the daily closing price index of the stock index obtained from Thomson Reuters DataStream covering form the period of January 2, 2014 to May 17, 2019. The results showed that the contagion effect of the Argentinian crisis occurred in Malaysia, Korea, Thailand and the Philippines, while Indonesia, Singapore, India and China are only interdependence. The pure contagion test results also show that the contagion effect of the Turkish crisis occurred in Indonesia, Malaysia, the Philippines, Thailand, India, and China, while Singapore and Korea only interdependence with the Turkish market.
Analisis Ekspor Kakao Olahan Indonesia ke Sembilan Negara Tujuan Tahun 2000–2014 Maulana, Arif; Kartiasih, Fitri
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 17, No. 2
Publisher : UI Scholars Hub

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Abstract

The objectives of this article is to analyze the competitiveness of Indonesias processed cocoa export to nine destination countries and to investigate the determinants of export volumes of Indonesias cocoa. Two analysis is conducted using revealed comparative advantage (RCA) and panel data regression. The result indicates that Indonesian processed cocoa has a high comparative advantage in Spain, while in Singapore has a comparative advantage at worst. The panel data regression estimates showed that GDP, population, RCA, and tax policy was statistically significant and had positive effect to cocoa export volumes but the price of processed cocoa had negative effect.
Determinan Intensitas Energi di Indonesia Kartiasih, Fitri; Syaukat, Yusman; Anggraeni, Lukytawati
Jurnal Ekonomi dan Pembangunan Indonesia Vol. 12, No. 2
Publisher : UI Scholars Hub

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Abstract

This study contributes to the existing literature by examining energy consumption, energy intensity and its determinants in Indonesia's aggregate and sectoral economy. Index Ideal Fisher uses to decompose two key determinants of changes in energy intensity - efficiency improvements and changes in economic activity - to analyze which determinant is more important in driving improvements in energy intensity. VAR/VECM analysis is used to determine which economic variables affect the aggregate intensity. The study found that energy intensity increased gradually. The main contributing factor in the national level is the changes in economic activity, while in the sectoral level is efficiency effect.
The Effect of E-Commerce on Gross Regional Domestic Product and Clustering of Its Characteristics by Utilizing Official Statistics and Big Data Pramesthy, Widhelia Echa; Dini, Putri Muthi’ah; Budiman, Muhammad Amirul; Esharja, Zul Ahmad; Kartiasih, Fitri
Journal of Economics, Business, and Accountancy Ventura Vol. 27 No. 1 (2024): April - July 2024
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v27i1.4136

Abstract

The objective of this study is to examine the impact of e-commerce on Gross Regional Domestic Product (GRDP) and categorize GRDP according to e-commerce features in 17 provinces throughout Java, Sumatra, and Bali. The Human Development Index (HDI), which measures people's proficiency with technology—among which is e-commerce—is greatest on these three islands. This study makes use of big data in the form of Google Trends data as well as official statistics data obtained from the BPS-Statistics Indonesia. K-means clustering and regression analysis are the research methods employed. The study's findings demonstrate that the three islands' GDP growth rates are considerably accelerated by e-commerce companies. There were two ideal clusters identified: the low and high GRDP clusters. All of the provinces on the island of Java are included in the high cluster, with the exception of Central Java, which is distinguished by high transaction values and e-commerce-related keyword searches. Provinces in the low cluster are located on the Indonesian islands of Sumatra and Bali, and they are distinguished by the usage of Cash on Delivery (COD) and a limited number of employees in e-commerce businesses.
The Impact of General Elections on Stock Market Volatility in Indonesia (2004–2023) Hamdani, Hamdani; Elvaretta , Katrina Lavenia; Wardani , Marshela Alya Kusuma; Kartiasih, Fitri
JPPUMA: Jurnal Ilmu Pemerintahan dan Sosial Politik UMA (Journal of Governance and Political UMA) Vol. 12 No. 1 (2024): JPPUMA: Jurnal Ilmu Pemerintahan dan Sosial Politik UMA (Journal of Governance
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jppuma.v12i1.11126

Abstract

Elections are events that play an important role in the economic aspects of a country. Elections create uncertainty and potentially affect investor sentiment, causing fluctuations in Indonesian stock prices. A few months before the election, stock prices in Indonesia showed a significant increase in the Indonesia Composite Stock Price Index (IHSG). This occurs due to an increase in purchasing power for campaign needs and an increase in the government budget. The ARCH/GARCH model is a relevant analysis instrument in looking at market volatility. This study forecasts the close value of IHSG in the election year 2024 and analyzes the effect of elections on stock price volatility in Indonesia. This research resulted in the best model is GARCH (1,1) with RMSE 604.74, MAE 484.27, and MAPE 13.37. The forecasting results from November 23, 2023 - February 29, 2023 tend to increase, the average increase is 0.097%, the biggest increase from the end of November to the beginning of the first week of December 2023 by 0.229%. The relationship between IHSG value and political month is positive. The regression equation shows the IHSG value in months containing political events is 743,53 greater than in non-political months.
Forecasting the Air Quality Index by Utilizing Several Meteorological Factors Using the ARIMAX Method (Case Study: Central Jakarta City) Muzakki, Naufal Fadli; Putri, Azmi Zulfani; Maruli, Surya; Kartiasih, Fitri
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 8 No 3 (2024): JULY-SEPTEMBER 2024
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v8i3.2012

Abstract

Today's society really pays attention to air quality because the impact of exposure to pollutants in the air is starting to be felt. PM 2.5 pollutants are very dangerous because their small size can penetrate the alveoli of human lungs. The value calculation of the Air Quality Index (AQI) is important to prepare mitigation and defensive measures to reduce the negative impact of air quality and as a basis for future policymaking. Several method comparisons have been carried out by researchers to predict AQI. However, researchers have not studied much regarding the use of meteorological factors in the form of average air temperature (°C), average air humidity (percent), and average wind speed (m/s) in forecasting AQI values, even though meteorological factors have a significant link, according to previous researchers. This research forecasts AQI using the ARIMAX method, which includes meteorological factors as exogenous variables, using daily AQI PM 2.5 data in Central Jakarta. The best modeling of the data is ARIMA (1,1,1) without X and ARIMAX (1,1,1). Based on the calculation of AIC, BIC, RMSE, and MAPE values, ARIMAX (1,1,1) modeling produces better forecasting, so it can be concluded that forecasting involving meteorological factors can make forecasting more precise. Predicting AQI using ARIMAX with upcoming meteorological factors is beneficial, as precise prediction results can assist in policy-making to prevent the adverse impacts of air quality on public health. In future research, other meteorological factors could be studied and combined with other modeling besides ARIMA.
Indikator Ketenagakerjaan terhadap Kemiskinan di Indonesia Asri, Yualita Surya; Wijayanti, Sukma Kurnia; Vianey, Arsdhewani Maria; Kartiasih, Fitri
Jurnal Ekonomi : Journal of Economic Vol 14, No 02 (2023): Jurnal Ekonomi : Journal of Economic
Publisher : Lembaga Penerbitan Unversitas Esa Unggul

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47007/jeko.v14i02.7242

Abstract

This study aims to determine the situation of workers in Indonesia and analyze the factors that cause poverty in terms of employment in an effort to eradicate poverty in Indonesia. The method used is panel regression data covering 34 provinces in Indonesia in 2011–2022. The research results show that the COVID-19 pandemic has had a positive impact on poverty levels in Indonesia, as shown by the increase in the percentage of poor people (P0) during the COVID-19 pandemic period. There has been a massive reduction in the workforce due to the COVID-19 pandemic, as shown by the number of worker and the Labor Force Participation Rate, which has decreased, as well as the Open Unemployment Rate (TPT), which has increased. The Provincial Minimum Wage and the number of worker have significantly reduced poverty in Indonesia.
Pengaruh Teknologi Digital terhadap Partisipasi Perempuan dalam Angkatan Kerja di Provinsi Papua Suhaib, Aida Muthia; Kartiasih, Fitri
Jurnal Ketenagakerjaan Vol 19 No 2 (2024)
Publisher : Pusat Pengembangan Kebijakan Ketenagakerjaan Kementerian Ketenagakerjaan Republik Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47198/jnaker.v19i2.342

Abstract

The high participation rate of female in the labor force in Papua Province in 2015-2022 has not been followed by equity in each district/city. One of the targets in the Sustainable Development Goals (SDGs) is to increase women's empowerment through the use of digital or information and communication technology. The difference in ICT development conditions in Papua Province from 2015-2022 is feared to have an impact on the unequal participation of female in the labor force in each district/city. This study aims to find out the general picture of women's labor force participation and digital technology to determine the influence of digital technology on female labor force participation rate (FLFPR). The analysis approach included panel data regression analysis and descriptive analysis, and the data were secondary data taken from the BPS-Statistics Papua Province online publication. The results of the study show that digital technology (mobile phones usage, internet access, and computers usage), the average length of schooling (RLS) of women, the share of the agricultural sector in the GDP, and the average number of children have a significant effect on increasing FLFPR, while the GDP per capita is not significant. Therefore, it is necessary to improve and equitably distribute access and digital infrastructure as well as the ability to use it, especially for women.
Co-Authors A'mal, Ikhlasul Abioga, Naufal Raffie Achmad Noerkhaerin Putra Addaruqutni, Adnan Dahiya Aditya, Randy Daffa Agustina, Serly Aini, Mifrotun Akhmad, Afied Albab, Muhammad Hafiz Amalia Isti Widiyasari Amalia, Mutiara Friska Aprianto, Stenislaus Angga Arif Maulana, Arif Arif Rahman Hakim Arini, Rechtiana Putri Arisanti, Rohimma Arnanda, Feza Raffa Asri, Yualita Surya Atmaja, Anugerah Surya Audina, Resda Aninditya Aurellia, Nur Aisya Aysyah, Putri Azhari Azhari Azmi, Annisa Nurul Belantika, Bernica Tiyas Budiman, Muhammad Amirul Cahyarani, Arista Ika Camalia, Nur Dina Dini, Putri Muthi’ah Dyah Widyastuti Dzunnurain, Zena Azzahra Elvaretta , Katrina Lavenia Erviana, Rissa Esharja, Zul Ahmad Fauzan, Fardhi Dzakwan Fitriyyah, Nur Retno Gayatri, Tayasi Ditoresmi Habibi, Hasan Bahtiar Hafiz, Muhammad Sultan Hamdani Hamdani Hardinata, Rizki Harum, Nisrina Sekar Hasanah, Lailatul Hasibuan, Sri Rahayu Hasna, Nisa Fatharani Herindra, Tsabit Bintang Hermawan, Kadek Dody Kusuma Hidayat, Anang Kurnia Hilal, Yanuar Nurul Holyness Nurdin Singadimedja Husain, Farah Fadhilah Hutabarat, Josephin Pirdinansius Ishak, Rani Mardiyah Ismail, Ghaffar Jamaluddin, Halim Nur Jannah, Nazwa Thoriqul Junianto, Raihan Rahmanda Kamal, Firhand Yusuf Khasanah, Alif Fitriatul Khotibul Umam Kurniawati, Reny Dyah Kuswardani, Rakaninda Indah Laksmana Putri, Calivi Kezia Latifa, Afina Lesmana, Faqih Indra Lubis, Adrian Kesar Pratama Lukman, Raif Maulana Lukytawati Anggraeni Luthfia, Nisrina Maharani, Rafaela Suryadiva Indira Mahardika, Mayza Hanif Abbad Maruli, Surya Mauboy, Lourna Mariska Maulana, Arswenda Putra Miswa, Sabrina Do Mumtazah, Soraya Afkarina Muzakki, Naufal Fadli Nainggolan, Gibson Daniel Andrianto Nasir, Andi Ardiansyah Nurfayza, Fairuz Azizah Nurhayati, Saniyyah Sri Oktaviana, Lisda Oktaviana, Siska Wahyu Oktaviani, Anisa Nur Pamungkas, Khrisna Aji Perangin-Angin, Elgresia Egita Br Pertiwi, Intan Puspaning Prakoso, Nurihisha Nadya Putri Pramesthy, Widhelia Echa Prasetyo, Rokhmirati Prasojo, Naufal Anhar Pratiwi Pratiwi Prayoga, Suhendra Widi Primadani, Avelia Deavy Putri Yunardi, Nabila Fatma Putri, Ananda Rania Putri, Azmi Zulfani Putri, Hala Mutiara Putri, Khuzaimah Putri, Natasya Yunita Putri, Nimas Ayu Eka Putri, Syofmarlianisyah Rahma, Hanny Nur Rahma, Suci Fadhila Rahmadani, Alif Hidayah Nur Rahmanto, Karina Cindy Rahmawati, Iftina Ika Rajagukguk, Marlon Brando Ramadanty, Shashella Zelicha Ramadhan, Arfian Kurniawan Ramadhani, Anindita Ayu Ramadian.M, Vivi Adelia Randa, Abigail Brenda Pasorong Rayhan, Dhymas Adhyza Rega, Raina Revanadillaa, Daradinanti Aulia Rinangku, Rahadian Eka Bagus Indra Risxi, Muhammad Alfa Rita Yuliana Rizky Rahmadani, Rizky Rohmat, Erwin Agung Nur Rosanti, Hanifah Putri Ryan Hawari, Ryan Sabillah, Hanif Sabrina, Rizka Sagita, Fauzan Faris Samosir, Cecilia Putri Dianti Samosir, Immanuel Nicholas Fransepta Sandi, Imella Mendita Sari, Linda Monica Sari, Mutiara Indryan Sepbrina Br Lumban Gaol, Ruth Natasya Setiawan, Kevin Rizkika Shabrina, Amara Putri Siahaan, Rio Manuppak Sibagariang, Fahri Azis Simamora, Kevin Simamora, Patrick Noel Siregar, Arsyka Laila Oktalia Siregar, Tiara Khorijah Hamid Sofa, Wahyuni Andriana Suhaib, Aida Muthia Suhendi, Brigitta Aurelia Putri Syahputri, Sabilla Hamda Syifa, Umu Arifatul Taridipa, Fitrisia Umami, Bafinatul Utami, Maulidya Fan Ghul Udzan Vianey, Arsdhewani Maria Wahyuni, Ribut Nurul Tri Wardana, Ardian Putra Wardani , Marshela Alya Kusuma Widiyasari, Amalia Isti Widyarta, I Kadek Purna Wijayanti, Sukma Kurnia Wilda, Marchadha Santi Yuliana, Niken Yusman Syaukat Zajidah, Annisa Muthi Zega, Alvandi Syukur Rahmat Zhafarina, Nadaa