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All Journal Jurnal Hortikultura Indonesia (JHI) Jurnal Ilmu dan Teknologi Kelautan Tropis Signifikan : Jurnal Ilmu Ekonomi E-Jurnal Ekonomi Sumberdaya dan Lingkungan Media Statistika Ekonomi Bisnis Jurnal Ekonomi : Journal of Economic Journal of Economics, Business, & Accountancy Ventura Equilibrium JURNAL EKONOMI DAN BISNIS AIRLANGGA Quantitative Economics Journal JIET (Jurnal Ilmu Ekonomi Terapan) JDE (Journal of Developing Economies) Agricore: Jurnal Agribisnis dan Sosial Ekonomi Pertanian Unpad Jurnal Ilmiah Ekonomi dan Bisnis Sistemasi: Jurnal Sistem Informasi JPPUMA: Jurnal Ilmu Pemerintahan dan Sosial Politik Universitas Medan Area Kinerja: Jurnal Ekonomi dan Manajemen Inovasi : Jurnal Ekonomi, Keuangan, dan Manajemen SRIWIJAYA INTERNATIONAL JOURNAL OF DYNAMIC ECONOMICS AND BUSINESS Jurnal Pertanian Agros Journal of Computer Science and Informatics Engineering (J-Cosine) EQIEN - JURNAL EKONOMI DAN BISNIS JURTEKSI Ekonomi dan Bisnis Jurnal Pendidikan Lingkungan dan Pembangunan Berkelanjutan Eksis: Jurnal Riset Ekonomi dan Bisnis EIGEN MATHEMATICS JOURNAL Jurnal Humaniora : Jurnal Ilmu Sosial, Ekonomi dan Hukum INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Perencanaan Pembangunan Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) TheJournalish: Social and Government Riset: Jurnal Aplikasi Ekonomi Akuntansi dan Bisnis Cendekia Niaga Jurnal Ekonomi Indonesia Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (JEBMA) Dynamic Management Journal Jurnal Ketenagakerjaan Jurnal Akuntansi, Manajemen, Bisnis dan Teknologi JUSTIN (Jurnal Sistem dan Teknologi Informasi) Journal of Mathematics: Theory and Applications Margin Eco : Jurnal Ekonomi dan Perkembangan Bisnis Indonesian Journal of Economics and Management Journal of Economics Research and Policy Studies Prosiding Seminar Nasional Official Statistics Jurnal Ekonomi dan Pembangunan Indonesia Efficient: Indonesian Journal of Development Economics JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah
Fitri Kartiasih
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PREDICTING THE JAPANESE YEN'S VOLATILITY IN RELATION TO THE INDONESIAN RUPIAH Akhmad, Afied; Arnanda, Feza Raffa; Sari, Linda Monica; Kuswardani, Rakaninda Indah; Kartiasih, Fitri
Jurnal Ilmiah Ekonomi Bisnis Vol 29, No 3 (2024)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/eb.2024.v29i3.10404

Abstract

Japan has experienced low inflation and continuous deflation since the economic bubble of the 1980s. Following the COVID-19 pandemic, the world was preoccupied with deflation in various countries, worsening Japan's financial condition. As a result, the Japanese currency's exchange rate could not compete with other currencies. This situation significantly affects the value of Indonesia's exports and imports, as Japan is one of the leading export destinations and a primary supplier of implications for Indonesia. The purpose of this study is to forecast the volatility of the exchange rate between the yen and the IDR for the future. The data used in this research is the buying rate variable from the yen to IDR exchange rate data from January 3, 2020, to November 27, 2023. The method used for the high-volatility data is the GARCH model. The best modeling obtained is GARCH(0,1). The forecast results provide an insight into the buying exchange rate of the yen against the IDR until the beginning of 2024.
SELECTING THE BEST MODEL FOR FORECASTING INDONESIA'S OIL AND GAS IMPORT VALUE USING ARIMAX AND ARIMAX-LSTM Zega, Alvandi Syukur Rahmat; Hidayat, Anang Kurnia; Jannah, Nazwa Thoriqul; Kartiasih, Fitri
Dynamic Management Journal Vol 8, No 4 (2024): October
Publisher : Universitas Muhammadiyah Tangerang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31000/dmj.v8i4.10776

Abstract

In order for the government to make the best policy decisions going forward, it is critical to forecast the value of oil and gas imports. This study aims to anticipate Indonesia's oil and gas import value by taking into account the independent variables of inflation, rupiah exchange rates, and global crude oil prices. The ARIMA (Autoregressive Integrated Moving Average), ARIMAX (ARIMA With Exogenous Variable), and Hybrid ARIMAX-LSTM (ARIMA With Exogenous Variable Long-Short-Term Memory) are the methods that are compared. Mean Absolute Percentage Error, or MAPE, is a tool used to compare forecasting models. The outcomes demonstrated how well ARIMAX-LSTM (0, 1, 2) predicts and forecasts the value of oil and gas imports when combined with variables for inflation and crude oil prices. According to the forecasting results, the value of imports of gas and oil increased by 3.03% between January and September of 2024 when compared to the entire import value of the year prior (Y-o-Y). Other exogenous variable addition, additional research on hyperparameter tuning, and the use of cross-validation techniques to increase prediction accuracy and provide more precise measurements of model performance are other recommendations for future investigation.
ANALISIS PREDIKSI RADIASI MATAHARI DENGAN ALGORITMA MACHINE LEARNING DAN IMPLEMENTASI BAYESIAN OPTIMIZATION DI PROVINSI DKI JAKARTA Oktaviani, Anisa Nur; Atmaja, Anugerah Surya; Putri, Khuzaimah; Aprianto, Stenislaus Angga; Kartiasih, Fitri
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 8 No. 1 (2025): MISI Januari 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/misi.v8i1.1338

Abstract

Peningkatan populasi menyebabkan peningkatan permintaan energi. Hingga saat ini, masalah terkait energi adalah sumber daya yang terbatas. Energi alternatif terbarukan dapat dimanfaatkan secara optimal di masa depan. Salah satu sumber energi terbarukan adalah energi matahari karena jumlahnya melebihi kebutuhan energi saat ini dan masa depan. Hal ini sejalan dengan target 7.2 dalam Sustainable Development Goals (SDGs) 2030, yaitu meningkatkan porsi energi terbarukan secara signifikan dalam bauran energi global. Indonesia memiliki potensi energi matahari melalui radiasi matahari. Namun, pemanfaatan potensi energi surya sebagai pembangkit listrik di Provinsi DKI Jakarta belum optimal. Penelitian ini bertujuan untuk memprediksi nilai radiasi matahari melalui Global Horizontal Irradiance (GHI) harian di DKI Jakarta menggunakan Support Vector Regression (SVR) dengan Bayesian Optimization dan membandingkannya dengan XGBoost untuk menemukan model terbaik dari hasil prediksi. Metode BO-SVR terbukti memberikan hasil prediksi yang baik dan kuat pada data yang digunakan karena MAPE dan RMSE untuk data pengujian masing-masing adalah 0,182 dan 34,412. Penerapan Bayesian Optimization dalam menentukan hiperparameter optimal dalam membentuk model prediksi telah terbukti meningkatkan kinerja model. Penelitian ini menghasilkan prediksi radiasi matahari yang memberikan informasi bagi pemerintah, khususnya PT Perusahaan Listrik Negara (PLN) dan peneliti terkait karakteristik radiasi matahari.
The Effect of Exchange Rate Volatility on Foreign Tourist Visits in Indonesia: GARCH Analysis Hafiz, Muhammad Sultan; Ismail, Ghaffar; Wilda, Marchadha Santi; Kartiasih, Fitri
Eqien - Jurnal Ekonomi dan Bisnis Vol 13 No 03 (2024): Eqien Journal Of Economics and Business
Publisher : Fakultas Ekonomi dan Bisnis Universitas Islam DR KH EZ Mutaqien

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34308/eqien.v13i03.1698

Abstract

In this era of globalization, currency exchange rates are one of the crucial factors affecting a country's economy. The exchange rate of a country's currency plays an important role in economic stability and international trade, especially in the tourism sector. This study aims to conduct an in-depth analysis to identify patterns of rupiah exchange rate volatility using the Generalized Autoregressive Conditional Heteroscedasticity (GARCH) model, and then examine whether these patterns have a significant correlation with the number of foreign tourist arrivals in Indonesia. In analyzing the data, researchers conducted several classical assumption tests, namely the normality test and the heteroscedasticity test. The test results show that the data used, namely the rupiah exchange rate data and the number of foreign tourist visits, are not normally distributed and heteroscedastic. In this case, it resulted in researchers not use the Pearson correlation test so they used the Kendall-Tau correlation test and Granger Causality test which resulted in the two variables being correlated. Furthermore, GARCH modeling is carried out which provides forecasting on both data to increase in 2024. The results of this study are expected to provide a basis for consideration for stakeholders to determine policies, especially in the financial and tourism sectors.
Unveiling the Nexus Between ICT and Inclusive Growth in West Java Province Gayatri, Tayasi Ditoresmi; Kartiasih, Fitri
Jurnal Perencanaan Pembangunan: The Indonesian Journal of Development Planning Vol. 8 No. 3 (2024): December 2024
Publisher : Ministry of National Development Planning Republic of Indonesia/Bappenas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36574/jpp.v8i3.549

Abstract

Inclusive economic development has become a concern for many countries, including Indonesia. National economic development inclusivity continues to improve. Nationally, economic development inclusivity continues to improve, but disparities still exist in some regions, such as Java Island. West Java Province becomes the province with a relatively low Inclusive Economic Development Index (IPEI). Although its inclusivity rate is above the national average, West Java Province still faces issues of high poverty levels and inequality. This can be caused by various factors, including technological advancement. This research aims to provide an overview and assess the influence of ICT usage and other factors on the achievement of inclusive economic development in West Java Province for the period 2017-2022. The research results using panel data and fixed effect FGLS modelling show that variables such as mobile phone users, computer users, physical capital stock, and the Human Development Index (HDI) have proven to have a positive and significant impact on achieving inclusive economic development.
Peran Teknologi Informasi dan Komunikasi serta Kondisi Sosial Ekonomi terhadap Kemiskinan Indonesia Ishak, Rani Mardiyah; Kartiasih, Fitri
Jurnal Ikatan Sarjana Ekonomi Indonesia Vol 13 No 3 (2024): December
Publisher : Jurnal Ekonomi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52813/jei.v13i3.496

Abstract

Penelitian ini bertujuan mengetahui gambaran umum kemiskinan beserta faktor-faktor yang diduga memengaruhi kemiskinan dan mengidentifikasi faktor-faktor yang memengaruhi kemiskinan di Indonesia. Metode yang digunakan yaitu analisis regresi spasial data panel. Hasil penelitian menemukan bahwa terdapat efek spasial pada kemiskinan di Indonesia. Indeks Pembangunan TIK (IP-TIK), persentase pengguna telepon seluler, dan indeks pembangunan manusia (IPM) signifikan menurunkan tingkat kemiskinan di Indonesia. Sebaliknya, angka buta huruf dan tingkat pengangguran terbuka signifikan meningkatkan tingkat kemiskinan di Indonesia. Oleh karena itu, selain dari sisi sosial ekonomi juga perlu menjadikan TIK sebagai bagian penting dari strategi pembangunan yang lebih luas untuk mengentaskan kemiskinan di Indonesia.
Resiliensi Wilayah terhadap Shock Pandemi COVID-19: Studi Kasus Kabupaten/Kota di Pulau Jawa Umam, Khotibul; Kartiasih, Fitri
Jurnal Ikatan Sarjana Ekonomi Indonesia Vol 12 No 3 (2023): December
Publisher : Jurnal Ekonomi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52813/jei.v12i3.415

Abstract

Pulau Jawa sebagai penyumbang terbesar perekonomian Indonesia seharusnya memiliki resiliensi yang baik dalam menghadapi shock pandemi COVID-19. Penelitian ini bertujuan untuk mengetahui pengaruh spesialisasi wilayah, Produk Domestik Regional Bruto (PDRB), kualitas pembangunan manusia (IPM), dan jumlah penduduk terhadap resiliensi wilayah dalam menghadapi shock. Cakupan penelitian sebanyak 119 kabupaten/kota di Pulau Jawa tahun 2020 dan 2021. Metode yang digunakan adalah regresi robust MMestimation. Hasil penelitian menunjukkan bahwa kabupaten/kota yang memiliki resistansi yang baik cenderung memiliki pemulihan yang baik pasca-shock. Spesialisasi wilayah, PDRB, dan kualitas pembangunan manusia memiliki hubungan negatif terhadap resistansi dan pemulihan wilayah pasca-shock COVID-19. Jumlah penduduk memiliki hubungan positif dengan resistansi dan pemulihan wilayah pasca-shock COVID-19.
Pengaruh Infrastruktur Transportasi serta Teknologi Informasi dan Komunikasi (TIK) terhadap Ketimpangan Pendidikan di Indonesia Rahma, Suci Fadhila; Kartiasih, Fitri
Jurnal Ikatan Sarjana Ekonomi Indonesia Vol 13 No 2 (2024): August
Publisher : Jurnal Ekonomi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52813/jei.v13i2.453

Abstract

Penelitian ini berfokus pada ketimpangan pendidikan dan menyelidiki bagaimana Teknologi Informasi dan Komunikasi (TIK) serta infrastruktur transportasi memengaruhi distribusi sumber daya pendidikan. Model data panel dibangun untuk membahas hubungan antara TIK, infrastruktur transportasi, dan ketimpangan pendidikan menggunakan data 34 provinsi di Indonesia dari tahun 2015 hingga 2021. Hasil empiris menunjukkan bahwa ketimpangan pendidikan Indonesia memiliki kecenderungan menurun dalam kurun waktu tujuh tahun terakhir dan dipengaruhi secara signifikan oleh telepon tetap kabel, komputer, telepon seluler, internet, dan infrastruktur transportasi. Akses infrastruktur TIK perlu ditingkatkan terutama akses internet serta infrastruktur transportasi untuk meningkatkan aksesibilitas pendidikan sehingga dapat menurunkan ketimpangan pendidikan.
Nowcasting of Indonesia's Gross Domestic Product Using Mixed Sampling Data Regression and Google Trends Data Yuliana, Niken; Ramadanty, Shashella Zelicha; Syifa, Umu Arifatul; Kartiasih, Fitri
Eigen Mathematics Journal Vol 7 No 2 (2024): December
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/emj.v7i2.187

Abstract

This study aims to compare the results of the GDP nowcasting of the accommodation and food service activities sector without and with the pandemic time using the MIDAS method. The MIDAS method is an econometric approach used to predict economic development using real-time available high-level and low-frequency data. In this study, Google Trend acts as a predictor variable consisting of 16 search categories which are then reduced by Principal Component Analysis, resulting in several principal components. For GDP data, the data period collected is Quarter I 2010 to Quarter I 2023. This period will later be partitioned into the period before the COVID-19 pandemic, namely Quarter I 2010 to Quarter IV 2019 and a combined period, namely Quarter I 2010 to Quarter I of 2023. This partition was carried out to see the performance and sensitivity of the model before and after the shock due to the COVID-19 pandemic. From the models that have been made, nowcasting is carried out and it is found that the RMSE and MAE values for the pre-pandemic model are smaller than the combined model. The RMSE values for each of the pre-pandemic and combined models were 0.005753 and 0.056032 and the MAE values were 0.00359 and 0.048976 for the pre-pandemic and combined models. However, from this study it is not advisable to make predictions on the nominal GDP of the accommodation and food service activities sector because the results of the nowcasting predictions are still far from the actual value, but can be a reference if you want to predict the growth direction of the accommodation and food service activities sector.
Analysis of Carbon Emissions in ASEAN Manufacturing: Input-Output and Panel Data Approach Sandi, Imella Mendita; Abioga, Naufal Raffie; Aditya, Randy Daffa; Sabrina, Rizka; Kartiasih, Fitri
Efficient: Indonesian Journal of Development Economics Vol. 8 No. 1 (2025)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jsnnrt53

Abstract

This research aims to identify the leading sectors in four ASEAN countries and analyze the influence of production in these sectors and the consumption of renewable energy on carbon dioxide emissions in these countries. The analytical methods used include the analysis of inter-sector linkages and identifying leading sectors using input-output tables, followed by further analysis with panel data regression. The results indicate that while the leading sectors vary among the four countries, the manufacturing sector predominantly leads. Additionally, GDP in the manufacturing sector and renewable energy consumption significantly affect carbon dioxide emissions in the four ASEAN countries
Co-Authors A'mal, Ikhlasul Abioga, Naufal Raffie Achmad Noerkhaerin Putra Addaruqutni, Adnan Dahiya Aditya, Randy Daffa Afifah, Aisyah Nur Agustina, Serly Ahmady, Haidar Hilmy Aini, Mifrotun Akhmad, Afied Albab, Muhammad Hafiz Amalia Isti Widiyasari Amalia, Mutiara Friska Anam, Mohammad Aprianto, Stenislaus Angga Apriliani, Nur Hidayah Arif Maulana, Arif Arif Rahman Hakim Arindah, Yuli Arini, Rechtiana Putri Arisanti, Rohimma Arnanda, Feza Raffa Asri, Yualita Surya Atmaja, Anugerah Surya Audina, Resda Aninditya Aulia, Miranda Aurellia, Nur Aisya Aysyah, Putri Azhari Azhari Azizi, M Ziko Azmi, Annisa Nurul A’mal , Ikhlasul Belantika, Bernica Tiyas Budiman, Muhammad Amirul Cahyarani, Arista Ika Camalia, Nur Dina Daulay, Nur Ainun Dini, Putri Muthi’ah Dyah Widyastuti Dzunnurain, Zena Azzahra Elvaretta , Katrina Lavenia Erviana, Rissa Esharja, Zul Ahmad Fajritia, Rahajeng Fauzan, Fardhi Dzakwan Fitriyyah, Nur Retno Gayatri, Tayasi Ditoresmi Habibi, Hasan Bahtiar Hafiz, Muhammad Sultan Hamdani Hamdani Hardinata, Rizki Harum, Nisrina Sekar Hasabi, Rafif Hasanah, Lailatul Hasibuan, Sri Rahayu Hasna, Nisa Fatharani Hayuningtyas, Aulia Herindra, Tsabit Bintang Hermawan, Kadek Dody Kusuma Hidayat, Anang Kurnia Hilal, Yanuar Nurul Holyness Nurdin Singadimedja Husain, Farah Fadhilah Hutabarat, Josephin Pirdinansius Hutajulu , Dhevri Leonardo Ishak, Rani Mardiyah Ismail, Ghaffar Jamaluddin, Halim Nur Jane, Giani Jovita Jannah, Nazwa Thoriqul Junianto, Raihan Rahmanda Kamal, Firhand Yusuf Khasanah, Alif Fitriatul Khotibul Umam Kurniawati, Reny Dyah Kusumawardani, Sukma Ayu Kuswardani, Rakaninda Indah Laksmana Putri, Calivi Kezia Latifa, Afina Lesmana, Faqih Indra Lubis, Adrian Kesar Pratama Lubis, Mahira Fachrunnisa 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 Mulkan, Drajat Ali 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 Pemayun, Anak Agung Gede Rai Bhaskara Darmawan Perangin-Angin, Elgresia Egita Br Pertiwi, Intan Puspaning Prakoso, Nurihisha Nadya Putri Pramesthi, Adinda Ayu Pramesthy, Widhelia Echa Prasetyo, Rokhmirati Prasojo, Naufal Anhar Pratama, Bagus Putra Pratiwi Pratiwi Prayoga, Suhendra Widi Primadani, Avelia Deavy Purnatadya, Sinatrya Dwi Putri , Nasya Zahira Putri Yunardi, Nabila Fatma Putri, Ananda Rania Putri, Azmi Zulfani Putri, Hala Mutiara Putri, Khuzaimah Putri, Natasya Yunita Putri, Nimas Ayu Eka Putri, Syofmarlianisyah Rachma Safitri, Viola 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 Rohmah, Nur Amaliyatur 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 Sandy, Nicholas Rahardian Kurnia Sari, Fahra Permata Sari, Linda Monica Sari, Mutiara Indryan Sepbrina Br Lumban Gaol, Ruth Natasya Setiawan, Kevin Rizkika Setyaningtyas, Ashita 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 Subian, Alwan Rahmana Suhaib, Aida Muthia Suhendi, Brigitta Aurelia Putri Swardanasuta, I Bagus Putu 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 Wibowo, Afina Zahrah Ananda 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