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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 Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) 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 Eksis: Jurnal Riset Ekonomi dan Bisnis Jurnal Humaniora : Jurnal Ilmu Sosial, Ekonomi dan Hukum INFOMATEK: Jurnal Informatika, Manajemen dan Teknologi Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Perencanaan Pembangunan Jurnal Varian Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Aspirasi : Jurnal Masalah-masalah Sosial TheJournalish: Social and Government Riset: Jurnal Aplikasi Ekonomi Akuntansi dan Bisnis 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 PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND OFFICIAL STATISTICS Jurnal Ekonomi dan Pembangunan Indonesia JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Eko-Regional: Jurnal Pembangunan Ekonomi Wilayah
Fitri Kartiasih
Subdirektorat Statistik Pertambangan dan Energi, Badan Pusat Statistik
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A VECM APPROACH TO ASSESSING THE IMPACT OF ECONOMIC GROWTH, LIVESTOCK PRODUCTION INDEX, AND CROP PRODUCTION INDEX ON METHANE GAS EMISSIONS IN INDONESIA Perangin-Angin, Elgresia Egita Br; Habibi, Hasan Bahtiar; Hasna, Nisa Fatharani; Kartiasih, Fitri
Agros Journal of Agriculture Science Vol 26, No 1 (2024): Januari
Publisher : Fakultas Pertanian, Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37159/jpa.v26i1.3841

Abstract

Human activity has contributed to climate change in Indonesia due to its rapid economic expansion and active participation in achieving the Sustainable Development Goals (SDGs), particularly Goal 13 on climate change mitigation. This study assesses the impact of agricultural production index, animal production index, and economic growth on methane gas emissions in Indonesia using data spanning 1990 to 2020. The Environmental Kuznet Curve idea is not supported by the results of study conducted using the Vector Error Correction Model, which indicate that economic expansion and animal production have a significant long-term effect on methane (CH4) emissions. The Granger causality test reveals a considerable impact of agriculture and livestock on GDP, as well as a two-way relationship between GDP and CH4 emissions. The analysis of the Impulse Response Function reveals the various ways in which methane emissions react to independent factors like GDP, the Livestock Production Index (LPI), and the Consumer Price Index (CPI). The cattle industry has a considerable long-term impact on methane emissions, as evidenced by the fact that after a while, variations in CH4 emissions were more influenced by LPI. These results highlight the necessity for climate-friendly, sustainable policies, such as the incorporation of anticipation measures for climate change into national planning, the advancement of technology and innovation, and the control of waste from cattle and agriculture. Keywords: GDP, LPI, CPI, Methane Emissions, VECM, SDGs, Time Series, EKC
IMPACT OF FISCAL POLICY ON EAST KALIMANTAN's CONSTRUCTION SECTOR GROWTH Lubis, Adrian Kesar Pratama; Umami, Bafinatul; Kurniawati, Reny Dyah; Kartiasih, Fitri
Riset: Jurnal Aplikasi Ekonomi Akuntansi dan Bisnis Vol 7 No 1 (2025): RISET : Jurnal Aplikasi Ekonomi Akuntansi dan Bisnis
Publisher : Kesatuan Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37641/riset.v7i1.2129

Abstract

The Indonesian government's relocation of the national capital (IKN) from Jakarta to East Kalimantan is a strategic policy to address various challenges Jakarta faces, such as severe congestion, high population density, and natural disaster risks. Additionally, this move is expected to promote equitable development and accelerate economic growth in the eastern regions of Indonesia, which have lagged compared to Java Island. The realization of the infrastructure development budget for IKN in East Kalimantan has reached 97.50%, with the construction sector as the primary driver. This study aims to find out the general picture of the construction sector in East Kalimantan and analyze the construction sector's role through the fiscal policy of IKN infrastructure development in increasing output and employment. The method used is interregional input-output analysis. The results show that the construction sector is one of the key sectors in East Kalimantan, with an output multiplier of 1.87 and a labor multiplier of 0.003. An increase in final demand of 25.78 trillion rupiahs caused an increase in output in all sectors of the national economy of 48.32 trillion rupiahs and the absorption of 76919 workers.
PERAMALAN PRODUKSI GULA TEBU DI INDONESIA MENGGUNAKAN MODEL HYBRID SARIMA (SARIMA-ANN) DALAM MENGUKUR CAPAIAN SWASEMBADA GULA 2025 Hermawan, Kadek Dody Kusuma; Cahyarani, Arista Ika; Siregar, Tiara Khorijah Hamid; Kartiasih, Fitri
Agricore Vol 10, No 1 (2025): Volume 10 No 1, Juni 2025
Publisher : Departemen Sosial Ekonomi Faperta Unpad dan Perhepi Komisariat Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/agricore.v10i1.62470

Abstract

AbstrakGula merupakan salah satu barang hasil industri yang termasuk kebutuhan esensial bagi masyarakat Indonesia. Penelitian ini bertujuan untuk menentukan model terbaik dalam meramalkan produksi gula di Indonesia, sekaligus meramalkan pencapaian swasembada gula nasional pada tahun 2025. Penelitian ini menggunakan data bulanan produksi gula di Indonesia dari periode Januari 2014 sampai Desember 2023, yang bersumber dari Badan Pusat Statistik. Data tersebut dimodelkan dengan model SARIMA (Seasonal Autoregressive Integrated Moving Average) dan hybrid SARIMA (gabungan Seasonal Autoregressive Integrated Moving Average dengan Artificial Neural Network) untuk menentukan model terbaik. Kedua model tersebut dapat memodelkan produksi gula di Indonesia yang memiliki pola musiman kuat. Namun, model hybrid SARIMA menghasilkan akurasi peramalan yang lebih baik dibandingkan model SARIMA. Oleh karena itu, model terbaik yang digunakan untuk meramalkan produksi gula di Indonesia adalah model hybrid SARIMA. Hasil peramalan dengan model tersebut pada dua tahun ke depan menunjukkan bahwa produksi gula nasional mengalami stagnan, sehingga belum mampu mencapai swasembada gula nasional pada tahun 2025.Kata kunci: Produksi gula, swasembada gula, SARIMA, hybrid SARIMA.AbstractSugar is one of the industrial goods that are essential to the Indonesian people. This study aims to determine the best model for forecasting sugar production in Indonesia and to assess the achievement of national sugar self-sufficiency by 2025. The study uses monthly data on sugar production in Indonesia from January 2014 to December 2023, sourced from Statistics Indonesia. The data were modeled using SARIMA (Seasonal Autoregressive Integrated Moving Average) and hybrid SARIMA models (a combination of SARIMA and Artificial Neural Network) to identify the best model. Both models were capable of capturing the strong seasonal pattern of sugar production in Indonesia. However, the hybrid SARIMA model produces better forecasting accuracy than the SARIMA model. Therefore, the hybrid SARIMA model was selected as the best model for forecasting sugar production in Indonesia. Forecast results for the next two years indicate stagnation in national sugar production, suggesting that Indonesia is unable to achieve sugar self-sufficiency by 2025.Keywords: Sugar production, sugar self-sufficiency, SARIMA, hybrid SARIMA.
Estimating the shadow economy at the provincial level in Indonesia: A MIMIC model approach Lukman, Raif Maulana; Kartiasih, Fitri
Jurnal Ikatan Sarjana Ekonomi Indonesia Vol 14 No 1 (2025): April
Publisher : Jurnal Ekonomi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52813/jei.v14i1.561

Abstract

The shadow economy encompasses economic activities that are not recorded in the Gross Domestic Product (GDP), resulting in reporting bias and diminished state revenue. This study estimates the size of the shadow economy across 34 Indonesian provinces from 2015 to 2021 using the Multiple Indicators and Multiple Causes (MIMIC) method. The results indicate that the estimated average shadow economy ranges from 4.73% to 42.64% of the provincial GRDP. Key influencing factors include tax burden, government regulations, regional autonomy, self-employed labor, and economic openness. These findings support policies aimed at reducing the shadow economy through tax efficiency, improved regulations, and enhanced welfare for micro, small, and medium enterprises (MSMEs) backed by local governments. Keywords: shadow economy; MIMIC model; regulation; tax burden JEL Classification: E61; E62
PENGGUNAAN REMOTE SENSING DAN GOOGLE TRENDS UNTUK ESTIMASI PRODUK DOMESTIK BRUTO INDONESIA Kamal, Firhand Yusuf; Sari, Mutiara Indryan; Utami, Maulidya Fan Ghul Udzan; Kartiasih, Fitri
Equilibrium: Jurnal Penelitian Pendidikan dan Ekonomi Vol. 21 No. 02 (2024): Equilibrium: Jurnal Penelitian Pendidikan dan Ekonomi
Publisher : Universitas Kuningan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25134/equi.v21i02.9455

Abstract

AbstrakPembangunan ekonomi merupakan salah satu topik yang penting untuk dikaji karena memberi gambaran tingkat kesejahteraan suatu negara. Akan tetapi, kebutuhan data yang menggambarkan pembangunan ekonomi, khususnya Produk Domestik Bruto (PDB) belum tersedia secara real-time. Penggunaan big data, seperti Night Time Light (NTL) dan Google Trends, untuk mengestimasi PDB menjadi salah satu solusi permasalahan tersebut. Meskipun begitu, kedua jenis big data tersebut masih memiliki kekurangan sebagai proxy untuk variabel PDB. NTL memiliki kekurangan karena data yang dihasilkan tidak mampu membedakan apakah cahaya yang ditangkap merupakan cahaya yang berasal dari listrik atau cahaya temporal, seperti api, pantulan cahaya, dan lain sebagainya. Begitu pula dengan Google Trends yang masih memiliki kekurangan dimana kata kunci yang digunakan tidak selalu merepresentasikan pola perilaku masyarakat secara konsisten. Metode penelitian ini bersifat kuantitatif dengan menggunakan data NTL dan Google Trends yang dievaluasi dan dibandingkan untuk melihat jenis data mana yang terbaik dalam menghasilkan estimasi PDB. Hasil penelitian menunjukkan bahwa penggunaan NTL, Google Trends, dan gabungan keduanya dapat digunakan untuk memprediksi PDB. Hal tersebut dapat terlihat dari hasil pemodelan yang tidak bersifat overfitting dan memiliki nilai MAPE di bawah 10%. Selain itu, penggunaan gabungan kedua data tersebut menjadi pilihan terbaik dalam mengestimasi PDB yang ditunjukkan dengan hasil evaluasi terbaik, yakni nilai RMSE sebesar 15792,73 dan nilai MAPE sebesar 0,52%. Kata kunci: google trends; produk domestik bruto; night time light; remote sensing AbstractEconomic development is an important topic to study because it provides an overview of the level of welfare of a country. However, the need for data that describes economic development, especially Gross Domestic Product (GDP), is not yet available in real-time. The use of big data, such as Night Time Light (NTL) and Google Trends, to estimate GDP is one solution to this problem. Even so, both types of big data still have shortcomings as proxies for GDP variables. NTL has shortcomings because the data produced is unable to distinguish whether the light captured is light originating from electricity or temporal light, such as fire, reflected light, and so on. Likewise, Google Trends still has shortcomings in that the keywords used do not always consistently represent people's behavior patterns. This research method is quantitative using NTL and Google Trends data which are evaluated and compared to see which type of data is best in producing GDP estimates. The research results show that the use of NTL, Google Trends, and a combination of both can be used to predict GDP. This can be seen from the modeling results which are not overfitting and have a MAPE value below 10%. Apart from that, using a combination of these two data is the best choice in estimating GDP as shown by the best evaluation results, namely an RMSE value of 15792.73 and a MAPE value of 0.52%.  Keywords: google trends; gross domestic product; nighttime light; remote sensing
Dampak Target Konsumsi Listrik Nasional Terhadap Perekonomian di Provinsi Papua: Pendekatan Analisis Tabel Input-Output Taridipa, Fitrisia; Shabrina, Amara Putri; Setiawan, Kevin Rizkika; Kartiasih, Fitri
JIEP: Jurnal Ilmu Ekonomi dan Pembangunan Vol. 7 No. 2 (2024)
Publisher : PPJP ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/jiep.v7i2.1971

Abstract

The study focuses on Papua Province, which has the lowest electrification rate in Indonesia. It aims to analyze the potential of the electricity and gas procurement sector in 2022 and the impact of economic acceleration policies through increased per capita electricity consumption. The data used are from the 2016 Papua input-output table by BPS Statistics Indonesia, updated using the RAS method. The analysis shows that the electricity and gas procurement sector plays a crucial role in sustainable economic growth, significantly contributing to economic output, and showing high sensitivity to changes in other sectors. Simulations of increased per capita electricity consumption indicate substantial output growth in the electricity and gas sector, as well as positive impacts on other sectors. Therefore, investments and policies supporting electricity infrastructure development are essential to maximize Papua's economic potential and improve welfare. This study guides policymakers and stakeholders in designing sustainable development strategies for Papua Province.
NEXUS BETWEEN THRIFTING AND GDP GROWTH IN INDONESIA’S TEXTILE AND WEARING APPAREL MANUFACTURING: ARDL AND SENTIMENT ANALYSIS APPROACH Rahmanto, Karina Cindy; Hasanah, Lailatul; Ramadhan, Arfian Kurniawan; Kartiasih, Fitri
Jurnal Ekonomi dan Bisnis Airlangga Vol. 35 No. 1 (2025): JURNAL EKONOMI DAN BISNIS AIRLANGGA
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jeba.V35I12025.1-16

Abstract

Introduction: The rise of used clothing imports has sparked concerns about its economic impact, particularly on Indonesia’s textile and apparel industry. Methods: This study employs a mixed-methods approach, combining quantitative (ARDL model) and qualitative (sentiment analysis) methods. It analyzes GDP, Google Trend Index (GTI), and used clothing import data from 2018–2023 to assess the economic impact of thrifting. Results: This study analyzes the impact of thrifting on the GDP of Indonesia's textile and apparel industry subsector. The findings indicate that thrifting has a significant negative effect on the sector's GDP, while sentiment analysis reveals that 81.90 percent of public sentiment on Twitter expresses positive views toward thrifting. Conclusion and suggestion: This study concludes that thrifting harms the GDP of Indonesia's textile and apparel industry subsector. This finding is reinforced by the high public interest in thrifting, as reflected in the predominantly positive sentiment on Twitter. In response, policymakers and industry stakeholders should strengthen the enforcement of existing regulations and focus on enhancing the competitiveness of local products.
Tantangan Menuju Masyarakat Inklusif: Apakah Ketimpangan Ekonomi dan Korupsi Mengancam Hak Asasi Manusia? Putri, Nimas Ayu Eka; Oktaviana, Siska Wahyu; Rajagukguk, Marlon Brando; Kartiasih, Fitri
Jurnal Humaniora : Jurnal Ilmu Sosial, Ekonomi dan Hukum Vol 9, No 1 (2025): April 2025
Publisher : Center for Research and Community Service (LPPM) University of Abulyatama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30601/humaniora.v9i1.6384

Abstract

Economic inequality and political corruption are two structural issues that significantly affect the protection of human rights, particularly in developing countries such as Indonesia. Economic inequality, characterized by unequal income distribution and limited access to basic services, exacerbates the vulnerability of marginalized communities. Meanwhile, political corruption undermines democratic institutions, fosters injustice, and restricts public access to fundamental rights. This study aims to analyze the impact of economic inequality and political corruption on the Human Rights Index (HRI) in Indonesia during the period 1993–2023 using the Error Correction Model (ECM) approach. The results indicate that both in the short and long term, economic inequality measured by the Gini Coefficient and political corruption levels significantly contribute to the decline in HRI. In the long term, a 1% increase in the Gini Coefficient reduces the HRI by 0.59%, while a 1% rise in the Political Corruption Index lowers the HRI by 5.68%. This study underscores the importance of inclusive and transparent institutional reforms to address these structural challenges and improve the protection of human rights in Indonesia.
Determination of macroeconomic factors on Indonesia's oil and gas imports: an ECM approach Hasibuan, Sri Rahayu; Mahardika, Mayza Hanif Abbad; Addaruqutni, Adnan Dahiya; Kartiasih, Fitri
Journal of Economics Research and Policy Studies Vol. 5 No. 2 (2025): Journal of Economics Research and Policy Studies
Publisher : Nur Science Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53088/jerps.v5i2.1693

Abstract

The oil and gas trade deficit can negatively impact Indonesia’s economy in the long term, highlighting the need to identify key factors influencing oil and gas imports. This study analyzes the effects of inflation, exchange rates, and foreign exchange reserves on oil and gas imports using the Error Correction Model (ECM), which captures both short-term and long-term dynamics. Monthly data from January 2003 to December 2023 were used, with a natural logarithm transformation applied to address non-stationarity. The results show that, in the long term, inflation and foreign exchange reserves significantly and positively affect oil and gas imports, while the exchange rate has a significant negative effect. In the short term, these variables show no significant impact except for the error correction term (ECT), which is negative and significant—indicating a gradual adjustment toward long-term equilibrium. The findings support policy efforts focused on maintaining price stability, exchange rate management, and adequate foreign exchange reserves to ensure a more sustainable oil and gas trade balance.
Forecasting the Human Development Index Based on Social and Economic Factors in Indonesia using the ARIMAX Model Nurfayza, Fairuz Azizah; Simamora, Kevin; Luthfia, Nisrina; Kartiasih, Fitri
Eksis: Jurnal Riset Ekonomi dan Bisnis Vol. 19 No. 2 (2025): October (2024) - March (2025)
Publisher : INSTITUT TEKNOLOGI DAN BISNIS PGRI DEWANTARA JOMBANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26533/eksis.v19i2.1337

Abstract

The Human Development Index (HDI) plays an important role in development policy in Indonesia. Through the HDI, related social and economic factors can be identified, apart from its main dimensions of a long and healthy life, level of knowledge, and decent standard of living. In 2024, Indonesia experienced an increase in the Human Development Index (HDI). Therefore, this study aims to analyze the influence of social and economic factors outside the constituent dimensions of HDI on the increase in HDI and predict its impact in the future. The analysis method uses the ARIMAX model, which allows forecasting by considering exogenous variables that affect the analyzed variables. The results of this study concluded that social and economic factors have a significant influence on human development with the formation of the ARIMAX(3,0,0) model. From the feasibility testing that has been done, the model is considered an appropriate model and can be used for forecasting. After forecasting, the model is able to capture historical patterns well, although there are fluctuating patterns. Forecasting shows a downward trend in 2026 and 2033, which is likely influenced by the pattern of the previous year, 2020. Nonetheless, the model provides a fairly good picture of the long-term trend and can be used to inform strategic policy making.
Co-Authors A'mal, Ikhlasul Achmad Noerkhaerin Putra Addaruqutni, Adnan Dahiya Afifah, Aisyah Nur Agustina, Serly Ahmady, Haidar Hilmy Aini, Mifrotun Akhmad, Afied Amalia Isti Widiyasari 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 Barsua, Ni Putu Esti Utami Belantika, Bernica Tiyas Budiman, Muhammad Amirul Cahyarani, Arista Ika Camalia, Nur Dina Daulay, Nur Ainun Dilaga, I Made Joel Jaya 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 Hakim, Rafi Ariq Hamdani Hamdani Hardinata, Rizki Hariaddin, Muhammad 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 Irianto, Hikmal Mardian Ishak, Rani Mardiyah Ismail, Ghaffar Jamaluddin, Halim Nur Jane, Giani Jovita Jannah, Nazwa Thoriqul 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 Nabilah, Yasmin Nur Alya Nainggolan, Gibson Daniel Andrianto Nasir, Andi Ardiansyah Nurfayza, Fairuz Azizah Nurhayati, Saniyyah Sri Oktaviana, Lisda Oktaviana, Siska Wahyu Oktaviani, Anisa Nur Pamungkas, Khrisna Aji Parulian, Firman Emmanuel Declarantius 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 Pratama, Muhammad Zacky Arie Pratiwi Pratiwi Prayoga, Suhendra Widi Pribadi, Wanda 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 Ramadhan, Arfian Kurniawan Ramadhani, Anindita Ayu Ramadian.M, Vivi Adelia Rayhan, Dhymas Adhyza Rega, Raina Revanadillaa, Daradinanti Aulia Rifdianti, Shinta Rinangku, Rahadian Eka Bagus Indra Risxi, Muhammad Alfa Rita Yuliana Rohmah, Nur Amaliyatur Rosanti, Hanifah Putri Ryan Hawari, Ryan Sabillah, Hanif Sagita, Fauzan Faris Samosir, Cecilia Putri Dianti Sandy, Nicholas Rahardian Kurnia Sari, Fahra Permata Sari, Linda Monica Sari, Mutiara Indryan Sarwosih, Arifa Tri Sepbrina Br Lumban Gaol, Ruth Natasya Septian, Dicky Aulia Setiawan, Kevin Rizkika Setyaningtyas, Ashita Shabrina, Amara Putri Shafira, Hervira Nur Siahaan, Rio Manuppak Siahaan, Vendredy P. Lucasio Sibagariang, Fahri Azis Siburian, Lastri Ramadani Simamora, Kevin 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 Syaharani, Afifah Dayan Syahputri, Sabilla Hamda 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 Wulandari, Yulia Nawang Yusman Syaukat Zega, Alvandi Syukur Rahmat Zhafarina, Nadaa