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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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Competitiveness and the Factors Affecting Indonesian Pineapple Exports Rachma Safitri, Viola; Kartiasih, Fitri
Jurnal Hortikultura Indonesia (JHI) Vol. 10 No. 1 (2019): Jurnal Hortikultura Indonesia
Publisher : Indonesian Society for Horticulture / Department of Agronomy and Horticulture

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (449.206 KB) | DOI: 10.29244/jhi.10.1.63-73

Abstract

Penelitian ini bertujuan untuk mengetahui gambaran umum produksi dan ekspor nanas di Indonesia, menganalisis daya saing nanas Indonesia di tujuh negara tujuan ekspor utama, dan menganalisis faktor faktor yang mepengaruhi ekspor nanas Indonesia di negara tujuan ekspor utama nanas tahun 2001-2014. Metode yang digunakan dalam penelitian ini adalah Revealed Comparative Advantage (RCA), Indeks Spesialisasi Perdagangan (ISP), Intra Industry Trade (IIT), dan regresi data panel. Hasil penelitian ini menunjukkan bahwa tingginya produksi nanas Indonesia belum diimbangi dengan peningkatan volume ekspor nanas. Indeks RCA menunjukkan bahwa Indonesia lebih unggul dibandingkan Filipina di beberapa negara seperti Belanda, Jerman, Singapura, Spanyol, dan Argentina untuk komoditi nanas. Indeks ISP dan IIT menunjukkan bahwa Indonesia memiliki kecenderungan sebagai negara eksportir. Variabel indeks daya saing, nilai tukar riil rupiah terhadap mata uang negara tujuan, pendapatan per kapita negara tujuan, serta jumlah produksi nanas Indonesia memiliki pengaruh positif terhadap pertumbuhan volume ekspor nanas di ketujuh negara tujuan ekspor utama sedangkan harga ekspor riil nanas memiliki pengaruh yang negatif terhadap volume ekspor nanas di ketujuh negara tujuan ekspor utama. Kata Kunci: data panel, daya saing, ekspor nanas, RCA
THE EFFECT OF INDUSTRIAL VALUE ADDED, ENERGY CONSUMPTION, FOOD CROP PRODUCTION, AND AIR TEMPERATURE ON GREENHOUSE GAS EMISSIONS IN INDONESIA: A TIME SERIES ANALYSIS APPROACH Swardanasuta, I Bagus Putu; Sandy, Nicholas Rahardian Kurnia; Rohmah, Nur Amaliyatur; Arindah, Yuli; 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.v26i1.3876

Abstract

Air quality and global warming, which cause climate change and affect many aspects of human life, have become important topics in recent years. The objective of this study is to assess the influence of greenhouse gas emissions on industrial added value, energy consumption, food crop production, and air temperature in Indonesia. The period covered is 1990–2022. The Granger causality test and the vector error correction model are employed to establish the causal connection between the variables, and the unit root test is used to confirm the data’s stationarity. The study’s findings demonstrate that, over the long run, greenhouse gas emissions in Indonesia are known to be positively impacted by energy use, crop output, and temperature. Short-term analysis shows that air temperature has a negative impact on greenhouse gas emissions in Indonesia, but the added value of industry, energy consumption, and food crop output have a favorable impact. In light of the study’s findings, it is anticipated to serve as the foundation for the Indonesian government’s deliberations when implementing the required policies to lower greenhouse gas emissions, while still paying attention to the added value in the industrial sector as well as a basis for determining other policies. In addition, controlling fossil energy consumption must also be actively carried out by intensifying the use of renewable fuels. Keywords: Greenhouse gases, Industrial value added, Energy consumption, Food crop production, Air temperature, VECM
Potensi Ekonomi Industri Pengolahan Indonesia: Analisis Input Output Hayuningtyas, Aulia; Lubis, Mahira Fachrunnisa; Anam, Mohammad; Kusumawardani, Sukma Ayu; Kartiasih, Fitri
MARGIN ECO Vol. 8 No. 2 (2024): Margin Eco: Jurnal Ekonomi dan Perkembangan Bisnis
Publisher : Fakultas Ekonomi Universitas KH. A. Wahab Hasbullah Tambakberas Jombang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/margin.v8i2.5145

Abstract

Industri manufaktur merupakan sektor yang memiliki share terbesar terhadap PDB Indonesia di tahun 2023. Menteri Perindustrian menargetkan pertumbuhan kinerja industri manufaktur sebesar 5,80% pada tahun 2024. Dampak dari perubahan permintaan akhir terhadap sektor industri manufaktur akan mempengaruhi sektor-sektor perekonomian lainnya. Maka dari itu, penelitian ini bertujuan untuk mengidentifikasi angka pengganda output, tenaga kerja, dan pendapatan rumah tangga akibat kenaikan permintaan akhir. Penelitian ini juga memprediksi peningkatan output setiap sektor sebagai respons terhadap peningkatan permintaan akhir sektor industri pengolahan sesuai dengan target pertumbuhan tersebut. Tabel Input-Output hasil updating ke tahun 2023 digunakan sebagai alat analisis utama untuk mengidentifikasi interaksi sektor manufaktur dengan sektor perekonomian lainnya. Hasil penelitian menunjukkan bahwa sektor dengan angka pengganda output terbesar di tahun 2023 adalah Sektor Pengadaan Listrik dan Gas. Sektor dengan angka pengganda pendapatan terbesar adalah Sektor Jasa Pendidikan sedangkan Sektor Pengadaan Air, Pengelolaan Sampah, Limbah dan Daur Ulang menjadi sektor dengan pengganda tenaga kerja terbesar. Sektor lain yang paling terdampak oleh target pertumbuhan final demand 5,8% pada sektor industri pengolahan adalah sektor pertanian, kehutanan, dan perikanan.
Utilizing Google Trends Data to Examine the Impact of Unemployment Rates on Indonesia's Gross Domestic Product Jane, Giani Jovita; Hasabi, Rafif; Purnatadya, Sinatrya Dwi; Kartiasih, Fitri
Sistemasi: Jurnal Sistem Informasi Vol 13, No 6 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i6.3603

Abstract

Abstract Data related to the economy have varying frequencies and have delays in publication time. Such as data on the Open Unemployment Rate (OUR) with a semi-annual frequency and Gross Domestic Product at Constant Prices (riil GDP) according to expenditure with a quarterly frequency. So, frequency conversion is required to conduct simple regression modelling using these data. On the other hand, big data such as Google Trends is an additional predictor to estimate OUR and GDP data to overcome delays in publication time. Then the estimated data is modelled to investigate the effect of OUR on GDP. Data conversion uses the Chow-Lin method, while estimation with Google Trends data uses robust regression. The study shows that the estimation results using Google Trends as an additional predictor provide more accurate results than without Google Trends data for OUR and GDP data. Based on the robust regression results, it can be concluded that the OUR has a negative and significant effect on GDP. The findings provide valuable insights for supporting sustainable economic policy and further research on economic analysis.
Comparison Methods of Machine Learning and Deep Learning to Forecast The GDP of Indonesia Subian, Alwan Rahmana; Mulkan, Drajat Ali; Ahmady, Haidar Hilmy; Kartiasih, Fitri
Sistemasi: Jurnal Sistem Informasi Vol 13, No 1 (2024): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v13i1.3445

Abstract

The success of an economy can bring significant benefits to a country and its society. One way to measure economic growth is by looking at the value of gross domestic product (GDP). The value of a country's GDP is influenced by many factors, including inflation, exports, and imports. Therefore, predicting future economic growth requires forecasting the value of GDP. GDP forecasts are crucial as they provide information about the economic development of a country over a specific period of time. By forecasting GDP, governments and investors can make informed decisions to optimize profits or minimize risks when investing or doing business in a country. This research aims to forecast Indonesia's GDP for the second, third, and fourth quarters of 2023 using the best models from machine learning or deep learning methods. Forecasts are made for each method with and without additional variables. The results indicate that the SimpleRNN algorithm from deep learning without additional variables is the method with the smallest RMSE and MAPE for GDP forecasting. Therefore, the best method used to forecast GDP is the SimpleRNN algorithm, and the forecasted GDP values for Indonesia's second, third, and fourth quarters are 5.350.840,00, 5.483.895,00, and 5.610.077,50 billion rupiah.
ESTIMATION OF JAVA GRDP IN REGENCY/CITY LEVEL: SATELLITE IMAGERY AND MACHINE LEARNING APPROACHES Pemayun, Anak Agung Gede Rai Bhaskara Darmawan; Azizi, M Ziko; Daulay, Nur Ainun; Apriliani, Nur Hidayah; Kartiasih, Fitri
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 10 No. 2 (2024): Maret 2024
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i2.2993

Abstract

Abstract: Gross Regional Domestic Product (GRDP) is one of the most important socio-economic indicators. In order to gain a more comprehensive understanding of the current economic situation and regional differences, estimating GRDP using integration of satellite imagery and official statistics data can provide valuable information. This research estimates the GRDP value in 2022 by using data in 2019 to 2021 related to two aspects, agriculture and non-agriculture. Soil adjusted vegetation index (SAVI), enhanced vegetation index (EVI), and land cover (LC) used as agriculture aspect, while nighttime light (NTL), human settlement index (HSI), land area, and population per regency/city used as non-agriculture aspect. GRDP estimation are produced with machine learning approach using support vector machine (SVM) and random forest (RF) method. Correlation test on each variable shows only land area that does not have a significant correlation with GRDP. RF model then chosen as the best model with RMSE, MSE, MAE, and R2 value of 0.2549; 0.5049; 0.7727; and 0.2543, respectively. The estimated values acquired in several regencies/cities have rather near, some even very close to the official statistics values. Keywords: GRDP; satellite imagery; machine learning; random forest; support vector machine   Abstrak: Produk Domestik Regional Bruto (PDRB) merupakan salah satu indikator sosio-ekonomi yang penting. Penghitungan nilai PDRB dengan pendekatan yang melibatkan kombinasi data citra satelit dan statistik resmi dapat memberikan informasi serta pemahaman yang lebih komprehensif. Penelitian ini melakukan estimasi nilai PDRB pada tahun 2022 menggunakan data tahun 2019 hingga 2021 dengan melibatkan dua aspek, agrikultur dan non-agrikultur. Data soil adjusted vegetation index (SAVI), enhanced vegetation index (EVI), dan tutupan lahan (land cover/LC) digunakan sebagai aspek agrikultur, sementara data citra cahaya malam (NTL), human settlement indeks (HSI), luas wilayah kabupaten/kota, dan jumlah populasi per kabupaten/kota digunakan sebagai aspek non-agrikultur. Estimasi PDRB dihasilkan dengan menggunakan pendekatan machine learning berupa support vector machine (SVM) dan random forest (RF). Pengecekan korelasi antarvariabel menunjukkan bahwa hanya variabel luas wilayah tidak berpengaruh signifikan terhadap nilai PDRB. Model random forest kemudian dipilih sebagai model terbaik dengan nilai evaluasi RMSE, MSE, MAE, dan  berturut-turut sebesar 0.2549, 0.5049, 0.7727, dan 0.2543. Nilai estimasi yang diperoleh di beberapa kabupaten/kota cukup mendekati, bahkan ada yang sangat dekat dengan nilai statistik resmi. Kata kunci: PDRB; citra satelit; machine learning; random forest; support vector machine
Analisis Pengaruh Harga Minyak Mentah dan Nilai Tukar terhadap Indeks Harga Saham Gabungan (IHSG) di Indonesia Pramesthi, Adinda Ayu; Hutajulu , Dhevri Leonardo; Putri , Nasya Zahira; Kartiasih, Fitri
Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (Jebma) Vol. 4 No. 1 (2024): Artikel Riset Maret 2024
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jebma.v4i1.3451

Abstract

Penelitian ini dilakukan untuk menganalisis pengaruh harga minyak mentah dan nilai tukar terhadap indeks harga saham gabungan (IHSG) di Indonesia menggunakan Error Correction Model (ECM). Indonesia sebagai negara berkembang memerlukan penelitian terkait hal ini untuk mengkaji pengaruh simultan antara harga minyak dan nilai tukar terhadap kondisi pasar saham yang direpresentasikan oleh indeks harga saham gabungan. Studi ini menggunakan data bulanan harga minyak mentah, kurs nominal rupiah terhadap dolar AS, dan IHSG dari Januari 2018 sampai Oktober 2023. Hasil penelitian menunjukkan bahwa harga minyak mentah, IHSG, dan nilai tukar terbukti memiliki hubungan jangka panjang ditandai dengan adanya kointegrasi yang signifikan. Harga minyak mentah dan nilai tukar terbukti signifikan mempengaruhi indeks harga saham gabungan secara simultan, baik dalam jangka panjang maupun jangka pendek. Estimasi model jangka panjang dan jangka pendek menunjukkan bahwa IHSG secara signifikan negatif dipengaruhi oleh nilai tukar. Dibutuhkan waktu 1 bulan untuk pertumbuhan IHSG mencapai keseimbangan jangka panjang. Hasil penelitian diharapkan dapat memberikan referensi bagi investor dalam pengambilan keputusan investasi yang dilakukan. Hasil penelitian ini diharapkan memberikan gambaran kepada pemerintah tentang pentingnya variabel makroekonomi, sehingga pemerintah tidak hanya mempertimbangkan pengaruh satu variabel saja dalam membuat keputusan terkait perekonomian Indonesia. Bagi Bank Indonesia hendaknya menetapkan kebijakan moneter yang efektif dengan meminimalkan dampak buruk harga minyak dan nilai tukar terhadap indeks harga saham gabungan.
Identifying LPG Usage Inequality and Its Determinants in Eastern Indonesia Fajritia, Rahajeng; Kartiasih, Fitri; A’mal , Ikhlasul
Jurnal Ilmu Ekonomi Terapan Vol. 10 No. 2 (2025)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jiet.v10i2.79636

Abstract

Objective: This study aims to measure the extent of LPG usage inequality and to examine the factors influencing it across 13 provinces in Eastern Indonesia (KTI) over the period 2015–2023. Specifically, this study seeks to address two research questions: (1) To what extent does LPG usage inequality vary across provinces in Eastern Indonesia? and (2) What factors contribute to the occurrence of this inequality?Methods: This study uses panel data sourced from the National Socioeconomic Survey (Susenas) and official publications of BPS-Statistics Indonesia. LPG usage inequality is measured using the Gini Coefficient and the Lorenz Curve. The empirical model is analyzed using the Fixed Effect Model (FEM), which is then corrected with Feasible Generalized Least Squares–Seemingly Unrelated Regression (FGLS-SUR) to address heteroskedasticity and cross-sectional unit correlation issues.Findings: The research findings reveal that five provinces (East Nusa Tenggara, Maluku, North Maluku, Papua, and West Papua) experience very high disparities in LPG usage, primarily influenced by limited access and high LPG prices. Empirically, it was found that per capita income and education significantly reduce inequality, while an increase in LPG prices significantly increases inequality.Originality/Value: This research makes a novel contribution by focusing on LPG usage inequality across the provinces of Eastern Indonesia. The use of panel data analyzed through the FGLS-SUR method enables a more robust and precise identification of the determinants of inequality.Practical/Policy implication: The government should enhance the equity of energy distribution infrastructure, ensure price stability, and promote energy literacy as part of a just clean energy transition. Furthermore, improving educational attainment and strengthening micro, small, and medium enterprises (MSMEs) are essential to increasing public awareness, raising income levels, and stimulating regional economic development.
CONFIDENCE SHOCKS IN EMERGING MARKETS AND THEIR GLOBAL CONTAGION: INSIGHTS FROM G-CUBED SIMULATIONS Sofa, Wahyuni Andriana; Wahyuni, Ribut Nurul Tri; Kartiasih, Fitri
Jurnal Ilmiah Ekonomi Bisnis Vol. 30 No. 2 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The global economy has begun to recover from the global financial crisis (GFC), which occurred around 10 years ago, according to recent economic statistics.  However, investor confidence has declined in a number of significant emerging markets (EMEs) due to rising interest rates in the US and ongoing trade tensions between the US and China, potentially causing contagion effects worldwide. The worldwide impacts of the financial crisis in certain important EMEs, namely Argentina, Brazil, Turkey, and Russia (ABTR), as well as its widespread impact on raising global investment and consumption risk, are examined in this paper using the G-Cubed model for G-20 nations with six sectors.  According to the findings, because three distinct shocks struck at the same time in ABTR countries—where the initial shock emerged—they experience the most negative short-term effects of the confidence crisis.  The cost of capital rises as a result of the capital outflow from these nations, which causes firms to disinvest or reduce their capital stock. Households across all nations are also more likely to discount future income streams as a result of their increased risk assessment, which promotes more savings and lower spending.  Additionally, both developed and non-shocked emerging countries grew as a result of increased capital inflows, but their trade balances worsened due to exchange rate appreciation, which made the production decline worse.
Analisis Spasial Pengaruh Ekonomi Digital terhadap Kualitas Lingkungan Hidup di Indonesia Rosanti, Hanifah Putri; Kartiasih, Fitri; A'mal, Ikhlasul
Jurnal Aspirasi Vol 16, No 2 (2025)
Publisher : Pusat Analisis Keparlemenan Badan Keahlian Sekretariat Jenderal DPR RI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46807/aspirasi.v16i2.4148

Abstract

Abstrak: Saat ini, seluruh negara di dunia masih menghadapi tantangan serius terkait permasalahan lingkungan, yang sebagian besar disebabkan oleh aktivitas ekonomi yang tidak berkelanjutan. Masalah ini juga terjadi di Indonesia, di mana pembangunan ekonomi sering kali masih mengabaikan aspek keberlanjutan lingkungan. Dalam konteks ini, perkembangan ekonomi digital diyakini memiliki potensi untuk memberikan solusi melalui efisiensi penggunaan sumber daya dan pengurangan emisi. Namun, kajian mengenai pengaruh ekonomi digital terhadap kualitas lingkungan hidup, khususnya yang mempertimbangkan dimensi spasial, masih belum banyak ditemukan di Indonesia. Penelitian ini bertujuan untuk menggambarkan kualitas lingkungan hidup dan ekonomi digital di Indonesia, mengidentifikasi pola autokorelasi spasial, dan menganalisis pengaruh ekonomi digital terhadap kualitas lingkungan hidup pada periode 2015–2021. Penelitian ini menggunakan data sekunder yang diperoleh dari BPS dan KemenLHK yang dianalisis dengan metode regresi panel spasial. Hasil penelitian menunjukkan adanya indikasi hubungan yang tidak konsisten atau tidak kuat antara ekonomi digital dan variabel sosial ekonomi terhadap kualitas lingkungan hidup. Selain itu, ditemukan adanya hubungan spasial yang ditunjukkan oleh pola pengelompokan IKLH antarprovinsi di Indonesia. Penggunaan telepon seluler dan e-commerce berkontribusi positif terhadap kualitas lingkungan hidup, sedangkan penggunaan media sosial dan kepadatan penduduk berdampak negatif terhadap kualitas lingkungan hidup. Temuan ini menekankan pentingnya pemanfaatan energi ramah lingkungan dalam ekonomi digital untuk memastikan pertumbuhan ekonomi yang berkelanjutan. Selain itu, diperlukan kebijakan tata kelola ruang yang seimbang antara kawasan terbangun dan ruang terbuka hijau guna menjaga kualitas lingkungan hidup di Indonesia.
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