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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
Subdirektorat Statistik Pertambangan dan Energi, Badan Pusat Statistik
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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DAMPAK URBAN SPRAWL TERHADAP PRODUKTIVITAS TENAGA KERJA DI INDONESIA Wahyuni, Ribut Nurul Tri; Sofa, Wahyuni Andriana; Kartiasih, Fitri
Jurnal Ilmiah Ekonomi Bisnis Vol 30, No 1 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/eb.2025.v30i1.11313

Abstract

Peningkatan urban sprawl di Indonesia cukup masif sejak perubahan sistem pemerintahan dari sentralisasi menjadi desentralisasi. Peningkatan tersebut bisa berdampak pada produktivitas tenaga kerja, namun dampaknya masih bersifat ambigu. Penelitian ini bertujuan untuk mengetahui hubungan antara urban sprawl dan produktivitas tenaga kerja di kabupaten/kota pada tahun 2022 dengan menggunakan instrumental variable - two stage least squares (IV-2SLS). Urban sprawl menggambarkan rata-rata proporsi undeveloped land di radius 1,5 km dari lingkungan tempat tinggal penduduk. Hasilnya membuktikan bahwa urban sprawl berhubungan negatif dengan produktivitas tenaga kerja, terutama di kabupaten/kota berpenduduk padat dan di Jawa. Hasil ini menyiratkan bahwa kebijakan anti urban sprawl di kabupaten/kota berpenduduk padat dapat meningkatkan produktivitas tenaga kerja. Kabupaten/kota dengan urban sprawl rendah cenderung menarik penduduk berpendidikan tinggi. Ini mungkin menyebabkan produktivitas di kabupaten/kota tersebut tinggi. Selain itu, urban sprawl dikaitkan dengan upah yang rendah. Perusahaan yang berada di urban sprawl bisa memiliki produktivitas yang lebih rendah, namun kerugian tersebut sebanding dengan pembayaran upah yang rendah ke tenaga kerja. Meskipun demikian, urban sprawl memungkinkan tenaga kerja tinggal dekat dengan tempat kerja sehingga upah yang rendah belum tentu mencerminkan penurunan kesejahteraan tenaga kerja.
Comparison of ARIMA and LSTM Methods in Predicting Jakarta Sea Level Hilal, Yanuar Nurul; Nainggolan, Gibson Daniel Andrianto; Syahputri, Sabilla Hamda; Kartiasih, Fitri
Jurnal Ilmu dan Teknologi Kelautan Tropis Vol. 16 No. 2 (2024): Jurnal Ilmu dan Teknologi Kelautan Tropis
Publisher : Department of Marine Science and Technology, Faculty of Fisheries and Marine Science, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitkt.v16i2.52818

Abstract

Dalam menghadapi risiko yang signifikan akibat kenaikan permukaan air laut yang dipicu oleh perubahan iklim, Jakarta sebagai kota pesisir memiliki kebutuhan mendesak untuk mengembangkan strategi yang efektif guna mengantisipasi dan memitigasi potensi dampak negatif. Dalam menghadapi tantangan ini, prediksi menjadi kunci untuk mengantisipasi dan meminimalkan dampak negatif yang mungkin timbul dari kenaikan permukaan air laut. Oleh karena itu, penelitian dilakukan dengan tujuan memperbandingkan kinerja dua metode prediksi, yaitu Autoregressive Integrated Moving Average (ARIMA) dan Long Short-Term Memory (LSTM). Kedua metode ini diaplikasikan untuk meramalkan tinggi permukaan air laut hingga akhir tahun 2023. Dalam mengevaluasi kualitas kedua model prediksi, digunakan metrik kinerja seperti Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), dan Root Mean Square Error (RMSE). Hasil analisis menunjukkan bahwa model ARIMA (1,1,4) lebih efektif dalam memprediksi tinggi permukaan air laut dibandingkan LSTM. ARIMA (1,1,4) memiliki nilai MAE 7,19, MAPE 4,86%, dan RMSE sebesar 10,35. Sementara itu, hasil forecasting dari kedua model didapatkan bahwa ketinggian permukaan air laut Jakarta diprediksi relatif stabil. Studi ini diharapkan dapat memberikan kontribusi yang signifikan dalam pemahaman serta mitigasi potensi dampak kenaikan permukaan air laut di Jakarta sebagai hasil dari perubahan iklim.
The Impact of Digital Technology on Environmental Quality: Empirical Evidence from Indonesia Kartiasih, Fitri; Rosanti, Hanifah Putri; Miswa, Sabrina Do; Hakim, Arif Rahman
Signifikan: Jurnal Ilmu Ekonomi Vol 14, No 1 (2025)
Publisher : Faculty of Economic and Business Syarif Hidayatullah State Islamic University of Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/sjie.v14i1.44874

Abstract

Research Originality: This research investigates how digital technologies influence environmental quality in Indonesia.Research Objectives: This study examines the impact of digital technologies and socioeconomic variables on environmental quality in Indonesia.Research Methods: This study employs the System-Generalized Method of Moments (GMM) approach and analyzes data from 2013 to 2023. Key variables include digital technology, gross regional domestic product (GRDP), foreign direct investment (FDI), and mean years of schooling.Empirical Results: Computer ownership negatively impacts environmental quality due to higher energy consumption and e-waste. In contrast, GRDP improves environmental quality as wealthier regions invest in green infrastructure and stricter policies. FDI has a harmful effect, supporting the ‘pollution haven’ hypothesis of resource exploitation and unsustainable practices. Education fosters environmental awareness, though its influence is still limited.Implications: Digital technologies can enhance environmental quality, requiring strategic planning and continuous innovation by central and local governments.JEL Classification: O11, O13, Q56How to Cite:Kartiasih, F., Rosanti, H.P., Miswa, S.D., & Hakim, A.R. (2025). The Impact of Digital Techonologies on Environmental Quality: Empirical Evidence from Indonesia. Signifikan: Jurnal Ilmu Ekonomi, 14(1), 77-92. https://doi.org/10.15408/sjie.v14i2.44874.
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.
Impact of Coal Export Decline on East Kalimantan's Mining and Coal Industry Randa, Abigail Brenda Pasorong; Rohmat, Erwin Agung Nur; Oktaviana, Lisda; Albab, Muhammad Hafiz; Kartiasih, Fitri
Journal of Developing Economies Vol. 10 No. 1 (2025)
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jde.v10i1.61414

Abstract

Two of Indonesia’s top export commodities are coal and lignite. However, there is a decrease in the value of coal exports in 2023. The province in Indonesia with the biggest coal reserves is East Kalimantan. This study aims to examine the condition of the mining and coal industry and its relationship with other industries, determine the leading sectors, and assess the impact of the decline in coal exports on the economy of East Kalimantan. The input-output and gross regional domestic product tables for East Kalimantan in 2016 and 2023 are used in the analysis. This study found that even though it is not a leading industry, the mining and coal sector is still an important sector for the economy of East Kalimantan. All economic sectors experienced a decline in output due to the decline in the value of coal exports (mining products) in East Kalimantan, and this sector alone felt the greatest impact—around 73.67% of the total impact in all economic sectors. To process and purify coal produced during mining, the government must establish close communication with business owners in the coal mining industry. Apart from that, the development of the downstream coal industry must also be completed immediately.
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
Global Economic Dynamics and Its Impact on Indonesian Trade: Multi-Regional Input-Output Analysis Approach Zajidah, Annisa Muthi; Widyastuti, Dyah; Samosir, Immanuel Nicholas Fransepta; Simamora, Patrick Noel; Kartiasih, Fitri
Cendekia Niaga Vol. 9 No. 1 (2025): Jurnal Cendekia Niaga : Trade and Development Studies
Publisher : Pusat Pengembangan Kompetensi Aparatur Perdagangan

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

Abstract

This study investigates the impact of economic dynamics on international trade using a multiregional analysis of Input-Output table. Multiplier effect analysis is used to study how a sector affects both the domestic economy and the economies of partner countries. Employing forward linkage and backward linkage values to analyze the linkages, determine which sectors are superior in international trade operations. The impact of partner countries' economies on Indonesia's economy is then simulated. The results show that Indonesia tends to rely on imports and exports connected to manufacturing. The manufacturing, chemical and chemical goods, and paper and printing industries are the main drivers of foreign trade. Furthermore, when Indonesia goes through a recession, the ASEAN nations typically have a big influence on the national economy. So economic diversification, domestic consumption stimulus, and building economic resilience are needed.
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
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