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All Journal Excellent Jurnal Mirai Management Asia-Pacific Management and Business Application Syntax Literate: Jurnal Ilmiah Indonesia Scientific Journal of Reflection : Economic, Accounting, Management and Business JURNAL PENDIDIKAN TAMBUSAI Jurnal Manajemen Strategi dan Aplikasi Bisnis Aptisi Transactions on Management Jurnal Riset Akuntansi Aksioma Jurnal Menara Ekonomi : Penelitian dan Kajian Ilmiah Bidang Ekonomi Dinasti International Journal of Education Management and Social Science EKONOMI BISNIS Jurnal Sains dan Teknologi JATI (Jurnal Mahasiswa Teknik Informatika) Emerging Markets : Business and Management Studies Journal Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal MSDA (Manajemen Sumber Daya Aparatur) JOURNAL OF BUSINESS AND ECONOMICS RESEARCH (JBE) BUDGETING : Journal of Business, Management and Accounting Jurnal Fokus Manajemen Bisnis Dinasti International Journal of Economics, Finance & Accounting (DIJEFA) Journal of Advanced Multidisciplinary Research Journal of Economics and Business UBS AKSELERASI: Jurnal Ilmiah Nasional CENDEKIA : Jurnal Ilmu Pengetahuan Jurnal Sosial dan Teknologi Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (JEBMA) International Journal of Applied Finance and Business Studies Co-Value : Jurnal Ekonomi, Koperasi & Kewirausahaan AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis AKADEMIK: Jurnal Mahasiswa Humanis Jurnal Locus Penelitian dan Pengabdian KNOWLEDGE: Jurnal Inovasi Hasil Penelitian dan Pengembangan Jurnal Ekonomika Dan Bisnis Economic Reviews Journal Asean International Journal of Business JRAP (Jurnal Riset Akuntansi dan Perpajakan) Jurnal Ekonomika Manajemen Dan Bisnis Jurnal Indonesia Sosial Sains Journal Research of Social Science, Economics, and Management Jurnal Pendidikan Indonesia (Japendi) Cerdika: Jurnal Ilmiah Indonesia Indonesia Accounting Research Journal Indonesian Research Journal on Education Eduvest - Journal of Universal Studies Applied Quantitative Analysis (AQA) Innovative: Journal Of Social Science Research Indo-Fintech Intellectuals: Journal of Economics and Business Business and Investment Review Jurnal Informatika Ekonomi Bisnis Enrichment: Journal of Multidisciplinary Research and Development Al-Tasyree: Jurnal Bisnis, Keuangan dan Ekonomi Syariah IIJSE Jurnal Sistem Informasi dan Manajemen Jurnal Akuntansi Sektor Publik Jurnal Media Akademik (JMA) Sainteks: Jurnal Sain dan Teknik Jurnal Multidisiplin Indonesia Adpebi International Journal of Multidisciplinary Sciences International Journal of Indonesian Business Review International Journal of Management and Business Applied Jurnal Abdimas Peradaban Agrinus: Jurnal Agro Marin Nusantara Jurnal Cendekia Ilmiah
Heikal, Jerry
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Clustering Customer’s Internet Subscriptions in Apartment Using K-Means Clustering Algorithm Chow, Sayuti; Hutabarat, Berman; sirya, Damara; Heikal, Jerry
AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis Vol. 5 No. 3 (2025): AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis
Publisher : Perhimpunan Sarjana Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37481/jmeb.v5i3.1514

Abstract

In Indonesia’s increasingly digital urban environment, internet service providers (ISPs) face challenges in delivering packages that suit the diverse needs of apartment residents. A one-size-fits-all strategy often leads to service mismatches and customer dissatisfaction. This study aims to address this gap by segmenting apartment-based internet subscribers in Jakarta, Surabaya, and Bandung using the K-Means clustering algorithm. The research utilized secondary data from 12,966 subscribers, incorporating key variables such as service package type, housing classification, payment method, and average revenue per user (ARPU). Through data preprocessing and cluster analysis using IBM SPSS, five distinct customer segments were identified, each representing specific behavioral traits and service preferences. These segments range from budget-conscious families to high-end users with complex service demands. Guided by the STP (Segmentation, Targeting, Positioning) framework and the 7Ps of marketing, two primary target segments Family Value Mid-Tier and Stream Pro Users were highlighted for their high market potential and alignment with strategic pricing. The findings contribute practical insights for ISPs in developing personalized broadband services and more efficient marketing strategies tailored to urban apartment markets. This research also demonstrates the value of data-driven segmentation in improving customer satisfaction and business competitiveness in the digital service sector.
Penelitian Etnografi : Dampak Sosial para Pekerja Shift di Network Operation Center (NOC) Hutabarat, Berman J; Sayuti, Sayuti; Heikal, Jerry
AKADEMIK: Jurnal Mahasiswa Humanis Vol. 5 No. 3 (2025): AKADEMIK: Jurnal Mahasiswa Humanis
Publisher : Perhimpunan Sarjana Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37481/jmh.v5i3.1693

Abstract

This study explores the social challenges experienced by shift workers in a telecommunication company, particularly those working at the Network Operation Center (NOC) of PT Link Net. Shift work is essential for maintaining uninterrupted network operations; however, it often disrupts workers’ ability to balance professional responsibilities with family and social life. The research aims to examine how shift schedules affect interactions with nuclear families, extended families, and community or hobby groups, as well as how workers adapt to these conditions. Using an ethnographic approach, data were collected through in-depth interviews and participant observation with five shift workers who met the study criteria. Thematic analysis revealed three main shared challenges: difficulty synchronizing schedules with family and friends, feelings of isolation due to limited opportunities for direct social interaction, and the need to allocate specific time to stay connected through digital platforms. These findings highlight how workers redefine “quality time,” shifting its meaning from duration to the depth of interaction. The study suggests that workplace policies should consider more flexible arrangements to support work-life balance and reduce the negative social impacts of shift work.
Investment Decisions On Indonesia Energy Sector Companies By Capital Asset Pricing Model Model Edison, Alva; Heikal, Jerry
International Journal of Indonesian Business Review Vol. 2 No. 2 (2023)
Publisher : Asosiasi Dosen Peneliti Ilmu Ekonomi dan Bisnis Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54099/ijibr.v2i2.701

Abstract

This research was conducted to analyze the level of investment feasibility in IDX index stocks for the 2022 period using the Capital Asset Pricing Model (CAPM) method in determining investment decisions. This type of quantitative research is descriptive. The population of this study is Oil & Gas Storage, Distribution companies listed on the IDX-IC index for the period January - December 2022. The samples are 8 company shares that meet the criteria set by the researcher. This study uses SPSS linear regression analysis to determine the beta coefficient of the Capital Asset Pricing Modeling (CAPM) method and compares the expected return with the stock market rate of return during the observation period to further distinguish between efficient and inefficient stocks. The results of the observations show that 7 companies have efficient shares and 1 company that has inefficient shares which can be seen in the SML Security Market Line (SML) graph or the securities market line (GPS) of the CAPM model for efficient shares and inefficient shares.
REGIONAL ORIGINAL REVENUE OPTIMIZATION THROUGH SERVICE USER SEGMENTATION UPTD CONSTRUCTION LABORATORY WITH K-MEANS CLUSTERING METHOD Ikhsan, Muhammad; Heikal, Jerry
Indo-Fintech Intellectuals: Journal of Economics and Business Vol. 5 No. 3 (2025): Indo-Fintech Intellectuals: Journal of Economics and Business (2025)
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ifijeb.v5i3.4064

Abstract

Pendapatan Asli Daerah (PAD) merupakan sumber penerimaan penting untuk pembiayaan pembangunan dan kemandirian daerah. UPTD Laboratorium Konstruksi Dinas PUPR Kota Payakumbuh berpotensi meningkatkan PAD melalui layanan peminjaman peralatan uji konstruksi, namun optimalisasinya memerlukan pemahaman mendalam tentang pengguna. Penelitian ini bertujuan mengoptimalkan PAD dengan segmentasi pengguna menggunakan K-Means Clustering. Data pelanggan periode Januari – November 2024 (51 pengguna) dianalisis berdasarkan atribut demografi, jenis pekerjaan, frekuensi layanan, total konstribusi PAD, dan sumber pendanaan. Hasil segmentasi menghasilkan tiga kluster: (1) Pengguna Massal Berkontribusi Stabil (36 pengguna), kontribusi total tinggi meski per individu rendah; (2) Pengguna Fokus Layanan dengan Kontribusi Tinggi (10 pengguna), intensif menggunakan layanan tertentu dengan kontribusi di atas rata – rata; (3) Pengguna Spesifik Premium (5 penguna), kontribusi rata – rata tertinggi melalui layanan Core Drill. Segmentasi ini membantu memahami pola penggunaan layanan dan merancang strategi terarah. Optimalisasi PAD dapat dilakukan melalui promosi untuk kluster 1, peningkatan kualitas layanan untuk kluster 2, serta ekspansi pasar premium untuk kluster 3. Penelitian ini memberikan kontribusi praktis dalam pengelolaan PAD dan akademis dalam penerapan analitik data untuk layanan publik, mendorong efisiensi dan inovasi UPTD Laboratorium Konstruksi.
Customer repurchase decision for the same brand of laptop product using binary logistic regression Mangkuto, Shidiq Umar; Saputra, Tubagus Chandra; Fadhilah, Savira Maghfiratul; Heikal, Jerry
International Journal of Applied Finance and Business Studies Vol. 13 No. 2 (2025): September: Applied Finance and Business Studies
Publisher : Trigin Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/ijafibs.v13i2.316

Abstract

The laptop industry faces significant challenges and opportunities amidst a dynamic and competitive market. Understanding the factors that influence consumers' repurchase decisions is crucial for laptop manufacturers and marketers to develop effective strategies. This research aims to analyze the factors that influence the decision to repurchase laptop products using the Binary Logistic Regression method. This research uses primary data from 271 respondents in Indonesia which was collected via an online questionnaire. Data analysis was carried out using Binary Logistic Regression. The dependent variable is the laptop repurchase decision (yes/no). Independent variables include age, gender, domicile, income, expenses, laptop price, and place of purchase. The analysis shows that income and place of purchase have a significant effect on the decision to repurchase a laptop. The prediction model has an overall accuracy of 62%, with an accuracy of 56.3% for predictions of not making a repeat purchase and 67.6% for predictions of making a repeat purchase. Other factors such as age, gender, domicile, expenditure and laptop price did not show a significant influence. The value proposition is based on the results of this research, namely segmenting the market based on income level and adjusting product needs for each segment so that each product released can be right on target.
Segmentation Of Medical Check-Up (MCU) Results Using K-Means Clustering for Health Risk Profile Identification Syarifudin, Syarifudin; Pamadia, Era; Heikal, Jerry
Jurnal Indonesia Sosial Sains Vol. 6 No. 10 (2025): Jurnal Indonesia Sosial Sains
Publisher : CV. Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jiss.v6i10.1901

Abstract

Medical Check-Up (MCU) is one of the methods of early detection of metabolic and cardiovascular disorders. Computational analysis of MCU results data can be used to group individuals based on their risk profiles, thereby supporting more targeted promotive and preventive strategies. This study aims to identify the segmentation of individual groups based on the clinical parameters of MCU results using the K-Means clustering method, as well as evaluate the potential of each cluster as a target for health interventions, especially in the context of positioning preventive products or services. This study used secondary data on MCU results which included 13 variables: age, systolic and diastolic blood pressure, body mass index (BMI), total cholesterol, fasting blood sugar, HDL, LDL, triglycerides, urea, creatinine, uric acid, and gender from 294 sample data. The data was analyzed using the K-Means algorithm to group individuals based on the similarity of their health profiles. Cluster validation is carried out through clinical interpretation and the characteristics of each cluster center. From the results of the analysis, five clusters with different characteristics were produced. One of the prominent clusters is Cluster 2, consisting of middle-aged men (average 44 years old) with high levels of total cholesterol, LDL, and triglycerides, but blood pressure and blood sugar are still within normal limits. This condition indicates a moderate metabolic risk that is still reversible. This cluster is seen as strategic to be used as a target for the development of preventive health-based digital products and services. MCU outcome-based segmentation through the K-Means clustering method is effective in identifying specific health risk groups. Cluster 2 has great potential as the main target of preventive intervention programs because of its medical profile that can still be improved and psychographic characteristics that support acceptance of digital and promotional approaches
SEGMENTASI PREFERENSI KONSUMEN TERHADAP PRODUK MAKANAN MENGGUNAKAN METODE K-MEANS CLUSTERING: STUDI KASUS DI PRINGSEWU, LAMPUNG Widodo, Teguh; Ardianto, Andi; Syam, Syahrul; Heikal, Jerry
CENDEKIA: Jurnal Ilmu Pengetahuan Vol. 5 No. 4 (2025)
Publisher : Pusat Pengembangan Pendidikan dan Penelitian Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51878/cendekia.v5i4.7120

Abstract

The local food business sector in semi-urban areas such as Pringsewu, Lampung, is increasingly influenced by the complex and dynamic shifts in consumer preferences. A limited understanding of market segmentation has made it difficult for micro, small, and medium enterprises (MSMEs) to develop effective product and marketing strategies. Therefore, this study aims to identify consumer preference segmentation for food products using the K-Means Clustering method and statistical analysis with SPSS, with a case study in Pringsewu, Lampung. The resulting segmentation is expected to provide a more structured understanding of consumer characteristics and the potential for local food business development by MSMEs. Data were collected through an online questionnaire distributed via platforms such as Google Forms and shared across local community WhatsApp groups in Pringsewu. Respondents came from diverse occupational backgrounds, including civil servants, teachers, police officers, private sector employees, and entrepreneurs. The questionnaire consisted of three main sections: demographic data, food preferences, and business potential. The data analysis identified five distinct consumer clusters: Spicy Instan, a group that prefers spicy and ready-to-serve meals; Mama Fit & Fresh, health-conscious consumers who prioritize nutrition; Petualang Rasa, adventurous individuals drawn to culinary variety and new experiences; Mas-mas Hemat, a price-sensitive and practical segment, particularly active in the field; and Sultan Rasa, consumers who associate high-quality food with professional lifestyle aspirations. This study highlights the importance of marketing strategy differentiation based on consumer segmentation, enabling businesses to reach their target markets more effectively. The resulting segmentation provides strategic insights for food entrepreneurs and MSMEs in designing more targeted products and marketing approaches. ABSTRAK Persaingan usaha makanan lokal di daerah semi-perkotaan seperti Pringsewu, Lampung, semakin dipengaruhi oleh perubahan preferensi konsumen yang kompleks dan dinamis. Minimnya pemahaman terhadap segmentasi pasar menyebabkan pelaku UMKM kesulitan dalam merancang strategi produk dan pemasaran yang tepat sasaran.Untuk itu, penelitian ini bertujuan mengidentifikasi segmentasi preferensi konsumen terhadap produk makanan menggunakan metode K-Means Clustering dan analisis statistik dengan SPSS, dengan studi kasus di Pringsewu, Lampung. Segmentasi ini diharapkan dapat memberikan gambaran yang lebih terstruktur mengenai karakteristik konsumen dan potensi pengembangan usaha makanan lokal oleh UMKM. Data dikumpulkan melalui survei kuisioner daring seperti Google Forms serta didistribusikan melalui media sosial seperti WhatsApp grup komunitas lokal masyarakat Pringsewu dengan responden berasal dari berbagai latar belakang seperti ASN, Guru, Polri, Karyawan Swasta hingga Wiraswasta. Kuisioner penelitian ini terdiri dari tiga bagian utama, yaitu Data Diri, Preferensi Makanan, dan Potensi Usaha. Analisis data menghasilkan lima klaster konsumen yang berbeda secara karakteristik, yaitu, Spicy Instan, kelompok yang menyukai makanan bercita rasa pedas dan mudah disajikan. Mama Fit & Fresh, konsumen yang memprioritaskan aspek kesehatan dan nutrisi dalam konsumsi pangan. Petualang Rasa, individu dengan ketertarikan tinggi terhadap variasi dan pengalaman kuliner baru. Mas-mas hemat, segmen yang mengutamakan efisiensi harga dan kepraktisan, terutama untuk aktivitas lapangan; dan Sultan Rasa, konsumen yang memilih produk makanan berkualitas tinggi sebagai bagian dari gaya hidup profesional. Penelitian ini menekankan pentingnya diferensiasi strategi pemasaran berdasarkan segmentasi konsumen, agar bisnis dapat secara optimal menjangkau target pasar yang sesuai. Segmentasi ini memberikan wawasan strategis bagi pelaku usaha maupun UMKM dibidang makanan dalam merancang produk dan strategi pemasaran yang lebih tepat sasaran.
User Segmentation of Digital Banking in The Jabodetabek Region Using The Python Based K-Means Clustering Method Nurlia, Siti Adinda; Utami, Sri; Salim, Susan Ratna; Heikal, Jerry
J-CEKI : Jurnal Cendekia Ilmiah Vol. 4 No. 6: Oktober 2025
Publisher : CV. ULIL ALBAB CORP

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56799/jceki.v4i6.12855

Abstract

The rapid rise of digital banking adoption in Indonesia, particularly in the Jabodetabek metropolitan region, has created both opportunities and challenges for financial institutions. Although usage levels are high, many digital banks still struggle to align their product features with the behavioral patterns and expectations of their users. This study applies Python based K-Means Clustering to segment 139 active digital banking users using demographic and behavioral variables, including age, occupation, income, usage duration, transaction types, and communication channels. The clustering process generated four user segments: (1) The Practical Young Worker, (2) The Entertainment Oriented Digital Native, (3) The Civil Service Functionalist, and (4) The Mature Entertainer. Among these, Cluster 2 emerged as the dominant segment (45%), consisting primarily of young female digital natives aged 18–25 who heavily consume entertainment services and are highly responsive to social media-driven promotions. Based on this finding, the study identifies Gen Z urban females as the target persona and proposes an Online Value Proposition (OVP), “A fun, stylish, and reward driven digital banking experience tailored for digital natives.” This research emphasises the importance of data driven segmentation, persona development, and STP alignment in enhancing user engagement and loyalty within Indonesia’s digital banking ecosystem.
Pola Konsumsi, Menabung, dan Investasi Pekerja Tambang Bersuku Jawa di Kalimantan: Studi Etnografi Konstruksi Realitas Finansial Prasasti, Ferdania; Heikal, Jerry
Indonesian Research Journal on Education Vol. 4 No. 3 (2024): irje 2024
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v4i3.992

Abstract

Penelitian ini mengkaji bagaimana kearifan lokal Jawa pada filosofi "alon-alon waton kelakon" membentuk realitas finansial dan perilaku ekonomi para pekerja tambang bersuku Jawa di Kalimantan. Dengan pendekatan etnografi, penelitian ini menggali bagaimana nilai-nilai budaya Jawa berinteraksi dengan dinamika industri pertambangan yang sarat risiko dan peluang finansial. Hasil penelitian menunjukkan bahwa filosofi "alon-alon waton kelakon" yang menekankan kehati-hatian, kecermatan, dan perencanaan jangka panjang, tercermin dalam pola konsumsi, menabung, dan investasi para pekerja tambang Jawa. Mereka cenderung memprioritaskan kebutuhan keluarga, mengalokasikan pendapatan untuk tabungan dan investasi, serta menghindari perilaku konsumtif yang impulsif. Kearifan lokal ini terbukti menjadi panduan berharga dalam mengelola keuangan di tengah ketidakpastian stabilitas pekerjaan di industri pertambangan, yang memungkinkan mereka membangun ketahanan finansial dan mencapai tujuan kesejahteraan jangka panjang. Temuan ini memberikan wawasan berharga tentang bagaimana kearifan lokal dapat berperan dalam membentuk perilaku ekonomi individu, serta memberikan implikasi praktis bagi program pendidikan literasi dan pemberdayaan finansial yang lebih efektif.
Pengaruh Kualitas Jasa Servis terhadap Kepuasan Pelanggan Perusahaan Servis Kalibrasi Alat Survey Geomatika di Jakarta dengan Binary Logistic Regression Watugilang, Ageng; Heikal, Jerry
Indonesian Research Journal on Education Vol. 4 No. 4 (2024): irje 2024
Publisher : Fakultas Keguruan dan Ilmu Pendidikan, Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/irje.v4i4.1027

Abstract

Penelitian ini menyelidiki hubungan antara kualitas layanan servis dan kepuasan pelanggan dalam industri jasa servis dan kalibrasi alat survey geomatika di Jakarta. Dengan menggunakan analisis Binary Logistic Regression untuk mengevaluasi dampak tujuh faktor kualitas layanan (Keandalan, Responsiveness, Jaminan, Empati, Bukti Langsung, Harga Terjangkau, dan Harga Produk) terhadap probabilitas pelanggan menyatakan kepuasan. Hasil analisis mengungkapkan bahwa hanya dua faktor yang secara statistik signifikan mempengaruhi kepuasan pelanggan: Jaminan (p-value = 0.009) dan Harga Produk (p-value = 0.030). Model regresi prediktif yang dihasilkan, y = 1 / (1 + exp^(5.885 - 1.673X1 + 0.730X2)), menunjukkan hubungan yang menarik, bahwa peningkatan persepsi pelanggan terhadap Jaminan justru menurunkan probabilitas kepuasan, sementara peningkatan Harga Produk memiliki efek positif. Evaluasi model menggunakan classification table menunjukkan akurasi prediksi sebesar 75%, menunjukkan bahwa model tersebut cukup andal dalam mengklasifikasikan pelanggan ke dalam kategori puas atau tidak puas berdasarkan persepsi mereka terhadap Jaminan dan Harga Produk. Temuan ini memberikan wawasan yang berharga bagi perusahaan jasa servis dan kalibrasi tersebut, dan menyarankan bahwa perusahaan harus fokus pada strategi yang bertujuan untuk mengoptimalkan Harga Produk dan secara hati-hati mengelola ekspektasi pelanggan terkait Jaminan untuk mencapai tingkat kepuasan pelanggan yang lebih tinggi.
Co-Authors Agus Siswanto Ahtisya, Syauqi Akhsan, Lurinjani Alam, Taris Zakira Aldyah, Tika Alghifari Suhardi, Fitra Ali Wafa Amelia, Dona Andi Saputro Anindyarta Adi Wardhana Anjarsari, Rosita Anne, Lisye Ira Apriani, Asti Arda, Edvidel Ardanesworo, Muhammad Feyzel Khalfani Putra Ardiansyah, Giri Teguh Ardianto, Andi Ariati, Ira Arrafi, Risa Eka Arthanugraha, Adam Awalludin Awalludin, Awalludin Ayu Pradina, Dinda Ayu Wulandari Ayu, Cita Azkia, Nayla Azwar , Tasrika Azwar, Meiriza Azwar, Tasrika Azzuhri, Muhammad Basyar Badri, Ahmad Kamal Budi Setiawan Chairani, Metha Erzha Chandra, Jimmy Chandra, Jon Hendra Saputra Chitra, Jimmi Chow, Sayuti Darma Tenaya, I Putu Risky Daswirman, Daswirman Daulay, Risma Yanti Dawam, Khaerud Deden Nurjaman Desmalina, Desmalina Deswita, Riyan Yulmi Devi, Rizky Feliana Diah Utami, Diah Dilla Sistesya Dinar Fasya, Diva Doni Magat Harahap Dwi Ramadona, Dasatry Dwirahmawati, Retno Dzulqornain, Muhammad Edison, Alva Elfira, Renti Enny Enny Enny Widawati Erwan Erwan, Erwan Esvandiary Iswari, Neisya Fachry Abda El Rahman Fadhilah, Savira Maghfiratul Fadilla, Triana Gustiani Faisal Faisal Fajarini, Nurfahma Fasya, Diva Dinar Fauzan, Heri Fazarullah , Dwirizky Finnia Ayu Kirana, Astried Firdaus, Aulia Fitria, Yossa Gandhi, Ayu Gelvi, Gelvi Givianty, Vasya Theodora Gunawan, William Ben Gusmeri, Gusmeri Hanifeliza, Rury Hardiyanti Hardiyanti Hariandja, E N Budiyanto Harsemarozi, Harsemarozi Hasahatan, Alex Fernando Hasibuan, Muhammad Satir Hendrawan, Erwan Herdianto Herdianto, Herdianto Herdiany, Gita Amira Herry K, Raras Hindrawan, Dimas Humaira, Putri Syifa Hutabarat, Berman Hutabarat, Berman J Jaya, Hamka Putra Julian, Ahmad Kamaratih F, Yositalida Kettipusem, Sri Polya Kevry Ramdany kharisma, Gilang Kornela, Andhini Kristianto, Fajar Kurinawan, Haby Kurniawati, Yuni Kusumaningrum, Indah Liestiani, Annisa Mafatir Romadhon, Damar Maharani, Sella Sakilla Mangkuto, Shidiq Umar Mardiyanto, Joko Marlina Marlina Moh. Masnur Muhammad Farhan Muhammad Ikhsan Muhammad, Tegar Mulyani, Sarah Mulyanto, Imam Arie Mulyo, Iksan Adityo Mulyono, Rynto Muzakkar, Milastri Nazmi, Fittria Ningsih, Andria Nisa, Khairi Norsa, Reza Nugraha Nugrahmi, Lidya Nugroho, Septiadi Nugroho, Yusuf Wahyu Nur Aulia, Reza Nurlia, Siti Adinda Nurrela, Nisa Nurseha, Muhammad Ikhsan Nurviriana, Savira Octavianson, Dave Nathanael Oki, Helzulmita Oktarini, Dwi Indah Olivia Olivia Osthar, Fidy Rachman Pamadia, Era Pambudi, Adhy Priyo Pangestuti, Intan Panka Gumilang Passalaras, Raja Aulia Payoka, Netty Perdana, Gemilang Adi Perdhana, Rizkita Bagus Permadiyansach, Bambang Prabowo, Heru Pradina, Dinda Ayu Praditya , Rizqy Gumilar Praditya, Rizqy Gumilar Pramono Hadi Prasasti, Ferdania Pratama, Renaldo Pratiwi Pratiwi Purwanto, Muhammad Rizki Puspita Dewi, Puspita Puspita, Angela Candra Puteri, Cita Ayu Riyadi Putra Jaya, Hamka Putra, Abhiyoga Deyandra Putra, Rahmad Yunendri Putri, Annisa Nurwanda Putri, Juandela Herina Putri, Maya Seruni Rachman Zarkasih, Aditya Rachmawatie, Srie Juli Rafanio, Kevin Raharjo, Bangkit Widhi Rahmadeni Rahmadeni Rahmawati, Nurmalinda Rahmi, Mutia Ramadhan, Andi Ramadhan, Andika Ramadhan, Yufiansyah Wahyu Reynaldi, Jaka Rica Rica, Rica Ridwan, Dadang Riyani, Sari Safangati, Ainun Salim, Susan Ratna Salwa, Elja Samsul Arifin Samudra Wicaksono, Muhammad Haston Sani, Fitroh Baherudin Santosa, Suhari Saputra, Tubagus Chandra Saraswati, Iska Sari, Irma Ratna Sari, Nimas Indah Fatimah Saumananda Suroso, Nurinda Savitri, Fania Mutiara Sayuti Sayuti Sekar Ndini, Ayu Sembodo, Giri Sembodo, Giry Setiawan, Dolis Shabrina, Andi sirya, Damara Siswanto, Fajar Hartanto Sitinjak, Jeklin Sodikin Sodikin Soviatun, Nuria Sri Mulyaningsih Sri Nugroho, Amanda Sri Utami Sugino, Agus Suhardi, Fitra Alghifari Sukmayanti, Andini Wulan Suryani, Rahmah Suududdin, Suududdin Syafer, Erdimen Syahfitri, Fenny Syam, Syahrul Syarah, Irra Siti Syarifudin Syarifudin Syarrah, Ira Siti Syawaldi Afwan, Ahmad Syawaludin, Rahmat Taufiqillah, Rizal Teguh Widodo Terah, Yochebed Anggraini Threezardi, Ricki Tonggo, Andohar Triesna Ratulina Tuwindar, Tuwindar Wahyuningsih, Nia Watugilang, Ageng Wicaksono, Muhammad Haston Samudra Widya Handayani Wulan, Mutia Karunia Antap Wulandari, Rayuli Wuryantadi, Dwi Yakub, Isnendi Yohana, Kesia Yudi Nugraha Bahar YUNI KURNIAWATI Zakaria, Dzaki Zulfahmi, Muhammad Riko Yohansyah