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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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Peran Internal Audit terhadap Kualitas Laporan Tata Usaha Gudang PT. PLN (Persero) Unit Induk Sulawesi, Maluku, Papua, dan Nusa Tenggara Sani, Fitroh Baherudin; Heikal, Jerry
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.15261

Abstract

Penelitian ini mengkaji peran penting audit internal dalam menjaga kualitas laporan tata usaha gudang pada PT PLN (Persero) Unit Induk Sulawesi, Maluku, Papua, dan Nusa Tenggara. Penelitian ini mengadopsi paradigma eksplanatori dengan pendekatan kuantitatif untuk menganalisis pengaruh audit internal (X) terhadap kualitas laporan tata usaha gudang (Y), dengan menggunakan sampel jenuh nonprobability sampling dari seluruh karyawan gudang dan dengan instrumen kuesioner yang teruji validitas dan reliabilitasnya. Analisis regresi linier sederhana mengungkapkan hubungan positif dan signifikan antara peran audit internal dan kualitas laporan tata usaha gudang (koefisien regresi = 0,120; p-value = 0,005). Koefisien determinasi (R²) sebesar 0,209 mengindikasikan bahwa audit internal menjelaskan 20,9% variasi dalam kualitas laporan tata usaha gudang. Uji F yang dilakukan menunjukkan bahwa model regresi secara keseluruhan signifikan dalam menjelaskan variasi kualitas laporan tata usaha gudang (F hitung = 8,980 > F tabel = 4,13; p-value = 0,000). Sementara itu, uji T mengonfirmasi pengaruh signifikan variabel X terhadap Y dengan nilai T-hitung 2,997 yang melampaui T-tabel 2,03324 pada tingkat signifikansi 0,005. Hasil ini menegaskan bahwa model regresi yang digunakan memiliki kemampuan prediksi yang baik serta menggarisbawahi bahwa peran audit internal secara individual memiliki dampak yang signifikan terhadap kualitas laporan tata usaha gudang. Hasil penelitian ini secara keseluruhan menegaskan adanya hubungan positif dan signifikan antara peran internal audit, yang mencakup aktivitas audit, rekomendasi audit, dan tindak lanjut audit, dengan kualitas laporan tata usaha gudang yang diukur melalui dimensi akurasi, ketepatan waktu, kelengkapan, dan relevansi informasi, khususnya dalam perusahaan BUMN strategis seperti PT PLN (Persero) yang bergerak di sektor ketenagalistrikan yang memiliki peran strategis dalam pembangunan nasional.
Consumer Loyalty of Smartphone Users in the Jabodetabek by Binary Analysis Puteri, Cita Ayu Riyadi; Setiawan, Budi; Puspita, Angela Candra; Heikal, Jerry
Innovative: Journal Of Social Science Research Vol. 4 No. 6 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i6.15388

Abstract

Penelitian ini bertujuan untuk menganalisis pengaruh harga, fungsi produk, kualitas produk, dan layanan purna jual terhadap loyalitas pengguna handphone di area Jabodetabek. Metode analisis yang digunakan adalah regresi logistik biner dengan menggunakan transformasi logit untuk mengestimasi probabilitas perilaku loyal berdasarkan variabel independen yang diukur. Data dikumpulkan melalui survei terhadap pengguna handphone di wilayah Jabodetabek. Hasil penelitian menunjukkan bahwa kualitas produk dan layanan purna jual memiliki pengaruh yang signifikan terhadap loyalitas pengguna handphone, sementara harga dan fungsi produk tidak berpengaruh secara signifikan. Temuan ini memberikan pemahaman yang lebih baik tentang faktor-faktor yang mempengaruhi perilaku loyalitas pengguna handphone di pasar yang kompetitif. Berdasarkan hasil penelitian, tujuan utama perusahaan handphone adalah untuk meningkatkan kualitas produk dan layanan purna jual guna meningkatkan loyalitas pengguna. Segmentasi pasar yang tepat juga diperlukan untuk mengidentifikasi kelompok konsumen yang paling responsif terhadap peningkatan kualitas dan layanan. Dengan memahami preferensi dan kebutuhan konsumen, perusahaan dapat menargetkan strategi pemasaran yang lebih efektif dan relevan. Pasar handphone di area Jabodetabek memiliki karakteristik yang beragam, mulai dari pengguna yang mencari harga terjangkau hingga yang mengutamakan kualitas produk dan layanan purna jual. Oleh karena itu, perusahaan handphone perlu melakukan segmentasi pasar yang cermat dan menargetkan upaya pemasaran mereka secara spesifik untuk setiap segmen pasar. Dengan demikian, perusahaan dapat memaksimalkan pengaruhnya dalam meningkatkan loyalitas pengguna handphone di wilayah Jabodetabek.
Ethnography Study: How to Manage Financial Condition in the Capital/Urban City DKI Jakarta Situation Among Minangkabau Ethnis, West Sumatera Alam, Taris Zakira; Heikal, Jerry
Innovative: Journal Of Social Science Research Vol. 4 No. 6 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i6.15389

Abstract

The Minang tribe is one of the tribes in Indonesia that have ‘migrated customs’ (merantau). The word ‘merantau’ itself is a manifestation of leaving the original territory and occupying other new territory. Individuals Minangkabau and businesses have had to adapt to the situation when they moved to the capital/urban city and has required to manage their financial strategies to weather the storm. This study is to understand how to manage financial condition in the capital/urban city DKI Jakarta situation among Minangkabau Ethnis, West Sumatra. This research is a qualitative research using Ethnography Method. Data collection was carried out by In-depth interviews, life-histories, and documentary data. From the results of this study, it can be concluded that there are difference personal statement between the subject relate to social norms and preferences to select the financial management and business that would like to get into. For the shared values/points, there are three shared values/points from the subjects in how to manage financial condition in in the capital city among from Minangkabau ethnis. There are a need to set clear financial goals; If required additional fund: try finding sources of funds, monitoring budget compare with implementation, flexible and keep updating with the current situation, and comprehensively understanding the plan by keeping open mind to be updated the relevant factors, investment strategy for the future, and how to face the difficult situation in the capital city. The research uses a survey via interview developed by Taris Zakira Alam (2023). Participants were asked 11 questions about their financial conditions before “Merantau” and after “Merantau”, financial behavior, financial planning, about their self-efficacy related to money, self-efficacy refers to a feeling of being able to deal effectively with a situation, investment target and planning. Those questions were included because self-efficacy issues are critical factors in determining whether people believe they are capable of making changes in the financial behavior and knowledge areas that are being measured in the evaluation process.
Analyzing the Use of Klik XYZ Application by Members of Koperasi XYZ with the Binary Logistic Regression Method Syarah, Irra Siti; Heikal, Jerry
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.15677

Abstract

Advances in technology and the internet allow users to conduct transactions through mobile applications, including bill payments and product purchases. Koperasi XYZ has developed the Klik XYZ application to improve the efficiency and convenience of its members in shopping. This study aims to analyze the factors that influence the use of Klik XYZ application by cooperative members using binary logistic regression method. The variables analyzed include age, gender, frequency of access, and customer satisfaction. The analysis results show that age, gender, and customer satisfaction have a significant influence on purchasing decisions. The binary logistic regression model built has an overall accuracy rate of 89.3%, with a prediction accuracy of 90.7% for purchase behavior and 87.6% for non-purchase behavior. The findings can be used by XYZ to develop more effective marketing strategies by targeting members based on their age, gender, and satisfaction level. In addition, improving service quality and user experience can increase customer satisfaction, which in turn can increase purchase rates. By implementing the right marketing strategy, it is expected to improve XYZ's sales performance in the future and assist the cooperative in providing optimal service to its members.
Application of Binary Logistic Regression Method Using Python to Analyze the Effect of Ease of Use, Administrative Costs and Preferences on the Probability of Student Decisions Choosing Payment Channels for Course Registration Using Bank Mandiri Suryani, Rahmah; Praditya, Rizqy Gumilar; Sembodo, Giry; Heikal, Jerry
Innovative: Journal Of Social Science Research Vol. 4 No. 3 (2024): Innovative: Journal Of Social Science Research (Special Issue)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i3.15679

Abstract

This study analyzes the factors that influence Open University students' decision to choose Bank Mandiri payment channel for course registration. Using binary logistic regression method with Python, this study explores the influence of ease of use, administrative costs, and student preference on the probability of choosing Bank Mandiri. Data from 200 students were analyzed using variables such as age, gender, ease of use of mobile banking application, transaction fees, and student preference. Model evaluation using confusion matrix and ROC curve showed good performance with Area Under the Curve (AUC) 0.84. This study revealed that factors such as ease of use and transaction fees strongly influence students' decisions in choosing payment channels. The results show that the model has 78% accuracy with three significant variables with values below 5%: ease of use, transaction costs, and student preferences. Evaluation using ROC curves showed good model performance with an AUC of 0.84. This research aims to improve UT and Bank Mandiri payment services and provide insight into the adoption of financial technology in the education sector.
Customer Renewal Prediction for Motor Vehicle Insurance Using Binary Logistic Regression in PT XYZ Insurance Hendrawan, Erwan; Zakaria, Dzaki; Salwa, Elja; Heikal, Jerry
Innovative: Journal Of Social Science Research Vol. 4 No. 6 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i6.16478

Abstract

Asuransi kendaraan bermotor merupakan salah satu produk asuransi yang banyak diminati oleh masyarakat. Namun, mempertahankan pelanggan untuk terus memperpanjang polis asuransi mereka merupakan tantangan yang signifikan bagi perusahaan asuransi. Penelitian ini bertujuan untuk melihat prediksi pembelian berulang (second purchase/renewal) poduk asuransi kendaraan di PT XYZ Insurance serta mengidentifikasi dan menganalisis faktor-faktor yang mempengaruhi keputusan perpanjangan polis asuransi kendaraan bermotor dengan menggunakan model regresi logistik biner. Model ini dipilih karena kemampuannya dalam memprediksi probabilitas terjadinya suatu peristiwa berdasarkan variabel independen yang ada. Variabel-variabel independen yang diteliti dalam penelitian ini meliputi usia nasabah, jenis produk, premi, pembayaran dan tenor polis. Hasil analisis menunjukkan bahwa model regresi binari logistik ini mampu mengidentifikasi variabel independen yang signifikan berpengaruh terhadap keputusan pembelian berulang produk asuransi kendaraan. Secara khusus, usia nasabah memiliki pengaruh signifikan dengan koefisien 0.19, sementara tenor memiliki pengaruh yang sangat signifikan dengan p-value <0.01. Dari seluruh data nasabah yang dianalisis, model ini memprediksi bahwa 15% nasabah akan melakukan pembelian berulang (renewal) terhadap produk asuransi kendaraan. Di sisi lain, diprediksi bahwa 75% nasabah tidak akan melakukan pembelian berulang. Hasil ini menunjukkan bahwa variabel usia dan tenor memiliki peran penting dalam menentukan keputusan pembelian berulang nasabah asuransi kendaraan. Temuan ini dapat memberikan implikasi praktis bagi perusahaan asuransi dalam merancang strategi pemasaran dan retensi pelanggan yang lebih efektif, dengan fokus pada segmen usia tertentu dan pengelolaan tenor asuransi yang lebih optimal. Penelitian lebih lanjut disarankan untuk mengeksplorasi variabel lain yang mungkin berpengaruh dan menggunakan metode analisis yang berbeda untuk memperkuat prediksi perpanjangan pelanggan asuransi kendaraan bermotor.
FACTORS OF USING CASHLESS TRANSACTIONS IN RETAIL BUSINESS USING GROUNDED THEORY Givianty, Vasya Theodora; Kurinawan, Haby; Julian, Ahmad; Heikal, Jerry
AKSELERASI: Jurnal Ilmiah Nasional Vol 6 No 1 (2024): AKSELERASI: JURNAL ILMIAH NASIONAL
Publisher : GoAcademica Research dan Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54783/jin.v6i1.909

Abstract

Today's technological developments have been able to influence almost all business sectors so that business actors inevitably have to be able to keep up with these technological developments if they want to survive in the business world. One sector that is very dynamic following these developments is the banking sector. Developments in this sector have a domino effect on other sectors because banking acts like a bridge between business actors. The product results from this sector which can be said to be one of the factors changing consumer behavior is e-banking which encourages the creation of cashless (non-cash) transactions. Apart from that, the increasing type and number of smartphones has contributed to the growth of transactions via e-banking. This research uses qualitative techniques with a grounded theory approach. The author conducted direct interviews with several business actors in the retail sector to determine the influence of e-banking in increasing transactions. Based on the research results, it was found that the coding scheme consisted of 17 codes which formed 7 categories and gave rise to 3 themes with a total frequencies of 25. The highest frequency in coding was 12 on the theme of ease of transactions and 10 on the theme of security so that the factors that influence the use of cashless e-banking are making it easier. buying and selling transactions of business actors in the retail sector and reducing the risk of fraud during transactions compared to increasing transaction volume.
Decision-Making Techniques using LSTM on Antam Mining Shares before and during the COVID-19 Pandemic in Indonesia Badri, Ahmad Kamal; Heikal, Jerry; Nurjaman, Deden Roni; Terah, Yochebed Anggraini
APTISI Transactions on Management (ATM) Vol 6 No 2 (2022): ATM (APTISI Transactions on Management: July)
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33050/atm.v6i2.1776

Abstract

Stocks, apart from having volatile and chaotic characteristics, also have various kinds of noise, non-linear and non-stationary movements, making them difficult to predict accurately. Therefore, the risk of investing in stocks depends on the skills of investors or traders in making judgments and decisions. This study aims to use Long Short-Term Memory (LSTM) as a decision-making technique with historical stock prices as the sole predictor, then implement it in conditions before and during the COVID-19 pandemic. The study results concluded that Long Short-Term Memory (LSTM) could be used as a decision-making technique in conditions before and during the COVID-19 pandemic with historical price inputs as the sole predictor. Based on the research that has been done, the following conclusions can be drawn: The LSTM model can predict stock prices well using historical stock prices as the sole predictor. The LSTM model can be used as a trading decision-making technique for day traders. The risk of stock prediction using the LSTM method in 2019 before the COVID pandemic was proven to be lower than in 2020 during the COVID pandemic. For further research, researchers can conduct more in-depth research on the risk criteria for making trading decisions as an essential reference that can be used to select the LSTM model.
Customer Segmentation Based on Rfm Analysis as The Basis of Marketing Strategy Case Study of Crude Palm Oil Product in Palm Oil Industry Syahfitri, Fenny; Heikal, Jerry
Enrichment: Journal of Multidisciplinary Research and Development Vol. 2 No. 8 (2024): ENRICHMENT: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v2i8.186

Abstract

Nowadays so many palm oil companies sell the product to potential buyer to maximize their revenue, so they need to understand the customer's data better in all aspects. Segmenting the customers according to their data became extrem important in this context. This study aims to explore customer segmentation using RFM (Recency, Frequency, and Monetary) analysis as a basis for developing an effective marketing strategy for Crude Palm Oil (CPO) products in the palm oil industry. In this paper, i used data of crude palm oil sales database that obtained from digital platform named Customer Relationship Management (CRM) System and Auction by E-commerce involving 56 buyers by 2.499 transactions. After the scoring and data processing, the number of customers for each RFM Score is obtained, then the Monetary group is segmented which is divided into 27 Labels and grouping to 11 (eleven) Labels of Buyer’s Company, Engaged (8), Loyal (9), Potential (9), Affair (14), Broke Up (3), No Hurt Feeling (1), Disappointed (2), Agony (1), Broken Heart (3), Hurt Feeling (3) and Lost Feeling (3). By using RFM analysis, it can effectively creating a marketing strategy to increase the status of potential customer to the loyal customer to increase the corporate’s revenue and to improve corporate’s value added.
Analysis Of Student’s Participation in Extracurricular Class at Sekolah Citamulia Using RFM Model Firdaus, Aulia; Heikal, Jerry
Enrichment: Journal of Multidisciplinary Research and Development Vol. 2 No. 8 (2024): ENRICHMENT: Journal of Multidisciplinary Research and Development
Publisher : International Journal Labs

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55324/enrichment.v2i8.187

Abstract

The cognitive development of children, as well as the academic performance of students, can be influenced by various factors. One of these factors is students' active involvement in extracurricular activities outside the classroom. These activities are supplementary programs designed to facilitate students' interests and talents in specific fields. It is crucial to maintain a high level of student participation because active participation significantly impacts cognitive and academic improvement. The objective of this study is to assess the level of active student participation by categorizing students based on their engagement using the RFM (Recency, Frequency, Monetary) method. The second objective is that, once the student engagement mapping is established, it will allow for targeted programs and policies tailored to each group, thereby enhancing overall student participation in extracurricular activities. In this RFM method, recency represents the date of the student’s most recent attendance at an activity. Frequency represents the total number of student attendances, and monetary represents the total nominal amount spent. The data was collected from January to September 2024, involving 250 students participating in extracurricular activities. Generally, the RFM output reveals student segmentation based on activity can be categorized into seven groups, which are Ashamed, Nice Tried, Bored, Initiative, Committed, Excited, and Passionate. Based on these results, several policies can be formulated according to the conditions of each student.
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