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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 Journal of Advanced Multidisciplinary Research Journal of Economics and Business UBS AKSELERASI: Jurnal Ilmiah Nasional CENDEKIA : Jurnal Ilmu Pengetahuan 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 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 Journal of Innovative and Creativity Jurnal Multidisiplin Indonesia Adpebi International Journal of Multidisciplinary Sciences International Journal of Indonesian Business Review International Journal of Management and Business Applied Agrinus: Jurnal Agro Marin Nusantara J-CEKI
Heikal, Jerry
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Reflecting internalization and manifestation of Sundanese cultural values on leadership communication styles in the mining industry (an ethnographic study at PT Petrosea, Tbk.) Fazarullah , Dwirizky; Heikal, Jerry
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 4 (2024): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i4.36208

Abstract

This research explores the influence of Sundanese cultural values on leadership communication styles at PT Petrosea, a mining company in Indonesia. This qualitative research employs an ethnographic approach and involves three leaders at PT Petrosea who have a strong Sundanese cultural background. Data were collected through participant observation and in-depth interviews, and then analyzed qualitatively. The results show that Sundanese cultural values, such as "someah hade ka semah" (being friendly and kind to everyone), "silih asih, silih asah, silih asuh" (loving each other, educating each other, and caring for each other), and "hade tahta hade bahasa" (harmony between position and speech), are internalized and manifested in their leadership styles. These values are reflected in communication styles that are "rame" (vivacious, lively, together) and "hegar" (warm, cheerful, positive), emphasizing harmony and teamwork, as well as the ability to adapt to various situations. This research recommends integrating local cultural values into the development of contextual and sustainable leadership models.
Factors affecting the decline in sea toll profits Setiawan, Budi; Heikal, Jerry
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 4 (2024): October
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v7i4.37374

Abstract

The Sea Toll Program represents Indonesia's strategic maritime connectivity initiative aimed at facilitating goods distribution, particularly in underdeveloped, remote, outermost, and border regions (3TP). This study examines the factors contributing to the program's declining profitability using qualitative methodology with an ethnographic approach through interviews, observations, and literature review. The research findings identify three primary factors: the high cost of replacement vessel rentals, reaching IDR 800 million per two months; port time exceeding the Department of Transportation's targets due to limited loading and unloading infrastructure; and difficulties in accessing fuel vendors in 3TP regions. These findings indicate the necessity for enhanced port infrastructure and operational efficiency to optimize the profitability of this program, which is vital for national economic equity.
Analisis Preferensi Konsumen dan Profil Pembeli di Industri Otomotif: Studi Kasus Pembelian Kendaraan di Wilayah Jabodetabek Puspita, Angela Candra; Setiawan, Budi; Ayu, Cita; Heikal, Jerry
AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis Vol. 4 No. 3 (2024): 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.v4i3.870

Abstract

This research aims to analyze consumer preferences for car models in the Jabodetabek area using K-Means Clustering technique with the assistance of SPSS program. Data were collected through distributed questionnaires covering demographic information, car usage habits, selection criteria, and preferences for car features. The questionnaires were distributed online to reach various segments of the population aged 23 and above who have an interest or intention to purchase a car. The collected data were analyzed using SPSS to identify consumer groups with similar characteristics. The analysis results show that the seventh cluster is the main target of the automotive four-wheel vehicle market in Jabodetabek, formed from seven clusters of several consumer segments with different preferences for car models and features. These segments can be used by the automotive industry to develop more effective and targeted marketing strategies. The research findings provide valuable insights into consumer preferences in Jabodetabek, which can help car manufacturers and dealers improve customer satisfaction and loyalty. Additionally, the results of this research can also serve as a reference for further research in the fields of marketing and consumer data analysis.
Success Secret of Top Management Japanese Employees in PT. Toyota Motor Manufacturing Indonesia by Using Ethnography Theory Setiawan, Budi; Heikal, Jerry
AKADEMIK: Jurnal Mahasiswa Ekonomi & Bisnis Vol. 4 No. 3 (2024): 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.v4i3.871

Abstract

The Toyota Company is a large company that is spread throughout the world. With the number of employees currently reaching 370 thousand people, Toyota strives to ensure that all employees can work according to the rules and can benefit the company's progress. So Toyota's top management opens up opportunities for expatriates or Japanese Toyota employees with achievements to occupy important positions in several Toyota affiliate organizations. 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 3 of secret of success of Japanese Employee such us 1. Discipline a part of your daily life (Shitsuke), 2. Understand and Applying the TOYOTA WAY, 3. Contribute to making improvements in current operations.
Financial Performance Clustering Changes in Infrastructure Companies in Indonesia During Covid 19 in 2021 and After Covid 19 in 2022 Deswita, Riyan Yulmi; Heikal, Jerry
Jurnal Ekonomi Bisnis, Manajemen dan Akuntansi (Jebma) Vol. 3 No. 2 (2023): Article Research Volume 3 Issue 2, July 2023
Publisher : Yayasan Cita Cendikiawan Al Kharizmi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/jebma.v3i2.2773

Abstract

Tujuan penelitian ini adalah untuk menilai kinerja keuangan perusahaan- perusahaan infrastruktur pada tahun 2021 masa pandemi covid 19 dan tahun 2022 saat pandemi covid 19 sudah melandai. Proses penilaian kinerja suatu perusahaan dapat dilihat dari rasio keuangan perusahaan, diantaranya adalah rasio profitabilitas dan rasio solvabilitas. Rasio keuangan yang digunakan adalah Return on Asset (ROA), Net Profit Margin (NPM) dan Debt to Equity Ratio (DER). Metode yang digunakan adalah metode kuantitatif dengan menggunakan analisis k-means clustering. Data yang digunakan adalah data sekunder dengan unit observasi sebanyak 57 perusahaan yang tergabung dalam Bursa Efek Indonesia (BEI). Hasil penelitian menunjukkan bahwa pada tahun 2021 ada 49 perusahaan yang tergabung dalam kelompok klaster dengan kinerja keuangan terbaik, 2 perusahaan pada klaster grade B, 2 perusahaan pada claster grade C, 3 perusahaan pada klaster grade D, dan hanya 1 perusahaan pada klaster dengan kinerja keuangan terburuk. Pada tahun 2022 jumlah perusahaan pada masing-masing klaster berubah akibat berubahnya kinerja keuangan perusahaan. Ditemukan 39 perusahaan pada klaster dengan rasio keuangan terbaik, 13 perusahaan pada klaster grade B, 3 perusahaan pada klaster grade C, 2 perusahaan pada klaster grade D, dan 1 perusahaan pada klaster dengan kinerja keuangan yang buruk.
Analisis Pengaruh Karakteristik Produk terhadap Niat Beli Ulang Pelanggan menggunakan Metode Regresi Logistik Biner Faisal, Faisal; Sari, Irma Ratna; Saraswati, Iska; Heikal, Jerry
AKADEMIK: Jurnal Mahasiswa Humanis Vol. 4 No. 3 (2024): AKADEMIK: Jurnal Mahasiswa Humanis
Publisher : Perhimpunan Sarjana Ekonomi dan Bisnis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37481/jmh.v4i3.1064

Abstract

The internet and television have become an inseparable part of the daily life of modern society. The function of the internet covers various aspects, from communication, entertainment, education, to work. On the other hand, television remains a medium of entertainment and information for many people. This study aims to identify dependent variables and determine the accuracy of the model used by data processing using the SPSS program to find out whether customers will make a repeat purchase or not. Based on the above reasons, the analysis will be conducted to assess the influence of product characteristics on the customer's desire to repurchase the add-on or upgrade the product currently in use, in an internet and TV service company and to identify and analyze the product characteristics that most significantly affect the customer's decision to purchase the same product again in the future. The method used is binary logistic regression. The results of the study showed a significant influence between the independent variable (X) internet speed used, the type of product used, and the type of network used on the dependent variable (Y) of the decision to rebuy (add on). For the results of the binary logistic regression classification table, it is known that the results of prediction and observation are 325 customers who do not Rebuy (add on), while those who are predicted and observed do Rebuy (add on) as many as 293 customers. The remaining 214 and 168 customers produced differences between prediction and observation, so that the percentage accuracy of the regression model in this study was obtained of 61.8%. Based on the results of binary regression analysis, we found that internet speed is a very influential factor for customers in purchasing additional products. Creating variations of additional products for internet speed upgrades is crucial and should be better considered by the product team. The right variations of speed upgrades are a solution to increasing the sales of additional products.
Grounded Theory Analysis on IT Consultant Company Survival Strategy in The Vuca Era Fauzan, Heri; Heikal, Jerry
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 7 No 2 (2024): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v7i2.4784

Abstract

This research was focused on how IT Consulting Companies can survive during the VUCA era (within scope 2020-2023). This research revealed the challenges during the VUCA Era and strategies to tackle the challenges. This research was conducted using grounded theory analysis, interviewing process, and gap analysis with the current theories. All methods are compiled together as a qualitative research approach. In this research, purposeful sampling was used to choose relevant respondents with minimum classification as a director level in an IT Consulting Company who knew about the company strategy and business environment during the in-scoped period. The coding process was done twice, the first coding process to map the challenges in the VUCA era and the second one to find out the strategy for VUCA challenges in the first coding results. The coding process gathered 23 codes for challenges in VUCA which were categorized into 9 categories and then became 5 themes. The result concludes that the top challenge in the VUCA era is customer engagement. The second coding process found the 23 strategies from all interviews and categorized them into 5 categories and then 4 themes. It concludes that the top priority strategy to survive during VUCA is a customer-driven approach strategy with many variations.
Enhancing Customer Segmentation in Online Transportation Services: A Comprehensive Approach Using K-Means Clustering and RFM Model Perdhana, Rizkita Bagus; Heikal, Jerry
Indonesian Interdisciplinary Journal of Sharia Economics (IIJSE) Vol 7 No 2 (2024): Sharia Economics
Publisher : Sharia Economics Department Universitas KH. Abdul Chalim, Mojokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31538/iijse.v7i2.4851

Abstract

In the rapidly evolving landscape of online transportation services, companies face complex challenges to maintain and expand their market positions. Understanding customer dynamics has become crucial for success, extending beyond mere acquisition to encompass retention. This study presents a comprehensive approach to customer segmentation in online transportation services using K-Means Clustering and the RFM Model. K-Means Clustering categorizes customers based on behavioral patterns, while the RFM Model provides a detailed insight into customer engagement in acquisition activities. The integration of these methodologies aims to enable companies to tailor services, enhance customer experiences, and formulate targeted marketing strategies. The analysis identifies 5 diverse customer groups: (1) Urban Luxury Commuters, (2) Non-Motorized Urban Users, (3) Tech-Savvy Urban Commuters, (4) Diverse Urban Commuters, and (5) Budget-Conscious Urban Commuters. Among these groups, the (2) Non-Motorized Urban Users group is the focus due to its high monetary value and the second-highest frequency level. Users in this cluster tend to transact frequently, indicating consistent and recent engagement with transportation services. Factors such as high transaction frequency and total transaction value underscore the importance of this cluster in generating overall revenue. Additionally, the research will consider additional factors such as user demographics, travel purposes, and promotional activities to further understand user behavior patterns in this cluster. The goal is to formulate targeted strategies to enhance user satisfaction, engagement, and potential revenue growth for transportation service providers. This study also introduces an RFM-based marketing program targeting different customer segments, such as (1) Platinum Membership, (2) Rush Hour Bonanza, (3) Bundle Extravaganza, (4) Revive and Thrive Offer, and (5) Back in the Saddle Campaign. Furthermore, the Refer-a-Friend Program encompasses all RFM segments, encouraging users to expand the network of online transportation service users. The seamless integration between customer segmentation and RFM-based initiatives has the potential to enhance customer retention, drive revenue growth, and improve operational efficiency, contributing significantly to adaptive business strategies in the dynamic online transportation services sector.
Digital Marketing Analysis of Mie Gacoan Customer at Jakarta Using RFM and K-Means Clustering Methode Alghifari Suhardi, Fitra; Saputro, Andi; Sri Nugroho, Amanda; Heikal, Jerry
Journal of Economics and Business UBS Vol. 13 No. 2 (2024): Regular Issue
Publisher : Cv. Syntax Corporation Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52644/joeb.v13i2.312

Abstract

PT. Pesta Pora Abadi or Mie Gacoan is an Indonesian company within the Food and Beverages industry that produces food using noodles. Mie Gacoan is currently thriving with hype and sales, and with those momentum supporting them, they want to take advantage of this moment to expand their business by analysing their customer to market more their products, but they still don’t know Segmentasi is a process of knowing customer characteristics to get profitable customers for the company. Segmentasi will be done by grouping the customers into x categories. This study aims to combine K-means clustering and RFM to analyze the customer segmentation of Mie Gacoan. This customer characteristics will help Mie Gacoan in decision making to prioritize their energy and resources to potential customers or profitable customers.
Identifying Customer Segmentation and Persona of Soft Drink Industry in India: An Approach Using K-Means Clustering Samudra Wicaksono, Muhammad Haston; Heikal, Jerry
Co-Value Jurnal Ekonomi Koperasi dan kewirausahaan Vol. 15 No. 3 (2024): Co-Value: Jurnal Ekonomi, Koperasi & Kewirausahaan
Publisher : Program Studi Manajemen Institut Manajemen Koperasi Indonesia Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59188/covalue.v15i3.4671

Abstract

Perkembangan industri makanan dan minuman terus maju dengan dukungan teknologi dan berbagai inovasi terbaru. Dalam kategori minuman ringan (soft drink), semakin banyak varian jenis dan penambahan rasa yang dibuat untuk menarik perhatian masyarakat. Pertumbuhan industri minuman ringan diperkirakan akan terus meningkat. Minuman ringan (soft drink) adalah minuman yang tidak mengandung alkohol, biasanya berbentuk bubuk atau cairan yang mengandung bahan makanan atau bahan tambahan lainnya, baik alami maupun sintesis, dan dikemas dalam kemasan siap konsumsi. Perusahaan minuman ringan dalam menentukan langkah untuk meningkatkan keuntungan, perlu memiliki strategi meningkatkan penjualan dengan mengetahui target konsumen supaya tidak kehilangan pelanggan potensial dan memiliki biaya iklan yang efektif dengan melakukan customer segmentation. Metode yang digunakan pada penelitian ini untuk melakukan segmentasi adalah dengan menggunakan Metode Kmeans clustering. Metode ini adalah salah satu algoritma pembelajaran tanpa pengawasan (unsupervised learning). K-Means berfungsi untuk mengelompokkan data ke dalam data kluster. Dataset pada penelitian ini menggunakan 1000 populasi transaksi minuman ringan di India. Hasil penelitian menunjukkan 7 kluster berbeda yaitu middle productive age of gangster softdrink lovers, Early Productive Age of Sky9 and CodeX Softdrink Lovers, Cocacola & Pepsi lovers, Pepsi Softdrink Lovers, middle productive age of Cocacola softdrink lovers, Early Productive Age of Cocacola Softdrink Lovers, dan Bluebull Softdrink Lovers. Cluster 6: Early Productive Age of Cocacola Softdrink Lovers merupakan kluster terbesar senilai 19% dari total populasi. Dengan ini maka perusahaan cocacola yang menargetkan Cluster 6 dapat melakukan positioning seperti menyesuaikan keinginan dari cutomer yang yaitu mengembangkan produk less sugar serta menggunakan online platform dalam melakukan marketing.
Co-Authors Agus Siswanto Akhsan, Lurinjani Alam, Taris Zakira Aldyah, Tika Alghifari Suhardi, Fitra Ali Wafa Amelia, Dona Andi Saputro 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 Arum Kusuma, Tiyanda Hanti 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 Doni Magat Harahap Dwi Ramadona, Dasatry Dwiputri, Rinta Agustiani 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 Fauzan, Heri Fazarullah , Dwirizky Ferli, Isfan 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 Herdiany, Gita Amira Heswara, Faisal 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 Mamonto, Fanjili Gratia Mangkuto, Shidiq Umar Marlina Marlina Moh. Masnur Muhammad Farhan Muhammad Ikhsan Muhammad, Tegar 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 Nurviriana, Savira Octavianson, Dave Nathanael Oki, Helzulmita Oktariani, Gulfi 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 Ramadani, Rizki Agung 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 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 Sutama, Aditya 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 Widiyanta, Antonius Hendri Widya Handayani Wulan, Mutia Karunia Antap Wulandari, Rayuli Wuryantadi, Dwi Yakub, Isnendi Yohana, Kesia Yudi Nugraha Bahar Yumarsa, Imam YUNI KURNIAWATI Zakaria, Dzaki Zulfahmi, Muhammad Riko Yohansyah