Article Per Year (5 Year)
p-Index From 2021 - 2026
7.52
P-Index
This Author published in this journals
All Journal Jurnal Teknik Industri Jurnal Keuangan dan Perbankan Trikonomika: Jurnal Ekonomi Indonesian Journal of Science and Technology Jurnal Ilmiah Econosains Format : Jurnal Imiah Teknik Informatika Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Bisnis dan Manajemen NUSANTARA : Jurnal Ilmu Pengetahuan Sosial YUME : Journal of Management JURISMA: Jurnal Riset Bisnis & Manajemen Majalah Ilmiah UNIKOM Jurnal Ilmu Politik dan Komunikasi FIRM: Journal of Management Studies Didaktik : Jurnal Ilmiah PGSD STKIP Subang Indonesian Community Service and Empowerment Journal (IComSE) Jurnal Ekonomi Bisnis Dan Industri (EBI) Jurnal Sains Manajemen Journal of Economics, Management, Business And Accounting (JEMBA) Jurnal Administrasi Bisnis (J-Adbis) International Journal of Entrepreneurship & Technopreneur (INJETECH) International Journal of Research and Applied Technology (INJURATECH) DIVAGATRA - Jurnal Penelitian Mahasiswa Desain International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Journal Of World Science Jurnal Sains Informatika Terapan (JSIT) MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Journal of Artificial Intelligence and Digital Business Jurnal Riset Hukum, Ekonomi Islam, ekonomi, Manajemen dan Akuntansi Journal Research of Social Science, Economics, and Management Eduvest - Journal of Universal Studies Jurnal Ilmiah Bisnis dan Ekonomi Asia (Jibeka) Jurnal Manajemen Informatika, Sistem Informasi dan Teknologi Komputer (JUMISTIK) ASEAN Journal for Science and Engineering in Materials ASEAN Journal of Educational Research and Technology Jurnal Manajemen, Bisnis dan Kewirausahaan Integrated System and Management Technology Software Engineering in Computing Systems Jurnal Nasional Komputasi dan Teknologi Informasi Optimal: Jurnal Ekonomi dan Manajemen
Eddy Soeryanto Soegoto
Program Studi Manajemen, Fakultas Ekonomi Dan Bisnis, Universitas Komputer Indonesia
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Neuroscience Social Sciences Other

Published : 65 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 65 Documents
Search

 3   4   5   6   7 
Analisis Peran Soft Skills dalam Mengintegrasikan Kecerdasan Buatan pada Model Bisnis Technopreneur Muda Popon Dauni; Eddy Soeryanto Soegoto; Tri Utomo Wiganarto
FORMAT Vol 15 No 2 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2026.v15.i2.008

Abstract

Di era ekonomi digital yang dinamis, keberhasilan technopreneur muda tidak lagi hanya bergantung pada penguasaan teknologi, melainkan pada sinergi dengan soft skills yang efektif. Penelitian ini bertujuan untuk menganalisis pengaruh soft skills terhadap kinerja technopreneur muda, khususnya dalam menghadapi tantangan pasar yang disruptif. Metode penelitian yang digunakan adalah kualitatif dengan pendekatan studi literatur (library research) terhadap berbagai jurnal nasional dan internasional bereputasi dalam rentang waktu lima tahun terakhir. Hasil kajian menunjukkan bahwa soft skills seperti kepemimpinan transformasional, komunikasi persuasif, dan kemampuan berpikir kritis berkorelasi positif terhadap efektivitas manajerial dan inovasi bisnis. Temuan ini menegaskan bahwa soft skills berperan sebagai katalisator dalam mengintegrasikan teknologi canggih, seperti Artificial Intelligence (AI) dan Big Data, ke dalam model bisnis untuk menciptakan keunggulan kompetitif yang berkelanjutan. Kesimpulannya, penguasaan soft skills merupakan determinan utama bagi technopreneur muda untuk menavigasi kompleksitas etika dan operasional di era otomatisasi. Keberhasilan integrasi ini menuntut keterlibatan aktif institusi pendidikan dalam menyediakan jalur pembelajaran yang dipersonalisasi dan inklusif. Selain itu, penguatan kolaborasi antara inkubator bisnis dan ekosistem industri menjadi langkah strategis. Integrasi kerangka kerja etika ke dalam kurikulum menjadi krusial untuk menavigasi dilema moral akibat otomatisasi sistem.
Transformasi Digital Technopreneurship Perempuan melalui Business Model Canvas Berbasis Artificial Intelligence Sri Erina Damayanti; Eddy Soeryanto Soegoto; Tri Utomo Wiganarto
FORMAT Vol 15 No 2 (2026)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2026.v15.i2.009

Abstract

Keterbatasan literasi digital, inovasi produk yang monoton, serta tata kelola model bisnis konvensional membatasi keberlanjutan ekonomi UMKM perempuan di pedesaan. Penelitian ini bertujuan merancang dan mengimplementasikan model transformasi digital technopreneurship perempuan melalui rekonstruksi Business Model Canvas (BMC) berbasis Artificial Intelligence (AI) pada komunitas Saparantu Ecocraft di Desa Bojong, Kabupaten Cianjur. Menggunakan pendekatan Participatory Action Research (PAR) berbasis kerangka Agile dalam tiga siklus iteratif selama enam bulan, penelitian ini mengintegrasikan platform AI generatif (ChatGPT, Midjourney, Canva AI) ke dalam sembilan elemen BMC. Hasil penelitian membuktikan integrasi AI mampu menekan biaya operasional pemasaran hingga 85% (dari Rp2.000.000 menjadi Rp300.000/bulan), merealisasikan diversifikasi dari 0% produk bernilai tambah menjadi 5 jenis produk interior baru, meningkatkan trafik digital sebesar 300% dan konversi penjualan sebesar 45%, serta meningkatkan skor kesiapan digital perajin dari 1,8 menjadi 4,4 (skala 5,0). Penelitian ini memberikan kontribusi ilmiah berupa model konseptual transformasi digital inklusif yang mengintegrasikan kecerdasan buatan, inovasi model bisnis adaptif, dan pemberdayaan perempuan berbasis kearifan lokal.
ARTIFICIAL INTELLIGENCE SEBAGAI ENABLER TECHNOPRENEURSHIP DALAM PENGUATAN EKOSISTEM DIGITAL UMKM KOPERASI Harun AS; Muhammad Helmi; Eddy Soeryanto Soegoto; Rahma Wahdiniwaty; Irfan Dwiguna Sumitra
HEI EMA : Jurnal Riset Hukum, Ekonomi Islam, Ekonomi, Manajemen dan Akuntansi Vol. 5 No. 2 (2026): July
Publisher : Prodi Hukum Ekonomi Syariah, STI Syariah AL-Hilal SIgli

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61393/heiema.v5i2.515

Abstract

Digital transformation driven by national policies, including Presidential Instruction No. 3 of 2021 and Presidential Regulation No. 2 of 2024 on the National Artificial Intelligence Strategy, has reshaped the entrepreneurial landscape, particularly for Micro, Small, and Medium Enterprises (MSMEs). This transformation has encouraged the development of technopreneurship by positioning technology as a primary source of value creation and competitive advantage. Although Artificial Intelligence (AI) has been prioritized as a strategic technology in Indonesia’s digital transformation agenda, existing studies predominantly conceptualize AI as a technical tool rather than an entrepreneurial capability that shapes technopreneurial orientation and behavior. This study aims to analyze the role of AI as an enabler of technopreneurship in strengthening the digital ecosystem of cooperative-based MSMEs through a holding approach. A conceptual research design employing a systematic synthesis of the literature on technopreneurship, artificial intelligence, dynamic capabilities, MSME holdings, and digital ecosystems was applied. The findings indicate that AI functions as a collective entrepreneurial capability that strengthens sensing, seizing, and transforming capacities in business development. The integration of AI within holding schemes and digital ecosystems enables MSMEs to enhance collaboration, operational efficiency, innovation, and sustainable competitiveness.
Analisis Technopreneurship Sistem Smart OBM Berbasis IoT Untuk Mitigasi ODOL Dan Efisiensi Operasional Angkutan Barang Setiawan, Raden Budi; Soegoto, Eddy Soeryanto; Wahdiniwaty, Rahma; Bachtiar, Adam Mukharil; Sumitra, Irfan Dwiguna
Jurnal Administrasi Bisnis Vol. 6 No. 1 (2026): Mei 2026
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/jab.v6i1.13796

Abstract

Penelitian ini menganalisis rancangan Smart On-Board Mass (Smart OBM) berbasis Internet of Things sebagai inovasi technopreneurship untuk meningkatkan pengawasan muatan dan efisiensi operasional angkutan barang. Penelitian menggunakan pendekatan kuantitatif eksplanatori berbasis simulasi karena implementasi Smart OBM belum tersedia luas sebagai objek uji lapangan di Indonesia. Dataset terdiri atas 60 observasi truck-month yang dibangun dari laporan resmi, standar teknis, regulasi, dan skenario operasi legal versus ODOL. Data dianalisis menggunakan regresi jalur dan uji mediasi bootstrap 5.000 resampling. Hasil simulasi menunjukkan bahwa Smart OBM berpengaruh positif terhadap efisiensi operasional (a = 44,796; p < 0,001; CI 95% = 39,675-49,916), sedangkan efisiensi operasional berpengaruh positif terhadap kelayakan bisnis (b = 0,618; p < 0,001; CI 95% = 0,466-0,769). Efek tidak langsung sebesar 27,716 dengan CI bootstrap 95% = 21,607-33,433 menunjukkan mediasi penuh. Temuan ini memperlihatkan bahwa teknologi kepatuhan berpotensi menciptakan nilai bisnis melalui penghematan biaya dan stabilitas operasi, namun perlu divalidasi melalui pilot project.
Pemanfaatan Artificial Intelligence sebagai Strategi Technopreneurship dalam Meningkatkan Daya Saing UMKM Digital Ridwan Zulkifli; Eddy Soeryanto Soegoto; Tri Utomo Wiganarto
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 4 (2026): Agustus, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/b1zaq611

Abstract

Abstrak - Perkembangan artificial intelligence (AI) memperluas cara pelaku usaha mikro, kecil, dan menengah (UMKM) membangun nilai bisnis, melayani pelanggan, serta mengambil keputusan di pasar digital. Artikel ini bertujuan menganalisis pemanfaatan AI sebagai strategi technopreneurship untuk meningkatkan daya saing UMKM digital melalui pendekatan studi literatur. Hasil kajian menunjukkan bahwa AI dapat memperkuat daya saing melalui analisis pasar, personalisasi pemasaran, layanan pelanggan, efisiensi operasional, dukungan keputusan keuangan, dan inovasi produk. Namun, manfaat AI bergantung pada literasi digital, kualitas data, kesiapan proses bisnis, keamanan informasi, dan pendampingan ekosistem. Artikel ini menegaskan bahwa AI perlu diposisikan sebagai kapabilitas strategis yang diterapkan bertahap, terukur, dan tetap dikendalikan manusia dalam proses pengambilan keputusan bisnis. Kata kunci: artificial intelligence; technopreneurship; UMKM digital; daya saing; transformasi digital;   Abstract - The development of artificial intelligence (AI) expands how micro, small, and medium enterprises (MSMEs) create business value, serve customers, and make decisions in digital markets. This article analyzes AI utilization as a technopreneurship strategy to strengthen the competitiveness of digital MSMEs through a literature review approach. The findings show that AI can enhance competitiveness through market analysis, marketing personalization, customer service, operational efficiency, financial decision support, and product innovation. However, AI benefits depend on digital literacy, data quality, business process readiness, information security, and ecosystem support. This article argues that AI should be positioned as a strategic capability that is implemented gradually, measurably, and with continuous human oversight in business decision-making Keywords: artificial intelligence; technopreneurship; digital MSMEs; competitiveness; digital transformation;
Klasterisasi Potensi Technopreneur Mahasiswa Informatika Menggunakan Algoritma K-Means Muhamad Nawawi; Eddy Soeryanto Soegoto; Tri Utomo Wiganarto
Jurnal Nasional Komputasi dan Teknologi Informasi Vol. 9 No. 4 (2026): Agustus, 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/rnmbvr87

Abstract

Abstrak - Perkembangan teknologi digital mendorong meningkatnya kebutuhan akan technopreneur yang mampu mengintegrasikan kemampuan teknologi dan kewirausahaan dalam menciptakan inovasi bisnis. Mahasiswa Program Studi Informatika memiliki potensi untuk menjadi technopreneur karena memiliki kompetensi di bidang teknologi informasi. Namun demikian, karakteristik dan tingkat potensi technopreneur mahasiswa masih beragam sehingga diperlukan pendekatan yang mampu mengidentifikasi kelompok mahasiswa berdasarkan karakteristik tersebut. Penelitian ini bertujuan untuk mengelompokkan potensi technopreneur mahasiswa Informatika menggunakan algoritma K-Means berdasarkan variabel literasi digital, self-efficacy, motivasi kewirausahaan, dan intensi technopreneur. Penelitian menggunakan pendekatan kuantitatif dengan metode data mining. Data diperoleh melalui penyebaran kuesioner kepada 53 mahasiswa Program Studi Informatika Universitas X. Proses analisis dilakukan melalui tahapan preprocessing data, penentuan jumlah klaster, dan klasterisasi menggunakan algoritma K-Means. Hasil penelitian menunjukkan terbentuk dua klaster dengan kualitas klaster yang baik berdasarkan nilai Silhouette Score sebesar 0,57 pada klaster 1 (C1) dan 0,55 pada klaster 2 (C2). Klaster 1 terdiri dari 33 mahasiswa dengan karakteristik potensi technopreneur sedang, sedangkan klaster 2 terdiri dari 20 mahasiswa dengan karakteristik potensi technopreneur tinggi. Motivasi kewirausahaan menjadi variabel dengan nilai tertinggi pada kedua klaster, sedangkan intensi technopreneur merupakan variabel yang paling membedakan karakteristik antar klaster. Hasil penelitian menunjukkan bahwa pendekatan K-Means mampu mengidentifikasi segmentasi potensi technopreneur mahasiswa dan dapat digunakan sebagai dasar dalam penyusunan program pengembangan kewirausahaan berbasis teknologi yang lebih tepat sasaran di perguruan tinggi. Kata kunci: Technopreneur; Mahasiswa Informatika; Literasi Digital; K-Means Clustering; Data Mining; Abstract - The rapid growth of digital technology has increased the demand for technopreneurs who can integrate technological capabilities with entrepreneurial skills to create innovative business solutions. Informatics students have the potential to become technopreneurs due to their technological competencies. However, students' technopreneurial potential varies, requiring an approach capable of identifying groups based on their characteristics. This study aims to cluster the technopreneurial potential of Informatics students using the K-Means algorithm based on digital literacy, self-efficacy, entrepreneurial motivation, and technopreneurial intention. A quantitative approach with a data mining method was employed. Data were collected through questionnaires distributed to 53 Informatics students. The analysis process included data preprocessing, determination of the optimal number of clusters, and clustering using the K-Means algorithm. The results revealed two klasters with good cluster quality, indicated by Silhouette Scores of 0.57 for Cluster 1 and 0.55 for Cluster 2. Cluster 1 consisted of 33 students with moderate technopreneurial potential, while Cluster 2 consisted of 20 students with high technopreneurial potential. Entrepreneurial motivation was the highest-rated variable in both clusters, while technopreneurial intention was the most distinguishing variable between clusters. These findings indicate that the K-Means approach can effectively identify segments of student technopreneurial potential and provide a basis for developing more targeted technology-based entrepreneurship programs in higher education. Keywords: Technopreneurship; Informatics Students; Digital Literacy; K-Means Clustering; Data Mining;
SITAMPAN: Mobile application for planting and harvesting of horticultural crops in Garut Regency Eddy Soeryanto Soegoto; Lia Warlina; Sri Supatmi; Agis Abhi Rafdhi; Rizky Jumansyah; Herry Saputra
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 12 No. 3 (2022): Matrix: Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v12i3.123-136

Abstract

Garut Regency’s agriculture sector has the most impact on the region’s GDP compared to other sectors. The Central Statistics Agency reports that the agricultural sector’s contribution was 39.11% in 2014 and will be 37.97% in 2020. The farmer’s inability to manage their crop goods is the primary cause of the contribution decline. The study aims to build a prototype of a mobile application information system for planting and harvesting. commodities based on a geospatial information system. The research method used was field surveys, interviews, and focus group discussions (FGD) with farmers, farmer group leaders, agricultural extension workers, and officials at Garut Regency Agriculture Office. The designed application is Sitampan which stands for Sistem Informasi Tanam dan Panen (Planting and Harvesting Information System). The users of this application are farmers, farmer group leaders, agricultural extension workers, and Garut Regency Agriculture Office. Each user will have a specific role and access based on their roles. The public can only see the data contained in this application. In conclusion, this app can serve as a platform for information and communication for farmers. Farmers can use this app as a decision-making tool to manage their crops, including when to sell, plant, and harvest. Hopefully, this application will enhance the welfare of farmers, particularly those in Garut district, one of the industries that have the most impact on the Indonesian agricultural sector.
Blockchain Technology as a Security Media for E-Commerce Transaction Process Eddy Soeryanto Soegoto; E Elfiyah; N Adilah; N H Kamil
International Journal of Research and Applied Technology Vol. 4 No. 1 (2024): International Journal of Research and Applied Technology (INJURATECH)
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injuratech.v4i1.13839

Abstract

The purpose of this study is to design the application of blockchain technology in an e-commerce service. The method used in this research was qualitative descriptive analysis and supported by literature studies. The results show that applying this technology can reduce the potential loss of tax fraud in VAT reporting. Blockchain technology implementation is done to solve fraud, limit contact between purchases and sellers, and misuse personal data by increasing security and transparency by applying cryptocurrency in payments. This technology is also reliable to solve the problems of taxation and improve the efficiency of tax digitization. So it can be concluded that in the future, blockchain technology is one of the security systems for making e-commerce transactions and payment systems that are easier, more efficient, and well-documented so that can reduce fraud in VAT reporting by e-commerce.
Implementasi Model Bisnis Dan Strategi Pengembangan Smart Hiking Menggunakan Business Model Canvas Dan SWOT Anggun Fergina; Eddy Soeryanto Soegoto; Tri Utomo Wiganarto
Jurnal Sains Informatika Terapan Vol. 5 No. 2 (2026): Jurnal Sains Informatika Terapan (Juni, 2026)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v5i2.1206

Abstract

Meningkatnya aktivitas pendakian gunung di Indonesia mendorong kebutuhan terhadap layanan digital yang mampu mendukung persiapan pendakian secara lebih aman dan terstruktur. Namun, inovasi teknologi tidak hanya membutuhkan pengembangan fitur, tetapi juga model bisnis yang mampu menjelaskan bagaimana nilai diciptakan, disampaikan, dan menghasilkan keberlanjutan bisnis. Penelitian ini bertujuan untuk merancang model bisnis dan strategi pengembangan Smart Hiking sebagai aplikasi pendukung aktivitas pendakian berbasis kecerdasan buatan menggunakan pendekatan Business Model Canvas (BMC) dan analisis SWOT. Penelitian ini menggunakan metode kualitatif deskriptif melalui wawancara dengan pengembang aplikasi, observasi terhadap konsep layanan, serta dokumentasi pendukung. Hasil penelitian menunjukkan bahwa Smart Hiking memiliki proposisi nilai melalui integrasi rekomendasi perlengkapan berbasis kecerdasan buatan, informasi cuaca secara real-time, data jalur pendakian, dan dukungan mitigasi risiko dalam satu platform. Penelitian ini menunjukkan bahwa kombinasi Business Model Canvas dan SWOT dapat menjadi pendekatan strategis dalam merancang model bisnis digital pada tahap awal pengembangan.
Unlocking Business Performance through Artificial Intelligence Adoption: The Role of Innovation Capability in Technopreneurship Arif Rachmat Darmawan; Eddy Soeryanto Soegoto; Ganieva Nasiba Shukhrat Kizy
International Journal of Entrepreneurship & Technopreneur (INJETECH) Vol. 6 No. 1 (2026): June, 2026
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/injetech.v6i1.20781

Abstract

Artificial Intelligence (AI) is continuing as a technology with strategic importance for the improvement of competitiveness of small and medium-sized enterprises (SMEs). However, the ways by which AI is creating value for business are not fully clarified. The present study brings forward a conceptual system, where it describes how the adoption of AI is influencing business performance by means of innovation capability in SMEs of Indonesian technopreneurs. A systematic review of literature was carried out through examination of latest investigations concerning AI adoption, innovation capability, business performance, as well as technopreneurship. Insights were synthesized from Resource-Based View (RBV), Dynamic Capability Theory (DCT), and also from the Technology–Organization–Environment (TOE) framework. The framework that has been proposed indicates AI adoption by itself does not sufficiently lead to improvement in business performance. This can only occur when companies encounter development of organisational capability for transforming technological resources into innovation. This theoretical viewpoint indicates that the capability of innovation serves as the strategic system, which connects adoption of AI to sustainable performance in businesses. It does this through the integration of dimensions technological, organisational, as well as environmental.
Co-Authors Adam Mukharil Bachtiar Adani Ghina Puspita Sari Adhea Vinora Putri Agis Abdi Rafdhi Agis Abhi Rafdhi Agung Nugraha Agus Mulyana Agustin, Nada Delia Ahmad Budi Sulistioyuwono Airine Hananiah Akbar, Aldi Mohamad Albar, Chepi Nur Anggun Fergina Arif Rachmat Darmawan Asep Bayu Dani Nandiyanto Bachtiar, Adam Mukharil Bobi Kurniawan, Bobi Burhanuddin Burhanuddin Chepi Nur Albar Cindy Nuke Mardika Cut Dinda Sara Daniel Maruli Debora Siahaan Dedi Sulistiyo Soegoto Dian Dharmayanti Dicky Kurniawan Dina Oktafiani Dostnazar Ximmataliyev E Elfiyah Fadillah, Ismail Hudan Fahmi Muhamad Mukhliansyah Firmansyah Firmansyah Fitri Febriyanti Fristaloka, Gina Dwi Ganieva Nasiba Shukhrat Kizy Goh Kang Wen Hani Irmayanti Harun AS Hayati, Euis Neni Hayin Ananta Herdiansyah Pratama Ginanjar Herman Soegoto Hernalom Sitorus Herry Saputra Hewa Majeed Zangana Hidayat Hidayat Ilham Zaki Iluh Sri Purwani Imanuel Eko Anggun Sugiyono Ipan Ripai Irawan Afrianto Irfan Dwiguna Sumitra Irine Sofianty Juliana Karin Karina Nurhidayah Lia Warlina Linda Norhan Lingga Puspita Handayani Luckyardi, Senny Lukito Angga Prasakti Lusianto Lusianto M Mulyanto Makalalag, Sukiman Mari Maryati Maryati, Mari Maulana, Hanhan Mohamad Akbar, Aldi Mohd. Kamir Yusof Muhammad Ananta Hafidz Muhammad Habibi Putera Muhammad Helmi Muhammad Ikhlas Naufalsyah Ranau Muhammad Irfan N Adilah N H Kamil Nada Archy Dhafina Nadia Putri Nabilah Nadia Tahiyyah Alifia Natalia, Tri Widiati Nawawi, Muhamad Novia Aenu Rizqi Nurintang Nurintang Nurul Amelia Popon Dauni Puri Swastika Gusti Krisna Dewi Putera, Muhammad Habibi Raden Budi Setiawan Ragadhita, Risti Rahma Wahdiniwanty Rahma Wahdiniwaty Rahma Wahdiniwaty Rahmadani, Indri Kristanty Raka Pradana Kostarian Rania Febiananda Ria Anggraeni Rina Maryanti Rio Yunanto Riska Endah Septiani Rita Sari Puspita Rizal Rachman Rizky Jumansyah Rofi Fadilah Madani Saputra, Herry Senny Luckyardi Shinta Wanda Kusuma Modjo Soegoto, Dedi Sulistiyo Sri Erina Damayanti Sri Supatmi Sri Yuliawati Sufa Atin Sugilar, Audya Pridita Sumitra, Irfan Dwiguna Suryatno Wiganepdo Soegoto Sutisnawati, Yayah Theresia Valentina Lumban Gaol Tiara Salsabila Tomas Chochole Tri Utomo Wiganarto Tri Widianti Natalia Wellga Berlianti Zainal Arifin Hasibuan Zanjabil Zulkarnain Zuli Priyanto zulkifli, ridwan