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All Journal International Journal of Electrical and Computer Engineering IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Reconfigurable and Embedded Systems (IJRES) Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) JMM17: Jurnal Ilmu Ekonomi dan Manajemen Jurnal Manajemen Teori dan Terapan Journal of Information Systems Engineering and Business Intelligence Journal of Natural Sciences and Mathematics Research R.E.M (Rekyasa Energi Manufaktur) Jurnal Jurnal Ilmiah Ekonomi Islam Teknika: Engineering and Sains Journal Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control BAREKENG: Jurnal Ilmu Matematika dan Terapan ASRO JOURNAL - STTAL STTAL POSTGRADUATE - INTERNATIONAL CONFERENCE Zeta - Math Journal Prosiding Seminar Nasional Sains dan Teknologi Terapan Multitek Indonesia : Jurnal Ilmiah Care : Jurnal Ilmiah Ilmu Kesehatan Mathvision : Jurnal Matematika Systemic: Information System and Informatics Journal Education and Human Development Journal Community Development Journal Journal of Electronics, Electromedical Engineering, and Medical Informatics Specta Journal of Technology Community Service Journal of Indonesia Jurnal Tecnoscienza REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Layanan Masyarakat (Journal of Public Service) Indonesian Journal of Cultural and Community Development Indonesia Berdaya Walisongo Journal of Information Technology Jurnal Kedaymas Journal of Health Community Service Indexia Islamic Banking : Jurnal Pemikiran dan Pengembangan Perbankan Syariah Pattimura International Journal of Mathematics (PIJMath) Semanggi: Jurnal Pengabdian kepada Masyarakat Prosiding Seminar Nasional Pengabdian Kepada Masyarakat Indonesian Research Journal on Education Jurnal Pengembangan Masyarakat Lokal Parameter: Jurnal Matematika, Statistika dan Terapannya
Teguh Herlambang
Universitas Nahdlatul Ulama Surabaya
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Optimized Kalman filtering in dynamical environments for thumb robot motion estimation Herlambang, Teguh; Susanto, Fajar Annas; Firdaus, Aji Akbar; Kusuma, Vicky Andria; Suprapto, Sena Sukmananda; Muhaimin, Muhaimin; Arof, Hamzah
International Journal of Reconfigurable and Embedded Systems (IJRES) Vol 13, No 3: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijres.v13.i3.pp512-519

Abstract

Stroke, a prevalent nerve disorder in Indonesia, necessitates post-stroke rehabilitation like physical and occupational therapy. Hand and finger muscle training, crucial for restoring movement, often involves innovative solutions like finger prosthetic robotics arms. In particular, the advancement in thumb robotics emphasizes the estimation of thumb motion, where the ensemble Kalman filter square root (EnKF-SR) and H-infinity methods are deemed dependable for both linear and nonlinear models. Simulation results, using 400 ensembles, demonstrated nearly identical accuracy between the methods, exceeding 99%, with a 6-7% increase in accuracy compared to 200 ensembles. These advancements offer promising prospects for effective post-stroke rehabilitation and improved thumb movement restoration.
DESAIN PELATIHAN E MARKETING DI PONDOK AL MUIN SYARIF HIDAYATULLAH Magfira, Dike Bayu; Yudianto, Firman; Herlambang, Teguh
SEMANGGI : Jurnal Pengabdian kepada Masyarakat Vol. 3 No. 1 (2024): April 2024
Publisher : LPPM Universitas Wijaya Putra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38156/sjpm.v3i1.224

Abstract

Di era Kemajuan teknologi pemasaran makin menjadikan sitem bisnis menjadi berkembang pesat. Memiliki sarana sebagai penyampaian informasi secara digital banyak sekali alternatif dalam penerapannya salahstunya adalah dengan pembuatan website profil suatu bisnis. Dengan meningkatnya kemajuan teknologi di era pasca pandemi, kemunculan pemikiran terhadap penyembaran informasi melalui media digital juga membantu dalam pergerakan peningkatan dunia digital.Melakukan promosi tidak selalu melalui lisan ke lisan, bisa juga ketika seseorang tidak sengaja memberikan kata kunci dalam memasukkan data di internet maka mereka juga akan menemukan media promosi yang mereka cari. Penggunaan E-Marketing ini yang dimaksudkan menjadikan salah satu kemajuan bisnis di era digital, tumbuh seiring meningkatnya kemajuan industri dalam berbagai bidang menjawab keberadaan promosi di era digital, media ini juga sebagai branding terhadap menjalankan pola industri. Salahsatunya yang menggunakan E-Marketing dalam branding kemajuan pengelolaannya adalah Pondok Pesantren Al Muin Syarif Hidayatullah. Penerapan E-Marketing pada instansi pondok pesantren ini menciptakan sarana informasi dan promosi bagi Pondok Pesantren Al Muin Syarif Hidayatullah. Dengan fungsinya sebagai media pengenalan kepada masyarakat berbasis digital akan sangat membantu dalam meningkatkan financial pesantren pada masa yang sangat ramai dalam pengunaan sarana prasarana untuk mendapatkan informasi dengan media digital. Pengembangan aplikasi ini menggunakan cms wordpress dengan bahasa pemrograman CSS untuk mempermudah dalam pengaplikasian kode nya. Pemrograman akan masuk ke kancah pesantren dengan memberikan wawasan baru terkait bahasa pemrograman. Dengan memberikan pengaplikasian kecil akan membatu pembrandingan pondok itu sendiri juga sebagai pengetahuan baru terkait pemikiran tekhnilogi berbasis pengkodean.
BRIDGING ISSUES OF STRESS AND MENTAL HEALTH IN THE WORKPLACE THROUGH ARTICLE WRITING IN ONLINE MASS MEDIA Hakiki, Moh. Saiful; Putra, Riyan Sisiawan; Herlambang, Teguh; Karya, Denis Fidita; Adinugroho, Mukhtar
Community Service Journal of Indonesia Vol 5 No 2 (2023): Community Service Journal of Indonesia
Publisher : Institute for Research and Community Service, Health Polytechnic of Kerta Cendekia, Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36720/csji.v5i2.589

Abstract

This community service activity discusses the issue and role of stress and mental health in the workplace and how writing articles in online mass media, such as Kumparan, can help overcome these issues. Stress, although often considered detrimental, can actually have a positive impact on an individual's performance and achievement if faced in the right levels. Studies show that appropriate pressure can motivate individuals to achieve high achievements. Stimuli and perceptions have a role in shaping individual attitudes and behaviors in the workplace. In addition to pressure levels, positive perceptions of organizational support impact job performance and satisfaction, while negative perceptions can lead to excess stress and burnout. Environmental, organizational, and individual factors influence perceptions of pressure or workload. Through writing articles in online mass media, this article explains how writing on platforms like Kumparan can be an effective tool in bridging stress and mental health issues in the workplace. This article not only provides information on the impact of stress and how to cope with it, but also encourages positive attitude and behavior change related to this issue. Article dissemination can be done through various channels, including one of them through social media, to reach a wider target audience. With a better understanding of the relationship between stimulus, perception, and pressure, this article helps in creating a balanced work environment and supports the well-being, productivity, and quality of life of employees. Therefore, the article has the potential to influence stress-related and mental health-related mindsets and practices in the workplace, as well as encourage better management in the context of Human Resource Management and Organizational Behavior.
Peningkatan Perekonomian Melalui Pemberdayaan UMKM dan Pemanfaatan Digital Marketing (di SMP Yamassa Surabaya) Adinugroho, Mukhtar; 'Arobi, Akhmad 'Izzul; Wulansari, Tri; Herlambang, Teguh; Yudianto, Firman; Authar, Nailul
Indonesia Berdaya Vol 5, No 4 (2024)
Publisher : UKInstitute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47679/ib.2024903

Abstract

The development of technology and digitalization has drastically changed the marketing landscape. Today's consumers are more connected online and spend a lot of time on digital platforms. Digital marketing training provides an understanding of how to use data and analytics to identify and understand consumer behavior, allowing companies to send relevant and engaging messages to the right audience. This digital marketing training program is carried out with several approaches offered to solve the problem of limited knowledge and skills of Yamassa Surabaya Middle School students in marketing expertise using digital technology. These methods include lecture methods and practical demonstrations. The participants of this Community Service were all attended by 25 Yamassa Surabaya Middle School students and 1 accompanying class teacher. The implementation of the activity went smoothly, this was due to the participation and involvement of all parties, especially students, teachers, and the Unusa community service team. The results of the community service are expected to help participants maximize their knowledge and skills in the field of digital marketing which can support entrepreneurship for the younger generation.Abstrak. Perkembangan teknologi dan digitalisasi telah mengubah lanskap pemasaran secara drastis. Konsumen saat ini lebih terhubung secara online dan menghabiskan banyak waktu di platform digital. Pelatihan digital marketing memberikan pemahaman tentang cara menggunakan data dan analitik untuk mengidentifikasi dan memahami perilaku konsumen, sehingga memungkinkan perusahaan untuk mengirim pesan yang relevan dan menarik kepada audiens yang tepat. Program pelatihan digital marketing ini dilakukan dengan beberapa metode pendekatan yang ditawarkan untuk menyelesaikan permasalahan keterbatasan pengetahuan dan keterampilan siswa SMP Yamassa Surabaya dalam keahlian pemasaran menggunakan teknologi digital. Metode tersebut antara lain yaitu metode ceramah dan demonstrasi praktik. Peserta Pengabdian Masyarakat ini seluruhnya dihadiri oleh 25 siswa SMP Yamassa Surabaya dan 1 orang guru kelas pendamping. Pelaksanaan kegiatan tersebut berjalan lancar, hal ini dikarenakan partisipasi dan keterkaitan semua pihak terutama para siswa, guru, dan tim pengabdian masyarakat Unusa. Hasil pengabdian masyarakat tersebut diharapkan dapat membantu para peserta untuk memaksimalkan pengetahuan dan keterampilan mereka dalam bidang digital marketing yang dapat menunjang kewirausahaan bagi generasi muda.
Perbandingan Algoritma KNN pada Nilai K untuk Forecasting Occupancy Room pada Hotel XYZ Hasan, Aldi Age; Herlambang, Teguh; Arief, M. Romli
Zeta - Math Journal Vol 9 No 2 (2024): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.2.97-104

Abstract

Hotel memainkan peran penting sebagai faktor penunjang ekonomi sektor pariwisata di Indonesia. Menurut data Badan Pusat Statistika (BPS) Jawa Timur pada April 2023, kunjungan wisatawan mancanegara ke Jawa Timur melalui Bandara Juanda, Surabaya, meningkat 74% dibandingkan tahun sebelumnya di bulan yang sama. Tingkat hunian hotel, yang merupakan indikator jumlah kamar terisi oleh tamu, menjadi kritis dalam mengelola sumber daya seperti listrik.Penelitian ini membahas metode prediksi tingkat hunian hotel, dengan fokus pada algoritma Regresi K-NN. KNN memiliki konsistensi kuat dan efektivitas terhadap dataset pelatihan dengan banyak noise, meskipun kinerjanya dipengaruhi oleh nilai k yang menentukan sejauh mana pencarian berlangsung. Hasil yang diberikan pada penelitian ini ialah pada pembagian data training 70% dan data testing 30%, mendapatkan hasil dengan nilai K=3 dan K=4 memiliki nilai RMSE 0.204, lalu pada pembagian data 80:20 ada di nilai K=3 memiliki nilai RMSE 0.127 dan hasil pada pembagian data 90:10 pada nilai K=3 memiliki nilai RMSE 0.080
Prediksi Produksi Kelapa di Kabupaten Banyuwangi Dengan Algoritma Neural Network Herlambang, Teguh; Nurhadi, Hendro; Ermavitalini, Dini; Huda, Miftahul; Oktavianto, Lucky; Saputro, Triono Bagus; Arief, M. Romli
Zeta - Math Journal Vol 9 No 2 (2024): November
Publisher : Universitas Islam Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31102/zeta.2024.9.2.90-96

Abstract

Salah satu daerah penghasil kelapa terbesar di Indonesia adalah Banyuwangi, yang terletak di ujung timur Pulau Jawa. Perkebunan kelapa di Banyuwangi tidak hanya meningkatkan pendapatan petani, tetapi juga memajukan industri pengolahan lokal. Banyuwangi memiliki area potensial yang akan membantu pertumbuhan bisnis kelapa dan agroindustri lainnya. Potensi budidaya kelapa tersebar di berbagai wilayah Banyuwangi, dengan beberapa kecamatan yang menonjol dalam hal produksi dan pengolahan kelapa. Banyuwangi juga memiliki tanah yang subur, iklim yang mendukung, dan sumber daya manusia yang berpengalaman dalam budidaya kelapa Tujuan dari penelitian ini adalah untuk meramalkan produksi kelapa di Kabupaten Banyuwangi dan memberikan informasi yang akurat tentang perkiraan jumlah produksi di masa depan. Diharapkan hasil ini akan membantu petani dan pemangku kebijakan membuat keputusan yang tepat tentang manajemen produksi, distribusi, dan pengembangan industri kelapa di daerah tersebut untuk meningkatkan keberlanjutan, keuntungan, dan efisiensi. Pada penelitian ini menggunakan algoritma Neural Network guna menunjukkan kinerja terbaik pada pengujian dengan pembagian data pelatihan (Tr) sebesar 70%, 80%, dan 90%, serta data pengujian (Ts) sebesar 30%, 20%, dan 10%. Hasil pada implementasi algoritma Neural Network sebagai peramalan produksi kelapa pada banyuwangi menghasilkan RMSE berturut-turut sebesar 0,039, 0,036, dan 0,036.
Perancangan IoT Sederhana Untuk Sistem Pendeteksi Kemurnian Kopi Bubuk Magfira, Dike Bayu; Yudianto, Firman; Wulan, Tri Deviasari; Herlambang, Teguh; Budiarti, Rizqi Putri Nourma; Siswanti, Anas Tifa Rahma
JURNAL TECNOSCIENZA Vol. 9 No. 1 (2024): TECNOSCIENZA
Publisher : JURNAL TECNOSCIENZA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51158/cykvay82

Abstract

Kopi adalah salah satu komoditas ekspor utama Indonesia yang memiliki nilai ekonomi tinggi. Kemurnian kopi bubuk sangat penting untuk memastikan kualitas dan rasa yang konsisten. Proses pengujian kemurnian kopi yang dilakukan secara manual seringkali memakan waktu dan rentan terhadap kesalahan manusia. Penelitian ini mengembangkan sistem pendeteksi kemurnian kopi bubuk menggunakan teknologi Internet of Things (IoT). Sistem ini memanfaatkan sensor-sensor canggih yang terhubung ke perangkat IoT untuk mengukur berbagai parameter terkait kemurnian kopi. Data yang dikumpulkan oleh sensor-sensor ini dikirimkan melalui jaringan nirkabel ke platform pengolah data di cloud untuk dianalisis lebih lanjut. Dengan menggunakan teknologi IoT, sistem ini dapat meningkatkan efisiensi dan akurasi dalam menentukan kemurnian kopi bubuk, sehingga dapat mengurangi biaya produksi dan meningkatkan kualitas produk kopi.
Improved Edge Detection using Morphological Operation to Segmentation of Fingernail Images Kurniastuti, Ima; Herlambang, Teguh; Wulan, Tri Deviasari; Magfira, Dike Bayu; Meutia, Nur Shabrina; Saputro, Hendik Eko; Soraya, Sabrina Ifahdini
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 7 No 1 (2025): January
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v7i1.589

Abstract

Accurate segmentation of fingernail images is essential for biomedical applications like dermatological diagnostics and nail disease assessments. This study compares traditional methods (Sobel and Canny edge detectors) with an improved method using adaptive thresholding and morphological closing for fingernail image segmentation. The methodology includes data collection, preprocessing, edge detection, segmentation, and evaluation. A dataset of 500 fingernail images (free of nail polish) was captured using a digital camera. Preprocessing involves grayscale conversion to simplify analysis and Gaussian smoothing to reduce noise while preserving key features. For segmentation, thresholding and K-means clustering isolate the fingernail from the background. Evaluation combines qualitative and quantitative analyses. Qualitative results demonstrate that the improved method consistently outperforms traditional techniques under diverse conditions. Quantitative evaluation, based on accuracy, recall, F1 score, and Intersection over Union (IoU), further supports these findings. The Sobel method achieves 0.80 accuracy, 0.77 recall, 0.87 F1 score, and 0.77 IoU. The Canny method achieves 0.82 accuracy, 0.78 recall, 0.88 F1 score, and 0.78 IoU. In contrast, the improved method achieves 0.97 accuracy, 0.98 recall, 0.99 F1 score, and 0.98 IoU. The results clearly show that the improved method, using adaptive thresholding and morphological closing, provides superior segmentation performance. Additionally, the approach remains computationally efficient, making it suitable for real-time applications in medical diagnostics.
Efforts to Increase Knowledge about Healthy Houses and Healthy Toilets in the Community in Ds. Lampah, Kedamean District, Gresik Regency Hasanah, alsabila Maulidah; Roebbi, aadiyah; Wulandari, Catur; Herlambang, Teguh
Journal of Health Community Service Vol. 3 No. 1 (2023): Journal of Health Community Service: 2023 January
Publisher : UNUSA Press

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

Abstract

A house is a building that functions as a suitable place to live, as a means for family development, a reflection of the dignity and dignity of its residents, and an asset for its owner (Ministry of PUPR 2016). The problem in Lampah Village is that there are still many houses that do not meet the criteria for a healthy house. The purpose of this community service is to provide health education related to the criteria for healthy houses and healthy latrines so that it is hoped that the community knows and is able to implement healthy houses and latrines in their homes. The method used in this community service is interviews with the community using questionnaire media related to healthy houses and healthy latrines. Then after an interview, then lectures, discussions and leaflets were given. The target of this community service is the residents of Pondok Hamlet. During the event, residents enthusiastically listened and actively asked questions, overall the activity went smoothly, the community gave a good response to the event that had been held.
DEVELOPMENT OF SUSTAINABLE ECOTOURISM IN KARANGREJO VILLAGE, KEDIRI USING A BUSINESS MODEL CANVAS WITH INNOVATION STRATEGY AND DIVERSIFICATION OF TOURISM SERVICES Hakiki, Moh. Saiful; Putra, Riyan Sisiawan; Herlambang, Teguh; Yudianto, Firman; Adinugroho, Mukhtar
Jurnal Layanan Masyarakat (Journal of Public Services) Vol. 8 No. 4 (2024): JURNAL LAYANAN MASYARAKAT
Publisher : Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jlm.v8i4.2024.460-475

Abstract

This Community Service activity is a consultation and assistance activity in reviewing the development of business strategics for Sumber Bagindowati Village-Owned Enterprises (BUM Desa) in Karangrejo Village, Kediri Regency, East Java. Sumber Bagindowati is a natural tourism destination that is being renovated to increase tourist attraction. This research combines the principles of Business Model Canvas (BMC), SWOT analysis, and Blue Ocean Strategy (BOS) to design innovative business models. In BMC analysis, elements such as Customer Segments, Value Propositions, Channels, Revenue Streams, Key Resources, Customer Relationships, Key Activities, Key Partnership, and Cost Structure are considered. The results of the SWOT analysis identified strengths, weaknesses, opportunities, and threats affecting BUM Desa Sumber Bagindowati. Business model design using BOS, which involves the question of what can be created, eliminated, improved, and reduced. Innovation is found in strengthening relationships with stakeholders related to network capital, the use of technology such as the use of social media for promotion, the development of multipurpose areas, and new entertainment programs to increase tourist attraction. The business model proposed in this study integrates ideas from BMC, SWOT analysis, and BOS. This business model is expected to help BUM Desa Sumber Bagindowati face competition and increase income, utilize the potential of natural resources, and expand the reach of tourists, including foreign visitors.
Co-Authors 'Arobi, Akhmad 'Izzul Abdul Muhith Adrianto, Dian Afiananda Rizky Afib Rulyansah Ahmad Syafiq Kamil Ajizah, Silvia Akbar, Reza Maliki Amri Rasyid, Reizano Andy Suryowinoto Arasy Alimudin ARDIANSYAH, DAVID Arief, M. Romli Arief, Mochammad Romli Arof, Hamzah Asy'ari, Vaizal Asy’ari, Vaizal Authar, Nailul Azmi Khulama Devi Azmi, Mohd Sanusi Baital, Muhammad Sawal Budiarti, Rizqi Putri Nourma Candra Ningrat Catur Wulandari Dennis V. Madrigal Diah Ayuningtyas Wati Dian Adrianto Diecky Adzkiya Dieky Adzkiya Dike Bayu Magfira, Dike Bayu Dina Novita, Dina Dini Ermavitalini Dinita Rahmalia, Dinita Elisa Qotrunnada Endang Sulistiyani Erna Apriliani Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Fajar Annas Susanto Farisi, Rizaldi Al Fatikhasari, Niken Fatmawati, Atika Fauji, Awwalinnisa Fidita, Denis Firdaus, Aji Akbar Hakiki, Moh Saiful Hamdani, M. Yusuf Hasan, Aldi Age Hasanah, alsabila Maulidah Hasanah, Indah Karimatul Hendro Nurhadi Hety, Dyah Siwi Ima Kurniastuti Isqi, Isye Fadiata Jauharotur Rihlah Karya, Denis Fidita Katherin Indriawati Khozin Mu'tamar Kresna Oktafianto Kresna Oktafianto Leni Yuliana M. Yushak Anshori Macap, Siti Rahayu Maghfira, Dike Bayu Maisyatul Fikriyyah Maulana Bayu Mayga Kiki Merta, I Wayan Surya Miftahul Huda Moch. Sahri Mohamad Rijal Iskandar Zhulqurnain Mohamad Yusak Anshori Mohammad Syaiful Pradana, Mohammad Syaiful Mokhamad Ramadani Ilham Akbar Mughni, Ahmad Syafiq Muhaimin Muhaimin Muhammad Halili Muhammad Nur Candra Mutia Annisaa’ Firdaus Nafa, Mulya Nyoman Juniarta, Nyoman Oktavianto, Lucky Othman, Zuraini Binti Pradana, Favian Aditya Pulih Asih, Akas Yekti Puspandam Katias Putri, Nadita Mutiara Rachma Rizqina Rachman Sinatriya Marjianto Rahayu, Ragil Puji Riansyah, Denny Fitrah Af Rita Sari Riyan Sisiawan Putra Rizky Ramadhan, Rizky Roebbi, aadiyah Rohman, Mochamad Khakim Santoso, Ismanto Hadi Saputro, Hendik Eko Septiyan Dias Anggoro Shiela, Fadia Jasmine Has Sigit Pancahayani Siswanti, Anas Tifa Rahma Sofia, Ainin Soraya, Sabrina Ifahdini Sri Hartatik Subchan Subchan Subchan Subchan Subchan Subchan Subchan, Subchan Sulistiyani, Endang Suprapto, Sena Sukmananda Supriyanto Supriyanto Susanto, Fajar Annas Susanto, Ismanto Hadi Teay Shawyun Thomy Eko Saputro Tomasouw, Berny Pebo Tri Deviasari Wulan Tri Deviasari Wulan Wulan Triono Bagus Saputro, Triono Bagus Triwinanto, Puguh Vicky Andria Kusuma Virniasai, Putri Yuliana Wahyu Wiji Lestari Widjanarko, Angga Adhitya Wulan, Tri Deviasari Wulansari, Tri Yudianto, Firman Yuliana, Leni Yuliyanto Agung Prabowo Zakaria, Moch Zhulqurnain, Mohamad Rijal Iskandar