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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) POSITIF Sistemasi: Jurnal Sistem Informasi Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Pendidikan UNIGA Jurnal Ilmiah Universitas Batanghari Jambi Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control INOVTEK Polbeng - Seri Informatika IJIS - Indonesian Journal On Information System Sebatik ILKOM Jurnal Ilmiah INTECOMS: Journal of Information Technology and Computer Science Jiko (Jurnal Informatika dan komputer) IJISTECH (International Journal Of Information System & Technology) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) EDUMATIC: Jurnal Pendidikan Informatika METIK JURNAL Jurnal Manajemen Informatika dan Sistem Informasi Journal of Information Systems and Informatics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) PRAJA: Jurnal Ilmiah Pemerintahan Indonesian Journal of Electrical Engineering and Computer Science JTIULM (Jurnal Teknologi Informasi Universitas Lambung Mangkurat) Jurnal Informa: Jurnal Penelitian dan Pengabdian Masyarakat Pilar Teknologi : Jurnal Penelitian Ilmu-ilmu Teknik Jurnal Teknik Informatika (JUTIF) JiTEKH (Jurnal Ilmiah Teknologi Harapan) Journal of Electrical Engineering and Computer (JEECOM) IJISTECH Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Computer Science and Information Technology (CoSciTech) Buletin Poltanesa Journal of Applied Computer Science and Technology (JACOST) International Research on Big-data and Computer Technology (IRobot) Journal of Applied Sciences, Management and Engineering Technology (JASMET) Journal of Information Technology (JIfoTech) Jurnal Informatika Teknologi dan Sains (Jinteks) JAIA - Journal of Artificial Intelligence and Applications Nusantara of Engineering (NOE) Jurnal Bangkit Indonesia Jikom: Jurnal Informatika dan Komputer Bulletin of Network Engineer and Informatics (BUFNETS) Journal of Informatics, Electrical and Electronics Engineering SmartComp Jurnal Informatika Polinema (JIP) TECHNOVATAR Intechno Journal : Information Technology Journal Bridge: Jurnal Publikasi Sistem Informasi dan Telekomunikasi Teknologi : Jurnal Ilmiah Sistem Informasi
Alva Hendi Muhammad
Universitas Amikom Yogyakarta
Aerospace Engineering Agriculture, Biological Sciences & Forestry Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Social Sciences Other

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PERANCANGAN TATA KELOLA MENGGUNAKAN COBIT 2019 UNTUK MENINGKATKAN LAYANAN DAN DUKUNGAN TIK PADA PUSTIK STMIK LOMBOK Baiq Yulia Fitriyani; Alva Hendi Muhammad
Jurnal Manajemen Informatika dan Sistem Informasi Vol. 8 No. 1 (2025): MISI Januari 2025
Publisher : LPPM STMIK Lombok

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36595/misi.v8i1.1484

Abstract

 Teknologi Informasi dan Komunikasi (TIK) memainkan peran penting dalam mencapai tujuan organisasi. Penelitian ini bertujuan meningkatkan tata kelola TIK di PUSTIK STMIK Lombok dengan menerapkan kerangka kerja COBIT 2019. Data dikumpulkan melalui observasi, wawancara, dan tinjauan literatur, kemudian dianalisis menggunakan SWOT untuk mengidentifikasi kekuatan, kelemahan, peluang, dan ancaman. Enam domain utama—APO04, APO10, BAI02, DSS01, DSS05, dan EDM01—dievaluasi, menunjukkan bahwa semua domain saat ini berada pada Tingkat Kapabilitas 3. Meskipun proses terdokumentasi secara konsisten, ditemukan kesenjangan dalam perencanaan kebutuhan jangka panjang dan manajemen insiden keamanan. Rekomendasi meliputi penguatan kebijakan, peningkatan dokumentasi, pelatihan berkala, dan mekanisme tata kelola yang responsif. Penelitian ini menunjukkan relevansi COBIT 2019 di lingkungan akademik, serta menyediakan panduan untuk mengatasi kesenjangan kapabilitas dan menyelaraskan layanan TIK dengan tujuan institusi. Penelitian lanjutan disarankan untuk mengevaluasi dampak jangka panjang dan integrasi teknologi baru.
Penerapan Framework COBIT 2019 Pada Infrastruktur Teknologi Informasi (Studi Kasus STIMIK Tunas Bangsa Banjarnegara) Zubaedi, Umam Faqih; Muhammad, Alva Hendi; Hanafi, Muhammad
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 14, No 1 (2025): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v14i1.7158

Abstract

Tata kelola teknologi informasi pada infrastruktur TI di kampus merupakan aspek penting untuk memastikan bahwa penggunaan teknologi informasi mendukung tujuan pendidikan dan administrasi. Pada penelitian ini,menggunakan COBIT 2019 untuk dapat mengetahui sejauh mana kampus mengelola infrastruktur TI dan memastikan pada pengelolaan perubahan TI secara cepat dan terkontrol namun tidak mengganggu layanan infrastruktur TI. Pengumpulan data dilakukan menggunakan metode observasi dan kuesioner yang dilakukan di kampus STIMIK Tunas Bangsa Banjarnegara. Dari hasil yang ditemukan terdapat pemilihan domain sebagai fokus utama yaitu domain BAI06 (Manage IT Changed) yang menghasilkan nilai capability level sebesar 2,75 sehingga dapat di simpulkan menjadi level 3. Hasil tersebut menunjukan bahwa tingkat kapabilitas sudah baik, namun terdapat beberapa aspek yang perlu ditingkatkan seperti sub domain BAI06.02, BAI06.03, dan BAI06.04. Penelitian ini merekomendasikan untuk proses perbaikan dan pengendalian sehingga mencapai target yang diharapkan yaitu level 4.
Prioritas Investasi Keamanan Informasi Menggunakan Analytic Network Process (ANP) Bagi Pemerintah Daerah Provinsi Kalimantan Tengah Haris, Ruby; Muhammad, Alva Hendi; Nasiri, Asro
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 11 No 6: Desember 2024
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2024119245

Abstract

Keamanan informasi menjadi fokus utama bagi Pemerintah Daerah Provinsi Kalimantan Tengah, terutama dalam menghadapi ancaman siber yang semakin kompleks. Walaupun telah ada inisiatif dari Pemerintah Pusat seperti Indeks Keamanan Informasi (KAMI) yang diperkenalkan oleh Badan Siber dan Sandi Negara (BSSN), implementasi di tingkat daerah masih dihadapkan dengan berbagai tantangan. Kendala utama yang dihadapi adalah terbatasnya anggaran, kekurangan sumber daya manusia yang berkualitas, serta rendahnya kesadaran tentang pentingnya keamanan informasi. Penelitian ini menghipotesiskan bahwa dengan penerapan metode Analytic Network Process (ANP), Pemerintah Daerah dapat lebih efektif menentukan prioritas dalam investasi keamanan informasi, sehingga risiko ancaman siber dapat diminimalkan secara signifikan. Solusi yang diusulkan adalah penggunaan metode ANP untuk menangani hubungan antar kriteria yang saling terkait dan memberikan panduan prioritas yang komprehensif antara aspek teknologi, sumber daya manusia, dan kebijakan. Survei dilakukan terhadap pengambil keputusan dan pengelola teknis terkait keamanan informasi. Hasil penelitian menunjukkan bahwa pengambil keputusan lebih memprioritaskan kerangka kerja manajemen keamanan informasi, sementara pengelola teknis lebih fokus pada aspek teknologi. Penelitian ini diharapkan dapat membantu Pemerintah Daerah dalam merumuskan strategi investasi yang lebih efektif untuk meningkatkan keamanan informasi dan melindungi data sensitif di wilayah Pemerintah Provinsi Kalimantan Tengah.   Abstract Information security has become a primary focus for the Regional Government of Central Kalimantan Province, especially in facing increasingly complex cyber threats. Although there have been initiatives from the Central Government, such as the Information Security Index (KAMI) introduced by the National Cyber and Crypto Agency (BSSN), implementation at the regional level still faces various challenges. The main obstacles encountered are limited budgets, a shortage of qualified human resources, and a lack of awareness about the importance of information security. This study hypothesizes that by applying the Analytic Network Process (ANP) method, the Regional Government can more effectively prioritize investments in information security, thereby significantly minimizing cyber threat risks. The proposed solution is to use the ANP method to manage interrelated criteria and provide a comprehensive priority guide between technological, human resource, and policy aspects. Surveys were conducted with decision-makers and technical managers related to information security. The results of the study show that decision-makers prioritize the information security management framework, while technical managers focus more on technological aspects. This research is expected to assist the Regional Government in formulating more effective investment strategies to improve information security and protect sensitive data within the Central Kalimantan Provincial Government's jurisdiction.
EFEKTIVITAS PROGRAM JELITA JIWA SEBAGAI INOVASI PELAYANAN DI DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL KABUPATEN SLEMAN Hasan, Nurul Rahmawati; Nugroho, Hanantyo Sri; Kusrini, Kusrini; Muhammad, Alva Hendi
PRAJA: Jurnal Ilmiah Pemerintahan Vol 12 No 2 (2024): Edisi Juni
Publisher : FISIP Universitas Muhammadiyah Sidenreng Rappang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55678/prj.v12i2.1548

Abstract

Pelayanan administrasi kependudukan merupakan salah satu pelayanan publik yang bertanggungjawab dalam memberikan pelayanan administrasi kependudukan kepada masyarakat untuk digunakan dalam keperluan pemenuhan hak dasar warga negara. Melalui Peraturan Dalam Negeri Nomor 19 Tahun 2018 tentang Peningkatkan Kualitas Layanan Administrasi Kependudukan mengembangkan inovasi pelayanan dalam rangka peningkatan kualitas administrasi kependudukan dapat dilakukan melalui layanan terintegrasi dan/atau jemput bola. Program Jelita Jiwa merupakan sebuah inovasi pelayanan jemput bola yang dilaksanakan oleh petugas Dinas Kependudukan dan Pencatatan Sipil Kabupaten Sleman ke rumah penduduk yang mengalami sakit berat, lansia, disabilitas, dan orang dengan gangguan jiwa (ODGJ) yang tidak memiliki KTP elektronik. Penelitian ini bertujuan untuk mengetahui efektivitas dan kendala pelaksananaan Program Jelita Jiwa dengan menggunakan indikator input, proses, dan output. Penelitian menggunakan pendekatan deskriptif kualitatif dengan teknik pengumpulan data melalui observasi, wawancara, dan dokumentasi serta analisis reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukan bahwa Program Jelita Jiwa di Dinas Kependudukan dan Pencatatan Sipil Sleman cukup efektif. Meskipun masih ada beberapa kendala seperti infrastruktur jalan kurang baik, lokasi tempat tinggal yang jauh, pengaturan kerja aparatur belum terorganisir dengan optimal, dan faktor kondisi pemohon itu sendiri.
Cloud Server Security System Design on Linux Almalinux 8.6 Operating System Based on WHM with DNS Management Using IP Masking Cloudflare Chaedar Fatach, Muhamad Reza; Muhammad, Alva Hendi; Ariatmanto, Dhani
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 1 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i1.10766

Abstract

This study aims to design a Cloud Server Security System on the Linux Almalinux Operating System with DNS Management Using a Proxy Server Based on IP Masking Cloudflare using the Traffic Patterns and Packet Internet Gopher (PING) methods. The type of research used is qualitative research where researchers collect primary and secondary data. The results of the study concluded that this design can improve security in Cloud Servers. Before using IP Masking Cloudflare, server performance was low, Data Access and Management was Low, Scalability was Low, Access Security was Low, System Integration was Low, but after using IP Masking Cloudflare Server Performance, Data Access and Management, Scalability, Access Security, and System Integration increased.
COBIT 2019 for Enhanced ICT Governance: A Case Study at a Higher Education Institution Fitriyani, Baiq Yulia; Muhammad, Alva Hendi
Journal of Information System and Informatics Vol 7 No 1 (2025): March
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v7i1.972

Abstract

Effective ICT governance is essential for aligning technological resources with institutional objectives, especially in higher education institutions with limited resources. This study evaluates the ICT governance framework at PUSTIK STMIK Lombok using COBIT 2019, focusing on six domains: APO04, APO10, BAI02, DSS01, DSS05, and EDM01. A structured survey was conducted with 189 respondents, including faculty, students, and administrative staff, to assess capability maturity levels and identify governance gaps. The results indicate that all domains achieved Level 3 (Established), reflecting standardized processes but highlighting deficiencies in security resilience, vendor management, and operational change management. A SWOT analysis identified weaknesses such as limited proactive security measures, insufficient stakeholder engagement, and inadequate staff training, while opportunities include government funding and emerging technologies. To address these challenges, a tailored governance framework was developed, incorporating policies, standards, and procedures to enhance security, innovation management, and vendor accountability. The findings underscore the applicability of COBIT 2019 in resource-constrained educational settings and provide practical recommendations to bridge governance gaps. Future research should examine the long-term effects of governance improvements and explore the framework’s scalability across similar institutions.
QUALITY MANAGEMENT OF INFORMATION TECHNOLOGY GOVERNANCE COBIT 2019 FRAMEWORK EDUCATION FACTORS IN INDONESIA: A REVIEW Prasetya, Bismar Rifki wahyu; Muhammad, Alva Hendi
JIKO (Jurnal Informatika dan Komputer) Vol 8, No 1 (2025)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i1.9498

Abstract

This study examines information technology (IT) governance in Indonesia's education sector using the COBIT 2019 framework through a systematic literature review (SLR) approach. COBIT 2019 is a globally recognized framework designed to help organizations manage IT effectively by integrating quality management principles to achieve strategic objectives. In the education sector, implementing robust IT governance is crucial to supporting ongoing digital transformation efforts. The SLR process involved identifying, selecting, and analyzing relevant literature to assess the implementation of COBIT 2019 in the Indonesian education sector. The findings indicate that this framework can enhance IT governance quality, particularly in risk management, resource efficiency, and operational sustainability. However, challenges persist, including limited managerial understanding, shortages of skilled human resources, and inadequate infrastructure support. To address these challenges, collaboration among the government, educational institutions, and the private sector is essential. Additionally, continuous training programs are necessary to enhance the competencies of management and IT personnel in effectively implementing COBIT 2019. The study underscores the importance of integrating technological and educational aspects to improve service quality in the education sector. Furthermore, the COBIT 2019 framework is recognized as a valuable tool for fostering collaboration among stakeholders to achieve sustainable education development in Indonesia.
PEMANFAATAN TEKNOLOGI LEARNING ANALYTICS DALAM MENDETEKSI POLA BELAJAR UNTUK MENINGKATKAN KUALITAS PEMBELAJARAN DI SMK NEGERI 1 KABUPATEN SORONG Novel Adil Dwijaksana; Alva Hendi Muhammad
Jurnal Pendidikan UNIGA Vol 19 No 1 (2025): Jurnal Pendidikan UNIGA
Publisher : Fakultas Pendidikan Islam dan Keguruan Universitas Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52434/jpu.v19i1.42480

Abstract

Penelitian ini bertujuan untuk memanfaatkan teknologi Learning Analytics dalam mendeteksi pola belajar siswa guna meningkatkan kualitas pembelajaran di SMK Negeri 1 Kabupaten Sorong. Tiga pendekatan analisis digunakan: K-Means Clustering untuk mengelompokkan siswa berdasarkan performa akademik, Decision Tree untuk mengidentifikasi faktor-faktor kunci yang memengaruhi hasil belajar, serta Multiple Linear Regression untuk memprediksi capaian akademik siswa. Penelitian ini menggunakan pendekatan kuantitatif dengan jenis penelitian eksploratif Data yang dianalisis mencakup kehadiran, nilai tugas, dan partisipasi dalam kelas pada pembelajaran luring. Hasil clustering menunjukkan adanya tiga klaster siswa: performa tinggi, sedang, dan rendah. Decision Tree mengungkap bahwa kehadiran dan partisipasi aktif merupakan indikator utama dalam menentukan performa akademik. Sementara itu, model regresi menghasilkan nilai R-squared sebesar 0,76, yang menunjukkan bahwa variabel kehadiran dan nilai tugas memiliki pengaruh signifikan terhadap capaian belajar. Temuan ini memperkuat bukti bahwa pendekatan Learning Analytics mampu memberikan rekomendasi pembelajaran yang lebih cepat, akurat, dan personal. Penelitian ini diharapkan dapat menjadi referensi dalam pengambilan keputusan pembelajaran berbasis data dan mendukung guru dalam merancang strategi pengajaran yang adaptif dan efektif. Kata-kata Kunci: Learning Analytics, K-Means Clustering, Decision Tree, Multiple Linear Regression, Pembelajaran Luring
Deep Learning Deteksi Dan Klasifikasi Penyakit Daun Tomat Menggunakan ResNet-50 Raynold, Raynold; Alva Hendi Muhammad
Computer Science and Information Technology Vol 6 No 1 (2025): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v6i1.8501

Abstract

Tomatoes are a popular food around the world, especially in Indonesia. Many tomato farmers experience crop failure due to lack of understanding and delays in recognizing diseases that attack their plants. The purpose of this study is to identify and assess the types of diseases on tomato leaves based on trends, data sources, methodologies, and characteristics used in detecting diseases on tomato leaves. The dataset used is sourced from kaggle consisting of 10 classes and contains a total of 11,000 images. The data division used consists of 90% training data and 10% test data. The augmentation and fine-tuning process is carried out to reduce over fitting. This research uses the ResNet-50 algorithm to detect and classify diseases on tomato leaves. ResNet will compare leaf images to classify them with 10 disease classes in the dataset. From the ResNet method, the average accuracy value is 93%. This shows that the ResNet-50 method for image classification can produce accurate accuracy in solving real-world problems
Conversion Prediction in Google Search Ads Keyword Selection Using the K-Nearest Neighbor and C4.5 Algorithms Harahap, Muhammad Sya'ban; Muhammad, Alva Hendi
Sistemasi: Jurnal Sistem Informasi Vol 14, No 3 (2025): Sistemasi: Jurnal Sistem Informasi
Publisher : Program Studi Sistem Informasi Fakultas Teknik dan Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32520/stmsi.v14i3.5174

Abstract

This study was conducted to analyze and compare the effectiveness of two algorithms—K-Nearest Neighbor (K-NN) and C4.5—in predicting keyword conversion on the Google Ads platform. With the rapid growth of digital marketing, selecting the right keywords has become crucial for improving conversion rates. The research utilized a dataset of 673 entries with 12 relevant attributes, collected from historical ads and the Google Ads Keyword Planner. A comparative experimental approach was employed, with the data split into training (80%) and testing (20%) sets. The analysis revealed that the C4.5 algorithm achieved higher accuracy (85.41%) compared to K-NN (74.86%). Evaluation was based on metrics such as accuracy, precision, recall, and F1-score, which indicated that C4.5 was more effective in predicting conversions using the given dataset. These findings offer valuable insights for advertisers aiming to optimize their ad campaigns by selecting more effective keywords. However, the study also acknowledges limitations and recommends further research using larger and more diverse datasets to enhance model accuracy.
Co-Authors Abdul latif Adhien Kenya Estetikha Aditama, Galih Agung Harimurti, Agung Agus Purwanto Ahmad Yusuf Alif Sahputra Alif Syaiful Huda Ananda Fikri Akbar Andi Sunyoto Anggit Dwi Hartanto Anggrainy, Shynta Eza Annisa Hestiningtyas Arief Rahman Hakim Arief Setyanto Arif Baktiar Arsad Arta Perdana, Bagus Gede Asro Nasiri Asro Nasiri A’yuni, Ashlih Qurota Bagus Setya Baiq Yulia Fitriyani Bambang Soedijono Bambang Soedijono W.A Bambang Soedijono W.A Bambang Soedijono, Bambang Bernadhed, Bernadhed Bismar Rifki wahyu Prasetya Chaedar Fatach, Muhamad Reza Christin Soyan Dengen Danu Prawira Utama David Diamanta DHANI ARIATMANTO Dhani Ariatmanto Dony Ariyus Eka Sakti, Putra Utama Eko Pramono Ema Utami Fauzi, Moch Farid Fendi Setiabudi Ferry Wahyu Wibowo Fitriyani, Baiq Yulia Hanafi Hanafi Harahap, Muhammad Sya'ban Haris, Ruby Hasan, Nurul Rahmawati Hasibuan, M. Rivai Hery Priandoko Hewen, Maria Beliti Husni Hidayat Malik I Gusti Ngurah Wikranta Arsa Arsa Ilham Setya Budi Indra Surya Permana Intan Sari Gusti Irawan, Hafizhan Irawan, Ridwan Dwi Irwan Oyong Jangkung Tri Nygroho Jeki Kuswanto Joko Dwi Santoso Juslan, Wulandari kurniawan, Ade Kurniawan Kusnawi Kusnawi Kusrini Kusrini, K Leo, Donatus Lubna Lubna M. Hanafi Malik, Husni Hidayat Maradona, Maradona MEI PARWANTO KURNIAWAN Melinne Maldini Rosady Muh Adha Muhamad Rodi Muhammad Husein Budiraharjo Muhammad Imam Munandar Muhammad Rizky Hajar Muhartini, Sitti Muktafin, Elik Hari Nadya Chitayae Nasiri, Asro Nor Riduan Novel Adil Dwijaksana Nugroho, Hanantyo Sri Nur Aini Nur Aziz Nugroho Prasetya, Bismar Rifki wahyu Prasetya, Rendra Prima Giri Pamungkas Puji Ariningsih Raynold, Raynold Razaq, Thata Authar Richki Hardi Rifqi Anugrah Robert Marco Roymond Chandra Pradana Saputra, Mahmuda Setiajid, Bayu Setyanto, Arif Sofian Dwi Hadiwinata Solehatin, Solehatin Sri Ngudi Wahyuni, Sri Ngudi Suparyati Suparyati Suseno, Hari Budhi Taryoko, Taryoko TONNY HIDAYAT Ula, M. Izul Verawati, Ike Very Kurnia Bakti, Very Kurnia Wahyunia Ningsih Syam Widodo, Cynthia Wiwi Widayani, Wiwi Yana Hendriana Yossy Ariyanto Zakiri, Hasani Zitnaa Dhiaaul Kusnaa Washilatul Arba'ah Zitnaa Dhiaaul KWA Zubaedi, Umam Faqih