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All Journal Techno.Com: Jurnal Teknologi Informasi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Sistem dan Informatika InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan Sistemasi: Jurnal Sistem Informasi Jurnal Teknologi dan Sistem Komputer JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JURNAL MANAJEMEN BISNIS Jurnal Literasiologi Jurnal Tekno Kompak Jurnal Ilmiah Kebidanan Indonesia (Indonesian Midwifery Scientific Journal) Jurnal Abdidas Jurnal SASAK : Desain Visual dan Komunikasi Jurnal Bumigora Information Technology (BITe) Jurnal Pengabdian UNDIKMA Journal of Electrical Engineering and Computer (JEECOM) Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Jurnal Silva Samalas: Journal of Forestry and Plant Science Jurnal Elkasista ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat Jurnal Inovasi, Evaluasi dan Pengembangan Pembelajaran (JIEPP) Jurnal PRIMED:Primary Education Journal atau Jurnal Ke-SD An Jurnal Ilmiah Pendidikan Dasar (JIPDAS) Journal of Engineering, Technology and Computing (JETCom) Jurnal: International Journal of Engineering and Computer Science Applications (IJECSA) Journal of Management, Economic and Accounting (JMEA) Insand Comtech : Information Science and Computer Technology Journal International Journal of Engineering Continuity Valid Jurnal Pengabdian Journal of Economics and Management Scienties Prosiding Seminar Nasional CORISINDO Media Pendidikan Matematika
Hairani Hairani
Universitas Bumigora, Mataram, Indonesia
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering 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 Public Health Social Sciences Other

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Combination Forward Chaining and Certainty Factor Methods for Selecting the Best Herbs to Support Independent Health Muhamad Azwar; Sri Winarni Sofya; Riwayati Malika; Hairani Hairani; Juvinal Ximenes Guterres
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 24 No. 2 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v24i2.4485

Abstract

The use of herbal medicine as an alternative treatment is increasingly popular due to its natural benefits and cultural significance. However, a lack of public knowledge about the effectiveness, appropriate dosages, and processing methods of herbal remedies poses a significant barrier to their proper utilization. This knowledge gap often leads to suboptimal or even unsafe usage of herbal medicines. To address this issue, this study proposes an application-based system combining the Forward Chaining and Certainty Factor methods to provide personalized recommendations for the best herbal remedies supporting self-health management. The research aims to enhance accessibility to reliable information on herbal treatments while ensuring accurate and user-specific recommendations. By utilizing the ForwardChaining and Certainty Factor method, this system identifies suitable herbal plants based on the type of disease, processing techniques, recommended dosages, and duration of treatment. Meanwhile, the Certainty Factor method calculates the level of certainty for each recommendation provided. The study’s results showed a validation rate of 90%, indicating that the combination of these two methods effectively bridges the gap between traditional herbal knowledge and modern health needs. This study concludes that the system offers a practical tool for individuals to select and use herbal treatments safely and effectively, promoting better health outcomes.
Detection of Rice Diseases Using Leaf Images with Visual Geometric Group (VGG-19) Architecture and Different Optimizers Lalu Zazuli Azhar Mardedi; Fahry Fahry; Miftahul Madani; Hairani Hairani
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 25 No. 1 (2025)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v25i1.5286

Abstract

Rice is a major food commodity in Indonesia that plays a vital role in maintaining national food security. However, rice productivity often declines due to pest and disease attacks, especially when the disease is not detected early. Currently, the process of identifying rice diseases is generally still carried out manually by farmers or experts through direct observation, which is subjective, time-consuming, and prone to identification errors. To overcome these limitations, a technology-based solution is needed that is able to detect rice diseases automatically, quickly, and accurately. This study aims to develop a rice disease detection system based on leaf images using a deep learning approach with the Visual Geometric Group (VGG-19) architecture. The research method used is experimental by comparing the performance of the VGG-19 architecture using three different types of optimizers, namely Adaptive Moment Estimation (ADAM), Root Mean Square Propagation (RMSProp), and Stochastic Gradient Descent (SGD), to obtain the best accuracy in rice disease classification. The findings show that the combination of VGG-19 with the ADAM optimizer produces the highest accuracy of 96.45%, followed by RMSProp at 95.96% and SGD at 87.08%. These findings indicate that the selection of optimizers plays an important role in improving the performance of deep learning models, especially in detecting rice diseases based on leaf images.
PERAN AKUNTANSI DALAM MENGELOLA RISIKO VALUTA ASING: TANTANGAN DAN SOLUSI DI PASAR GLOBAL Ihsan, Khairil; Andini, Nisha; Hairani, Hairani
Journal of Management, Economic and Accounting (JMEA) Vol. 4 No. 2 (2025): Volume 4 Issue 2 May 2025
Publisher : CV. Pusdikra Mitra Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/(jmea).v4i2.3109

Abstract

In an era of intensifying globalization, companies worldwide operate in an increasingly complex and dynamic business environment. Tighter global economic integration has encouraged companies to conduct cross-border transactions, thus involving various foreign currencies. This is inevitable considering the increasingly complex global supply chain, increasing business competition, and the need to expand markets. This type of research is a qualitative descriptive study that focuses on available sources of information about the power of data analysis. These sources come from various books and publications that discuss existing theories clearly and comprehensively to create text in the form of articles. Risk management is an essential strategic instrument in identifying, measuring, and mitigating uncertainty to achieve organizational goals and increase stakeholder trust. In a global market ecosystem influenced by the flow of globalization and regulatory complexity, understanding foreign exchange is very crucial because of its function as an international payment instrument and investment instrument that maintains economic stability. The low public compliance is triggered by various multidimensional factors, ranging from minimal awareness and knowledge of taxation, fluctuations in economic income, to the absence of strict legal sanctions for violators. As a solution, the village authorities are taking an approach through optimizing public services and persuasive outreach to provide education regarding the rights and obligations of citizens, which ultimately aims to restore the stability of regional tax revenues.
PEMIKIRAN EKONOMI ISLAM IBN TAIMIYAH Hairani, Hairani; Andini, Nisha
Journal of Management, Economic and Accounting (JMEA) Vol. 4 No. 3 (2025): Volume 4 Issue 3 August 2025
Publisher : CV. Pusdikra Mitra Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51178/(jmea).v4i3.3134

Abstract

Ibn Taimiyah provides an answer for the State in terms of the market mechanism, which is to become a post for deep quality improvement to make its people aware of the importance of moral standards and moral quality as a rule of progress and can make it happen in financial life. An Ibn Taymiyyah is of the view that looking at the market mechanism is actually not limited to monetary issues, more than that it includes several parts of state and religious life.
Pengembangan Game Pembelajaran Lagu Anak-Anak Untuk TK Mutiara Hati Mataram Menggunakan Smartphone Android Madani, Miftahul; Rahman, Mochamad Farhan Caesar; Rosanensi, Melati; Mayadi, Mayadi; Mardedi, Lalu Zazuli Azhar; Hairani, Hairani; Innuddin, Muhammad
ADMA : Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 6 No. 2 (2025): ADMA: Jurnal Pengabdian dan Pemberdayaan Mayarakat: In-Progress
Publisher : LPPM Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/adma.v6i2.5541

Abstract

Pemanfaatan teknologi multimedia memegang peranan penting dalam pendidikan. Saat ini, proses pembelajaran musik di TK Mutiara Hati Mataram masih dilakukan secara konvensional menggunakan buku lirik, sehingga memicu kebosanan dan penurunan minat belajar siswa. Penelitian ini bertujuan merancang "Game Edukasi Bernyanyi Lagu Anak-Anak" untuk mengatasi masalah tersebut. Metode pengembangan sistem menggunakan Multimedia Development Life Cycle (MDLC) yang terdiri dari tahapan concept, design, material collecting, assembly, testing, dan distribution. Hasil pengujian menunjukkan bahwa responden sangat setuju aplikasi ini diterapkan sebagai media edukasi. Kesimpulannya, penggunaan aplikasi ini efektif meningkatkan minat belajar anak-anak di TK Mutiara Hati Mataram. 
Sosialisasi pemanfaatan herbal lokal sasak untuk materi kelas ibu hamil Triandini, I Gusti Agung Ayu Hari; Isviyanti, Isviyanti; Hairani, Hairani; Hidayati, Diana; Kandisa, Amelia; Wangiyana, I Gde Adi Suryawan
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 8, No 2 (2024): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v8i2.23516

Abstract

Abstrak Masa kehamilan merupakan masa terjadinya perubahan fisik, fisiologis dan psikologis yang signifikan pada wanita. Beberapa keluhan umum selama kehamilan meliputi mual dan muntah (morning sickness), kelelahan, nyeri punggung, pembengkakan kaki, sakit kepala, perubahan suasana hati, kesulitan tidur, dan sembelit. Dalam kesehariannya, ibu hamil lebih memilih mengatasi keluhan-keluhan ringan tersebut dengan terapi holistik komplementer karena dinilai lebih efektif dan minim efek samping. Dalam mengoptimalkan pelayanan sinergis kebidanan, Klinik Bumi Sehat Lombok telah menerapkan pelayanan holistik komplementer untuk mendukung persalinan humanis. Tim pelaksana bekerja sama dengan tim Klinik Bumi Sehat dalam kegiatan ini bertujuan untuk memberikan pelatihan untuk meningkatkan pengetahuan mitra dari kalangan ibu hamil, kader dan bidan di sekitar lingkungan klinik sekaligus memberikan pengkayaan materi kelas ibu dan perawatan holistik komplementer pada ibu hamil secara mandiri untuk mengurangi keluhan-keluhan saat masa kehamilan. Metode pengabdian yaitu dengan penyuluhan dan pelatihan praktek pembuatan dan contoh pengaplikasian ke ibu hamil. Tahap pelaksanaan kegiatan meliputi: 1. survei lapangan; 2. perizinan; 3. pengenalan konsep kegiatan kepada mitra; 4. praktek lapangan; 5. diskusi & interaksi aktif, 6. promosi keselamatan, 7. evaluasi. Setelah melakuan edukasi dan praktek pengolahan dan terapi herbal pada ibu hamil dan dilakukan evaluasi mengenai ketidaknyamanan yang dialami oleh ibu, diketahui ibu hamil sudah bisa mengurangi ketidaknyaman yang dialami. Terjadi peningkatan pengetahuan tentang terapi komplementer tersebut yang awalnya umumnya pada kategori kurang (80.94%) menjadi kategori baik (100%). Kata kunci: hamil, herbal; kelas ibu hamil; pengabdian masyarakat; sasak. Abstract Pregnancy is a time of significant physical, physiological and psychological changes in women. Some common complaints during pregnancy include nausea and vomiting (morning sickness), fatigue, back pain, leg swelling, headaches, mood swings, difficulty sleeping, and constipation. In their daily lives, pregnant women prefer to treat these minor complaints with complementary holistic therapy because it is considered more effective and has minimal side effects. In optimizing synergistic midwifery services, Bumi Sehat Lombok Clinic has implemented complementary holistic services to support humanistic childbirth. The implementing team collaborates with the Bumi Sehat Clinic team in this activity which aims to provide training to increase the knowledge of partners from pregnant women, cadres and midwives around the clinic environment while providing enrichment material for maternal classes and complementary holistic care to pregnant women independently to reduce complaints. -complaints during pregnancy. The service method is through counseling and training on manufacturing practices and examples of application to pregnant women. The activity implementation stage includes: 1. field survey; 2. licensing; 3. introduction of the activity concept to partners; 4. field practice; 5. active discussion & interaction, 6. safety promotion, 7. evaluation. After conducting education and practicing herbal processing and therapy for pregnant women and evaluating the discomfort experienced by the mother, it is known that pregnant women can reduce the discomfort they experience. There was an increase in knowledge regarding complementary therapies, which initially were generally in the poor category (80.94%) to the good category (100%). Key words: pregnancy; herbal; pregnant women's class; community service; sasak.
Aplikasi Pemetaan Kualitas Pendidikan di Indonesia Menggunakan Metode K-Means Gibran Satya Nugraha; Hairani Hairani
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 17 No. 2 (2018)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v17i2.84

Abstract

Aplikasi Pemetaan Kualitas Pendidikan Di Indonesia Menggunakan Metode K-Means adalah sebuah aplikasi yang dirancang untuk memudahkan pemetaan kualitas pendidikan di Indonesia. Aplikasi ini dapat membuat sebuah cluster dari kualitas pendidikan di Indonesia berdasarkan sejumlah parameter yaitu Angka Partisipasi Kasar, Angka Partisipasi Murni, Angka Putus Sekolah, Angka Kelulusan, Angka Melanjutkan, Jumlah Sekolah, Rasio Siswa/Sekolah, Rasio Siswa/Kelas, Rasio Kelas/Guru, Rasio Kelas/Sekolah, Rombongan Belajar/Ruang Kelas, dan Jarak Sekolah. Keluaran atau output dari sistem berupa peta yang mengelompokkan daerah-daerah sesuai dengan kualitas pendidikan yang dimilikinya. Analisis perancangan yang digunakan dalam pembuatan sistem ini menggunakan UML (Unified Modeling Language) dimana setiap aktivitas pada sistem akan dikelompokkan secara sendiri-sendiri di dalam sebuah use case diagram dan alur dari sistem digambarkan dalam bentuk flowchart. Perancangan sistem yang dilakukan antara lain perancangan basis data. Perancangan berdasarkan spesifikasi kebutuhan, dan perancangan antarmuka. Secara umum aplikasi ini dapat menghitung data parameter kualitas pendidikan dengan menggunakan metode K-Means Clustering, dan menampilkan hasilnya dalam bentuk peta, sehingga dinas pendidikan atau lembaga-lembaga yang menangani pendidikan di Indonesia dapat membandingkan kualitas pendidikan setiap provinsi di Indonesia Key word : Clustering, k-means, pemetaan
Graduation Prediction System on Students Using C4.5 Algorithm Donny Kurniawan; Anthony Anggrawan; Hairani Hairani
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 19 No. 2 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v19i2.685

Abstract

Bumigora University College there are several things that are not balanced between the entry and exit of students who have completed their studies. Students who enter in large numbers, but students who graduate on time below the specified standards. As result, there was a huge accumulation of students in each graduation period. One solution to overcome the problem above needs a data mining based system in monitoring or utilizing student development in predicting graduation using the C4.5 algorithm. The stages of this research began with problem analysis, data collection, data requirement analysis, data design, coding, and testing. The results of this study are the implementation of the C4.5 algorithm for predicting student graduation on time or not. The data used is the data of students who have graduated from 2010 to 2012. The level of acceptance generated using the confusion matrix is ​​93,103% accuracy using 163 training data and 29 testing data or 85% training data and 15% testing data. The results of research and testing that has been done, C4.5 algorithm is very suitable to be used in student graduation prediction.
Penanganan Ketidak Seimbangan Kelas Menggunakan Pendekatan Level Data Abdurraghib Segaf Suweleh; Dyah Susilowaty; Hairani Hairani; Khairan Marzuki
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 20 No. 1 (2020)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v20i1.846

Abstract

Setiap tahun bagian kemahasiswaan Universitas Bumigora melakukan seleksi mahasiswa yang berhak mendapatkan Beasiswa Peningkatan Prestasi Akademik (Beasiswa PPA). Dalam proses seleksi pemilihan penerima Beasiswa PPA terdapat permasalahan seperti kesulitan dalam menentukan mahasiswa yang berhak menerima beasiswa, dikarenakan jumlah kuota beasiswa lebih sedikit dibandingkan jumlah mahasiswa yang mendaftar beasiswa. Kumpulan data hasil seleksi Beasiswa PPA sebanyak 150 instance. Terdapat ketidak seimbangan kelas pada data yang digunakan yaitu 85 instance kelas tidak layak dan 65 instance kelas layak. Solusi yag ditawarkan adalah menggunakan pendekatan level data untuk menyeimbangkan kelasnya seperti metode SMOTE dan k-means-SMOTE. Adapun tujuan penelitian ini adalah menangani permasalahan ketidak seimbangan kelas pada data beasiswa PPA Universitas Bumigora menggunakan pendekatan level data untuk meningkatkan kinerja metode C4.5. Tahapan-tahapan penelitian ini terdiri dari pengumpulan data Beasiswa PPA, data preprocesing, klasifikasi, dan pengujian kinerja. Berdasarkan hasil pengujiannya, pendekatan level data menggunakan metode k-means-SMOTE dan metode C4.5 memiliki kinerja terbaik untuk klasifikasi penerima Beasiswa PPA dengan akurasi 81.3%, sensitivitas 84.9%, dan spesifisitas 77.6%. Dengan demikian, metode k-mean-SMOTE dan metode C4.5 memiliki kinerja terbaik berdasarkan akurasi, sensitivitas, dan spesifisitas.
Segmentasi Lokasi Promosi Penerimaan Mahasiswa Baru Menggunakan Metode RFM dan K-Means Clustering Dyah Susilowati; Hairani Hairani; Indah Puji Lestari; Khairan Marzuki; Lalu Zazuli Azhar Mardedi
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 21 No. 2 (2022)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v21i2.1542

Abstract

Persaingan penerimaan mahasiswa baru antar kampus swasta sangat ketat untuk menarik calon mahasiswa sehingga membutuhkan strategi. Strategi Universitas Bumigora adalah mengirimkan tim promosi ke sekolah-sekolah di pulau Lombok maupun pulau sumbawa. Permasalahan pihak panitia Penerimaan Mahasiswa Baru selama ini adalah tidak melakukan segmentasi sekolah yang menjadi skala prioritas untuk dikunjungi agar efektif dan efisien. Tujuan penelitian ini adalah melakukan segmentasi tingkat potensial sekolah sebagai strategi untuk memilih lokasi promosi penerimaan mahasiswa baru Universitas Bumigora menggunakan analisis model RFM dan metode K-means. Tahapan penelitian terdiri dari persiapan data penerimaan mahasiswa baru tahun 2019 dan 2020, pra-pengolahan data, penerapan model Recency (R), Frequency (F), dan Monetary (M)implementasi metode K-means, dan analisa hasil. Hasil penelitian ini adalah terbentuk 3 klaster tingkat potensial sekolah yang dapat dijadikan skala prioritas untuk lokasi promosi penerimaan mahasiswa baru Universitas Bumigora yaitu kurang potensial, potensial, dan sangat potensial. Klaster sangat potensial (C2) terdapat 28 sekolah, klaster potensial (C3) terdapat 90 sekolah, dan klaster kurang potensial (C1) terdapat 152 sekolah.
Co-Authors Abdillah, Mokhammad Nurkholis Abdurraghib Segaf Suweleh Abdurraghib Segaf Suweleh Abu Tholib Adam, M. Awaludin Afrig Aminuddin Ahmad Ahmad Ahmad Fathoni Ahmad Zuli Amrullah Amelia, Bengi Amin, Farda Milanda Andi Sofyan Anas Andi, Moh syaiful Andini, Nisha Anggarawan, Anthony Anthony Anggrawan Arfa, Muhammad Ashadi, Diki Astuti, Ni Luh Budi Ayu Dasriani, Ni Gusti Candra, M. Ade Christine Eirene Christopher Michael Lauw Dadang Priyanto Dedi Aprianto Dedy Febry Rachman Dedy Febry Rahman Deny Jollyta Dian Syafitri Didik Dwi Prasetya Diki Ashadi Dirgantara, Bhintang Donny Kurniawan Dyah Susilowati Dyah Susilowaty Edddy, Syaiful Eka Setiawan, Rian Putra Fahry, Fahry Fatimatuzzahra Fatimatuzzahra Fitra Rizki Ramdhani Gede Yogi Pratama Gibran Satya Nugraha Gibran Satya Nugraha Gumangsari, Ni Made Gita Guntara, Muhammad Gusti Ayu Diah Gita Kartika Santi, I Gustiya, Sherly Dwi Guterres, Juvinal Ximenes Hadi, M Fawazi Hammad, Rifqi Hartono Wijaya Haryono Haryono Hasbullah Hasbullah Herawati, Baiq Candra Heru Kurnianto Tjahjono Hery Widijanto Hidayati, Diana Huda, Dias Nabila Husnul Madihah, Husnul I Gusti Agung Ayu Hari Triandini I Nyoman Switrayana Ida Putu Andika Ifnaldi, Ifnaldi Ilham Saifuddin Indah Puji Lestari Indradewa, Rhian Isviyanti, Isviyanti Janhasmadja, Mengas Jauhari, M. Thonthowi Jupriadi, Jupriadi Juvinal Ximenes Guterres Juvinal Ximenes Guterres Juvinal Ximenes Guterres Juvinal Ximenes Guterres Kandisa, Amelia Kasiyanto Kasiyanto, Kasiyanto Khairan marzuki Khairil Ihsan Khasnur Hidjah Khurniawan Eko Saputro Kurniadin Abd Latif Kurniawan Kurniawan Lalu Ganda Rady Putra Lalu Zazuli Azhar Mardedi Lilik Nurhayati lnnuddin, Muhammad M. Ade Candra M. Rasyid Ridho M.Khaerul Ihsan Maariful Huda, Muhammad Malika, Riwayati Mardedi, Lalu Zazuli Azhar Mardedi, Lalu Zazuli Azhar Mayadi Mayadi Mayadi Mayadi Mayadi, Mayadi Mayasari, Astri Melati Rosanensi Michael Lauw, Christopher Miftahul Madani Muhamad Azwar Muhamad Azwar, Muhamad Muhammad Arfa Muhammad Innuddin Muhammad Maariful Huda Muhammad Ridho Akbar Muhammad Ridho Hansyah muhammad Syahbudi, muhammad Muhammad Zulfikri Muhammad Zulfikri Muhammad Zulkarnaen Haris Mujahid Mujahid Neny Sulistianingsih Noor Akhmad Setiawan Nurhayati, Lilik Nurul Azmi Nurvianti, Nurvianti Nuzululnisa, Bq Nadila Pahrul Irfan Putu Tisna Putra Qososyi, Sayidina Ahmadal Rahman, Mochamad Farhan Caesar Rahmawati, Lela Rahmi, Agustina Ramadhanti Ramadhanti Ramadhanti, Ramadhanti Rifqi Hammad Riosatria, Riosatria Riwayati Malika Rizki Wahyudi RR. Ella Evrita Hestiandari Saifuddin Zuhri Saifuddin, Ilham Samsul Hadi Santoso, Heroe Shudiq, Wali Ja'far Soepriyanto, Harry Sofiansyah Fadli Sri Winarni Sofya Sri Winarni Sofya Sudi Prayitno Sukron, Moh Sutarman Sutarman Syahrir, Moch. tadianta m., Winardi aries Teguh Bharata Adji Tri Widayatsih, Tri Triwijoyo, Bambang Krismono Triyanna Widiyaningtyas Umi Hanifah Vidiasari, Herlita Vidiasari, Viviana Herlita Wahyuningsih, Rr. Sri Handari Wangiyana, I Gde Adi Suryawan Widiatmoko, Dekki Wira Hendri Wiyanto, Suko Ximenes Guterres, Juvinal Yuri Ariyanto Zilullah Nazir Hadi