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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Seminar Nasional Aplikasi Teknologi Informasi (SNATI) CommIT (Communication & Information Technology) Jurnal Kebidanan Dan Kesehatan Tradisional JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Jurnal SOLMA International Journal of New Media Technology ILKOM Jurnal Ilmiah CHEESA: Chemical Engineering Research Articles Jurnal ULTIMA InfoSys Jurnal ULTIMA Computing JISIP: Jurnal Ilmu Sosial dan Pendidikan PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat JISICOM (Journal of Information System, Infomatics and Computing) ACADEMICS IN ACTION Journal of Community Empowerment Journal of Information Systems and Informatics Journal of Applied Engineering and Technological Science (JAETS) JISA (Jurnal Informatika dan Sains) Jurnal Riset Kefarmasian Indonesia Jurnal PORKES Indonesian Journal of Electrical Engineering and Computer Science Computer Science and Information Technologies Jurnal Darma Agung Indonesia Berdaya Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) Journal of Applied Data Sciences Integral : Jurnal Penelitian Pendidikan Matematika Warta AKAB Jurnal Pengabdian Masyarakat Nusantara Journal Midwifery Jurusan Kebidanan Politeknik Kesehatan Gorontalo Jurnal Abdi Masyarakat Indonesia Ikhtisar: Jurnal Pengetahuan Islam International Journal of Management Science and Information Technology (IJMSIT) Jurnal Begawe Teknologi Informasi Prabayaksa: Journal of History Education Indonesian Journal of Cancer Journal of Scientech Research and Development IT For Society : Journal of Information Technology Sharia Agribusiness Journal Journal of Industrial Community Empowerment Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Indonesian Journal of Community Empowerment (IJCE) e-Jurnal Apresiasi Ekonomi JPM-AKA HUPERETES: Jurnal Teologi dan Pendidikan Kristen Time in Physics: Journal for Theoretical, Instrumentation, Material-Molecular, and Education Physics Neraca Manajemen, Akuntansi, dan Ekonomi Jurnal Kesehatan Metro Sai Wawai Jurnal Multidisiplin Indonesia Journal of Social Work and Science Education ZIJEn: Zabags International Journal of Engagement JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Sipil Sains Terapan
Rosalina Rosalina
President University
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EVALUASI TINGKAT KERUSAKAN PERMUKAAN JALAN UNTUK MENENTUKAN JENIS PENANGANAN DENGAN SISTEM PENILAIAN MENURUT BINA MARGA (Studi Kasus Jalan Nasional Bireuen–Bts. Kota Lhokseumawe, Kecamatan Krueng Geukueh mulai Sta 253+000 s/d Sta 257+000 ) Sanjaya, Yudi Ari; Rosalina, Rosalina; Syarwan, Syarwan
Jurnal Sipil Sains Terapan Vol 1, No 01 (2017): Jurnal Sipil Sains Terapan
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P2M)

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Abstract

Prasarana jalan jika terbebani oleh volume lalu lintas yang tinggi dan berulang-ulang akan menyebabkan terjadinya penurunan kualitas jalan sehingga dapat mempengaruhi keamanan, kenyamanan, dan kelancaran dalam berlalu lintas. Untuk menjaga agar tidak terjadi penurunan kondisi khususnya pada segmen jalan Krueng Geukueh-Lhokseumawe merupakan jalan arteri atau jalan nasional khususnya pada Sta 253+000–Sta 257+000 perlu adanya penanganan. Maka perlu dilakukan penelitian awal terhadap kondisi permukaan jalan dengan melakukan survei secara visual dengan cara menganalisa kerusakan berdasarkan jenis dan tingkat kerusakannya. Tujuan penelitian yaitu untuk mengetahui jenis dan tingkat kerusakan permukaan jalan sehingga dapat menentukan jenis penanganan sesuai kondisi permukaan jalan. Penelitian ini menggunakan sistem penilaian kondisi perkerasan menurut Bina Marga dengan perhitungan International Roughness Insex (IRI) dan Surface Distress Index (SDI) untuk jalan beraspal. Dari hasil penelitian didapatkan nilai IRI rata-rata persegmen yang adalah pada segmen I 3,30 m/km, segmen II 4,03 m/km, segmen III 5,47 m/km, segmen IV 3,84 m/km. Sedangkan berdasarkan penilaian SDI didapat untuk jenis kerusakan permukaan jalan yaitu retak (crack) 34,445%; tambalan (patching) 65,102%; ambles (depression) 0%; lubang (potholes) 0,381%; dan pinggir pecah (edge breaks) 0,071%. Tingkat kerusakan permukaan jalan keseluruhan dari beberapa jenis kerusakan adalah 4,198% dari total panjang jalan yang ditinjau sepanjang 4 km. Hasil kondisi tingkat  kerusakan jalan yang ditinjau yaitu 55,00% baik; 24,00% sedang; 5% rusak ringan; dan 0% rusak berat, maka penentuan jenis penanganan jalan dari 4 (empat) segmen seperti segmen I, II, III, dan IV yaitu pemeliharaan rutin.
SUBTITUSI PARSIAL AGREGAT HALUS DENGAN SERBUK BESI PADA CAMPURAN LASTON AC-WC Saputra, Iman; Rosalina, Rosalina; Yusnar, Cut
Jurnal Sipil Sains Terapan Vol 4, No 01 (2021): JURNAL SIPIL SAINS TERAPAN
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P2M)

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Abstract

ABSTRAKLimbah serbuk besi merupakan sisa potongan atau pembubutan besi tuang yang berasal dari hasil pemakaian industri. Limbah yang dihasilkan dari sisa bubut dibuang begitu saja tanpa memikirkan dampak negatif yang berpengaruh pada lingkungan sekitar. Penggunaan limbah serbuk besi bertujuan untuk mengetahui nilai karakteristik Marshall pada lapisan perkerasan Asphalt Concrete–Wearing Course (AC–WC). Metode penelitian mengikuti standar yang berlaku pada campuran laston AC–WC. Limbah serbuk besi yang digunakan berasal dari bengkel bubut Cunda, Kabupaten Kota Lhokseumawe, Provinsi Aceh. Pemadatan benda uji dilakukan dengan tumbukan 2 x 75 tiap permukaan untuk lalu lintas berat. Pada penelitian ini variasi campuran ideal diperoleh kadar aspal optimum (KAO) sebesar 6,4%. Penggantian variasi kadar serbuk besi sebesar 0%, 5%, 10%, 15%. Hasil parameter uji Marshall pada kadar aspal optimum (KAO) 6,4, persentase penggantian sejumlah agregat halus dengan variasi serbuk besi menghasilkan performa terbaik (% optimum) untuk campuran laston AC-WC adalah sebesar15%. Pada penggantian tersebut didapat nilai Density sebesar 2,38%, nilai stabilitas sebesar 3582 kg, nilai Flow 3,3%, nilai Marshall Quotient (MQ) sebesar 1098,77 kN/mm, nilai Void in Mix (VIM) sebesar 3,67%, nilai Voids in the Mineral Agregat (VMA) sebesar 16,49%, dan nilai Voids Filled with Bitumen (VFB) sebesar 79,84%. Semua variasi kadar limbah serbuk besi memenuhi persyaratan parameter Marshall. Kata Kunci : Limbah Serbuk Besi, Marshall, Asphalt Concrete–Wearing Course (AC–WC). 
Pemanfaatan Teknologi Augmented Reality Untuk Media Pengenalan Huruf Alfabet Pada Anak Usia Dini Sinduningrum, Estu; Rosalina, Rosalina; Hilda, Atiqah Meutia
Jurnal SOLMA Vol. 8 No. 1 (2019)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29405/solma.v8i1.3151

Abstract

Saat ini banyak orang tua mulai mengajarkan anaknya membaca sejak dini di rumah, ataupun menyekolahkannya di Taman Kanak – Kanak (TK) yang mengajarkan membaca. Metode yang sesuai untuk Pendidikan Anak Usia Dini (PAUD) adalah belajar sambil bermain. Metode ini tidak membebani dan tidak ada unsur paksaan. Pemanfaatan Augmented Reality untuk media pengenalan membantu anak belajar membaca dengan menggunakan cara yang menyenangkan, yaitu dengan memindai marker berisi huruf atau suku kata menggunakan kamera perangkat Android. Nantinya akan muncul video animasi, audio pelafalan, dan hewan 3D sesuai huruf atau suku kata dan gambar dalam marker yang dipindai. Desain ini kemudian diimplementasikan dalam sebuah aplikasi untuk sistem operasi Android. Uji coba aplikasi ini dilakukan dengan kedua mitra dari Lab School Permata UHAMKA dan Baitul Ulum Al Isfahani Manfaluthi yang dihadiri oleh para Guru dan Orang Tua Wali murid. Peserta mencoba langsung aplikasi dan memberikan feedback untuk mengetahui sejauh mana aplikasi dapat membantu proses Pembelajaran. Berdasarkan hasil evalusi aplikasi ini terbukti dapat membantu Guru dan orang tua wali murid untuk mempraktekan model belajar Alfabet yang asik dan menyenangkan untuk anak dan muridnya.
Optimasi Ultrasound-Assisted Extraction pada Rimpang Bangle Hitam (Zingiber ottensii Valeton) serta Potensinya sebagai Antioksidan dan Antimikroba Putri, Imalia Dwi; Rosalina, Rosalina; Utami, Andita; Rahmatia, Lintannisa; Enriyani, Riri; Ismail, Ismail; Alminda, Alfian Fadhilah; Irawan, Candra
Journal Warta AKAB Vol 49, No 2 (2025): Desember 2025
Publisher : Politeknik AKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55075/wa.v49i2.289

Abstract

Penelitian ini bertujuan untuk mengoptimalkan metode Ultrasound-Assisted Extraction (UAE) pada rimpang bangle hitam (Zingiber ottensii Valeton) sebagai upaya pemanfaatan tanaman yang belum banyak terekspos, sekaligus menggantikan metode ekstraksi konvensional yang boros pereaksi dan kurang ramah lingkungan. Metode UAE dipilih karena lebih hemat pereaksi, efisien waktu, dan ramah lingkungan. Variasi waktu ekstraksi dan amplitudo diuji untuk memperoleh kondisi optimal. Pada penelitian ini dilakukan analisis scrining fitokimia, kemudian menentukan pengaruh pelarut terhadap aktivitas antioksidan dan antimikroba menggunakan pelarut etanol. Hasil penelitian menunjukkan bahwa aktivitas antioksidan tertinggi diperoleh pada perlakuan D, yaitu waktu ekstraksi 45 menit dengan amplitudo 65%, menghasilkan nilai EC₅₀ sebesar 62,69 mg/L, yang mengindikasikan aktivitas antioksidan kuat. Uji aktivitas antimikroba menunjukkan bahwa ekstrak etanol bangle hitam termasuk kategori sensitif terhadap Bacillus sp., Escherichia coli, dan Candida albicans, dengan potensi sebanding atau mendekati kontrol positif tetrasiklin. Kesimpulannya, ekstraksi rimpang bangle hitam dengan UAE pada kondisi optimal berpotensi menghasilkan senyawa bioaktif dengan aktivitas antioksidan dan antimikroba yang tinggi, sehingga memiliki prospek sebagai bahan nutrasetikal.
PENERAPAN ALGORITMA K-MEANS UNTUK MENGELOMPOKKAN PREFERENSI TRANSAKSI DIGITAL MAHASISWA MUHAMMADIYAH Rosalina, Rosalina; Cucut Hariz Pratomo; Oman Fathurohman SW
Journal of Scientech Research and Development Vol 7 No 2 (2025): JSRD, December 2025
Publisher : Ikatan Dosen Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56670/jsrd.v7i2.1415

Abstract

Pesatnya perkembangan teknologi digital telah mentransformasi pola muamalah di kalangan mahasiswa menjadi berbasis digital. Namun, preferensi mahasiswa terhadap instrumen muamalah digital sangat beragam, dipengaruhi oleh pola interaksi sosial dan literasi keuangan. Penelitian ini bertujuan untuk mengimplementasikan algoritma K-Means Clustering dalam mengelompokkan preferensi transaksi digital mahasiswa Muhammadiyah. Data dikumpulkan melalui kuesioner daring terhadap 80 mahasiswa aktif Perguruan Tinggi Muhammadiyah Aisyiyah dengan variabel penelitian meliputi preferensi beberapa media sosial, penggunaan dompet digital dan mobile banking, intensitas transaksi, dan interaksi dalam ortom Muhammadiyah. Metode penelitian mengikuti tahapan data mining yang meliputi pre-processing, normalisasi data, hingga proses klasterisasi. Penentuan jumlah klaster optimal dilakukan menggunakan Elbow Method. Hasil penelitian menunjukkan terbentuknya tiga klaster utama: klaster “Tinggi" yang mengutamakan interaksi pada suatu media sosial, klaster “Moderat” yang sangat merata, dan klaster “Finansial” yang memiliki preferensi tinggi pada literasi keuangan Temuan ini membuktikan bahwa identitas mahasiswa Muhammadiyah tidak menghasilkan pola transaksi yang homogen.
PENGARUH SUPLEMENTASI MINYAK SAWIT MERAH TERHADAP KADAR HS-CRP TIKUS MALNUTRISI Astani, Ameliora; Milasari, Novi; Rosalina, Rosalina; Supriono, Supriono
Jurnal Riset Kefarmasian Indonesia Vol. 7 No. 3 (2025): Jurnal Riset Kefarmasian Indonesia
Publisher : APDFI (Asosiasi Pendidikan Diploma Farmasi Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33759/v7i3.847

Abstract

Red palm oil (RPO) is a processed product derived from oil palm that is rich in β-carotene, a precursor of vitamin A. Vitamin A is known to play a beneficial role in reducing inflammatory responses, which are among the risk factors that exacerbate stunting. This study aimed to evaluate the effectiveness of RPO in reducing levels of the inflammatory marker high-sensitivity C-reactive protein (Hs-CRP). It is expected that RPO supplementation may help suppress inflammation, thereby contributing to the improvement of nutritional status. An in vivo experimental design was employed using male Sprague Dawley rats, which were divided into five groups: a healthy control group (K+), a malnourished group (K−), and three treatment groups receiving RPO at different dosages (P1: 0.16 ml/200 g BW/day; P2: 0.26 ml/200 g BW/day; and P3: 0.56 ml/200 g BW/day). The intervention lasted for eight weeks, consisting of a four-week malnutrition induction phase followed by a four-week RPO supplementation phase. RPO administration resulted in a significant increase in body weight among the malnourished rats in all treatment groups (P1, P2, and P3) (p < 0.05). However, Hs-CRP levels did not show statistically significant changes following RPO supplementation in malnourished rats. The potential of red palm oil in mitigating malnutrition warrants further investigation by considering inflammatory markers and conducting a comprehensive analysis of vitamin A status.
Image processing analysis to determine fajr time using the imagej application Septianto, Arif; Rosalina, Rosalina; Ramza, Harry
ILKOM Jurnal Ilmiah Vol 13, No 3 (2021)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v13i3.954.300-306

Abstract

The issue of determining the time of prayer is very fundamental because it is one of the pillars so that the worship of a Muslim is accepted. The government has set a standard for carrying out the dawn prayer, namely by determining the degree of appearance of the dawn of shodiq at -20 degrees. This study aims to compare the initial determination of the government's dawn time using different sensors, namely drones as image sensors, drones were chosen because they have several advantages. The resulting data is in the form of photos and then the photo data is processed using digital image processing software, namely imagej. The data from imagej processing are in the form of mean and standard deviation, all data are then recapitulated using Microsoft excel and plotted so as to form data which is then carried out by a polynomial approach to determine the cutoff point as an early indicator of the entry of dawn. The method used in this study is using a qualitative analysis method with a polynomial 5 approach. The conclusion obtained in this study is that the government's dawn time is 21 minutes faster, the standard used in this study is a DIP of -13.95 degrees and unlike the 2D SQM. 3D drone data results in more accurate data analysis and is not easy to manipulate because it can be verified with photo data.
Intelligent Wearable Technology For Hajj: AI-Powered Smart Bracelet for Real-Time Pilgrim Management Rosalina Rosalina; Hasanul Fahmi; Noor Lees Binti Ismail; Danny Ngo Lung Yao
Journal of Applied Engineering and Technological Science (JAETS) Vol. 7 No. 2 (2026): Journal of Applied Engineering and Technological Science (JAETS)
Publisher : Yayasan Riset dan Pengembangan Intelektual (YRPI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/jaets.v7i2.9391

Abstract

The Hajj pilgrimage gathers millions of people each year, creating a dynamic environment that demands efficient health monitoring, safety management, and real-time coordination. This paper presents an AI-powered smart bracelet designed to enhance pilgrim management through the integration of Internet of Things (IoT) technology, fuzzy logic intelligence, and cloud computing. The wearable continuously collects physiological and environmental data—such as temperature, heart rate, humidity, and location—and processes them through a hybrid edge–cloud framework to ensure low latency and scalability. Artificial intelligence algorithms analyze sensor data to detect anomalies and issue early alerts during health or safety incidents. Experimental evaluation under simulated Hajj conditions achieved an average classification accuracy of 94.8%, data transmission latency below 3.5 seconds, and battery endurance of up to 20 hours. These results confirm the system’s reliability, energy efficiency, and suitability for large-scale real-time monitoring. The proposed framework contributes to safer and smarter Hajj operations by improving early risk detection, communication efficiency, and emergency response coordination.
SME Business Intelligence Support Using Retrieval-Augmented Generation and RFM Segmentation Rosalina Rosalina; Noor Lees Ismail; Genta Sahuri; Joseph Tedja Nugraha Wibawa
Journal of Applied Data Sciences Vol 7, No 2: May 2026
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v7i2.1163

Abstract

This study presents the design and evaluation of a cloud-based business intelligence support system for small and medium enterprises that integrates retrieval-grounded text generation with recency–frequency–monetary customer segmentation to enhance digital customer communication and promotional decision making. The primary objective is to assist individual small businesses in responding accurately to customer inquiries while simultaneously leveraging historical transaction data to identify actionable customer groups, all within their existing messaging workflows through a mobile keyboard interface. The proposed framework combines two complementary components. The first component automatically generates customer replies by retrieving semantically relevant information from a structured business knowledge base and using it to produce grounded, context-aware responses. The second component analyzes invoice records to segment customers into loyal, moderate, and at-risk groups, enabling sellers to tailor promotional strategies based on observed purchasing behavior. The system is implemented as a cloud service accessed by individual enterprises without requiring local infrastructure or model training. System evaluation was conducted using real small business data collected over several weeks. Experimental procedures included retrieval faithfulness analysis, response correctness evaluation with confidence intervals, customer cluster validation using silhouette analysis, end-to-end latency measurement, and structured user acceptance testing. Performance results demonstrate that the retrieval mechanism consistently provides accurate knowledge grounding, while the segmentation module effectively distinguishes high-value and churn-risk customers. The average response time remained within a range perceived as acceptable for real-time mobile conversations, and user testing confirms that the keyboard-based interface does not disrupt normal communication practices. The findings indicate that embedding retrieval-grounded generation and lightweight customer analytics directly into daily messaging tools can significantly improve the operational efficiency of small enterprises. This integrated approach reduces the burden of manual response handling while enabling data-driven promotional decision making. The framework offers a practical pathway for adopting artificial intelligence in small business environments and provides a foundation for future enhancements such as temporal behavior modeling and multilingual support.
Unraveling Indonesian heritage through pattern recognition using YOLOv5 Rosalina Rosalina; Genta Sahuri
Computer Science and Information Technologies Vol 5, No 3: November 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v5i3.p265-271

Abstract

This research focuses on three iconic Indonesian batik patterns-Kawung, Mega Mendung, and Parang-due to their cultural significance and recognition. Kawung symbolizes harmony, Mega Mendung represents power, and Parang signifies protection and spiritual power. Using the YOLOv5 deep learning model, the study aimed to accurately identify these patterns. Results showed mean average precision (mAP) scores of 77% for Kawung, 80% for Parang, and an impressive 99% for Mega Mendung. The highest precision results were 91% for Kawung, 88% for Parang, and 77% for Mega Mendung. These findings highlight the potential of pattern recognition in preserving cultural heritage. Understanding these designs contributes to the appreciation of Indonesia s culture. The research suggests applications in cultural studies, digital archiving, and the textile industry, ensuring the legacy of these patterns endures.
Co-Authors Abdul Ghofir Abdul Latif Mahfuz Ade Davy Wiranata Afriliana, Nunik Afriyadi, Afriyadi Ahmad Zakaria Aishaa Lula Al Qadri, Muhammad Vannes Al-Tain, Qolibu Rozak Alhafish, Muhammad Radhi Alham, Fiddini Alminda, Alfian Fadhilah Anthony Kosasi Anugrah Putra Permana Ardini, Ni Luh Ica Ario Yudo Husodo, Ario Yudo Ariyansyah, Riyan Armando, Yoel Ashura, Amar Asriyani, Wa Ode Astani, Ameliora Astuti, Kristiana Aynuddin, Aynuddin Azhar, Kheiza Noor Aulia Baehaqi Batubara, Hani Maisyarah Bimo Seto, Kahfi Akmal Janitra Brian Sumali Brian Sumali, Brian Budi Sulistyo Bukman Lian, Bukman Candra Irawan Chairil Anwar Chong Min An Christina Christina Christina Christina Cindy Laura Cucut Hariz Pratomo Danny Ngo Lung Yao Desniorita Desniorita, Desniorita Desriva, Hana Dessy Wardiah, Dessy Dewanto, Muhammad Ridho Dewi, Resita Dewin, Nikrial Dharma, Agus Pambudi Djanis, Ratnawati Lilasari Djasmasari, Wittri Dwi Ratnasari Eko Supriadi Eko Susilo Elvinaadellia, Elvinaadellia Emilia Roza Endang Sri Lestari Enriyani, Riri Eviriawan, Eviriawan Fahmi, Hasanul Farhan Alif Firmansyah, Firadaus Fitri Bimantoro Friyatmi Friyatmi Galih, Yunita Gunadi, Reza Hani Rohayani Hardwin Welly Tulili Panandu Hartono, Bryan Arista Hasanul Fahmi Hendra Jayanto Hikma Hikma, Hikma Hilda, Atiqah Meuti HILMAN TADJOEDIN, HILMAN Hokki Putra Handika Huwae, Raphael Bianco I Gede Pasek Suta Wijaya Ibadurrohman, Fadhil Muhammad Ismail Ismail Ivan Michael Siregar Ivan Michael Siregar, Ivan Michael Jatmika, Andy Hidayat Joseph Tedja Nugraha Wibawa Kahri, Ma'ruful Kasim, Nurdian Khalisah Hayatuddin Kun Fayakun Leandro Okhotan3, Simplisius Lisandi, Anisa Lita Yusnita Liyanovitasari, Liyanovitasari MA'MUN, AKHMAD HAQIQI Makmun, Akhmad Haqiqi Masrukhan, M. Masrukhan Maulana, Ninda Baitza Meitiyani, Meitiyani Miftahuddin Miftahuddin Milasari, Novi Min An, Chong Mohamad Zaenal Arifin Anis Muchammad Sholeh MUHAMMAD RIZAL Muharramah, Alfi Zahrah Mukhtar, Ahmad Amirrudin Nadya Rizki, Ailsya Nanda, Yovalentino Aprilian Wijaya Nasution, Riski Gunawan Natia, Natia Nofendri, Yos Noor Lees Binti Ismail Noor Lees Ismail Nugraha, Dida Septiya Nunik Afriliana Nunik Pratiwi Nur Hadisukmana Nurdiani Nurdiani, Nurdiani Nurdiansyah Nurdiansyah Nurrahmi, Rara Oman Fathurohman sw Paridjo Paridjo, Paridjo Paryono Pinardi, Sofia Ponoharjo, Ponoharjo Pramesty, Meta Pramudya, Muhammad Kemal Caesar Aqidah Pratiwi, Nunik Prawitasari, Melisa Puji Rahayu Puspitasari, Lutfiana Puspitasari, Riska Putra, Farhan Johansyah Putri, Dwi Kemala Putri, Imalia Dwi R. B. Wahyu R.B. Wahyu Rabbani, Abrar Dyah Rachmy, Silvia Raden Bagus Wahyu Rahardjo, Rafi Diandra Dani Rahayu, Leni Sri Rahmad, Dedy Rahman, Edriza Rahmatia, Lintannisa Rahmi Imanda Ramza, Harry Regina Valeria Rifaldi Rifaldi, Rifaldi Rila Mandala Rini Andriani Riyan Ariyansah Rochgiyanti Rossianiz, Arien Biangningrum Rusdianto Roestam Rusdianto Roestam Sahuri, Genta Sahuri Sajiah, Adha Mashur Sanjaya, Yudi Ari Saputra, Iman Saputra, Riza Hadi Sengkey, Axel Septian, Wira Aditia Septianto, Arif Setyaningsih, Maryanti Sih Rini Handajani Simplisius Leandro Okhotan3 Sinduningrum, Estu Sri Agustina, Sri Sri Wahyuni Srimulati, Triwik Styani, Erna Suhartini Suhartini Sukiman, Maman Sulistiawati Sulistiawati Supriono Supriono Suryana, Kresna Dharma Susi Evanita Syahir, Muhammad Syahputra, Kerisna Darmawan Syarwan, Syarwan Tambunan, Jenny Anna Margaretha Tika, Nuri Hidayah Tjong Wan Sen Ulia, Hasnah Utami, Andita Wahyu Hidayat Wahyu, R. B. Wahyu, Raden Bagus Welly Tulili Panandu, Hardwin Widarta, Oskar Ady Widodo, Muh. Adnan Widodo, Muhammad Adnan Wijaya, Ardi Winastuti, Ambar Windia Hadi, Windia Wiranto Herry Utomo Wirawan, I Gde Putu Wirarama Wedashwara Wulandari, Triyana Wulansari Yatima, Khusnul Yusnar, Cut Yusnita, Lita Yusuf, Syahrul Bassam Yuyu Wahyu