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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 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 JISA (Jurnal Informatika dan Sains) Jurnal PORKES Indonesian Journal of Electrical Engineering and Computer Science Computer Science and Information Technologies Jurnal Darma Agung Indonesian Journal of Global Health research Indonesia Berdaya Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Teknik Informatika (JUTIF) 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 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 Akiratech JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Sipil Sains Terapan
Rosalina Rosalina
President University
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Analysis Of Factors Influencing Consumer Decisions In Buying Trademarked Tempe In Langsa City Tika, Nuri Hidayah; Alham, Fiddini; Rosalina, Rosalina
Sharia Agribusiness Journal Vol. 4 No. 2 (2024)
Publisher : Department of Agribusiness, Faculty of Science and Technology, UIN Syarif Hidayatullah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/saj.v4i2.40452

Abstract

ABSTRACTThis study aims to analyze the factors that influence consumer decisions to purchascing trademarked tempeh in Langsa City. The independent variables used in this research are price, brand image, quality and packaging. The dependent variable  is the consumers’ decision to buy trademarked tempeh. The sampling technique was detrermined used the nonprobability sampling method, namely, the accidental sampling method of 60 respondents. Primary and secondary data were used for a quantitative descriptive approach. The data analysis included multiple linear regression analyses. The results show that  price and quality variables (X1 and X3) have a significant effect on consumer decisions in buying trademarked tempeh, whereas brand image and packaging variables (X2 and X4) do not have a significant effect on consumer decisions in buying trade branded tempeh.Keywords: tempeh; consumer decisions; price; brand image; quality; packaging ABSTRAKPenelitian ini bertujuan untuk menganalisis faktor-faktor yang mempengaruhi keputusan konsumen dalam membeli tempe bermerek di Kota Langsa. Variabel bebas yang digunakan dalam penelitian ini adalah harga, citra merek, kualitas dan kemasan. Variabel terikatnya adalah keputusan konsumen dalam membeli tempe bermerek. Teknik pengambilan sampel menggunakan metode nonprobability sampling yaitu metode accidental sampling dengan jumlah responden sebanyak 60 orang. Data primer dan sekunder digunakan untuk pendekatan deskriptif kuantitatif. Analisis data yang digunakan adalah analisis regresi linier berganda. Hasil penelitian menunjukkan bahwa variabel harga dan kualitas (X1 dan X3) berpengaruh signifikan terhadap keputusan konsumen dalam membeli tempe bermerek, sedangkan variabel citra merek dan kemasan (X2 dan X4) tidak berpengaruh signifikan terhadap keputusan konsumen dalam membeli tempe bermerek.Kata Kunci: tempe; keputusan konsumen; harga; citra merek; kualitas; kemasan
Guru PAK sebagai Motivator dalam Meningkatkan Gairah Belajar Anak Didik Rohayani, Hani; Rosalina, Rosalina
HUPERETES: Jurnal Teologi dan Pendidikan Kristen Vol 5, No 1 (2023): Desember 2023
Publisher : Sekolah Tinggi Teologi Kalimantan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46817/huperetes.v5i1.224

Abstract

The role of a Christian teacher as motivator in a learning process is important. Teachers exist not only to deliver teaching materials to students, they also need to motivate students so that they have passion for learning. This research is motivated by the existence of students who are not passionate about learning and need encouragement or motivation from the teacher. This research aims to describe the importance of motivation for a student to have so that the student has enthusiasm in learning. This research uses descriptive qualitative research methods with a literature study approach. From this research it is concluded that Christian teachers need to generate motivation in students so that they are passionate about learning, namely by: motivating students in completing tasks, building a conducive learning atmosphere, using creative teaching methods, building enthusiastic relationships with students, rewarding students in the form of: point; gift; praise; and other things to encourage students in learning, and involving students in learning process.Peran seorang Guru Pendidikan Agama Kristen (PAK) sebagai motivator dalam suatu proses pembelajaran sangatlah penting. Guru hadir bukan sekedar menyampaikan bahan ajar kepada anak didik, tetapi juga memotivasi anak didik agar memiliki semangat belajar. Penelitian ini dilatarbelakangi oleh adanya anak didik yang tidak bergairah belajar dan memerlukan dorongan atau motivasi dari guru. Penelitian ini bertujuan untuk mendeskripsikan pentingnya motivasi untuk dimiliki seorang anak didik sehingga anak didik tersebut memeiliki kegairahan dalam belajar. Penelitian ini menggunakan metode penelitian kualitatif deskriptif dengan pendekatan studi kepustakaan. Dari penelitian ini disimpulkan bahwa guru PAK perlu membangkitkan motivasi dalam diri anak didik agar mereka bergairah dalam belajar, yaitu dengan cara: memotivasi anak didik dalam menyelesaikan tugas-tugas, membangun suasana pembelajaran yang kondusif, menggunakan metode mengajar yang kreatif, membangun relasi yang penuh antusiasme dengan anak didik, memberikan penghargaan kepada anak didik berupa: nilai, hadiah; pujian; dan hal lainnya untuk menyemangati anak didik dalam belajar, serta melibatkan anak didik dalam pembelajaran.
STUDENT FOCUS DETECTION USING YOU ONLY LOOK ONCE V5 (YOLOV5) ALGORITHM Rosalina, Rosalina; Bimantoro, Fitri; Suta Wijaya, I Gede Pasek
Jurnal Teknik Informatika (Jutif) Vol. 5 No. 5 (2024): JUTIF Volume 5, Number 5, Oktober 2024
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2024.5.5.1977

Abstract

Education has a very important role in life, student involvement in the learning process in the classroom is an important factor in the success of learning. However, some students pay less attention to the lesson, indicating a lack of productivity in learning. The use of machine learning and computer vision techniques has undergone significant development in the last decade and is applied in a variety of applications, including monitoring student attention in the classroom. One of the commonly used techniques in machine learning and computer vision to detect objects is by applying image processing. One of the algorithms implemented for object detection that can provide good results is You Only Look Once. This research proposes the application of YOLOV5 in real time student focus detection and analyzes the performance and computational load of the five YOLOV5 architectures (YOLOV5n, YOLOV5s, YOLOV5m, YOLOV5l, and YOLOV5x) in student surveillance during classroom learning. The dataset used is video data that has been converted into image form, and 297 images are produced. Where, this dataset is divided into 2 classes, namely the "Focus" and "Not Focus" classes. The results show that YOLOV5x has the highest computational load with large parameter values and GFLOPs. However, in term model performance YOLOV5m provides more optimal results than other architectures, with precision of 83.3%, recall of 85.1%, and mAP@50 of 89.9%. The results of this study show that the proposed YOLOV5 model can be a good performing method in detecting student focus in real time.
Development of a Convolutional Neural Network Method for Classifying Ripeness Levels of Servo Variety Tomatoes Rosalina, Rosalina; Husodo, Ario Yudo; Wijaya, I Gede Pasek Suta
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 2 (2025): JUTIF Volume 6, Number 2, April 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.2.4168

Abstract

The distribution of tomatoes in Indonesia is huge, making it an important commodity in the agricultural sector. However, manual classification of tomato ripeness can lead to human error and decrease supply chain efficiency. Therefore, an automated system capable of classifying tomatoes quickly and accurately is needed, in order to reduce the potential for human error and improve supply chain efficiency. This research aims to develop the Convolutional Neural Network (CNN) method to improve the accuracy of tomato ripeness detection through modifications to the architecture, such as reducing several layers, adding batch normalization, and adding dropouts. The dataset used in this study consists of 500 images taken by the researcher himself which are divided into 5 classes, namely unriped, half-riped, riped, half-rotten, and rotten, with each class containing 100 images. There are 3 proposed CNN models, namely the standard model, as well as the addition of batch normalization and dropout in the architecture. The results showed that the proposed model 3 with the addition of dropout on several layers of its architecture is the optimal model with a parameter of 2.4 million and using a batch size of 16 resulting in an accuracy of 98%, as well as precision, recall, and F1-score values of 98%. With these results, the proposed CNN model is effective in identifying the ripeness level of tomato fruit. This research is expected to be applied in the agricultural industry to improve the efficiency of sorting and distributing tomato fruits according to the desired quality standards.
Peningkatan Hasil Belajar Siswa dengan Metode Demonstrasi di Kelas XII MIA 9 SMAN 10 Padang Rosalina, Rosalina
Ikhtisar: Jurnal Pengetahuan Islam Vol 2 No 2 (2022): Vol 2 No 2 Tahun 2022
Publisher : Institut Agama Islam Sumatera Barat Pariaman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55062/ijpi.v2i2.130

Abstract

This Classroom Action Research aims to improve student learning outcomes by applying the demonstration method to mathematics learning. The research procedure uses Classroom Action Research (CAR) with several cycles. Each cycle includes four stages, namely planning, implementation, observation, and reflection. The research subjects were students of class XII MIA 9 SMAN 10 Padang in the academic year 2018/2019 odd semester as many as 30 people. Data from research results: 33.33% pre-cycle completeness increased in the first cycle completed 63.33%, and increased in the second cycle completed 83.33%. Overall there is always an increase from pre-cycle to cycle II. Thus it can be concluded that: Improving Student Learning Outcomes With the Demonstration Method In Class XII MIA 9 SMAN 10 Padang
Penerapan Model Inquiring Minds Want To Know Pada Tema 7 (Kepemimpinan) Upaya Meningkatkan Motivasi Dan Hasil Belajar Peserta Didik Kelas VI Semester Satu Tahun Pelajaran 2019/2020 di SD Negeri 30 Mataram Rosalina, Rosalina
JISIP: Jurnal Ilmu Sosial dan Pendidikan Vol 4, No 2 (2020): JISIP (Jurnal Ilmu Sosial dan Pendidikan)
Publisher : Lembaga Penelitian dan Pendidikan (LPP) Mandala

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (273.775 KB) | DOI: 10.58258/jisip.v4i2.1062

Abstract

Penelitian ini bertujuan untuk mengetahui efektifitas penerapan model pembelajaran Inquiring Minds Want To Know dalam upaya meningkatkan motivasi dan hasil belajar Peserta Didik Kelas VI SD Negeri 30 Mataram. Manfaat penelitian ini adalah sebagai bahan kajian dan bahan temuan dalam pelaksanaan proses pembelajaran di kelas senyatanya. Bagi guru untuk meningkatkan kompetensi dalam proses pembelajaran dan bagi Peserta Didik untuk meningktakan motivasi belajar yang berdampak meningkatnya hasil belajar Peserta Didik. Penelitian ini dilaksanakan dua siklus, masing-masing siklus kegiatannya adalah; perencanaan, pelaksanaan, observasi dan refleksi. Hasil akhir tindakan pada siklus II menunjukkan bahwa hasil observasi guru memperoleh skor rata-rata (4,79) dan hasil observasi Peserta Didik mencapai skor rata-rata (4,46). Sedangkan dampak dari peningkatan motivasi belajar adalah meningkatnya perolehan hasil belajar Peserta Didik mencapai nilai rata-rata (86,87), artinya indikator keberhasilan (> 4,0) telah terlampaui. Karena indicator keberhasilan telah terbukti penelitian dinyatakan berhasil dan dihentikan pada siklus II.
MIDI-based generative neural networks with variational autoencoders for innovative music creation Rosalina, Rosalina; Sahuri, Genta
International Journal of Advances in Applied Sciences Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v13.i2.pp360-370

Abstract

By utilizing variational autoencoder (VAE) architectures in musical instrument digital interface (MIDI)-based generative neural networks (GNNs), this study explores the field of creative music composition. The study evaluates the success of VAEs in generating musical compositions that exhibit both structural integrity and a resemblance to authentic music. Despite achieving convergence in the latent space, the degree of convergence falls slightly short of initial expectations. This prompts an exploration of contributing factors, with a particular focus on the influence of training data variation. The study acknowledges the optimal performance of VAEs when exposed to diverse training data, emphasizing the importance of sufficient intermediate data between extreme ends. The intricacies of latent space dimensions also come under scrutiny, with challenges arising in creating a smaller latent space due to the complexities of representing data in N dimensions. The neural network tends to position data further apart, and incorporating additional information necessitates exponentially more data. Despite the suboptimal parameters employed in the creation and training process, the study concludes that they are sufficient to yield commendable results, showcasing the promising potential of MIDI-based GNNs with VAEs in pushing the boundaries of innovative music composition.
Generating intelligent agent behaviors in multi-agent game AI using deep reinforcement learning algorithm Rosalina, Rosalina; Sengkey, Axel; Sahuri, Genta; Mandala, Rila
International Journal of Advances in Applied Sciences Vol 12, No 4: December 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v12.i4.pp396-404

Abstract

The utilization of games in training the reinforcement learning (RL) agent is to describe the complex and high-dimensional real-world data. By utilizing games, RL researchers will be able to evade high experimental costs in training an agent to do intelligence tasks. The objective of this research is to generate intelligent agent behaviors in multi-agent game artificial intelligence (AI) using deep reinforcement learning (DRL) algorithm. A basic RL algorithm called deep Q network is chosen to be implemented. The agent is trained by the environment's raw pixel images and the action list information. The experiments conducted by using this algorithm show the agent’s decision-making ability in choosing a favorable action. In the default setting for the algorithm, the training is set into 1 epoch and 0.0025 learning rate. The number of training iterations is set to one as the training function will be repeatedly called for every 4-timestep. However, the author also experimented with two different scenarios in training the agent and compared the results. The experimental findings demonstrate that our agents learn correctly and successfully while actively participating in the game in real time. Additionally, our agent can quickly adjust against a different enemy on a varied map because of the observed knowledge from prior training.
Implementasi Sistem Monitoring Jaringan Menggunakan Zabbix Berbasis SNMP pada UPT Pusat Teknologi Informasi dan Komputer (PUSTIK) Universitas Mataram: Implementation of Network Monitoring System Using Zabbix Based on SNMP at Center for Information Technology and Computer Services of Mataram University Rosalina, Rosalina; Huwae, Raphael Bianco; Ratnasari, Dwi; Jatmika, Andy Hidayat; Wirawan, I Gde Putu Wirarama Wedashwara
Jurnal Begawe Teknologi Informasi (JBegaTI) Vol. 5 No. 1 (2024): JBegaTI
Publisher : Program Studi Teknik Informatika, Fakultas Teknik Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jbegati.v5i1.1191

Abstract

UPT Pusat Teknologi Informasi dan Komunikasi Universitas Mataram merupakan salah satu tempat/pusat untuk melakukan pemantauan terhadap semua jaringan yang berada di lingkungan Universitas Mataram. Administrator jaringan memerlukan pemantauan jaringan dalam mengelola jaringan. Kemajuan teknologi memungkinkan pemantauan jaringan menggunakan protokol SNMP yang digabungkan dengan sistem pemantauan menggunakan Zabbix. Tujuan penelitian ini adalah agar administrator jaringan dapat lebih cepat memecahkan masalah dengan memantau jaringan yang ada. Sistem Monitoring ini dapat menampilkan informasi dari perangkat jaringan seperti Data Lalu Lintas, Penggunaan Bandwidth, Temperature, dan Response Time. Hasil dari percobaan yang telah dilakukan telah terbukti mampu memantau jaringan menggunakan Zabbix berbasis SNMP dengan menampilkan hasil yang diharapkan.
Pelatihan Pembuatan Pupuk Kompos pada IKM ARG Desa Pesawahan Kabupaten Garut Suhartini, Suhartini; Irawan, Candra; Sukiman, Maman; Rosalina, Rosalina; Utami, Andita; Putri, Imalia Dwi; Septian, Wira Aditia; Azhar, Kheiza Noor Aulia; Alhafish, Muhammad Radhi; Pramudya, Muhammad Kemal Caesar Aqidah
Jurnal Pengabdian Masyarakat AKA Vol 3, No 2 (2023): Desember 2023
Publisher : Politeknik AKA Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55075/jpm-aka.v3i2.176

Abstract

Livestock waste is still a problem that demands government attention. One of the livestock wastes that cause pollution comes from the cultivation of rabbits. The variation in the number of processed rabbits causes an increase in demand for the number of rabbits, which will be proportional to the amount of waste produced, both in the form of manure and leftover feed. One of the efforts to control rabbit farm waste can be done by processing it into compost. This community service activity aims to provide skills in making compost made from manure and rabbit feed to the Pesawahan Village community, who are members of IKM ARG using Effective Microorganism 4 (EM4) and Trichoderma activators. Training activities are carried out through three stages, namely pre-implementation which includes an initial survey and situation analysis, the implementation stage which consists of outreach and composting training, and evaluation of the results of activities. The results of the training showed that the compost from the training was smoother and moister than the IKM ARG fertilizer before the training was given. Based on the results of the questionnaire, it is known that IKM ARG members are interested in applying the results of the training to produce compost.
Co-Authors Abdul Ghofir Ade Davy Wiranata Afriliana, Nunik Afriyadi, Afriyadi Ahmad Zakaria Aishaa Lula Al Qadri, Muhammad Vannes Al-Tain, Qolibu Rozak Alhafish, Muhammad Radhi Alham, Fiddini Anthony Kosasi Anugrah Putra Permana Ardini, Ni Luh Ica Ario Yudo Husodo, Ario Yudo Ariyansyah, Riyan Armando, Yoel Ashura, Amar Asriyani, Wa Ode Astuti, Kristiana Aynuddin, Aynuddin Azhar, Kheiza Noor Aulia 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 Davy Wiranata, Ade 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 Hardwin Welly Tulili Panandu Hartono, Bryan Arista Hayatuddin, Khalisah 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 Ivan Michael Siregar Ivan Michael Siregar, Ivan Michael Jatmika, Andy Hidayat Kahri, Ma'ruful Kasim, Nurdian Kun Fayakun Leandro Okhotan3, Simplisius Lisandi, Anisa Lita Yusnita Liyanovitasari, Liyanovitasari MA'MUN, AKHMAD HAQIQI Mahfuz, Abdul Latif Makmun, Akhmad Haqiqi Masrukhan, M. Masrukhan Maulana, Ninda Baitza Meitiyani, Meitiyani Miftahuddin Miftahuddin Min An, Chong Mohamad Zaenal Arifin Anis Muchammad Sholeh MUHAMMAD RIZAL Muharramah, Alfi Zahrah Mukhtar, Ahmad Amirrudin Nadya Rizki, Ailsya Nanda, Yovalentino Aprilian Wijaya Natia, Natia Nofendri, Yos Nugraha, Dida Septiya Nunik Afriliana Nunik Pratiwi Nur Hadisukmana Nurdiani Nurdiani, Nurdiani Nurdiansyah Nurdiansyah Nurrahmi, Rara Paridjo Paridjo, Paridjo Paryono Pinardi, Sofia Ponoharjo, Ponoharjo Pramesty, Meta Pramudya, Muhammad Kemal Caesar Aqidah Pratiwi, Nunik Prawitasari, Melisa PUJI LESTARI Puji Rahayu Puspitasari, Lutfiana Puspitasari, Riska 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 Rila Mandala Rini Andriani Riyan Ariyansah Rochgiyanti Rohayani, Hani 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 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 Suryana, Kresna Dharma Susi Evanita Syahir, Muhammad 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