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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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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.
Sosialisasi Teknologi Pembuatan Pakan Ikan Terapung pada Kelompok Peternak Andir Farm di Cibinong Bogor Jawa Barat Rosalina, Rosalina; Wiranata, Ade Davy; Meitiyani, Meitiyani; Firmansyah, Firadaus; Elvinaadellia, Elvinaadellia; Al-Tain, Qolibu Rozak
Jurnal Inovasi Pengabdian dan Pemberdayaan Masyarakat Vol 4 No 2 (2024): JIPPM - Desember 2024
Publisher : CV Firmos

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54082/jippm.690

Abstract

Pengabdian Kepada Masyarakat kali ini ditujukan pada kelompok petani tambak ikan jenis lele yaitu kelompok petani “Andir Farm” yang berlokasi di kecamatan Cibinong, kabupaten Bogor, Propinsi Jawa barat. Tambak ikan ini merupakan usaha bersama dalam satu ikatan persaudaraan satu kelompok pengajian yang mana untuk mendukung biaya dakwah pengajian maka usaha tambak ikan ini menjadi prioritas sumber dana. Kelompok Tambak ikan Andir Farm terdiri dari beberapa tambak ikan yang menyebar di antara lokasi anggota Andir Farm. Kebanyakan anggota kelompok usaha tambak ikan mengeluhkan akan mahalnya harga pakan ikan sehingga memberatkan biaya produksi, yaitu tingginya harga pakan ikan tidak diimbangi dengan harga jual ikan di pasaran, karena alasan ini makatujuan dari kegiatan pengmas ini adalah membantu kelompok petani tambak ikan Andir Farm dalam penyediaan pakan ikan dengan cara melatih petani dalam pembuatan pakan ikan terapung melalui mesin pembuat pakan ikan lele, lebih jauh hasil produksi selain dipakai sendiri juga akan dipasarkan di pasar e-commerce guna meningkatkan perekonomian. Metode yang digunakan dimulai dari tahapan persiapan, sosialisasi, praktik lapangan, dan evaluasi. Evaluasi dilakukan untukmenilaikeberhasilan program dan respons peserta terhadap pelatihan yang diberikan. Hasil darikegiatanpengabdian MasyarakatKemendikbud ini adalahPetambak AndirFarm memiliki keterampilan dalam memproduksi pakan ikan lele yang berkualitas serta mampumengembangkan produksi ikan lele.
Factors of Low Birth Weight (LBW) Most Related to Stunting in Toddlers Winastuti, Ambar; Handajani, Sih Rini; Rosalina, Rosalina
Jurnal Kebidanan dan Kesehatan Tradisional Jurnal Kebidanan dan Kesehatan Tradisional Volume 9 Number 1 Year 2024
Publisher : Poltekkes Kemenkes Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37341/jkkt.v9i1.674

Abstract

Background: Stunting is a condition of growth failure in toddlers due to chronic malnutrition, resulting in children being too short for their age, which has an impact on mortality, motor development, and language skills. This study aims to determine the factors associated with stunting in toddlers in Semen Village, Jatisrono District, Wonogiri Regency.  Methods: This study used an observational analytical design with a case-control approach. Sampling was conducted using total sampling technique, resulting in 62 respondents. The research instruments were questionnaires and medical records, while data analysis was performed using the Chi-square test and logistic regression to identify the relationship between variables.  Results: The results showed that factors significantly associated with stunting were maternal age (χ² = 4.509; p = 0.034), family income (χ² = 5.599; p = 0.018), and low birth weight (LBW) (χ² = 9.378; p = 0.002). The most dominant factor associated with stunting was LBW. The variables of education (χ² = 0.622; p = 0.430), parity (χ² = 0.295; p = 0.587), and exclusive breastfeeding (χ² = 0.081; p = 0.776) did not show a significant relationship.  Conclusion: Factors associated with stunting are maternal age, family income, and low birth weight. The most dominant factor associated with stunting is low birth weight. Health workers and village governments can improve nutrition education for expectant mothers, monitor infant growth from birth, and provide special interventions for infants with LBW to prevent stunting.
STUDI KERUSAKAN JALAN DAN ESTIMASI BIAYA PERBAIKAN (Studi Kasus : Jalan Bireuen – Takengon Km 9+000 s.d 13+000) Rizal, Muhammad; Rosalina, Rosalina; Zulfikar, Zulfikar
Jurnal Sipil Sains Terapan Vol 2, No 02 (2019): JURNAL SIPIL SAINS TERAPAN
Publisher : Pusat Penelitian dan Pengabdian Masyarakat (P2M)

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

Abstract

Jalan merupakan prasarana transportasi yang sangat berperan penting dalam mengalirkan arus lalu lintas. Jalan Bireuen – Takengon KM 9 + 000 sampai dengan KM 13 + 000 merupakan jalan kolektor yang sering dilalui oleh kendaraan berat. Ruas jalan yang ditinjau sepanjang 4 kilometer dimana kendaraan berat sering melewati jalan tersebut dan mengakibatkan kerusakan  pada permukaan  jalan dan pondasi. Penelitian ini bertujuan untuk mengetahui nilai kondisi berdasarkan jenis-jenis kerusakan sehingga dapat menentukan penanganannya dan menghitung biaya perbaikan. Metode yang digunakan dalam penelitian ini adalah Pavement Condition Index (PCI) dan analisa untuk menghitung biaya perbaikan  menggunakan analisa AHSP 2016. Hasil penelitian ini didapat jenis keruskan yaitu: retak halus (hair cracking) 5%, lubang (pothole) 3%, retak pinggir (edge cracking) 15%, amblas (depression) 45%, pelepasan butiran (raveling) 5%, tambalan (patching) 5%, retak kulit buaya (alligator cracking) 13% dan sungkur (shoving) 9% dan didapat nilai PCI sebesar 30,75 yang berada dalam keadaan buruk (poor). Biaya perbaikan yang diperoleh dari hasil perhitungan AHSP 2016 sebesar Rp. 682.671.000,00..Kata Kunci: Kerusakan Jalan, Pavement Condition Index (PCI)
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