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All Journal Techno.Com: Jurnal Teknologi Informasi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Jurnal Teknik Elektro Jurnal Media Wahana Ekonomika PREDIKSI 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 Abdimas Umtas : Jurnal Pengabdian kepada Masyarakat 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) Warta Pengabdian Andalas: Jurnal Ilmiah Pengembangan Dan Penerapan Ipteks Lumbung Inovasi: Jurnal Pengabdian Kepada Masyarakat Jurnal Silva Samalas: Journal of Forestry and Plant Science Jurnal Elkasista ADMA: Jurnal Pengabdian dan Pemberdayaan Masyarakat 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 Jurnal Riset Rumpun Ilmu Pendidikan (JURRIPEN) Prosiding Seminar Nasional Unimus 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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A DESAIN SMART ARMY ROBOT SEBAGAI MEDIA PEMANTAU DAN NEGOSIASI BERBASIS ARTIFICIAL INTELLIGENCE: DESAIN SMART ARMY ROBOT SEBAGAI MEDIA PEMANTAU tadianta m., Winardi aries; Widiatmoko, Dekki; Hairani, Hairani
Jurnal Elkasista Vol 5 No 2 (2024): Jurnal Elkasista
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/elka.v5i2.521

Abstract

One of the most critical components of hostage rescue efforts is the agreement on hostage release. Officer errors in taking action during the negotiation process can jeopardize the safety of personnel and officers as well as hostage victims. Lack of communication often leads to dangerous conflicts that can hamper hostage taking. To solve this problem, we designed a specialized negotiation robot that is armed to ensure the safety and security of officers in the line of duty, both in war situations and hostage release operations. By having weapons, officers responsible for the safety of victims can perform their duties without compromising their personal security. These military robots enable negotiation and monitoring without threatening lives, providing a more efficient and safe approach. In addition, the robot's ability to operate autonomously with the help of artificial intelligence allows for faster assessment of the situation and a more appropriate response, thereby increasing the chances of a successful rescue mission without adding risk to the humans involved. The robot is also equipped with advanced sensors and machine learning algorithms that can detect changes in the hostage-taker's behavior and body language, providing valuable information to the negotiation team to devise a more effective strategy. Thus, the implementation of this technology not only improves the security and efficiency of military operations, but also paves the way for further innovations in the use of robotics and Artificial Intelligence in various aspects of defense and security.
PEMANFAATAN FREE ENERGY UNTUK PENGISIAN DAYA MENGGUNAKAN GENERATOR MAGNET DALAM OPERASI MILITER DI MEDAN TERPENCIL Eka Setiawan, Rian Putra; Kasiyanto, Kasiyanto; Hairani, Hairani
Jurnal Elkasista Vol 5 No 2 (2024): Jurnal Elkasista
Publisher : Pustaka Poltekad

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54317/elka.v5i2.522

Abstract

Penelitian ini bertujuan mambantu tugas pokok TNI-AD menggunakan Generator magnet yang memiliki konsep free energy sebagai solusi untuk penyediaan energi dalam operasi militer, terutama di wilayah terpencil di mana sumber energi konvensional kurang dan sulit dijangkau. Generator magnet yang dirancang untuk dapat beroperasi pada kecepatan rendah dapat mengisi perangkat militer dengan generator magnet yang memiliki konsep free energy. Dengan desain, pengujian, dan analisis generator magnet yang dioptimalkan untuk pengisian daya pada kecepatan rendah. Penelitian ini adalah bertujuanagar generator magnet menghasilkan energy yang dapat digunakan di medan operasi militer terpencil. Hasil pengujian menunjukkan bahwa generator ini mampu menghasilkan energi yang tinggi dengan efisiensi mencapai 82,3% pada kecepatan 200 RPM. Energi yang dihasilkan cukup untuk mengisi daya perangkat militer dan menyediakan cadangan daya yang stabil. Dengan kemampuan ini, generator magnet yang dirancang dapat menjadi sumber daya yang cukup untuk mendukung operasi militer di medan yang sulit dijangkau.
Improving Classification Performance on Imbalanced Stroke Datasets Using Oversampling Techniques Innuddin, Muhammad; Hairani; Jauhari, M. Thonthowi; Mardedi, Lalu Zazuli Azhar
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 5 (2025): October 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i5.6859

Abstract

Stroke is the second leading cause of death worldwide and a major factor in long-term disability. Although early detection based on machine learning continues to be developed, it still faces challenges in the form of data imbalance, which can reduce classification performance. This study aimed to evaluate the effectiveness of several oversampling techniques, such as SMOTE, Borderline-SMOTE, and SVM-SMOTE, in improving the performance of stroke classification models on imbalanced data. The methods used included the application of three oversampling techniques, namely SMOTE, Borderline-SMOTE, and SVM-SMOTE, to balance the data distribution. Furthermore, Random Forest and XGBoost algorithms were used as classification models to identify stroke cases. The results of this study show that the use of oversampling techniques significantly improves model performance, especially in MCC and AUC metrics, compared to models without oversampling. Borderline-SMOTE provides the best results, with the highest accuracy of 96.45% on Random Forest and 96.41% on XGBoost, as well as MCC and AUC values that are consistently superior to other techniques. Furthermore, this study highlights that the use of Borderline-SMOTE significantly enhances model performance, as evidenced by an increase in MCC of 87.51% and an AUC of 45.40% in Random Forest, along with an increase in MCC of 76.52% and an AUC of 41.81% in XGBoost. These findings confirm that Borderline-SMOTE is an effective approach for dealing with data imbalance and improving the model's ability to detect minority classes in stroke classification.
SMOTE Variants and Random Forest Method: A Comprehensive Approach to Breast Cancer Classification Baiq Candra Herawati; Hairani Hairani; Juvinal Ximenes Guterres
International Journal of Engineering Continuity Vol. 3 No. 1 (2024): ijec
Publisher : Sultan Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58291/ijec.v3i1.147

Abstract

This research focused on using machine learning methods for breast cancer diagnosis, considering that breast cancer is the scariest disease for women because it can cause mortality. Not only that, but there is also an increase in breast cancer death rates in women yearly.  Early prediction is the right solution to increase life expectancy and reduce mortality rates caused by breast cancer. However, breast cancer data has a problem, namely that the data is imbalanced, which harms the performance of the machine learning method itself. In the data, breast cancer had a Benign class (357 instances) more than the Malignant class (212 instances). Therefore, this study aimed to solve the problem of imbalanced data using the Smote variants and Random Forest approaches in breast cancer classification. The results of this study showed that the Smote approach with Random Forest had the best performance compared to Borderline Smote and Random Forest in the case of breast cancer data classification, where Smote with Random Forest produced an accuracy of 97.3%, sensitivity of 96.9%, and specificity of 97.8%. In comparison, Borderline Smote with Random Forest produced an accuracy of 96.4%, sensitivity of 95.6%, and specificity of 96.9%. The results of this study can contribute to predicting breast cancer using the proposed method, because it has been proven to have high accuracy.
Edukasi Seksual & Konseling Remaja untuk Pencegahan Pernikahan Dini di Klinik Bumi Sehat Desa Batu Mekar Kabupaten Lombok Barat Isviyanti, Isviyanti; Triandini, I Gusti Agung Ayu Hari; Hairani, Hairani; Gumangsari, Ni Made Gita; Hidayati, Diana; Kandisa, Amelia; Mayasari, Astri; Gustiya, Sherly Dwi; Astuti, Ni Luh Budi
Jurnal Pengabdian UNDIKMA Vol. 6 No. 1 (2025): February
Publisher : LPPM Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v6i1.13990

Abstract

This community service activity aims to provide sexual education and prevent early marriage to teenagers using a holistic psychological counseling and parenting approach, from a legal, social, and midwifery perspective. The method of implementing this service used counseling and mentoring on sexual and reproductive health education using a question-and-answer design. The targets of this activity were teenagers from Batu Mekar Village, West Lombok Regency who were still of school age using a questionnaire instrument which was then statistically analyzed using the t test. The results of this service showed that teenagers were aware of the impact of early marriage and understood anemia, and sexual reproductive health about the incidence of early marriage and stunting. By implementing this community service program, a youth posyandu/youth class was successfully established at the Bumi Sehat Clinic. This is useful in providing a forum for teenagers to discuss and consult regarding sexual, physical, and mental reproductive health issues as well as positive activities to prevent early marriage.
Sistem Pakar Diagnosa Penyakit THT Menggunakan Inferensi Forward Chaining dan Metode Certainty Factor Dirgantara, Bhintang; Hairani, Hairani
Jurnal Bumigora Information Technology (BITe) Vol. 3 No. 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v3i1.1241

Abstract

Currently, Ear, Nose, and Throat (ENT) has become a disease that is quite common in the world. In Indonesia, people with ENT disease are around 190-230 per 1000 population. The types of diseases studied in this study were Serous Orthitis Media, Nasal Polyps, Acute Pharyngitis, Retrofaryngeal Abscess, and Nafosaryngeal Carcinoma. The purpose of this study was to make an application of an expert system for the diagnosis of ENT diseases using forward chaining inference and certainty factors that can facilitate medical personnel to diagnose types of ENT diseases. The stages of developing an expert system in this study consisted of problem identification for problem domain, knowledge acquisition was used to obtain the MB and MD value of each symptom in ENT disease with the interview method, the design was used to design knowledge representations such as decision tables and inference engine. With the expert system of ENT disease diagnosis, it can make it easier for doctors to make decisions, or the right diagnosis of a symptom that arises in ENT, so that proper treatment is obtained and minimizes the occurrence of misdiagnoses
Peningkatan Kinerja Metode Random Forest Berbasis Smote-Tomek Link Pada Sentimen Analisis Pariwisata Lombok Marzuki, Khairan; Rady Putra, Lalu Ganda; Hairani, Hairani; Mardedi, Lalu Zazuli Azhar; Guterres, Juvinal Ximenes
Jurnal Bumigora Information Technology (BITe) Vol. 5 No. 2 (2023)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/bite.v5i2.3166

Abstract

Background: Tourists visiting Lombok Island can access various sources of tourist information and can share their views and tourist experiences through social media such as positive and negative experiences. Objective: This research aims to analyze the sentiment of Lombok tourism reviews using the Smote-Tomek Link and Random Forest algorithms.Methods: The research was carried out in several stages, namely collecting the Lombok tourism dataset, text preprocessing, text weighting using the Term Frequency-Inverse Document Frequency (TF-IDF) method, data sampling using SMOTE-Tomek Link, text classification using Random Forest, and the final stage was performance testing based on accuracy. Result: The research results obtained using the Smote-Tomek Link and Random Forest methods in sentiment analysis analysis of tourist reviews about Lombok were 94%. Conclusion: The use of the Smote-Tomek Link and Random Forest methods in Lombok tourism sentiment analysis produces very good accuracy.
TUMBUHAN KEHUTANAN SEBAGAI PENDUKUNG INTEGRATIVE MEDICINE UNTUK PRIMARY HEALTH CARE IBU DAN ANAK: TINJAUAN LITERATUR Triandini, I Gusti Agung Ayu Hari; Hairani, Hairani
Jurnal Silva Samalas Vol. 7 No. 1 (2024): Juni 2024
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jss.v7i1.12256

Abstract

Integrative medicine, yang menggabungkan pendekatan konvensional dengan pengobatan komplementer dan alternatif, semakin diterima sebagai metode pengobatan holistik dalam perawatan kesehatan primer, khususnya untuk ibu dan anak. Tumbuhan kehutanan, dengan keanekaragaman bioaktifnya, telah menarik perhatian sebagai sumber potensial untuk dukungan kesehatan dalam konteks ini. Tinjauan literatur ini bertujuan untuk menyelidiki peran tumbuhan kehutanan dalam integrative medicine untuk perawatan kesehatan primer ibu dan anak. Pencarian literatur dilakukan melalui basis data ilmiah terkemuka, dengan fokus pada studi klinis, tinjauan sistematis, dan meta-analisis yang relevan. Analisis ini menyoroti bahwa sejumlah tumbuhan kehutanan telah menunjukkan potensi sebagai agen terapeutik dalam mengelola kondisi kesehatan spesifik pada ibu dan anak. Beberapa mekanisme aksi yang diidentifikasi termasuk aktivitas antiinflamasi, antioksidan, serta efek imunomodulator yang dapat mendukung sistem kekebalan tubuh yang berkembang. Namun demikian, tantangan yang dihadapi meliputi standarisasi bahan baku, formulasi yang konsisten, serta keamanan dan efikasi yang terbukti dalam populasi khusus ini. Penelitian lebih lanjut diperlukan untuk mengisi celah pengetahuan ini dan mengevaluasi potensi penerapan klinis lebih lanjut dari tumbuhan kehutanan dalam pengaturan perawatan kesehatan primer. Dalam konteks integrative medicine, integrasi yang selektif dari bukti ilmiah dengan praktik klinis yang berbasis bukti akan menjadi kunci untuk memastikan bahwa tumbuhan kehutanan dapat memberikan manfaat tambahan yang aman dan efektif bagi ibu dan anak dalam perawatan kesehatan primer.
THE USE OF LOCAL HERBAL IN ALTERNATIVE AND COMPLEMENTARY THERAPIES AS MIDWIFERY CARE SYNERGISTIC THERAPY IN SASAK ETHNIC Triandini, I Gusti Agung Ayu Hari; Hairani, Hairani
Jurnal Silva Samalas Vol. 7 No. 2 (2024): Desember 2024
Publisher : Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jss.v7i2.14226

Abstract

Traditional healers are still the main choice of the Sasak tribe to assist with childbirth. The city of Mataram ranks second lowest in terms of the percentage of births assisted by health workers and the third lowest in the West Nusa Tenggara region in terms of the percentage of births in health service facilities because of holistic service experience, culture, education, and outreach to health facilities factors. Traditional health services have been proven for a long time and are used by the community in preventive, promotive, curative, and rehabilitative efforts. This is very useful, especially in areas where access to health services is limited. The term "integrative medicine" in synergistic therapy is used to refer to the combination of conventional and alternative medicine practices that meet the requirements of scientific evidence, safety, and effectiveness. A descriptive, cross-sectional, quantitative method was used to assess 30 traditional healers in the Mataram city area. The complementary therapies in midwifery care help to reduce symptoms such as nausea vomiting and lower back pain, prepare for labor and increase the chances of an uncomplicated birth, increase milk production or reduce pain in perineum wounds, and also to accelerate the recovery of postpartum maternal health conditions using traditional herbal therapy such as pilis, parem, tapel, serbat, boreh. It has many benefits and needs to be introduced to midwives to be more optimal in providing holistic midwifery services.
Efektivitas Manajemen Pelayanan Sosial dalam Penanganan Lansia Terlantar di Kota Medan Arifah Ulayya; Rangga Wijaya; Rio Riswanto Simanjuntak; Ezra Azzahra; Aleeka Jasmine; Hairani Hairani
JURNAL RISET RUMPUN ILMU PENDIDIKAN Vol. 4 No. 2 (2025): Agustus : JURRIPEN : Jurnal Riset Rumpun Ilmu Pendidikan
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurripen.v4i2.5608

Abstract

This study aims to analyze the effectiveness of social service management in handling neglected elderly in Medan City. The phenomenon of neglected elderly has become a complex social problem along with the increasing number of elderly population and changes in family structure in urban areas. Medan City as the third largest metropolitan city in Indonesia faces challenges in providing optimal social services for neglected elderly. This study uses a qualitative research method with a library research approach. Data collection was carried out through a literature review of various relevant library sources, including scientific journals, books, research reports, policy documents, and official publications of related agencies. Data analysis used content analysis techniques to identify patterns and themes related to the effectiveness of social service management for neglected elderly. The results of the study indicate that social service management in Medan City has not been fully effective in handling neglected elderly. In terms of planning, there are still limitations in mapping and recording neglected elderly data. In terms of organization, coordination between agencies is still weak. Program implementation faces constraints of budget and human resource limitations. The monitoring and evaluation system has not been running optimally. Supporting factors include local government commitment, availability of regulations, and community participation. While inhibiting factors include budget constraints, lack of professional staff, and minimal cross-sector coordination. This study recommends the need to strengthen the social service management system through increasing human resource capacity, optimizing the budget, and strengthening cross-sector coordination to improve the effectiveness of handling the elderly in Medan City.
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 Aleeka Jasmine Amelia, Bengi Amin, Farda Milanda Andi Sofyan Anas Andi, Moh syaiful Andini, Nisha Anggarawan, Anthony Anthony Anggrawan Arfa, Muhammad Arifah Ulayya Ashadi, Diki Astuti, Ni Luh Budi Ayu Dasriani, Ni Gusti Candra, M. Ade Christine Eirene Christopher Michael Lauw Christopher Michael Lauw Dadang Priyanto Dedi Aprianto Dedy Febry Rachman Dedy Febry Rahman Deny Jollyta Dian Syafitri Diana Hidayati Diana Hidayati Didik Dwi Prasetya Diki Ashadi Dirgantara, Bhintang Donny Kurniawan Dyah Susilowati Dyah Susilowaty ED. Yunisa Mega Pasha ED. Yunisa Mega Pasha Eka Setiawan, Rian Putra Ezra Azzahra 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 I Gusti Agung Ayu Hari Triandini I Nyoman Switrayana Ida Putu Andika Ifnaldi Ifnaldi Iis Sopiah Suryani 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 Mamay Maulana Mamay Maulana Mardedi, Lalu Zazuli Azhar Mardedi, Lalu Zazuli Azhar Mayadi Mayadi Mayadi Mayadi Mayadi, Mayadi Mayasari, Astri Melati Rosanensi Mia Nisrina Anbar Fatin Michael Lauw, Christopher Miftahul Madani Muhamad Azwar Muhamad Azwar, Muhamad Muhamad Reza Pahlevi Muhamad Reza Pahlevi Muhammad Arfa Muhammad Fahmi 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 Novitasari Tsamrotul Fuadah Nur Intan Hayati Nur Intan Hayati 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 Rangga Wijaya Rifqi Hammad Rio Riswanto Simanjuntak 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 Soni Muhsinin Sri Farida Utami Sri Winarni Sofya Sri Winarni Sofya Sudi Prayitno Sukron, Moh Sutarman Sutarman Syahrir, Moch. tadianta m., Winardi aries Teguh Bharata Adji Tri Nur Jayanti Tri Nur Jayanti Triwijoyo, Bambang Krismono Triyanna Widiyaningtyas Umi Hanifah Utomo, Rokhim Vidiasari, Herlita Vidiasari, Viviana Herlita Vina Vitniawati Wahyuningsih, Rr. Sri Handari Wangiyana, I Gde Adi Suryawan Wening Asih Sutrisno Wening Asih Sutrisno Widhya Aligita Widhya Aligita Widiatmoko, Dekki Wira Hendri Wiyanto, Suko Ximenes Guterres, Juvinal Yuri Ariyanto Zilullah Nazir Hadi