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Implikasi Citra Kandidat Terhadap Perilaku Golput (Turnout) di Moderatori Oleh Kepercayaan Pada Pemilih Muda Kota Samarinda Syahrin, M Najeri Al; Astuti, Tri
Jurnal Noken: Ilmu-Ilmu Sosial Vol. 9 No. 1 (2023): Desember 2023
Publisher : Universitas Muhammadiyah Sorong

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33506/jn.v9i1.3086

Abstract

The characteristics of young voters are critical, independent, independent, anti-status quo, and pro-change as a new force in democracy, but many do not use their voting rights properly. An important factor why young voters do not choose candidates in elections (abstention) is due to aspects of the candidate's trust and image that do not meet the qualifications and expectations. This research seeks to determine the role of candidate image in elections which can influence the abstention behavior (turnout) of young voters with trust as the main moderator variable. The approach used in this research is quantitative with a research sample of 135 young voters in Samarinda. Data analysis uses multiple regression analysis using the Statistical Product and Service Solutions (SPSS) program. This research obtained results after a regression analysis was carried out from the results of multiplying the candidate's image and trust which was marked with the product symbol. The result is that the product is not able to predict abstention behavior well. It can be concluded that the candidate's image and trust can predict high abstention behavior. However, trust was not proven to be a moderator of the relationship between candidate image and abstention behavior. Trust cannot be a moderator variable for certain reasons, namely because trust can be independent of the influence of the candidate's image. Subjects were more likely to differentiate between candidate image and trustworthiness and the two were not connected.
Product Review Sentiment Analysis by Artificial Neural Network Algorithm Astuti, Tri; Pratika, Irnawati
International Journal of Informatics and Information Systems Vol 2, No 2: September 2019
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v2i2.15

Abstract

Buying and selling and marketing goods and services are now done online. The online store provides facilities that enable its customers to provide review related products offered. The number of reviews received by the store, online sometimes does not allow the store online to analyze one by one. Thus, it takes the help of machines to assist in the analysis of such sentiments. Analysis of the sentiments of the review the product is done to help the shop get a general overview related to the level of consumer satisfaction. In this study, the ANN algorithm will be used to analyze sentiment for review. A product ANN algorithm used because it can provide high accuracy performance. This research resulted in a reasonably high accuracy performance is 88.2%.
Effect of Selection of Classification Features C4.5 Algorithm in Student Alcohol Consumption Dataset Astuti, Tri; Handoko, Pungky Dwi Putra
International Journal of Informatics and Information Systems Vol 1, No 1: September 2018
Publisher : International Journal of Informatics and Information Systems

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/ijiis.v1i1.20

Abstract

Alcoholic beverages are psychoactive substances that are addictive. Psychoactive substances are a class of substances that work selectively, especially in the brain, which can cause changes in behavior, emotion, cognition, perception and awareness of one's and others. Police survey results in 2014 showed that users of narcotics and liquor. Most of the group of students, both junior, and senior student, which amounts to 70%, while only 20% of primary school graduates. In the modern era, especially in information technology, the need for information and the latest knowledge is multiplying. One of them is the user information of alcohol among teenagers is more accurate. Data mining is the process for extracting and identifying information useful and relevant knowledge from a variety of big data. In the data mining, there is a classification technique that assesses the data objects to include it in a particular class of several classes available, can be applied in the case - the case in the health sector, for example, in the case of alcohol addiction in adolescents. The algorithm that can be used in the classification is the C4.5 decision tree. The use of the decision tree algorithm to determine the level of alcohol use in teenagers using two methods, namely, the selection of attributes and without attributes.
Booster Organik Tanaman Padi sebagai Program Ketahanan Pangan Kelompok Tani Margo Raharjo Desa Jatiluhur Kecamatan Karanganyar Kabupaten Kebumen Fadjeri, Akhmad; Muflih, Ghufron Zaida; Sangadah, Siti; Suyatiningsih, Suyatiningsih; Astuti, Tri
Abdibaraya Vol 2 No 01 (2023): Abdibaraya: Jurnal Pengabdian Masyarakat
Publisher : Universitas Ma'arif Nahdlatul Ulama Kebumen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53863/abdibaraya.v2i01.680

Abstract

Educating the community by conducting counselling, training and mentoring to farmer groups, as a form of supporting the food security programme in Kebumen district. Together with the Margo Raharjo farmer group in Jatiluhur village, Karanganyar sub-district, making organic boosters for rice plants. Participants involved in the service were members of the Margo Raharjo farmer group, and KKN students from Ma'arif Nahdlatul Ulama University Kebumen. Training and counselling activities are carried out so that farmers are not dependent on inorganic fertilisers while providing education on the importance of using organic materials in agriculture. This activity seeks to help overcome the problems that exist in the community, especially in the knowledge of organic fertiliser for rice plants. The use of organic boosters is not only environmentally friendly but also reduces the cost of purchasing booster products on the market which cost up to 230 thousand rupiah. Inorganic booster products are certainly very expensive and less environmentally friendly. Booster is a liquid organic fertiliser whose nutrients play a role in stimulating the generative growth of flowers and fruits. Increasing farmers' awareness of the dangers of continuous use of inorganic fertilisers encourages farmers to switch to the use of environmentally friendly organic fertilisers.  Organic booster made from fermented pineapple is one of the liquid organic fertilisers applied in the generative phase of plants, namely at the beginning of flowering and fruiting. After the practice of making organic booster, participants are expected to be able to independently or together with the group to follow up and apply the fertiliser to rice plants according to instructions and recommendations. Further testing and research is needed on organic boosters and making organic boosters from different materials and easily obtained in the surrounding environment.  From the results of this activity, the following conclusions were obtained: This activity can improve skills and increase knowledge or insight into the community about organic fertiliser to support increased agricultural productivity, The use of organic booster as one of the solutions to reduce the use of inorganic fertilisers to increase the productivity and quality of products from rice cultivation. Keywords: Organic Fertiliser, Liquid Organic Fertiliser, Vegetable Fungicide, Organic Rice
PENGEMBANGAN MEDIA PEMBELAJARAN GARUKA BERBASIS SMART APPS CREATOR MAPEL IPAS KELAS V SDN SADENG 2 KOTA SEMARANG Utomo, Nur Fadillah Bakti; Astuti, Tri
Jurnal Pendidikan Teknologi Informasi (JUKANTI) Vol 7 No 1 (2024): JURNAL PENDIDIKAN TEKNOLOGI INFORMASI (JUKANTI) EDISI APRIL 2024
Publisher : Program Studi Pendidikan Informatika, Universitas Citra Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37792/jukanti.v7i1.1275

Abstract

ABSTRAK Penelitian ini membahas pengembangan media pembelajaran GARUKA (Galeri Kerusakan Lingkungan) berbasis Smart Apps Creator Mata Pelajaran IPAS Kelas V Fase C Materi Perubahan Bumi yang Disebabkan oleh Manusia. Penelitian ini menggunakan metode R&D (Research and Development), model Borg and Gall. Hasil Pengembangan Media Pembelajaran Galeri Kerusakan Lingkungan Mata Pelajaran IPAS Kelas V Fase C Materi Perubahan Bumi yang Disebabkan oleh Manusia menunjukkan bahwa media GARUKA layak berdasarkan validasi ahli media sebesar 95% dan validasi ahli materi sebesar 92,5% , Galeri Kerusakan Lingkungan juga praktis ketika digunakan hal ini dibuktikan dari respon yang diberikan peserta didik sebesar 91,2% dan mendapatkan persentase N-gain sebesar 68,8% yang berarti media Galeri Kerusakan Lingkungan cukup efektif. Media Pembelajaran GARUKA (Galeri Kerusakan Lingkungan) dapat diakses menggunakan komputer maupun smartphone dengan menggunakan Smart Apps Creator berbasis HTML5. ABSTRACT  This research discusses the development of GARUKA (Environmental Damage Gallery) learning media based on Smart Apps Creator, Science Class V Phase C Lesson Content, Material on Earth Changes Caused by Humans. This research uses the R&D (Research and Development) method, the Borg and Gall model. The results of the development of learning media for the Environmental Damage Gallery. Social Science Class V Phase C lesson content: Earth Changes Caused by Humans, show that the GARUKA media is feasible based on media expert validation of 95% and material expert validation of 92.5%. The Environmental Damage Gallery is also practical when used. This is proven by the response given by students of 91.2% and getting an N-gain percentage of 68.8%, which means that the Environmental Damage Gallery media is quite effective. GARUKA Learning Media (Environmental Damage Gallery) can be accessed using a computer or smartphone using the HTML5-based Smart Apps Creator.
Diagnosis of Preeclampsia in Pregnant Women Based on K-Nearest Neighbor Algorithm Hidayat, Rifki; Astuti, Tri
Journal of Applied Data Sciences Vol 1, No 2: DECEMBER 2020
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v1i2.53

Abstract

Maternal deaths are divided into two namely direct and indirect deaths. Globally 80% of direct maternal deaths, preeclampsia are included in direct maternal deaths. Preeclampsia conditions of pregnancy with hypertension occur after the 20th week in women who previously had normal blood pressure. Preeclampsia can also be characterized by hypertension (systolic blood pressure ≥ 140 mmHg or diastolic blood pressure ≥ 90 mmHg) accompanied by proteinuria (≥ 300 mg / dl in tamping urine 24 hours). In this study, an analysis of medical records in the Purbalingga and Banyumas areas using 8 attributes, namely age, body weight, blood pressure, edema, multiple pregnancy, history of hypertension, how many children, urine protein, and preeclampsia class. From calculations using the K-NN (K-Nearest Neighbor) algorithm, the Sensitivity performance value of 98.19%, Specificity 100%, and Accuracy 98.33%.
Pekan Siaga Bencana Pada ABK Di SLB Manunggal Slawi Halisa, Halisa; Sari, Dewi Puspita; Priratmaningtyas, Ika Wahyu; Sari, Komala; Afifah, Ismi Nur; Halisa, Nely Nur; Astuti, Tri
Efektor Vol 7 No 2 (2020): Efektor Vol.7 No.2 Tahun 2020
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/e.v7i2.15042

Abstract

Abstract Pekan Siaga Bencana Pada Anak Berkebutuhan Khusus (ABK) is a program to address issues facing children with special needs at SLB Manunggal Slawi. The purpose of this study is to learn the development of special needs knowledge and skills of children through the online disaster alert program by training children with specific needs on disaster alert through zoom and youtube applications; Training children with specific needs to act quickly in self-defense through zoom's applications; Giving special needs to kids on disaster alert via zoom and youtube apps. The method used in this study is a qualitative study method. The data-gathering technique used is participation observations made through zoom teleconferences applications performed by researchers with children with special needs. The study is carried out in August 2020. Through the disaster preparedness week program, the knowledge and skills of ABK about disasters have increased. This program is a sound success and can be used as a model for others in carrying out disaster preparedness education for children with special needs online
Pembuatan Pestisida Nabati Bawang Putih dan Ekstra Daun Jeruk Nipis Pada Kelompok Tani Rajawali Kelurahan Karot Kabupaten Manggarai Dimat, Nonilia Vendra; Imung, Sisilia; Meleng, Natalia Sensiana; Bahagia, Maria Evlin; Pakur, Dionisius Venan; Liana, Devi; Astuti, Tri
Jurnal Pengabdian Pada Masyarakat Vol 9 No 3 (2024): Jurnal Pengabdian Pada Masyarakat
Publisher : Universitas Mathla'ul Anwar Banten

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30653/jppm.v9i3.861

Abstract

Kelompok Tani Rajawali memiliki potensi berupa lahan yang luas untuk budidaya tanaman hortikultura. Selama ini petani kebanyakan menggunakan pestisida kimia untuk mengatasi serangan hama dan penyakit. Penggunaan pestisida kimia secara terus-menerus meyebabkan pencemaran lingkungan. Salah satu solusi untuk mengatasi masalah tersebut dengan menggunakan bahan kimia yang berasal dari tanaman. Pestisida nabati merupakan pestisida yang terbuat dari bahan tanaman itu sendiri atau senyawa alami sebagai bahan dasar dalam pembuatannya. Metode pengabdian dilakukan melalui sosialisasi tentang pembuatan pestisida nabati dari ekstrak bawang putih dan daun jeruk nipis. Hasil kegiatan Sosialisasi pembuatan pestisida nabati membangkitkan ketertarikan beberapa petani untuk meningkatkan keterampilan dalam membuat pestisida nabati. Hasil ini menunjukkan Kelompok Tani Rajawali dapat menerapkan pestisida nabati dari bawang putih dan daun jeruk nipis pada tanaman yang dibudidayakan untuk mengatasi serangan organisme penggangu tanaman (OPT). The Rajawali Farming Group has the potential in the form of large areas of land for cultivating horticultural crops. So far, farmers have mostly used chemical pesticides to deal with pest and disease attacks. Continuous use of chemical pesticides causes environmental pollution. One solution to overcome this problem is to use chemicals derived from plants. Botanical pesticides are pesticides made from plant materials themselves or natural compounds as the basic ingredients in their manufacture. The service method is carried out through socialization about making vegetable pesticides from garlic and lime leaf extracts. The results of the socialization activity on making plant-based pesticides aroused the interest of several farmers in improving their skills in making plant-based pesticides. These results show that the Rajawali Farmers Group can apply botanical pesticides from garlic and lime leaves to cultivated plants to overcome attacks by plant pests (OPT).
Differences in Organizational Behavior amongst Startup and Established Company: A Literature Review Astuti, Tri; Helmi, Avin Fadilla; Riyono, Bagus
Buletin Psikologi Vol 31, No 2 (2023)
Publisher : Faculty of Psychology Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/buletinpsikologi.82949

Abstract

Two business models differ significantly between an established company and a startup in the industrial world. There are notable distinctions between the two business models in several areas that, upon closer examination, can offer entrepreneurs, practitioners, researchers, and the government guidance in devising the most appropriate business model approach. The subsequent goal of this research is to conduct a more thorough analysis of the organizational behavior variations between startups and larger businesses. Because numerous research sources have been completed but have yet to be more thoroughly consolidated, this study uses a literature review approach to address the research issues posed. This approach is also capable of identifying variations from the given context. According to the study, established businesses and startups differ in three ways. The study's findings, to be more precise, revealed variations in the two business models' definitions and life cycles. Second, the social relations system and structure derived from these two company models differ. Finally, these two categories of businesses must deal with varying degrees of uncertainty in the workplace. This research suggests that by examining the distinctions between large and small companies which are just starting, business actors can benefit from this research and use it as a guide to improve organizational performance.
PENEGAKAN HUKUM TERHADAP TINDAK PIDANA PEREDARAN OBAT TANPA IZIN EDAR : (Studi Putusan Nomor 1/Pid.Sus/2023/Pn.Pre) Astuti, Tri; Purwanda, Sunardi; Prasisto, Johamran; Prayudi, Prayudi
Jurnal Hukum Positum Vol. 9 No. 1 (2024): Jurnal Hukum Positum
Publisher : Prodi Magister Ilmu Hukum Fakultas Hukum Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/positum.v9i1.11132

Abstract

This research aims to find out the legal arrangements related to the unlicensed drug trade, which is reviewed from Law Number 36 of 2009 concerning Health or called the Health Law. In addition, this research also finds out about law enforcement related to the criminal act of unlicensed drug distribution in case verdict Nomor: 1/Pid.Sus/2023/Pn.Pre. The type of research used is normative research combined with empirical research. This research uses a statutory approach related to legal norms or substance, legal principles, legal theories, legal arguments combined with research that directly observes events that occur in the field. The results showed that legal arrangements related to the unlicensed drug trade are regulated in Articles 196, 197 and 198 of the Health Law. The form of law enforcement carried out regarding the distribution of unlicensed drugs in the case of the decision is repressive, which finds the application of sanctions for violators. These sanctions also provide a deterrent effect so that similar violations do not occur again in the future and ensure that justice is upheld.
Co-Authors ., Abdiansyah Abid, Syaiful Adi, Defiyanto Djami Afifah, Ismi Nur Afkawati, Salfaniar Hyda Agus Yuwono Agustina, Iis Ainun Nisa Mufi Dayanti, Aulli Qzara Akbar, Syahro Ali Akhmad Junaedi Aldi, Ahmad Syaiful Alfa, Dyah Nuhia Ali Akbar, Syahro Amelia, Dwi Amelia, Frieska Heaven Anastasia Anggarkusuma Arofah, Anastasia Anggarkusuma Andi Aco Agus, Andi Aco Andriyani, Rossa Anis, Muh. Anisa Anisa Ariefin, Muhammad Noor Arif Widagdo Arif Widiyatmoko, Arif Arora, Novus Adelia Arsi, Primandani Arya Tama, Galang Asri, Alfian Astrida, Deuis Nur Aswad, Asnawi Asy Syauqi, Faris Asyraf , Muhammad Ati, Aster Pujaning Avin Fadilla Helmi Awaludin Awaludin, Awaludin Ayu, Selby Az zahro, Ilma Aziz, Nur Bagus Riyono Bahagia, Maria Evlin Bambang Subali Basyirun, Fajri Bimawan, Zaynuri Ilham Boediarsih Boediarsih, Boediarsih Bright, Fatimah Nurussyifa Clever Burhanuddin Busyro, Muhammad Cahyana, Hana Chin, Chee Keong Choirunnisa, Jessyca Putri Cotoro Mukri Damanik, Sarintan E. Damanik, Saritan E. Damayanti, Desita Dyah Dani Arifudin Darminto, Dwi Prastowo Dedi Saputra, Firman Deri Saputra, Deri Destin Alfianika Maharani Desvita, Amanda Fitria Devi Liana Dewi Puspita Sari Dewi Rofita Dewi, Rusmana Dimat, Nonilia Vendra Divanggi, Ainida Dwi Lestari, Fitriana Dwi Oktaviana Eka Purwati Eko Handoyo Ellianawati, Ellianawati Esti Widowati, Esti Estika Lusty, Oktiana Evi Susanti Fadhil Muhammad Fadjeri, Akhmad Fadjra, Nurul Fajril, Yustril Farid Farid, Farid Fauziah Fauziah Febrina, Dara Meutia Ayu Fidela, Anindya Fitriyanti Fitriyanti Fredy, Hotman Fujianti, Lailah Ganjar Andaka Gidion, Gidion Halisa, Halisa Halisa, Nely Nur Handayani, Nova Dwi Handayani, Sri Handoko, Pungky Dwi Putra Hanifatunnisa, Maulfi Hardisc, Dian Harpiani, Harpiani Harsono, Hindradjid Hasan, Waode Adriani Hayya, Lidya Nur Hendrian Hendrian, Hendrian Hening Bumi, Ahimsa Sanggya Heriansyah, Kurnia Herika, Herika Herliyansyah, Raynaldi Bintang Hidayati, Nanda Husna Amalya Melati Ika Ratnaningrum Ika Ratnaningrum Imran Syafei Muhammad Nur Imung, Sisilia Indaryati, Fitriah Indra Satria Irafany, Marcella Nadya Irawan, Tedhi Irwan Septayuda Isa Ansori Iszma, Iszma Jahja, Soendoro Jamaludin . Jannah, Ghina Raudhatul Kamilah, Ashha Fithriya Kasyati, Kasyati Kirani, Asshafa Putri Knaofmone, Elfrida Komala sari, Komala Kurniawan, Rony Kurotul Aeni Kusyanto, Fahmi Abdullah Lailatul Qodriyah, Anninsa Liana, Devi Listiowati, Martiana Putri Lubis, Winaria Lukman Hadi, Lukman Luky Adrianto Luluk Setyowati, Luluk M. Afdal M.Pd S.T. S.Pd. I Gde Wawan Sudatha . Mafzianah, Nur Isnaeni Magdalena, Maria Maharani, Elisa Nur Malarsih Mandagie, Yuana Rizky Mandala, Nesha Adelina Manggarani, Cynthia Ayu Manik, Disetra Fiser Marulam MT Simarmata Masnon, Nyanyu Masnon, Nyayu Maula, Ibnu Rizqil Mayangsari, Arum Meleng, Natalia Sensiana Mey, Sioe MTSimarmata, Marulam Muflih, Ghufron Zaida Muhibbin, Muhammad Mujahid, Aep Saprul Mukhtar Yunus Muliani Rahayu, Dina Mulu, Marlinda Munifatul Izzati Munira, Mira Muniroh, Muna Murni, Rizky Anggia Murni, Yetty Nadila, Kania Yosa Nafis, Ahmad Nainggolan, Pinondang Nasri, Primadhani Noening Andrijati Noening Andrijati Noorkhalisha, Alma Putri Nugrahini, Lestari Nugroho, Agung Nuni Widiarti Nur Adiya, Az Zahra Dwi Nur Nisai Muslihah Nur Nisai Muslihah, Nur Nisai Nur Rochmah, Nur Nurachamnia, Meylida Nurdinah Hanifah Nurhaita Nurhaita Nurhazannah, Yunie Nurmala Ahmar Nurrachmania, Meylida Nurwahidah Pakur, Dionisius Venan Panduwiguna, Ivans Pangnguriseng, Utomo Andi Panjaitan, Fany Juliarti Panjaitan, Ingrid Pasaribu, Muldri P.J. Pradipta, Anindhyta Putri Pramana Koesoemadinata, Mohammad Isa Pramono, Sigit Dwi Pranichayudha Rohsulina Prasisto, Johamran Pratama, Alan Pratika, Irnawati Pratiwi, Suryanti Prayudi Prayudi Priratmaningtyas, Ika Wahyu Pungkas Subarkah Purba, Dumaris Priskila Purbaningrum, Aisyah Dias Purnamasari, Desti Putri, Ellena Amelia Putri, Oktaviani Sasabela Putri, Tarissa Destriana Putri, Yasinta Amalia Rafrini Amyulianthy Rahadiyanti, Harini Raharjo, Dimas Yudhistira Rahmatullah Rahmawati, Feti Rahmawati, Rahmawati Rahul, Abdul Rakhmawati, Desty Ramadan Lazuardi, Dian Ramadhani, Nova Laurina Ratno, Shinta Belinda Redjeki, Finny Renovriska, Melia Dwi Rica Mega Sari Ridho, Muhamad Rifai, Zanuar Rifki Hidayat Riksa Belasunda Rithmaya, Chitra Laksmi Rizki Adiputra Taopan Rizki Wahyudi Rizky Mandagie, Yuana Rizky, Shafa Setya Rizqi, Fika Nafissa Nur Miftakhur Rosianingrum, Afifah Rosulina, Pranichayudha Rozalina, Rozalina Rozalina Rusdaya Basri, Rusdaya Samsu, Ridha Aprillah Saputri, Fara Kesyha Cahya Saragih, Jef Rudiyantho Sari Widjaja, Trees Nia Sari, Y. M. Sari, Yesi Paramita Satinem Sekar, Calya Sennang, Indo Shabhira, Helmita Hana Shafira, Deitra Ni`Mah Shine Pintor Siolemba Patiro Sigit Widiyarto Sihombing, Veronika Dinar Romauli Sikki, Nurhaeni Silfanus Jelatu Siregar, Farhan Aldi Siti Anisah Siti Sangadah Soemarie, Yulistia Budianti Soleh, Muh. Sony Zulfikasari, Sony Sri Darmanti Sri Irmandha K Sri Utami Sri Wulandari Subianto, Tegar Subroto, Desty Endrawati Sugihwarni, Popy Suharto, Beri Sunardi Purwanda Suratman Suratman Surtina, Dara Susandra, Susandra Sustianingsih, Ira Miyarni Suyatiningsih, Suyatiningsih Tambunan, Debora Tiurlan Teguh Supriyanto Tioner Purba Titi Andaryani, Eka Titi Prihatin Toyib, Rozali Ukti Lutvaidah Umar, Amri Nurkholis Ummu Harmain, Ummu Utami, Afitri Diah Utomo, Nur Fadillah Bakti Vip Paramarta Wahyu, Yuliana Wahyudi Wahyudi Wicaksono, Aryo Seno Widjaja, Trees Nia Sari Widyasepti, Rebecca Amellya Wijayasir, Urie Elmara Wildan Windi Atmaka, Windi Witanto, Yuli Wulandari, Fani Sri Yahya, Zaini Yamin Putra, Diaz Anaya Muhammad Yinnie, Celine Yuli Witanto Yuliantri, Ayu Zahra, Hayya Fathimah Az Zainal Said Zalikhu, Itoloni