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All Journal Jurnal Akuakultur Indonesia Torani Journal of Fisheries and Marine Science Jurnal Perikanan dan Kelautan Jurnal Harpodon Borneo GRADIEN OCTOPUS : Jurnal Ilmu Perikanan Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Akuatika Indonesia Science and Technology Indonesia Raheema JFMR (Journal of Fisheries and Marine Research) Chemistry Indonesian Journal of Chemical Research Sains Akuakultur Tropis : Indonesian Journal of Tropical Aquaculture Jurnal Teknologi dan Informasi INSIST (International Series on Interdisciplinary Research) Asian Journal of Agriculture Jurnal Teknologi Informasi : Jurnal Keilmuan dan Aplikasi Bidang Teknik Informatika PAPALELE : Jurnal Penelitian Sosial Ekonomi Perikanan dan Kelautan Jurnal Abdi Insani Jurnal Pari Journal of Coastal and Ocean Sciences Jurnal Media Akuakultur Indonesia Jurnal Kajian Pendidikan IPA Jurnal Kolaboratif Sains Journal of Fish Health Jurnal Pepadu Journal of Fish Nutrition Jurnal Ruaya : Jurnal Penelitian dan Kajian Ilmu Perikanan dan Kelautan Depik Jurnal Ilmu-Ilmu Perairan, Pesisir dan Perikanan Aceh Journal of Animal Science International Journal of Multidisciplinary Research of Higher Education (IJMURHICA) Farmers: Journal of Community Services Jurnal Pelita Sriwijaya Depik Jurnal Ilmu-Ilmu Perairan, Pesisir, dan Perikanan Jurnal Perikanan dan Kelautan Jurnal Perikanan JARI : Jurnal Akuakultur Rawa Indonesia
Yuli Andriani
Universitas Pendidikan Indonesia
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Model Tingkat Kelancaran Pembayaran Kredit Bank Menggunakan Model Regresi Logistik Ordinal (Studi Kasus: Bank Rakyat Indonesia Tbk Unit Pasar Bintuhan) Andriani, Yuli
GRADIEN : Jurnal Ilmiah MIPA Vol 8, No 2 (2012): (Juli 2012)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (437.694 KB)

Abstract

Untuk mengantisipasi penyelesaian kredit macet pada PT. Bank Rakyat Indonesia (BRI) Tbk unit Pasar Bintuhan perlu dicari faktor-faktor yang dijadikan indikator untuk analisis kelayakan pemberian kredit menggunakan model Regresi Logistik Ordinal. Model penduga tingkat kelancaran pembayaran kredit modal usaha yaitu: Lj (x) = konst_j - 2,695* [kelamin=1] -0,060 *Umur -0,789*Jml_tanggungan + 5,340E-7*Pinjaman -7,484E-8*Agunan; dimana tingkat kelancaran lancar Konst_j nya adalah 0,902, sedangkan untuk tingkat kelancaran dalam pengawasan khusus Konst_j nya adalah 6,614. Peluang seorang debitur tersebut untuk masuk kategori lancar adalah 0,6013276, kategori dalam pengawasan khusus adalah sebesar 0,396486, dan kategori macet adalah sebesar 0,002186. Maka dapat disimpulkan bahwa pinjaman seorang debitur tersebut berpeluang besar untuk menjadi kategori lancar.
Kelimpahan Bakteri Coliform Pada Air Laut, Sedimen dan Foraminifera Jenis Calcarina Di Ekosistem Terumbu Karang Pulau Pramuka, Kepulauan Seribu, DKI Jakarta Yuliadi, Lintang Permatasari; Askar, Agus Tri; Agung, Mochamad Untung Kurnia; Andriani, Yuli
Jurnal Akuatika Indonesia Vol 3, No 1 (2018): Jurnal Akuatika Indonesia (JAkI)
Publisher : Fakultas Perikanan dan Ilmu Kelautan, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (27.83 KB)

Abstract

Bakteri coliform sudah lama dikenal sebagai bioindikator cemaran bahan organik di suatu perairan. Perairan laut merupakan muara bagi semua jenis limbah baik organik maupun anorganik yang berasal dari daratan. Foraminifera yang merupakan diatom bentik yang khas ditemukan di ekosistem terumbu karang juga dapat terkontaminasi bakteri coliform pada perairan yang mengalami kondisi pencemaran bahan organik. Penelitian ini bertujuan untuk mengetahui nilai kelimpahan bakteri coliform pada air laut, sedimen dan foraminifera jenis calcarina. Penelitian ini dilaksanakan dari bulan Maret sampai Agustus 2017 di Laboratorium Mikrobiologi dan Bioteknologi Molekuler (MICROMOL) Fakultas Perikanan dan Ilmu Kelautan (FPIK) Universitas Padjadjaran. Metode yang digunakan pada penelitian ini adalah metode Most Probable Number (MPN) yang dibandingkan dengan standar baku mutu Kep-51/MENKLH/2004. Hasil penelitian menunjukkan bahwa kelimpahan bakteri coliform pada air laut yaitu 9->1100 MPN/100 mL, pada sedimen sebesar 7-803,33 MPN/100 g dan yang ditemukan pada foraminifera jenis calcarina berkisar <3-16 MPN/100 g. Nilai bakteri coliform yang didapat pada sampel sedimen dan foraminifera masih dibawah ambang batas baku mutu Kementrian Lingkugan Hidup Nomor 51 tahun 2004. Namun, Pada sampel air laut hanya stasiun 1 dan stasiun 2 sudah melebihi batas ambang baku mutu yaitu 1100 MPN/100 ml.
Analisis Jaringan Syaraf Tiruan untuk prediksi volume ekspor dan impor migas di Indonesia Andriani, Yuli; Silitonga, Hotmalina; Wanto, Anjar
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 4, No 1 (2018): January-June
Publisher : Prodi Sistem Informasi - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1572.598 KB) | DOI: 10.26594/register.v4i1.1157

Abstract

Analisis pada penelitian penting dilakukan untuk tujuan mengetahui ketepatan dan keakuratan dari penelitian itu sendiri. Begitu juga dalam prediksi volume ekspor dan impor migas di Indonesia. Dilakukannya penelitian ini untuk mengetahui seberapa besar perkembangan ekspor dan impor Indonesia di bidang migas di masa yang akan datang. Penelitian ini menggunakan Jaringan Syaraf Tiruan (JST) atau Artificial Neural Network (ANN) dengan algoritma Backpropagation. Data penelitian ini bersumber dari dokumen kepabeanan Ditjen Bea dan Cukai yaitu Pemberitahuan Ekspor Barang (PEB) dan Pemberitahuan Impor Barang (PIB). Berdasarkan data ini, variabel yang digunakan ada 7, antara lain: Tahun, ekspor minyak mentah, impor minyak mentah, ekspor hasil minyak, impor hasil minyak, ekspor gas dan impor gas. Ada 5 model arsitektur yang digunakan pada penelitian ini, 12-5-1, 12-7-1, 12-8-1, 12-10-1 dan 12-14-1. Dari ke 5 model yang digunakan, yang terbaik adalah 12-5-1 dengan menghasilkan tingkat akurasi 83%, MSE 0,0281641257 dengan tingkat error yang digunakan 0,001-0,05. Sehingga model ini bagus untuk memprediksi volume ekspor dan impor migas di Indonesia, karena akurasianya antara 80% hingga 90%.   Analysis of the research is Imporant used to know precision and accuracy of the research itself. It is also in the prediction of Volume Exports and Impors of Oil and Gas in Indonesia. This research is conducted to find out how much the development of Indonesias exports and Impors in the field of oil and gas in the future. This research used Artificial Neural Network with Backpropagation algorithm. The data of this research have as a source from custom documents of the Directorate General of Customs and Excise (Declaration Form/PEB and Impor Export Declaration/PIB). Based on this data, there are 7 variables used, among others: Year, Crude oil exports, Crude oil Impors, Exports of oil products, Impored oil products, Gas exports and Gas Impors. There are 5 architectural models used in this study, 12-5-1, 12-7-1, 12-8-1, 12-10-1 and 12-14-1. Of the 5 models has used, the best models is 12-5-1 with an accuracy 83%, MSE 0.0281641257 with error rate 0.001-0.05. So this model is good to predict the Volume of Exports and Impors of Oil and Gas in Indonesia, because its accuracy between 80% to 90%.
Kelimpahan Bakteri Coliform Pada Air Laut, Sedimen dan Foraminifera Jenis Calcarina Di Ekosistem Terumbu Karang Pulau Pramuka, Kepulauan Seribu, DKI Jakarta Askar, Agus Tri; Agung, Mochamad Untung Kurnia; Andriani, Yuli; Yuliadi, Lintang Permatasari
Jurnal Akuatika Indonesia Vol 3, No 1 (2018): Jurnal Akuatika Indonesia (JAkI)
Publisher : Direktorat Sumber Daya Akademik dan Perpustakaan Universitas Padjadjaran, Grha. Kandaga (P

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (27.83 KB) | DOI: 10.24198/jaki.v3i1.17994

Abstract

Bakteri coliform sudah lama dikenal sebagai bioindikator cemaran bahan organik di suatu perairan. Perairan laut merupakan muara bagi semua jenis limbah baik organik maupun anorganik yang berasal dari daratan. Foraminifera yang merupakan diatom bentik yang khas ditemukan di ekosistem terumbu karang juga dapat terkontaminasi bakteri coliform pada perairan yang mengalami kondisi pencemaran bahan organik. Penelitian ini bertujuan untuk mengetahui nilai kelimpahan bakteri coliform pada air laut, sedimen dan foraminifera jenis calcarina. Penelitian ini dilaksanakan dari bulan Maret sampai Agustus 2017 di Laboratorium Mikrobiologi dan Bioteknologi Molekuler (MICROMOL) Fakultas Perikanan dan Ilmu Kelautan (FPIK) Universitas Padjadjaran. Metode yang digunakan pada penelitian ini adalah metode Most Probable Number (MPN) yang dibandingkan dengan standar baku mutu Kep-51/MENKLH/2004. Hasil penelitian menunjukkan bahwa kelimpahan bakteri coliform pada air laut yaitu 9->1100 MPN/100 mL, pada sedimen sebesar 7-803,33 MPN/100 g dan yang ditemukan pada foraminifera jenis calcarina berkisar <3-16 MPN/100 g. Nilai bakteri coliform yang didapat pada sampel sedimen dan foraminifera masih dibawah ambang batas baku mutu Kementrian Lingkugan Hidup Nomor 51 tahun 2004. Namun, Pada sampel air laut hanya stasiun 1 dan stasiun 2 sudah melebihi batas ambang baku mutu yaitu 1100 MPN/100 ml.
Fecundity performance of nilem (Osteochilus vittatus) from Cianjur, Tasikmalaya and Kuningan Districts, West Java, Indonesia ROSTIKA, RITA; ANDRIANI, YULI; JUNIANTO, JUNIANTO
Asian Journal of Agriculture Vol 1 No 01 (2017)
Publisher : Society for Indonesian Biodiversity & Universitas Mulawarman, Samarinda, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/asianjagric/g010104

Abstract

Rostika R, Andriani Y, Junianto. 2017. Fecundity performance of nilem (Osteochilus vittatus) from Cianjur, Tasikmalaya and&nbsp;Kuningan Districts, West Java, Indonesia. Asian J Agric 1: 17-21. The aim of this study was to know the reproduction aspects of nilem&nbsp;(Osteochilus vittatus Valenciennes, 1842; syn. Osteochilus hasseltii Valenciennes, 1842). The study was conducted from October 2015&nbsp;to March 2016 that includes elements of body length, weight, gonad maturity level (GML) and fecundity. There were 27 samples&nbsp;collected from farming activities in Cianjur, Tasikmalaya and Kuningan West Java, Indonesia. The parameters observed were the&nbsp;correlation between weight and fecundity, correlation between body length and fecundity and GML. The method used was explorative&nbsp;approach and the data were analyzed by descriptive approach. The results showed that the correlation between weight and fecundity in&nbsp;Cianjur District was y= e0,024x, while the body length and fecundity was y=e0,413x. In Tasikmalaya District was y= e0,0728x, while the body&nbsp;length and fecundity was y=e0,4903x. In Kuningan District was y= e0,2902x, while the correlation between the length of the fish and&nbsp;fecundity was y=e0,6859x. The dominant gonad maturity level of Nilem in Cianjur was GML IV (50%), Tasikmalaya was GMLVI&nbsp;(100%), and Kuningan was GML V (55,56%) respectively. The relationship between length and body weight of Osteochillus vittatus&nbsp;from Cianjur, Tasikmalaya and Kuningan District were W=0,03L2,95, W = 0.04L2.89 and W = 0.04L2.79 respectively. The implication of&nbsp;this research is to know the proper size of nilem fish that can be harvested in conditions of optimum egg volume.
Sustainable aquaculture development in floating nets at Cirata reservoir (West Java, Indonesia) through single-sex nilem fish introduction YUSTIATI, AYI; ANDRIANI, YULI; HERAWATI, TITIN
Asian Journal of Agriculture Vol 1 No 01 (2017)
Publisher : Society for Indonesian Biodiversity & Universitas Mulawarman, Samarinda, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13057/asianjagric/g010106

Abstract

Yustiati A, Andriani Y, Herawati T. 2017. Sustainable aquaculture development in floating nets at Cirata reservoir (West&nbsp;Java, Indonesia) through single-sex nilem fish introduction. Asian J Agric 1: 29-34. This research aims to develop a sustainable&nbsp;aquaculture system using single-sex nilem fish in trophic level-based farming and to analyze the feeding habits, types of meal and&nbsp;preference level of the feed in nilem farmed in Cirata Reservoir. In addition, it also aims to determine the fish's ability as a biocontrol&nbsp;agent for water cleaning by measuring the ability to utilize periphyton attached to the floating nets. Research conducted at the&nbsp;Laboratory of Ciparanje, Faculty of Fisheries and Marine Sciences, Universitas Padjadjaran and floating nets of Cirata reservoir.&nbsp;Observation of the performance of biological testing and food feeding applies the experimental design method of Completely&nbsp;Randomized Design (CRD) consisting 5 treatments and 3 replications. The five treatments include non-artificial feeding (treatment A),&nbsp;1% feeding of body weight per day (treatment B), 2% feeding of body weight per day (treatment C), 3% of feeding of body weight per&nbsp;day (treatment D), and 4% feeding of body weight per day (treatment E). The results showed there was no difference in the survival and&nbsp;growth levels of the female single-sex fish given both commercial and non-commercial feed. The highest feed efficiency was observed&nbsp;in the 3% of commercial feeding treatment, amounting to 55.30%. The fish are herbivorous and generalist with trophic levels between&nbsp;1.03% and 1.45% eating planktons for living. Fish fed with artificial food to 4% of the biomass still graze on phytoplankton as the main&nbsp;source of food, but adapt by changing the natural feeding and tend to be ineffective in utilizing the available food resources in the&nbsp;waters. During the study, the types and amount of periphyton attached to the nets have decreased. Higher commercial feeding level&nbsp;results in the higher density of periphyton in the floating nets.
Analisis Jaringan Syaraf Tiruan untuk prediksi volume ekspor dan impor migas di Indonesia Andriani, Yuli; Silitonga, Hotmalina; Wanto, Anjar
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 4, No 1 (2018): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v4i1.1157

Abstract

Analisis pada penelitian penting dilakukan untuk tujuan mengetahui ketepatan dan keakuratan dari penelitian itu sendiri. Begitu juga dalam prediksi volume ekspor dan impor migas di Indonesia. Dilakukannya penelitian ini untuk mengetahui seberapa besar perkembangan ekspor dan impor Indonesia di bidang migas di masa yang akan datang. Penelitian ini menggunakan Jaringan Syaraf Tiruan (JST) atau Artificial Neural Network (ANN) dengan algoritma Backpropagation. Data penelitian ini bersumber dari dokumen kepabeanan Ditjen Bea dan Cukai yaitu Pemberitahuan Ekspor Barang (PEB) dan Pemberitahuan Impor Barang (PIB). Berdasarkan data ini, variabel yang digunakan ada 7, antara lain: Tahun, ekspor minyak mentah, impor minyak mentah, ekspor hasil minyak, impor hasil minyak, ekspor gas dan impor gas. Ada 5 model arsitektur yang digunakan pada penelitian ini, 12-5-1, 12-7-1, 12-8-1, 12-10-1 dan 12-14-1. Dari ke 5 model yang digunakan, yang terbaik adalah 12-5-1 dengan menghasilkan tingkat akurasi 83%, MSE 0,0281641257 dengan tingkat error yang digunakan 0,001-0,05. Sehingga model ini bagus untuk memprediksi volume ekspor dan impor migas di Indonesia, karena akurasianya antara 80% hingga 90%.   Analysis of the research is Imporant used to know precision and accuracy of the research itself. It is also in the prediction of Volume Exports and Impors of Oil and Gas in Indonesia. This research is conducted to find out how much the development of Indonesia's exports and Impors in the field of oil and gas in the future. This research used Artificial Neural Network with Backpropagation algorithm. The data of this research have as a source from custom documents of the Directorate General of Customs and Excise (Declaration Form/PEB and Impor Export Declaration/PIB). Based on this data, there are 7 variables used, among others: Year, Crude oil exports, Crude oil Impors, Exports of oil products, Impored oil products, Gas exports and Gas Impors. There are 5 architectural models used in this study, 12-5-1, 12-7-1, 12-8-1, 12-10-1 and 12-14-1. Of the 5 models has used, the best models is 12-5-1 with an accuracy 83%, MSE 0.0281641257 with error rate 0.001-0.05. So this model is good to predict the Volume of Exports and Impors of Oil and Gas in Indonesia, because its accuracy between 80% to 90%.
Ornamental Fish Marketing Mix Strategy in Jatinegara Ornamental Fish Market Rasyiq, Arkan Naufal; Suryana, Asep Agus Handaka; Andriani, Yuli; Maulina, Ine
Torani Journal of Fisheries and Marine Science Vol. 7 No. 2 (2024): VOLUME 7, NOMOR 2, JUNE 2024
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35911/torani.v7i2.31869

Abstract

This study aims to determine the characteristics of sellers and analyze the 7P marketing mix strategy applied in the Jatinegara Ornamental Fish Market. The research will be conducted from August 2023 to September 2023 at the Jatinegara Ornamental Fish Market, Jatinegara District, East Jakarta. The research method used is the case study method, with a sampling technique that is purposive sampling. The data analysis used is Descriptive Marketing Mix. The results of research on ornamental fish sellers have male characteristics with the domicile of Jatinegara District, age range 26-40 years with the majority of the last high school education / equivalent. Sellers in this market earn an average income per day of Rp 1,500,000 – Rp 2,000,000 with 4-6 years of sales experience. The results of marketing mix research applied to the Jatinegara Ornamental Fish Market can be seen from the 7P point of view, namely 1) The results of the marketing mix in products include product diversity and types of packaging for transporting ornamental fish, 2) The results of the marketing mix in prices include price variations and causes of price variations, 3) The results of the marketing mix carried out include sales locations that are narrow land and no parking space is available, 4) Physical evidence include product arrangement and product information on display, 5) The results of the marketing mix in people include informative seller attitudes, 6) Promotion includes promotional media, 7) The process includes payment methods and receipts.
A Review on Chicken Feather Flour Potential for Fish Feed Andriani, Yuli; Pratama, Rusky Intan; Hanidah, In In
Torani Journal of Fisheries and Marine Science Vol. 7 No. 2 (2024): VOLUME 7, NOMOR 2, JUNE 2024
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35911/torani.v7i2.34396

Abstract

The escalating demand for chicken meat over the years has led to a corresponding increase in waste generation, particularly chicken feathers. While efforts such as making dusters and cocks have been undertaken to address this issue, they have yielded limited success in effectively managing chicken feather waste. Given the significant levels of nutrients, including protein and amino acids, present in this waste, it holds immense potential as a raw material for fish feed. However, the utilization of chicken feather waste remains relatively uncommon due to the challenging digestibility of its large crude protein structure, primarily composed of keratin protein. Thus, preprocessing is essential to degrade the keratin within chicken feathers, rendering it digestible for fish. This review aims to provide an overview of the potential utilization of chicken feather meal in aquaculture, particularly in fish feed formulations, by exploring its nutritional value and various processing methods to enhance the quality of this raw material.
Analisis Serbuk Biji Kelor (Moringa Oleifera, Lamk) dalam Menurunkan Kadar COD dan BOD pada Air Limbah Jasa Laundry Rustiah, Waode; Andriani, Yuli
Indonesian Journal of Chemical Research Vol 5 No 2 (2018): Edisi Bulan Januri (Edition For January)
Publisher : Jurusan Kimia, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/ijcr.2018.5-wao

Abstract

Water pollution at this time is very apprehensive; especially many laundry businesses are located around the home residents. Waste laundry waste water is a derivative of organic substances. The content of organic substances in waste water laundry services has resulted in high levels of COD and BOD of water, which can cause pollution to the environment and become toxic to life in the water. Therefore it is necessary to do a solution to overcome the contamination, such as by using coagulant seed of Moringa Oleifera, Lamk. The purpose of this study is to determine the effectiveness of Moringa Oleifera, Lamk seed coagulant in lowering the levels of COD and BOD on laundry waste laundry services. Based on the results of the study, it can be concluded that the excellent COD decrease obtained at the weight of 0.7 grams of 250.00 mg / L with an efficiency of 35%, while the BOD measurement, the best weight in lowering BOD levels is 3.6 grams amounted to 11.616 mg / L with a decrease presentation worth 57.66%.
Co-Authors Abram, Arthur Henry Afifah, Luthfiah Al Agung, Mochamad Untung Kurnia Agung, Mochamad Untung Kurnia Agung, Mochamad Untung Kurnia - Aisyah Aisyah Aisyah Alfriani, Ranti Dwi Ali Amran Ali Syahbana Anando, Drian Alif Angga Dwi Cahya Anita Desiani Ansori, Muhammad Rifat Apriana Vinasyiam Arhami, Muhammad Arief, Mochamad Candra W. Armadila, Armadila Asep Sahidin Askar, Agus Tri Askar, Agus Tri Atikah Nurhayati Aufa, Indrawan Aulia, Halyda Aulia, Renita Ayi Yustiati Bagus Firmansyah, Bagus Balqis, Rahma Bussalam, Rajib Dafrizal, Dafrizal Darmawan, Mochamad Reza Des Alwine Zayanti, Des Alwine Dewi, Deshinta Arrova Diana Chilmawati Dipatiguna, Siti Nisrina Ulfah Dwi Cahya, Muhammad Endro Setyo Cahyono, Endro Setyo Faddilah, Thallita Nasywa Fajarwati, Mayapada Filardi, Tara Grandiosa Herman, Roffi Gumay, Nadia Purnamasari Hafel, Aulia Putri Kapsari Handaka, Asep Agus Hariz, Shafwan Hasani, Fiza Jasmine Herman Hamdani Herman, Roffi Grandiosa Heti Herawati Iis Rostini In-In Hanidah Ine Maulina Intan Pratama, Rusky Irsyadi Yani Iskandar Iskandar Isni Nurruhwati Isya, Muhammad Filah Iwang Gumilar Juliwis Kardi JUNIANTO JUNIANTO Juwita, Indah Permata Kiki Haetami Kosasih, Henry Putra Kusumoputra, Rahmadi Lestari, Mega Cahaya Dwi Lestari, Vira Maharani, Annisa Nur Maharani, Zahra Egidita Marchelin, Shefia Maria Agustin Mastanora, Refika Maudy, Gitri Meyllianawaty Pratiwy, Fittrie Meyllianawaty, Fittrie Mia Miranti Rustama Millatina, Nabilah Sani Mortara, Alda Amalia Muhamad Fatah Wiyatna Mumtaz, Amalia Nabila, Tiara Nurul Ning Eliyati Nofatari, Muhammad Filah Isya Nofatari, Nofatari Nugraha, Zidan Fachriza Adya Nugroho, Agung Meidito Nur Fauzy, Fahmy Nurinsani, Rizka Amalia Permatasari, Mitta Prameswari, Rhiana Prananda, Muhammad Rizky Prananda, Rizky Prasadi, Marsel Pratama, Rusky I Pratiwi, Ananda Pratiwy, Fittrie Meyllianawaty Putra, Vito Dwisetia Putri, Ismi Nabila Rasyid, Raffael Muhammad Sabili Rasyiq, Arkan Naufal Ratih, Ai Resnawati Rihadatul Nabila, Shela Rita Rostika Rizki, Fatur Roffi Grandiosa Rusky I. Pratama Rusky Intan Pratama Rustiah, Wa Ode Salsabila, Putri Nadya Saputra, Arya Bayu Ega Setyo Wati, Desy Shobihah, Hasna Nabila Silitonga, Hotmalina Silitonga, Hotmalina Subhan , Ujang Sukmaya, Nabila Tia Supani, Ahyar Surahman, Mohammad Badai Putra Suripto, Auliya Taufanputri, Melati Titin Herawati tri wahyuni Tubagus Aldi Lazuardi Ujang Subhan Victoria, Stephanie Marcelia Wanto, Anjar Wiyatna, Muhammad Fatah Wulandari, Deswita Khansa Yayat Dhahiyat Yulia Resti Yuliadi, Lintang Permatasari Yuliadi, Lintang Permatasari Yuliadi, Lintang Permatasari Yuliana Farahita Zaelani, Akbar Zahidah - Zahidah Zahidah, Zahidah Zahidah, , Zidni, Irfan