Article Per Year (5 Year)
p-Index From 2021 - 2026
4.827
P-Index
This Author published in this journals
All Journal Jurnal Teknologi Perikanan dan Kelautan ILMU KELAUTAN: Indonesian Journal of Marine Sciences Saintek Perikanan : Indonesian Journal of Fisheries Science and Technology Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Journal of Innovation and Applied Technology Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal POINTER Jurnal Kelautan Tropis Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer JFMR (Journal of Fisheries and Marine Research) Jurnal Penelitian Perikanan Indonesia Bawal : Widya Riset Perikanan Tangkap Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) JAST : Jurnal Aplikasi Sains dan Teknologi J-Dinamika: Jurnal Pengabdian Kepada Masyarakat Journal of Fisheries & Marine Jurnal Penelitian Teknik Sipil Konsolidasi Journal of Aquaculture Science Jurnal Pengabdian Masyarakat Teknologi Informasi dan Informatika
Muh. Arif Rahman
Brawijaya University
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Library & Information Science Materials Science & Nanotechnology Other

Published : 44 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 44 Documents
Search

 1   2   3   4   5 
OPTIMASI FUNGSI MULTI-OBYEKTIF BERKENDALA MENGGUNAKAN ALGORITMA GENETIKA ADAPTIF DENGAN PENGKODEAN REAL Wayan Firdaus Mahmudy; Muh. Arif Rahman
Jurnal Ilmiah Kursor Vol 6 No 1 (2011)
Publisher : Universitas Trunojoyo Madura

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

Abstract

Multi-objective optimization problem is difficult to be solved as its objectives generally conflict with each other and its solution is not in the form of a single solution but a set of solutions. Genetic algorithms (GAs) is one of meta heuristic algorithms that may be used to solve this problem. However, a standard GAs is easily trapped in local optimum areas and searching process rate will be lower around the optimum points. This paper proposes a GAs with an adaptive mutation rate to balance the exploration and exploitation on the search space. A simple rule has been developed to determine wheter the mutation rate is increased or decreased. If a significant improvment of the fitness value is not achieved, the mutation rate is increased to enable the GAs exploring search space and escaping the local optimum area. In contrast, the mutation rate is decreased if significant improvment of the fitness value is achieved. This mechanism guide the GAs to exploit the local search area. The experiments show that by using the adaptive mutation, the GAs will move faster toward a feasible search space and achieving solutions on sorter time.
Estimation Potential Areas of Skipjack Fishing (Katsuwonus pelamis) Based on Oceanographic Parameters in Makassar Strait Debby Aranindy Putri Wangi; Mr Sunardi; Muhammad Arif Rahman
JFMR (Journal of Fisheries and Marine Research) Vol 3, No 1 (2019): JFMR VOL 3 NO.1
Publisher : JFMR (Journal of Fisheries and Marine Research)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2019.003.01.12

Abstract

Determination of regional fisheries based upon the experience of fishing master is one obstacle, because the spread of the fish moving in accordance with the fish habitat, while the fish habitat affected by the condition oceanographic parameters. Therefore, knowing the spread of fish based on oceanographic parameter is one of the indicators in determining potential areas of catching skipjack. Research method using descriptive observatif. The distribution results showed Sea Surface Temperature (SST) with average range between 28.45 °C – 30.93 °C, chlorophyll-a concentration between 0.28 mg/m3 – 0.62 mg/m3, and the speed of current between 0.01 m/s – 0.23 m/s. Correlation between SST, chlorophyll-a, and current towards the skipjack catches no significant relationship and their relationship is very low. Zone of fishing potential based on skipjack habitat obtained is 63 miles of fishing base shaped polygon area there are extents of 63,471,960.455 m2 withsamples coordinates of 00°3'00.0'' N and 119°19'48.0’’ E and 254,606,779.883 m2 with sample coordinates 00°21’21.5'' N and 119°46'12.0'' E.
Hubungan antar ukuran beberapa bagian tubuh rajungan (Portunus pelagicus) di perairan utara Lamongan, Jawa Timur Muhammad Arif Rahman; Feni Iranawati; Eko Sulkhani Yulianto; Sunardi Sunardi
JFMR (Journal of Fisheries and Marine Research) Vol 3, No 1 (2019): JFMR VOL 3 NO.1
Publisher : JFMR (Journal of Fisheries and Marine Research)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1163.133 KB) | DOI: 10.21776/ub.jfmr.2019.003.01.16

Abstract

Rajungan (portunus pelagicus) merupakan salah satu komoditas penting perikanan Indonesia. Pengetahuan tentang aspek biologi rajungan, termasuk hubungan antar ukuran bagian-bagian tubuhnya (morfometrik) dan sebaran lebar karapas serta beratnya, akan berguna sebagai salah satu informasi dalam pengelolaan rajungan. Penelitian ini bertujuan untuk mengetahui hubungan lebar karapas- berat rajungan, hubungan lebar-panjang-tinggi karapas, serta sebaran lebar dan berat rajungan. Metode yang digunakan adalah survei dengan pengambilan sample secara acak pada 2 (dua) titik pendaratan ikan di perairan utara Lamongan, khusunya kecamatan Paciran pada bulan Juli sampai September 2018. Hasil penelitian menunjukkan sifat pertumbuhan isometrik untuk rajungan betina dan allometrik positif untuk rajungan jantan. Selain itu, didapatkan hubungan linear positif dengan nilai a = 0,06 dan b = 0,45 untuk lebar-panjang karapas serta nilai a = 0,06 dan b = 0,25 untuk lebar-tinggi karapas. Rajungan betina paling banyak ditangkap pada lebar karapas 12-13 cm dan berat 100 g, sedangkan rajungan jantan sering ditangkap dengan lebar karapas 11 cm dan berat 80-90 g.  Masih adanya rajungan dibawah ukuran lebar karapas 10 cm yang tertangkap (lebar karapas diatas 10 cm adalah aturan rajungan yang boleh ditangkap sesuai dengan PER MEN KP 56/2016), maka informasi tentang hubungan lebar-panjang-tinggi rajungan dapat dijadikan masukan untuk melakukan modifikasi alat tangkap, misalnya mendesain ukuran celah pelolosan pada bubu, agar rajungan dengan lebar karapas dibawah 10 cm dapat keluar dari alat tangkap.
UJI LABORATORIUM KESESUAIAN UKURAN CELAH PELOLOSAN PADA BUBU LIPAT TERHADAP TINGKAT PELOLOSAN RAJUNGAN (Portunus pelagicus) Muhammad Arif Rahman; Ledhyane Ika Harlyan; Feni Iranawati; Riska Oktaviana; Imam Subali; Eko Sulkhani Yulianto
Jurnal Penelitian Perikanan Indonesia Vol 26, No 3 (2020): (September) 2020
Publisher : Pusat Riset Perikanan, BRSDM KP.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/jppi.26.3.2020.159-166

Abstract

Rajungan (Portunus pelagicus) merupakan salah satu komoditas perikanan yang memiliki nilai ekonomis penting yang ditangkap dengan alat tangkap pasif, seperti bubu lipat. Penggunaan celah pelolosan pada bubu diharapkan mampu memenuhi ukuran rajungan yang diperbolehkan untuk ditangkap sebagaimana yang tertulis pada Peraturan Menteri Kelautan dan Perikanan 12/2020 (lebar karapas >10 cm). Tujuan dari penelitian ini adalah untuk mengetahui ukuran celah pelolosan yang sesuai untuk meloloskan rajungan dengan lebar karapas 10 cm serta mampu menahan rajungan dengan lebar karapas >10 cm. Sebanyak 30 ekor rajungan dengan lebar karapas 9-10,8 cm diuji cobakan terhadap tiga ukuran celah pelolosan yang berbeda (4,6 x 2,6 cm; 5 x 3 cm; dan 7 x 2,5 cm), dengan tiga kali ulangan. Uji coba dilaksanakan di laboratorium pada bulan Maret 2020. Hasil penelitian menunjukkan bahwa tidak ada perbedaan tingkat pelolosan rajungan pada ketiga ukuran celah pelolosan. Meski demikian, ukuran 4,6 x 2,6 cm diyakini merupakan ukuran yang paling efektif karena mampu meloloskan rajungan dengan lebar karapas 10 cm (46,9%), serta paling bagus dalam menahan rajungan dengan lebar karapas >10 cm tetap berada di dalam bubu. Percobaan lapang terhadap ukuran celah pelolosan ini pada beberapa perairan diperlukan untuk mengkonfirmasi penggunaannya pada perikanan rajungan.The blue swimming crab (Portunus pelagicus, BSC) is one of fishery commodities caught by passive gears, such as collapsible traps. The use of escape-vent on traps was supposed to comply with the legal size of BSC’s catch declared in the Ministerial Decree 12/2020 (i.e. >10 cm of carapace width). To determine an appropriate escape-vent size which is able to release BSC of 10 cm Carapace Width (CW) and to retain BSC of > 10 cm CW, 30 samples of BSC were tested on three different sizes of escape-vent (4.6 x 2.6 cm; 5 x 3 cm; and 7 x 2.5 cm) with three replications of each size. The results show that there was no significant difference of BSC’s escape rate among the escape-vent sizes. However, the size of 4.6 x 2.6 cm was assumed as the most effective escape-vent as it could release BSC of 10 cm CW (46.9%), and best to retain BSC of >10 cm CW inside the trap compared to other sizes. Field investigation might be needed to confirm the effect of the appropriate escape-vent size of collapsible trap on BSC fishery.
PROGRAM DOKTOR MENGABDI DIVERSIFIKASI PRODUK OLAHAN BERBASIS MANGROVE DI DESA BANYUURIP KECAMATAN UJUNG PANGKAH KABUPATEN GRESIK JAWATIMUR Muhammad Arif Rahman; Defri Yona; Nurin Hidayati; Syarifah Hikmah Julinda Sari; Iis Nur Rodliyah
J-Dinamika : Jurnal Pengabdian Masyarakat Vol 4 No 2 (2019): Desember
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/j-dinamika.v4i2.1109

Abstract

Sejak tahun 2013, Pemerintah Desa Banyuurip bersama dengan Kelompok Pelestari Mangrove dan Lingkungan Banyuurip mendirikan Kawasan Ekowisata dan Konservasi Mangrove yang dikenal dengan nama Banyuurip Mangrove Center (BMC). Selain sebagai tempat pembibitan dan pelestarian mangrove, kawasan ekowisata yang mulai dibuka pada tahun 2015 ini memiliki berbagai jenis mangrove dengan jenis yang mendominasi adalah Avicennia sp. dan Rhizophora. Saat buah mangrove melimpah, penduduk sekitar BMC kadang memanfaatkannya sebagai olahan seperti sirup dan jenang untuk dikonsumsi sendiri. Berangkat dari permasalahan ini, Program Doktor Mengabdi Universitas Brawijaya Tahun 2018 dilakukan untuk membantu para pengelola ekowisata mangrove dalam memanfaatkan dan mengelola produk-produk mangrove untuk mengembangkan ekowisata mangrove yang telah berjalan. Kegiatan yang dilakukan untuk mengatasi masalah tersebut adalah dengan mengadakan pelatihan pengolahan produk mangrove oleh praktisi dari Lamongan yang telah sukses mengolah kopi mangrove serta tim dari KeSEMaT, Semarang yang telah memiliki banyak desa binaan dengan berbagai macam produk seperti stik mangrove, krupuk mangrove, cendol mangrove serta batik mangrove. Dengan adanya pemanfaatan dan pengelolaan produk mangrove, maka BMC diharapkan dapat menjadi satu paket tempat wisata yang lengkap, yakni wisata alam, wisata pendidikan, dan juga wisata ekonomi.Kata kunci: BMC, Mangrove Jawa Timur, Produk Mangrove
Sistem Monitoring Aliran Sungai dan Lingkungan Berbasis Smart Environment di RW 03 Kelurahan Kauman Kota Malang Sutrisno Sutrisno; Imam Cholissodin; Arief Andy Soebroto; Muh Arif Rahman
JAST : Jurnal Aplikasi Sains dan Teknologi Vol 5, No 1 (2021): EDISI JUNI 2021
Publisher : Universitas Tribhuwana Tunggadewi Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33366/jast.v5i1.2259

Abstract

Monitoring of the rivers state and the environment of roads in the city center is often still inadequate. For example, garbage is often found in the river, while on the roads, there is still not yet a sound security system. Kauman RT 03 RW III Klojen Malang is one of the densely populated regions and is located in the center (point of zero) of Malang city at the time ago still does not have a security system or security guard and there is a river flow which is often found garbage piling up and often causes flooding when it rains heavy. Based on field conditions in Kauman and meetings with residents represented by several RT heads in RW 03 Kauman, Klojen Malang requires the use of a smart environment and CCTV technology integration. Therefore the result of dedication to society to apply CCTV's technology, so it has been used at Kauman for environmental and security monitoring. Considering the high level of the busyness of the urban at Kauman, with providing it, they can be monitoring the environment by automatically systems continuously 24 hours every day. Therefore, the system has been being able to facilitate and help people to monitor the environment and river flow to be more effective, efficient, and modern. ABSTRAKMonitoring keadaan sungai dan lingkungan ruas jalan pada masyarakat tengah kota seringkali masih belum memadai. Di aliran sungai misalnya, masih sering dijumpai sampah yang menumpuk, sedangkan di ruas jalan masih belum dijumpai sistem keamanan yang baik. Kampung Kauman RT 03 RW III kecamatan Klojen Kota Malang merupakan salah satu kampung yang padat penduduk dan berada di pusat (titik nol) kota saat ini belum memiliki sistem keamanan ataupun satpam dan terdapat aliran sungai yang seringkali dijumpai sampah menumpuk bahkan sering menyebabkan banjir bila hujan deras. Berdasarkan kondisi lapangan di kampung Kauman dan pertemuan dengan warga yang diwakili oleh beberapa ketua RT di wilayah RW 03 Kauman yang membutuhkan pemanfaatkan integrasi teknologi smart environment dan teknologi CCTV. Hasil kegiatan pengabdian masyarakat telah dapat secara optimal dimanfaatkan untuk memenuhi kebutuhan pengawasan ataupun monitoring lingkungan tersebut. Mengingat tingkat kesibukan masyarakat perkotaan yang tinggi, dengan adanya sistem monitoring mereka dapat mengambil manfaat besar dengan dikembangkannya sistem pengawasan aliran sungai dan lingkungan yang bisa bekerja secara otomatis dan kontinyu selama 24 jam. Sistem yang dibuat telah mampu memudahkan sekaligus membantu masyarakat untuk monitoring lingkungan dan aliran sungai secara lebih efektif, efisien, dan modern. 
Identifikasi Spesies Pendukung Perikanan Kembung dengan Alat Tangkap Purse Seine di Perairan Utara Probolinggo, Jawa Timur Dewa Gede Raka Wiadnya; Muhammad Arif Rahman; Ledhyane Ika Harlyan; Andi Khofifah Nurfadillah
Jurnal Kelautan Tropis Vol 26, No 1 (2023): JURNAL KELAUTAN TROPIS
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jkt.v26i1.16532

Abstract

Short mackerel is one of small pelagic species which is prioritized in fisheries management of East Java. The first steps to improve this fishery is to carry out stock assessment, the impact of fisheries on the environment, and effective management. This study aims to identify and categorize the species supporting the mackerel fishery in Fisheries Management Area (FMA) 712, especially those caught by purse seine vessels in IPPP Paiton, Probolinggo. This study found that there were two species of short mackerel, Rastrelliger branchysoma and R. kanagurta. There were 16 species interacting with this fishery, none of them were included in the Endangered, Threatened, and Protected (ETP) category based on the IUCN Redlist. These species are categorized into 2 groups, namely main secondary (5 species) and minor secondary (11 species), with the largest proportion being was goldstipe sardine. This information can be a start in the fisheries improvement program of short mackerel fishery in East Java. Future research related to the stocks, habitats and ecosystems of each species can be carried out to complete the information and support the formulation as well as implementation of fisheries improvement program of short mackerel fishery in East Java.  Ikan kembung merupakan salah satu jenis pelagis kecil yang menjadi prioritas dalam pengelolaan perikanan di Jawa Timur. Salah satu langkah awal untuk melakukan perbaikan perikanan ini adalah dengan melakukan penilaian terkait stok, dampak perikanan terhadap lingkungan, serta tata kelola atau pengelolaan yang efektif. Penelitian ini bertujuan untuk mengidentifikasi dan mengkategorisasi spesies pendukung perikanan kembung pada Wilayah Pengelolaan Perikanan (WPP) 712, khususnya yang ditangkap oleh kapal-kapal purse seine dari IPPP Paiton, Probolinggo. Hasil penelitian mendapatkan bahwa ikan kembung yang tertangkap terdiri dari kembung perempuan (R. branchysoma) dan kembung lelaki (R. kanagurta). Spesies pendukung atau yang berinteraksi dengan perikanan ini ditemukan sebanyak 16 spesies, dengan tidak ada spesies yang masuk dalam kategori Endangered, Threatened, and Protected (ETP) berdasarkan Redlist IUCN. Spesies pendukung ini dikategorikan kedalam 2 kelompok, yaitu sekunder utama (5 spesies) dan sekunder minor (11 spesies), dengan proporsi terbesar adalah ikan tembang. Informasi ini dapat menjadi awal dalam proses perbaikan perikanan kembung di Jawa Timur. Penelitian lain terkait stok, habitat, dan ekosistem masing-masing spesies dapat dilakukan untuk melengkapi informasi dalam mendukung rumusan dan pelaksanaan program perbaikan perikanan kembung di Jawa Timur.
Klasifikasi Sinyal Otak Motor Imagery Menggunakan Extreme Learning Machine Dan Discrete Fourier Transform Fransiskus Cahyadi Putra Pranoto; Agus Wahyu Widodo; Muhammad Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1325.749 KB)

Abstract

The brain is the most important body organ that humans have to act as a process for all movements and thoughts in the human body. The brain emits a signal when doing an activity and can be captured by an interface device called brain computer interfaces. To stimulate brain signal activity a stimulus is used, namely an imagery motor. Imagery motors are representations of motor movements imagined by the brain. In this study using 3 datasets namely datasets that have been collected by researchers with muse devices with subjects numbering 20 and having an age range of 19-23 years, the second and third datasets are BCI Competition IIIA and IIIB which are publicly available at bbci.de. The BCI Competition IIIA and IIIB datasets will be used to compare the quality of the datasets collected by the researchers. Signal processing uses the Butterworth Filter Infinite Impulse Response method with a frequency range of 8 to 30 Hz. In this study a study was conducted on the implementation of feature extraction methods with the help of the Discrete Fourier Transform method and the classification of brain signals using the Extreme Learning Machine method that uses imagery motor stimuli. The results obtained were 44% accuracy for 5 classes, 85% and 90% for 2 classes using Muse datasets, 66.67% and 75% 4 classes using BCI Competition IIIA datasets and 93.33% 2 classes using BCI Competition IIIB datasets.
Ekstraksi Ciri Pada Klasifikasi Tipe Kulit Wajah Menggunakan Metode Haar Wavelet Muhammad Rafi Farhan; Agus Wahyu Widodo; Muhammad Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 3 (2019): Maret 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (931.405 KB)

Abstract

Facial skin is one of the important parts of a human body. Lots of people trying to make their skin flawless. And also, most of them are willing to spend their money to achieve a perfect skin starts from treatment with distinguished doctors, applying expensive skin products or going abroad to get the product that matches with their skin type. The problem is, people are having difficulties on choosing the right product due to the nonconformity between the purchased product with the skin type. Moreover, this problem leads to acne, wrinkles, and black spot on the skin. The need for a system to ease non-expert to determine their skin type. So, they can purchase the product that fits their skin type. Therefore, the author propose to build a classification system which can classify skin types. In building that, the author uses haar wavelet method which is has been proven to get good result. Based on the result of this research, the highest accuracy is 90% in detection type of skin.
Pemanfaatan Metode Texture-Based Region Growing Untuk Segmentasi Buah Jeruk Keprok (Citrus Reticulata Blanco) Rr Dea Annisayanti Putri; Agus Wahyu Widodo; Muhammad Arif Rahman
Jurnal Pengembangan Teknologi Informasi dan Ilmu Komputer Vol 3 No 4 (2019): April 2019
Publisher : Fakultas Ilmu Komputer (FILKOM), Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (863.403 KB)

Abstract

Indonesia is a producer of “Keprok” and the largest harvest area in ASEAN. In market competition, the most important thing for oranges is quality. The visual technology method can be used to replace the quality determination process that is still manual. One process of determining automatic quality is segmentation. Segmentation is the process of separating objects studied from less important parts. The segmentation process is an important process in determining quality, the results of segmentation must be precise, no under segmentation or no over segmentation. This study uses the region growing method with texture value parameters obtained from contrast, homogeneity, entropy, and energy features in the gray level co-occurrence matrix (GLCM) method. First, the image of oranges is taken. In the image of oranges, pre-processing takes the form of changing the color and size of the image. Then the image of the orange is divided into a collection of pixels called windows, with sizes 10, 20, 50, and 100 pixels. From the window group, one window will be selected which becomes the starting point for region growing. In the initial window and 8 neighbor windows, feature values are taken. The neighboring window is considered to be the orange part if it has a feature value according to the boundary. This study resulted in the best level of segmentation accuracy of 84.7% with a window size of 50x50 pixels, an entropy feature, and a limit value of 5.
Co-Authors A Alfan Jauhari Abdullah Hamid Achmad Ridok Agi Putra Kharisma, Agi Putra Agus Wahyu Widodo Agus Wahyu Widodo, Agus Wahyu Aida Sartimbul Aldinno, Deva Ali Muntaha Alvina Maharani Andi Khofifah Nurfadillah Andreas Pardede Arief Andy Soebroto Bagidya, Moga Taufiq Bagus Priambodo Berton, Freddy Toranggi Cangara, Satriawati Citra Satrya Utama Dewi Daduk Setyohadi Darmawan Ockto Sutjipto Debby Aranindy Putri Wangi Defri Yona Dewa Gede Raka Wiadnya Dewa Gedhe Raka Wiadnya Dewi Novita Sari Dian Eka Ratnawati Edy Santosa Edy Santoso Eko Sulkhani Yulianto Farys, Sholeh Al Fawwaz Haryono, M. Naufal Feni Iranawati Fransisca Sariuli Tobing Fransiskus Cahyadi Putra Pranoto Gatut Bintoro Geoffrey Manurung, Daniel Iis Nur Rodliyah, M.Ed Imam Cholissodin Imam Subali Indriati Ismanto, Matyus Garbela Jonemaro, Eriq Muhammad Adams Juan, Patrick Kurnianingtyas, Diva Lailil Muflikhah Ledhyane Ika Harlyan Marji Mihrobi Khalwatu Rihmi Mr Sunardi Muhammad Rafi Farhan Nanda Dwi Putra Miskarana Ade Nindi Nur Wulandari Nita Hellis Setyowati Novanto Yudistira Nugroho, Muhammad Alifyan Satrio Nurdin, Abd. Rahim Nurin Hidayati Nurin Hidayati Nurul Hidayat Prakoso, Gideon Aji Pramana Putra, Jody Priyanka Mondal Putra Pandu Adikara Putri, Safinatunnajah Mutiara Rahmansyah, Muhammad Dzikri Randy Cahya Wihandika Riska Oktaviana Rr Dea Annisayanti Putri Safitri Widya Ningtias Shobriyyah Afifah Nabilah Shofiatul Kholishoh Solimun, Solimun Sunardi Sunardi Sunardi, Sunardi Supapong Pattarapongpan SUTRISNO Syarifah Hikmah Julinda Sari Tri Djoko Lelono Tsania Humairoh Vita Rumanti Kurniawati Wahida Kartika Sari Wakhit Rhomadona Wayan Firdaus Mahmudy Yogho Faiz Riadha