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TINGKAT PROTEIN DAN LISIN DALAM RANSUM TERHADAP EFISIENSI LISIN DAN PROTEIN NETTO PADA AYAM KAMPUNG UMUR 12 MINGGU Rizkuna, Akhmat; Wibowo, Ari; Fatmarischa, Novemia; Suhardi, Suhardi; Yusuf, Roosena; Rinastiti, Aghnetha Lintang
Agrinimal Jurnal Ilmu Ternak dan Tanaman Vol 13 No 1 (2025): Agrinimal Jurnal Ilmu Ternak dan Tanaman
Publisher : Jurusan Peternakan Fakultas Pertanian Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/ajitt.2025.13.1.26-31

Abstract

Penelitian yang dilakukan ini dalam mencari pengaruh tingkat protein dan lisin terhadap efisiensi lisin dan penggunaan protein netto pada ayam kampung yang diperlihara sampai umur 12 minggu. Penelitian yang dilakukan menggunakan 240 ekor ayam kampung (unsex). Model rancangan yang diganakan dalam penelitian ini yaitu Rancangan Acak Lengkap (RAL) faktorial 2 x 3 menggunakan 4 ulangan, sehingga terdapat 24 perlakuan dan setiap perlakuan unit percobaan berisi 10 ekor ayam. Perlakuannya meliputi P1L1 (protein 17% + lisin 0,6% ransum), P1L2 (protein 17% + lisin 0,7% ransum), P1L3 (protein 17% + lisin 0,8% ransum), P2L1 (protein 14% + lisin 0,6% ransum), P2L2 (protein 14% + lisin 0,7% ransum), P2L3 (protein 14% + lisin 0,7% ransum). Pengamatan parameternya meliputi efisiensi lisin dan penggunaan protein netto. Analisa data lanjutan menggunakan analisis uji F untuk mengetahui pengaruh perlakuan, dilanjutkan dengan uji Duncan pada tingkat probabilitas 5% jika ditemukan pengaruh nyata. Hasil penelitian ini menunjukkan bahwa munculnya interaksi protein dan lisin ransum yang nyata (P<0,05) terhadap efisiensi lisin ayam kampung pada umur 12 minggu dengan memberikan hasil yang terbaik pada perlakuan ransum P2L1 (protein 14% dengan lisin 0,6%) dan tidak ada interaksi tingkat protein dan lisin ransum yang nyata (P>0,05) terhadap penggunaan protein netto (PPN) pada ayam kampung umur 12 minggu. Berdasarkan hasil penelitian disimpulkan bahwa efisiensi lisin yang optimal dalam ransum pada Protein 14% dan Lisin 0,6% dan tidak memberikan pengaruh dari parameter penggunaan protein netto. ABSTRACT This study aimed to determine the effect of protein and lysine levels on lysine efficiency and netto protein utilization in native chickens raised up to 12 weeks of age. The research utilized 240 unsexed native chickens. A completely randomized design (CRD) with 2 × 3 factorial consisting of 4 replications and 24 experimental units, with each unit containing 10 chickens. The treatments included P1L1 (17% protein + 0.6% lysine in the diet), P1L2 (17% protein + 0.7% lysine in the diet), P1L3 (17% protein + 0.8% lysine in the diet), P2L1 (14% protein + 0.6% lysine in the diet), P2L2 (14% protein + 0.7% lysine in the diet), and P2L3 (14% protein + 0.8% lysine in the diet). Observed parameters included lysine efficiency and net protein utilization. Data analysis involved an F-test to identify treatment effects, with followed by Duncan's multiple range test at a 5% significance level for significant results. The results revealed a significant interaction (P<0,05) between protein and lysine in the diet on lysine efficiency in 12-week-old native chickens, with the best result observed in the P2L1 treatment (Protein 14% and lysine 0.6% in the diet). However, there was no significant interaction (P>0.05) between protein and lysine levels on net protein utilization at 12 weeeks of age. Based on the findings, it can be concluded that optimal lysine efficiency in the diet is achieved with 14% protein and 0.6% lysine, while netto protein utilization is not significantly affected by the treatments.
Antioxidant Activity and Physical Characteristics of Pasteurised Goat Milk with Added Kelulut Honey Sulistyowati, Anastasya Dian; Wibowo, Ari; Nurmasytah, Andi; Suhardi, Suhardi; Ismanto, Arif
Jurnal Teknologi Hasil Peternakan Vol 6, No 1 (2025): Maret
Publisher : Unpad Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/jthp.v6i1.61947

Abstract

This study investigates the impact of incorporating kelulut honey (Heterotrigona itama) on the antioxidant activity and physical properties of pasteurized goat milk. Kelulut honey, known for its high content of bioactive compounds such as flavonoids and phenolics, has been shown to enhance the antioxidant capacity of food products. A completely randomized design (CRD) was employed, with five experimental treatments involving the addition of kelulut honey at concentrations of 0%, 5%, 10%, 15%, and 20% to pasteurized goat milk. Key parameters evaluated included antioxidant activity (measured using the DPPH method), viscosity, pH, and color attributes (L*, a*, b*). The results demonstrated a significant increase in antioxidant activity, peaking at 77.92% in the 20% honey treatment. Furthermore, viscosity was observed to rise with increasing honey concentration, while pH levels exhibited a decline. Color analysis indicated a shift towards more reddish (a*) and yellowish (b*) hues as honey concentrations increased. These findings highlight kelulut honey as a potent natural antioxidant that also improves the physical characteristics of pasteurized goat milk. The study suggests that this fortified product has potential as a functional beverage, offering notable health benefits to consumers.
Genetic Diversity Analysis of Sambar Deer (Cervus unicolor) Based on Mitochondrial DNA D-loop Sequence Jofaturrahmah, Aisyah; Fanani, Anhar Faisal; Wibowo, Ari; Indana, Khoiru; Putra, Widya Pintaka Bayu; Suhardi, Suhardi
Jurnal Sain Peternakan Indonesia Vol 20 No 1 (2025)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jspi.id.20.1.61-69

Abstract

This study aimed to analyze the genetic diversity of the sambar deer (Cervus unicolor) population through mitochondrial D-loop DNA sequencing. The findings provide valuable insights into the conservation status of this vulnerable species in the region and inform future management strategies for Cervus unicolor. Blood samples from 10 individual sambar deer, consisting of 8 females and two male deer, were amplified using PCR and then sequenced. Data analysis of the genetic diversity of sambar deer was carried out using the genome sequencing method from NCBI, Bioedit 7.7.1 software, DNAsp 5.1, and MEGA 11 Software. The results of this study were that the DNA concentration test in sambar deer had an average of 12.375 ng/uL, with an average DNA purity test = 1.34, with 10 samples divided into 3 haplotypes. The level of genetic diversity of sambar deer from all samples is π = 0.01745 ± 0.00380, and haplotype diversity of Hd = 1,000 ± 0.045. Based on the phylogenetic tree, there are two parts: the Asian and Kalimantan regions. The conclusion of the current study showed that sequencing analysis of Sambar deer shows relatively high diversity and is a reasonable basis for performance selection and development of modern Sambar deer breeding.
Detection of Genetic Diversity of Sambar Deer (Cervus unicolor) Using Inter Simple Sequence Repeat Molecular Markers Alfiya, Sofyana; Putra, Widya Pintaka Bayu; Fanani, Anhar Faisal; Wibowo, Ari; Suhardi, Suhardi
Jurnal Sain Peternakan Indonesia Vol 20 No 1 (2025)
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31186/jspi.id.20.1.70-77

Abstract

The Sambar deer (Cervus unicolor) is a species facing the threat of population decline due to poaching. This study aims to analyze the genetic diversity of Sambar Deer from East Kalimantan using the Inter Simple Sequence Repeat (ISSR) molecular marker with primers P01 and P02. There were 10 sambar deer, eight females and two males, from Pembibitan Ternak dan Hijuan Pakan Ternak, Penajam Paser Utara, East Kalimantan. Blood samples were obtained from the jugular vein using an EDTA project tube. The samples were processed through Polymerase Chain Reaction (PCR) and electrophoresis to detect polymorphism patterns. This research showed a DNA  average purity of 1.382 and an average concentration of 13.205; primer P01 produced three haplotype diversity, and primer P02 produced two haplotype diversity. The Polymorphic Information Content (PIC) values were 0.632 for primer P01 and 0.304 for primer P02. Dendrogram analysis revealed three population clusters based on genetic diversity. The conclusion indicates polymorphism, with primer P01 showing higher polymorphism than primer P02.
PENELUSURAN JEJAK BANGUNAN KOLONIAL DI INDONESIA BERBASIS FAÇADE BANGUNAN MENGGUNAKAN METODE CNN ARSITEKTUR VGG16 Susanto, Susanto; Wibowo, Ari
Jurnal Arsitektur ARCADE Vol 7 No 3 (2023): Jurnal Arsitektur ARCADE September 2023
Publisher : Prodi Arsitektur UNIVERSITAS KEBANGSAAN

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

Abstract

Abstract: Colonialization in Indonesia, especially that carried out by the Dutch, is one of the important historical chapters in Indonesia because it was able to change the way of thinking of architecture in the Dutch East Indies to be more modern, approaching what happened in Western countries. The influence of modernism in architecture can be seen in the façade, shape, strength, and other important parts. Broadly speaking, colonial buildings are buildings that have patterns and characteristics that other buildings do not have. Therefore, the building is capable of being recognized. One way to quickly identify and trace the Dutch colonial legacy is to use the CNN method. Using the CNN method shows that the input data used can be recognized very well. Because the level of accuracy in the training stage is 97% and the accuracy value of each input image detection is more than 90%. One example is the Maybank Surabaya building, which includes a colonial architectural style with an accuracy of 100%, the Zeiss telescope dome is included in a colonial architectural style building with an accuracy rate of 99%, and other examples of buildings.Keyword: Kata Kunci 1, Colonial Architecture 2, Architectural style detection 3, CNNAbstrak: Kolonialisasi di Indonesia terutama yang dilakukan oleh Belanda merupakan salah satu babak sejarah penting di Indonesia karena mampu merubah cara berfikir arsitektur di Hindia Belanda semakin modern mendekati yang terjadi di negara Barat. Pengaruh modernism dalam arsitektur tersebut dapat dilihat pada façade, bentuk, kekuatan, dan bagian penting lainnya. Secara garis besar bangunan colonial merupakan bangunan yang memiliki corak dan ciri khas yang tidak dimiliki oleh bangunan lain. Oleh karena itu, bangunan tersebut mampu untuk dikenali. Salah satu cara dalam mengenali maupun menelusuri jejak peninggalan colonial belanda secara cepat adalah dengan menggunakan metode CNN. Dengan menggunakan metode CNN menunjukkan bahwa data inputan yang dipakai mampu dikenali dengan sangat baik. Dikarenakan tingkat akurasi di tahap pelatihan sebesar 97% serta nilai akurasi tiap deteksi gambar inputan yang mencapai 90% lebih. Salah satu contohnya Gedung maybank Surabaya termasuk tipe gaya arsitektur colonial dengan akurasi sebesar 100%, kubah teleskop Zeiss termasuk ke dalam bangunan dengan gaya arsitektur colonial dengan tingkat akurasi sebesar 99% dan contoh bangunan lainnya.Kata Kunci: Kata Kunci 1, Arsitektur kolonial  2, Deteksi gaya arsitektur 3, CNN
ANALISIS KEEFEKTIFAN PENCAHAYAAN BUATAN DALAM RUANGAN MENGGUNAKAN MACHINE LEARNING (Studi Kasus Data Sensor Lingkungan Dan Konsumsi Listrik Smart Building) Susanto, Susanto; Wibowo, Ari
Jurnal Arsitektur ARCADE Vol 8 No 1 (2024): Jurnal Arsitektur ARCADE Maret 2024
Publisher : Prodi Arsitektur UNIVERSITAS KEBANGSAAN

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

Abstract

Abstract: Lighting in an office is an important aspect which can certainly support the performance of its use. Especially in artificial lighting, it is not uncommon if the design system does not adapt to natural daylight, of course it is not effective, and has a negative impact and causes losses periodically. Therefore, it is important to know the effectiveness of using artificial lighting in a room. In this analysis process, one method that can be used is machine learning. By using CU-BEMS based data, which is obtained from environmental sensor data and electricity consumption. This data was taken over a period of 18 months, consisting of several readings from equipment installed in each room. And from this data it is used to select the required quantities so that they can suit your needs. After that, the XGBoost algorithm can be applied and the approach process carried out produces very good accuracy. This can be proven from the results of the resulting evaluation matrix, such as the R-Squared value of 0.99, the RMSE (Root Mean Square Error) is 0.028. Then, in the data testing process, high accuracy was also obtained, for R-Squared of 0.99 and RMSE (Root Mean Square Error) of 0.092. After the training and testing process has obtained very good results, we proceed to the process of analyzing the effectiveness of artificial lighting by entering certain input values, to produce information about the effectiveness of artificial lighting in certain rooms, accompanied by the level of confidence or accuracy of each prediction result.Keyword: Artificial Lighting, Sensor data and electricity consumption, Machine Learning, XGBooAbstrak: Pencahayaan pada kantor merupakan salah satu aspek penting yang tentu dapat menunjang kinerja penggunaannya. Khususnya dalam pencahayaan buatan, tidak jarang jika sistem perancangannya tidak menyesuaikan akan pencahayaan alami siang hari, tentulah tidak efektif, dan berdampak negative dan memberikan kerugian secara berkala. Oleh karena itu, penting untuk mengetahui keefektifan dari penggunaan pencahayaan buatan pada suatu ruangan. Dalam proses analisis ini salah satu metode yang dapat digunakan adalah dengan menggunakan machine learning. Dengan menggunakan data berbasis CU-BEMS, yang diperoleh dari data sensor lingkungan dan konsumsi listrik. Data ini diambil dalam kurun waktu selama 18 bulan, yang terdiri beberapa hasil pembacaan alat yang terpasang di tiap ruangan. Dan dari data tersebut digunakan untuk menyeleksi besaran yang diperlukan sehingga dapat sesuai dengan kebutuhan. Setelah itu, maka penerapan algoritma XGBoost dapat dilakukan dan dari proses pendekatan yang dilakukan, menghasilkan akurasi yang sangat baik. Hal ini dapat dibuktikan dari hasil matrik evaluasi yang dihasilkan seperti nilai R-Squared sebesar 0.99, besar RMSE (Root Mean Square Error) yaitu 0.028. Kemudian  pada proses pengujian data juga diperoleh akurasi yang tinggi, untuk R-Squared sebesar 0.99 dan RMSE (Root Mean Square Error) 0.092. Setelah proses pelatihan dan pengujian didapatkan hasil yang sangat baik, maka dilanjutkan ke proses analisis keefektifan pencahayaan buatan dengan mengisikan nilai inputan tertentu, untuk menghasilkan informasi mengenai keefektifan dari pencahayaan buatan pada ruangan tertentu dengan disertai tingkat kepercayaan atau keakurasian dari setiap hasil prediksinya.Kata Kunci: Pencahayaan Buatan, Data sensor dan konsumsi listrik, Machine Learning, XGBoost.
Analysis of Learning Strategies and Media in the School Curriculum at SDIT Al-Marjan, Bengkulu City Wibowo, Ari; Nurlaili, Nurlaili
Educate: Jurnal Ilmu Pendidikan dan Pengajaran Vol 4, No 2 (2025)
Publisher : Educate: Jurnal Ilmu Pendidikan dan Pengajaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56114/edu.v4i2.12273

Abstract

This study aims to evaluate the teaching strategies and learning media utilized in the implementation of the Kurikulum Merdeka at SDIT Al-Marjan in Bengkulu City, an Islamic-based school that integrates general education with religious values. A qualitative approach with a case study design was employed to examine the application of project-based learning (PjBL) and the use of digital technologies such as Google Classroom, Zoom, and social media as learning tools. The findings indicate that despite challenges such as limited infrastructure and teachers’ technological competencies, the school successfully fostered an interactive and adaptive learning environment. This was achieved through active teacher involvement, parental support in shaping students’ digital literacy, and the use of diverse learning media. In conclusion, contextual and collaborative teaching strategies and media play a vital role in supporting the successful implementation of the Kurikulum Merdeka, particularly in Islamic value-based schools in the digital era.
Penyelesaian Persamaan Diferensial Biasa dengan Metode Euler dan Heun Menggunakan Microsoft Excel Kusumawati, Della; Nisak, Karismatun; Wibowo, Ari
GAUSS: Jurnal Pendidikan Matematika Vol. 8 No. 1 (2025)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/gauss.v8i1.10556

Abstract

Abstrak Tujuan dari penelitian ini adalah untuk mengkaji Microsoft excel dalam menyelesaikan persamaan diferensial biasa (PDB) secara numerik menggunakan metode Euler dan metode Heun, baik kelebihan maupun kekurangnnya. Penelitian ini merupakan penelitian kualitatif dengan pendekatan studi kasus. Data diperoleh dari berbagai sumber seperti buku, artikel ilmiah dan berbagai sumber digital lainnya yang relevan dengan topik penelitian. Analisis data meliputi penentuan soal persamaan diferensial biasa kemudian diimplementasikan secara sistematis dalam Microsoft excel. Hasil penelitian menunjukkan bahwa Microsoft excel terbukti dapat digunakan sebagai alat bantu yang efektif dalam menyelesaikan Persamaan Diferensial Biasa (PDB) secara numerik. Namun, pada implementasinya memiliki kelebihan dan kekurangan. Kata kunci: Metode euler, metode heun, persamaan diferensial biasa, Microsoft excel Abstract The purpose of this research is to examine Microsoft Excel in solving ordinary differential equations (ODEs) numerically using the Euler method and the Heun method, both its advantages and disadvantages. This research is conducted as a qualitative study with a causal approach. Data were obtained from various sources such as books, scientific articles, and other relevant digital sources related to the research topic. Data analysis includes the determination of ordinary differential equation problems, which are then systematically implemented in Microsoft Excel. The research results show that Microsoft Excel has proven to be an effective tool in numerically solving Ordinary Differential Equations (ODEs). However, in its implementation, it has advantages and disadvantages.. Keywords: Euler Method, Heun Method, Ordinary Differential Equations, Microsoft Excel  
Implementasi Interpolasi Polinomial Bentuk Baku dan Metode Selisih Terbagi Newton Menggunakan Excel dan Google Colab Az Zahra, Aulia; Istiana, Nabila; Wibowo, Ari
GAUSS: Jurnal Pendidikan Matematika Vol. 8 No. 1 (2025)
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/gauss.v8i1.10589

Abstract

Abstrak Penelitian ini bertujuan menganalisis serta membandingkan efektivitas penerapan metode interpolasi polinomial bentuk baku dan metode selisih terbagi Newton memakai dua perangkat bantu: Microsoft Excel dan Google Colab. Interpolasi polinomial adalah cara numerik yang dipakai guna menaksir nilai fungsi dari titik-titik data khusus. Penelitian ini menggunakan suatu pendekatan kualitatif dengan suatu metode studi literatur untuk mengkaji teori, algoritma, serta penerapan praktis dari masing-masing metode tersebut. Hasil analisis menunjukkan bahwa kedua metode tersebut mampu memberikan hasil yang akurat, namun efektivitas dari keduanya dipengaruhi oleh media yang digunakan. Microsoft Excel lebih mudah digunakan dalam perhitungan sederhana serta visualisasinya, sedangkan Google Colab unggul dalam hal fleksibilitas, efisiensi perhitungan, dan kemampuan mengelola data yang lebih kompleks dengan Python. Penggunaan interpolasi orde lebih tinggi sering kali terbukti memberikan galat yang lebih kecil. Ini menunjukkan tingkat akurasi yang meningkat secara umum. Penelitian ini memberikan kontribusi besar dalam memberikan panduan praktis bagi para pendidik serta para pelajar dalam memilih suatu metode dan suatu perangkat bantu yang sesuai untuk menyelesaikan persoalan numerik interpolasi polinomial. Kata kunci: Google Colab, Interpolasi Polinomial Newton, Microsoft Excel, Selisih Terbagi. Abstract This research aims to analyze and compare the effectiveness of applying the standard form polynomial interpolation method and the Newton divided difference method using two tools: Microsoft Excel and Google Colab.Polynomial interpolation is a numerical method used to estimate the value of a function from specific data points.This research uses a qualitative approach with a literature study method to examine the theory, algorithms, and practical applications of each of these methods.The analysis results show that both methods are capable of providing accurate results, but the effectiveness of each is influenced by the medium used.Microsoft Excel is easier to use for simple calculations and visualizations, while Google Colab excels in terms of flexibility, computational efficiency, and the ability to manage more complex data with Python.The use of higher-order interpolation often proves to yield smaller errors.This indicates an overall increase in accuracy.This research makes a significant contribution by providing practical guidance for educators and students in selecting an appropriate method and tool to solve numerical polynomial interpolation problems.This research makes a significant contribution by providing practical guidance for educators and students in selecting an appropriate method and tool to solve polynomial interpolation numerical problems. Keywords: Google Colab, Polynomial Interpolation Newton, Microsoft Exce, Divided Differences.
Perbandingan Penggunaan Matlab dan Maple dalam Menentukan Akar Persamaan Menggunakan Metode Bagi Dua Rejeki, Trimo Bagiono; Lesmana, Anung Candra; Wibowo, Ari
Mandalika Mathematics and Educations Journal Vol 7 No 2 (2025): Edisi Juni
Publisher : FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jm.v7i2.8911

Abstract

Numerical methods play a crucial role in solving non-linear equations that cannot be solved analytically. This study compares the use of two software tools, Matlab and Maple, in determining the roots of non-linear equations using the bisection method. This method iteratively divides the root search interval into two parts until the specified error tolerance is reached. The research employs a descriptive qualitative approach, where two non-linear equations are tested using Matlab and Maple. The analysis results show that both software tools provide nearly identical outputs, with minimal differences due to variations in numerical representation. Matlab excels in numerical programming flexibility and data visualization, while Maple is easier to use as it has built-in functions for the bisection method. The findings of this study are expected to provide insights for users in selecting appropriate software to solve numerical method problems.
Co-Authors ., Claudia ., Halidazia Abdul Hakim, Nurman Abdul Malik Abdullah, Asep Junaedi Abdurrahman, Yusril Abyad, Muliawan Nur Achfas Zacoeb Achmad Wicaksono Adhe Aryswan Adicita, Yosef Adiputra, Kirana Dara Dinanti Adnin, Chaniva Adya Paramita Prabandari Afifah, Uci Ulfa Nur Afiyah, Siti Agoes SMD Agus Hadiyarto Ahmi, Afif Fakhri Akbar, Miftahur Rizqi Akhmat Rizkuna Al Machroja, Balad Fachruda Aldian, Farli Alfian Helmi Alfian Rokhmansyah Alfiansyah, Muhamad Aldi Alfiya, Sofyana Allo, Jonathan Ama, Jefrianus Tamo Amin, Rahmasinar Andesta Granitio Irwan Andik Yuliyanto Anggraini, Devica Novia Anhar Faisal Fanani Anindyasari, Dinar Anindyasari, Dinar Anisa Nur Laila Anisarida, An An Anita-Sari, Indah Anjani, Fandini Meilia Anjani, Fandini Melia Annisa Fitria Anton Setiawan Honggowibowo Aprillia Wijaya, Stefani Aqilah, Rifda Layyin Nur Ardhani, Dhea Chlarista Ardyan, Muhammad Ichsan Arie Desrianty Arif Ismanto, Arif Arif Satria Arifin, Ahmad Jayadi Arinata, Achmad Subki Ariyanto, Nugroho Pratomo Arroniri, M. Ridho Aryanto, Sani Astuti , Wiwin aulia, sherly Aulianesia, Bunga Avianindyas, Putri Az Zahra, Aulia Azami, Muhammad Rif’at Azhari, Muhammad Reza B.K., Bhondana Bayu Baedowi, Hilmina Rofa' bahar Bait, Intan Yuningsi Puspitasari Bangun, Michael Hagana Bashawri, Atta Batubara, Ninda Hardina Bayu Setyawan, Bayu Bisri , Moh. Boedi Hendrarto Brahmana K, Bhondana Bayu Brahmana K, Bhondana Bayu Budianto, Irawab R.d Budiman Budiman Butar, Hendra Butar Cahyo Budi Nugroho Chaijan, Manat Christin Remayanti Christin Remayanti N Christin Remayanti N. Christin Remayanti Nainggolan Cicilia Puji Rahayu Cori Qamara Dahlan Susilo Dahri Dahlan, Dahri Dani Durahman Darrisman, M. 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