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Keragaman genetik ikan tuna sirip kuning (Thunnus albacares) dari dua populasi di Laut Maluku, Indonesia Nebuchadnezzar Akbar; Neviaty P Zamani; Hawis H Madduppa
Depik Vol 3, No 1 (2014): April 2014
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.3.1.1304

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Abstract. Yellowfin tuna (Thunnus albacores) is a large, pelagic, and migratory species of tuna that inhabits Moluccas Sea in Indonesia, and most sea environment worldwide. However, high fishing activities tend to happen in the Indonesia region and catch product appear to be decreasing. A better understanding of yellowfin tuna genetic diversity is required to plan better conservation strategy of tuna. The study was conducted to infer the genetic diversity of yellowfin tuna (T. albacores) in the Moluccas Sea. A total of 41 tissue samples of yellowfin tuna were collected from two regions in the Moluccas Sea (North Moluccas and Ambon) during an expedition in February 2013. The results showed that genetic diversity and nucleotide diversity of yellowfin tuna from North Moluccas population was 0.984 and 0.021, respectively; while in Ambon population, the genetic and nucleotide diversities were 1.00 and 0.018, respectively. The high genetic diversity (0.990) and nucleotide diversity (0.020) between two populations were observed. Based on phylogenetic analysis, no genetic differentiation between the two populations in Moluccas Sea was revealed .Keywords :  Population genetics; Haplotype diversity; Coral Triangle; Phylogenetics; Polymerase Chain Reactions (PCRs) Abstrak. Tuna sirip kuning (Thunnus albacores) adalah ikan komersial penting dan ditemukan di Laut Maluku, Indonesia. Tetapi, aktivitas penangkapan ikan tuna sirip kuning dapat menurunkan kualitas dan kuantitas stok ikan, sehingga perlu adanya pengkajian keragaman genetik ikan tuna sirip kuning. Pemahaman yang baik tentang keragaman genetika dibutuhkan untuk merencanakan strategi konservasi tuna yang lebih baik. Penelitian ini bertujuan untuk mengetahui keragaman genetik  ikan tuna sirip kuning dari dua populasi di Laut Maluku. Sebanyak 41 sampel jaringan dari tuna sirip kuning dikumpulkan dari dua populasi di Laut Maluku (Maluku Utara dan Ambon) selama ekspedisi pada bulan Februari 2013. Hasil penelitian menunjukkan bahwa keragaman genetik populasi tuna sirip kuning pada perairan Maluku Utara dan Ambon masing-masing sebesar 0,984 dan 1,00 sedangkan nilai keragaman nukleotida masing-masing bernilai 0,021 dan 0,018. Nilai keragaman genetik dan keragaman nukloetida yang tinggi didaptkan antar kedua populasi masing-masing sebesar 0,990 dan 0,020. Berdasarkan analisis filogenetik, dua populasi di Laut Maluku ini memiliki kedekatan secara genetik.Kata kunci : Genetika populasi; Keragaman haplotipe; Segitiga Terumbu Karang; Filogenetika; Polymerase Chain Reaction (PCR)
Struktur komunitas ekosistem mangrove di kawasan pesisir Sidangoli Kabupaten Halmahera Barat, Maluku Utara Nebuchadnezzar Akbar; Abdurrachman Baksir; Irmalita Tahir
Depik Vol 4, No 3 (2015): DECEMBER 2015
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.4.3.3052

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Abstract. Mangroves is important ecosystem in coastal. However, multiple  destructive activities to cause reduced mangrove area. The information about area and criteria of mangrove in Sidangoli coastal area, had been doing, however information ecology mangrove unexplored. This information is required to plan better conservation strategy of mangrove. The study was conducted to infer the ecology of mangrove in the Sidangoli coastal of west halmahera regency, North Mollucas. A total of location diveded by four and perform in November 2014. Mangrove sampling, done by the "spot check". The results showed that mangrove of thickness ranging from 145-750 meters and founded 11 specieses from 5 families of mangroves. The ecology analysis showed that frequency and density of mangrove founded station three. Whereas persent cover contained station four and value sicnificant analysis in all station. The mangrove vegetation analysis contained the high frequency, density and value sicnificant is Rhizopora stylosa and high persent cover Sonneratia alba.the overall observation of mangrove explaided that mangrove ecosystem enter in low/damage criteria.Keywords:  Mangroves;  Rhizopora stylosa; spot check; Sonneratia alba Abstrak. Mangrove merupakan ekosistem penting di kawasan pesisir. Tetapi, berbagai macam aktivitas yang bersifat destruktif telah menurunkan luas penyebaran lahan mangrove. Informasi tentang luas dan kriteria mangrove di kawasan pesisir Sidangoli, Kabupaten Halmahera Barat telah dilakukan. Akan tetapi informasi tentang nilai ekologi mangrove belum dilaporkan, sehingga perlu adanya kajian tentang anailsis ekologi mangrove. Informasi nilai ekologi dapat dijadikan sebagai data untuk dijadikan sebagi acuan dalam merencanakan strategi konservasi. Penelitian ini bertujuan untuk mengetahui nilai ekologi mangrove dikawasan pesisir Sidangoli Kabupaten Halmahera Barat, Maluku Utara. Lokasi penelitian dibagi menjadi empat dan penelitian dilaksanakan pada November 2014. Pengambilan contoh mangrove, di lakukan dengan menggunakan metode “spot chek”. Hasil penelitian menunjukkan ketebalan mangrove berkisar 145-750 meter dan diperoleh sebanyak 11 jenis dari 5 famili mangrove. Analisis ekologi memperlihatkan bahwa nilai total kerapatan dan frekuensi tertinggi ditemukan pada stasiun  tiga. Sedangkan tutupan tertinggi pada stasiun empat serta nilai penting pada setiap stasiun adalah 300. Analisis vegetasi mangrove disetiap stasiun diperoleh kerapatan, frekuensi dan nilai penting jenis tertinggi adalah Rhizopora stylosa serta tutupan jenis tertinggi adalah Sonneratia alba. Total pangamatan jenis mangrove dan jumlah yang tersedia, menggambarkan kondisi ekosistem mangrove di pesisir Sidangoli masuk dalam kategori rendah/rusak.
The effect of NPK fertilizer with different dosage on the growth rate seaweed (Caulerpa racemosa) Riyadi Subur; Muhammad Irfan; Nebuchadnezzar Akbar
Depik Vol 10, No 3 (2021): December 2021
Publisher : Faculty of Marine and Fisheries, Universitas Syiah Kuala

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13170/depik.10.3.20848

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NPK is a type of fertilizer that plays a role in increasing growth and survival in plants such as seaweed. This study aims to determine the effect of different NPK fertilizer doses on the growth rate of seaweed (Caulerpa racemosa), and to determine which NPK fertilizer dosage has the best effect on the growth rate of C. racemosa. Research begins with collecting samples of seaweed in coastal waters. Ternate Island District Kastela, and the cultivation process is carried out on Jalan Jan, Tabona Village, South Ternate City. The time of the research was two months from August to October, 2020. This study used 12 units of cool box in the form of cork with a size of 90 x 30 cm, which is used as a container for maintaining of C. racemosa. In each treatment using a seed weight of 50 grams. The NPK fertilizer dosage treatment tested was 4 doses, with 3 replications, namely: treatment A: 40 ml NPK fertilizer; B: 60 ml NPK fertilizer; C: 80 ml NPK fertilizer; D: 0 ml NPK fertilizer (control). Research containers using random placement. The design used was a completely randomized design (CRD), using analysis of variance (ANOVA). The results obtained showed that NPK fertilizer with different doses the effect is not significantly different on the growth rate of C. racemosa with the highest average growth rate in treatment C amounting to 8.725%, followed by treatment B of 8.178%, treatment A of 7.761%, and the lowest was treatment D of 6.519%.Keywords:NPKSeaweedCaulerpa racemosaGrowth rate
Seagrass Potential as Supporting Ecotourism in Sibu Island, Subdistrict North Oba, North Maluku Province Abubakar, Salim; Subur, Riyadi; Rina, Rina; Kadir, Masykhur Abdul; Sabar, Mesrawaty; Darmawaty, Darmawaty; Akbar, Nebuchadnezzar
Agrikan Jurnal Agribisnis Perikanan Vol. 13 No. 2 (2020): Agrikan: Jurnal Agribisnis Perikanan
Publisher : Fakultas Pertanian, Universitas Muhammadiyah Maluku Utara

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

Abstract

The purpose of this research is to understand the condition biophysics of seagrass (Types of seagrass, Cover of seagrass, fish, makrozoobenthos, types of substrat, water brightness, the depth of the seagrass) and to establish the suitability of seagrass to support nautical ecotourism. This research have been done in Sibu island, Guraping village, north oba district, Tidore city for 6 month from April – September 2020. The method that used is a survey method consist of direct measuring of types seagrass, cover of seagrass, fish, makrozoobenthos, types of substrat, water brightness, the depth of the seagrass. The data analysis includes percentage of cover seagrass and the suitability index of seagrass ecotourism. The result of the biophysical study were obtained are 8 types of seagrass, cover of seagrass (51,04- 92,71%), fish (12 types), makrozoobenthos (17 types), brightness (77-100%), substart (sand, muddy sand, mud) flow speed (0,01- 0,06 m/dt) and the depth of the seagrass (1-2,5 m). Sibu island could be developed as a region of Seagrass Ecotourism with index suitability tourism (IKW) station 1,3,4 and for the whole are located in category S1 (very suitable) and station 2 is in the suitable category.
Seagrass Potential as Supporting Ecotourism in Sibu Island, Subdistrict North Oba, North Maluku Province Abubakar, Salim; Subur, Riyadi; Rina, Rina; Kadir, Masykhur Abdul; Sabar, Mesrawaty; Darmawaty, Darmawaty; Akbar, Nebuchadnezzar
Agrikan: Jurnal Agribisnis Perikanan Vol 13, No 2 (2020)
Publisher : Sangia Research Media and Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29239/j.agrikan.13.2.147-159

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Seagrass Ecotourism is a tourism activities based on the ecosystem of seagrass. Component of seagrass consist of vegetation and biota that associated with the seagrass. The purpose of this research is to understand the condition biophysics of seagrass (Types of seagrass, Cover of seagrass, fish, makrozoobenthos, types of substrat, water brightness, the depth of the seagrass) and to establish the suitability of seagrass to support nautical ecotourism. This research have been done in Sibu island, Guraping village, north oba district, Tidore city for 6 month from April – September 2020. The method that used is a survey method consist of direct measuring of types seagrass, cover of seagrass, fish, makrozoobenthos, types of substrat, water brightness, the depth of the seagrass. The data analysis includes percentage of cover seagrass and the suitability index of seagrass ecotourism. The result of the biophysical study were obtained are 8 types of seagrass, cover of seagrass (51,04- 92,71%), fish (12 types), makrozoobenthos (17 types), brightness (77-100%), substart (sand, muddy sand, mud) flow speed (0,01- 0,06 m/dt) and the depth of the seagrass (1-2,5 m). Sibu island could be developed as a region of Seagrass Ecotourism with index suitability tourism (IKW) station 1,3,4 and for the whole are located in category S1 (very suitable) and station 2 is in the suitable category.
The Population Structure of Endemic Halmahera Walking Shark (Hemiscyllium halmahera, Allen 2013) in Kao Bay Sea, North Maluku, Indonesia Akbar, Nebuchadnezzar; Bengen, Dietriech Geoffrey; Nurjaya, I Wayan; Natih, Nyoman MN; Baksir, Abdurrachman; Subhan, Beginer; Arafat, Dondy; Ismail, Firdaut; Siolimbona, Abdul Ajiz; Najamuddin, Najamuddin; Wahab, Iswandi
Journal Omni-Akuatika Vol 19, No 2 (2023): Omni-Akuatika November
Publisher : Fisheries and Marine Science Faculty - Jenderal Soedirman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.oa.2023.19.2.1090

Abstract

The Halmahera Walking Shark (Hemiscyllium halmahera) is an endemic fish in the Halmahera Sea. This species is distributed and found in the Kao Bay sea. The International Union for Conservation of Nature (IUCN) data shows that the Halmahera Walking Shark is in the Near Threatened status. Protection is carried out to protect the population, therefore scientific data and information are needed. This study focuses on the biological structure of the Halmahera Walking Shark population in Kao Bay sea. Data collection was carried out exploratively in coral reef, seagrass, mangrove ecosystems and by-catch. Samples were taken for morphometric data, weight and sex. Morphometric data were analyzed to obtain cohorts, separation index, class intervals, length-weight relationships and condition factors of walking shark. The result were found to be 33 individuals (13 male and 20 female). Morphological characteristics based on morphometric variables found no significant differences. Analysis of the cohort of the Halmahera Walking Shark (H.halmahera) found 3 groups namely the juvenile, mature and old age phases. The separation index shows that individuals come from different populations based on length. Growth pattern of the Halmahera Walking Shark (H.halmahera) is negative allometric. The histogram of the frequency distribution between classes found small to large size structures with different relative frequency percentages. The condition factor found that the body proportions of the Halmahera Walking Shark (H.halmahera) were in the plump category. All of this information is important to provide scientific data specifications to population.Keywords : Endemism, Halmahera, Morphology, Island, Semi enclosed
Challenges in Molecular and Morphological Identification of Sponge Species in Raja Ampat Aisyah, Siti Zanuba; Zamani, Neviaty Putri; Cahyani, Ni Kadek Dita; Elfahmi, Elfahmi; Syafrizayanti, Syafrizayanti; Andriani, Yosie; Arafat, Dondy; Bashari, Muhammad Hasan; Hanif, Novriyandi; Sani, Lalu M. Iqbal; Ayu, Inna Puspa; Akbar, Nebuchadnezzar; Subhan, Beginer
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 30, No 1 (2025): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ik.ijms.30.1.115-125

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Sponges (Phylum Porifera) are a group of highly diverse, sessile, and filter-feeding basal metazoans, except spongillids. The majority of sponges are marine species that play an important role in benthic habitat by maintaining the stability of marine ecosystems through nutrient cycling, habitat provision, and bioerosion. However, marine sponges are not easily identifiable because of their lack of species-level distinctive morphological features, which limits efforts to monitor actual species biodiversity. Indonesia is home to approximately 850 identified species of marine sponges, and Raja Ampat archipelago of West Papua province is known for its exceptional marine biodiversity. Despite the species abundance, the exact number of sponges in the region is not well-documented due to the lack of specific studies providing comprehensive data on their diversity. Therefore, this study aimed to conduct a DNA barcoding analysis using the mitochondrial cytochrome oxidase I (COI) gene as a marker, combined with morphological analyses of 22 individuals collected in the waters of Waigeo, Mansuar, and Gam Islands in Raja Ampat. The results showed that 3 samples were identified at the species level (Halichondria sp. and Stylissa carteri) with good query cover and percent identity. This showed the possible presence of undescribed or cryptic species, suggesting a severe lack of reference data for both morphology and molecular analyses of marine sponges in the region. Consequently, the analysis showed the presence of a significant gap in the understanding of sponge biodiversity in Raja Ampat's waters.
Dinamika spasial-temporal perubahan garis pantai Pulau Ternate dengan pemanfaatan citra resolusi tinggi google earth Paembonan, Rustam Effendi; Najamuddin, Najamuddin; Tahir, Irmalita; Akbar, Nebuchadnezzar; Ismail, Firdaut; Siolimbona, Abdul Ajiz; Wibowo, Eko S; Baddu, S; Mutmainnah, Mutmainnah
Jurnal Ilmu Kelautan Kepulauan Vol 7, No 2 (2024): Jurnal Ilmu Kelautan Kepulauan
Publisher : Fakultas Perikanan dan Kelautan. Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jikk.v7i2.9585

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Restorasi karang dengan metode mikrofragmentasi di Laut Kota Ternate. Maluku Utara Siolimbona, Abdul Ajiz; Baksir, Abdurrachman; Anwar, Muhammad Fathur; Ismail, Firdaut; Marus, Ikbal; Wibowo, Eko Setyobudi; Akbar, Nebuchadnezzar; Angkotasan, Abdul Motalib; Tahir, Irmalita; Arafat, Dondy; Subhan, Beginer
Jurnal Ilmu Kelautan Kepulauan Vol 7, No 2 (2024): Jurnal Ilmu Kelautan Kepulauan
Publisher : Fakultas Perikanan dan Kelautan. Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jikk.v7i2.9553

Abstract

Analysis of Mangrove Vegetation Index Using Landsat 8 Images in Dodinga Bay, West Halmahera Patty, Simon I.; Nurdiansah, Doni; Rizqi, Marenda Pandu; Akbar, Nebuchadnezzar; Huwae, Rikardo
Jurnal Ilmiah Platax Vol. 13 No. 1 (2025): ISSUE JANUARY-JUNE 2025
Publisher : Sam Ratulangi University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35800/jip.v13i1.60830

Abstract

Mangrove vegetation can be easily recognized from remote-sensing satellite images compared to other terrestrial vegetation. The vegetation index is applied to the satellite images to highlight the aspect of vegetation density. This study aims to determine the correlation between the value of the vegetation index and mangrove canopy cover data to achieve a proper vegetation index to estimate the density of the mangrove canopy. The data needed are satellite imagery from Landsat 8 and mangrove canopy cover in sampling locations along the coast of Dodinga Bay, West Halmahera. Image data analysis includes radiometric correction, image sharpening, masking, classification, and accuracy tests. The vegetation index algorithms used were NDVI, GNDVI, and IM, and regression analysis was carried out for correlation tests. The analysis results obtained four different land cover classes with an overall accuracy of 97.70% and a kappa coefficient of 0.9688. The IM vegetation index showed an excellent correlation with mangrove canopy cover compared to GNDVI and NDVI. The determination coefficient (R²) of the IM is 0.6765; GNDVI (0.4897) and NDVI (0.4825). The IM classification produces four levels of mangrove canopy density, i.e., sparse (7.40 ha), moderate (628.33 ha), dense (921.22 ha), and very dense (16.45 ha). Keywords: mangrove, Landsat 8 images, vegetation index, Dodinga Bay Abstrak Objek vegetasi mangrove paling mudah diidentifikasi dengan menggunakan citra satelit penginderaan jauh dibandingkan objek vegetasi darat lainnya. Indeks vegetasi diterapkan terhadap citra untuk menonjolkan aspek kerapatan vegetasi. Penelitian ini bertujuan mengetahui korelasi antara nilai indeks vegetasi dengan data tutupan kanopi mangrove, sehingga didapatkan indeks vegetasi yang sesuai untuk menduga kerapatan kanopi mangrove. Data yang diperlukan yaitu citra Landsat 8 dan tutupan kanopi mangrove di lapangan. Analisis data citra terdiri dari koreksi radiometrik, penajaman citra, masking, klasifikasi dan uji akurasi. Algoritma indeks vegetasi yang digunakan yaitu NDVI, GNDVI dan IM, serta dilakukan analisis regresi untuk uji korelasi. Hasil analisis mendapatkan empat kelas tutupan lahan yang berbeda dengan overall akurasi sebesar 97,70 % dan kappa coefisien sebesar 0,9688. Indeks vegetasi IM menunjukkan korelasi sangat baik dengan tutupan kanopi mangrove dibandingkan GNDVI dan NDVI. Koefisien determinasi (R²) IM adalah 0,6765; GNDVI (0,4897) dan NDVI (0,4825). Klasifikasi IM menghasilkan empat tingkat kerapatan kanopi mangrove yaitu mangrove jarang (7,40 ha), mangrove sedang (628,33 ha), mangrove lebat (921,22 ha), dan mangrove sangat lebat (16,45 ha). Kata kunci: mangrove, citra Landsat 8, indeks vegetasi, Teluk Dodinga
Co-Authors Abdul Ajiz Siolimbona Abdul Motalib Angkotasan Abdurrachman Baksir Abdurrachman Baksir Abdurrachman Baksir Abdurrachman Baksir Abdurrachman Baksir Abdurrachman Baksir Abdurrachman Baksir Abdurrachman Baksir Abdurrachman Baksir Abdurrachman Baksir Abdurrachman Baksir Abdurrachman Baksir Abdurrachman Baksir Abdurrachman Baksir, Abdurrachman Abjan Ibrahim Abjan Ibrahim Abjan Ibrahim, Abjan Abubakar, Salim Abubakar, Yuyun Achmad, M Djanib Achmad, M Janib Achmad, M. Djanib Achmad, M. Janib Achmad, Muhammad Janib Aisyah, Siti Zanuba Al Hadad, M. Said Alfiansyah Kahar Andika Muhammad Antonius P Rumengan Anwar, Muhammad Fathur Ardan Samman Arfa Buamona Asep Sandra Budiman, Asep Sandra Ayu, Inna Puspa Baddu, S Baddu, Sartini Bahar Subur, Abd. Bashari, Muhammad Hasan Beginer Subhan Darmawaty Darmawaty Darmawaty, Darmawaty Darmiyati Muksin Dietriech Geoffrey Bengen Disnawati Disnawati, Disnawati Dondy Arafat Doni Nurdiansah E Paembonan, Rustam Eko S Wibowo Eko S Wibowo Eko S Wibowo Eko S Wibowo Eko S Wibowo Eko S Wibowo Eko Setyabudi Wibowo Eko Setyabudi Wibowo Elfahmi Elfahmi, Elfahmi Fadel, Ariyati H. Fardan S Ibrahim Fione Yalindua Firdaut Ismail Firdaut Ismail Firdaut Ismail Firdaut Ismail Firdaut Ismail Firdaut Ismail Firdaut Ismail Firdaut Ismail Firdaut Ismail Firdaut Ismail Firdaut Ismail Firdaut Ismail Halikuddin Umasangadji Halikuddin Umasangaji Hapzi Ali Harahap, Zulhan Arifin Hari, Restu Fajar Hawis H Madduppa Hendrik A.W. Cappenberg Herawati Herawati Hi Abbas, M. Yunus Husen Rifai Huwae, Rikardo I WAYAN EKA DHARMAWAN I Wayan Nurjaya Ikbal Marus Ikbal Marus Ikbal Marus Ikbal Marus Ikbal Marus Ikbal Marus Ikbal Marus, Ikbal Inayah Inayah Irfan Haji Irfan Haji Irfan Haji Irfan Haji Irfan Haji Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir Irmalita Tahir, Irmalita Ismail, Firdaut Iswandi Wahab Karman, Amirul Karman, Amirul Kepel, Rene C Kotta, Raismin Labenua, Rusmawati M Irfan M. Abjan Fabanyo M. Irfan Mantiri, Desy M. H Marenda Pandu Rizki Martini Djamhur Masykhur Abdul Kadir Masykhur Abdul Kadir Masykhur Abdul Kadir Masykhur Abdul Kadir, Masykhur Abdul Mesrawaty Sabar Mochtar Djabar Muhajirin Ahmad Muhajirin Ahmad Muhajirin Ahmad Muhammad Aris Muhammad Irfan Muhammad Yunus Hi Abbas Mutmainnah Mutmainnah Mu’min Mu’min N Natih, Nyoman Metta N, Furqan Najamadidin, Najamuddin Najamuddin N Najamuddin Najamuddin, Najamuddin Nasir Haya Neviaty P Zamani Neviaty P Zamani NEVIATY PUTRI ZAMANI Ni Kadek Dita Cahyani, Ni Kadek Dita Novriyandi Hanif Nurdiansah, Doni Nyoman M N Natih Paembonan, Rustam E Paluphi, Raut Wahyuning R, Marenda Pandu Raden, Muhammad Sahlan R Rahimah, Insaniah Rahman Rahman Raismin Kotta Raismin Kotta Raismin Kotta Raismin Kotta Ramili, Yunita Rasidi, Rasidi Restu, Yunan Gilang Rikardo Huwae Rikardo Huwae Rikardo Huwae Rina Rina Rina Rina Riyadi Subur, Riyadi Rizqi, Marenda Pandu Rommy M. Abdullah Rommy M. Abdullah Rustam E Paembonan Rustam E Paembonan Rustam E Paembonan Rustam E Paembonan Rustam E Paembonan Rustam E Paembonan Rustam E Paembonan Rustam E Paembonan Rustam E Paembonan Rustam E Paembonan Rustam Effendi Rustam Effendi Rustam Effendi Paembonan Rustam Effendi Paembonan Rustam Effendi Paembonan Rustam Effendi Paembonan, Rustam Effendi S Baddu Sabar, Mesrawaty Sabaria Umalekhoa Salnuddin Salnuddin, Salnuddin Samad, Julkar Samria Abubakar Sani, Lalu M. Iqbal Sartini Baddu Serosero, Rugaya H Sidik, Marjanuddin A Simon I Patty Simon I Patty Simon I Patty Simon I Patty Simon I Patty Simon I Patty Simon I Patty Simon I. Patty Siolimbona, Abdul Ajiz Sunarti Suparto Abdullah Supyan Supyan Surahman Surahman Syafrizayanti, Syafrizayanti Taeran, Imran Wahab, Iswandi Waluyo Waluyo Wibowo, Eko S Wibowo, Eko Setyobudi Widhi, Raut Nugrahening Yadi D Naipon Yalindua, Fione Y Yidoatimojo, Sudibyo Yosie Andriani Yuyun Abubakar Zulham Apandy Harahap Zulhan A Harahap Zulhan A Harahap Zulhan A Harahap, Zulhan A Zulhan A. Harahap