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All Journal ILMU KELAUTAN: Indonesian Journal of Marine Sciences Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Jurnal Perikanan dan Kelautan The Journal of Experimental Life Sciences (JELS) Research Journal of Life Science Journal of Environmental Engineering and Sustainable Technology Jurnal Pembangunan dan Alam Lestari ECSOFiM (Economic and Social of Fisheries and Marine Journal) Geo-Image Journal JFMR (Journal of Fisheries and Marine Research) Jurnal Penelitian Pendidikan IPA (JPPIPA) International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Penyuluhan Perikanan dan Kelautan Soeropati: Journal of Community Service Abdi Geomedisains Jurnal Manusia dan Lingkungan Wisesa: Jurnal Pengabdian Masyarakat Journal of Fisheries & Marine Jurnal Perikanan dan Kelautan
Bambang Semedi
Department Of Marine Science, Faculty Of Fisheries And Marine Sciences, Universitas Brawijaya
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Study of Coral Reef Distribution in Pejarakan Waters, Bali Using Sentinel-2A Imagery Semedi, Bambang; Rijal, Seftiawan Samsu; Arviani, Dhika Anggi
Jurnal Perikanan dan Kelautan Vol. 29 No. 1 (2024): February
Publisher : Fakultas Perikanan dan Kelautan Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/

Abstract

The existence of coral reef ecosystems in Indonesia is a potential marine resource that needs to be preserved due to the many benefits of the coral reef ecosystem. Utilization of Sentinel-2A imagery for coral reef mapping can be done using two approaches, namely pixel-based and object-based. In this study, pixel-based classification and object-based classification are used to determine the dynamics of the distribution of coral reefs in the waters of Pejarakan Village, Bali, during the dry and rainy seasons. The data used are Sentinel-2A image data for 2018, 2020, and 2022 and field data used for the research accuracy test process. Field data was collected using the purposive sampling method, and the accuracy test process was carried out using the confusion matrix method. The data processing results using pixel and object classification show that classification using the object classification method is considered more accurate than pixel classification because it produces an accuracy value of up to 69.4%. Meanwhile, the pixel classification accuracy value is only 61.1%.
Pemetaan dan Analisis Kerugian Daerah Terdampak Banjir Rob di Kecamatan Kraksaan, Probolinggo Semedi, Bambang; Rachmansyah, Arief; Marjono, Marjono; Yanuwiadi, Bagyo; Afandhi, Aminudin; Bayuaji, Gerardus David Ady Purnama; Syam's, Nova Dewi Safitri; Diza, Novia Fara; Safitri, Ni Luh Eka; Hikmawati, Viona Faiqoh
Geo-Image Journal Vol 12 No 2 (2023): Vol 12 No 2 (2023): Geo-Image : Spatial - Ecological - Regional
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/geoimage.v12i2.66807

Abstract

Pemukiman di wilayah pesisir Kecamatan Kraksaan, Probolinggo berbatasan langsung dengan Selat Madura dan berpotensi tinggi terdampak banjir rob karena pasang tinggi tertinggi menyebabkan sungai meluap. Penelitian ini bertujuan untuk: (1) mengetahui ketinggian genangan banjir rob dan luas area tergenang banjir rob, (2) mengetahui dampak genangan banjir rob terhadap keruskanan bangunan, (3) mengetahui estimasi kerugian bangunan akibat banjir rob. Pemetaan genangan banjir rob menggunakan metode Hloss memanfaatkan data DEM, data citra Sentinel-2A, dan data pasang surut. Perhitungan estimasi kerugian bangunan menggunakan metode Damage and Loss Assessment (DaLA). Hasil penelitian menunjukan bahwa tinggi genangan banjir rob tahun 2021 adalah 2.33 meter dengan kategori bahaya rendah seluas 17.55 ha, kategori bahaya sedang seluas 15,33 ha, kategori bahaya tinggi seluas 12.49 ha. Bangunan terdampak genangan banjir rob pada tahun 2021 kategori bahaya rendah sebanyak 794 unit, kategori bahaya sedang sebanyak 400 unit, kategori bahaya tinggi sebanyak 538 unit, dan total 1732 unit yang mengalami rusak ringan. Kerugian bangunan rumah permanen adalah Rp9,886,758,206, kerugian bangunan perdagangan dan jasa adalah Rp9,688,495,305, kerugian bangunan industri dan gudang Rp16,866,202,723, kerugian bangunan tempat ibadah adalah Rp121,355,451, dan kerugian bangunan kantor pemerintah adalah Rp227,541,470. Total kerugian bangunan terdampak genangan banjir rob di Kecamatan Kraksaan pada tahun 2021 adalah Rp36,790,353,155.
Analysis of Coastline Changes in Palu Bay, Central Sulawesi after the 2018 Tsunami Based on Sentinel 1 Satellite Imagery Using the Digital Shoreline Analysis System (DSAS) Method Fuad, Mochamad Arif Zainul; Hardiansyah, Fikri; Semedi, Bambang
Jurnal Perikanan dan Kelautan Vol. 27 No. 3 (2022): October
Publisher : Fakultas Perikanan dan Kelautan Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/

Abstract

The Palu-Donggala earthquake that occurred on September 28, 2018 caused additional disasters in the form of liquefaction and tsunami. The tsunami that hit the coastal area of ​​Palu Bay caused considerable damage, indicating a change in the coastline. The purpose of this study was to determine the changes in the coastline that occurred in Palu Bay, Palu City, Central Sulawesi as a result of the Tsunami. The data used in this study are Sentinel 1 satellite imagery before and after the Tsunami occurred. The coastline at each time is obtained from the extraction of Sentinel 1 satellite imagery. Analysis of shoreline change uses quantitative descriptive techniques with the help of the DSAS tool with change analysis based on the Net Shoreline Movement (NSM) method which is integrated with ArcGIS software. The results show that there has been a significant change in the coastline in Palu Bay, Palu City, Central Sulawesi. Coastline changes that occur are in the form of abrasion and accretion conditions, but are more dominated by abrasion. The highest abrasion of -167.53m is found on transect 309 which is located in the District of Mantikulore, and the lowest abrasion value of -0.43m is found on transect 242 which is located in the Ulujadi District. Meanwhile, the highest accretion value of 47.27m is found on transect 105 which is located in the West Palu District, and the lowest abrasion value of 0.56m is found on transect 68 which is also located in the West Palu District. The magnitude of the change in coastline that occurred in Palu Bay, Palu City, Central Sulawesi after the Tsunami was influenced by the openness of the coastal area to wave blows, the oval and narrow morphology of Palu Bay and the occurrence of ground deformation in the Palu-Koro Fault.
Habitat Suitability Modeling Based on Oceanographic Factors for Yellowfin Tuna (Thunnus albacares) Fishing Grounds in the Southern Waters of Java Semedi, Bambang; Diza, Novia Fara; Sari, Syarifah Hikmah Julinda; Wiadnya, Dewa Gede Raka; Lelono, Tri Djoko; Setyohadi, Daduk; Harlyan, Ledhyane Ika; Rahman, Muhammad Arif; Lee, Ming-An
ILMU KELAUTAN: Indonesian Journal of Marine Sciences Vol 30, No 2 (2025): Ilmu Kelautan
Publisher : Marine Science Department Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/ik.ijms.30.2.163-173

Abstract

The southern waters of Java are suitable to be the largest supplier of Yellowfin tuna exports in Indonesia, but have not efficiently produced the expected yield. This research minimizes these constraints by modeling the yellowfin tuna fishing grounds in the southern waters of Java based on oceanographic factors such as Sea Surface Temperature (SST), chlorophyll-a (CHL_A), Sea Surface Salinity (SSS), Sea Surface Height (SSH) using an integration between remote sensing, Geographic Information Systems (GIS), and the Generalized Additive Model (GAM) statistical method. This study used oceanographic factor data from Aqua MODIS Level-3 and Copernicus, while yellowfin tuna fishery production was obtained from Palabuhanratu Nusantara Fishing Port (NFP), Cilacap Ocean Fishing Port (OFP), and Pondokdadap Coastal Fishing Port (CFP). The modeling process used 80% of the data, while the remaining 20% was used to validate the model results. The order of influence of oceanographic parameters from largest to smallest is SST > SSS > SSH > CHL-A. The best model from the GAM analysis showed that the combination of four oceanographic parameters had the greatest influence on yellowfin tuna CPUE. The catch per unit effort (CPUE) of yellowfin tuna was predicted to be high in May-October and low in November-April. The prediction model had high accuracy because most of the fishing activity was in the HSI 0.4-0.5 range and the RMSEP value was 0.63. Yellowfin tuna were suitable in habitats distributed from inshore to offshore in June and July, but less suitable in December.  
Analysis of Coastline Changes in Palu Bay, Central Sulawesi after the 2018 Tsunami Based on Sentinel 1 Satellite Imagery Using the Digital Shoreline Analysis System (DSAS) Method Fuad, Mochamad Arif Zainul; Hardiansyah, Fikri; Semedi, Bambang
Jurnal Perikanan dan Kelautan Vol. 27 No. 3 (2022): October
Publisher : Fakultas Perikanan dan Kelautan Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/

Abstract

The Palu-Donggala earthquake that occurred on September 28, 2018 caused additional disasters in the form of liquefaction and tsunami. The tsunami that hit the coastal area of ​​Palu Bay caused considerable damage, indicating a change in the coastline. The purpose of this study was to determine the changes in the coastline that occurred in Palu Bay, Palu City, Central Sulawesi as a result of the Tsunami. The data used in this study are Sentinel 1 satellite imagery before and after the Tsunami occurred. The coastline at each time is obtained from the extraction of Sentinel 1 satellite imagery. Analysis of shoreline change uses quantitative descriptive techniques with the help of the DSAS tool with change analysis based on the Net Shoreline Movement (NSM) method which is integrated with ArcGIS software. The results show that there has been a significant change in the coastline in Palu Bay, Palu City, Central Sulawesi. Coastline changes that occur are in the form of abrasion and accretion conditions, but are more dominated by abrasion. The highest abrasion of -167.53m is found on transect 309 which is located in the District of Mantikulore, and the lowest abrasion value of -0.43m is found on transect 242 which is located in the Ulujadi District. Meanwhile, the highest accretion value of 47.27m is found on transect 105 which is located in the West Palu District, and the lowest abrasion value of 0.56m is found on transect 68 which is also located in the West Palu District. The magnitude of the change in coastline that occurred in Palu Bay, Palu City, Central Sulawesi after the Tsunami was influenced by the openness of the coastal area to wave blows, the oval and narrow morphology of Palu Bay and the occurrence of ground deformation in the Palu-Koro Fault.
Seagrass Ecosystem Assesment for Dugong Conservation: Integrating Anthropogenic Activites and Oceanographic Parameters in East Java’s Coastal Waters Dewi, Citra Satrya Utama; Ciptadi, Gatot; Wahyudi, Slamet; Wiadnya , Dewa Gede Raka; Semedi, Bambang; Sukandar, Sukandar; Isdianto, Andik; Sunuddin, Adriani; Herandarudewi, Sekar Mira; Tarno, Hagus
Jurnal Ilmiah Perikanan dan Kelautan Vol. 17 No. 3 (2025): JURNAL ILMIAH PERIKANAN DAN KELAUTAN
Publisher : Faculty of Fisheries and Marine Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jipk.v17i3.71841

Abstract

Graphical Abstract   Highlight Research 1. The study successfully identified the utilization of coastal and marine areas within the research site. 2. Oceanographic parameters across the study area have been analyzed, providing insights into variations in environmental conditions favoring seagrass ecosystem resilience. 3. The structure of seagrass vegetation has been thoroughly observed, revealing differences in species composition, density, and coverage. 4. Furthermore, the study establishes the connectivity between coastal and marine spatial utilization, oceanographic factors, and seagrass ecosystem dynamics, highlighting their interdependent relationships.     Abstract This study aims to assess the ecological status of seagrass meadows and their relationship with dugong (Dugong dugon) habitats across four distinct ecological regions in East Java, Indonesia. Field assessments were conducted to evaluate seagrass community structure, oceanographic parameters, and the intensity of human activities. Seagrass distribution was mapped using Sentinel-2A satellite imagery, while seagrass health was evaluated through the Seagrass Ecological Quality Index (SEQI) and Importance Value Index (IVI). Statistical analyses, including Analysis of Variance (ANOVA) and Principal Component Analysis (PCA), were employed to identify significant differences and key environmental drivers. The results revealed marked spatial variation in oceanographic characteristics and seagrass coverage (p < 0.05). PCA showed that anthropogenic factors—particularly marine space utilization such as aquaculture and coastal development—were major contributors to seagrass degradation. Elevated nutrient concentrations were also associated with declining seagrass health, indicating land-based pollution as a dominant stressor. These findings underline the urgent need for integrated coastal zone management. Strengthening conservation policies, reducing terrestrial runoff, and implementing sustainable marine spatial planning are critical to safeguard seagrass ecosystems and ensure the long-term survival of dugong populations in Indonesian waters.
PEMANFAATAN DATA CITRA SATELIT SENTINEL-2 UNTUK ASESMEN HABITAT DASAR PERAIRAN PANTAI SELATAN SEMPU KABUPATEN MALANG Semedi, Bambang; Syukron B, Alif Rofiq; Lutfi, Oktyas Muzaky
JFMR (Journal of Fisheries and Marine Research) Vol. 3 No. 2 (2019): JFMR
Publisher : Faculty of Fisheries and Marine Science, Brawijaya University, Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2019.003.02.19

Abstract

Terumbu karang merupakan ekosistem yang memiliki peranan penting dalam suatu perairan, ekosistem ini banyak tersebar di perairan dangkal indonesia. Keberadaan ekosistem terumbu karang pada suatu perairan saat ini mengalami penurunan, sehingga perlu dilakukan pemantauan ekosistem terumbu karang  untuk mengetahui distribusi ekosistem terumbu karang tersebut, hal tersebut bertujuan untuk memudahkan pemulihan ekosistem terumbu karang yang mengalami kerusakan. Penginderaan jauh dari satelit merupakan pendekatan alternatif dalam pengamatan terumbu karang tetapi perlu dilakukan validasi dilapangan untuk melihat akurasi dari citra satelit. Pengamatan ini menggunakan data citra satelit Sentinel-2 dengan resolusi 10 meter untuk melihat distribusi terumbu karang di wilayah perairan Pulau Sempu.  Pengamatan  citra satelit ini menerapkan persamaan algoritma lyzenga untuk mengurangi dampak redaman kolom air secara empiris. Pengamatan yang dilakukan dilapangan diantaranya pengukuran tutupan terumbu karang menggunakan point intercept transect (PIT) dan pengukuran kualitas perairan pada perairan. Hasil validasi data citra satelit sentinel 2 didapatkan nilai akurasi sebesar 70.526%. Kondisi tutupan karang pada Pulau Sempu dikategorikan dalam tutupan karang yang sedang hingga baik yaitu sekitar 26.3% hingga 41% dan kesesuaian parameter kualitas perairan dengan kondisi terumbu karang pada lokasi pegamatan mempunya kesesuaian yang cukup baik. Kata Kunci: Penginderaan Jauh, Pulau Sempu, Sentinel 2, Terumbu Karang
OCEANOGRAPHIC VARIABILITY ANALYSIS USING GIS AND GAM FOR POTENTIAL FISHING ZONE MAPPING OF BIG EYE TUNA (Thunnus obesus) Semedi, Bambang; ., Hardoko; Agatha, Laily Septiani
JFMR (Journal of Fisheries and Marine Research) Vol. 5 No. 1 (2021): JFMR
Publisher : Faculty of Fisheries and Marine Science, Brawijaya University, Malang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jfmr.2021.005.01.22

Abstract

Southern Waters of Java Island are 573 fisheries management zones, the Big Eye Tuna (Thunnus obesus) commodity is one of fish that has high economic value. There are oceanographic factors affect fish distribution of Big Eye Tuna (Thunnus obesus) such as sea surface temperature, chlorophyll-a, and depth. The data research of Big Eye Tuna fishing zone was obtained from PPSC with data description were year, month, day, number of trips, and number of fish caught around 2018-2019. Oceanographic data used from citra satellite Aqua MODIS for sea surface temperature and chlorophyll-a, and citra satellite ETOPO-1 for depth, by using GAM statistical analysis by looking at the lowest AIC value and the largest CDE value of 7 combined models of oceanographic parameters. The results obtained from statistical analysis using the GAM which was very influential in determining the potential zone for the fishing of Big Eye Tuna (Thunnus obesus) showed that a combination of sea surface temperature + chlorophyll - a + depth with an AIC value of 28840.02 and CDE of 11.1%, with the results Oceanographic parameters optimum sea surface temperature was 25 ° C- 30 ° C, for chlorophyll - a 0.08 - 0.30 mg / m3, and for an average depth of 3500m. The depth parameter had a less positive influence because the Cilacap fishermen used FADs for the fishing area of Big Eye Tuna. The distribution area of Big Eye Tuna (Thunnus obesus) in the Southern of Java Island is at latitude (-7.3 °) - (-14.83 °) and longitude 102 ° - 115.25 °.
ASSESSMENT OF MANGROVE DIVERSITY, BIOMASS, AND CARBON STOCKS IN THE UJUNGPANGKAH ESTUARY, GRESIK Fathah, Aulia Lanudia; Semedi, Bambang; Wardana, Fitri Candra; Isdianto, Andik
Journal of Environmental Engineering and Sustainable Technology Vol 12, No 1 (2025)
Publisher : Directorate of Research and Community Service (DRPM)

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Abstract

Mangrove ecosystems are recognized as vital blue carbon reservoirs that contribute significantly to climate regulation through biomass-based carbon storage. This study assessed mangrove diversity, structure, biomass, and carbon stocks in two key locations: Banyuurip Mangrove Center (BMC) and Lewean Mangrove Park (LMP), located in the Ujungpangkah Estuary, Gresik. Data were collected from 15 rectangular plots (10 × 10 m) to determine species composition, tree density, Importance Value Index (IVI), above and belowground biomass, and estimated carbon stocks using standard allometric equations. A total of 12 mangrove species were identified, with Avicennia marina emerging as the dominant species in all growth stages across both sites. Tree density varied from 100 to 1,600 trees/ha, reflecting stages of regeneration rather than degradation. The highest IVI values were recorded for A. marina (196.3% in BMC; 146% in LMP). Total biomass and estimated carbon stock were higher in BMC (340.48 Mg/ha; 164.87 Mg C/ha) compared to LMP (125.67 Mg/ha; 56.20 Mg C/ha), primarily due to differences in species dominance and stand maturity. These results underline the ecological and climate mitigation significance of maintaining mangrove diversity and biomass. The study supports the integration of mangrove conservation into blue carbon strategies for sustainable coastal management, and recommends strengthening local restoration initiatives based on dominant species performance.
SEASONAL DYNAMICS OF ENSO IMPACT ON SEA SURFACE TEMPERATURE VULNERABILITY IN THE MADURA STRAIT COAST, INDONESIA Widagdo, Supriyatno; Semedi, Bambang; Firdaus, Muhamad
Journal of Environmental Engineering and Sustainable Technology Vol 12, No 1 (2025)
Publisher : Directorate of Research and Community Service (DRPM)

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Abstract

The El Niño-Southern Oscillation (ENSO) is a dominant climate phenomenon affecting the global oceanographic system; however, understanding of the seasonal variability of its impact on semi-enclosed waters, such as the Madura Strait, remains limited. This knowledge gap is crucial because the Madura Strait has complex bathymetric characteristics and is a strategic area for coastal economic activity in Indonesia. This study aimed to analyze the seasonal dynamics of ENSO's influence on coastal vulnerability in the Madura Strait. The study used secondary CMEMS data for sea surface temperature, salinity, and chlorophyll-a for the period 2019-2024, covering neutral, El Niño, and La Niña phases. The analysis was conducted using Ocean Data View spatial visualization, descriptive statistics, and hierarchical cluster analysis, dividing the region into three geographic zones: western, central, and eastern. ENSO exhibits a varying seasonal influence with a bimodal pattern correlated with the monsoon cycle. Sampang emerged as a vulnerability hotspot with an extreme anomaly of -1.4°C. The western zone exhibits high resistance, the central zone is most responsive, and the eastern zone is highly vulnerable. El Niño dominated the three seasons, whereas La Niña dominated the early transitional season. The coastal vulnerability of the Madura Strait to ENSO is spatially and temporally heterogeneous, with distinct zoning. These findings provide a scientific basis for zoning-based adaptation strategies and early warning systems in Indonesia's strategic coastal areas.Keywords: ENSO, seasonal variability, coastal vulnerability, Madura Strait
Co-Authors Abdul Qadir Jailani Abdul Qadir Jailani, Abdul Qadir Abu Bakar Sambah, Abu Bakar Adriani Sunuddin Agatha, Laily Septiani Aida Sartimbul Alim, Dimas Syarif Aliviyanti, Dian Amin Setyo Leksono Aminudin Afandhi Aminudin Afandhi Andik Isdianto Anita, Yuli Arief Darmawan Arief Rachmansyah Arviani, Dhika Anggi As'adi, Muhammad Arif Azura Ulfa, Azura Bagyo Yanuwiadi Bagyo Yanuwiadi Bayuaji, Gerardus David Ady Purnama Bunga Hidayati Citra Satrya Utama Dewi Daduk Setyohadi David Ady Purnama Bayuaji, Gerardus Defri Yona Dewa Gede Raka Wiadnya Dewi Safitri Syam’s, Nova Dewi, Citra Satrya Utama Dewi, Setya Nuri Fatma Dhika Anggi Arviani Diana Arfiati Dirman, Eris Nur Diza, Novia Fara Endang Yuli Herawati Fadli, Moh. Faiqoh Hikmawati , Viona Faisal Akmal, Faisal Fara Diza, Novia Fathah, Aulia Lanudia Fatimah A., Putri Dila Nur Feni Iranawati, Feni Fikri Hardiansyah Fikri Hardiansyah Fuad, Mochamad Arif Zainul Gala Kurnia Handawijaya Gatot Ciptadi Hagus Tarno Handawijaya, Gala Kurnia Hardiansyah, Fikri Hardoko . Hardoko Hardoko Hardoko Hardoko Harry Irawan Johari Harsuko Riniwati Herandarudewi, Sekar Mira Hikmawati, Viona Faiqoh ISWAHYUDI ISWAHYUDI Laily Septiani Agatha Ledhyane Ika Harlyan Lee, Ming-An Luh Eka Savitri, Ni Lutfi, Oktyas Muzaky Mandhalika, Vianta Marjono Marjono Marjono Marjono, Marjono Melati Julia Rahma Mimit - Primyastanto Mochamad Arif Zainul Fuad Mochamad Arif Zainul Fuad Mohammad Arif Asadi Mohammad Fadli Mohammad Mahmudi Mohammad Qodri Fitra Muhamad Firdaus Muliawati Handayani Novia Fara Diza Nuddin Harahab Nur Maulida Safitri Oktiyas Muzaky Lutfi oktiyas muzaky Luthfi, oktiyas muzaky Parmawati, Rita Putri Dila Nur Fatimah A. Putri Dila Nur Fatimah Afionita Qomariyatus Sholihah Rahman, Muhammad Arif Rarasrum Dyah Kasitowati Rarasrum Dyah Kasitowati, Rarasrum Dyah Ratno Bagus Edy Wibowo Rita Parmawati Rudianto Rudianto Rudianto Safitri, Ni Luh Eka Saputra, Dhira Kurniawan Seftiawan Samsu Rijal Seftiawan Samsu Rijal, Seftiawan Samsu Setya Nuri Fatma Dewi Setya Nuri Fatma Dewi Slamet Wahyudi Solimun, Solimun Sukandar Sukandar Sukuryadi, Sukuryadi Sulastri Arsad Syam's, Nova Dewi Safitri Syarifah Hikmah Julinda Sari Syukron B, Alif Rofiq Tri Djoko Lelono Tri Furi Megawati Wardana, Fitri Candra Wiadnya , Dewa Gede Raka Widagdo, Supriyatno Wijaya, Aphrodita Shelbyla Wirastika Adhihapsari