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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 Mochamad Arif Zainul Fuad; Fikri Hardiansyah; Bambang Semedi
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/jpk.27.3.304-312

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
Land Tenure of Forest Fringe Communities and Their Impact on Deforestation: A Case Study in Soeharto Forest Park Tri Furi Megawati; Bambang Semedi; Aminudin Afandhi
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 20, No 2 (2023): July 2023
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v20i2.417-427

Abstract

Soeharto Forest Park is a forest area located in East Kalimantan, Indonesia. Soeharto Forest Park has an area of about 61,840 hectares and is one of the critical forest areas in Indonesia. Soeharto Forest Park primarily serves as a conservation area and nature preservation. It contains high biodiversity, including various species of flora and fauna that are protected. The research methods involve field surveys, structured interviews, and secondary data analysis. Data was collected to understand community land tenure, including tenure rights, land use, and agricultural practices. In addition, deforestation impacts are identified through mapping land cover change and vegetation density analysis. It is just that over time, the connection of the surrounding community with Soeharto Forest Park is very high. Many people use the Forest Park area to become open land. This lasted from 1957 until 2022. The total land area of Soeharto Forest Park that has been opened is 335,994 m2 or 33,6 hectares. Many communities on the outskirts of Soeharto Forest Park that cleared land and used it as settlements, plantations, and rice fields from 1957 to 2022 highlights the deforestation in land use around the area over a long period. These changes reflect social, economic, and policy dynamics that affect local communities and the surrounding environment.
STUDI KELAYAKAN LAHAN BUDIDAYA RUMPUT LAUT Eucheuma cottonii di KECAMATAN BLUTO SUMENEP MADURA JAWA TIMUR (Feasibility Study of Eucheuma Cottonii Seaweed Farming in Bluto Subdistric of Sumenep Madura East Java) Abdul Qadir Jailani; Endang Yuli Herawati; Bambang Semedi
Jurnal Manusia dan Lingkungan Vol 22, No 2 (2015): Juli
Publisher : Pusat Studi Lingkungan Hidup Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jml.18744

Abstract

ABSTRAKBudidaya rumput laut di Kecamatan Bluto, Kabupaten Sumenep, Jawa Timur, mempunyai kontribusi bagi perekonomian masyarakat pesisir, akan tetapi terdapat kegiatan perikanan seperti penangkapan dan pengolahan hasil laut yang berdampak pada degradasi kualitas air yang berpengaruh langsung kepada hasil produksi rumput laut. Tujuan dari penelitian ini adalah untuk mengetahui lokasi baru pengembangan kegiatan budidaya rumput laut secara berkelanjutan yang terbebas dari kegiatan masyarakat dengan melihat faktor ekologis dan daya dukung perairan di Kecamatan Bluto. Metode yang digunakan mengukur kesesuaian ekologis meliputi suhu, kecerahan, kedalaman, kecepatan arus, kondisi dasar perairan, salinitas, DO, nitrat, ortofosfat, pH, BOD, dan COD, serta estimasi hama dan penyakit rumput laut. Selanjutnya data diskoring untuk menentukan kelas kesesuaian dengan pendekatan SIG. Daya dukung perairan di analisis dengan menghitung 60% dari jumlah kawasan yang sesuai. Hasil penelitian menunjukkan bahwa perairan Bluto memiliki potensi lahan pengembangan rumput laut berdasarkan kelas S1 (sangat sesuai) dan S2 (sesuai bersyarat) seluas 770,19 ha, dan mampu menampung maksimal 42.788 unit rakit rumput laut. Hama dan penyakit yang teridentifikasi di perairan Bluto adalah ikan baronang (Siganus. sp), ice-ice, lumut (Chaetomorpha crassa), dan teritip (Chthamalus stellatus). ABSTRACTSeaweed farming in the subdistrict Bluto, District Sumenep, East Java, has significant contribution in the economy of coastal communities, but there are fishing activities like catching up and marine product proccessing that have negative impact to the degradation of water quality and then directly affect the production of seaweed. The purpose of this study is find new location of the development of seaweed farming activities in a sustainable manner that is free from of community activities with a view of ecological factors and carrying capacity of the waters in the analies of the subdistrict Bluto. The method was used to analyze its ecological suitability includes temperature, transparency, depth, current velocity, bottom water condition, salinity, DO, Nitrite, ortophosphate, pH, BOD, and COD, also evaluation of the predators and diseases seaweed. Then, the data is scored to determine its suitability class with SIG approach. Environmental carrying capacity is analyzed by determining 60% of suitable sites. The result showed that Bluto territorial waters was potential for seaweed farming development as it was in Class S1(very suitable) and S2 (suitable with conditions) about 770.19 ha and able to contain maximum 42,788 units of seaweed floated bamboos. Predators and diseases identified in Bluto waters are rabbitfishes (Siganus. sp), ice-ice disease, green algae (Chaetomorpha crassa), and Poli’s stellate barnacle (Chthamalus stellatus).
Socio-Spatial Analysis of Deforestation in Soeharto Forest Using Remote Sensing Method Tri Furi Megawati; Melati Julia Rahma; Bambang Semedi; Aminudin Afandhi
Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Vol 21, No 1 (2024): March 2024
Publisher : Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/presipitasi.v21i1.174-183

Abstract

The broader transformation of forested areas into open land is commonly referred to as deforestation. Deforestation poses a significant challenge to forest preservation and environmental sustainability. This study aims to employ remote sensing methods to analyze the spatial patterns of deforestation in the Soeharto Forest. It is complemented by in-depth interview data gathered from individuals engaged in forest exploitation activities. The findings reveal a notable decline in land cover within the Soeharto Forest Park area from 1992 to 2022, resulting in a reduction to 335,994,000,000 m2. Further analysis of the in-depth interview data indicates that forest fringe communities have taken control of 15,536,393.69 m2 of land to fulfill their livelihood and cultivation needs. The decline in land cover will also be more critical because of moving the national capital. The research results also discussed land cover areas using remote sensing. However, social support discusses whether land cover change is caused by land tenure by forest fringe communities and plans to relocate the national capital. Where this is also influenced by the formulation of government policies that have not balanced bee interests of ecology and the social culture ture of the community. 
GAM (Generalized Additive Model) Analysis for Predicting Potential Area of Lemuru in Bali Strait Semedi, Bambang; Hardoko, Hardoko; Dewi, Setya Nuri Fatma; Fatimah A., Putri Dila Nur
JFMR (Journal of Fisheries and Marine Research) Vol. 6 No. 1 (2022): JFMR on April
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.2022.006.01.5

Abstract

Lemuru is a potential fish in the Bali strait with 80% of the total catch. The fishing process is determined by the efficiency and effectiveness of improving the fishing area.  However, the lack of awareness of fishing areas by fishermen tend to be less optimal, waste of time and fuel. One of the alternatives is to use remote sensing data.  Fishing areas information can be obtained through oceanographic parameters. Sea surface temperature and chlorophyll-a are main factor determined fishing areas. This study aims to predict the fishing area of S. lemuru using GAM (Generalized Additive Model) analysis, the results of this model can show a range of oceanographic factors that significantly explain high fishing related to marine environmental parameters. Fishing data and coordinates were obtained from PPP Muncar, Banyuwangi on May 2021. Data used is from fishing data around two years in Bali strait. The optimum value of chlorophyll-a Lemuru fishing is at 0.1- 1.2 mg m-3 and sea surface temperatures around 27 - 31°C. According to GAM statistical modelling, the most appropriate fishing area was data combination among data fishing, sea surface temperature of AIC and CDE AIC around 23044.21, and CDE 8.18%.  The whole area of Bali strait is Lemuru fish distribution yet located in different areas each season such as west season at latitude (-8.26°)-(-8.59°) longitude (114.466°)-(114.449°), east season at latitude (-8.74°)-(-8.70°) longitude (114.299°)-(114.187°), while in transition season 1 at latitude (-8.50°)-(-8.78°) longitude (114.819°)-(115.070°) and season 2 at latitude (-8.27°)-(-8.56°) longitude (114.742°)-(114.819°
PEMANFAATAN GOOGLE EARTH ENGINE UNTUK MEMANTAU PERUBAHAN LUASAN HUTAN MANGROVE DI PROBOLINGGO: APPLICATION OF GOOGLE EARTH ENGINE FOR MONITORING MANGROVE FOREST CHANGES IN PROBOLINGGO Semedi, Bambang; Marjono; Luh Eka Savitri, Ni; Faiqoh Hikmawati , Viona; David Ady Purnama Bayuaji, Gerardus; Dewi Safitri Syam’s, Nova; Fara Diza, Novia
JFMR (Journal of Fisheries and Marine Research) Vol. 7 No. 2 (2023): JFMR on August
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.2023.007.02.9

Abstract

Mangrove merupakan tumbuhan intertidal yang memilki peran ekologi, fisik, dan sosial ekonomi untuk daerah pesisir. Mangrove di Indonesia menunjukkan penurunan kondisi seiring berjalannya waktu, termasuk di wilayah Probolinggo, Jawa Timur. Faktor utama yang memicu berkurangnya mangrove yaitu aktivitas manusia yang mengubah area mangrove menjadi tambak, permukiman, dan sebagainya. Oleh karena itu, penelitian ini bertujuan untuk memantau tutupan mangrove di Probolinggo melalui integrasi penginderaan jauh dan sistem informasi geografis sebagai bentuk kontribusi dalam kegiatan pemantauan yang diharapkan dapat menjadi acuan dalam penentuan arah pengelolaan mangrove. Luas mangrove dianalisis dari citra Sentinel 2A menerapkan indeks vegetasi Normalized Difference Vegetation Index (NDVI) yang diolah menggunakan Google Earth Engine (GEE). Hasil penelitian menunjukkan terjadi perubahan luas mangrove di Probolinggo setiap tahunnya. Total luas mangrove tertinggi terjadi pada tahun 2020 bernilai 687,15 Ha dan nilai luas mangrove terendah terjadi pada tahun 2022 sebesar 241,13 Ha. Nilai NDVI tertinggi selama tahun 2019-2023 memiliki nilai paling besar 0,87 (rapat) pada tahun 2020-2021 dan nilai paling kecil 0,55 (jarang) pada tahun 2022. Hasil uji akurasi memiliki nilai Overall Accuracy sebesar 86% sehingga hasil klasifikasi sebaran mangrove dari citra Sentinel 2A menggunakan indeks vegetasi NDVI di Probolinggo dapat diterima. Akan tetapi, penambahan sampel uji akurasi masih diperlukan supaya dapat menghasilkan tingkat akurasi yang lebih baik.   Mangroves are intertidal plants that have ecological, physical, and socioeconomic roles for coastal areas. Mangroves in Indonesia show a decline in condition over time, including in the Probolinggo region, East Java. The main factor that triggers mangrove decline is human activities that convert mangrove areas into ponds, settlements, etc. Therefore, this study aimed to monitor mangrove cover in Probolinggo through the integration of remote sensing and geographic information systems as a way of monitoring activities that are expected to be a reference in determining the direction of mangrove management. The mangrove area was analyzed from Sentinel 2A imagery applying the Normalized Difference Vegetation Index (NDVI) processed using Google Earth Engine (GEE). The results showed that there were changes in mangrove area in Probolinggo every year. The highest total mangrove area occurred in 2020 amounting to 687.15 Ha and the lowest total mangrove area occurred in 2022 amounting to 241.13 Ha. The highest NDVI value during 2019-2023 had the greatest value of 0.87 (dense) in 2020-2021 and the smallest value of 0.55 (sparse) in 2022. The accuracy test results had an Overall Accuracy value of 86% so that the classification results of mangrove distribution from Sentinel 2A images using the NDVI vegetation index in Probolinggo were acceptable. However, additional accuracy test samples are still needed to produce a better accuracy level.
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 : Faculty of Fisheries and Marine, Universitas Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31258/jpk.29.1.118-124

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 Kesesuaian Kawasan Konservasi Mangrove di Gunung Piting Mangrove Conservation (GPMC), Pantai Tamban, Kabupaten Malang Wijaya, Aphrodita Shelbyla; Semedi, Bambang; Iswahyudi, Iswahyudi; Alim, Dimas Syarif
Jurnal Penyuluhan Perikanan dan Kelautan Vol 18, No 1 (2024)
Publisher : Program Studi Penyuluhan Perikanan Politeknik Ahli Usaha Perikanan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33378/jppik.v18i1.443

Abstract

Konservasi ekosistem mangrove diperlukan karena adanya manfaat yang dapat diperoleh dengan mempertahankan setiap komponen lingkungannya. Dalam membatasi pemanfaatan yang berlebihan dan mencegah kerusakan alam perlu dilakukan perhitungan daya dukung kawasan. Penelitian ini di lakukan di Gunung Piting Mangrove Conservation (GPMC) Pantai Tamban, Kabupaten Malang, wilayah ini memiliki potensi mangrove yang besar dan jenis yang beragam. Data yang digunakan adalah data citra sentinel-2A yang dianalisis dengan pengindraan jauh, sistem informasi geografis (SIG) serta indeks vegetasi NDVI agar lebih efektif dan efisien. NDVI (normal difference vegetation index) digunakan untuk membedakan objek vegetasi mangrove dengan non-mangrove. Data citra satelit diunduh melalui situs resmi https://scihub.copernicus.eu/ sebagai penyedia data citra satelit. Penelitian ini bertujuan untuk menganalisis kesesuaian lokasi penelitian sebagai kawasan konservasi mangrove untuk mengurangi risiko degradasi ekosistem mangrove dan memberikan masukan dalam penyusunan rencana pengelolaan kawasan konservasi mangrove. Hasil penelitian menunjukkan bahwa kawasan Gunung Piting Mangrove Conservation (GPMC) dinilai sesuai untuk dijadikan sebagai kawasan konservasi mangrove karena hasil analisis kesesuaian lahan BAIK dan memenuhi kriteria indeks kesesuaian lahan dengan kategori sesuai (S2).
THE INTRODUCTION TO DANGEROUS MARINE BIOTA COMMUNITIES IN KONDANG MERAK, MALANG Dewi, Citra Satrya Utama; Saputra, Dhira Khurniawan; Semedi, Bambang; As'adi, Muhammad Arif; Kasitowati, Rarasrum Dyah; Rudianto; Sartimbul, Aida; Iranawati, Feni
Wisesa: Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2023): WISESA - Jurnal Pengabdian Masyarakat
Publisher : UPT. PKM UB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.wisesa.2023.02.1.2

Abstract

Nelayan, merupakan profesi dengan resiko keselamatan yang tinggi, baik resiko yang bersifat human error maupun alami, seperti cuaca ekstrim dan biota laut berbahaya. Tujuan dari aktivitas pengabdian kepada masyarakat ini ialah untuk mentransformasikan ilmu pengetahuan terkait biota laut berbahaya kepada nelayan di Kondang Merak. Keberhasilan dari kegiatan pengabdian masyarakat ini kemudian disampaikan dalam bentuk analisis persepsi nelayan kondang merak terhadap biota laut berbahaya. Metode yang digunakan dalam kegiatan ini ialah penyuluhan langsung. Selanjutnya pengumpulan data untuk analisis persepsi dilakukan dg menggunakan kuisioner, selanjutnya data dikuantitafkan menggunakan metode skala likert, kemudian dideskripsikan. Penyuluhan ini dihadiri oleh 15 orang nelayan, atau 50% dari populasi nelayan di kondang merak. Jenis niota berbahaya yang sering dijumpai nelayan Kondang Merak ialah: hiu kecil, barakuda, lepu batu, bulu babi, mooray, ular laut, dan COT. 90% nelayan yang hadir telah mengetahui beberapa jenis biota berbahaya, namun hanya 30% nelayan yang mengetahui bagaimana cara mengantisipasi dan menanggulanginya. Sehingga, selanjutnya dirasa penting untuk memberikan Pelatihan Dasar Rescue Kepada Nelayan Kondang Merak.
The Effectiveness of Regulation in Improving the Fishing Port Services Dirman, Eris Nur; Riniwati, Harsuko; Harahab, Nuddin; Semedi, Bambang; Rachmansyah, Arief
Jurnal Pembangunan dan Alam Lestari Vol. 15 No. 2 (2024): Jurnal Pembangunan dan Alam Lestari
Publisher : Postgraduate School of Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.jpal.2024.015.02.02

Abstract

Indonesia is a maritime nation with a potential economy in the fishing sector. However, the sustainability of Indonesia's fishing sector is facing many challenges, such as overfishing, illegal fishing activities, and the degradation of marine habitats. The fishing ports play a significant role in overcoming these challenges. Therefore, the government has developed several regulations to ensure the fisheries ports provide a safe and efficient way for fishing activities, an economic center for many coastal communities, and sustainable fishing operations. There is a need to assess the effectiveness of these regulations; hence, this research aims to analyze the effectiveness of regulation in improving the services in the fishing ports. The method of stratified random sampling in proportion was conducted to select 291 participants of administrative offices, fishing companies, and fisherman organizations from 6 fishing ports in east Java Province. This research used structural equation modeling (SEM) as a comprehensive approach to assessing the effectiveness of regulation in fishing ports. The result found that the regulation variable has a significant relationship with port services that = 5.099 (p<0,001). The analysis showed that the regulation variable indirectly affects the port services variable through infrastructure, economy, and social community variables (p<0,001). Furthermore, the result recommended that the regulation will enhance port services by improving the physical infrastructure of the port, boosting the local economy, and benefiting the social community. These findings have significant implications for the fishing industry, as they demonstrate the potential for regulations to improve the efficiency and sustainability of fishing port services. Keywords: Effective, Fishing port, Regulation, Structural equation modeling, Port services
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 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 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 Qodri Fitra, Mohammad 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 Yuli Anita