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All Journal HAYATI Journal of Biosciences Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Ilmu Pertanian Indonesia Jurnal Hortikultura Indonesia (JHI) Agromet Forum Pasca Sarjana Indonesian Journal of Geography Jurnal Kependidikan: Penelitian Inovasi Pembelajaran Jurnal Agrista AGRIVITA, Journal of Agricultural Science Journal of Mathematical and Fundamental Sciences Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal EnviroScienteae JPT : JURNAL PROTEKSI TANAMAN (JOURNAL OF PLANT PROTECTION) Journal of Tropical Crop Science International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Entomologi Indonesia JURNAL METEOROLOGI DAN GEOFISIKA JURNAL PANGAN Jurnal Ilmiah Inovasi Planta Simbiosa : Jurnal Tanaman Pangan dan Hortikultura International Journal of Disaster Management Jurnal Meteorologi dan Geofisika The International Journal of Remote Sensing and Earth Sciences (IJReSES)

Yonny Koesmaryono

Agrometeorology Division, Department Of Geophysics And Meteorology, Faculty Of Mathematics And Natural Sciences, IPB University, Campus IPB Dramaga, Indonesia

Author-ID : 2445581

Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemistry Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Environmental Science Immunology & microbiology Mathematics Physics Social Sciences Other

Published : 68 Documents Claim Missing Document

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Local Adaptation to Extreme Weather and It’s Implication on Sustainable Rice Production in Lampung, Indonesia Dulbari Dulbari; Edi Santosa; Yonny Koesmaryono; Eko Sulistyono; Anung Wahyudi; Herdhata Agusta; Dwi Guntoro
AGRIVITA, Journal of Agricultural Science Vol 43, No 1 (2021)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v43i1.2338

Extreme weather incidents refer to high rainfall and strong winds have been speculated to be detrimental on rice production. However, researches on the local adaptation to their impact on rice production are limited especially on tropical region like Indonesia. A study was conducted in Pesawaran, West Lampung, North Lampung, and Bandar Lampung using time series data of 2000-2015 and ground checking during extreme weather and normal seasons and its implication on sustainable management. Data were evaluated using multivariate regressions. Results demonstrated that the impact of extreme weather on the reduction of rice production was weak, 0.92%. Shifting on rice production among swampy, irrigated, and dry lands at which covered area of 13.67%, 42.69% and 43.65%, respectively, minimized the impact of the extreme weather. During limited precipitation, irrigated and swamplands had 2.5-3.0 times cropping intensity. Conversely, during La-Nina with excess precipitation, cropping in irrigated and drylands increased by 20 and 58%, respectively. Moreover, the local government maintained annual production improvement by about 5% through expansion of irrigated land, high yielding varieties and inputs subsidies. Considering that incident of extreme weathers tended to occur more frequently, consequently, planting calender utilization and rice variety adapted should be implemented.

Vulnerability of Primary Productivity and Its Carbon Use Efficiency to Unfavorable Climatic Conditions in Jambi Province, Indonesia Ummu Ma'rufah; Tania June; Ashehad Ashween Ali; Akhmad Faqih; Yonny Koesmaryono; Christian Stiegler; Alexander Knohl
Journal of Mathematical and Fundamental Sciences Vol. 54 No. 1 (2022)
Publisher : Institute for Research and Community Services (LPPM) ITB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/j.math.fund.sci.2022.54.1.4

Climatic conditions and land cover play crucial roles in influencing the process of carbon uptake through vegetation. This study aimed to analyze the effect of climate variability on carbon uptake of four different land covers in Jambi Province, Indonesia. The four land cover types studied were: forest, shrub, grass, and irrigated soybean, based on Community Land Model version 5. Forest was found to have the highest net primary production (NPP) compared to the other land covers. Seasonal climate variability showed no major effect on NPP and gross primary production (GPP). However, GPP and NPP experienced significant declines during El Niño Southern Oscillation (ENSO), particularly in 2015. Carbon use efficiency (CUE = NPP/GPP) was also affected by ENSO, where CUE decreased during El Niño, particularly in October and November with an increased number of days without rainfall. In addition, the difference between latent (LE) and sensible heat (H) flux, denoted as (LE-H), decreased from August to November. This difference was highly correlated with NPP. This result indicates that when water supply is low, stomata will close, thereby reducing photosynthesis and transpiration, and allocating more of the available energy to sensible heat flux rather than latent heat flux.

Cuaca Ekstrim Mengubah Nilai Indeks Ketahanan Tanaman Padi Terhadap Rebah Dulbari Dulbari; Edi Santosa; Yonny Koesmaryono; Eko Sulistyono
J-Plantasimbiosa Vol 1 No 1 (2019)
Publisher : Politeknik Negeri Lampung

Ketahanan rebah varietas padi ditentukan berdasarkan indeks kerebahan IRRI (1988) yang terdiri dari : 0, 1, 3, 5, 7, dan 9. Nilai indeks 0 : sangat tahan rebah (tidak ada tanaman yang rebah), 1 : tahan rebah (tanaman rebah kurang dari 20%), 3 : agak tahan rebah (tanaman rebah 21 Ì¶ 40%), 5 : sedang (tanaman rebah 41 Ì¶ 60%), 7 : agak peka (tanaman rebah 61 Ì¶ 80%), dan 9 : peka (tanaman rebah lebih dari 80%). Evaluasi karakter kerebahan (Krb) tanaman padi dilakukan mengikuti Panduan Sistem Karakterisasi dan Evaluasi Tanaman Padi Kementan (2014). Kreteria dan metode evaluasi varietas padi terhadap ketahanan rebah tidak diukur untuk menghadapi kondisi cuaca ekstrim. Nilai indeks kerebahan berubah dengan terjadinya insiden cuaca ekstrim sehingga perlu dilakukan evaluasi terhadap kreteria ketahanan rebah suatu varietas bila akan ditanam di daerah yang rawan insiden cuaca ekstrim.

UTILIZATION OF NEAR REAL-TIME NOAA-AVHRR SATELLITE OUTPUT FOR EL NIÑO INDUCED DROUGHT ANALYSIS IN INDONESIA (CASE STUDY: EL NIÑO 2015 INDUCED DROUGHT IN SOUTH SULAWESI) Amsari Mudzakir Setiawan; Yonny Koesmaryono; Akhmad Faqih; Dodo Gunawan
International Journal of Remote Sensing and Earth Sciences (IJReSES) Vol 13, No 2 (2016)
Publisher : National Institute of Aeronautics and Space of Indonesia (LAPAN)

Drought is becoming one of the most important issues for government and policy makers. National food security highly concerned, especially when drought occurred in food production center areas. Climate variability, especially in South Sulawesi as one of the primary national rice production centers is influenced by global climate phenomena such as El Niño Southern Oscillation or ENSO. This phenomenon can lead to drought occurrences. Monitoring of drought potential occurrences in near real-time manner becomes a primary key element to anticipate the drought impact. This study was conducted to determine potential occurrences and the evolution of drought that occurred as a result of the 2015 El Niño event using the Vegetation Health Index (VHI) from the National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) satellite products. Composites analysis was performed using weekly Smoothed and Normalized Difference Vegetation Index (or smoothed NDVI) (SMN), Smoothed Brightness Temperature Index (SMT), Vegetation Condition Index (VCI), Temperature Condition Index (TCI), and Vegetation Health Index (VHI). This data were obtained from The Center for Satellite Applications and Research (STAR) - Global Vegetation Health Products (NOAA) website during 35-year period (1981-2015). Lowest potential drought occurrences (highest VHI and VCI value) caused by 2015 El Niño is showed by composite analysis result. Strong El Niño induced drought over the study area indicated by decreasing VHI value started at week 21st. Spatial characteristic differences in drought occurrences observed, especially on the west coast and east coast of South Sulawesi during strong El Niño. Weekly evolution of potential drought due to the El Niño impact in 2015 indicated by lower VHI values (VHI < 40) concentrated on the east coast of South Sulawesi, and then spread to another region along with the El Nino stage.

Modifikasi Iklim Mikro untuk Tanaman Soba (Fagopyrum esculentum) Sebagai Pangan Fungsional Micro Climate Modification on Plant Buckwheat (Fagopyrum esculentum) as Functional Food Adeleyda M. W Lumingkewasa; Yonny Koesmaryono; Sandra A Aziz; Impron Impron
JURNAL PANGAN Vol. 24 No. 1 (2015): PANGAN
Publisher : Perum BULOG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33964/jp.v24i1.44

Tanaman soba (Fagopyrum esculentum) berasal dari wilayah subtropis, berpotensi sebagai pangan fungsional karena mengandung senyawa flavonoid antioksidan yaitu rutin. Kadar rutin sangat dipengaruhi oleh lingkungan. Penelitian ini bertujuan untuk mengetahui potensi tanaman soba sebagai sumber bahan pangan fungsional. Penelitian dilaksanakan di Kebun Pembibitan, desa Kopo (600 meter dari permukaan laut) Kabupaten Bogor, Jawa Barat, dari bulan Mei sampai Juli 2012. Metode yang digunakan adalah rancangan petak tersarang dalam rancangan acak kelompok dua faktor dengan tiga ulangan. Faktor pertama adalah naungan terdiri dari dua taraf, yaitu: tanpa naungan, dengan naungan paranet 55 persen, dan faktor kedua adalah populasi terdiri dari dua taraf, yaitu: 200 tanaman/m2, 50 tanaman/m2. Hasil penelitian menunjukkan produksi biji terbanyak pada kombinasi perlakuan tanpa naungan populasi 200 tanaman/m2 (N0P1) sebesar 764,3 g/m2 atau 7,643 ton/hektar dan terendah pada perlakuan dengan naungan paranet 55 persen populasi 50 tanaman/m2 (N1P2) sebesar 146,0 g/m2 atau 1,46 ton/hektar. Kadar rutin tertinggi diperoleh pada perlakuan tanpa naungan sebesar 0,398 mg/g biji. Produktivitas kadarrutin biji soba sebesar 304,19 mg/m2. atau 3,04 kg/hektar.Buckwheat (Fagopyrum esculentum), originated from subtropical regions, has the potential as a functional food because it contains flavonoid, called rutin. Rutin concentration is greatly influenced by the environment. The objective of this study is to determine the potential of the buckwheat plant as a functional food. The research is conducted in the nursery garden of Kopo village (600 m asl), Bogor District, West Java, from May to July 2012. The method used is the nested plot design in a randomized complete block design with two factors and three replications. The first factor is two levels of shading namely without shading and with shading of 55 percent paranet. The second factor is two crop densities namely 200 plants/m2 and 50 plants/m2. The research results show that the highest grain production (764.3 g/m2 or 7.643 tons/ha) is in the combination treatment of NOP1 and the lowest one (146.0 g/m2 or 1.46 tons/ha) is in N1P2 treatment. The highest rutin concentration is obtained on the treatment without shade at 0.398 mg/g groats. The productivity of rutin concentration of buckwheat groats is 3.04 kg/ha.

Mekanisme Morfologi dan Fisiologi Tanaman Padi pada Kondisi Rebah dan Strategi Adaptasinya Dulbari Dulbari; Eko Sulistyono; Yonny Koesmaryono
Jurnal Ilmiah Inovasi Vol 18 No 3 (2018): Desember
Publisher : Politeknik Negeri Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25047/jii.v18i3.1239

Kejadian cuaca ekstrim mengacu pada curah hujan yang tinggi dan angin kencang telah berspekulasi merugikan produksi beras. Namun, studi tentang mekanisme morfologi dan fisiologis, dan strategi adaptasinya pada penginapan jarang dilaporkan. Dengan demikian, tiga percobaan dilakukan di Sawah Baru, Leuwikopo, dan Provinsi Lampung, Indonesia dari Januari 2016 hingga Juni 2017. Hasil penelitian menunjukkan bahwa cuaca ekstrem menyebabkan tanaman padi tersangkut di daerah penelitian sebesar 27,6% dengan kehilangan produksi hingga 11,89%. Adaptasi morfologi dan fisiologis tampaknya merupakan aspek penting dalam respon terhadap perlakuan cuaca ekstrim. Komposisi biokimia berubah setelah penginapan, terutama asam lemak, terpene, alkana, dan steroid. Penginapan meningkatkan total senyawa biokimia lebih dari 48% dari tanaman normal. Berbeda dengan kehilangan produksi yang nyata pada petak percobaan, di lapangan, dampak cuaca ekstrim terhadap penurunan produksi padi di Provinsi Lampung tergolong rendah, yaitu 1,03%. Pergeseran produksi padi antar agroklimat, meminimalkan dampak cuaca ekstrim. Kemungkinan kemampuan lokal untuk mempertahankan peningkatan produksi tahunan lebih dari 5% melalui perluasan lahan irigasi, varietas unggul dan subsidi input merupakan faktor penting sebagai strategi lokal untuk beradaptasi dengan kejadian cuaca ekstrim di Lampung.

KARAKTERISTIK DAN KENYAMANAN IKLIM LOKASI WISATA BERBASIS ALAM DI ECO-PARK ANCOL, KEBUN RAYA BOGOR DAN KEBUN RAYA CIBODAS Nofi Yendri Sudiar; Yonny Koesmaryono; Perdinan Perdinan; Hadi Susilo Arifin
EnviroScienteae Vol 15, No 2 (2019): EnviroScienteae Volume 15 Nomor 2, Agustus 2019
Publisher : Universitas Lambung Mangkurat

This research explores the characteristics and comfort of climate in nature-based tourism areas in Ancol Eco-Park (EPA) (3masl), Bogor Botanical Gardens (KRB)(260 masl) and Cibodas Botanical Gardens (KRC) (1340 masl). Climate characteristics use the Schmidt-Ferguson and Koppen classifications. Calculation of climate comfort scores using TCI and HCI methods and modifying the thermal aspects. In addition to surveys with questionnaires, measurements of temperature, humidity and wind speed were carried out in all three regions simultaneously. Climate classification according to Schmidt-Ferguson obtained by KRB is type A climate, EPA and KRC are type C climate. Classification according to Koppen, the three regions include the climate of the tropical rainforest namely EPA (Am), KRB and KRC (Af). The vegetation component dominates the three tourist areas with a percentage of over 60% of the tourist areas. The climate comfort index based on calculations results in a comfortable KRC area throughout the year while EPA and KRB are comfortable in the dry season. Comparison of comfort index based on calculations with visitor perceptions results in thermal aspects for the tropics needing to be modified. From 12:00-12:59 WIB to 13:00-13:59 WIB, the most uncomfortable hours of the day. Temperature intervals with comfortable categories are 25.2°C - 29.0°C or effective temperatures between 20.5°C - 24.6°C.

Land Use Change Impact on Normalized Difference Vegetation Index, Surface Albedo, and Heat Fluxes in Jambi Province: Implications to Rainfall Siti Nadia Nurul Azizah; Tania June; Resti Salmayenti; Ummu Ma'rufah; Yonny Koesmaryono
Agromet Vol. 36 No. 1 (2022): JUNE 2022
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.36.1.51-59

Jambi covers various land uses with different characteristics related to biogeophysical cycle. Land use plays an important role in the atmosphere-surface interaction and energy balance partition, which influenced rainfall pattern. Two proxies widely used to differentiate various land uses are albedo and normalized difference vegetation index (NDVI). However, study on albedo and NDVI relationship with rainfall in Jambi is still limited. This study aims to analyze the correlation of NDVI and albedo with rainfall and their distribution in Jambi and Muaro Jambi in 2013 and 2017. The research used Landsat 8 OLI TIRS satellite image data to derived NDVI and albedo, and CHIRPS data for rainfall. A simple linear regression was used to calculate the correlation of NDVI and albedo with rainfall. The results showed that the distribution of albedo for each land use class from the lowest to the highest was forest, plantation, cropland, shrubs, and settlements, respectively. On the contrary, the distribution of NDVI and rainfall is the inverse to albedo. Albedo and NDVI had a strong influence on rainfall through surface energy balance partition. This was indicated by the high R-square between albedo and rainfall (0.99) and between NDVI and rainfall (0.97). Increasing upward latent heat flux from the land surface to atmosphere leads to a rainfall increase. In other words, rainfall may also increase with the decrease in albedo, increase in NDVI, or land use change.

KARAKTERISTIK SPASIAL DAN TEMPORAL HOTSPOT DI PULAU SUMATERA Mulyono R. Prabowo; Yonny Koesmaryono; Akhmad Faqih; Ardhasena Sopaheluwakan
Jurnal Meteorologi dan Geofisika Vol 21, No 1 (2020)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Kebakaran hutan di Indonesia telah menjadi masalah global yang terjadi setiap tahun, terutama di Pulau Sumatra. Identifikasi kebakaran hutan dan lahan dalam penelitian ini didasarkan pada jumlah dan distribusi hotspot, berdasarkan data citra satelit dari Moderate Resolution Imaging Spectroradiometer (MODIS) pada 2009-2018. Investigasi pada kondisi meteorologi juga didasarkan pada faktor-faktor global dari data Oceanic Nino Index (ONI), Dipole Mode Index (DMI) dan berdasarkan pada indeks kekeringan dari data Standardized Precipitation Index (SPI). Metode yang digunakan adalah metode analisis spasial dan temporal. Tujuan dari penelitian ini adalah untuk mengetahui karakteristik pola distribusi hotspot di Pulau Sumatra, baik secara spasial dan temporal. Ada perbedaan karakteristik spasial dan temporal dari distribusi hotspot di pulau Sumatra, yang didasarkan pada karakteristik topografi, fase ENSO, serta periode musim hujan dan kemarau. Hujan orografis yang terjadi akibat topografi gunung di Aceh dan pantai barat Sumatra mengakibatkan berkurangnya titik api di daerah tersebut. Sementara itu, El Nino meningkatkan jumlah hotspot, sedangkan La Nina mengurangi jumlah hotspot. Dibandingkan dengan IOD, ENSO lebih berpengaruh pada terjadinya peristiwa hotspot di pulau Sumatra. Perbedaan periode musim kemarau di Sumatera utara, tengah, dan selatan juga memberikan perbedaan waktu terjadinya hotspot maksimum di Sumatera. Pola distribusi hotspot di Sumatera utara dan tengah memuncak pada bulan Februari dan Juni, sedangkan di selatan pada bulan September. Konsentrasi titik api yang tinggi (> 50 kejadian perbulan) pada umumnya terjadi di lahan gambut, yang umumnya ditemukan di Sumatra timur (Sumatera Utara, Riau, dan provinsi Sumatra Selatan). Forest fires in Indonesia have become a global problem that occurs every year, especially on the island of Sumatra. The identification of forest and land fires in this study is based on the number and distribution of hotspots, based on satellite image data from the Moderate Resolution Imaging Spectroradiometer (MODIS) in 2009-2018. Investigations on meteorological conditions are also based on global factors from Oceanic Nino Index (ONI) data, Dipole Mode Index (DMI) and based on the drought index from the Standardized Precipitation Index (SPI) data. The method used is a spatial and temporal analysis method. The purpose of this study was to determine the characteristics of hotspot distribution patterns on the island of Sumatra, both spatially and temporally. There are differences in the spatial and temporal characteristics of the hotspot distribution on the island of Sumatra, which is based on the characteristics of the topography, ENSO phase, as well as the wet and dry season periods. Orographic rain that occurred due to mountain topography in Aceh and the west coast of Sumatra resulted in reduced hotspots in the area. Meanwhile, El Nino increased the number of hotspots, while La Nina reduced the number of hotspots. Compared to IOD, ENSO is more influential on the occurrence of hotspot events on the island of Sumatra. The difference in the dry season period in northern, central and southern Sumatra also gives a difference in the time of the occurrence of maximum hotspots in Sumatra. The pattern of hotspot distribution in northern and central Sumatra peaked in February and June, while in the south in September. High hotspots (> 50 monthly events) with high concentrations occur on peatlands, which are commonly found in eastern Sumatra (province of North Sumatra, Riau, and South Sumatra).

MODEL SISTEM PREDIKSI ENSEMBLE TOTAL HUJAN BULANAN DENGAN NILAI PEMBOBOT (KASUS WILAYAH KABUPATEN INDRAMAYU) Yunus Subagyo Swarinoto; Yonny Koesmaryono; Edvin Aldrian; Aji Hamim Wigena
Jurnal Meteorologi dan Geofisika Vol 13, No 3 (2012)
Publisher : Pusat Penelitian dan Pengembangan BMKG

Manajemen air menjadi sangat penting khususnya di wilayah yang rentan terhadap ketersediaan air. Mengingat hujan di atas normal dapat mengakibatkan banjir, sedangkan hujan di bawah normal mengakibatkan kekeringan. Untuk itu prediksi unsur iklim hujan ini menjadi penting. Model sistem prediksi ensemble berbasis model sistem prediksi tunggal ANFIS, Wavelet-ANFIS, Wavelet ARIMA, dan ARIMA total hujan bulanan telah disimulasikan di wilayah Kabupaten Indramayu. Model sistem prediksi ensemble total hujan bulanan ini dibentuk dengan teknik pembobotan. Nilai pembobot didasarkan pada nilai koefisien korelasi Pearson (r) yang diperoleh selama masa pelatihan dengan series data 1991-2000. Hasil pengolahan data 2001-2009 menunjukkan kisaran nilai r didapat 0,45-0,83 untuk ANFIS; 0,20-0,53 untuk Wavelet-ANFIS; 0,50-0,95 untuk Wavelet-ARIMA; 0,14-0,66 untuk ARIMA; dan 0,58-0,94 untuk Ensemble. Secara spasial, luaran model sistem prediksi ensemble total hujan bulanan di wilayah Kabupaten Indramayu menunjukkan hasil yang konsisten lebih baik daripada luaran model sistem prediksi tunggal pembentuknya. Water management is very important especially for region which is vulnarable to the water availability. Above normal rainfal condition causes flood, meanwhile below normal one triggers to the drought occurences. Coping with this situation, the rainfall prediction output is needed. The ensemble prediction system model (EPSM) based on several single prediction system models (SPSMs) such as ANFIS, Wavelet-ANFIS, Wavelet ARIMA, and ARIMA on monthly rainfall total, has been simulated within Indramayu district. The EPSM was developed and based on the weighting technique. This weighting is computed based on the value of Pearson correlation coefficient (r) which has been gained during the training period of 1991-2000. Results of 2001-2009 model running show the value of r are 0,45-0,83 for ANFIS; 0,20-0,53 for Wavelet- ANFIS; 0,50-0,95 for Wavelet-ARIMA; 0,14-0,66 for ARIMA; and 0,58-0,94 for the Ensemble. Spatially, the output of EPSM of rainfall total within Indramayu district show consistently better results comparing to the output of origin SPSMs.

Co-Authors . Haruna . RINDITA A. Yanto Abdul Syakur Adeleyda M. W Lumingkewasa Adi Mulsandi Agus Suryanto Ahmad Faqih Aji Hamim Wigena Aji Irsyam N. Sukarta Akhmad Faqih Akhmad Faqih Alexander Knohl Ali, Ashehad Aswen Amsari Mudzakir Setiawan Amsari Mudzakir Setiawan Anung Wahyudi Aprilia, Lupita Ardhasena Sopaheluwakan Ardhasena Sopaheluwakan Aris Pramudia Aris Pramudia Ashehad Ashween Ali Asmari Amasih Aziz, Sandra A B.F. Simatupang Bambang Dwi Dasanto Bambang Guritno Budi Kartiwa Budi Kartiwa Christian Stiegler Daijiro Ito Didiek H. Goenadi Didiek Hadjar Goenadi Didiek Hadjar Goenadi Didy Sopandie Dodo Gunawan Dodo Gunawan Donaldi Sukma Permana Dulbari, Dulbari Dwi Guntoro E. Aldrian E. Eliyani Edi Santosa Edvin Aldrian Eko Sulistyono Eleonora Runtunuwu Eleonora Runtunuwu Erwin Eka Syahputra Makmur F Ismaini F. Djufri F. Fibrianty Fadjry Djufri Fadjry Djufri Felia Rizky Aulia Fendy Arifianto Ferdinan Yulianda Gusti Rusmayadi H.M.H Bintoro Djoefrie Hadi Susilo Arifin Hana F.T. Handoko Handoko Hanedi Darmasetiawan Hanedi Darmasetiawan Hari Wijayanto Haruna Haruo Suzuki Herdhata Agusta Hidayat Pawitan Hidayat Pawitan Hideki Sukimoto I Handoko I Handoko I Wayan Astika Impron Impron Irianto G. Irsal Las Irsal Las Justika Baharsjah Kiki, Kiki Knohl, Alexander Laode Sabaruddin Lisdar Idwan Sudirman Lukman H. Sibuea Lumingkewasa, Adeleyda M. W Ma'rufah, Ummu Magfira Syarifuddin Mamenun Mamenun Marjuki Marjuki Mufika Haryu Suci Fitriana Mulyono R. Prabowo Mulyono R. Prabowo Munif Ghulamahdi Nofi Yendri Sudiar P. Perdinan Rahmat Hidayat Resti Salmayenti Rini Hidayati Rizaldi Boer Rokhmin Dahuri S. B. Rushayati Sandra A Aziz Santikayasa, I Putu Setiapermas M.N. Siti Nadia Nurul Azizah Sjafrida Manuwoto Sofyan Zaman Sofyan, Devied Apriyanto Sopaheluwakan, Ardhasena Sulistyono, dan Eko Suman Sangadji Sutoro Sutoro Swastiko Priyambodo, Swastiko Syahrizal Koem Syarifuddin Karama Tania June Taufan Hidayat Taufan Hidayat Tetsuya Haseba Tetsuya Haseba Tugiyo Aminoto Ummu Ma'rufah Ummu Ma'rufah Upik Kesumawati Hadi Wahyujaya Wahyujaya Wido Hanggoro Yogi Sugito Yon Sugiarto Yopie Moelyohadi Yunus Subagyo Swarinoto Yusmin . Yusmin . Yustika S. Baharsyah Z. Noor

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