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Greenhouse Gas Pollution Based on Energy use and its Mitigation Potential in the City of Surakarta, Indonesia Prabang Setyono; Widhi Himawan; Cynthia Permata Sari; Totok Gunawan; Sigit Heru Murti
Indonesian Journal of Geography Vol 52, No 1 (2020): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (54.704 KB) | DOI: 10.22146/ijg.48802

Abstract

Considered as a trigger of climate change, greenhouse gas (GHG) is a global environmental issue. The City of Surakarta in Indonesia consists mainly of urban areas with high intensities of anthropogenic fossil energy consumption and, potentially, GHG emission. It is topographically a basin area and most likely prompts a Thermal Inversion, creating a risk of accumulation and entrapment of air pollutants or GHGs at low altitudes. Vegetation has been reported to mitigate the rate of increase in emissions because it acts as a natural carbon sink. This study aimed to mitigate the GHG emissions from energy consumption in Surakarta and formulate recommendations for control. It commenced with calculating the emission factors based on the IPCC formula and determining the key categories using the Level Assessment approach. It also involved computing the vegetation density according to the NDVI values of the interpretation of Sentinel 2A imagery. The estimation results showed that in 2018, the emission loads from the energy consumption in Surakarta reached 1,217,385.05 (tons of CO2e). The key categories of these emissions were electricity consumption, transportation on highways, and the domestic sector, with transportation on highways being the top priority. These loads have exceeded the local carrying capacity because they create an imbalance between emission and natural GHG sequestration by vegetations.
ESTIMASI PRODUKSI JAGUNG (Zea Mays L.) DENGAN MENGGUNAKAN CITRA SENTINEL 2A DI SEBAGIAN WILAYAH KABUPATEN JENEPONTO PROVINSI SULAWESI SELATAN Laode Muhamad Irsan; Sigit Heru Murti; Prima Widayani
Jurnal Teknosains Vol 8, No 2 (2019): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.36885

Abstract

Production is a real benchmark in successful crop management which is the most important output economically. Currently, corn production estimates are generally done by conventional means through field surveys. This conventional way requires a high cost and a long time. Appropriate agricultural management requires precise and accurate information or data to increase production and economic benefits. Sentinel 2A remote sensing satellite data is potential to be used in assessment of corn production estimation. The purpose of this research is to make land use mapping and corn production estimation by using spectral approach. Estimated data were obtained from Sentinel 2A image by mapping land use and modeling of vegetation index (NDVI, SAVI, MSAVI, TSAVI, EVI, and ARVI) then compared with data of corn production in the field. The result of data analysis shows land use mapping using Sentinel 2A image has 91% confidence level. Calculation of production estimation can show the accuracy of 74% with RMSE 0.69. The highest correlation is estimated production with EVI index model with regression correlation equal to 74% which shows strong correlation on both variables. Estimated production of corn in 2017 in Jeneponto Regency is 178,660,69 tons.
LAND-SOIL CHARACTERISTICS FOR MAPPING PADDY CROPPING INTENSITY USING DECISION TREE ANALYSIS FROM SINGLE DATE ALI IMAGERY IN MAGELANG, CENTRAL JAVA, INDONESIA Sanjiwana Arjasakusuma; Projo Danoedoro; Sigit Herumurti; Yanuar Adji Nugroho; Prama Ardha Aryaguna
Geoplanning: Journal of Geomatics and Planning Vol 4, No 2 (2017)
Publisher : Department of Urban and Regional Planning, Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/geoplanning.4.2.187-200

Abstract

Paddy field area and its cropping intensity are main information used to measure the crop production and the response of crop to changing climate conditions. Remote sensing technology has been used widely to map cropping pattern of paddy mostly using spectral analysis of multi temporal multispectral data of remote sensing. However, the cropping intensity of paddy was also influenced by the characteristics of planted land to paddy field which defines the level of land suitability for planting paddy.  This research aimed to map paddy rotation by using single date ALI imagery by assessing the land and soil characteristics based on the land suitability parameters for planting paddy.  Soil characteristics such as texture, acidity level, P205 (phosphor) and C-organic level collected from field work and terrain characteristics such as landform, surface water, and drainage density from visual delineation of SRTM 90 m was collected as inputs for the decision tree analysis to map the repetition of paddy planting throughout the year. The results showed the overall accuracy of 85% ± 8% (95 % level of confidence) for the final paddy rotation map where 2-times paddy per year was mostly found in the study area.
INDEKS PEMAKAIAN AIRTANAH DI KOTA YOGYAKARTA Ahmad Cahyadi; Indra Agus Riyanto; Hendy Fatchurohman; Sigit Heru Murti Budi Santosa; Raras Endarto
Tunas Geografi Vol 9, No 1 (2020): JURNAL TUNAS GEOGRAFI
Publisher : Department of Geography Education, Faculty of Social Sciences, Universitas Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24114/tgeo.v9i1.17630

Abstract

The rapid development of the city causes an increase in the amount of water that needed to support various activities. The Utilization of groundwater in large quantities causes negative impacts such as the decrease in groundwater level so that people are difficult to access groundwater. The aim of this study is to analyze the index of groundwater use which describe the condition of groundwater use in the city of Yogyakarta. The groundwater use index is calculated by dividing the total water demand and the availability of groundwater in the City of Yogyakarta. The result shows that in general groundwater use in the city of Yogyakarta is categorized in the safe enough classification (III). However, in the shallow groundwater use index there is one area with less safe classification (II) namely Kotagede District, and one area with unsafe classification (I) namely Umbulharjo District. The main factor which influence to the high index of shallow groundwater use is large population that causes high water domestic needs. This is reflected in the percentage of water domestic needs reaching 90.43%.Keywords: Groundwater, Index of Groundwater Use, Yogyakarta City Perkembangan kota yang pesat menyebabkan semakin banyak jumlah air yang dibutuhkan untuk menunjang berbagai kegiatan di dalamnya. Pemanfaatan airtanah dalam jumlah yang besar menyebabkan dampak negatif seperti penurunan muka airtanah, sehingga masyarakat sulit untuk mengakses airtanah tersebut. Penelitian ini bertujuan menganalisis indeks pemakaian airtanah yang diharapkan dapat menggambarkan kondisi penggunaan airtanah di Kota Yogyakarta. Indeks pemakaian airtanah dihitung dengan membagi total kebutuhan air dengan ketersediaan airtanah di Kota Yogyakarta. Hasil analisis menunjukkan bahwa secara umum pemakaian airtanah di Kota Yogyakarta masuk dalam  klasifikasi cukup aman (III). Namun demikian pada indeks pemakaian airtanah dangkal terdapat satu wilayah dengan klasifikasi kurang aman yakni Kecamatan Kotagede, dan satu wilayah dengan klasifikasi tidak aman, yakni Kecamatan Umbulharjo. Faktor utama yang berpengaruh tingginya indeks pemakaian airtanah dangkal adalah jumlah penduduk yang sangat besar yang menyebabkan kebutuhan air domestik yang sangat tinggi. Hal tersebut tergambar dari nilai persentase kebutuhan domestik yang mencapai 90,43%Kata Kunci: Airtanah, Indeks Pemakaian Airtanah, Kota Yogyakarta
Suitable Proportion Sample of Holdout Validation for Spatial Rainfall Interpolation in Surrounding the Makassar Strait Giarno Giarno; Muhammad Pramono Hadi; Slamet Suprayogi; Sigit Heru Murti
Forum Geografi Vol 33, No 2 (2019): December 2019
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/forgeo.v33i2.8351

Abstract

Spatial rainfall interpolation requires a number of suitable validation samples to maintain accuracy. Generally, the larger the areas which can be predicted, the better the interpolation. In addition, the data used for validation should be separated from the modelling data. Moreover, the number of samples determine optimally proportion the independent sites. The objective of this study is to determine the optimal sample ratio for holdout validation in interpolation methods; the Makassar Strait was chosen as the study location because of its daily rainfall variation. The accuracy of the sample selection is tested using correlation, root mean square error (RMSE), mean absolute error (MAE) and the indicators of contingency tables. The results show that accuracy depends on the ratio of the modelling data. Therefore, the more extensive the data used for interpolation, the better the accuracy. Otherwise, if the rain gauge data is separated according to province, there will be a variation in accuracy in the portion of independent samples. For rainfall interpolation, it is recommended to use a minimum 75% of data sites to maintain accuracy. Comparison between kriging and inverse distance weighting or IDW methods indicates that IDW is better. Moreover, rainfall characteristics affect the accuracy and portion of the independent sample.
Dampak Penurunan Kualitas Air Laut Dari Kegiatan Operasi Floating Storage and Offlaoding (FSO) Challenger Lepas Pantai Blok Bawean Ai Siti Patimah; Sigit Heru Murti; Agus Prasetya
Jurnal Ilmu Lingkungan Vol 20, No 3 (2022): July 2022
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.20.3.484-493

Abstract

Floating Storage and Offloading (FSO) terletak pada koordinat 6° 43’51.84” LS dan 112° 09’19.84” BT berada di Blok Bawean. Fasilitas FSO adalah tanker pengangkut dan penyimpan crude oil dengan kapasitas 900.000 barrel. Penelitian ini bertujuan untuk (1) mengetahui parameter kualitas air laut di FSO Challenger semester II 2018 (2) mengevaluasi kecenderungan dan tingkat kekritisan kualitas air laut di FSO Challenger tahun 2015-2018. Lokasi penelitian pada bagian Up stream dan Down stream FSO Challenger, parameter yang diuji  yaitu kekeruhan, TSS, suhu, pH, BOD5, N-NH3, lemak dan minyak (grease and oil), dan N-NO3. Pengambilan sampel kualitas air laut dilakukan secara langsung, Sampel air laut yang diperoleh kemudian dilakukan pengujian sesuai metode yang mengacu pada peraturan yang berlaku sesuai izin lingkungan no.02.85.12 tahun 2014. Sampel hasil analisis laboratorium dibandingkan dengan baku mutu sesuai Keputusan Menteri Lingkungan Hidup Nomor 51 Tahun 2004. Hasil analisis labolatorium kualitas air laut yaitu  kekeruhan kisaran <0,40 – 0,60 NTU, TSS <1,6 – 3,6 mg/L, BOD5 9,3 – 11,1 mg/L, N-NH3 <0,03 mg/L, lemak dan minyak (grease dan oil)  <0,2 mg/L, N-NO3 < 0,006 mg/L, suhu 31,2 – 31,7°C, serta pH 8,01 – 8,17. Kecenderungan tingkat kekritisan kualitas air laut di FSO Challenger yang fluktuatif mengakibatkan dampak terhadap kualitas air laut sekitar FSO Challenger. Pengawasan kualitas dari air laut di sekitar FSO Challenger dengan pengolahan air terproduksi yang di setting kembali di slope tank dan dialirkan ke separator, pengelolaan pada air pendingin dengan mengatur debit maksimum dan pengoperasian sistem secara kontinyu.ABSTRACTFloating Storage and Offloading (FSO) is located at coordinates 6° 43'51.84” South Latitude and 112° 09'19.84” East Longitude is in the Bawean Block. The FSO facility is a crude oil carrier and storage tanker with a capacity of 900,000 barrels. This study aims to (1) determine the parameters of sea water quality in FSO Challenger in the second semester of 2018 (2) find the potential and criticality of sea water quality in FSO Challenger in 2015-2018. The research location is in the Upstream and Downstream sections of the FSO Challenger, the parameters tested are turbidity, TSS, temperature, pH, BOD5, N-NH3, grease and oil (grease and oil), and N-NO3. Sampling of seawater quality is carried out directly. The seawater samples obtained are then tested based on methods that refer to applicable regulations according to environmental permits no. 02.85.12 of 2014. Samples from laboratory analysis are compared with quality standards according to Decree of the Minister of the Environment Number 51 of 2004. The results of laboratory analysis of sea water are turbidity in the range of <0.40 – 0.60 NTU, TSS <1.6 – 3.6 mg/L, BOD5 9.3 – 11.1 mg/L, N- NH3 <0.03 mg/L, fats and oils (grease and oil) <0.2 mg/L, N-NO3 < 0.006 mg/L, temperature 31.2 – 31.7°C, and pH 8.01 – 8.17. The level of criticality of sea water quality in FSO Challenger which fluctuates has an impact on sea water quality around FSO Challenger. Monitoring the quality of seawater around the Challenger FSO by treating the produced water which is set back in the slope tank and into the separator, managing the air conditioner by adjusting the maximum flowrate and operating the system continuously.
PENGHITUNGAN INDEKS VEGETASI CITRA WORLDVIEW-2 UNTUK ESTIMASI PRODUKSI KELAPA SAWIT Dhimas Wiratmoko; Hartono Hartono; Sigit Heru Murti BS
Jurnal Penelitian Kelapa Sawit Vol 24 No 3 (2016): Jurnal Penelitian Kelapa Sawit
Publisher : Pusat Penelitian Kelapa Sawit

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1499.494 KB) | DOI: 10.22302/iopri.jur.jpks.v24i3.17

Abstract

Remote sensing application that used integrated with environmentally factors for oil palm yield estimating using Worldview-2 Imagery vegetation index (VI) was done. The aims of this study to get : 1) Red Edge Normalized Different Vegetation Index (RENDVI) and C h l o r o p h y l l I n d e x R e d E d g e ( C IRE ) ; 2) Correlation both of VI and oil palm yield; 3) oil palm yield estimation. The methods that used in this study were VI calculation by using RENDVI [(λNIR -λRED EDGE)/(λNIR +λRED EDGE )] and CIRE = [(λNIR /λRED EDGE )-1]. Oil EDGE NIR RED EDGE NIR RED EDGE palm yield estimation done by using linier regression and multiple linier regression. Linier regression used oil palm yield as dependent factor (Y) and VI as independent factor. Multiple linier regression used oil palm yield as dependent factor (Y), vegetative factors (oil palm yield, population per hectars, leaf area index) and environmentally factor (% clay, soil fertility index, altitude and water balance) as independent factors. The results of this study were: 1) the RENDVI value range -1 to 0.493 with average 0.30; while the CIRE value range -1 until 1.845 with average value 0.85. 2) The RENDVI dan CIRE have low positive linier correlation with oil pal yield rendah (rRENDVI = 0.355 dan rCIRE = 0.354); 3) Oil palm RENDVI CIRE yield estimation that using RENDVI and CIRE , vegetatation factors, environmentally factors data integration have similar correlation (r=0.763). Overall estimation model accuration get more than 90% estimation accuration on current month.
PENDUGAAN POTENSI CADANGAN KARBON DI ATAS PERMUKAAN PADA HUTAN MANGROVE DI KUBU RAYA MENGGUNAKAN CITRA ALOS PALSAR (ABOVEGROUND FOREST CARBON STOCK ESTIMATION IN KUBU RAYA MANGROVES BY USING ALOS PALSAR IMAGERY) Yudi Fatwa Hudaya; - Hartono; Sigit Heru Murti; Yayan Hadiyan
Jurnal Penginderaan Jauh dan Pengolahan Data Citra Digital Vol. 12 No. 1 Juni 2015
Publisher : Indonesian National Institute of Aeronautics and Space (LAPAN)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (2043.738 KB)

Abstract

Kebutuhan akan sistem pendugaan cadangan karbon hutan yang memadai dengan cakupan wilayah geografis yang lebih luas dan waktu pengukuran yang lebih cepat saat ini mulai diperhatikan, salah satu diantaranya melalui pemanfaatan citra satelit synthetic aperture radar (SAR). Penelitian ini ditujukan untuk membuktikan keunggulan aplikasi ALOS PALSAR dalam kegiatan kuantifikasi karbon pada hutan mangrove. Dibandingkan dengan penelitian-penelitian sejenis lainnya pada berbagai tipe hutan tropis maupun temperate dataran rendah sampai pegunungan, penerapan pada hutan mangrove, gelombang-L pada citra ALOS PALSAR secara signifikan terbukti memiliki sensitivitas yang lebih baik terhadap nilai kandungan karbon aboveground aktual hasil pengukuran berbasis alometrik di lapangan. Hubungan yang lebih baik diperoleh dengan koefisien determinasi mencapai 62% pada polarisasi HH dengan bentuk persamaan Y=1647e0,358BS_HH dan, 98,6% pada polarisasi HV dengan bentuk persamaan Y = 6,828BS_HV2 +279,4BS_HV + 2870. Sementara pada penelitian sebelumnya (R2) hanya 61% - 76%. Model penduga yang dihasilkan kemudian digunakan untuk menghitung jumlah cadangan karbon dan sebarannya secara geografis. Kandungan biomassa di atas permukaan pada hutan mangrove di Kabupaten Kubu Raya diketahui 178,43 Mg/ha; sedangkan potensi karbon di atas permukaan diketahui 5.334.454,9 Mg (Megagram) atau 5,3 Mt (Megaton) karbon, dan kemampuan dalam menyerap karbondioksida (CO2) adalah 19,451 Mt (Megaton) CO2 equivalent. Hutan mangrove di Kubu Raya dengan luas 71.069,21 hektar apabila dipertahankan keberadaannya akan berkontribusi mengurangi tingkat emisi GRK (Gas Rumah Kaca) dari sektor kehutanan sebesar 0,76 %.Kata kunci: ALOS PALSAR, Mangrove, Alometrik, Karbon.
Grand Design for Merapi Irrigation Channel System Using Watershed and River Region Approaches based on Community Development in Yogyakarta, Indonesia Slamet Suprayogi; Totok Gunawan; Sigit Heru Murti; Wikan Jaya Prihantarto; Masrur Alatas
ASEAN Journal on Science and Technology for Development Vol. 39 No. 1 (2022): Community Resilience
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29037/ajstd.740

Abstract

This paper proposes a grand design for Merapi Irrigation Channel, an irrigation channel system spanning from Turi to Cangkringan District in Yogyakarta, Indonesia. This design is based on Geographic Information System research to assess the feasibility of the system from two aspects, namely geophysics using site selection approaches (watershed and river region) and community aspirations, analyze potential water resource availability to support its sustainability, and construct a grand design. Primary data acquired from IKONOS image interpretation were used to collect geophysical and ?eld data for parameter mapping, and spatial data were modeled using Geographic Information System technology to determine paths, directions, and routes. Community aspirations were obtained by structured interviews with key informants and focus group discussions with community groups in village units. Results showed that the land carrying capacity geophysically allowed Krasak–Bedog Rivers as the permanent discharge of 123.78 m3/s of water, which is consistent with community aspirations for high irrigation water discharge in traversed districts. Overall, 19 rivers and 9 arti?cial retentions in the channel system respectively produced maximum discharges of 123.78 and 12 m3/s. The grand design included the construction of a 41 km long Merapi Channel from Turi (speci?cally Wonokerto Village) at 500 masl to Cangkringan (Glagaharjo) at 450 masl.
ANALISIS EKOLOGIS VEGETASI POHON DI DAERAH TANGKAPAN AIR (DTA) MATA AIR GEGER KABUPATEN BANTUL YOGYAKARTA Remigius Binsasi; Retno Peni Sancayaningsih; Sigit Heru Murti
SAINTEKBU Vol 9 No 2 (2017): Volume 9 No. 2 Mei 2017
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (581.341 KB) | DOI: 10.32764/saintekbu.v9i2.110

Abstract

Potensi sumber daya air di Indonesia sangat melimpah, tetapi ketersediaan air sangat bervariasi berdasarkan dimensi ruang dan waktu. Adanya perubahan iklim, kerusakan ekosistem dan perubahan penggunaan lahan di Daerah Tangkapan Air (DTA) mengakibatkan terjadinya krisis air di musim kemarau. Penelitian ini bertujuan untuk menganalisis komposisi dan struktur vegetasi pohon dalam peranannya sebagai salah satu bentuk konservasi air. Analisis vegetasi secara ekologis yaitu Jenis tumbuhan, Densitas, Frekuensi, Luas basal area, INP, dan Indeks Keanekaragaman. Penelitian ini dilaksanakan pada bulan November 2015-April 2016 di DTA mata air Geger. Metode pengambilan sampel adalah metode kuadrat plot secara acak. Penentuan DTA yaitu berdasarkan Citra Quikbird untuk pembagian kelas vegetasi. Selain itu, dilakukan pengukuran kadar lengas tanah dan fisiko kimia. Hasil penelitian menunjukkan bahwa luas area DTA mata air Geger secara keseluruhan berdasarkan kelas vegetasi yaitu 9875.26 ha. Jumlah individu spesies terbanyak yang ditemukan dari masing-masing kelas vegetasi secara berturut-turut yaitu Swietania mahagoni, (L.) Jacq; Tectona grandis, L. Acacia auriculiformis A. Cunn Ex Benth; Tectona grandis, L. dan Gnetum gnemon, L. Indeks Nilai Penting (INP) tertinggi dari masing-masing kelas vegetasi yaitu Swietania mahagoni, (L.) Jacq (110,84%) untuk kelas I; Tectona grandis, L. untuk kelas II, III, IV secara berturut-turut yaitu (85,71%), (72,52%), (115,19%); dan Gnetum gnemon, L. (182,21%) untuk kelas V. Hasil analisis indeks keanekaragaman jenis (Shanon winner) menunjukkan bahwa keanekaragaman spesies sangat berkorelasi dengan jumlah spesies dalam suatu wilayah DTA, sedangkan nilai indeks kemerataan atau evennes menunjukkan bahwa distribusi spesies termasuk dalam kategori tinggi.  Kata kunci: Analisis Ekologis, vegetasi Pohon , DTA, Geger
Co-Authors - Hartono Agus Joko Pitoyo Agus Prasetya Agustinus, A.K.A Ahmad Cahyadi **) Ai Siti Patimah Amru, Khaerul Andri Saputra Arina Miardini Arno, Giarno Artha Uli Simatupang Aryaguna, Prama Ardha Binsasi, Remigius Bintoro Saputro Bowo Susilo Bowo Susilo Chatarina Ganis Ratna Wardani Christian S. Imburi Cynthia Permata Sari Defri Mandoza Dhimas Wiratmoko Eko Haryono Erny Poedjirahajoe Erwika Dora Jati Fahmi, Said Giarno Giarno Hadiyan, Yayan Halvina Grasela Saiya Handayani, Nelly Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hartono Hasibuan, Algi Variski Hatma Suryatmojo Hendy Fatchurohman Hudaya, Yudi Fatwa Indra Agus Riyanto Irsan, Laode Muhamad Jati, Erwika Dora Jaya, Risman Khaerul Amru Kurniawan Sigit Wicaksono Langgeng Wahyu Santosa Luthfi Muta&#039;ali Mariah Ulfa Masrur Alatas Milla, Helny Yofin Mega Moehar Maraghiy Harahap Muhammad Pramono Hadi Muhammad Pramono Hadi, Muhammad Pramono Muhammad Sulaiman Mutia Herni Ningrum Netty Dahlah Uar Ningrum, Mutia Herni Ningrum, Ratna Kusuma Nur Aziz Widodo Nurani, Ratna Nurul Astuti, Nurul Pendi Tri Sutrisno Prabang Setyono Pramaditya Wicaksono, Pramaditya Prihantarto, Wikan Jaya Prima Dinta Syam Prima Widayani Projo Danoedoro R. Suharyadi Raras Endarto Raras Endarto RETNO PENI SANCAYANINGSIH Retno Peni Sancayaningsih S Suratman Safitri, Nabila Zalianti Said Fahmi Sanjiwana Arjasakusuma Setyowati, Heratania Aprilia Slamet Suprayogi Slamet Suprayogi Slamet Suprayogi Sri Rahayu Budiani Su Ritohardoyo Sudaryatno Sunarto Sunarto Suprapto Dibyosaputro Suratman Suratman SUWARNO HADISUSANTO Taufik Hery Purwanto Tjahyo Nugroho Adji Totok Gunawan Totok Gunawan Totok Gunawan Totok Gunawan Wa Alimuna Wahyu, Hyundra Zakiya Putri Widhi Himawan Widyatmanti, Wirastuti Wikan Jaya Prihantarto Yanuar Adji Nugroho Yayan Hadiyan Yudi Fatwa Hudaya Yudi Fatwa Hudaya Zuhrita, Anissa Zulfajri Zulfajri, Zulfajri