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All Journal Jurnal Ilmu Pertanian Indonesia J-Sil (Jurnal Teknik Sipil dan Lingkungan) Agromet POSITRON TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Majalah Geografi Indonesia Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Sains & Teknologi Modifikasi Cuaca IJEMS (Indonesian Journal of Environmental Management and Sustainability) JURNAL SUMBER DAYA AIR Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS Journal of the Civil Engineering Forum Jurnal Meteorologi dan Geofisika J-Sil (Jurnal Teknik Sipil dan Lingkungan) Jurnal Penelitian Pengelolaan Daerah Aliran Sungai (Journal of Watershed Management Research)
Santikayasa, I Putu
Department Of Geophysics And Meteorology, Faculty Of Mathematics And Natural Sciences, IPB University, Dramaga Campus, Bogor, Indonesia 16680
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Energy Engineering Environmental Science Physics Public Health Social Sciences Transportation Other

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ANALYSIS OF METEOROLOGICAL DROUGHT PROPAGATION TOWARDS HYDROLOGICAL DROUGHT IN THE UPPER BRANTAS WATERSHED, EAST JAVA Samba Wirahma; I Putu Santikayasa; Muh Taufik; Findy Renggono
Jurnal Sains & Teknologi Modifikasi Cuaca Vol. 23 No. 2 (2022): December 2022
Publisher : BPPT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jstmc.v23i2.5406

Abstract

Abstract Drought is defined as a water deficit condition from normal conditions in the hydrological system. Hydrological drought is a complex process that is preceded by a rainfall deficit. Unlike many other natural disasters, droughts develop slowly, making it difficult to pinpoint the beginning and end of a drought event. Research that focuses on studying the propagation of meteorological drought to hydrological drought is fundamental to revealing the processes and mechanisms of drought propagation. Drought propagation describes the change of meteorological drought signal into hydrological drought through the hydrological cycle. This study aims to analyze the characteristics of drought and evaluate the propagation of drought in the Upper Brantas watershed of East Java. This study uses the Standardized Precipitation Index (SPI) and Standardized Streamflow Index (SSI) methods with an accumulated time of 1, 3, 6, and 12 months to analyze meteorological and hydrological drought characteristics, while the drought propagation was analyzed using Pearson correlation. The results showed that the duration and severity of drought increased with the increase in the period of accumulation of SPI and SSI, while the number of drought events was inversely proportional to the period of accumulation of SPI and SSI. The severity of hydrological drought is higher than the severity of meteorological. The worst hydrological drought (SSI1 = -22.9) with a duration of 12 months occurred in 1997-1998. The high correlation in the condition that there is no time lapse between SSI and SPI shows that the meteorological drought indicator with SPI has the potential to be used as an early detection tool for hydrological drought in the Upper Brantas watershed. This research can be the first step to developing a hydrological drought early detection technique that is very useful in water resource management in watersheds for hydropower operations.
Sea Surface Temperature Anomaly Characteristics Affecting Rainfall in Western Java, Indonesia Qurrata A'yun Kartika; Akhmad Faqih; I Putu Santikayasa; Amsari Mudzakir Setiawan
Agromet Vol. 37 No. 1 (2023): JUNE 2023
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.37.1.54-65

Abstract

Western Java is densely populated with high socio-economic activity. Climate-related disasters can be mitigated with the support of an understanding of systems that produce reliable climate predictions. One of the climate variables included in hydrometeorological disasters is rainfall. The characteristics of rainfall in Western Java cannot be separated from the sea surface temperature (SST) around the area. This study compares the relationship between SST and rainfall with singular value decomposition (SVD) and compares it with Pearson's correlation. SVD Model performance was evaluated using square covariance fraction (SCF) and Pearson correlation. The results showed that rainfall has a higher correlation with SST Anomaly (SSTA) by using SVD, with a correlation of about 0.63 in 6 to 9 months without lag time. Rainfall in western Java was closely related to the positive SSTA anomaly in southern Indonesia, especially the waters south of Java Island, and negative anomalies in other areas. Furthermore, atmospheric dynamic analysis showed that the positive coefficient expansion is followed by warmer SST, lower surface air pressure, higher water vapor, and higher rainfall, all were respective to their normal conditions around western Java. This study concludes that warmer SSTA around Western Java causes increased rainfall in western Java than normal and potentially impacts the hydrological disaster in West Java.
RESPON MODEL HBV DAN MODEL TANGKI TERHADAP ESTIMASI DEBIT ALIRAN DI DAS BOGOWONTO, JAWA TENGAH Fitri Yusti Andini; Bambang Dwi Dasanto; I Putu Santikayasa
JURNAL SUMBER DAYA AIR Vol 19, No 2 (2023)
Publisher : Bina Teknik Sumber Daya Air, Kementerian Pekerjaan Umum dan Perumahan Rakyat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32679/jsda.v19i2.830

Abstract

ABSTRACT The scarcity of discharge data compared to rainfall data have driven the development of the rainfall-runoff model, such as the HBV and Tank models. This research aims to apply the rainfall-runoff model in the Bogowonto watershed and to assess the model outputs. The research consisted of two main stages: 1) model calibration and validation; 2) model evaluation which assesses the model performance based on the Nash-Sutcliffe Efficiency (NSE) index and the coefficient of determination (R2). The results showed that the pattern of the simulation discharge was in accordance with the observed discharge pattern; indicating performance of both models was good (NSE > 0.7 and R2 > 0.65). However, the performance of both models in the daily simulation, particularly at the beginning of the simulation period, is still not satisfactory as the simulated discharge does not match the observed discharge. In the next simulation period, the discharge of the model results were in accordance with the observed discharge; this means the performance of the model was better. In the monthly simulation, the performance of both models is not yet satisfactory during the wet season, but it is good during the dry season. Based on the results of the daily and monthly simulations, both models demonstrate good performance under low precipitation conditions, but their performance declines under high precipitation conditionsKeywords:       Bogowonto watershed; HBV; rainfall-runoff model; simulation; tank ABSTRAKKelangkaan data debit dibandingkan data curah hujan memacu perkembangan model hujan-limpasan, seperti model HBV dan model Tangki. Tujuan penelitian ini adalah menerapkan model hujan-limpasan pada DAS Bogowonto dan menilai luaran hasil model tersebut. Penelitian ini terdiri dari dua tahap. Tahap pertama adalah kalibrasi dan validasi model. Tahap kedua mengevaluasi model, yaitu menilai kinerja model berdasarkan status indeks NSE dan nilai koefisien determinasi. Hasil penelitian menunjukkan bahwa secara umum pola debit simulasi telah sesuai dengan pola debit observasi, ini berarti kinerja kedua model adalah baik (NSE > 0,7 dan R2 > 0,65). Namun, kinerja kedua model dalam simulasi harian, khususnya pada waktu awal simulasi, masih belum baik karena debit simulasi tidak sesuai dengan debit observasi.  Pada periode simulasi selanjutnya, debit hasil model telah sesuai dengan debit observasi; artinya, kinerja model telah semakin baik. Dalam simulasi bulanan, saat musim basah kinerja kedua model masih belum baik tetapi saat musim kering kinerja kedua model menunjukkan hasil yang baik. Berdasarkan hasil simulasi harian dan bulanan, kedua model menunjukkan kinerja yang baik saat hujan rendah tetapi saat hujan tinggi kinerja model mengalami penurunan.Kata Kunci:             DAS Bogowonto; HBV; model hujan-limpasan; simulasi; tangki
Identification of Peatland Burned Area based on Multiple Spectral Indices and Adaptive Thresholding in Central Kalimantan Pratikasiwi, Hilda Ayu; Taufik, Muh.; Santikayasa, I Putu; Domiri, Dede Dirgahayu
Agromet Vol. 38 No. 2 (2024): DECEMBER 2024
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.38.2.68-77

Abstract

Nowadays, spectral index has become popular as a tool to identify fire-burned areas. However, the use of a single index may not be universally applicable to region with diverse landscape and vegetation as peatlands. Here, we propose to develop a procedure that integrates multiple spectral indices with an adaptive thresholding method to enhance the performance of burned area detection. We combined the Normalized Difference Vegetation Index (NDVI) and the Normalized Burn Ratio (NBR) using MODIS imagery from 2002 to 2022 to calculate (Confirmed Burned Pixel) by filtering dNDVI and dNBR. The mean and standard deviation of serve as inputs for image thresholding. We tested our approach in Sebangau peatland, Central Kalimantan, where fires occur annually. The results showed that the model performed well with overall accuracy > of 91%, indicating that the model is effective and reliable for identifying burned areas. The findings also revealed that the frequency of fire is below 2 times/year, with the southeastern is the most fire prone regions. Further, our findings provide an alternative approach for identifying burned areas in locations with diverse vegetation cover and different geographical regions.
Analisis Multitemporal Pengaruh Perubahan Penggunaan Lahan terhadap Klasifikasi Resapan Air Tanah di Kota Surakarta Sulistiani, Sulistiani; Santikayasa, I Putu; Taufik, Muh; Lubis, Rachmat Fajar
Majalah Geografi Indonesia Vol 38, No 1 (2024): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mgi.89966

Abstract

Abstrak. Meningkatnya mobilitas penduduk menyebabkan peningkatan kebutuhan air serta perubahan penggunaan lahan di perkotaan. Adanya peningkatan kebutuhan air, maka sangat diperlukan sumber-sumber air baru khususnya dari air tanah. Disisi lain, perubahan lahan sangat mempengaruhi kemampuan pengisian air tanah. Penelitian ini bertujuan untuk menganalisis secara multitemporal dari perubahan penggunaan lahan tahun 2010-2040 dan mengidentifikasi kondisi resapan air tanah di Kota Surakarta. Adapun metode yang digunakan untuk prediksi Land Use Land Cover (LULC) yaitu menggunakan pendekatan metode Cellular Automata – Artificial Neural Network (CA-ANN) dimana untuk mengevaluasi hasil prediksi LULC menggunakan metode akurasi kappa, sedangkan untuk analisis kondisi resapan air tanah menggunakan metode skoring. Bahan yang digunakan yaitu LULC dari citra Landsat 7 ETM+ dan Landsat OLI tahun 2000, 2010, dan 2020, DEM, jenis tanah, kemiringan lereng, dan curah hujan. Hasil prediksi LULC di Kota Surakarta menunjukkan bahwa terjadi peningkatan  LULC untuk kawasan terbangun dengan total luasan sebesar 71,08% pada tahun 2030 dan 71,83% pada tahun 2040. Selain kawasan terbangun, area vegetasi mengalami penurunan sebesar 1,26% di tahun 2040. Hasil simulasi kondisi resapan air tanah di Kota Surakarta tahun 2020 dan 2040 menunjukkan bahwa lokasi penelitian memiliki 5 kelas klasifikasi yaitu kondisi resapan baik, normal alami, mulai kritis, agak kritis, dan kritis. Kota Surakarta didominasi oleh kelas agak kritis dan kritis dengan luasan area sebesar 17,29 km2 tahun 2020 menjadi 20,85 km2 tahun 2040 untuk kelas IV yaitu agak kritis, dan untuk kelas V yaitu kritis memiliki luasan area sebesar 13,91 km2 tahun 2020 menjadi 15,08 km2 tahun 2040. Abstract. Increased population mobility leads to increased water demand and changes in land use in urban areas. With the increase in water demand, new water sources, especially from groundwater, are needed. On the other hand, land use change greatly affects groundwater recharge capacity. This research aims to analyse multitemporal land use change from 2010-2040 and identify the condition of groundwater recharge in Surakarta City. The method used for Land Use Land Cover (LULC) prediction is using Cellular Automata - Artificial Neural Network (CA-ANN) method approach where to evaluate the LULC prediction results using the kappa accuracy method, while for the analysis of groundwater recharge condition using scoring method. The materials used are LULC from Landsat 7 ETM+ and Landsat OLI images in 2000, 2010, and 2020, DEM, soil type, slope, and rainfall. The prediction results of LULC in Surakarta City show that there is an increase in LULC for built-up areas with a total area of 71.08% in 2030 and 71.83% in 2040. In addition to the built-up area, the vegetation area decreased by 1.26% in 2040. Meanwhile, the simulation results of groundwater infiltration conditions in Surakarta City in 2020 and 2040 show that the research location has 5 classification classes, namely good infiltration conditions, natural normal, starting to be critical, somewhat critical, and critical. Surakarta City is dominated by the mildly critical and critical classes with an area of 17.29 km2 in 2020 to 20.85 km2 in 2040 for class IV which is mildly critical, and for class V which is critical has an area of 13.91 km2 in 2020 to 15.08 km2 in 2040.
Pemodelan Dinamika CO2 Pada Tanaman Kelapa Sawit Kii, Meriana Ina; June, Tania; Santikayasa, I Putu
Agromet Vol. 34 No. 1 (2020): JUNE 2020
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (554.343 KB) | DOI: 10.29244/j.agromet.34.1.42-54

Abstract

Oil palm plantation has a high potency to absorb carbon. Limited observed data and expensive instrumentations to measure the absorbed carbon have caused an inaccurate estimation of carbon storage from oil palm. The objectives of this research were to develop a CO2 absorption model, and to calculate the carbon cycle based on climate factors and plant age. CO2 absorption was derived from gross primary production (GPP) and net primary production (NPP), which were ​​based on solar radiation. From NPP we derived net ecosystem exchange (NEE) by calculating the difference between NPP and soil respiration. Our results showed that age of oil palm has influenced the CO2 absorption from 9.8 (1 year) to 117 tons ha-1 year-1 (19 years), with average of 86.5 tons ha-1 year-1 (over 25-year life cycle). We validated our NPP model with biomass that indicated a very good performance of the model with R2 0.95 and RMSE 1.81. Meanwhile, the performance of NEE model was slightly lower (R2 0.71 and 0.72, for wet and dry conditions), but the model had a similar pattern with the measured NEE. Based on the model performance, the findings imply that the model is useful to estimate CO2 absorption, where there is no eddy covariance measurement. This research suggests that carbon modeling will contribute to global terrestrial carbon modeling.
PREDIKSI DEBIT JANGKA PANJANG UNTUK SUNGAI BENGAWAN SOLO Marliana Tri Widyastuti; Muh Taufik; I Putu Santikayasa
Jurnal Geografi : Media Informasi Pengembangan dan Profesi Kegeografian Vol 15, No 2 (2018)
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jg.v15i2.15387

Abstract

Sungai Bengawan Solo merupakan sungai terpanjang di Pulau Jawa dimana daerah alirannya telah diklasifikasikan sebagai salah satu Daerah Aliran Sungai (DAS) kritis di Indonesia. Penelitian ini mencoba memprediksi debit jangka panjang Sungai Bengawan Solo, dengan tujuan khusus untuk (i) melakukan kalibrasi dan validasi model Soil and Water Assessment Tool (SWAT) dalam mengestimasi debit skala bulanan, dan (ii) mensimulasikan debit bulanan untuk periode 1901 – 2016. Penelitian ini, model SWAT menggunakan input data iklim bulanan, penggunaan lahan, dan karakteristik tanah. Berdasarkan hasil evaluasi, secara statistik model mampu mensimulasikan debit bulanan dengan baik ditunjukkan dengan nilai yang rendah dari percent bias (PBIAS: -2.30%) dan RMSE standard ratio (RSR: 0.44), dan nilai Kling-Gupta Efficiency yang tinggi (KGE: 0.87). Berdasarkan debit hasil simulasi, kami menemukan bahwa debit maksimum terjadi pada bulan Maret, sedangkan debit minimum terjadi pada bulan Agustus. Karakteristik debit bulanan Sungai Bengawan Solo untuk aliran tinggi (Q5) sebesar 198.00 mm/bulan, sedangkan aliran rendah (Q90) sebesar 13.00 mm/bulan. Informasi tentang karakteristik hidrologi sungai sangat penting untuk pengelolaan DAS terpadu, terutama untuk mengantisipasi iklim yang sering berubah.
Identifying Prolonged Zero Value Periods as Part of Quality Control on Daily Rainfall Records in East Java, Indonesia Wibawanty, Dinda Rosyia; Santikayasa, I Putu; Supari
Journal of the Civil Engineering Forum Vol. 11 No. 2 (May 2025)
Publisher : Department of Civil and Environmental Engineering, Faculty of Engineering, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jcef.12720

Abstract

Ensuring the quality of surface rainfall records is crucial for obtaining highly representative data and facilitating further comprehensive analysis. Given that surface rainfall observations are predominantly conducted using conventional gauges, they are still susceptible to human errors that can significantly impact data quality. Among various types of errors that may arise, the issue of zero rainfall records is relatively overlooked. Prolonged zero rainfall periods may introduce uncertainty, as mistyped missing data can be erroneously replaced with zero values. The challenge in handling this issue is complicated by the absence of sufficient evidence to conclusively determine the validity or suspicion of consecutive zero rainfall periods. Therefore, we implemented the Affinity Index, altitude difference, and maximum distance approaches to detect and evaluate (validate or reject) any potential invalid sequences of prolonged zero values in the rainfall dataset. The Affinity Index quantifies the agreement of rain and non-rain events between two meteorological stations, functioning as a metric to evaluate the similarity of their rainfall patterns. Utilizing daily data from 682 rain gauge stations in East Java, Indonesia, spanning from January 2010 to December 2019, we identified two major concerns: zero rainfall accumulation during the peak of the rainy season (December/January/February) and extended dry spells lasting more than 180 days. To address the first issue, we flagged the corresponding station and excluded it from the dataset. For the second issue, we established reference stations for each target station to enable meaningful comparisons. The study found that 8.8% of stations detected zero rainfall accumulation during the peak of the rainy season. Regarding prolonged dry spells, we successfully assessed 98% of extended dry spell events in East Java. The majority of these events were considered valid, while around 3% were deemed dubious.
Analisis Pengaruh Faktor Meteorologi terhadap Fluktuasi 𝐏𝐌𝟐.𝟓 di Kota Pontianak (Periode Tahun: 2022-2023) Qonita, Ismi Rizqi; Santikayasa, I Putu; Turyanti, Ana
POSITRON Vol 15, No 1 (2025): Vol. 15 No. 1 Edition
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam, Univetsitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/positron.v15i1.91566

Abstract

Salah satu zat pencemar yang berbahaya bagi kesehatan manusia akibat peningkatan volume kendaraan dan pembukaan lahan di kota Pontianak adalah Particulate Matter (PM2.5). Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis konsentrasi PM2.5 di tahun 2022-2023, yang dipengaruhi faktor meteorologi. Data yang digunakan mencakup data konsentrasi PM2.5, dan data meteorologi berupa curah hujan, suhu udara, kecepatan dan arah angin. Metode analisis yang digunakan adalah analisis deskriptif dan statistik pengaruh faktor meteorologi terhadap konsentrasi PM2.5. Hasil penelitian menunjukkan bahwa konsentrasi maksimum dan minimum PM2.5 harian tahun 2022 adalah 30,34 μg/m ³ dan 8,01 μg/m ³. Tahun 2023, nilai maksimum dan minimum PM2.5 adalah 31,31 μg/m ³ dan 12,71 μg/m ³. Hal ini menunjukkan bahwa nilai ambang batas PM2.5 harian masih di bawah NAB, yaitu sebesar 55 μg/m ³ . Konsentrasi maksimum dan minimum PM2.5 bulanan untuk tahun 2022 pada bulan Maret adalah sebesar 39,51 μg/m ³ dan 9,32 μg/m ³. Tahun 2023, konsentrasi maksimum terjadi di bulan Agustus, yaitu 82,83 μg/m ³, dan minimum terjadi pada bulan Maret sebesar 5,29 μg/m ³. Konsentrasi tahun 2022 dan 2023 dihitung sebesar 20,06 μg/m ³ dan 22,30 μg/m ³. Hasil tersebut berada di atas nilai ambang batas tahunan yang telah ditetapkan yaitu 15 μg/m ³. Berdasarkan hasil analisis regresi memperlihatkan pada tahun 2022 faktor curah hujan dan suhu udara signifikan terhadap konsentrasi PM2.5 namun tidak untuk kecepatan angin. Nilai koefisien korelasi curah hujan dan kecepatan angin adalah negatif, sedangkan suhu udara bernilai positif. Tahun 2023 curah hujan dan suhu udara berpengaruh hampir signifikan, sedangkan kecepatan angin tidak signifikan dengan nilai koefisien korelasi sama dengan tahun 2022.
Driving Factors Influencing Watershed Management and Sustainability: A Systematic Review Taslim, Ivan; Basuni, Sambas; Purwanto, Moh. Yanuar Jarwadi; Santikayasa, I Putu
Indonesian Journal of Environmental Management and Sustainability Vol. 9 No. 3 (2025): September
Publisher : Magister Program of Material Science, Graduate School of Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/ijems.2025.9.3.115-133

Abstract

Watershed management and sustainability have gained significant global attention due to escalating environmental, socioeconomic, and governance challenges. This study presents a Systematic Literature Review (SLR) aimed at identifying and synthesizing key driving factors that influence watershed management and sustainability. A comprehensive search was conducted exclusively in the Scopus database, covering publications from 2013 to 2023. Through PRISMA-based screening and thematic analysis of 193 relevant studies, a total of 37 driving factors were identified. These factors were classified into three main domains: biophysical (7 factors), socio-economic (13 factors), and institutional (17 factors). The findings reveal that institutional factors are most prominently emphasized, followed by socio economic and biophysical dimensions. This synthesis provides a holistic understanding of the complex and interconnected elements that drive watershed sustainability. The insights derived are intended to inform future research, support evidence-based policymaking, and strengthen integrated watershed management practices across diverse geographic and socio-political contexts. The search employed multiple keyword combinations, including ”watershed”, ”catchment”, ”river basin”, ”drivers”, ”influencing factors”, and ”determinants”, ensuring broader thematic coverage within the Scopus database.
Co-Authors . Agis Akhmad Faqih Alfi Rizky Sanusi Ali Wardhana Amsari Mudzakir Setiawan Amsari Mudzakir Setiawan, Amsari Mudzakir Ana Turyanti Andika, Steven Andini, Fitri Yusti Andini, Nastiti Apip Apip Arif Ma'rufi Azizi, Iqbal Hanun Bambang Dwi Dasanto Danang Eko Nuryanto Dede Dirgahayu Domiri, Dede Dirgahayu Donaldi Sukma, Permana Findy Renggono Fitri Yusti Andini Flegor Hermes Sabuna Giarno Giarno Hariyadi, Hariyadi I Nengan Muliarta Iqbal Hanun Azizi Istiqomah, Sifa Ivan Taslim Ivan Taslim Kartika, Qurrata A'yun Kii, Meriana Ina Marjuki Marjuki Marliana Tri Widyastuti Mauludiyyatus Syarifah Muh Taufik Muh. Taufik Muh. Taufik Okhy Wiranta, Dimas Patri, Syiskhaeka Prasetya, Dimas Ardi Pratikasiwi, Hilda Ayu Priambodo, Oktanindita Qonita, Ismi Rizqi Rachmat Fajar Lubis Rini Hidayati Rizaldi Boer RR Mashita Fauzia Hannum Samba Wirahma Sambas Basuni Setena, Made Setini, Made Siswanto Siswanto Siti Maesaroh Soenardi Soenardi Sopaheluwakan, Ardhasena Sulistiani Sulistiani, Sulistiani Supari Supari Supari Suria Darma Tarigan Suwarto Syarifah Mumtazah Tania June Wibawanty, Dinda Rosyia Widyastuti, Marliana Tri Yanuar Henry Pribadi Yanuar Jarwadi Purwanto Yonny Koesmaryono