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All Journal Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Teknologi Industri Pertanian Jurnal Ilmu Tanah dan Lingkungan Indonesian Journal of Geography SOCA: Jurnal Sosial Ekonomi Pertanian Jurnal Pembangunan Wilayah dan Kota Jurnal Presipitasi : Media Komunikasi dan Pengembangan Teknik Lingkungan Media Komunikasi Geografi JEJAK Jurnal Kawistara : Jurnal Ilmiah Sosial dan Humaniora Majalah Geografi Indonesia Jurnal Pengkajian dan Pengembangan Teknologi Pertanian Journal of Degraded and Mining Lands Management AGRIVITA, Journal of Agricultural Science Journal of Regional and City Planning Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan Jurnal Tataloka Journal of Applied Geospatial Information MAJALAH ILMIAH GLOBE Jurnal SEPA (Social Economic and Agribusiness Journal) Informatika Pertanian Syntax Literate: Jurnal Ilmiah Indonesia IT JOURNAL RESEARCH AND DEVELOPMENT Journal of Regional and Rural Development Planning Astonjadro Jurnal Ilmiah Ilmu Sosial Jambura Geoscience Review Agrotechnology Research Journal Jurnal Risalah Kebijakan Pertanian dan Lingkungan International Journal of Business, Economics, and Social Development International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Kawistara
Khursatul Munibah
Departemen Ilmu Tanah Dan Sumberdaya Lahan, Fakultas Pertanian, IPB University, Kampus IPB Dramaga, Bogor 16680, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Physics Social Sciences Transportation Other

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Potential Decline in Domestic Rice Production Due to the Degradation of Land Functions from Paddy Fields to Other Uses: a Case Study in Banyumas Regency, Central Java, Indonesia Bondansari Bondansari; Widiatmaka Widiatmaka; Machfud Machfud; Khursatul Munibah; Wiwin Ambarwulan
Agrotechnology Research Journal Vol 9, No 1 (2025): Agrotechnology Research Journal
Publisher : Perkumpulan Agroteknologi/Agroekoteknologi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/agrotechresj.v9i1.102718

Abstract

Access to food is a human right. The destruction of paddy fields due to changes in use in various regions in Indonesia affects the national food supply. The contribution of domestic rice is decreasing, and the dependence on imported rice is increasing. In the long term, this phenomenon will threaten efforts to fulfil the adequacy of the staple food rice for the growing population, thereby increasing the potential for a food crisis. This study analyses the decline in domestic rice sufficiency due to the destruction of paddy fields in Banyumas Regency, Central Java Province. The method used in this study is mixed, consisting of visual image interpretation, map overlay, and descriptive quantitative analysis. The results showed that the average rate of destruction of paddy fields in Banyumas Regency from 2007 to 2019 was 102.6 hectares per year, concentrated around Purwokerto District, which is the capital of Banyumas Regency . The potential loss of rice production is 1,189,580 kilograms per year of harvested dry grain, equivalent to IDR 5,709,984,000.00. 
THE ROLE OF LAND REDISTRIBUTION CERTIFICATES FOR THE IMPROVEMENT OF COMMUNITY WELFARE IN WEST PASAMAN DISTRICT Monsaputra Monsaputra; Khursatul Munibah; Dyah Retno Panuju
SEPA: Jurnal Sosial Ekonomi Pertanian dan Agribisnis Vol 21, No 1 (2024): FEBRUARY
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/sepa.v21i1.60949

Abstract

Land redistribution of landreform objects was a government program to reorganize the control, and ownership of land in a just manner. West Pasaman Regency is one of the regions that implements land redistribution and encourages the use of certificates as collateral to access capital. There were 871 land redistribution certificates used for collateral in 2009 - 2018 (7.79%). West Pasaman Regency is currently in the fourth position with the highest number of poor people in West Sumatra Province. This study aims to analyze the effect of capital utilization on public welfare. The methods of analysis used were quantitative with surveys and the data analysis technique used was a correlation. In general, the majority (75%) of utilization of land redistribution certificates to obtain loans were related to agricultural activities. The role of certificate collateralization in reducing poverty was indicated by the slight drop of poverty proportion from 12% before the use of land-certificate for obtaining loan to 7% afterwards. The relationship between expenditure before and expenditure after additional capital from land certificate appears significant.
ADOPTION OF THE PsPSP PACKAGE, PRODUCTIVITY, AND FARM FEASIBILITY OF SMALLHOLDER COCOA IN LUWU, SOUTH SULAWESI Taofik Herdian Nugraha; Widiatmaka; Khursatul Munibah
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 5 No. 10 (2026): SEPTEMBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.22892835

Abstract

Smallholder cocoa productivity in Indonesia remains low, and the PsPSP cultural-control package (frequent harvesting, pruning, sanitation, fertilisation) is usually evaluated as a single bundle, so adoption of its individual components is rarely reported. This study describes adoption of the PsPSP components and their relationship with productivity and farm feasibility among smallholder cocoa farmers in Luwu Regency, South Sulawesi. Data were collected from 92 respondents across five cocoa-producing sub-districts. The sample was drawn with the Slovin formula from 1,165 mapped cocoa garden polygons, stratified by land cover and land suitability. Distributions are reported as medians with interquartile ranges. Only two components could be quantified, and adoption was uneven: fertilization was almost universal (91.3%) but overwhelmingly inorganic (organic fertilization only 7.6%), whereas pruning was practiced by fewer than half of the respondents (47.8%). Garden sanitation and frequent harvesting could not be quantified because these variables were not recorded. Median productivity was 226 kg/ha/year, less than one third of the smallholder average reported previously. Tree populations fell below the recommendation for 93.4% of respondents, while median stand age was only 11 years, indicating that planting density rather than stand age is the binding constraint. The enterprise is feasible on a cash cost basis (R/C 4.51), but only because reference cash costs are low; with a median garden of 0.44 ha the income actually received had a median of IDR 1.97 million per year, far below the provincial minimum wage. Production figures are self-reported, as 98.4% of producing respondents keep no farm records.
The prediction of land use and land cover change and its impact on soil erosion and sedimentation in the Musi Hydropower-Plant catchment area in Bengkulu Province Sukisno, Sukisno; Widiatmaka, Widiatmaka; Purwanto, Moh. Yanuar Jarwadi; Noorachmat, Bambang Pramudya; Munibah, Khursatul
Journal of Degraded and Mining Lands Management Vol. 10 No. 4 (2023)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2023.104.4629

Abstract

The Musi Hydropower-Plant catchment area is susceptible to soil erosion and sedimentation. Therefore, this research aimed to predict land use and land cover changes (LULCC) as well as their impact on soil erosion and sedimentation in the Musi Hydropower-Plant catchment area. The prediction of LULCC was calculated using Land Change Modeler module on IDRISI Terrset, while soil erosion and sedimentation were estimated with the Revised Universal Soil Loss Equation (RUSLE) and Sediment Delivery Ratio (SDR) models. The result showed that forest cover and paddy fields decreased significantly from 18.580 ha and 4.044 ha to 12.907 ha and 2.019 ha, respectively, in the periods of 1993 to 2019 and were predicted to reduce until 2032. Meanwhile, the built-up area and dry agricultural land increased from 818 ha and 2.116 ha in 1993 to 2.229 ha and 5.778 ha in 2019, which is expected to increase until 2032. The estimation of soil erosion rate also gave an increase from 75 t/ha/year to 113 t/ha/year, continuing to reach 122 t/ha/year until 2032. The escalation of soil erosion rate contributed to the change of sediment yield from 68.048 t/year in 1993 to 103.190 t/year in 2019,which is estimated to reach 111.028 t/year. These results are expected to be used by decision-makers and policymakers for the operation of the Musi Hydropower-Plant and the catchment area maintenance.
Klasifikasi Fase Tumbuh Padi dengan Pendekatan Berbasis Objek Menggunakan Citra Sentinel-2 Muhammad Ardiansyah; Khursatul Munibah; Siti Nur Saniinah
Jurnal Ilmu Tanah dan Lingkungan Vol 25 No 2 (2023): Jurnal Ilmu Tanah dan Lingkungan
Publisher : Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitl.25.2.78-85

Abstract

Pemantauan tanaman padi di Indonesia didukung oleh pemerintah daerah di tingkat kecamatan. Praktik tersebut membutuhkan dana yang besar dan dinilai kurang efisien. Opsi lain adalah pemanfaatan data Penginderaan Jauh menggunakan citra satelit gratis Sentinel-2 untuk memantau pertumbuhan padi secara spasio temporal dan pada wilayah yang lebih luas. Citra Sentinel-2 didesain untuk mendukung pemantauan pertanian. Untuk memantau fase tumbuh padi dapat dilakukan dengan klasifikasi berbasis piksel, tetapi pendekatan ini memiliki keterbatasan munculnya salt and pepper yang mengganggu hasil dan akurasi klasifikasi. Pendekatan klasifikasi Object-Based Image Analysis dapat mengatasi fenomena ini dan lebih baik dalam meniru persepsi manusia terhadap objek. Penelitian ini bertujuan untuk mengidentifikasi fase tumbuh padi pada citra Sentinel-2 dengan pendekatan klasifikasi berbasis objek, dan memantau sebaran spasio temporal fase tumbuh padi. Citra Sentinel-2 dengan 10 akuisisi bulan Mei – Agustus 2021 dianalisis dengan pendekatan berbasis objek dan fase tumbuh padi diklasifikasi dengan pendekatan SVM. Hasil analisis menunjukkan bahwa fase tumbuh padi dapat diidentfikasi dan diklasifikasi dengan baik tanpa fenomena salt and pepper dengan pendekatan berbasis objek dari citra multi-temporal Sentinel-2. Ketelitian model klasifikasi SVM cukup baik dengan rata-rata akurasi 81,60. Klasifikasi SVM berbasis objek dapat memetakan sebaran fase tumbuh padi konsisten dan berlanjut dari citra multi-temporal Sentinel-2.
Estimasi Umur Padi pada Citra Sentinel-2 dengan Pendekatan Gaussian Mixture Model Muhammad Ardiansyah; Khursatul Munibah; Nadhifah Raniah
Jurnal Ilmu Tanah dan Lingkungan Vol 26 No 1 (2024): Jurnal Ilmu Tanah dan Lingkungan
Publisher : Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitl.26.1.21-28

Abstract

Pemantauan fase tumbuh atau umur tanaman padi dilakukan untuk memperkirakan luas panen dan produksi tanaman padi. Teknologi penginderaan jauh dapat melakukan pemantauan umur tanaman padi salah satunya menggunakan citra Sentinel-2. Penelitian ini bertujuan untuk mengidentifikasi umur tanaman padi, dan memetakann dan memantau sebaran spasio temporal umur padi dengan klasifikasi GMM pada citra multi-temporal Sentinel-2. Klasifikasi GMM merupakan salah satu metode yang sederhana dengan basis fungsi kepadatan. Penelitian dilakukan di lahan sawah Dinas Pertanian, Perkebunan, Pangan, dan Hortikultura Kabupaten Cianjur, Provinsi Jawa Barat dengan waktu pengamatan dari bulan Mei - Agustus 2021. Hasil penelitian menunjukkan bahwa respons spektral temporal berbeda antara kanal tampak mata (biru, hijau, dan merah) dan kanal inframerah dekat, dimana ke-3 kanal tampak mata memiliki pola yang serupa dengan nilai yang lebih rendah dari kanal inframerah dekat. Klasifikasi GMM dapat menunjukkan adanya kontinuitas kelas umur padi pada setiap akuisisi citra dari 0 - 130 hari setelah tanam, sehingga dapat digunakan untuk memantau umur atau fase tumbuh padi.
Tren Spektral Kubis (Brassica oleracea L.) pada Beberapa Tingkat Pemupukan yang Berbeda Muhammad Ardiansyah; Khursatul Munibah; Salma Sabila; Baba Barus; Wahyu Iskandar
Jurnal Ilmu Tanah dan Lingkungan Vol 26 No 2 (2024): Jurnal Ilmu Tanah dan Lingkungan
Publisher : Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitl.26.2.77-84

Abstract

Sayuran kubis merupakan salah satu komoditas hortikultura penting yang banyak disukai sebagai lalapan atau olahan lainnya karena memiliki rasa manis yang ringan. Untuk memenuhi kebutuhan nutrisi tanaman kubis selama proses pertumbuhan pemberian pupuk merupakan praktek umum di masyakat. Mengidentifikasi, mengkarakterisasi, dan memantau tanaman sayuran campuran di lahan menggunakan menggunakan metode tradisional merupakan suatu tantangan. Pengamatan dengan data satelit optik multispektral, hiperspektral atau proximal sensing seperti spektroradiometer telah banyak digunakan untuk indetifikasi, karakterisasi dan memantau tanaman di lahan pertanian. Akan tetapi, penelitian identifikasi, diskriminasi dan pemetaan kuantitatif profil spektral kubis di Indonesia menggunakan spektroradiometer masih terbatas. Penelitian ini bertujuan untuk mengidentifikasi profil respon spektral tanaman kubis yang ditanam di lahan sempit menggunakan spektroradiometer dan untuk menganalisis respon spektral kubis terhadap perlakuan tingkat pemupukan yang berbeda. Hasil penelitian menunjukkan tren spektral tanaman kubis pada semua fase pertumbuhan memiliki tren yang mirip dengan perubahan spektral dari vegetasi hijau. Reflektansi kubis rendah pada panjang gelombang cahaya tampak dan tinggi pada panjang gelombang tepi merah dan infra merah dekat. Perlakuan pemupukan berpengaruh nyata terhadap spektral kubis pada taraf 5%. Pada fase tumbuh yang sama dengan semakin tinggi dosis pemupukan, semakin tinggi reflektansi gelombang cahaya tampak (biru, hijau dan merah), tepi merah dan infra merah dekat. Variasi nilai reflektan yang stabil meningkat pada gelombang cahaya tampak, tepi merah dan infra merah dekat ini diinterpretasi menunjukkan status pertumbuhan kubis yang baik. Pada tahapan fase tumbuh, dengan bertambahnya umur tanaman terlepas dari tingkat pemupukan, reflektansi kubis pada gelombang biru dan merah sedikit menurun, sebaliknya reflektansi kubis pada tepi merah dan infra merah dekat semakin meningkat hingga mencapai puncaknya pada 45 hari setelah tanam dan menurun setelah 63 hari setelah tanam.
Klasifikasi Tanaman Hortikultura Berbasis Citra UAV Multispektral dengan Pendekatan K-Nearest Neighbor dan Minimum Distance Arieza Andriani Nur Aina; Khursatul Munibah; Muhammad Ardiansyah
Jurnal Ilmu Tanah dan Lingkungan Vol 27 No 1 (2025): Journal of Soil Science and Environment
Publisher : Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitl.27.1.32-40

Abstract

Hortikultura merupakan subsektor pertanian yang meliputi tanaman buah, sayur, bunga, dan tanaman hias yang berperan penting dalam mendukung perekonomian nasional. Pemantauan dan penilaian budidaya hortikultura untuk menjaga dan meningkatkan kualitas produksi hortikultura dapat memanfaatkan teknologi penginderaan jauh. Citra penginderaan jauh bervariasi dari resolusi rendah seperti MODIS (1 km), sedang seperti Landsat (30 m) dan Sentinel-2A (20, 10 m), hingga tinggi seperti IKONOS (1– 4 m) dan citra Unmanned Aerial Vehicle/UAV (< 1 m). Untuk lahan pertanian hortikultura yang memiliki petakan kecil dapat digunakan UAV sebagai alternatif karena memiliki resolusi yang tinggi. Penelitian ini bertujuan menganalisis pola spektral tanaman hortikultura berdasarkan citra UAV multispektral, memetakan tanaman hortikultura dengan metode k-Nearest Neighbor (k-NN) dan Minimum Distance Classification (MDC), dan menganalisis tingkat ketelitian klasifikasi tanaman hortikultura menggunakan kedua metode tersebut. Lokasi penelitian berada di Kebun Percobaan Pasir Sarongge, Kabupaten Cianjur menggunakan data observasi lapang dan citra UAV multispektral akuisisi 6 November 2022. Analisis pola spektral sampel dilakukan dengan mengambil area sampel dari 11 kelas yang meliputi hortikultura dan non hortikultura yang selanjutnya dibuat kurva karakteristik spektral. Klasifikasi citra menggunakan metode k-NN dan MDC. Hasil penelitian menunjukkan bahwa respon spektral hortikultura pada tampak mata rendah yang mana band hijau sedikit lebih tinggi dari band merah, sedangkan pada band tepi merah terjadi peningkatan secara signifikan dan terus meningkat di band NIR. Hasil klasifikasi tanaman hortikultura pada kedua metode menunjukkan perbedaan luasan karena perbedaan algoritma pengklasifikasi. Urutan luas terbesar sampai terkecil pada k-NN adalah cabai, wortel, kentang, pisang, kubis, bawang merah, dan tomat. Sementara itu, urutan terbesar sampai terkecil pada MDC adalah cabai, pisang, wortel, kubis, kentang, bawang merah, dan tomat. Akurasi keseluruhan klasifikasi untuk k-NN dan MDC masing-masing sebesar 89.37% dan 51.48%.
KLASIFIKASI BERBASIS PIKSEL UNTUK IDENTIFIKASI DAN PEMETAAN GULMA PADA LAHAN PADI SAWAH MENGGUNAKAN CITRA DRONE MULTISPEKTRAL DAN PEMBELAJARAN MESIN Muhammad Ardiansyah; Khursatul Munibah; Syakira Rizqa Zakiyah
Jurnal Ilmu Tanah dan Lingkungan Vol 28 No 2 (2026): Journal of Soil Science and Environment
Publisher : Departemen Ilmu Tanah dan Sumberdaya Lahan, Fakultas Pertanian, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jitl.28.2.80-90

Abstract

Weeds are one of the major constraints in lowland rice cultivation because they compete with rice plants for essential growth resources and may reduce crop productivity. Rapid and accurate weed identification and mapping are therefore needed to support effective weed management. This study aimed to analyze the reflectance patterns of weeds and rice plants and to evaluate the performance of pixel-based classification using Random Forest (RF) and Support Vector Machine (SVM) algorithms on multispectral Unmanned Aerial Vehicle (UAV) imagery. The study was conducted in a 1,300 m² lowland rice field in Ciherang Village, Ciomas District, Bogor Regency, using multispectral UAV imagery acquired on October 4, 2023, before weed cleaning, and October 13, 2023, after weed cleaning. The imagery consisted of green, red, red-edge, and near-infrared (NIR) bands. Pixel samples representing weed and non-weed classes, including rice, soil, and water bodies, were selected using purposive sampling. The pixel data were then divided into training and validation datasets at a 70:30 ratio and classified using RF and SVM with default parameters in the Dzetsaka plugin. The results showed that weeds generally had higher reflectance values than rice plants, particularly in the red-edge and NIR bands, providing spectral separability that could be exploited for pixel-based classification. RF achieved 100% Overall Accuracy (OA), User's Accuracy (UA), and Producer's Accuracy (PA) on both observation dates. SVM achieved an OA of 100% on October 4, 2023, which decreased to 92.13% on October 13, 2023, with a PA of 81.65% for the weed class. Weed area estimates also differed between the two algorithms, with the average weed area estimated by RF decreasing from 5.75% to 2.50%, while that estimated by SVM decreased from 3.06% to 2.76% after weed cleaning. These findings indicate that multispectral UAV imagery combined with pixel-based classification can be used to identify and map weeds in lowland rice fields, with RF showing more consistent performance than SVM under the conditions of this study.
Co-Authors Achmad, Alfredian Ade Irawadi Adrian Adrian Agung Lukman Alfin Murtadho Alwan Rafiuddin Amira Novalinda Andrea Emma Pravitasari, Andrea Emma Andreas Ari Putro Dwinanto Ari Wijayanti Arieza Andriani Nur Aina Asdar Iswati Atang Sutandi Baba Barus Baba Barus Bambang Hendro Trisasongko Bambang Juanda Bambang Pramudya Bambang Pramudya Noorachmat, Bambang Pramudya Boedi Tjahjono Bondansari Bondansari Bondansari Budi Mulyanto Chaida Chairunnisa Chiharu Hongo, Chiharu Cipta Sekarrini Cut Hashfi Fadhila Dewi Setyowati Didit Okta Pribadi Diendra Abdul Karim Dwi Putro Tejo Baskoro Dyah Retno Panuju Dyah Tjahyandari Suryaningtyas Eggy Giofandi Eka Intan Kumala Putri Eko Fitriono Harimurti Ely Triwulan Dani Ernan Rustiadi Firdaus, Muhammad Firdaus Firmansyah , Irman Firre An Suprapto Firre An Suprapto Fredinan Yulianda Gani, Regita Chahyani Abdul Hari Agung Adrianto Hartrisari Hartrisari Hefni Effendi Hermanu Widjaja Hongo , Chiharu Indah Purnama Sari Irman Firmansyah Irman Firmansyah Iskandar Lubis Izuru Saizen Janthy Trilusianthy Hidayat Joko Mulyono Joko Mulyono Joko Mulyono Khairul Anam Komarsa Gandasasmita Komarsa Gandasasmita Kraugusteeliana Kraugusteeliana Kukuh Murtilaksono Kukuh Murtilaksono La Ode Syamsul Iman Lamidi Lamidi Latifa, Nisa Litasari, Ulfah Choerunnisa Nurul LUMBANTOBING, AGAPE Machfud Machfud Machfud Majid, Riza Nur Fajrin Monsaputra Monsaputra Monsaputra Monsaputra Monsaputra Muhamad Alkaf, Muhamad Muhamad Ilyas, Muhamad Muhammad Ardiansyah Muhammad Ardiansyah Muhammad Ardiansyah Muhammad Ardiansyah Muhammad Fikri Putra Muhlis, Taufik Muji Esti Wahyudi Mulyono, Joko Mumtadul Fikri Murtadho, Alfin Mustika Gusnia Sari Nadhifah Raniah Nia Rachmawati Nita Inopianti Nur Fa'izah Zainal Nurwadjedi Nurwadjedi, Nurwadjedi Omo Rusdiana Paulus B.K. Santoso Penggayuh, Dinda Pramita, Viona Pramusintha Nugraha Purwanto, Yanuar Jarwadi Rani Yudarwati Rani Yudarwati Ratna, Ni Luh Made Dwi Ridwan Kun Satria Rudi P Tambunan, Rudi P Salma Sabila Santun R P Sitorus Santun R.P Sitorus Santun R.P. Sitorus Santun R.P. Sitorus Santun R.P. Sitorus Setia Hadi Setia Hadi Setia Hadi Sigit, Gunardi Siti Nur Saniinah Sri Lestari Munajati, Sri Lestari Sudarsono Sudarsono Sudarsono Sukisno Sukisno, Sukisno Suprajaka Suprajaka Syakira Rizqa Zakiyah Taofik Herdian Nugraha Toga Pandapotan Sinurat Uciningsih, Winda Ulfah Choerunnisa Nurul Litasari Untung Sudadi Wahyu Iskandar Wahyu Iskandar Wayan Wardana Widiatmaka Widiatmaka Widiatmaka Widiatmaka Wiwin Ambarwulan Wiwin Ambarwulan Wiwin Ambarwulan Yayuk Farida Baliwati Yusanto A Nugroho, Yusanto A