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All Journal MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Ilmu Pertanian Indonesia Agromet Forum Pasca Sarjana Jurnal Ilmu Tanah dan Lingkungan (Journal of Soil Science and Environment) JOURNAL TEKNIK SIPIL DAN INFRASTRUKTUR Jurnal Ilmu Lingkungan Jurnal Perikanan dan Kelautan JURNAL TEKNOLOGI LINGKUNGAN Journal of Tropical Soils Jurnal Keteknikan Pertanian Sains Tanah Majalah Geografi Indonesia Jurnal Penelitian Hutan Tanaman Agrovigor: Jurnal Agroekoteknologi Jurnal Sumberdaya Lahan Journal of Degraded and Mining Lands Management Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Agroteknos Agrokreatif Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Tataloka Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Caraka Tani: Journal of Sustainable Agriculture Informatika Pertanian JTERA (Jurnal Teknologi Rekayasa) Jurnal Irigasi Jurnal Penelitian Pengelolaan Daerah Aliran Sungai Journal of Environmental Engineering & Waste Management Forest and Society Musamus AE Featuring Journal Jurnal Sumberdaya Lahan Jurnal Tanah dan Iklim Jurnal Penelitian Kehutanan Wallacea Policy Brief Pertanian, Kelautan, dan Biosains Tropika
Suria Darma Tarigan
Departemen Ilmu Tanah Dan Sumberdaya Lahan, Fakultas Pertanian IPB, Jl. Meranti Kampus IPB Dramaga, Bogor 16680
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Mechanical Engineering Social Sciences

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Modelling of mechanical roots on slope stability Yulia Amirul Fata; Hendrayanto Hendrayanto; Erizal Erizal; Suria Darma Tarigan; Takeshi Katsumi
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.2023.104.4779

Abstract

Root system mechanical reinforcement through root-soil cohesion on slope stability is important. However, the root cohesion of Tectona grandis, Maesopsis eminii, and shrubs (Chromolaena odorata) on slope stability is rarely studied and modelled. This study aimed to model the mechanical effect of vegetation through root cohesion, namely teak (Tectona grandis), Maesopsis eminii, and shrubs (Chromolaena odorata). The study was conducted in a simultaneous landslide on January 1, 2020, that dominantly occurred on vegetated slopes of Sukajaya District, Bogor Regency, West Java. The Wu model's root cohesion (CR) was modelled on slope stability using a modified Bishop model. The modelling used the data from field and laboratory-measured. The study found that the presence of a root system increases slope stability's factor of safety (FOS). The root system of young Maesopsiss eminii produces the largest effect of FOS compared to the root system of shrubs, teak, and old Maesopsis eminii. The slope stability of vegetated slopes is a function of the CR and the effective root zone depth. The highest total CR of vegetation was teak with 0.398 kPa, followed by shrubs, young Maesopsis eminii, and old Maesopsis eminii with 0.202 kPa, 0.191 kPa, and 0.087 kPa, respectively. The effective root zone of teak, young Maesopsis eminii, and shrub were 500, 230, 140, and 66 cm, respectively.
Characteristics of soil physical properties in different soil management of oxisols and inceptisols Naro Pandapotan Pasaribu; Enni Dwi Wahjunie; Suria Darma Tarigan
Agrovigor Vol 16, No 2 (2023)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/agrovigor.v16i2.19869

Abstract

Oil palm (Elaeis guineensis Jacq.) is a plantation crop that has a bright future. Soil management such as land clearing, burning, use of heavy equipment and fertilisation in oil palm plantations will affect changes in soil physical properties. This study aims to assess the physical properties of soil in various treatments (planting circle, dead interplant spacings and live interplant spacings) on Oxisol and Inceptisol soil types. This research was conducted in Rancabungur and Malingping Banbten in October 2021 - May 2022. The method used in this study was multistage random sampling. Soil samples were taken from the Malingping area of Banten for the Oxisol soil type (2005 and 2009 planting years), and the Rancabungur area for the 2005 Inceptisol soil type. Comparison of soil physical properties of Oxisol of 2005 planting year with Oxisol of 2009 planting year and the ratio of Oxisol soil type of 2005 planting year and Inceptisol of 2005 planting year in various treatments did not show significant differences in soil physical properties (organic matter, content weight, field capacity moisture content, permanent wilting point, and particle density) between planting circle, dead interplant spacings and live interplant spacings. However, there were significant differences in the physical properties of soil texture between each management and permeability.
PENGARUH PERUBAHAN PENGGUNAAN LAHAN TERHADAP KONDISI HIDROLOGI DAS KONAWEHA HULU PROVINSI SULAWESI TENGGARA Baco, La; Sinukaban, Naik; Purwanto, Yanuar J; Sanim, Bunasor; Tarigan, Suria Darma
Jurnal Agroteknos Vol 1, No 3 (2011)
Publisher : Jurnal Agroteknos

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

ABSTRACT Phenomena of depleting of water resources and increasing water demand have been occurring in Konaweha watershed. Combine with other conditions, Konaweha watershed have been categorized as priority watershed in Southeast Sulawesi Province. Land use change is  presumed to  influence hydrology conditions such as  the  increasing maximum discharge in rainy season, decreasing minimum discharge in dry season and also runoff coefficient increased in rainy season. The objective of this research was to evaluate the effects of land use changes on hydrology conditions such as maximum discharge, minimum discharge and runoff cpeficient. This research was conducted at Konaweha watershed for 10 months from June 2009 to March 2010.   The result of this research showed that forest, swamp,  plantation  and  bush  area  tended  to  decline  exponentially year  by  year  due  to population growth. During 1991 to 2010 forest decresed from 66,6 % in 1991 to 48,3 % in 2010. At the same time, plantation, mix garden and bush increased 26,0 % to 39,7 %, 3,0 % to 5,0 %, and 1,7 % to 3,1 % from the total of the watershed area.   The decline of forest area have significantly decreased minimum discharge of Konaweha River in dry season from 40 m3/second in 1991 to 24 m3/second in 2010. At the same time, maximum discharge increased from 246 m3/second to 284 m3/second, and runoff coefficient increased from 31,4% to 48,3 %. Key words: watershed, land use change, discharge, runoff coeficient 
Hydrological function of rewetted peatlands linked to saturated hydraulic conductivity in Kubu Raya, West Kalimantan, Indonesia Mahardika, Rabbirl Yarham; Tarigan, Suria Darma; Baskoro, Dwi Putro Tejo; Lovita, Vinni; Gangga, Adi; Asyhari, Adibtya; Fatoni, Arif; Jepri, Kristoporus; Ravelle, Adzan Pandu
Journal of Degraded and Mining Lands Management Vol. 11 No. 3 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.113.5717

Abstract

The hydrological function of peatlands, one of which is acting as a medium for storing and releasing water, undergoes alteration due to degradation. Saturated hydraulic conductivity (Ks) is a pivotal parameter for comprehending the hydraulic properties of peatlands. Ks plays a crucial role in the transmission and release of water influenced by other peat properties. This research examined the impact of Ks and selected peat properties, namely bulk density and available water content, to depict the hydrological function in rewetted peatlands. The study sites are rubber plantation (RB), oil palm plantation (OP), and drained secondary forest (SF). Results revealed a significantly higher Ks in OP (106.7 cm hr-1) compared to RB (19.56 cm hr-1) and DSF (15.1 cm hr-1). The hydrological function at all study sites was categorized as high, with minor degradation in OP and moderate degradation in RB and SF. Nonetheless, these findings necessitate fundamental interpretation and adjustment. The outcomes of this study can be utilized to prioritize rewetting efforts in the study sites, emphasizing the importance of prioritizing immature peat (fibric) with high Ks.
Jati Diri Insan Akademik : Jati Diri Insan Akademik IPB, DGB; Sarma, Ma'mun; Damar, Ario; Sudradjat; Tarigan, Suria Darma; Setiyono, Agus; Sumiati; Siregar, Ulfah Juniarti; Hariyadi, Purwiyatno; Hasim; Kolopaking, Lala M.; Fahmi, Idqan; Oktariza, Wawan; Damayanthi, Evy; Setiadi, Mohamad Agus; Nahrowi; Sri Purwaningsih, Sri
Policy Brief Pertanian, Kelautan, dan Biosains Tropika Vol 6 No 2 (2024): Policy Brief Pertanian, Kelautan dan Biosains Tropika
Publisher : Direktorat Kajian Strategis dan Reputasi Akademik IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/agro-maritim.0602.856-862

Abstract

Perguruan tinggi sebagai tempat insan akademik berkiprah saat ini mengalami berbagai tantangan dan ancaman yang dapat mengganggu fungsinya sebagai pusat pengembangan ilmu pengetahuan dan teknologi (iptek), serta menjadi penjaga keberlanjutan peradaban dan moralitas insan akademik agar tidak terdistorsi dan tererosi. Kemajuan teknologi (khususnya teknologi informasi), dekadensi moral global, tekanan ekonomi, orientasi praktis dan fokus pada pencapaian jangka pendek, perubahan paradigma pendidikan serta iklim ketidakpastian, menjadikan nilai-nilai tradisional perguruan tinggi terancam tergeser menjadi mesin penghasil tenaga kerja semata. Perguruan tinggi, yang seharusnya berperan sebagai benteng terakhir penjaga nilai-nilai akademik, serta sebagai agen perubahan (agent of change) yang berorientasi pada nilai kebaikan dan penjaga nilai moral (guardian of value), perlu jati diri insan akademik yang unggul, sehingga peran dan fungsi perguruan tinggi dapat tetap dipertahankan. Untuk memberikan pertimbangan dalam upaya menjaga tersebut, Policy Brief ini disusun melalui serangkaian proses diskusi anggota tim PAH Jati Diri Insan Akademik dan proses FGD yang melibatkan narasumber internal dan eksternal IPB. Policy Brief ini diakhiri dengan rekomendasi yang dapat diusulkan kepada penyelenggara pendidikan tinggi Indonesia agar fungsi perguruan tinggi dan insan akademik dapat tetap terjaga
Why is Multi-Business Forestry Needed to Overcome the Low Performance of Forestry Governance and Food Security in Indonesia? Suryanto, Suryanto; Nurrochmat, Dodik Ridho; Tarigan, Suria Darma; Siregar, Iskandar Zulkarnaen; Yassir, Ishak; Silalahi, Mangarah; Mansur, Irdika; Harisson, Rhett D.; Wahyudi, Agus; Abdulah, Lutfy
Forest and Society Vol. 8 No. 2 (2024): DECEMBER
Publisher : Forestry Faculty, Universitas Hasanuddin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24259/fs.v8i2.32529

Abstract

The 0.6% contribution of the forestry sector to GDP is considered very low despite 64.1% of Indonesia's land area being allocated as forests. Most of the 64.8% production forest allocated is not yet optimized for strengthening national food security, in which Indonesia is ranked 65th in the world. Therefore, an innovative forest management system is needed to synergize timber and non-timber production. This paper presents a multi-business forestry (Mb-F) implementation strategy analyzed through a dynamic system-based multi-criterion decision-making tool named Super Model Mb-F (SM Mb-F). SM Mb-F is built based on a causal loop diagram (CLD), which describes the dynamic relationship between land typology suitability and decisions related to the type of business, commodities, land use area, workload, and financing for many variables relating to 5M business principles and sustainability. Results showed that CLD formulated in 280 sub-models in a total of 4,764 decision variables with an error deviation of 6.4%. The SM Mb-F simulation on two sample concession units produces a projected increase in wood supply, employment, and state revenue, plus the provision of new functions such as food, NTFP, and environmental services. These benefits are obtained by business feasibility. Assuming that gradually until 2030, the Mb-F can be implemented in 32% of Indonesia's production forests, then by 2045, it is projected that there will be an increase in wood production by 296.8%, state revenue by 654.3%, and labor absorption by 985.7%, as well as adding food production up to 19.36 M tons. This is because the land use efficiency of the current operation of forest concessions following the Annual Allowable Cut (AAC) under the selective cutting and replanting system in Indonesia (TPTI) is only about 3% of the total area of forest concession. Assuming the cutting cycle is 35 years, timber could be extracted in 1/35 of the total forest concession area. Implementing Mb-F will significantly improve the land use efficiency from about 3% to 90%.  The Mb-F will also restrain the rate of decline in carbon stocks, which is deeper if governance is still under the BAU scenario. This research suggests further global research, emphasizing the importance of innovative models for sustainable forestry governance and food security worldwide.
Evaluasi Algoritma Machine Learning untuk Klasifikasi dan Prediksi Penggunaan Lahan Nugraha, Fajar; Baskoro, Dwi Putro Tejo; Tarigan, Suria Darma
Majalah Geografi Indonesia Vol 39, No 1 (2025): Majalah Geografi Indonesia
Publisher : Fakultas Geografi, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/mgi.99150

Abstract

Abstrak. Pemantauan, perencanaan, dan pengelolaan sumberdaya lahan membutuhkan data penggunaan lahan yang akurat. Banyak penelitian telah dilakukan mengenai klasifikasi dan prediksi penggunaan lahan. Namun, penelitian terkait penentuan metode klasifikasi dan prediksi yang akurat masih sangat penting. Penelitian ini bertujuan untuk mengevaluasi algoritma machine learning dalam klasifikasi dan prediksi penggunaan lahan serta menganalisis perubahan penggunaan lahan tahun 2002- 2032. Area studi penelitian ini yaitu Sub DAS Tanralili, klasifikasi menggunakan Dzetsaka dengan algoritma seperti kNN, GMM, RF, dan SVM, dan prediksi menggunakan MOLUSCE dengan model CA yang dikombinasi dengan ANN, LR, WoE, dan MCE. Model dievaluasi menggunakan overall accuracy dan kappa, akurasi tertinggi pada tahun 2002, 2012, dan 2022 masing-masing adalah kNN (kappa 0,92), SVM (kappa 0,86), dan GMM (kappa 0,74). Algoritma SVM memiliki kappa rata-rata tertinggi untuk klasifikasi sebesar 0,83, sedangkan model CA-ANN menunjukkan nilai kappa tertinggi untuk prediksi sebesar 0,65. Pada periode 2002-2022, terjadi penurunan hutan sekunder (4.184,0 ha), pertanian lahan kering (1.259,3 ha), dan badan air (328,0 ha), sedangkan peningkatan pada semak belukar (5.303,3 ha), sawah (367,0 ha), padang rumput (64,5 ha), dan permukiman (36,5 ha). Pada periode 2022-2032 menunjukkan penurunan hutan sekunder (554,2 ha), sawah (332,6 ha), padang rumput (192,8 ha), dan badan air (33,4 ha), sedangkan peningkatan pada semak belukar (700,9 ha), pertanian lahan kering (401,1 ha), dan permukiman (1,1 ha). Abstract. Monitoring, planning, and managing land resources require accurate land use data. Many studies have been conducted on land use classification and prediction. However, research related to determining accurate classification and prediction methods is still very important. This study aimed to evaluate machine learning algorithms in land use classification and prediction and analyzed land use change from 2002 to 2032. The study area of this research was the Tanralili Sub Watershed, with classification using Dzetsaka and algorithms such as kNN, GMM, RF, and SVM, and prediction using MOLUSCE with the CA model combined with ANN, LR, WoE, and MCE. The models were evaluated using overall accuracy and kappa; the highest accuracy in 2002, 2012, and 2022 were kNN (kappa 0.92), SVM (kappa 0.86), and GMM (kappa 0.74), respectively. The SVM algorithm had the highest average kappa for classification at 0.83, while the CA-ANN model showed the highest kappa value for prediction at 0.65. In the period 2002-2022, there was a decrease in secondary forests (4,184.0 ha), dry land agriculture (1,259.3 ha), and water bodies (328.0 ha), while an increase in shrubs (5,303.3 ha), rice fields (367.0 ha), grasslands (64.5 ha), and settlements (36.5 ha). The 2022-2032 period predicted a decrease in secondary forests (554.2 ha), rice fields (332.6 ha), grasslands (192.8 ha), and water bodies (33.4 ha), while an increase in shrubs (700.9 ha), dry land farming (401.1 ha), and settlements (1.1 ha). Submitted: 2024-08-14 Revisions:  2024-11-13 Accepted: 2025-02-17 Published: 2025-02-17 
Assessing Land Use Intensity and Ecosystem Service Dynamics in Citarum Watershed, Indonesia Irmadi Nahib; Widiatmaka Widiatmaka; Suria Darma Tarigan; Wiwin Ambarwulam; Fadhlullah Ramadhani
Caraka Tani: Journal of Sustainable Agriculture Vol 40, No 2 (2025): In press April
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/carakatani.v40i2.93122

Abstract

Changes in land use and land cover (LULC) significantly impact ecosystem services (ES), often leading to land degradation and disrupting natural balance. This study examines how LULC changes have influenced total ecosystem services (TES) in Citarum Watershed over the past decade. Specifically, researchers analyze (1) the shifts in LULC and key ES components—water yield (WY), soil conservation (SC), and carbon storage (CS)—from 2010 to 2020, (2) the spatial relationship between land use intensity (LUI) and ES, and (3) the synchronization and distribution patterns of LUI and TES using a coupling coordination degree (CCD) model. The findings reveal significant LULC changes between 2010 and 2020, with bare/shrubland and agricultural areas expanding by 88.37% and 2.25%, while forest land and lakes declined by 0.78% and 0.09%. These transformations affected ES values, as WY and CS decreased by 15.01% and 4.98%, whereas SC increased by 12.03%. Overall, TES declined by 7.54%, with the steepest reduction (17.70%) observed in the downstream region. The coupling coordination analysis highlights an imbalance between LUI and TES, with 65 to 68% of sub-districts classified as imbalanced. These results underscore the urgent need for integrated land-use planning strategies to restore ecosystem balance and promote sustainability in Citarum Watershed.
Comparison of Sugarcane Drought Stress Based on Climatology Data using Machine Learning Regression Model in East Java Aries Suharso; Yeni Herdiyeni; Suria Darma Tarigan; Yandra Arkeman
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 2 (2025): April 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i2.6159

Abstract

Crop Water Stress Index (CWSI), derived from vegetation features (NDVI) and canopy thermal temperature (LST), is an effective method to evaluate sugarcane sensitivity to drought using satellite data. However, obtaining CWSI values ​​is complicated. This study introduces a novel approach to estimate CWSI using climatological data, including average air temperature, humidity, rainfall, sunshine duration, and wind speed features obtained from the local weather station BMKG Malang City, East Java, for the period 2021-2023. Before estimating CWSI, we analyzed sugarcane water stress phenology, examined the strength of the correlation between climatological features and CWSI, and looked at the potential for adding lag features. Our proposed prediction model uses climatological features with additional Lag features in a machine learning regression approach and 5-fold cross-validation of the training-testing data split with the help of optimization using hyperparameters. Different machine learning regression models are implemented and compared. The evaluation results showed that the prediction performance of the SVR model achieved the best accuracy with R2 = 90.45% and MAPE = 9.55%, which outperformed other models. These findings indicate that climatological features with lag effects can effectively predict water stress conditions in rainfed sugarcane if using an appropriate prediction model. The main contribution of this study is the utilization of local climatological data, which is easier to obtain and collect than sophisticated satellite data, to estimate CWSI. The application of the results shows that climatological data with lag effects can accurately estimate water stress conditions in rainfed sugarcane. In drought-prone areas, this strategy can help sugarcane farmers make better choices about land management and irrigation.
The modeling of earthquake disaster mitigation in Bulukumba Regency: A stakeholder approach Ahmad, Despry Nur Annisa; Tarigan, Suria Darma; Tjahjono, Boedi; Sitanggang, Imas Sukaesih; Sakti, Harry Hardian
Journal of Degraded and Mining Lands Management Vol. 12 No. 4 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.124.8247

Abstract

Bulukumba Regency, located along the Walanae Fault and within a seismic gap zone, indicates the potential for future earthquake recurrence. However, the regional and community capacity to address earthquake hazards remains weak, as evidenced by the lack of regulations accommodating earthquake studies in Bulukumba. This study aimed to design an earthquake mitigation model based on a stakeholder approach in Bulukumba Regency. The methodology employed MACTOR (Matrix of Alternatives for Choice and Trade-Offs), utilizing survey and questionnaire data. The output is a framework for policymakers in earthquake mitigation activities. The results suggested two effective alternative models: (i) a stakeholder formulation model based on role capacity and (ii) a time segmentation model for stakeholder involvement in earthquake mitigation. Based on these two models, it is essential to establish strong coordination and collaboration among these actors in order to minimize the impact of disasters on both the community and the environment.
Co-Authors . Asisah . Hikmatullah . HIKMATULLAH Afri Fajar Agus Setiyono Agus Wahyudi AH. Maftuh Hafidh Zuhdi Ai Dariah Alim, Nurmaranti Andria Harfani Qalbi Aries Suharso Ario Damar Asisah, . Asyhari, Adibtya Atang Sutandi Austin Ullyta Baba Barus Bambang Dwi Dasanto Bambang Hendro Trisasongko Bandung Sahari Bejo Slamet Boedi Tjahjono Budi Kartiwa Budi Kuncahyo Budi Nugroho Bunasor Sanim Cahyo Wibowo Darda Effendi Dede Sulaeman Dede Sulaeman, Dede Desi Nadalia Despry Nur Annisa Ahmad, Despry Nur Annisa Dodik Ridho Nurrochmat Dudung Darusman Dwi P T Baskoro Dwi Putro Tejo Baskoro Dyah Retno Panuju Enni Dwi Wahjunie Enni Dwi Wahyunie Erizal , ERNA SURYANI Erwin Hermawan Evy Damayanthi Fadhlullah Ramadhani Fajar Nugraha Faqihna Pidin Fata, Yulia Amirul Fatoni, Arif Fitriani Hayati Gangga, Adi Gunadi Firdaus Haki Yusdinar Hari Agung Haris Syahbuddin Harisson, Rhett D. Hasim Hefni Effendi Hendrayanto . Hengky Wijaya Hery Widijanto Hidayat Pawitan Hidayat Pawitan Hidayat Pawitan Hidayat Pawitan Hidayat Pawitan I Nengah Surati Jaya Idqan Fahmi Iin Ichwandi Imas Sukaesih Sitanggang IPB, DGB Irdika Mansur Irmadi Nahib Irwan Irwan Ishak Yassir ISKANDAR ZULKARNAEN SIREGAR Jamhari Jamhari Jepri, Kristoporus kartika triasary Kerstin Wiegand Kiki Rishki Ananda Kukuh Murtilaksono Kukuh Murtilaksono Kukuh Murtilaksono La Baco S Laksono Trisnantoro Lala M Kolopaking Latief Mahir Rachman Lutfy Abdulah M Agus Setiadi M. Sri Saeni M. Yanuar J. Purwanto Ma'mun Sarma Mahardika, Rabbirl Yarham Mahendra Harjianto Mahendra Harjianto Mariana Lusia Resubun Mariana Lusiana Resubun Marimin , Marisa Dwi Putri Meilasari, Nabilla Muhammad Buce Saleh Muhammad Yanuar J. Purwanto Nahrowi Naik Sinukaban Naik Sinukaban Naik Sinukaban Naik Sinukaban Naik Sinukaban Naik Sinukaban Najla Anwar Fuadi Naro Pandapotan Pasaribu Nevky Emiraj Saputra Nicko Widiatmoko Novia Mustikasari Nurdiyanto Agung Prasetya Nurlaila Mubarokah Nurmaranti Alim Oktariza, Wawan Omo Rusdiana Oteng Haridjaja Oteng Haridjaja Oteng Haridjaja Patri, Syiskhaeka Prasetya, Nurdiyanto Agung Pungkas Syahadat Purwanto, Yanuar Jarwadi Purwiyatno Hariyadi Qalbi, Andria Harfani Ravelle, Adzan Pandu Reni Kusumo Tejo Reyna Prachmayandini Reza Hanjaya Rikky Mulyawan Rima Purnamayani Rudolf Kristian Tukayo Saiful Akhyar Lubis Sakti, Harry Hardian Santikayasa, I Putu Santun R.P Sitorus Santun R.P. Sitorus Sarif Robo Selamet Kusdaryanto Silalahi, Mangarah Sri Purwaningsih, Sri Sudradjat Sudradjat Sudradjat Sumiati Sunarti Sunarti Sunarti Sunarti Suprihatin Suprihatin Surya Cipta Ramadhan Kete Suryanto Suryanto Syafrani Syafrani Takeshi Katsumi Tania June Trihono Kadri Tukayo, Rudolf Kristian Ulfah Juniarti Siregar Ulfah Sarach Sheftiana Untung Sudadi Veybi Djoharam Vinni Lovita Widiatmaka Widiatmaka Widiatmaka Widya Ulfah Utami Wiwin Ambarwulam Yandra Arkeman Yayat Hidayat Yudha Kristanto Yulia Amirul Fata Yunita Lisnawati Yuri Ardhya Stanny Yusdinar, Haki Yustika, Rahmah Dewi Yusuf, Sri Malahayati