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All Journal HAYATI Journal of Biosciences Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) MANAJEMEN HUTAN TROPIKA Journal of Tropical Forest Management Jurnal Ilmu Pertanian Indonesia Jurnal Silvikultur Tropika (JST) MEDIA KONSERVASI Jurnal Ilmu dan Teknologi Kelautan Tropis Forum Pasca Sarjana Indonesian Journal of Geography Jurnal Ilmu Lingkungan Jurnal Keteknikan Pertanian TELKOMNIKA (Telecommunication Computing Electronics and Control) Geoplanning : Journal of Geomatics and Planning Jurnal Penelitian Hutan dan Konservasi Alam Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Forum Geografi REINWARDTIA BERITA BIOLOGI JURNAL BIOLOGI INDONESIA ZOO INDONESIA JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Biodjati Omni-Akuatika MAJALAH ILMIAH GLOBE Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Nusa Sylva Biosaintifika: Journal of Biology & Biology Education Journal of Tropical Crop Science International Journal of Remote Sensing and Earth Sciences (IJReSES) Jurnal Entomologi Indonesia Jurnal Permukiman Journal of Information Systems and Informatics Jurnal Tanah dan Iklim Zoo Indonesia Jurnal Sylva Lestari Jurnal Penelitian Kehutanan Wallacea Reinwardtia Wana Lstari The International Journal of Remote Sensing and Earth Sciences (IJReSES)
LILIK BUDIPRASETYO
Departemen Konservasi Sumberdaya Hutan Dan Ekowisata, Fakultas Kehutanan, Institut Pertanian Bogor, Kampus IPB Darmaga Bogor, 16680, Indonesia
Agriculture, Biological Sciences & Forestry Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Energy Engineering Environmental Science Immunology & microbiology Library & Information Science Materials Science & Nanotechnology Physics Social Sciences Other

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Habitat Preference of Surili Gunung Ciremai National Park Kusumanegara, Agus; Kartono, Agus Priyono; Prasetyo, Lilik Budi
Media Konservasi Vol. 22 No. 1 (2017): Media Konservasi Vol. 22 No. 1 April 2017
Publisher : Department of Forest Resources Conservation and Ecotourism - IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.295 KB) | DOI: 10.29244/medkon.22.1.26-34

Abstract

Conversion of natural forest into plantation forest at Gunung Ciremai which managed by Perum Perhutani for three decades, gaves significant destructive impacts to sulrili’s habitat and triggering surili to disperse to the more secure habitat.  After the change of forest function to conservation forest in 2004, preference habitat surili is unknowing. Therefore, the initial step of the conservation efforts to restore population were by analyzing the habitat preferences surili. Chi-square analysis and Neu analysis was used to analyze the habitat preferences surili. Research carried out from September to November 2016 in Gunung Ciremai National Park. Preferential habitats characteristic of surili on Gunung Ciremai National Park are such as elevation from 1.500 to 2.400 m above sea level, densely forest stand >50%, distance to the edge of the forest (0-665meter), distance to the settlement (0-806 meters), distance to the hiking trail (0- 1572 meters), surface temperature 16,3-18,5°C, steep slope (25-40%), preference for habitats that is secondary forest cover. Keywords: Gunung Ciremai  National Park, preferential habitat, surili
Assessment of the success of canopy cover revegetation of former coal mine lands with Forest Canopy Density (FCD) Model in Kutai Kartanegara, East Kalimantan Rosikin, Rosikin; Prasetyo, Lilik Budi; Hermawan, Rachmad
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 13 No 4 (2023): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.13.4.574-585

Abstract

Pertambangan batubara berperan penting dalam pertumbuhan perekonomian Indonesia, meskipun aktivitas tersebut berdampak negatif bagi lingkungan. Meminimalisir hal tersebut, pemerintah Indonesia mewajibkan reklamasi di lahan bekas tambang dengan salah satu indikator nya adalah keberhasilan tutupan tajuk. Saat ini belum ada metode terukur yang dapat menentukan tingkat keberhasilan tutupan tajuk pada lahan reklamasi. Penelitian ini dilakukan untuk mengembangkan metode pengukuran berbasis data remote sensing dengan pendekatan Forest Canopy Density (FCD) yang dilakukan di wilayah izin pertambangan PT. Multi Harapan Utama, Kutai Kertanegara. Pemodelan FCD dilakukan dengan mengintegrasikan 4 indeks biofisik dari pengolahan citra Landsat 8 OLI TIRS selama 2013–2021. Hubungan antara nilai FCD terhadap tutupan tajuk di lapangan menggunakan regresi linier untuk memperoleh nilai keberhasilan tutupan tajuk berdasarkan nilai FCD. Hasil pemodelan FCD menunjukan tren kenaikan setiap tahunnya, khususnya pada 2 tahun pertama setelah penanaman. Analisis regresi menunjukan hubungan kuat antara nilai FCD dengan nilai tutupan tajuk dengan R2=0,775 dan mendapatkan nilai FCD 75,35 merupakan batas keberhasilan tutupan tajuk di lahan reklamasi. Penelitian ini menunjukkan bahwa pendekatan FCD dapat diterapkan untuk menentukan tingkat keberhasilan reklamasi lahan bekas tambang
The Habitat Suitability Modelling of Rhinoceros Hornbills (Buceros rhinoceros) in Java Island, Indonesia Setiawan, Taufik; Prasetyo, Lilik Budi; Mulyani, Yeni A.; Jarulis
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 14 No 2 (2024): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.14.2.253

Abstract

Rhinoceros hornbills (Buceros rhinoceros) are a bird species belonging to the Bucerotidae family, which is vulnerable based on the IUCN red list of species. This is due to habitat fragmentation, which reduced the Rhinoceros hornbill habitat on Java. Efforts and strategies are needed to maintain Rhinoceros hornbill habitats. Information on the suitability of the Rhinoceros hornbill habitat on Java Island is required to develop a Rhinoceros hornbill conservation strategy. This study aimed to determine a habitat suitability model that produces the highest accuracy, analyze hornbill habitat suitability, and identify environmental variables that affect the existence of rhinoceros hornbills. Habitat suitability models were processed using three algorithms: random forest, support vector regression, and MaxEnt. The data used to model habitat suitability were presence and environmental variables. The model was evaluated using various accuracy measures, namely overall accuracy, sensitivity (sn), specificity (sp), Area Under Curve (AUC), and kappa coefficient. The resultsof model processing showed that the random forest algorithm produced the highest average accuracy of 0.74. The most important environmental variables for the habitat suitability model were the distance from the road (16.62%), distance from the forest (12.73%), and land cover (12.47%). The habitat suitability model was divided into three classes: low suitability, covering 75,048 km2 (55.94%); medium suitability, covering 52,911 km2 (39.44%); and high suitability, covering 6,213 km2 (4.63%). The results of the habitat suitability model showed that the habitat suitability class was the smallest in the area.
Classification of Sugarcane Area Using Landsat 8 and Random Forest based on Phenology Knowledge Sudianto, Sudianto; Herdiyeni, Yeni; Prasetyo, Lilik Budi
JOIV : International Journal on Informatics Visualization Vol 7, No 3-2 (2023): Empowering the Future: The Role of Information Technology in Building Resilien
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.3-2.1401

Abstract

Indonesia is one of the largest countries globally with an area for planting sugarcane. The current problem is that determining the planting area of sugarcane is still done conventionally; this is very limited and wastes time. Thus, knowing the sugarcane planting area becomes essential for policymaking through Remote Sensing technology. However, the challenge of Remote Sensing is the limited data due to weather and the spectral variability of other plants. So, it is necessary to classify based on phenological knowledge. The study aims to classify sugarcane areas based on phenological knowledge using Remote Sensing and Machine Learning. This application finished on the cloud platform Google Earth Engine (GEE) through Landsat 8 satellite imagery data. The knowledge of sugarcane phenology was built based on the Normalized Difference Vegetation Index (NDVI) spectral value and built with the harmonic model. In addition, classification is accomplished by object-oriented (OO) methods for segmentation classification. Object-oriented is solved by the Simple Non-Iterative Clustering (SNIC) algorithm for spatial cluster identification, the Gray-Level Co-occurrence Matrix (GLCM) for texture extraction, and the Random Forest algorithm for Land Use-Land Cover (LULC) classification. The results of the accuracy analysis using the confusion matrix and the classification of sugar cane areas based on phenological knowledge obtained the best results with an overall accuracy of 95.9% with a Kappa coefficient of 0.92. It can be concluded that a classification approach with knowledge of plant phenology can help better classify the availability of land for plantations in the future.
Optimizing cultivation system and pest management in different types of rice varieties Andryan, Ricky; Junaedi, Ahmad; Purwono; Prasetyo , Lilik Budi; Izzawati Nurrahma, Arinal Haq
Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Vol. 52 No. 2 (2024): Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy)
Publisher : Indonesia Society of Agronomy (PERAGI) and Department of Agronomy and Horticulture, Faculty of Agriculture, IPB University, Bogor, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24831/jai.v52i2.54078

Abstract

Improving rice productivity and efficiency is the main goal of cultivation techniques to meet the demand for rice production. The aim of this research was to evaluate the suitability of rice varieties in cultivation systems, namely: organic cultivation + biological pest management (BPM), inorganic cultivation + BPM, and conventional cultivation. Different types of rice varieties, namely New Superior Varieties (NSV: INPARI-30, INPARI-32), New Plant Type (NPT: IPB-3S), and Superior Varieties from West Sumatra (Batang Piaman, Anak Daro), may exhibit differences in agronomic performance across various cultivation systems. This research was conducted at the Sawah Baru Babakan Experimental Farm, IPB University, Dramaga Bogor, using a factorial nested design with 4 replications. The results based on yield per hill and plot showed that Batang Piaman and INPARI-30 varieties were suitable for all organic + BPM, inorganic + BPM, and conventional cultivational systems. The INPARI-32 and IPB-3S varieties were more suitable for conventional cultivation and inorganic + BPM; while the Anak Daro variety was better in organic cultivation + BPM. Utilizing varieties with different characteristics for better yield performance could be considered with obtaining the suitability of the cultivation system, whether organic + BPM, inorganic + BPM, or conventional. Keywords: Chemical pest control; conventional cultivation; organic cultivation; integrated pest management
INTEGRATION OF GIS AND REMOTE SENSING FOR HOTSPOT DISTRIBUTION ANALYSIS IN BERBAK SEMBILANG NATIONAL PARK Andita Minda Mora; Bambang Hero Saharjo; Lilik Budi Prasetyo
International Journal of Remote Sensing and Earth Sciences Vol. 16 No. 1 (2019)
Publisher : BRIN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30536/ijreses.v16i1.13851

Abstract

Abstract. Remote sensing is composed of many interrelated processes to be able to consider physical objects such as buildings, land, and plants which are objects that can be discussed by applications discussed in various disciplines that discuss geology, forestry, soil science, and geography. The use of GIS and remote sensing for fire monitoring has been widely used. However, this study is the first study conducted in the TNBS area after the Berbak National Park (TNB) in Jambi to join the Sembilang National Park (TNS) in South Sumatra. Hotspot distribution in this study was obtained using Getis-Ord-Gi * statistics, hotspot data collected from 2000-2018 in the TNBS area. The results of the hotspot distribution during the 2000-2018 recorded by MODIS satellites with time acquisition and statistical analysis using Gi* show the results that the hotspots gathered (80% confidence level) outside the TNBS area, which is a mixed fields area. Further studies on causes of fire in terms of socio-economic and cultural needs to be done to get the right advice in reducing the risk of loss of forest cover and diversity in TNBS. Keywords: mitigation, hydrology, DAS
Contributing Environmental Factors of Habitat Suitability for the Great Argus (Argusianus argus) in Bukit Barisan Selatan National Park, Indonesia Rahmilija, Femei; Hernowo, Jarwadi Budi; Prasetyo, Lilik Budi
Jurnal Manajemen Hutan Tropika Vol. 32 No. 1 (2026)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.32.1.51

Abstract

The great argus (Argusianus argus), a key outstanding universal value (OUV) species in Bukit Barisan Selatan National Park (BBSNP) within the tropical rainforest heritage of Sumatra (TRHS), is listed as vulnerable by the IUCN red list due to extensive deforestation and habitat fragmentation. Yet, its habitat preferences and spatial distribution remain poorly understood. This study aimed to model the potential distribution of the great argus and identify key environmental factors influencing its occurrence within the Way Canguk Research Station (WCRS), BBSNP. We employed the Maximum Entropy (MaxEnt) algorithm using data from field surveys and camera traps combined with environmental variables including elevation, slope, distance to rivers, normalized difference moisture index (NDMI), temperature, rainfall, distance to roads and settlements, NDVI, and land cover. The model exhibited high predictive performance (AUC = 0.846). Distance to roads, rainfall intensity, and the presence of primary forest emerged as the most influential factors. The species showed a preference for primary forests located far from human disturbances and in areas with lower rainfall levels. These findings confirm WCRS as a suitable habitat for the great argus and underscore the urgency of preventing deforestation, restoring degraded lands, and mitigating road impacts to preserve BBSNP’s ecological integrity and sustain TRHS’s world heritage status.
Media Framing of Human–Orangutan Interactions in Kalimantan: A Topic Modelling and Sentiment Analysis Approach Desantoro, Tri Giyat; Lilik Budi Prasetyo; Lubis, Muhammad Irfansyah
Jurnal Manajemen Hutan Tropika Vol. 32 No. 1 (2026)
Publisher : Institut Pertanian Bogor (IPB University)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.7226/jtfm.32.1.63

Abstract

People's perceptions of orangutans strongly influence their responses in every interaction, which can have negative impacts on both humans and orangutans. Misperceptions, fear, or negative attitudes may increase the risk of conflict, injury, or retaliatory actions, thereby threatening conservation outcomes. Understanding community sentiment toward human–orangutan interactions is therefore essential for designing effective conservation strategies. However, direct data collection to understand community sentiment often faces cost and accuracy constraints. Therefore, an alternative approach that is more efficient and objective is needed to capture community sentiment toward human-orangutan interactions. This research offers latent topic modelling and sentiment analysis of online news articles as a novel method to understand these dynamics and support conservation efforts. A total of 11 latent topics were obtained from the news articles. Orangutan sightings and handovers of orangutans were the most frequently discussed in 2016. Palm oil plantations emerged as a prominent topic related to human-orangutan interaction incidents. Negative sentiment was predominantly linked to topic such as injured orangutans and orangutan sightings on plantations, whereas orangutan translocation received the highest positive sentiment score. This study highlights the potential of natural language processing for analyzing Indonesian language texts in conservation contexts, with applications extendable to broader environmental and forestry issues such as deforestation and wildlife hunting.
Potensi Pakan Burung Air Pada Ekosistem Rawa Aopa Taman Nasional Rawa Aopa Watumohaoi Sulawesi Tenggara Muh Iksan; Jarwadi Budi Hernowo; lilik Budi Prasetyo
Jurnal Penelitian Pendidikan IPA Vol 11 No 9 (2025): September
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i9.11817

Abstract

The Aopa Wetland Ecosystem, a Ramsar site, supports 1% of global species, including diverse waterbirds. However, populations are under serious threat from human activities, especially illegal hunting that disturbs habitats. The decline of waterbirds in Aopa Watumohai National Park (TNRAW) is the highest compared to other Indonesian national parks. This study, conducted from January to March 2023, aimed to analyze waterbird food resources through field observations. Data collected included distribution, number of species and individuals, diversity (Shannon index), and food types. Observations were carried out by boat across swamp areas. Results recorded 17 species of waterbirds totaling 1,217 individuals, with the highest abundance in open vegetation dominated by Irediparra galinacea (23.2%). Food resources were identified from 418 individuals representing 14 species, grouped into four classes: Insecta (5 species), Pisces (5), Gastropoda (3), and Malacostraca (1). The observation area was classified into vegetation types: open (VT), closed (VTP), and water body (BA). VT provided 14 food types, VTP 13 types, and BA 11 types. These findings emphasize the importance of protecting wetland habitats to sustain waterbird populations in TNRAW.
Pengaruh Pola Pemanfaatan Ruang Terbuka Hijau terhadap Dinamika Perubahan Kualitas Udara Akibat Pandemi Covid-19 Siti Badriyah; Rushayati, Siti Badriyah; Hermawan, Rachmad; Setiawan, Yudi; Wijayanto, Arif Kurnia; Prasetyo, Lilik Budi; Permatasari, Prita Ayu
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 10 No 4 (2020): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.10.4.559-567

Abstract

The Covid-19 pandemic has had a global impact on all sectors including the environment. The spread of Covid-19 is very much influenced by human activity and mobility. Human activities are also closely related to air pollutant emissions. High concentrations of air pollutants during the Covid19 pandemic will increase the risk of being exposed to Covid-19. Jakarta and its surrounding area (known locally as Jabodetabek) have high population density. These cities are economic and industrial centers. Air pollutant emissions in these cities are very high. High concentrations of air pollutants during the Covid-19 pandemic will increase the risk of being exposed to Covid. To anticipate this problem, the government made a Large-Scale Social Restriction Policy (PSBB). Limited human activities, in addition to having an impact on reducing the risk of humans being exposed to Covid-19 from the droplets released by tested-positive of Covid-19, also have an impact on reducing emissions of air pollutants so that they can reduce the risk of being exposed to Covid-19. Several variables that influence vulnerability and risk to exposure to Covid-19 are the distribution of settlements, roads, economic centers (markets, business centers, industrial centers), and human mobility. In this study, we will also analyze the role of green open space on the risk of exposure to Covid-19. Green open space plays an important role in reducing air pollutants so that it will also affect the risk of being exposed to Covid-19. This study aimed to 1) examine the distribution of air pollutants based on the vulnerability and risk of COVID-19 in Jakarta, Bogor, Depok, Tangerang, and Bekasi (Jabodetabek), and 2) examine the results of the overlay between land cover and vulnerability and risk to Covid-19.
Co-Authors . Pairah A Hadi Syafrudin ABDUL HARIS MUSTARI Abdul Rahim Achmad Machmud Thohari Adhi Harmoko Saputro Agung Siswoyo Agung Siswoyo Agus Hikmat Agus Priyono Kartono Agusrinal AHMAD JUNAEDI Ahmad Munawir Akhmad Rizali Al-Reza, Dimaz Danang Alan Purbawiyatna Alan Purbawiyatna Amri Muhammad Saadudin Amrizal Yusri Andi Gunawan Andi N. Cahyana Andi Sri Wahyuni Andry Indrawan Andryan, Ricky Ani Mardiastuti Anika Putri Annisa Annisa Dyra Shamila Anton Ario Anton Ario Anton Ario Aria Nusantara Arief Prasetyo Arif Kurnia Wijayanto Arif Kurnia Wijayanto Arif Prasetyo Arif Prasetyo Ario, Anton aronika kaban Aronika Kaban Arya Hadi Dharmawan Arzyana Sunkar Astekita Ardiaristo Aswin Rahadian Aswin Rahadian Aswin Rahadian Awaludin Jamil Azar Rachdian Bambang Hero Saharjo Bambang Setio Budianto BANDUNG SAHARI Basuki Wasis Bisman Nababan Boedi Tjahjono Budi Arif Dermawan Budi Indra Setiawan Carolyn, Rully Dhora Cecep Kusmana DAMAYANTI BUCHORI Deasy Fitria Dede Kosasih Desantoro, Tri Giyat Desi Suyamto Diah Irawati Dwi Arini Diah Irawati Dwi Arini Didi Darmadi Didi Usmadi, Didi Dietriech Geoffrey Bengen Dimyati, Ratih Dewanti Dolly Priatna Dones Rinaldi Dony Kushardono Dwi Putra Aprianto Dwi Putro Tejo Baskoro DYAH PERWITASARI -FARAJALLAH Edy Sambas Endang Koestati Sri Harini Muntasib Endes N Dahlan Endes N Dahlan Endes N Dahlan Endes Nurfilmarasa Dachlan Entang Iskandar Entang Iskandar Entang Iskandar Entang Iskandar Erny Jumilawaty Ervizal A. M. Zuhud Ervizal A.M. Zuhud Ervizal AMZU Fata Habiburrahman Faz Fauziah Fauziah Femei Rahmilija FERY KURNIAWAN Fitriana, Fifin gede tragya suartika pramana Hadi S Alikodra Harahap, Adiansyah Hari Prayogo Hariyadi Harnios Arief Hartrisari Hardjomidjojo Helianthi Dewi Hermansyah Putra Hermawan, Rachmad Hernawati Hernawati Herry Purnomo Herwasono Soedjito Hesty, Rein Susinda Hidayat Pawitan Hidayat Pawitan Higuchi, Horoyoshi Hultera Hultera Husni dan Zulfanazli Pudjianto Alfian Rusdy I Made Haribhawana Wijaya I Nengah Surati Jaya I.F. Poernomosidhi Poerwo Idung Risdiyanto Indri Febriani Irlan Izzawati Nurrahma, Arinal Haq Jarulis Jarulis Jarulis Jarulis Jarulis Jarulis Jarulis Jarwadi B. Hernowo JARWADI BUDI HERNOWO Jatna Supriatna Jito Sugardjito Joko Ridho Witono Judin Purwanto Kamarudin Abdulah Kartodihardjo, Hariadi Ketut Wikantika Kooswardhono Mudikdjo Kurnia Sofyan Kustiyo Kustiyo, Kustiyo Kusumanegara, Agus Kuswandono . Lailan Syaufina Lailan Syaufina Lailan Syaufina Lila Juniyanti Liyantono . Luky Adrianto Luna Raftika Khairunnisa M. Bismark Malta Daerangga Mansyur, Fadhilah Iqra Mardiana Wachyuni Marimin , May Parlindungan Meirani, Utami Mirza Dikari Kusrini Moch. Erlan Sodahlan Mora, Andita Minda Muflihatul Maghfiroh Islami Muh Iksan Muhamad Rizal Muhammad Bismark Muhammad Buce Saleh MUHAMMAD IRFANSYAH LUBIS Muhammad Nur Aidi Muhammad Wiharto Munandar, Aris Nahlunnisa, Hafizah Nana Mulyana Arifjaya Nandi Kosmaryandi Nandi Kosmaryandi Nitya Ade Santi NIZAR NASRULLAH Novi Tri Ayuningrum Nur Hayati Nur Hayati Nurdin Sulistiyono Nyoto Santoso Omo Rusdiana Pablo Pacheco Pahlevi, Farhan Reza Pairah Pairah Patria Rachman Hakim Pramatana, Fadlan Prita Ayu Permatasari, Prita Ayu PURNAMA HIDAYAT Purwanto, Yanuar Jarwadi Purwono Rahmad Hermawan Ramdani Manurung Ramdani Manurung Reza Dwiputra Perdhana Rika S. Santoso Rina Marina Masri Rinekso Soekmadi Rizka Amalia Rizki Widiyatmoko Rois Mahmud Rokhmatuloh, Rokhmatuloh Romie Jhonnerie Rosikin, Rosikin Rosima Wati Dewi Rudi Hermawan Sahid Agustian Hudjimartsu Sahid Hudjimartsu Sam Wouthuyzen Sambas Basuni Sambas, Edy Sandhi Imam Maulana Santun R.P. Sitorus SATRIYAS ILYAS Sawaki, Morgan Wayne Luther Shamila, Annisa Dyra Sitanggang, Imas S. Siti Badriyah Siti Badriyah Rushayati Siti Nurjannah Slamet Suprayogi Soeryo Adiwibowo Solikin Sri Nurdiati Sudianto, Sudianto Supartono, Toto SYAFRIDA MANUWOTO Syarif Indra S.P Syartinilia . TARUNI SRI PRAWAST MIEN KAOMINI ANY ARYANI DEDY DURYADI SOLIHIN Tatang Tiryana Taufik Setiawan Tazkiyatul Syahidah Teddy Rusolono Titiek Setyawati Tri Atmoko Tri Atmoko Tri Rapani Febbiyanti Tri Satyatama Tukirin Partomihardjo Tukirin Partomihardjo Turmudi U Mamat Rahmat U Mamat Rahmat Vella Putikasari Vella Putiksari Vella Putiksari, Vella Vincentius P Siregar Wahyu Indah Astriani Wardani, Tiara Pratiwi Kusumah Wardi Septiana Wawan Gunawan Widiatmaka WIDYASTUTI, SALMAH Wim Ikbal YAHER WANDI YANTO SANTOSA Yeni A. Mulyani Yeni Aryati Mulyani Yohana Maria Indrawati Yoko Untoro Yosi Irawan Yudi Setiawan Yudi Setiawan Yudi Setiawan Yudi Setiawan Yudi Setiawan Yumarni . Yuniar Pratiwi Zuhud, Ervizal A. M.