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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 BIOTROPIA - The Southeast Asian Journal of Tropical Biology 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 Journal of Applied Data Sciences 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 Control & Systems Engineering 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 Veterinary Other

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Kajian Perubahan Tingkat Pelayanan Jalan dan Kualitas Udara Di Zona Tidak Sesuai untuk Perumahan Masri, Rina Marina; Sitorus, Santun R.P.; Mudikdjo, Kooswardhono; Prasetyo, Lilik Budi; Hardjomidjojo, Hartrisari
Jurnal Permukiman Vol 3 No 2 (2008)
Publisher : Direktorat Bina Teknik Bangunan Gedung dan Penyehatan Lingkungan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31815/jp.2008.3.115-128

Abstract

Dampak perkembangan Kawasan Bandung Utara di zona tidak sesuai untuk perumahan meningkatkan pertumbuhan jumlah penduduk dan perekonomian masyarakat, menurunkan kualitas lingkungan yang ditandai dengan menurunnya tingkat pelayanan jalan dan kualitas udara. Penelitian ini bertujuan untuk mengevaluasi  pola perubahan volume lalulintas  dan tingkat pelayanan jalan; mengetahui hubungan pola perubahan volume lalulintas dan pencemaran udara terhadap indeks kualitas lingkungan; dan mengusulkan pilihan kebijakan dalam pengelolaan lalu lintas. Pengumpulan data primer diperoleh dari pengamatan fisik kimia udara dan lalu lintas dari lapangan serta data sekunder dari instansi-instansi berwenang. Analisis sistem dampak pembangunan perumahan terhadap kinerja jalan dan pencemaran udara menggunakan software Excel for Windows 2003 dan Powersim versi 2.5C. Hasil yang diperoleh adalah : (i) peningkatan volume lalu lintas di sepanjang koridor  jalan serta menurunnya kinerja tingkat pelayanan jalan dengan kategori D,E, F (>0,85), (ii) penurunan indeks kesehatan lingkungan (peningkatan jumlah kematian dini akibat pencemaran udara); (iii) pengelolaan dampak lingkungan dengan memprioritaskan kebijakan perbaikan kapasitas jalan,rasio volume dengan kecepatan kendaraan melalui penambahan lajur jalan dan lebar jalan. 
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.
Vegetation composition on peatlands with different fire frequency in Musi Banyuasin, South Sumatra Jamil, Awaludin; Setiawan, Yudi; Prasetyo, Lilik Budi
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 12 No 3 (2022): 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.12.3.435-444

Abstract

Lahan gambut memiliki kemampuan untuk memulihkan lingkungannya sendiri melalui proses suksesi vegetasi ketika mengalami kebakaran. Area dengan frekuensi kebakaran yang berberda memiliki dominasi vegetasi yang berbeda. Pengamatan dilakukan pada area yang mengalami frekuensi satu, dua, tiga dan empat kali terbakar. Tujuan penelitian ini untuk menjelaskan perbedaan vegetasi yang menyusun area dengan frekuensi kebakaran berbeda. Vegeteasi tingkat pertumbuhan pancang dan tumbuhan bawah ditemukan pada semua area frekuensi terbakar, tingkat pertumbuhan semai ditemukan pada area satu dan tiga kali terbakar, tingkat pertumbuhan tiang ditemukan pada area satu kali terbakar dan tingkat pertumbuhan pohon ditemukan pada area satu dan dua kali terbakar. Tingkat pertumbuhan pancang pada area frekuensi satu kali terbakar didominasi oleh vegetasi Sepongol, area frekuensi dua kali terbakar didominasi oleh Bangun-bangun dan area frekuensi tiga dan empat kali terbakar didominasi oleh Melastoma malabatrihcum. Tumbuhan bawah pada area dengan frekuensi satu, dua dan tiga kali terbakar didominasi oleh Asplenium longissimum dan pada area dengan frekuensi empat kali terbakar didominasi oleh Athyrium esculentum
Modeling Aboveground Biomass and Stand Density Using Forest Canopy Density in a Tropical Natural Forest Concession Reza Dwiputra Perdhana; Lilik Budi Prasetyo; Rachmad Hermawan
Jurnal Penelitian Pendidikan IPA Vol 12 No 5 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i5.14793

Abstract

Natural forests within the concession area of PT Bharinto Ekatama are critical for carbon storage and ecosystem service provision, yet efficient methods to quantify stand biophysical parameters at scale remain limited. This study developed spatial models to estimate stand density and aboveground biomass using the Forest Canopy Density (FCD) approach. Field data were collected from 30 plots (50 × 50 m) between January and June 2025, complemented by Landsat 8 OLI/TIRS imagery. FCD was derived from the integration of Advanced Vegetation, Bare Soil, Shadow, and Thermal indices. Relationships between FCD and field-based measurements were evaluated using linear regression. The forest community comprised 47 species across 21 families, dominated by Dipterocarpus. FCD values ranged from 49.05% to 85.22%, while aboveground biomass and stand density ranged from 37.36–331.65 ton ha⁻¹ and 660–2,224 trees ha⁻¹, respectively. The models demonstrated strong explanatory power (R² = 0.8335 for stand density; R² = 0.8317 for biomass; p < 0.05). Validation yielded RMSE values of 151.662 trees ha⁻¹ and 29.695 ton ha⁻¹, corresponding to normalized errors of 12% and 22%. These findings indicate that the FCD approach provides a robust and scalable framework for estimating forest structure, with greater predictive accuracy for stand density than biomass.
Classification of Pestalotiopsis sp. Leaf Fall Disease Severity in Rubber Plants using UAV Multispectral Vegetation Indices and 1-D Convolutional Neural Networks Solikin; Yeni Herdiyeni; Annisa; Lilik Budi Prasetyo; Tri Rapani Febbiyanti; Imas Sukaesih Sitanggang; Sri Nurdiati
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 3 (2026): Juni 2026 (in progress)
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i3.7601

Abstract

Leaf-fall disease caused by Pestalotiopsis sp. is a major threat to rubber (Hevea brasiliensis) plantations because it suppresses photosynthetic activity, accelerates defoliation, and reduces latex productivity. In operational practice, severity assessment is still dominated by visual field inspection, which is subjective, time-consuming, costly, and difficult to standardize across large plantation areas. This study develops a disease severity classification model for Pestalotiopsis sp. using a Convolutional Neural Network (CNN) based on vegetation-index features derived from UAV multispectral imagery. The model classifies disease severity into four levels: L1 (Light Infection), L2 (Moderate Infection), L3 (Severe Infection), and L4 (Very Severe Infection). To represent temporal and biological variability in disease expression, multispectral data were collected from multiple rubber clones over two observation periods. Feature construction focused on NDRE, LCI, CI, NDVI_NDRE_Interaction, and GCI_Ratio, which capture chlorophyll-related and canopy condition responses to infection. Because severity classes were imbalanced, the Synthetic Minority Over-sampling Technique (SMOTE) was applied before model training. A one-dimensional CNN was then trained to learn nonlinear patterns among index-based predictors for multilevel severity classification. Hyperparameter tuning improved overall accuracy from 85.30% to 90.00%. Class-wise F1-scores changed from 0.91 to 0.94 (L1), 0.83 to 0.84 (L2), 0.75 to 0.88 (L3), and 0.97 to 0.84 (L4), with the largest improvement in L3 recall (0.67 to 0.94). These results indicate that the selected vegetation indices and interaction terms are informative predictors for objective and scalable disease severity classification under heterogeneous plantation conditions.
Logistic Regression Modeling of Peatland Fire Hotspots in Bengkalis District Using Integrated Environmental and Anthropogenic Drivers Nur Hayati; Imas Sukaesih Sitanggang; Lilik Budi Prasetyo; Lailan Syaufina
Journal of Information System and Informatics Vol 8 No 2 (2026): April
Publisher : Asosiasi Doktor Sistem Informasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63158/journalisi.v8i2.1560

Abstract

Peatland fires occur almost annually in Bengkalis District, Riau Province, Indonesia, where peatlands cover about 65% of the area and contribute significantly to carbon emissions and regional haze, highlighting the need for improved fire risk prediction. This research aims to apply a probabilistic logistic regression approach to predict peatland fire hotspot occurrence and identify its key drivers. Hotspot data from 2015–2023 were derived from VIIRS satellite observations and classified into low (l), nominal (n), and high (h) confidence levels. Then hotspot confidence levels are classified into two scenarios: (1) the nh scenario (l = 0; n–h = 1) and (2) the h scenario (l–n = 0; h = 1), representing different fire thresholds. The predictor variable was modeled using anthropogenic and environmental, with multicollinearity testing to ensure model stability. The results show that the nh scenario performs better, with Nagelkerke R² = 0.0681, Hosmer–Lemeshow χ² = 5.7663, AUC = 0.69, and accuracy = 95.19%, indicating acceptable fit and moderate discrimination. Significant predictors include plantation land use, peat characteristics, and precipitation. These findings suggest that the approach can support peatland fire risk assessment, although further refinement is required.
Co-Authors . Pairah A Hadi Syafrudin ABDUL HARIS MUSTARI Abdul Rahim Achmad Machmud Thohari Ade Rahmat Iskandar 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 Imam Suroso 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 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 ANDREAS SANTOSA 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 Hudi, Firdaus Alam Hultera Hultera Husni dan Zulfanazli Pudjianto Alfian Rusdy I Made Haribhawana Wijaya I Nengah Surati Jaya I.F. Poernomosidhi Poerwo Idung Risdiyanto Indri Febriani Irawan, Yosi Irlan Irman Hermadi Izzawati Nurrahma, Arinal Haq Jamil, Awaludin 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 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 Munawir, Ahmad 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 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 Rina Marina Masri, Rina Marina 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 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 Sodahlan, Moch. Erlan 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 Tornando, Hengki 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 Wardi Septiana, Wardi 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 Yumarni . Yuniar Pratiwi Zuhud, Ervizal A. M.