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Pengaruh Ketinggian Tempat Tumbuh terhadap Profil Senyawa Kurkumin pada Rimpang Kunyit (Curcuma longa L.) di Desa Nunsaen Kabupaten Kupang Pricilia Rilyn Restifanny Marolly; Muntasir Muntasir; Nurul Fatmawati Pua Upa
Lumbung Farmasi: Jurnal Ilmu Kefarmasian Vol 7, No 2 (2026): Juli
Publisher : UNIVERSITAS MUHAMMADIYAH MATARAM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/lf.v7i2.40336

Abstract

Kunyit (Curcuma longa L.) mengandung kurkumin sebagai senyawa bioaktif utama dengan berbagai aktivitas farmakologis. Kandungan kurkumin dipengaruhi oleh faktor lingkungan, salah satunya ketiggian tempat tumbuh. Penelitian bertujuan menganalisis pengaruh ketinggian tanam terhadap profil senyawa kurkumin dan menentukan zona ketinggian yang menghasilkan kandungan kurkumin optimal pada rimpang kunyit. Desain penelitian observasional komparatif dengan pendekatan survei lapangan. Sampel adalah rimpang kunyit zona rendah (540,14 mdpl), zona menengah (689,53 mdpl) dan zona tinggi (871,19 mdpl). Metode analisis yang digunakan adalah TLC dan HPLC dengan detektor UV pada panjang gelombang 425 nm. Analisis data menggunakan uji One-Way ANOVA dan Tukey HSD. Hasil TLC diperoleh nilai Rf berkisar antara 0,88-0,94 mendekati standar (0,94). Hasil HPLC menunjukkan kandungan kurkumin tertinggi di zona tinggi (32,62 mg/g), zona menengah (21,84 mg/g) dan zona rendah (19,35 mg/g). Hasil uji One-Way ANOVA menemukan perbedaan signifikan. Uji Tukey HSD menemukan perbedaan signifikan antara zona tinggi dan zona rendah serta menengah, sedangkan zona rendah dan menengah tidak signifikan. Variasi ketinggian tempat tumbuh terbukti berpengaruh signifikan terhadap profil senyawa kurkumin pada rimpang kunyit di Desa Nunsaen, Kabupaten Kupang, di mana semakin tinggi lokasi penanaman, kadar kurkumin yang dihasilkan cenderung meningkat. Di antara tiga zona yang diteliti, zona tinggi (871,19 mdpl) terbukti menghasilkan kadar kurkumin paling tinggi dan optimal. Dataran tinggi di Desa Nunsaen direkomendasikan sebagai lokasi budidaya strategis untuk menghasilkan kunyit dengan kualitas bioaktif terbaik.
Solusi Inovatif Mesin Peras Santan dan Oven Serbaguna untuk Peningkatan Kualitas VCO Sri Prilmayanti Awaluddin; Januar Kulsaputro; Saldy Hapiwaty; Muntasir Muntasir
Yumary: Jurnal Pengabdian kepada Masyarakat Vol 6 No 3 (2026): Maret
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/yumary.v6i3.5488

Abstract

Purpose: This study analyzes the effectiveness of a coconut milk pressing machine and multi-purpose oven in improving the quality, production capacity, and income of the Kitasuka Virgin Coconut Oil (VCO) Micro-Business. Methodology: The research used a mixed-methods approach based on Participatory Action Research (PAR) at the Inaayu Natural Micro-Business, Pangkep Regency. Data were collected through observation, interviews, and documentation, then analyzed descriptively and qualitatively. Results: The technology implementation successfully increased VCO production capacity from 250-300 liters per month to 300-500 liters. Partners' average monthly income rose significantly from IDR 35.5 million to IDR 63 million. The VCO quality also improved in clarity, shelf life, and production hygiene. Conclusions: The innovative technologies effectively boosted the micro-business's production capacity and product quality, leading to a substantial increase in monthly revenue. The PAR approach, which actively involved partners, was key to the program's success and sustainability. Limitations: This research was limited to a single micro-enterprise location and a relatively short time period. Generalizing the findings requires further study with a broader scope. Contributions: This research makes a practical contribution to the development of agro-industrial micro-enterprises through the application of appropriate technology. Academically, it enriches the literature on technology-based community empowerment and production innovation in small-scale industries.
Pemberdayaan IRT Aisyiah dengan Mesin Pengaduk dan Pemotong Rumput Laut Muntasir Muntasir; Muhajirin Dean; Mozart Harpian Fereal Mori Uma; Septania Rahmawati Ruth Taneo; Tanty Rahayu
Yumary: Jurnal Pengabdian kepada Masyarakat Vol 6 No 3 (2026): Maret
Publisher : Penerbit Goodwood

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35912/yumary.v6i3.5490

Abstract

Purpose: To improve production efficiency and quality of dodol (sweet potato cracker), crackers, and seaweed sticks at the IRT Aisyiah Alak Kupang household through the adoption of innovative mixers and cutting machines. Methodology/Approach: The study was conducted at the IRT Aisyiah Alak Kupang with mixers and cutting machines sourced from Maksindo Surabaya. Methods included field surveys, machine operation training, technical assistance, and production evaluation. Data were analyzed quantitatively and qualitatively using simple production analysis software and the participatory rural appraisal approach. Results/Findings: Dodol production capacity increased from 3 kg to 6 kg per week, and crackers and seaweed sticks from 2 kg to 4 kg per week, respectively. Production time decreased by about 50%, partner income doubled, and marketing reach expanded through digital platforms and branding development. Conclusions: The community empowerment program at IRT Aisyiah Alak Kupang successfully enhanced efficiency, capacity, and quality of dodol and seaweed sticks. The implementation of mixing and cutting machines, together with digital marketing, improved partner income and business sustainability. Ongoing mentoring is provided, and the development of supporting equipment, such as modern drying tools, is recommended for further study to strengthen program outcomes. Limitations: Testing was limited to a single partner location and did not extensively explore various machine types or digital marketing techniques. Contributions: The study contributes to the development of appropriate technology for local food processing, particularly in the seaweed industry of East Nusa Tenggara, and strengthens community economic empowerment while preserving local wisdom.
Design of Short Peptides as Targeted Protein Inhibitors for Alzheimer’s Disease Miksusanti Miksusanti; Faisal Razak; Nurul Huda; Muntasir Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v1i3.1757

Abstract

Alzheimer's disease is a neurodegenerative disorder marked by cognitive decline and memory loss, primarily caused by the aggregation of amyloid-beta and tau proteins in the brain. Conventional treatments offer limited benefits, emphasizing the need for new therapeutic strategies. To design and evaluate short peptides as targeted protein inhibitors to prevent the aggregation of amyloid-beta and tau proteins, aiming to halt or reverse the progression of Alzheimer's disease. The study employed computational modeling to design peptides, followed by in vitro assays for initial screening, and in vivo tests using transgenic mouse models to assess therapeutic efficacy and safety. Techniques included mass spectrometry, HPLC, and behavioral tests for cognitive function. Designed peptides demonstrated high binding affinity and specificity for amyloid-beta and tau proteins, reducing aggregation by 70% in vitro. In vivo studies showed significant reductions in amyloid plaques and tau tangles, with improved cognitive performance in treated mice. Peptides effectively crossed the blood-brain barrier and accumulated in target brain regions. The findings support the potential of short peptides as a novel therapeutic approach for Alzheimer's disease, warranting further research and clinical trials to validate their efficacy and safety in human subjects.
Synthesis and Characterization of Magnetic Nanoparticles as Contrast Agents for Tumor Imaging Ton Kiat; Siri Lek; Aom Thai; Muntasir Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 1 No. 3 (2024)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v1i3.1759

Abstract

Magnetic nanoparticles (MNPs) have emerged as promising materials for biomedical applications, particularly as contrast agents in tumor imaging. Early and accurate tumor detection is critical for improving treatment outcomes, yet current imaging techniques often lack sensitivity and specificity. This study aimed to synthesize and characterize magnetic nanoparticles for their potential as contrast agents in tumor imaging. The nanoparticles were synthesized using a co-precipitation method, followed by surface modification with organic compounds to enhance stability and targeting specificity. Characterization included transmission electron microscopy (TEM), X-ray diffraction (XRD), vibrating sample magnetometer (VSM), and dynamic light scattering (DLS). Cytotoxicity and targeting efficiency were evaluated in vitro using cultured human tumor cells. The results demonstrated that the synthesized nanoparticles had an average size of 25 ± 5 nm, superparamagnetic properties with a saturation magnetization of 55 emu/g, and high colloidal stability due to surface modifications. Fluorescence imaging revealed significant accumulation of the nanoparticles in tumor cells, while cytotoxicity tests showed cell viability above 85% at concentrations up to 100 ?g/mL. These findings indicate the nanoparticles are safe and effective for tumor imaging. This study highlights the importance of integrating synthesis, characterization, and biological evaluation to optimize nanoparticle design for biomedical applications. While the results are promising, further in vivo studies are needed to evaluate nanoparticle distribution, accumulation, and clearance in complex biological systems. The findings provide a foundation for future research and development of advanced contrast agents for tumor imaging
DEVELOPMENT OF A NANO PARTICLE VACCINE TO PREVENT ZIKA VIRUS INFECTION Ethan Tan; Lucas Wong; Ryan Teo; Muntasir Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i1.2021

Abstract

Zika virus is a mosquito-borne flavivirus that causes severe birth defects in newborns. Effective preventive measures are urgently needed due to the global spread of the virus. To develop a nanoparticle-based vaccine to prevent Zika virus infection by enhancing immune responses and ensuring safety. A multidisciplinary approach combining virology, immunology, and nanotechnology was used. Laboratory animals and human volunteers were included in the study. The nanoparticle vaccine was characterized using DLS and electron microscopy, and its immunogenicity was tested using ELISA and flow cytometry. Preclinical and clinical trials were conducted to assess the vaccine's efficacy and safety. The nanoparticle vaccine induced strong and long-lasting immune responses, reducing Zika virus infection rates by 85% in mice and 80% in non-human primates. The vaccine showed high titers of neutralizing antibodies and significant cellular immune responses without adverse effects. The nanoparticle vaccine demonstrated high efficacy and safety in preventing Zika virus infection, providing a promising new approach to vaccine development. Further clinical trials are needed to validate these findings and optimize vaccine production for widespread use.
PROTEIN-PROTEIN INTERACTION ANALYSIS TO IDENTIFY NEW DRUG TARGETS FOR DIABETES Dita Nurul Savitri; Anis Syauqi; Netty Maria Naibaho; Muntasir Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 1 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i1.2023

Abstract

The background of this study focuses on diabetes, a chronic metabolic disease characterized by impaired glucose and insulin regulation. Although existing therapies are available, insulin resistance and other complications remain a major challenge. The purpose of this study is to identify new drug targets through the analysis of protein interactions that play a role in the pathogenesis of diabetes. The method used is protein interaction network analysis (PPI) using public databases such as STRING and BioGRID to map the interaction between proteins related to glucose metabolism and insulin. The results of this study identified more than 150 proteins that interact with each other in the regulatory pathways of glucose and insulin metabolism, with several new proteins found to have the potential to be drug targets to overcome insulin resistance. The study concludes that a protein interaction-based approach can open up opportunities to develop new therapies that are more specific and effective in managing diabetes. Further development should be undertaken for the validation of these findings in animal models and clinical trials to confirm their effectiveness as a diabetes therapy.
DEVELOPMENT OF A RECOMBINANT VACCINE TO PREVENT INFLUENZA VIRUS INFECTION Loso Judijanto; Aung Myint; Nandar Hlaing; Muntasir Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 2 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i2.2025

Abstract

Influenza virus remains a significant global health challenge, causing seasonal epidemics and potential pandemics with high morbidity and mortality rates. This study aims to develop a recombinant vaccine as a safer and more effective alternative to traditional influenza vaccines, which often suffer from limited efficacy and lengthy production timelines. Utilizing a recombinant DNA technology approach, this research employed the baculovirus expression system to produce hemagglutinin (HA) antigens derived from the influenza A virus. Experimental methods included antigen purification, immunogenicity assays in murine models, and neutralizing antibody titration. Results revealed that the recombinant HA vaccine elicited a robust immune response, with a significant increase in hemagglutination inhibition titers compared to control groups. Furthermore, the vaccinated subjects exhibited substantial protection against viral challenge, evidenced by reduced viral load and minimized lung pathology. The findings suggest that recombinant vaccine platforms offer promising avenues for rapid and scalable vaccine development. This study underscores the potential of recombinant influenza vaccines in mitigating future influenza outbreaks with improved safety, efficacy, and production agility.
PHARMACEUTICAL NANOTECHNOLOGY: FORMULATION AND IN VIVO EVALUATION OF CURCUMIN-LOADED NANOSUSPENSIONS FOR ENHANCED ANTI-INFLAMMATORY EFFICACY Elisa Issusilaningtyas; Sarah Williams; Muntasir Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 2 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v2i4.2523

Abstract

Curcumin, a natural polyphenol derived from Curcuma longa, is well-regarded for its potent anti-inflammatory properties. However, its therapeutic application is severely hampered by its extremely low aqueous solubility and poor oral bioavailability, which leads to suboptimal absorption and limited clinical efficacy. Pharmaceutical nanotechnology offers a promising strategy to overcome these biopharmaceutical challenges. This research aimed to formulate a stable curcumin nanosuspension to significantly enhance its dissolution rate and bioavailability, and to subsequently evaluate its improved anti-inflammatory efficacy in an in vivo model. A curcumin nanosuspension was prepared using the high-pressure homogenization technique, stabilized with Poloxamer 188. The formulation was characterized for particle size, polydispersity index (PDI), and zeta potential. An in vivo anti-inflammatory study was conducted using the carrageenan-induced paw edema model in Wistar rats, comparing the efficacy of the nanosuspension against a conventional coarse curcumin suspension. The optimized nanosuspension exhibited a narrow particle size distribution with a mean diameter of 210 nm and a zeta potential of -28.5 mV, indicating good physical stability. The in vivo evaluation demonstrated that the curcumin nanosuspension produced a significantly greater inhibition of paw edema (72.4%) compared to the coarse curcumin suspension (28.1%) at the same dose (p < 0.01). Formulating curcumin into a nanosuspension is a highly effective strategy for overcoming its inherent bioavailability limitations. This nanotechnological approach dramatically enhances curcumin’s anti-inflammatory activity, validating its potential as a powerful therapeutic agent for inflammatory conditions.
ARTIFICIAL INTELLIGENCE IN BIOMEDICAL NANOTECHNOLOGY: FROM DIAGNOSIS TO THERAPY OPTIMIZATION Choi Seojin; Sabrina Doudou; Muntasir Muntasir
Journal of Biomedical and Techno Nanomaterials Vol. 3 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jbtn.v3i1.3210

Abstract

The integration of Artificial Intelligence (AI) with biomedical nanotechnology is revolutionizing medical diagnostics and therapy optimization. The combination of AI’s computational power with the unique properties of nanomaterials enables more accurate disease detection, personalized treatment plans, and optimized therapeutic outcomes. Traditional diagnostic techniques often suffer from limitations in sensitivity, specificity, and the ability to offer personalized treatments. Nanotechnology, particularly through the development of nanoparticle-based systems, offers significant improvements in targeting, drug delivery, and imaging. AI can further enhance these capabilities by enabling real-time data analysis, predictive modeling, and personalized medicine approaches. This research explores the applications of AI in biomedical nanotechnology, focusing on its role in diagnosis, therapy optimization, and the potential for improving patient outcomes. The study employs a comprehensive review of existing literature, case studies, and computational models to assess the impact of AI-driven nanotechnologies in clinical settings. The results highlight the promising outcomes in disease diagnosis, particularly in oncology, and the potential for AI to optimize therapeutic strategies by analyzing large-scale patient data. In conclusion, the integration of AI and biomedical nanotechnology offers substantial advancements in precision medicine, facilitating more accurate, efficient, and personalized healthcare solutions.
Co-Authors - Sri Prilmayanti Awaluddin, - Aan Suriadi Abdullah Abdullah Abdus Salam, Abdus Abu Bakar, Muhammad Bin Adu, Apris A. Afri, Lasarus Agus Setyobudi Agustin Mardiana, Nur Ai Nurhayati Akbar Awaluddin Aldi Benggu Aldiana Astuti Ali Omar Ali Warsito Alves, Livia Ambarwati, Rini Amelya Betsalonia Sir Anastasia Sofia L. Keraf Andari, Soetji Andarmoyo, Sulistyo Anderias Umbu Roga Andi Ummul Khair Andi ummul Khair Andreastra, Agustinus Putu Anggia Faradina Anggriani Angela Alim Antonius Rolling Basa Ola Aom Thai Ardila Nurjayastito Sulanjana Putri Asirah, Asirah Assel Zhanibek Astuti, Aldiana Aung Myint Baharuddin Baharuddin Baharuddin Baharuddin Benny Novico Zani Benny Novico Zani Berek, Norce Ch. Bimby Hidayat Buka, Sisilia Prima Yanuaria Cahyani Purnasari Cahyani Purnasari Chatrin Lenggu Choi Seojin Christin Rony Nayoan Christina Rony Nayoan Conrad L. H. Folamauk Dadang Muhammad Hasyim David B.W. Pandie Dawson Zulveritha Deddy Satria M Deni Anggreani Sutomo Dewi Sri Handayani Diana Catharina Yohanes Diki Prayugo Wibowo Dimas Rohman Ardiansyah Dionesia Octaviani Laput Dita Nurul Savitri Dito Anurogo Dito Anurogo Dito Anurogo, Dito Djati, Hyronymus Djawa, Agostin Nofembriyani Edon, Caro David Hadel Edwinandro V Salju Elisa Issusilaningtyas Elisabeth Novita Angriani L. Toruan Emily Nur Saidy Erny Erawati Pua Upa Ervina Indriyani Ethan Tan Eufrasia Prinata Padeng Fadhlur Rahman Faisal Razak Faradina, Anggia Farida Arinie Soelistianto Fatima Ahmed Fatmawati Pua Upa Fauzi Fauzi Fawzy, Nabiyl Ahmad Felipe Souza Fhahri Mubarak Fitriah Handayani Fitrya Rahmawaty Saleh Folamauk, Conrad Liab Hendricson Fransiska Nova Nanur Gracewati Rambu Ladu Day Gusnawati Gusnawati Hafaf Lutfiani Sani Haijal, Ahmad Halena Meldy Asa Halimatussakdiah Halimatussakdiah Halimatussakdiah Halimatussakdiah Hari Rarindo Hasnawati Husen Hendra Nusa Putra Hendra Nusa Putra Hetgen Palabuan Htwe, Thandar Idawati Trisno Iffah Atiqah Sari Ika Febianti Buntoro Imran, Un Dini Indah Raya Indra Mawardi Indrawan Azis Indriati A. Tedju Hinga Intan Kamala Aisyiah Iskandar Zulkarnaen Iskandar Zulkarnaen Ismail, Eddy H. Ismed Ismed Ismed Ismed Isymiarni Syarif Ivan Dimitrov Jackson Lee Jacob Matheos Ratu Januar Kulsaputro Jeane L.I. Sumarauw Jeanet Anggiany Sabaat Joko Sangaji Judijanto, Loso Junia Jessy Sarupy Junias, Marylin S. Kamaluddin, La Ode Amijaya Kamaruddin, Ilham Karolus Tokan, Yohanes Kenjam, Yoseph Khrisna Agung Cendekiawan Khusnul Dwi C Kikhau, Adriana M. O. Koamesah, Sangguana Marthen Jacobus Kolobani, Matias Nataniel Kuswara, Ketut Mahendra La Ode Amijaya Kamaluddin Lady Napedi Aome Laela Lenggu, Chatrin Jansye Lerik, M. Dinah Charlota Lewi Jutomo Listyawati Nurina Litik, Serlie Livia Alves Loda, Yohana Jawe Loso Judijanto Lucas Wong Luh Putu Rulianti M Dinah Charlota Lerik M Kurniawan Thalib M. Dinah Charlota Lerik M. Sjahrul M. Sjahrul Maidelwita, Yani Manafe, Ovlian Afri Manalu, Teacher Mandala, Damelia Manongga, SP. Manongga, Stefanus P Manurung, Imelda Februati Ester Margareta Elisabeth Kartona Aru Maria Antonia Nurak Maria Ermelinda Menge Bay Maria Faustina Arvidiani Maria Ivanova Mariana D.C. Lerik Mariana Paulina Putri Billa Marianus Ketmoen Marisa Sinlae Masrida Sinaga Masrida Sinaga Masrida Sinaga Mathias N. Kolobani Mathias N. Kolobani Mathias Nathaniel Kolobani Matias Nataniel Kolobani Matias Nataniel Kolobani MAURITZ PANDAPOTAN MARPAUNG Mayners, Marline Miksusanti Miksusanti Miksusanti Miksusanti Miksusanti Miksusanti Mozart Harpian Fereal Mori Uma Muhajirin Dean Muhammad Aminullah, Muhammad Muhammad Nazaruddin Muhammad Zakir Muhammad Zakir MULYADI Mustakin Sahdan Myint, Aung Nabuasa, Bernadeta Stien Julian Nadra Aga Iryani Nadra Aga Iryani Nadra Aga Iryani Nahak, Dominggus Florianus Naibaho, Netty Maria Nandar Hlaing Napitupulu, Melissa Putri M. Natalia Lisma Br Sembiring Neti Sulami Netty Maria Naibaho Nicholas Edwin Handoyo Nikosius Dae Sory Wutun Nizar Saputra Nofriana Inna Manulangga Noor Diah Erlinawati Nur Hasanah Nur Hasanah Nur, Marselinus Laga Nurani Ai Erlinawati Nurani Nurani Nurani Nurani Nurani Nurani Nurani Nurani Nurhikma Awaluddin Nurina, Rr. Listyawati Nurkhalika, Rachmi Nurlaela Nurlela Mariana Nababn Nurnainah Nurul Fatmawati Pua Upa Nurul Huda Nurviani, Rahima Oematan, Videl Apsi Panie, Chatrina H. Paula Tibuludji Perceka, Andhika Lungguh Pricilia Rilyn Restifanny Marolly Priyo Sasmito Purnawan, Sigit Putri, Hera Nur Rachmi Nurkhalika Radja Riwu, Yuliana Rasdi , Rasdi Refli Refli Regaletha, Tadeus A. L. Rina Waty Sirait Rini Ambarwati Riski Arisando Bahan Riski Dwi Prameswari Riski Dwi Prameswari Riwu, Magdarita Rizwan, Muhammad Rulianti, Luh Putu Rustam Rustam Rustam Rustam Rustan DM Rustan, Rustan Ryan Teo Sabina Gero Sabrina Doudou Safitri , Rizka Sahdan, Mustakim Saidy, Emily Nur Saldy Hapiwaty Salesman, Frans Salju, Edwinandro V Samat Yessentayev Sani, Hafaf Lutfiani Saputra, Ronni Sarah Williams Sarci M,Toy Sariyusda, Sariyusda SATRIYAS ILYAS Selvana Stien Tulandi Senci Marselin Beti Septania Rahmawati Ruth Taneo Serlie K.A. Littik Setianto, Rony Seubelan, Linda Sigit Purnawan Siri Lek Sisilia Prima Yanuaria Buka Siti Horidah Soelistianto, Farida Arinie Soetji Andari Soleman Landi Soleman Landi Souza, Felipe SP Manongga Sri Hartanti Masneno Sulistyo Andarmoyo Sumarauw, Jeane L.I. Sumayyah Jamal H. M. Arifin Suriati Lubis Syahdan, Mustakim Syauqi, Anis Tadeus A. L. Regaletha Tadeus A. L. Regaletha Tadeus AL. Regaletha Tadeus Andrea Lada Regaletha Tadeus Andreas Lada Regaletha Tadeus Andreas Lada Regaletha Tanty Rahayu Taty Noorhayati Thadeus A.L Regaletha Thalib, M Kurniawan Thandar Htwe Theodora Liefanda Bunga Titik Purwaningtyas Titu Eki , Ayub Ton Kiat Toy, Sarci M. Tulandi, Selvana Stien Tutik Wuryandari Un Dini Imran Un Dini Imran Upa, Fatmawati Pua Weraman, Pius Wijaya, R. Pasifikus Christa Wilanda, Alifah Wuryandari, Tutik Wutun, Nikosius Dae Sory Yani Maidelwita Yermia Djefri Manafe Yoseph Kenjam Yoseph Putra Albertino Mawo Zani, Benny Novico Zulham Zulkifli Halid