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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) HAYATI Journal of Biosciences PHARMACON Jurnal Bios Logos Animal Production : Indonesian Journal of Animal Production Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Makara Journal of Science Heca Journal of Applied Sciences Malacca Pharmaceutics Health & Medical Sciences Journal of Educational Management and Learning Infolitika Journal of Data Science Grimsa Journal of Science Engineering and Technology Jurnal Inovasi Global Borneo Journal of Pharmacy
TRINA EKAWATI TALLEI
Faculty of Mathematics and Natural Sciences, Sam Ratulangi University Manado
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Education Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Hubungan antara Stres Kerja dengan Disfungsi Ereksi pada Sopir Angkutan Umum di Terminal Malalayang Manado Tahun 2024 Arifin, Mulyani; Tendean, Lydia E. N.; Tallei, Trina Ekawati
Health & Medical Sciences Vol. 2 No. 2 (2025): February
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/phms.v2i2.343

Abstract

Stres kerja menjadi salah satu penyebab utama terjadinya penyakit mental. Secara global, sekitar 3 juta pekerja mengeluhkan masalah stres kerja, dan prevalensi stres kerja bervariasi antara 30 % - 52,5 %. Salah satu akibat dari stres kerja adalah memicu terjadinya disfungsi ereksi. Tujuan: Menganalisis hubungan antara stres kerja dengan disfungsi ereksi pada sopir angkutan umum di Terminal Malalayang Manado tahun 2024. Metode: Penelitian ini menggunakan jenis penelitian kuantitatif yang bersifat survei analitik dengan desain penelitian cross sectional study. Teknik pengambilan sampel menggunakan consecutive sampling dan instrumen penelitian menggunakan kuesioner Perceived Stress Scale (PSS) untuk menilai tingkat stres dan kuesioner International Index of Erectile Function (IIEF – 5) untuk menilai derajat disfungsi ereksi. Hasil: Dari 86 sampel yang diteliti, terdapat 64 responden (74,4 %) yang mengalami disfungsi ereksi. Responden dengan disfungsi ereksi terbanyak berada pada kelompok stres kerja derajat sedang (46,5 %). Kelompok dengan derajat disfungsi ereksi ringan memiliki persentase tertinggi (29,0 %). Analisis data menggunakan uji Chi-square didapatkan p-value = 0,013 (p ≤ 0,05). Kesimpulan: Terdapat hubungan yang signifikan antara stres kerja dengan disfungsi ereksi pada sopir angkutan umum di Terminal Malalayang Manado Tahun 2024.
Network Pharmacology Insights into Broccoli Microgreens for Prostate Cancer Wijaya, Puspita; Tallei, Trina Ekawati; Tendean, Lydia Estelina Naomi; Fatimawali, Fatimawali; Turalaki, Grace Lendawati Amelia; Purwanto, Diana Shintawati
Heca Journal of Applied Sciences Vol. 3 No. 1 (2025): March 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v3i1.264

Abstract

Prostate cancer is a leading malignancy in men, ranking fourth globally and fifth in Indonesia (GLOBOCAN 2020). Conventional therapies, though available, are limited by high costs, side effects, and resistance, highlighting the need for accessible alternatives. Broccoli microgreens, rich in bioactive compounds, have shown potential in preventing and treating various cancers. This study hypothesized that bioactive compounds in broccoli microgreens interact with molecular targets involved in prostate cancer progression. To test this hypothesis, we employed a network pharmacology-based in silico approach to systematically explore these interactions and identify potential therapeutic mechanisms. Bioactive compounds in broccoli microgreens were identified using liquid chromatography-mass spectrometry (LC-MS) and analyzed via the PubChem database. The biological activities of these compounds were predicted using PASS Online, focusing on their capacity to modulate TP53 gene expression. Pharmacokinetic and toxicity evaluations were performed using ADMETLab 3.0 and Protox 3.0 to assess their safety and drug-like properties. Target proteins were identified through SwissTargetPrediction and GeneCards, while protein-protein interaction networks were constructed using STRING. The pharmacological network was visualized using Cytoscape to elucidate the molecular mechanisms of action. The analysis identified 528 relevant target proteins, with key roles attributed to SRC and EGFR, both critical in resistance to EGFR tyrosine kinase inhibitors and in regulating processes such as cell proliferation, apoptosis resistance, and metastatic potential. Through network pharmacology, bioactive compounds such as kaempferol and polydatin were identified as potential inhibitors of these targets, demonstrating their ability to modulate pathways essential to prostate cancer progression. In conclusion, broccoli microgreens contain bioactive compounds with potential pharmacological relevance for prostate cancer, particularly through their interaction with SRC and EGFR pathways, warranting further experimental validation.
Appraisal of Antioxidant Potential in Broccoli Microgreens under Different Drying Techniques Utilizing In Vitro and in Silico Methods Tallei, Trina Ekawati; Wungouw, Herlina Ineke Surjane; Kepel, Billy Johnson; Fatimawali, Fatimawali; Celik, Ismail; Niode, Nurdjannah Jane; Barasarathi , Jayanthi
Malacca Pharmaceutics Vol. 3 No. 1 (2025): March 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/mp.v3i1.259

Abstract

Broccoli microgreens, rich in bioactive compounds, offer health benefits aligned with SDG 3: “Good Health and Well-Being.” Their antioxidants combat oxidative stress tied to chronic diseases, but drying can affect their activity. This study assessed the antioxidant capacities of fresh, microwave-dried, and air-fryer-dried broccoli microgreens using in vitro (DPPH assay) and in silico (molecular docking and dynamics) methods. The microgreens were cultivated under controlled conditions and dried using microwave and air-fryer techniques. Antioxidant activity was evaluated using the DPPH assay using ethanolic extracts. The bioactive compounds of fresh microgreens, detected through GC-MS, were analyzed in silico to evaluate their interactions with the target proteins CYP2C9 and NOX2. The findings revealed that air-fryer-dried microgreens demonstrated the highest DPPH activity, followed by fresh microgreens, while microwave-dried samples exhibited the lowest activity. GC-MS analysis of fresh samples revealed the presence of various compounds, including acids, ketones, sulfides, heterocycles, alcohols, esters, aromatic compounds, phthalate ester, and aldehydes. Molecular docking revealed strong interactions of certain compounds in fresh samples and CYP2C9 and NOX2, suggesting therapeutic potential against oxidative stress. Molecular dynamics simulations (MDS) showed stable binding for the CYP2C9-Methyl myristate complex, while the NOX-(Z)-1,2-Diphenylethene complex displayed weaker stability. In conclusion, broccoli microgreens show potential in mitigating oxidative stress, with air-fryer drying slightly enhancing their antioxidant activity. The antioxidant capacity of fresh microgreens is comparable to that of air-fryer-dried microgreens. In silico analyses demonstrate stable interactions between compounds in fresh microgreens and key proteins implicated in oxidative stress.
Targeting Prostate Cancer with Rambutan Peel-Derived Compounds via Network Pharmacology Utami, Wulandari Putri; Tallei, Trina Ekawati; Turalaki, Grace Lendawati Amelia; Tendean, Lydia Estelina Naomi; Kaseke, Martha Marie; Purwanto, Diana Shintawati
Malacca Pharmaceutics Vol. 3 No. 1 (2025): March 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/mp.v3i1.262

Abstract

Prostate cancer is a prevalent malignancy in men, originating in the prostate gland and often driven by genetic alterations and hormonal dysregulation. Rambutan (Nephelium lappaceum L.) peel, a byproduct of fruit consumption, has demonstrated potential anticancer activity. This study employed a network pharmacology-based in silico approach to evaluate the therapeutic potential of rambutan peel extract in prostate cancer treatment. Bioactive compounds were identified through database searches, and their biological activities were predicted using PASS Online. Pharmacokinetic and toxicity profiles were assessed using ADMETLab 3.0 and Protox 3.0 to evaluate safety and drug-like properties. Potential target proteins were identified via SwissTargetPrediction and GeneCards, while protein-protein interaction networks were constructed using STRING. The pharmacological networks were visualized using Cytoscape to elucidate molecular mechanisms of action. The analysis identified 28 bioactive compounds in rambutan peel extract, with 11 demonstrating activity against prostate cancer (Pa > 0.5). These compounds were deemed safe based on Lipinski's Rule of Five (Ro5) and categorized within toxicity classes V and VI. Rambutan peel extract was found to target 501 proteins associated with prostate cancer, including key pathways involved in resistance to EGFR tyrosine kinase inhibitors. Network pharmacology analysis highlighted several key target genes, including SRC, GNAI1, PIK3CA, PIK3CD, MAPK1, MAPK3, AKT1, GNAI3, PRKCA, and HSP90AA1. Among these, SRC exhibited the highest centrality score, underscoring its pivotal role in disrupting tumorigenic and metastatic signaling pathways, suppressing cancer cell proliferation, and enhancing therapeutic responses. These findings suggest that rambutan peel extract holds promise as a natural therapeutic agent for prostate cancer, warranting further experimental and clinical validation.
Comparative study of drying techniques on the anti-inflammatory content of bitter leaf simplicia (Vernonia amygdalina Del.) Tamala, Yulianida; Yani, Moh.; Sailah, Illah; Halimatushadyah, Ernie; Tallei, Trina Ekawati
Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Vol 8, No 1 (2025)
Publisher : Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ub.afssaae.2025.008.01.10

Abstract

Bitter leaf (Vernonia amygdalina Del.) hold significant potential for development in the pharmaceutical industry due to its high content of bioactive compounds, particularly flavonoids, which serve as a source of anti-inflammatory agents. A major challenge in processing bitter leaf into dried simplicia is the selection of an appropriate drying technique, as the drying process can alter the active compounds present in the plant. This study aimed to analyze the drying rate of bitter leaf and evaluate the most effective drying technique for preserving their anti-inflammatory properties. The drying process was conducted using an oven dryer at 40°C and 50°C, as well as a greenhouse dryer, and the reduction in moisture content over time was recorded. The dried simplicia was subsequently subjected to phytochemical screening and anti-inflammatory activity testing. The results indicated that the drying durations required to achieve a final moisture content of <10% were 44 hours at 40°C, 20 hours at 50°C, and 9 hours using the greenhouse drying method. Phytochemical analysis confirmed the presence of saponins, alkaloids, flavonoids, tannins, and steroids in the bitter leaf extract. The IC₅₀ values for the three drying methods were determined to be 25.33 ppm, 61.05 ppm, and 114.25 ppm, respectively. Among the drying methods tested, oven drying at 40°C yielded the highest anti-inflammatory activity, with an IC₅₀ value of 25.33 ppm. The regression equation obtained was y = 0.072x + 48.176, with an R² value of 0.9899, indicating a strong correlation between extract concentration and inflammation inhibition. This suggests the potential for reliable prediction of optimal dosages for pharmacological applications.
Prostate Cancer Vaccines: Progress, Challenges, and Future Directions Runtunuwu, Stefanus Vicky Bernhard Elisa; Tallei, Trina Ekawati; Turalaki, Grace Lendawati Amelia
Heca Journal of Applied Sciences Vol. 3 No. 1 (2025): March 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/hjas.v3i1.263

Abstract

Prostate cancer remains a major contributor to cancer-related deaths in men, with its incidence rising significantly with age. Conventional treatment modalities, including surgery, radiation therapy, hormonal therapy, and chemotherapy, often face limitations such as treatment resistance, disease recurrence, and considerable side effects. These challenges have sparked growing interest in novel approaches like immunotherapy, which leverages the immune system to combat cancer. Among these, vaccine-based immunotherapy has emerged as a promising strategy, aiming to generate precise immune responses against tumor-specific antigens. Advances in immunology, molecular targeting, and vaccine development have demonstrated encouraging results in terms of safety and immunogenicity. Nevertheless, obstacles such as tumor heterogeneity, immune escape mechanisms, and limited efficacy in advanced stages of the disease continue to hinder progress. The aim of this review is to examine the current landscape of prostate cancer vaccine development, with a focus on advancements in molecular target identification, optimization of vaccine technologies, and the evaluation of combination therapy strategies. Findings from clinical trials have shed light on both the opportunities and challenges of vaccine-based therapies. Synergistic approaches involving immune checkpoint inhibitors, radiotherapy, and androgen deprivation therapy have shown potential to amplify immune responses and mitigate resistance mechanisms. Additionally, emerging technologies such as bioinformatics and artificial intelligence are revolutionizing vaccine development by enabling the discovery of patient-specific neoantigens and the creation of tailored vaccine formulations. Despite these breakthroughs, achieving consistent therapeutic outcomes remains challenging, particularly in metastatic and castration-resistant cases. Future directions in the field include developing personalized cancer vaccines, adopting adaptive clinical trial designs, and employing innovative endpoints to streamline translation into clinical practice. In summary, while prostate cancer vaccine development has advanced significantly, addressing critical barriers like tumor heterogeneity and immune evasion and embracing emerging technologies are essential for optimizing personalized vaccines and improving treatment outcomes.
Integrated DNA Barcoding and Morphometric Characterization of Palm Weevils (Rhynchophorus spp.) in North Sulawesi Balansa, Endrile Golmen; Salaki, Christina Leta; Tarore, Dantje; Mamahit, Juliet Merry Eva; Kolondam, Beivy Jonathan; Tallei, Trina Ekawati
HAYATI Journal of Biosciences Vol. 32 No. 5 (2025): September 2025
Publisher : Bogor Agricultural University, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.4308/hjb.32.5.1260-1272

Abstract

Palm weevils (Rhynchophorus spp.) are significant pests of sago palms worldwide. Yet, the taxonomy and evolutionary lineage of these species in North Sulawesi remain unclear, likely due to geographic isolation driving genetic variation and species differentiation. This study aimed to investigate the genetic diversity and morphological differentiation of Rhynchophorus across distinct geographic regions in North Sulawesi using an integrative approach combining DNA barcoding and morphometric analysis. Morphometric traits from palm weevil specimens collected in Sangihe Island, Minahasa, and Bolaang Mongondow were measured and statistically analyzed using one-way ANOVA, MANOVA, principal component analysis (PCA), and linear discriminant analysis (LDA) to assess interpopulation morphological differences. For molecular identification, the cytochrome oxidase I (COI) gene was amplified and sequenced. Phylogenetic relationships were inferred using the maximum likelihood method, and a DNA barcode gap analysis was conducted to evaluate the separation between intra- and interspecific genetic distances. Morphometric analysis revealed significant size variations among the specimens, particularly in rostrum dimensions, with the EBBM (Bolaang Mongondow) group showing the highest values. COI-gene-based identification confirmed that all specimens were of R. vulneratus. However, phylogenetic analysis showed EBMin (Minahasa) and EBBM forming a distinct subgroup, while EBMan, EBSTS, EBTam, and EBSTU (all from Sangihe Island) clustered separately. Barcode gap analysis demonstrated a clear distinction between intra- and interspecific divergence, validating COI as a reliable marker for species delimitation. This study concludes that integrating morphometric and genetic analyses reveals geographic structuring within R. vulneratus, highlighting the effectiveness of combined methods for accurate identification and population differentiation.
Investigation on low-performance tuned-regressor of inhibitory concentration targeting the SARS-CoV-2 polyprotein 1ab Sengkey, Daniel Febrian; Regina Masengi, Angelina Stevany; Sambul, Alwin Melkie; Tallei, Trina Ekawati; Unsratdianto Sompie, Sherwin Reinaldo
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i4.pp3003-3013

Abstract

Hyperparameter tuning is a key optimization strategy in machine learning (ML), often used with GridSearchCV to find optimal hyperparameter combinations. This study aimed to predict the half-maximal inhibitory concentration (IC50) of small molecules targeting the SARS-CoV-2 replicase polyprotein 1ab (pp1ab) by optimizing three ML algorithms: histogram gradient boosting regressor (HGBR), light gradient boosting regressor (LGBR), and random forest regressor (RFR). Bioactivity data, including duplicates, were processed using three approaches: untreated, aggregation of quantitative bioactivity, and duplicate removal. Molecular features were encoded using twelve types of molecular fingerprints. To optimize the models, hyperparameter tuning with GridSearchCV was applied across a broad parameter space. The results showed that the performance of the models was inconsistent, despite comprehensive hyperparameter tuning. Further analysis showed that the distribution of Murcko fragments was uneven between the training and testing datasets. Key fragments were underrepresented in the testing phase, leading to a mismatch in model predictions. The study demonstrates that hyperparameter tuning alone may not be sufficient to achieve high predictive performance when the distribution of molecular fragments is unbalanced between training and testing datasets. Ensuring fragment diversity across datasets is crucial for improving model reliability in drug discovery applications.
Network Pharmacology Identifies AKT1, SRC, and STAT3 as Therapeutic Targets of Tempeh-Derived Peptides in Breast Cancer Takawaian, Agrita Feisilia; Antasionasti, Irma; Tallei, Trina Ekawati
Malacca Pharmaceutics Vol. 3 No. 2 (2025): September 2025
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/mp.v3i2.331

Abstract

Breast cancer remains a major cause of mortality among women, particularly the aggressive subtypes HER2-positive and triple-negative breast cancer (TNBC). Fermented foods such as tempeh contain bioactive peptides with potential therapeutic properties, including anticancer activity, yet their molecular mechanisms in cancer remain unclear. This study aimed to investigate the potential of tempeh-derived peptides as anti-breast cancer agents using a network pharmacology approach integrated with molecular docking. Tempeh peptides were collected from previously published literature. Target genes of tempeh-derived peptides were predicted and compared with breast cancer–associated genes to identify overlapping candidates. These were analyzed through protein–protein interaction networks and subjected to functional and pathway enrichment to uncover key molecular mechanisms. The results showed that tempeh-derived peptides are closely linked to key oncogenic pathways, including PI3K-Akt, ErbB, MAPK, JAK-STAT, and general cancer signaling. Protein–protein interaction network analysis highlighted AKT1, SRC, STAT3, and PIK3CA as central hub proteins with well-established roles in regulating proliferation, migration, angiogenesis, and survival. AKT1 is strongly connected to HER2-driven signaling, SRC is involved in both HER2+ and therapy-resistant TNBC, STAT3 is critically implicated in TNBC biology, and PIK3CA functions as a pivotal upstream regulator of AKT1, underscoring their therapeutic significance. Molecular docking confirmed strong binding affinities of peptides such as Trp-Met-Phe-Asp-Trp, Pro-Phe-Tyr-Phe, and Trp-Met-Gly-Pro-Tyr to these hubs, suggesting disruption of phosphorylation-dependent activation and downstream oncogenic cascades. These findings support the potential of tempeh-derived peptides as multi-target modulators in aggressive breast cancer subtypes and highlight the need for experimental validation to advance their therapeutic application.
In Silico Analysis of the Antigastritis Activity of Gedi (Abelmoschus manihot) Flower Flavonoids on H2 Receptor Adikila, Gregorius Giani; Hariyanto, Yuanita Amalia; Tallei, Trina Ekawati; Suoth, Elly Juliana; Sudewi, Sri; Fatimawali, Fatimawali
Borneo Journal of Pharmacy Vol. 8 No. 3 (2025): Borneo Journal of Pharmacy
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/bjop.v8i3.7586

Abstract

Gastritis remains a highly prevalent health concern in Indonesia, underscoring a continuous demand for innovative therapeutic interventions. The flower of Abelmoschus manihot, commonly known as Gedi, has garnered interest for its potential antigastritis properties, specifically as an H2 antagonist, attributed to its rich flavonoid content. This study aimed to rigorously evaluate the H2 antagonist potential of A. manihot flowers using an in silico approach. Our research methodology involved assessing the physicochemical and pharmacokinetic profiles, alongside molecular docking simulations, of ten prominent flavonoid ligands identified in A. manihot flowers: quercetin, myricetin, myricetin-3-O-glucoside, myricetin-3'-O-glucoside, quercetin-3'-O-glucoside, hibifolin, isoquercetin, hyperoside, quercetin-3-O-robinobioside, and rutin. The analysis of physicochemical and pharmacokinetic properties encompassed Lipinski's Rule of Five and comprehensive ADMET predictions. Molecular docking simulations focused on evaluating binding energies and interactions with crucial H2 receptor residues: Asp98, Asp186, Val99, and Phe254. Among the ligands being assessed, quercetin demonstrated the most favorable physicochemical-pharmacokinetic characteristics and exhibited superior binding affinities and interactions in the molecular docking analysis. These findings collectively suggest that A. manihot flower holds significant promise as a natural source for antigastritis agents, specifically through its potential H2 antagonist activity, with quercetin emerging as a key contributing compound.
Co-Authors Abas, Abdul Hawil Adikila, Gregorius Giani Angelina Stevany Regina Masengi Antasionasti, Irma Any Aryani Arifin, Mulyani Asep Rusyana Azzania Fibriani Balansa, Endrile Golmen Barasarathi , Jayanthi BEIVY JONATHAN KOLONDAM Celik, Ismail Daniel Febrian Sengkey Dantje Tarore Diah - Kusumawaty Diah Puspitasari Dian Handayani Diana Setya Ningsih, Diana Didik Priyandoko Dolongtelide, Jeclin Inebel Dzikrina, Hanina El-Shazly, Mohamed Elly Suoth Emran, Talha Bin Erwin Wantasen Estevam, Ethiene Castellucci Faisal, Farassa Rani Fatimawali . Florencia N. Sompie Ghazi Mauer Idroes Halimatushadyah, Ernie Hariyanto, Yuanita Amalia Herny E.I. Simbala Hizir Sofyan Idroes, Ghifari Maulana Illah Sailah Irvanizam, Irvanizam Jein Rinny Leke, Jein Rinny Kalalo, Marko Jeremia Kemala, Pati Kepel, Billy Johnson Khairan Khairan Laksono Trisnantoro Lala, Andi Lydia E. N. Tendean, Lydia E. N. Mamahit, Juliet Merry Eva Martha Marie Kaseke Masengi, Kyoko Itsuko Etsuko Gabriela Maulana, Aga Maulydia, Nur Balqis Mirda, Erisna Moh. Yani Mohd Fauzi, Fazlin Monoarfa, Alexander James Muliadi Ramli Musdalifah, Annisa Nabila, Fiki Farah Niode, Nurdjannah Jane Nurul Faridah, Nurul Patwekar, Mohsina Paulina yamlean Pendong, Christa Hana Angle Purukan, Christy Purwanto, Diana Shintawati Rahman, Sunarti Abd Ratte, Titah Amelia Rinaldi Idroes Rizkia, Tatsa Roni Koneri Runtunuwu, Stefanus Vicky Bernhard Elisa Salaki, Christina Leta Salaswati, Salaswati Sambul, Alwin Melkie Sari, Nadia Warda Sekar Sasmita, Novi Reandy Siampa, Jainer Pasca Sri Sudewi, Sri Takawaian, Agrita Feisilia Tamala, Yulianida Tania, Adinda Dwi Tendean, Lydia Estelina Naomi Teuku Rizky Noviandy Tumilaar, Sefren Geiner Turalaki, Grace Lendawati Amelia Unsratdianto Sompie, Sherwin Reinaldo Utami, Wulandari Putri Wawo, Arsianita Ester Wijaya, Puspita Wungouw, Herlina Ineke Surjane Zuchra Helwani, Zuchra Zulkarnain Jalil