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Bagus Sartono
Departmen Statistika Institut Pertanian Bogor Gedung IPB Dramaga, Jl. Meranti Wing 22 Lantai 2 Kampus IPB Darmaga Bogor (16680) Indonesia Phone: +62-811-118-508
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COMPARISON OF SIMPLEX AND NELDER-MEAD OPTIMIZATION METHODS IN QUANTILE REGRESSION FOR BOGOR CITY RAINFALL ANALYSIS Erira, Salsa Rifda; Audina, Delia Fitri; Virgie, Meriza Immanuela; Suhaeri, ⁠Bulan Cahyani; Abyan, Muhammad Fatih; Akbar Rizki; Sartono, Bagus
Jurnal Statistika dan Aplikasinya Vol. 9 No. 2 (2025): Jurnal Statistika dan Aplikasinya
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.09203

Abstract

Predicting extreme rainfall is crucial for supporting planning in the agricultural sector, infrastructure development, and disaster mitigation in the city of Bogor. However, the asymmetric distribution of daily rainfall and the presence of outliers make linear regression methods less suitable. Quantile regression offers an alternative that captures the influence of explanatory variables across different parts of the data distribution, particularly in the extreme regions. This study compares the Simplex and Nelder-Mead methods for estimating quantile regression parameters on extreme rainfall data in Bogor. Daily rainfall data were obtained from the West Java BMKG Climate Station for the period from May 2024 to April 2025, comprising 365 observations, with four explanatory variables: average temperature, average humidity, sunshine duration, and average wind speed. Modeling was conducted at the 0.75, 0.85, and 0.95 quantiles to represent extreme rainfall. The results show that the Simplex method outperformed Nelder-Mead, as indicated by lower Pinball Loss and Mean Absolute Error (MAE) values at most quantiles. Humidity and average wind speed had a significantly positive effect on extreme rainfall intensity, while average temperature had a negative effect. Sunshine duration showed less consistent effects. Overall, the Simplex method is recommended for quantile regression optimization in extreme rainfall data due to its greater stability and accuracy in generating model parameters. However, this study is limited by the number of explanatory variables and the relatively short observation period. Incorporating additional variables such as air pressure, ENSO index, or topographical data, along with extending the observation period, could improve model accuracy and generalizability in future research.
Integrating Support Vector Regression and Kriging in Spatial Interpolation of Statistical Seismicity Parameters Sirodj, Dwi Agustin Nuriani; Aidi, Muhammad Nur; Sartono, Bagus; Syafitri, Utami Dyah; Pranata, Bayu
Indonesian Journal of Geography Vol 57, No 3 (2025): Indonesian Journal of Geography
Publisher : Faculty of Geography, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijg.102153

Abstract

Spatial interpolation methods, such as Inverse Distance Weighting (IDW) and kriging, are commonly used in various fields. In Kriging method, semivariogram fitting is an important step, where empirical data are used to derive a theoretical model. However, when the known theoretical semivariogram model does not provide a satisfactory fit, the bias in the estimated values is increased. To address this limitation, Support Vector Regression (SVR) can be used to model the empirical semivariogram with a machine-learning method. This method has been applied in ordinary kriging interpolation for semivariogram fitting to estimate parameters related to the potential occurrence of earthquake. Specifically, the calculated parameters, based on the Gutenberg-Richter law, include the seismic activity (a-value) and rock fragility (b-value) in the Sumatera region. The results showed that SVR can model the empirical semivariogram better than the theoretical. The integration of SVR-Ordinary Kriging provides the best performance compared to other methods, such as IDW, with the smallest RMSEP values for both the b-value and a-value measuring 0.1378 and 0.7423, respectively. Aceh and Mentawai Islands tend to show low a and b values, suggesting that these areas are more vulnerable to earthquake with large magnitudes.
Sustainability Strategy of PT XYZ in Entering the Blue Ammonia Industry in Indonesia Zulmi, Muhammad Indra; Zulbainarni, Nimmi; Sartono, Bagus
Journal of International Accounting, Taxation and Information Systems Vol. 2 No. 4 (2025): November
Publisher : CV. Proaksara Global Transeduka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70865/jiatis.v2i4.142

Abstract

Blue ammonia is emerging as a critical transitional solution in the global energy transition, with market volumes projected to grow from 1.1 million tons in 2023 to 9.2 million tons by 2028, and Indonesia has positioned it as a key pillar of its net-zero strategy by 2060. This article analyses the sustainability strategy of PT XYZ, an Indonesian integrated energy and chemical company, in entering the blue ammonia industry. Produced from natural gas with carbon capture and storage (CCS), blue ammonia offers a decarbonisation pathway for hard-to-abate sectors. PT XYZ is converting an existing ammonia plant but faces challenges including CCS costs, gas-price volatility, financing needs, and stringent international standards. The study aims to (1) map external opportunities and threats, (2) assess PT XYZ's internal resources and capabilities, and (3) formulate sustainability-oriented strategic alternatives. A mixed-method approach combines PESTLE and Porter's Five Forces analyses with Resource-Based View and VRIO assessment, followed by SWOT and TOWS synthesis using document review, interviews, focus groups, and expert questionnaires. Findings shed light that PT XYZ operates in a supportive yet demanding environment, possessing strengths in HSE culture, gas procurement, CCS design, MRV readiness, and contract management, alongside gaps in equity gas, CCS agreements, blended finance, and anchor contracts. The resulting SO, WO, ST, and WT strategies provide a roadmap for de-risking investment, securing premium markets, and aligning with long-term decarbonisation goals.
The Contribution of Information, Communication, and Technology (ICT) in Supply Chain Performance at Kebun Bangelan Imara, Fadiah Retno; Nurhadryani, Yani; Sartono, Bagus
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 2 (2025): Dinasti International Journal of Education Management And Social Science (Decem
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i2.5847

Abstract

Indonesia is the fourth largest coffee producer after Brazil, Vietnam, and Colombia, with an average coffee production value in Indonesia in 2022 reaching around 789.97 thousand tons per year. In 2014-2023, the largest type of coffee production was robusta coffee at 72.71% or 517.41 thousand tons. Kebun Bangelan, which produces coffee beans. This study aims to analyze the contribution of ICT, quality information sharing, supply chain collaboration, and supply chain performance. A mixed-methods approach was used in this research to determine the contribution of ICT by distributing questionnaires and depth-interviews with Kebun Bangelan employees. The coffee bean supply chain begins with planting raw materials, and production using machine technology. ICT used by Kebun Bangelan includes computers and supply chain data processing through applications, namely System Application and Product in Data Processing (SAP), spreadsheet, and Microsoft Office. The contribution of ICT shows a strong correlation with information sharing quality, a good correlation with supply chain collaboration, and a good correlation with supply chain performance.
IndoBERT Optimization for Sentiment Analysis on DeepSeek App Reviews Sunan, Muh.; Resiloy, Unique Desyrre A.; Endriani, Desy; Suhaeni, Cici; Sartono, Bagus; Dito, Gerry Alfa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 20, No 1 (2026): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.107507

Abstract

In the digital era, sentiment analysis is important to evaluate public opinion, especially in the context of Play Store apps with Indonesian-language reviews. This research aims to improve the performance of the IndoBERT model in sentiment analysis of DeepSeek app reviews by using data augmentation and hyperparameter tuning techniques. Data augmentation is done through the back-translation technique, while the hyperparameters tested include the number of epochs, learning rate, and batch size. Experimental results show that the combination of data augmentation with epoch 10, learning rate 2e-5, and batch size 16 produces the highest accuracy of 93.95% and F1-score of 0.94, with better stability than the model without augmentation. The model without augmentation showed fluctuations in performance, indicating overfitting in some configurations. These findings confirm the importance of applying augmentation techniques and hyperparameter tuning in improving the accuracy and stability of sentiment analysis models, and contribute to the development of NLP models for Indonesian and other resource-constrained languages.
The Impact of ESG (Environmental, Social And Governance) Implementation on Financial Performance in Mining Companies Nurrahmaniah, Nurrahmaniah; Nurhayati, Popong; Sartono, Bagus
Dinasti International Journal of Education Management and Social Science Vol. 7 No. 3 (2025): Dinasti International Journal of Education Management and Social Science (Febru
Publisher : Dinasti Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38035/dijemss.v7i3.6072

Abstract

The mining industry plays an essential role in the national economy, but it also has severe environmental impacts. Therefore, Corporate Sustainability Disclosure (CSD) is needed to ensure transparent, accountable reporting on sustainability risk mitigation and the improvement of companies' Environmental, Social, and Governance (ESG) practices. This study aims to analyze the effect of ESG disclosure transparency on the financial performance of mining companies listed on the Indonesia Stock Exchange (IDX) during the period 2018-2023. This study uses secondary data from annual, financial, and sustainability reports from the IDX and from companies' financial reports. The research sample comprises 40 companies selected through purposive sampling. This study uses panel data regression analysis with the Fixed-Effects and Random-Effects models selected via the Hausman test. The results of this study indicate that the level of sustainability disclosure and ESG scores of mining companies have increased consistently since 2020. The analysis results indicate that ESG disclosure has a positive and significant effect on ROA and ROE, suggesting that ESG transparency can enhance operational efficiency, strengthen risk management, and increase investor confidence.
Evaluation of Tree-Based Models for Predicting Social Assistance Recipient Status Based on National Socio-Economic Survey (SUSENAS) 2024 Hiola, Yani Prihantini; Zulhijrah; Putra, I Gusti Ngurah Sentana; Limba, Syella Zignora; Sartono, Bagus; Firdawanti, Aulia Rizki; Susetyo, Budi; Dito, Gerry Alfa
Journal of Mathematics, Computations and Statistics Vol. 9 No. 1 (2026): Volume 09 Issue 01 (March 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/xyyv0f37

Abstract

Abstract. Poverty is a major socioeconomic challenge in Indonesia that affects the effectiveness of social protection programs. In response to this challenge, the government has created social assistance programs to improve the welfare of the people. However, the distribution of social assistance is often considered to be inaccurate, resulting in households that are deemed eligible for social assistance not being identified as recipients. One solution to improve the accuracy of distribution is the application of machine learning in the context of classification. Several tree-based models, such as LightGBM, Random Forest, and XGBoost, were selected because of their superior capabilities compared to classical models such as logistic regression, especially in handling complex data and fulfilling model assumptions. This study compares the performance of these three models in predicting social assistance recipient status using data from the 2024 West Java Provincial National Socioeconomic Survey (SUSENAS). Model evaluation was conducted on several data pre-processing scenarios involving outlier handling, class balancing, and feature engineering. The results show that LightGBM consistently outperforms the other models on six metrics, namely Accuracy, Balanced Accuracy, F1-Score, ROC-AUC, PR-AUC, and Brier Score, out of a total of eight evaluation metrics used. SHAP analysis identifies Social Assistance History and Asset Score as the most influential features for model prediction. Friedman and Nemenyi nonparametric tests confirmed significant performance differences between LightGBM and other models based on the F1-Score, PR-AUC, and Brier Score metrics. These findings indicate that tree-based models, particularly LightGBM, can support the development of a more targeted and data-driven social assistance targeting system. Keywords: Social Assistance; Tree-Based; SHAP; SUSENAS; Hybrid Bayesian Optimization
Analysis of Household Risk Factors Associated with Food Anxiety Using Boosting-Based Machine Learning Methods Aisyah, Nisa Nur; Butar, Rupmana Br; Putri, Mega Ramatika; Amelia, Lisa; Sartono, Bagus; Firdawanti, Aulia Rizki
Journal of Mathematics, Computations and Statistics Vol. 9 No. 1 (2026): Volume 09 Issue 01 (March 2026)
Publisher : Jurusan Matematika FMIPA UNM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35580/nz9epj83

Abstract

Food anxiety represents an early psychological indicator of household food insecurity and is influenced by economic vulnerability, household characteristics, and unstable access to food. West Java, as Indonesia’s most populous province, faces substantial socio-economic disparities that heighten the risk of food insecurity. Using SUSENAS 2024 data, this study aims to classify household food anxiety and evaluate the predictive performance of three boosting algorithms XGBoost, LightGBM, and CatBoost. The dataset exhibits a strong class imbalance, with only 19.1% of households categorized as food anxious, prompting the application of SMOTE and Winsorization during preprocessing. SMOTE considerably improved model performance, particularly in balanced accuracy. For XGBoost, balanced accuracy increased sharply from 0.5199 to 0.8738, while LightGBM experienced a similar improvement from 0.5261 to 0.8736. Winsorization produced only marginal additional effects. Across all scenarios, XGBoost demonstrated the highest overall performance, followed closely by LightGBM, whereas CatBoost showed limited ability to detect minority-class households. These findings underscore the effectiveness of boosting algorithms especially XGBoost enhanced by SMOTE in identifying food-anxious households and supporting data-driven, targeted food security interventions in West Java.
Sustainability Strategy of PT XYZ in Entering the Blue Ammonia Industry in Indonesia Zulmi, Muhammad Indra; Zulbainarni, Nimmi; Sartono, Bagus
Journal of International Accounting, Taxation and Information Systems Vol. 2 No. 4 (2025): November
Publisher : CV. Proaksara Global Transeduka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70865/jiatis.v2i4.142

Abstract

Blue ammonia is emerging as a critical transitional solution in the global energy transition, with market volumes projected to grow from 1.1 million tons in 2023 to 9.2 million tons by 2028, and Indonesia has positioned it as a key pillar of its net-zero strategy by 2060. This article analyses the sustainability strategy of PT XYZ, an Indonesian integrated energy and chemical company, in entering the blue ammonia industry. Produced from natural gas with carbon capture and storage (CCS), blue ammonia offers a decarbonisation pathway for hard-to-abate sectors. PT XYZ is converting an existing ammonia plant but faces challenges including CCS costs, gas-price volatility, financing needs, and stringent international standards. The study aims to (1) map external opportunities and threats, (2) assess PT XYZ's internal resources and capabilities, and (3) formulate sustainability-oriented strategic alternatives. A mixed-method approach combines PESTLE and Porter's Five Forces analyses with Resource-Based View and VRIO assessment, followed by SWOT and TOWS synthesis using document review, interviews, focus groups, and expert questionnaires. Findings shed light that PT XYZ operates in a supportive yet demanding environment, possessing strengths in HSE culture, gas procurement, CCS design, MRV readiness, and contract management, alongside gaps in equity gas, CCS agreements, blended finance, and anchor contracts. The resulting SO, WO, ST, and WT strategies provide a roadmap for de-risking investment, securing premium markets, and aligning with long-term decarbonisation goals.
Analisis Kinerja Karyawan Generasi Z Berdasarkan Status Kepegawaian dan Masa Kerja di Lingkungan Startup Kusuma Ningtyas, Desi Prabandari; Sukmawati, Anggraini; Sartono, Bagus
JURNAL ADMINISTRASI & MANAJEMEN Vol 16, No 1 (2026): Jurnal Administrasi dan Manajemen
Publisher : Universitas Respati Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52643/jam.v16i1.7290

Abstract

Perkembangan pesat industri startup di Indonesia telah mengubah dinamika dunia kerja, terutama dengan meningkatnya keterlibatan generasi Z yang dikenal adaptif terhadap teknologi dan mengutamakan fleksibilitas kerja. Penelitian ini bertujuan untuk menganalisis pengaruh status kepegawaian dan masa kerja terhadap kinerja karyawan generasi Z di perusahaan startup. Penelitian menggunakan pendekatan kuantitatif deskriptif dengan data primer yang dikumpulkan melalui kuesioner online kepada 102 responden karyawan startup generasi Z. Teknik pengambilan sampel menggunakan purposive sampling. Data status kepegawaian dan masa kerja diperoleh dari karakteristik demografis responden, sedangkan kinerja karyawan diukur menggunakan skala Likert lima poin. Analisis dilakukan menggunakan Crosstab dan Chi-Square untuk melihat hubungan antarvariabel, korelasi Pearson untuk mengukur keeratan hubungan, serta regresi linier berganda (uji F) untuk menguji pengaruh variabel secara bersama. Hasil penelitian menunjukkan adanya hubungan positif dan signifikan antara status kepegawaian dengan kinerja karyawan (r sama dengan 0,393 atau sig. sama dengan 0,000) serta antara masa kerja dengan kinerja karyawan (r sama dengan 0,207 atau sig. sama dengan 0,037). Hasil uji ANOVA menunjukkan nilai signifikansi 0,002 (&lt atau 0,05) dan F hitung sebesar 6,472, yang mengindikasikan bahwa kedua variabel secara bersama berpengaruh signifikan terhadap kinerja karyawan generasi Z di perusahaan startup. Hasil penelitian ini menunjukkan bahwa status kepegawaian dan masa kerja merupakan faktor penting yang perlu diperhatikan dalam pengelolaan kinerja generasi Z di lingkungan kerja modern. Kata kunci : status kepegawaian, masa kerja, kinerja karyawan, generasi Z, 
Co-Authors -, Salsabila Aam Alamudi Abdul Aziz Nurussadad Abyan, Muhammad Fatih Achmad Fauzan Achsani, Noer Azham Adi Hadianto Adinna Astrianti Afendi, Farit M Agus M Soleh Agus M Soleh Agus M. Sholeh Agus Mohamad Soleh Agusta, Madania Tetiani Agwil, Winalia Aisyah, Nisa Nur Aji Hamim Wigena Akbar Rizki Akbar Rizki Akhilla, Kharismatul Zaenab Alfa Nugraha Pradana ALFIAN FUTUHUL HADI Alifviansyah, Kevin Alona Dwinata Alwinie, Ade Agusti Amanda, Nabila Tri Amatullah, Fida Fariha Amin, Toufiq Al Amir Abduljabbar Dalimunthe Anang Kurnia Andi Susanto Andrie Agustino Anggraeni, Kartika Novira Anggraini Sukmawati Ani Safitri Anik Djuraidah Anisa Nurizki Annisa Permata Sari, Annisa Permata Annissa Nur Fitria Fathina Anton Ferdiansyah Anwar Fajar Rizki Ardhani, Rizky Ardiansyah, Muhlis Arie Wahyu Wijayanto Arief Daryanto Arief Daryanto Arief Gusnanto Aris Yaman Aris Yaman Aristawidya, Rafika Aruddy Aruddy Aryasa, Komang Budi Asep Rusyana ASEP SAEFUDDIN Asfar Asrirawan, Asrirawan Audina, Delia Fitri Aulia Rizki Firdawanti Aunuddin Aunuddin Auzi Asfarian Ayu Sofia Azlam Nas Bagus Randhyartha Gumilar Bariq, Muhammad Shidqi Abdul Barokaturrizkia Ameliani Bayu Indrayana Bayu Pranata, Bayu Bayu Suseno Beny Mulyana Sukandar Billy Bimandra Adiputra Djaafara Bonar Marulitua Sinaga Budi Susetyo Budi Susetyo Bukhari, Ari Shobri Butar, Rupmana Br Cahya, Septa Dwi Carlya Agmis Aimandiga Cici Suhaeni Cici Suhaeni Cici Suhaeni Cintari, Nanda Putri Citra, Reza Felix Dani Al Mahkya Darwis Darwis Dede Dirgahayu Dede Dirgahayu Defri Ramadhan Ismana Deiby T Salaki Deni Achmad Soeboer Deri Siswara Desi Prabandari Kusuma Ningtyas Dessy Rotua Natalina Siahaan Dewi Margareth Lumbantoruan Dhanu Dhanu Saptowulan Dian Ayuningtyas Dian Handayani Dian Kusumaningrum Dito, Gerry Alfa Dwi Agustin Nuriani Sirodj Dwi Fitrianti Dwi Wahyu Triscowati Eko Ruddy Cahyadi Embay Rohaeti Endriani, Desy Erfiani Erfiani Erira, Salsa Rifda Erliza Noor Erwan Setiawan, Erwan Etis Sunandi EVI RAMADHANI EVITA PURNANINGRUM Fachry Abda El Rahman Fadhila Hijryani FAHREZAL ZUBEDI Fany Apriliani Farit M. Afendi Farit Mochamad Afendi Fauzi, Fatkhurokhman Ferdiansyah, Anton Ferdiansyah, Anton Fitri Mudia Sari Fitrianto, Anwar Frisca Rizki Ananda Galih Hedy Saputra Gerry Alfa Dito Ghiffary, Ghardapaty Ghaly Ginting, Victor Gumilar, Bagus Randhyartha Hanum Rachmawati Nur Hardiana Widyastuti Hari Wijayanto Hari Yanni, Meri Harianto Harianto Hartoyo Hartoyo Hartoyo Hazan Azhari Zainuddin Hendri Wijaya Hendria, Muhammad Herlin Fransiska Herlina Herlina Hidayat, Agus Sofian Eka Hidayat, Muhammad Hilman Dwi Anggana Hiola, Yani Prihantini I Made Sumertajaya I Wayan Mangku Idqan Fahmi Ilma, Hafizah Ilma, Meisyatul Ilmani, Erdanisa Aghnia Iman, Mutiara Nurul IMARA, FADIAH RETNO INA YATUL ULYA Indahwati Indonesian Journal of Statistics and Its Applications IJSA Intan Arassah, Fradha Irene Muflikh Nadhiroh Irfan Syauqi Beik Ismah, Ismah Ita Wulandari Itasia Dina Sulvianti Iwan Kurniawan Jaelani, Raditya Kamila, Sabrina Adnin Khairil Anwar Notodiputro Khairunnajah Khairunnajah Khairunnisa, Adlina Khikmah, Khusnia Nurul Kudang Boro Seminar Kusman Sadik Kusnaeni Kusnaeni, Kusnaeni Kusuma Ningtyas, Desi Prabandari La Surimi, La Laode Ahmad Sabil Leni Anggraini Susanti Lilik Noor Yuliati Limba, Syella Zignora Linda Karlina Sari Lisa Amelia Luky Adrianto Lukytawati Anggraeni M. Yunus Magfirrah, Indah Matualage, Dariani Megawati - Megawati Simanjuntak Meylisah, Eni Mohamad Agus Setiawan Muhammad Hendria Muhammad Ilham Abidin Muhammad Irfan Hanifiandi Kurnia Muhammad Nur Aidi Muhammad Subianto Muhammad Syafiq Muhammad Yusran Mukhamad Najib Murpraptomo, Saka Haditya Musthafa, Hafiz Syaikhul MY, Hadyanti Utami Nimmi Zulbainarni Nofrida Elly Zendrato Novian Tamara Nugraha, Adhiyatma Nur Aulia NUR HASANAH NURADILLA, SITI Nurfadilah, Khalilah Nurrahmaniah, Nurrahmaniah Oktaviani, Rina Pardomuan Robinson Sihombing Parwati Sofan, Parwati Pika Silvianti Popong Nurhayati Pratiwi, Windy Ayu Purnaningrum, Evita Purwanto, Arie Puspita, Novi Putra, I Gusti Ngurah Sentana Putri, Mega Ramatika Qalbi, Asyifah Rachma Fitriati Rahardi, Naufal Rahardiantoro, Septian Rahma Anisa Rahma Anisa Rahma Dany Asyifa Rahman, Gusti Arviana Rahmatulloh, Febriandi Rais Rere Kautsar Resiloy, Unique Desyrre A. Rhendy K P Widiyanto Riantika, Ines Rina Oktaviani Rini, Dyah Setyo Riska Yulianti, Riska Riza Indriani Rakhmalia Rizal Bakri Rizka Rahmaida Rizqi, Tasya Anisah ROCHYATI ROCHYATI Roy Sembel Sachnaz Desta Oktarina salsa bila Saptowulan Sarah Putri Sari, Jefita Resti Sentana Putra, I Gusti Ngurah Seta Baehera Setiabudi, Nur Andi Setiadi Djohar Setyowati, Silfiana Lis Sholeh, Agus M. Siregar, Indra Rivaldi Siskarossa Ika Oktora Sri Amaliya Suantari, Ni Gusti Ayu Putu Puteri Suhaeni, Cici Suhaeri, ⁠Bulan Cahyani Sukarna Sukarna Sunan, Muh. Suprayogi, Muhammad Azis Susanto, Andi Suseno Bayu Syam, Ummul Auliyah Syarip, Dodi Irawan Totong Martono Toufiq Al Amin Toufiq Al Amin Triscowati, Dwi Wahyu Tsabitah, Dhiya Ulayya Tsaqif, Denanda Aufadlan Ujang Sumarwan Ulfia, Ratu Risha Utami Dyah Syafitri Valentika, Nina Vera Maya Santi Virgie, Meriza Immanuela Wahida Ainun Mumtaza Wahyudi Setyo Wahyuni, Silvia Tri Waliulu, Megawati Zein Wawan Saputra Yani Nurhadryani Yanuari, Eka Dicky Darmawan Yenni Angraini Yoga Primanda Yopi Ariesia Ulfa Yudhianto, Rachmat Bintang Yuliani, Leny Zahra, Latifah Zaima Nurrusydah Zulhijrah Zulmi, Muhammad Indra