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Utilization of Google Translate in Teaching Writing Skills for Students of STAI Masjid Syuhada Hafidhah, Shiddiqoh; Elmi, Bellah Asa O'Neal; Syamsiyah, Dailatus; Astuti, Widi
Al Mi'yar: Jurnal Ilmiah Pembelajaran Bahasa Arab dan Kebahasaaraban Vol 8 No 1 April 2025
Publisher : STIQ Amuntai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35931/am.v8i1.4603

Abstract

This study aims to explore the response of STAI Masjid Syuhada students to the use of Google Translate in learning maharah kitabah. This study uses a descriptive qualitative approach. This approach aims to understand phenomena based on the experiences, perceptions, and views of the research subjects. The subject of this research is STAI students of the Syuhada Masjid. This sampling technique is purposive sampling. The selection of subjects is based on specific criteria relevant to the research objectives: students actively participating in imla' and insya' courses and using Google Translate for learning maharah kitabah. The data collection technique used in this study is a closed questionnaire. The results of the study show that most students often use Google Translate, especially in learning maharah kitabah. The reasons why students use Google Translate are quite varied, including to complete assignments, understand vocabulary, improve grammar, and improve the quality of writing. However, with Google Translate, the majority of students feel helped in learning maharah kitabah. This study suggests using Google Translate as a learning tool, but it still requires double-checking to ensure optimal use.
Nickel recovery from nickel-containing spent catalyst using atmospheric leaching and oxalate precipitation Widi Astuti; Yuniati, Mutia Dewi; Yuda, Aulia Pertiwi Tri; Sumardi, Slamet; Dewi, Jilda Sofiana; Wanta, Kevin Cleary; Petrus, Himawan Tri Bayu Murti
Jurnal Rekayasa Proses Vol 19 No 2 (2025): Volume 19, Number 2, 2025
Publisher : Jurnal Rekayasa Proses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jrekpros.17589

Abstract

A study has been done to investigate and optimize the recovery of nickel from nickel-containing spent catalyst through sulfuric acid (1 - 2 mol/L) atmospheric leaching in different operation conditions. From the leaching experiments, it was possible to extract 77.95% nickel under the conditions of 2 mol/L H2SO4, reaction time of 5 h, 5% pulp density, and temperature of 80°C. In the next step Ni was selectively precipitated from a sulfuric acid-leached solution using 1 mol/L oxalic acid. The nickel content in the product was 97.29% Ni. Based on the study, sulfuric acid was found to be a suitable leaching agent to extract Ni from the nickel-containing spent catalyst. The study also indicated the effective extraction and recovery of nickel which was well supported by characterization studies using XRD technique.
Dual-synergistic effects of citric acid on atmospheric leaching of manganese ores Widi Astuti; Rofiek Mufakhir, Fika; Iman Supriyatna, Yayat; Daulay, Amru; Setyadji, Moch.; Sofiana Dewi, Jilda
Jurnal Rekayasa Proses Vol 19 No 2 (2025): Volume 19, Number 2, 2025
Publisher : Jurnal Rekayasa Proses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jrekpros.17590

Abstract

In the current study, a leaching of manganese from Indonesian manganese ores using citric acid as leaching reagent without the addition of reducing agent was investigated. Citric acid was being used as a leaching reagent and reducing agent at same time due to its reducing power. Several leaching parameters were investigated to obtain the optimum condition of citric acid leaching of manganese from those manganese ores. Low grade manganese ores from two mining areas in Indonesia contained 36.77% Mn (WK ore) and 12.5% (TG ore) with different mineral types can be leached using citric acid as leaching reagent without addition of reducing agent. The optimum manganese recovery was obtained at around 76% and 69% respectively for WK ore and TG ore with citric acid of 1M, 5% of pulp density, 150 rpm of shaker speed, 30oC of leaching temperature, 1 hour of leaching period, and <75 µm of ore particle size. This condition was also selective for iron recovery leaching. This experiment proves that citric acid has a dual-synergistic effect as an effective leaching reagent and reducing agent at the same time for manganese leaching from manganese ores.
Extraction of manganese from Indonesian manganese ore using sugarcane bagasse-acid reductive leaching Widi Astuti; Pinania, Kherani Hana; Lesmana, Donny; Dewi, Jilda Sofiana; Supriyadi, Harry; Sumardi, Slamet; Prakosa, Agus
Jurnal Rekayasa Proses Vol 19 No 1 (2025): Volume 19, Number 1, 2025
Publisher : Jurnal Rekayasa Proses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jrekpros.17591

Abstract

In this study, sugarcane bagasse was used as a reducing agent in manganese leaching from manganese ore from Way Kanan, Lampung under acidic conditions using sulfuric acid as a leaching reagent. Bagasse is an agricultural waste from the cane sugar manufacturing industry which is commonly found in Lampung Province. This agricultural waste has the potential to become a reducing agent in manganese leaching because it contains carbon in the form of cellulose and sugar. The optimization of the leaching conditions has been investigated with the parameters of H2SO4 concentration, temperature, and pulp density. The highest manganese leaching recovery was obtained under the following optimized conditions: 1 M H2SO4 concentration, 14 g sugarcane bagasse/20 g MnO2, 50 g/L pulp density, 80 °C leaching temperature, 200 rpm stirring rate, and 4 hours of reaction time. The present process therefore deals with achieving the effective recovery of value-added products from low-grade manganese ore using agriculture waste as reducing agent.
PREDICTION OF HAJJ PILGRIMS' HEALTH RISK USING K-NN, DECISION TREE, CROSS VALIDATION, AND SMOTE Astuti, Widi; Sarasati, Fajar
Jurnal Techno Nusa Mandiri Vol. 22 No. 1 (2025): Techno Nusa Mandiri : Journal of Computing and Information Technology Period o
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/techno.v22i1.6367

Abstract

The background of this study is predicting the health risk levels of hajj pilgrims, which is a significant challenge in improving healthcare services during the pilgrimage. This research contributes by systematically evaluating several machine learning techniques and applying SMOTE to balance the dataset, as opposed to previous studies that relied on single-model classification approaches. The data analyzed includes 5,000 health records of pilgrims, covering various attributes such as age, gender, medical history, and disease diagnosis, sourced from the Siskohat database of the Directorate General of Hajj and Umrah Management. The results show that Cross-Validation (Logistic Regression) achieved the highest accuracy (87.9%) after applying SMOTE, outperforming Decision Tree (86.4%) and K-NN (83.1%). These findings highlight that SMOTE significantly enhances recall, ensuring better identification of high-risk patients. The implications of these results contribute to hajj health management by providing a robust predictive framework that improves early risk detection and medical resource allocation, while also demonstrating a novel approach to handling imbalanced healthcare datasets.
Pengaruh kalsinasi terhadap karakteristik mesoporous nanosilica (MSN) dari sludge geothermal dan performanya dalam sistem drug loading kurkumin Angelia, Annasthasya Milleni; Ramadhany, Putri; Kristijarti, Anastasia Prima; Astuti, Widi; Petrus, Himawan Tri Bayu Murti; Wanta, Kevin Cleary
Jurnal Rekayasa Proses Vol 19 No 2 (2025): Volume 19, Number 2, 2025
Publisher : Jurnal Rekayasa Proses

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/jrekpros.20154

Abstract

This study was conducted to study the effect of calcination on the characteristics of mesoporous nanosilica (MSN) from sludge geothermal waste and its performance in drug loading curcumin. The preparation of MSN was carried out using the sol-gel method using polyvinylpyrrolidone (PVP) surfactant. The removal of surfactants from MSN was processed using the calcination method, where the muffle furnace was adjusted at a temperature of 600oC for 7 hours. The formed MSN samples were then characterized using XRF, XRD, FTIR, and BET instruments. Meanwhile, the adsorption capacity of MSN to curcumin before and after calcination was measured using a 600 ppm curcumin solution. This drug loading process lasted for 6 hours at room temperature. The study's results showed that MSN's composition and crystallinity structure did not change significantly due to the calcination process. However, the functional groups of MSN changed after calcination. The pore size of MSN after calcination also decreased from 4.31 (before calcination) to 4.02 nm. This change in MSN characteristics also affects the performance of curcumin drug loading. This can be seen based on the efficiency of curcumin adsorption, where calcined MSN can adsorb curcumin by 32.92%, while for uncalcined MSN, the adsorption efficiency is 25.64%. Based on the results of this study, the calcination process has a positive effect on the drug loading ability of MSNs.
Analisis Sentimen pada Steam Review Menggunakan Multinomial Naïve Bayes dan Seleksi Fitur Gini Index Text Haditira, Ragil; Murdiansyah, Danang Triantoro; Astuti, Widi
KOMPUTEK Vol. 8 No. 2 (2024): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v8i2.2981

Abstract

Video game is one of the entertainment medias chosen by most people today, many of which are played through computer devices. On computer devices, many video games are obtained through one of the game distribution platforms, namely Steam. However, Steam has several shortcomings, including those related to Steam reviews. On Steam reviews, you can see the rating of the game, but the rating does not really show the actual quality or condition of the game. As one example, there are users who give a high rating to a game, but in the comments column the user actually mentions the shortcomings of the game. To reduce or anticipate unclear reviews for users who want to try or buy the game, sentiment analysis on reviews is used. In this research, the output produced is information on the results of sentiment classification in filtering reviews, using the Multinomial Naïve Bayes algorithm and combined with the Gini Index feature selection. Sentiment classification is divided into two classes, namely recommended and not recommended classes. In this study, to test the sentiment classification system, a dataset containing reviews in the form of review sentences from Steam is used. The test results using Multinomial Naïve Bayes and Gini Index, can achieve the best accuracy of 60.29%.
Work Discipline and Job Satisfaction as the Influencing Factors that Increase the Employee's Performance Astuti, Widi; Nagatirta, Partama; Luwiha, Luwiha; Purwandoko, Edi; Andriyaningsih, Ayu
Journal of Economic, Religious, and Entrepreneurship (JoERE) Vol. 1 No. 1 (2023): JOERE June 2023
Publisher : LPPM STIAB Jinarakkhita Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60046/joere.v1i1.22

Abstract

This study aims to determine the effect of work discipline and job satisfaction on employee performance. Severe and essential element in a company to manage employees is not so easy because every employee has different characteristics and other factors to improve their performance. Likewise, PT Putra Bali also expects an increase in employee performance to achieve optimal company goals. This study used a quantitative descriptive method; the population was 130 permanent employees at PT Putra Bali in the city of Bandar Lampung. The technique for sampling in this study used a saturated sampling technique. This study processed the data using the SPSS version 25 application to obtain significant results. The results of multiple regression testing show that the variables of Work Discipline and Job Satisfaction positively affect Employee Performance based on the results of the regression equation and with the value of R Square. Based on statistical data, the indicators in this study are valid, and the variables are reliable. Hypothesis testing using the t-test shows that the variables of Work Discipline and Job Satisfaction are proven to affect the Employee Performance variable significantly. Then through the F test, it can be seen that the variables of Work Discipline and Job Satisfaction simultaneously influence employee performance variables with the result that the calculated F value is greater than the F table.
TikTok's Social Media Marketing Gives Strong Impact on Product Sales Increase Julianti1, Mega; Mudjiarto, Hari; Nagatitha, Partama; Luwiha, Luwiha; Astuti, Widi
Journal of Economic, Religious, and Entrepreneurship (JoERE) Vol. 1 No. 1 (2023): JOERE June 2023
Publisher : LPPM STIAB Jinarakkhita Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60046/joere.v1i1.24

Abstract

Marketing is the most essential part of a business. Marketing does not only look at unique products, low and attractive prices, and product availability for consumers. In the current era, one marketing activity is utilizing social media such as TikTok. In 2020 the use of TikTok reached 625 million. In Indonesia, TikTok users reached approximately 30 million users. On the platform, there is a link feature to e-commerce sites on user profiles; therefore, TikTok is a free service with exciting content as a promotional medium in sales. This research aims to find out marketing activities on TikTok media in increasing sales. This study used primary data by distributing questionnaires to online sellers to obtain data from sellers who use the media, with a sample of 35 respondents. The analysis used Simple Regression to test the influence on variables to provide recommendations that TikTok media is very influential in attracting consumers.
The Influence of Online Purchases by Dormitory Residents on Dormitory Management Putri, Adelia Mahayani; Bahri, Bahri; Astuti, Widi
Journal of Economic, Religious, and Entrepreneurship (JoERE) Vol. 3 No. 1 (2025): JOERE June 2025
Publisher : LPPM STIAB Jinarakkhita Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60046/joere.v3i1.203

Abstract

This study aims to analyse the influence of online purchases by dormitory residents on dormitory management. A descriptive correlational quantitative approach was applied with 75 dormitory residents selected through purposive sampling. The research instrument included a questionnaire, with online purchase indicators including frequency, type, and resident satisfaction, while dormitory management indicators included operational efficiency, logistics management, and service quality. The research findings show that online purchasing has a significant impact on dormitory management, with a regression coefficient of 0.881 indicating a positive relationship between the variables. In addition, the R Square value of 0.495 indicates that 49.5% of the variability in dormitory management is explained by online purchasing activities, while the remaining 50.5% is influenced by other factors. Online purchasing makes it easier for residents to fulfil their daily needs without having to leave the residence hall, but it also presents challenges for management in terms of logistics, transaction security, and resident satisfaction with the quality of the product or service. This study highlights the importance of integrating digital technology and adaptive management systems to support residents' needs. In conclusion, online purchasing has a positive impact on the operational efficiency and quality of dormitory management. The findings provide guidance for dormitory managers to improve services and  overcome  challenges  in  managing  online  purchasing activities.
Co-Authors -, Dwiniasih Abdul Hakim Abdul Rachman Abimanyu, Arsenio Jusuf Achmad Roesyadi Adelia, Dila Adiatama, Aufa Rai Adil Jamali, Adil Aditya Firman Ihsan Adiwijaya Adriyaningsih, Ayu Adythia, Dicky Marsa Agung Ari Wibowo Agus Haerudin, Agus Agus Prasetya Ahmad Hidayat Ahmad Tawfiequrrahman Yuliansyah Aisyah Aisyah Aji, Sulistyo Ajrina, Arij Al Imais, Syafin Alexandra, Natasya Viona Alifiah Azzahra Amelia Fitri Amien, Iqmal Lendra Faisal Aminuyati Anastasia Prima Kristijarti Anastasia Prima Kristijarti Andriani, Amelia Andriyana, Alma Andriyaningsih, Ayu Angelia, Annasthasya Milleni Ani Azzara Ani Diana Anugrah, M. Taufik Apriliansyah, Udin Aprimal Aprimal, Aprimal Apriyanti, Eny Aprolita Aprolita Ardana, Grandis Belva Ardianto, Hendri Arham, La Ode Ari Hasan Ansori Arif Budianto Cuaca Arismansyah, Arismansyah Arsyad Lubis, Arsyad Astrilia Damayanti Athif, Rona Najma Ati, Meganing Atiqoh, Atiqoh Atitah, Siti Aulia, Aviva Ayu, Fera Diah Azany, Ghaefira Tasya Azhar Azhar Azwar Manaf Bahfie, Fathan Bahri bahri Bahri, Elsha Pamida Bayu Kurniawan Birawidha, David C Bratakusuma, Danu Bratakusuma, Danu Budiman, Dwi Aji Cahyani, F. Lia Dwi Canceryta, Sherly Carolyn Lukita Catur Rini Widyastuti Catur Rini Widyastuti, Catur Rini Chafidz, Achmad Charneidy, Muhammad Avryzal Chusnul Khotimah Cut Meurah Hadiah Dailatus Syamsiyah, Dailatus Dais Maesadillah Danang Triantoro Murdiansyah Daulay, Amru Daulay, Putri Jesukma Debi, Jeri Dedi Kundana Devei, Astri Devi, Fatma Putrinta Dewi Agustina Iryani, Dewi Agustina Dewi, Jilda Sofiana Dhidik Prastiyanto Dhoni Hartanto Diah Ayu Wulandari, Diah Ayu Diah Susanti Dian A, Shallomita Diwangkara, Naufal Kresna Djoko Widodo Donny Lesmana Dryandi, Rayyan Akmal Dwi Aryani, Dwi Dwi Fitriyani Dwi Handayani, Anggelita Dwi Puspa, Cindy Dwi Wiji Lestari, Dwi Wiji Dwifebri, Mahendra Dzati Utomo Eko Pramono Eko Wahyuni Elmi, Bellah Asa O'Neal Elroy A.W, Mada Endang Susilowati Erik Prasetyo Fachry Abda El Rahman Fadilla, Rahma Nur Fahrurozi, Mohammad Fajar Nurjaman Fajriani, Sisca Nur Farah Yuliani Fathurahman, Dennis Fazila, Dian Fa’adilla A, Nashwa Ferian Anggara Firasari, Elly Firmansyah, Fariq Hammam Fissilmi, Siti Rahiel Fitri, Zulfa Ajrina Fitriani, Fira Zulfa Fuadi, Fuja Simahara Gata, Windu Gemilar, Gelar Panji Gyan Prameswara H. Sihabudin Hadi Rohyana Hadikawuryan, Danang Subarkah Haditira, Ragil Hafid Zul Hakim Hafidhah, Shiddiqoh Haidilia Maharani Hamid, Delvani Putri Faradilla Handini, Tri Hanif Ardhiansyah Harahap, T.R. Fitrah At-Taqwa Hardiantika, Widya Harianingsih, Harianingsih Haris Budiana Harry Supriadi Harta Haryadi, Harta Hendrik Setiawan, Hendrik Heny Kusumayanti Herdwiyanti, Menik Himatul Khoeroh Himawan Tri Bayu Murti Petrus Himawan Tri Bayu Murti Petrus I Nyoman Sueca Icha Lestari Ida Zuniarti, Ida Ignatius Hapsoro Wirandoko Ika Amalia, Ika Ika Fitri Apriani Ilham Jaya Imam Prasetyo Iman Supriyatna, Yayat Indah Nurul Izzati, Indah Nurul Indra Perdana Indri Rahayu Indriyani, Niko Indriyati, Rose Iqlima Fristy Wahrolis Iramadhani, Dwi Irma Nur Amalia Isna Muhammad Fathoni Isnaini Istihanah Nurul Eskani, Istihanah Nurul Ivan Hanafi Jannah, Reni Ainun Januarika, Satria Jayawarsa, A.A. Ketut Jefry, January Joni Setiawan Julianti1, Mega Julistia, Rini Jumadilla, Julia Karlimah Karlimah Karyono, Hari Kasman Kasman Kemas Muslim Lhaksmana Kevin Cleary Wanta Khairunnisa Khalisa Okky Khoeroh, Himatul Khoiroh, Ianatul Khoirul Anwar Khudzaifah Dimyati Komang Sutawan Kristian, Lian Kurniawansyah, Firman Kusniawati, Mega Ayu Kusuma, Candra Laela, Euis Laili Etika Rahmawati Lanjar, Lanjar Leksmono, Nabil Hanif Lestari, Liana Lestari, Yovita Endah Lia Mazia, Lia Lola Wahyuni Lubis, Jihan Asfani LUWIHA LUWIHA M. Taufik Anugrah Maftukhaturrizqiyah, Maftukhaturrizqiyah Maharani, Bintari Kartika Maharani, Safira Mahdali, Yahya Mahendra Dwifebri Purbolaksono Mardiono Mardiono Marjunus, Roniyus Martini Martini Maryam Maryam Maspupah, Maspupah Masyfufah, Lilis Maszura, Leni Maulida Zakia Maya Lestari Meliyana Mellyana Br. Sembiring Moch. Setyadji Mudjiarto, Hari Mufakhir, Fika Rofiek Mufakhir, Fika Rofieq Muhammad Amin Muhammad Farhan Muhammad Ilyas Mujiono Mujiono Mukaromah, Siti Kholisoh Mullah, Ikram Muna, Zurratul Munizar Munizar, Munizar Musni, Riza Mustika, Pra Cipta Buana Wahyu Mutimatun Niami Nagatirta, Partama Nagatitha, Partama Nainggolan, Nurul Istiqomah Nasution, Yogi Tri Putra Natalia, Priskila Nazwa, Siti Halimatu Negoro, Gusti Maulana Neneng Anisa Rahmawati Ni Made Yuliani Nihayatus Sholichah Ningtyas, Fitri Ayu Ningtyas, Mega Nirmala, Evatias Nizar, Fariz Noer Rahmi Ardiarini, Noer Rahmi Nova Susilowati, Nova Novita, Cahya Nugraha, Mohamad Rizki Nugraheny, Alvi Nur Nugroho, Tatag Adi Nulhakim, Lukman Nur Afni Safarina Nur Afni Safarina, Nur Afni Nur Nalindra Putra, Nur Nalindra Nurmalasari Nurmalasari Nurrahman, Ahmad Rickyansyah Nurul Afni Sinaga Nurwafi Oktari Nurwijayanti Nuzuluddin, Taufiq Rizza Pambudi, Puguh pamungkas, Nanda dwi Panut Mulyono PERMADI, SIGIT Pinania, Kherani Hana Pinem, Joshua Piscaloka, Viora Rianda Poernomo, Venny Pradnya, Irene Nindita Prakosa, Agus Pramesti, Amadea Vaskallya Prasetyo, Johan Hendri Pribadi, Maylina Surya Wirawati Prima Astuti Handayani Pujiama, Riwonan Purwana, Yulian Candra PURWANDOKO, EDI Puteri, Nurhidayah Putra, Agik Dwika Putra, Ferdian Ahya Al Putra, Ilham Satria Raditya Putra, Muhammad Rizky Fahrizal Putri Puspitasari Putri, Adelia Mahayani Putri, Alika Setia Putri, Bunga Ludmila Rendrar Putri, Dini Fitria Putri, Jesika Puzi, Asmarani Ahmad R.TD Wisnu Broto Rachmad Djamaludin Radenrara Dewi Artanti Putri Radenrara Dewi Artanti Putri, Radenrara Dewi Artanti rahayu, Intan dwi Rahmadani Rahmadani Rahman, Muhammad Miftahur Rahmia Dewi, Rahmia Ramadhany, Putri Ratna Dewi Kusumaningtyas Ratna Frida Susanti Rauf, Aulia Lestari Resti, Indah Ana Retno Wulandari Ria Saputri, Ria Ria Wulansarie, Ria Riayanti, Fatma Indah Rifda Hayati Rini Julistia Rio Zumaranto Riyadi, Delfimelinda Nurul Riza Mazidu Sholihin Rizkiyanto, Muhamad Dafa Rofiek Mufakhir, Fika Rohyana, Hadi Romdhoni, Mohamad Rosmiati, Meiti Rozana, Monna RR. Ella Evrita Hestiandari RTD. Wisnu Broto Rusmawati, Cikal Pustiprayata Rusydina Sabila Sabarman, Harsojo safarina, Nurafni Safitri, Isnaini Safriana Safrianti Samiaji, Danang Rusdawidra Saputra, Vito Ardino Saputro, Muhammad Andi Saragih, Rasianna Br. Saragih, Ratih Monalisa Sarasati, Fajar Sarkadi Sasmito, Adi Sentot Purboseno Sephiani, Regina Septian, Rendi Septriana, Ayu Setiawan, Tio Setiyawati, Depi shinta virdhian, shinta Siagian, Franky Michael Hamonangan Silviana, Yasinta Simanungkalit, Ivanna Crecentia Narulita Sipahutar, Wahyu Solafide Siregar, Togu Nadia Sisprihattono, Boyke Siti Nurul Aisyiyah Jenie, Siti Nurul Aisyiyah Sitorus, Velin Novalina Situmorang, Monatalia Lamtama Slamet Sumardi, Slamet Soehartono Soehartono Soesaptri Oediyani Sofi, Achmad Sofiana Dewi, Jilda Sri Arfiah Sri Subekti Sujoto, Vincent Sutresno Hadi Sukestiyarno Sukestiyarno Sukmawati Sukmawati Suprihatin Suprihatin Suprihatin Supriyadi, Harry Supriyatna, Yayat Iman Suryanaga, Chandra Edward Suryanaga, Edward Chandra Susanto Susanto SUSANTO SUSANTO Sutha, Diah Wijayanti Sutijan Sutijan sutiyono sutiyono Sutopo, Ulung Suyanti Suyanti Syahputra, Muhammad Fadillah Syahridha, Putri Ulfah Syaifuddin Zuhdi Syamsumin Syamsumin, Syamsumin Taharuddin Taharuddin Tamara Devi, Sri Tampubolon, Aron Pangihutan Christian Tangkas, I Wayan Christ Widhi Herman Taridi, Taridi Taufik Hidayat Tejo Ismoyo, Tejo Tri Haryono Tri Suyatno Triastuti Sulistyaningsih Trinanda, Syifa Khaerunisa Ubay, Isnina Noor Udin, Ruis Ummi Chasanah, Ummi Utama, Andhika Putera Utomo, Dimas Bagus Galih Wahyu Spotyawan, Candra Wahyu Widiastuti, Wahyu Warmita, Helena Karunia Wedyowibowo, RHJ Widhi Maharani Widhi Mahatmanti Widiyanto Widiyanto Widyawati Widyawati Wijaya, Anggit Wijaya, Ardyanto Wijayanti, Reni Titis Wilantapoera, Alex Wira Wiratni Wiratni, Wiratni Wulansari, Durroti Zuhriah Yakub Nasucha Yanuarika, Satria Yara Andita Anastasya Yuda, Aulia Pertiwi Tri Yulia Nanda Safitri Yuliana Sari Yuliana, Yuliyana Yunanto Yuni Kusumastuti, Yuni Yuniati, Mutia Dewi Yusup Hendronursito, Yusup Zhafira, Ryanne Zulaechah, Luluk Siti Zurnali, Cut