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VILLAGE GOVERNMENT STRATEGY THROUGH DIGITAL EDUCATION TO INCREASE INFORMATION TRANSPARENCY AND DIGITALIZATION LITERACY IN FACING THE CHALLENGE OF THE DEMOGRAPHIC BONUS Resty Dwiyanti, Andi Amytia; Syam, Anita; Irmawati, Irmawati; Mashuri, Mashuri; Andania, Ana; Anugrawati, Anugrawati
TRANSEKONOMIKA: AKUNTANSI, BISNIS DAN KEUANGAN Vol. 4 No. 3 (2024): May 2024
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55047/transekonomika.v4i3.666

Abstract

The objective of this study is to inform the government about the significance of digitalization literacy and information transparency. The researcher has selected a title that emphasizes the Village Government Strategy through Digital Education to Enhance Information Transparency and Digitalization Literacy, addressing the challenges posed by the demographic bonus. The aim of this title is to equip human resources at the village level with innovative skills and prepare them for the challenges anticipated by 2045. The researcher has employed a qualitative descriptive research method, incorporating a literature review and various news reports pertinent to the Village Government Strategy through Digital Education to Enhance Information Transparency and Digitalization Literacy in addressing the demographic bonus challenges. The primary objectives of this study include providing transparent information to village communities, streamlining administrative management processes, and promoting a digital mindset and literacy among communities to foster innovation and ensure the sustainability of rural areas.
Investigating Students’ Perception on the Impact of Song Lyrics in Improving Reading Comprehension at SMAN 5 Palu Nabila, Putri; Mashuri, Mashuri; Lebagi, Desrin; Budi, Budi
Journal of English Language and Education Vol 11, No 1 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v11i1.2133

Abstract

This study aims to investigate the perceptions of students at SMAN 5 Palu regarding the impact of using song lyrics to improve English reading comprehension. This study focuses on the role of song lyrics in increasing reading motivation and the challenges faced by students in their use. Although reading comprehension is an essential skill, international assessment results such as PISA show that Indonesian students' reading literacy is still below the global average, causing students to often feel bored and have difficulty understanding conventional texts. This study used a descriptive qualitative design with 25 students from class X Merdeka 1 of SMAN 5 Palu selected through purposive sampling. Data were collected through open questionnaires and semi-structured interviews, then analyzed using Miles and Huberman's interactive model. The results showed that students had positive perceptions of the use of song lyrics. Song lyrics increase learning motivation through a fun and relaxed atmosphere, and help improve vocabulary, contextual meaning comprehension, and grasping main ideas. Challenges found include the use of slang, figurative meanings, fast pronunciation, and distractions for some students. This study concludes that song lyrics are effective authentic material in EFL reading learning.
A Review On The Implementation Of Picture Series In Teaching Writing Skills Agung Wibowo, Rahmat; Darmawan, Darmawan; Kusuma Dewi, Anjar; Mashuri, Mashuri
ELS Journal on Interdisciplinary Studies in Humanities Vol. 9 No. 1 (2026): MARCH
Publisher : Hasanuddin University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34050/els-jish.v9i1.45401

Abstract

This library research reviews recent studies on the use of picture series to improve students’ writing skills in English as a Foreign Language (EFL) classrooms. Writing is often difficult for students because they have trouble finding ideas, organizing sentences, and using correct grammar. Many teachers and researchers have tried different ways to help students write better. One popular technique is using picture series as visual aids. This study collected data from five recent articles published between 2019 and 2024. The reviewed studies used different methods, including experimental research, classroom action research, and qualitative reviews. All studies reported positive results. Students who learned writing through picture series were more motivated, could organize their ideas better, and wrote more creatively. Even students with low English skills improved when teachers used pictures to support their writing. However, some teachers reported challenges, such as preparing good picture materials and managing large classes during picture-based activities. Despite these challenges, the findings strongly suggest that picture series are an effective and engaging tool for teaching writing. They help students become more confident and reduce the fear of writing in English. This research recommends that teachers use picture series more often, especially in EFL contexts, and that future studies explore digital picture tools to make this technique even more practical in modern classrooms.
Analisis Kerentanan Lahan Bantaran Sungai Way Mesuji Dengan Pendekatan Deskriptif Kuantitatif Putra, Muhammad Hakiem Sedo; Mashuri, Mashuri
Jurnal Teknik Sipil Vol 22 No 1 (2026): Jurnal Teknik Sipil
Publisher : Universitas Kristen Maranatha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jts.v22i1.10238

Abstract

This study aims to analyze the vulnerability of riverbank land along the Way Mesuji River using a descriptive quantitative approach. Riverbank land vulnerability is a critical issue related to natural resource management and flood disaster mitigation. The study identifies vulnerability factors, including land use, physical land conditions, and flood risk. Data were collected through field surveys, remote sensing, and spatial analysis using GIS software. The findings indicate that the level of land vulnerability along the riverbanks varies, with some areas showing high vulnerability due to unsustainable human activities and fragile geological conditions. These results provide a valuable foundation for disaster risk mitigation planning and more sustainable environmental management in the Way Mesuji Riverbank area.
Optimizing grouper catch efficiency using AI-controlled light fishing in Pamekasan Sampurno, Bambang; Sukma Adjie, Galih; Mashuri, Mashuri; Rusdiyana, Liza; Suhariyanto, Suhariyanto
Bulletin of Electrical Engineering and Informatics Vol 15, No 2: April 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v15i2.10697

Abstract

Light fishing techniques are widely used to improve marine fish catches by adjusting the spectrum and intensity of light-emitting diodes (LEDs) to attract specific species. Grouper (Epinephelus spp.) are known to respond well to red light, although the optimal light intensity remains unclear. This study proposes a dual system consisting of a pulse-width modulation (PWM)-based red LED brightness controller and an artificial intelligence (AI) fish detection module using the YOLOv4 algorithm. LED brightness was varied at duty cycles of 50, 100, 150, 200, and 250 (1 kHz), producing luminous flux values between 120 and 650 lm. Field experiments conducted at the Pamekasan coast using 10 grouper samples showed that 80% of fish aggregated at a duty cycle of 150 (~420 lm at 1.5 m). ANOVA results (p0.05) indicated significant differences among light intensities, with the highest attraction observed at this level. These findings suggest the existence of an optimal light intensity threshold. Further studies with larger samples and multi-site experiments are required to validate these results and evaluate ecological impacts.
The Role of Code Switching in English Vocabulary Development: A Study of Eleventh Grade Students at SMAN 5 Palu Afila, Lala; Jamiluddin, Jamiluddin; Patmasari, Andi; Mashuri, Mashuri
Journal of English Language and Education Vol 11, No 2 (2026)
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jele.v11i2.2218

Abstract

This study aimed to examine the role of code-switching in the development of English vocabulary among eleventh-grade students at SMAN 5 Palu. This research employed a descriptive quantitative approach. The population of this study consisted of all eleventh-grade students, with a sample of 30 students selected based on their involvement in English learning activities that applied code-switching. The data were collected through a Likert-scale questionnaire. Data analysis was conducted using SPSS, including validity testing, reliability testing, normality testing, and mean score analysis. The results of the validity test indicated that most questionnaire items were valid, while the reliability test showed a Cronbach’s Alpha value of 0.729, indicating that the instrument was reliable. The normality test using the Shapiro–Wilk method showed that the data were normally distributed. The mean score analysis revealed that students had positive perceptions of the use of code-switching in English vocabulary learning, particularly in helping them understand new vocabulary, reduce learning difficulties, and increase their confidence during the learning process. Based on these findings, it can be concluded that code-switching plays a positive role in supporting the English vocabulary development of eleventh-grade students at SMAN 5 Palu.
PHYTOCHEMICAL PROFILING AND ANTIBACTERIAL ACTIVITY OF SUNGKAI (PERONEMA CANESCENS) LEAF EXTRACT AGAINST STAPHYLOCOCCUS AUREUS Muthmainah, Noor; Suhartono, Eko; Perdana Putera, Gusti Muhammad; Marisa, Dona; Mashuri, Mashuri; Hayatie, Lisda; Iskandar, Iskandar; Pradito, Syaifullah Akbar
Dentino: Jurnal Kedokteran Gigi Vol 11, No 1 (2026)
Publisher : FKG ULM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/dentino.v11i1.26090

Abstract

Background: Staphylococcus aureus is an opportunistic Gram-positive bacterium that can colonize the oral cavity and cause various infections such as oral abscesses, stomatitis, and post-dental procedure infections. The increasing problem of antibiotic resistance has encouraged the exploration of medicinal plants as alternative antibacterial agents. Sungkai (Peronema canescens) leaves are traditionally used by the Dayak Meratus community as herbal medicine and are known to contain bioactive compounds with potential antibacterial activity. Purpose: This study aimed to analyse the phytochemical content and antibacterial activity of sungkai leaf extract against Staphylococcus aureus. Methods: This research used a true experimental design with a post-test-only control group design. Methanol extract of sungkai leaves was prepared using the maceration method. Phytochemical analysis included determination of flavonoid, alkaloid, and steroid contents using spectrophotometric and gravimetric methods. Antibacterial activity was tested using the disc diffusion method on Mueller Hinton Agar against S. aureus at concentrations of 25%, 50%, 75%, and 100%. Clindamycin was used as a positive control and sterile distilled water as a negative control. Results: Phytochemical analysis showed that sungkai leaf extract contained flavonoids (85.47 mg/mL QE), steroids (26.797%), and alkaloids (18.436%). The antibacterial test showed inhibition zones that increased with extract concentration, namely 10.19 ± 0.23 mm (25%), 12.89 ± 0.43 mm (50%), 14.80 ± 0.41 mm (75%), and 17.72 ± 0.57 mm (100%). Conclusion Sungkai leaf extract contains several bioactive compounds and demonstrates antibacterial activity against Staphylococcus aureus, indicating its potential as a natural antibacterial agent.Keywords: Antibacterial Activity, Phytochemical Analysis, Staphylococcus aureus, Sungkai Leaf Extract.
Comparing of Car-Bym, Generalized Poisson, and Negative Binomial Models on Tuberculosis Data in Banyumas Districs: Pembandingan Model Car-Bym, Generalized Poisson, dan Binomial Negatif pada Data Tuberkolosis di Kabupaten Banyumas Jajang, Jajang; Pratikno, Budi; Mashuri, Mashuri
Indonesian Journal of Statistics and Applications Vol 5 No 1 (2021)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v5i1p130-140

Abstract

In 2019 the number of people with TB (Tuberculosis) in Banyumas, Central Java, is high (1,910 people have been detected with TB). The number of people infected Tuberculosis (TB) in Banyumas is the count data and it is also the area data. In modeling, the parameter estimation and characteristic of the data need to be considered. Here, we studied comparing Generalized Poisson (GP), negative binomial (NB), and Poisson and CAR.BYM model for TB cases in Banyumas. Here, we use two methods for parameter estimation, maximum likelihood estimation (MLE) and Bayes. The MLE is used for GP and NB models, whereas Bayes is used for Poisson and CAR-BYM. The results showed that Poisson model detected overdispersion where deviance value is 67.38 for 22 degrees of freedom. Therefore, ratio of deviance to degrees of freedom is 3.06 (>1). This indicates that there was overdispersion. The folowing GP, NB, Poisson-Bayes and CAR-BYM are used to modeling TB data in Banyumas and we compare their RMSE. With refer to RMES criteria, we found that CAR-BYM is the best model for modeling TB in Banyumas because its RMSE is smallest.
Modeling Dengue Fever by using Conditional Autoregressive Bessag-York-Mollie: Pemodelan Demam Berdarah dengan Menggunakan Conditional Autoregressive Bessag-York-Mollie Jajang, Jajang; Pratikno, Budi; Mashuri, Mashuri
Indonesian Journal of Statistics and Applications Vol 6 No 1 (2022)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v6i1p101-113

Abstract

Dengue fever is a tropical disease caused by the dengue virus.  The small proportional of this dengue fever disease can develops into a more severe dengue hemorrhagic fever (DHF). This research discussed about the model for disease mapping in Ciamis District.   The purpose of this research is to characterize relative risk and factors correlated with case DHF.  Independent variables used in this research are population density, attitude of region, and the number of health worker. To analysis this data, we used conditional autoregressive Bessag-York-Mollie (CAR-BYM) model.  Based on descriptive statistic, the maximum and minimum DHF cases are Ciamis and Sukamantri, respectively.  Furthermore, basedon model results, we found that the maximum and minimum relative risk are Cijeungjing and Sukamantri, respectively. Furthermore, there were 7 sub districts which relative risk are greater than one and 20 sub districts which relative risk are less than one.  The sub districts which relative risk are greater than one show that DHF cases in these sub districts are greater than expectation.  Based on the CAR-BYM model result showed that Each increase the population density by one unit contributes to the addition of DHF cases by 0.0012 units. Each additional health worker one unit, it will reduce the number of DHF cases by 0.0675 units. Each additional altitude of one unit will reduce the number of dengue cases by 0.0011 units.  Based on relative risk (RR) value of the CAR-BYM model we found that the Cijengjing and Ciamis Districts have darkest color.  The RR values in the two sub-districts are 3,449 and 3,240, respectively. The RR values of the two sub-districts are more than expected values.
Pendekatan Hidrologi Forensik untuk Analisis Penyebab dan Dampak Banjir di Daerah Aliran Sungai (DAS) Way Semangka, Lampung Putra, Muhammad Hakiem Sedo; Mashuri, Mashuri; Ulya, M. Ridho
REKAYASA: Jurnal Ilmiah Fakultas Teknik Universitas Lampung Vol. 29 No. 3 (2025): Desember 2025
Publisher : Jurusan Teknik Sipil Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/rekrjits.v29i3.131

Abstract

Hidrologi forensik merupakan pendekatan ilmiah yang digunakan untuk menyelidiki kejadian hidrologis ekstrem, seperti banjir, dengan memanfaatkan data historis, bukti lapangan, serta pemodelan numerik untuk menentukan penyebab dan dampaknya. Penelitian ini bertujuan untuk mengkaji potensi penerapan pendekatan hidrologi forensik dalam menganalisis banjir yang terjadi pada Januari 2024 di DAS Way Semangka, Lampung. Metode yang digunakan meliputi pengumpulan data curah hujan, debit sungai, serta penggunaan citra satelit dan observasi lapangan pasca-banjir. Hasil menunjukkan bahwa banjir dipicu oleh curah hujan ekstrem (>200 mm/hari) selama dua hari berturut-turut yang diperparah oleh degradasi hutan di daerah tangkapan air. Pemodelan HEC-RAS menunjukkan bahwa luapan air melebihi kapasitas sungai hingga 40%. Pendekatan hidrologi forensik terbukti dapat memberikan informasi penting bagi perencanaan sistem mitigasi dan pengelolaan risiko banjir berbasis bukti.
Co-Authors A.B.U, M. Andriyan Rengga Abdillah, Achlish Abdul Hadi Abdul Kamaruddin Abdul Latif Abdul Rivai Aditiya, Popi Afdal Afdal, Afdal Afila, Lala Afrizal, John Agung Prabowo Agung Wibowo, Rahmat Agus Rubiyanto Agus Sugandha Agus Wayan Yulianto Agussatriana Ahmad Muklason Ainal Mardhiah, Ainal Mardhiah Akbar Eisenring, Moh. Abraham Al Husaini, Muhd Arief Al Husaini, Muhd. Arief Al-Kadafi, Muammar Alfianti Tapala, Alma Ali Alhadar Amidi Amidi, Amidi Amin Pujiati Amin Suyitno Aminah Aminah Aminah Suriaman Amozhita, Kintan Khana Ana Febrianti AD Anarkis, Bunga Tirai Anas Tahir Andania, Ana Andi Amitya Resty Dwiyanti Andi Arham Adam Anggraeni, Rima Anggreni, Afrillia Anintya, Yolanda Astrid Anita Syam Anugrawati, Anugrawati Aranda, Viren Lolita Arief Agoestanto Arief Setiawan Arif Hidayat Ariska, Ariska Arpiani, Made Rani Asferizal, Ferial Ashsubli, M. Assyfa, Nadia Salma Nazwa Astuti, Dwi Putri Puji Astuti, Fira Athira, Dini Ayudia Hardiyani Kiranaratri Azahra, Sarmila Aziz, Ahmad Rijal Baehaqi Bagusta, Deri Baharsyah, Bastomi Ballani, Simran Bambang Sampurno, Bambang Bambang Setiawan Bambang Wahyu Susanto Barnawi, Barnawi Betharina, Nudyan Budi Budi Budi Pratikno, Budi Budiyanto, Muhammad Cahyono, Yohana Chatarina Umbul Wahyuni Chotim, Moch Dani Setiawan Darianto, Darianto Darmawan Darmawan Darmawan, Andri Darminto . Desrin Lebagi Dewi Hastuty Dewi, Anjar Kusuma Dito, Aliffia Putri Djoko Susanto Dona Marisa, Dona Dudung Hidayat Dukhi Safaraz, Muhammad Dwijanto Dwijanto, Dwijanto E. Sulastri Eddy Widiyono Eisenring, Moh. Abraham Akbar Eko Suhartono Eliza, Mutia Emi Pujiastuti Erlindawati, Erlindawati Eskalalita, Eskalalita Eunika, Astrid Fabroyir, Hadziq Fadhilah Zamzam Fadli Fadli Fajariyah, Nurul Inayah Fajria, Nur Fathorroji, Fathorroji Fatmawati, Erna Faturahman, Dadan Taufik Fauzan Azima, Fauzan Azima Fauziah, Nadhilah Febrianti, Helma Fikri, Asyrul Fitri, Farhadia Syawala Fitria Amalia, Fitria Fitriani, Devia Fitriyani, Eka Retna Friansa, Koko Fuad Jaya Miharja Fujiati ., Fujiati FX Hendriyono Gatut Yudoyono Gontjang Prajitno Gustianda, Soma Guswanto, Bambang Hendriya Hafidh, Muhammad Hakim, Muhammad Syaiful Haku, Devitriani AR. Hamdani Basri Hanum, Fauziah Harapandi, Harapandi Hardi Suyitno Hasibuan, Hotmida R. Hastini, Hastini Hendro Nurhadi Hidayat, Alfatah Hijriah, Muqni Aini Hilda Listiawati Husaini, Muhd. Arief Al Husamah Husamah Husna, Hanna Dwi Aprilia Husni Thamrin Ida Ayu Putu Sri Widnyani Iffatin Nur Iin Hindun Indah, Zainatuts Tsaniyah Indraswari, Rarasmaya Indriana Noor Istiqomah Irmawati Irmawati Irwan Setyowidodo, Bagus Jaya Santosa Irwandi Yusuf Iskandar Iskandar Isnaeni, Ari Isnaini Isnaini Rosyida, Isnaini Isti Hidayah Ita Ulfin Iwan Aflanie Iwan Yahya Jajang Jajang Jamiluddin, Jamiluddin Jandriyani, Rina Jerfikanasa Murda, Gung Bagus Johan, Arno Joy Fredi Batti Joy Fredy Batti Jubaedi, Jubaedi Junaidi Junaidi Jurair Patunrangi Kamarrudin, Abd. Kamaruddin, Abd Kamila, Hayatun Nufus Kanserini, Julia Kartini Mansyur Karunia Bakti, Indah Kasful Anwar Khaira, Wanty khairul fuad Khasanah, Diah Laila Khusnul, Khusnul Kiranaratri, Ayudia Hardiayani Klodia, Sindi Konder Manurung Kristina Wijayanti Kurniasih, Laely Kurniati, Tien Kurniawan, Muhammad Rizcky Kusuma Dewi, Anjar Kuswoyo, Indra Labaso, Eko R. Lailatul Qadariyah Laili Dwi Annisa Laili Nur Azizah Lalu Agus Satriawan, Lalu Agus latif Abdul, latif Lia Amelia Lila Yuwana Lilis Handayani Lina, Anis Nata Linda Silvia, Linda Lisda Hayatie, Lisda Listiana Listiana Liza Rusdiyana Lukman Hakim M Gilang Indra Mardika M. Arief Bustomi M. Husni Maricar M. Ridho Ulya M. Said, Mawardin Ma'arif, Syamsul Maf’ulah, Maf’ulah Mahanani, Eli Pri Mahdum, Muhammad Yusuf Maisah Maisah Malinda, Nur Mandalika, Leni Manik, Tetti Novalina Mardhotilah, Jundi Marfungah, Fitri Ferianti Mariani Maulana, Mirza Much Mawardin, Mawardin Mbani , Nurmakfira Mehir, Saefuddaulah Meynaksi, Astrid Miftahul Jannah Miftahurrahmat, Miftahurrahmat Mira Dharma Susilawaty Mochtar Marhum Morian Saspriatnadi Muhajir Muhajir, Muhajir Muhammad Ikbal Muhammad Kasan Muhammad Kharis Muhammad Ngizzul Muttaqin Muhammad Rapita Kun Panuluh Muhammad Zainuri Muhammad Zuhair Zahid, Muhammad Zuhair Muhtadi, Nafsah Mujani, Sahril Mukhtar Latif Mukrim, Mukrim Mulyono Mulyono Museliza, Virna Mutamassikin, Mutamassikin Muthmainah, Noor Muzdhalifah, Suci Firly Mz, Irawan Fahrudin NA, Bustami Nabila, Putri Nadrun, Nadrun Natasya, Puspa Nggufron, Nanang Nirmala Nirmalasari, Fadhilah Ayu Nirwana, Nirwana Nitoviani, Nindy Dwi Nofitasari, Lusi Nona Dince, Maria Noor, Dedy Zulhidayat Novianto, Saihul Nugroho, Ahmad Munif Nugroho, Deni Nur Aini Rakhmawati Nur Annisa, Gita Oktarina Nurdiana Nurdiana Nurjanah Ismail Nurlaili, Rodhotul Evita Nurrohman, Setia Nurrul Helen Nurul Adha, Gita nurul latifah Nurul Mustaqimmah, Nurul Nurwidodo, Nurwidodo Oktaviani, Rinta Oktayani, Dewi Olivia, Zetrin Oriana Paramita Dewi Patmasari, Andi Perdana Putera, Gusti Muhammad Pradito, Syaifullah Akbar Pramadita, Anjar Aditya Prasetiyo, Agustaf Prasetyo, Verly Zuli Pratama, Aditya Bayu Pratama, Danang Adi priyoto, priyoto Purwanti, Eka Rela Pradana Puspita Sari Puspitasari, Nurrisma Putra, Muhammad Hakiem Sedo Putri Tuah Susila, Dewi Putri, Alviana Pratama Putri, Malfa Liya Putriaji Hendikawati Radhiyullah Armi Rahadiantino, Lienggar Rahardjoni, Amri Setiawan Rahman, Hafid Rahmatang Rahman Rahmi, Sulistiowati Nur Ramadhan, Dela Putri Intan Ramadhina, Retno Ramadona, Aulia Realita Realita Resty Dwiyanti, Andi Amytia Rieska, Rieska Rijal, Muhammad Rina Reorita Riski Salim Rismauliani, Fauziah Rita, Ferry Riwibowo, Nola Riza Arifudin Rochmad - rofiqoh rofiqoh Rohmah, Naila Zulfatur Rokhmaniyah Rokhmaniyah, Rokhmaniyah Romdany, Fany Eka Rondhianto Rondhianto Rostianti, Rostianti Rumentah, Endah Rusdi Rusdi Safitri, Laksita Aji Salsabila, Unik Hanifah Santoso, Tanto Budi Saputra, Moh. Firman Amardani Sari, Idcha Rahma Sasmita, Ula Dwi Satria Kamal, Mulky Satria, Erik Sawal, An-nafi Sa’adah, Waqhidatus Scolastika Mariani Sedo Putra, Muhammad Hakiem Septiana, Meli Setiawan Assegaf Setiawan, Muhammad Israf Setiyo Gunawan Setyaningrum, Rosina Retno Setyoningati, Putri Ayu Shaliha, Shaliha Sibaweh, Imam Sigit Widodo Silviana W, Ika Silviani, Siti Aminah Simon Sadok Siregar, Simon Sadok Siti Chalimah Siti Rahmah Nurshiami, Siti Rahmah Sitti Rahma, Sitti Slamet Riyadi Soejoko, Edy Sri Astuti A. Samad Sri Darmadi, Nanang Sri Djuniati Sri Haryati Sri Wahyuni Sriati Usman St. Budi Waluya Suhari Suhariyanto Suhariyanto Suhito Suhito Sukestiyarno Sukestiyarno Sukma Adjie, Galih Sulistiawati, Dinda Sumantri, Lilis Sumarjan Sumarjan, Sumarjan Sunanto Sunanto Supriyanti, Erni Suriana Suriana Suryani, Maylina Dwi Suryani, R. Lisa Susilo Indrawati Susiyati, Susiyati Syahrul Munir Syam, Anita Syamsiar, Syamsiar Syarif, Muhammad Ilham Al Ghiffari Taufik Hidayatullah, Taufik Triyani Triyani Ulpah, Mariya Umaira, Siti Utami, Wahyu Nur Veronica, Rahayu Budhiati Wafi, Abdurrahman Wahyu Hidayat Wahyu Tri Sutrisno Wahyudin Wahyudin Warda, Asa Kuntifatin Wardhani, Erna Pramidya Wicaksono, Dedi Wicaksono, Wahyu Budi Widyawati, Kharisa Wijayanti, Marwah Daud Wiratama, Dadang Yosopranata, Desinta Yuliani, Selvia Yuliansyah, Asri Yusnimar Sahan Yusri, Yusnimar Zaenal Abidin Zaenuri Mastur Zahra, Dela Zahra, Luthfia Zainal Abidin Zakiyah, Yayah