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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Biofisika Jurnal Ilmu Pertanian Indonesia Jurnal Akuakultur Indonesia Jurnal Ilmiah Teknik Industri Biodidaktika : Jurnal Biologi dan Pembelajarannya Jurnal Sistem dan Manajemen Industri JIPF (Jurnal Ilmu Pendidikan Fisika) Jurnal Ilmiah Flash Jurnal Penelitian Pendidikan IPA (JPPIPA) Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal INTECH Teknik Industri Universitas Serang Raya Aquacultura Indonesiana Journal of Aquaculture and Fish Health Jurnal Logistik Indonesia Jurnal Abdi Insani Jurnal Teknik Industri Terintegrasi (JUTIN) Jurnal Mandala Pengabdian Masyarakat JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Journal of Biology Learning Jurnal Sains Indonesia These proceedings represent the work of researchers participating in The International Conference on Elementary Education (ICEE) which is being hosted by the Elementary Education Study Programme School of Postgraduate Studies, Universitas Pendidikan Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian Agrifarm Jurnal Teknologi dan Manajemen Industri Terapan Jurnal Kajian Islam Modern Jurnal Pengabdian Masyarakat Bhinneka Jurnal Penelitian Rumpun Ilmu Teknik Jurnal Publikasi Teknik Informatika (JUPTI) Jurnal Sistem Informasi dan Ilmu Komputer Jurnal Penelitian Teknologi Informasi dan Sains

Ridwan Siskandar

Computer Engineering Study Program, College Of Vocational Studies, IPB University, Bogor, Indonesia

Author-ID : 1206785

Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Veterinary Other

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INTERNET OF THINGS: AUTOMATIC PLANT WATERING SYSTEM USING ANDROID Ridwan Siskandar; Muhammad A Fadhil; Billi Rifa Kusumah; Irmansyah Irmansyah; Irzaman Irzaman
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 9, No 4 (2020): Desember 2020
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v9i4.297-310

Internet of Things (IoT) is a system that connects devices directly or indirectly to the internet. The device can work with remote control. One application of the IoT system on the watering system is able to provide an approach to the ease in the process of growth and development of plants. The research carried out was applied to an IoT-based smart plant watering device. The tool is supported with a soil moisture measuring sensor that acts as a benchmark to determine the condition of soil moisture and automatic control of the process of watering plants. The process of watering plants is scheduled in the morning and evening. Information, as long as the device is run will be displayed on the LCD and screen of an Android-based smartphone application. The data can be a comparison value to determine the suitability of soil moisture data in plants. The volume of water supplied in the watering process also affects the level of soil moisture. IoT-based smart plant sprinklers can automate watering by measuring the percentage of soil moisture as a benchmark for providing water during the watering process. Remote watering control can also be done on this tool by using a WiFi signal to the same access point that is connected to the smartphone client and microcontroller. Keyword: agriculture, automatic sprinklers, engineering, IoT

PENERAPAN REKAYASA MESIN SORTIR SEBAGAI PENENTU KEMATANGAN BUAH JERUK DAN TOMAT MERAH BERBASIS IMAGE PROCESSING Ridwan Siskandar; Noer A Indrawan; Billi Rifa Kusumah; Sesar Husen Santosa; Irmansyah Irmansyah; Irzaman Irzaman
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol 9, No 3 (2020): September 2020
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v9i3.222-236

The embedded systems in the industrial, especially image processing, is increasingly leading to the study of production automation systems such as fruit sorting. Post-harvest sorting system implemented by the industry is manual, so it’s not effective. The solution was to conduct research aimed at modifying post-harvest sorting tools by engineering tomato and orange sorting machines based on their color. The method uses image processing. It’s the most efficient alternative in terms of cost and complexity of hardware design, does not require many sensors, but produces an accurate output. The camera is placed on the mechanical sorting machine system, taking images to determine the sorting execution after the fruit color type are recognized. The results of the research were carried out through several tests, namely: light intensity, color image data, and organoleptics. Light intensity test showed that the position of the tool had a value of 0.78% of the outside light disturbance. Color image shows the range of ripeness values (R/G) for raw tomatoes 0<=1.04; half ripe tomatoes 1.04<=1.39; ripe tomatoes 1.39<=3.59; raw orange 0<=0.92; undercooked oranges 0.92<=0.98; and ripe oranges 0.98<=1.66. Organoleptic test from five observers had the same results as the reading on the fruit sorting tool. Keywords : engineering, fruit maturity, oranges, sorting machines, tomatoes

Science Literacy Ability of Elementary Students Through Nature of Science-based Learning with the Utilization of the Ministry of Education and Culture's "Learning House" Hana Lestari; Wawan Setiawan; Ridwan Siskandar
Jurnal Penelitian Pendidikan IPA Vol. 6 No. 2 (2020): July
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v6i2.410

Students' scientific literacy skills can be developed and enhanced with appropriate learning models and supported by adequate technology. This study aims to determine the improvement of the science literacy skills of elementary students through the Nature of Science learning model by utilizing the "Learning house" feature of the Ministry of Education and Culture. The research method used was a pre-experiment with one group pretest-posttest design. The instrument used was in the form of a science literacy ability test and an observation sheet of learning implementation with the research subjects of 38 students of Cibatok I Elementary School, Bogor, West Java, VA, and VB classes in 2018/2019 school year. The data obtained were analyzed by the Wilcoxon test using SPSS 22 at α (0.05). The results showed that (1) there was an increase in students' scientific literacy skills through the Nature of Science learning model by utilizing the "Learning house" feature of the Ministry of Education and Culture, this was indicated by sig (0,000) <α (0.05); (2) The average scientific literacy ability of students after being given the Nature of Science learning model by utilizing the "Learning house" feature of the Ministry of Education and Culture (3.75) is higher than the average scientific literacy ability of students before being given the Nature of Science learning model by utilizing the Ministry of Education and Culture's "Learning house" feature (2.57). It can be concluded that the Nature of Science learning model by utilizing the " Learning house" feature of the Ministry of Education and Culture can significantly increase the level of students' scientific literacy abilities.

Cultivating Green Behavior of Eco Literation-Based Elementary School Students during the COVID-19 Pandemic Hana Lestari; Ridwan Siskandar
Jurnal Penelitian Pendidikan IPA Vol. 7 No. 1 (2021): January
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v7i1.477

This study aims to describe how to grow the green behavior of elementary school students based on Eco literation during the COVID-19 pandemic. The method used is a literature review with a systematic mapping study technique as a library search. Based on the results of the study, Green behavior that is grown in children based on Eco literation includes 4 components of Eco literation, namely implications, ecological knowledge, knowledge of environmental problems and environmentally responsible behavior. Through these 4 literacy components children can have a concern for health, personal hygiene and care for the environment, the ability to communicate and apply ecological concepts, an understanding of various problems and issues related to the environment that are influenced by aspects of politics, education, economy, and government institutions and active participation which is aimed at solving and solving problems through selected lifestyle activities. During the COVID 19 pandemic, cultivating Eco literation-based green behavior can be provided through online learning by utilizing digital technology through modeling, habituation, and repetition in everyday life such as consuming healthy food, exercising diligently, carrying out health protocols (diligently washing hands with soap and running water, wearing masks and keeping your distance), besides teaching people to limit activities that can harm themselves and the environment, which are packaged attractively and conveyed through various digital media such as blogs, websites, podcasts, and other social media

Implementation of Blended Learning with A STEM Approach to Improve Student Scientific Literacy Skills During The Covid-19 Pandemic Hana Lestari; Ima Rahmawati; Ridwan Siskandar; Hadi Dafenta
Jurnal Penelitian Pendidikan IPA Vol. 7 No. 2 (2021): April
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v7i2.654

The Covid-19 pandemic has a positive impact on the blended learning system, especially the synchronous and asynchronous aspects of online learning. This study aims to obtain information about how to apply the blended learning model with the STEM approach to students' scientific literacy skills during the COVID pandemic. The research method used was pre-experiment with one group pretest-posttest design. This research was conducted at SMAN 1 Bojong Gede, Bogor Regency in the academic year 2020/2021. The research sample used two class X which have been selected as purposive sampling. The instrument used in this study was a student science literacy test containing 20 question items. The data processing technique was carried out descriptively by calculating the mean and percentage of each item to obtain a description of the students' scientific literacy skills, then the data were analyzed inferentially with paired sample t-test using SPSS version 22 software, to see differences in scientific literacy before and after blended learning with the STEM approach. The results showed that in general, the average scientific literacy skills of students from the application of the blended learning model with the STEM approach had an average score of 85.50 in the good category. For students to have a better understanding of scientific literacy, students' understanding of science should be continuously trained through the blended learning model with the STEM approach.

Automated Redox Monitoring System (ARMS): An Instrument for Measuring Dissolved Oxygen Levels Using a Potential Redox Sensor (ORP) in a Prototype of Shrimp Farming Pond with an Internet-Based Monitoring System Ridwan Siskandar; Wiyoto Wiyoto; Andri Hendriana; Julie Ekasari; Billi Rifa Kusumah; Glenaldi Halim; Indi Jaka Nugraha
Journal of Aquaculture and Fish Health Vol. 11 No. 2 (2022): JAFH Vol. 11 No. 2 June 2022
Publisher : Department of Aquaculture

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jafh.v11i2.31487

A data acquisition system for measuring and storing dissolved oxygen levels has been implemented to monitor water quality levels in shrimp culture media using an internet-based potential redox sensor (ORP). The purpose of this study is to apply ARMS, an instrument for monitoring internet-based potential redox data (dissolved oxygen levels) in shrimp culture media in real-time to determine the condition of water quality. This system is designed using an ORP sensor that uses WIFI communication. In principle, when the ORP sensor is placed in the water in the shrimp culture media, the potential redox data will be detected by the sensor connected to the ESP8266 which processes and transmits data which is then displayed and analyzed on the smartphone interface. In this study, 9 units of shrimp culture media prototype ponds were used for observational tests. The object of observation in the pond is water quality data in the form of sediment potential redox values. At this stage of research, two processes of observation of data collection were conducted. The first process is to monitor water quality conditions on the user's smartphone display, in the form of the potential redox value of each pool measured by the ARMS instrument for 12 weeks. The second process is to compare the potential redox observation data measured by the ARMS instrument and the ORP Meter in each pool. Observation of comparative data took place during the 6th week. The sediment potential redox values for treatments 1, 2, and 3 were 69 mV, 151 mV, and 210 mV respectively. The average redox potentials in the water are in the range of 90.56 mV to -263 mV for treatment 1; 90.75 mV to -62,934 mV for treatment 2; 90.65 mV to 60.73 mV for treatment 3. This range is the measurement range from week 0 (shrimp seed stocking) to week 4. The results of the comparison of the two tools show that the accuracy of the ARMS tool is more than 95%.

Raw material planning for tapioca flour production based on fuzzy logic approach: a case study Sesar Husen Santosa; Agung Prayudha Hidayat; Ridwan Siskandar
Jurnal Sistem dan Manajemen Industri Vol. 6 No. 1 (2022)
Publisher : Universitas Serang Raya

The availability of cassava raw materials influences tapioca flour production at small and medium industry's (SMIs) Bogor Regency. Cassava raw material is a crucial factor in producing cassava yields, affecting the amount of tapioca flour production. Planning for cassava raw material must be carried out properly because the quality and quantity of cassava must be maintained to achieve the tapioca flour production target. The results of forecasting the demand for tapioca flour in SMIs using the Multiplicative Decomposition method were 2566 kg with MAD = 173.73 and MAPE = 0.08. Based on the analysis of the effectiveness of the grinding machine, the average value of OEE for one year is 0.32 (32%). Based on the value of demand forecasting results, milling machine OEE and tapioca flour prices, an analysis of cassava raw material needs are carried out using a fuzzy logic approach. The membership set used is Triangular and Trapezoidal Membership Function and Fuzzy Rule Base as many as 81 possibilities. The defuzzification of cassava raw material requirements in SMIs is 17600 kg. Based on the results of defuzzification, the need for raw materials must be increased so that the demand for tapioca flour can be achieved.

Penentuan Jumlah Kebutuhan Bahan Baku Berdasarkan Distribusi Barang Ideal di IKM Tepung Tapioka Kabupaten Bogor Agung Prayudha Hidayat; Sesar Husen Santosa; Ridwan Siskandar
Jurnal INTECH Teknik Industri Universitas Serang Raya Vol. 8 No. 1 (2022): Juni
Publisher : Universitas Serang Raya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30656/intech.v8i1.4400

Ketidakpastian waktu produksi tepung tapioka menjadi penghambat dalam memenuhi permintaan konsumen dikarenakan ketersediaan bahan baku singkong yang tidak memadai. Sistem integrasi dari hulu hingga akhir dengan memperhatikan aktivitas rantai pasok menjadi solusi untuk mengetahui kebutuhan konsumen. Penelitian ini bertujuan untuk mengoptimalkan aspek hulu rantai pasok dengan menentukan kapasitas kebutuhan singkong yang optimal berdasarkan jumlah distribusi tepung tapioka yang ideal sebagai dasar keputusan bagi pihak IKM tepung tapioka di dalam melakukan pemesanan bahan baku singkong dan proses produksi tepung tapioka. Pendekatan yang digunakan dengan pendekatan statistik berupa model persamaan regresi dan pendekatan simulasi dengan metode simulasi monte carlo. Hasil penelitian menunjukkan simulasi jumlah distribusi tepung tapioka yang optimal sebesar 1.581 Kg. Hasil ini di masukkan ke dalam model regresi untuk mendapatkan jumlah kebutuhan singkong yang optimal. Model kebutuhan bahan baku singkong yang optimal (Y) = -818+ 5,36X (1.581 Kg) = 7.656 Kg. Hal ini menjadi dasar pengambilan keputusan bagi pihak IKM tepung tapioka di dalam merencanakan kapasitas kebutuhan singkong serta pengelolaan sumberdaya perusahaan dalam melakukan proses produksi tepung tapioka.

Edukasi Metode Peramalan Harga Jual Sayuran Melalui Pelatihan Penggunaan POM QM For Windows Version 5.0 Pada Pasar Rakyat Kemang Perusahaan Umum Daerah Pasar Tohaga Kabupaten Bogor Derry Dardanella; Agung Prayudha Hidayat; Sesar Husen Santosa; Ridwan Siskandar
Jurnal Mandala Pengabdian Masyarakat Vol. 3 No. 2 (2022): Jurnal Mandala pengabdian Masyarakat
Publisher : Progran Studi Farmasi STIKES Mandala Waluya

Pasar kemang merupakan salah satu pasar stimulus yang dimiliki Perumda Pasar Tohaga Kabupaten Bogor. Pasar kemang saat ini masih dalam tahap peramaian sehingga membutuhkan stimulus untuk menghadirkan konsumen untuk meningkatkan jumlah pembeli. Salah satu faktor yang dapat meningkatkan jumlah pembeli adalah stabilitas dari harga komoditi. Informasi harga komoditi kedepannya diperlukan oleh pihak manajemen untuk mempersiapkan kebutuhan sumberdaya di pasar. Kegiatan pelatihan aplikasi POM QM for Windows version 5.0 di Pasar Rakyat Kemang bertujuan untuk memberikan edukasi terkait penggunaan aplikasi untuk merencanakan harga jual komoditas kedepannya sehingga pihak manajemen pasar dan pedagang dapat bersinergi dalam mempersiapkan kebutuhan sumberdaya terkait dengan harga jual komoditas. Tahapan kegiatan pengabdian ini terdiri dari identifikasi kebutuhan, pelatihan penggunaan aplikasi dan evaluasi kegiatan pelatihan. Berdasarkan hasil pelatihan 10 orang pedagang dan manajemen pasar maka didapatkan peningkatan rata-rata nilai pre-test sebesar 35 menjadi nilai post-test sebesar 77,5. Berdasarkan peningkatan nilai pre-test dan post-test diharapkan aplikasi ini dapat digunakan oleh pihak pasar tohaga didalam meramalkan harga jual komoditas sehingga pengambilan keputusan terkait kebutuhan sumberdaya dapat dikelola dengan optimal.

Kepribadian Narsistik dan Perilaku Hate Comment Pengguna Media Sosial Cantika Nindita; Ranadya Candra Kirana; Mira Nurfitri Fesenrey; Lusy Trianggraini; Ridwan Siskandar; Hana Lestari
JURNAL KAJIAN ISLAM MODERN Vol 9 No 01 (2023): Juni 2023
Publisher : Institut Agama Islam Sahid (INAIS) Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56406/jkim.v9i01.162

Narcissistic personalities are often encountered in social media, where this narcissistic personality does not escape from hate comments. Narcissistic personality itself is a feeling of self-love that is excessive or not in accordance with its normal level of self-love. This condition triggers hate comment behavior in which some individuals feel dislike, disagree with, or envy someone with a narcissistic personality. The purpose of this study was to determine the relation between narcissistic personality and hate comments on social media. The research subjects were 146 people aged 14-25 years who were active in social media. The data collection method used a narcissistic personality scale and hate comment behavior scale which was adapted from previous questionnaires. The scale model is 8 in Likert form with 5 levels. Using correlation and regression data analysis techniques, it was found that 11.3% of the influence of narcissistic personality on hate comment behavior on social media was found. Furthermore, based on the results of a simple regression test, an equation model shows that hate comment behavior on social media can be explained positively by narcissistic personality. Thus, the higher the narcissistic personality, the higher the hate comment behavior.

Co-Authors Abdullah Alwahdi, Muhammad Abrisam Hadi Bintoro Abung Supama Wijaya, Abung Supama Adelia Tri Aprilian Adhi Anugrah Firdaus, Muhammad Adhitya Wibisono Agung Prayudha Hidayat Al-ars, Kaisar Renaisance Alif Diaz Ibramahesa Alif Falah, Naufal Alvin Renaldi, Mohamad Alwahdi, Abdullah Alwahdi, Muhammad Abdullah Amanda Nelvi, Annisa Ananda, Dea Angeli, Jahira Anisa Annisa Amanda Nelvi Annisa Kartinawati Aprilianti, Dhila Ardelia Wirastuti, Merry Ardian Arif Ariya Pratama Adjie Nugroho Arya Rifan, Muhamad Arzi, Jibal Rizki Akbar Asih Asih, Asih Aufaa, Muhamad Ibnu Abi Aulia, Salsabila Setya Ayu Nandita Pangesti, Rizky Azahra, Syafira Dinka Azkal Muhammad Azkiya Balle, Joddy Lintar Barokah, Wuliddah Tamsil Bayu Suriaatmaja Suwanda Benito Ibrahim Delano Billi Rifa Kusumah Cahyo, Arif Dwi Cantika Nindita Daniel Jose Andre Dardanella, Derry Delano, Benito Ibrahim Derry Dardanella Dewi, Ratih Kemala Dhila Aprilianti Diana Putri Rahmani Dicky Abiyaksa Dwi Yulinar Chairunisa Dwi Yulinar Chairunisa Elinah, Elinah Endra Triwisesa Ester Angeline Fakhiratunisa, Nabila Falah, Naufal Alif Fany Apriliani Faqihhudin, Muhammad Raka Fardani, Caesaria Salma Salsabilla Farras Fauzan, Mochamad Fauzan, Mochamad Farras Febri Astuti, Vivien Febri Liswardani Febriyanti, Tria Fedrianingsih, Devi Fiqri Nurfadillah Fitria Devi Fitriani, Mira Gema Parasti Mindara Ghaida Refiana Zahra Glenaldi Halim Hadi Dafenta Hadianto Nur Fadhli Halim, Glenaldin Hana Lestari Hana Lestari Hana Lestari Hana Lestari Hana Lestari hana lestari Handayani, Pipit Harahap, Shiddiq Wicaksono Hardianto, Joko Hawa, Putri Hendriana, Andri Heriyanto Syafutra Heryudianto Vibowo Hidayat, Danke Hikmah Rahma Hikmah Rahmah Husyairi, Khoirul Aziz Ibnu Rasya Ramadhan Ibrahim Delano, Benito Ima Rahmawati Ima Rahmawati Indi Jaka Nugraha Indrawan, Purana Indy Widyanti Irfan Tigranaufal Nugraha Irmansyah Irmansyah Irzaman, Irzaman Jaka Nugraha, Indi Joddy Lintar Balle Julie Ekasari Kaisar Renaisance Al-Ars Khaerunisa Agustina Kharismatunnisaa, Fiona Lesmanawati, Wida Lidya Banila Lidya Banila Lintar Balle, Joddy Lusia Cipto Astuti Lusy Trianggraini Lutfi Yustisyia, Muhammad Luthfi Hizbul Mujib, Muhamad Luthfi Hizbul Mujib, Muhammad M Danang Mukti Darmawan M. Agung Zaim Adzkiya M.Lutfi Yustisyia Mahendra, Tangkas Martin Martin Mashita, Nurul Maulana, Muhammad Shubhi Mayangkara, Mahatmadi Ariq Merry Ardelia Wirastuti Mira Fitria Dewi Mira Nurfitri Fesenrey Mochamad Farras Fauzan Mohamad Alvin Renaldi Monic Hapsari Mufarrohah, Fatihatul Muhamad Arya Rifan Muhamad Rizki Muhammad A Fadhil Muhammad Abdullah Alwahdi Muhammad Amir Shoultan Muhammad Danang Mukti Darmawan Muhammad Habiburrahman, Muhammad Muhammad Jerri Muhammad Shubhi Maulana Muhammad Yasir Anwar Mulya, Muhammad Arif Nabil Bayyinah, Aulia Nabila Fakhiratunisa Nalanaya, Nalanaya Nanda Octavia Nandita Pangesti, Rizky Ayu Naoval Nainggolan, Zacky Naufal Alif Falah Naufal Ridho Setyo Laksono Nelvi, Annisa Amanda Nerol, Ivan De Nisa, Afifah Rodhiyatun Noer A Indrawan Novayanti Magdalena Gultom Nugraha, Ivan Nur Aziezah Nur Aziezah Pratama, Erdiansyah Prayuda Hidayat, Agung Putri, Evlyn Jane Putri, Stevani Qurratu'aini, Qurratu'aini Qurratu’aini Qurratu’aini, Qurratu’aini R Riza Pamungkas S Rachmat, Ramma Dwi Radita Febrianti Rahma Amelia Purnama Rahmah Mulanti Rahmah, Hikmah Rahman, Riem Rahayu Rahmani, Diana Putri Rahmawaty, Vania Ranadya Candra Kirana Rasya, Raihannissa Hatridininar Renaldi, Mohamad Alvin Resti Dwi Anjani Rhaihany Aliefia D R Rifan, Muhamad Arya Rifan, Muhammad Arya Rifqi Nurfadillah Rina Martini Ringga Gilang Baskoro Riyanti, Ade Rizha, Teuku Rizkiriani, Annisa Rizky Rizky, Rizky Ronald Suhada, Vandame Rukyati, Anis Munir Ruspendi, Ruspendi Sabila Rodhia Saeful Anwar Sagala, Siti Haminah Salma Salsabila, Caesaria Salma Salsabilla Fardani, Caesaria salsi kirana sya'bani Santi, Maya Ary Saputra, Yourdan Savanah, Khadijah Meutia Septiyaningsih, Lutfi Sesar Husen Santosa Sesar Husen Santosa Setiawan, Aep Setyono Hari Adi Setyono Hari Adi Sevia Dwi Yanti Shadam Dwi Permana Shiddiq Wicaksono Shiddiq Wicaksono1 Siti Aisyah Siti Zalfa Fadillah Sofyan Alhaq Sri Yusrina Suhada, Vandame Ronald Suriaatmaja Suwanda, Bayu Suwanda, Bayu Suriaatmaja SYAIFUL BAHRI Teuku Rizha Tineke Mandang Tri Wahyudiningsih, Nur Tria Febriayanti Tria Febriyanti Ulin Nuha, Ulin Vandame Ronald Suhada Veithzal Rivai Zainal Wahyudiningsih, Nur Tri Walidatush Sholihah Wawan Hermawan Wawan Setiawan Wicaksono, Shiddiq Wirastuti, Merry Ardelia Wiyoto Wiyoto Wiyoto Wiyoto Wiyoto Wiyoto, Wiyoto WULANDARI Wulandari Wulandari Yoridho, Daffa Damas Yuda Pratama Yustisyia, M. Lutfi Yustisyia, M.Lutfi Yustisyia, Muhamad Arya Rifan Zahran, Fadhil Rizqi Az Zaky Triyoga, Faishal

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