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Riyanto Riyanto

Universitas Medan Area

Author-ID : 362170

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering 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 Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

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Computational Analysis of Electrical Impedance Spectroscopy for Margin Tissue Detection in Laparoscopic Liver Resection Sulistia, Sulistia; Riyanto, Riyanto; Busono, Pratondo; Kurniawan, Affandi Faisal; Saefan, Joko; Kurniawan, Wawan; Baidillah, Marlin Ramadhan
Jurnal Elektronika dan Telekomunikasi Vol 24, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/jet.630

Margin tissue detection during intraoperative laparoscopic liver resection (LLR) is required to prevent tumor recurrence and reduce the likelihood of further surgery. This study proposes an electrical impedance spectroscopy (EIS) method for margin tissue detection in LLR to determine the boundary interface of normal and cancerous tissue. The proposed method of this study has three objectives: (1) designing the electrode array configuration to collect multiple EIS impedance measurements, (2) implementing the Feedforward Neural Network (FNN) to classify the orientation of margin tissue relative to the electrode array by using time-difference impedance indexes, and (4) governing the inflection point method based on impedance indexes to detect the margin tissue location. The proposed method is evaluated by a 3D numerical simulation of liver tissue composed of cancerous lumps with Iac = 1 mA alternating injection current at frequencies: lf = 1 kHz and hf = 100 kHz. The electrode array is composed of 16 electrode pairs each for injection current and voltage measurements. The variation of margin tissue orientation relative to the electrode array direction was considered to occur in unidirectional, perpendicular, and diagonal direction with noise variations (Signal-to-Noise-Ratio: 50 to 90 dB). The FNN trained on 2,400 data points achieves True Positive Rate (TPR) value as 90.2%, 99.4%, and 96.6% for diagonal, perpendicular, and unidirectional respectively in margin tissue orientation classification, while the inflection point method detects margin tissue location with 75% location at the unidirectional orientation (y-axis).

Effects of Young Coconut Water Consumption on Blood Pressure in Menopausal Women with Hypertension: A Non-randomized Controlled Trial Study Permatasari, Suci; Riyanto, Riyanto
Journal of International Multidisciplinary Research Vol. 2 No. 6 (2024): Juni 2024
Publisher : PT. Banjarese Pacific Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62504/jimr801

Hypertension is a non-communicable disease that is a global problem in both developed and developing countries and is the cause of stroke as the second death and third disability. Efforts are needed to reduce and control the prevalence of hypertension by utilizing nonpharmacological therapies, such as consuming young coconut water consumption. Therefore, this study aims to evaluate the effect of young coconut water consumption on reducing high blood pressure in menopausal women. A nonrandomized controlled trial study with a pretest-posttest control group design was chosen as the design of this study, which was conducted at the Community Health Center of Pekalongan, East Lampung Regency. A consecutive sampling technique was used to select eligible participants among menopausal women diagnosed with mild and moderate hypertension by medical personnel, totalling 16 treatment groups and 16 control groups. The treatment group was given the intervention of consuming young coconut water 300 ml morning and evening for seven days and taking standard hypertension medication. Meanwhile, the control group took standard hypertension medication. Participants had their blood pressure checked using an aneroid tensimeter before and after treatment. Data were analysed using a paired t-test with a confidence level (α) of 0.05 to prove the treatment effect on blood pressure reduction. The results found that the treatment of drinking young coconut water affected reducing systole blood pressure (p-value 0.016) and diastole (p-value 0.007). The average decrease in systolic and diastolic blood pressure pre and post-treatment was 11.25 mmHg and 9.87 mmHg after participants were controlled by taking standard hypertension medications. Drinking young coconut water can be used as a companion option for hypertension treatment by the community.

Application of the Vector Machine Support Method in Twitter Social Media Sentiment Analysis Regarding the Covid-19 Vaccine Issue in Indonesia Riyanto, Riyanto; Azis, Abdul
Journal of Applied Data Sciences Vol 2, No 3: SEPTEMBER 2021
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v2i3.40

According to the Indonesian government, Indonesia has been afflicted by Covid-19 since March 2, 2020. Numerous countries, including Indonesia, have made efforts, but with the spread of perceptions, rumors, and a flood of information into the society regarding vaccines, there are both advantages and disadvantages to vaccines. government-led immunization campaigns. As a result, it is vital to examine public sentiment toward the government's immunization programs. The goal of this study is to ascertain the emotion toward the Covid-19 vaccination in Indonesia based on the classification results. The Support Vector Machine classification technique was employed in this investigation (SVM). The SVM classification method was chosen because it possesses the ability to generalize when it comes to identifying a pattern, excluding the data used in the method's learning phase. Classification with an SVM linear kernel and TF-IDF weighting, as well as data sharing via K-fold cross validation with a value of k=10. Positive and negative classifications are made. Following preprocessing and classification, we determined the f1 values, accuracy, precision, and recall to use as reference values when evaluating the classification. SVM performed well in classifying the data in this investigation, with f1 = 88.7%, accuracy = 84.4%, precision = 86.2%, and recall = 97%. This value is acceptable, and hence SVM is suitable for identifying sentiment data about the Covid-19 vaccine in Indonesia. Additional study can be conducted with richer tweet data, more thorough preprocessing, and comparison to other classification algorithms to obtain a higher categorization evaluation score.

Training Autonomous Vehicles in Carla model using Augmented Random Search Algorithm Riyanto, Riyanto; Azis, Abdul; Tarwoto, Tarwoto; Deng, Wei Li
Journal of Applied Data Sciences Vol 2, No 2: MAY 2021
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v2i2.29

CARLA is an open source simulator for autonomous driving research. CARLA has been developed from scratch to support the development, training and validation of autonomous driving systems. In addition to open source code and protocols, CARLA provides open digital assets (urban layouts, buildings, vehicles) that are created for this purpose and can be used freely. We use CARLA to study the performance of Augmented Random Search (ARS) to autonomous driving: a classic modular pipeline, an end-to-end model trained via imitation learning, and an end-to-end model trained via reinforcement learning. Test the ability of the Augmented Random Search (ARS) algorithm to train driverless cars on data collected from the front cameras per car. In this study, a framework that can be used to train driverless car policy using ARS in Carla will be built. Although effective policies were not achieved after the first round of training, many insights on how to improve these outcomes in the future have been obtained.

Pembuatan Digital Marketing sebagai Upaya Peningkatan Promosi Penjualan Produk Furniture Drum Bujana Tangerang winanti, Winanti; Basuki, Sucipto; Supiana, Nana; Riyanto, Riyanto; Wiyono, Nuri; Sukriyah, Sukriyah; Jainuri, Jainuri
Jurnal Pengabdian Masyarakat Progresif Humanis Brainstorming Vol 7, No 1 (2024): Jurnal Abdimas PHB : Jurnal Pengabdian Masyarakat Progresif Humanis Brainstormin
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/japhb.v7i1.6019

Salah satu kampung tematik di Kabupaten Tangerang binaan Universitas Insan Pembangunan Indonesia adalah Drum Bujana. Selama ini produk furniture yang dihasilkan oleh kampung tematik Drum Bujana belum dipasarkan secara digital. Promosi masih dilakukan secara konvensional dan mengikuti kegiatan/even yang diselenggarakan Pemda Kab. Tangerang. Promosi masih sangat terbatas sehingga masih banyak masyarakat yang belum mengenal furniture Drum Bujana. Tujuan dibuatnya aplikasi digital untuk membantu penggiat di wilayah tersebut untuk mempromosikan produk furniture dengan jangkauan yang lebih luas berbasis digital. Dengan sistem digital marketing diharapkan pengetahuan dan pemahaman masyarakat mengenai sistem pemasaran secara digital meningkat, yang diikuti dengan peningkatan penjualan produk furniture akibat banyaknya masyarakat yang telah mengenal produk tersebut dan pada akhirnya ekonomi menjadi tumbuh di kampung tematik Drum Bujana dampak dari tingkat penjualan yang meningkat tersebut. Sistem digital marketing dibuat dengan dua konsep berbasis online/website dan sistem berbasis mobile. Selain itu untuk mendukung digital marketing juga dilakukan melalui media social Instagram dan Tik Tok mengingat kedua media tersebut memiliki pengikut yang sangat banyak.

Sosialisasi Transformasi Digital bagi UMKM sebagai Bagian Penguatan Fondasi Ekonomi Masyarakat Kabupaten Tangerang Basuki, Sucipto; Winanti, Winanti; Supiana, Nana; Riyanto, Riyanto; Sukriyah, Sukriyah; Fayzhall, Miyv; Goestjahjanti, Francisca Sestri; Lestari, Sri; Maesaroh, Siti; Wiyono, Nuri; Jainuri, Jainuri; Fernando, Erick
Dharma Sevanam : Jurnal Pengabdian Masyarakat Vol 3 No 1 (2024): Juny 2024
Publisher : IAHN Gde Pudja Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53977/sjpkm.v3i1.1375

Activities to socialize digital transformation of Micro small and Medium Enterprises in Tangerang Regency were carried out online and were attended by 497 participants with various backgrounds. There were three speakers and were guided directly by a moderator. Explained the problems and obstacles in implementing digitalization for micro small and medium enterprises, and the importance of digital transformation. This community service seminar was also filled with material about breaking down household waste into gold and beauty by the second resource person. The activity went well and was interactive between participants and resource persons. It is hoped that in the future similar activities can be carried out directly and continuously so that they can maximize the progress of Micro small and Medium Enterprises in Tangerang Regency

Sosialisasi Pemanfaatan Lahan Kosong Untuk Tanaman Cepat Panen Guna Mendukung Ketahanan Pangan Masyarakat Taman Raya Rajeg Tangerang Riyanto, Riyanto; Basuki, Sucipto; Winanti, Winanti; Nurasiah, Nurasiah; Himmy’azz, Istajib Kulla; Chidir, Gusli; Agistiawati, Eva; Kamar, Karnawi; Maesaroh, Siti; Sukriyah, Sukriyah; Suroso, Suroso; Hulu, Paulinus; Hutagalung, Dhaniel; Fernando, Erick
Dharma Sevanam : Jurnal Pengabdian Masyarakat Vol 3 No 1 (2024): Juny 2024
Publisher : IAHN Gde Pudja Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53977/sjpkm.v3i1.1446

Public awareness of utilizing the narrow land in the Taman Raya Rajeg housing complex is still relatively low. Not all people understand the use of land for food crops. The activity was carried out one day and was attended by 54 participants, the majority of whom were housewives. Education on understanding food security for the community starting from the household is the focus of education this time. The resource person also talked about food security by planting fast-harvesting crops. Community interaction was very good from PKM activities and discussions went well. The activity ended with the handover of 84 fast-harvesting plants such as chilies, tomatoes and eggplants to activity participants and symbolic tree planting.

Perancangan Aplikasi Bimbingan Karir Berbasis Website Job Journey Untuk Membantu Peserta Didik Merencanakan Karir Awali, Uston; Subarkah, Pungkas; Riyanto, Riyanto
Digital Transformation Technology Vol. 4 No. 1 (2024): Periode Maret 2024
Publisher : Information Technology and Science(ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/digitech.v4i1.3898

Penelitian ini bertujuan untuk merancang fitur-fitur baru pada aplikasi bimbingan karir berbasis website, Job Journey, yang belum ada pada aplikasi bimbingan karir sebelumnya. Aplikasi ini diharapkan membantu siswa SMA dalam merencanakan karir mereka dengan lebih baik. Metode penelitian yang digunakan adalah model waterfall, yang meliputi tahapan analisis, desain, implementasi, pengujian, dan pemeliharaan. Fitur-fitur baru yang dikembangkan meliputi layanan konsultasi, mentoring, webinar, kelas online, informasi lowongan kerja, dan tes psikologi. Pengujian sistem dilakukan dengan metode Blackbox Testing untuk memastikan validitas dan kinerja sistem. Hasil pengujian menunjukkan bahwa fitur-fitur aplikasi berfungsi dengan baik sesuai dengan harapan. Aplikasi Job Journey berhasil memfasilitasi siswa dalam merencanakan karir mereka melalui interaksi langsung dengan profesional, memberikan wawasan dan nasihat dari para ahli, serta meningkatkan kesiapan mereka untuk memasuki dunia kerja. Selain itu, aplikasi ini memudahkan administrator dalam mengelola data pengguna, pembayaran, artikel, serta memantau perkembangan siswa dalam menggunakan layanan aplikasi. Kesimpulannya, Aplikasi Job Journey efektif dalam memenuhi kebutuhan perencanaan karir siswa dan memudahkan pengelolaan serta pemantauan layanan oleh administrator

The Roles of BANKZISKA In Reducing Ribawi Practices in Society Fery Setiawan; Riyanto, Riyanto
Al-Mashrafiyah (Jurnal Ekonomi, Keuangan dan Perbankan Syariah) Vol 7 No 2 (2023): Oktober 2023
Publisher : Universitas Islam Negeri Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/al-mashrafiyah.v7i2.40726

This study explores the roles of a productive entity owned by the Muhammadiyah agency for Amil, Zakat and Infaq services (LAZISMU) that is addressed with BANKZISKA. While it stands for financial assistance based on funds retrieved from Zakat, Infaq and Shodaqoh and other social, religious funds, it is a non-bank financing agency that aims to solve ribawi issues that are massively practised by Society. The purpose of this study is to analyze the strategies and activities of BankZiska to decrease the amount of Society ribawi practices. Taking place in the BankZiska branch in Magetan, East Java, this study uses a qualitative method with a descriptive approach. The data utilized is primary data obtained from informants and other sources. The findings show that BankZiska deploys the Qardhul Hasan system as the core of their activities, which focus on concessional lending without interest, Sharia economics literacy as well as entrepreneurship and other in-depth knowledge of the religion.

Kemampuan Mendesain Media Pembelajaran Menggunakan Software Aplikasi Visual Basic Macro dengan Model Kooperatif Jigsaw Berbasis Weblog Wardani, Theodora Indriati; Purwosetiyono, FX Didik; Riyanto, Riyanto
Media Penelitian Pendidikan : Jurnal Penelitian dalam Bidang Pendidikan dan Pengajaran Vol 18, No 1 (2024)
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/mpp.v18i1.19240

Digital simulation courses consist of theory and practice must master theory first before they practice. Theory obtained by students from lectures equipped with webblog-based books / diktats about learning media design. In the visual basic macro software application there are instructions in designing learning media. So, to design learning media using visual basic macro software applications, students must be able to understand visual basic macro software applications. By understanding the procedure for designing learning media, it is hoped that students can practice designing learning media using visual basic macro software applications to produce something whose printout is in the form of text and images. The problem being studied is which learning model is more effective between the cooperative model of the Jigsaw model and the conventional model. The problem being studied is which learning model is more effective between the cooperative model of the Jigsaw model and the conventional model. To solve this problem, experimental research was carried out at PGRI Semarang University, especially students majoring in S1 Information Technology Education, Faculty of PMIPATI semester 6 who were taking the Digital Simulation course. They have 1 class, each class averages 15 students. For the target of this study were taken 15 people, so their number was 30 people. In this study there are 2 types of data, namely: (1) Jigsaw cooperative model group data on the ability to design learning media using visual basic macro software applications with grouping treatment, and (2) conventional model group data without grouping treatment on the ability to design learning media using Visual Basic Macro software applications. Data from the Jigsaw model cooperative group as well as conventional models on the ability to design learning media using visual basic macro software applications were obtained with tasks. The data were statistically calculated with a t-test to determine the effectiveness comparison between the Jigsaw cooperative model group and the conventional model. The data were statistically calculated with a t-test to determine the effectiveness comparison between the Jigsaw cooperative model group and the conventional model. The results of this t test show that the Jigsaw cooperative model using grouping shows that the ability to design learning media using visual basic macro software applications is more effective than conventional models without using grouping treatment.

Co-Authors ., winanti A Admiral A. Dardiri Hasyim Abd. Rasyid Syamsuri Abdillah, Muhammad Mukhlis Abdul Azis Abdul Karim Abdur Rahim, Abdur Achmad Wahidy, Achmad Adam Prayogo Kuncoro Ade saputra Adi Adi Adi Sari, Inayah Adi Adiyanto Adiyanto Affandi Faisal Kurniawan Afiandi, Ravi Agistiawati, Eva Agung Pramudito, Anselmus Agus Pramono Agus Slamet Agus Sutanto Aisyah Nurhalizah Ajeng Enggar Wijayanti Aji Lukman Ibrahim Akhmad Fauzi Akhmad, Jazuli Al Fath Alfarisy, Fakhrudin Alfiani, Selvi Alfiansah, Diaz Ali Maksum Alip Sugianto, Alip Aliza Anggraini, Nur Almawachida, Amelia Rista Alvian Demaz Peramutya Amalia, Rika Sri Aman, Mustar Amelia, Rahma Aminin, Sudirman Amrina Octaviana amungkas, Panca Deni P Andini, Windy Tri Andre Putra, Pamungkas Andre Putra, Pamungkas Anggun Fitrian Isnawati Anita Munawwaroh, Anita Anni Alvionita Simanjuntak Anwar, Muhammad Zainul Aprilia, Dona Aprini, Nisma Ardhi, Maharani Nusara Ardina, Mona Ardiyansah, Boby Ari Wibowo, Tony Arief Barkah, Arief Aries Suharso Arifin, As’ad Syamsul Arintra, Herlambang Syafian Ario Fitrianto, Ario Arman Paramansyah Arrasyid, Rakhmatan Lil Alamin Arundina, Asyifa Arya Hadi Dharmawan Aryan Eka Prastya Nugraha, Aryan Eka Prastya As Salam, M Ridha Ashar, Irda Novrida Asmara, Adi Asrel Aswadi Jaya, Aswadi Aulia, Neila Najmi Austriana, Ida Awali, Uston Azahara, Ritza Azhar Andika Putra Azizah Amin, Azizah Azzami, Muhyiddin Fathan Baidillah, Marlin Ramadhan Baihaqi, Muhammad Hafidz Bambang Waluyo Banurea, Aisyah Basaip, Umar Basuki, Sucipto Beniharmoni Harefa Berliana, Eva Bowo, Eko Ari Budijanto Budijanto, Budijanto Chandra, Muhammad Fiqih Rizqi Chatarina Wariyah Chidir, Gusli Chyrinne, Ervana Cris Kuntadi Cristine, Ervana Cristyano, Cristyano Crystine, Ervana Damai, Trian Darmin Darmin, Darmin Darmo, Cahyo Pambudi Daryino, Daryino Dayani, Tiara Rica Dedi Junaedi, Dedi Dedy Wahyu Hernanda, Dedy Wahyu Delrefi D, Delrefi D Deng, Wei Li Deni Pamungkas, Panca Dessy Wardiah, Dessy Devi, Helena Dewi, Fitria Melinia Dhanar Intan Surya Saputra Dhelcia Bayumi, Karina Diah Aryulina Diah Zakiah Dian Utami, Dian Didi Suryadi Didik Purwosetiyono, FX Dina Fitria Murad Dwi Krisbiantoro, Dwi Dwi Kurniawati, Dwi Dwi Prastiyo Hadi, Dwi Prastiyo dwi, Dwi Prastiyo Hadi Dwiprasetyo, Krisna Mukti Dyah Apriliani Dzaky, Muhammad E. Harso Kardhinata Edy, Irwan Christanto Efendi, Doki Effendi, Darwin Effiati Juliana Hasibuan Efriyenti, Dian Eka Stia Murni, Dewi Eko Risdianto Elfara Rahmadhika Suwarno Ellen Lumisar Panggabean Elvira Destiansari Erick Fernando B311087192 Ervana, Ervana Etty Pratiwi, Etty Etty Safriyani Evendi, Aman Fadilla, Nadiya Irmasakti Fadli Firmansyah, Dzaky Fahrezi, Galih Fajriah, Nurul Fajrin, Mega M. Fakhruddin Al Farisy Falega, Arnosa Tri Faozun, Irfan Faris, Ahmad Kamal Nur Farooque, Sm Fathurochman, Irwan Fatimah, Syahda Lailatul Fauziah, Nindi Fayzhall, Miyv Faza, Ahmad Febriyanti, Putri Ferdayanti, Marlia Ferdinand Susilo Fernanda, Rosma Ayu Fery Setiawan Fianty, Melissa Indah Finaty Ahsanah, Finaty Fitri April Yanti, Fitri April Fuad, Ulvia Fatkurin Fuardi , Marzul Gilang Pratama, Satrio Ginting, Dian Vera Br Goestjahjanti, Francisca Goestjahjanti, Francisca Sestri Golar Golar Gozali, Edy Hafizd, Abyan Rasyad Abdul Hamzari Hamzari Handar Subhandi Bakhtiar Handayani Ujianti, Mutiara Handayani, Eka Juwita Handoko, Teguh Imam Hani Triana Hardjono Sastrohamidjojo Hariati Hariati Haritsah, Azra Al Harjoko, Harjoko hartanto hartanto Hartati, Ria Haryanti, Setyani Sri Haryanto, Yon Hasanah, Fauziah Hasna, Shofwatun Hastuti, Novika Wahyu Hayatun Nufus Hellik Hermawan Helmy, Helina Hendra Marcos, Hendra Hendrawati, Luki Amar Herawati, Vitri Dyah Herbawani, Chahya Kharin Heri Prabowo Herlina , Herlina Herliyani, Selvi Hermawati, Lusi Heru Setiawan Hetilaniar, Hetilaniar Hidayati Hidayati Hidayatin, Titin Hikmawati, Kitri Hilda Novyana Holidi Holidi Hulu, Paulinus Husnaniyah, Dedeh Husnul Khatimah Hutabarat, Vitrilina Hutagalung, Dhaniel Ida Jubaedah Ika Kartika Iko, Iko Inayah Adi Sari Indah Rakhmawati Afrida Indradewa, Rhian INDRASARI, NELLY INDRAWATI, SRI WAHYU Indriasari, B. A. Indriati Wardani, Theodora Indriati, Ria Innayatullah, Fatiah Irfan Anshori, Rizki Irfan Santiko Irwan Noor Irwan Triadi Is Fatimah Isang Gonarsyah ISLAMIYATI Isnaini, Sri Wahyuni Istajib Kulla Himmy’azz Istighfaara, Nadiya Iswahyudi, Hendri Iza, Nikmatul Izzatul Amalina Ja'far, Amin JAINURI, JAINURI Jamilah, Vita Jannah, Putri Rakhmatul Jatnika, Yuda Jayak Pratama, Kharisma Jerli Marsanda, Liviana Jofari, Hendrawan Achmad Johan, Muhammad Joko Saefan Jon Piter Sinaga, Jon Piter Joni Iskandar, Joni Juaidah Agustina, Juaidah Juita, Krisna Jumaryatno, Pinus Jumiran, Jumiran Junaidi, Yendri Juningtyastuti Juningtyastuti Kadarusman, Adang Kamim Tohari Kamsari, Kamsari Karnawi Kamar, Karnawi Karnoto . Karunia, Bibit Cahya Kasenta, Andre Meiditama Kasmur, Roslinawati Kenanga Purbasary, Eleni Khairunnisa Khairunnisa Khalifah, Nur Khalifah, Siti Khoirun Nisa Kholif, Dedi Koy, Maria Natalia Krishantoro, Wahyu Krisna, Fachri M. Kristina Wijayanti Kulla Himmy'azz, Istajib Kumoro, Dwi Ferdi Cahya Kumoro, Dwi Ferdiyatmoko Cahya Kun Lestari, Kun Kusuma, Bagus Adhi Larsen Barasa Latipatinupus, Latipatinupus Lebuso, Mapitso Lely Indah Mindarti, Lely Indah Lesmanasari, Aprivianda Endah Lestari Eko Wahyudi Lestari, Gangsar Indah Lestari, Tri Endah Widi Lia Nur Aini Lina, Rosulinawati M Nasir M. Ihsan Dacholfany M. Rizki Yudha Prawira M. Soleh Ma'mun, Sholeh Macariola, Juli Simon Maharani, Herlina Makmudi, Makmudi Manullang, Widya PS. Maragustam Siregar, Maragustam Mardiyah, Hanik Shofa Marzuki Noor, Marzuki Masithoh Kharisma Masliana, Indah Maulana, Ikbal Maulida, Farah Mei Maya Rahayu, Maya Meilinasari Nurhasanah Hutagaol Meilinda Meilinda Melia Eka Daryati Mia Fitria MISTIANAH, MISTIANAH Mochammad Imron Awalludin Moh Ali, Moh Mubarok, Robby Anzilni Muchammad Ismail Mufti Sudibyo, Mufti Muhamad Fauzi Muhammad Fathur Ro'uf Muhammad Luthfi Muhammad Muhammad Muhammad Mustaqim Muhammad Ridwan Muhammad Riski, Muhammad Muhammad Salman Muhammad Yamin Siregar Mujahidah, Rd. Gita Mujiono Mujiono Mulyani, Roza Murhan, Al Murniawati, Indri Murtono Murtono Muslim, Zainal Mustaqim, Ismail Nada Syifa Nurulhuda Naeli Khusnul Maria Nafisah, Nana Najhan, Muhammad Amiruddin Najibullah, Nabilla Al-Zahira Nala Utami, Nabila Nana Mulyana Nandang Hermanto Nasution, Jamilah Natanael Suranta Nazip, Khiron Nico Harared Ningrum, Indah Rohmah Wahyu Ningrum, Izza Eka Ningsih, Erna Ninin Non Ayu Salmah, Ninin Non Ayu Nita, Wahyu Dian Nok izatul yazidah, Nok izatul Noor Fitri Novita Dewi Kristanti, Novita Dewi Novita, Lily Nugraha, Aryan Eka Prasetya Nugrahadi, Robi Numala Hindun, Numala NUR LINA SAFITRI Nur ‘Azah Nurafifah, Siti Nuraisyah Nuraisyah Nurasiah ., Nurasiah Nurasiah Nurasiah Nurazizah, Adila Nuri, Wiyono NURIL HIDAYATI Nurlaili Nurlaili Nuzuli Armariena, Dian Okta Cahyaningrum, Alya Oktabrianto, Oktabrianto Oktarina, Thina Oktavia, Bela Oktaviani, Ika Olin, Maria Novita Padilah, Fatur Padilah, Padilah Paryadi Paryadi, Paryadi Prabowo, Ridho Kunto Pranajaya, Pranajaya Prasetya, Imam Pratama Zurmauliriansyah, Rifzki Pratondo Busono Prayogo Kuncoro, Adam Priangga, Melaya Primandani Arsi Primarnie , Amie Prismar, Prismar Proboningtias, Diah Pungkas Subarkah Purba, Mariana Purbasary, Eleni Kenanga Purnama, Chanra Purno, Marhaendro Purwaningrum, Dwi Purwosetiyono, F X Didik Purwosetiyono, FX Didik Puspita , Yenny Puspita, Yenny Putra, Surya Adi Putri Arini, Diana Rachmawati, Diana Widhi Radita, Fatrilia Rasyi Rafif Sani Raharjo Raharjo Rahayu Rahayu Rahmadani, Pusparani Rahmat Saleh Rahmawan, Wira Rahmi Susanti Rahmiati Rahmiati Ramadhan, Andi Idhil Reka Umi Latifah Reni Reni, Reni Resnayati, Yeti Retno Intan Kuswari Reza Maulana Riandini, Dini Riasmini, Ni Made Ridwan, Mat Ridwan, Muhammad Fauzi Rifaldi, Martan Budi Rifa’i, Khoirul Arif Rika Sabri Rina Firliana Ristiana, Muhammad Ghiyats Riyanti, Eska Riyanto, Gilang Fadhil Rizfie, Muhammad Dala Rizki Gumelar Rizki Ramadhina, Nofa Rizqiyanto, Veri Rochmansyaha, Rizal ROHANA ROHANA Rohayati, Zaina rois, fatqu Romadhonsyah, Fitra Rony Febryarto, Rony Rosliana Lubis Roslina Roslina, Roslina Rosyidin, Ali Rozikin, Mohammad Rua, Jumardin Rusdi Rusdi Saepulloh, Maman Saidah Yusrie, Chaira Saidah Yusrie, Chaira H Saidah, Chaira Saipul Sihotang SAISA, SAISA Salistia, Faisal Salmid, Amid Samsul Bahri Sandria, Danan Perri Santoso, Raliandana Louise Saputra, Ivandi Rizqi Saputra, Nisvu Nanda Saputri, Febryka Wulan Sari, Ayu Indah Sari, Lusiana Sari, Octarina Mayang Sari, Yustina Lita SARIYANTO, IWAN Sartini Sartini Sarwono Sarwono Sasono, Ipang Septiana, Resma Septiani Fahestin, Tennia Septiani, Sella Serli, Serli Sestri Goestjahjanti, Francisca Setiawan, Ito Setiawan, Johan Setiawan, Sariman Budi Setyani Wahyu Prasetyawati, Aries Setyaningsih, Gustin Sevia Umi Wardini Sholeh, Muh Ibnu Sihotang, Hotua Silaswati, Shinta Silitonga, Nelson Silitongga, Nelson Simanjuntak, Marudut Bernadtua Siska Wardani, Tatiana Siswahyudianto Siti Maesaroh Siti Mariah, Siti Siti Masriah, Siti siti rodiah Slamet Sutrisno Sofia, Meta Sri Lestari Sri Mulyati Srihartini, Yusi Stepanus Sigit Pranoto Stevanny, Vannesa Subrata, Jaka Suci Permatasari Sucipto Sucipto Sudarma, Sudarma Sudarman Sudarman Sudarmi Sudarmi Sudiyono, Rachma Nadhila Sugiyana, Laely Ufiz Tsani Suhartono, Bambang Suhud, Muhammad Kharis Sukarman , Sukarman Sukistini, Anastasia Sri Sukri, Sukriyah Sukriyah, Sukriyah Sulaimah, Umi SULISTIA, SULISTIA Sulistiyani, Tya Sumali, Bambang Sumalyani, Aisyah Sumarni, Rantiningsih Sumini Sumini, Sumini Sunarto Sunarto Sunuyeko , Nurcholis Supardi Supardi Supiana, Nana Supriadi, Ujang Supriyanto . Suroso Suroso Suryadi Suryadi Suryatdi, Didik Susantini, Susantini Susila, Linda Nur Sutarmo Sutarmo, Sutarmo Sutejo Sutejo Sutrisno, Sutrisno Suwardjono Suwardjono, Suwardjono Suwarno Suwarno Syahyuri Syahyuri Syamsiar, Syamsiar Syamsul Arifin Tahilia, Yohanes Laba Tambunan, Vini Novalia Tampubolon, Desi Putri Tantri Widyarti Utami, Tantri Widyarti Tarwoto, Tarwoto Tatang Shabur Julianto, Tatang Shabur Tea, Rukman Teguh Handoyo, Teguh Tiara, Beby Tresnawati, Dwi Tri Bowo Hersandy Febrianto Tri Cahyadi Trigunarso, Sri Indra Trio Ageng Prayitno, Trio Ageng Triono, M. Triyandana , Arga Tulus Mampetua Lumban Gaol Udani, Giri Ulvia Fatkurin Fuad Umiyati, Hesti Ummah, Roisatul Utami, Tantri Utami, Tresiana Sari Diah Victorynie, Irnie Virna Amalia Nur Permata Vito, Yulius Kristoforus Wachidi Wachidi, Wachidi Wahyono Wahyono Wahyono, Muhammad Rudi Wahyudi, Udi Wahyuhastuti, Novika Wardani, Nurariana Ayu Wardani, Theodora Indriati Wardini, Sevia Umi Wardono Wardono Wawan Kurniawan Wembrayarli, Wembrayarli Wenny Nugrahati Carsita Wibowo, Titis Ari Widiyanti, Septi Widiyono, Widiyono Widyastuti, Setyo Dwi Wiharti, Wiharti Wijayanti, Yoga Tri WIJAYANTO WIJAYANTO Wijayanto, Wahid Hadi WINANTI, WINANTI Winarno Winarno Windiramadhan, Alvian Pristy Wisudarini, Shanty Witasari, Rinesti Wiyono, Nuri Wulandari, Septiani Dwi Yafid Effendi yanto, Adi Yanto, Murni Yaya Suryana, Yaya Yenny Anwar Yulan Yulan Yulia, Yayah Yulianti, Rica Yunani Sri Astuti, Yunani Sri Yunani, Yuyun Yuneli Wikundhari, Yuneli Yuni Astuti Yuniarti, Angger Styo Yunis Sulistyorini, Yunis Yunitasari Yunitasari, Yunitasari Yusanti, Indah Anggraini Yusmedi Nurfaizal Yusuf Yusuf Zhafirah, Anisah Zulfikar, Nouval Annan Zuliawati, Zuliawati Zumida, Alvina Chaerunniza

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