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All Journal International Journal of Power Electronics and Drive Systems (IJPEDS) Jurnal Pendidikan dan Pembelajaran Khatulistiwa (JPPK) SITEKIN: Jurnal Sains, Teknologi dan Industri Sosial Budaya Jurnal Edukasi dan Penelitian Informatika (JEPIN) English Review: Journal of English Education JEA17: Jurnal Ekonomi Akuntansi Madania: Jurnal Ilmu-Ilmu Keislaman Seminar Nasional Teknologi Informasi Komunikasi dan Industri Communications in Science and Technology J I M P - Jurnal Informatika Merdeka Pasuruan Jurnal Nasional Komputasi dan Teknologi Informasi Jurnal Dedikasi Pendidikan Jurnal Sistem Komputer dan Informatika (JSON) Journal of Education Informatic Technology and Science An-Nawa : Jurnal Studi Islam Jurnal Ilmiah Wahana Pendidikan JOLMA Obor: Oikonomia Borneo Indonesian Journal of Community Empowerment Paedagogi: Jurnal Kajian Ilmu Pendidikan (e-journal) Jurnal Riptek Studies in English Language and Education Jurnal Pengabdian Kreativitas Pendidikan Mahakam (JPKPM) All Fields of Science Journal Liaison Academia and Sosiety Journal Liaison Academia and Society Jurnal Sahid Mengabdi Ekasakti Matua Jurnal Manajemen Ekasakti Pareso Jurnal Akuntansi UPMI Proceeding Series Journal Journal Of Humanity Dedication Scientific Journal of Informatics Journal of Global Economic Research MCSIJ (Marine, Coastal and Small Islands Journal) : Jurnal Tugas Akhir Mahasiswa Ilmu Kelautan
Novi Yanti
Universitas Islam Negeri Sultan Syarif Kasim Riau
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Penerapan Struktur Backpropagation Pada Jaringan Syaraf Tiruan Untuk Mendeteksi Gangguan Penyakit Tropis Novi Yanti
Seminar Nasional Teknologi Informasi Komunikasi dan Industri 2018: SNTIKI 10
Publisher : UIN Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (202.182 KB)

Abstract

 Tropical disease is the most common diseases in tropical and subtropical regions. Many factors affected the spread of these diseases, such as poor sanitation and bad environment. Islam establishes the principles in maintaining health through the cleanliness, wudu, and taking bath regularly. Technology through the expert system development tried to transform the expertise knowledge into computers that can mimic the workings of the human brain. One of the methods applied is Artificial Neural Network (ANN) with backpropagation structure. This method detected the tropical diseases of patients, including Dengue Hemorrhagic Fever (DHF) and Typhoid Fever to perform the appropriate treatment as early as possible. ANN diagnosed the type of diseases by identifying the pattern of symptoms in patients. ANN training was presented using 80% of training data and 20% test data. The binary sigmoid activation function [0 1] is used. The learning rate (α) values 0.05, 0.1, 0.2, 0.5, 0.75 and the hidden layers values 10, 50 and 100 are used in testing process. ANN trained the input symptoms, thus the results proposed whether patients affected by any kinds of tropical disease or not. Keywords: DBD, hidden layer, JST, learning rate, Tifoid
Implementasi Metode Learning Vector Quantization (LVQ) Untuk Sentimen Analisis Terhadap Aplikasi Go-Jek Pada Playstore Arif Pratama Budiman; Elvia Budianita; Novi Yanti; Reski Mai Candra
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 5, No 3 (2022): Juni 2022
Publisher : Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v5i3.4287

Abstract

Abstrak— Perkembangan teknologi dan informasi pada saat ini sangat pesat, terutama di Indonesia. Salah satu teknologi yang berkembang pesat di Indonesia saat ini adalah  teknologi dalam bidang transportasi yaitu, transportasi online. Dengan adanya transportasi online ini sangat membantu segala aktifitas masyarakat. Terdapat beberapa platform tranasportasi yang ada di Indonesia, salah satu yang terkenal adalah transportasi online Gojek. Apliikasi Gojek dapat dengan dengan mudah di download pada google plyastore. Playstore adalah sebuah aplikasi yang berguna untuk mengunduh berbagai aplikasi. Playstore juga menyediakan fitur penilaian terhadap aplikasi yang tersedia di platform tersebut, dengan adanya fitur penilaian ini pengguna dapat memberikan penilaiannya dan juga berkomentar terhadap aplikasi yang digunakannya. Dengan adanya fitur komentar ini maka dapat di lakukannya sentimen analisis untuk mengetahui sentimen publik terhadap suatu aplikasi. Dalam penelitian ini langkah awal yang dilakukan adalah mengumpulkan data dan juga memberikan laber terhadap seluruh data, pada penelitian ini terdapat 3 label yaitu positif, netral, dan Negatif dengan jumlah 900 data. Selanjutnya melakukan proses analisa preprocessing dan juga dilanjutkan dengan proses pembobotan TF, kemudian baru dilakukannya proses klasifikasi menggunakan metode Learning Vector Quantization (LVQ). Hasil pengujiannya sendiri dilakukan dengan menggunakan metode Confussion Matrix. Berdasarkan dari proses dan hasil  pengujian yang di lakukan di dapatkan akurasi terbaik pada perbandingan 90 : 10 sebesar 84,44% yang sebagian besar bernilai positif.  Kata Kunci: transportasi online, Sentiment analysis , Playstore, Klasifikasi, Learning Vector Quantization Abstract— The development of technology and information is currently very fast, especially in Indonesia. One technology that is developing rapidly in Indonesia today is technology in the field of transportation, namely online transportation. The existence of online transportation is very helpful for all community activities. There are several transportation platforms in Indonesia, which is well-known online transportation called Gojek. The Gojek application can be easily downloaded on the Google Playstore. Playstore is an application that is useful for downloading various applications. Playstore also provides an assessment feature for applications available on the platform, with this assessment feature users can provide an assessment and also comment on the applications they use. With this comment feature, sentiment analysis can be done to find out public sentiment towards an application. In this study, initial step was taken to collect data and also provide a label for all data, in this study there were 3 labels, namely positive, neutral, and negative with a total of 900 data. Next, perform the preprocessing analysis process and also continue with the TF-IDF weighting process, then the classification process is carried out using the Learning Vector Quantization (LVQ) method. The results of the test itself are carried out using the Confusion Matrix method. Based on the process and the results of the tests , the best accuracy obtained is at ratio of 90 : 10 by 84,44%,which is most of it are positiveKeywords:Online Transportation,sentiment analysis , Playstore, Classification, Learning Vector Quantization 
Sistem Pakar Diagnosa Gangguan Stress Pasca Trauma Menggunakan Metode Certainty Factor Marliana Safitri; Fitri Insani; Novi Yanti; Lola Oktavia
Jurnal Sistem Komputer dan Informatika (JSON) Vol 4, No 4 (2023): Juni 2023
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i4.6309

Abstract

Mental health disorder or commonly called Mental Health Disorder is a disturbing psychological behavior and is followed by traumatic events such as shock shell, war fatigue, accidents, victims of sexual violence, and the covid pandemic. Cases of post traumatic stress disorder data from Indonesian Psychiatric Association amounted to 80% of 182 examiners experiencing symptoms of post-traumatic stress due to exposure to covid, 46% experienced severe symptoms, 33% moderate, 2% mild and others did not show symptom. This study aims to diagnose post traumatic stress disorder using the assurance factor method with 35 symptom data and 3 levels of post traumatic stress disorder as a knowledge base. The certainty factor is a circulation management method and a decision-making strategy using the confidence factor in the system. Based on the research results of the expert system for diagnosing post traumatic stress disorder, the test results obtained an accuracy of 80%. The results of the accuracy of this expert system indicate that the expert system can potentially be used to diagnose post traumatic stress disorder.
Analisa Dini Gangguan Disleksia Anak Sekolah dengan Metode Backpropagation Novi Yanti; Adil Setiawan; Sarjon Defit
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 2 (2023): Volume 9 No 2
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v9i2.64588

Abstract

Disleksia sering disalah artikan sebagai kebodohan atau kemalasan pada anak. Gejala disleksia dikenal dengan gangguan belajar yang meliputi mengenal huruf, mengeja, membaca, dan menulis. Meskipun gejala disleksia tidak terlihat dengan jelas, kondisi ini dapat berdampak pada perkembangan pola belajar anak. Tujuan penelitian adalah untuk mengidentifikasi gejala disleksia sedini mungkin agar tidak mengganggu perkembangan belajar pada anak. Selain itu, penelitian juga bertujuan untuk mengevaluasi keakuratan teknik yang digunakan. Analisa menggunakan metode jaringan syaraf tiruan dengan teknik backpropagation dengan memberikan nilai bobot, sehingga dapat memberikan nilai input dengan benar. Penelitian menggunakan 150 dataset, 40 variabel input dan 40 lapisan tersembunyi. Keluaran yang diharapkan mencakup disleksia atau non-disleksia. Hasil implementasi dan pengujian untuk data latih dan data uji terbaik adalah 90:10. Dengan nilai epoch maksimum 5000 dan nilai error target 0,001. Metode backpropagation dapat memberikan hasil akurasi terbaik 100% pada learning rate 0,5. Sehingga metode backpropagation dapat dengan baik mendeteksi gangguan disleksia pada anak sejak dini.
Implementasi Metode Learning Vector Quantization (LVQ) Untuk Sentimen Analisis Terhadap Aplikasi Go-Jek Pada Playstore Arif Pratama Budiman; Elvia Budianita; Novi Yanti; Reski Mai Candra
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 5, No 3 (2022): Juni 2022
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v5i3.4287

Abstract

Abstrak— Perkembangan teknologi dan informasi pada saat ini sangat pesat, terutama di Indonesia. Salah satu teknologi yang berkembang pesat di Indonesia saat ini adalah  teknologi dalam bidang transportasi yaitu, transportasi online. Dengan adanya transportasi online ini sangat membantu segala aktifitas masyarakat. Terdapat beberapa platform tranasportasi yang ada di Indonesia, salah satu yang terkenal adalah transportasi online Gojek. Apliikasi Gojek dapat dengan dengan mudah di download pada google plyastore. Playstore adalah sebuah aplikasi yang berguna untuk mengunduh berbagai aplikasi. Playstore juga menyediakan fitur penilaian terhadap aplikasi yang tersedia di platform tersebut, dengan adanya fitur penilaian ini pengguna dapat memberikan penilaiannya dan juga berkomentar terhadap aplikasi yang digunakannya. Dengan adanya fitur komentar ini maka dapat di lakukannya sentimen analisis untuk mengetahui sentimen publik terhadap suatu aplikasi. Dalam penelitian ini langkah awal yang dilakukan adalah mengumpulkan data dan juga memberikan laber terhadap seluruh data, pada penelitian ini terdapat 3 label yaitu positif, netral, dan Negatif dengan jumlah 900 data. Selanjutnya melakukan proses analisa preprocessing dan juga dilanjutkan dengan proses pembobotan TF, kemudian baru dilakukannya proses klasifikasi menggunakan metode Learning Vector Quantization (LVQ). Hasil pengujiannya sendiri dilakukan dengan menggunakan metode Confussion Matrix. Berdasarkan dari proses dan hasil  pengujian yang di lakukan di dapatkan akurasi terbaik pada perbandingan 90 : 10 sebesar 84,44% yang sebagian besar bernilai positif.  Kata Kunci: transportasi online, Sentiment analysis , Playstore, Klasifikasi, Learning Vector Quantization Abstract— The development of technology and information is currently very fast, especially in Indonesia. One technology that is developing rapidly in Indonesia today is technology in the field of transportation, namely online transportation. The existence of online transportation is very helpful for all community activities. There are several transportation platforms in Indonesia, which is well-known online transportation called Gojek. The Gojek application can be easily downloaded on the Google Playstore. Playstore is an application that is useful for downloading various applications. Playstore also provides an assessment feature for applications available on the platform, with this assessment feature users can provide an assessment and also comment on the applications they use. With this comment feature, sentiment analysis can be done to find out public sentiment towards an application. In this study, initial step was taken to collect data and also provide a label for all data, in this study there were 3 labels, namely positive, neutral, and negative with a total of 900 data. Next, perform the preprocessing analysis process and also continue with the TF-IDF weighting process, then the classification process is carried out using the Learning Vector Quantization (LVQ) method. The results of the test itself are carried out using the Confusion Matrix method. Based on the process and the results of the tests , the best accuracy obtained is at ratio of 90 : 10 by 84,44%,which is most of it are positiveKeywords:Online Transportation,sentiment analysis , Playstore, Classification, Learning Vector Quantization 
Membangun Kesadaran Kewarganegaraan Yang Aktif Dan Partisipatif Pada Siswa Sekolah Dasar laelly, tazkia aisha; febriyanti, utari; apriliani, firda; yanti, novi; sunaryati, titin
Jurnal Ilmiah Wahana Pendidikan Vol 9 No 23 (2023): Jurnal Ilmiah Wahana Pendidikan
Publisher : Peneliti.net

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5281/zenodo.10423431

Abstract

Civic education is an important aspect in building the character of active and participatory citizens. At the elementary school level, civic education has a crucial role in shaping active civic awareness in students. Citizenship awareness is an understanding and appreciation of the rights, responsibilities and roles of citizens who contribute to building a better society. Students' active participation in civic activities will shape attitudes, values and skills that are essential for their future as responsible members of society. In this study, we analyze civic education in primary schools to understand how civic education builds active and participatory civic awareness in students. The benefits of this research are as a reference for what civic education has an important role in shaping students' attitudes, knowledge, and skills in terms of active and participatory citizenship in shaping a generation that is more involved in community life. The purpose of the study is to analyze civic education in primary schools with a focus on efforts to build active and participatory citizenship awareness in primary school students. The method used in this research is qualitative method, a research approach used to understand and explain human phenomena in their natural context. The result of this research is to build active and participatory citizenship awareness in elementary school students has a very positive long-term effect on individuals and society as a whole. It helps create citizens who are aware of their rights and responsibilities in building a just, democratic and sustainable society.
FINANCIAL PERFORMANCE AND ENVIRONMENTAL PERFORMANCE IN COMPANY DISCLOSURES OF CORPORATE SOCIAL RESPOSIBILITY Yanti, Novi; Yunan, Nadiya
JEA17: Jurnal Ekonomi Akuntansi Vol 9 No 2 (2024): Oktober
Publisher : Universitas 17 Agustus 1945 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30996/jea17.v9i2.12003

Abstract

This study aims to analyze the effect of financial performance and environmental performance on Corporate Social Responsibility (CSR) disclosure. In the era of the industrial revolution 4.0, companies are required to increase productivity through the use of advanced technology, but often ignore social and environmental responsibilities that have an impact on ecosystem damage and social conflict. Based on Law No. 40 of 2007 and Law No. 25 of 2007 in Indonesia, companies are required to carry out social and environmental responsibilities. This study uses a quantitative approach with a sample of mining companies listed on the Indonesia Stock Exchange (IDX) during the 2018-2022 period. The data analysis techniques used are multiple linear regression and moderated regression. The variables analyzed include profitability, leverage, company size, and environmental performance. The results of the study show that leverage and environmental performance have an effect on CSR disclosure, while profitability and company size have no effect. These findings indicate that companies with good financial performance do not always prioritize CSR disclosure, and that good environmental performance is more likely to encourage broader CSR disclosure. This study provides an important contribution to understanding the factors that influence CSR disclosure and how companies can improve their transparency and accountability to stakeholders
Pengaruh leverage, pertumbuhan penjualan dan profitabilitas terhadap harga saham pada perusahaan makanan dan minuman yang terdaftar di bursa efek Indonesia periode 2017-2021 roky_yonatan; Setiawati, Erni; Rohmah, Siti; Yanti, Novi
OBOR: Oikonomia Borneo Vol. 5 No. 2 (2023): Oktober
Publisher : University of Widya Gama Mahakam Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/obor.v5i2.2116

Abstract

Tujuan penelitian ini untuk mengetahui serta menganalisis pengaruh leverage, pertumbuhan penjualan dan profitabilitas secara simultan dan persial perusahaan terhadap harga saham pada makanan dan minuman yang terdaftar di Bursa Efek Indonesia. Metode ini bersifat Kuantitatif. Pengambilan sampel dalam penelitian ini menggunakan Purposive Samplig. Sampel yang digunakan adalah 12 Perusahaan Makanan dan Minuman di Bursa Efek Indonesia Periode 2017-2021. Teknik analisis data yang digunakan adalah analisis linier berganda dengan bantuan program komputer SPSS Ver 26 untuk mengetahui pengaruh dan hubungan masing-masing variabel.Hasil analisis penelitian bahwa secara Parsial Leverage, berpengaruh positif terhadap Harga Saham, Pertumbuhan Penjualan berpengaruh negatif dan tidak signifikan terhadap harga saham, dan Profitabilitas berpengaruh negatif dan tidak signifikan terhadap harga saham perusahaan makanan dan manusia. Secara Simultan Leverage, Distribusi Penjualan dan Profitabilitas berpengaruh positif terhadap Harga Saham.
FAKTOR-FAKTOR YANG MEMPENGARUHI KEPATUHAN WAJIB PAJAK DALAM MEMBAYAR PAJAK BUMI DAN BANGUNAN DENGAN USIA, TINGKAT PENDIDIKAN, DAN PEKERJAAN SEBAGAI VARIABEL KONTROL (Studi Kasus pada Wajib Pajak Orang Pribadi di Kecamatan Malinau Barat Kabupaten Malinau) Ita, Jefita; Martinus Robert H; Devy Putri Milanda; Yanti, Novi
OBOR: Oikonomia Borneo Vol. 5 No. 2 (2023): Oktober
Publisher : University of Widya Gama Mahakam Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/obor.v5i2.2469

Abstract

Tujuan Penelititan ini untuk mengetahui Faktor- faktor yang Mempengaruhi Kepatuhan Wajib Pajak dalam Membayar Pajak Bumi dan Bangunan dengan Usia, Tingkat Pendidikan, Pekerjaan sebagai Variabel Kontrol. Jenis data yang di gunakan dalam penelitian ini adalah data primer dengan mengunakan metode kuantitatif. Data yang di peroleh dalam penelitian ini yaitu dari penyebaran kuesioner kepada responden di Kabupaten Malinau Kecamatan Malinau Barat Provinsi Kalimantan Utara. Penelitian ini menggunakan uji validitas, uji reliabilitas, statistic deskriptif, uji asumsi klasik, serta menggunakan alat analisis satistik dengan bantuan program SPSS 29.0 untuk mengetahui pengaruh masing- masing variabel.Dengan hasil analisis uji secara parsial di ketahui bahwa Kesadaran Wajib Pajak, Pengetahuan Perpajakan dan Sanksi Perpajakan berpengaruh positif signifikan terhadap Kepatuhan Wajib Pajak dalam Membayar Pajak Bumi dan Bangunan. Sedangkan Usia, Tingkat Pendidikan dan Pekerjaan tidak memiliki pengaruh yang signifikan terhadap Kepatuhan Wajib Pajak dalam Membayar Pajak Bumi dan Bangunan. Hasil Pengujian secara simultan menyatakan secara bersama-sama mempunyai pengaruh yang signifikan terhadap Kepatuhan Wajib Pajak dalam Membayar Pajak Bumi dan Bangunan.
PENGARUH FAKTOR FUNDAMENTAL TERHADAP HARGA SAHAM santa, santa ompusunggu; Setiawati, Erni; Yanti, Novi; Milanda, Devy Putri
OBOR: Oikonomia Borneo Vol. 6 No. 1 (2024): April
Publisher : University of Widya Gama Mahakam Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24903/obor.v6i1.2499

Abstract

This study aims to analyze the impact of fundamental factors, namely Earnings Per Share (EPS), Price to Book Value (PBV), Return on Equity (ROE), and Debt to Equity Ratio (DER) on stock prices of companies in the food and beverage sector listed on the Indonesia Stock Exchange during the period of 2019-2022. The research utilizes a quantitative approach with data analysis conducted using SPSS software version 24. The results indicate that EPS and PBV have a positive significant effect on stock prices, suggesting that strong earnings per share performance and a higher market value relative to book value attract investor interest. In contrast, ROE negatively affects stock prices, indicating that poor financial performance or low efficiency in capital utilization reduces investor confidence. Meanwhile, DER has no significant impact on stock prices, as investors are more concerned with how a company utilizes its debt for operations. This study provides valuable insights for investors in making investment decisions based on the fundamental analysis of companies
Co-Authors Afriani, Defi Afrida, Elly Agus Sutarjo Ahmad Atiq Ahmad Fudholi Albis Ya Albi Alinur, Alinur Alwan Alwan Amalia, Intan Rahma Andika Triansyah Apriani, Riza Aprilia Apriliani, Firda Apriwandi Apriwandi . Arif Pratama Budiman Astri Senania, Astri Awaludin Martin Bafadal, M Fachrurrozi Beddu, Muhammad Juni Budi Setiawan Cai Cen, Cia Chitraningrum, Nidya Dalimunte, Nurul Devy Putri Milanda Diah Yudhawati Eka Pandu Cynthia Eka Supriatna Elli Afrida Elvia Budianita Erman Taer Fairuzy, Zeeva Khalilah Farida Ariani Fauziah, Nenden febriyanti, utari Firdaus, Windra Fitri Insani Fitri Insani Fitri Insani fitri, irsadul Fitria, Anif Halawa, Alkisah Ikhlas Hamdani Hamdani Handayani, Niknik Hasbi Hazazi, Rizki Helman Helman, Helman Helmi, Lika Akana Hetty Elfina Hidayat, Ikhwan Mahfud Hura, Periaman Hutauruk, Martinus Robert Huvat, Albuinuslinus Iriansyah, Deril Ita, Jefita Ivo Dwi Ananda Julfina Juliansyah, Muhamad Ednis Julnaidi, Julnaidi Khoirul Anwar Kholilullah, Muhammad Khumairah, Zahra laelly, tazkia aisha Laia, Firman Daris Lodzviana Saputri, Eka Lola Oktavia Mahfud Hidayat, Ikhwan Maliza, Nofia Margaret Stevani Marliana Safitri Martin Kustati Martinus Robert H MAS'ARI, AHMAD Miftahul Ghifrah Sembiring Milanda, Devy Putri Muhammad Affandes Muhammad Irsyad Muhammad Irsyad MUHAMMAD YUSUF Muharram, Rahma Mekar Nadila, Andieni Delia Nadila2 Delia Naima, Shafira Salsa Nasriah Nasriah Nazruddin Safaat H Nurhafifah Nurmaida, Arrita Nursyafni, Nursyafni Nursyaputri, Wan Mery Okfalisa Okfalisa Pambudi, Puguh Pardede, Pantas Pangondian Pizaini Pizaini Putri, Bunga Ludmila Rendrar Putri, Rahma Lia Rahmad Kurniawan Ramadani, Jasmine Aura Rambe, Saima Reflianto, Reflianto Renea Shinta Aminda Reski Mai Candra Rice Haryati Rifa'i, Muhammad Ahsin Rika Taslim roky_yonatan Ruri Hartika Zain Rusdi, Heriandi Salim, Umar Hi santa, santa ompusunggu Saputra, Tommy Sarjon Defit Sauri, Muhammad Sopian Septian, Agil Setiawan, Adil Setiawan, Adil setiawati, erni Shabila, Miranda Sibuea, Nurhalimah Silalahi, Alistraja Dison Siti Rohmah Sriyanto, Darmawan Sulistyarini, Sulistyarini Sumiarti, Imas Suryani Suryani Susiani, Rini Syafarudin, Muhammad Arif Syamsurizal - - Tampubolon, Manner Teja Rinanda Teti Chandrayanti Thomy Sastra Atmaja TITIN SUNARYATI Wandi, Joni Indra Widi Astuti Widiyanti , Indri Yelvi Fitriani Yelvi Fitriani YULIA SYAFITRI Yunan, Nadiya Yunan, Nadya Yuningsih, Isma Aulia Yusra, Yusra