Article Per Year (5 Year)
p-Index From 2020 - 2025
8.548
P-Index
This Author published in this journals
All Journal Farmasains : Jurnal Farmasi dan Ilmu Kesehatan Journal of Food and Pharmaceutical Science Animal Agricultural Journal Pharmaciana: Jurnal Kefarmasian The Indonesian Accounting Review MEDISAINS Jurnal Informatika dan Teknik Elektro Terapan JURNAL PHARMASCIENCE Majalah Obat Tradisional Nutri-Sains: Jurnal Gizi, Pangan dan Aplikasinya JURNAL FARMASI DAN ILMU KEFARMASIAN INDONESIA SMARTICS Journal Jurnal Riset Akuntansi dan Keuangan JRST (Jurnal Riset Sains dan Teknologi) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI Jurnal Inotera Jiko (Jurnal Informatika dan komputer) Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan JURNAL EKONOMI Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ KOMPUTIKA - Jurnal Sistem Komputer Simtek : Jurnal Sistem Informasi dan Teknik Komputer Jurnal Riset Informatika JUTIS : Jurnal Teknik Informatika Jusikom: Jurnal Sistem Informasi Ilmu Komputer Journal of Information Systems and Informatics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JATI (Jurnal Mahasiswa Teknik Informatika) Jurnal Kesehatan Journal of Applied Science, Engineering, Technology, and Education Sport and Nutrition Journal Infotek : Jurnal Informatika dan Teknologi Infotech: Journal of Technology Information SKANIKA: Sistem Komputer dan Teknik Informatika International Journal Of Science, Technology & Management (IJSTM) Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Riset dan Aplikasi Mahasiswa Informatika (JRAMI) Golden Ratio of Marketing and Applied Psychology of Business Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan Jurnal Informatika Teknologi dan Sains (Jinteks) Duta.com : Jurnal Ilmiah Teknologi Informasi dan Komunikasi Pharmaceutical Sciences and Research (PSR) Makara Journal of Science Medika Respati : Jurnal Ilmiah Kesehatan Jurnal Ilmiah MEA (Manajemen, Ekonomi, dan Akuntansi) Mamangan Social Science Journal Hexatech: Jurnal Ilmiah Teknik Proceeding of International Conference Health, Science And Technology (ICOHETECH) Jurnal Pengabdian Kreativitas Pendidikan Mahakam (JPKPM) Adopsi Teknologi dan Sistem Informasi Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Innovative: Journal Of Social Science Research SmartComp Media Farmasi Jurnal Tumbuhan Obat Indonesia Jurnal Kefarmasian Indonesia Indonesian Journal of Jamu
Dwi Hartanti
University of Muhammadiyah Purwokerto
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

Published : 81 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 81 Documents
Search

 4   5   6   7   8 
Implementasi Internet of Things (IoT) Untuk Sistem Pemantauan Kebakaran Dini Dengan Notifikasi Telegram dan Alarm Zaenuar Erfandi; Hartanti, Dwi; Maulindar, Joni
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28248

Abstract

Fire is a serious threat that can cause major losses, both material and non-material. This research aims to develop an Internet of Things (IoT) based fire monitoring system at the Tangen District Office to detect fires early. This system uses smoke, temperature and fire sensors integrated with a NodeMCU microcontroller to process data in real-time. Data from sensors is analyzed to detect signs of fire, and notifications are sent instantly via the Telegram application and accompanied by alarm activation. Tests show that the system has a detection accuracy rate of up to 95% in detecting various types of fire media, such as wood, paper and plastic, with an effective sensor distance of up to 20 cm. This system is able to reduce response time by up to 70% compared to conventional methods, increasing the readiness of officers in handling fires. It is hoped that the results of this research can minimize the risk and impact of fire, as well as significantly increase building safety
Pengembangan Aplikasi Point of Sales untuk Prediksi Penjualan Harian Usaha Minuman Menggunakan Algoritma Random Forest Regression Verdiyanto, Ricky; Hartanti, Dwi; Purwanto, Eko
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28386

Abstract

The jumbo iced tea business is growing rapidly, but one partner in Solo faced challenges in manual transaction recording and sub-optimal stock management due to sales fluctuations. This problem has an impact on operational efficiency and customer satisfaction. This research aims to design and build a point of sales application with sales prediction features using random forest regression algorithms that are able to cope with non-linear data and have high accuracy. The method used is waterfall, which includes the stages of identification and planning, analysis, system design, implementation, and maintenance. The dataset for prediction is taken from historical daily sales data, with variables used including day of the week, weekend status, previous day's sales, and average sales of the previous 7 days. The test results show that the random forest regression model with a total dataset of 30 data has a good level of accuracy, with an average absolute error percentage of 2.85%. The application system developed is able to improve the operational efficiency of the jumbo iced tea business, support better decision making, increase profitability, and improve customer satisfaction through more structured stock and transaction management
Analysis of Double Materiality Application for Sustainability Reports 2023 Khairunnisa, Rifdah Yuri; Hartanti, Dwi
Jurnal Ilmu Sosial Mamangan Vol 12, No 3 (2025): Jurnal Ilmu Sosial Mamangan Accredited 2 (SK Dirjen Ristek Dikti No. 0173/C3/DT
Publisher : LPPM Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/mamangan.v12i3.8420

Abstract

Peraturan Otoritas Jasa Keuangan No. 51/POJK.03/2017 requires public companies to publish a Sustainability Report to the Financial Services Authority and public disclosure. The Sustainability Report functions to respond to challenges in fulfilling sustainability strategies, intended to motivate companies to take advantage of opportunities and mitigate risks so that they can meet stakeholder expectations. Materiality has a fundamental role in the development and preparation of Sustainability Reports. Regulations in the European Union have made it mandatory to apply double materiality as an approach to disclosing material topics in sustainability reporting, which is regulated in Directive (EU) 2022/2464. Double materiality is based on identifying material issues from two perspectives: environmental and social materiality (outward impact) and financial materiality (inward impact). This research aims to analyze the initial application of the double materiality approach to the Sustainability Report 2023 of companies listed on the Indonesian Stock Exchange in the energy sector (IDXENERGY) and the basic material sector (IDXBASIC). Researchers conducted content analysis on companies registered on the Indonesian Stock Exchange which are classified in the energy sector and basic material sector based on the Indonesia Stock Exchange Industrial Classification or IDX-IC. The results reveal the voluntary implementation of the double materiality approach in several companies in the energy sector and basic material sector. This research also shows the suitability of the selection of sustainability topics in the report with the GRI Standards for the oil and gas sector (GRI 11), coal sector (GRI 12) and mining sector (GRI 14).
Crude Drugs Standardization, Total Flavonoid and Phenolic Content Profile, and Antimicrobial Activity of Red Ginger and Lemongrass Combination Puspitasari, Adinda; Hamad, Alwani; Hartanti, Dwi
Jurnal Tumbuhan Obat Indonesia Vol. 17 No. 2 (2024): December 2024
Publisher : Universitas Tidar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31002/jtoi.v17i2.2008

Abstract

Baturraden people use a combination of red ginger rhizomes and lemongrass leaves for the treatment of masuk angin. This study aims to evaluate the quality profile of red ginger and lemongrass crude drug, total flavonoid content (TPC), total phenolic content (TFC), and the antimicrobial activities of their combination water extracts. The quality of both crude drugs was standardized to Indonesian Herbal Pharmacopeia (IHP). The TPC and TFC of red ginger and lemongrass combination in five different ratios were determined by standard UV-Vis spectrophotometry methods. The antimicrobial activity was evaluated using the microdilution method against patient-isolated multidrug-resistant (MDR) Staphylococcus aureus and Candida albicans. Lemongrass crude drugs were of good quality, while red ginger did not meet the acid-insoluble ash and volatile matter content requirements. The combination showed the highest TFC in a 75:25% ratio, while that of TPC was 50:50%. All combinations of lemongrass and red ginger extracts inhibited MDR Staphylococcus aureus and Candida albicans with a minimum inhibitory concentration (MIC) of 0.16 mg/ml. Candida albicans were more susceptible to the combination extracts. Red ginger rhizomes and lemongrass leaves 75:25% and 50:50% ratios showing comparable effects to the respective components. Hence, the combination of red ginger and lemongrass in 75:25 and 50:50% ratios potentially developed further for their masuk angin efficacy.
PERUBAHAN HEMODINAMIK OPERASI DENGAN SPINAL ANESTESI Cing, Marta Tania Gabriel Ching; Setiyabudi, Ragil; Hartanti, Dwi
Medika Respati : Jurnal Ilmiah Kesehatan Vol 19, No 2 (2024)
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/mr.v19i2.989

Abstract

Latar belakang: Anestesi spinal merupakan salah satu tehnik dari anestesi regional yaitu  dengan tindakan penyuntikan obat anestetik lokal ke dalam cairan serebrospinal di dalam ruang subaraknoid di daerah vertebra L2 - L3 atau L3 - L4 dengan tujuan untuk mendapatkan anelgesi setinggi dermatom tertentu dan relaksasi otot rangka. Tujuan: Penelitian ini bertujuan untuk melihat perubahan hemodinamik meliputi tekanan darah sistolik, frekwensi denyut jantung dan tekanan arteri rerata pada pasien pre anestesi spinal dan post anestesi spinal. Metode : Penelitian kuantitatif dengan desain cross sectional dengan dilakukan secara observasi nilai hemodinamik pasien pada pre dan post anestesi spinal, data diolah dengan pmenggunakan Paired T test dan Wilcoxon test.  Hasil: nilai tekanan darah pada pre dan post anestesi tidak mengalami perubahan signifikan sedangkan frekwensi tekanan nadi mengalami perubahan signifikan dari mean 78 menjadi mean 86 dan untuk tenanan arteri rerata mengalami perubahan signifikan dari mean 69,1 menjadi mean 93,2. Kesimpulan: tekanan darah sistolik tidak berpengaruh terhadap tindakan anestesi spinal namun mempengaruhi tekanan arteri rerata pasien dan frekwensi denyut jantung.
SISTEM REKOMENDASI PEMILIHAN HOTEL DI AREA SURAKARTA MENGGUNAKAN METODE KNOWLEDGE BASED DENGAN PENDEKATAN CONSTRAIN BASED Da Costa, Alexandre; Maulindar, Joni; Hartanti, Dwi
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 7 No 1 (2025): EDISI 23
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v7i1.5403

Abstract

Surakarta, sebagai kota wisata populer di Indonesia, menawarkan berbagai pilihan hotel dengan fasilitas dan harga beragam, namun banyaknya alternatif sering menyulitkan wisatawan dalam memilih akomodasi yang sesuai. Penelitian ini mengembangkan sistem rekomendasi hotel berbasis website menggunakan metode knowledge-based dengan pendekatan constraint-based. Metode knowledge-based memanfaatkan pengetahuan domain untuk memberikan rekomendasi, sementara constraint-based membatasi pilihan berdasarkan kriteria spesifik seperti lokasi, harga, dan fasilitas. Sistem ini dirancang agar mudah diakses melalui internet, memungkinkan pengguna memasukkan preferensi untuk mendapatkan rekomendasi hotel yang relevan. Hasil pengujian menunjukkan bahwa sistem mampu memberikan rekomendasi yang akurat dan relevan, mempermudah wisatawan dalam memilih hotel di Surakarta, serta berkontribusi pada pengembangan teknologi rekomendasi di bidang pariwisata.
PENERAPAN NAÏVE BAYES DALAMS PREDIKSI KETERCAPAIAN NILAI KRITERIA KETUNTASAN MINIMAL SISWA HARTANTI, DWI
Jurnal Sistem Informasi dan Ilmu Komputer Vol. 2 No. 1 (2018): JURNAL SISTEM INFROMASI DAN ILMU KOMPUTER PRIMA (JUSIKOMP)
Publisher : Fakultas Teknologi dan Ilmu Komputer Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (579.052 KB)

Abstract

Data mining adalah proses menemukan bagaimana hubungan dalam data yang tidak diketahui oleh pengguna menyajika dengan cara yang dapat dipahami sehingga hubungan menjadi dasar dalam pengambilan keputusan. Setiap sekolah memiliki sebuah masalah dalam nilai KKM siswa. Jika banyak siswa yang nilai tidak tercapai nilai KKM akan menjadi sebuah pekerjaan sekolah dalam hal ini. Dalam hal ini sekolah membutuhkan sebuah penerapan datamining yang dapat melakukan prediksi ketercapain nilai KKM siswa. Agar sekolah mendapatkan informasi siswa yang diperkirakan tidak tercapai nilai mata pelajaran. Sehingga sekolah dapat melakukan sebuah tindakan untuk masalah ini. Tujuan dari penelitian ini adalah melakukan prediksi ketercapaian nilai KKM siswa dengan menggunakan algoritma Naïve Bayes. Dalam melakukan pengukuran tingkat akurasi ketepatan hasil naïve bayes dalam melakukan prediksi ketercapain nilai KKM dalam mengikuti mata pelajaran. Atribut yang digunakan adalah nilai raa-rata UTS gasal, pendidikan orang tua, bimbingan belajar dan presensi kehadiran. Hasil pengujian dengan 600 record dengan porsi 75% data latih dan 25% data uji. Sistem menghasilkan akurasi sebesar 78%.
Monitoring Jumlah Orang di Ruangan Menggunakan Teknologi IOT Nurlaili, Dewi; Maulindar, Joni; Hartanti, Dwi
JATISI (Jurnal Teknik Informatika dan Sistem Informasi) Vol 12 No 1 (2025): JATISI (Jurnal Teknik Informatika dan Sistem Informasi)
Publisher : Universitas Multi Data Palembang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35957/jatisi.v12i1.10161

Abstract

The problem addressed in this research is the need to monitor the number of people entering and exiting a meeting room automatically and accurately. The objective of this study is to develop a system for monitoring the number of people in a meeting room using IoT technology to improve the efficiency of room capacity management. The method used in this research involves the application of an Arduino Uno microcontroller with HC-SR04 ultrasonic sensors to detect object movement and display the results on an LCD in real-time. The test results show that the system successfully detects the number of objects entering and exiting the room accurately. The LCD display shows numbers corresponding to the changes in the number of people inside the room with labels "In" and "Out." The first test showed that when 25 objects entered and 6 objects exited, the remaining number of visitors was 19. In the second test, with 7 objects entering and no objects exiting, the number of visitors inside the room was 7. The third test showed 23 objects entering and 3 objects exiting, leaving 20 people in the room. The fourth test, with 14 objects entering and no objects exiting, showed 14 people inside the room. The fifth test, with 10 objects entering and no objects exiting, resulted in 10 people remaining in the room. Overall, the test results indicate that the system functions well in detecting the number of people in the room in real-time and can be used for efficient room capacity monitoring.
QUALITY CHARACTERIZATION AND ANTIOXIDANT PROPERTIES OF ROSE PERIWINKLE CRUDE DRUGS Hartanti, Dwi; Charisma, Shintia Lintang; Rinawati, Jeri; Hamad, Alwani
Jurnal Ilmiah Ibnu Sina (JIIS): Ilmu Farmasi dan Kesehatan Vol 10 No 1 (2025): Jurnal Ilmiah Ibnu Sina
Publisher : Sekolah Tinggi Ilmu Kesehatan ISFI Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36387/jiis.v10i1.2320

Abstract

Leaves and flowers of rose periwinkle (Catharanthus roseus (L.) G. Don) are used for traditional diabetes management in Banyumas, Indonesia. This study evaluated the selected quality characters, total flavonoid content (TFC), total phenolic content (TPC), and the antioxidant activities of rose periwinkle crude drugs. Plant materials were collected from three locations in the Baturraden and Sumbang subdistricts and dried using an artificial heat drying rack to obtain crude drugs. The crude drugs' quality characters, TFC, TPC, and antioxidant activities were evaluated using standard methods. The quality characters of the crude drugs were specified as follows: loss on drying (9.12±0.50%), total ash (8.20±0.71%), acid-insoluble ash (0.24±0.06%), water extractable (28.82±6.77%), and ethanol extractable (35.17±1.79%). The chromatographic profile was generated from chloroform-methanol (8:2) separation over silica GF254. The TFC and TPC were 7.66±0.48 mg Quercetin equivalent (QE)/g and 7.27±1.07 mg Gallic acid equivalent (GAE)/g, respectively. The antioxidant activities were 148.95±12.00 Trolox equivalent (TE)/g for DPPH radical scavenging activity and 651.14±77.91 mM TE/g for FRAP. The DPPH radical scavenging activity and FRAP were weakly to moderately correlated to TPC and TFC. The phenolic compound and flavonoid contents of physicochemically-characterized rose periwinkle were not significantly correlated to their antioxidant activities.
PENDEKATAN NAIVE BUYES DALAM KLASIFIKASI PENILAIAN KINERJA PEGAWAI Rukmini, Siti; Nurchim, Nurchim; Hartanti, Dwi
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 2 (2025): JATI Vol. 9 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i2.13124

Abstract

Dalam reformasi birokrasi, evaluasi terhadap kinerja Aparatur Sipil Negara (ASN) menjaddi salah satu hal yang diperhatikan dalam pengelolaan sumber daya manusia terutama untuk memperbaiki tata kelola pemerintahan guna meningkatkat efektivitas dan efisiensi organisasi. Akan tetapi setiap ASN memiliki kemampuan kompetensi, produktivitas, dan kontribusi yang berbeda. Oleh karena itu diperlukan pengklasifikasian kinerja untuk menentukan potensi, menilai pencapaian, dan menentukan langkah-langkah yang tepat bagi setiap pegawai. Dalam pengklasifikasian penilaian kinerja sering kali bersifat subjektif dan kurang berbasis data, yang dapat menyebabkan penanganan yang tidak efektif dan tepat sasaran sehingga pimpinan dalam mengambil keputusan atau rekomendasi masih belum tepat sasaran. Untuk mengidentifikasi dan mengklasifikasikan data kinerja pegawai sesuai dengan tingkatannya maka peneliti mengimplementasikan metode Naïve Bayes dalam mengklasifikasi data kinerja PNS di lingkungan Pemerintah Kabupaten Sragen. Penelitian menggunakan data kepegawaian dari aplikasi SIMPEG yang mencakup atribut seperti nama, NIP, golongan, pendidikan, hasil kerja, perilaku kerja. Data tersebut diklasifikasikan ke dalam empat kelas kinerja: sangat baik, baik, butuh perbaikan dan kurang. Model yang dikembangkan dievaluasi menggunakan metrik akurasi, presisi, dan recall untuk memastikan performa algoritma. Hasil evaluasi menunjukkan bahwa akurasi data yang benar mencapa 94%, akurasi data yang salah sebesar 6%, pressision sebesar 93,6% dan recall sebesar 100%. Dengan demikian hasil ini telah memenuhi ekspektasi peneliti.
Co-Authors Abdul Aziz, Fitroh Ahmad Abdul Haris Mulyadi Agus Mulyono Agus Siswanto Agustina Srirahayu Agustina, Rinawati Ahmad Wahyu Saputra, Nur Ajeng Ayu Arumsari Alwani Hamad Ananta, Kevin Yoga Andestia Sinaga, Risda Yunita Andi Aslindah, Andi Ani Aminiati, Ani Anindhiasti Ayu Kusuma Asri Anisa Rahmawati Apriliana, Anggie Aprilisa Arum Sari Ardiana, Reni Arianingsih, Elfa Arif Wirahadi Kusuma, Arif Wirahadi Arinda Nur Cahyani Asmiyenti Djaliasrin Djalil Atina, Vihi Awaludin, Toni Ayuningtyas, Yulita Pratiwi Azizah, Shelvi Binar Asrining Dhiani Charisma, Shintia Lintang Christyana Anggraeni, Christyana Cing, Marta Tania Gabriel Ching Da Costa, Alexandre Diah Permatasari, Diah Diniatik Diniatik Ebel, Rainer Eddy Soemardi Eka Prasetyo Agung Pambudi Eko Purwanto Eli Nurlaeli, Eli Emi Rahma Wulandari, Emi Rahma Eny Tantini Setiatin Erlinawati, Mira Esih Jayanti Fadlilah, Intan Nur Farradhi, Muhammad Fathurahman, Jofan Ferdinand Munthe, Hans Firdausi, Annisaa' Alam Ganesha, Irena Gunawan Indrayanto Gustina Nurkhayatun, Gustina Handoyo Handoyo hanif, abdurrohman Hartanto, Didik Mayur Hasanah, Herliyani Hilmi Putra Andriano, Muhammad I WAYAN SUDARTA Ichsan Pradana, Afu Ika Yuni Astuti Imam Purnomo Sugiarto, Imam Purnomo Indri Hapsari Intan Febiana Ovianti Iskandar Soedirman, Iskandar Iskandar Sudirman Istifah Istifah, Istifah JOKO SUSANTO Khairunnisa, Rifdah Yuri Kristiana , Dorothea Dian Kusumawati, Erlina Kumala Lero, Eunike Erlita Lestari, Fany Lia Amelia Linda Kurniawati, Linda Lindawati Damidjan, Lindawati M Sholeh M. Gigih Panji Mahardika, M. Gigih Panji Mandiri, Puput Dwi Maulindar, Joni Mawarni, Dinda Rima Mutmainah Melani Setiowati Muhtarom, Moh Nasrun Hidayat, Nasrun Naveed, Mubshair Nia Kurnia Nibras Faiq Muhammad Nofikasari, Indah Nofrianti Nofrianti Noor Erma Sugijanto Noordi, Daffa Rizki Putra Nunuk Aries Nurulita Nur Rohmani, Mayda Nurchim Nurchim Nurcholifah, Lilik Nurkhalis, Danang Nurlaili, Dewi Nurmalitasari Nurmalitasari Oktaviani, Intan Permana, Aditya Candra Permatasari, Hanifah Permatasari, Indah Sartika Pradana, Afu Ichsan Pradani, Dea Yulinestria Prastowo, Irfan Agus Pratama, Fandi Aziz Pri Iswati Utami Purwanti, Diah Intan Puspitasari, Adinda Putra, Enggar Wijaya Putri, Desy Puspa Putro, Herdayanto Sulistyo Ragil Setiyabudi, Ragil Raharisti, Nur Arifah Rahman, Agung Dwi Rahmani Prastiwati Ranti Kartikasari, Ranti Rateb, Mostafa Ezzat Ratno Subekhi, Ratno Rema Rahmalia, Rema Renny Amelia Retno Wahyuningrum Ridwan, Alfian Junior Ridwan, Avin Nolis Rinawati, Jeri Risda Yunita, Risda Riyad Khomsidin, Riyad Roselina Wulandari Rudi Susanto Rukmini, Siti Sabikis Sabikis, Sabikis Sagala, Agus Junianto Santosa, Tri Djoko Saputra, Ilham Tristadika Saputra, Rafi'i Dwi Saputro, Nurbagus Sekar, Lola Setiawan, Jodi Apri Shella Diana Oktaviani, Shella Diana Sopingi Sopingi Sopingi, Sopingi Sudarso Sudarso Sugiarto, Muhammad Aqsha Rizki Sugijanto, Noor Erma N Sumarlinda, Sri Sundari Sundari Supriyanto, July Suryani, Fajar Sutopo Sutopo Syah Putri, Tina Syarifah, Arini Tatik Mulyati Theo Santoso, Daniel Tjiptasurasa Tjiptasurasa, Tjiptasurasa Tri Utami Kurniawati, Elizabeth Triyo Nova, Triyo Unik Fajriyah, Unik Verdiyanto, Ricky Wahyu Pamekas, Bondan Wahyu Utaminingrum Wardani, Eunike Rindayu Pradnya Paramitya Wardani, Tri Kusuma Wicaksana, Firman Widya Cahya Ariswati, Widya Cahya Wijanarko, Restu Gilang Wiranti Sri Rahayu Wongso, Suwidji Yulianingsih, Nur Yulianti , Henti Zaenuar Erfandi