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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 Owner : Riset dan Jurnal Akuntansi Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Indonesian Journal of Applied Informatics KOMPUTIKA - Jurnal Sistem Komputer Simtek : Jurnal Sistem Informasi dan Teknik Komputer Jurnal Riset Informatika Inovasi: Jurnal Ilmiah Ilmu Manajemen 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 Journal of Computer Networks, Architecture and High Performance Computing SKANIKA: Sistem Komputer dan Teknik Informatika International Journal Of Science, Technology & Management (IJSTM) Mattawang: Jurnal Pengabdian Masyarakat Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Pendidikan dan Teknologi Indonesia Journal of Fundamental and Applied Pharmaceutical Science 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) Journal of Comprehensive Science Makara Journal of Science Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) 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) Jurnal Pendidikan Indonesia (Japendi) Adopsi Teknologi dan Sistem Informasi Jurnal Pengabdian kepada Masyarakat (ABDIKEMAS) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Innovative: Journal Of Social Science Research SmartComp Media Farmasi Jurnal Tumbuhan Obat Indonesia Jurnal Dinamika Akuntansi Jurnal Kefarmasian Indonesia Indonesian Journal of Jamu Jurnal PETISI (Pendidikan Teknologi Informasi)
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 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 Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

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Hybrid Decision Tree Method and C4.5 Algorithm for a Recommendation System in Determining Recipients of Direct Cash Assistance (BLT) Bhactiar , Rio Rizq Nur; Hartanti, Dwi; Harsanto
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 2 (2023): Article Research Volume 5 Issue 2, July 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i2.2414

Abstract

Development of a recommendation system to determine recipients of Direct Cash Assistance (BLT) using the C4.5 algorithm hybrid method and decision tree. In the current era of digitalization, the BLT program is a solution for the Indonesian government to help people affected by the COVID-19 pandemic. In this study, we propose a recommendation system that combines the C4.5 algorithm and a decision tree to increase accuracy and efficiency in determining BLT beneficiaries. Primary data was obtained through interviews and observations, while secondary data was obtained from the village administration, written reports, journals, theses and previous research. The results showed that the C4.5 algorithm and decision tree hybrid method gave good performance in determining BLT recipients. The C4.5 algorithm is used to calculate the accuracy of the training data and testing data with a ratio of 80% : 20%, while the decision tree is used to create a decision tree that classifies prospective BLT recipients. This research fills in the previous research gap regarding the recommendation system for determining BLT beneficiaries. The results of this study are expected to provide useful information for the government in making decisions regarding the BLT program, especially at the village or sub-district level. With an accurate and efficient recommendation system, financial assistance can be provided to those who really need it, helping to meet the basic daily needs of affected communities.
Evaluasi Efektivitas Pengendalian Internal pada Aktivitas Outsourcing Pengelolaan Bea Meterai Furqan, Furqan; Hartanti, Dwi
Owner : Riset dan Jurnal Akuntansi Vol. 8 No. 3 (2024): Artikel Research July 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/owner.v8i3.2143

Abstract

Stamp duty is the only type of tax that is managed by the Directorate General of Taxes (DJP) through the outsourcing mechanism. Under this mechanism, the management of stamp duty is predominantly carried out by third parties, while the DJP acts as the principal overseeing the process. As previously researched, despite its advantages, the outsourcing mechanism also comes with weaknesses and risks. Therefore, controls are needed to ensure they align with the DJP's intended objectives. This research aims to evaluate the effectiveness of the internal controls implemented by the DJP in the outsourcing activities related to stamp duty management. The study takes the case study form and adopts a qualitative approach, evaluating the components and principles of the 2013 COSO Internal Control Integrated Framework concerning outsourcing activities in stamp duty management. Data collection involves document analysis and interviews with individuals directly involved in stamp duty management. The data is analyzed using maturity levels to determine the effectiveness of each control component and principle. The research results reveal diverse levels of control effectiveness. Among the five control components, only two are at an optimum level, while the others exhibit lower levels of effectiveness in control principles. This study provides recommendations to the DJP for enhancing internal control effectiveness, particularly in the aspects of supervising the internal control system, comprehensively identifying risks, and considering the potential for fraud in risk assessments. This research is expected to contribute academically and serve as a reference for regulators in making decisions related to stamp duty management.
Penerapan Metode Content-Based Filtering Pada Sistem Rekomendasi Pemilihan Produk Obat Studi Kasus : Apotek Hero Farma Indriyani, Tiara; Pradana, Afu Ichsan; Hartanti, Dwi
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (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.v8i2.30498

Abstract

Selecting the right drug product is an important aspect in pharmaceutical services, especially for customers who do not yet have a deep understanding of the content and function of each drug. The limited number of pharmacists at Hero Farma Pharmacy often causes the service process to be inefficient, especially when still relying on manual recommendation methods that take a long time. This study aims to design a recommendation system that can assist in drug selection by implementing the content-based filtering method. This system is built by processing product attributes such as drug name, category, indication, dosage form, and price to form a profile of each product. The level of similarity between products is then calculated using the TF-IDF and Cosine Similarity methods. The data used in this study were obtained from Hero Farma Pharmacy located in Surakarta, with samples of 10 different types of drugs. The implementation results show that the system can produce recommendations with a good level of accuracy, where Promag drug obtained the highest Cosine Similarity value of 43.03% based on the query entered. This system successfully provides drug recommendations that have similar characteristics based on user needs and can help customers in making decisions correctly and improve the work efficiency of pharmacy staff.
Perancangan Sistem Rekomendasi Pemilihan Objek Wisata Karanganyar Dengan Metode Knowledge Base Nugroho, Nur Cahyo; Moh. Muhtarom; Maulindar, Joni; Hartanti, Dwi
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (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.v8i2.30503

Abstract

Karanganyar Regency has significant potential in the tourism sector, especially nature tourism. However, the abundance of destination choices often makes it difficult for tourists to determine places that match their preferences. Currently available information is general and cannot be tailored to the specific needs of each user, making the decision-making process less efficient. This research proposes a knowledge-base recommendation system designed to assist users in selecting tourist destinations in Karanganyar according to their preferences. This system utilizes five main attributes: category, location, ticket price, rating, and facilities. System development was carried out using the Waterfall method, which includes requirements analysis and system design stages. User input is processed by matching it against the tourism data knowledge base using specific rules, and similarity calculations are performed to measure the degree of resemblance between user preferences and available tourism data. Based on similarity calculation results for 10 nature tourism data points, the system successfully recommended a destination with the highest similarity value of 0.991, namely Bukit Mongkrang, which best matched the user's selected criteria. Bukit Mongkrang met the user's desired criteria, being located in Tawangmangu, classified as nature tourism, having a mid-range ticket price, a rating 0.2 higher than the user's preference, and providing key facilities sought by the user. The results of this knowledge-base recommendation system modeling can serve as a reference for developing similar systems in the tourism field.
Sistem Rekomendasi Peminjaman Buku Menggunakan Metode Vector Space Model Berbasis Pembobotan TF-IDF dan FastText (Studi Kasus Perpustakaan SMP Negeri 1 Kartasura) Buana Perdana, Rendi; Hartanti, Dwi; Hasanah, Herliyani
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (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.v8i2.30540

Abstract

Libraries play an important role in supporting the learning process at school. However, in its utilization, students often find it difficult to find books that suit their needs and interests due to the non-optimal management of the book collection. This problem also occurs at SMP Negeri 1 Kartasura, where there is no system that can generate book recommendations automatically and relevantly. The purpose of this research is to build a Content-Based Filtering-based book recommendation system with the Vector Space Model method which is further developed by combining TF-IDF weights and word vector representation from FastText, resulting in the TF-IDF Weighted with FastText technique. TF-IDF is used to determine the importance of a word in a book description, while FastText is used to capture the semantic meaning of the word in more depth. The system is implemented using book collection data in SMP Negeri 1 Kartasura Library, with input in the form of keywords from users. The document vector representation resulting from the combination of TF-IDF and FastText is then calculated using cosine similarity to determine the most relevant book. Evaluation was then conducted using the Precision@10 metric against ten different keywords, and the system produced an average Precision@10 of 0.93, indicating that 93% of the recommendations provided by this system are relevant to the user's keywords.
Sistem Rekomendasi Pemilihan Laptop Menggunakan Metode Content-Based Filtering Berbasis Spesifikasi Produk Pratiwi, Niken; Hartanti, Dwi; Arum Sari, Aprilisa
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (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.v8i2.30618

Abstract

The advancement of information technology has led to an increasing demand for computing devices, particularly laptops. The wide variety of options based on specifications, brands, and prices often makes it difficult for consumers to choose the device that best suits their needs. Therefore, this study aims to design a laptop recommendation system using the Content-Based Filtering (CBF) approach to provide relevant suggestions based on user preferences. The developed system applies Term Frequency-Inverse Document Frequency (TF-IDF) and Cosine Similarity methods to measure the similarity between key laptop features such as processor type, RAM capacity, storage, and graphics card. Laptop data was obtained through a web scraping process from trusted e-commerce websites and integrated into a web-based platform. Testing results show that the system can automatically generate personalized and highly relevant recommendations. The main contribution of this study is the development of an efficient content-based laptop recommendation system utilizing a combination of TF-IDF and Cosine Similarity techniques. In addition to facilitating faster decision-making in selecting a laptop, the system also demonstrates the practical application of machine learning-based recommendation technologies in the e-commerce sector. This research further provides a foundation for developing similar recommendation systems in other contexts that require content-based personalization approaches.
Sistem Rekomendasi Resep Masakan Menggunakan Metode Content Based Filtering Berdasarkan Preferensi Pengguna Kurnia Sari, Vena; Hartanti, Dwi; Purwanto, Eko
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 2 (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.v8i2.30625

Abstract

Food is a fundamental human need that plays a crucial role in supporting health. For housewives, cooking is a daily routine in preparing nutritious meals for their families. In the digital era, technology simplifies recipe searching, but the abundance of available recipes often makes it difficult for users to find ones that match their available ingredients. To address this issue, this study develops a recipe recommendation system based on content-based filtering. The dataset was collected from cookpad.com and includes recipe names, ingredients, cooking duration, and cooking instructions. The system is designed using a content-based filtering approach and cosine similarity to measure the relevance between user input and existing recipe data. Users simply input ingredients, seasonings, or types of dishes they have, and the system provides relevant recommendations. Testing results show that the system can accurately identify and recommend recipes based on keywords, including specific cases such as "Soto Ayam Bening." The recommendations generated are reasonably accurate and assist users in selecting the most suitable recipes according to their needs. This system is expected to offer a practical solution for users in determining appropriate meal choices based on the ingredients available at home
Traditional Use of Medicinal Plants in Baturraden, Central Java Nofrianti, Nofrianti; Utaminingrum, Wahyu; Hartanti, Dwi
Jurnal Jamu Indonesia Vol. 6 No. 2 (2021): Jurnal Jamu Indonesia
Publisher : Tropical Biopharmaca Research Center, IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jji.v6i2.206

Abstract

An ethnopharmacological study is an initial step for the development of jamu, which has been simultaneously conducted throughout Indonesia. This study aimed to explore the utilization of medicinal plants in Baturraden, a region with relatively rich plant biodiversity in Java. Our research is a quantitative ethnobotanical study reporting the utilization of medicinal plants as a single plant botanical preparation in the studied area. The data were collected through semi-structured interviews with 36 informants on the local names, indications, parts used, method of preparation, and application of the plants. The species use-value (SUV), relative frequency citation (RFC), and the fidelity level (FL) of each species were calculated accordingly. The study recorded the utilization of 47 species of medicinal plants, which were employed to treat 32 ailments. Leaves, decoctions, and oral were recorded as the most commonly used plant part, herbal preparation, and application. There were 24 botanical preparations with the FL value of 100%, which were indicated for the treatment of fourteen diseases/symptoms. Curcuma longa, Zingiber officinale, Piper betle, Cymbopogon citratus, Andrographis paniculata, Syzygium polyanthum, Citrus aurantiaca, and Zingiber montanum were considered as the most important and valuable plants by the local community. Hence, those plants should be evaluated further for their pharmacological activity and developed into standardized botanical preparations.
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.
Uji Validitas Modul Discovery Learning Struktur Tumbuhan dengan menggunakan Potensi Lokal Umbul Tlatar untuk Meningkatkan Keterampilan Regulasi Diri dan Sikap Kepedulian Lingkungan Siswa SMA Hartanti, Dwi; Sajidan, S; Prayitno, Baskoro Adi
Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek) 2019: Prosiding SNPBS (Seminar Nasional Pendidikan Biologi dan Saintek)
Publisher : Universitas Muhammadiyah Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (224.192 KB)

Abstract

Pembelajaran dengan memanfaatkan potensi lokal pada kawasan Umbul Tlatar di Boyolali sebagai alternatif yang dapat digunakan untuk pembelajaran materi biologi. Modul Discovery Learning (DL) dengan menggunakan potensi lokal Umbul Tlatar diharapkan mengaktifkan siswa terutama pada materi struktur tumbuhan. Tujuan penelitian yaitu mengetahui kelayakan modul. Metode penelitian menggunakan model penelitian dan pengembangan Borg & Gall yang terfokus tahap uji coba pertama dan tahap revisi produk. Instrumen yang digunakan meliputi: observasi dan angket,.Data yang diperoleh yaitu data hasil validasi ahli. Hasil penelitian dan pengembangan menunjukkan modul dinyatakan layak oleh ahli materi sebesar 96,23%(modul siswa) dan 96,79% (modul guru), ahli penyajian modul 87,09%(modul siswa) dan 87,09%( (modul guru), ahli perangkat pembelajaran 80,50%(modul siswa) dan 84,38% (modul guru), ahli evaluasi sebesar 93,75%(modul siswa) dan 93,75%(modul guru). Hasil uji validasi menunjukkan kelayakan Modul Discovery Learning StrukturTumbuhan dengan menggunakan Potensi Lokal Umbul Tlatar Untuk Meningkatkan Keterampilan Regulasi Diri dan Sikap Kepedulian Lingkungan Siswa SMA
Co-Authors Abdul Aziz, Fitroh Ahmad Abdul Haris Mulyadi Afifah, Dini Nur 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 Anisatul Farida Apriliana, Anggie Aprilisa Arum Sari Ardi Wiranata Arianingsih, Elfa Arif Wirahadi Kusuma, Arif Wirahadi Arinda Nur Cahyani Arini Syarifah Arum Sari, Aprilisa Asmiyenti Djaliasrin Djalil Atina, Vihi Awaludin, Toni Ayuningtyas, Yulita Pratiwi Azizah, Shelvi Baskoro Adi Prayitno Bhactiar , Rio Rizq Nur Binar Asrining Dhiani Buana Perdana, Rendi Charisma, Shintia Lintang Christyana Anggraeni, Christyana Cing, Marta Tania Gabriel Ching Citra Kusuma Dewi Da Costa, Alexandre Diah Permatasari, Diah Diniatik Dodi Siraj Muamar Zain Ebel, Rainer Eddy Soemardi Eka Prasetyo Agung Pambudi Eko Purwanto Ekrista Oktaviana Dewi, Maria 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 Furqan Furqan, Furqan Ganesha, Irena Gunawan Indrayanto Gustina Nurkhayatun, Gustina Handoyo Handoyo hanif, abdurrohman Haq, M Tsabit Sofatul Harsanto Hartanto, Didik Mayur Hasanah, Herliyani Hilmi Putra Andriano, Muhammad I WAYAN SUDARTA Ichsan Pradana, Afu Ika Yuni Astuti Imam Purnomo Sugiarto, Imam Purnomo Indah, Ratna Puspita Indri Hapsari Indriyani, Tiara Intan Febiana Ovianti Iskandar Soedirman, Iskandar Iskandar Sudirman Istifah Istifah, Istifah JOKO SUSANTO Khairunnisa, Rifdah Yuri Kinanti, Khisi Kristiana , Dorothea Dian Kurnia Sari, Vena 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 Mauliana, Dinda Maulindar, Joni Mawarni, Dinda Rima Mutmainah Melani Setiowati Moh. Muhtarom Muhtarom, Moh Nasrun Hidayat, Nasrun Naveed, Mubshair Nia Kurnia Nibras Faiq Muhammad Niken Pratiwi, Niken Nofikasari, Indah Nofrianti Nofrianti Noor Erma Sugijanto Noordi, Daffa Rizki Putra Nunuk Aries Nurulita Nur Cahyo Nugroho Nur Rohmani, Mayda Nurchim Nurchim Nurcholifah, Lilik Nurkhalis, Danang Nurlaili, Dewi Nurmalitasari Nurmalitasari Nurwijayanti 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 Rahmadini, Suci 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 Sajidan Sajidan salifi, ibnu - Santika, Dita Santosa, Tri Djoko Saputra, Rafi'i Dwi Saputro, Nurbagus Sekar, Lola Setiawan, Jodi Apri Setiawan, Wildan Shella Diana Oktaviani, Shella Diana Silva, Adão Manuel da Sopingi Sopingi Sopingi, Sopingi Sudarso Sudarso Sugiarto, Muhammad Aqsha Rizki Sugijanto, Noor Erma N Sumarlinda, Sri Sundari Sundari Supriyanto, July Suryani, Fajar Sutopo Sutopo Syafrudin, Andang Syah Putri, Tina Syawaludin, M Ainur 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