Article Per Year (5 Year)
p-Index From 2021 - 2026
7.715
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 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 Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ 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) 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) 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 Pharmaceutical Sciences and Research (PSR) 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) Adopsi Teknologi dan Sistem Informasi Jurnal Pengabdian kepada Masyarakat (ABDIKEMAS) Prosiding Seminar Nasional Teknologi Informasi dan Bisnis SmartComp Media Farmasi Jurnal Tumbuhan Obat Indonesia 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 Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Other

Published : 78 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 78 Documents
Search

 4   5   6   7   8 
Evaluating the Effectiveness of Customer Acquisition and Activation Strategies in Retail Securities: A Value-Added Analysis Approach Ayuningtyas, Yulita Pratiwi; Hartanti, Dwi
Golden Ratio of Marketing and Applied Psychology of Business Vol. 6 No. 1 (2026): July - January
Publisher : Manunggal Halim Jaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52970/grmapb.v6i1.1288

Abstract

This study evaluates the effectiveness of customer acquisition and activation strategies in retail securities services using a Value-Added Analysis (VA Analysis) approach. Adopting a qualitative case study methodology, the research focuses on PT X, a national securities firm in Indonesia, and investigates the efficiency of its onboarding process conducted through digital channels. Data were collected via semi-structured interviews with operational and marketing personnel, a netnographic review of customer feedback on social media, and internal document analysis. The onboarding activities were categorized into value-added, Business-value-added, and non-value-added activities to assess their contribution to customer activation. Findings indicate persistent inefficiencies, particularly in sales-driven product alignment and incentive distribution processes, which hinder conversion from account registration to initial transaction. The study suggests that improving key performance alignment, automating verification systems, and leveraging data analytics are crucial to transforming the onboarding process into a more value-generating system. This research contributes to the application of VA Analysis in evaluating service processes within digital financial ecosystems and offers practical insights for enhancing acquisition-to-activation effectiveness in competitive capital markets.
Rekomendasi Pengembangan Sumber Daya Manusia UMKM Kuliner Dalam Ekosistem E-Commerce Digital Maulindar, Joni; Ichsan Pradana, Afu; Hartanti, Dwi; Wahyu Pamekas, Bondan
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2025
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/ct23j021

Abstract

Transformasi digital UMKM kuliner masih menghadapi tantangan pada aspek pengembangan sumber daya manusia (SDM) yang belum merata. Penelitian ini bertujuan untuk mengelompokkan karakteristik SDM UMKM kuliner dalam ekosistem e- commerce digital menggunakan pendekatan data-driven. Metode penelitian yang digunakan adalah pendekatan kuantitatif dengan teknik analisis klaster K-Means terhadap 100 data responden. Hasil penelitian menunjukkan terbentuknya enam klaster dengan karakteristik yang berbeda. Klaster 0 memiliki tingkat literasi digital, pelatihan, dan dukungan manajerial yang rendah. Klaster 1 unggul dalam pemahaman e-commerce dan dukungan manajerial, namun lemah dalam TI operasional. Klaster 2 menunjukkan kekuatan pada TI operasional, tetapi rendah pada literasi dan manajerial. Klaster 3 cukup seimbang dalam berbagai aspek, namun masih lemah pada sisi manajerial. Klaster 4 aktif dalam pelatihan, tetapi memiliki kendala pada akses infrastruktur. Klaster 5 memiliki skor tinggi di hampir semua variabel, menunjukkan kesiapan sebagai UMKM digital champion. Temuan ini menunjukkan pentingnya strategi intervensi yang disesuaikan untuk pengembangan SDM berbasis klaster.
Perancangan Sistem Rekomendasi Pemilihan Makanan Indonesia Berdasarkan Kandungan Nutrisi Menggunakan Algoritma Knowledge-Based Filtering Sholeh, M; Muhtarom, Moh; Hartanti, Dwi
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2025
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/22tjzk88

Abstract

Penelitian ini bertujuan untuk mengembangkan sistem rekomendasi pemilihan makanan Indonesia berdasarkan kandungan nutrisi menggunakan algoritma Knowledge-Based Filtering. Permasalahan utama yang diangkat adalah sulitnya pengguna dalam menentukan makanan yang sesuai dengan kebutuhan nutrisinya secara spesifik, terutama pada makanan khas Indonesia yang memiliki keberagaman jenis dan komposisi. Metode yang digunakan dalam sistem ini mengadopsi pendekatan Case-Based Reasoning, di mana profil kebutuhan nutrisi pengguna dibandingkan dengan kandungan nutrisi makanan menggunakan rumus perhitungan similarity berbobot. Dataset yang digunakan terdiri dari 1.346 data makanan Indonesia yang diambil dari situs Kaggle, dengan atribut utama kalori, protein, lemak, dan karbohidrat. Pengembangan sistem dilakukan menggunakan metode Waterfall yang terdiri dari tahap analisis, perancangan, dan implementasi. Hasil pengujian menggunakan Python menunjukkan bahwa sistem mampu memberikan daftar makanan dengan tingkat kemiripan yang tinggi, sistem mampu memberikan rekomendasi relevan seperti ayam usus goreng (similarity 0.93691) untuk input kalori:450, protein:50, lemak:30, karbohidrat:100. Rancangan sistem ini dirancang untuk diimplementasikan lebih lanjut dalam aplikasi web berbasis Laravel.
Analisis Performa Autentikasi Wajah pada Sistem Informasi Manajemen Rumah Sakit Menggunakan Model Tiny Face Detector dari Face-API.js Awaludin, Toni; Ichsan Pradana, Afu; Hartanti, Dwi
Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2025
Publisher : Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47701/qq1qnq79

Abstract

Penerapan Rekam Medis Elektronik (RME) di fasilitas kesehatan, termasuk RSUD Ir. Soekarno Kabupaten Sukoharjo, menjadi penting untuk memenuhi Peraturan Menteri Kesehatan Nomor 24 Tahun 2022 yang menekankan aspek keamanan data. Namun, Sistem Informasi Manajemen Rumah Sakit (SIMRS) masih menggunakan metode autentikasi konvensional berupa username dan password, yang rentan terhadap kelalaian logout dan penyalahgunaan akses. Penelitian ini bertujuan untuk menganalisis performa modul autentikasi wajah yang diintegrasikan ke dalam SIMRS dengan menggunakan model Tiny Face Detector dari Face-API.js, dengan fokus pada tingkat akurasi identifikasi dan kecepatan respon sistem Pengujian dilakukan pada dua skenario: pengguna tanpa masker dan pengguna yang mengenakan masker. Hasil menunjukkan bahwa sistem memiliki akurasi tinggi dan respon yang cepat saat mendeteksi wajah tanpa masker. Sebaliknya, sistem gagal mengenali wajah saat pengguna memakai masker. Temuan ini menunjukkan bahwa autentikasi wajah dengan model Tiny Face Detector dari Face-API.js layak diterapkan dalam SIMRS, tetapi efektivitasnya bergantung pada kondisi wajah yang tidak tertutup masker. Penelitian ini memberikan dasar teknis bagi pengembangan autentikasi biometrik di lingkungan rumah sakit dan mendorong evaluasi lanjutan terhadap model yang lebih adaptif terhadap penggunaan masker.
Perancangan tempat sampah otomatis berbasis arduino Noordi, Daffa Rizki Putra; Prastowo, Irfan Agus; Sugiarto, Muhammad Aqsha Rizki; Hartanti, Dwi
Hexatech: Jurnal Ilmiah Teknik Vol. 1 No. 2 (2022): Hexatech: Jurnal Ilmiah Teknik
Publisher : ARKA INSTITUTE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/hexatech.v1i2.343

Abstract

Trash cans that have been provided by cleaning agencies only become silent decorations on the streets that are not taken care of and not attractive. Maybe it is also a factor that causes humans to be reluctant to throw garbage. Reflecting on this, each individual's awareness of environmental cleanliness is needed and further improved to minimize the waste that scatters on the streets. In raising awareness of concern for environmental cleanliness, Sometimes it requires a unique way for each individual to be interested, so do not hesitate to throw garbage in its place. The purpose of this research is to produce a tool that is a unique and interesting trash can, Can open and close automatically if any movement is detected. So it is expected that the tool is able to attract attention so that people can throw garbage in its place. This research is carried out based on the results of data collection analysis, direct observation of the system how the tool works, interviews with related parties.
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.
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.
Co-Authors Abdul Aziz, Fitroh Ahmad Abdul Haris Mulyadi Afifah, Dini Nur Afu Ichsan Pradana Agus Mulyono Agus Siswanto Agustina, Rinawati Ajeng Ayu Arumsari Alwani Hamad Andestia Sinaga, Risda Yunita Andi Aslindah, Andi Ani Aminiati, Ani Anindhiasti Ayu Kusuma Asri Anisa Rahmawati 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 Awaludin, Toni Ayuningtyas, Yulita Pratiwi Baskoro Adi Prayitno Bhactiar , Rio Rizq Nur Binar Asrining Dhiani Bondan Wahyu Pamekas Buana Perdana, Rendi Charisma, Shintia Lintang Christyana Anggraeni, Christyana Cing, Marta Tania Gabriel Ching Diah Permatasari, Diah Diniatik Ebel, Rainer Eddy Soemardi Eka Prasetyo Agung Pambudi Eli Nurlaeli, Eli Emi Rahma Wulandari, Emi Rahma Eny Tantini Setiatin Esih Jayanti Fadlilah, Intan Nur Farradhi, Muhammad Fathurahman, Jofan Ferdinand Munthe, Hans Furqan Furqan, Furqan Ganesha, Irena Gunawan Indrayanto Gustina Nurkhayatun, Gustina Handoyo Handoyo Haq, M Tsabit Sofatul Harsanto Hartanto, Didik Mayur Hasanah, Herliyani I WAYAN SUDARTA Ika Yuni Astuti Imam Purnomo Sugiarto, Imam Purnomo Indri Hapsari Indriyani, Tiara Iskandar Soedirman, Iskandar Iskandar Sudirman Istifah Istifah, Istifah JOKO SUSANTO Khairunnisa, Rifdah Yuri Kinanti, Khisi 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 Mauliana, Dinda Maulindar, Joni Mawarni, Dinda Rima Mutmainah Melani Setiowati Muhtarom, Moh Nasrun Hidayat, Nasrun Naveed, Mubshair Nia Kurnia Niken Pratiwi, Niken Nofikasari, Indah Nofrianti Nofrianti Noor Erma Sugijanto Noordi, Daffa Rizki Putra Nunuk Aries Nurulita Nur Rohmani, Mayda Nurcholifah, Lilik Nurlaili, Dewi Nurmalitasari Nurmalitasari Nurwijayanti Oktaviani, Intan Permana, Aditya Candra Permatasari, Hanifah Permatasari, Indah Sartika 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 Sabikis Sabikis, Sabikis Sagala, Agus Junianto Sajidan Santika, Dita Santosa, Tri Djoko Saputra, Rafi'i Dwi Saputro, Nurbagus Sekar, Lola Shella Diana Oktaviani, Shella Diana Sopingi SRI SUMARLINDA Sudarso Sudarso Sugiarto, Muhammad Aqsha Rizki Sugijanto, Noor Erma N Sundari Sundari Supriyanto, July Suryani, Fajar Sutopo Sutopo Syah Putri, Tina Syawaludin, M Ainur Tatik Mulyati Theo Santoso, Daniel Tjiptasurasa Tjiptasurasa, Tjiptasurasa Tri Utami Kurniawati, Elizabeth Triyo Nova, Triyo Unik Fajriyah, Unik Vihi Atina Wahyu Utaminingrum Wardani, Eunike Rindayu Pradnya Paramitya Wardani, Tri Kusuma Widya Cahya Ariswati, Widya Cahya Wijanarko, Restu Gilang Wiranti Sri Rahayu Wongso, Suwidji Yulianingsih, Nur Yulianti , Henti Zaenuar Erfandi