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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 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

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PENERAPAN ALGORITMA APRIORI UNTUK POLA PEMBELIAN BERAS PADA UD. BORIMIN Hartanti, Dwi; Oktaviani, Intan; Nofikasari, Indah
Jurnal Penelitian dan Pengabdian Kepada Masyarakat UNSIQ Vol 7 No 3 (2020): September
Publisher : Lembaga Penelitian, Penerbitan dan Pengabdian Masyarakat (LP3M) UNSIQ

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32699/ppkm.v7i3.1383

Abstract

UD. Borimin merupakan salah satu usaha yang bergerak dalam bidang penjualan beras. Banyak jenis merk beras yang dijual oleh UD. Borimin. Transaksi penjulan dalam sehari cukup banyak yang dapat dilihat pada nota atau kwitansi penjualan beras. Data transksi penjulaan dapat dilihat beras yang sering dibeli konsumen. Tujuan penelitian ini adalah pemodelan Association rule untuk mengetahui pola pembelian merk beras. Algoritma Apriori di gunakan untuk pembuktian pemodelan Association Rule. Metode pengembangan sistem Extreme Programming (XP) dengan tahapan perencanaan dan perancangan. Penelitian ini menggunakan data sebanayak 563 transaksi dengan minimun support 30% dan confidence 70%. Hasil penelitian didapatkan kombinasi 2 itemset didapatkan 5 kombinasi itemset dan kombinasi 3 itemset sebanyak 3 kombinasi itemset. Hasil final asosiasi didapatkan 17 kombinasi merk beras berdasarkan pola pembelian beras.
The Potential Roles of Jamu for COVID-19: A Learn from the Traditional Chinese Medicine Hartanti, Dwi; Dhiani, Binar Asrining; Charisma, Shintia Lintang; Wahyuningrum, Retno
Pharmaceutical Sciences and Research Vol. 7, No. 4
Publisher : UI Scholars Hub

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Abstract

As the pandemic of the coronavirus disease 2019 (COVID-19) continues while there is no drug and vaccine available, every effort to discover one should be considered. This review aimed to discuss the potential use of jamu, the Indonesian traditional herbal medicine, to deal with COVID-19 by following those of more-established traditional Chinese medicine (TCM). The online literature search using the PubMed database, as well as the circulars from the Indonesian Ministry of Health, were carried out to collect data up to June 07, 2020. The use of TCM for the treatment and prevention of COVID-19 has been officiated in the Chinese National Clinical Guideline on COVID-19 Associated Pneumonia, with shen-fu-tang + su-he-xiang pill and xiang-sha-liu-junzi- tang as the most frequently suggested formulae to treat severe and recovery stages of COVID-19, respectively. In Indonesia, the highly promoted product for the prevention of this disease is likely the adaptation of a TCM formula, while the use of some other formulae, which mainly containing Zingiberaceae, is suggested by the Government for the said purpose. The rationalization of the use of medicinal plants and suggested polyherbal formulae, based on their available pharmacological activity and the bioactive compounds, is also discussed in this review. The use of jamu for COVID-19, however, needs to be carefully considered for the limited scientific data available to support it.
Isolation of Pandangolide 1 from Cladosporium oxysporum, An Endophyte of the Terrestrial Plant Alyxia reinwardtii Hartanti, Dwi; Purwanti, Diah Intan; Putro, Herdayanto Sulistyo; Rateb, Mostafa Ezzat; Wongso, Suwidji; Sugijanto, Noor Erma; Ebel, Rainer; Indrayanto, Gunawan
Makara Journal of Science Vol. 18, No. 4
Publisher : UI Scholars Hub

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Abstract

that the 2011 IOD was a weak and short-lived event. It developed in July, peaked in September, decayed in October and
EXAMINING EFFECTIVENESS OF MANAGEMENT CONTROL SYSTEM WITHIN INDONESIAN ANTI-CORRUPTION AGENCY: A LEVERS OF CONTROL PERSPECTIVE Amelia, Lia; Hartanti, Dwi
Jurnal Ilmiah Manajemen, Ekonomi, & Akuntansi (MEA) Vol 7 No 2 (2023): Edisi Mei - Agustus 2023
Publisher : LPPM STIE Muhammadiah Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31955/mea.v7i2.3068

Abstract

his study aims to evaluate the effectiveness of the Management Control System (MCS) in mitigating dysfunctional behavior within Institution X, an Indonesian Anti-Corruption Agency. Drawing on the Levers of Control (LoC) theory, specifically emphasizing belief and boundary systems, the research investigates how the MCS effectively addresses and mitigates dysfunctional behavior that hampers organizational performance. Primary data were collected through a questionnaire administered to 34 budget users at the work unit level. Rigorous paper-check analysis and data triangulation, including interviews with specialists and Echelon III officials, were conducted to ensure the validity of the findings. The results highlight a noticeable divergence in perception between budget users and management regarding the effectiveness of the MCS. While budget users perceive the MCS as effective, management expresses concern about its ability to address dysfunctional behavior adequately. Additionally, the study reveals a recurring pattern of year-end spending spikes (YESS) over the past five years, indicating a potential correlation between myopic behavior and suboptimal planning. Blurred strategic boundaries within Institution X also contribute to dysfunctional behavior. These findings underscore the need to enhance the MCS's effectiveness in mitigating dysfunctional behavior and optimizing organizational performance. Based on the empirical evidence, it can be concluded that the current state of the MCS in Institution X meets basic user requirements but falls short of mitigating dysfunctional behavior and supporting management in achieving organizational goals. This study sheds light on the challenges associated with the MCS's effectiveness and provides actionable insights for enhancing management control systems within similar contexts
SOSIALISASI PENTINGNYA MENABUNG PADA ANAK-ANAK USIA DINI DI TK DARUL FALAH 10 SAMARINDA Ardiana, Reni; Aslindah, Andi; Agustina, Rinawati; Hartanti, Dwi
Jurnal Pengabdian Kreativitas Pendidikan Mahakam (JPKPM) Vol. 4 No. 1 (2024): Juni
Publisher : Fakultas Keguruan dan Ilmu Pendidikan Universitas Widya Gama Mahakam Samarinda

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Abstract

Pengabdian masyarakat ini dilakukan oleh Dosen dan Mahasiswa Fakultas Keguruan Dan Ilmu Pendidikan dalam rangka memberi sosialisai pentingnya menabung pada anak usia dini di TK Darul Falah 10 Samarinda. Tujuan dengan diadakannya sosialisasi ini dapat memberi pemahaman menabung sejak dini dan apasaja manfaat menabung untuk masa depan dan menumbuhkan kesadaran kepada anak – anak untuk menyisihkan sebagian uang jajan untuk ditabung. Kebiasaan menabung akan lebih baik jika mendapatkan dorongan atau motivasi dari orang tua mereka. Hasil dari pengabdian masyarakat ini diharapkan anak- anak usia dini khususnya di TK Darul Falah 10 lebih paham dan mengerti akan pentingnya menabung . Di dalam kegiatan sosialisasi ini materi yang diberikan antara lain : anak-anak dijelaskan dahulu tentang apa itu menabung, kedua pentingnya menabung, ketiga manfaat menabung , keempat keuntungan dari menabung, dan kelima bagaimana cara agar kita bisa menabung.
Analysis Of The Implementation Of Material Flow Cost Accounting At Pt Xyz (Car Manufacturer) Ferdinand Munthe, Hans; Hartanti, Dwi
International Journal of Science, Technology & Management Vol. 5 No. 4 (2024): July 2024
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v5i4.1126

Abstract

This research discusses implementation analysis Material Flow Cost Accounting (MFCA) at PT XYZ which is one of the car manufacturers in Indonesia. The formulation and aim of this research is to analyze potential calculations material loss and material waste produced by the method Material Flow Cost Accounting (MFCA) and evaluate management's response to management material loss and material waste from the calculations carried out. The research method used is quantitative descriptive method and case study. Resource persons in this study include: 1) Press Shop Manager 2) Body Shop Manager 3) Paint Shop Manager and 4) General Assembly Shop Manager. The data used includes primary data collected by observation and interviews. The data analysis method is carried out through five implementation stages Material Flow Cost Accounting (MFCA) in ISO 14051 and thematic analysis from sources as well as drawing conclusions and recommendations. The research results show that with implementation Material Flow Cost Accounting (MFCA) PT XYZ is able to map all material flows in detail and provide information regarding waste that can be used to increase efficiency and support environmental sustainability in the car production process.
Standardization of Ginger and Javanese Turmeric Crude Drugs and Total Flavonoid and Phenolic Content Profiles of Their Combination Hartanti, Dwi; Hamad, Alwani
JRST (Jurnal Riset Sains dan Teknologi) Volume 8 No. 2 September 2024: JRST
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrst.v8i2.22635

Abstract

A combination of ginger (Zingiber officinale Roscoe) and Javanese turmeric (Curcuma zanthorrhiza Roxb.) rhizomes is used by Baturraden, Central Java, people to treat an ailment called masuk angin. This study aimed to evaluate the quality profile of ginger and Javanese turmeric crude drugs and determine the total flavonoid content (TFC) and the total phenolic content (TPC) of combinations of both crude drugs in five different weight ratios. Standardization of crude drugs used parameters, methods, and standards of the compendial Indonesian Herbal Pharmacopeia (IHP). Ginger crude drugs met the standard in parameters of morphology, loss on drying, acid-insoluble ash, ethanol extractable, and water extractable, while morphology and values of loss on drying, acid-insoluble ash, ethanol extractable, water extractable, and volatile content of Javanese turmeric were within their respective specifications. The TFC of Javanese turmeric is lower than that of ginger, but the opposite trend was observed for TPC. The crude drug weight ratio significantly affected the TFC and TPC of the ginger and Javanese turmeric combination. The combination with the highest TFC and TPC was Formula IV (7.11±0.37 mg Quercetin equivalent (QE)/g) and Formula II (21.65±1.49 mg Gallic acid equivalent (GAE)/g), respectively.  Our study suggested that ginger and Javanese turmeric crude drugs were not of good quality, and their mixture in weight ratio of 25-75 provided the highest TPC warrant for further bioactivity evaluations.
PROTOTIPE SISTEM PAKAR UNTUK DIAGNOSIS PENYAKIT INFEKSI SALURAN PERNAPASAN (ISPA) MENGGUNAKAN METODE CERTAINTY FACTOR Mandiri, Puput Dwi; Hartanti, Dwi; Sari, Aprilisa Arum
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 7 No 2 (2024): Jurnal SKANIKA Juli 2024
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v7i2.3199

Abstract

Respiratory Tract Infection is a condition that triggers inflammation of the upper respiratory tract, such as the nose, throat, sinuses, and airways leading to the lungs. Symptoms such as runny nose, cough, sore throat, nasal congestion, sneezing, and fever appear. Because the symptoms are often similar to other diseases, people with respiratory infections are often unaware of their condition. For this reason, a system that can diagnose respiratory infection symptoms quickly and accurately is needed. By integrating biology and artificial intelligence (AI), a biotechnology expert system for respiratory tract infections was developed. The Certainty Factor method is used to assess the level of confidence in a symptom based on the beliefs of an expert. The system is designed for the general public to receive examination results in the form of percentages, which help identify whether the symptoms experienced fall into the category of sinusitis, pneumonia, pharyngitis, or asthma. The doctor's question feature as a development of the previous system, allows users to consult with doctors about the symptoms experienced. The test results that have been carried out show that the results are in accordance with manual calculations. In addition, the system accuracy test resulted in an accuracy value of 80%.
Komparasi Metode Decission Tree, Logistic Regression, SVM, dan ANN Dalam Klasifikasi Kualitas Air Hartanti, Dwi; Pradana, Afu Ichsan
SMARTICS Journal Vol 9 No 1 (2023): SMARTICS Journal (April 2023)
Publisher : Universitas PGRI Kanjuruhan Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21067/smartics.v9i1.8113

Abstract

Water is the most important part of human life because it is the source of human life and about 71% of the earth's area is water. Every human being has the human right to clean water which is a basis for the realization of a decent and dignified life for humans. Classification is one of the techniques in data mining. This study uses water quality data using four algorithmic methods, namely Decission Tree, Logistic Regression, SVM, and ANN. The aim of this research is to compare which method has the maximum accuracy value for water quality classification. The accuracy results obtained are the Decission Tree method of 60.19%, the Logistic Regression method of 62.80%, the SVM method of 68.59%, and the ANN method of 69.54%.
PROTOTYPE SISTEM REKOMENDASI WISATA KABUPATEN WONOGIRI MENGGUNAKAN KNOWLEDGE-BASED RECOMMENDATION Abdul Aziz, Fitroh Ahmad; Hartanti, Dwi; Suryani, Fajar
Infotech: Journal of Technology Information Vol 10, No 1 (2024): JUNI
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v10i1.245

Abstract

Wonogiri Regency is one of the regions that has been extensively developed into a tourist destination. The abundance of tourist destinations makes it difficult for prospective tourists to find destinations that meet their criteria. Therefore, it is necessary to develop a recommendation system that can help prospective tourists find tourist destinations that match their criteria. This research aims to build a tourist destination recommendation system using the knowledge-based recommendation method. The system development uses the Rapid Application Development (RAD) method, which consists of several stages including needs analysis, modeling/design, development and feedback collection, and implementation. This research is only conducted up to the system modeling/design stage to ensure that the designed system, including the database, template, and user interface design, can be completed and optimized first before proceeding to the next stage. Focusing on this modeling stage also provides an opportunity to thoroughly verify and validate the designed system. The knowledge-based recommendation system method provides recommendations based on the similarity value between the attribute values desired by the user and the attribute values in the database. In this study, the recommendation system for tourist destinations in Wonogiri Regency uses 5 attributes of tourist destinations, namely tourism category, ticket price, location (sub-district), rating, and facilities. Based on the similarity calculation using 11 sample tourist destination data, the system provides a tourist destination recommendation that matches the user's chosen criteria with a similarity value of 0.893 for Goa Resi. The results of this knowledge-based recommendation modeling can serve as a reference in the development of a tourist destination recommendation system.ABSTRAKKabupaten Wonogiri adalah salah satu daerah yang banyak dikembangkan menjadi destinasi wisata. Banyaknya destinasi wisata tersebut menyebabkan kesulitan bagi calon wisatawan dalam mencari destinasi wisata yang sesuai dengan kriteria yang mereka inginkan. Oleh Karena itu perlu dikembangkan sebuah sistem rekomendasi yang dapat membantu calon wisatawan dalam menemukan destinasi wisata yang sesuai dengan kriteria yang mereka inginkan. Penelitian ini bermaksud membangun sistem rekomendasi destinasi wisata menggunakan metode knowledge based recommendation. Pengembangan sistem ini menggunakan metode pengembangan Rapid Development Application (RAD) yang terdiri dari beberapa tahapan antara lain analisis kebutuhan, tahapan pemodelan/desain, pengembangan dan pengumpulan feedback, implementasi. Penelitian ini hanya dilakukan sampai pada tahap pemodelan/desain sistem bertujuan untuk memastikan bahwa sistem yang dirancang, termasuk basis data, template, dan desain antarmuka, dapat diselesaikan dan dioptimalkan terlebih dahulu sebelum melanjutkan ke tahap berikutnya. Fokus pada tahap pemodelan ini juga memberikan kesempatan untuk melakukan verifikasi dan validasi menyeluruh terhadap desain sistem yang telah dibuat. Menggunakan metode sistem knowledge based recommendation yang dapat memberikan rekomendasi berdasarkan pada nilai similarity antara value atribut yang diinginkan user dengan value atribut pada database. Pada penelitian sistem rekomendasi wisata Kab. Wonogiri ini menggunakan 5 atribut dari destinasi wisata yaitu kategori wisata, harga tiket, lokasi (kecamatan), rating, fasilitas. Berdasarkan hasil perhitungan similarity menggunakan 11 data sampel destinasi wisata menghasilkan rekomendasi destinasi wisata berdasarkan dengan kriteria yang dipilih user dengan nilai similarity 0,893 dengan destansi wisata Goa Resi. Hasil pemodelan knowledge based recommendation ini dapat menjadi referensi dalam pengembangan sistem rekomendasi destinasi wisata.
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