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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 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

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Antimicrobial Activity of Fractions of Ethyl Acetate Extract of Cladosporium oxysporum, An Endophytic Fungus Derived from Alyxia reinwardtii Hartanti, Dwi; Supriyanto, July; Sugijanto, Noor Erma N
Jurnal Kefarmasian Indonesia VOLUME 6, NOMOR 1, FEBRUARI 2016
Publisher : Pusat Penelitian dan Pengembangan Biomedis dan Teknologi Dasar Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22435/jki.v6i1.3806

Abstract

The endophytic fungi Cladosporium oxysporum was isolated from medicinal plants Alyxia reinwardtii. The antimicrobial activity of fractions of ethyl acetate extract and also antioxidant and antimicrobial activities of fraction 7 of ethyl acetate extract of (AR-7) were determined in this study. Antimicrobial activity was determined by TLC bioautography and disc diffusion methods. Antioxidant activity was determined by TLC DPPH autography assay. The fractions of ethyl acetate extract of C. oxysporum at dose of 100 mg/ml were active as antimicrobial against S. aureus, E. coli and C. albicans in disc diffusion method test. Fraction AR-7 was active as antioxidant in TLC-DPPH autography assay. Fraction AR-7 was active as antimicrobial against S. aureus, but was not active against another tested microoorganisms in TLC-bioautography
Ethnomedicinal survey of traditional antidiabetic plants in Baturraden and Sumbang Utaminingrum, Wahyu; Nofrianti, Nofrianti; Hartanti, Dwi
MEDISAINS Vol 18, No 2 (2020)
Publisher : Universitas Muhammadiyah Purwokerto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/medisains.v18i2.7169

Abstract

Background: The scientific-based jamu development program enables the development of medicinal plants in the traditional medicine system that eventual-ly can be used in the formal healthcare system. Baturraden and Sumbang are considered as areas with abundant plant biodiversity in Java, where the local community has used those plants for medicinal purposes.Objective: This study is conducted to qualitative and quantitatively record and conserve the knowledge of the Baturraden and Sumbang community on the utilization of plants for treating diabetes mellitus.Method: The data of the plant’s local names, plant organs, methods of prepara-tion, and routes of administration of the herbal preparations used for treating diabetes mellitus were collected through semi-structured interviews with 97 informants. The species use-value (SUV), the relative frequency of citation (RFC), and fidelity level (FL) of each species were calculated accordingly to determine their relative importance and value to the local community.Result: There were 11 plant species from 10 families mentioned. The most commonly used plant organ, preparation method, and administration route were leaves, decoction, and oral, respectively. The most important and valuable plants were including Piper ornatum (SUV = 0.19, RFC = 0.13, FL = 23.09%) and An-drographis paniculata (SUV = 0.09, RFC = 0.07, FL = 42.86%).Conclusion: As the most critical antidiabetic plant in the studied area, the decoction or infusion of Piper ornatum leaves is taken orally 1-2 times a day. However, there are no reports on its anti-diabetic-related activities available to date. In contrast, the uses of Andrographis paniculata as the antidiabetic agent has been widely proven. Baturraden and Sumbang people orally consumed the decoction of this plant’s leaves once a day for the said purpose
Prediksi Kelulusan Mahasiswa Pendidikan Kimia Universitas Sebelas Maret Dengan Metode Naive Bayes Rahman, Agung Dwi; Ichsan Pradana, Afu; Hartanti, Dwi
Jurnal Pendidikan dan Teknologi Indonesia Vol 4 No 11 (2024): JPTI - November 2024
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.501

Abstract

Keberhasilan akademik mahasiswa, khususnya ketepatan waktu kelulusan, merupakan indikator penting dalam evaluasi kinerja institusi pendidikan tinggi. Termasuk di dalamnya Pendidikan S1 Kimia Universitas Sebelas Maret yang tingkat kelulusan mahasiswa tepat waktu lebih sedikit dari pada mahasiswa yang lulus terlambat. Penelitian ini bertujuan mengembangkan model prediksi kelulusan mahasiswa menggunakan metode Naive Bayes dengan analisis statistik komprehensif. Data yang digunakan mencakup 225 rekam akademik mahasiswa periode 2017-2019 dengan variabel meliputi indeks prestasi semester, indeks prestasi kumulatif, status beasiswa, jenis kelamin, dan jalur masuk. Metode penelitian menggunakan preprocessing data dengan menghilangkan data yang tidak lengkap dan normalisasi min-max scaling, dengan kombinasi Gaussian dan Multinomial Naive Bayes. Hasil penelitian menunjukkan model mencapai akurasi 80,65% dengan sensitivity 100%, specificity 70%, dan Area Under Curve 0,868. Indeks prestasi semester 7 dan 8 diidentifikasi sebagai prediktor terkuat dengan perbedaan mean signifikan antara kelulusan tepat waktu dan terlambat. Penelitian ini memberikan kontribusi metodologis dalam pengembangan sistem peringatan dini akademik yang dapat meningkatkan kelulusan tepat waktu.
Desain dan Implementasi Sistem Pemantauan Stok Barang Berbasis IoT untuk Produk Segar Hartanto, Didik Mayur; Hartanti, Dwi; Maulindar, Joni
Jurnal Pendidikan dan Teknologi Indonesia Vol 4 No 11 (2024): JPTI - November 2024
Publisher : CV Infinite Corporation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jpti.504

Abstract

Efisiensi pengelolaan stok barang dagangan menjadi tantangan penting dalam operasional toko kecil, toko kelontong, dan swalayan. Kekosongan atau kelebihan stok dapat menyebabkan kerugian finansial, penurunan kualitas layanan, serta potensi kerusakan barang, terutama pada produk segar. Pemantauan stok secara manual seringkali tidak efektif dan rawan kesalahan. Untuk mengatasi masalah ini, penelitian ini menyajikan sistem pemantauan ketersediaan stok berbasis Internet of Things (IoT) yang memanfaatkan sensor berat untuk mendeteksi perubahan stok produk secara real-time. Sistem dirancang dengan mengikuti model pengembangan Waterfall, dimulai dari tahap analisis kebutuhan, perancangan perangkat keras dan lunak, implementasi, pengujian, hingga evaluasi pemeliharaan. Mikrokontroler ESP32 digunakan sebagai pengolah data dari sensor berat, yang kemudian dikirimkan ke platform IoT melalui aplikasi Blynk untuk memberikan notifikasi otomatis saat stok mulai menipis. Data dapat diakses melalui perangkat pintar untuk memastikan pengisian ulang stok dilakukan tepat waktu. Berdasarkan pengujian, sistem ini mampu meningkatkan efisiensi pengelolaan stok hingga 30% dibandingkan metode manual, mengurangi risiko kekosongan dan kelebihan stok, serta meminimalkan kerusakan atau pembusukan pada produk segar. Penelitian ini berkontribusi signifikan terhadap pengembangan teknologi IoT, khususnya dalam manajemen stok barang dagangan, dengan mendukung efisiensi operasional toko kecil dan swalayan serta meningkatkan kepuasan pelanggan melalui penyediaan produk segar sesuai permintaan.
Pemodelan Sistem Pemilihan Tempat POI Terdekat di Wilayah Klaten Kota Menggunakan Metode Dijkstra oleh PT. Telkom Klaten Kusumawati, Erlina Kumala; Hartanti, Dwi; Santosa, Tri Djoko
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3063

Abstract

The Point of Interest (POI) represents a specific geographic location defined by its coordinates, including longitude and latitude, and holds value as a site of interest or utility. Examples of POIs include tourist attractions, hotels, restaurants, ATMs, pharmacies, health centers, retail shops, gas stations, and other categories integral to modern navigation systems. PT. Telkom Klaten has faced increased demands to conduct POI surveys efficiently, driven by advancements in technology that call for faster and more streamlined processes. A primary challenge in these surveys is the selection of an optimal route that minimizes time, costs, and fuel consumption, given that the company currently relies on manual input in Google Maps to determine distance and travel time. This manual approach may hinder survey efficiency and increase operational costs. To address this, an application employing the Dijkstra algorithm was developed to determine the shortest route effectively. The Dijkstra algorithm, known for selecting edges with minimal weight to connect sequential nodes, requires defined origin and destination points, thereby generating the most efficient route between them. This study applies the Dijkstra algorithm to optimize survey routes by modeling them as graph-based routes, aiming to identify the shortest and most efficient paths between multiple POI locations. The findings indicate that the Dijkstra algorithm significantly reduces travel distance and time, thereby achieving notable savings in fuel and operational time for POI surveys.
Pemodelan Sistem Rekomendasi Pemilihan Paket Internet IndiHome Menggunakan Metode Knowledge Lestari, Fany; Hartanti, Dwi; Hasanah, Herliyani
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 9 No 1 (2025): JANUARI-MARET 2025
Publisher : Lembaga Otonom Lembaga Informasi dan Riset Indonesia (KITA INFO dan RISET)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v9i1.3065

Abstract

As time goes by, the internet has become a basic human need. There are various internet service providers with various and interesting products. Each internet service provider has its own advantages and disadvantages. This makes customers confused about choosing a suitable internet package to use to support their activities. The Indihome internet package selection recommendation system uses a knowledge-based method and is designed to help users choose an internet package that suits their needs. This knowledge based method is based on existing knowledge. The use of a knowledge base is easy for users to understand and makes it possible to produce recommendations that suit user needs. It is hoped that the results of this system can be used as a consideration for consumers in making decisions regarding selecting the internet service package to be used and increasing customer satisfaction.
Isolation, identification, phytochemical screening, and antibacterial activity of Aspergillus sp. MFD-01, an endophytic fungus derived from Mesua ferrea Hartanti, Dwi; Andestia Sinaga, Risda Yunita; Djalil, Asmiyenti Djaliasrin; Wahyuningrum, Retno
Pharmaciana Vol. 8 No. 2 (2018): Pharmaciana
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/pharmaciana.v8i2.10009

Abstract

We have successfully isolated and identified endophytic fungi from medicinal plant Mesua ferrea L. grown at Banyumas were for the first time. One of those fungi was MFD-01. In this study, we report the isolation, identification, antibacterial activity, and phytochemical screening of Aspergillus sp. MFD-01. The endophytic fungus was isolated from the leaves of M. ferrea by subsequent inoculation on potato dextrose agar (PDA). The identification was based on its morphology and ITS-DNA sequence. The antibacterial activity was determined by dilution method. The identification of compounds in ethyl acetate extract of it was conducted according to the standart phytochemical screening method. MFD-01 was identified as Aspergillus sp. MFD-01. The ethyl acetate extract of Aspergillus sp. MFD-01 inhibited the growth of both Staphylococcus aureus, and Escherichia coli. At concentration of 1000 ppm, its diameter of inhibitory zone against those bacteria was 10.53 and 11.84, respectively. The extract contained flavonoids, alkaloids, saponins, terpenoids, and tannins, which might responsible for its antibacterial activity against both tested bacteria.
Pemodelan Analisis Sentimen Pada Ulasan Produk Toko Online By_andwe Dengan Algoritma Lexicon Ridwan, Avin Nolis; Hartanti, Dwi; Sumarlinda, Sri
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 13, No 4 (2024): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v13i4.6874

Abstract

Saat ini kegiatan berbelanja online menjadi hal biasa bagi kebanyakan manusia. Hal ini membuat segala kebutuhan manusia dapat terpenuhi dengan efektif dan efisien. Namun, dibalik manfaat positif yang diberikan, terdapat juga hal negatif yang dirasakan. Maraknya penipuan yang dilakukan oknum penjual online membuat banyak calon pembeli menjadi jauh lebih selektif, hal ini berpotensi mengurangi niat beli. 75% pembeli online selalu melakukan investigasi ke toko bersangkutan sebelum melakukan pembelian. Ketidakpercayaan pembeli menjadi tantangan serius bagi seller online untuk dapat mengevaluasi layanan yang diberikan. By_andwe merupakan salah satu toko online yang terkena dampak. Penjualan yang cenderung stagnan, persaingan dengan toko online besar, hingga kesulitan mengevaluasi kinerja toko menjadi masalah yang kini dihadapi. Penelitian dilakukan untuk mengatasi permasalahan dengan menganalisis sentimen ulasan produk dengan algoritma lexicon. Metode lexicon pada penelitian ini menggunakan kamus InSet  lexicon berbahasa Indonesia. Tahapan penelitian yang dilakukan adalah pengambilan data, pre-processing data, pelabelan data, dan pengembangan sistem menggunakan waterfall. Hasil analisis sentimen menunjukan nilai positif sebesar 79.64%, negatif sebesar 15%, dan netral sebesar 5.36% dengan nilai akurasi sebesar 84.2% dari total 280 data ulasan. Pemodelan desain menggunakan UML dengan cakupan use case dan activity diagram yang hanya berfokus pada proses sentimen, serta ditambahkan dengan beberapa rancangan interface untuk sistem.Kata Kunci – Toko Online; Analisis Sentimen; Algoritma Lexicon; InSet Lexicon; Waterfall
Analisis Sentimen Pengguna Aplikasi Udemy dengan Menggunakan Metode Naïve Bayes Susanto, Joko; Hartanti, Dwi; Nurmalitasari, Nurmalitasari
Smart Comp :Jurnalnya Orang Pintar Komputer Vol 13, No 4 (2024): Smart Comp: Jurnalnya Orang Pintar Komputer
Publisher : Politeknik Harapan Bersama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30591/smartcomp.v13i4.6884

Abstract

Berkembangnya pembelajaran online telah memungkinkan lebih banyak orang untuk belajar dalam berbagai bidang tanpa batasan waktu atau tempat. Banyak pengguna memilih Udemy, sebuah platform yang menawarkan berbagai kursus online dalam berbagai bidang seperti bahasa asing, teknologi, desain, dan bisnis. Penelitian memeiliki tujuan untuk menerapkan algoritma Naive Bayes dalam sistem analisis sentimen pada komentar pengguna yang terkait dengan aplikasi Udemy untuk menilai apakah pengalaman belajar di Udemy memenuhi harapan pengguna atau tidak. Pemilihan algoritma Naive Bayes karena mudah digunakan dan efisien, serta dapat menghasilkan hasil yang baik pada dataset yang kecil. Proses analisis ini melibatkan pengumpulan data komentar pengguna, pra-pemrosesan teks untuk membersihkan dan menormalkan data, dan kemudian menerapkan algoritma Naive Bayes serta mengelompokan komentar menjadi positif, negatif, atau netral. Diharapkan analisis ini akan meningkatkan pemahaman tentang bagaimana pengguna menilai dan merespons kursus online pada aplikasi Udemy. Studi ini juga dapat membantu pengembang platform pendidikan lainnya mengoptimalkan layanan mereka berdasarkan umpan balik pengguna. Studi ini mengklasifikasikan sentimen menjadi tiga jenis: positif, netral, dan negatif, dan tingkat akurasi keseluruhan yang diperoleh adalah 75.61% untuk train-test split 10%, 71.78% untuk train-test split 20%, dan 70.49% untuk train-test split 30%.
Preservation Potential and Microbial Growth Inhibitory Effect Of Galangal (Alpinia galanga (L.) Willd.) And Lemongrass (Cymbopogon citratus (DC.) Stapf) Oils And Extracts On Chicken (Gallus domesticus) Fillets Hartanti, Dwi; Pradani, Dea Yulinestria; Nurlaeli, Eli; Fadlilah, Intan Nur; Syah Putri, Tina; Djalil, Asmiyenti Djaliasrin; Hamad, Alwani
Media Farmasi Vol 20 No 2 (2024): Media Farmasi Edisi Oktober 2024
Publisher : Jurusan Farmasi Poltekkes kemenkes Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32382/mf.v20i2.993

Abstract

Galangal (Alpinia galanga (L.) Willd.) and lemongrass (Cymbopogon citratus (DC.) Stapf) are spices known for their antimicrobial activity and potentially developed into a natural food preservative. This study evaluated the potential development of galangal and lemongrass oils and extracts for natural food preservatives. The essential oils and water extracts of galangal and lemongrass were obtained by water and steam distillation and infusion methods, respectively. Chicken fillets were immersed in three concentrations of galangal and lemongrass oils and extracts, with sterile water as the control. The fillets were tightly closed, kept in the refrigerator for 15 days, and evaluated for their preservation potential and microbial inhibitory activity on days 3, 6, 9, 12, and 15. The chicken fillet preservation potential was evaluated by comparing the time spoilage signs started to be observable in the control and treatment groups. The percent of microbial growth inhibition (%MI) was calculated from optical density (OD) and was used as the antimicrobial activity parameter. The %MI was analyzed by two-way ANOVA at α=0.05. Treatment and storage time significantly affected %MI. Galangal extracts at 10 and 20% delayed rancid odor, off-texture, and slime formation for nine days. Microbial growth inhibitory activity was shown by galangal oil at 0.25, 1.25, and 6.25 mg/ml and galangal extract at 20%. In conclusion, galangal extract at 20% was the most promising sample potentially developed into a natural chicken fillet preservative.
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