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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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Sentiment Analysis of Joglo Wifi UMKM Service with Naive Bayes Method Fathurahman, Jofan; Hartanti, Dwi; Sopingi
Jurnal Inotera Vol. 9 No. 2 (2024): July - December 2024
Publisher : LPPM Politeknik Aceh Selatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31572/inotera.Vol9.Iss2.2024.ID379

Abstract

In today's digital era, many businesses face challenges in managing and responding to customer feedback and suggestions contained in comments. Joglo Wifi Corner UMKM Business Center & Coffee experiences similar difficulties, where the lack of customer feedback management negatively impacts service quality and customer satisfaction. In this study, we aim to develop and implement a sentiment analysis system that is able to classify customer sentiment into positive, negative, or neutral. The process begins with data collection. customer comments from the official Joglo Wifi Corner website, which are then processed through a preprocessing stage including tokenization, stop word removal, and lemmatization. Then, a Logistic Regression Naive Bayes model is drilled using the processed data to classify sentiment. The evaluation results show that this system achieves an accuracy of 91.67%, with an average precision of 0.646, an average recall of 0.805, and an average F1-Score of 0.701. The implementation of this system provides valuable insights for Joglo Wifi Corner managers in making strategic decisions to improve service quality. By responding more effectively to customer feedback, Joglo Wifi Corner promises that this research can improve customer satisfaction and expand the company's market coverage and identify areas for improvement based on customer feedback, thereby strengthening customer relationships. This approach also uses Agile Development system development methodology to ensure iterative and responsive development to changing user needs.
The Effect of Infusion of Syzygium polyanthum (Wight) Walp. Leaves as Natural Preservative Chicken Meats Hartanti, Dwi; Djalil, Asmiyenti Djaliasrin; Hamad, Alwani; Yulianingsih, Nur
Jurnal Kefarmasian Indonesia VOLUME 9, NOMOR 1, FEBRUARI 2019
Publisher : Pusat Penelitian dan Pengembangan Biomedis dan Teknologi Dasar Kesehatan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22435/jki.v9i1.1100

Abstract

Syzygium polyanthum (Wight) Walp. (Indonesian bay leaf) is known for possessing antimicrobial activity that might be applied for natural food preservative. In this study, we analyzed the constituents of infusion of S. polyanthum leaves and evaluated its potency as the preservative of fresh chicken meats. The infusions were prepared with the method described in Indonesian Pharmacopeia. Phytochemical content of infusion of S. polyanthum leaves was analyzed by qualitative phytochemical screening using colorimetric methods. Its application for preservative of fresh chicken meat was evaluated based on its activity in inhibiting the growth of bacteria on the meats as well as the physical observation of the preserved meats. The infusion of S. polyanthum leaves contained flavonoids, tannins, and saponins. The infusion at the optimum concentration of 10% was capable of inhibiting bacterial growth on chicken meats and extending their shelf life up to 3 days in temperature of 3-7ºC.
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.
Identifikasi Kesehatan Daun Tanaman Padi Menggunakan Klasifikasi Biner Sehat dan Tidak Sehat dengan Algoritma Convolutional Neural Network (CNN) Di Kabupaten Klaten Azizah, Shelvi; Pradana, Afu Ichsan; Hartanti, Dwi
Komputika : Jurnal Sistem Komputer Vol 13 No 2 (2024): Komputika: Jurnal Sistem Komputer
Publisher : Computer Engineering Departement, Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/komputika.v13i2.12771

Abstract

Rice is a vital food crop in Indonesia, where Klaten has become one of the main rice suppliers with a production achievement of 101 thousand tons in 2020. However, the challenge faced is the attack of diseases such as blast, leaf blight, and bacterial wilt which can result in huge losses in yield if not handled effectively. To address this issue, research was conducted using Convolutional Neural Network (CNN), an algorithm commonly used for image processing. In this study, the process involved two main stages namely Feature Extraction and Fully Connected Layer, utilizing a dataset of 2400 images categorized into healthy and unhealthy classes. The results show a very high level of accuracy, with the highest accuracy reaching 0.9653 and validation accuracy reaching 0.8125, as well as low loss with a total of 20 epochs. Through CNN technology, this research makes an important contribution to monitoring the health of rice plants in Klaten Regency, Indonesia, which is expected to help increase productivity and reduce crop losses.
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