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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
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PENGEMBANGAN APLIKASI MOBILE UNTUK MONITORING DETAK JANTUNG, SATURASI OKSIGEN DARAH, DAN SUHU TUBUH DENGAN INTEGRASI IOT MENGGUNAKAN ESP32 Pratama, Fandi Aziz; Pradana, Afu Ichsan; Hartanti, Dwi
Infotech: Journal of Technology Information Vol 10, No 1 (2024): JUNI
Publisher : STMIK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v10i1.244

Abstract

Healthy living is the desire of every human being. Maintaining health involves disease prevention as well as ongoing physical and mental care. Health parameters such as heart rate, blood oxygen saturation, and body temperature are important indicators of a person's physical and mental condition. A normal heart rate and oxygen levels are essential for efficient heart function, while body temperature can indicate a variety of health conditions. Currently, health checks are usually carried out by visiting health facilities such as hospitals, health centers, and so on, which are considered less effective because they take a lot of time. Although health checking tools such as pulse oximeters and digital thermometers are currently available, these tools can only display health information when used and the measurement data cannot be saved to a database for long-term monitoring. So, a health monitoring tool is needed that can be used personally to monitor the user's health periodically. In this research the author developed a mobile health monitoring application using the Dart programming language and the Flutter framework. This application is integrated with the MAX30102 oximeter sensor and MLX90614 temperature sensor via the Esp32 microcontroller with Bluetooth Low Energy (BLE) communication protocol. This system allows users to carry out personal health checks without being disturbed by daily routines, measurement data is displayed in real-time on the application and stored on the server for long-term monitoring. This research succeeded in developing a mobile IoT application with Esp32 to monitor heart rate, blood oxygen saturation and body temperature. Black box testing showed 100% success with measurement accuracy values of 95.55% for heart rate, 99.01% for oxygen saturation, and 99.269% for body temperature.ABSTRAKHidup sehat merupakan keinginan dari setiap manusia. Menjaga kesehatan melibatkan pencegahan penyakit serta perawatan fisik dan mental yang berkesinambungan. Parameter kesehatan seperti detak jantung, saturasi oksigen darah, dan suhu tubuh merupakan indikator penting kondisi fisik dan mental seseorang. Detak jantung dan kadar oksigen yang normal sangat penting untuk fungsi jantung yang efisien, sementara suhu tubuh dapat mengindikasikan berbagai kondisi kesehatan. Saat ini, pemeriksaan kesehatan biasanya dilakukan dengan mengunjungi fasilitas kesehatan seperti rumah sakit, puskesmas, dan sebagainya yang dinilai kurang efektif karena memakan banyak waktu. Meskipun saat ini tersedia alat pengecekan kesehatan seperti pulse oksimeter dan termometer digital, namun alat tersebut hanya dapat menampilkan informasi kesehatan ketika digunakan dan data hasil pengukuran tidak dapat disimpan ke database untuk dilakukan pemantauan jangka panjang. Maka, dibutuhkanlah alat pemantauan kesehatan yang dapat digunakan secara pribadi untuk memantau kesehatan pengguna secara berkala. Pada penelitian ini penulis mengembangkan aplikasi mobile monitoring kesehatan menggunakan bahasa pemrograman Dart dan framework Flutter. Aplikasi ini terintegrasi dengan sensor oksimeter MAX30102 dan sensor suhu MLX90614 melalui mikrokontroler Esp32 dengan protokol komunikasi Bluetooth Low Energy (BLE). Sistem ini memungkinkan pengguna melakukan pemeriksaan kesehatan secara pribadi tanpa terganggu rutinitas harian, data hasil pengukuran ditampilkan secara real-time pada aplikasi serta disimpan pada server untuk pemantauan jangka panjang. Penelitian ini berhasil mengembangkan aplikasi mobile IoT dengan Esp32 untuk memantau detak jantung, saturasi oksigen darah, dan suhu tubuh. Pada pengujian blackbox menunjukkan keberhasilan 100% dengan nilai akurasi pengukuran 95,55% untuk detak jantung, 99,01% untuk saturasi oksigen, dan 99,269% untuk suhu tubuh.
SISTEM MONITORING PENYIRAMAN TANAMAN TOMAT OTOMATIS BERBASIS IOT PADA PERKEBUNAN DI DESA SROYO MENGGUNAKAN APLIKASI BLYNK Putra, Enggar Wijaya; Pradana, Afu Ichsan; Hartanti, Dwi
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.v10i1.256

Abstract

Humans can make various devices as tools in various kinds of work and production, as tools that facilitate daily human activities, such as tools that can be used to water plants automatically. Therefore, it is necessary to develop an automatic watering device to overcome the problem of manual watering. The tool is expected to work automatically as needed. Therefore, the use of this tool is expected to facilitate the process of planting plants and improve the overall quality of plant care. This research intends to build an automatic tomato plant watering system using the prototype method in this research because it is a method that describes a structured system and must go through several processes in its creation. In this research the author makes a tomato plant monitoring application using Blynk, this application is connected to the soil moisture sensor and soil pH sensor through an ESP32 microcontroller connected to the internet. This monitoring tool allows users to observe remotely and the information provided is displayed in real time on the Blynk application. The result of this research is intended to find a more effective method of remote plant survey.ABSTRAKManusia dapat menjadikan berbagai perangkat sebagai alat dalam berbagai macam pekerjaan dan produksi, sebagai alat yang memudahkan aktivitas manusia sehari-hari, seperti alat yang dapat digunakan untuk menyiram tanaman secara otomatis. Oleh karena itu, perlu dikembangkan suatu alat penyiraman otomatis untuk mengatasi permasalahan penyiraman manual. Alat tersebut diharapkan dapat bekerja secara otomatis sesuai kebutuhan. Oleh karena itu, penggunaan alat ini diharapkan dapat mempermudah proses penanaman tanaman dan meningkatkan kualitas perawatan tanaman secara keseluruhan. Penelitian ini bermaksud untuk membangun sistem penyiraman tanaman tomat otomatis dengan menggunakan metode prototype pada penelitian ini karena merupakan metode yang menggambarkan suatu sistem yang terstruktur dan harus melalui beberapa proses dalam pembuatannya. Pada penelitian ini penulis membuat sebuah aplikasi monitoring tanaman tomat menggunakan Blynk, aplikasi ini terhubung dengan sensor kelembaban tanah dan sensor pH tanah melalui mikrokontroler ESP32 yang terhubung dengan internet. Alat pemantauan ini memungkinkan pengguna untuk mengamati dari jarak jauh dan informasi yang diberikan ditampilkan secara real time di aplikasi Blynk. Untuk hasil pengujian menunjukkan rata-rata ketelitian pengukuran kelembaban tanah sebesar 97,28% dan rata-rata ketelitian pengukuran pH tanah sebesar 97,59%. Hasil dari penelitian ini dimaksudkan untuk menemukan metode survei tanaman jarak jauh yang lebih efektif.
Sistem Informasi Pemesanan Gor Badminton Dengan Payment Midtrans Di Desa Waru: Sistem Informasi Pemesanan GOR Badminton Dengan Payment Midtrans Di Desa Waru Saputra, Rafi'i Dwi; Susanto, Rudi; Hartanti, Dwi
Jutis (Jurnal Teknik Informatika) Vol. 11 No. 2 (2023): Jutis (Jurnal Teknik Informatika)
Publisher : Universitas Islam Syekh Yusuf

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33592/jutis.v11i2.3972

Abstract

The Waru Village GOR has 3 fields and the scheduling is divided into 4 sessions. Customers who want to order GOR must come directly. This is considered less effective. Apart from that, there are schedule pile-ups. The rental money from customers is entrusted to the Gor guard, then the Gor manager takes the rent money at least once every three weeks. The aim of this research is to build a badminton game ordering system to make building management easier, in terms of ordering games and also payments that can be made online, so that payments made can be received directly by the building manager. This research uses 2 methods, namely the first method is a data collection method which includes observations and interviews, the second is a system development method using waterfall which has 5 stages, namely Requirement Analysis, System and software Design, Implementation and Unit Testing, Integration and System Testing, and Operation and Maintenance. The final result of this system is a badminton sports ordering system with payments that are integrated with Midtrans. This system can help admins in managing sports schedules, printing reports and payments which are directly received by the admin. Apart from that, admins can also share information related to sports with customers through the system. Customers are also helped by this system, namely customers no longer need to come to the gym directly. Customers can make field orders through the system and make payments through a system that is integrated with MidTrans. Customers can choose which bank they make payments with.
Efektivitas Internal Control over Financial Reporting (ICFR) pada project konstruksi perusahaan BUMN karya Farradhi, Muhammad; Hartanti, Dwi
Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Vol. 5 No. 7 (2023): Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan
Publisher : Departement Of Accounting, Indonesian Cooperative Institute, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32670/fairvalue.v5i7.3049

Abstract

This study explores how the BUMN Karya Company's building project team in Aceh implemented Internal Control over Financial Reporting (ICFR). This research is based on the many incidents of building project fraud by corporations, which affects financial statements that cannot provide peace of presentation. This study uses case studies and descriptive analysis to measure ICFR effectiveness using the Guidance for Smaller Public Companies Reporting on Internal Control over Financial Reporting (2006) and the COSO Framework. Interviews and BUMN Karya project team business process documents provided research data. The study concluded that the deployment of ICFR in three important business processes of the company based on withdrawals discovered two BUMN Karya project team business processes with an ICFR evaluation in the material weekness category and one in the control deficiency category. The investigation shows that the project construction team's business processes need modification for credible financial reports. Thus, this research can contribute to ICFR literature to ensure financial report secrecy.
Analysis of bank “X” business plan: Assessment of process appropriateness and evaluation of manager motivation Tri Utami Kurniawati, Elizabeth; Hartanti, Dwi
The Indonesian Accounting Review Vol. 14 No. 1 (2024): January - June 2024
Publisher : Universitas Hayam Wuruk Perbanas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/tiar.v14i1.3845

Abstract

The bank business plan is a short and medium term bank strategic planning tool that must be prepared by the bank annually. The bank business plan functions not only as a company strategic planning tool for internal purposes, but also as a compliance report to relevant government agencies. With these two different functions, managers have the task of ensuring that the information in the bank business plan meets government compliance and does not reduce the company’s superiority in the banking industry. Therefore, this research aims to evaluate the accuracy and suitability of the process in preparing the bank business plan and analyze the motivation for disclosing information in the bank business plan. This research is a pioneering study that evaluates the process of preparing a bank business plan from the perspective of the bank business plan as a strategic planning tool and relates it with an analysis of motivation to disclose information using the perspective of the bank business plan as a regulatory compliance tool. This research uses a case study method with Bank “X” as the unit of analysis. The results of this research indicate that the business plan preparation process at Bank “X” has met 80% of the appropriateness criteria for the strategic plan process. Meanwhile, the motivation to disclose information in Bank “X”’s business plan tends to indicate a signal of intent. This research also reveals several things that can improve the process of preparing a bank business plan and its benefits for Bank “X”.
Product Stock Supply Analysis System with FP Growth Algorithm Hartanti, Dwi; Atina, Vihi
Journal of Information System and Informatics Vol 5 No 4 (2023): Journal of Information Systems and Informatics
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v5i4.580

Abstract

This study explores the application of Data Mining in deciphering consumer purchasing patterns at Tani Heritage Shop, a retailer specializing in agricultural products. Facing the challenge of managing a high volume of daily sales transactions, the shop often encounters difficulties in tracking which products are frequently purchased together. This lack of insight leads to a critical issue: popular products running out of stock unexpectedly. To address this, the research focuses on developing a product stock supply analysis system, utilizing the FP Growth Algorithm. The FP Growth Algorithm, a powerful tool in Data Mining, is employed to analyze sales transaction data and identify consumer purchasing trends, particularly products bought simultaneously. This approach is designed to provide insights into optimal stocking strategies, ensuring the availability of in-demand products. The research methodology involves applying the FP Growth Algorithm to model the product stock supply system, using specific sales data attributes. The results of this study are significant. By setting parameters such as a minimum support value of 30%, a confidence value of 70%, and targeting the highest lift ratio value of 3.67, the research successfully derives several key association rules from the FP Growth algorithm. These rules are instrumental in optimizing the product stock supply analysis system.
Enhancing Sales Performance through ARIMA-Based Predictive Modeling: Insights and Applications Model Hartanti, Dwi; Permatasari, Hanifah
Journal of Information System and Informatics Vol 6 No 3 (2024): September
Publisher : Universitas Bina Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51519/journalisi.v6i3.816

Abstract

Gociko Snack, a Micro, Small, and Medium Enterprise (MSME), often faces significant challenges in managing its inventory due to the unpredictable nature of market demand. Accurate sales forecasting is crucial for Gociko Snack to optimize stock levels, reduce storage costs, and avoid out-of-stock or overstock situations. Traditional methods of sales prediction are often unable to cope with the dynamic and complex market environment in which Gociko Snack operates. in solving the case This research uses the ARIMA (AutoRegressive Integrated Moving Average) model for forecasting and application modeling using the CodeIgniter framework in a structured Waterfall system development methodology. Through rigorous testing and evaluation, the Mean Absolute Percentage Error (MAPE) was set at 9.18, which shows the effectiveness of the application in predicting sales trends with a high success rate. This research contributes valuable knowledge and practical solutions to empower businesses to navigate and utilize data-driven decision making for long-term success and resilience.
Sistem Inventaris Gudang Pada PT Mitra Kasih Perkasa Berbasis Web Setiawan, Jodi Apri; Hartanti, Dwi; Muhammad, Nibras Faiq
Innovative: Journal Of Social Science Research Vol. 4 No. 4 (2024): Innovative: Journal Of Social Science Research
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/innovative.v4i4.13929

Abstract

PT Mitra Kasih Perkasa merupakan suatu perusahaan dengan fokus linear pada perdagangan sistem digital khususnya ­e-parking. Dalam proses pengelolaan inventaris bisnisnya masih dilakukan pencatatan manual. Hal ini menjadi kendala bagi tim gudang dikarenakan perusahaan ini semakin berkembang sehingga inventaris instalasi maupun stok produk semakin bertambah jumlah yang mengakibatkan tidak efisiennya tim gudang. Dengan demikian, penelitian ini menggunakan pokok bahasan sistem informasi inventaris gudang. Menggunakan waterfall sistem Inventaris Gudang ini berbasis website dengan memiliki 2 hak akses admin dan manajer yang memiliki fitur mengelola jenis barang, mengelola barang, mengelola barang masuk dan keluar serta manajemen customer. Hal ini diharapkan sistem yang dikembangkan dapat menjadi jalan keluar bagi permasalahan dalam pengelolaan inventaris gudang PT Mitra Kasih Perkasa.
Prototipe Sistem Rekomendasi Film Indonesia Menggunakan Pendekatan Content Based Filtering dan Metode Vector Space Model Theo Santoso, Daniel; Atina, Vihi; Hartanti, Dwi
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 2 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i2.26083

Abstract

Film represents a combination of narrative and cinematographic aspects in an audio-visual form. Films also provide an engaging visual, auditory, and emotional experience. The film industry in Indonesia has shown significant growth. In 2015, cinema audiences numbered 16.2 million, increasing to 51.2 million in 2019. The COVID-19 pandemic caused a drastic decline in the number of viewers, with only 4.5 million in 2021. However, the industry quickly recovered, reaching 54.07 million viewers in 2022 and 55 million in 2023, and is projected to reach 60 million in 2024. With the increasing availability of films and streaming platforms, finding movies that match user preferences often becomes a challenge. This study proposes a film recommendation system using the Content-Based Filtering method and the Vector Space Model to help users more easily find movies that match their preferences. Content-Based Filtering recommends films based on content similarity, while the Vector Space Model measures content similarity using metrics such as cosine similarity or euclidean distance. Based on experiments using 20 sample films, the results show that the designed system can provide accurate and precise movie recommendations based on keywords provided by users. The film "Pengabdi Setan 2: Communion" has the highest similarity score of 0.3018, followed by "Nana," "Menjelang Magrib," "Jailangkung: Sandekala," and "Qorin," with similarity scores of 0.0865, 0.0138, 0.0136, and 0.0125, respectively
Penerapan Metode Dempster Shafer Pada Sistem Pakar Diagnosis Penyakit Kejiwaan Raharisti, Nur Arifah; Atina, Vihi; Hartanti, Dwi
Infotek: Jurnal Informatika dan Teknologi Vol. 7 No. 2 (2024): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v7i2.26123

Abstract

Mental illness is a condition where the sufferer has problems related to mental, physical, developmental and social disorders which can hinder the life process in interacting with the environment or other people properly. Limited mental health service facilities and a lack of understanding about mental illness often cause sufferers to ignore their condition, which can worsen their illness. From this problem, so it is necessary to have an expert system that can diagnose mental illness. This research aims to produce the design and development of an expert system for diagnosing mental illness so that it is able to overcome existing limitations and reduce the level of risk of mental illness. The Dempster Shafer method is used to assess the level of confidence in decision making regarding a disease by paying attention to each selected symptom value. This research produces an expert system that includes 28 symptom data and 5 disease data providing output in the form of diagnosis results, symptoms, the highest percentage of a disease and appropriate advice. This system has been tested with 15 test data, with an accuracy success rate of 86.6%.
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