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Aripriharta -

Universitas Negeri Malang

Author-ID : 2989751

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IMPLEMENTASI SMART AKUAPONIK DENGAN IOT UNTUK PERTANIAN PERKOTAAN YANG EFISIEN Sukmawan, Bijak Akbar; -, Aripriharta; Zaeni, lham Ari Elbaith; Faiz, Mohamad Rodhi; Susilo, Suhiro Wongso; Rahmadhani, Nur Aini Syafrina
Jurnal Informatika dan Teknik Elektro Terapan Vol 13, No 2 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i2.6377

Efisiensi kerja merupakan prioritas utama dalam masyarakat perkotaan, terutama di Indonesia, yang menghadapi tantangan penyusutan lahan pertanian akibat urbanisasi. Teknologi Internet of Things (IoT) menawarkan solusi untuk meningkatkan produktivitas dan efisiensi dalam budidaya akuaponik, sebuah metode yang menggabungkan budidaya ikan dan tanaman dalam sebuah ekosistem yang bersirkulasi. Penelitian ini mengembangkan sistem smart akuaponik berbasis IoT yang memungkinkan pemantauan dan kontrol real-time terhadap parameter penting seperti suhu dan pH air menggunakan sensor DS18B20 dan PH-4502C, dengan mikrokontroler ESP32 sebagai pengelola data. Data dari sensor disimpan di cloud melalui Google Firebase dan dapat diakses melalui perangkat pintar kapan saja dan di mana saja. Hasil pengujian menunjukkan sistem ini mampu memonitor suhu air dengan akurasi ±0.5°C dibandingkan dengan termometer air raksa, serta pH air dengan rentang 6.5-7.0 yang ideal untuk akuaponik. Solusi ini diharapkan dapat mendorong penerapan teknologi pintar untuk meningkatkan produktivitas pertanian perkotaan yang berkelanjutan.

Alat Pereduksi Lonjakan Starting Alat Listrik Pada Rumah Tangga Dengan Menggunakan Mikrokontroler Atmega8 dan Opto-Triac Nugroho, Andri; Aripriharta, Aripriharta; Wibawanto, Slamet; Faiz, Mohamad Rodhi; Faidzin, Ilham; Susilo, Suhiro Wongso
Jurnal Teknik Elektro dan Komputasi (ELKOM) Vol 7, No 1 (2025): ELKOM
Publisher : Universitas Muhammadiyah Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32528/elkom.v7i1.18515

Pada awal operasi, peralatan listrik mengalami lonjakan arus yang lebih besar dari arus nominalnya, terutama pada alat yang mengandung transistor dan gabungan rangkaian yang rentan terhadap tegangan transien akibat penyalaan awal. Lonjakan arus ini dapat merusak komponen elektronik seperti transistor dan gabungan rangkaian. Oleh karena itu, dibutuhkan alat yang dapat mengurangi dampak buruk dari arus transien ini, terutama pada saat beban puncak terjadi. Alat ini bekerja dengan menggunakan mikrokontroler ATMega8 dan opto-triac MOC3041, yang akan mengalirkan tegangan 220Vac ke beban secara aman. Alat pereduksi ini telah diuji pada lemari es "LG" berdaya 343 Watt, dan hasil pengujian menunjukkan bahwa alat ini dapat mengurangi lonjakan arus sebesar 31,52% dari arus sebelum penggunaan alat pereduksi. Alat pereduksi ini dirancang untuk skala rumah tangga 900VA dengan tegangan AC 220 Volt dan frekuensi 50 Hz. Selain itu, dalam penelitian ini juga dilakukan analisis terhadap arus transien sebelum dan setelah penggunaan alat pereduksi. Hasil analisis menunjukkan bahwa lonjakan arus transien yang terjadi saat peralatan listrik dihidupkan dapat mencapai puluhan kali lipat dari arus nominalnya. Selain itu, alat pereduksi yang dirancang pada penelitian ini juga memiliki fitur proteksi terhadap overcurrent dan overvoltage yang dapat menjaga keamanan peralatan listrik. Penelitian ini diharapkan dapat menjadi solusi untuk mengurangi kerusakan komponen elektronik akibat arus transien dan meningkatkan umur pakai peralatan listrik di rumah tangga.

Analysis of System Operation Optimization In Steam Power Plants with the Lagrange Method Aripriharta Aripriharta; Rafli Amirul Husain; Sujito Sujito; Mohamad Rodhi Faiz; Muchamad Wahyu Prasetyo; Arya Kusumawardana; Langlang Gumilar; Muhammad Afnan Habibi
Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Vol 11 No 1 (2024): Jurnal Ecotipe, April 2024
Publisher : Jurusan Teknik Elektro, Universitas Bangka Belitung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33019/jurnalecotipe.v11i1.4479

Steam Power Plant (PLTU) is a plant that relies on kinetic energy from hot steam to produce electrical energy. At the Paiton Power Plant, thermal energy is generated from burning a certain amount of coal. The use of coal-fired power plants still dominates most of the world's electricity supply. The optimal operation of electric power systems has grown in importance in recent years due to ever-increasing fuel costs. An electric power system basically consists of power generation units that aim to serve the needs of the load. Total production costs can be minimized by a combination of power loading on existing generating units so that an optimal load or more is obtained. This optimization process is called Economic Dispatch. Economic Dispatch has conducted a lot of research using various optimization methods. In this study, the optimization method to be used is the Lagrange method. Firefly algorithm and genetic algorithm methods are also used as performance comparisons. The results of this study show that the lagrange method can optimize generation costs with a difference of 243,227,475 $ / hour or 7,043% of the actual cost. While the firefly algorithm gets a difference of 243,227,471 $ / hour or 7.043% of the actual cost. And the genetic algorithm gets a cost difference of 242,119,792 $ / hour or 7,011% of the actual cost.

Forecasting University Admissions through Student Achievement using Arima Method Maslamah, Siti; Aripriharta; Handayani , Anik Nur; Horng, Gwo-Jiun
Journal of Education Technology Vol. 9 No. 1 (2025): February
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jet.v9i1.86015

Education is a means that allows individuals to develop their potential through the learning process. Vocational High School (SMK) is a formal education that prepares students to become middle-level workers, enterpreneurs, or continue to college. The admission system for State Universities (PTN) is divided into three pathways: SNBP, SNBT, and Independent Selection. This study aims to forecast new student admissions through the achievement pathway, specifically based on report card grades, with a case study at vocational school. The forecasting method used is the Autoregressive Integrated Moving Average (ARIMA), by analyzing the trend of student grades data admitted to state universities in 2020-2023, which includes report card grades from semesters 1 to 5. From the ARIMA analysis that was carried out for student admissions at state universities, the best ARIMA model was obtained (1,1,2) with an average MAPE error value of 2.12%. This indicates that the ARIMA model has good performance and can be used to forecast new student admissions to state universities. This research is expected to provide recommendations to educational institutions for better planning in student assessments, thereby increasing the probability of students being admitted to state universities.

MPPT Performance Analysis for PV Energy Harvesting Using Grey Wolf Optimization (GWO) Algorithm Aripriharta, Aripriharta; Syabani, Muhiban; Sendari, Siti; Wibawa, Aji Prasetya; Susilo, Suhiro Wongso; Bagaskoro, Muhammad Cahyo; Rosmin, Norzanah
ELKHA : Jurnal Teknik Elektro Vol. 17 No.1 April 2025
Publisher : Faculty of Engineering, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/elkha.v17i1.91643

Renewable energy is a key solution to meeting the growing demand for electricity while reducing reliance on non-renewable sources. Among various renewable technologies, photovoltaic (PV) systems are widely used in solar power plants (PLTS) to harness solar energy. However, PV efficiency is affected by environmental factors such as fluctuating solar irradiance and temperature, which cause instability in output voltage and power. To address these issues, Maximum Power Point Tracking (MPPT) techniques are applied to optimize power extraction. This study proposes the Grey Wolf Optimization (GWO) algorithm for MPPT and evaluates its performance through MATLAB/SIMULINK simulations under varying irradiance and temperature conditions. Inspired by the hunting behavior and social hierarchy of grey wolves, GWO dynamically adjusts the converter's duty cycle based on real-time voltage and current measurements to maximize output power. The study focuses on PV systems in Malang, Indonesia, and compares GWO with the Particle Swarm Optimization (PSO) method in terms of accuracy and stability. The results indicate that increased solar irradiance substantially enhances PV power output, while rising temperatures tend to reduce efficiency. The GWO algorithm achieves an average tracking accuracy of 94.5632%, slightly lower than the 96.9851% achieved by PSO. However, GWO demonstrates superior performance in terms of stability, with faster convergence and reduced oscillations during the tracking process. A comparison of system performance before and after applying the GWO method shows notable improvements in tracking consistency and power extraction efficiency, especially under dynamic environmental changes. The novelty of this study lies in its use of real-world environmental data collected over a 30-day period in a tropical setting, which is rarely addressed in previous GWO-based MPPT research. These findings highlight the potential of the GWO-based MPPT strategy to enhance PV system reliability and efficiency in real-time renewable energy applications.

Test Hybrid PV System Performance Against Load Variations Aripriharta, Aripriharta; Amin, Muhammad Adib; Sujito, Sujito; Faiz, Mohamad Rodhi; Bagaskoro, Muhammad Cahyo; Susilo, Suhiro Wongso; Omar, Saodah
Circuit: Jurnal Ilmiah Pendidikan Teknik Elektro Vol. 9 No. 1 (2025)
Publisher : PTE FTK UIN Ar-Raniry

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22373/crc.v9i1.23284

The depletion of fossil fuels has driven significant changes in the global electricity system. Solar Power Plants (PLTS) as a renewable energy source have shown the potential to contribute up to 25% of global electricity generation by 2050. The electricity system often experiences disturbances that can affect its performance and reliability. This study examines the performance of a 1.2 kW hybrid PV system under various load conditions. The system was tested with load variations of 2%, 7%, 22%, and 26% to assess its efficiency and performance. Despite a slight voltage drop of 4V Vac (-1.82%) at higher loads, the hybrid PV system consistently maintained a voltage range of 216-220V Vac, which meets the standard requirements. The system demonstrated high efficiency, averaging over 95%, with a peak efficiency reaching 98.5% at 2% load. These results confirm the effectiveness, safety, and reliability of the system under various load conditions. The findings are based on direct testing and measurements of a 1.2 kW hybrid PV system to evaluate the impact of load variations on its performance. The 1.2 kW hybrid PV system has been proven to be effective, safe and reliable in the face of load variations. These findings support the potential implementation of hybrid PV systems as a future renewable energy solution in the electricity sector

Design and Performance Evaluation of A Portable Low-Head Pico-Hydro System using A Rewound Axial Generator for Rural Energy Aripriharta, Aripriharta; Nibrosoma, Ahmad Dhaffa; Afandi, Arif Nur; Faiz, Mohamad Rodhi; Rahmadhani, Nur Aini Syafrina; Bagaskoro, Muhammad Cahyo; Rosmin, Norzanah
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 9 No. 1 (2025)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v9i1.1489

This study evaluates the performance of a pico-hydro system installed on a river with low head and discharge. The system was assessed under no-load and varying load conditions (25–100%). The results indicate that the generator performs according to the initial design, despite some fluctuations in output parameters. Under no-load conditions, the generator maintains a stable output voltage between 12–14 VAC, with a rotational speed of 590–600 RPM, a system frequency of 59–60 Hz, and zero current. The step-up transformer successfully raises the voltage to 220–222 V with high stability, although minor ripple is observed in the output signal. Under load, the generator voltage slightly decreases to 12–14 V as the load increases. The rotational speed also declines (560–590 RPM), affecting frequency stability, which drops from 59 Hz at 25% load to 56 Hz at full load. The current rises proportionally with the load, from 0.10 A at 25% to 0.45 A at 100%. The observed performance drop under load highlights the effect of load on generator speed and overall system output. The primary impacts of the 25–100% load range are evident in generator speed, frequency stability, and waveform quality. Overall, the system performs satisfactorily for low-head pico-hydro applications with a power capacity of up to 100 Watts, suitable for rural street lighting.

PENGEMBANGAN SISTEM PEMBERSIH OTOMATIS DENGAN PENJADWALAN TERPROGRAM DALAM MENGOPTIMALKAN PENYERAPAN SINAR MATAHARI PADA PANEL SURYA Ihsan, Rifqi Al; -, Aripriharta; Gumilar, Langlang; -, Sujito; Nugraha, Agil Zaidan; Nikmah, Revalina Nazilatun
Jurnal Informatika dan Teknik Elektro Terapan Vol. 13 No. 3 (2025)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v13i3.6542

Pembangkit Listrik Tenaga Surya (PLTS) adalah teknologi yang mengubah energi matahari menjadi listrik, namun sering mengalami penurunan efisiensi akibat penumpukan kotoran seperti debu pada permukaan panel. Pembersihan manual yang umum dilakukan berisiko tinggi terhadap keselamatan kerja, sehingga diperlukan solusi otomatis untuk meminimalkan risiko tersebut. Penelitian ini menganalisis pengaruh alat pembersih otomatis terhadap kinerja panel surya dengan membandingkan tegangan keluaran sebelum dan sesudah pembersihan, baik secara otomatis maupun manual. Hasil penelitian menunjukkan selisih tegangan antara panel kotor dan setelah dibersihkan alat sebesar 0,19 V (173 rpm), 0,15 V (85 rpm), dan 0,18 V (60 rpm), sementara selisih antara pembersihan alat dan manual sebesar 0,06 V (173 rpm) serta 0,04 V (85 rpm dan 60 rpm). Selain itu, daya panel saat stand by tercatat 1,9695 W, sedangkan saat alat bekerja meningkat signifikan menjadi 12,7108 W (173 rpm). Temuan ini membuktikan bahwa alat pembersih otomatis tidak hanya efektif dalam meningkatkan efisiensi panel surya tetapi juga lebih aman dibandingkan metode manual. Dengan demikian, penggunaan alat ini dapat menjadi solusi berkelanjutan untuk perawatan PLTS, khususnya di daerah dengan potensi debu tinggi seperti kawasan Timur Tengah. Penelitian ini memberikan kontribusi penting dalam pengembangan teknologi pembersihan panel surya yang efisien dan aman.

Queen Honey Bee Migration-Based Optimization for Battery Management of Internet of Things Devices in High-Risk Emergency Scenarios Widiatmoko, Dekki; Aripriharta, Aripriharta; Sujito, Sujito
Journal of Robotics and Control (JRC) Vol. 6 No. 4 (2025)
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/jrc.v6i4.27285

Efficient energy management in Internet of Things (IoT) devices is critical in dynamic, resource-constrained operational environments. This study proposes the Queen Honey Bee Migration (QHBM) optimization algorithm for managing Li-ion battery performance in IoT systems, employing the Shepherd battery model to simulate the nonlinear discharge behavior under varying load conditions. Three simulation scenarios of increasing complexity (5, 10, and 20 monitoring points) are used to represent urban operational dynamics. The performance of QHBM is quantitatively compared with four conventional optimization algorithms seperti Particle Swarm Optimization (PSO), Differential Evolution (DE), Genetic Algorithm (GA), and Firefly Algorithm (FA). Results show that QHBM maintains a current range of 3.80–5.20 A and a voltage range of 3.65–3.95 V, with State of Charge (SoC) predictions between 75–98%. It also achieves the fastest computation time (0.42–1.20 seconds) and demonstrates more stable performance under high-load dynamic scenarios compared to the other methods. This approach provides an adaptive and efficient optimization framework to support energy-aware decision-making in IoT systems operating in energy-constrained urban environments.

Integrasi Smart Camera dan AI untuk Mendukung Agribisnis Kopi Berkelanjutan di Wilayah Pedesaan Indonesia Kiranawati, Titi Mutiara; Aripriharta, Aripriharta; Zubaidah, Siti; Devi, Mazarina; Salwa, Nur Fadhila Rasyida; Ananta, Sasmita Bagus Sang Kesuma; Bagaskoro, Muhammad Cahyo
Abditeknika Jurnal Pengabdian Masyarakat Vol. 5 No. 2 (2025): Oktober
Publisher : LPPM Universitas Bina Sarana Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31294/abditeknika.v5i2.9602

Kendala utama agribisnis kopi pedesaan di Lembah Dilem Wilis, Trenggalek, adalah kualitas biji yang tidak konsisten akibat sortir manual. Sistem sortir otomatis berbasis Smart Camera dan AI dikembangkan untuk klasifikasi real-time biji kopi berdasarkan visual seperti warna dan ukuran. Dirancang dengan Raspberry Pi, sensor kamera, dan algoritma CNN , penerapannya melibatkan kolaborasi peneliti dan petani lokal secara partisipatif. Kami menggunakan 500 data latih yang diakuisisi dari aplikasi untuk pelatihan model CNN kami. Uji lapangan menunjukkan sistem ini mengurangi waktu sortir dari 45 menjadi 15 menit per kg, meningkatkan akurasi seleksi dari 75% menjadi 94%, dan melipatgandakan produktivitas harian. Analisis confusion matrix heatmap mengonfirmasi akurasi klasifikasi tinggi , dan sensor PZEM menunjukkan keandalan pemantauan daya. Meskipun meningkatkan efisiensi, tantangan adopsi petani kecil dan variasi kondisi biji kopi menjadi area pengembangan lebih lanjut. Evaluasi kuantitatif sebelum dan sesudah implementasi, menggunakan sampel biji kopi lokal, menegaskan bahwa integrasi teknologi ini meningkatkan efisiensi, mutu produksi, dan memberdayakan petani menuju agribisnis berkelanjutan. The primary challenge for rural coffee agribusiness in Dilem Wilis Valley, Trenggalek, is inconsistent bean quality due to manual sorting. An automated sorting system based on Smart Camera and AI was developed for real-time classification of coffee beans based on visual parameters like color and size. Designed with a Raspberry Pi, camera sensor, and CNN algorithm , its implementation involved participatory collaboration between researchers and local farmers. We used 500 training data acquired from the application for our CNN model training. Field trials showed the system reduced sorting time from 45 to 15 minutes per kg, increased selection accuracy from 75% to 94%, and doubled daily productivity. Confusion matrix heatmap analysis confirmed high classification accuracy , and PZEM sensors demonstrated reliable power monitoring. While enhancing efficiency, challenges in small-scale farmer adoption and varied bean conditions present areas for further development. Quantitative evaluation before and after implementation, using local coffee bean samples, affirmed that this technology integration boosts efficiency, product quality, and empowers farmers towards sustainable agribusiness.

Co-Authors -, Nandang Mufti A.N. Afandi Abdullah Iskandar Syah Abdullah Iskandar Syah Ach. Syahrudin Fakhri Achmad Afif Irwansyah Achmad Hamdan Achmad Khofiyulloh Achmad Syahrudin Fakhri Achmad Taufiq Ade Siyanti Nurul Hidayah Adiguna, Satria Adim Firmansah Adim Firmansah Adim Firmansah Aditya Wahyu Setiawan Aede Hatib Mustaamal Afandi, Farrel Candra Winata Affandi, Arif Nur Afif Abdul Hadi Agung Witjoro Agusta Rakhmat Taufani Ahmad Dardiri Ahmad Dhaffa' Nibrosoma Ahmad Dhaffa’ Nibrosoma3 Ahmad Fuadi Ahmad Munjin Nasih Ahmad Taufiq Ahmad Taufiq Aji Prasetya Wibawa Akbar, Muhammad Rezeki Akhmad Afrizal Rizqi Al Ihsan, Rifqi Al Rasyid, Mochammad Syarifudin Alfarid Hendro Yuwono Ali, Haidar Alma Nur Roisatul Masruhah Amin, Muhammad Adib Ananta, Sasmita Bagus Sang Kesuma Andoko Andoko, Andoko Andri Nugroho Andriansyah, Muhammad Rizal Anie Yulistyorini Anik Nur Handayani Annisa Avrilia Annisa Firly Aprilia Putri Aprilia Putri , Annisa Firly Arafah Husna Arfienda Miawa Tyassilva Arga Tri Agung Hermawan Aria Wibawa Arie Muazib Aryansyah Pratama ASMARITA, YULMAISI Asmarita, Yulmaisi Dwi Avrilia, Annisa Ayu Purwatiningsih Ayu Puwatiningsih Azizatus Zahro Bagaskoro, Muhammad Cahyo Che Ani, Adi Izhar Choirunnisa, Fadhillah Daniel Edo Dekki Widiatmoko Dekki Widiatmoko Didik Dwi Prasetya Diva Ayu Lestari Dodo Irmanto Dwi Mukti Asmoro Dwiwahyono, Irawan Dyah Lestari Dzul Fikri Muhammad Eka Mistakim Erfandy Erfandy Erfandy, Erfandy Erry Asnarindra Evie Dwi Jayanti Fachriyyah, Alif Dhurrotul Faidzin, Ilham Fakhri, Ach. Syahrudin Falah, Moh Zainul Fauziyah, Arisma Nurul Fazi, Muhammad Yusril Fitri FX Yuswantoro Dwi Irawan Gabrielley Ferdhiansyah Riyadi Gunawan, M. Ricko Gwo-Jiun Horng Hadi, Afif Abdul HADI, MOKH. SHLIHUL Hadi, Sholihul Handayani , Anik Nur Hari Putranto Harits Ar Rosyid Hasan Firdiansyah, Muhammad Hendra Susanto Herlin Pujiarti Heru Wahyu Herwanto Hikmatul Amri Horng, Gwo Jiun Horng, Gwo-Jiun I Made Wirawan Ihsan Al-Fikri Ihsan, Rifqi Al Ilman Kamil Imam Alfianto Imam Saputra Ira Devi Sara Irham Fadlika Jayanti, Evie Dwi Joko Utomo Joumil Aidil Saifuddin Kaki, Gregorius Paulus Mario Laka Kamil, Ilman Kasiyanto Kasiyanto Kasiyanto Kasiyanto Kasiyanto Kasiyanto Kasiyanto, Kasiyanto Khoiruddin Asfanie Korba, Petr Kornelius Kamargo/Irawan Dwi Wahyono Kornelius Kamargo Kusubakti Andajani Kusumaningrum, Irma Kartika Kusumawardana, Arya Laili, Mery Nur Langlang Gumilar Larasati, Jade Rosida Lilis Widayanti M Ibrahim Ashari M Rafli Dwi Suryanto M Rifa’i M Rifa’i M Rodhi Faiz M Rodhi Faiz M. Alfian Mizar M. Cahyo Bagaskoro M. Rodhi Faiz M. Rodhi Faiz, M. Rodhi Markus Diantoro Maslamah, Siti Mazarina Devi Mistakim, Eka Moh Zainul Falah Moh. Zainul Falah Mohamad Rodhi Faiz Mohammad Musthofa Al Ansyorie Mohammad Rodhi Faiz Mokh Sholihul Hadi Mokh. Solikhul Hadia Muchamad Wahyu Prasetyo Muchamad Wahyu Prasetyo Muchamad Wahyu Prasetyo Mudakir, Mudakir Muhammad Adib Amin Muhammad Afnan Habibi Muhammad Aris Ichwanto Muhammad Cahyo Bagaskoro Muhammad Cahyo bagaskoro muhammad cahyo bagaskoro Muhammad Cahyo Bagaskoro Muhammad Hafiizh Muhammad Jazuli Shubhi Muhammad Jazuli Shubhi Muhammad Raihan Fitriyandi Muhammad Rizal Andriansyah Muhammad Rodhi Faiz Muhammad Yazid Muharnis Muharnis Muhiban Syabani Muhiban Syabani Muladi Nadea Catur Nurmayanti Nadhira, Anissa Chairani Alfin Nadiya Miftachul Chusna Nafi Isbadrianingtyas Naizatul Zainul Rofiqi Najmi, M. Ikhwan Nandang Mufti Nathaniela Azaria Ashari Nibrosoma, Ahmad Dhaffa Nikmah, Revalina Nazilatun Nofa Mardianto Nor Julia Mohd Nordin Nor Shahida Hasan Norzanah Rosmin Norzanah Rosmin Norzanah Rosmin Nugraha, Agil Zaidan Nur Shasmitta Zaen Oktiviania, Febby Ayu Omar, Saodah Pramono Pramono Prasetyo, Muchamad Wahyu Pratama, Aryansyah Puger Homggowiyono Purnomo, Purnomo Purwatiningsih, Ayu Putri, Firly Aprilia Quota Sias Raffi Taufik Gushardana Rafli Amirul Husain Rafli Amirul Husain Rahmadhani, Nur Aini Syafrina Rahman, Rizal Akbarudin Ramadhani, I Gusti Ayu Isnaini Fatha Reswana, Pria Eka Ridho Riski Hadi Rifqi Al Ihsan Rini Nur Hasanah Riski, Akhmad Afrizal Riya Mustikasari Rodhi Faiz Ronny Ardiansah Roshifah Dinilqoyyimah Rosmin, Norzanah Rosmin, Norzanah Binti Rui Alfadel Saputra Salwa, Nur Fadhila Rasyida Sandriana Parantean Saodah Omar Saodah Omar Saparullah Saparullah Sari, Lia Yunita Satia Nur Maharani Satria Adiguna Satrio, Yogi Dwi Setiawan, Aditya Wahyu Setiawan, Toni Putra Agus Sevilla, Felix Rafael Segundo Sholihul Hadi Sias, Quota Alief Siti Aisyah Siti Maherah Husin Siti Sendari Siti Zubaidah Siti Zubaidah Siti Zumaroh Slamet Wibawanto Soenar Soekopitojo Soraya Norma Mustika Suhiro Wongso Susilo Suhiro Wongso Susilo Sujito - Sujito . Sujito Sujito Sujito Sujito Sukmawan, Bijak Akbar Sulistyo, Danang Arbian Sunaryono Sunaryono Sunaryono Sunaryono Sunaryono, Sunaryono Suprayitno Suprayitno Suryani, Ani Wilujeng Susilo, Suhiro Wongso Syaad Patmanthara Syabani, Muhiban Syamsul Arifin Tamara Fitri Andansari Titi Mutiara Kiranawati Tiwi Ananda Toni Putra Agus Setiawan Tri Kuncoro Triyanna Widiyaningtyas Viky Yosia Priambodo Viky Yosia Priambodo, Vivi Aida Fitria Wibawa, Aji Presetya Wibowo, Kusmayanto Hadi Widiatmoko, Dekki Wulandari, Nurul Putri Yazid, Muhammad Yogi Sastra Surya Yuli Agustina, Yuli Yuliana, Erma Surya Yuni Rahmawati Yusril Al Fath Zaeni, Ilham Ari Elbaith Zaeni, lham Ari Elbaith Zory Satrio Nugroho Zulkifli, Shamsul Aizam

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