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All Journal Tekno : Jurnal Teknologi Elektro dan Kejuruan ELKHA : Jurnal Teknik Elektro Mechatronics, Electrical Power, and Vehicular Technology Jurnal Simetris Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Pekommas Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) International Journal of Advances in Intelligent Informatics JURNAL NASIONAL TEKNIK ELEKTRO Jurnal Pendidikan: Teori, Penelitian, dan Pengembangan JOIV : International Journal on Informatics Visualization International Journal of Artificial Intelligence Research JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Knowledge Engineering and Data Science Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Sains dan Informatika Pendas : Jurnah Ilmiah Pendidikan Dasar ILKOM Jurnal Ilmiah SENTIA 2017 SENTIA 2016 MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Lectura : Jurnal Pendidikan Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) PEDULI: Jurnal Imiah Pengabdian Pada Masyarakat Infotekmesin Buletin Ilmiah Sarjana Teknik Elektro International Journal of Visual and Performing Arts Jurnal Mnemonic Frontier Energy System and Power Engineering Masyarakat Berdaya dan Inovasi Community Development Journal: Jurnal Pengabdian Masyarakat Indonesian Journal of Data and Science Letters in Information Technology Education (LITE) Jurnal Graha Pengabdian Jurnal Abdimas Berdaya : Jurnal Pembelajaran, Pemberdayaan dan Pengabdian Masyarakat Science in Information Technology Letters International Journal of Engineering, Science and Information Technology International Journal of Robotics and Control Systems ALINIER: Journal of Artificial Intelligence & Applications Ilmu Komputer untuk Masyarakat SinarFe7 Jurnal Maklumatika Jurnal Masyarakat Madani Indonesia Applied Engineering and Technology Jurnal Ekonomi, Bisnis dan Pendidikan (JEBP) Jurnal Inovasi Teknologi dan Edukasi Teknik PROSIDING SEMINAR NASIONAL PENELITIAN DAN PENGABDIAN KEPADA MASYARAKAT (SNPPM) UNIVERSITAS MUHAMMADIYAH METRO Bulletin of Social Informatics Theory and Application Karunia: Jurnal Hasil Pengabdian Masyarakat Indonesia Jurnal Informatika Polinema (JIP) ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat Journal of Engineering and Technological Sciences Jurnal ilmiah teknologi informasi Asia
Anik Nur Handayani
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APLIKASI JARINGAN SARAF TIRUAN METODE PERCEPTRON PADA PENGENALAN POLA NOTASI Arifin, Muhamad; Asfani, Khoirudin; Handayani, Anik Nur
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 9, No 1 (2018): JURNAL SIMETRIS VOLUME 9 NO 1 TAHUN 2018
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (654.244 KB) | DOI: 10.24176/simet.v9i1.1737

Abstract

Jaringan saraf tiruan (JST) merupakan pemroses informasi yang meniru cara kerja otak manusia, yaitu bentuk neuron (sel syaraf). Karena kelebihan ini, JST dapat dipakai untuk mengenali pola tertentu, pada penelitian ini pola notasi aritmatika. JST yang dipakai dengan metode perceptron. pola notasi aritmatika mulai dari notasi penjumlahan (+), pengurangan (-), perkalian (x), pembagian (/), dan sama dengan (=). Penentuan pengenalan pola notasi tersebut berdasarkan 3 inputan yang harus dimasukkan yaitu nilai bobot (w) = 0, nilai alpha (α) = 1, dan nilai threshold (θ) = 0. Tujuan dari penelitian yaitu mengetahui tingkat akurasi perhitungan excel dan program delphi pada pengenalan pola notasi pada jaringan saraf tiruan dengan metode perceptron. Metode penelitian dengan 3 cara yang dilakukan yaitu penentuan nilai inputan (x), penentuan nilai target (t), dan perhitungan nilai aktivasi. Hasil dari penelitian ini bahwa pengenalan pola notasi penjumlahan (+), pengurangan (-), perkalian (x), pembagian (/), dan sama dengan (=) dari kedua perhitungan baik secara manual pada program excel dan implementasi pada program Delphi dalam Jaringan Saraf Tiruan (JST) metode Perceptron, didapatkan hasil yang sama dengan selisih 0, sehingga dapat disimpulkan perhitungan manual dengan excel dan implementasi pada program Delphi untuk pengenalan pola notasi penjumlahan (+) adalah presisi. Kemudian untuk pengenalan pola lain seperti pengurangan (-), perkalian (x), pembagian (/), dan sama dengan (=) hasilnya antara perhitungan dan program juga sama.
APLIKASI JARINGAN SYARAF TIRUAN METODE PERCEPTRON PADA PENGENALAN POLA HURUF HIJAIYAH (HURUF ARAB) Hamdan, Achmad; Handayani, Anik Nur
Prosiding SAKTI (Seminar Ilmu Komputer dan Teknologi Informasi) Vol 2, No 1 (2017): Vol 2, No 1 (2017): Prosiding Seminar Nasional Ilmu Komputer dan Teknologi Infor
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (959.472 KB)

Abstract

Jaringan saraf tiruan merupakan salah satu sistem pemrosesan informasi yang didesain dengan menirukan cara kerja otak manusia untuk menyelesaikan masalah dengan melakukan proses pelatihan melalui perubahan bobot. Mengenali pola huruf hijaiyah (huruf arab) bukan menjadi hal yang sulit bagi manusia, akan tetapi berbeda halnya dengan komputer. Komputer harus memiliki algoritma atau cara tersendiri kemampuan komputer dalam mengenali suatu pola mulai banyak digunakan untuk menyelesaikan berbagai persoalan, contohnya pengenalan pola sidik jari pada keamanan informasi, pengenalan pola kardiograf pada bidang kedokteran, pengenalan pola wajah dan pengenalan pola karakter. Dalam penelitian ini penulis bertujuan untuk menerapkan metode Jaringan Syaraf Tiruan atau Artificial Intelligence dengan algoritma perceptron single layer dalam menentukan pengunaan pada pengenalan pola huruf hijaiyah   “ب ”, “ج”, “ث ”, “ل ”, “و” dan menampilkan hasil perhitungan manual dengan hasil aplikasi program. Tahap awal yang dilakukan menginputkan berupa 1 dan -1 yang mana inputan 1 yang akan diproses menjadi pengenalan sebuah pola. Inputan tersebut akan diinisialisasikan dalam bentuk pola 10x10 dikonversi menjadi huruf hijaiyah. Penggunaan perceptron untuk menghitung nilai bobot dengan alpha 1 dan threshold 0. Dari hasil pengujian menunjukkan penggunaan perceptron untuk menghitung nilai bobot dengan alpha 1 dan threshold 0, masing-masing pola huruf hijaiyah jumlah Epoch tidak sama.
PERBANDINGAN METODE NAÏVE BAYES DAN C4.5 UNTUK MEMPREDIKSI MORTALITAS PADA PETERNAKAN AYAM BROILER Baihaqi, Dimas Imam; Handayani, Anik Nur; Pujianto, Utomo
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 10, No 1 (2019): JURNAL SIMETRIS VOLUME 10 NO 1 TAHUN 2019
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (185.135 KB) | DOI: 10.24176/simet.v10i1.2846

Abstract

Ayam broiler adalah jenis ternak yang paling cepat untuk dipanen. Namun dalam berternak ayam broiler pasti banyak masalah yang dihadapi contohnya adalah tingkat kematian. Untuk menekan kerugian, para peternak sebaiknya memperhatikan faktor-faktor apa saja yang menyebabkan kematian ayam tersebut. Beberapa penelitian yang meneliti tentang ayam broiler menggunakan metode percobaan dan RAL. Namun masih belum ada yang meneliti mortalitas ayam broiler menggunkan komputasi. Untuk mengetahui metode mana yang lebih baik untuk memprediksi mortalitas pada peternakan ayam broiler dilakukan penelitian perbandingan metode Naïve Bayes dan C4.5. Hasil dari perbandingan akan dievaluasi menggunakan confution matrix. Hasil dari pengujian data menggunakan confution matrix menghasilkan nilai akurasi dari metode C4.5 lebih besar dari pada metode Naïve Bayes. Nilai akurasi dari metode C4.5 adalah 93% dan nilai akurasi dari metode Naïve Bayes adalah 88.66%.
Smart grid photovoltaic system pilot scale using sunlight intensity and state of charge (SoC) battery based on Mamdani fuzzy logic control Faqih, Kamil; Primadi, Wahyu; Handayani, Anik Nur; Priharta, Ari; Arai, Kohei
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 10, No 1 (2019)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (4271.554 KB) | DOI: 10.14203/j.mev.2019.v10.36-47

Abstract

The Utilization of renewable energy such as a photovoltaic system is the foremost alternative in transfers generated by conventional power plants, but the lack of photovoltaics is support for light intensity. The purpose of this research is to develop a pilot-scale smart grid photovoltaic system that can regulate the supply of electrical energy from either the battery or the power supply. The control system in this study uses the Mamdani fuzzy logic method in determining automatic system performance. This system monitors the intensity of light and battery which are then used as automatic safety parameters on the power supply, battery, and photovoltaic. The results of this study display the indicator results from the microcontroller in supplying electrical energy for the use of electrical loads, Power Supply has been served the load when the battery is in a low state which have a voltage <11 Volts, the battery has been served the load when the condition of the battery is in a medium and high condition which has a voltage of 11.5 <; ....; <13 Volts. PV has been served batteries or loads when the light intensity is cloudy and bright which have a light intensity of 3585 <; ...; <10752 Lux. This system can reduce dependence on conventional energy without reducing the quality of the energy supply at load and Photovoltaic system dependence on light intensity does not affect the supply of energy consumption to electrical loads.
Implementation of Artificial Neural Network Method for Estimating Connected Power and Electric Energy Consumption Nizaar, Roub; Handayani, Anik Nur
Frontier Energy System and Power Engineering Vol 1, No 2 (2019): JULY
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (313.697 KB) | DOI: 10.17977/um049v1i2p13-18

Abstract

Abstract—Electricity is vital for modern society’s welfare. Daily electricity usage depended on the customers’ type. Hence, there was a difference between the connected power with consumption. Therefore, there needed an estimation method for long-term connected power and energy consumption to improve the safety of energy management and operation plan for the generator. This research used the Artificial Neural Network method with a backpropagation algorithm model to estimate the connected power and electricity consumption. This method has the advantage of following past patterns after the training process. This research used data such as total population, Gross Regional Domestic Product, total customers, produced energy, remaining energy, distribution loss, total transformer, peak load, and load factor as the independent data. The energy consumption and connected power served as the dependent data. The data was taken from Srengat Network Service Unit, East Java, for ten years, which started in 2008. This research used literature study, information and data collection, information and data process, data estimation and analysis, and conclusion as the procedures. Based on the results, the best network structure was 9-9-2 with the 10-6 goal, 0.9 momentum value, and 0.15 learning rate to produce the smallest Mean Squared Error of 0.00442 in 2015, Mean Absolute Percentage Error of 7.88% for the connected power, and 11.27% on electricity consumption target.
APLIKASI JARINGAN SARAF TIRUAN METODE PERCEPTRON PADA PENGENALAN POLA NOTASI Arifin, Muhamad; Asfani, Khoirudin; Handayani, Anik Nur
Simetris: Jurnal Teknik Mesin, Elektro dan Ilmu Komputer Vol 9, No 1 (2018): JURNAL SIMETRIS VOLUME 9 NO 1 TAHUN 2018
Publisher : Universitas Muria Kudus

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24176/simet.v9i1.1737

Abstract

Jaringan saraf tiruan (JST) merupakan pemroses informasi yang meniru cara kerja otak manusia, yaitu bentuk neuron (sel syaraf). Karena kelebihan ini, JST dapat dipakai untuk mengenali pola tertentu, pada penelitian ini pola notasi aritmatika. JST yang dipakai dengan metode perceptron. pola notasi aritmatika mulai dari notasi penjumlahan (+), pengurangan (-), perkalian (x), pembagian (/), dan sama dengan (=). Penentuan pengenalan pola notasi tersebut berdasarkan 3 inputan yang harus dimasukkan yaitu nilai bobot (w) = 0, nilai alpha (α) = 1, dan nilai threshold (θ) = 0. Tujuan dari penelitian yaitu mengetahui tingkat akurasi perhitungan excel dan program delphi pada pengenalan pola notasi pada jaringan saraf tiruan dengan metode perceptron. Metode penelitian dengan 3 cara yang dilakukan yaitu penentuan nilai inputan (x), penentuan nilai target (t), dan perhitungan nilai aktivasi. Hasil dari penelitian ini bahwa pengenalan pola notasi penjumlahan (+), pengurangan (-), perkalian (x), pembagian (/), dan sama dengan (=) dari kedua perhitungan baik secara manual pada program excel dan implementasi pada program Delphi dalam Jaringan Saraf Tiruan (JST) metode Perceptron, didapatkan hasil yang sama dengan selisih 0, sehingga dapat disimpulkan perhitungan manual dengan excel dan implementasi pada program Delphi untuk pengenalan pola notasi penjumlahan (+) adalah presisi. Kemudian untuk pengenalan pola lain seperti pengurangan (-), perkalian (x), pembagian (/), dan sama dengan (=) hasilnya antara perhitungan dan program juga sama.
Determining the Articles Acceptance Using Logic of Fuzzy Inference System Tsukamoto Fauzi, Juwita Annisa; Rahman, Nukleon Jefri Nur; Handayani, Anik Nur; Mahamad, Abd Kadir
Letters in Information Technology Education (LITE) Vol 3, No 1 (2020)
Publisher : Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (905.63 KB) | DOI: 10.17977/um010v3i12020p001

Abstract

Publication of scientific article is now getting bigger, but the process of the scientific article acceptance takes a long time. The longest stage in the process, especially, is in the review process. The process about article assessment consists of many criteria which cause a very high level of subjectivity. Computerized system on the assessment of the scientific article acceptance apply a reasoning scheme using Fuzzy Inference Tsukamoto Logic; therefore, by using the logic, the duration issue in the assessment process can be handled fast.
PENERAPAN TEKNOLOGI POMPA AIR BERTENAGA SURYA UNTUK LAYANAN MASYARAKAT PESANTREN Aripriharta, Aripriharta; Handayani, Anik Nur; Mufti, Nandang; Muladi, Muladi; Taufani, Agusta Rakhmat; Firmansah, Adim; Wibowo, Kusmayanto Hadi; Laili, Mery Nur; Larasati, Jade Rosida
Jurnal Graha Pengabdian Vol 2, No 1 (2020)
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LP2M) Universitas Negeri Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1205.504 KB)

Abstract

Abstrak:Dalam studi ini, MPPT digunakan untuk mendapatkan output daya maksimum panel surya. Selain itu, ada rangkaian konverter buck-boost yang digunakan untuk mengatur tegangan output panel surya untuk pompa air. Buck-Boost Converter dalam sistem ini menggunakan algoritma P&O untuk mendapatkan duty cycle yang diinginkan. Sistem yang diusulkan telah diuji menggunakan simulasi Matlab / Simulink dan juga percobaan pompa air tenaga surya. Setelah pengujian, PV dapat mencapai nilai maksimum dengan iradiasi yang berbeda. Selain itu, tegangan output pada konverter dapat mengisi baterai. Sistem ini dapat menjadi solusi untuk ketersediaan air bersih di daerah terpencil yang masih belum terjangkau listrik.Abstract:In this study, MPPT is used to get the maximum power output of solar panels. In addition, there is a buck-boost converter circuit that is used to regulate the output voltage of solar panels for water pumps. Buck-Boost Converter in this system uses the P&O algorithm to get the desired duty cycle. The proposed system has been tested using a Matlab / Simulink simulation and also a solar water pump experiment. After testing, PV can reach its maximum value with different irradiations. In addition, the output voltage on the converter can charge the battery. This system can be a solution for the availability of clean water in remote areas that are not yet affordable by electricity.
Lux and current analysis on lab-scale smart grid system using Mamdani fuzzy logic controller Prasetyo, Bayu; Aziz, Faiz Syaikhoni; Handayani, Anik Nur; Priharta, Ari; Bin Che Ani, Adi Izhar
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 11, No 1 (2020)
Publisher : Research Centre for Electrical Power and Mechatronics, Indonesian Istitutes of Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2020.v11.11-21

Abstract

The increasing need for electrical energy requires suppliers to innovate in developing electric distribution systems that are better in terms of quality and affordability. In its development, it is necessary to have a control that can combine the electricity network from renewable energy and the main network through voltage back-up or synchronization automatically. The purpose of this research is to create an innovative lux and current analysis on a lab-scale smart grid system using a fuzzy logic controller to control the main network, solar panel network and generator network to supply each other with lab-scale electrical energy. In the control, Mamdani fuzzy logic controller method is used as the basis for determining the smart grid system control problem solving by adjusting the current conditions on the main network and the light intensity conditions on the LDR sensor. Current conditions are classified in three conditions namely safe, warning, and trip. Meanwhile, the light intensity conditions are classified into three conditions namely dark, cloudy and bright. From the test results, the utility grid (PLN) is at active conditions when the load current is 0.4 A (safe) and light intensity is 1,167 Lux (dark). Then the PLN + PV condition is active when the load current is 1.37 (warning) and the light intensity is 8,680 lux (bright). Finally, the generator condition is active when the load current is 1.6 (trip) and the light intensity is 8,680 (bright). Based on the test results, it is known that the system can work to determine which source is more efficient based on the parameters obtained.
PENGEMBANGAN ALAT PENGISI SELAI KOPI KE DALAM BOTOL UNTUK UMKM SEJAHTERA SENTOSA Muladi, Muladi; Aripriharta, Aripriharta; Wibawa, Aji Prasetya; Handayani, Anik Nur; Suryani, Ani Wilujeng
PEDULI: Jurnal Ilmiah Pengabdian Pada Masyarakat Vol 5 No 1 (2021)
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37303/peduli.v5i1.225

Abstract

Coffee is one of the leading export commodities in Indonesia besides palm oil, cocoa and rubber. The quality of Indonesian coffee is among the best in the world, thus placing Indonesia in the top ten producers and exporters of the world. Coffee production continues to increase every year, accompanied by an increase in processed coffee-based products. Among the innovative creations of coffee products are UMKM Sejahtera Sentosa with their coffee jam products. This product received a good response and became the superior product of Malang Municipality. These MSMEs experienced difficulties in the production process when developing jam packaging in the form of sachets and bottles. The community service activity of the State University of Malang helped overcome this difficulty by developing a jam filling device for sachets and bottles. The filling device works semi-automatically with electronic control. The tools developed have been tested and can function according to the needs of industrial partners. UMKM owners and employees expressed their satisfaction with the tools developed and hope to work together again in the next service activity.
Co-Authors A.N. Afandi Abdul Rachman Manga&#039; Abdullah Iskandar Syah Achmad Hamdan Achmad Safi’i Achmad Safi’i Adi Izhar Bin Che Ani Adi Prastowo, Nur Kodrad Adib Nur Sasongko Adim Firmansah Adipura, Laksamana Afandi, Farrel Candra Winata Agusta Rakhmat Taufani Ahmad Dardiri Aji Prasetya Wibawa Al-Jabbar, Habib Muhammad Amaliya, Sholikhatul Andrew Nafalski Anita Qotrun Nada Anusua Ghosh Ardiansyah, Lucky Arengga, Danang Ari Priharta Ari Priharta Arif Widodo, Baskoro Aripriharta - Ariyanta, Nadindra Dwi Arwani, Wafiq Nur Muhamamd Asfani, Khoirudin Atmaja, Muhammad Bayu Setya Wahyu Ayu Puspita Azhryl Assagaf Aziz, Faiz Syaikhoni Azizah, Desi Fatkhi Azizah, Devi Nur Bagaskoro, Muhammad Cahyo Baihaqi, Dimas Imam Baihaqi, Dimas Imam Baskoro Arif Widodo Bayu Prasetyo Bayu Prasetyo, Bayu Bin Che Ani, Adi Izhar Burhanuddin, Mohd Aboobaider Chalista Yulia Hazizah Chuttur, Mohammad Yasser Damanhuri, Nor Salwa Damayanti, Farradila Ayu Damayanti, Masyita Danang Arengga Danang Arengga Wibowo Dedes, Khen Devita Maulina Putri, Devita Maulina Dewi Aprilia Lintang Dewi, Ellya Kusna Aura Didik Dwi Prasetya Difa Hananta Firdaus Am Dika Fikri L Dimas Wahyu Wibowo Dityo Kreshna Argeshwara Dityo Kreshna Argeshwara Dolly Indra Dwi Prihanto Dyah Lestari Dyah Rosita Anggraeni Edinar Valiant Hawali Edwin Meinardi Trianto Eka Rahayu Setyaningsih Erwina Nurul Azizah F.ti Ayyu Sayyidul Laily Faiz Syaikhoni Aziz Fakhruddin, Dhiyaurrahman Faqih, Fauziah Nur Faqih, Kamil Faradhila Saffa Dhamira Farah Nisa’ Salsabila Fauzi, Juwita Annisa Fauzi, Rochmad Felix Andika Dwiyanto Ferina Ayu Pusparani Gianika Roman Sosa Graciello, Manuel Tanbica Gunawan Budi P Guyub Raharjo Gwo-Jiun Horng Haffas Zikri Ariyandi Hakkun Elmunsyah Halimahtus Mukminna, Halimahtus Handoko, Wahyu Tri Harits Ar Rasyid Harits Ar Rosyid Hartarto Junaedi Hary Suswanto Hasriani Hasriani, Hasriani Hermansyah Hermansyah Heru Herwanto Heru Wahyu Herwanto Hirashima, Tsukasa Hitipeuw, Emanuel Hosen, Moh I Made Wirawan Ida Ayu Putu Sri Widnyani Ihsan Al-Fikri Ira Kumalasari Irfan Ramadhani Irham Fadlika Jehad A. H. Hammad Jehad A.H. Hammad Jevri Tri Ardiansah Jevri Tri Ardiansah Joumil Aidil Saifuddin Kamil Faqih Kartika Kirana Kasmira Kasmira Katya Lindi Chandrika Khasanah, Elok Rosyidatul Khumairoh, Fidyah Nur Khurin Nabila Kinasih, Agnes Nola Sekar Kirom, M Kohei Arai Kohei Arai Kohei Arai Kohei Arai Korba, Petr Kurniawan, Wendy Cahya Kusumawardana, Arya Laili, Mery Nur Laily, F.ti Ayyu Sayyidul Laistulloh, Dika Fikri Lalu Ganda Rady Putra Langlang Gumilar Larasati, Jade Rosida Leonel Hernandez, Leonel Lestari , Widya Liang, Yeoh Wen Liang, Yoeh Wen lilis nurhayati M. Adib Nursasongko M. Kirom, M. M. Nuzuluddin M. Rodhi Faiz M. Rodhi Faiz Machumu, Paul Igunda Made Ayu Dusea Widyadara - Universitas Nusantara Kediri, Made Ayu Dusea Widyadara Mahamad, Abd Kadir Maqbullah, Afwatul Ming Foey Teng, Ming Foey Moh Zainul Falah Moh. Zainul Falah Mohammad Agung Rizki Mohammad Rizky Kurniawan Mohammad Yussril Asri Mohsen Samadi Mokh Sholihul Hadi Much. Arafat Al Mubarok Muchamad Wahyu Prasetyo Muhamad Arifin Muhamad Arifin, Muhamad Muhammad Arifin Muhammad Hafiizh Muhammad Holqi Rizki Azhari Muhammad Iqbal Akbar Muhammad Ridwan Muhammad Ulinnuha Musthofa Muhammad Younas Darvish Muhammad Zaky Rahmatsyah Muladi Mumtaazah, Muhammad Athar Mutiara, Titi Nadindra Dwi Ariyanta Nandang Mufti Nastiti Susetyo Fanani Putri Nastiti Susetyo Fanani Putri Nastiti Susetyo Fanany Putri Naufal Rizaldi Gunawan Ningrum, Gres Dyah Kusuma Nisa, Khoirotun Nizaar, Roub Norzanah Rosmin Norzanah Rosmin Nugraha, Agil Zaidan Nugraha, Youngga Rega Nunung Nurjanah Nur Halim Nur Rahma, Andika Bagus Nurus Sihab Aminudin Nuzuluddin, M. Osamu Fukuda Prasetya Widiharso Prasetya Widiharso Prasojo, Fadillah Pratama, Awanda Setya Sanfajar Pratama, Diaz Octa Pratama, Wahyu Styo Priharta, Ari Primadi, Wahyu Purnomo, Purnomo Putra Utama, Agung Bella Putri Galuh Ningtiaz Qomaria, Ulfa Rahman, Nukleon Jefri Nur Rahmat Samudra Anugrah, Muhammad Ramadhani, Lolita Ratnasari, Diah Ayu Resty Wulanningrum Reza Setyawan Rini Nur Hasanah Rismayanti, Nurul Romadlon, Muhammad Rizqi Rosa Andrie Asmara Rosa Andrie Asmara Rosyidin, Zulkham Umar Rusdha Aulia Salah Abdullah Khalil Abdulrahman Salsabila, Reni Fatrisna Saodah Omar Saputra, Ismed Eko Hadi Selly Handik Pratiwi Seno Isbiyantoro Setyaningsih, Eka Rahayu Setyawan, Wahyu Dwi Sevilla, Felix Rafael Segundo Siti Sendari Slamet Wahyudi Slamet Wibawanto Soraya Norma Mustika Srini Suciati, Reski Dwi Suryani, Ani Wilujeng Syaad Patmantara Syaichul Fitrian Akbar Taw, Phillip Teguh Andriyanto, Teguh Timothy John Pattiasina Titaley, Gilberth Valentino Tsukasa Hirashima Ulum, Khoirul Urnika Mudhifatul Jannah Utama, Agung Bella Putra Utomo Pujianto Utomo, Imam Tree Veithzal Rivai Zainal Wahyu Arbianda Yudha Pratama Wahyu Irianto Wahyu Primadi Wahyu Sakti Gunawan Irianto Wahyu Tri Handoko Wibawa, Aji Presetya Wibowo, Kusmayanto Hadi Wicaksana, Ardi Anugerah Widiharso, Prasetya Wijaya, Mikel Ega Wiryawan, Muhammad Zaki Yogi Dwi Mahandi Yosi Kristian Yu, Tony Yudha Islami Sulistya Yuliana Melita Pranoto Yuni Rahmawati Zaeni, Ilham Ari Elbaith Zufida Kharirotul Umma Zulkham Umar Rosyidin Zulkham Umar Rosyidin Zulkifli, Shamsul Aizam