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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Majalah Ilmiah Teknologi Elektro Jurnal INKOM Jurnal Simetris Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Jurnal Teknologi JURNAL ELEKTRO International Journal of Advances in Intelligent Informatics Majalah Ilmiah MOMENTUM ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JOIV : International Journal on Informatics Visualization Jurnal Elementer (Elektro dan Mesin Terapan) JMM (Jurnal Masyarakat Mandiri) KACANEGARA Jurnal Pengabdian pada Masyarakat Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) MIND (Multimedia Artificial Intelligent Networking Database) Journal JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) TEKTRIKA - Jurnal Penelitian dan Pengembangan Telekomunikasi, Kendali, Komputer, Elektrik, dan Elektronika Journal of Electronics, Electromedical Engineering, and Medical Informatics JTIM : Jurnal Teknologi Informasi dan Multimedia JMECS (Journal of Measurements, Electronics, Communications, and Systems) Indonesian Journal of electronics, electromedical engineering, and medical informatics Journal of Applied Engineering and Technological Science (JAETS) Indonesian Journal of Electrical Engineering and Computer Science Aiti: Jurnal Teknologi Informasi Prosiding Konferensi Nasional PKM-CSR INTECH (Informatika dan Teknologi) Jurnal Nasional Teknik Elektro dan Teknologi Informasi eProceedings of Engineering Community Service Seminar and Community Engagement (COSECANT) Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics
Achmad Rizal
Telkom University
Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mechanical Engineering Nursing Public Health Social Sciences Other

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Klasifikasi Suara Paru-paru Menggunakan Jaringan Syaraf Tiruan Dan Wavelet Transform Deny Sugiarto Wiradikusuma; Jondri Jondri; Achmad Rizal
eProceedings of Engineering Vol 8, No 2 (2021): April 2021
Publisher : eProceedings of Engineering

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Abstract

Abstraksi Suara paru-paru merupakan salah satu data yang penting dalam dunia kesehatan untuk membantu mendeteksi penyakit pernapasan. Mendeteksi penyakit pernapasan tidak cukup hanya dengan perkiraan saja maka diperlukan juga data yang valid untuk mendapatkan hasil akurat dengan data suara paru yang di transformasi menjadi sinyal dengan menggunakan wavelet discrete untuk memvisualisasikan suara paru-paru serta menggunakan metode Multilayer Perceptron untuk mengolah data suara paru ini sehingga dapat mengklasifikasikan jenis penyakit yang diderita oleh penderita penyakit pernapasan sebesar 76% dengan lebih akurat. Keywords: lung sound, wavelet transform, neural network, multilayer perceptron
Kendali Pergerakan Lengan Buatan Untuk Area Lengan Bawah Menggunakan Sinyal Emg Ilham Rabbani Des Chandra Aziz; Achmad Rizal; Ramdhan Nugraha
eProceedings of Engineering Vol 7, No 1 (2020): April 2020
Publisher : eProceedings of Engineering

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Abstract

Abstract The human hand is one of the most frequently used parts of the body's anatomy. For some jobs, hands are valuable assets. The good and bad performance of human hands is heavily influenced by the good control and coordination of thenerves and muscles. Unfortunately, not all humans are blessed with healthy hands. Various things ranging from diseases such as strokes, paralysis, to the results of amputations due to disease also cause human hands to lose their main function or even totally unusable. This research aims to make an artificial arm that can be controlled based on EMG signals for people with disabilities. EMG signal readings are done by attaching electrodesto specific points of the pronatorteres muscle in the forearm area. The results of the obtained muscle activity will be captured in the form of an EMG signal to then be processed until it reaches a certain reading frequency range for the captured signal. After reading, the signals will then extract characteristics that are used as parameters to conclude the movement obtained using the K Nearest Neighbor (KNN) algorithm in MATLAB and then continued by serial communication with the microcontroller to move the prosthetic arm. Through this research, the writer obtained 76.7% accuracy on the value of K = 3 based on the results of KNN training with Classification Learner in MATLAB. However, through predictions with the new test data the writer could only get 50% accuracy. This can be caused by various things such as the hidden muscle location, the area of muscle detection, and the measurement for Euclidian Distance on KNN in MATLAB which also carried out evenly against fellow training data.Keywords : nervous system, signal, EMG, prosthetic arm, serial communication, disabilities, KNN, Euclidian Distance.
Perancangan Lengan Robot Dengan 4 Derajat Kebebasan Untuk Sistem Kendali Berbasis Sensor Kinect Jidan Sandika Hidayat; Achmad Rizal; Ramdhan Nugraha
eProceedings of Engineering Vol 8, No 2 (2021): April 2021
Publisher : eProceedings of Engineering

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Abstrak Lengan robot terdiri dari sistem mekanik dan sistem kendali lengan robot. Sistem mekanik berfungsi sebagai wadah sistem penggerak pada lengan robot. Istilah lain sistem penggerak disebut dengan derajat kebebasan atau Degree Of Freedom (DOF) atau sering diartikan dengan joint. Lalu pada bagian sistem kendali lengan robot salah satu nya dapat menggunakan metode pengolahan citra menggunakan sensor Kinect. Sensor Kinect adalah teknologi perangkat lunak yang dapat mendeteksi sendi tubuh manusia dan melacak pergerakan nya. Pada sistem kendali lengan robot menggunakan sensor Kinect, perintah untuk menggerakkan lengan robot menjadi lebih mudah, cepat, dan tidak banyak komponen yang digunakan. Pada tugas akhir ini fokus di bagian sistem mekanik dan penggerak lengan robot, untuk sistem kendali berbasis sensor Kinect. Lengan robot dirancang menggunakan microcontroller Arduino Mega 2560 dan aktuator berupa empat motor servo yang dipasang pada joint base, shoulder, elbow, dan gripper. Hasil pada tugas akhir ini didapat pada keempat joint lengan robot base, shoulder, elbow, dan gripper masing-masing memiliki error akurasi sudut 33.6°, 4.8°, 4.3°, dan 0°. Lengan robot dapat bergerak mengikuti gerakan lengan manusia secara real time dengan memakan waktu rata-rata sebesar 402.37 milidetik pada delapan gerakan lengan yang telah diperagakan. Kata Kunci: lengan robot, 4 derajat kebebasan, sistem kendali berbasis sensor Kinect, Kinect Abstract The robot arm consists of a mechanical system and a robot arm control system. The mechanical system functions as a container for the motion system in the robot arm. Another term for a system of motion is called the Degree Of Freedom (DOF) or often interpreted as a joint. Then in the robot arm control system, one of which can use the image processing method using the Kinect sensor. Kinect sensor is a software technology that can detect the joints of the human body and track their movements. In a robot arm control system using a Kinect sensor, the command to move the robot arm becomes easier, faster, and uses less components. In this final project, the focus is on the mechanical system and the movement of the robot arm, for the Kinect sensor-based control system. The robot arm is designed using an Arduino Mega 2560 microcontroller and an actuator in the form of four servo motors mounted on the joint base, shoulder, elbow, and gripper. The results in this final project are obtained that the four joint robot arms base, shoulder, elbow, and gripper each have angle accuracy errors of 33.6°, 4.8°, 4.3°, and 0°. The robotic arm can move to follow the human arm movement in real time by taking an average of 402.37 milliseconds on the eight arm movements that have been demonstrated. Keywords: robot arm, 4 degrees of freedom, Kinect sensor-based control system, Kinect
PELATIHAN STORYNOMICS TOURISM DI DESA WISATA LAKSANA SEBAGAI UPAYA PENGEMBANGAN DESTINASI WISATA Dien Rahmawati; Achmad Rizal; Wahmisari Priharti; Fajra Octrina; Burhanuddin Aziz
Prosiding COSECANT : Community Service and Engagement Seminar Vol 1, No 2 (2021)
Publisher : Universitas telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (303.336 KB) | DOI: 10.25124/cosecant.v1i2.17537

Abstract

Desa Wisata Laksana merupakan salah satu desa wisata di Kabupaten Bandung. Setelah sepuluh tahun ditetapkan menjadi desa wisata, pengembangan destinasi wisata di Desa Wisata Laksana masih kurang baik. Berdasarkan identifikasi awal tersebut, maka dilaksanakan pengabdian masyarakat skema Community Service Engagement oleh tim dari Universitas Telkom. Tujuan dari kegiatan ini adalah memberikan pelatihan storynomics tourism sebagai upaya pengembangan destinasi wisata. Pada pelatihan ini diterapkan metode forum group discussion bersama dengan warga masyarakat Desa Wisata Laksana yang memiliki fokus masing-masing terkait destinasi wisata di Desa Wisata Laksana. Dari kegiatan pelaksanaan pelatihan storynomics tourism didapatkan hasil masyarakat semakin memahami metode pengembangan destinasi wisata terutama dengan menggunakan metode storynomics tourism. Selain itu, didapatkan juga informasi terkait kondisi eksisting, daftar potensi wisata, dan juga kondisi ideal untuk pembuatan paket wisata berbasis storynomics tourism. Implikasi dari kegiatan ini, warga masyarakat meminta adanya kegiatan lanjutan terkait pembuatan konten, pricing, dan marketing sehingga harapannya pengembangan destinasi wisata berbasis storynomics tourism bisa benar-benar diimplementasi di Desa Wisata Laksana.
PELATIHAN LEARNING MANAGEMENT SISTEM DI SEKOLAH ALAM GAHARU, KABUPATEN BANDUNG, JAWA BARAT Istiqomah Istiqomah; Brahmantya Aji Pramudita; Achmad Rizal
JMM (Jurnal Masyarakat Mandiri) Vol 7, No 2 (2023): April
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v7i2.13345

Abstract

Abstrak: Sekolah Alam Gaharu adalah sekolah alam yang baru didirikan pada tahun 2011 yang terletak di Kabupaten Bandung, Jawa Barat. Konsep sekolah alam disini memberikan kebebasan siswa belajar dari pengalaman hasil obsevasi mereka dengan alam. Akan tetapi, proses pembelajaran yang dilakukan tidak fleksibel. Sehingga saat masa COVID-19, proses pembelajaran menjadi terganggu karena larangan untuk kegiatan langsung tatap muka dan tidak ada media yang digunakan sebagai pengganti proses pembelajaran. Oleh karena itu, pelatihan Learning Management System (LMS) kepada guru sekolah alam gaharu ini dilakukan untuk mendukung konsep pembelajaran tersebut. LMS ini diharapkan membantu siswa sekolah alam Gaharu belajar dimana saja. Selain itu, para guru dapat mengoptimalkan pembelajaran dengan keleluasaan pemberian materi kepada siswanya. Dipelatihan ini diajarkan penggunaan Google Classroom. Selain itu, pelatihan ini menggunakan metode community development yang mana pelatihan ini mengembangkan dan memperbaiki proses pembelajaran yang sudah diterapkan dengan memberikan langkah-langkah penyusunan materi pada LMS, sehingga dapat digunakan untuk mendukung pembelajaran yang sudah terbentuk menjadi lebih baik. Hasil yang diharapkan pada pelatihan ini adalah Sekolah Alam Gaharu memiliki pilihan terkait dengan proses pembelajaran, memberikan tambahan media pembelajaran, dan media kreativitas guru Sekolah Alam Gaharu. Berdasarkan hasil dari pelatihan yang diberikan, respon peserta terhadap pelatihan yang diberikan memperoleh hasil lebih dari 90% peserta sangat puas dengan pelatihan yang dilaksanakan and 85,7% peserta berminat mengimplementasikan LMS Google Classroom dalam proses pembelajaran.Abstract: Sekolah Alam Gaharu is a nature school that was founded in 2011 and located in Bandung Regency, West Java. The concept of the natural school here gives students the freedom to learn from their observing experiences with nature. However, the learning process is not flexible. Thus, the learning process, during the COVID-19 period, was disrupted because of the ban on face-to-face activities, and no media was used as a substitute for the learning process. Therefore, the Learning Management System (LMS) training for Sekolah Alam Gaharu teachers was carried out to support this learning concept. The LMS is expected to help Sekolah Alam Gaharu students learn anywhere. In addition, teachers can optimize learning with the flexibility to provide material to their students. This training teaches to use Google Classroom. Moreover, this training uses community development which this training develops and improves the implemented learning process by providing the learning material forming schemes on LMS so that it can be used to support the learning process for the better. The expected result of this training is Sekolah Alam Gaharu has the option regarding the learning process, the learning media addition, and creativity media for Sekolah Alam Gaharu’s teacher. Based on the result of the training, the participant’s response obtains more than 90% of participants were delighted with the training carried out and 85.7% of participants want to implement LMS Google Classroom in the learning process.
Classification of Normal and Abnormal Heart Sounds Using Empirical Mode Decomposition and First Order Statistic Hilman Fauzi; Achmad Rizal; Mazaya 'Aqila; Alvin Oktarianto; Ziani Said
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 5 No 2 (2023): April
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v5i2.287

Abstract

Analysis of heart sound signals for automatic segmentation and classification has revealed in recent decades that it has the potential to detect pathology accurately in clinical applications. Various audio signal processing techniques have been used to reduce the subjectivity of heart sound analysis. This study aims to classify normal and abnormal heart sound signals. The feature extraction process was optimized by EMD and calculated using five first-order statistical parameters: mean, variance, kurtosis, skewness, and entropy. The classification system is optimized with a mutual information algorithm to select traits that can significantly improve system performance. In addition, the selection of the optimal system configuration also includes the k-fold cross-validation and kNN methods with k values ​​and the proper distance type. Based on the test results, the highest accuracy of 98.2% was obtained when the value of k = 1 and the type of cosine distance on kNN with a five-fold cross-validation system evaluation model.
“Stop perundungan, mari kita berteman!” penyuluhan dan edukasi anti perundungan untuk siswa sekolah dasar Aurick Daffa Muhammad; Achmad Rizal; Enzel D. S. Situmorang; La Bamba Puang P T S Kami; Nurul Fathanah Muntasir; Vania Rei Syifa; Muhammad Al Makky
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 6, No 2 (2023): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v6i2.1579

Abstract

Bullying is an unpleasant behavior carried out by an individual or a group of people against another person or group. This behavior is carried out both verbally and physically which can make a person feel uncomfortable and pressured. Bullying often occurs at the elementary school (SD) level. This happens because the elementary school age level does not understand the meaning of bullying and its legal consequences. Therefore, in this community service, counseling was carried out for Al Mabrur Elementary School students to provide an understanding of bullying. Counseling was carried out through various activities, such as playing videos, presenting material, coloring, games, and handing out anti-bullying pocket books. The counseling activity was attended by 30 students from SD Al Mabrur and other school employees. Based on the results of the questionnaire given to the participants after the counseling was finished, it was found that the participants had understood the meaning of bullying and its forms.
SOSIALISASI STANDAR AKUNTANSI KEUANGAN BAGI ENTITAS MIKRO, KECIL, DAN MENENGAH Fajra Octrina; Dien Rahmawati; Wahmisari Priharti; Achmad Rizal; Ruri Octari Dinata
JMM (Jurnal Masyarakat Mandiri) Vol 7, No 3 (2023): Juni
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jmm.v7i3.15096

Abstract

Abstrak: Sebagai critical engine Usaha Mikro, Kecil, dan Menengah (UMKM) telah menjadi salah satu pendorong peningkatan ekonomi negara. Namun ditengah meningkatnya industri UMKM masih banyak dari pelaku yang belum paham akan pentingnya melakukan pencatatan laporan keuangan yang sesuai dengan standar akuntansi keuangan bagi entitas mikro, kecil, dan menengah. Kegiatan ini dilakukan dengan tujuan untuk mengenalkan Standar Akuntansi Keuangan bagi Entitas Mikro Kecil dan Menengah (SAK EMKM), mengenalkan aplikasi pencatatan laporan keuangan, menyusun laporan keuangan berdasar SAK EMKM, serta melakukan diskusi dan tanya jawab permasalahan yang dihadapi para peserta sosialisasi. Sosialisasi ini dilakukan pada pelaku UMKM di Kawasan Desa Wisata Laksana, Jawa Barat dengan jumlah peserta sebanyak 16 orang dengan metode sosialisasi dan pelatihan. Berdasarkan hasil evaluasi melalui kuesioner, sosialisasi ini telah meningkatkan pengetahuan peserta dan 68.75% peserta merasa pengetahuanya sangat bertambah.Abstract: As a critical engine, Micro, Small, and Medium Enterprises (MSMEs) have become one of the drivers of improving the country's economy. However, amidst the increase in the MSME industry, many MSME owners still need to understand the importance of recording financial reports by financial accounting standards for micro, small, and medium entities. This community service aims to introduce Financial Accounting Standards for Micro, Small, and Medium Entities (SAK EMKM), introducing applications for recording financial reports, compile financial statements based on SAK EMKM, and hold discussions and questions and answers. This socialization was carried out for MSMEs in the Laksana Tourism Village Area, West Java, with 16 participants using the socialization and training method. Based on the evaluation results, this socialization has increased participants' knowledge, and participants were satisfied with this activity.
Sistem Monitoring Ph dan Suhu Air pada Kolam Ikan Lele Terintegrasi Berbasis Internet Of Things Wahyu Kurniawan; Achmad Rizal; Istiqomah Istiqomah
eProceedings of Engineering Vol 10, No 3 (2023): Juni 2023
Publisher : eProceedings of Engineering

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Abstract

Abstrak-Dalam program budi daya ikan lele, kurangnya kesadaran tentang kualitas air pada kolam serta pemberian pakan pada ikan lele menjadi masalah yang kerap dialami oleh pemilik kolam. Hal tersebut dikarenakan pemilik kolam memiliki aktivitas lain di luar pemeliharaan kolam sehingga meninggalkan kolam tanpa adanya pengawasan. Masalah pemantauan dapat diatasi dengan menggunakan teknologi, salah satunya penerapan sensor ke Internet of Things. Penerapan sensor berbasis Internet of Things membantu pemilik kolam dalam memantau kualitas air di dalam kolam sehingga pemantauan dapat dilakukan tanpa harus datang ke kolam. Adapun untuk masalah pemberian pakan dapat diatasi dengan sistem pemberian pakan secara terjadwal sehingga meminimalisir kemungkinan terjadinya kanibalisme antar sesama ikan lele dan hasil pembuangan zat sisa yang dikeluarkan menjadi lebih terkontrol. Pada sistem monitoring, hasil dari pengujian sensor suhu DS18B20 menghasilkan nilai akurasi sebesar 98,92% dengan 1,08% tingkat error serta sensor PH-4502C menghasilkan nilai akurasi 95,43% dengan 4,57% tingkat error. Pengujian delay pada sistem monitoring mendapatkan nilai delay sebesar 30,40375 ms dengan packet loss sebesar 0%. Pada sistem pemberian pakan didapatkan pembacaan sensor load cell dengan akurasi sebesar 98,34% dengan 1,66% tingkat error serta nilai akurasi aktuator sebesar 99,512% dengan 0,488% tingkat error. Kata Kunci-ikan lele, suhu, pH air, pakan ikan, pemantauan, internet of things
Lung sound classification using multiresolution Higuchi fractal dimension measurement Achmad Rizal; Risanuri Hidayat; Hanung Adi Nugroho; Willy Anugrah Cahyadi
International Journal of Electrical and Computer Engineering (IJECE) Vol 13, No 5: October 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v13i5.pp5091-5100

Abstract

Lung sound is one indicator of abnormalities in the lungs and respiratory tract. Research for automatic lung sound classification has become one of the interests for researchers because lung disease is one of the diseases with the most sufferers in the world. The use of lung sounds as a source of information because of the ease in data acquisition and auscultation is a standard method in examining pulmonary function. This study simulated the potential use of Higuchi fractal dimension (HFD) as a feature extraction method for lung sound classification. HFD calculations were run on a series of k values to generate some HFD values as features. According to the simulation results, the proposed method could produce an accuracy of up to 97.98% for five classes of lung sound data. The results also suggested that the shift in HFD values over the selection of a time interval k can be used for lung sound classification.
Co-Authors Abdillah Nur Isnaini Abdillah Nur Isnaini Achmad Ibnu Abas Aditya, Muhammad Billy Agung Muliawan Agung Surya Wibowo Agustina Trifena Dame.S Akhmad Alfaruq Alfian Akbar Gozali Alvin Oktarianto Alvy Suhandi Nataprawira Amalia, Qoriina Dwi Andi Arini Hidayanti Andi Farmadi Andi Wahyu Adi Arryansyah Andjar Pudji Andro Harjanto Anggit Syorgaffi Anita Miftahul Maghfiroh Anna Yoneta Ulu Arif Abdul Aziz Arif Abdul Aziz Arifah Putri Caesaria Aura Awaliani Puteri Aurick Daffa Muhammad Ayu, Devina Dara Aziz, Burhanuddin Azriansyah Azriansyah Azriansyah Azriansyah Bambang Guruh Irianto Bambang Hidayat Bandiyah Sri Aprillia Bella Fatonah Nur Anisya Beu, Donny Setiawan Bhagas Nugroho Brahmantya Aji Pramudita Burhanuddin Aziz Chandra Purna Darmawan Chandraditya Aridela Deni Saepudin Deny Sugiarto Wiradikusuma Desri Kristina Silalahi Devi Anggraini Dien Rahmawati Djoko Kurnia Putra Dyah Ayu Pratiwi Egidius Pai Laka Eka Nuryanto Budi Susila Elfrida Ratnawati Ellia Nurazizah Endro Yulianto Enzel D. S. Situmorang Estananto Fachrul Nazif Fadhlul Amar Fadlillah Muharam Saeful Fahira Deviana Putri Pasaribu Fajra Octrina Faqih Alam FARDAN FARDAN Fathul Fajar Fatma Indriani FAUZI FRAHMA TALININGSIH Fiky Y. Suratman Fively Darmadi Freyssenita Kanditami P Hanan, Hafizh Khoirul Hanung Adi Nugroho Hanung Tyas Saksono Hasbian Fauzi Perdana Hezron Eka Lattang Hilman Fauzi, Hilman I Nyoman Apraz Ramatryana Ig. Prasetya Dwi Wibawa Ilham Edwian Berliandhy Ilham Rabbani Des Chandra Aziz Inung Wijayanto Istiqomah Istiqomah Istiqomah Istiqomah Istiqomah Istiqomah Iswahyudi Hidayat Jafar Hifdzullisan Jatmiko Kuntoro Nugroho Jidan Sandika Hidayat Jondri Jondri Junartho Halomoan Khilda Afifah Khoirunnisa Azizah Koredianto Usman La Bamba Puang P T S Kami Lestari, Rahma Dania Aleem Liliek Soetjiatie M. Ary Murti Mayco Ikhsan Hanafi Mazaya 'Aqila Meidiana Ajeng Lestari Mohamad Ramdhani Mohamad Sofie Mohamad Sofie Mohamad Sofie, Mohamad MUHAMMAD ADNAN PRAMUDITO Muhammad Afif Ridwansyah Muhammad Al Makky Muhammad Ary Murti Muhammad Fahriza Bahrudin Muhammad Fahriza Bahrudin Muhammad Fahriza Bahrudin Muhammad Hablul Barri Muhammad Hasbi Ashshiddieqy MUHAMMAD JULIAN, MUHAMMAD Muhammad Nadim Mubaarok Muhammad Nashih Rabbani Muhammad Rafiqy Zulfahmi Muhammad Ridha Makruf Muhammad Satya Annas Muhammad Thariq Machaz Muhammad Yusuf Salman Muliadi Naufal Widad Sundawa Naufal Widad Sundawa Ni Wayan Ratna Juami Novi Prihatiningrum Nur Afifah Nuril Hidayanti Nurina Listya Hakim Nursanto Nursanto NURSANTO NURSANTO, NURSANTO Nurul Fathanah Muntasir Patih Muhammad Philip Tobianto Daely Purba Daru Kusuma Putri Famela Azhari R. Yunendah Nur Fu’adah Radian Sigit Raditiana Patmasari Rama Ihya Ulumuddin Ramdhan Nugraha Ratri Dwi Atmaja Raudhatul Jannah Reza Budiawan, Reza Rheza Faurizki Rahayu Rifka Aulia Natasya Risanuri Hidayat Rita Magdalena Rizkia Dwi Auliannisa Ruri Octari Dinata Saepulloh Saepulloh Sang Made Lanang Prasetya Sania Marcellina Bryan Saragih, Triando Hamonangan Sari Luthfiyah Sigit, Radian Siti Nur Azizah Sugiharto Soediponegoro Soediponegoro Soediponegoro Soediponegoro Sofia Naning Hertiana Sony Sumaryo Sugondo Hadiyoso Suryani Alifah Suryo Wibowo Syamsul Rizal Tedy Gumilang Sejati Teguh Patriananda Teguh Satria Triwiyanto Triwiyanto Unang Sunarya Vania Rei Syifa Vera Suryani Viko Adi Rahmawan Vincentius Adisurya Fransisco Antu Wahmisari Priharti Wahyu Kurniawan Widiawan, Babel Willy Anugrah Cahyadi Wisudantyo Wahyu Priambodo, Wisudantyo Wahyu YULI SUN HARIYANI Ziani Said Ziani, Said