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VISUALISASI DAN UJI COBA METODE PERAWATAN LANTAI KERAMIK GUNA PEMBELAJARAN VIRTUAL Santosa, Stefanus; Suwarto, Suwarto; Suroso, Suroso; Setiyono, Karnawan Joko; Setyaningsih, Desi; Ilala, Oze Dora
Wahana Teknik Sipil: Jurnal Pengembangan Teknik Sipil Vol. 28 No. 1 (2023): Wahana Teknik Sipil
Publisher : Politeknik Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32497/wahanats.v28i1.4557

Abstract

The Architecture, Engineering, Construction, and Operations (AECO) industry has shown high interest in the use of Building Information Modeling (BIM) for Facility Maintenance Management (FMM). The opportunity to use BIM for the operational activities of building facilities is very large, but the use of BIM in FM is still far behind compared to the implementation of BIM at the design and construction stages. This research is intended to test the tile floor maintenance method and create visualizations in animative form and apply them in virtual learning with evaluation based on the Technology Acceptance Model (TAM). The results of the student t-test statistical test showed that there was a very significant effect of the Ceramic Floor Care Method Learning Media on increasing user knowledge in 5 aspects (learning objectives, knowledge, materials, service quality, and appearance). The test results by media experts on the aspects of language, display, and service quality obtained the "very feasible" category, while the test results by material experts on the aspects of learning objectives, material delivery, and material selection also obtained the "very feasible" category to be applied in learning/ training. It is hoped that the results of this research can trigger the formation of an open access BIM object library.
DAMPINGAN LITERASI KEUANGAN SYARIAH BAGI LEMBAGA KEUANGAN MIKRO SYARIAH DI DESA PACIRAN KECAMATAN PACIRAN KABUPATEN LAMONGAN Latifah, Eny; Suroso, Suroso
Jurnal Pengabdian Masyarakat Sabangka Vol 2 No 01 (2023): Jurnal Pengabdian Masyarakat Sabangka
Publisher : Pusat Studi Ekonomi, Publikasi Ilmiah dan Pengembangan SDM Azramedia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62668/sabangka.v2i01.470

Abstract

Tujuan pengabdian masyarakat ini adalah untuk memberikan dampingan kepada Lembaga Keuangan Syariah berbentuk Koperasi Syariah atas pemahaman penerapan akad dan laporan keuangan yang dibutuhkan oleh instansi tempat pelaksanaan pengabdian. Metode yang digunakan PAR adalah proses pencarian pengembangan pengetahuan praktis dalam memahami sosial, politik, lingkungan, atau kondisi ekonomi. PAR juga bersifat partisipatif Metode penelitian dan pengembangan yang mengakui hubungan sosial dan nilai realitas pengalaman, pikiran, dan perasaan kita. Hasil pendampingan di masyarakat adalah regulasi emosi, kontrol impuls, sikap optimis, efikasi diri, dan peningkatan positif aspek. Hasil pengabdian masyarakat adalah Dampingan Literasi Keuangan Syariah bagi KSPPS BMT Surya Raharja menghasilkan (1) Penerapan Akad syariah yang ada masih terbatas atas produk simpanan dan pembiayaan dengan produk penerapan akad Rahn, (2) Penerapan atas Laporan keuangan yang ada belum tersedia adanya laporan Dana Kebajikan, (3) Sumber Daya Manusia Belum sepenuhnya memahami inklusi keuangan syariah sehingga perlu dampingan kontinue. Dengan adanya pelaksanaan pengabdian ini diharapkan KSPPS BMT Surya Raharja Paciran lebih memahami, menerapkan dan menguatkan kualitas dalam literasi keuangan syariah yang ada.
Penerapan EfficiencyNet Untuk Pembuatan Model CNN Pada Klasifikasi Bahasa Isyarat Putri, Amanda Kanaya; Suroso, Suroso; Handayani, Ade Silvia
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5592

Abstract

This study discusses the application of EfficientNet architecture in developing a Convolutional Neural Network (CNN) model for sign language classification. Sign language is a vital communication method for the deaf community, but automatic recognition remains a challenge in the field of computer vision. One of the primary issues is the limitation in accuracy and efficiency of models in recognizing complex variations of sign language in real-world conditions. EfficientNet, known for its computational efficiency, is used as a backbone to build a CNN model that can classify sign language letter patterns with high accuracy while remaining lightweight. The dataset used in this study is American Sign Language (ASL) with data augmentation techniques to enhance the variety and quality of the dataset. The dataset comprises 14,740 images of sign language letter patterns from various angles and lighting conditions. Experimental results show that the EfficientNet-based model developed achieves training and validation accuracies of 98.40% with a more efficient model size and inference time. This study demonstrates the significant potential of using EfficientNet in developing sign language classification systems that can be applied to devices with limited resources, such as mobile applications and edge computing. These findings are expected to improve accessibility and social inclusion for the deaf and speech-impaired communities. Thus, this research not only contributes to the field of pattern recognition technology but also to efforts to enhance the quality of life for individuals with communication disabilities through the development of effective and efficient assistive tools.
Implementasi Long Short Term Memory (LSTM) dalam Deteksi Kantuk pada Pengemudi Menggunakan Sensor Detak Jantung Afifah, Inas; Silvia, Ade; Suroso, Suroso
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5664

Abstract

Traffic accidents are often caused by drowsiness or negligent sleep, as well the use of alcohol or drugs. Microsleep, which is drowsiness or falling asleep within a few seconds without the driver realizing it, is a dangerous condition that can lead to death while driving. This research aims to implement the Long Short Term Memory (LSTM) algorithm as an early warning of microlsleep in drivers and develop a drowsiness detection tool using a pulse heart rate sensor. LSTM, with its ability to memory long-range information, has proven to be superior in time series prediction and is applied in real-time driver heart rate data analysis. The results show that the implemented LSTM model has good performance in detecting drowsiness, with MAE values of 6.42 in training data and 6.35 in testing data. RMSE of 8.82 for training and 8.33 for testing. MAPE of 8.87% in training data and 8.97% in testing data, and MSE of 77.80 in training data and 69.47 in testing. Thus, the LSTM algorithm is effective in detecting drowsiness in drivers through heart rate data analysis, which can serve as an early warning system to prevent traffic accidents caused by microsleep.
Penerapan Algoritma Yolov3 pada Sistem Cerdas Pendeteksi dan Pengendali Hama Bawang Merah Berbasis IoT As'ad, Avif; Suroso, Suroso; Ciksadan, Ciksadan; Hawayanti, Erni
Building of Informatics, Technology and Science (BITS) Vol 6 No 2 (2024): September 2024
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i2.5697

Abstract

Technological advancements play a crucial role in enhancing the efficiency of modern agriculture, particularly in addressing pest management challenges. This study focuses on the development of an automatic pest detection system for shallot crops using a combination of Arduino Uno microcontroller, ESP32-CAM camera module, and YOLOv3 object detection model. The system is designed to detect pests in real-time through images captured by ESP32-CAM and analyzed using YOLOv3, then provide an automatic response by spraying pesticides only in areas where pests are detected. The study began with the development of hardware and software for the automatic pest detection system. Arduino Uno is used as the main microcontroller to control the entire system, while ESP32-CAM is responsible for capturing images and detecting pests. The YOLOv3 model is trained using the COCO dataset, supplemented with sample images of pests on shallot crops to improve detection accuracy. The training process is conducted using a GPU to speed up model learning. Field tests on shallot crops infested with various types of pests show that this system has a high accuracy rate in detecting pests and effectively provides automatic pesticide spraying responses. The spraying system's effectiveness reaches 93%, ensuring pesticides are sprayed only in areas where pests are detected, thus optimizing pesticide use and reducing negative environmental impacts. This system offers an efficient and environmentally friendly solution for pest control and has significant potential for application in various agricultural scenarios. This research contributes to the improvement of agricultural productivity and the welfare of farmers in Indonesia.
Establishing Student Character Through The Implementation of Multicultural Values Aryati, Ani; Suroso, suroso
Cendekia: Kependidikan dan Kemasyarakatan Vol 20 No 1 (2022)
Publisher : IAIN Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21154/cendekia.v1i1.3835

Abstract

This study investigates the implementation of multicultural values and students' character formation at the Faculty of Law. This study used experimental research with quasi-experimental. The sampling technique used cluster sampling. Primary data sources were students. Then, researchers gave multiple-choice item tests using the Likert Scale. The data interview was gathered from the Dean and Lecturers of AIK. Secondary data was obtained from documentation and literature. The research gave a pre-test and treated multicultural values. The data collection is in tests, non-tests (Likert scale), observations, interviews, and documentation. Data analyzed by t-test Independent-Sample T-Test. The finding shows that the character of the students of the Faculty of Law, University of Muhammadiyah, Palembang, experienced a significant increase after the application of multicultural values. The researchers conducted the study in moral knowing by applying the values of tolerance, democratic values, the values of equality, and the values of justice. The implication of these values makes Law Faculty students know moral values, have awareness and understand a good point of view. Second, researchers provide two-week student day activities in mosques, sports fields, and classrooms. During student day, the value of multicultural education is instilled. The effect obtained after student day is that students of the Faculty of Law have empathy, humility, and self-esteem. The third is moral action by conducting inter-religious dialogue in developing social intelligence. Implementing multicultural values – moral knowing, feeling, and action can shape students' character in everyday life. 
Nilai-nilai Pendidikan Akhlak Berbasis Iman Menurut Syaikh Nawawi Al-Bantani (Studi Analisis Kitab Qāmi’u At-Tughyān) Suroso, Suroso; Subhi, Muhamad Rifa’i
ALSYS Vol 3 No 6 (2023): NOVEMBER
Publisher : Lembaga Yasin AlSys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/alsys.v3i6.1977

Abstract

Character development efforts through a variety of educational institutions and through various methods continue to be developed. This shows that morals really need to be fostered, and this formation turns out to bring results in the form of the formation of Muslim individuals who are noble, obedient to Allah and His Messenger, respect for mothers, fathers, compassion for fellow beings and so on. This condition of coaching is increasingly felt necessary especially when there are more challenges and temptations as a result of advances in science and technology. Today, for example, people will easily communicate with anything in this world, which is good or bad, because the existence of telecommunication equipments. The problems in article this study are: first¸ What is The Values of Manners Education based on Faith according to ShaykhNawawi al-Bantani in the book Qāmīu at-Tughyān? second¸ What is the relevance Values of Manners Education based on Faith according to ShaykhNawawi al-Bantani in the Qāmī'u at-Tughyā book with the current context of moral education?The purpose of this study is to describe and critically analyze the Values of Manners Education based on Faith according to ShaykhNawawi al-Bantani in the book Qāmīu at-Tughyān and its relevance to the current context of moral education.While the usefulness of this research theoretically is to add scientific insight about moral education and can be a reference material in digging up information in order to add to scientific treasures. And its practical uses for education observers namely contribute to becoming a reference and scientific treasure in deepening scientific horizons. This study uses a descriptive qualitative analysis approach with a type of library research. While the data collection techniques is based on documentation. And the data analysis technique is the content analysis technique. The results of this study indicate that the classification of faith-based moral education in the book Qāmi'u At-Tughyān According to Shaykh Muhammad Nawawi Al-Bantani can be divided into five categories. First, morals towards Allah Swt.Second, morals towards Prophet Muhammad Saw.Third, morals towards Religious expert. Fourth, morals towards fellow people and Fifth, morals towards ourself.
INFLUENCE OF WORK ENVIRONMENT AND EMPLOYEE COMPETENCE ANALYSIS ON EMPLOYEE PERFORMANCE Hery Santoso, Muhammad; Naim, Sidrotun; Suroso, Suroso; Hayudini, Magna Anissa A.; Shrestha, Prabin
Chanos Chanos Vol 21, No 1 (2023): CHANOS CHANOS
Publisher : Politeknik Kelautan dan Perikanan Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15578/chanos.v21i1.12818

Abstract

The research that has been done aims to analyze the effect of the work environment and employee competence on employee performance at a seafood processing company in Probolinggo City, East Java. Based on the results of the analysis of the calculation of the first hypothesis (H1), which states that the work environment has a positive and significant effect on employee performance, the t-count value of 19,845 is greater than the t-table value, which is 1,677 and the significance value obtained is less than 0.05, which means that the work environment has a positive and significant effect on employee performance, the results of the calculation analysis of the second hypothesis (H2) which states that employee competence has a positive and significant effect on employee performance obtained a t-count value of 14,471 greater than the t-table value of 1,677 and the value the significance obtained is less than 0.05, which means that employee competence has a positive and significant effect on employee performance, while the R-square value obtained is 0.897 which states that work environment variables and employee competency affect employee performance by 89.70% and the remaining 10.30% influenced by other variables.
Implementasi Sistem Pengenalan Wajah Sebagai Automatic Door Lock Menggunakan Modul ESP32 CAM Difa, M Kelvin; Suroso, Suroso; Endri, Jon
Patria Artha Technological Journal Vol 5, No 2 (2021): Patria Artha Technological Journal
Publisher : Department of Electrical Engineering, University of Patria Artha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33857/patj.v5i2.452

Abstract

Facial recognition system is a system developed by many technology companies. Face recognition has become a system that is widely used for various purposes such as the development of security systems, identification of identities, as well as processing of an image or film. One of the methods used to create this system is to use the ESP32 CAM module which is connected to the Arduino, where the ESP32 CAM is a module with an OV2640 camera sensor that can be used to take pictures and face recognition. ESP32 CAM is a development of the previous module and has an ESP32 chip with dual connectivity namely WiFi and Bluetooth. The face which is a part of the human body that is often the focus of attention in social interactions because it plays a vital role by showing identity and emotions. Will be used as an indication of the introduction of a person or Face Recognition. The basic principle is that by quoting the face's unique information, the system will read and recognize it. Face recognition is a pattern recognition (pattern recognition). This can be described as a classification of a face whether recognized or not recognized, and once recognized, the face pattern will be stored. The ESP32 CAM that has been connected to the Arduino will detect whether the face is recognized or not, then the data will be sent to the relay and if the face is recognized, the door lock will open automatically, while if the face data is not recognized, the door lock will not open.
Kepatuhan Nelayan Pada Permen KP Nomor : 01/Men/2007 Terhadap Mutu Hasil Perikanan Di Pelabuhan Brondong, Lamongan: Fishermen's Compliance with KP Ministerial Regulation Number: 01/Men/2007 Regarding Quality Fishery Products at Brondong Harbor, Lamongan Suroso, Suroso; Munir, Miftachul
MIYANG Vol 3 No 1 (2023): Jurnal Miyang Edisi April 2023
Publisher : Faculty of Fisheries and Marine, Universitas PGRI Ronggolawe, Tuban, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55719/jmiy.v3i1.603

Abstract

Ikan merupakan sumber protein hewani kelas dua setelah daging, susu, dan telur. Kajian mutakhir menempatkan ikan dan berbagai hasil laut sebagai sumber vitamin dan mineral esensial yang amat kaya. Ikan merupakan produk laut yang mengandung asam lemak rantai panjang omega-3 (DHA) yang berperan  dalam pertumbuhan dan kesehatan. Mengingat betapa pentingnya manfaat ikan maka sangat penting para nelayan patuh terhadap Permen KKP No. 1 Tahun 2007 Tentang Pengendalian Sistem Jaminan Mutu dan Keamanan Hasil Perikanan utamanya Formalin. Metodologi penelitian ini adalah deskriptif kualitatif dengan analisis dari Miles Dan Hubermen dengan teknik pengambilan data melalui survey, kuesioner, dan wawancara. Penelitian menggali Persepsi Nelayan dengan alat tangkap Jaring Tarik Berkantong (JTB) pada armada kategori 30 GT, dari tanggal 7 November sampai 7 Desember 2022 bertempat di Pelabuhan Perikanan Nusantara Brondong. Hasil uji kualitatif formalin di Laboratorium Pelabuhan Perikanan Nusantara (PPN) Brondong pada keempat ikan sampel yaitu ikan jaket/bukur (Aluterus monoceros), kurisi (Nemipterus spp ), kakap merah (Lutjanus sp.) dan cumi-cumi (Loligo sp) diperoleh hasil formalin dengan indikator negatif (-). Hal tersebut diketahui karena ikan hasil tangkapan nelayan dengan  alat tangkap Jaring Tarik Berkantong (JTB) armada 30 GT tidak menggunakan formalin dan bahan pangan tambahan. Hasil dari uji laboratorium tentang kandungan formalin dinyatakan Negatif (-). Hasil analisis variabel X1 tentang kondisi ikan hasil tangkapan masih segar dengan jawaban  Setuju (S) 8,3%, Sangat Setuju (SS) 91,7%. Hasil variabel X2 tentang nelayan dan tengkulak sudah mengerti formalin tidak di perbolehkan dengan jawaban Setuju (S) 11,1%, dan Sangat Setuju (SS) 88,9%. Hasil analisis variabel Y tentang nelayan dan tengkulak sama –sama disiplin dan menolak pemakaian formalin dengan jawaban Setuju (S) 13,9%, Sangat Setuju (SS) 86,1%. Hal tersebut diketahui karena nelayan dan tengkulak mengetahui petugas setempat telah melakukan pengawasan terhadap mutu atau kualitas hasil tangkapan. Kepatuhan pada Permen KKP No 1 Tahun 2007 Tentang Pengendalian  Sistem Jaminan  Mutu dan Keamanan Hasil Perikanan, hal tersebut  diketahui para nelayan tidak menggunakan formalin dan bahan tambahan pangan serta menolak pemakaian formalin. Para nelayan dan beberapa tengkulak telah mengetahui bahaya tentang penggunaan formalin
Co-Authors A.A. Ketut Agung Cahyawan W AA Sudharmawan, AA Abadi, Slamet Abd. Rasyid Syamsuri Abda Abda Abdi, Nugraha Rangga Abdul Wahab Abshar, Fadiah Ulil Abu Bakar, Afarulrazi Ade Silvia Handayani Ade Silvia, Ade Adewasti, Adewasti Adi Widodo Afendy Widayat Afifah, Inas Agistiawati, Eva Agmeilia, Irene Friska Agung Mubyarto Agung, M. Zakuan AGUS MULIADI PUTRA, AGUS MULIADI Ahmad Fanani Ahmad Fauji, Ahmad AHMAD JUNAEDI Ahmad Taqwa Akbar Viertian Syaputra Akbar, Muhammad Hafidz Ali Nurdin Alqaaf, Muhammad Alvin, Fauzi Aman, Mustar Amanah, Nur Izzah Amelia, Dinda Ananto Aji, Ananto Ananto, Aji Andiani, Anip Andrean, Rio Angela, Flora Patricia Angelica, Ayu Anggela, Flora Fatricia Anggela, Flora Patricia Anggela, Flora Praticia Anggielita, Renata Anggraeni, Nadinda Via Anik Kurniawati Antoro, Landung Malik Anung Suwarno, Anung Anwar Efendi Anzil, Arsil Kultura Apik Budi Santoso Aprilia, Cheni Arti Apriliza, Anggia Nur Apriliza, Anggia Nur Arahman, Zulfikar Ardhany, Gladys Carissa Ari Fadli Aristasari, Deby Indah Arum Uktiani, Arum Aryati, Ani As'ad, Avif Asriyadi Asriyadi Astari, Fajar Ayu Astuti, Harwina Widya Azis Wisnu Widhi Nugraha Azis, Fareza Putri Azzahra, Vika Amalia Baiq Ahda Razula Apriyeni Basuki, Sucipto Benedikta Anna Haulian Siboro Bhupathiraju, Sivakumarraju Bramasta S, Hanggara Ditto Bregas Widya Pratama, Bregas Widya Buana, Chandra Budi Haryanto Budi Witjaksana, Budi Bursandy, Azimi Bursandy, Azimi Cahyawati, Cici Indah Chidir, Gusli Ciksadan, Ciksadan Dahlia Dahlia Damanik, Santy Afriaty Darmawan, Nabeela Reyhandini Daru Tri Nugroho Dasrina, Dasrina Denny Zebyan, Denny Dermawan, Totok Devy, Rosindi Arta Dewi Ayu Lestari Dewi Liesnoor Setyowati Dian Rianita Diana Ariswanti Triningtyas, Diana Ariswanti Diana Kartika, Futiat Diandono Kuntjoro Yoga Dianita Ratna Kusumastuti Difa, M Kelvin Dini Yuniar Safitri, Dini Yuniar Dolly Arthur Siregar, Dolly Arthur Doni Prayogo, Doni Duski Ibrahim, Duski dwi ayu lestari, dwi ayu Dwi Budiyanto Dwi Hapsari, Kartika Edy Yulianto Edy, Rizma Ruqayyah Eka Susanti Emilia Hesti Endang Wuryandini, Endang Endhar Gilang Pradipta, Endhar Endri, Jon Enjang Suherman Eny Latifah, Eny Erick Fernando B311087192 Erni Suharini Esmijati Esmijati, Esmijati ETI KURNIAWATI Fadhil, Moh Fadhilah, Zikry Fadhli, Mohammad Fadhli Fadlilah, Eva Shofiyatul Fahira, Salma Ridha Fahrudin, Gantar Fitra Faiz, A.Nazaruddin Farid Firmansyah Farida Asriani Fauzy M.R., Imam Febriyan, Muhammad Fadhiil Fikri, Muhamad Agung Ali Firman Aziz Fitriani, Anandha Garnis, Aishah Garnis, Aishah Gatot Wijayanto Gu, Kan Myon Gusriani, Atika Hadi, Hasrul Hafsa, Andi Halim, Nirmala Yunita Hanan, Reihan Fadhil Syah Hari Prasetijo Hari Siswantoro, Hari Hartono Hartono Hashin, Muhammad Hishin Al Hawayanti, Erni Hayudini, Magna Anissa A. Hendratri, Bhaswarendra Guntur Heppi Syofya, Heppi Heri Tjahjono Herlan Pratikto Herlidanara, Aldo Jeremia Herman Budiyono Hery Santoso, Muhammad Heryanto Heryanto Hesti Susilawati Hidayaty, Dwi Epty Hoeruddin, Hoeruddin Hulu, Paulinus Hutagalung, Dhaniel Ibnu Andli Marta Ibnu Ziad, Ibnu Igaa Noviekayati, Igaa Ilala, Oze Dora Inah, Inah Irawan Hadi IRAWAN, FERY Irma Salamah Islami, Qonitath Bella Isrida Yul Arifiana Istajib Kulla Himmy’azz Iswanto, Juni Iwan Harsono Jack H. Syauta Jamal Mahbub Joni Iskandar, Joni Jumiran, Jumiran Jumrotin, Jumrotin Junaidi Junaidi Jushermi Jushermi, Jushermi Karnama, Maman Mulya Karnawi Kamar, Karnawi Karolin Rista Katrina, Suraya Khan, Razia Khoirudin, Ahmad Khoirul Muslimin Khoirunnisaa, Alfina Krisna Rendi Awalludin Kumara, Gilang Fatah Langi, Jeffrey Payung Latif, Muhammad Faris Leni Novianti Lestari, Maria Sekar Listiawaty, Renny Liza Husnita Loso Judijanto Luh Putu Ratna Sundari Mafizatun Nurhayati Maharani, Aulya Maharani, Prita Yulia Mahfudlah Fajrie Maliatul Inayati, Maliatul Maman Mulya Karnama Maman Suryaman Manullang, Jessica M Maramis, Fandy Marchus Budi Utomo, Marchus Budi Marisdayana, Rara Marsudi Marsudi Martiwi, Wanala Abdillaika Martono Martono Marzuki Maudi, Mega Mawaidi, Mawaidi Mei Anjar Kumalasari Miftachul Munir Mila mila Moch., Arifien Moh.Hadi Mahmudi Mohamad Muslih Muakhor, Abdul Bari Kamal Mufarrohah, Mufarrohah Muhammad Adhimawan Wijaya Muhammad Eka Putra, Muhammad Eka Muhammad Erwin Muhammad Farid Muhammad Farid , Muhammad Farid Muhammad Nashrul Haqqi Muhtadan Muhtadan Mulasih, Mulasih Mulyadi, Wiwid Bangun Mulyo Wicaksono, Teguh Murdyantoro Am, Eko Murniati . Muthami’mah, Ervia Nur Mu’minah, Rina Ummatul Naim, Sidrotun Nalisa, Ganes Nalisa, Ganes Nasron Nasron Natakusuma, Adhitya Natakusuma, Adhitya Natalia, Anita NENI SUMARNI, NENI Ngurah Ayu Nyoman Murniati Niken Titi Pratitis Niken Titi Pratitis Ningsih, Fila Wahyu Nofriyanti, Duwi Nora Idiawati Nugroho , Rizki Wiji Nugroho, Danit Aji Nur Setiaji Pamungkas, Nur Setiaji Nurah, Nurah Nurasiah Nurasiah Nurhadi Nurhidayah Nurhidayah Nurlaila Mubarokah Nursanti, Yulis Nursyam, Aisyah Nurul Safarida, Nurul Nuryanti, Yulis Ohnishi, Masahiro Oktafian, Ananda Wahyu Oom Komalasari Pangesti, Rendy Dwi Parhadi Parhadi, Parhadi Pebrina, Erni Taruli Pereira, Maria Pertiwi, Devi Widya Pertiwi, Wike Pradana, Riska Pramuditha, Adeyuni Zada Prastya, Donny Prastyadi Wibawa Rahayu Pratama, Indah Sari Putri Pratitis, Niken Prawiro, Daniel Septo Prayugo, Muchammad Inggit Priharti, Rr. Dimas Veronica Prihatmoko, Andy Priswanto Priswanto, Priswanto Priyanto Priyanto Puji Hardati Puji Lestari, Nor Puji Wahyumi, Puji Pujiantoro, Azhar Abisya Purnama Putra, Surya Jaya Purnamasari, Aini Nadhifah Purno, Marhaendro Purnomo, Rafliansyah Ikhwan Muharram Purnomo, Widhiatmoko Herry Purwanto Bekti Santoso, Purwanto Bekti Puspasari, Ayu Puspita, Arum Listya Putra Muhammad Rifqi, Putra Muhammad Putri, Adisti Mashuri Putri, Amanda Kanaya Putri, Astriana Rahma Putri, Elfa Meirela Putri, Intan Maulidha Alifia Qobla, M. Marjuan Qosim, Marlin Ibnu Raharja, Ayang Talita Dinda Rahmawati, Arma Rakhman, M Arief Ramadhan, Aditya Retno Supriyanti Rifaldi, Kgs Muhammad Rio Devilito Risman Risman Rista, Karolin Riyanto Riyanto Romadhana, Winggo Rosa, Adelia Rosdiana Rosdiana Rosmala Dewi Rosyida, Yan Tamara S. Sugiharto S.T., M.T., DEDI BUDI SETIAWAN Saeed, Aishath Saefudin, Moh. Sahat Saragih Sally Cahyati Salsabila, Dinah Salsabila, Unik Hanifah Salsabila, Wilda Salma Samrotul Rizqiyah, Samrotul Sandraini, Ika Santi, Dyan Evita Saputra, Bagas Sardulo Gembong, Sardulo Sari, Eka Permata Saskia, Kevi Agis Sasono, Ipang Satria Ardhi Permana Satria, Muhammad Diffa Savitri, Citra Septyawati, Diana Setiaji Pamungkas, Nur Setiawan, Sukma Bayu Setiyono, Karnawan Joko Setiyowati, Iin Setyaningsih, Desi Shrestha, Prabin Sihotang, Manorang Simorangkir, Yosua Novembrianto Singgih, Eman Siti Maesaroh SITI MARYANI Slamet Untung Sofyandi, Asep Solaiman, Saddam Mangondato Sopian Soim, Sopian Sopyan, Dedi Sri Nuraini, Sri Sri Sayekti Sri Wahyuni Sri Widyarti Stefanus Santosa Subakir Subakir Subhani, Armin - Subhi, Muhamad Rifa’i Sudarmanto, Eko Sudiati Sudiati Sudjatno, Agus Sudrajat, Didi Sugiarti, Laras Sih Sugiarti, Laras Sih Sugiarto S Sugiharto, Jessica Rahardja Suhendrianto Suhendrianto, Suhendrianto Suhendro, Budi Suherman, Aleida Istiqomah Suherman, Enjang Sujatno Sujatno SUKAMTI . Sukoco, Nesa Sukriyah, Sukriyah Sulaiman, Sri Wahyuningsih Sulaiman, Sriwahyuningsih SULISTIA, SULISTIA Sulistiyo, Andri Sulistiyowati, Lisa Sunarko Sunarko Suparman Suparman suprapto, Mohammad Nur suprapto, Mohammad Nur Supriyadi Supriyadi Supriyo Supriyo Suratiah, Siti Susanti, Amelia Susmala Dewi Suwardi Suwardi Suwarto Suwarto Syahroni, Muhammad Pupung Syifa Pramudita Faddila T, Najdah Tantri Wenny Sitanggang Tatik Meiyuntariningsih Thabroni, Feri Tiara, Beby Tjaturahono Budi Sanjoto Toh Hua, Chua Toshihiko Noguchi Triwahyuni Wardhany Triwardaya Triwardaya, Triwardaya Tsania , Syita Tukidi Tukidi, Tukidi Tutut Handayani Ulhaq, Nida Dhia Vanessa Vanessa Vemi Widoanindyawati Wahjoedi Wahjoedi Wahyono, Herry Ludiro Wahyu Mulyo Utomo Wahyu Setyaningsih Wahyu Widanarto, Wahyu Wahyu Widiyanto, Wahyu Wardani, Fitriani Pramudya Wasilah Wasilah Wasino Wasino Wasitoh Meirani Widawati, Dwi Widiastuti, Sri Hunun Wijang Iswara Mukti Wilarsih, Endah Wildana Latif Mahmudi, Wildana Latif WINANTI, WINANTI Winasis Winasis Wirgiyanto, Ign Agus Purbhadi Wisnu Kurniawan Wiwik Handayani Wiyono, Nuri Wulandari, Amila Suci Xafier, Yos Yahya S.B., Lalu Yanti, Zherry Putria yanto, Adi Yanuar Haryanto Yogi Ramadhani Yudha, Trigasi Ayu Carina Yundari, Yundari Yuniar, Hesti Firza Yuniarti, Lisa Yusetyowati Yusetyowati, Yusetyowati Yusiana, Ekalia Yustinus Purwamargapratala Zaenal Muttaqin Zahra Haj Pertiwi