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All Journal International Journal of Electrical and Computer Engineering Jurnal Agronomi Indonesia (Indonesian Journal of Agronomy) Jurnal Hortikultura Indonesia (JHI) Jurnal Kebidanan DIKSI Jurnal Penelitian Fisika dan Aplikasinya (JPFA) KADIKMA PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Teknosains Hunafa: Jurnal Studia Islamika Jurnal Ilmiah Mahasiswa FEB Paradigma: Jurnal Masalah Sosial, Politik, dan Kebijakan JINOP (Jurnal Inovasi Pembelajaran) JOURNAL OF HEALTHCARE TECHNOLOGY AND MEDICINE Madrasah: Jurnal Pendidikan dan Pembelajaran Dasar Science and Technology Indonesia Muaddib : Studi Kependidikan dan Keislaman Dinamisia: Jurnal Pengabdian Kepada Masyarakat Ijaz Arabi Journal of Arabic Learning Pendas : Jurnah Ilmiah Pendidikan Dasar KACANEGARA Jurnal Pengabdian pada Masyarakat Martabe : Jurnal Pengabdian Kepada Masyarakat CARADDE: Jurnal Pengabdian Kepada Masyarakat Journal AL-MUDARRIS Ta`Limuna : Jurnal Pendidikan Islam Gorontalo Accounting Journal Jambura Journal of Linguistics and Literature Satwika : Kajian Ilmu Budaya dan Perubahan Sosial PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat EDUKATIF : JURNAL ILMU PENDIDIKAN Hasta Wiyata Patrawidya: Seri Penerbitan Penelitian Sejarah dan Budaya Peksos: Jurnal Ilmiah Pekerjaan Sosial Jurnal Ilmiah Kebidanan Indonesia (Indonesian Midwifery Scientific Journal) Journal of Electronics, Electromedical Engineering, and Medical Informatics J-PIPS (Jurnal Pendidikan Ilmu Pengetahuan Sosial) Jurnal Migasian Akamigas Balongan Indramayu Akta Agrosia Proceedings of Annual Conference for Muslim Scholars Jurnal Abdi: Media Pengabdian Kepada Masyarakat Tadrisuna : Jurnal Pendidikan Islam dan Kajian Keislaman Journal of Environmental Science and Sustainable Development Jurnal Berdaya Mandiri Indonesian Journal of Electrical Engineering and Computer Science JIIP (Jurnal Ilmiah Ilmu Pendidikan) Piwulang: Jurnal Pendidikan Agama Islam Community Development Journal: Jurnal Pengabdian Masyarakat Jurnal Abdidas Edukimia SEMAR Jurnal Analisis Hukum Bioeduca : Journal of Biology Education Jurnal Agroteknologi dan Pertanian (JURAGAN) Jurnal Inovasi Pembelajaran di Sekolah Anjoro : International Journal of Agriculture and Business Journal of Applied Nursing and Health Universitas Muhammadiyah Yogyakarta Undergraduate Conference Proceeding El-Izdiwaj: Indonesian Journal of Civil and Islamic Family Law Jurnal Pembelajaran Sastra Journal International of Lingua and Technology KOMMAS: Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmiah Pendidikan Dasar (JIPDAS) Prosiding University Research Colloquium Aurelia: Jurnal Penelitian dan Pengabdian Masyarakat Indonesia Newton-Maxwell Journal of Physics Saintek: Jurnal Sains Teknologi dan Profesi Akademi Angkatan Laut Jurnal Pengabdian Masyarakat Bangsa Jurnal AGRISEP: Kajian Masalah Sosial Ekonomi Pertanian dan Agribisnis IHSAN : Jurnal Pendidikan Islam Journal Accounting International Mount Hope Electronic Integrated Computer Algorithm Journal Future Academia : The Journal of Multidisciplinary Research on Scientific and Advanced Maharot : Journal of Islamic Education PANDALUNGAN : Jurnal Pengabdian kepada Masyarakat Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Konstruktivisme : Jurnal Pendidikan dan Pembelajaran FIKROTUNA: Jurnal Pendidikan dan Manajemen Islam Edutechnium Journal of Educational Technology Indonesian Journal of Humanities and Social Sciences Indonesian Journal of Pharmacology and Therapy Jurnal Cendekia Ilmiah Equiva Jurnal Inovasi Pembelajaran Warta Penelitian Perhubungan Midwifery Journal Tapis : Jurnal Penelitian Ilmiah Jurnal Agroteknologi dan Pertanian (JURAGAN) Jurnal Tarbiyatuna : Kajian Pendidikan Islam JSP: Jurnal Studi Pesantren
Umi Salamah
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Identification of CO2 , SO2 , and a Mixture of Both Gases Using Optical Imaging Combined with Convolutional Neural Network (CNN) Salamah, Umi; Sakti, Setyawan Purnomo; Naba, Agus; Soetedjo, Hariyadi
Science and Technology Indonesia Vol. 9 No. 2 (2024): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2024.9.2.371-379

Abstract

CO2 and SO2 gases are utilized in various industrial applications and are subjects of environmental research. However, these gases are considered toxic and pose dangers at certain concentrations. Therefore, it is crucial to monitor and control the exposure to these gases in the environment to prevent reaching hazardous levels that could endanger both humans and the environment. A non-contact detection and monitoring system is essential to minimize the adverse effects of direct gas exposure. In this research, a non-contact detection system for CO2, SO2, and mixed gases was developed using optical imaging analysis generated by infrared cameras. The images were captured using the FLIR Vue Pro-R infrared camera, with infrared absorbing gas sourced from a 50-watt tungsten lamp. Visual identification of these gases through optical imaging is challenging; however, this study successfully identified these gases using a Convolutional Neural Network (CNN). The CNN architecture used in this study is DenseNet (Densely Connected Convolutional Networks), comprising 169 convolution layers. The CNN model was trained and tested on experimental optical imaging data, categorized into three classes: CO2, SO2, and a mixture of gases. A total of 1030 optical imaging data points were utilized for training. Training was conducted using the AdamW optimization function over 28 epochs. The evaluation of results yielded accuracy, precision, recall, and F1-score metrics. The novelty of this study lies in the successful identification of CO2, SO2, and their mixture by the CNN model with an accuracy of 85%. Precision, recall, and F1-score values are all 0.85. These results indicate that the CNN model effectively distinguishes optical imaging of each gas (CO2, SO2, and their mixture) consistently and accurately. Consequently, it can be concluded that the CNN model performs well in distinguishing between these gases in optical imaging analysis.
Hubungan Pengetahuan dan Sikap Remaja Putri terhadap Perilaku Penanganan Dismenore Salamah, Umi
Jurnal Ilmiah Kebidanan Indonesia Vol 9 No 03 (2019): Jurnal Ilmiah Kebidanan Indonesia (Indonesian Midwifery Scientific Journal) Seko
Publisher : Q PRESS

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (220.856 KB) | DOI: 10.33221/jiki.v9i03.382

Abstract

Disminore adalah nyeri pada bagian bahwa yang bisa menjalar ke punggung bagian bawah dismenore sekunder berarti nyeri panggul yang disebabkan oleh gangguan atau penyakit. . Pada umumnya wanita merasakan keluhan berupa nyeri atau kram perut menjelang haid yang dapat berlangsung hingga 2-3 hari, dimulai sehari sebelum mulai haid. Penelitian ini bertujuan untuk mengetahui apakah ada hubungan antara pengetahuan remaja putri dengan perilaku. Penelitian menggunakan survey dengan pendekatan kuantitatif dengan desain cross sectional, jumlah sampel sebanyak 86 responden. Responden yang berpengetahuan baik sebanyak 67 orang (77,9%) dan yang berpengetahuan buruk sebanyak 19 orang (22,1%). Responden yang mempunyai sikap yang baik sebanyak 53 orang (61,6%) dan yang bersikap buruk sebanyak 33 orang (38,4%). Responden yang berperilaku baik sebanyak 55 orang (64%) dan yang berperilaku buruk sebanyak 31 orang (46%). Berdasarkan analisa data didapatkan hasil bahwa variabel yang tidak berhubungan dengan Perilaku siswi terhadap penanganan dismenore adalah Pengetahuan (P= 0,057), sedangkan variabel yang berhubungan adalah variabel Sikap (P=0,013). Oleh karena itu disarankan untuk meningkatkan kesadaran terhadap kesehatan reproduksi wanita khususnya yang berhubungan dengan penanganan dismenore. Dengan pengadaan kegiatan penyuluhan baik secara individu maupun kelompok yang bekerja sama dengan tenaga instansi kesehatan setempat.
Effect of Hand and Foot Massage Toward Pain Level in Postpartum Mother with Sectio Caesarea: Case Report Salamah, Umi; Astuti, Yuni
Proceedings of Universitas Muhammadiyah Yogyakarta Graduate Conference Vol. 2 No. 2 (2023): Strengthening Youth Potential for Sustainable Innovation
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/umygrace.v2i2.509

Abstract

Introduction Pain in post SC patients makes the patient disturbed and uncomfortable. This sensation makes the individual feel tormented, eventually interfering with activities, affecting sleep quality, and slowing down the wound healing process. One of the CAM methods used is hand and foot massage. Purpose To know how the hand and foot massage can influence in pain levels in postpartum mothers after post-cesarean. Methodology The method used is a case report taken during practice at PKU Muhammadiyah Bantul Hospital. The case report taken by the researcher was the patient Mrs A is 28 years old G0P1A0 with 39+1 weeks of gestation for indications of premature rupture membranes and breech presentation of the baby. The patient said this was the patient's first experience of doing an SC and the first experience of feeling post-SC pain. The patient was given massage therapy with hand and foot massage on post-SC postpartum mothers, the massage therapy on hand and foot for 2x24 hours. The Hand and foot massage therapy was given to the patient three times a day, a duration of 5 minutes for hands massage and 10-15 minutes for foot massage. Finding The level pain of a postpartum mother will decreased after hand and foot massage. The level of pain from postpartum mother will decrease from 6 to 3-4 after given foot and hand massage. This case report can be used as a CAM therapy to make pain in postpartum mothers with SC decreased.
PENINGKATAN KEMAMPUAN MENGENAL HURUF MELALUI PERMAINAN PANCING HURUF (PANHUF) DI KELOMPOK B TK NEGERI KINTELAN SEMARANG Salamah, Umi
Jurnal Inovasi Pembelajaran di Sekolah Vol 3 No 2 (2022): Jurnal Inovasi Pembelajaran di Sekolah
Publisher : Persatuan Guru Republik Indonesia Kota Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51874/jips.v3i2.63

Abstract

This report is a study on improving the ability to recognize letters in early childhood through the letter fishing game in group B of Kintelan State Kindergarten, namely: (a) What was the condition of the ability to recognize letters before the use of the panhuf game with letter fishing media in Kintelan State Kindergarten? (b) How is the implementation of the learning process to recognize letters using the media fishing game for the children in group B of Kindergarten Kintelan State? (c) How to increase the ability to recognize letters in group B in Kintelan State Kindergarten after applying letter fishing media? with the letter fishing game is to get an idea of ​​the increasing ability of children to recognize letters through playing with letter fishing media. Learning the ability to play letter fishing in group B at Kindergarten Kintelan State is by using supporting tools, namely photos of learning outcomes and observation notes. Increasing knowing letters with panhuf games, 1) can make the atmosphere happy and children become enthusiastic, 2) Learning with letter fishing makes children active in participating in letter recognition activities, 3) letter fishing activities make children interested in playing, 4) Letter fishing learning can improve children in learning to recognize letters at Kintelan State Kindergarten.
The use of genetic algorithm and particle swarm optimization on tiered feature selection method in machine learning-based coronary heart disease diagnosis system Wiharto, Wiharto; Mufidah, Yasmin; Salamah, Umi; Suryani, Esti; Setyawan, Sigit
International Journal of Electrical and Computer Engineering (IJECE) Vol 14, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v14i4.pp4563-4576

Abstract

Coronary heart disease (CHD) is a leading global cause of death. Early detection is the right step to reduce mortality rates and treatment costs. Early detection can be developed using machine learning by utilizing patient medical record datasets. Unfortunately, this dataset has excessive features which can reduce machine learning performance. For this reason, it is necessary to reduce the number of redundant features and irrelevant data to improve machine learning performance. Therefore, this research proposes a tiered of feature selection model with genetic algorithm (GA) and particle swarm optimization (PSO) to improve the performance of the diagnosis model. The feature selection model is evaluated using parameters derived from the confusion matrix and using the CatBoost machine learning algorithm. Model testing uses z-Alizadeh Sani, Cleveland, Statlog, and Hungarian datasets. The best results for this model were obtained on the z-Alizadeh Sani dataset with 6 selected features from 54 features and the resulting performance for accuracy parameters was 99.32%, specificity 98.57%, sensitivity 100.00%, area under the curve (AUC) 99.28%, and F1-Score 99.37%. The proposed feature selection model is able to provide machine learning performance in the very good category. The diagnostic model proposed is of excellent standard.
PELATIHAN OPTIMASI IRIGASI SMART FARMING DI KALURAHAN SERUT, GEDANGSARI, GUNUNG KIDUL Adi, Yudi Ari; Salamah, Umi; Haryadi, Bagus; Roka Aji, Oktira; Zul Ardi, Subhan; Rossa Puteri Baharie, Sri
Jurnal Berdaya Mandiri Vol. 6 No. 2 (2024): JURNAL BERDAYA MANDIRI (JBM)
Publisher : Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/jbm.v6i2.6145

Abstract

The banana commodity is one of the prioritized commodities in Gunung Kidul Regency. The Young Farmers' Studio and Youth Organization “Solid Berkarya” in Serut Village are trying to develop banana plants by managing critical land into productive land using smart-farming irrigation systems. The concept of smart farming includes using technology such as sensors, connected devices (IoT), data analytics, artificial intelligence, and agricultural management software to create an efficient farming system. The irrigation system needs to apply optimization of timing and intensity tailored to the needs of the plants. The geographical terraced land conditions require unique methods to maximize agricultural yields. In banana cultivation, geographical conditions, climate, soil conditions, and water availability are crucial, so the community's knowledge and skills in irrigation on critical land must be improved. Therefore, banana irrigation training is conducted in this community service, especially related to water availability optimization. In this training, the participant's level of knowledge is measured by conducting pre-tests and post-tests related to irrigation optimization materials. From the test results, it can be seen that there is an increase in community knowledge from 6.44 before training to 9.0 after training. Thus, there is an increase in knowledge by 53.4%. The level of community satisfaction with the implementation of this service activity is 96.43%. keywords: Serut Village, Optimization, Smart-farming, Irrigation
PENGARUH METODE PEMBERIAN PUPUK ORGANIK CAIR LIMBAH RUMAH TANGGA TERHADAP SERAPAN P DAN HASIL JAGUNG MANIS DI ENTISOLS salamah, umi; Putri, Masmoni Ade; Widiyono, Heru; Barchia, M Faiz; Herman, Welly
Jurnal Agroteknologi dan Pertanian (JURAGAN) Vol 3 No 1 (2022): JURAGAN (JURNAL AGROTEKNOLOGI DAN PERTANIAN) April 2022
Publisher : LPPM Universitas Bina Insan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/juragan.v2i2.73

Abstract

Tanah entisol memiliki masalah terhadap sifat fisik dan kimianya. Sehingga membutuhkan pupuk organik cair dapat meningkatkan aktifitas biologi, kimia, dan fisik tanah. Penelitian ini bertujuan untuk mendapatkan metode pemberian pupuk organik cair limbah rumah tangga yang tepat terhadap serapan P dan hasil tanaman jagung manis (Zea mays var saccharata sturt) pada tanah entisols. Penelitian ini telah dilaksanakan pada Juli - September 2020 di Kelurahan Beringin Raya, Kecamatan Muara Bangkahulu, Kota Bengkulu. Penelitian disusun menggunakan Rancangan Acak Lengkap (RAL) faktor tunggal. Perlakuan dalam penelitian ini adalah kombinasi dari metode aplikasi POC dan konsentrasi POC. Metode aplikasi POC meliputi disemprotkan ke daun, disiram ke tanah, serta disemprtokan ke daun dan disiram ke tanah, sedangan konsentrasi yang digunakan adalah 100 ml/L, 200 ml/L, 300 ml/L, dan 400 ml/L. Hasil penelitian menunjukkan bahwa metode aplikasi POC yang disemprotkan ke daun dan tanah dengan konsetrasi 300 ml/L adalah yang paling tepat. Hal ini dapat dilihat dari P-jaringan tertinggi yaitu 0,40%, serapan P tertinggi yaitu 1,58 g, tinggi tanaman tertinggi yaitu setinggi 233,67 cm, bobot brangkasan kering terberat yaitu 395,90 g, diameter tongkol terbesar yaitu 67,20 mm, dan bobot tongkol berkelobot terberat yaitu 450,67 g. Namun hasilnya tidak berbeda nyata dengan aplikasi POC yang disemprotkan ke daun dengan konsentrasi 100 ml/L air. Hal ini dibuktikan pada nilai hasil tinggi tanaman 205,67 cm, diameter tongkol 61,88 mm dan bobot tongkol berkelobot 408,67 g. Sehingga aplikasi POC yang disemprotkan ke daun dengan konsentrasi 100 ml/L air lebih baik dari segi ekonomis dan efisiensi.
Analisis Hirarki Proses dalam Pemilihan Detergen Soft Eco Enzime (SEE), Detergen Eco Enzyme (EE), dan Detergen Kimia Salamah, Umi; Nisa, Intan Chairun; Juliadi, Ertawan; Moestin, Moestin
Saintek: Jurnal Sains Teknologi dan Profesi Akademi Angkatan Laut Vol. 16 No. 2 (2023)
Publisher : AKADEMI ANGKATAN LAUT

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59447/saintek.v16i2.130

Abstract

Surfactant waste produced by detergents with chemicals causes water and soil to be polluted. Water as a vital human need must be saved from pollution by waste, so it is necessary to find innovations in the use of laundry detergents using environmentally friendly materials. This study conducted experiments using 3 kinds of detergents, namely: 1) A. MES and SEE, 2) B. MES and EE, and 3) C. MES and Chemistry. Experiments on the use of detergents with respondents of AAL Community Service Assistance residents in Pesapen Surabaya. There are 5 criteria for assessing and selecting detergent, namely: 1) cleaning power, 2) softness of clothing, 3) Effect on color, 4) power to kill bacteria, and 5) the cost of purchasing detergent manufacturing materials. In analyzing the 3 criteria 1), 2) and 3) using hierarchical process analysis, criterion 5) is calculated by comparing the manufacturing costs incurred. As for criterion 4), laboratory tests will be carried out as the next research step. The results of the AHP of the best-selected detergent are A. MES and SEE. Given that SEE is an EE whose fermentation is at least 6 months, it is recommended to use SEE for the manufacture of detergent. Limbah surfaktan yang dihasilkan oleh detergent dengan bahan kimia menyebabkan air dan tanah tercemar. Air sebagai kebutuhan vital manusia harus diselamatkan dari pencemaran oleh limbah, maka perlu mencari inovasi penggunaan detergen cuci pakaian dengan menggunakan bahan yang ramah lingkungan. Penelitian ini melakukan eksperimen penggunaan 3 macam detergen yaitu: 1) A. MES dan SEE, 2) B. MES dan EE, dan 3) C. MES dan Kimia. Eksperimen penggunaan detergen dengan responden warga Binaan Pengabdian kepada Masyarakat AAL di Pesapen Surabaya. Kriteria penilaian dan pemilihan detergent ada 5 yaitu: 1) daya bersih, 2) kelembutan Pakaian, 3) Efek terhadap warna, 4) daya membunuh bakteri, dan 5) biaya pembelian bahan pembuatan detergent. Dalam menganalisis 3 kriteria 1), 2) dan 3) menggunakan Analisis hirarki proses, sedangkan untuk kriteria 5) dihitung dengan membandingkan biaya pembuatan yang keluarkan. Sedangkan untuk kriteria 4) akan dilakukan uji laboratorium sebagai langkah penelitian selanjutnya. Hasil dari AHP detergen yang terpilih terbaik adalah A. MES dan SEE. Mengingat SEE adalah EE yang fermentasinya minimal 6 bulan, maka untuk pembuatan ditergen disarankan menggunakan SEE.
Fabrication of pbs films for air mass filter of solar simulator Hilmi, Isom; Kusuma, Damar Yoga; Soetedjo, Hariyadi; Hidayah, Qonitatul; Salamah, Umi
Jurnal Teknosains Vol 13, No 2 (2024): June
Publisher : Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/teknosains.88846

Abstract

The production of solar panels is continuously increasing due to increasing demands at industrial and residential levels. This also leads to an increasing demand for solar simulator testing tools. A solar simulator is a tool to assess a solar panel's performance in lab and industry scales. One of the main components of the solar simulator is the Air Mass Filter (AMF). The primary function of AMF is to remove unwanted wave bands from the solar simulator light source (e.g., Xe arc lamp) so that the filtered spectrum is commensurate to that of solar irradiation. An AMF can be produced by fabricating a thin material layer on a transparent substrate like glass. The film would absorb certain wave bands in different ways. This paper reports the fabrication of the chalcogenide PbS thin films for applying AMF. The thermal evaporation technique is used for the film fabrication. PbS is known for its versatility for applications in different optical devices due to its tailorable optical properties. Different amounts (in grams) of PbS source powders are used to deposit the PbS thin films. The optical properties of the films are then examined using UV-Vis spectroscopy. The distributions of the transmittance intensity of the Xe-arc-lamp light with and without the use of the films as an optical filter are then examined using a solar simulator. From the experiments, the film deposited using a 0.012 g PbS powder source is regarded as the optimum one regarding the transmittance intensity distribution.
Study of food waste of farmers' households in Klaten to support food security Saputro, Wahyu Adhi; Purnomo, Singgih; Salamah, Umi
Anjoro: International Journal of Agriculture and Business Vol 2 No 2 (2021): Anjoro
Publisher : Agribusiness Department, Agriculture and Forestry Faculty, Universitas Sulawesi Barat, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (206.621 KB) | DOI: 10.31605/anjoro.v2i2.1166

Abstract

Food waste is a global issue that has been around for a long time but is unconsciously becoming more serious. This is also experienced by Indonesia, which also contributes to donating food waste. Food waste can occur from upstream to downstream from production to consumption. Farmers as actors in food production are also not spared from food waste behavior. This study aims to determine what factors affect food waste for farmer households in Klaten Regency. In addition, it provides ways of handling non-consumable food and strategic recommendations for the government in responding to the phenomenon of food waste to support food security. The method used in this research is descriptive-analytical. The number of samples used was 30 farmers in Klaten Regency. The selection of Klaten as the research location was determined purposively because this location is the largest rice-producing area in Central Java. The data analysis method used in this research is multiple regression. The results showed that two variables affect food waste: the level of education and the number of family members. The significance value of the two variables is 0.0000, so that the value is less than the alpha value of 0.05. Inadvertently, some households have processed the leftover food, such as making it as organic fertilizer. In addition, several households provide leftover food to livestock. The strategic step that the government must take in tackling this food waste problem is to conduct a massive campaign and, if necessary, implement it in the education system so that people are more aware of food waste.
Co-Authors Abdul Bashith Abdurrahman, Annas Agus Budianto Agus Naba Aishnabila, Shinta Akhwani Akhwani, Akhwani Al Khowarizmi Alwiyah Alwiyah Andi Prastowo Andromeda Andromeda Anggraeini, Cita Anggraeni Dwi Puspita , Reny Anggraeni, Feny Dwi Anis Fauzi, Anis Apik Rusdiarna Indra Praja Aprilia K. D, Novi Ardi, Subhan Zul Arofi, Mohammad Fahmi AS, Adelia Atina, Vihi Azahra, Elsa Bahtiar Bahtiar Bambang Gonggo Murcitro Barchia, M Faiz Bustaman, Hendri Bustaman, Hendri Cornelia Sugijantoro, Alviana Dewi, Mellita Diah Agustina Prihastiwi Dina Mayadiana Suwarma Djutaharta, Triasih Donwill Panggabean Dwi Ardiansyah, Nico Dwi Finna Syolendra EDHI TURMUDI Eka Saputra, Helfi Elen Puspitasari Endang Purwanti Endang Sumarti Ery purwanti Esti Suryani Fachry Abda El Rahman Faiha, Dhea Kirana Farizza, Rifqi Al Fatkhurozak, Fatkhurozak Fauziah, Salsa Alya Fernando, Riky Fitria, Humairah Ghozali Maski Hadi Sasongko, Hadi HAJRIAL ASWIDINNOOR Halimatus Sa’diyah Hanis Ratnasari Hariyadi Soetedjo Haryadi, Bagus Herlawati Herlawati Herman, Welly Heru Widiyono, Heru Hidaayah, Nur Hidayatulloh, Arif Hilmi, Isom Humang, Windra Priatna Husna, Muhimmatul I.P, Apik Rusdiarna Ikhsan, M. Alifudin Ilfi Nur Diana Intan Chairun Nisa Jenuri Joni Iskandar, Joni Juliadi, Ertawan Kasuwi Saiban Khasanah, Muthi’atul Khasbulloh, M. Wahab Khodijah Khodijah Khoirul Anam, Faris Kusuma, Damar Yoga Kusumo, Djati Wulan Lando, Guspitasari Lindawati Lindawati Lioni Anka Monalisa, Lioni Anka Lismaiyar Lula Nadia Lupitasari, Florentina Bety Indah M Choirul Muzaini M. Luthfi Oktarianto M. Yamin Jinca Mahir, Imran Maimun, Ach. Makhrus, Ali Mardhotillah, Rachma Rizqina Marwanto Marwanto, Marwanto Mas’udah, Laili Maulana Fatih Falahuddin Maulidya Ulfa, Halimatussadiah Merakati Handajaningsih Misbahul Munir Moestin, Moestin Moh Nadhif Mohamad Yusak Anshori Mufidah, Yasmin Muhammad Kaulan Karima Muhammad Taufiq Muharjono, Muharjono Muliyono, Nurwakhid Mulyana, Desi Nurlaela Muryani, Susi Mutholingah, Siti Muzdalifah, Zahrotul Nadatien, Ima Nafi’ah, Nafi’ah Naysilla, Nawang Nindita, Anggi Noviyanti, Rinda - Novyriana, Ekka Nugraha, Nursila Dwi Nur Hayati Nur Khasanah Nurhidayati, Titin Nuriyah, Silfiyatin Nurlaily, Diana Oktira Roka Aji Permatasari, Eka Diana Persada, Yuris Indria Pidegso, Seno Tri Pradityo Utomo Prakisya, Nurcahya PT Pramudiyanti Pratama, Fadil Priatna, Agnes Hilmi Putri, Della K. Putri, Masmoni Ade Qonitatul Hidayah Qonitatul Hidayah Qusaeri, Muammar Afif Al Rahmat Rahmat Rahmatan Idul Rahmawan, Rizki Dwi Rahmayani Rahmayani Rapiqi, M. Ratnasari, Khurin'in Raudhatun Nuzul ZA, Raudhatun Razak, Faisal Rizki, Aji Nur Rofiatul Hosna Rofiq, M. Nafiur Rokhyanto Rokhyanto, Rokhyanto Rossa Puteri Baharie, Sri Roza Yulida Sa'dun Akbar Said, Achmad Said, Akhmad Salsabila, Alfiyyah Samosir, Omas B. Sarbaini Sayama Malabar Setioko, Sigit Setyawan Purnomo Sakti Shorea Khaswarina Sihwi, Sari W. Singgih Purnomo Siswahyudianto Siti Helmyati Siti Mutholingah Sopar Sri Handayaningsih Sri Rosita Sumardi . Sunarti, Zeni Supanjani, Supanjani Supanjani, Supanjani Supriyati, Vidia Ajeng Susanto Susanto Tri Anggraeni Tri Widodo Triyo Supriyatno Ubaidillah, Ibnu Udi, Siti Muslima W. Ulfa, Mariya Vera Yuli Erviana Vika Zahara, Nur Wahyu Adhi Saputro Wahyu Widodo Wahyuni Ganefianti, Dwi Widhiastuti, Ratna Widodo Widodo Widodo, Yessy Pramita Wiharto Wiharto Wiharto Wiliyanto, Wiliyanto Willy Bayuardi Suwarno Wisnu Widiarto Yenny Sariasih Yudha, Ery Permana Yudi Ari Adi, Yudi Ari Yuni Astuti Yuniawatika Zaenal Abidin Zaenu Zuhdi Zaki, Amin Zul Ardi, Subhan