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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) International Journal of Advances in Applied Sciences Media Kesehatan Masyarakat Indonesia BERKALA FISIKA MATEMATIKA SAINS DAN MATEMATIKA JURNAL SISTEM INFORMASI BISNIS YOUNGSTER PHYSICS JOURNAL Jurnal Sistem Komputer Speed - Sentra Penelitian Engineering dan Edukasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi Jurnal Imejing Diagnostik Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Manajemen Kesehatan Indonesia Jurnal Teknologi dan Sistem Komputer Informatika Mulawarman: Jurnal Ilmiah Ilmu Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal Of Vocational Health Studies Jurnal Penelitian Pendidikan IPA (JPPIPA) Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Teknoinfo Journal of Physics and Its Applications JURTEKSI Unnes Journal of Public Health Jurnal Komunika : Jurnal Komunikasi, Media dan Informatika JARES (Journal of Academic Research and Sciences) Jurnal Manajemen Informasi Kesehatan Indonesia (JMIKI) Journal of Electronics, Electromedical Engineering, and Medical Informatics Journal of Information Systems and Informatics Jurnal Teknik Elektro dan Komputasi (ELKOM) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Aisyah : Jurnal Ilmu Kesehatan Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Media Publikasi Promosi Kesehatan Indonesia (MPPKI) Jurnal Multidisiplin Madani (MUDIMA) East Asian Journal of Multidisciplinary Research (EAJMR) Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram Makara Journal of Technology International Journal Of Health And Social Behavior

Kusworo Adi

Jurusan Fisika, Fakultas Sains Dan Matematika, Universitas Diponegoro Jl. Prof. Soedharto, SH., Tembalang, Semarang, Jawa Tengah

Author-ID : 219451

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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PERBANDINGAN METODE SEGMENTASI OTOMATIS REGION OF INTEREST DAN K-MEAN CLUSTERING PADA APLIKASI DETEKSI KUALITAS DAGING SAPI BERBASIS MOBILE Nurhayati, Oky Dwi; -, kusworo adi
Jurnal Sistem Komputer Vol 10, No 1 (2020)
Publisher : Jurnal Sistem Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jsk.v10i1.182

The importance of the beef quality detection plays an essential role in coping with one of problems related to the distribution of poor beef quality. The beef quality is highly determined by a number of parameters such as size, texture, colour features and odor. Today, to determine the beef quality is conducted by observing the colour or form. As a consequence, this method still has many weaknesses such as in the human assessment that might be still subjective and inconsistent. This research aims making an application to detect the beef quality by using a number of phases of image processing in detail and by comparing the accuracy of two segmentation methods being used. The application was made using the operational system of Android integrated with SDK Android, library OpenCV and Eclipse. Image processing phase consisted of the pre-image processing of greyish level, histogram equalization, segmentation of Region of Interest, segmentation of k-mean clustering, and analysis on the texture by extracting the features of each digital beef images. The final phase of this research was to measure the higher level of accuracy from two segmentation methods. The proposed method could provide the accuracy of k-mean segmentation around 80%; while, the segmentation of ROI provided the accuracy at 90%.

Land-use suitability evaluation for organic rice cultivation using fuzzy-AHP ELECTRE method Ali, Ircham; Gunawan, Vincensius; Adi, Kusworo
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 7, No 1 (2021): January
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v7i1.2080

Land conversion to organic agriculture is the answer to land degradation problems that interfere with land resources sustainability. An evaluation of land-use suitability is crucial to measure the appropriateness of land for agricultural cultivation. Specifically, organic rice cultivation has some particular standard criteria such as temperature, rainfall, soil depth, pH, c-organic, slope, erosion level, a transition period that influence ranking results, and land suitability classes. Eight organic farmlands were used as alternatives, namely Sawangan, Mangunsari, Tirtosari, Podosoko, Butuh, Krogowanan, Kapuhan, and Jati. Fuzzy Analytic Hierarchy process is used to determine the level of importance of the criteria based on weight assessments by three agricultural experts. The ELECTRE method is applied to rank the most suitable land from several alternatives for organic rice cultivation. The combination of these two multi-criteria decision-making methods complements each other to solve problems in land suitability evaluation. A web-based decision support system (DSS) was created to accelerate data processing integration and present factual information from the land suitability selection process. The implementation of DSS with fuzzy-AHP ELECTRE for evaluating land-use suitability in organic rice cultivation provided the best score for Tirtosari with Ekl=4 and spearman rank correlation the system comparison results with actual data rs=0.95. This study's results indicate that integrating the web with fuzzy-AHP ELECTRE is quite effectively applied for decision-making in organic farming.

Evaluasi Aplikasi Pengembangan Karir dan Kewirausahaan pada Aplikasi Perkasa Universitas Mulawarman Menggunakan Framework COBIT 5 Muhammad Rivani Ibrahim; Linda Nuryanti; Kusworo Adi; Aris Puji Widodo
Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer Vol 15, No 2 (2020): Informatika Mulawarman : Jurnal Ilmiah Ilmu Komputer
Publisher : Mulawarman University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30872/jim.v15i2.4887

Universitas Mulawarman memiliki sistem informasi pelatihan dan pekerjaan dalam mengembangkan karir dan kewirausahaan untuk lulusan alumninya yang dikembangkan oleh Unit Pelaksana Tugas (UPT) Pengembangan Karir dan Kewirausahaan (PERKASA). Aplikasi PERKASA mampu menyediakan berbagai informasi yang bermanfaat bagi alumni, dengan memetakan pasar kerja calon alumni, merencanakan pengembangan kurikulum dan mengadakan pelatihan agar dapat memetakan pasar kerja secara dinamis. Namun, hingga saat ini belum ada evaluasi dan monitoring yang dilakukan pada aplikasi PERKASA untuk mengetahui masalah serta tingkat pelayanannya. Berdasarkan permasalahan ini, maka pada artikel ini akan dilakukan evaluasi aplikasi menggunakan COBIT5 untuk mengetahui apakah sistem yang digunakan sekarang sudah berjalan baik dan dapat mencapai target yang telah ditentukan. Evaluasi aplikasi PERKASA menggunakan domain Monitor Evaluate and Assess (MEA01) dan Deliver, Service and Support (DSS01) dengan proses pengumpulan data menggunakan kuesioner. MEA01 Monitor, evaluate and assess performance and conformance berfokus pada mengumpulkan, memvalidasi, serta mengevaluasi tujuan proses dan standar kegiatan, sedangkan DSS01 Manage Operation berfokus pada merumuskan langkah perbaikan yang dapat dilakukan untuk meningkatkan kapabilitas proses. Hasil dari penelitian ini adalah nilai capability level, nilai gap dan rekomendasi strategi perbaikan. Berdasarkan hasil pengumpulan data yang telah dilakukan, didapatkan nilai capability level saat ini berada pada level 4 (Predictable Process). Hasil analisis gap pada MEA01 menunjukkan kondisi saat ini sebesar 3,65 dengan target 3,89 dan kondisi sekarang DSS01 sebesar 3,78 dengan target 3,99. Berdasarkan hasil analisis gap pada masing-masing sub domain, maka perlu adanya perbaikan dan usulan rekomendasi dalam mencapai target dalam mendukung tujuan organisasi.

Perbandingan Metode Simple Additive Weighting dan Analytic Hierarchy Process Untuk Pemilihan Supplier pada Restoran Yulaikha Maratullatifah; Catur Edi Widodo; Kusworo Adi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 9 No 1: Februari 2022
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2022914428

Kedai susu Its Milk adalah restoran yang bergerak di bidang kuliner dengan ciri khas menu pengolahan susu, bahan utamanya menggunakan susu sapi murni lokasi berada di jalan Taman Siswa Unnes Gunungpati Semarang. Bahan baku susu sapi diperoleh dari supplier. Pemilihan supplier yang tepat adalah kunci kestabilan usaha diantaranya dapat mengurangi biaya, mengurangi resiko rantai pasokan, meningkatkan nilai barang dan membentuk strategi perusahaan. Permasalahan restoran yang terkait supplier adalah kualitas, kuantitas, harga, pelayanan dan garansi. Oleh karena itu, perlu dilakukannya pemilihan supplier yang tepat. Metode SAW dan AHP merupakan metode paling mendominasi diantara metode lainnya untuk sistem pemilihan supplier. Perhitungan sedehana dan mudah adalah keunggulan SAW, data yang terperinci adalah keunggulan AHP, dibandingkan juga dengan Euclidan Distance untuk penentuan metode yang paling baik yaitu memiliki nilai mendekati nol. Tujuan penelitian ini membandingkan metode SAW dan AHP dalam pemilihan supplier pada restoran. Data penelitian diperoleh dari pemilik dan managemen Its Milk berupa kuesioner dan wawancara. Hasil perbandingan metode diperoleh hasil alternatif yang sama di dalam satu pengujian yaitu terpilihnya supplier A2 dengan nilai akurasi di SAW 0,86 dan akurasi di AHP 0,229. Berdasar euclidean distance metode AHP yang paling baik digunakan dalam penelitian ini dengan nilai rata-rata 0,19 sedangkan SAW nilai rata-rata 0,90. AbstractKedai Susu Its Milk is a restaurant in the culinary field with a characteristic menu of milk processing, the main ingredient of pure cow's milk is located on Jalan Taman Siswa Unnes Gunungpati Semarang. Raw material for cow's milk from suppliers. Selection of the right supplier is the key to business stability including reducing costs, reducing supply chain risk, increasing the value of goods and shaping company strategy. Restaurant problems related to suppliers are quality, quantity, price, service and warranty. Therefore, it is necessary to choose the right supplier. The SAW and AHP methods are the most dominating methods among other methods for supplier selection systems. Simple and easy calculations are the advantages of SAW, detailed data is the advantage of AHP, compared to Euclid and Distance for determining the best method, which has a value close to zero. The purpose of this study is to compare the SAW and AHP methods in the selection of suppliers in restaurants. Research data obtained from the owner and management of Its Milk in the form of questionnaires and interviews. The results of the comparison of methods obtained the same alternative results in one test, namely the selection of supplier A2 with an accuracy value of 0.86 in SAW and 0.229 accuracy in AHP. Based on the euclidean distance, the best AHP method used in this study is with an average value of 0.19, while SAW has an average value of 0.90.

Kombinasi Feature Selection Fisher Score dan Principal Component Analysis (PCA) untuk Klasifikasi Cervix Dysplasia Krisan Aprian Widagdo; Kusworo Adi; Rahmat Gernowo
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 3: Juni 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020702987

Pengamatan citra Pap Smear merupakan langkah yang sangat penting dalam mendiagnosis awal terhadap gangguan servik. Pengamatan tersebut membutuhkan sumber daya yang besar. Dalam hal ini machine learning dapat mengatasi masalah tersebut. Akan tetapi, keakuratan machine learning bergantung pada fitur yang digunakan. Hanya fitur relevan dan diskriminatif yang mampu memberikan hasil klasifikasi akurat. Pada penelitian ini menggabungkan Fisher Score dan Principal Component Analysis (PCA). Pertama Fisher Score memilih fitur relevan berdasarkan perangkingan. Langkah selanjutnya PCA mentransformasikan kandidat fitur menjadi dataset baru yang tidak saling berkorelasi. Metode jaringan syaraf tiruan Backpropagation digunakan untuk mengevaluasi performa kombinasi Fisher Score dan PCA. Model dievaluasi dengan metode 5 fold cross validation. Selain itu kombinasi ini dibandingkan dengan model fitur asli dan model fitur hasil Fscore. Hasil percobaan menunjukkan kombinasi fisher score dan PCA menghasilkan performa terbaik (akurasi 0.964±0.006, Sensitivity 0.990±0.005 dan Specificity 0.889±0.009). Dari segi waktu komputasi, kombinasi Fisher Score dan PCA membutuhkan waktu relative cepat. Penelitian ini membuktikan bahwa penggunaan feature selection dan feature extraction mampu meningkatkan kinerja klasifikasi dengan waktu yang relative singkat. Abstract Examination Pap Smear images is an important step to early diagnose cervix dysplasia. It needs a lot of resources. In this case, Machine Learning can solve this problem. However, Machine learning depends on the features used. Only relevant and discriminant features can provide an accurate classification result. In this work, combining feature selection Fisher Score (FScore) and Principal Component Analysis (PCA) is applied. First, FScore selects relevant features based on rangking score. And then PCA transforms candidate features into a new uncorrelated dataset. Artificial Neural Network Backpropagation used to evaluate performance combination FScore PCA. The model evaluated with 5 fold cross validation. The other hand, this combination compared with original features model and FScore model. Experimental result shows the combination of Fscore PCA produced the best performance (Accuracy 0.964±0.006, Sensitivity 0.990±0.005 and Specificity 0.889±0.009). In term of computational time, this combination needed a reasonable time. In this work, it was proved that applying feature selection and feature extraction could improve performance classification with a promising time.

Penerapan Tata Kelola Teknologi Informasi pada Instansi: Systematic Literature Review Willy Bima Alfajri; Aris Puji Widodo; Kusworo Adi
Jurnal Nasional Teknologi dan Sistem Informasi Vol 7, No 3 (2021): Desember 2021
Publisher : Jurusan Sistem Informasi, Fakultas Teknologi Informasi, Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/TEKNOSI.v7i3.2021.191-198

Tata kelola TI sudah banyak diterapkan dalam beberapa instansi pemerintah maupun swasta, penerapan ini bertujuan untuk meningkatkan kualitas instansi dalam pesatnya perkembangan teknologi saat ini. Banyaknya instansi yang menerapkan tata kelola TI tanpa adanya aturan apapun yang membuat belum adanya standarisasi yang harus diikuti setiap instansi dalam penerapan tata kelola TI. Artikel ini membahas tentang framework dan domain apa yang sering digunakan dalam evaluasi tata kelola TI serta instansi apa yang sering melakukan evaluasi terhadap tata kelola TI-nya. Systematic literature review digunakan sebagai metode penelitian dengan mencari artikel terkait dengan tema yang dipilih. 142 artikel ditemukan, dengan kriteria inklusi dan eksklusi digunakan untuk memperoleh hasil penelusuran artikel yang lebih baik. Setelah menerapkan kriteria inklusi dan eksklusi tersisa 77 artikel yang dapat ditinjau lebih jauh. Dari 77 artikel yang masuk dalam kategori studi kandidat, setelah ditinjau judul, abstrak dan kesimpulan artikel hanya 30 artikel yang sesuai dengan tujuan penelitian. Hasil yang didapatkan menyebutkan bahwa Control Objectives for Information and Related Technology (COBIT) 5 adalah framework yang paling banyak diaplikasikan dalam Studi Evaluasi maupun Audit Tata Kelola TI pada instansi di Indonesia. Dan domain deliver, service, support (DSS) adalah domain yang paling banyak digunakan dalam artikel, serta instansi swasta merupakan instansi yang paling banyak melakukan evaluasi terhadap tata kelola TI-nya.

Penilaian Usability Sistem Gasurkes “Go Bumil” untuk Pencarian Ibu Hamil di Wilayah Kota Semarang Undari Nurkalis; Kusworo Adi; Farid Agushybana
Jurnal Manajemen Kesehatan Indonesia Vol 7, No 1 (2019): April 2019
Publisher : Magister Kesehatan Masyarakat, Fakultas Kesehatan Masyarakat, Universitas Diponegoro

The Gasurkes System "Go Bumil" is an application system developed to improve the search performance of pregnant women by village level maternal and child health surveillance officers in the Semarang City area. Usability evaluation on the "Go Bumil" application system needs to be done to find out the usefulness of the application system for users.This type of research uses a pre-experimental design in a single group. Data collection used the PSSUQ questionnaire (Post Study System Usability Questionnaire). The research subjects were 12 respondents from urban KIA gasurkes, 104 respondents to pregnant women and postpartum mothers. The object of research is the "Go Pregnancy" application. Data processing methods use descriptive analysis using a weighted average.The results of the usability evaluation of the "Go Bumil" application with respondents to KIA gaskes, pregnant and postpartum mothers as a whole were satisfied with the application system developed. The overall results of the overall assessment on kelurahan gas, pregnant women and postpartum mothers in the category of system usefulness = 6.02 (range values 6.00 - 6.99 state respondents agree), information quality = 5.99 (range of values 5, 00 - 5.99 states the respondent somewhat agrees), interface quality = 5.99 (range values 5,00 - 5,99 state respondents somewhat agree) and overall satisfaction = 6.01 (range values 6,00 - 6,99 state respondent agreed). Based on the evaluation of the system usefulness, information quality, interface quality and overall satisfaction categories, it can be concluded that the respondents were satisfied with the "Go Bumil" application.

Evaluasi Kelayakan Implementasi Sistem Informasi Surveilans Kesehatan Ibu Anak dan Gizi dengan Model Task Technology Fit di Kabupaten Banyumas Sri Bintang Pamungkas; Farid Agushybana; Kusworo Adi
Jurnal Manajemen Kesehatan Indonesia Vol 7, No 2 (2019): Agustus 2019
Publisher : Magister Kesehatan Masyarakat, Fakultas Kesehatan Masyarakat, Universitas Diponegoro

Banyumas Regency already has a supportive system in terms of maternal health and child health surveillance but has not been utilized optimally because it has not gone through a competent feasibility study, so the system cannot be applied according due needs. The purpose of this study is noticing at the feasibility study of the child maternal health surveillance system and nutrition in its application at Banyumas regency by using Task Technology Fit (TTF). Research is a quantitative study with a cross sectional approach. Respondents of this study were all coordinate midwives in the puskesmas in Banyumas regency which amounts totaling 39 people, according to the predetermined total sampling criteria. Data collection using a questionnaire method. Data analysis was performed using logistic regression. The results of the feasibility study of the maternal and child health health surveillance system in Banyumas District showed variables related to utilization including data suitability, system reliability, ease of use. The recommendation for the improvement of the feasibility study of maternal and child health health surveillance systems in Banyumas district is the improvement of infrastructure, as well as training and socialization.

Rancang Bangun Sistem Informasi Administrasi Vaksinasi Meningitis Berbasis Web di Kantor Kesehatan Pelabuhan Kelas III Banda Aceh Dedi Apriyandi; Kusworo Adi; Aris Puji Widodo
Jurnal Manajemen Kesehatan Indonesia Vol 5, No 2 (2017): Agustus 2017
Publisher : Magister Kesehatan Masyarakat, Fakultas Kesehatan Masyarakat, Universitas Diponegoro

Meningitis vaccination service in Polyclinic of Class III Port Health Office (KKP) of Banda Aceh almost annually has increased the number of patients. There are several problems in the administration information system of meningitis vaccination that is currently running which officer is taking a long time to monitor the stock of vaccine and searching patient’s data that has been vaccinated. In the other hand, the data and information produced has yet incomplete, inaccurate and inconforn according within user system problems, Inaccurate timing for reporting and resulted to the inforrmation’s inconsistency. The purpose of this research is to produce an web-based information system of vaccine administration of meningitis at Polyclinic Class III Port Health Office of Banda Aceh. The type of researchs used are qualitative and quantitative. This research design using one group pre and post test, system development using FAST method (Framework for the Application of System Techniques). Research subjects consisted of 8 respondents who work in Polyclinic Port Health Office Banda Aceh. The result of observation and interview is conducted by the method of content analysis and descriptive analysis by using the weighted average. Descriptively, the results of data analysis shows which overall weighted average value of quality information before the development of 1.91 system and after the development of 3.64 system with a difference of 1.73. The average calculation of time required to perform services to patients to be faster 4.9 minutes. There is need support and commitment from the Class III Port Health Office Banda Aceh for implementing the administration information system of meningitis vaccination that has been developed optimally. Monitoring and evaluating users of the system should be performed periodically by Port Helath Office of Banda Aceh.

ANALISIS TEKSTUR CITRA MIKROSKOPIS KANKER PARU MENGGUNAKAN METODE GRAY LEVEL CO-OCCURANCE MATRIX (GLCM) DAN TRANFORMASI WAVELET DENGAN KLASIFIKASI NAIVE BAYES Rizky Ayomi Syifa; Kusworo Adi; Catur Edi Widodo
Youngster Physics Journal Vol 5, No 4 (2016): Youngster Physics Journal Oktober 2016
Publisher : Jurusan Fisika, Fakultas Sains dan Matematika, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (400.166 KB)

This research, conduct the lung cancer detection system on a microscopic image. The microscopic image used is the result from lung biopsy. If there is a cancerous tissue in the image of lung biopsy, the texture will be irregular, while the image of the normal lung biopsy will have a regular texture. The purpose of this reserach is to develope the lung cancer detection system and also to count the performance of the lung cancer detection system. The clasification process uses two methods, Gray Level Co-Occurance Matrix (GLCM) and Daubechies Wavelet Transform (db1). The Daubechies wavelet transformation is used in decomposition in level 4, while the offset of GLCM is 6. The feature extraction process is done in the transformation wavelet using the 4 subbands, approximation, horizontal Detils coefficients, vertical Detil coefficients and diagonal Detil coefficients, and the the feature extraction of GLCM uses the contrast, correlation, homogenity and energi as the parameter. The naïve bayes classification requires 2 parameter input, do a classification is 4 combination from each method of feature extraction. The result of this research is to extent the level of accuracy for the extraction of the feature extraction in 71,42% wavelet transformation method for the combination coefficients approximation-diagonal Detil coefficients and 80% accuration of GLCM method for the combination of homogeneity-correlation.

Co-Authors - Magister Sistem Informasi Universitas Diponegoro, Vincencius Gunawan S.K Abdillah Noor Fajrin Achmad Widodo Adi Pamungkas Adian Fatchur Rohim Adila Safitri Adinda Cipta Dewi Agus Atabik Anwar Agustini, Eka Puji Agvion Virsaw Alfajri, Willy Bima Andrian Bayu Suksmono Andriyan B. Suksmono Andriyan Suksmono Andriyan Suksmono, Andriyan Antono Suryo Putro Apoina Kartini Aprilia Ayu Andarinny Ari Bawono Putranto Arief Rachman Arief Rachman Aris P Widodo Aris Puji Widodo Aris Puji Widodo Aris Sugiharto Ary Setyadi Atik Zilziana Muflihati Noor Baital, Muhammad Sawal Basuki Wibowo Beta Noranita Cahya Tri Purnami Carissa Devina Usman Catur Adi Widodo Catur Edi Widodo Chakim Annubaha Choirul Anam Choirul Anam AM Diponegoro Dartini Dartini Dartini Dartini, Dartini Dedi Apriyandi Dedi Sepriana Delfia, Fila Dewi, Adinda Cipta Dian Anggraini Didi Supriyadi Dwi Ely Kurniawan Dwi Rochmayanti Dyah Apriliani Eka Vickraien Dangkua, Eka Vickraien Eko Adi Sarwoko Eko Sediono Elvira Situmorang Esa Prakasa Esa Prakasa, Esa Evi Setiawati Evita Ayu Suryaningtyas Faikhin . Faisal Rahman Fanny, Nabilatul Fardana, Nouvel Izza Farid Agushybana Farid Farid Agushybana Fatkhurrazi Basyid Figur Humani Fila Delfia Frida Fallo Gatot Murti Wibowo Gatot Murti Wibowo, Gatot Murti Hadyan Arifianto Harnanto, Rudy Haryati Haryati Hastuti, Dyah Dewi Havez Vazirani Al Kautsar Hendra Gunawan HENDRA GUNAWAN B11211055 Hernowo Danusaputro Ibrahim, Muhammad Rivani Imam Syafii Ircham Ali Isnain Gunadi Isnain Gunadi Jatmiko Endor Suseno Jatmiko Endro Suseno Jatmiko Endro Suseno Jayawarsa, A.A. Ketut Julianto, Dewa Rizki Rahmat Krisan Aprian Widagdo Laila Rahmawati Linda Nuryanti M.Irwan Katili Mailia Putri Utami Mailia Putri Utami MAIZZA NADIA PUTR Martini Martini Martini Mengko, Tati L.R. Muhammad Ikhsan Nahdi Saubari Nanang Sulaksono, Nanang Natalia Kristiani Nava Muzdalifah Nelly Mirnasari Neneng Neneng Nina Dwi Astuti Noor Azizah Nugroho Adhi Santoso Nur Hamid Nurul Firdausi Nuzula, Nurul Firdausi Nurul Huda Prasetyo Oky Dwi Nurhayati Ovide Decroly Wisnu Ardhi Pamungkas, Ardian Prakasa, Fawwaz Bimo Puji Widodo, Aris Purwanto Purwanto Putri Nuriskianti Qoriani Widayati R Rizal Isnanto Rachmat Gernowo Rachmatullah, Robby Rahmat Gernowo Rahmat Gernowo Rasyid Rasyid, Rasyid Retnaningsih Soeprobowati, Tri Ria Amitasari Rima Ayuning Ratri Riris Trima Derita Sari Rizky Ayomi Syifa Rr. Tony Yulianto Saiful Widianto Salsabila Naqiyah Sari, Kiki Puspita Septya Maharani, Septya Setyowati Setyowati Shahmirul Hafizullah Imanuddin Sidin Hariyanto Sifaunajah, Agus Siti A'isyah Siti Nur Endahyani Sri Bintang Pamungkas Suandari P.V.L Suryono Suryono Suseno, Jatmiko Endor Sutopo Patria Jati Tati Mengko Tati Mengko, Tati Tito Rano Pradibto Toni Wijanarko Adi Putra Tri Mulyono Tri Retnaningsih Soeprobowati Tri Sandhika Jaya Tutur Urip Undari Nurkalis Vincencius Gunawan, Vincencius Vincensius Gunawan S.K. Wahyu Setia Budi Wahyudi Setiawan Waliyansyah, Rahmat Robi Weirna Yusanti Willy Bima Alfajri Wisnu Ardhi, Ovide Decroly Wiwit Agus Triyanto Yulaikha Maratullatifah Yuliani Setyaningsih Zaenal Arifin Zaenul Muhlisin Zainal Bachrudin

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