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Kusrini

Universitas Amikom Yogyakarta

Author-ID : 302666

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IMPLEMENTASI ALGORITMA APRIORI DAN FORWARD CHAINING UNTUK MENENTUKAN MAKANAN YANG TEPAT PADA PENDERITA DIABETES Agatha Deolika; Victor Saputra Ginting; Tutik Maryana; Ripto Sudiyarno; Kusrini Kusrini
(JurTI) Jurnal Teknologi Informasi Vol 3, No 2 (2019): DESEMBER 2019
Publisher : Universitas Asahan

Abstract - The high number of diabetes patients in Indonesia is increasing. Some of the factors that cause diabetes in Indonesia include family history, obesity, aging, lack of activity and diet. Too much food containing sugar is also one of the emergences of diabetes. Most diabetics often have complications of diabetes disease and that is based on the criteria of a patient. Therefore, it is necessary to conduct research on the rule or dependence of the disease based on patient criteria and determination of diet for diabetics. In this study using a combination of a priori methods to determine the rule of disease and forward chaining to determine patient food. Based on the research tests conducted, it can be concluded that the combination of 2 methods produces a pretty good which in the a priori method uses a minimum value of support 2 and a minimum of confidence 10 and produces 10 rules with 3 combinations of items, as well as forward chaining tests that use 30 data produces an accuracy of 83 %.Keywords - Apriori Algorithm, Forward Chaining, Diabetes Abstrak - Tingginya jumlah pasien diabetes yang terjadi di Indonesia semakin meningkat. Beberapa faktor penyebab penyakit diabetes di Indonesia anatara lain riwayat keluarga, obesitas, pertambahan usia, kurangnya aktivitas dan pola makan. Terlalu banyak makan yang mengandung gula juga merupakan salah satu munculnya penyakit diabetes. Kebanyakan penderita diabetes sering sekali terjadinya kompliksi penyait diabetes dan itu berdasarkan kreteria seorang pasien. Maka dari itu perlu dilakukan penelitian mengenai rule atau keterhungungan penyakit berdasarkan kriteria pasien dan penentuan pola makan bagi penderita penyakit diabetes. Pada penelitian ini menggunakan kombinasi metode apriori untuk menetukan rule penyakit dan forward chainning untuk mentukan makanan pasien. Berdasarkan pada pengujian penelitian yang dilakukan dapat diambil kesimpulan Kombinasi 2 metode ini menghasilkan cukup bagus yang mana pada metode apriori menggunakan nilai minimal support 2 dan minimal confidence 10 dan menghasilkan 10 rule dengan 3 kombinasi item, serta pengujian forward chaining yang menggunakan 30 data menghasilkan akurasi 83% .Kata Kunci - Algoritma Apriori, Forward Chaining, Diabetes

ANALISIS PEMBOBOTAN KATA PADA KLASIFIKASI TEXT MINING Agatha Deolika; Kusrini Kusrini; Emha Taufiq Luthfi
(JurTI) Jurnal Teknologi Informasi Vol 3, No 2 (2019): DESEMBER 2019
Publisher : Universitas Asahan

Abstract - In this era, we need to extract the text needed to visualize or need knowledge from a large collection of document texts. Text mining is the process of obtaining high-quality information from text. High-quality information obtained because of attention to patterns and trends by reading statistical patterns. In the process of extracting the text, we need to pay for the words offered to give value/weight to the terms provided in a document. The weight given to the term depends on the method used. In weighting many words such as algorithms for example such as TF, IDF, RF, TF-IDF, TF.RF, TF.CHI, WIDF. This research will be analyzed and compared with the TF-IDF, TF.RF, and WIDF algorithms. For the test method, the naïve Bayes classification method will be used and the valuation analysis using the confusion matrix. With a dataset used as many as 130 documents in which 100 data transfer and 30 test data. Based on the analysis of the results of the classification that has been done, it can determine the weighting of TF.RF with naif classification is better than weighting TF.IDF and WIDF with Accuracy values of 98.67%, Precision 93.81%, and Recall 96.67%.Keywords - Text Mining, TF-IDF, TF-RF, WIDF, Classification, Naïve Bayes. Abstract - Pada era sekarang ini pemanfaatan text mining sangatlah diperlukan untuk mevisualkan atau mengevaluasi pengetahuan dari kumpulan besar dari teks dokumen. Text mining adalah proses untuk memperoleh informasi berkualitas tinggi dari teks. Informasi berkualitas tinggi biasanya didapatkan karena memperhatikan pola dan tren dengan cara mempelajari pola statistik. Pada proses teks mining terdapat pembobobtan kata yang bertujuan untuk memberikan nilai/bobot pada term yang terdapat pada suatu dokumen. Bobot yang diberikan pada term tergantung kepada metode yang digunakan. Dalam pembobotan kata banyak sekali terdapat algoritma-algoritma contohnya seperti TF, Idf, RF, TF-IDF, TF.RF, TF.CHI, WIDF. Pada penelitian ini akan dianalisis dan dibandingkan algoritma TF-IDF, TF.RF, dan WIDF. Untuk metode pengujiannya akan digunakan metode klasifikasi naïve bayes dan analisis perbandingannya menggunakan confussion matrix. Dengan dataset yang digunakan sebanyak 130 dokumen yang mana 100 data traning dan 30 data uji. Berdasarkan analisa pada hasil klasifikasi yang telah dilakukan, dapat disimpulkan bahwa pembobotan TF.RF dengan klasifikasi Naïve bayes lebih baik dari pembobotan TF.IDF dan WIDF dengan nilai Accuracy 98,67%, Precision 93,81%, dan Recall 96,67%. Kata Kunci - Text Mining, TF-IDF, TF-RF, WIDF, Klasifikasi, Naïve Bayes.

Pengaruh Dimensi Gambar pada Klasifikasi Motif Batik Menggunakan Convolutional Neural Network Rizki Mawan; Kusrini Kusrini; Hanif Al Fatta
(JurTI) Jurnal Teknologi Informasi Vol 4, No 2 (2020): DESEMBER 2020
Publisher : Universitas Asahan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36294/jurti.v4i2.1342

Abstract – Indonesia is a country with many fascinating cultural assets. Batik is one of the most beautiful cultural assets that should be preserved. Batik existed with many motifs and styles and has been a significant cultural cloth for many regions spread along the Java island. This research proposed the computation for identifying three popular motifs and styles: megamendung, kawung, and parang. This research employed a Convolutional Neural Network classifier to identity those three popular batik motifs. This research used an image size of 64x64, 128x128, and 256x256 for the input images, and the influence of the size or dimension for these inputs have been analyzed. The final result showed that the highest accuracy is reached at 92.85 % on epoch = 240 and batch size = 5.Keywords - Batik, Convolutional Neural Network, Accuracy, Dimension Abstrak - Banyak budaya di Indonesia yang masih menjadi kebanggan dan dijaga kelestarian nya. Salah satunya adalah batik. Jika berbicara tentang batik sekilas kita mengingat tentang berbagai macam motif yang dimiliki yang tersbar di Indonesia terutama di pulau Jawa. Pada penelitian kali ini motif batik yang diteliti adalah batik megamendung,batik kawung dan batik parang. Alasan pemilihan ketiga motif tersebut karena ketiga motif tersebut sangat diminati oleh khalayak ramai(Populer) , dan ketiga motif tersebut memliki makna tersendiri yang sangat mewakili masyarakat Indonesia. Tujuan dari klasifikasi batik adalah untuk mengetahui keakuratan akurasi motif batik khusus nya motif batik kawung,megamendung, dan parang. Fokus pada penelitian ini adalah penggunaan dimensi gambar yang dapat mempengaruhi akurasi yang dihasilkan. Dimensi yang digunakan adalah 64x64,128x128, dan 256x256. Akurasi yang dihasilkan dengan menggunakan metode Convolutional Neural Network yang paling tinggi yaitu 92,85% dengan menggunakan epoch= 240 dan batch_size=5.Kata Kunci - Batik, Convolutional Neural Network, Akurasi, Dimensi

ANALISIS KUALITAS LAYANAN E-COMMERCE MENGGUNAKAN METODE ZONE OF TOLERANCE Siti Fatonah; Kusrini Kusrini; Asro Nasiri
Informasi Interaktif Vol 3, No 3 (2018): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (342.57 KB)

The quality of e-commerce website services must be considered because it affects the number of users who access the website and decide to buy on an e-commerce website. Shopee is one of the fast-growing e-commerce websites in Indonesia, YLKI received 101 complaints in online shopping including among them complaints from Shopee consumers. The purpose of this study is to analyze the quality of e-commerce website services based on the user's point of view and know the attributes that affect customer satisfaction on service quality based on E-Servqual dimensions, namely efficiency, availability, fulfillment, privacy, responsiveness, compensation and contacts using Zone of Tolerance methods. Data obtained from questionnaires using purposive sampling technique with the number of respondents as many as 100 respondents, then the results of the questionnaire were analyzed using the ZOT method to find out the quality of acceptable minimal services. The results of this study indicate that customers are not satisfied with the quality of service provided with priority improvements to the attributes of Shopee parties willing to bear all shipping costs in the event of a mechanism to replace goods due to Shopee's fault. Keywords: service quality, e-servqual, ZOT.

PERANCANGAN SISTEM PAKAR FINAL CHECK MOTOR MATIC MENGGUNAKAN METODE FORWARD CHAINING STUDI KASUS AHASS 9677 Wahit Desta Prastowo; Kusrini Kusrini; Ferry Wahyu Wibowo
Informasi Interaktif Vol 4, No 2 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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The increasing interest of consumers towards motorcycle products, especially products from Honda, is now very high. The interest in purchasing Honda matic motorcycles that continues to increase is inversely proportional to the number of technicians and service centers, resulting in an imbalance between the AHASS 9677 service service and motorcycle users. This is indicated by the accumulation of queues reaching 30 units in a day so that consumers queue for hours even though only to ask questions to find out the damage and solutions and the estimated cost of damage to the vehicle owned. Technological advances can be used as an effort to retain customers and overcome queue problems that accumulate with one way of applying artificial intelligence by making an Expert System using the Forward Chaining method that can accept damage symptom input and provide damage analysis and solutions then provide estimated service costs. Keywords: Expert System, Honda Matic Motor, Forward Chaining.

EVALUASI TINGKAT PENERIMAAN SISTEM INFORMASI YUDISIUM MENGGUNAKAN METODE TAM Sri Handayani; Kusrini Kusrini; M. Rudyanto Arief
Informasi Interaktif Vol 2, No 2 (2017): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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This study aims to determine the level of acceptance of judicial Information system at the Bureau of Academic Administration and Student Affairs Muhammadiyah University of Bengkulu. Population in this research are employees of BAAK, Staff of Department, Head Of Departement and students who interact directly with the judicial information system Samples taken as many as 68 respondents using slovin techniques with employee details of 28 people and 40 students. This research was conducted by using Technology Acceptance Model method by distributing questionnaire, with the number of samples were 68 respondents. Data analysis technique is done by using SEM technique and Partial Least Square (PLS) approach. The results showed that the variable Perceived Complexity Using the System positively influenced Attitude Toward Using the System and Behavioral Intention to Use the System. This variable can affect the user acceptance rate of 49.9%. Based on the results of the research, the Administrative Bureau of Academic and Student Affairs (BAAK) and Integrated Service Unit of Computer Information Technology (UPT TIK) of Muhammadiyah University of Bengkulu should improve aspects of Perceived Complexity Using the System, to increase the acceptance level of the judicium information system. Keywords: TAM Method, Evaluation of acceptance level of Yudicium Information System, SIAKAD UMB

PENERAPAN METODE AHP DALAM PENENTUAN KRITERIA SISTEM PENDUKUNG KEPUTUSAN SELEKSI PENJUAL PADA KANTIN Fandli Supandi; Kusrini Kusrini; Hanif Al Fatta
Informasi Interaktif Vol 4, No 3 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Canteen is one of the most important places to be owned by a particular institution including educational institutions such as universities, in the canteen itself there are sellers - sellers who are the main factors that determine the consumer's decision to the canteen. in this study we will discuss how to determine the priority weights of criteria to be used as an evaluation parameter for the selection of prospective sellers who will be accepted in a canteen. The method used is the Analytical Hierarchy Process (AHP), the stages in the AHP method begin with the process of defining the problem, making a hierarchical structure that begins with general objectives, followed by criteria and alternative choices, Creating pairwise comparison matrices, normalizing data, calculating values eigen vector and test its consistency, calculate eigen vector from each paired comparison matrix, test the consistency of hierarchy. If it does not meet with CR <0.01, the pairwise comparison process must be carried out again. The results of this study are a priority weight of each criterion that will be used for the selection process of prospective sellers in the canteen.Keywords: Canteen, AHP, criter

PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN PENYELEKSIAN NASKAH LAYAK MENGGUNAKAN METODE FAHP Ekastini Ekastini; Kusrini Kusrini; Emha T aufiq Luthfie
Informasi Interaktif Vol 2, No 1 (2017): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Script selection process is a process for the assessment of the manuscript for eligible published. The assessment conducted by the script editor. The Editor task of providing evaluation on every script based on criteria and assessment subkriteria. By using the decision support system will facilitate policy makers in determining the eligibility of the script. On this research will be done against the design of decision support system to select the paper worthy of publication that can provide recommendations for policy makers in determining the feasibility of a manuscript for publication or not. Design of decision support system use encryption methods Multi Criteria Decision Making (MCDM). Multi Criteria Decision Making is a method of decision making to determine the best alternative based on a few certain criteria. Keyword: Decision Support System, Script selection, Multi Criteria Decision Making

PREDIKSI KETERLAMBATAN PEMBAYARAN SPP SEKOLAH DENGAN METODE K-NEAREST NEIGHBOR (STUDI KASUS SMK AL-ISLAM SURAKARTA) Robi Wariyanto Abdullah; Kusrini Kusrini; Emha Taufiq Luthfii
Informasi Interaktif Vol 4, No 3 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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PREDIKSI KETERLAMBATAN PEMBAYARAN SPP SEKOLAH DENGAN METODE K-NEAREST NEIGHBOR (STUDI KASUS SMK AL-ISLAM SURAKARTA)

PENERAPAN DATA MINING DALAM MENENTUKAN PEMBINAAN KOPERASI (STUDI KASUS : DINAS KOPERASI DAN UKM KABUPATEN KOTAWARINGIN TIMUR) Yuni Ambar S; Kusrini Kusrini; Henderi Henderi
Informasi Interaktif Vol 4, No 1 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

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Currently coaching for cooperatives in the East Kotawaringin Regency Government is very necessary because of the existence of newly established cooperatives and those that have long been standing down and slow in the implementation of Annual Member Meetings (RAT). With the number of cooperatives currently the Cooperative Office lacks supervisory human resources, therefore cooperatives need to be taken into account that are prioritized on coaching. One way to dig data is Data Mining using statistical methods using the K-NN algorithm. In this study, the K-NN Algorithm is used in determining the Cooperative that is feasible for the coach. The results obtained from this study were to obtain the results of the classification of cooperatives that deserved coaching with an accuracy of 96.33 percent. Keywords : Coaching, Clasification, K-Nearest Neighbour

Co-Authors - Saifulloh A.A. Ketut Agung Cahyawan W AA Sudharmawan, AA ABADI Abda Abda Abdi Firdaus Abdillah, Yahya Auliya Abdul Haris Abdul Malik Zuhdi Abdul Ra'uf Alfansani Abdul Rokhim Abdullah Sukri, M Iqbal Abdullah, Mochamad Fadillah Achmad Agus Athok Miftachuddin Achmad Wazirul Hidayat Achmad Yusron Arif Adadilaga Arya Priwanegara Ade Pujianto, Ade Adhani, Muhammad Azmi Adhien Kenya Estetikha Adiatma, Biva Candra Lutfi Aditya Hastami Ruger Aflahah Apriliyani Afryansih, Nila Agam Saka Jati Agastya , I Made Artha Agastya I Made Artha Agastya, I Made Artha Agatha Deolika Agatstya, I Made Artha Agianto Syam Halim agung budi Agung Budi Agung Budi Prasetio Agung Budi Prasetyo Agung Jasuma Agung Jasuma Agung Nugroho Agus Harjoko AGUS PURWANTO Agus Sriyanto AGUS SULISTIYONO Agus Susilo Nugroho Agustina Rahmawati Agustina, Nova Ahmad Almas'ud ZD Ahmad Harmain Ahmad Sanusi Mashuri Ahmad Yusuf Ahmad Zarkasih Ahsan, Muhammad Salimy Aidina Ristyawan, Aidina Aiman Ayadi Aisha Alfani Aji Santoso, Bayu Aji Susanto Anom Purnomo Ajie Kusuma Wardhana Akhmad Syarif Akhmad Syarif Akrilvalerat Deainert Wierfi Alfahmi Muhammad Arif Alfatta, Hanif Ali Asgar Zainal Abidin Alva Hendi Muhammad Amanullah, Raynaldi Fatih Amborowati, Armadyahah Amir Bagja Amir Fatah Amir Fatah Sofyan Amrina Rosyada anas, hasni Anastasia Meyliana Andayani Andayani Andhika Wisnu Widyatama Andi Bahtiar Semma Andi Muhammad Irfan Andi Sunyoto Andi Suyoto Andi Syahrul Ramdana Andika, Roy Andri Rachmatullah Andri, Agung Andria Andria Andris Faesal Andriyan Dwi Putra Andriyanto, Rifki Angga Kurniawan Angga Kurniawan Anggi Muhammad Rifa'i Anggit Dwi Hartanto Anggit Dwi Hartanto Anggit Dwi Hartanto, Anggit Dwi Anggit Hartanto Anggraeni, Meita Dwi Aninda Astuti Anjar Anjani Putra Anwar Sadad Aolia Ikhwanudin Aolia Ikhwanudin Apriliyani, Aflahah Aprison Wolla Gole Ardana, Wildan Muhammad Ardana, Wildan Muhammmad Ardiansyah, Fachri Arfiani Nur Khusna Arham Rahim Ari Ari Suhartanto Ari Suhartanto Ari Yuana, Kumara Arief Setyanto Arief Setyanto Arief Setyanto Arief, M Rudyanto Arief, M. Rudyanto Arief, Muh. Rudyanto Arief, Muhammad Rudyanto Arief, Rudyanto Ariel Yonatan Alin Arif Budiman Arif Fajar Solikin Arif Fajar Solikin Arif Fajar Solikin Arifuddin, Danang Arik Sofan Tohir Aris Subadi Arli Aditya Parikesit Armadyah Amborowati Armadyah Amborowati Armadyah Amborowati Arnap, Adam Arnila Sandi Arridho, Muhammad Noor Artha Agastya, I Made Arwendra Adi Putra Asnawi, Muhamad Fuat Asri, Saffinah Indah Asro Nasiri Asro Nasiri Asro Nasiri Asro Nasiri Asro Nasiri Asro Nasiri Asro Nasrini Assani, Moh. Yushi Atin Hasanah Awaludin Abid Azi, Amanda Azib Widad Zuhaily Imam Azis Wahyudi Aziz Muslim Aziz Muzani, Ma'ruf Aziz, Moh Abdul Azkar, Azkar B, Isdayani B. R., Endah Bagas Dwi Novianto Bahrun Ghozali Banu Santoso Bayu Setiaji Béjar, Rodrigo Martínez Bentar Candra P Bernadhed, Bernadhed Bimantyoso Hamdikatama Bisono, Hadi Hikmadyo Braeken, An Brenstein Mawene Buana, Yopy Tri Burhanudin Dwi Prakoso Candra Adipradana Candra Rusmana Candra, Kurnia Khoirul Choerun Asnawi Christian Budi Andrianto, Christian Budi Christin Nandari Dengen Christin Nandari Dengen Christin Nandari Dengen Christin Nandari Dengen D. Diffran Nur Cahyo da Silva, Bruno Danang Eko Prayogo Danang Wahyu Widodo Darmawan, Eko Rahmad Darno - David Agustriawan David Junggu Manggala Pasaribu dayat subekti Dede - Sandi Dede Husen Dedi Gunawan Dema Matias L Tobing Dengen, Christin Nandari Desty Yani Destyanto, Febrian Devina Ninosari Dhani Ariatmanto Dhani Ariatmanto DHANI ARIATMANTO Dias Ayu Budi Utami Dibyo Sudarsono Didik Irawan Dimaz Arno Prasetio Dina Maulina Dina Maulina Dina Maulina Dina Maulina Djatmiko, Widdi Doni Briyan Wahyudi Donny Yulianto Dwi Astuti Dwi Cahyani, Atika DWI ISKANDAR Dwi Utami Dwi Yuli Prasetyo Dwinda Etika Profesi Dwinda Etika Profesi Dzalfa Tsalsabila Rhamadiyanti Dzulhijjah, Dwi Ahmad Eddy Nurraharjo Eka Wahyu Pujiharto Eka Wahyu Sholeha Eka Yulia Sari Ekastini Ekastini Ekastini Ekastini Eko Boedijanto Eko Pramono Eko Pramono Eko Pramono Eko Pramono Eko Pramono Eko Pramono Eko Purwanto Eko Purwanto Eko Purwanto Eldas Puspitarini, Eldas Elfandry Bayunanda Elfrida Ratnawati Elik Hari Muktafin Elik Hari Muktafin Elik Hari Muktafin Eliza Staviana Elok Noor Farida, Elok Noor Elvis Pawan Elvis Pawan Ema Utami Ema Utami Ema Utami Ema Utami Emha T aufiq Luthfie Emha Taufik Luthf Emha Taufiq Luthfi EmhaTaufiq Lutfi, EmhaTaufiq Enni Lidrawati Erfan Tongalu Eri Sasmita Susanto Erwin Apriliyanto Erwin Apriliyanto Eva Oktaviani Fahma Inti Ilmawati Fahrullah, Fahrullah Fajar Dwi Insani Fajar Sodik Fajar Sudana Putra Fandli Supandi Fandli Supandi Fansuri, Muhammad Febrian Fareza Aditiyanto Nugroho Fathoni Mahardika Fatkhurohman, Ari Fatkhurrochman, Fatkhurrochman Fauji Maulana Ramlan, Fauji Maulana Fauzi, Moch Farid Fauzy, Marwan Noor Febrianti, Winda Febriyanti, Nada Rizki Fendy Nugroho Fendy Prasetyo Nugroho Fendy Prasetyo Nugroho Fernandito, Durand Ferry Wahyu Wibowo Ferry Wahyu Wibowo Ferry Wahyu Wibowo Ferry Wahyu Wibowo Ferry Wahyu Wibowo Ferry Wahyu Wibowo Ferry Wahyu Wibowo Firman Sriyono Firmanda Fasya Firza Septian Fitriani Fitriani Fitriyandhi, Ari fitriyanto, nur Fitrony, Fachri Ayudi Fiyas Mahananing Puri Friden E Neno Fryda Fatmayati Gifari, Okta Ihza Gigih Setyaji Guido Adolfus Suni Gutama, Deden Hardan Hadi Sucipto Hadryan Eddy Hafidz Sanjaya, Hafidz Halimi, Ahmad Hamada Zein Hamdikatama, Bimantyoso Hanafi Hanafi Hanafi Handoko Adji Pangestu Hanif Al Fatta Hari Agustiyo Hari Muktafin, Elik Haris, Ruby hartanto, david budi Hartono, Anggit Dwi Haryo, Wasis Hasan, Nur Fitrianingsih Hasan, Nurul Rahmawati Hasim, Hasim As'ari Hasirun Hasirun Hasirun, Hasirun Hasnan Afif Helmawati, Nita Henderi Henderi . Hendriansyah Santosa Hendrik Hendrik Henri Kurniawan Henri Kurniawan Herawati, Maimi Heri Abijono Heri Abijono, Heri Heri Sismoro Herlinawati, Noor Hery Nurmawan Hery Siswanto Hidayat, Fajar Maula Hidayatunnisa'i Hulvi, Alfajri I Made Adi Purwantara I Made Artha Agastya I Putu Agus Ari Mahendra I Wayan Pandu Ibnu Ickwantoro Ichsan Wasiso Ichsan Wasiso Idris Idris Ikhwan Baidlowi Sumafta Ikhwanudin, Aolia Ikmah Ikmah Ilham Aziz Rosadi Ilkham, Sundari Ilkham, Sundari Ilmawati, Fahma Inti Ilmi, M. Bahril Imam Listiono Indarto, Aan Iqbal Irfan Purwanto Irma Darmayanti Irwan Oyong Jangkung Tri Nugroho Jazi Eko Istiyanto Jeki Kuswanto Jeki Kuswanto Jemi Yohanis Babys Jhoanne Fredricka Jimmy H Moedjahedy Joang Ipmawati JOKO PRAYITNO José Ramón Martínez Salio Julia Kurniasih Jumaris Jumaris, Jumaris Jumiati Jumiati Junaidi Junaidi Junaidi Sabtu Juwari Juwari Juwariyah, Siti Kaharuddin Kanafi Kanafi Kasman, Haris Saktiawan Kelik Sussolaikah Kemal Pasha Khoironi, Khoironi Khoirul Islam Khoirun Nisa Khomsatun Khomsatun Khusnawi Khusnawi Kristian, Taufik Aldri Kristina Vaher Kumara Ari Yuana Kumara Ari Yuana Kurni, Samuel Everth Andrias Kurniadi, Harso Kurniasari, Iin Kusnawi , Kusnawi Kusnawi Kusnawi Kusrini, Mashudi Kusuma Chandra Kirana La Aba Laka, Beatus Mendelson Lasimin Lewu, Retzi Y. Liana Trihardianingsih Lili Kartikawati Linda, Kumara Dewi Lisda Lisda Listyanto, Ahmad Wildan López, Alba Puelles Lukman Bachtiar Lutfan Lazuardi M rudyanto Arief M Rudyanto Arief M Vaizul Rahman M. Afriansyah M. Dedi Iskandar M. Idris Purwanto M. Ilham Arief M. Irwan Ukkas Irwan Ukkas Ukkas M. Nurul Wathani M. Rudiyanto Arief M. Rudyanto Arief M. RUDYANTO ARIEF M. Rudyanto Arief M. Rudyanto Arief M. Suyanto M. Suyanto, M. M. Syukri Mustafa M. Zainal Arifin M.Andi Rohmat Madhika, Yudha Randa Mahendra, Awanda Putra MAHMUDI Mahmudi Mahmudi Majid Rahardi Mangun, Syamsul Syahab Mansur Mansur Maradona, Maradona Mardi Utomo Mardiana Mardiana marhalim, marhalim Marissa Utami Marselina Endah Hiswati Marta Ardiyanto Martínez-Béjar, Rodrigo Marwan Noor Fauzy MASRIYAH Masruri, Nizar Haris Masud, Ibnu Mat Sudir maulana, fahrizal Mawene, Brenstein Maykel Sonobe Maykel Sonobe Megantara, Muhamad Arldi MEI PARWANTO KURNIAWAN Metha, Halifa Sekar Miftachuddin, Achmad Agus Athok Mochamad Fadillah Abdullah Moenawar Kholil Moh Er Kamim Moh Royandi Azka Moh. Badri Tamam Mohamad Firdaus, Mohamad Mohammad Diqi Mohammad Rezza Pahlevi Moningka, Nirwan Muahidin, Zumratul Muchamat Zainal Arifin Muflich, Alwie Mufti Ari Bianto Muh Saerozi Muh. Rudyanto Arief Muh. Rudyanto Arief Muhamad Fatahillah Z Muhamad Iksan, Muhamad Muhamad Kurniawan Muhamad Nanda Utama Muhamad Ryandy Ghonim Asgar Muhamad Yusuf Muhammad Agus Muljanto Muhammad Alfariz Muhammad Anwar Fauzi Muhammad Egy Pratama Muhammad Fahmi Muhammad Fajar Apriyanto Muhammad Fajrian Noor Muhammad Firdaus Abdi Muhammad Firdaus Abdi Muhammad Koprawi Muhammad Mariko Muhammad Nafi’Uddin Muhammad Resa Arif Yudianto Muhammad Riandi Widiyantoro Muhammad Riza Eko S Muhammad Rudyanto Arief Muhammad Rudyanto Arief Muhammad Rudyanto Arief Arief Muhammad Salimy Ahsan Muhirin Muktafin, Elik Hari Mukti Ali Mulia Sulistiyono Mulyaningtyas, Widya Muqorobin Muqorobin Muqorobin Muqorobin Muqorobin Muqorobin Muqorobin, Muqorobin Musa Hendri Janto Rahanra Muslihah, Isnawati Musthofa Galih Pradana Mutiara Dwi Anggraini Mutiara Dwi Anggraini Muzakir, Muhammad MZ, Reza Rafiq Nabawi, Isnan Nabila Payapo Nadea Cipta Laksmita Nafis Sururi Nanang Prasetiyantara Nasiri, Asro Neno, Friden Elefri Ngaeni, Nurus Sarifatul Ni Nyoman Utami Januhari, Ni Nyoman Nibras Faiq Muhammad Nikko Listio Wicaksono NINIK TRI HARTANTI Noor Abdul Haris Norhikmah Norhikmah Noto Narwanto Nova Agustina Noviyanti P Noviyanti P. Nugroho, Agung Nugroho, Hanantyo Sri Nugroho, Rakhmat Prasetyo Agung Nuk Ghurroh Setyoningrum Nuk Ghurroh Setyoningrum Nulngafan, Nulngafan Nur Hamid Sutanto Nurcahyo, Azriel Christian Nurdianingsih, Neneng Nurita Evitarina Nurmalasari, Maulidya Dwi Nurwijayanti Oktafiqurahman, Andi Olajuwon, Sayyid Muh. Raziq Onde, Mitrakasih La ode Oscar Samaratungga Paiman Paiman Pamekas, Bondan Wahyu Pamoengkas, Muhamad Agoeng Pamungkas, Prima Giri Pamungkas, Sapto Paradise, Paradise Parsiyono Parsiyono Patmawati Hasan Pawit Srentiyono Perdana Putra, Muhammad Ricky Perdana, Muhammad Ricky Prabowo Budi Utomo Pradipta, Dody Prameswari, Sonia Anjani Pramono Pramono Pramudya Insan Prasetio, Agung Budi Prasetio, Dimaz Arno Prasetyo, Adi Prastowo, Wahit Desta Prastyo, Rahmat Pratama, Bayu Trisna Pratama, Muhammad Egy Profesi, Dwinda Etika Profesi, Dwinda Etika Pujianto, Ade Puri, Fiyas Mahananing Purnamasari, Resti Rachmawati Oktaria Mardiyanto Rachmawati Oktaria Mardiyanto Rahmat Saleh Sukur Rajnaparamitha Kusumastuti Rama Ashari Rama Saktriawindarta RAMADHAN, SYAIFUL Ramlan Ramlan Rantung , Tessa Rasyid, Magfirah Reflan Nuari Rendy Bagus Pratama Retantyo Wardoyo Retzi Yosia Lewu Ridlan Ahmad Riduan, Nor Ridwan Joko Purnomo Rifan Ferryawan Rifqi Hammad Rifqi Hammad Rini Wijayanti Rini, Rini Riovan Styx Roring Ripto Sudiyarno Ririn Putri Damaiyanti Riska Dwi Handayani Risna Sari Rita Wati Ritham Tuntun Riyan Abdul Aziz Rizal Khadarusman Rizal Sapta Dwi Harjo Rizaldi, Rizaldi Rizkayati, Anisa Rizki Firdaus Mulya Rizki Mawan Rizky Aries Saputra Rizqi Sukma Kharisma Robi Wariyanto Abdullah Rohman, Arif Nur Rona Guines Purnasiwi Rooy Thaniket Rudyanto Arief S, Muhamad Rois S, Muhammad Sabri Safagi, Ardian Yuligar Sahirul Muklis Saifudin, Saifudin Saiful Bahri Saikin Saleh, Robby Febrianur Samponu, Yohakim Benedictus Samponu, Yohakim Benedictus Santosa, Hendriansyah SANTRI SANTRI Saputra, Mahmuda Saputra, Rizky Aries Saputro, Moh. Rizal Bayu Saputro, Uyock Anggoro Sarawan, Tommy Sari, Yayak Kartika Sari, Yunita Sartika Sarji, Sarji Selvy Megira, Selvy Semma, Andi Bahtiar Sentoso, Thedjo Sepriadi - Bumbungan Sepriadi Bumbungan Setianto, Yuni Ambar Setiawan, Moh. Arif Ma'ruf Setyanto, Arif Sewindu Putro Sigit Pambudi Simone Martin Marotta Siswo Utomo, Mardi Siti Delimasari Siti Fatonah Siti Hartinah Siti Maesaroh Siti Nurhayati Siti Rahayu Siti Rihastuti Siti Rokhmah Siti Solekhah Slamet Slamet Slamet Slamet Sobirin, Rahmat Sofyan Pariyasto Solikin, Arif Fajar Sri Handayani Sri Hartati Sri Lestari Rahayu Sri Wahyuningsih Sri Wulandari Sri Wulandari Sri Wulandari Sri Yanto Qodarbaskoro Sriyati, Sriyati Sry Faslia Hamka Sudarmawan Sudarmawan Sudarmawan - Sudarmawan . Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan Sudarmawan, Sudarmawan Sudarsono, Dibyo Sudarto Sudarto Sudiana Sudiana Sugi Harsono Sugihandono, Agus Suhardi Marli Suhendri Sukasna . Sukasna, Sukasna Supraba, Laksmita Dewi Supriantara Supriantara Supriatin Supriatin Supriyati Supriyati Surya Wibowo, Sapta Hary Suyono, Ayu Adelina Swardiana, I Wayan Pandu Swastikawati, Claudia Syafutra, Arif Dwi Syah, Firdiyan Syaiful Huda Syaiful Huda Syaiful Ramadhan Syamsu Hidayat Tala, WD. Syarni Tamaulina Br Sembiring Tampubolon, Jandri Tamuntuan, Virginia Teguh Arlovin Teguh Sri Pamungkas Theofanis Orphanoudakis Thiro Kabul Y, Yudhis Tika Dedy Prastyo Tito Prabowo Toifur, Tubagus Tolla, Yefta Tonny Hidayat TONNY HIDAYAT Tri Andi Tri Anggoro Tri Haryanti Tri Nugroho, Arief Tubagus Toifur Tukan, Ewaldus Ambrosius Turmuzi Tutik Maryana Tutut Dwi Prihatin Ula, M. Izul Umam Faqih Zubaedi Umdatur Rosyidah Utami Ema Uyock Anggoro Saputro Veny Cahya Hardita Vera Wati Victor Saputra Ginting Victor Saputra Ginting Vinnesa Patricia Carolina Wahyu Adie Saputro Wahyu Nugraha Wahyu Nur Alimyaningtias Wahyu Pujiharto, Eka Wahyu Sindu Prasetya Wahyu Wijaya Widiyanto Wahyudi, Alfian Cahyo Walidy Rahman Hakim Wangsa, Sabda Sastra Wariyanto Abdullah, Robi Wartono Wartono Wati, Vera wati, Vera Wauran, Alfrets Septy Wicaksono, Kurniawan Widdi Djatmiko Widiyanto, Wahyu Wijaya Widyanto, Agung Wijaya, Jodi Winarnie Winarto, Hendri Wira Dimuksa Wiwi Widayani Wiwi Widayani, Wiwi Wiwit Supriyanti Wulandari, Sri Y. P., Ryan Dwi Yanuargi, Bayu Yeyen Dwi Atma Yoga Handoko Agustin Yohanes Setyo Prabowo, Yohanes Setyo Yossy Ariyanto Yovita Kinanti Kumarahadi Yuana, Kumara Ari Yudha Chirstianto F Yuli Astuti Yuliana Yuliana, Yuliana Yuliani, Enie Yulita Fatma Andriani Yulius Nahak tetik Yuni Ambar S Yunita, Risca Yunita, Selviana Yusrinnatul Jinana triadin Yustian Servanda Yusuf Fadlila Rachman Yusuf Fadlila Rachman Yusuf Wahyu Setiya Putra Yuza, Adela Zaenul Amri Zakaria Zakaria Zenal Muttaqin Zeni Muhamad Noer Zuhri, Muhammad Rafli Zul Hisyam Zulkarnain, Imam Alfath Zulkarnain, Jefri Zulkipli Zulkipli Zulpan Hadi Zumarni, Zumarni

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