Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

35.439

P-Index

This Author published in this journals

Kusrini

Universitas Amikom Yogyakarta

Author-ID : 302666

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Transportation Other

Published : 547 Documents Claim Missing Document

Claim Missing Document

Articles

4 5 6 7 8

Deteksi Motif Batik Menggunakan Ekstraksi Tekstur dan Jaringan Syaraf Tiruan Amanullah, Raynaldi Fatih; Pujianto, Ade; Pratama, Bayu Trisna; Kusrini, Kusrini
CSRID (Computer Science Research and Its Development Journal) Vol 10, No 2 (2018): CSRID Juni 2018
Publisher : Universitas Potensi Utama

Penelitian ini mengajukan sebuah metode klasifikasi batik menggunakan ekstraksi fitur tekstur serta klasifikasi menggunakan jaringan syaraf tiruan (artificial neural network).Â Metode ekstraksi fitur tekstur yang digunakan adalah DWT, GLCM dan Local Binary Pattern (LBP). Ekstraksi fitur dengan GLCM dan DWT menghasilkan 24 fitur yang terdiri dari 5 fitur GLCM dan koefisien energi dalam 4 sub-band channel hasil dekomposisi. Sementara ekstraksi fitur dengan LBP dilakukan dengan membangun histogram dari matriks hasil LBP. Fitur-fitur tersebut kemudian menjadi masukan bagi jaringan syaraf tiruan untuk kemudian diklasifikasi dalam 5 jenis batik: buketan, ceplok, kawung, parang dan truntum. Dataset yang digunakan adalah 50 gambar batik (10 untuk setiap motif) yang diambil secara acak di internet.Â Pengujian dilakukan dengan membandingkan dua kelompok fitur: DWT-GLCM dan DWT-GLCM-LBP untuk mengetahui metode ekstraksi fitur yang lebih baik dalam deteksi motif batik. Metode pengujian yang digunakan adalah K-Fold Cross Validation dengan hasil berupa confusion matriks untuk kemudian dihitung nilai akurasi dan F-Measure-nya. Hasil pengujian menunjukkan bahwa penggunaan ekstraksi fitur tekstur DWT-GLCM-LBP mampu mencapai akurasi 74% dengan jenis dekomposisi Daubechies 4 level 3.

TEXT MINING DOKUMEN TWEET PADA TWITTER UNTUK KLASIFIKASI KARAKTER CALON KARYAWAN Saifudin, Saifudin; Kusrini, Kusrini; Fatta, Hanif Al
Informasi Interaktif Vol 5, No 1 (2020): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Recruitment is a means to prepare as many workers as possible according to the requirements and qualifications expected by the organization. In recruitment one of the things that is calculated is the character of the prospective employee itself. Companies or organizations usually carry out psychological tests and interviews to get the character of prospective employees. This will make the recruitment process longer and require a lot of money. One way to find out a person's character can be done by looking at the publication of daily activities on various social media. In this study the classification of prospective employees is based on tweets found on twitter. The results of this study are grouping prospective employees based on their characters using the naÃ¯ve bayes classifier algorithm. From the research that has been done naÃ¯ve bayes classifier algorithm has an accuracy accuracy of an average of 52% by weighting using the term document frequency.Keywords: NaÃ¯ve Bayes Classifier, TFIDF, Character

CLUSTERING DATA NILAI ADAPTIF SISWA MENGGUNAKAN ALGORITMA K-MEANS Khoironi, Khoironi; Kusrini, Kusrini; Arief, Rudyanto
Informasi Interaktif Vol 5, No 2 (2020): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar

Student success rates and low student failure rates are a reflection of the quality of education, at this time the value does not determine the success of students in the next stage, but the uniqueness in itself that is represented in each grade they achieve, maybe students fail in mathematics but he succeeded in chemistry. it does not indicate he failed but he has shown its strengths in other respects namely other subjects, therefore this study seeks to find the positive side of students by classifying the value of subjects achieved by implementing the K-Means method in its application which will provide cluster output of each subject. K-Means method was chosen because this method can group items in k groups (where k is the number of groups or clusters desired, so the results of this termination are clusters of student grades grouped by subjects. K-Means is effective for clustering data by showing good accuracy value, this is indicated by the results of evaluations using Bouldin index davies on student data using K-Means which is equal to -1,478. Keywords: Cluster, K-Means, Education, Davies-Bouldin.

PENERAPAN ALGORITMA PALGUNADI PADA SPLIT DELIVERY VEHICLE ROUTING PROBLEM UNTUK PENDISTRIBUSIAN MULTI PRODUK Wulandari, Sri; Kusrini, Kusrini; Arief, M. Rudyanto
Informasi Interaktif Vol 4, No 1 (2019): Jurnal Informasi Interaktif
Publisher : Universitas Janabadra

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (337.932 KB)

Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Transportation is one area in the supply chain management that determines how and when to send goods to consumers. Determination of distribution routes has an effect on transportation costs. In delivering goods, the company must be able to determine the configuration of the distribution line appropriately so that shipping becomes fast and does not cost much. This study, we will develop a SDVRP solution method for multiple-products distribution. Solving the SDVRP problem for multiple-products distribution will use the Palgunadi Algorithm with the aim of determining the distribution route so that the minimum total distribution costs are obtained. This study uses data about the distribution of fuel in the NTT region with many agents 8 and many types of products 3. There are 3 types of tankers used. The results of the study produced 3 alternative distributions based on the type of tanker used. The use of type 2 (3,500) tankers results in a minimum total distribution cost with the number of routes and tankers used is 2.Â Keywords: SDVRP, Palgunadi Algorithm, Multiple Products

Sistem Rekomendasi Pemilihan Kamera Dslr / Mirroless Menggunakan Metode NaÃ¯ve Bayes Wicaksono, Kurniawan; Kusrini, Kusrini; Kurniawan, Mei P
Jurnal Teknologi Informasi RESPATI Vol 16, No 1 (2021)
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/jtir.v16i1.387

INTISARIPerkembangan informasi ditengah masyarakat tidak hanya sekedar lisan atau tulisan saja. Bentuk visual mendukung suatu informasi yang disampaikan. Begitu pula dengan fotografi yang menyampaikan sesuatu kepada orang lain atau hanya sebagai suatu penunjuk ekspresi diri fotografernya. Dilansir oleh situs blog blibli.com (2019) bahwa tren fotografi selalu meningkat setiap tahunnya dari yang dahulu hanya untuk foto pada album saja hingga saat ini dijadikan momen untuk diupload di social media, hal ini menyebabkan permintaan kamera semakin meningkat. Pada tren ini semua manu-sia membutuhkan alat elektronik seperti kamera dan tidak memandang usia, kalangan dan profesi, akan tetapi banyak juga sebagian dari mereka yang belum mengetahui ukuran bentuk dan hasil dari kamera yang mereka gunakan saat ini. Oleh karena itu dibutuhkan sebuah sistem rekomendasi yang dapat membantu pembeli kamera dalam memilih kamera yang sesuai dengan kebutuhan yang akan digunakan.. Untuk menjalankan proses rekomendasi sistem membutuhkan metode dalam melakukan perhitungan untuk menghasilkan sebuah rekomendasi kamera. NaÃ¯ve bayes merupakan sebuah metode yang dapat digunakan untuk perhitungan rekomendasi, proses naÃ¯ve bayes bekerja dengan penilaian probabilitas dari data terdahulu. Hasil Akhir pada penelitian ini adalahÂ nilai tingkat performa akurasi tertinggi dengan nilai 87,92% yang didapat pada subset 4 dengan jumlah data 400, performa presisi tertinggi 87,36% yang didapat pada subset 4 dengan jumlah data 400, dan waktu training tercepat dengan nilai 3,7 detik yang didapat pada subset 1 dengan jumlah data 100.Kata kunciâ€” Rekomendasi, Kamera, DSLR, Mirrorless, Naive Bayes.Â ABSTRACTThe development of information in the community is not just verbal or written. Visual form that supports the information conveyed. Similarly, photography that conveys something to others or just by appointing a photographer's self-reference. Reported by the blog site blibli.com (2019) that the photography trend is always increasing every year from those issued only for photos on the album to date taken when uploaded on social media, this causes camera buying to increase. In this trend all people need electronic devices such as cameras and do not pay attention to age, circles and professions, but also have many of them who do not yet know the size and results of the cameras they use today. Therefore we need a system that will help the camera buyer in choosing the camera that suits the needs to be used. To start the evaluation process the system needs a method of doing calculations to produce a supporting camera. NaÃ¯ve Bayes is a method that can be used for valuation, the naÃ¯ve Bayes process works by calculating probabilities from initial data. The final results in this study are the highest value of performance appraisal with a value of 87.92% obtained in subset 4 with the amount of data 400, the highest precision performance 87.36% obtained in subset 4 with the amount of data 400, and the fastest training time with a value of 3.7 seconds are obtained in subset 1 with a total of 100 data.Kata kunciâ€” Â : Recommendation, Camera, DSLR, Mirrorless, Naive Bayes.Â

Evaluasi Tata Kelola TI Berdasarkan Perspektif Internal Balance Scorecard dan Framework Cobit 4.1 (Studi Kasus: Institut Teknologi Budi Utomo Jakarta Timur) Destyanto, Febrian; Kusrini, Kusrini; Henderi, Henderi
Jurnal Teknologi Informasi RESPATI Vol 15, No 2 (2020)
Publisher : Universitas Respati Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35842/jtir.v15i2.346

INTISARITata kelola sistem informasi menentukan tingkat pencapaian dari tujuan bisnis perusahaan. Semakin baik tata kelola sistem informasi berdampak pada keberhasilan mengelola proses dan tujuan bisnis dalam aspek akuntabilitas, resposibilitas dan transparansi. Model COBIT 4.1 digunakan untuk dapat mengukur tingkat keberhasilan suatu tata kelola sistem informasi sesuai dengan tujuan bisnis perusahaan. penelitian ini dilakukan untuk mengetahui tingkat kematangan tata kelola sistem informasi dari institut teknologi budi utomo dengan menggunakan perspektif internal dengan focus peningkatan dan pemeliharaan fungsionalitas proses bisnis pada model Balanced Scorecard sebagai alat untuk memetakan rencana strategis perusahaan, lalu dilakukan pengukuran tingkat kematangan menggunakan sub domain terpilih pada COBIT 4.1. Dari pemetaan Balanced Scorecard dan COBIT4.1 diperoleh sub domain PO2, PO3, AI2, AI4, dan AI7 yang digunakan untuk mengevaluasi tata kelola sistem informasi pada institut teknologi budi utomo berdasarkan model framework COBIT 4.1. Hasil pengukuran tingkat kematangan sub domain terpilih didapatkan hasil tingkat kematangan level 2 atau proses sudah dilakukan namun belum baku dan terdokumentasi secara terstruktur. Sedangkan tingkat kematangan yang diharapkan berada pada level 3 atau proses sudah terdefinisi baku dan terdokumentasi dengan struktur yang jelas dan baik. Hasil akhir dari penelitian berupa rekomendasi perbaikan untuk menuju tingkat kematangan yang diharapkan.Â Kata Kunci : Tingkat Kematangan, Balanced Scorecard (BSC), Perspektif Internal, COBIT 4.1, Tata Kelola Sistem InformasiÂ ABSTRACTInformation system governance determines the level of achievement of the company's business goals. The better governance of information systems affects the success of managing business processes and objectives in aspects of accountability, resposibility and approval. The COBIT 4.1 model is used to measure the success of an information system governance in accordance with the company's business goals. This research was conducted to study the maturity level of information systems governance Institut Teknologi Budi Utomo using an internal perspective with a focus on improving and maintaining business process functionality in the Balanced Scorecard model as a tool to map out the company's strategic plan, then measuring the maturity level using sub domains obtained in COBIT 4.1. From the mapping of the Balanced Scorecard and COBIT4.1, PO2, PO3, AI2, AI4, and AI7 sub-domains are used to collect information systems governance at the utmost Budi technology institution based on the framework of the COBIT 4.1 model. The results of the measurement of the level of maturity of the sub domain are taken the level 2 maturity level results or the process has been carried out but not yet standardized and structured documented. While the expected level of maturity at level 3 or process is standard and documented with a clear and good structure. The final results of the study consisted of improvements to achieve the expected level of maturity.Â Keywords: Maturity Level, Balanced Scorecard (BSC), Internal Perspective, COBIT 4.1, Information System Governance

Analisis dan Pengembangan Pipeline Cloth Simulation Pada Produksi Animasi 3D di MSV Studio Safagi, Ardian Yuligar; Kusrini, Kusrini; Al Fatta, Hanif
Creative Information Technology Journal Vol 7, No 2 (2020): Juli - Desember
Publisher : UNIVERSITAS AMIKOM YOGYAKARTA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24076/citec.2020v7i2.255

Pengaruh penerapan pipeline dalam sebuah industry animasi 3d sangat mempengaruhi produksi animasi agar maksimal. Dalam masing-masing divisi juga terdapat pipeline yang digunakan contohnya pipeline pada divisi cloth simulation. Pada MSV Studio pipeline simulasi yang diterapkan di divisi cloth simulation masih terdapat beberapa kendala pada saat produksi. Cara kerja pipeline yang sudah ada yaitu pada saat proses pengecekan data asset yang masih manual antara Sceneres dan Renderes yang diperlukan untuk simulasi cloth masih sering terjadi kesalahan seperti human error dan set up cloth masih dilakukan disetiap shot. Dari masalah tersebut diusulkan untuk dilakukan pengembangan pipeline cloth simulation agar bisa meminimalisir kesalahan dan menghemat waktu pengerjaan. Hasil dari produksi film animasi sangat dipengaruhi oleh pipeline yang digunakan dalam produksi tersebut. Studi ini memberikan gambaran bagaimana sebuah pipeline ikut andil besar dalam sebuah hasil dari produksi film animasi 3D terutama dalam masalah waktu. Pada akhirnya studi ini dapat menjadi acuan dalam pembuatan sebuah pipeline film animasi khususnya pada divisi cloth simulation.Kata Kunci â€” pipeline, cloth simulation, animasi 3DThe effect of pipeline application in a 3D animation industry greatly influences the production of animation for maximizing. In each division. there is also a pipeline that is used for example the pipeline in the cloth simulation division. In the MSV studio pipeline simulation applied in the cloth simulation division there were still some obstacles during production. The work of the existing pipeline during the process of checking asset data which is still manual between Sceneres and Renderes needed for cloth simulation is still often had an error such as human error and set up cloth still done in every shot. From this problem it is proposed to develop a pipeline cloth simulation in order to minimize errors and saving time processing. The results of the production of animated films are strongly influenced by the pipeline used in the production. This studyprovides an illustration of how a pipeline contributes greatly to the results of the production of 3D animated films, especially in the matter of time. In the end, this study can be a reference in making an animation film pipeline, especially in the cloth simulation division.Keywords â€” pipeline, cloth simulation, 3D animation

Komparasi Algoritma Naive Bayes dan K-Nearest Neighbor untuk Membangun Pengetahuan Diagnosa Penyakit Diabetes Nurmalasari, Maulidya Dwi; Kusrini, Kusrini; Sudarmawan, Sudarmawan
Jurnal Komtika (Komputasi dan Informatika) Vol 5 No 1 (2021)
Publisher : Universitas Muhammadiyah Magelang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31603/komtika.v5i1.5140

Diabetes is caused by a deficiency of the hormone insulin, which is secreted by the pancreas to lower blood sugar levels. The factors that trigger the occurrence of diabetes are derived from various factors such as a combination of genetic and environmental factors. The phenomenon of the emergence of various beverage brand outlets can be one of the triggers for blood sugar levels in humans. Normal blood sugar levels in the body range from 70-130 mg/dL before eating, less than 180 mg/dL two hours after eating, less than 100 mg/dL after not eating or surviving for eight hours, and 100-140 mg/dL at bedtime. This research aims to determine which algorithm is suitable for building knowledge about diabetes using the NaÃ¯ve Bayes and K-Nearest Neighbor (KNN) algorithm. The accuracy results from NaÃ¯ve Bayes are 85.60% and K- Nearest Neighbor of 91.61%. The results showed that K-Nearest Neighbor proved to have the best accuracy.

ANALISIS PRIORITAS PASIEN COVID-19 UNTUK RAWAT INAP MENGGUNAKAN LOGISTIC REGRESSION DAN AHP Prasetio, Dimaz Arno; Zein, Hamada; Kusrini, Kusrini; Supriatin, Supriatin
CSRID (Computer Science Research and Its Development Journal) Vol 13, No 3 (2021): CSRID OKTOBER 2021
Publisher : Universitas Potensi Utama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22303/csrid.13.3.2021.149-157

Kondisi bertambahnya pasien covid-19 ini tidak sebanding dengan jumlah kamar yang tersedia di rumah sakit atau tempat khusus yang ditunjuk sebagai tempat isolasi pasien covid-19. Kekurangan ruang isolasi dan fasilitas juga dialami oleh rumah sakit lainnya diseluruh wilayah Indonesia. Sedikitnya jumlah kamar yang tersedia pada rumah sakit dan terbatasnya jumlah dan tenaga para dokter dan perawat maka diperlukan sebuah sistem untuk membantu dokter memberikan rekomendasi perangkingan pasien yang dapat masuk sebagai pasien rawat inap sehingga pasien, penggunaan ruangan, fasilitas serta tenaga yang ada menjadi lebih efisien serta mampu menolong semua pasien yang benar-benar membutuhkan. Dengan pemodelan yang diajukan AHP dapat membantu memberikan keputusan yang cepat dan dengan algoritma logistic regression mampu membantu mempercepat keputusan dari salah satu kriteria pada AHP yang digunakan dengan tingkat akurasi pengklasifikasian kondisi paru paru pasien sebesar 97.14%.

RANCANG BANGUN MODEL PEMBELAJARAN BAHASA INGGRIS INTERAKTIF BERBASIS MULTIMEDIA Romodon, Dion; Kusrini, Kusrini; Fatah, Amir
AMONG MAKARTI Vol 6, No 1 (2013): AMONG MAKARTI
Publisher : Jurnal Ilmiah Among Makarti, STIE AMA Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52353/ama.v6i1.78

Abstract This research aims to design an English learning program based interactive multimedia learning resources and quality as an alternative media that can be used to increase student motivation and understanding shown by national test scores of English.The try-out subjects in this study are 71 students as respondent. There are two experts, consisting of matter experts and media expert. Beside that there are 10 students for the test user. The data was collected using a questionnaire and English test (pre-test and post-test). Evaluation of the program in terms of aspects, and aspects of learning media.Criticisms and suggestions are used to improve the program.The results showed that the development of multimedia learning has been using the principles of development which include: analytics, product development, validation, revision, testing and preparation of the final product. Multimedia quality in terms of material aspects including the excellent category with 89.59% votes. Quality of multimedia instructional media experts including the excellent category with 94.47% votes. Test English with through pre-test and post-test which was built through the program show an increase in mastery learning. 89.33% for manual assessment and students 85.84%. Increased scores indicate that the learning programs improve student learning outcomes for national test preparation. Key word: desain model,Interactive,multimedia,learning English,Adobe Flash

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 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 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 BHANU SRI NUGRAHA 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 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 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 Mardiana Mardiana marhalim, marhalim Marissa Utami 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 Noor Arridho Muhammad Resa Arif Yudianto Muhammad Riandi Widiyantoro Muhammad Riza Eko S Muhammad Rudyanto Arief Muhammad Rudyanto Arief Muhammad Rudyanto Arief Arief Muhammad Salimy Ahsan Muhammad Suyanto, Muhammad 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 Rizkayati, Anisa Rizki Firdaus Mulya Rizki Mawan Rizky Aries Saputra Rizqi Sukma Kharisma Robi Wariyanto Abdullah Rohman, Arif Nur Rona Guines Purnasiwi Rooy Thaniket Rosadi, Ilham Aziz 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 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

Title

Found 547 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 547 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 547 Documents
Search