Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

8.269

P-Index

This Author published in this journals

All Journal International Journal of Electrical and Computer Engineering TEKNIK INFORMATIKA Media Informatika Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Teknik Jurnal Teknologi dan Manajemen Informatika Jurnal Buana Informatika Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika AJIE (Asian Journal of Innovation and Entrepreneurship) Register: Jurnal Ilmiah Teknologi Sistem Informasi JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) SemanTIK : Teknik Informasi JURNAL MEDIA INFORMATIKA BUDIDARMA Network Engineering Research Operation [NERO] Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control IT JOURNAL RESEARCH AND DEVELOPMENT Seminar Nasional Teknologi Informasi Komunikasi dan Industri JRST (Jurnal Riset Sains dan Teknologi) JURNAL ILMIAH INFORMATIKA JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Jiko (Jurnal Informatika dan komputer) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JUMANJI (Jurnal Masyarakat Informatika Unjani) Jurnal Ilmiah Sinus EDUMATIC: Jurnal Pendidikan Informatika JISKa (Jurnal Informatika Sunan Kalijaga) Technologia: Jurnal Ilmiah Infotekmesin Mobile and Forensics Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) JUSTINDO (Jurnal Sistem dan Teknologi Informasi Indonesia) Cyber Security dan Forensik Digital (CSFD) JATI (Jurnal Mahasiswa Teknik Informatika) JIIP (Jurnal Ilmiah Ilmu Pendidikan) JITU : Journal Informatic Technology And Communication Automata Journal of Education Informatic Technology and Science Just TI (Jurnal Sains Terapan Teknologi Informasi) JURNAL PENDIDIKAN, SAINS DAN TEKNOLOGI Jurnal Teknik Informatika (JUTIF) Phasti: Jurnal Teknik Informatika Politeknik Hasnur Jurnal Media Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Abdi Masyarakat Indonesia Indonesian Journal of Networking and Security - IJNS SPEED - Sentra Penelitian Engineering dan Edukasi Reformasi Hukum Malcom: Indonesian Journal of Machine Learning and Computer Science Jurnal Indonesia Sosial Teknologi Prosiding SEMNAS INOTEK (Seminar Nasional Inovasi Teknologi) Jurnal Elektronika dan Teknik Informatika Terapan Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi

Yudi prayudi

Universitas Islam Indonesia

Author-ID : 511103

Humanities Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Neuroscience Public Health Social Sciences Transportation Other

Published : 116 Documents Claim Missing Document

Claim Missing Document

Articles

8 9 10 11 12

INTEGRASI DIGITAL FORENSIC READINESS DAN INFORMATION SECURITY MANAGEMENT SYSTEM PADA ORGANISASI PEMERINTAHAN: SYSTEMATIC LITERATURE REVIEW Agung Firmansyah, Rico; Prayudi, Yudi; Luthfi, Ahmad
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 9 No. 2 (2025): JATI Vol. 9 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v9i2.13126

Transformasi digital di Indonesia dan berbagai negara membawa manfaat signifikan, seperti peningkatan layanan publik melalui e-government, e-payment dan layanan lainnya. Namun, transformasi ini menghadirkan tantangan dalam pengelolaan keamanan data digital dengan meningkatnya insiden seperti serangan ransomware, eksploitasi sistem, pelanggaran data, dan insiden keamanan siber lainnya. Information Security Management System (ISMS) standar dan framework yang mendukung tata kelola dan manajemen keamanan informasi, namun sering kali tidak mencakup Digital Forensic Readiness (DFR) yang menjadi framework esensial untuk menghadapi ancaman siber yaitu pengumpulan, analisis, dokumentasi bukti digital, respon terhadap insiden hingga preservasi dalam proses hukum jika dibutuhkan. Tidak diterapkannya DFR-ISMS berpotensi tidak dapat dilakukannya pengendalian dan respon pasca insiden. Mengintegrasikan DFR ke dalam ISMS menjadi solusi peningkatan efisiensi dan efektivitas pengelolaan insiden. Penelitian ini menggunakan pendekatan Systematic Literature Review (SLR) untuk mengidentifikasi tren, tantangan, dan peluang integrasi DFR dalam ISMS di e-government. Data dari 1.054 artikel Scopus difilter dan dianalisis menggunakan Protokol PRISMA, menghasilkan 64 artikel. Analisis SLR menghasilkan temuan negara terbanyak yang menganalisa topik ini dengan Metode Kuantitatif adalah Afrika Selatan, Ingris, Yunani dan China, sedangkan teori yang digunakan ISO 27043 sebagai basisnya serta FDR-ISMS sebagai frameworknya. Hasil analisa tersebut menunjukkan integrasi DFR dan ISMS sangat dibutuhkan untuk meningkatkan kesiapan keamanan siber, memperkuat akuntabilitas, serta meminimalkan risiko.

PENINGKATAN KEAMANAN DATA TERHADAP SERANGAN REMOTE ACCESS TROJAN (RAT) PADA CYBERCRIMINAL MENGGUNAKAN METODE DYNAMIC STATIC NANNY, NANNY; PRAYUDI, YUDI; RIADI, IMAM
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 4 No 2 (2019): OCTOBER
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Remote Access Trojan (RAT) merupakan program malware jenis Trojan Horse yang mencakup pintu belakang (backdoor) untuk kontrol administratif atas komputer target. Penelitian ini melakukan skenario penyerangan untuk mengetahui cara kerja serangan RAT, melakukan serangan RAT dan meningkatkan keamanan data dari serangan RAT melalui simulasi dan manfaat dari MikroTik. Program malware jenis trojan njRAT sebagai media simulasi antara laptop attacker (penyerang) dan laptop victim (korban). Metode yang digunakan adalah metode Dynamic Static, dimana dalam pengaturan jaringan dengan menentukan IP Address, yaitu menghubungkan 2 (dua) MikroTik Router, Router RB951Ui Versi 6 di laptop attacker dan Router RB931-2nD di laptop korban. Beberapa tools forensik yang digunakan diantaranya Wireshark, Disk Investigator, Virus Total sebagai proses analisis. Kata kunci : firewall, njRAT, Remote Access Trojan (RAT), router

Perbandingan Hasil Recovery File terhadap Penghapusan File menggunakan Perintah Sdelete dan Shift+Delete: indonesia Rosi Rahmadi Syahputra; Prayudi, Yudi
Asian Journal of Innovation and Entrepreneurship Volume 09, Issue 02, May 2025
Publisher : UII

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/ajie.vol9.iss2.art5

The recovery of deleted data is an important aspect of forensic digital investigations, especially in identifying relevant evidence. However, deletion techniques such as the Sdelete command implement the Department of Defense (DoD) 5220.22-M standard which can permanently delete so that the process of recovering digital evidence from storage media will be difficult, while deletion using Shift+Delete only removes file references without overwriting the data, thus allowing data recovery with file carving techniques. This study uses a static forensic method, where the data in the flash drive has been deleted and acquired using FTK Imager so as to produce an imaging file to maintain the integrity of the evidence. After that, the imaging file is processed using file carving tools. This study aims to compare the results of deleted recovery using the Sdelete command and the Shift + Delete key combination and assess based on the highest percentage of the results of three file carving tools, namely Autopsy, Axiom Magnet, and Photore. The results of the study show that files deleted using Sdelete cannot be recovered by the three tools, both in terms of artifact findings and the suitability of hash values, according to Microsoft's claims. In contrast, files that have been deleted using the Shift + Delete key combination can still be recovered with varying success. PhotoRec has the highest recovery rate (90%), followed by Autopsy (88%) and Axiom Magnet (60%). In terms of hash value suitability, PhotoRec reaches 80%, while Autopsy 76% and Axiom Magnet 50%. These findings confirm that Sdelete is effective in permanently deleting data, while the Shift + Delete combination still allows for recovery with varying success rates. The author hopes that this research can be a new knowledge for digital forensic investigators in terms of selecting the most suitable file carving tools for digital evidence recovery.

Securing Electronic Medical Documents Using AES and LZMA Raharjo, Toto; Yudi Prayudi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 2 (2025): April 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i2.6260

With increasing threats in cyberspace, maintaining the integrity of electronic medical data is crucial. This study aims to develop a method that integrates encryption using Advanced Encryption Standard (AES) and compression with the Lempel-Ziv-Markov Algorithm (LZMA) to protect DICOM files containing sensitive information. This method is designed to address two main challenges: the growth of file sizes after the encryption process and the efficiency in data storage. In this study, an experimental design with random sampling was applied, testing 427 DICOM files from open libraries ranging in size from 513.06 KB to 513.39 KB to evaluate the implementation of this method in reducing file size, encryption time, and maintaining data integrity. The results show that this method is able to reduce file size by between 40-50% with an average encryption time of about 0.2-0.3 seconds per file. In addition, the data remains intact before and after the encryption process, which indicates that the integrity of the data is well maintained. Further analysis revealed that CPU usage during the encryption process reached 94.05%, while memory usage was recorded at 92.95 KB. In contrast, in the decryption process, CPU usage decreased to 78.16% with a much lower memory consumption, which was 31.07 KB. The findings have significant implications for medical information systems, allowing developers to easily implement these methods through APIs. This research is expected to be a reference for future studies that focus on data security in health information systems and provide new insights into the combination of encryption and compression in the context of medical data.

Analisis Kualitas Audio Steganografi MP3 Menggunakan Teknik Masking Pada Spectrogram Madi, Permadi Kusuma; Prayudi, Yudi
Jurnal Sains, Nalar, dan Aplikasi Teknologi Informasi Vol. 4 No. 2 (2025)
Publisher : Department of Informatics Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/snati.v4.i2.40248

Steganografi menyembunyikan informasi rahasia melalui media seperti audio, video dan gambar. Penelitian ini bertujuan untuk menerapkan teknik masking pada spectrogram audio dari media MP3, serta menganalisis hasil steganografi menggunakan pendekatan pemrograman Python dengan pustaka Librosa. Permasalahan pada penelitian ini ialah bagaimana menyisipkan pesan rahasia ke dalam file audio tanpa mengganggu kualitas suara, dan pesan rahasia dapat dideteksi menggunakan teknik masking. Sehingga proses penyisipan dilakukan dengan memanfaatkan area frekuensi tertentu pada spectrogram yang cenderung tidak sensitif terhadap persepsi manusia. Sampel audio yang digunakan dalam penelitian ini terdiri dari lagu Bernadya - Hidup Harus Tetap Berjalan, nada dering Samsung Galaxy S3 dan Samsung Galaxy S20. Analisis audio dilakukan melalui visualisasi spectrogram, ekstraksi fitur Mel-Frequency Cepstral Coefficients (MFCC), Zero-Crossing Rate (ZCR), serta evaluasi metadata file audio. Tujuan dari analisis ini adalah untuk melihat apakah ada pola pola aneh atau tidak wajar yang muncul akibat penyisipan pesan rahasia dalam file audio. Jadi ketika ada data disisipkan secara tersembunyi, biasanya akan muncul perbedaan kecil dalam bentuk garis, noise, atau perubahan struktur visual yang tidak alami. Hasil penelitian menunjukkan bahwa penyisipan pesan berhasil dilakukan menggunakan teknik masking, namun menimbulkan perubahan pada karakteristik visual dan statistik sinyal audio asli dengan hasil steganografi. Sedangkan kualitas suara tidak jauh berbeda dengan audio asli.

Forensic Analysis of Web Scraping Documents on Carding Forums and Shops using Latent Dirichlet Allocation: Profiling Forensic and NLP Approaches for Cybercrime Investigation Adristi, Fikri Irfan; Prayudi, Yudi
JOIN (Jurnal Online Informatika) Vol 10 No 2 (2025)
Publisher : Department of Informatics, UIN Sunan Gunung Djati Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15575/join.v10i2.1603

This research is based on the massive cybercrime activity in carding forums and carding shops. Based on the many victims and losses from these activities a cybercrime investigation action is needed by a digital forensic investigator. The purpose of this study is to develop a forensic carding investigation framework based on document analysis of web scraping results on carding forums and carding shops, which applies forensic profiling analysis methods and natural language processing based on the latent dirichlet allocation (LDA) algorithm. The tools used for web scraping in this study are WebHarvy Version 7.3.0.222. The tools used for data processing in this study are Microsoft Excel and Orange Data Mining. The conclusion of this study shows that the application of web scraping investigation techniques on carding forums and carding shops based on an carding investigation framework has been effective in collecting relevant data and analyzing the activities of cybercriminal appropriately. Overall, this study has succeeded in developing a more organized and data-driven approach to dealing with crimes in carding forums and carding shops, which can be a reference for further research and application in the field of digital forensic investigation.

Membandingkan Tingkat Kemiripan Rekaman Voice Changer Menggunakan Analisis Pitch, Formant Dan Spectogram Subki, Ahmad; Sugiantoro, Bambang; Prayudi, Yudi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 5 No 1: Februari 2018
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Audio forensik merupakan salah satu ilmu yang mnyandingkan antara ilmu pengetahuan dan metode ilmiah dalam proses analisis rekaman suara untuk membantu dan mendukung pengungkapan suatu tindak kejahatan yang diperlukan dalam proses persidangan. Undang-undang ITE No.19 Tahun 2016 menyebutkan bahwa rekaman suara merupakan salah satu alat bukti digital yang sah dan dapat digunakan sebagai penguat dakwaan. Rekaman suara yang merupakan barang bukti digital sangatlah mudah dan rentan dimanipulasi, baik secara sengaja maupun tidak disengaja. Pada penelitian ini dilakukan analisis terkait tingkat kemiripan antara rekaman suara voice changer dengan rekaman suara asli menggunakan analisis pitch, formant dan spectogram, rekaman suara yang dianalisis ada dua jenis rekaman suara yaitu suara laki-laki dan suara perempuan. Rekaman suara voice changer dan rekaman suara asli, diekstrak menggunakan tools praat kemudian informasi yang diperoleh dianalisis dengan analisis statistik pitch, formant dan spectrogrammenggunakan tools gnumeric. Penelitian ini menghasilkan bahwa analisis rekaman suara voice changer dengan rekaman suara asli dapat menggunakan analisis statistik pitch, formant dan spectrogram, rekaman suara voice changer A memiliki tingkat kemiripan yang paling tinggi dengan rekaman suara asli pada posisi low pitch, sedangkan voice changer yang lain lebih sulit untuk diidentifikasi.

Eksplorasi ABAC dan XACML untuk Design Access Control pada Resource Digital Natsir, Fauzan; Riadi, Imam; Prayudi, Yudi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 6 No 5: Oktober 2019
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Resource digital memerlukan sebuah mekanisme untuk mengatur policy terhadap kontrol untuk mendapatkan hak akes ke dalam suatu sistem. Akses kontrol lebih fleksibel dibanding dengan pendekatan otorisasi, autentikasi ataupun verifikasi yang sangat sederhana. Mekanisme access control policy dengan pendekatan atribut diyakini sebagai solusi adaptif yaitu ABAC (Attribute Based Access Control) dengan implementasi model XACML (Extensible Access Control Modelling Language). Desain policy ABAC ini disajikan dengan atribut-atribut dari salah satu studi kasus resource digital dengan sistem e-Library. e-Library merupakan salah satu resource digital dimana proses autentikasinya belum dimodelkan dengan atrubut subjek yang ada. Penelitian ini diawali dari identifikasi atribut dari rule, pemodelan ABAC resource digital, implementasi XACML, simulasi sistem dan analisis sistem. Hasil dari pengujian akses kontrol menggunakan ALFA (Axiomatics Language for Authorization) untuk pemberian kinerja akses kontrol terhadap resource digital. Hasil analisis dengan pendekatan ABAC dengan model XACML ini menyajikan suatu keamanan sistem dengan model akses kontrol berbasis atribut dari policy statement untuk menjadi solusi model akses kontrol yang dibuat sebelumnya dan mendukung model akses kontrol yang relevan untuk resource digitalAbstractDigital resources require a mechanism to regulate policy against controls to get access rights to a system. Access control is more flexible than the very simple approach of authorization, authentication or verification. The access control policy with the attribute approach is believed to be an adaptive solution, namely ABAC (Attribute Based Access Control) with the implementation of the XACML (Extensible Access Control Modeling Language) model. This ABAC policy design is presented with attributes from one of the digital resource case studies with the e-Library system. e-Library is one of the digital resources where the authentication process has not been modeled with the existing subject matter. This study begins with the identification of the attributes of the rule, digital ABAC resource modeling, XACML implementation, system simulation and system analysis. The results of testing access control using ALFA (Axiomatics Language for Authorization) to provide performance control access to digital resources. The results of the analysis using the ABAC approach with the XACML model present a system security with attribute-based access control models from policy statements to be a solution to the previously created access control model and support the access control model relevant for digital resources

Steganalisis Blind dengan Metode Convolutional Neural Network (CNN) Yedroudj- Net terhadap Tools Steganografi Hidayasari, Nurmi; Riadi, Imam; Prayudi, Yudi
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 7 No 4: Agustus 2020
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.2020703326

Steganalisis digunakan untuk mendeteksi ada atau tidaknya file steganografi. Salah satu kategori steganalisis adalah blind steganalisis, yaitu cara untuk mendeteksi file rahasia tanpa mengetahui metode steganografi apa yang digunakan. Sebuah penelitian mengusulkan bahwa metode Convolutional Neural Networks (CNN) dapat mendeteksi file steganografi menggunakan metode terbaru dengan nilai probabilitas kesalahan rendah dibandingkan metode lain, yaitu CNN Yedroudj-net. Sebagai metode steganalisis Machine Learning terbaru, diperlukan eksperimen untuk mengetahui apakah Yedroudj-net dapat menjadi steganalisis untuk keluaran dari tools steganografi yang biasa digunakan. Mengetahui kinerja CNN Yedroudj-net sangat penting, untuk mengukur tingkat kemampuannya dalam hal steganalisis dari beberapa tools. Apalagi sejauh ini, kinerja Machine Learning masih diragukan dalam blind steganalisis. Ditambah beberapa penelitian sebelumnya hanya berfokus pada metode tertentu untuk membuktikan kinerja teknik yang diusulkan, termasuk Yedroudj-net. Penelitian ini akan menggunakan lima alat yang cukup baik dalam hal steganografi, yaitu Hide In Picture (HIP), OpenStego, SilentEye, Steg dan S-Tools, yang tidak diketahui secara pasti metode steganografi apa yang digunakan pada alat tersebut. Metode Yedroudj-net akan diimplementasikan dalam file steganografi dari output lima alat. Kemudian perbandingan dengan tools steganalisis lain, yaitu StegSpy. Hasil penelitian menunjukkan bahwa Yedroudj-net bisa mendeteksi keberadaan file steganografi. Namun, jika dibandingkan dengan StegSpy hasil gambar yang tidak terdeteksi lebih tinggi.AbstractSteganalysis is used to detect the presence or absence of steganograpy files. One category of steganalysis is blind steganalysis, which is a way to detect secret files without knowing what steganography method is used. A study proposes that the Convolutional Neural Networks (CNN) method can detect steganographic files using the latest method with a low error probability value compared to other methods, namely CNN Yedroudj-net. As the latest Machine Learning steganalysis method, an experiment is needed to find out whether Yedroudj-net can be a steganalysis for the output of commonly used steganography tools. Knowing the performance of CNN Yedroudj-net is very important, to measure the level of ability in terms of steganalysis from several tools. Especially so far, Machine Learning performance is still doubtful in blind steganalysis. Plus some previous research only focused on certain methods to prove the performance of the proposed technique, including Yedroudj-net. This research will use five tools that are good enough in terms of steganography, namely Hide In Picture (HIP), OpenStego, SilentEye, Steg and S-Tools, which is not known exactly what steganography methods are used on the tool. The Yedroudj-net method will be implemented in a steganographic file from the output of five tools. Then compare with other steganalysis tools, namely StegSpy. The results showed that Yedroudj-net could detect the presence of steganographic files. However, when compared with StegSpy the results of undetected images are higher.

Network Forensics Against Address Resolution Protocol Spoofing Attacks Using Trigger, Acquire, Analysis, Report, Action Method Wijayanto, Agus; Riadi, Imam; Prayudi, Yudi; Sudinugraha, Tri
Register: Jurnal Ilmiah Teknologi Sistem Informasi Vol 8 No 2 (2022): July
Publisher : Information Systems - Universitas Pesantren Tinggi Darul Ulum

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26594/register.v8i2.2953

This study aims to obtain attack evidence and reconstruct commonly used address resolution protocol attacks as a first step to launch a moderately malicious attack. MiTM and DoS are the initiations of ARP spoofing attacks that are used as a follow-up attack from ARP spoofing. The impact is quite severe, ranging from data theft and denial of service to crippling network infrastructure systems. In this study, data collection was conducted by launching an test attack against a real network infrastructure involving 27 computers, one router, and four switches. This study uses a Mikrotik router by building a firewall to generate log files and uses the Tazmen Sniffer Protocol, which is sent to a syslog-ng computer in a different virtual domain in a local area network. The Trigger, Acquire, Analysis, Report, Action method is used in network forensic investigations by utilising Wireshark and network miners to analyze network traffic during attacks. The results of this network forensics obtain evidence that there have been eight attacks with detailed information on when there was an attack on the media access control address and internet protocol address, both from the attacker and the victim. However, attacks carried out with the KickThemOut tool can provide further information about the attacker’s details through a number of settings, in particular using the Gratuitous ARP and ICMP protocols.

Co-Authors - Bambang Sugiantoro, Bambang Sugiantoro - MTI UII Yogyakarta, Zaenudin - UIN Sunan Kalijaga Yogyakarta, Bambang Sugiantoro Abdul Gani Fadhlulrahman Abdul Muis Abdul Rohman Supriyono Abdul Rohman Supriyono Achmad Syauqi Adhitya Wishnu Wardhana Adi Fajaryanto Adristi, Fikri Irfan Agung Firmansyah, Rico Agus Wijayanto Ahmad Luthfi Ahmad Luthfi Ahmad Luthfi Ahmad Luthfie Ahmad Muhariya Ahmad Ridha Kelrey Ahmad Rois Syujak Ahmad Subki - STMIK Mataram Ahmad, Muhammad Sabri Akhmad Muzakka Al Jum'ah, Muhammad Na'im Aloysius Wisnubroto Amadeus Pondera Purnacandra Andrian Sah Ardy Wicaksono Arif Surya Putra Arrochman, Ibnu Fajar Arya Danuarta Ramadhan Astria Adhi Wijaya azis catur laksono Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro Bambang Sugiantoro - Bambang Sugiantoro CITRA ARFANUDIN Danar Cahyo Prakoso Dedy Frianto Dhomas Hatta Fudholi Dimas Pamilih Epin Andrian Dinda Shafira Gita Islami Dirgahayu, Raden Teduh Dirman Dirman Dita Rahayu Berliana Dodi Prakoso Wibowo Dwi Kurnia Wibowo Efendi, Muhamad Masjun Erika Ramadhani Erika Ramadhani Ermadi Satriya Wijaya Fajaryanto, Adi Fauzan Natsir Fetyata Yudha Fietyata Yudha Firdaus, Jasmine Erina Fitriyanti S Fitriyanti S Fudholi, Dhomas Hatta Giffary, Farhan Wildan Gilang Ramadhan Helmi Rachman Ibnu Fajar Arrochman Idham Halik Ilman Pradhana Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Isriade Putra Ivany Hikmatunnisa' Iwan Aprizal Kharisma Mahesa Koes Wiyatmoko Kun Saidi Kusuma, Permadi Lilik Widyawati Madi, Permadi Kusuma Mahmud, Rifqi Mardlatillah, Hanifah Merisa Kurniasari Fadilla Moch. Bagoes Pakarti, Moch. Bagoes Moh Fadly Panende Muh. Ditra Pamungkas Muhamad Maulana Muhammad Hafiz Muhammad Khairul Faridi Muhammad Naim Al Jumah Muhammad Naufal Bahreisy Muhammad Nur Adhar Muhammad Zulfadhilah Muin, Yasir Muzammilatul Wachidah Nafila, Feryan Lutfie NANNY, NANNY Nora Lizarti Nukman Nukman Nurhayati Jiatmiko Nurmi Hidayasari Nuryasin, Ilyas Pahrul Irfan Pomalingo, Suwito Prakoso, Danar Cahyo R, Zulihsan Rachman, Helmi Raharjo, Toto Rahmat Inggi Ramadhan, Arya Danuarta Ramadhani, Erika Ramansyah Ramansyah Ridho Rahmadi Riko Iman Decamarta Rio Pradana Aji Ririn Anggraini Rosi Rahmadi Syahputra Rosidin Al Caruban Ruuhwan Setiawan, Mukhammad Andri Setyaningsih, Putry Wahyu Sisdarmanto Adinandra, Sisdarmanto Siti Kartika Munawarah Subki, Ahmad Sudinugraha, Tri Sudirman Sudirman Supriyono, Abdul Rohman Syarif Hidayat Teduh Dirgahayu Tino Feri Efendi Tommy Nugraha Manoppo Triawan Adi Cahyanto Verry Noval Kristanto Virjayanti Lazinu Wachidah, Muzammilatul Wafi, Muhammad Syafiq Wisnu Pranoto Wisnu Pranoto Wisnu Sanjaya Zardai Alghifari Zulhair Jidan Dj. Tamu

Title

Found 116 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 116 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 116 Documents
Search