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All Journal International Journal of Electrical and Computer Engineering International Journal of Evaluation and Research in Education (IJERE) Farmasains : Jurnal Farmasi dan Ilmu Kesehatan Journal of Food and Pharmaceutical Science Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Transmisi: Jurnal Ilmiah Teknik Elektro JURNAL SISTEM INFORMASI BISNIS Voteteknika (Vocational Teknik Elektronika dan Informatika) JTEV (Jurnal Teknik Elektro dan Vokasional ELKHA : Jurnal Teknik Elektro Jurnal Sistem Komputer TELKOMNIKA (Telecommunication Computing Electronics and Control) Bulletin of Electrical Engineering and Informatics Jurnal Informatika Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Bulletin of Electrical Engineering and Informatics Jurnal Ilmiah Kursor Jurnal Algoritma Jurnal Teknologi Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Pseudocode Jurnal Teknologi Informasi dan Ilmu Komputer Telematika Jurnal Edukasi dan Penelitian Informatika (JEPIN) JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Komunikator ICON-CSE CESS (Journal of Computer Engineering, System and Science) Proceeding SENDI_U Khazanah Informatika: Jurnal Ilmu Komputer dan Informatika Register: Jurnal Ilmiah Teknologi Sistem Informasi ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika JURNAL NASIONAL TEKNIK ELEKTRO KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) Bulletin of Electrical Engineering and Informatics JOIN (Jurnal Online Informatika) Journal of Electrical Technology UMY Format : Jurnal Imiah Teknik Informatika Jurnal Teknologi dan Sistem Komputer Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) International Journal of Artificial Intelligence Research Journal of Information Technology and Computer Science (JOINTECS) JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi JIKO (Jurnal Informatika dan Komputer) Bina Insani ICT Journal JURNAL MEDIA INFORMATIKA BUDIDARMA Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control CogITo Smart Journal IT JOURNAL RESEARCH AND DEVELOPMENT Jurnal Sains dan Informatika Insect (Informatics and Security) : Jurnal Teknik Informatika JRST (Jurnal Riset Sains dan Teknologi) JITK (Jurnal Ilmu Pengetahuan dan Komputer) JOURNAL OF APPLIED INFORMATICS AND COMPUTING JURNAL REKAYASA TEKNOLOGI INFORMASI JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI JURNAL INSTEK (Informatika Sains dan Teknologi) ILKOM Jurnal Ilmiah Compiler KACANEGARA Jurnal Pengabdian pada Masyarakat Jiko (Jurnal Informatika dan komputer) Journal of Science and Engineering MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer JSiI (Jurnal Sistem Informasi) CYBERNETICS Krea-TIF: Jurnal Teknik Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) JURIKOM (Jurnal Riset Komputer) Jurnal Teknik Elektro dan Komputer TRIAC Jurnal Pemberdayaan: Publikasi Hasil Pengabdian Kepada Masyarakat RESISTOR (Elektronika Kendali Telekomunikasi Tenaga Listrik Komputer) Jurnal Ilmiah Mandala Education (JIME) JSI (Jurnal sistem Informasi) Universitas Suryadarma Systemic: Information System and Informatics Journal Jurnal Pengabdian Kepada Masyarakat MEMBANGUN NEGERI Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Journal of Electronics, Electromedical Engineering, and Medical Informatics Buletin Ilmiah Sarjana Teknik Elektro RADIAL: JuRnal PerADaban SaIns RekAyasan dan TeknoLogi Mobile and Forensics Jurnal Informatika dan Rekayasa Perangkat Lunak Journal of Robotics and Control (JRC) Journal of Applied Engineering and Technological Science (JAETS) Jurnal Riset Rekayasa Elektro Jurnal Repositor Respati Jurnal Abdi Insani Indonesian Journal of Electrical Engineering and Computer Science Journal of Computer System and Informatics (JoSYC) International Journal of Advances in Data and Information Systems JITU : Journal Informatic Technology And Communication Journal of Innovation Information Technology and Application (JINITA) Reswara: Jurnal Pengabdian Kepada Masyarakat SKANIKA: Sistem Komputer dan Teknik Informatika Innovation in Research of Informatics (INNOVATICS) Jurnal Teknik Informatika (JUTIF) JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Jurnal Computer Science and Information Technology (CoSciTech) Journal Social Science And Technology For Community Service Jumat Informatika: Jurnal Pengabdian Masyarakat Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) J-SAKTI (Jurnal Sains Komputer dan Informatika) Decode: Jurnal Pendidikan Teknologi Informasi Jurnal Informatika Teknologi dan Sains (Jinteks) Jurnal Algoritma Techno Jurnal Pengabdian Pada Masyarakat Amal Ilmiah: Jurnal Pengabdian Kepada Masyarakat SmartComp Journal of Food and Pharmaceutical Sciences Jurnal Informatika: Jurnal Pengembangan IT Control Systems and Optimization Letters Emitor: Jurnal Teknik Elektro Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Proceeding International Conference Of Innovation Science, Technology, Education, Children And Health Signal and Image Processing Letters Khazanah Informatika : Jurnal Ilmu Komputer dan Informatika JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) RADIAL: Jurnal Peradaban Sains, Rekayasa dan Teknologi Scientific Journal of Engineering Research Dedikasi Nusantara Indonesian Journal on Learning and Advanced Education (IJOLAE)
Anton Yudhana
Universitas Ahmad Dahlan, Yogyakarta
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Comparative Analysis of Naïve Bayes and K-NN in Determining Location of Mobile Population Services Riadi, Imam; Yudhana, Anton; M. Rosyidi Djou
Computer Science and Information Technology Vol 4 No 3 (2023): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/coscitech.v4i3.6543

Abstract

Tantangan geografis dan jarak antar desa menjadi kendala dalam pemerataan pelayanan kependudukan dan pencatatan sipil. Hal ini memerlukan intervensi program jemput bola atau layanan keliling. Permasalahannya adalah tidak semua desa dapat terlayani layanan keliling, sehingga perlu dilakukan pemetaan desa-desa yang memenuhi syarat menjadi lokasi layanan keliling. Penelitian ini menjelaskan teknik pembelajaran mesin, khususnya algoritma K-NN dan Naïve Bayes, untuk mengatasi masalah pemilihan lokasi yang memenuhi syarat. Hasil percobaan menunjukkan kedua metode mempunyai tingkat akurasi yang cukup baik, dengan K-NN mencapai tingkat akurasi tertinggi sebesar 97,14% pada dataset yang dinormalisasi dengan metode Normaliasi Min-Max (NMM). Sebaliknya, Naïve Bayes menunjukkan nilai akurasi yang tinggi pada seluruh dataset. Oleh karena itu, penelitian ini merekomendasikan penggunaan algoritma K-NN dengan nilai K=2 untuk menentukan lokasi yang layak menerima layanan kependudukan bergerak.
Prediction of Indonesian Presidential Election Results using Sentiment Analysis with Nave Bayes Method Firdaus, Asno Azzawagama; Yudhana, Anton; Riadi, Imam; Mahsun, Mahsun
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.7007

Abstract

Social media serves as a solution for politicians as a campaign tool because it can save costs compared to conventional campaigns. The 2024 Indonesian Presidential Election has drawn public attention, especially among social media users. Twitter, as one of the widely used social media platforms in Indonesia, functions as an effective campaign forum. However, the problem that arises is how to automatically collect social media data related to presidential discussions and provide conclusions on the analysis results. Of course, this is not easy if done manually. Sentiment analysis is one approach that can be used for this in order to draw conclusions and analysis related to the available data. Data was collected shortly after the registration of presidential and vice-presidential candidates in November 2023. This study aims to obtain sentiment results from the latest data obtained, get the best model from the Naive Bayes method, to conduct analysis in predicting presidential election results based on sentiment. However, at the time of data collection, candidate numbers had not been assigned by the Election organizers. The obtained data amounted to 11,569 records using the Valence Aware Dictionary for Sentiment Reasoning (VADER) library for labeling. After removing duplicated tweets, the data was reduced to 4,893 records, with each candidate pair having 1,631 data points. The sentiment analysis classification model was determined using the Nave Bayes method with Term Frequency-Inverse Document Frequency (TF-IDF) feature extraction. Based on the data, the highest percentage of positive sentiment was found in Ganjar Pranowo - Mahfud MD data at 69.16%, and the highest negative sentiment was in Prabowo Subianto - Gibran Rakabuming Raka data at 52.12%. Common words in positive sentiment for Ganjar Pranowo - Mahfud MD include "strong," "corruption," "support," "reward," and others. Meanwhile, frequently appearing negative sentiment words for Prabowo Subianto - Gibran Rakabuming Raka include "child," "eldest," "mk," "young," and others. This research achieved an average accuracy of 76.67% using the Naive Bayes method on the entire dataset, indicating its reliability in similar cases.
Medical Image Classification of Brain Tumors using Convolutional Neural Network Algorithm Muis, Alwas; Sunardi, Sunardi; Yudhana, Anton
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 8, No 1 (2024): Januari 2024
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v8i1.6939

Abstract

Brain tumor is a highly dangerous and deadly disease. It can occur due to the abnormal growth of cells or tissues in the head. Treatment for brain tumor is done with surgery and chemotherapy aimed at killing or destroying the cells that affect the growth process of brain tumor. Diagnosis of brain tumor is done using medical scans such as MRI, CT Scan, and PET Scan by analyzing the resulting images. Another method used to detect brain tumors is through biopsy, which is a process of taking cells or tissue from the body for examination in the laboratory. However, this method takes a long time because the cells taken from the patient will be examined in the laboratory. Therefore, a technique is needed to speed up accurate brain tumor diagnosis in order to obtain quick treatment. Machine learning can solve this problem with the classification of images produced by MRI. The classification technique that can be used is the GoogLeNet architecture in CNN. Because GoogLeNet is the algorithm that won the ImageNet Large Scale Visual Recognition Challenge (ILSVC) in 2014 The purpose of this study is to classify brain images using the GoogLeNet architecture. The dataset used in this study consists of 7023 images, consisting of 6320 images for training the model and 703 for testing the model. The results of this study obtained an accuracy percentage of 96%. This result is higher than previous studies that obtained an accuracy value of 94%.
Sistem Pemantau Suhu Cooler Box Berbasis Telemetri Dengan Thermoelectric Cooler Sebagai Bakteriostatik Pada Ikan Yudianto, Renangga; Yudhana, Anton
Jurnal ELTIKOM : Jurnal Teknik Elektro, Teknologi Informasi dan Komputer Vol. 6 No. 2 (2022)
Publisher : P3M Politeknik Negeri Banjarmasin

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31961/eltikom.v6i2.551

Abstract

Indonesia has enormous marine resource potential, which can be explored as a prime mover of national economic development, one of which is fisheries resources. The factor that determines the selling value of fish is the freshness of the fish. This study aims to utilize Thermoelectric Cooler (TEC) in cooler boxes as a bacteriostatic system for fish that is environmentally friendly and monitored using telemetry based DS18B20 ESP8266 temperature sensor. The temperature data includes the temperature of the cooler box, the temperature of the Thermoelectric Cooler (TEC), and the temperature of the room. The parameters used to test the quality of DS18B20 temperature sensor are accuracy, normality test, homogeneity test, and independent samples t-test. The data of DS18B20 temperature sensor system is processed at nodeM-CU then sent and displayed via the thingspeak website and LCD in real time. Organoleptically, the obser-vation results of fish A placed in a cooler box are categorized as fresh, and the observation results of fish B which are placed at room temperature are categorized as not fresh according to (SNI 2729:2013). The sensor test results obtained in this study showed value of the temperature accuracy of cooler box was 97.8%, the temperature accuracy value of Thermoelectric Cooler (TEC) was 98.56%, the room tempera-ture accuracy value was 99.67%, the results of normality test of three temperature sensors are normally distributed, the results of homogeneity test of three temperature sensors are homogeneous, and the results of independent samples t-test are not significantly different, which indicates that three DS18B20 tempera-ture sensors are accurate.
A Comparative Study of Improved Ensemble Learning Algorithms for Patient Severity Condition Classification Edi Ismanto; Abdul Fadlil; Anton Yudhana; Kitagawa, Kodai
Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol 6 No 3 (2024): July
Publisher : Department of Electromedical Engineering, POLTEKKES KEMENKES SURABAYA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/jeeemi.v6i3.452

Abstract

The evolution of Electronic Health Records (EHR) has facilitated comprehensive patient record-keeping, enhancing healthcare delivery and decision-making processes. Despite these advancements, analyzing EHR data using ensemble machine learning methods poses unique challenges. These challenges include data dimensionality, imbalanced class distributions, and the need for effective hyperparameter tuning to optimize model performance. The study conducted a thorough comparative analysis of various ensemble machine learning (EML) models using Electronic Health Record (EHR) datasets. After addressing data imbalance and reducing dimensionality, the accuracy of the EML models showed significant improvement. Notably, the Gradient Boosting Machine (GBM) and CatBoost models exhibited superior performance with an accuracy of 73%, achieved through experiments involving dimensionality reduction and handling of imbalanced data. Furthermore, optimization techniques such as Grid Search and Random Search were employed to enhance the EML models. The results of model optimization revealed that the GBM + Random Search model performed the best, achieving an accuracy of 74%, followed by the XGBoost + Grid Search model with an accuracy of 73%. The GBM model also excelled in distinguishing between positive and negative classes, boasting the highest Area under Curve (AUC) value of 0.78, indicative of its superior classification capabilities compared to other models. This study emphasizes the significance of incorporating cutting-edge EML techniques into clinical workflows and emphasizes the revolutionary potential of GBM in classification modeling for patient severity conditions. Future research should focus on deep learning (DL) applications and the integration of these models.
Analisis File Carving Solid State Drive Menggunakan Metode National Institute of Standards and Technology: Analisis File Carving Solid State Drive Menggunakan Metode National Institute of Standards and Technology Khoirul Anam Dahlan; Anton Yudhana; Herman Yuliansyah
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 23 No 2 (2024): Agustus 2024
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v23i2.9700

Abstract

Recovery pada SSD dianggap sulit karena tingkat keberhasilan yang rendah dalam dunia teknisi, karenanya teknik file carving yang terbaharui menjadi salah satu solusi pengembalian file yang hilang, baik dengan sengaja ataupun tidak sengaja, sehingga masih ada harapan atas file yang telah hilang pada SSD, khususnya pada SSD Sata Geniune 120GB. Metode NIST memungkinkan untuk merangkum pelaporan yang dapat dipertanggungjawabkan dan valid, sehingga dapat digunakan dalam persidangan untuk membuktikan bahwa pelaku benar atau salah.setelah bukti fisik berupa SSD di kumpulkan, maka proses selanjutnya menggunakan laptop lenovo y520 yang dengan sistem operaasi ubuntu dan windows untuk pemeriksaan dan analisa untuk dibuatkan laporan. Dari 88 file yang di recovery, Software Foremost berhasil mengembalikan 46 file dengan tingkat keberhasilan 53% dan Software Autopsy berhasil mengembalikan 81 file dengan tingkat keberhasilan 94%, persentase keberhasilan diindikasikan dengan nilai hash yang sama menggunnakan MD5 dan file dapat dibuka tanpa kendala. Walaupun tidak sampai 100% yang biasa kita temukan dalam penelitian Harddisk atau Flashdisk, akan tetapi masih ada harapan kedepannya jika recovery pada SSD bisa mencapai 100%.
Implementasi Deployment Layanan Website Menggunakan Kubernetes Dengan Ci/Cd Jenkins: Implementasi Deployment Layanan Website Menggunakan Kubernetes Dengan Ci/Cd Jenkins Maulana, Irvan; Umar, Rusydi; Yudhana, Anton
Jurnal SAINTIKOM (Jurnal Sains Manajemen Informatika dan Komputer) Vol 23 No 2 (2024): Agustus 2024
Publisher : PRPM STMIK TRIGUNA DHARMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/jis.v23i2.9992

Abstract

pemetintahan, perdagangan , dan lain-lain. Website adalah kumpulan halaman dalam suatu domain yang memuat tentang berbagai informasi agar dapat dibaca dan dilihat oleh pengguna internet melalui sebuah mesin pencari[13]. Informasi yang dapat dimuat dalam sebuah website umumnya berisi mengenai konten gambar, ilustrasi, video, dan teks untuk berbagai macam kepentingan. Website menjadi salah satu alat penyampai informasi paling popiler sat ini, mulai dari pemerintahan, media, berita, perusahaan maupun personal. Sehingga dibutuhkan website yang dapat terus berkembang dan pemeliharaan yang lebih sederhana. Penelitian ini berfokus pada pembangunan infrastruktur Continous Integration/Continous Delivery/Deployment (CI/CD) dengan manajemen cluster menggunakan kubernetes. Metode deployment aplikasi menggunakan CI/CD lebih efisien untuk perkembangan aplikasi yang berjalan terus menerus. Sedangkan kubernetes sangat membantu perkembangan aplikasi yang berbasis container dan microservices[1]. Selain itu, kubernetes juga memiliki beberapa kelebihan antara lain: auto-scaling dan load balancing. Penelitian ini menghasilkan sebuah produk infrastruktur CI/CD yang membuat proses deployment dan pengembangan aplikasi web dapat berjalan secara cepat, efisien dan efektif.
Analisis Perbandingan Model Fully Connected Neural Networks (FCNN) dan TabNet Untuk Klasifikasi Perawatan Pasien Pada Data Tabular Ismanto, Edi; Abdul Fadlil; Anton Yudhana
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

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

Abstract

Electronic Health Records (EHR) store tabular data that is rich in information and play a critical role in supporting decision-making within the healthcare field, particularly for patient care classification. This study evaluates the performance of two artificial intelligence models, Fully Connected Neural Networks (FCNN) and TabNet, in processing tabular data for patient care classification tasks. The findings reveal that both models demonstrate strong performance, with TabNet showing a slight advantage. TabNet achieves an accuracy of 0.74, marginally surpassing FCNN's 0.73. Furthermore, TabNet excels in precision (0.74 vs. 0.72), recall (0.72 vs. 0.71), and F1-Score (0.73 vs. 0.71), highlighting its greater reliability in minimizing false positives and accurately detecting positive cases with a better balance between precision and recall. With its architecture specifically tailored for tabular data and its capacity for direct interpretability, TabNet offers enhanced efficiency and ease of implementation compared to FCNN, which demands more complex data preprocessing. For future research, it is suggested to employ larger and more diverse datasets, explore data with higher feature complexity, and conduct comprehensive hyperparameter tuning to further improve the performance of both models.
Prototipe Timbangan Digital dan Pengendali Konveyor Otomatis untuk Pembersih Limbah Kotoran Hewan Ternak Kambing Son Ali Akbar; Ruly Erwin AfanDika; Anton Yudhana; Dian Nova Kusuma Hardani
Jurnal Riset Rekayasa Elektro Vol 6, No 2 (2024): JRRE VOL 6 NO 2 DESEMBER 2024
Publisher : PROGRAM STUDI TEKNIK ELEKTRO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30595/jrre.v6i2.24537

Abstract

yang berbau. Untuk mengatasi hal ini, dikembangkan sebuah alat otomatisasi yang dapat membersihkan kotoran basah dan cair secara efisien. Sistem ini mengintegrasikan sensor loadcell untuk mengukur berat kotoran, Arduino Uno sebagai mikrokontroler, dan LCD 16x2 I2C untuk menampilkan hasil pengukuran. Penelitian dilakukan di peternakan Desa Jangkang, Sleman, D.I. Yogyakarta, dengan fokus pada pemisahan kotoran basah dan cair secara otomatis. Kandang yang dirancang memiliki ukuran 1,6 m x 3 m x 2,4. Konveyor yang digerakkan oleh motor DC memindahkan kotoran ke penampungan sementara, sekaligus memisahkan feses dari urine. Sistem beroperasi dengan kecepatan konveyor 160 cm, tegangan rata-rata 11,19 V, dan RPM sebesar 17,94, dengan waktu operasional rata-rata 20 detik. Hasil pengujian menunjukkan error 4,9% dan tingkat akurasi 96,49%. Inovasi ini berkontribusi pada peningkatan efisiensi pengelolaan limbah dan pengurangan bau, mendukung pengembangan sektor peternakan kambing secara berkelanjutan.
File carving Analyze of Foremost and Autopsy on external SSD mSATA using the Association of Chief Police Officer Method Dahlan, Khoirul Anam; Yudhana, Anton; Yuliansyah, Herman
ILKOM Jurnal Ilmiah Vol 16, No 3 (2024)
Publisher : Prodi Teknik Informatika FIK Universitas Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33096/ilkom.v16i3.2360.283-295

Abstract

File carving is a method for recovering files using software such as Foremost and Autopsy. The recovery is conducted for deleted files or formatted devices. Popularity Solid State Drive (SSD) has outperformed Hard Disk Drive (HDD) because SSD is faster, more efficient, and shock resistant. However, recovering SSD devices have a lower probability success rate than HDD because the security system often hampers files recovered on SSD. Based on previous research, the success rate of Security Digital High Capacity (SDHC) only achieved 50% more than SSD, whereas SSD can only return 85.7% of its success. Forensics Digital is a part of Forensics Knowledge for deliver valid digital evidence for law investigation. This research aims to increase the success rate of recovery files using two different software: Foremost and Autopsy. The research uses a 512GB Eaget brand SSD with a New Technology File System (NTFS). The file carving is also conducted using the Association of Chief Police Officers (ACPO) method. APCO has several stages: Planning, Capture, Analysis, and Presentation. The experiment results show that Autopsy software with deep recover mode returned 81 out of 88 files (92%), whereas Foremost software run on Debian to make sure no virus on device that could damage computer especially windows system. First attempt recovery can only return 46 out of 88 files (52%). The findings show that the Autopsy software has a higher successful return rate and can be used for evidence in law enforcement and digital forensics investigations.
Co-Authors Aang Anwarudin Abd. Rasyid Syamsuri Abdel-Nasser Sharkawy Abdillah, Muhamad Aznar Abdul Azis Abdul Djalil Djayali Abdul Fadil Abdul Fadil Abdul Fadlil Abdul Fadlil Abe, Tuska Ade Firli Ansyori Adi Permadi Agung Dwi Nugroho, Agung Dwi Agus Jaka Sri Hartanta Agustin Rafikasari Ahmad Azhar Kadim Ahmad Ikrom Ahmad Ikrom Ahmad Syahril Mohd Nawi Ahmadi, Ahwan Akhwandi, Dasef AKRIMA, ASRA Alameka, Faza Alameka, Faza alders paliling Aldi Bastiatul Fawait Fawait Alfian Ma’arif Alin Khaliduzzaman Aminuyati Andhy Sulistyo Andiko Putro Suryotomo Andri Pranolo Anggara Ibnu Sidharta Annafii, Moch. Nasheh Anom Wahyu Asmorojati Anshori, Ikhwan Anton Satria Prabuwono Anton Satria Prabuwono Anwar Siswanto Anwarudin, Aang Any Guntarti Ardiansyah, Ricy Arief Setyo Nugroho Aris Rakhmadi Asep Ririh Riswaya Ashari, Irvan Asno Azzawagama Firdaus Asra Akrima Astika AyuningTyas, Astika Aulia, Muhammad Immawan Aznar Abdillah, Muhamad Azrul Mahfurdz Bahagiya, Multika Untung Balza Achmad Bella Okta Sari Miranda Belly Apriansyah Bintang, Rauhulloh Noor budi putra Budi Setianto, Arif Bulaka, Bardan Cahya Subrata, Arsyad Choirul Fajri Darso, Muhammad Daryono Daryono Dasef Akhwandi Deni Murdiani Denny Yoga Pratama Dewi Eko Wati Dian Nova Kusuma Hardani Didi Siprian Djou, M Rosyidi Drezewski, Rafal Dwi Susanto Dwi Susanto Dwi Susanto Dzakarasma Tazakka Ma’arij Edi Ismanto Eka Rahmat B Eko Prianto Eko Prianto, Eko Elvina, Ade Fadil, Abdul Fadlil, Abdul Fadlillah Mukti Ayudewi Fahmi, Miftahuddin Fahrizal Djohar Fakhri, La Jupriadi Fathoni, Listya Febri Fatma Nuraisyah, Fatma Faza Alameka Faza Alameka Febryansah, M. Iqbal Fitrah Juliansyah Fitri Anggraini Fitri Anggraini, Fitri Fitriyanto, Rachmad Furizal Furizal Furizal Furizal, Furizal Galih Pramuja Inngam Fanani H, Hermansa Habibah, Nurina Umy Habsah Hasan Hadi Sasongko, Hadi Halil, Nur Ihsan Hanif, Abdullah Hanif, Kharis Hudaiby Hartanta, Agus Jaka Sri Hartono, Susilo Helmiyah, Siti Herman Herman Herman Herman Herman Herman Yuliansyah Herman Yuliansyah, Herman Hermansa Herwindo Rahadian Hidayat, Lalu Amam Hikmatyar Insani Himawan I Azmi Igo Putra Pratama Iif Alfiatul Mukaromah Ikhsan Sugianto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhsan Zuhriyanto Ikhwan Anshori Ikrom, Ahmad Ilham Mufandi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Imam Riadi Intan Puspitasari Irfan, Syahid Al Ivan Triyatno Jafri Din Jaka Dernata Jaka Dernata Jaka Japkowicz, Nathalie Jendri Juliansyah, Fitrah Kalbuadi, Dimas Baskoro Kartika Firdausy Kaspul Anwar Kaswijanti, Wilis Kawarul Hawari Ghazali Kgs Muhammad Rizky Alditra Utama Kgs Muhammad Rizky Alditra Utama Khaliduzzaman, Alin Khalif, Fajar Al Khoir, Syaiful Amrial Khoirul Anam Dahlan Kintung Prayitno, Kintung Kitagawa, Kodai Kurniawan, Gusti Chandra Kusuma , Damar Yoga Lestari, Agung Tri Listya Febri Fathoni Liya Yusrina Sabila Luh Putu Ratna Sundari Lutfatul Kholifah M Rosyidi Djou M. Rosyidi Djou Mahsun Mahsun Mardi Sugama Marlina Mustafa, Marlina Maulana, Irvan Mawadati, Siti Mawarni, Syifa’ah Setya Mega Reski4, Julia Mhd. Basri Miftahuddin Fahmi Miftahus Surur, Miftahus Miko Wardani Mitra Adhimukti Moch. Nasheh Annafii Muchamad Kurniawan Muchlas Muchlas Muchlas Muchlas, Muchlas Mudinillah, Adam Muflih, Ghufron Zaida Muh. Fadli Hasa Muhamad Caesar Febriansyah Putra Muhamad Caesar Febriansyah Putra, Muhamad Caesar Febriansyah Muhamad Fahrul Reza Muhamad Rosidin Muhammad Aris Fajar Ilmawan Muhammad Darso Muhammad Irfan Pure Muhammad Jundullah Muhammad Kunta Biddinika Muhammad Kunta Biddinika Muhammad Miftahul Amri Muhammad Noor Fadillah Muhammad Noor Fadillah Muhammad Nur Faiz Muhammad Nur Faiz Muhammad Rizki Setyawan Muhammad Sabiq Dzakwan Muhammad Sabiq Dzakwan Muhammad, Khairul Muis, Alwas Mukaromah, Iif Alfiatul Murinto Murinto Mushab Al Barra Mushlihudin Mushlihudin Mushlihudin Mushlihudin Mushlihudin, Mushlihudin Mushlihudin, Mushlihudin Musliman, Anwar Siswanto Nathalie Japkowicz Novi Febrianti Novitasari, Putri Rachma Nuraeni, Eneng Nurina Umy Habibah Nurwijayanti Nuryana, Zalik Nuryono Satya Widodo Ockhy Jey Fhiter Wassalam Peryanto, Ari Phisca Aditya Rosyady Prasongko, Riski Yudhi Pratama, Denny Yoga Pratama, Genta Pratama, Gilang Ariya PRATAMA, IGO PUTRA prayudi, Andi Prianto, Eko Prihatmadi, Farhan Adyaqsa Priyatno Priyatno Purnamaningsih, Nur’Aini Puspitasari, Etika Dyah Putra, Aji Surya Kurniawan Putra, Marta Dwi Darma Putra, Satriya Dwi Putra, Seno Aji Putri, Dadva Pramesty Etsria Rachmad Fitriyanto Rachmad Very Ananda Saputra Raden Mohamad Herdian Bhakti Rafal Drezewski Rahmawan, Jihad Raja Bidin Raja Hassan Ramadhani, Muhammad Ramdhani, Rezki Rani Rotul Muhima Rauhulloh Ayatulloh Khomeini Noor Bintang Renangga Yudianto Reski, Julia Mega Resmi Aini Retnosyari Septiyani Reza, Muhamad Fahrul Rezki Ramdhani Ridho Ikhram Rio Subandi Riski Prasongko Yudhi Prasongko Riski Yudhi Prasongko Rivai, Zulki Yanto Rizky Andhika Surya Rosyady, Phisca Aditya Ruly Erwin AfanDika Rumagia, Yusril Rusdi Umar Rusydi Umar Rusydi Umar Rusydi Umar Rusydi Umar S, Sunardi Sabarudin Saputra Saberi Mawi Sabila, Liya Yusrina Safiq Rosad Sahta, Bobo Saifullah, Shoffan Samadri Samadri Saputra, Candra Deska Saputra, I Gede Purwana Edi saputro, tahap Sarjimin Sarjimin Sarjimin, Sarjimin Satriya Dwi Putra Sefindra Purnama Seno Aji Putra Septa, Frandika Septiyani, Retnosyari Septiyawan Rosetya Wardhana Sharipah Salwa Mohamed Shoffan Saifullah Sidharta, Anggara Ibnu Sidiq, Ahmad Fajar Sigit Wijaya Silmina, Esi Putri Siswaya Siswaya Siswaya, Siswaya Siti Hajar Siti Helmiyah Siti Helmiyah Son Ali Akbar sri suharti Sri Suharti Subandi, Rio Sulistyo, Andhy Sunardi Sunardi - Sunardi - Sunardi Sunardi sunardi sunardi Sunardi, Sunardi Susilo Hartono Suwanti Suwanti Suyadi Suyadi Syafiqoh, Ummi Syahid Al Irfan Syahrani Lonang Syed Abdullah Syinta Brata Tarisno Amijoyo Tiara Widyakunthaningrum Tole Sutikno Tri Wahono Tugiman Tugiman Umar, Rusydi Ummi Syafiqoh Utama, Kgs Muhammad Rizky Alditra Utama, Kiagus Muhammad Rizky Aditra W, Yunanri Wahidah Mahanani Rahayu Wahyu Prawoto Wahyu Sapto Aji Wardani, Miko Wicaksono Yuli Sulistyo Wicaksono Yuli Sulistyo Widhianto, Trisno Wijaya, Setiawan Ardi Wilis Kaswijanti Windra Putri, Anggi Rizky Wintolo, Hero Wiwiek Afifah Yudianto, Renangga Yuli Rahmawati Yusril Rumagia Zeehaida Mohamed