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Journal : Jurnal Ilmiah Sinus

Manajemen Pengelolaan Bukti Digital Untuk Meningkatkan Aksesibilitas Pada Masa Pandemi Covid-19 Moch Bagoes Pakarti; Dhomas Hatta Fudholi; Yudi Prayudi
Jurnal Ilmiah SINUS Vol 19, No 1 (2021): Vol. 19 No. 1, Januari 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i1.502

Abstract

Covid-19 has a major impact on human life, including the process of managing digital evidence. Management of digital evidence requires special handling that can store and maintain the integrity of digital evidence. The current problem is there is no concept of storing digital evidence that can be accessed online in wider accessibility. Online digital evidence management is proposed as a solution to solve this problem. This concept is in the form of an online digital evidence management system that can be accessed anywhere and anytime using MD5 and SHA1 hash functions in order to maintain the properties of digital evidence so that it can be legally accepted. The problems with digital evidence management require a Management System for Digital Evidence that is suitable for application in Digital Forensics Laboratory. This research had successfully implemented the concept of online chain of custody. It is expected, with the concept of Online Digital Evidence Management, this digital evidence control and all activities related to it can be maintained and well documented. Moreover, it can reach a wider area accessed anywhere and any time and reduce the spread of Covid-19.
Pemodelan Topik pada Cuitan tentang Penyakit Tropis di Indonesia dengan Metode Latent Dirichlet Allocation Dziky ridhwanulah; Dhomas Hatta Fudholi
Jurnal Ilmiah SINUS Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i1.589

Abstract

Indonesia has a wide area and society. Therefore, a lot of information appear through social media, especially Twitter. This study aims to find out about conversation topics discussed by Indonesian people related to tropical diseases especially leprosy, malaria, and dengue fever. To find out the discussion topics, it can use the modeling topics analysis. One of the methods in topic modeling is Latent Dirichlet Allocation (LDA). Tweet data on tropical diseases in Indonesia was analyzed through this method. The study results showed that LDA was succeed in modeling the trend of Indonesian people's conversation topics related to tropical diseases. It obtained as many as 5 topics with a coherence value of 0.576453. Based on the results of the topic modeling, it can be concluded that the topics are such as the used funds to eradicate malaria and dengue fever, covid-19, blindness and leprosy, and its treatments and preventions.
KARAKTERISTIK METADATA PADA SHARING FILE DI MEDIA SOSIAL UNTUK MENDUKUNG ANALISIS BUKTI DIGITAL Dimas Pamilih Epin Andrian; Dhomas Hatta Fudholi; Yudi Prayudi
Jurnal Ilmiah SINUS Vol 19, No 1 (2021): Vol. 19 No. 1, Januari 2021
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v19i1.494

Abstract

Metadata is information in a file which its contents are an explanation of the file. Metadata contains information about the contents of data for file management purposes. In various cases involving digital evidence, investigators can uncover a case through the metadata file. Problems that arise when file metadata has changed or deleted information, for example, the moment that a file is shared via social media. Basically, all of the shared files through social media will experience changes in metadata information. This study conducted detailed analysis of changes in metadata information and hex dump values to determine the changing characteristics of metadata files shared in social media. This research method applied a comparison table to see the details of changes in metadata values from all files and social media as research objects. The results of this study are expected to have contribution for forensic analysts to identify the shared metadata characteristics of files in social media. As a result, later, the source of shared files in social media will be known. Moreover, it is expected from these findings that forensic analysts can explore the social media used by the cybercrime perpetrators.
Co-Authors Abdullah Aziz Sembada Abdullah Aziz Sembada Abyan Fadilla Noor Aditya Perwira Joan Dwitama Affan Taufiqur Afrianto, Nurdi Ahmad Fathan Hidayatullah, Ahmad Fathan Ahmad Luthfi Ahmad Rafie Pratama Altesa Yunistira Andi Wafda Andri Heru Saputra Annisa Zahra Ari Farhan Nurihsan Ari Sujarwo Arief Rahman Arrie Kurniawardhani Arrie Kurniawardhani Chandra Kusuma Dewa Dendy Surya Darmawan Deny Rahmalianto Dimas Adi Wibowo Dimas Danu Budi Pratikto Dimas Pamilih Epin Andrian Dimas Panji Eka Jalaputra Dirgahayu, Raden Teduh Dziky ridhwanulah Eko Prasetio Widhi Eko Setiawan Erin Eka Citra Fahmi Adi Nugraha Ferdian Nursulistio Fery Luvita Sari Gilang Persada Bhagawadita Gunanto Gunanto Harry Akbar Al Hakim Ibnu Fajar Arrochman Insanur Hanifuddin Iqbal Syauqi Mubarak Izzan Yattaqi Nugraha Izzati Muhimmah Jaka Nugraha LAILA KUSUMA WARDANI Lizda Iswari M. Ulil Albab Surya Negara Malik Abdul Aziz Mawar Hardiyanti Meilita . Moch Bagoes Pakarti Moch Yusuf Asyhari Muhammad Abyanda Tamaza Muhammad Habib Izdhihar Muhammad Rizhan Ridha Muhammad Sulthon Alif Novian Mahardika Putra Purwoko, Agus Raden Teduh Dirgahayu Rahadian Kurniawan Rakhmat Syarifudin Rendy Ressa Sutrisno Ridho Iman Tiyar Risca Naquitasia Royan Abida N. Nayoan Sabar Aritonang Rajagukguk Safira Yuniar Putri Buana Salma Aufa Azaliarahma Salsabila Zahirah Pranida Septia Rani Septia Rani Sigit Nugroho Siti Mutmainah Siwi Cahyaningtyas Sri Mulyati Teduh Dirgahayu Tri Handayani Umar Abdul Aziz Al-Faruq Wahyu Fajrin Mustafa Wahyuzi, Zikri windi astriningsih Yasmin Aulia Ramadhini Yoga Sahria Yudi prayudi