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All Journal DE LEGA LATA: Jurnal Ilmu Hukum JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jutsi: Jurnal Teknologi dan Sistem Informasi Journal of English Teaching and Linguistics Instal : Jurnal Komputer Bulletin of Information Technology (BIT) Jurnal Nasional Teknologi Komputer LEBAH DEVICE : JOURNAL OF INFORMATION SYSTEM, COMPUTER SCIENCE AND INFORMATION TECHNOLOGY Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Indonesian Journal of Education And Computer Science ENCRYPTION: Journal of Information And Technology
Tasril, Virdyra
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Legal Protection Of Cybercrime Crimes From Ransomware Attacks And Evaluation Of The Cyber Security And Resilience Bill 2025 In Indonesia'S Defense Sulubara, Seri Mughni; Tasril, Virdyra; Nurkhalisah, Nurkhalisah
DE LEGA LATA: JURNAL ILMU HUKUM Vol 10, No 2 (2025): July-December
Publisher : Universitas Muhammadiyah Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30596/dll.v10i2.25786

Abstract

The legal safeguarding against ransomware cybercrime is found in multiple regulations. Indonesia possesses various legal frameworks to combat cybercrime, such as the Electronic Information and Transaction Law (UU ITE), the Personal Data Protection Law (UU PDP), and the Criminal Code (KUHP). Ransomware is a type of harmful software. Ransomware locks a user’s data within a computer network, preventing an individual or business from accessing their information. Hackers subsequently extort the victim for a ransom to allow the data owner to regain access to the data. Usually, the payment of the ransom is conducted through cryptocurrency to ensure it remains untraceable. The research methodology, or a means to reach the objectives outlined in the study, employs a qualitative descriptive approach grounded in juridical or normative legal research. This method aims to assess how well the 2025 cyber security and resilience bill can enhance Indonesia's digital defense. The ITE law establishes a legal framework for prosecuting cyber offenders, including ransomware, but it lacks detailed regulations regarding the terminology and methods of ransomware. This creates difficulties in law enforcement, particularly in demonstrating criminal aspects and gathering electronic evidence. Law number 27 of 2022 regarding personal data protection (PDP LAW) establishes a robust legal structure to safeguard personal data from abuse, particularly in relation to ransomware offenses that frequently involve data theft and manipulation. Article 368 of the criminal code concerning conventional extortion can be utilized in ransomware situations, despite not explicitly addressing the digital format. Article 368 of the criminal code addresses the crime of conventional extortion applicable to ransomware incidents, even if it doesn't specifically cover the digital format. The cybersecurity and resilience bill of 2025 aims to enhance Indonesia's cyber defense, emphasizing the protection of cyberspace and the national digital ecosystem. In this regard, the cybersecurity and resilience bill (RUU KKS) 2025 represents a vital measure for the government to bolster national cyber defense. This legislation is intended to outline the responsibilities of various parties in ensuring cybersecurity, set incident reporting requirements, and impose severe penalties for breaches, including prison terms of up to 20 years and fines reaching Rp20 billion.
Desain Prototipe Pengujian SUS Untuk Peningkatan UX, Branding, dan Pengalaman Digital “ArsitekMedanku” Tasril, Virdyra; Vivianti Novita; Rizka Salsabila Riadi; Rovidatul Hikmah T
Jurnal Nasional Teknologi Komputer Vol 5 No 4 (2025): Oktober 2025
Publisher : CV. Hawari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61306/jnastek.v5i4.310

Abstract

Penelitian ini meningkatkan UX, branding, dan pengalaman digital “ArsitekMedanku” dengan pendekatan HCI. Prototipe dievaluasi menggunakan SUS (0–100), heuristic evaluation, cognitive walkthrough, dan uji tugas. Hasil menunjukkan SUS naik dari 56,2 menjadi 78,5 (Δ = +22,3); tingkat keberhasilan tugas meningkat dari 68% menjadi 91%; waktu median per tugas berkurang 42% (95 s → 55 s); dan kesalahan per tugas turun dari 0,83 menjadi 0,31. Persepsi branding (skala 1–5) naik dari 3,2 ke 4,3. Temuan menghasilkan prioritas perbaikan navigasi dan hierarki visual, tolok ukur kuantitatif untuk memantau rilis berikutnya, serta reduksi risiko pengembangan melalui validasi dini. Ambang SUS ≥ 68 terlampaui, menunjukkan kegunaan baik dan dukungan terhadap penguatan identitas merek.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN RUMAH TANGGA MISKIN MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) Safitri, Febi; Tasril, Virdyra; Kurniawan, Heri
JUTSI: Jurnal Teknologi dan Sistem Informasi Vol. 1 No. 2 (2021): June 2021
Publisher : LPPM STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jutsi.v1i2.1191

Abstract

Abstract: The formation of poverty is due to low levels of education, high levels of unemployment, differences of opinion and others. This problem is also found in Indonesia. There are many ways to deal with poverty alleviation by the government and the private sector in providing assistance to poor families. But in reality, there are many aids that have been given for poverty management efforts which are not right on target. The author makes a decision support system application to determine poor families that can help the parties involved in recording and determining it quickly and efficiently, so that the data collected will be accurate. This decision support system application uses the Simple Additive Weighting (SAW) method which is used to solve a simple unstructured problem. So that by applying this method, it will help the decision-making process in determining poor households in Medan City. Keywords: BPS (Central Statistics Agency); Poor Households; SAW; User; Web  Abstrak: Terbentuknya kemiskinan dikarenakan adanya tingkat pendidikan yang rendah, tingkat pengangguran yang tinggi, perbedaan pendapat dan lain-lain. Persoalan ini juga ditemukan dinegara indonesia. Untuk melakukan penanganan kemiskinan tersebut banyak cara yang dilakukan oleh pemerintah maupun pihak swasta dalam memberikan bantuan- bantuan terhadap keluarga miskin. Tetapi pada kenyataan yang dihadapi banyak bantuan- bantuan yang telah diberikan untuk upaya penanganan kemisikinan yang banyak tidak tepat pada sasaran. Penulis membuat sebuah aplikasi sistem pendukung keputusan untuk menentukan keluarga miskin yang dapat membantu pihak yang terkait dalam mendata dan menentukannya secara cepat dan efisien, sehingga hasil pendataan yang didapatkan akan akurat. Aplikasi sistem pendukung keputusan ini menggunakan metode Simple Additive Weighting (SAW) yang digunakan untuk menyelesaikan suatu persoalan yang tidak terstruktur secara sederhana. Sehingga dengan menerapkan metode tersebut, akan membantu proses pengambilan keputusan dalam penentuan rumah tangga miskin di Kota Medan. Kata Kunci: BPS (Badan Pusat Statistik); Rumah Tangga Miskin; SAW; User; Web
PKM DIGITALISASI SISTEM PRESENSI SISWA MELALUI APLIKASI DI MADRASAH ALIYAH SUNGGAL DESA TANJUNG GUSTA KEC SUNGGAL KAB DELI SERDANG SUMATERA UTARA Putra, Purwa Hasan; Julham, Julham; Lubis, Arif Ridho; Tasril, Virdyra; Mughnyanti, Mayang; Selvida, Desilia
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 5, No 2 (2025): Desember 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i2.5385

Abstract

Abstract: The Community Service Activity of Digitalizing Student Attendance System through Application was carried out at Sunggal Islamic High School, Tanjung Gusta Village, Sunggal District, Deli Serdang Regency, North Sumatra as an effort to improve the efficiency and accuracy of student attendance recording which was previously still done manually. The web-based digital attendance system developed by the PKM team from Medan State Polytechnic allows teachers and administrative staff to record student attendance quickly, securely, and can be accessed in real-time. The recording process which previously took 7 minutes per class can be cut to 2 minutes per class. The implementation method of the activity includes observing school needs, designing and developing the application, training for teachers and staff, and mentoring during implementation. The results of the activity show that this system not only improves work efficiency but also helps improve the digital literacy of teachers and school staff. Keyword: Digitalization, Attendance, Students, MAS Aliyah Sunggal Abstrak: Kegiatan Pengabdian Kepada Masyarakat Digitalisasi Sistem Absensi Siswa Melalui Aplikasi dilaksanakan di SMA Islam Sunggal, Desa Tanjung Gusta, Kecamatan Sunggal, Kabupaten Deli Serdang, Sumatera Utara sebagai upaya untuk meningkatkan efisiensi dan akurasi pencatatan kehadiran siswa yang sebelumnya masih dilakukan secara manual. Sistem absensi digital berbasis web yang dikembangkan oleh tim PKM dari Politeknik Negeri Medan ini memungkinkan guru dan tenaga administrasi untuk mencatat kehadiran siswa secara cepat, aman, dan dapat diakses secara real-time. Proses pencatatan yang sebelumnya membutuhkan waktu 7 menit per kelas dapat dipangkas menjadi 2 menit per kelas. Metode pelaksanaan kegiatan meliputi observasi kebutuhan sekolah, perancangan dan pengembangan aplikasi, pelatihan bagi guru dan tenaga kependidikan, serta pendampingan selama pelaksanaan. Hasil kegiatan menunjukkan bahwa sistem ini tidak hanya meningkatkan efisiensi kerja tetapi juga membantu meningkatkan literasi digital guru dan tenaga kependidikan sekolah. Kata kunci: Digitalisasi, Absensi, Siswa, MAS Aliyah Sunggal 
Penerapan Algoritma K-Means dan Apriori dalam Manajemen Stok UMKM Toko Sembako Berbasis Analisis BCG Matrix Tasril, Virdyra; Olivian, Daffa; Hasmajaya Simarmata, Randy
Bulletin of Information Technology (BIT) Vol 6 No 4 (2025): Desember 2025
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v6i4.2375

Abstract

This study aims to analyze purchasing patterns at Toko Sembako HAS in Medan City, Medan Polonia District, using a Hybrid Data Mining approach that combines K-Means and Apriori algorithms. The dataset consists of 75,294 items sold over a 7-month period. The research workflow began with problem identification, literature review, data collection, and pre-processing, followed by algorithm implementation to produce product clustering and association patterns. Data normalization was performed using the Min-Max method to align the scales of Quantity and Profit, ensuring accurate K-Means clustering. The K-Means clustering combined with BCG Matrix categorized products into Stars, Cash Cows, Question Marks, and Dogs. Products such as Indomie and Mie Sedap were classified as Stars with high sales volume and medium-high profitability, while Minyak Curah and Beras were Cash Cows with moderate sales volume but the highest profitability. The Apriori algorithm revealed hidden purchasing patterns, with the highest Lift Ratio of 1.48 observed for the pair Pampers S and Mie Sedap, indicating a strong correlation within the young family segment. The hybrid approach provides strategic insights: K-Means supports inventory management and product segmentation, while Apriori guides marketing strategies such as product bundling and store layout. However, combinations of Cash-Cows and Question Marks yielded Lift Ratios below 1, indicating insignificant associations. The results demonstrate that this hybrid approach enhances understanding of consumer behavior and supports data-driven decisions to optimize sales and profitability.
Co-Authors Abda Abda Ali, Nurbaiti Efni Siregar & Vivianti Novita - Eka Putri, Ranti Elsa Putri, Shabrina Febby Madonna Yuma Fristi Riandari Hasmajaya Simarmata, Randy Heri Kurniawan, Heri Julham Julham Khairul Khairul, Khairul Losi, Rizky Vita Lubis, Arif Ridho Mayang Sari, Rahayu Mughni Sulubara, Seri Mughnyanti, Mayang Nadia Lestari, Ayu Nurkhalisah, Nurkhalisah Olivian, Daffa Putra, Purwa Hasan Putri, Nadya Andhika Ritonga, Rama Prameswara Rizka Salsabila Riadi Rizka, Ade Rizki, Amaral Aulia Rovidatul Hikmah T Safitri, Febi Sari, Sri Novida Selvida, Desilia Simanungkalit, Aditya Pratama Sri Wahyuni Sri Wahyuni Sulistianingsih, Indri Tika Christy Utomo, Rahmad Budi Wijaya, Rian Farta