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Utilization of Blockchain Technology for Digital Assets Case Study Makes a Comparison Algorithm for Bitcoin and Etherium Maesaroh, Siti; Mubarak, Roy; Yusuf, Mohamad; Daffa, Raihan Nur
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.27189

Abstract

Rise of digital assets, such as cryptocurrencies, has heralded a new era in financial technology, where blockchain technology plays a fundamental role. This study conducts a comparative analysis of the blockchain algorithms underlying two of the most prominent digital assets, Bitcoin and Ethereum, to evaluate their efficacy and applicability in various use cases. Through a detailed examination of the consensus mechanisms, security features, and transaction handling capacities of both blockchains, this paper aims to provide insights into the distinct functionalities and potential scalability of each system. 
Installing the Haiku Operating System on Virtual Box and Implementing File Management Yusuf, Mohamad; Al Fatah, M Reza; Fami, Asrul; Pratama, Vemas Adi; Z, M Fauzan; Syadam, Muhammad
Journal Collabits Vol 1, No 2 (2024)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v1i2.26054

Abstract

This journal aims to explore the installation process of the Haiku operating system, utilizing VirtualBox and implementing effective file management techniques. Haiku, as an open-source operating system, showcases an innovative user interface and high performance. The study assesses the practicality of Haiku in virtualization through the use of the VirtualBox application. The journal presents step-by-step instructions on installing the Haiku operating system and deploying it within the VirtualBox application. Additionally, it delves into various aspects of file management in the Haiku system, including creation, deletion, and data viewing within files
RANCANG BANGUN APLIKASI MOBILE ANALISIS KESEHATAN KUKU MENGGUNAKAN AI GENERATIF DENGAN ALUR KERJA OTOMATIS Yusuf, Mohamad; Prayuda, Sendy; Indra Lesmana, Bagas; Rayhan Maulana, Jericho; Aditiya, Eka; Alam, Syamsir
Jurnal Sistem Informasi, Teknologi Informatika dan Komputer Vol 15 No 3 (2025): Volume 15 No 3, Mei Tahun 2025
Publisher : Universitas Muhammadiyah Jakarta

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

Abstract

Heatlh conditions can often be detected though external indicators such as fingernails, yet access to rapid expert analysis is frequently a barrier. This research aims to design and build a mobile health application capable of providing automated preliminary analysis of nail conditions using AI techonology. The system integrates a frontend application built with flutter with a backend architecture that utilizes Google Apps Script, Google Sheets as a trigger, and Google Drive for storage. The core functionality relies on an automated workflow built on the n8n platform, which processes user-uploaded nail images through the generative AI model, Google Gemini 1.5 Flash, to produce a visual analysis. The result of this research is a functional and efficient system where users can receive the analysis in the form of an Al-annotated nail image directly on their mobile device. The resulting application was then validated through a series of functional tests to ensure each stage of the automated workflow performed as expected. The testing showed the system successfully processed user input to generate analysis output accurately, thus deeming the application viable for use.
Analysis of the Influence of Learning Strategies on the Academic Achievement of Gen-Z Students with Data Visualization Using Matplotlib in Python Salsabila, Yovi Naila; Lutfansa, Nabila Aulia; Fadiyah, Fitri Nur; Qurotaani, Nazwa Nurul; Safira, Dessi Adelia; Yusuf, Mohamad
Journal Collabits Vol 2, No 1 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v2i1.28450

Abstract

This research examines the influence of learning strategies on the Grade Point Average (GPA) of Generation Z (Gen- Z) students. The background of this research is to understand how the learning strategies used by Gen-Z students affect their GPA. The research aims to analyze the influence of various learning strategies, identify the most effective ones, and demonstrate the use of the Matplotlib library in Python for data visualization. This research is quantitative in nature using statistical methods to evaluate the results. Data was collected through a questionnaire distributed to students, including the frequency of using learning strategies such as reading books, watching YouTube tutorials, doing practice questions, taking private lessons/online tutoring, and participation in training/seminars/workshops. Data analysis was carried out using Python and the Matplotlib library to visualize the data and provide a clear picture of the effectiveness of the learning strategy implemented. The research results show that active and technology- integrated learning strategies have a significant influence on increasing the academic achievement of Gen-Z students. Specifically, strategies such as watching YouTube tutorials and doing practice questions had a positive correlation with improving students' GPAs. These findings indicate the importance of adapting learning methods that suit the characteristics and learning preferences of Gen-Z students.
Optimizing DBSCAN Parameters for Depth-Based Earthquake Clustering Using Grid Search Rushendra, Rushendra; Wijaya, Ody Octora; Yusuf, Mohamad; Setiyaji, Andri; Prabowo, Djoko
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 9 No 4 (2025): August 2025
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v9i4.6521

Abstract

This study addresses the challenge of accurately clustering earthquake events based on depth to better understand seismic activity patterns in Sulawesi from 2019 to 2023. Traditional clustering algorithms often fail to capture the complex spatial and depth-based structures of earthquake data. To overcome this, we employed the DBSCAN algorithm, which is well-suited for identifying irregularly shaped clusters and handling noise in spatial datasets. A key focus of this research is the systematic optimization of DBSCAN’s parameters—epsilon (ε) and minimum samples (min_samples)—using a grid search approach. Epsilon values varied from 0.1 to 0.5, and min_samples ranged from 6 to 60. The optimal parameters, determined using the Calinski-Harabasz (CH) index, were ε = 0.4 and min_samples = 54. Compared with previous heuristic settings, the optimized configuration produced better separated and more interpretable clusters. Using the optimized parameters, nine distinct clusters were identified, capturing meaningful patterns in both depth and magnitude. The results revealed that shallow earthquakes (0–20 km) tend to exhibit greater magnitude variation, with some clusters averaging magnitudes up to 3.7. This suggests a higher seismic hazard potential associated with brittle crustal activity. The findings contribute to seismic hazard analysis by providing a more robust understanding of three-dimensional earthquake distribution, aiding regional risk assessment and disaster preparedness efforts. These insights can support agencies such as BMKG and BPBD in hazard mapping, sensor deployment, and contingency planning for high-risk zones.
Peningkatan Kreativitas Anak dengan Implementasi Augmented Reality Pembelajaran Hewan Berbasis Android Kusmawan, Dicky; Aryani, Diah; Yusuf, Mohamad
FORMAT Vol 14, No 2 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/format.2025.v14.i2.007

Abstract

This study aims to address challenges in early childhood education, which are often caused by regulations, limited educator readiness, and inadequate interactive learning media. Augmented Reality (AR) technology offers a solution by integrating the virtual and real worlds, enabling children to experience 3D objects immersively using smartphones. The research was conducted at SD Bedahan 01 with third-grade students learning Natural Science (IPA) topics about animals, including their characteristics, classifications, habitats, and benefits. Initial observations showed the average student score was 78, meeting the Minimum Competency Criteria (KKM) but requiring improvement to optimize learning outcomes. To address this, an AR-based learning media application for Android was developed using the Multimedia Development Life Cycle (MDLC) method, integrating 3D visuals, audio, and interactive features to create an engaging and immersive learning experience. The results demonstrated that the use of AR technology increased students’ interest and understanding of the material, as well as their ability to recall and apply concepts. This study highlights the potential of AR as an effective educational tool and contributes to the development of innovative and interactive learning media for elementary education, particularly in subjects requiring visualization. Future research may explore expanding AR features to include gamification and advanced interactivity for broader educational applications.
Evaluation of the Effectiveness of Hybrid Learning Based on Linear Algebraic Hybrid Model in the Online-Offline Lecture System in the Digital Era Ritonga, Andre Meyro; Sulistio, Nicholas; Anggriawan, Guruh Pandhu; Yusuf, Mohamad
Journal Collabits Vol 2, No 2 (2025)
Publisher : Journal Collabits

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/collabits.v2i2.32548

Abstract

Optimal class division is a crucial aspect of academic planning to ensure the effectiveness of the learning process. The main challenges in class division lie in the limited capacity of space, balanced distribution of students, and the fulfillment of varied academic needs. This study proposes a Linear Programming-based approach to optimize class division by considering various constraints, such as the maximum capacity of the room, the number of students, and the distribution of subjects according to curriculum needs. The developed applications are designed to produce optimal solutions that minimize student distribution gaps and ensure efficient classroom utilization. A case study is applied to an educational institution to evaluate the performance of the application in real situations. The results of the experiment show that this approach is able to improve the efficiency of classroom allocation, reduce imbalances in the distribution of students, and optimize the use of educational facilities. Thus, this research contributes to more effective and data-based academic management in decision-making related to class division.
PENEGAKAN HUKUM BAGI PELAKU TINDAK PIDANA PENCURIAN DATA NASABAH PERBANKAN MENURUT UNDANG – UNDANG INFORMASI DAN TRANSAKSI ELEKTRONIK YUSUF, MOHAMAD
NATIONAL JOURNAL of LAW Vol. 6 No. 1 (2022): Volume 6, Nomor 1, Maret 2022
Publisher : Universitas Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47313/njl.v6i1.1682

Abstract

This research is focused on one of the criminal acts of cyber crime in thebanking sector, namely in the form of criminal acts of theft of banking customerdata. The act of stealing debit or credit card information by accessing automatedteller machines and illegally copying the information contained on the magneticstripe of the customer's (victim) debit or credit card to gain control over thecustomer's (victim) account.The purpose of this research is to analyze law enforcement for criminal actsof theft of banking customer data according to the law on information andelectronic transactions. And to analyze the punishment of the perpetrators of thecrime of theft of banking customer data according to the law on information andelectronic transactions. The research uses a normative juridical approach thatemphasizes library research. In this research, the legislation approach, conceptual approach, and case approach are used. Sources of legal materials used are primary, secondary and tertiary legal materials. The analysis of legal materials used is qualitative.Based on the results of the study, it shows that law enforcement used as thelegal basis for cybercrime cases is Law Number 11 of 2008 concerning Information and Electronic Transactions (ITE). With the existence of the ITE Law, it is hoped that it can protect the information technology user community in Indonesia, this is important considering the number of internet technology users is increasing from year to year. The increasing use of the internet on the one hand provides a lot of convenience for humans in carrying out their activities, on the other hand it makes it easier for certain parties to commit a criminal act, this technological advance also affects the lifestyle and mindset of humans. information. The punishment carried out by law enforcement against the theft of customer data is based on existing laws and regulations such as Law no. 21 of 2011 Article 29 in the form of providing facilities for resolving customer complaints that have suffered losses which state that financial services business actors must be responsible for consumer (customer) losses.
Penguatan Narasi Atraksi Wisata dan Kapasitas Pemandu Lokal di Kampung Wisata Sosromenduran, Yogyakarta Yusuf, Mohamad; Raharjana, Destha Titi; Aji, Khusnul Bayu
Bakti Budaya: Jurnal Pengabdian kepada masyarakat Vol 8 No 2 (2025): 2025: Edisi 2
Publisher : Faculty of Cultural Sciences, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/bakti.18212

Abstract

The community development activities conducted by the Center for Tourism Studies at Gadjah Mada University (UGM) in 2024 took place in Sosromenduran Tourism Village, located in Gedongtengen Subdistrict, Yogyakarta. This tourism village, situated in the heart of Yogyakarta near Malioboro, possesses diverse potential and attractions that can be further developed to enhance the overall visitor experience in Yogyakarta. The primary objective of this initiative is to improve the capacity of tourism managers, particularly in strengthening the narrative of tourism attractions, which is implemented through the development of storytelling techniques outlined in a guidebook. The approach employed in this program is known as Participatory Action Research (PAR), which involves a collaborative and action-oriented research. In practice, PAR is carried out through several methods, including tourism discussions/dialogues (sarasehan), field observations, and in-depth interviews. The outcomes of this community engagement effort include the development of narratives for seven neighborhoods (kampungs) within Sosromenduran Village. Each neighborhood is identified by its unique identity and complementary tourism products. Another significant output is the creation of a guidebook designed to serve as a reference for local guides in Sosromenduran Tourism Village to introduce its attractions to visitors. Additionally, this guidebook is supplemented with thematic maps illustrating the distribution of tourism attractions across the seven neighborhoods in Sosromenduran Tourism Village. === Kegiatan desa binaan yang dilaksanakan Pusat Studi Pariwisata UGM tahun 2024 dilaksanakan di kampung wisata Sosromenduran, Kemantren Gedongtengen, Yogyakarta. Kampung wisata yang terletak di pusat kota Yogyakarta yaitu Malioboro memiliki beragam potensi dan atraksi yang dapat ditingkatkan melengkapi pengalaman wisatawan selama di Yogyakarta. Secara umum, tujuan pendampingan untuk meningkatkan kapasitas pengelola wisata, khususnya dibidang penguatan narasi atraksi wisata yang dikemas dalam pengembangan storytelling yang diwujudkan dalam guidebook. Pendekatan yang dipergunakan adalah melalui Participatory Action Research (PAR) atau yang lebih dikenal dengan kaji tindak. Dalam praktiknya, PAR ini diwujudkan melalui beberapa metode, seperti diskusi/sarasehan pariwisata, pengamatan lapangan (observasi), dan indepth-interview. Hasilnya, pendampingan ini mampu menghasilkan narasi dari tujuh kampung yang melingkupi Kelurahan Sosromenduran. Masing-masing kampung memiliki identitas dan produk wisata yang saling melengkapi. Hasil lainnya berupa guidebook dapat dihasilkan untuk menjadi pegangan bagi pemandu lokal dari kampung wisata Sosromenduran untuk mengenalkan daya tariknya kepada wisatawan. Dan, dilengkapi dengan peta tematik sebaran daya tarik wisata di tujuh kampung yang berada di kamwis Sosromenduran.
Pengembangan Aplikasi untuk Solusi Persamaan Linear Menggunakan Metode Eliminasi Gauss dengan Substitusi Terbalik Yusuf, Mohamad; Yudistira, Agil Dwiki; Lukito, Sebastianus; Rifai, Alhamdi; Pangestu, Ridho
Jurnal Ilmiah FIFO Vol 16, No 1 (2024)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/fifo.2024.v16i1.002

Abstract

Matematika berperan penting dalam berbagai aspek kehidupan, terutama dalam pemahaman dan pemodelan fenomena menggunakan persamaan linear. Metode Eliminasi Gauss dengan Substitusi Terbalik merupakan teknik kunci dalam menyelesaikan sistem persamaan linear, yang memungkinkan transformasi matriks untuk menyederhanakan persamaan menjadi bentuk yang lebih teratur. Penelitian ini berfokus pada pengembangan aplikasi web yang mengimplementasikan metode ini, bertujuan untuk menyajikan solusi persamaan linear dengan cara yang lebih interaktif dan memudahkan pemahaman. Aplikasi dirancang menggunakan TypeScript dan Next.js, menawarkan antarmuka pengguna yang responsif dan memfasilitasi visualisasi langkah demi langkah dari proses penyelesaian. Hasil pengujian menunjukkan efektivitas aplikasi dalam memberikan solusi yang akurat, serta kinerja dan kegunaan yang tinggi. Penelitian ini membuka jalan bagi pendekatan pembelajaran matematika yang lebih interaktif dan meningkatkan pemahaman konsep persamaan linear dan metode penyelesaiannya.