UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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Patient Segmentation Based on Visit Patterns and Diagnoses Using the K-Means Clustering Algorithm on Medical Records from XYZ Clinic in 2024
No full textOutpatient clinics in Indonesia routinely generate extensive health data through patient visits; however, such data remain underutilized for strategic and clinical decision-making. This study aims to segment patients based on visit frequency, diagnosis codes, demographic characteristics, and payment types using three clustering techniques: K-Means, Agglomerative Hierarchical Clustering, and DBSCAN. The objective is to determine the most effective method for patient stratification in a primary healthcare setting. Patient visit data from Klinik Pratama UIN Sunan Kalijaga for the year 2024 were analyzed. K-Means produced the most granular structure with nine clusters, DBSCAN identified seven clusters including a noise group, while Hierarchical Clustering yielded three macro-clusters. Internal validation using Silhouette Score, Davies-Bouldin Index, and Calinski-Harabasz Index revealed Hierarchical Clustering as the optimal model, achieving the highest cluster cohesion and separation with a Silhouette Score of 0.502, Calinski-Harabasz Index of 2134.87, and Davies-Bouldin Index of 0.668. The dendrogram and principal component analysis visualization confirmed the natural separation into three clinically meaningful patient segments. Cluster 0 comprised patients with acute respiratory and digestive conditions exhibiting sporadic visits. Cluster 1 consisted predominantly of male BPJS-insured patients with musculoskeletal and dental complaints and moderate visit frequency. Cluster 2 included female BPJS-insured patients with chronic metabolic and vascular diseases requiring consistent and frequent care. These findings demonstrate the efficacy of hierarchical clustering in producing interpretable patient segments and provide a valuable foundation for targeted healthcare management and resource allocation in outpatient clinics
A Full-Profile Conjoint Analysis to Identify University Students’ Preferences Toward Food Delivery Services: A Case Study of the Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta
No full textThe rapid development of digital technology has transformed consumer behavior, particularly in fulfilling food needs through online food delivery services. University students represent one of the most active user groups due to their high mobility and preference for practical lifestyles. This study aims to analyze students’ preferences toward food delivery service attributes and to identify the most influential factors in determining their choices. The research involved 100 respondents from the Faculty of Science and Technology, Universitas Islam Negeri Sunan Kalijaga Yogyakarta, using the traditional conjoint analysis method with a full-profile design approach. Six attributes were examined: type of service, price, payment method, courier service, food quality, and service quality. The results indicate that price has the highest level of importance (25.401%), followed by type of service (22.230%), service quality (16.231%), courier service (15.926%), payment method (10.960%), and food quality (9.252%). The most preferred combination of attributes includes GrabFood or GoFood services with promotional prices, uniformed couriers, diverse food options, and fast delivery. These findings suggest that promotional pricing strategies and service quality improvements are key factors for online food delivery providers to enhance customer satisfaction and attract student users
Pengembangan Aplikasi Mobile Tata Cara Wudhu untuk Anak Menggunakan Metode Research and Development
No full textWudhu merupakan salah satu ibadah penting dalam Islam yang harus dipelajari sejak usia dini. Namun, metode pembelajaran wudhu yang konvensional seringkali kurang menarik bagi anak-anak. Penelitian ini bertujuan untuk mengembangkan aplikasi mobile sebagai media pembelajaran tata cara wudhu yang interaktif dan menarik bagi anak-anak. Metode yang digunakan dalam penelitian ini adalah Research and Development (R&D), yang mencakup analisis kebutuhan, perancangan aplikasi, implementasi, pengembangan, dan evaluasi. Aplikasi ini menyajikan panduan tata cara wudhu dalam format bacaan elektronik, serta menyediakan narasi suara untuk membantu anak-anak memahami teks bahasa Arab. Aplikasi ini diharapkan dapat menjadi media pembelajaran yang mendukung proses pendidikan agama Islam secara digital. Ke depannya, evaluasi lebih lanjut terhadap aplikasi ini diperlukan untuk mengetahui dampaknya dalam pembelajaran tata cara wudhu bagi anak-anak.Kata kunci: Anak-anak, Aplikasi, Mobile, R&D, Wudh
PENERAPAN SISTEM UJRAH SEBAGAI ALTERNATIF PEMBIAYAAN TANPA RIBA DALAM PEER TO PEER LENDING SYARIAH DI INDONESIA
No full textPenelitian ini membahas penerapan sistem ujrah dalam financial technology berbasis Peer to Peer (P2P) lending syariah sebagai alternatif pembiayaan tanpa riba di Indonesia. Seiring dengan berkembangnya industri financial technology syariah, adanya sistem ujrah yang dilaksanakan berdasarkan akad wakalah bi al-hujrah, digunakan sebagai dasar dalam pengambilan keuntungan oleh pemberi dana serta sebagai imbalan yang wajib dibayar atas jasa yang dilakukan oleh pemberi dana. Kajian ini menggunakan pendekatan deskriptif-analitis untuk memahami bagaimana mekanisme ujrah yang diterapkan dalam Peer to Peer (P2P) lending syariah, dengan data yang diperoleh dari literatur dan regulasi. Namun, terdapat tantangan dalam hal pemahaman masyarakat mengenai Peer to Peer (P2P) lending syariah. Penelitian ini menyoroti tinjauan bagaimana penerapan sistem ujrah dalam menghadapi inovasi teknologi untuk memperkuat penerapan financial technology berbasis Peer to Peer (P2P) lending syariah berdasarkan Peraturan Otoritas Jasa Keuangan Nomor 10/POJK.05/2022 tentang Layanan Pendanaan Bersama Berbasis Teknologi Informasi dan Fatwa Dewan Syariah Nasional-Majelis Ulama Indonesia Nomor 113/DSN-MUI/IX/2017 tentang Akad Wakalah Bi Al-Ujrah, serta mengedukasi masyarakat tentang manfaat pembiayaan syariah tanpa riba. Dengan demikian, sistem ujrah memberikan manfaat yang signifikan bagi pengembangan pembiayaan halal sesuai dengan prinsip syariah sebagai salah satu solusi untuk menghindari transaksi dari riba dan meningkatkan inklusi keuangan syariah di Indonesia
Implementation and Performance Analysis of PVD Method in Concealing Encrypted Data on Images
No full textThis research aims to secure text data by combining steganography and cryptography. The Pixel Value Differencing (PVD) method allows for higher data insertion capacity with minimal distortion, thereby increasing resistance to steganalysis. However, the PVD steganography method is vulnerable to variation in image areas and to the accuracy of Pixel Difference Histogram (PDH) analysis. In addition, this method is susceptible to statistical tools such as the chi-square and RS, which can be used to analyze the distribution of pixel value differences, allowing data to be detected. To address the limitations of the PVD method, we employed a cryptographic technique called XOR-VLSB, which combines XOR as the primary encryption method, Vigenère Cipher for key generation, and Least Significant Bit (LSB) for key embedding. The results showed that the fully encrypted data could be recovered and had good image quality, as indicated by the metric results, which included a low MSE value, a PSNR above 35 dB, and an SSIM value close to 1. In this study, the process of encrypting text data still uses a simple encryption algorithm, namely XOR. Future research may involve replacing cryptographic algorithms with AES, which offers stronger protection and better resistance to advanced security threats
Prediksi Kualitas Udara Menggunakan Metode CatBoost
No full textAir is essential for life, but industrial activities, forest fires, cigarette smoke, and transportation contribute to air pollution. AirVisual AQI 2024 data ranks Jakarta in 11th place globally, with the highest level of pollution, reaching 127, which is unhealthy for sensitive groups and poses a risk of causing serious illnesses, including skin and respiratory diseases. This research uses the CatBoost method to predict the air quality index using Jakarta SPKU data taken from Kaggle. The data is processed through pre-processing and divided into four models with different comparisons of training and testing data. Each model was tested with the parameters iteration, depth, learning rate, and l2_leaf_reg, using GridSearchCV to find the optimal combination. The results show that the model with 90% training data and 10% testing data provides the best accuracy of 97%, due to the larger proportion of training data. This research demonstrates that the CatBoost method can yield accurate air quality predictions, which is crucial in supporting efforts to mitigate the impact of pollution and enhance public health
Analisis Efektivitas Metode Filtering dan Intersection dalam Analisis Data Permukaan Bangunan dengan QGIS
No full textThis study evaluates the efficiency of two methods for processing geospatial building surface data, namely Filtering and Intersection, using a case study in Blitar Regency. The data for this research was obtained by comparing two sources: OpenStreetMap (OSM), which has a data completeness rate of 60%, and Google Open Building, with a data completeness rate of 90%. From these two sources, the data with the highest completeness, which is from Google Open Building, was selected for further analysis. The data processing was carried out using QGIS software, chosen for its capability to support various geospatial analysis methods. The comparison of the two methods was based on three main criteria: processing time, resource efficiency, and scalability. The results showed that the Filtering method outperforms in all these aspects. Filtering can complete processing in an average of 1.6 seconds, significantly faster than the Intersection method, which requires an average of 7 minutes and 50 seconds. In terms of resource efficiency, Filtering is also more economical, with an average CPU usage of 18.85% and memory usage of 121.4 MB, compared to the Intersection method’s 34.05% CPU usage and 236.4 MB of memory. Additionally, the Filtering method demonstrated better scalability, capable of handling larger datasets with fewer resources and less time. Therefore, the Filtering method is recommended for geospatial data processing that prioritizes speed, efficiency, and the ability to handle large and complex datasets
Class Weighting Approach for Handling Imbalanced Data on Forest Fire Classification Using EfficientNet-B1
No full textWildfires pose a threat to ecosystems and human safety, necessitating the development of effective monitoring techniques. Detecting forest fires based on images of forest conditions could be a breakthrough. However, the model built from imbalanced data yields low accuracy. This research addresses the challenge of class imbalance in multiclass classification for forest fire detection using the EfficientNet-B1 model. This research examines the implementation of class weighting to improve model performance, with a particular focus on minority classes, specifically Fire and Smoke. A dataset of 7,331 training images was categorized into four classes. The results showed that employing the class weighting method achieved an accuracy of 90%. The training duration of 14 minutes and 45 seconds outperforms the data augmentation method in terms of time efficiency. This study contributes to the development of more effective methods for forest fire monitoring and provides insights for future research in machine learning applications in environmental contexts
Penerapan Metode NIST Dalam Analisis Forensik Digital Pasca Serangan Siber ( Studi Kasus : Pt.Analis Digital Forensik): Implementation Of The Nist Method In Digital Forensic Analysis After A Cyber Attack (Case Study: Pt. Analis Digital Forensik )
No full textSerangan siber semakin meningkat dan menargetkan berbagai sektor industri, termasuk PT. Satseet International yang mengalami serangan pada sistem Human Resource Management System (HRMS) dan web server antara 5 - 19 November 2024. Studi kasus ini dilakukan dalam rangka program Magang dan Studi Independen Bersertifikat (MSIB) pada PT.Analis Forensik Digital.Metodologi yang digunakan adalah metode National Institute of Standards and Technology (NIST) guna mengidentifikasi, mengumpulkan, menganalisis, dan melaporkan bukti digital secara sistematis.Hasil analisis menunjukkan bahwa serangan dilakukan oleh kelompok BlackPython Team dengan teknik Directory Traversal, Remote Code Execution (RCE), dan Ransomware. Dampak serangan ini meliputi enkripsi data penting perusahaan, kebocoran data sensitif karyawan, gangguan operasional HRMS, serta potensi kerugian reputasi dan konsekuensi hukum. Melalui metode NIST, investigasi berhasil mengungkap pola serangan, mengidentifikasi titik masuk pelaku, serta memberikan rekomendasi mitigasi keamanan. Beberapa langkah yang disarankan meliputi penerapan firewall yang lebih ketat, pelatihan keamanan bagi karyawan, strategi backup dan recovery yang kuat, serta penguatan kebijakan keamanan data.Penelitian ini dapat membantu perusahaan dalam meningkatkan keamanannya.
Kata kunci: Forensik Digital,Serangan Siber,NIST,RCE,Ransomware
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Abstract
Cyberattacks are increasing and targeting various industrial sectors, including PT. Satseet International, which experienced an attack on its Human Resource Management System (HRMS) and web server between November 5 - 19, 2024.x This case study was conducted as part of the Certified Independent Study and Internship Program (MSIB) at PT. Analis Forensik Digital.The methodology used follows the National Institute of Standards and Technology (NIST) framework to systematically identify, collect, analyze, and report digital evidence. The analysis results indicate that the attack was carried out by the BlackPython Team using Directory Traversal, Remote Code Execution (RCE), and Ransomware techniques.The impact of this attack includes the encryption of critical company data, the leakage of sensitive employee information, disruptions to HRMS operations, and potential reputational damage and legal consequences. Using the NIST method, the investigation successfully uncovered the attack patterns, identified the attacker\u27s entry points, and provided security mitigation recommendations.Some suggested measures include implementing stricter firewall policies, conducting security training for employees, establishing strong backup and recovery strategies, and strengthening data security policies. This research can help PT. Satseet International and other companies enhance their cybersecurity.
Keywords: Digital Forensics, Cyberattack, NIST, RCE, Ransomwar
Perbandingan Keamanan dan Performa Protokol VMess, VLESS, Trojan, dan WireGuard pada Passwall Berbasis OpenWRT
No full textPenelitian ini menganalisis dan membandingkan tingkat keamanan serta kinerja empat protokol tunneling modern: Vmess , Vless , Trojan , dan WireGuard . Implementasi dilakukan menggunakan aplikasi Passwall versi 4.77-6 pada firmware kustom ReyRe WRT berbasis OpenWRT 23.05.4, yang berjalan pada router STB OpenWrt B860H . Penelitian ini menggunakan pendekatan kuantitatif dengan metode eksperimen komparatif untuk memancarkan parameter seperti throughput , latensi , jitter , dan penggunaan CPU . Analisis keamanan dilakukan menggunakan Wireshark untuk mendeteksi enkripsi dan potensi kebocoran data. Hasilnya menunjukkan tidak ada protokol yang unggul di semua aspek. Vless mencatat throughput tertinggi (23.2 Mbit/s), cocok untuk streaming dan transfer data besar. Trojan menunjukkan latensi (110 ms) dan jitter (8 ms) terendah, ideal untuk aplikasi real-time seperti game online dan konferensi video , serta konsumsi CPU paling efisien (1.1%). WireGuard memiliki throughput yang tinggi, namun dengan jitter tidak stabil (hingga 239 ms). Dari sisi keamanan, semua protokol berhasil mengenkripsi payload , tetapi terjadi kebocoran DNS ke router lokal pada konfigurasi default . Oleh karena itu, pemilihan protokol sebaiknya disesuaikan dengan kebutuhan pengguna: Vless untuk kecepatan, Trojan untuk stabilitas, dan Vmess sebagai solusi seimbang.
Kata kunci: tunneling, openWRT, passwall, keamanan, performa, DNS leak
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Comparison Of Security And Performance Of Vmess, Vless, Trojan, And Wireguard Protocols On Opwrt-Based Passwall
This study compares the security and performance of four modern tunneling protocols Vmess, Vless, Trojan, and WireGuard implemented via Passwall version 4.77-6 on ReyRe WRT custom firmware based on OpenWRT 23.05.4, running on a ZTE B860H STB router. A quantitative approach using a comparative experimental method was applied to evaluate throughput, latency, jitter, and CPU usage. Security analysis was conducted using Wireshark to examine encryption effectiveness and detect DNS leaks. The results show that WireGuard achieved the highest throughput (45.2 Mbit/s) and the lowest CPU usage (1.2%), making it ideal for bandwidth-intensive activities. Trojan recorded the lowest latency (7.1 ms) and stable jitter (0.35 ms), making it suitable for real-time applications like VoIP and online gaming. Vmess and Vless performed moderately, with Vmess standing out as a balanced, versatile choice. From a security perspective, all protocols successfully encrypted payloads; however, DNS leaks to the local router were consistently detected under default configurations, posing a significant privacy concern. Statistical analysis confirmed that performance differences between protocols were significant. This study provides data-driven insights for selecting the most appropriate tunneling protocol based on specific user needs and highlights the importance of manual configuration to prevent information leakage.
Keywords: tunneling, openWRT, passwall, security, performance, DNS lea