UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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Implementasi K-Means Clustering pada Pengelompokan Pasien Penyakit Jantung
No full textHeart disease is a prominent global health concern, necessitating early identification and patient grouping for effective management. This study employs the K-Means clustering algorithm with a medical dataset of 303 patients, encompassing various attributes. These include Age, Gender, Chest Pain Type, Blood Pressure, Serum Cholesterol Level, Fasting Blood Sugar, Resting Electrocardiographic Results, Maximum Heart Rate, Angina, ST Depression, and Slope of the ST Segment. The goal is to categorize patients into four clusters based on chest pain types, a crucial symptom indicating disease severity. The computation concludes after the sixth iteration, revealing Cluster 1 (27 patients), Cluster 2 (135 patients), Cluster 3 (15 patients), and Cluster 4 (126 patients). Collaborative analysis with medical experts highlights that Cluster 1, mainly comprising older males, exhibits high-risk indicators. While this grouping aids in personalized treatment strategy development, further clinical validation involving more experts and datasets is imperative for enhanced reliability
Analisis Bukti Digital Pada Media Penyimpanan Flash Disk Menggunakan Metode National Institute Of Standards And Technology (NIST)
No full textDalam perkembangan teknologi digital yang semakin pesat, analisis bukti digital menjadi semakin penting dalam mendukung penegakan hukum dan mengamankan ranah keamanan siber. Proses analisis bukti digital melibatkan pemeriksaan terhadap berbagai informasi digital yang ditemukan dalam investigasi kejahatan atau kasus hukum. Bukti digital tersebut dapat berupa file, pesan teks, email, rekaman panggilan, atau data lainnya yang terdapat dalam perangkat digital seperti komputer, ponsel, dan tablet. Penelitian ini membahas tentang bagaimana memperoleh, mengambil, melestarikan, dan menyajikan data atau informasi tentang jejak aktivitas kasus cybercrime yang terdapat pada media penyimpanan flash disk yang telah dihapus dan bertujuan untuk mendukung penyelidikan terhadap pelaku kejahatan dengan menerapkan prinsip-prinsip forensik digital. Pada penelitian ini menggunakan metode National Institute of Standards dan Technology (NIST) dan menggunakan FTK Imager sebagai tool forensic dan Autopsy sebagai tools analisis dan juga recovery data serta HashGenerator untuk mengecek hasil hash dari tiap-tiap file. Dari hasil analisis yang telah dilakukan, didapatkan file-file yang telah dihapus oleh pelaku dengan perlakuan yang berbeda-beda pada media penyimpanan flash disk menggunakan tools forensik FTK Imager, Autopsy, dan juga HashGenerator, dimana tool Autopsy berhasil mendapatkan metadata file-file yang dihapus pada tanggal yang sama dengan tanggal pelaporan. Perbedaan dari masing-masing perlakuan penghapusan terdapat terdapat pada perlakuan ketiga yaitu dengan perintah quick format dimana nama file yang terhapus berubah menjadi nama file yang berbeda seperti nama file aslinya. Selain itu size dan nilai hash pada semua file pada tiap-tiap perlakuan tidak menunjukkan adanya perubahan pada nilai hash MD5-nya yang menandakan bahwa file-file tersebut tidak ditemukan adanya perubahan.
Kata kunci: kejahatan siber, bukti digital, NIST, digital forensik, flash disk, forensic tools.
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In the rapid advancement of digital technology, the analysis of digital evidence has become increasingly vital in supporting law enforcement and securing the realm of cybersecurity. The process involves scrutinizing various digital information found in criminal investigations or legal cases. Digital evidence can encompass files, text messages, emails, call recordings, or other data within digital devices such as computers, phones, and tablets. This research delves into the acquisition, retrieval, preservation, and presentation of data or information related to traces of cybercrime activities found on deleted flash disk storage media. The aim is to support investigations into criminal perpetrators by applying principles of digital forensics. The study utilized the National Institute of Standards and Technology (NIST) methodology, employing FTK Imager as a forensic tool, Autopsy for analysis and data recovery, and HashGenerator to verify the hash results of each file. From the analysis conducted, various files deleted by the perpetrator were discovered on the flash disk storage media, subjected to different treatments using forensic tools FTK Imager, Autopsy, and HashGenerator. Autopsy successfully retrieved metadata of the deleted files on the same date as the reporting date. Notable differences were observed among the deletion methods. Particularly, in the third method involving quick format, the deleted filenames were altered to different names similar to their original names. Additionally, the size and hash values of all files for each deletion method showed no alterations in their MD5 hash values, indicating that no changes had occurred to these files.
Keywords: Cybercrime, Digital Evidence, NIST, Digital Forensics, Flash Disk, Forensic Tool
Analisis Evaluasi Keamanan Informasi Pada Badan pemerintahan Pemerintahan XYZ Menggunakan Indeks KAMI 4.2
No full textBadan pemerintahan XYZ merupakan pelaksana otonomi daerah dimana dipimpin oleh seorang kepala instansi, yang berada dibawah Gubernur dan bertanggung jawab kepada Gubernur melalui Sekretaris Daerah. Dalam memenuhi visi dari Badan pemerintahan XYZ masyarakat melalui reformasi kalurahan, pemberdayaan kawasan selatan, serta pengembangan budaya inovasi dan pemanfaatan Teknologi Informasi dimana Badan pemerintahan XYZ telah menggunakan berbagai macam teknologi informasi salah satunya layanan dalam website dengan adanya layanan ini dapat memudahkan masyarakat untuk mendapatkan informasi tentang kegiatan gubernur, kegiatan TI, kegiatan kebudayaan, dan berbagai macam kegiatan lainnya. Kegiatan evaluasi perlu dilakukan untuk memastikan keamanan informasi pada Badan pemerintahan XYZ agar sesuai dengan standar yang berlaku. Evaluasi dilakukan dengan menggunakan indeks KAMI 4.2 pada Badan pemerintahan XYZ dapat mengevaluasi tingkat kematangan kelengkapan penerapan ISO 27001 dan memberikan gambaran tata kelola keamanan informasi pada sebuah organisasi. Selain evaluasi imenggunakan indeks KAMI akan dilakukan peninjauan hasil dari evaluasi indeks KAMI 4.2 terhadap ISO 27001 untuk mengetahui apa saja standar keamanan informasi pada Badan pemerintahan XYZ yang sudah sesuai dengan ISO 27001 dan standar apa saja yang belum sesuai lalu harus diberikan rekomendasi. Dari hasil penelitian tentang Tingkat Kematangan Keamanan Informasi pada Badan pemerintahan XYZ menggunakan Indeks KAMI 4.2, dapat diketahui bahwa untuk kategori sistem elektronik tingkat ketergantungan TIK masing-masing tergolong “strategis, tinggi dan tinggi”
Kata kunci : Evaluasi, Keamanan Informasi, Indeks KAMI 4.2, ISO 27001
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Abstract
Governnment Agency XYZ is the implementer of regional autonomy which is led by an agency head, who is under the Governor and is responsible to the Governor through the Regional Secretary. In fulfilling the vision of Agency , IT activities, cultural activities, and various other activities. Evaluation activities need to be carried out to ensure that information security at XYZ Agency complies with applicable standards. Evaluations carried out using the KAMI 4.2 index at XYZ Agency can evaluate the maturity level of complete implementation of ISO 27001 and provide an overview of information security governance in an organization. In addition to the evaluation using the KAMI index, a review of the results of the KAMI 4.2 index evaluation against ISO 27001 will be carried out to find out what information security standards at XYZ Agency are in accordance with ISO 27001 and what standards are not appropriate and then recommendations must be given. From the results of research on Information Security Maturity Levels at XYZ Agency using the KAMI 4.2 index, it can be seen that for the electronic systems category the level of ICT dependency is classified as strategic, high and high, respectively.
Keywords: Evaluation, Information Security, KAMI Index 4.2, ISO 2700
Work Analysis of An Assembly Operation Using Therbligs
No full textThis study aims to analyze an assembly operation using work analysis technique. The LED bulb assembly operation
is studied because it is labor-intensive manufacturing. This operation requires highly repetitive motions of two hands of worker. Therbligs represent motions when worker assemble the parts. Therefore, Therbligs are used to analyze the movements of worker in this study. The results shown that the ineffective motions such as search, select and hold can be minimized or eliminated by using fixture and rearranging workstation
The Overall Labor Effectiveness (OLE) Method for Analyzing Employee Performance in the Musical Instrument Industry: Overall Labor Effectiveness (OLE) Method for Analyzing Employee Performance in the Musical Instrument Industry
No full textThe production processes in the musical instrument industry are highly diverse, ranging from manual operations to full automation. The musical instrument industry examined in this study is predominantly characterized by manual production processes. In manual production, the role of operators is crucial in determining productivity levels. The Buffing Section is a workgroup within the painting department responsible for polishing components of musical instruments. Observations conducted from September to November revealed that the productivity of this group had not met the company’s target of 82%. Productivity was recorded at 70% in September, 77% in October, and 72% in November. To evaluate this condition, operator performance effectiveness was measured using the Overall Labor Effectiveness (OLE) method. OLE is used to assess labor productivity efficiency in manufacturing by examining the cumulative impact of three elements—availability, performance, and quality—on output. To identify the priority factors affecting productivity, the Analytical Hierarchy Process (AHP) method was employed. Additionally, Root Cause Analysis (RCA) was conducted to analyze the causes of problems and propose improvements. The results of the study showed an OLE value of 76%, indicating that the operational performance effectiveness was below the global standard. AHP analysis revealed that the primary factor influencing the low OLE value, which should be prioritized for problem analysis and improvement, was the quality factor, with an eigenvector value of 0.70. To further identify quality-related issues, RCA analysis highlighted the most dominant defects based on a Pareto diagram, namely rough surfaces (69.74%) and dull finishes (15.61%). The primary causes of these defects were, Uneven operator skills, Improper machine settings, Inadequate sanding processes, Incorrect pressure during the buffing process, Excessive or insufficient use of wax, Poor workplace cleanlines
Development of Geographic Information Systems in Mapping Village-Owned Enterprises in Sleman Regency
No full textThe population increase in the Special Region of Yogyakarta poses challenges, including developing Village-owned Enterprises or BUM Desa in Sleman Regency to enhance rural community welfare. BUM Desa data management currently relies on manual spreadsheets and lacks a dynamic data storage system, hindering access to accurate information. This study employed the Scrum methodology, gathering data through literature reviews, interviews, and observations to assess the current state of BUM Desa. A product backlog guided the development of a web-based GIS application through sprint planning, resulting in an application that maps BUM Desa locations in the Sleman Regency based on coordinates and provides detailed development classifications. This application enhances data management and decision-making for BUM Desa development, simplifies government data management, and improves public access to BUM Desa locations. Black box testing confirmed its functionality, with 100% validity. End-user computing Satisfaction (EUCS) surveys indicated high user satisfaction, emphasizing the application\u27s usability and alignment with user expectations in providing accurate and accessible BUM Desa information
Analyzing Customer Loyalty Levels through Segmentation in Aesthetic Clinics Using K-Means and RFAM
No full textEffective customer segmentation is crucial in optimizing marketing strategies, particularly in customer-oriented aesthetic clinics. This research aims to enhance customer segmentation in aesthetic clinics using a K-Means approach based on the RFAM (Recency, Frequency, Average-Monetary) model. This approach is utilized to leverage historical customer data to identify customer segments based on their purchasing behavior, including visit frequency, average purchase amount, and the last time they visited the clinic. The K-Means clustering method maps customers into homogeneous groups, enabling aesthetic clinics to adapt more focused and personalized marketing strategies. The research results indicate insights obtained from the analysis and interpretation of RFAM conducted on 493 data points, resulting in the formation of two distinct clusters. In Cluster 1, denoting low loyalty, there are 156 customers, while Cluster 2 comprises 337 customers, reflecting high loyalty. Practical implications of this research include improvements in service customization and promotions tailored to customer needs and preferences. In conclusion, the K-Means approach based on the RFAM model can be utilized as an effective tool to enhance customer segmentation in the aesthetic clinic industry
Critical Points of Halal Antioxidants from the Perspective of the Qur’an, Science, and Health
No full textOxidation reactions in oil or fat cause changes in the fat structure and produce a rancid odor. So to prevent this rancidity reaction, antioxidants are needed. Oil or fat is a triglyceride consisting of one glycerol and three fatty acid groups. These fatty acids are easily changed by reaction with oxygen, resulting in unwanted rancidity. Antioxidants that are often used in the oil and oily food industry vary. Some come from synthetic materials, and some come from natural materials. Each has its own advantages and disadvantages, both in terms of halal and health aspects (Tayyib). Halal is a requirement in food products in Indonesia and is regulated in laws and regulations to protect Muslims who are required to eat halal food. Food ingredients must also be guaranteed halal so that the final product can be labeled halal. If we can choose, of course we prefer natural antioxidants that come from halal ingredients and are coated with halal ingredients as well. Thus, the Halal and Tayyib requirements for our bodies will be met. Bamboo Leaf Extract (Bambusa sp) is one of the Natural Antioxidants that comes from Nature. In this study, the Antioxidant in Bamboo Leaves (Bambusa sp) was obtained at 45.22 μg / mL. The critical point of halal Antioxidants can be reviewed based on the purpose of use, the source of the raw materials, and the processing method.
PENGARUH PENAMBAHAN LEMPUNG DENGAN JENIS BERBEDA PADA SINTESIS KOMPOSIT MAGNETIT (Fe3O4) LEMPUNG
No full textTelah dilakukan studi Pengaruh Penambahan Lempung Dengan Jenis Berbeda Pada Sintesis Komposit Magnetit (Fe3O4) Lempung. Penelitian ini bertujuan untuk Mengetahui pengaruh massa lempung dalam sintesis komposit magnetit-lempung, pengaruh jenis lempung dalam sintesis komposit magnetit-lempung dan Mengetahui pengaruh temperatur reaksi dalam sintesis komposit magnetit-lempung. Karakterisasi gugus fungsional zeolit menggunakan Spektrofotometer FT-IR dan kristalinitas menggunakan Difraktometer Sinar-X. Prinsip kerja dari penelitian ini adalah disintesisnya suatu nanokomposit Fe3O4-montmorilonit yang digunakan untuk mengadsorpsi logam berat. Pembuatan komposit ini bertujuan untuk meningkatkan kualitas adsorben sehingga dapat menyederhanakan proses pemisahan dan pemisahan dapat lebih baih dari material semula yang belum digabungkan. Hasil penelitian menunjukkan bahwa Karakter terbaik dari Fe3O4 variasi jenis bentonit diperoleh pada komposit Fe3O4-montmorilonit dengan puncak Fe3O4 terbanyak. Karakter terbaik dari komposit Fe3O4-montmorilonit variasi gram montmorilonit diperoleh pada variasi 3 gram montmoriloni
Segmentasi Pelanggan E-Commerce Menggunakan Fitur Recency, Frequency, Monetary (RFM) dan Algoritma Klasterisasi K-Means
No full textThe rapid growth in the e-commerce industry demands the development of smarter and more focused marketing strategies. One approach that can be applied is customer segmentation using various features such as Recency, Frequency, and Monetary (RFM), along with machine learning-based clustering methods. The objective of this study is to design and develop a web-based e-commerce customer segmentation application using a combination of RFM features and clustering methods. The study proposes the K-Means algorithm and compares it with K-Medoids and Fuzzy C Means using publicly available e-commerce datasets. Experimental results showed that the K-Means algorithm outperformed K-Medoids and Fuzzy C Means (FCM) based on the Silhouette Score of 0.67305, Davies Bouldin Index of 0.51435, and Calinski Harabasz Index of 5647.89. Through analysis and testing, the designed application has proven effective in grouping customers into relevant segments. These segments are divided into three categories: Loyal, Need Attention, and Promising, visualized in a web-based application dashboard using Streamlit. The developed application allows e-commerce business owners and users from the business, management, and marketing divisions to categorize customers based on transaction data. The results of this study are expected to provide valuable insights to e-commerce management and marketing professionals who are facing increasingly fierce competition