UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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Pemeringkatan Kinerja Dosen pada Perguruan Tinggi Swasta Menggunakan Algoritma Simple Additive Weighting
No full textThe Tri Dharma of Higher Education is an obligation for lecturers while carrying out their duties as lecturers at higher education institutions, the implementation of which is regulated in Law Number 20 of 2003 concerning the National Education System. The Tri Dharma of Higher Education is a lecturer\u27s obligation, including Education and Teaching, Research and Development, and Community Service. Lecturers need Support and motivation to implement quality Tri Dharma, especially at "X" Private Universities. Providing rewards or awards can motivate lecturers to give their best performance to Tri Dharma. Student feedback is also needed as evaluation material for lecturers to measure their teaching abilities. Rewarding lecturers can be done by ranking lecturer performance, especially at private universities. The SAW (Simple Additive Weighting) algorithm ranks lecturer performance through the criteria of education and teaching, research, community service, and student feedback. An assessment of several subcriteria presents each criterion. The normalized scoring matrix is the ranking preference. From the results of data processing on lecturer performance and feedback from students, with a sample of 25 lecturers, a ranking score was obtained on a scale of 0 to 1, where a score of 1 is the highest ranking. The lecturer performance ranking process involves lecturers, students, and the Study Program Management Unit. A lecturer performance rating information system is needed to facilitate all actors\u27 involvement in the lecturer performance rating process and provide valid and timely rating results to stakeholders
Evaluasi Keamanan Sistem Informasi Pada Penyedia Layanan Cloud Dan Perlindungan Data Pribadi Berdasarkan Index Kami Versi 4.2 (Studi Kasus : PTIPD UIN Sunan Kalijaga Yogyakarta)
No full textPusat Teknologi Informasi Dan Pangkalan Data (PTIPD) merupakan salah satu Unit Pelaksana Teknis (UPT) yang ada di Universitas Islam Negri Sunan Kalijaga Yogyakarta yang memiliki tugas untuk mengelola dan mengembangkan sistem informasi manajemen, pengembangan, pemeliharaan jaringan dan aplikasi, pengelolaan basis data, pengembangan teknologi lainnya, dan kerjasama jaringan. Perkembangan teknologi yang pesat dan pola bisnis yang dinamis menyebabkan munculnya risiko keamanan informasi baru. Keterlibatan pihak ketiga penyedia layanan dalam suatu instansi menimbulkan risiko terkait keberadaan dan keterlibatan pihak eksternal. Layanan berbasis infrastruktur awan (Cloud) memberikan peluang efisiensi dan peningkatan kinerja yang sangat signifikan bagi instansi, akan tetapi risiko terkait data yang berada pada pengendalian pihak ketiga (penyelenggara layanan) perlu dimitgasi. Penggunaan tools indeks KAMI dalam penelitian ini hanya berfokus dalam tiga area diantaranya: pengamanan keterlibatan pihak ketiga, pengamanan layanan infrastrukutur awan dan perlindungan data pribadi. Hasil dari evaluasi tingkat presentase kelengkapan dan efektifitas penggunaan teknologi dalam pengamanan aset informasi di PTIPD UIN Sunan Kalijaga Yogyakarta yaitu: untuk pengamanan keterlibatan pihak ketiga mendapatkan presentase 49%, pengamanan layanan infrastruktur awan (cloud) sebesar 33% dan untuk pengamanan perlindungan data pribadi mendapatkan presentase 67%. Rekomendasi dari penelitian ini dapat di jadikan sebagai bahan pertimbangan da evaluasi bagi instansi dalam melakukan perbaikan yang berkaitan dengan mitigasi risiko dan pencegahan terhadap kerentanan keamanan informasi, serta dapat memastikan aturan dapat tercapai dengan baik dan keputusan terhadap kebijakan keamanan informasi dalam satu instansi di masa depan.
Evaluation Of Information System Security In Cloud Service Provider And Protection Of Personal Data Based On Index Kami Version 4.2 (Case Study: PTIPD UIN Sunan Kalijaga Yogyakarta)
Kata kunci: Indeks KAMI, PTIPD, Keamanan Informasi, Penyedia Layanan Cloud, Perlindungan Data Pribadi
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The Center for Information Technology and Database (PTIPD) is one of the Technical Implementation Units (UPT) at the Islamic University of Sunan Kalijaga, Yogyakarta, which has the task of managing and developing management information systems, developing, maintaining networks and applications, managing databases, developing other technologies, and network cooperation. Rapid technological developments and dynamic business patterns have led to the emergence of new information security risks. The involvement of third party service providers in an agency creates risks related to the presence and involvement of external parties. Cloud infrastructure-based services (Cloud) provide significant efficiency and performance improvement opportunities for agencies, but risks related to data that are in the control of third parties (service providers) need to be mitigated. The use of the KAMI index tools in this study focuses only on three areas including: securing third party involvement, securing cloud infrastructure services and protecting personal data. The results of evaluating the percentage level of completeness and effectiveness of using technology in securing information assets at PTIPD UIN Sunan Kalijaga Yogyakarta, namely: for securing third party involvement gets a percentage of 49%, securing cloud infrastructure services (cloud) for 33% and for securing personal data protection getting a percentage 67%. Recommendations from this research can be used as material for consideration and evaluation for agencies in making improvements related to risk mitigation and prevention of information security vulnerabilities, and can ensure that rules can be achieved properly and decisions on information security policies within an agency in the future.
Keywords: KAMI Index, PTIPD, Information Security, Cloud Service Provider, Protection Of Personal Dat
Evaluasi Tingkat Kesiapan Keamanan Informasi Pada SMK XYZ Menggunakan Indeks KAMI Versi 4.2
No full textKeamanan informasi penting untuk diperhatikan agar kerahasiaan informasi, data, manusia dan alat pendukung terlindungi. Namun, bahaya ancaman dalam bidang TI mengintai penyelenggara sistem elektronik (PSE), kejahatan yang timbul tidak hanya menyerang organisasi besar, melainkan menyerang berbagai tingkatan, ukuran, maupun tingkat kepentingan organisasi penyelenggara layanan TI. Oleh karena itu pentingnya melakukan evaluasi ke penyedia layanan informasi untuk memaksimalkan sumberdaya dalam menghadapi ancaman. Tujuan penelitian ini untuk melakukan evaluasi penyelenggaraan layanan TI menggunakan Indeks KAMI pada SMK XYZ. Proses evaluasi dilakukan dengan pendekatan kuantitatif. Data dikumpulkan dari hasil wawancara dan observasi dari PSE. Data yang terkumpul kemudian di analisis menggunakan aplikasi Indeks KAMI 4.2. Hasilnya, SMK XYZ termasuk kategori Rendah dengan skor SE 14, dengan status kesiapan Tidak Layak dengan skor Tingkat Penerapan Standar ISO27001 sesuai Kategori SE yaitu 314. Skor tiap area yang dievaluasi yaitu Tata Kelola memperoleh skor 72 dengan tingkat kematangan valid Tingkat II, Pengelolaan Risiko memperoleh skor 15 dengan tingkat kematangan valid Tingkat I, Kerangka Kerja Keamanan Informasi memperoleh skor 91 dengan tingkat kematangan valid Tingkat II, Pengelolaan Aset memperoleh skor 78 dengan tingkat kematangan valid Tingkat I+, Teknologi dan Keamanan Informasi memperoleh skor 58 dengan tingkat kematangan valid Tingkat II, dan bagian terakhir adalah Suplemen sebagai bagian tambahan pengukuran dengan tiga aspek di dalamnya yaitu aspek Pengamanan Keterlibatan Pihak Ketiga memperoleh nilai 33%, aspek Pengamanan Layanan Infrastruktur Awan memperoleh nilai 33%, dan aspek Perlindungan Data Pribadi memperoleh nilai 67%. Hasil evaluasi kesiapan (kelengkapan dan kematangan) yang telah dilakukan menjadi perhatian untuk meningkatkan keamanan informasi pada area dilakukan.
Kata kunci: Indeks KAMI, SMKI, Keamanan Informasi, ISO/IEC27001:2013
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Ensuring information security is imperative to safeguard the confidentiality of data, individuals, and supporting tools. However, persistent threats in the realm of Information Technology (IT) pose a constant risk to electronic system providers. These threats target organizations of diverse sizes, levels, and interests within the IT service domain. Consequently, evaluating information service providers becomes crucial for optimizing resources in countering potential threats. This study focuses on assessing IT service delivery using the KAMI Index at SMK XYZ, employing a quantitative approach. Data is gathered through interviews and observations within the electronic system provider context. The collected data is then analyzed using the OUR Index 4.2 application. The evaluation reveals that SMK XYZ falls into the Low category, scoring 14 in the SE index, indicating an Unfit readiness status with an ISO27001 Standard Implementation Level score of 314, aligning with the SE Category. Further analysis of specific areas shows varying maturity levels. Governance scores 72 at Level II, Risk Management scores 15 at Level I, Information Security Framework scores 91 at Level II, Asset Management scores 78 at Level I +, and Technology and Information Security scores 58 at Level II. The Supplement section, addressing additional measurement aspects, records scores of 33% for Securing Third Party Involvement, 33% for Securing Cloud Infrastructure Services, and 67% for Personal Data Protection. These findings underscore the need for enhanced information security measures within the evaluated context.
Keywords: KAMI Index, SMKI, Information Security, ISO/IEC27001:2013
Perancangan Tim Security Operation Center Di Perusahaan Sektor Finansial: Studi Kasus Dan Analisis
No full textTujuan penelitian ini untuk mengetahui perancangan tim security operation center di perusahaan sektor finansial. Keamanan informasi merupakan aspek penting dalam operasional perusahaan sektor finansial yang menangani data sensitif dan pengelolaan risiko global. Tim Security Operations Center (SOC) memainkan peran kunci dalam mendeteksi, menanggapi, dan mencegah serangan siber yang dapat mengganggu stabilitas keuangan. Penelitian ini mengadopsi pendekatan kualitatif deskriptif Penelitian ini bertujuan untuk mengembangkan model perancangan Tim SOC yang efektif di perusahaan sektor finansial. Studi kasus pada perusahaan XYZ menunjukkan bahwa faktor-faktor seperti pengalaman dan kepemimpinan, komunikasi dan kerja sama, teknologi dan alat kritis, serta dukungan manajemen sangat mempengaruhi kesuksesan operasional SOC. Pengelolaan SOC dalam konteks industri cryptocurrency yang memiliki risiko dan dinamika berbeda dari sektor lainnya. Hasil penelitian menunjukkan bahwa pemahaman mendalam tentang ancaman spesifik dan adaptasi terhadap regulasi yang ketat diperlukan untuk meningkatkan kinerja SOC. Dengan demikian, penelitian ini memberikan panduan untuk optimalisasi dan peningkatan efektivitas Tim SOC dalam menghadapi tantangan keamanan di lingkungan bisnis finansial.
Kata kunci: keamanan informasi, tim security operation center (SOC), sektor finansial, kinerja operasional, stabilitas keuangan
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Abstract
The purpose of this study was to determine the design of the security operation center team in financial sector companies. Information security is an important aspect of the operations of financial sector companies that handle sensitive data and manage global risks. Security Operations Center (SOC) teams play a key role in detecting, responding to, and preventing cyberattacks that can disrupt financial stability. This research adopts a descriptive qualitative approach This research aims to develop an effective SOC Team design model in financial sector companies. The case study of XYZ company shows that factors such as experience and leadership, communication and cooperation, critical technologies and tools, and management support greatly influence the operational success of the SOC. SOC management in the context of the cryptocurrency industry, which has different risks and dynamics from other sectors. The results show that an in-depth understanding of specific threats and adaptation to strict regulations are required to improve SOC performance. Thus, this research provides guidance for optimizing and improving the effectiveness of the SOC Team in facing security challenges in the financial business environment.
Keywords: information security, security operations center (SOC) team, financial sector, operational performance, financial stabilit
Seismic Disaster Study Based on Soil Vulnerability Index (Kg) and Peak Ground Acceleration (PGA) Values in Kokap and Surrounding Areas: Studi Kebencanaan Seismik Berdasarkan Nilai Indeks Kerentanan Tanah (Kg) dan Perecepatan Tanah Maksimum (PGA) di Daerah Kokap dan Sekitarnya
No full textKulon Progo region is one of the areas in Yogyakarta that often experiences natural disasters, especially landslides. With the morphology of mountains that are described as large domes with flat tops and steep wings (Van Bamelen, 1949), making the Kulon Progo area more prone to landslides. Earthquakes with great force can cause landslides in this area. To map areas that are prone to earthquakes and landslides, research using the microseismic method was used. The research is located in Hargorejo Village and Hargowilis Village, Kokap District and Karangsari Village, Pengasih District, DI. Yogyakarta consists of 9 measurement points. Data processing was performed using Geopsy software using the HVSR method. The results showed that the Kokap area and its surroundings had an amplification factor value range of 1-5 times, the natural frequency value was 1.2 Hz to 12.2 Hz, the dominant period value was 0.5-0.8 s, the soil vulnerability index value was , 1 /cm to 2.7 /cm and a PGA value of 64 cm/ to 206.2 cm/ . Based on the research results, the area most vulnerable to the consequences of the earthquake is the village of Hargorejo. The village of Hargorejo which is composed of andesite intrusion has resulted in mineral alteration which produces clay minerals where clay minerals are impermeable so that they easily become sliding fields. When an earthquake occurs, this area will suffer significant damage
Waste Reduction Analysis with Lean Manufacturing Approach
No full textUPT Logam Yogyakarta is one of the manufacturing industries engaged in metal casting services. UPT Logam Yogyakarta has the status of a Regional Business Service Agency so that this company has the capacity to receive requests from local and foreign consumers. One of the requests produced is the product Panasonic Downlight NN511. The problem that occurs in this company is the waste that occurs in the production process which results in losses to the company because the production output is not optimal. This can be indicated from the capacity of the production machine in the form of a sophisticated automated die casting machine with the ability to produce a Panasonic Downlight NN511 product per 45 seconds that cannot be utilized optimally, due to an unbalanced production path caused by waste and non-value added time. As a result, the production capacity of 1040 pcs per day cannot be achieved, and is only able to produce at the rate of 200-300 pcs. As a calculation reference to determine the degree of accuracy, a adequacy and uniformity test of the data will be carried out, then calculate the rating factor and determine the allowance for the calculation of normal time and standard time. After testing and adjusting the data with the factor rating and allowance, it was found that there was a cycle time that was greater than the taktime, it explained that the metal UPT had to reduce the cycle time at the finishing and packaging stations to be able to meet customer demands. One of the large proportions of waste is the waiting time in the production process. The analysis to determine the root cause of the problem is carried out using a fishbone diagram. To optimize available resources and increase production efficiency, several continuous improvements are needed in the flow pattern of the Panasonic Downlight NN511 production process. balancing, compiling the layout using Activity Relationships Chart, and collapsing diagrams. From these improvements, it is hoped that Yogyakarta Metals UPT in producing the Panasonic Downlight NN511 can achieve a higher level of productivity
Optimisation of Residual Network Using Data Augmentation and Ensemble Deep Learning for Butterfly Image Classification
No full textImage classification is a fundamental task in vision recognition that aims to understand and categorize an image under a specific label. Image classification needs to produce a quick, economical, and reliable result. Convolutional Neural Networks (CNN) have proven effective for image analysis. However, problems arise due to factors such as the model’s quality, unbalanced training data, overfitting, and layers’ complexity. ResNet50 is a transfer learning-based convolutional neural network model frequently used in many areas, including Lepidopterology. Studies have shown that ResNet50 performs with lower accuracy than other models for classifying butterflies. Therefore, this study aims to optimise the accuracy of ResNet50 using an augmentation approach and ensemble deep learning for butterfly image classification. This study used a public dataset of butterflies from Kaggle. The dataset contains 75 different butterfly species, 9.285 training images, 375 testing images, and 375 validation images. A sequence of transformation functions was applied. The ensemble deep learning was constructed by incorporating ResNet50 with CNN. To measure ResNet50 optimisation, the experimental results of the original dataset and the proposed methods were compared and analysed using evaluation metrics. The research revealed that the proposed method provided better performance with an accuracy of 95%
Leveraging Ontology-Driven Machine Learning for Public Policy Analysis: A Systematic Review of Social Media Applications
No full textAs social media platforms increasingly serve, machine learning techniques are formulated with particular ontologies, which furnish invaluable resources. This qualitative literature review investigates the incorporation of ontology-driven machine learning methodologies for analysing public policy utilizing social media data. This review encompasses findings from scholarly research published between 2019 and 2024 that apply ontologies to enhance models\u27 interpretation, precision, and flexibility across diverse sectors, including health, environment, economy, and culture. An integrated methodology is adopted to identify, select, and evaluate pertinent studies by scrutinizing elements such as genre ontology, machine learning, existing literature, and evaluation metrics. The findings indicate that the ontology-centric framework facilitates the extraction process and semantic analysis, ultimately contributing to a more nuanced comprehension of unstructured data. Nonetheless, obstacles persist in ontology development concerning capacity enhancement, data integrity, and ethical considerations. The review concludes with a discourse on the ramifications for policymakers and researchers who may leverage these insights to guide decision-making, and scholars are now urged to confront limitations and investigate novel platforms, metrics, and ethical frameworks. The review underscores the potential of ontology-driven machine learning as a formidable strategy in the advancement of policy research and social analysis
Design of a Web-Based E-Commerce Sales System for the Economic Empowerment of Tambak Fish Farmers
No full textThis research addresses the economic challenges of fish farmers in Argomulyo Village, Cangkringan District, by developing a web-based e-commerce sales system. The primary issue identified is the limited market access experienced by these farmers. To address this, the study employs a qualitative research methodology using the Waterfall software development model and gathers data through observation, interviews, literature reviews, and questionnaires. The e-commerce platform aims to enhance economic opportunities for local fish farmers by providing a digital marketplace to overcome limited market access. Quantitative data was collected from 15 respondents using a questionnaire with 10 statements to evaluate the system. The analysis results show that the validity test (R Calculated > R Table) confirms all statements are valid, and reliability is tested with a Cronbach\u27s Alpha of 0.958, exceeding the reference value of 0.6, indicating high reliability. The e-commerce system has proven effective in broadening market reach, boosting sales, and increasing farmers\u27 income. The study results highlight the e-commerce system\u27s positive impact on fish farmers\u27 economic empowerment, demonstrating its potential to foster sustainable growth and market expansion in the digital era. This research provides valuable insights into the use of technology to enhance and advance the lives of farmers in rural communities
Improving Stock Price Prediction Accuracy with StacBi LSTM
No full textThis research aimed to enhance stock price prediction accuracy using the Stacked Bidirectional Long Short-Term Memory (StacBi LSTM) model. The study addressed the challenge of capturing long-term dependencies and temporal patterns inherent in stock price data. The research objectives were to evaluate the model\u27s performance across different input sequence lengths and identify the optimal length for prediction. Leveraging a dataset from the Indonesian Stock Exchange, the model\u27s predictions were evaluated using key metrics such as RMSE, MAE, MAPE, and R2. Results indicated that the StacBi LSTM model excelled in capturing stock price trends and demonstrated strengths over traditional methods. The optimal input sequence length was identified, balancing computational efficiency and prediction accuracy. This research contributes valuable insights into improving stock price prediction techniques and offers practical implications for traders and investors. Future research directions encompass hybrid models and integrating external factors to enhance predictive capabilities further