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Website security is an important aspect of designing a website and managing web systems. However, many developers still pay little attention to security aspects from the early stages of development. In fact, the website that has been built will be the target of attacks by hackers at any time. Therefore, this research aims to analyze the vulnerability of the SMAN 1 Banjar Agung website based on the OWASP Top 10 standard. The research method was conducted through vulnerability assessment using OWASP ZAP tools with the stages of spidering, passive scanning, and active scanning. This test allows identification of vulnerabilities such as SQL Injection, Cross-Site Scripting (XSS), and security configuration weaknesses. The scan results showed eight vulnerabilities, consisting of two medium, three low, and three informational vulnerabilities. Although the risk level is low, the website still requires mitigation through the application of security headers, dependency updates, and removal of sensitive information to make the system more secure and stable.

This study aims to develop a predictive model using linear regression to identify potential arrhythmias in the elderly based on electrocardiogram (ECG) data. Data were collected through observations at healthcare facilities from elderly patients with indications of arrhythmia, then preprocessed such as cleaning, normalization, feature selection, and outlier checking were carried out. The features used include PR interval, QRS duration, QT interval, and heart rate. The dataset was divided into training data (80%) and test data (20%) to build and evaluate the model. The training results showed that the model was able to predict the risk of arrhythmia with a Mean Squared Error (MSE) value of 0.15 and a coefficient of determination (R²) close to 1. Evaluation using a confusion matrix showed an accuracy of 76.19%, precision of 82.80%, recall of 76.19%, and F1 score of 72.70%. These results prove that linear regression can be used as an initial approach in the early detection of arrhythmias non-invasively in the elderly. This study provides a foundation for the development of ECG data-based clinical decision support systems and suggests future exploration of more complex models and integration with real-time monitoring technologies.

Social media has become a strategic tool for the government to disseminate public information quickly, interactively, and efficiently in the digital era. The Lampung Provincial Government utilizes various social media platforms such as Facebook, Instagram, and TikTok to support public communication activities. This study aims to analyze the effectiveness of public communication by measuring the level of activity of Regional Apparatus Organization (OPD) social media accounts using the logistic regression method. Data were collected through web scraping techniques on the official OPD social media accounts and then processed using a quantitative approach. The results show that the level of social media activity influences the effectiveness of public communication and the transparency of government information. These findings are expected to serve as a basis for local governments in designing public communication strategies that are more optimal and adaptive to developments in digital technology.

This research examines the application of the Elliptic Curve Digital Signature Algorithm (ECDSA) in a blockchain system as a security solution for digital payment systems in Indonesia. Using a descriptive-qualitative approach based on literature review and conceptual simulations using Python, this study discusses the working principles of ECDSA, its advantages over other digital signature algorithms, and the challenges of its adoption in Indonesia. The results show that ECDSA provides high cryptographic efficiency, maintains transaction authenticity and integrity, and supports a transparent decentralized system. The academic simulations include not only KYC processes, top-ups, transactions, validation by validators, and block recording, but also demonstrates the formation of an interconnected multi-level blockchain and tests scenarios for rejecting manipulated or invalid transactions. The contribution of this research lies not only in the theoretical review but also in the implementation illustrations that can be used as a basis for education and the initial development of blockchain-based digital payment systems. The research results show that ECDSA is capable of providing a high level of efficiency in the encryption and transaction verification process, maintaining data integrity and authenticity, and supporting a decentralized and transparent system. The academic simulations included the KYC process, wallet creation using ECDSA keys, balance top-ups through bank integration, transaction creation and validation, and block recording in the blockchain. Specifically, the simulations successfully demonstrated how new blocks are added to the chain by referencing the previous block's hash, as well as how transactions with corrupted signatures, manipulated amounts, or insufficient balances are automatically rejected by the validator consensus mechanism, maintaining system integrity. This research contributes not only theoretically, but also through conceptual representations that can be used as an educational foundation and for the initial development of blockchain-based digital payment systems in Indonesia.

CV KIA is a shop engaged in the field of computer sales and services, coming directly to make transactions and provide computer service information services. So there are obstacles that are quite time consuming and transportation costs for customers to find out information on goods, stock of goods, and the process of purchasing goods because customers have to come directly to the store. Product information on CV Kia cannot be updated in real time so that there is a delay in calculating stock of goods. The method used in this study is the prototype development method and is designed using UML. This system uses two programming languages, namely PHP. Implementation using the Xampp application, and MySQL. The results of this study are the design and creation of a web-based sales information system. The system that is built will also later facilitate the sales transaction process which can later reduce the level of competition with the outside market. This system displays information about product sales, and can carry out the sales transaction process so that customers do not need to come to the store to get information and make product purchases. The results of testing that has been carried out involving 10 Respondents that the conclusion of the quality of the feasibility of the software produced has a percentage of success with an average total of 100%.  Keywords: Sales, Prototype, PHP, Information Systems, Sublime Text

As a vocational education institution, SMK Swadhipa 1 Natar is required to provide adequate facilities to support the development of its students' technical and practical skills. Although some facilities are already available, student complaints remain regarding the condition, availability, and utilization of these services, particularly those related to information technology.This study aims to analyze the level of student satisfaction with information technology services at SMK Swadhipa 1 Natar using a combination of Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA) methods. The study was conducted through a quantitative approach by distributing questionnaires to 100 respondents selected using stratified random sampling techniques. The data collected were analyzed to determine the overall satisfaction score and identify factors of information technology services that were a priority for improvement. The results of the CSI analysis showed that the level of student satisfaction with school information technology services was in the good category, with an average score of 82%. Furthermore, the results of the IPA analysis revealed that information technology services such as computer services in the school lab, wifi networks, and school websites consisting of school exam applications, student registration applications and information about the school on the website were in the top priority quadrant because they had a high level of importance but their performance was still low. Based on these results, it can be concluded that although in general students stated that they were quite satisfied with the information technology services available, there were several important aspects, especially technology-based information technology services, that needed more attention from the school. Thus, recommendations for improving technological infrastructure and periodic evaluation of educational information technology services can help SMK Swadhipa 1 Natar in improving the quality of educational services and student satisfaction. 

The rapid development of information technology in today's digital era has significantly impacted organizational performance, particularly in data management and resource planning. One organization that heavily relies on accurate data availability is the Indonesian Red Cross (PMI), especially its Blood Donor Unit (UDD). UDD PMI of Asahan Regency faces challenges in determining monthly blood donor targets to maintain stable blood stock. A shortage of blood supply can be fatal for patients requiring transfusions. Therefore, a system is needed to forecast the number of blood donors, allowing for more accurate decision-making. This study utilizes the Weighted Moving Average (WMA) method to predict the number of blood donors for the following month based on historical data from March 2024 to March 2025. The WMA method is chosen for its ability to assign greater weight to recent data, making the forecast more relevant and accurate. The results of this research are expected to assist UDD PMI Asahan Regency in anticipating blood needs and maintaining optimal stock availability.

Infectious diseases remain a dynamic and evolving public health threat, requiring data-driven approaches for early detection and targeted policy planning. This study aims to model spatio-temporal trends and clustering patterns of HIV transmission in Bogor Regency during the period 2020–2023 by utilizing a combination of unsupervised and supervised machine learning techniques. The dataset was obtained from the Bogor Regency Health Office and includes annual data on the number of HIV cases across 40 sub-districts. The research methodology consists of data preprocessing stages, clustering using the K-Means algorithm, and classification using a Decision Tree model. The preprocessing steps include data integration, attribute selection, temporal aggregation, handling of missing data, and normalization using Z-score. K-Means clustering is applied to identify hidden patterns in the development of HIV cases, resulting in three distinct clusters based on multi-year trends. The resulting cluster labels are then used as target classes in the supervised classification process. The Decision Tree classification model demonstrates high accuracy in predicting cluster membership, indicating a strong relationship between the temporal patterns of HIV cases and cluster identity. The integration of clustering and classification techniques provides a robust analytical framework for understanding the dynamics of HIV transmission, while also supporting the formulation of more precise, evidence-based, and region-specific public health interventions.

This study evaluates the efficiency of two artificial intelligence models, DeepSeek and OpenAI, in generating code for algorithmic systems. Efficiency is assessed through execution speed, code accuracy, and the number of code characters produced. Data were collected from 100 tests covering search, sorting, graph, dynamic programming, optimization, data processing, text, and machine learning algorithms. The objective is to compare the performance of both models to support the development of efficient information retrieval systems. The method involves algorithm testing with statistical analysis of execution time, accuracy, and code length. Results indicate that DeepSeek has an average execution time of 28.74 seconds, slightly slower than OpenAI’s 28.49 seconds. However, DeepSeek’s accuracy (85.88%) surpasses OpenAI’s (85.03%). The average number of code characters is identical at 96.35 characters. The study concludes that DeepSeek excels in accuracy, while OpenAI is faster in certain cases, providing valuable insights for developers in selecting AI models for information retrieval applications.

This study analyzes the prediction of poverty levels in North Sumatra Province by applying the Long Short-Term Memory (LSTM) method based on time series integrated with Google Earth Engine (GEE). Historical poverty data of districts/cities were obtained from the Central Statistics Agency (BPS) and processed using Python in Google Colab for LSTM model training. The prediction results are visualized spatially in the form of thematic maps through GEE to identify areas with high poverty rates. The evaluation model was carried out by calculating MAE, RMSE, MAPE, and prediction accuracy, with most areas having an accuracy above 80%. These findings indicate that this approach is effective in mapping poverty trends and supporting data-driven policies. This predictive model can be the basis for more targeted social interventions and strategies for developing inclusive and sustainable regional development.

ABSTRACT Information services on campus are often delayed due to reliance on staff, resulting in long queues and inefficient waiting times. This study aims to design and develop a robotic interaction system based on speech recognition and Natural Language Processing (NLP), equipped with a virtual button as an alternative activation method. The system allows users to interact with the robot using voice, while the virtual button provides an additional option for users who are more comfortable with touch-based interaction. The research method employed is prototype development, which includes the design, implementation, and evaluation of the system. Testing was conducted to assess the effectiveness of the system in delivering information services quickly and accurately. The results show that the developed system can enhance service efficiency, reduce dependence on staff, and facilitate faster and more practical interactions between users and the robot. This study is expected to contribute to the development of technology-based public service systems, especially in the campus environment. Keywords: robotic interaction, speech recognition, NLP, virtual button, public service

Maraknya kasus kecurangan atau manipulasi dokumen sertifikat atau piagam penghargaan pada proses Penerimaan Peserta Didik Baru (PPDB) di berbagai wilayah di Indonesia, menjadi permasalahan yang serius untuk diselesaikan. Tindakan ini dapat merugikan para siswa yang telah berprestasi secara jujur, merusak kepercayaan masyarakat terhadap integritas pendidikan dan kredibilitas sistem PPDB itu sendiri, sehingga berdampak pada kepercayaan masyarakat kepada institusi atau lembaga pendidikan dan pemerintah. Metode penelitian yang dipergunakan adalah case studies research. Peneliti menggunakan metode Rapid Application Development (RAD) untuk pengembangan sistem dan blackbox testing berbasis equivalent partition untuk metode pengujian sistem. Berdasarkan hasil blackbox testing berbasis equivalent partition, bahwa sistem informasi verifikasi online yang dibangun, secara keseluruhan fungsionalitasnya sudah berjalan dengan baik. Sistem yang dibangun juga sudah sesuai dengan kebutuhan pengguna dalam mengakomodir permasalahan terkait dengan verifikasi sertifikat secara online, sehingga dapat meminimalisir praktik kecurangan atau manipulasi dokumen sertifikat atau piagam penghargaan.

Penelitian ini bertujuan untuk mengembangkan sistem pemilihan supplier yang efektif dengan menggunakan metode TOPSIS dan pendekatan Rapid Application Development (RAD). CV. Berjaya Jaya Abadi, sebuah perusahaan kontraktor yang bergerak di bidang penyediaan berbagai jenis cat, menghadapi tantangan dalam memilih supplier terbaik di antara beberapa alternatif. Metode TOPSIS digunakan karena kemampuannya untuk memberikan hasil yang lebih objektif berdasarkan kriteria yang telah ditetapkan, dibandingkan dengan metode subjektif yang sebelumnya digunakan oleh perusahaan., mengalami kesulitan dalam menentukan supplier terbaik di antara banyak pilihan yang tersedia. Oleh karena itu, penelitian ini bertujuan untuk mengembangkan sistem pemilihan supplier menggunakan metode TOPSIS yang diimplementasikan melalui pendekatan Rapid Application Development (RAD). Sistem ini dirancang untuk mempermudah pengambilan keputusan dalam memilih supplier dengan mempertimbangkan enam kriteria utama, yaitu Pengiriman, Sejarah Kinerja, Harga, Kualitas, Loyalitas, dan Pelayanan. Hasil penelitian menunjukkan bahwa sistem yang dikembangkan dapat memberikan peringkat supplier berdasarkan kriteria yang telah ditentukan, sehingga dapat membantu perusahaan dalam memilih supplier yang paling sesuai dengan kebutuhan. Metode RAD yang digunakan dalam pengembangan sistem juga terbukti efektif dalam mempercepat proses perancangan dan implementasi sistem. Dengan pengujian Black Box Testing, sistem yang dibangun menunjukkan hasil yang memuaskan dalam mendukung pengambilan keputusan di perusahaan.

Kelembapan dan suhu merupakan faktor yang penting dalam budidaya jamur karena jamur membutuhkan kelembapan dan suhu tertentu untuk tumbuh dengan baik. Aspek lingkungan perlu diperhatikan dalam budidaya jamur adalah selama masa pemeliharaan dan suhu di dalam rumah jamur harus dijaga di kisaran 15-30°C. Suhu di bawah 15°C mengakibatkan tubuh buahnya mengecil dan tangkainya panjang, tetapi kurus. Jika suhunya di atas 30°C, suhu akan menyebabkan payung jadi tipis dan ukurannya kerdil. Kelembapan udara optimum yang dibutuhkan antara 80-90%. Jika kelembapan udara terlalu tinggi, jamur akan cepat membusuk dan jika kelembapan terlalu rendah, jamur akan menjadi kerdil dan kurus. Untuk memonitor tingkat kelembaban dan suhu dalam budidaya jamur tiram dibutuhkan sistem monitoring yang berguna untuk mengetahui kondisi tanaman secara otomatis dan real-time. Internet of Things (IoT) memiliki konsep yang bertujuan untuk memperluas manfaat yang tersambung dalam koneksi internet secara terus-menerus. Penggunaan Internet of Things (IoT) dalam memonitor suhu dan kelembapan dapat membantu efisiensi dan mempercepat pengiriman informasi kelembapan dan suhu udara tempat jamur dibudidaya. Jenis penelitian yang digunakan adalah R&D (Research and Development) dengan jenis model pengembangan prototyping. Hasil penelitian menunjukkan bahwa sistem otomasi dan pemantauan berbasis IoT bekerja dengan baik, dengan tingkat kesalahan pembacaan sensor suhu DHT11 dibandingkan thermometer digital berada di bawah 5% (dengan nilai error antara 0,37% hingga 3,10%). Selain itu, alat dapat mengirimkan notifikasi kepada pengguna ketika suhu atau kelembapan berada di luar rentang yang telah ditentukan, sehingga membantu menjaga kondisi optimal bagi pertumbuhan jamur.

Nilai siswa merupakan representasi hasil belajar siswa yang ditepuh dalam satu semester. Nilai akhir siswa diambil dari hasil pengolahan beberapa nilai siswa. SD Negeri Jambangan 1 merupakan sekolah dasar negeri yang pengolahan data nilai siswanya dilakukan secara manual dengan menggunakan Microsoft Excel serta dokumentasi pembukuan. Pengolahan data nilai siswa dengan cara manual dapat menimbulkan beberapa resiko seperti rusak dan hilangnya data nilai siswa. Sistem informasi pengolahan data nilai siswa dikembangkan dengan tujuan mengurangi resiko rusak dan hilangnya data serta mempermudah proses pengolahan data. Sistem ini akan dibangun berbasis website menggunakan model pengembangan Software Development Life Cycle (SDLC) dengan metode Waterfall. Tahapan penelitian berupa analisis kebutuhan, perancangan, implementasi, pengujian dan perawatan. Pengujian sistem ini dilakukan dengan metode Black Box untuk menguji fungsionalitas sistem serta User Acceptance Testing (UAT) untuk menguji sistem apakah sistem mampu memenuhi kebutuhan user. Hasil pengujian black box menyatakan sistem ini sudah layak di gunakan. Hasil pengujian UAT didapatkan 96,42% responden setuju sistem ini dapat memudahkan dan mempercepat pihak sekolah dalam mengelola dan mengolah data nilai siswa. Penelitian ini menghasilkan sebuah sistem yang dapat mengolah data siswa dari data nilai dasar hingga menjadi nilai akhir siswa.

Kota Semarang sebagai ibukota Jawa Tengah, memiliki berbagai fasilitas kesehatan antara lain berupa posyandu yang selalu dimanfaatkan oleh masyarakat sekitarnya. Tujuan dari penelitian ini adalah bagaimana merancang model aplikasi rute dan lokasi posyandu secara real time dengan metode geolocation dan formula Haversine. Metode penelitian yang digunakan model siklus hidup pengembangan sistem (Sistem Development Life Cycle). Hasil penelitian ini adalah berupa aplikasi rute dan peta navigasi berbasis mobile Android yang dapat memberikan informasi mengenai keberadaan lokasi, rute dan jarak posyandu. Hasil aplikasi ini penting bagi masyarakat yang membutuhkan petunjuk jalan lokasi posyandu. Dengan adanya aplikasi ini diharapkan hasilnya akan membantu masyarakat memperoleh informasi rute dan lokasi posyandu di kota Semarang dapat terpenuhi.

Online Public Access Catalogue (OPAC) atau katalog / koleksi perpustakaan dirancang untuk menemukan /menelusuri koleksi yang diinginkan oleh pengunjung perpustakaan dengan lebih mudah. Pengembangan rancangan OPAC lebih difokuskan bagaimana sistem ini dapat memberikan informasi mengenai status koleksi, lokasi koleksi sehingga pengunjung perpustakaan bisa lebih mudah dan dengan lebih cepat menemukan koleksi sesuai tempatnya. OPAC ini dikembangkan dengan menggunakan bootstrap yang mendukung antarmuka berbasis web yang responsif, dan bisa menyesuaikan ukuran layar/monitor.Metode pengembangan sistem ini menggunakan konsep pengembangan sistem System Development Life Cycle (SDLC), dengan database MySQL. Aplikasi OPAC dirancang agar bisa diakses oleh pengunjung perpustakaan di dua lokasi yang berbeda, yaitu kampus UNISBANK yang di Mugas, dan kampus UNISBANK yang di Kendeng, dengan memanfaatkan koneksi jaringan. Sistem ini akan mempermudah pengaksesan koleksi perpustakaan seperti pencarian katalog berdasar pengarang, kata kunci, penerbit, melihat ringkasan dari buku, dan memperoleh informasi di perpustakaan mana buk u tersebut berada serta jumlah eksemplar yang masih tersedia.

Pencatatan transaksi keuangan yang cermat dan tepat sesuai penggunannya akan menghasilkan informasi yang akurat dan up to date bagi setiap pemakai dan yang membutuhkan. Tak terkecuali perusahaan kecil dengan volume transaksi yang tidak sedikit di bagian pusat dan cabang juga membutuhkan pembukuan transaksi keuangan yang dimilikinya. Dalam menjawab permasalahan dan kesulitan yang dialami oleh pengusaha dalam mengambil keputusan yang terkait operasional keuangan perusahaan, perlu dibuat suatu sistem informasi keuangan bagi pengusaha kecil berbasis area. Pada penelitian ini dikembangkan Sistem Informasi (Sisfo) Keuangan yang berlaku pada pengusaha kecil, “Batik Wijayanti Semarang”. Sistem yang dikembangkan adalah antarmuka berbasis web yang dibangun menggunakan paket perangkat lunak HTML, PHP dan MySQL. Metode pengembangan sistem ini menggunakan konsep pengembangan sistem System Development Life Cycle (SDLC). Sistem pencatatan transaksi keuangan ini mengacu pada siklus akuntansi yang dimulai dari pencatatan transaksi ke jurnal, kemudian pencatatan penerimaan dan pengeluaran pusat dan cabang, sampai dengan menghasilkan laporan keungan dalam bentuk: Buku Besar, Neraca, Laporan Laba/Rugi, dan Laporan Perubahan Modal.   Kata kunci: sisfo keuangan, area, SDLC

Persaingan bisnis distro di kota semarang semakin ketat. Smith adalah salah satu distro yang baru berdiri sejak tahun 2010 di Semarang. Mekanisme sistem penjualan pada distro smith sekarang masih menggunakan sistem konvensional, dimana konsumen harus datang langsung ke distro. Dengan adanya Aplikasi E-commerce pada Distro Smith Semarang diharapkan dapat memberikan kemudahan kepada masyarakat untuk melakukan pembelian produk tanpa harus datang ke tempatnya, serta memperluas pemasaran dan meningkatkan costumer loyality. Distro ini dikembangkan dengan SDLC (System Development Life Cycle) dan software yang digunakan untuk merancang dan mendesain Aplikasi E-commerce yaitu bahasa pemrograman PHP, text editor Macromedia Dreamweaver 8, Database MySQL dan Adobe Photoshop CS4. Aplikasi ini juga dapat menghasilkan informasi produk yang dijual, serta menyajikan laporan-laporan yang ditujukan kepada pimpinan (manajer) diantaranya: laporan produk, laporan member, laporan order, dan laporan penjualan.

Penggunaan akses internet dengan metoda dial up pada suatu perusahaan internet sering dibatasi oleh anggaran dana yang  sudah ditetapkan. Dengan demikian diperlukan  suatu kontrol dalam membatasi pemakaian  pulsa  internet  agar  tidak  melebihi  anggaran  yang  sudah  ditetapkan. Maka  diperlukan  suatu program  aplikasi  untuk mengontrol  akses  internet  secara  dial  up.  Pengembangan  aplikasi menggunakan software development Visual Basic 6.0 dengan database Microsoft Access dan memanfaatkan script Win32 Internet API  (WinInet API)  pada  file wininet.dll  yang  sudah  tersedia  pada Operating  System Windows 98/2000/XP. Script Win32 Internet API merupakan salah satu bagian dari funsi – fungsi internal windows yang disebut dengan API (Application Programmer Interface). API berfungsi sebagai interface / jembatan antara windows dengan programmer. Fungsi ­ fungsi API dapat diakses oleh programmer melalui file ­ file library API untuk diaplikasikan pada suatu program. Fungsi aplikasi adalah untuk mengontrol penggunaan internet  berdasarkan  pada  pemakaian  pulsa  /  waktu.  Secara  umum  aplikasi  juga  dapat  digunakan  oleh pengguna internet dengan sistem sambungan dial up.