Penelitian ini bertujuan untuk mengembangkan model ontologi yang akan diterapkan pada domain pariwisata yang ada di Kabupaten Banyumas. Implementasi ontologi menggunakan protege, model ontologi dikembangkan kedalam bentuk ontologi dengan struktur hirarki class, slot dan property. Model ontologi yang dihasilkan, mampu memberikan informasi pariwisata yang ada di Kabupaten Banyumas dengan sistematis. Pengaksesan atau menampilkan informasi pariwisata menggunakan sparql.
Marketplace merupakan sebuah website atau aplikasi online yang memfasilitasi proses jual beli dari berbagai toko, dimana calon pembeli dan penjual bertemu untuk melakukan transaksi secara elektronis melalui media internet. Mahasiswa Fakultas Teknik banyak yang melakukan kegiatan kewirausahaan, hampir semua organisasi kemahasiswaan yang ada di Fakultas Teknik Unsoed memiliki bidang atau divisi khusus kewirausahaan. Penjualan dilakukan digedung perkuliahan menggunakan konsep kantin kejujuran dimana transaksi jual beli mengandalkan kejujuran pembeli dan pedagang hanya perlu menaruh produknya di meja kantin kejujuran, adapun masalah yang sering terjadi yaitu jumlah uang yang di peroleh pedagang tidak sesuai dengan hasil yang seharusnya. Berdasarkan hal tersebut maka dilakukan penelitian “Rancang Bangun Marketplace Penjualan Jajanan dan Makanan di Lingkungan Kampus dan Mahasiswa (Studi Kasus Fakultas Teknik Unsoed)” Tujuan dari Penelitian ini adalah merancang sistem penjualan berbasis web yang dapat mempermudah mahasiswa dan masyarakat sekitar kampus dalam melakukan transaksi penjualan dan pembelian, sehingga proses penjualan bisa dilakukan secara efisien dan meningkatkan nilai penjualan bagi para pedagang. Bahasa pemrograman yang digunakan pada penelitian ini bahasa pemrograman PHP native, basis data yang digunakan MySQL, dan metode pengujian yang digunakan Blackbox dan Mean Opinion Score (MOS). Hasil pengujian sistem berdasarkan pengujian MOS 82% responden menyatakan bahwa sistem marketplace membantu dalam proses transaksi jual beli produk, dan hasil pengujian sistem menggunakan blackbox sistem berjalan dengan baik sesuai ketentuan pengujian sistem.
Teknologi informasi dan Komunikasi berkembang dengan pesat. Saat ini, TIK telah dimanfaatkan diberbagai aspek kehidupan manusia. Salah satu pemanfaatan TIK yaitu dibidang pendidikan. Teknik Informatika Universitas Jenderal Soedirman, secara aktif mengikuti perkembangan dan pemanfaatan teknologi informasi. Partisipasi tersebut ditunjukan melalui kegiatan penelitian merancang bangun Sistem Informasi Laboratorium (SILAB) yang akan diterapkan di Prodi Teknik Informatika, kemudian mempublikasikan melalui makalah ini .Makalah ini berisi tentang sistem informasi laboratorium (SiLab). SiLab ini dibangun dengan menggunakan PHP sebagai bahasa pemrograman dan MySql sebagai DBMSnya. Sistem ini dirancang menggunakan DFD, kemudian dilanjutkan dengan membuat CDM ( Conseptual Data Model ). Silab ini bertujuan untuk mempermudah Prodi TI dalam hal pengelolaan kegiatan praktikum. Fasilitas yang terdapat didalam sistem ini antara lain : pengelolaan data peserta praktikum, pengelolaan jadwal, pengelolaan asisten/dosen, pengelolaan presensi kegiatan praktikum baik asisten maupun praktikan, pengelolaan nilai serta fasilitas rekap vakasi (honor) kegiatan praktikum. Selain bertujuan untuk mempermudah pengelolaan kegiatan praktikum, sistem ini diharapkan dapat memberikan nilai tambah bagi prodi Teknik Informatika Unsoed dalam menerapkan paperless office dan lebih kompetitif serta memungkinkan menghasilkan keunggulan baru bagi prodi TI Unsoed. Kata kunci: Sistem Informasi, web, PHP, MySql, SiLab
Development of computer technology today has been change rapidly. Choosing the university is very important for student. One of student problem choosing university is available many universities which can make confusing the student. Aware how important choosing best university. So, must be planning a application program at education sector in particular fuzzy application for decision support choosing university based web. This fuzzy application build using fuzzy variable such as faculty,majors, accreditation, number of lectures, infrastructures, etc. Application web by using internet media be intended can accessed by all of people and help student take decision for choosing the best university
Fall detection is a major challenge in the development of technology-based healthcare systems, particularly in elderly care. This study aims to compare the performance of six classification algorithms: Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, Random Forest, Long Short-Term Memory (LSTM), and Convolutional Neural Networks (CNN) in detecting fall incidents using wearable sensor data such as accelerometers and gyroscopes. The research utilizes a dataset consisting of 1,428 training samples and 573 testing samples, evaluated using a 10-fold cross-validation technique. The results show that CNN and LSTM deliver the best performance with accuracies of 94% and 92%, while Random Forest offers a good balance between accuracy and processing time. SVM and KNN exhibit faster processing times but slightly lower accuracies, at 87% and 84%, respectively. The superiority of CNN and LSTM in detecting more complex fall patterns aligns with previous studies emphasizing the capabilities of deep learning models in sensor data classification. The implications of these findings that the selection of fall detection algorithms must consider system priorities, whether focused on high accuracy or processing efficiency. Additionally, this research opens avenues for optimizing deep learning models and leveraging edge computing technologies to reduce response times in wearable device applications.
Partners in this program are bamboo craftsmen Jihan Craft, Somakaton Village, Somagede District, Banyumas Regency. The problems faced by partners are lack of equipment in running their business; very limited capabilities in business management consisting of production management, HR, marketing and finance; limited ability in bookkeeping and financial reporting; limited ability to carry out online marketing activities; do not form groups; do not understand group management; and do not have the skills to carry out group administration. To achieve the goals, activities are carried out in the form of counseling, practice and mentoring. The evaluation method is carried out by comparing the level of knowledge and abilities as well as the production and marketing performance of partners before and after the activity. The benefits of this service activity are that partners get additional mechanical production equipment so they can increase the quantity and quality of their products and can produce more efficiently, partners' business management abilities increase, they have the ability to do bookkeeping and financial reporting, they can carry out online marketing activities well, the formation of groups Jihan Craft business officially, understand and can practice group management well; and can carry out group administration activities well.
Stroke is the second most deadly disease in the world according to WHO. The sufferer has an injury to the nervous system. Because of this, health experts, especially in the field of nursing, need special attention. Technological advances continue to change over time so that information needs are needed in life. Currently the data on stroke sufferers is extensive enough so that adequate information presentation techniques are needed so that the information received is very accurate and in accordance with user needs. Therefore, it is necessary to process data mining on stroke patient data to obtain useful information for users. This study aims to prove the performance of the Elbow Method to produce the optimum k value in the stroke prediction data using the K-Nearest Neighbors (KNN) algorithm. The optimum k value is generated from the Elbow Method which is executed with the Google Collaboratory using the Python programming language. The test results show that the Elbow Method produces the optimum k value at k = 7. The KNN model that uses the optimum k value from the Elbow Method can increase the accuracy and precision values reaching 6% and 0.12, respectively.
Penelitian mengembangan sistem penilaian jawaban essay secara otomatis pada PJJ APTIKOM dengan menggunakan algoritma similaritas. Terdapat beberapa tahapan yang dilakukan pada penelitian ini antara lain: 1) input data yang dimasukkan oleh pendidik dan peserta didik berupa soal ujian, kunci jawaban dan jawaban; 2) Pemrosesan teks, kunci jawaban dan jawaban dilakukan pemrosesan teks dengan melakukan tokenisasi, stopword removal, dan stemming; 3) Perhitungan bobot, dilakukan dengan menggunakan algoritma TF-IDF; 4) Pengukuran similaritas antara jawaban dan kunci jawaban dengan menggunakan algoritma cosine similarity; 5) Penjumlahan nilai similaritas untuk setiap soal. Selanjutnya, nilai similaritas dikonversi menjadi nilai akhir bagi peserta didik. Sistem yang dikembangkan akan dikolaborasikan dengan penggunaan E-Learning yang telah digunakan pada PJJ APTIKOM. Dengan adanya sistem ini diharapkan dapat mempermudah pendidik dalam pemberian skor pada jawaban essay dan bagi peserta didik dapat mengetahui secara realtime nilai ujiannya.
This research aims to implement the semantic web learning resource domain.Application of semantic web by utilizing RAP library is a RDF Api, SPARQL as a query to access RDF, and PHP as server side scripting language.Steps being taken in this research include analysis of system requirements, data collection, design, coding, testing.The results of this research is a semantic web that helps in the search for learning resource.
Sinovi (Innovation Center Innovation System) is a website developed to manage the collection of innovation and HAKI owned by the ITTP academic community. Based on the results of initial observations made by interviewing the Center for Innovation and HAKI, although it has been done twice socialization of website use, there are still complaints and obstacles experienced by users. Based on these problems, the researchers conducted research on evaluating the user experience (UX) of the Sinovi website. This study aims to determine the system's performance based on user experience. The UX evaluation process uses methods moderated remote usability testing and user experience questionnaire (UEQ). The study's results using moderated usability testing showed a significant difference in completion rate between the two groups of users, with each group having values of 0.9560 and 0.8235. While the results of time-based efficiency tests showed that the average time-based efficiency between group A and group B has similarities with the values obtained, respectively are 0.1652 and 0.1259. The test results using UEQ show that the Sinovi website has managed to get a positive evaluation. Several categories were successfully obtained, including the "Attractiveness" category with a score of 1.967, the "Perspicuity" category with a score of 1.850, the "Efficiency" category with a score of 2.042, the "Dependability" category with a score of 1.825, and the "Stimulation" category with a score of 1,742. The overall user experience evaluation results show that Sinovi's website is already at a good user experience level but needs to improve to reduce the number of problems.
