Articles
<![CDATA[Evaluasi Usability dan User Experience LMS OASE Universitas Udayana Menggunakan Metode Tuxel 2.0 ]]>
<![CDATA[I Putu Adi Purnawan]]>;
<![CDATA[I Ketut Gede Darma Putra]]>;
<![CDATA[Ni Kadek Dwi Rusjayanthi]]>
<![CDATA[ Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 10 No. 3 (2021) ]]>
Publisher : <![CDATA[Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha ]]>
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DOI: 10.23887/janapati.v10i3.40670
<![CDATA[Usability dan User Experience adalah aspek penting untuk mengukur tingkat kemudahan pengguna dalam mengoperasikan suatu website, terutama website yang khusus digunakan untuk memfasilitasi proses pembelajaran yang biasa disebut dengan Learning Management System (LMS). Tujuan dari penelitian ini adalah untuk mengetahui usability dan user experience pada website LMS OASE dan rekomendasi perbaikannya. Metode yang digunakan dalam penelitian ini adalah TUXEL 2.0, dengan tiga dimansi utamanya yaitu General Usability, Pedagogical Usability, dan User Experience. Pengumpulan data dilakukan dengan menggunakan kuesioner yang telah divalidasi kemudian dibagikan kepada responden dengan pengambilan sampel menggunakan teknik non-probability sampling. Data yang telah diperoleh selanjutnya dianalisis dengan metode analisis deskriptif. Hasil yang diperoleh dari proses evaluasi pada desain OASE lama ditemukan sepuluh permasalahan pada dimensi General Usability, delapan permasalahan pada dimensi Pedagogical Usability, dan tiga variabel User Experience dengan kategori tingkat persepsi negatif. Setelah dilakukan perbaikan desain, hasil evaluasi desain solusi OASE menjadi lebih baik, hanya ditemukan satu masalah pada dimensi General Usability, satu masalah pada dimensi Pedagogical Usability, dan semua variabel User Experience mendapat kategori tingkat persepsi positif.]]>
<![CDATA[Komparasi Algoritma Pincer Search dan Algoritma FP-Growth ]]>
<![CDATA[Putu Ratih Wulandari]]>;
<![CDATA[I Made Agus Dwi Suarjaya]]>;
<![CDATA[Ni Kadek Dwi Rusjayanthi]]>
<![CDATA[ Techno.Com Vol 21, No 2 (2022): Mei 2022 ]]>
Publisher : <![CDATA[LPPM Universitas Dian Nuswantoro ]]>
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DOI: 10.33633/tc.v21i2.5803
<![CDATA[Jumlah pembelian barang setiap harinya berbeda-beda karena itu permasalahan kekurangan stock barang dapat terjadi dan mengakibatkan ketidakpuasan pelanggan dalam berbelanja karena tidak tersedianya produk yang diinginkan. Permasalahan kekurangan stock barang dapat diminimalisir dengan melakukan penelitian mengenai data mining asosiasi menggunakan data transaksi penjualan dari Toko X berdasarkan metode algoritma pincer search dan algoritma FP-Growth. Penelitian ini bertujuan untuk mendapatkan association rule dan jumlah kemunculan frequent item set dalam data transaksi melalui minimum support yang dimanfaatkan untuk mengatasi permasalahan kekurangan stock barang di Toko X serta melakukan komparasi algoritma pincer search dan algoritma FP-Growth terhadap waktu pemrosesan data, frequent item set, rule, confidence dan lift ratio dengan bahasa pemrograman Python. Komparasi algoritma pincer search dan algoritma FP-Growth terhadap frequent item set, rule, confidence dan lift ratio dengan bahasa pemrograman Python memperoleh hasil yang sama, tetapi waktu yang dibutuhkan dalam pemprosesan data berbeda yang disebabkan oleh minimum support, jumlah transaksi dan jumlah item serta alur proses data yang berbeda dari kedua metode.]]>
<![CDATA[Implementation Of Enterprise Resource Planning On Sales Management And Accounting & Finance Management Using Odoo Software (Case Study Of Furniture Company) ]]>
<![CDATA[Ngurah Arya Bhaskara Wardhana]]>;
<![CDATA[Gusti Agung Ayu Putri]]>;
<![CDATA[Ni Kadek Dwi Rusjayanthi]]>
<![CDATA[ Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 10 No 2 (2022): Vol. 10, No. 2, August 2022 ]]>
Publisher : <![CDATA[Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana ]]>
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DOI: 10.24843/JIM.2022.v10.i02.p02
<![CDATA[Various benefits derived from the application of technology has caused company attempted to apply technology to their business processes, which can improve company performance. One of the most used technology that can utilized is ERP. ERP (Enterprise Resource Planning) is a software which can be used by companies to coordinate and integrate information in the company's business areas. Kenny Furniture is a company with the main activity of producing and selling furniture. The problem that faces by Kenny Furniture is the record of income and expenses of the Kenny Furniture is archived into the bookkeeping without using technology. The solution offered to overcome the problems of Kenny Furniture is implement ERP in the company's business processes, ERP implementation is carried out using the Odoo 15 application and only focuses on sales management and accounting and finance modules. Result of this research is the improvement of Kenny Furniture's Sales and financial recording business process.]]>
<![CDATA[Classification of Explicit Songs Based on Lyrics Using Random Forest Algorithm ]]>
<![CDATA[Luh Kade Devi Dwiyani]]>;
<![CDATA[I Made Agus Dwi Suarjaya]]>;
<![CDATA[Ni Kadek Dwi Rusjayanthi]]>
<![CDATA[ Journal of Information System and Informatics Vol 5 No 2 (2023): Journal of Information Systems and Informatics ]]>
Publisher : <![CDATA[Universitas Bina Darma ]]>
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DOI: 10.51519/journalisi.v5i2.491
<![CDATA[This study focuses on the potential negative impact of explicit songs on children and adolescents. Although an explicit song labeling program is currently in place, its coverage is limited to songs released by artists affiliated with the Recording Industry Association of America (RIAA). Consequently, songs falling outside the program's scope remain inadequately labeled. To address this issue, a machine learning model was developed to effectively classify explicit songs and mitigate mislabeling challenges. A comprehensive dataset of song lyrics was collected using web scraping techniques for the purpose of constructing the classification model. The model was trained using the TF-IDF vectorization method and the random forest algorithm. A meticulous comparison of distribution parameters was conducted between the training and testing data sets to determine the optimal model. This superior model achieved a training-testing data distribution ratio of 90:10, with an impressive accuracy of 96.3%, precision of 99.3%, recall of 93.5%, and an f1-score of 96.3%. The classification results revealed that explicit songs accounted for 39.22% of the dataset, and the visual representation highlighted the fluctuating prevalence of explicit songs over time. Additionally, the hip-hop/rap genre exhibited the highest proportion of explicit songs, reaching a staggering 92%.]]>
<![CDATA[Analisa Pola Belanja Konsumen serta Prediksi Stok Barang Berbasis Web ]]>
<![CDATA[I Made Dwi Cahaya Putra]]>;
<![CDATA[Gusti Made Arya Sasmita]]>;
<![CDATA[Ni Kadek Dwi Rusjayanthi]]>
<![CDATA[ JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 9, No 3 (2023): Volume 9 No 3 ]]>
Publisher : <![CDATA[Program Studi Informatika ]]>
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DOI: 10.26418/jp.v9i3.67154
<![CDATA[Data mining merupakan teknik pengolahan data dalam jumlah besar menggunakan berbagai algoritma serta sistem untuk menghasilkan sebuah informasi yang berguna. Tujuan dari penelitian ini adalah untuk membuat sebuah sistem berbasis web dengan mengimplementasikan teknik data mining yang dapat digunakan dalam mempermudah melakukan asosiasi terhadap barang dan prediksi stok barang. Penelitian ini dilakukan dengan menggunakan dua metode asosiasi yaitu dengan algoritma FP-Growth dan apriori serta dua metode prediksi yaitu dengan algoritma regresi linier dan Support Vector Regression (SVR). Proses asosiasi dari 2658 data transaksi menggunakan metode FP-Growth dan apriori sama-sama menghasilkan jumlah aturan asosiasi berdasarkan nilai minimum support dan confidence yang sama. Proses prediksi 10 jenis barang menggunakan regresi linier dan SVR menghasilkan tingkat akurasi yang berbeda-beda tiap produknya sehingga metode dengan akurasi tertinggi dipilih pada setiap produk. Rata-rata tingkat kesalahan prediksi dengan MAPE dari 10 produk menggunakan metode regresi linear sebesar 12,09% sedangkan metode SVR sebesar 11,51%, sehingga metode SVR memiliki akurasi yang lebih baik untuk diterapkan pada Timbul Jaya Petshop. Hasil dari asosiasi dan prediksi dapat dimanfaatkan untuk merancang strategi bisnis kedepannya. ]]>
<![CDATA[Esscore: An OCR-Based Android App for Scoring Short Handwritten Answer Using Levenshtein Distance ]]>
<![CDATA[Apriana, Krisna]]>;
<![CDATA[I Made Agus Dwi Suarjaya]]>;
<![CDATA[Ni Kadek Dwi Rusjayanthi]]>
<![CDATA[ Journal of Applied Informatics and Computing Vol. 9 No. 4 (2025): August 2025 ]]>
Publisher : <![CDATA[Politeknik Negeri Batam ]]>
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DOI: 10.30871/jaic.v9i4.9708
<![CDATA[Manual evaluation of short answer tests is time-consuming and prone to subjectivity. This study presents Esscore, an Android-based application that automates the scoring of handwritten short answers using EasyOCR and the Levenshtein Distance algorithm. EasyOCR extracts text from student answers image, while Levenshtein Distance measures similarity against predefined answer keys, allowing tolerance for varied correct responses. The system was tested on 350 student’s handwritten answers, achieving 95.7% accuracy. Functional testing using 14 black box scenarios showed all features operated correctly without failure. A usability test conducted with the SUS method produced a score of 76.5, rated “Good” with a grade “B” and an “Acceptable” acceptance level. The Net Promoter Score (NPS) placed the application in the “Passive” category. These results confirm Esscore as a functional, accurate, and user-friendly solution for automated answer scoring in educational environments.]]>
<![CDATA[Design and Implementation of Telegram Bot for Integrated Hospital Information System ]]>
<![CDATA[Sudana, Oka]]>;
<![CDATA[Paramartha, Ary]]>;
<![CDATA[Wirdiani, Ayu]]>;
<![CDATA[Rusjayanthi, Dwi]]>
<![CDATA[ JST (Jurnal Sains dan Teknologi) Vol. 11 No. 1 (2022) ]]>
Publisher : <![CDATA[Universitas Pendidikan Ganesha ]]>
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DOI: 10.23887/jstundiksha.v11i1.41304
<![CDATA[Masih banyak rumah sakit umum belum memanfaatkan telegram bots API. Telegram Bots memungkinkan multi-channel access untuk memudahkan akses data yang dimiliki oleh sistem informasi. Setiap bagian rumah sakit membutuhkan modul yang berbeda. Modul perlu diintegrasikan agar aliran pertukaran data menjadi lebih mudah. Penggunaan internet messenger seperti telegram dapat mempermudah proses integrasi yang dibutuhkan, sehingga pengguna dapat dengan mudah mendapatkan informasi dari sistem. Tujuan penelitian ini yaitu untuk mengembangkan sistem informasi rumah sakit yang terintegrasi dengan bot telegram. Pengujian sistem dilakukan di laboratorium oleh 30 pengguna sebagai pasien dan satu pengguna sebagai administrator. Pengujian sistem menggunakan metode black box dengan fokus pada input, fungsionalitas, dan output untuk semua proses antrian. Bot telegram ini menggunakan bantuan cronjobs dan webhooks untuk mengambil informasi dan menjalankan perintah pengiriman pesan untuk bot telegram. Hasil yang ditunjukkan pada penelitian ini adalah telegram bot yang dirancang untuk diuji menggunakan user acceptance test (UAT) dengan hasil respon yang sangat positif dan dianggap berhasil. Bot telegram ini memfasilitasi pasien dan pekerja rumah sakit untuk mendapatkan informasi dengan segera.]]>
<![CDATA[Performance Evaluation of LSTM and GRU Models for Movie Genre Classification Based on Subtitle Dialogs Using Augmented Data and Cross-Validation ]]>
<![CDATA[Ni Luh Putu Yonita Putri Utami]]>;
<![CDATA[Desy Purnami Singgih Putri]]>;
<![CDATA[Ni Kadek Dwi Rusjayanthi]]>
<![CDATA[ Jurnal Informatika Vol. 12 No. 2 (2025): October ]]>
Publisher : <![CDATA[Universitas Bina Sarana Informatika ]]>
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DOI: 10.31294/
<![CDATA[This study aims to evaluate and compare the performance of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models in classifying movie genres based on subtitle dialogs. To address data imbalance across genres, data augmentation was applied to create balanced datasets with 500 and 700 samples per genre, in addition to the original dataset. The classification models were built using Word2Vec for word embedding, followed by LSTM and GRU architectures with a single hidden layer and dropout regularization. Model performance was assessed using accuracy and further validated through 5-fold cross-validation. The best test accuracy was achieved with the dataset containing 700 samples per genre, reaching 91% for LSTM and 92% for GRU. Cross-validation showed stable performance with average accuracies of 0.68 for LSTM and 0.67 for GRU. A paired t-test analysis yielded a p-value of 0.341, indicating no statistically significant difference between the two models. These findings suggest that both LSTM and GRU are effective for genre classification based on subtitle dialogs. The use of data augmentation is a key contribution of this study, enabling improved model performance on underrepresented genres. This research supports the development of automated movie recommendation systems that utilize subtitle-based genre prediction.]]>
<![CDATA[PENGEMBANGAN UMKM PRODUK EKSPOR ROOM DIVIDER DARI ASPEK PRODUKTIVITAS PRODUKSI ]]>
<![CDATA[I Putu Mega Juli Semara Putra]]>;
<![CDATA[I Dewa Made Endiana]]>;
<![CDATA[Ni Luh Putu Natha Primadewi]]>;
<![CDATA[Ni Kadek Dwi Rusjayanthi]]>
<![CDATA[ KRISNA: Kumpulan Riset Akuntansi Vol. 9 No. 2 (2018): Krisna: Kumpulan Riset Akuntansi ]]>
Publisher : <![CDATA[Faculty of Economics and Business, Universitas Warmadewa ]]>
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DOI: 10.22225/kr.9.2.2018.33-39
<![CDATA[Abstract Science Program for Export Products is done at Diva Lamp located in Banjar Sapat Village Tegalalang Gianyar and OMG Lamp in Banjar Gentong Desa Tegalalang Gianyar Regency. Handicraft products produced in the form of room divider that is various kinds of room and interior partitions made of natural materials. The targeted output outcomes include separation of production space planning and product storefront space because in the production room, the laying of facilities such as machinery and work equipment is more permanent, while the product is more neatly arranged so as to create a representative atmosphere for customers. A good layout will provide larger outputs with the same or fewer costs, smaller man hours, and / or reduced working hours. Output is no less important is the procurement of acrylic printing machine. Procurement is expected to reduce the price of production and the length of time the completion of the product so that the resulting product can compete in the market. Improvements in management, bookkeeping, and marketing are done with the aim that administratively UMKM operational can be better organized so that it is easier in planning process, supervision and decision making. In terms of marketing is expected to add a marketing model so that market share can be absorbed more leverage. Keywords: room divider, room partition]]>
<![CDATA[PENGEMBANGAN UMKM DARI PERSPEKTIF PENGEMBANGAN TEKNOLOGI INFORMASI AKUNTANSI ]]>
<![CDATA[I Putu Mega Juli Semara Putra]]>;
<![CDATA[I Dewa Made Endiana]]>;
<![CDATA[Siluh Putu Natha Primadewi]]>;
<![CDATA[Ni Kadek Dwi Rusjayanthi]]>
<![CDATA[ KRISNA: Kumpulan Riset Akuntansi Vol. 10 No. 2 (2019): Krisna: Kumpulan Riset Akuntansi ]]>
Publisher : <![CDATA[Faculty of Economics and Business, Universitas Warmadewa ]]>
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DOI: 10.22225/kr.10.2.2019.161-167
<![CDATA[The Export Product Development Program (PPPE) is carried out on the Diva Lamp in Banjar Sapat, Tegalalang Village, Gianyar Regency and OMG Lamp located in Banjar Gentong, Tegalalang Village, Gianyar Regency. The craft products produced are room dividers, which are various types of room and interior partitions made from natural materials. The targeted output includes planning the separation of production space and product storefront space because in the production room, laying out facilities such as machines and work equipment is more permanent while the product storefront is more neatly arranged so that it creates a representative atmosphere for the customer. larger output with the same or fewer costs, smaller man hours, and or reduced machine working hours. Procurement is expected to reduce production prices and the length of time for completion of products so that the products produced can compete in the market. Improvements in terms of management, bookkeeping and marketing are carried out with the aim that administratively the operation of MSMEs can be more neatly organized so that it is easier in the process of planning, supervision and decision making. In terms of marketing, it is expected to add to the marketing model so that market share can be absorbed more optimally.]]>
