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All Journal Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Pendidikan Teknologi dan Kejuruan JUTI: Jurnal Ilmiah Teknologi Informasi JOIV : International Journal on Informatics Visualization SINTECH (Science and Information Technology) Journal Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
I Putu Gede Hendra Suputra
Universitas Udayana
Humanities Computer Science & IT Dentistry Education Engineering Languange, Linguistic, Communication & Media Library & Information Science Other

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SISTEM ANALISIS SENTIMEN TERHADAP APLIKASI SIGNAL-SAMSAT DIGITAL NASIONAL I Ketut Oning Pusparama; I Putu Gede Hendra Suputra
Jurnal Pengabdian Informatika Vol. 4 No. 2 (2026): JUPITA Volume 4 Nomor 2, Februari 2026
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

Perkembangan teknologi informasi telah mendorong hadirnya inovasi layanan publik berbasis digital, salah satunya aplikasi SIGNAL (Samsat Digital Nasional) yang memudahkan masyarakat dalam pembayaran pajak kendaraan bermotor secara online. Seiring meningkatnya jumlah unduhan dan ulasan di Google Play Store, banyak pengguna memberikan tanggapan positif maupun negatif terkait aplikasi ini. Analisis sentimen dilakukan untuk mengetahui kecenderungan opini publik terhadap aplikasi SIGNAL. Dengan dibangunnya sebuah sistem analisis sentimen diharapkan mampu untuk memberi gambaran tentang bagaimana performa dari aplikasi SIGNAL. Dirancangnya sistem analisis sentimen ini juga diharapkan dapat dijadikan acuan untuk perancangan sistem kedepannya yang berguna untuk meningkatkan pelayanan yang diberikan kepada masyarakat.
PEMBANGUNAN FITUR APLIKASI DATA REKONSILIASI PADA BANK A Albert Okario; I Putu Gede Hendra Suputra; Made Agung Raharja
Jurnal Pengabdian Informatika Vol. 4 No. 1 (2025): JUPITA Volume 4 Nomor 1, November 2025
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

Rekonsiliasi bank adalah proses krusial dalam manajemen keuangan yang bertujuan untuk memastikan konsistensi antara catatan keuangan internal perusahaan dan catatan yang disediakan oleh bank. Proses ini melibatkan verifikasi dan pencocokan transaksi yang tercatat dalam buku besar perusahaan dengan laporan rekening koran dari bank, serta identifikasi dan penyelesaian ketidaksesuaian. Rekonsiliasi bank membantu mendeteksi kesalahan pencatatan, transaksi yang belum tercatat, cek yang belum dicairkan, dan potensi kecurangan. Dengan melakukan rekonsiliasi secara rutin, perusahaan dapat menjaga keakuratan dan integritas data keuangan, mendukung pengambilan keputusan yang lebih baik, dan memastikan kelancaran operasional keuangan. Selain itu, rekonsiliasi bank memainkan peran penting dalam memenuhi persyaratan audit dan regulasi keuangan. Artikel ini membahas langkah-langkah dalam proses rekonsiliasi bank, termasuk verifikasi saldo awal, pencatatan transaksi, pencocokan transaksi, identifikasi dan penyelesaian perbedaan, serta pencatatan saldo akhir. Kemajuan teknologi dan perangkat lunak akuntansi modern telah meningkatkan efisiensi dan akurasi proses rekonsiliasi bank, sehingga membantu perusahaan dalam menjaga transparansi dan keandalan laporan keuangan mereka.
Evaluasi UI pada Prototype Aplikasi “WeCare” Menggunakan Metode SUS (System Usability Scale) Hammam Akmal Prathama; I Putu Gede Hendra Suputra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 1 (2023): JNATIA Vol. 2, No. 1, November 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2023.v02.i01.p15

Abstract

The user interface is one of the most important factors in building an application. A good user interface has aspects of clarity, conciseness, easy recognition, responsiveness, consistency and has aesthetic content. Without careful preparation and design, certain applications cannot run optimally, and can even cause users to switch to other applications. To evaluate the user interface of an application, we can use many methods. One of them is SUS (System Usability Scale). This method provides a “quick and dirty”, reliable tool for measuring usability. The purpose of this study is to evaluate the quality of the User Interface design on the WeCare Application. Evaluation of the quality of the User Interface design will be carried out using the SUS or System Usability Scale method. Evaluation of quality on the usability aspect is carried out using the SUS questionnaire as an assessment standard. The results of this assessment will determine whether the UI design of the WeCare Application is appropriate or not. Based on the survey conducted, the calculation of the usability value of the WeCare application UI design that was tested using the SUS (System Usability Scale) method obtained an average SUS score of 78,33. By obtaining acceptability ranges in the acceptable category, the grade scale is in class B, and adjective rating is in the good category. 
Analisa Rancangan Desain Antarmuka Aplikasi LibrarySense Menggunakan System Usability Scale Gagas Pradipta Jatmiko; I Putu Gede Hendra Suputra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 1 (2024): JNATIA Vol. 3, No. 1, November 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v03.i01.p16

Abstract

The comfort of the library plays a crucial role in supporting learning activities. Temperature that is too hot or too cold, high levels noise, or the presence of smoke can affect the focus and effectiveness of learning for library users. LibrarySense is an application that utilizes wireless sensor network to monitor the environmental conditions of the library in real-time. The application is designed to assist library managers in improving operational efficiency and facility management, as well as enhancing user experience. The System Usability Scale (SUS) method is employed to evaluate the usability of the application. Literature review is conducted to understand the context of implementing SUS, while user interface design is carried out through wireframing and high-fidelity design. Usability testing is conducted using SUS questionnaires distributed to respondents. The research findings indicate that the LibrarySense application achieves an average SUS score of 81.74, indicating a high level of user satisfaction with usability and user experience. This suggests that the LibrarySense application has the potential to enhance the quality of the library environment and support managers in making more informed decisions. 
Analisis Sentimen Ulasan Aplikasi GoTube Menggunakan Naive Bayes Berbasis Particle Swarm Optimization Maedelien Tiffany Kariesta Simatupang; I Putu Gede Hendra Suputra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 4 (2024): JNATIA Vol. 2, No. 4, Agustus 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v02.i04.p14

Abstract

This research employs the sentiment analysis of GoTube application reviews using Naïve Bayes based on Particle Swarm Optimization (PSO). The study focuses on addressing the challenge of efficiently managing and analyzing user comments in the development of the GoTube application. By implementing automated sentiment analysis using text mining techniques, developers can enhance user experience and save resources. The methodology involves data collection, preprocessing, feature extraction using TF-IDF, classification using Naïve Bayes, and evaluation with various parameters. Additionally, Particle Swarm Optimization is utilized for feature selection to enhance the performance of the Naïve Bayes Classifier. The study aims to contribute to the improvement of GoTube's service quality and user satisfaction. 
Perbandingan Neural Network MLP, KNN, dan Decision Tree untuk Klasifikasi Penyakit Diabetes I Made Prenawa Sida Nanda; I Putu Gede Hendra Suputra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 3 (2024): JNATIA Vol. 2, No. 3, Mei 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v02.i03.p18

Abstract

Diabetes is one of the diseases that has received global attention due to its extensive impact on public health. Most people with diabetes are unaware that they are suffering from this condition, this situation emphasizes the need for improved understanding and more effective treatment of this disease. In an effort to address these challenges, this study compares three machine learning algorithms for diabetes classification, the three algorithms are: Multi-Layer Perceptron (MLP), KNearest Neighbor (KNN), and Decision Tree. Data from the Diabetes Dataset used to train and test these models will go through preprocessing first starting from data cleaning, encoding because there is string data, data distribution analysis where in this study using under sampling to equalize data and normalization using min-max normalization, Evaluation results using Confusion Matrix and Classification Report which contains precision, recall, and f1-score the results of this evaluation show that the Neural Network MLP model achieves the highest accuracy of 90.48%, followed by KNN with 88.15% accuracy, and Decision Tree with 87.24% accuracy. These findings provide important insights in selecting the optimal model for diabetes prediction applications. 
Perancangan Model Ontologi untuk Sistem Pencarian Sepeda Motor Bekas I Kadek Dwi Adnyana; I Putu Gede Hendra Suputra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 2 No. 2 (2024): JNATIA Vol. 2, No. 2, Februari 2024
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2024.v02.i02.p14

Abstract

Motorcycles are a means of transportation that people often use to meet their daily needs. However, not everyone can afford to buy a new motorbike, so many people are switching to used motorbikes. Finding a used motorcycle that suits your needs can be a difficult challenge for some people and of course there are many factors that must be considered. The solution that can be done for this problem is to use the semantic ontology model with the Methodology method. The design of the ontology model of used motorcycle products uses the protégé application, the ontology model is developed into a structure in protégé with a hierarchical structure of classes, slots, properties, etc. Used motorcycle product ontology development model produces 13 classes, 5 object properties, 5 data properties, and 68 individuals or instances in each class. The ontology evaluation process by performing SPARQL queries is used to get the appropriate results. 
Analisis Celah Keamanan Jaringan WPA dan WPA2 dengan Menggunakan Metode Penetration Testing Albert Okario; I Putu Gede Hendra Suputra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 4 (2023): JNATIA Vol. 1, No. 4, Agustus 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2023.v01.i04.p14

Abstract

With the rapid development of communication and information technology, wireless local area network (WLAN) security has become crucial and a major concern, as data traffic is transmitted without the need for cables. Internet-connected network devices are inherently insecure and can be exploited by crackers or hackers. When data communicates or connects in the data traffic, where data is sent and passes through a series of terminals to reach its destination, an irresponsible user has the opportunity to modify or intercept the data. Therefore, designing a WLAN network connected to the internet must be carefully planned to minimize undesirable incidents. The weakness of the IEEE 802.11 network that uses WEP encryption tends to make the encryption code more easily discoverable by hackers. Based on the aforementioned background, we conducted this research to identify vulnerabilities or security flaws in WPA and WPA2-PSK networks using penetration testing methods. 
Analisa UI dalam Perancangan Aplikasi Ekspor Hasil Laut “FishGo!” dengan Metode SUS Ketut Agus Cahyadi Nanda; I Putu Gede Hendra Suputra
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 1 No. 3 (2023): JNATIA Vol. 1, No. 3, Mei 2023
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2023.v01.i03.p14

Abstract

This research discusses the development of the Fish Go! application, which aims to facilitate fishermen in finding market opportunities, particularly within the business sector. The author identifies several challenges faced by fishermen in terms of marketing and selling their catch. Additionally, there are opportunities to meet the demand for marine products in the tourism sector in Indonesia. The Fish Go! application seeks to integrate fishermen and the business sector into a single digital platform, with the goal of expanding the fishermen's market reach and providing convenience for buyers in obtaining fresh and high-quality seafood. This research involves a literature study to gain a deeper understanding of application interface analysis and usability in general. The User Journey Map method is used to identify the problems faced by potential users of the Fish Go! application. The usability testing phase is conducted using the System Usability Scale (SUS) method, involving the distribution of questionnaires to 20 respondents. The quantitative data obtained from the SUS scores indicate that the Fish Go! application has a good level of usability and is suitable for further development, with an average SUS score of 84, exceeding the average threshold for usability testing. The results of this research show that the Fish Go! application has the potential to support partnerships between fishermen and the business sector in utilizing marine resources in Indonesia. By leveraging technology and digital platforms, it is expected to improve efficiency and provide broader market opportunities for fishermen, while also meeting the demand of the business sector for fresh and high-quality seafood. 
SISTEM TEMU KEMBALI INFORMASI UNTUK MENDUKUNG LAYANAN FREQUENTLY ASKED QUESTIONS (FAQ) PADA PLATFORM SISTEM INFORMASI TERINTEGRASI I Putu Gede Hendra Suputra; I Made Widhi Wirawan; Desak Ketut Puri Trisnantya Aji; Anak Agung Sinta Trisnajayanti
Jurnal Pendidikan Teknologi dan Kejuruan Vol. 22 No. 2 (2025): Edisi Juli 2025
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jptk-undiksha.v22i2.103634

Abstract

Perkembangan sistem informasi di Universitas Udayana semakin pesat, ditandai dengan hadirnya IMISSU sebagai portal utama yang mengintegrasikan lebih dari 100 sistem informasi untuk mendukung berbagai kebutuhan operasional kampus. IMISSU digunakan oleh ±33.000 civitas akademika, sehingga kualitas layanan harus tetap terjaga. USDI (Unit Sumber Daya Informasi) sebagai pengelola IMISSU menyediakan layanan bantuan daring melalui aplikasi usercare dan email untuk menjawab pertanyaan pengguna. Namun, banyaknya pertanyaan yang berulang dan cenderung mirip satu sama lain menyebabkan operator harus memberikan jawaban yang sama berkali-kali, sehingga mengurangi efisiensi layanan. Solusi awal berupa FAQ (Frequently Asked Questions) membantu, tetapi jumlah pertanyaan yang semakin banyak dan serupa membuat pencarian jawaban menjadi sulit bagi pengguna. Penelitian ini bertujuan mengembangkan mesin temu kembali informasi (Information Retrieval/IR) yang mampu menampilkan jawaban FAQ sesuai dengan query pengguna. Sistem dibangun menggunakan metode TF-IDF dan Cosine Similarity dengan modifikasi pembobotan kata kunci untuk meningkatkan relevansi hasil. Kebaharuan dari penelitian ini terletak pada penentuan kata kunci dan pembobotan TF-IDF yang baru berdasarkan kata kunci, sehingga kata penting memiliki bobot lebih tinggi dibanding kata biasa, dengan harapan meningkatkan akurasi pencarian jawaban FAQ. Proses pengujian dilakukan terhadap 118 kalimat jawaban FAQ dengan menggunakan 20 query acak dengan pendekatan top-1 retrieval, yaitu hanya jawaban peringkat pertama yang dievaluasi. Hasil pengujian menunjukkan bahwa sistem mencapai precision sebesar 90%, recall sebesar 100%, F1-score sebesar 94,7%, dan akurasi sebesar 90%. Hasil ini menunjukkan sistem mampu memberikan hasil yang baik, meskipun masih terdapat ruang untuk meningkatkan precision dengan mengimplementasikan metode tambahan pada tahap pemrosesan atau pemeringkatan.
Co-Authors Adnyana, I Kadek Dwi Agus Muliantara Agus Zainal Arifin Agustiana, Ni Putu Arisya Aji, Desak Ketut Puri Trisnantya Albert Okario Anak Agung Istri Ngurah Eka Karyawati Anak Agung Sinta Trisnajayanti Anak Agung Sinta Trisnajayanti Anny Yuniarti Ari Wilani, Ni Made Desak Ketut Puri Trisnantya Aji Desak Ketut Puri Trisnantya Aji Era Wahyuni Gagas Pradipta Jatmiko Gde Deva Dimastawan Saputra Gede Aditra Pradnyana Gede Gery Sastrawan Gede Lucky Aldi Arsa Gede Sukadarmika Gorianto, Frisca Olivia Hammam Akmal Prathama Hapsari, Ni Made Alisya Putri Hendrawan, Made Chandra I Dewa Made Bayu Atmaja Darmawan I Dewa Made Bayu Atmaja Darmawan, I Dewa Made Bayu I Gede Arisudana Samanjaya I Gede Arta Wibawa I Gede Ngurah Arya Wira Putra I Gede Santi Astawa I Gede Surya Rahayuda I Gusti Agung Gede Arya Kadyanan I Gusti Ngurah Anom Cahyadi Putra I Kadek Agus Andika Putra I Kadek Dwi Adnyana I Kadek Dwika Pradnyana I Ketut Gede Suhartana I Ketut Gede Suhartana I Ketut Kusuma Merdana I Ketut Oning Pusparama I Komang Kumara Saduadnyana I Made Agus Setiawan I Made Prenawa Sida Nanda I Made Prenawa Sida Nanda I Made Widhi Wirawan I Made Widiartha I Made Widiartha I Ngurah Komang Agus Suryadiyatmika. S I Putu Agus Wahyu Wirakusuma Putra I Putu Dana Putra I Wayan Supriana Ida Ayu Gde Suwiprabayanti Putra Ida Bagus Gede Dwidasmara Ida Bagus Gede Dwidasmara Ida Bagus Gede Sarasvananda Ida Bagus Made Mahendra Ida Bagus Weda Baskara Adi Putra Indra Permana Putra Ketut Agus Cahyadi Nanda Kevin Moses Waleleng Khaerul Anwar Kompiang Gede Sukadharma Lidya Elisabet Theogracia Silitonga Linawati Linawati Linawati Luh Arida Ayu Rahning Putri Luh Gede Astuti Made Widiartha Maedelien Simatupang Maedelien Tiffany Kariesta Simatupang Maheswara, Pande Putu Devo Punda Mohammad Rizky Kustiadie Nanda, Ketut Agus Cahyadi Ngurah Agus Sanjaya ER Ni Made Alisya Putri Hapsari Ni Made Wipra Ranum Ratnayu Ni Putu Subhasini Dewi Sukma Ni Wayan Anti Andari Nyoman Putra Sastra Okario, Albert Pitoy, Pingkan Anggriani Prathama, Hammam Akmal Prebiana, Kiki Dwi Putra, I Putu Dana Putri, Audini Nifira Putu Risky Andrean Raharja, Made Agung Sida Nanda, I Made Prenawa Simarmata, Ivan Luis Simatupang, Maedelien Tiffany Kariesta Sukadarmika, I Gede Tirtana Putra, Made Arya Trisnajayanti, Anak Agung Sinta Tristan Bey Kusuma Yuda, Putu Agus Prawira Dharma