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All Journal Jurnal Ilmu Komputer (JELIKU) Jurnal Elektronik Ilmu Komputer Udayana Jurnal Pengabdian Informatika (JUPITA) Jurnal Nasional Teknologi Informasi dan Aplikasinya
Ida Bagus Gede Dwidasmara
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PEMBANGUNAN APLIKASI WEBSITE E-COMMERCE DALAM PENINGKATAN PENJUALAN PRODUK PERUSAHAAN PT. BALA BIOTECH INDONESIA Aang Pangantyas Sampurna; Ida Bagus Gede Dwidasmara; Ida Bagus Made Mahendra
Jurnal Pengabdian Informatika Vol. 1 No. 2 (2023): JUPITA Volume 1 Nomor 2, Februari 2023
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

Perkembangan pasar E-Commerce saat ini dapat menjadi alternatif bahkan dapat menggantikan pasar tradisional yang mengharuskan seseorang untuk membeli suatu produk secara offline dengan mengunjungi langsung tempat atau toko yang menjual produk yang mereka ingingkan. E-Commerce memungkinkan pembeli untuk melakukan pembelian suatu produk kapanpun dan di mana pun mereka berada. Salah satu perusahaan yang ingin menerapkan penjualan produk dengan metode E-Commerce yaitu PT. Bala Biotech Indonesia. Perusahaan ini merupakan sebuah startup yang bergerak pada bidang pengolahan limbah sampah dan menghasilkan suatu produk dari hasil olahan tersebut. Perusahaan ini sebelumnya telah mengimplementasikan e-commerce pada website mereka untuk menjadi media promosi dan jual beli, namun website tersebut memiliki beberapa kendala yang mengharuskan untuk proses pembangunan website diulang dari awal kembali. Proses pembangunan ulang website ini melalui 3 tahap, yang pertama yaitu proses analisis kebutuhan aplikasi, kedua yaitu proses perancangan aplikasi, dan yang ketiga proses deployment aplikasi. Dari aplikasi website e- commerce yang telah dibuat kembali, aplikasi tersebut berhasil menjadi media jual beli secara online dan diharapkan dapat meningkatkan penjualan produk yang dihasilkan oleh perusahan PT. Bala Biotech Indonesia.
PEMBUATAN WEBSITE SISTEM INFORMASI DAN GUDANG DATA UNTUK BADAN PUSAT STATISTIK (BPS) KABUPATEN BULELENG Gede Lucky Aldi Arsa; I Putu Gede Hendra Suputra; Ida Bagus Gede Dwidasmara
Jurnal Pengabdian Informatika Vol. 1 No. 2 (2023): JUPITA Volume 1 Nomor 2, Februari 2023
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

Pandemi virus korona yang terjadi pada 2019 mengakibatkan perubahan pada kegiatan manusia salah satunya adalah kegiatan dalam instansi negara yakni Badan Pusat Statistik (BPS) kabupaten Buleleng dalam melakukan kegiatan pencatatan dan kegiatan yang berkaitan dengan statistik yang mengalami hambatan karena keterbatasan kegiatan yang telah di atur oleh pemerintah pusat dan daerah. Keterbatasan kegiatan yang di alami oleh Badan Pusat Statistik (BPS) mengakibatkan perlunya sebuah wadah yang digunakan oleh BPS agar dapat melakukan kegiatan statistik dan pengumpulan data yang dapat di akses oleh setiap jajaran dengan keterbatasan dan akses user yang berbeda beda, melalui perancangan website tersebut dapat membatu BPS dalam melaksanakan tugas dan perannya di tengah pandemi Covid-19. Website ini memungkinkan penggunanya untuk dapat melakukan penguploadan data dan tugas yang nantinya bisa berupa data yang biasanya masih perlu untuk di lakukan pengolahan terlebih dahulu sebelum dapat menjadi data yang dapat disebar luaskan di masyarakat.
PENGEMBANGAN KONSEP DAN PEMBAHARUAN SISTEM BOOKING ORDER BERBASIS ODOO DI PT. HASHMICRO SOLUSI INDONESIA I Putu Agus Arya Wiguna; I Gusti Ngurah Anom Cahyadi Putra; Ida Bagus Gede Dwidasmara
Jurnal Pengabdian Informatika Vol. 2 No. 2 (2024): JUPITA Volume 2 Nomor 2, Februari 2024
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

The problems commonly encountered by users in a booking order system are often related to the use of a complex or non-intuitive interface, which can result in a poor user experience. Difficulties in navigating the system, filling out order forms, or identifying the appropriate options can lead to high order cancellations and conversion failures. Furthermore, a major issue is inaccurate availability. When the system is not updated in real-time or fails to synchronize with the actual inventory, there is a risk of accepting orders when the product stock is already depleted. To address these issues, it is proposed to design a website based on Odoo for creating the booking order system. Odoo is designed with an intuitive and easily understandable user interface. Additionally, an Odoo-based website is supported by a powerful inventory module, allowing efficient management and tracking of existing inventory, as well as accurate management of product deliveries to avoid inventory shortages or overstocking.
SISTEM PENCATATAN ABSENSI UNTUK PEGAWAI MAGANG, NON ASN, ATAU MAHASISWA PKL BERBASIS WEB DI BADAN PENDAPATAN DAERAH KABUPATEN BADUNG Nikola, Nanda; Ida Bagus Gede Dwidasmara
Jurnal Pengabdian Informatika Vol. 2 No. 3 (2024): JUPITA Volume 2 Nomor 3, Mei 2024
Publisher : Jurusan Informatika, Fakultas Matematika dan Ilmu Pengetahuan Alam, Universitas Udayana

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Abstract

Penggunaan absensi kertas untuk pegawai yang belum terdaftar di catatan kepegawaian di Badan Pendapatan Daerah Kabupaten Badung menyebabkan beberapa kendala, seperti ketidakakuratan data dan kesulitan dalam pemrosesan absensi. Oleh karena itu, dalam penelitian ini, sebuah sistem pencatatan absensi berbasis web diusulkan sebagai solusi untuk mengatasi masalah tersebut. Tujuan utama dari penelitian ini adalah untuk mengembangkan sebuah sistem pencatatan absensi yang efisien, dan dapat diakses secara online. Sistem ini ditujukan untuk pegawai magang, non ASN, atau mahasiswa PKL yang bekerja di Badan Pendapatan Daerah Kabupaten Badung. Metode pengembangan sistem melibatkan analisis kebutuhan pengguna, desain antarmuka, pengembangan basis data, dan implementasi fitur-fitur yang relevan. Sistem ini memberikan kemudahan bagi pegawai magang, non ASN, atau mahasiswa PKL dalam mencatat kehadiran mereka dengan menggunakan perangkat elektronik yang terhubung dengan internet. Fitur utama yang disediakan oleh sistem ini antara lain pendaftaran pengguna, pencatatan kehadiran harian, pemrosesan dan penyimpanan data absensi, serta laporan absensi yang dapat diakses secara real-time.
Perancangan Tampilan Antarmuka pada Aplikasi Selfqure dengan Menerapkan Metode Design Thinking I Gede Arisudana Samanjaya; Ida Bagus Gede Dwidasmara
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.p19

Abstract

Mental health disorders in adolescents are influenced by factors such as social pressure, identity exploration, violence, harsh parenting, and socio-economic problems. The lack of understanding and stigma surrounding mental health issues often leads adolescents to avoid discussing their problems, resulting in potential risks to their well-being. To address this, the development of mobile applications like "Selfqure" focuses on providing information and treatment for mental health problems in adolescents. By utilizing design thinking principles, the application aims to enhance user experience and interface, increase understanding, reduce stigma, and improve access to support. Usability testing of the app yielded a score of 82, indicating satisfactory acceptance and usability among the target age group. This highlights the importance of innovative solutions to tackle mental health challenges and promote well-being in adolescents. 
Sistem Rekomendasi Game dengan Metode K-Nearest Neighbor (KNN) I Putu Marcel WIguna; Ida Bagus Gede Dwidasmara
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.p28

Abstract

The rapid growth of the gaming industry has resulted in an overwhelming number of game titles available to users. However, the abundance of choices makes it challenging for users to find games that match their preferences and interests. To address this issue, this research paper focuses on the development of a game recommendation system. The goal is to create an effective system that assists users in discovering games that align with their tastes and enhances their gaming experience.In this study, the K-Nearest Neighbor (KNN) method is employed as the underlying algorithm for the game recommendation system. The KNN method is a popular machine learning technique known for its ability to classify data based on similarities.This allows the system to recommend games that are likely to be of interest to users based on their preferences and the characteristics of games they have previously enjoyed. This research contributes to the field by showcasing the potential of the K-Nearest Neighbor (KNN) method in developing an efficient game recommendation system. The system's capability to assist users in discovering engaging games tailored to their interests has implications for improving user experience and driving game sales 
Perbandingan RFE dan SelectKbest untuk Klasifikasi Penyakit Diabetes dengan Random Forest Gede Brandon Abelio Ogaden; Ida Bagus Gede Dwidasmara
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 3 (2025): JNATIA Vol. 3, No. 3, Mei 2025
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.2025.v03.i03.p19

Abstract

Diabetes is a condition that happens in our metabolic system characterized by high level of blood sugar or known as hyperglycemia. Hyperglycemia can either be caused by auto immune insulin destruction problems or insulin resistance in the body. According to World Health Organization, nearly 350 million people suffers from diabetes. Several unwanted side effects can occur from diabetes such as blindness, amputation, and kidney failures if they aren’t aware of the disease. Sadly, not many people know the dangers of diabetes. Therefore, a machine that can accurately and efficiently classify diabetes from its symptoms is our top priorities. On this research SelectKBest feature selection when paired with Random Forest Algorithm is fairly accurate at classifying and predicting diabetes with accuracy and recall value of 0.72 each. 
Sistem Pendukung Keputusan Kesehatan Mental Mahasiswa Menggunakan Metode SAW Berbasis Web Azra Aaliyah Seisha Sybille; Ida Bagus Gede Dwidasmara
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 3 (2025): JNATIA Vol. 3, No. 3, Mei 2025
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.2025.v03.i03.p20

Abstract

This study presents the development of a web-based decision support system (DSS) utilizing the Simple Additive Weighting (SAW) method to evaluate student mental health based on the SRQ- 20 questionnaire. Data collected via the questionnaire were processed using SAW to determine relative criterion weights. The DSS aims to assist educational institutions in supporting student mental well-being by identifying those needing attention. Results reveal that out of 10 sampled students, 8 experienced mental health distress. The SAW method effectively ranked students based on mental health conditions, offering insights for intervention strategies. The study concludes that the implementation of SAW in the DSS proved effective in identifying mental health concerns among students, highlighting the importance of proactive measures in supporting their well-being within academic settings. Further research may explore alternative methods to enhance decision-making processes regarding student mental health. 
Analisis Sentimen Ulasan Aplikasi M-Paspor Menggunakan TF-IDF dan Support Vector Machine Ni Luh Putu Happy Nirmala; Ida Bagus Gede Dwidasmara
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 2 (2025): JNATIA Vol. 3, No. 2, Februari 2025
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.2025.v03.i02.p23

Abstract

In the era of globalization, getting a passport has become an essential requirement as an official document for international travel. The Directorate General of Immigration introduced M-Paspor, a new application with more than 1 million downloads and 29 thousand reviews on the Google Play Store. This research aims to analyze the sentiments of Indonesian people using the MPaspor application using the Support Vector Machine and TF-IDF methods for weighting, as well as evaluating the model with K-fold Cross Validation in Google Colab with the Python programming language. The SVM method was chosen because of its ability to achieve high classification accuracy, while feature extraction was carried out using the TF-IDF method to determine the weight of the words in the review. The dataset consists of 3,000 review data, with 1,500 negative sentiment review data and 1,500 positive sentiment review data, which underwent a series of preprocessing stages, namely noise removal, case folding, tokenization, normalization, stopwords removal, and stemming. The SVM model used to analyze and get the best combination of parameters C:1, gamma:scale, with the kernel:rbf. Evaluation of the model with K-Fold Cross Validation shows an average accuracy of 83.62%, precision of 84.7%, recall of 83.65%, and F1 score of 83.51% 
Analisis Sentimen Ulasan Aplikasi Citilink Menggunakan Metode Support Vector Machine dengan TF-IDF David Brave Moarota Zebua; Ida Bagus Gede Dwidasmara
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 3 No. 2 (2025): JNATIA Vol. 3, No. 2, Februari 2025
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.2025.v03.i02.p24

Abstract

In line with the advancement of the Industry 4.0 era, Indonesian society has been living side by side and is inseparable from the existing technological advancements. One of the conveniences experienced by today's society is that transactions no longer need to be conducted face-to-face in a particular place but can now be done online. In the context of air transportation, technological advancements have been very helpful to the public. Airline applications are one of the most widely used by passengers. In this study, the researchers focused on analyzing public sentiment towards the Citilink application, one of Indonesia's leading airlines. The researchers used the Support Vector Machine (SVM) method enhanced with TF-IDF (Term Frequency-Inverse Document Frequency) text representation to analyze sentiment from user reviews. The stages of this research began with data collection containing reviews from the Citilink application to analyze its sentiment. Then, it proceeded to the data preprocessing stage, where the collected data was cleaned until it became tokens ready for testing. After that, it moved to the weighting stage using Term Frequency-Inverse Document Frequency (TF-IDF). Then it continued to the stage of applying the Support Vector Machine (SVM) model. The last one is the evaluation to measure the accuracy level of the model used. Based on the results of this study, it can be concluded that the Support Vector Machine model that has been adapted to the dataset of Citilink application reviews from Google Playstore and supported by TF-IDF feature extraction successfully classified the sentiment of reviews with high accuracy, reaching 88%. Further evaluation also showed satisfactory values of precision, recall, and F1-Score, namely 90%, 83%, and 85%, respectively. This study shows that the Support Vector Machine model can be an effective instrument in understanding user responses to the performance of the Citilink application. 
Co-Authors Aang Pangantyas Sampurna Agus Muliantara Amsal Hamonangan Butarbutar Anak Agung Istri Ngurah Eka Karyawati Andy Bastian Fauzi Azra Aaliyah Seisha Sybille Butarbutar, Amsal Hamonangan Catur Ragil Putra Nanda Citarsa, Ida Bagus Satrya Masyana Cokorda Rai Adi Pramartha David Brave Moarota Zebua Dewi, Ayu Made Surya Indra Dewi, Ni Putu Mira Novita Dharma Wibawa, I Made Bayu Dimas Firmansyah Dr. Made Agung Raharja Ferry Mahayudha, I Gusti Ngurah Bagus Firmansyah, Dimas Gede Brandon Abelio Ogaden Gede Lucky Aldi Arsa Gusti Ngurah Deva Wirandana Putra I Dewa Made Bayu Atmaja Darmawan I Gede Arisudana Samanjaya I Gede Arta Wibawa I Gede Ngurah Arya Wira Putra I Gede Rizki Heriana Prayoga I Gede Santi Astawa I Gusti Agung Gede Arya Kadyanan I Gusti Ngurah Anom Cahyadi Putra I Gusti Ngurah Bagus Ferry Mahayudha I Kadek Gowinda I Ketut Gede Suhartana I Made Widiartha I Made Widiartha I Putu Agus Arya Wiguna I Putu Gede Hendra Suputra I Putu Marcel Wiguna I Putu Ryan Paramaditya I Wayan Pande Putra Yudha I WAYAN SANTIYASA I Wayan Supriana Ida Ayu Taria Putri Mahadewi Ida Bagus Made Mahendra Ida Bagus Made Mahendra Ida Bagus Satrya Masyana Citarsa Jhordi, Rafif Kadek Dwitya Adhi Pradyto Kameliya Putri Mahadewi, Ida Ayu Taria Putri Muhammad Husein Nanda, Catur Ragil Putra Ngurah Agus Sanjaya ER Ni Kadek Evi Dianasari Ni Luh Putu Ayu Siwastuti Cayadewi Ni Luh Putu Happy Nirmala Nikola, Nanda Permana, I Gede Teguh Prashanti, Ni Putu Vidya Vira Pratama, Fahmi Ahmad Arum Prayoga, I Gede Rizki Heriana Putra, Fathiyarizq Mahendra Putra, I Gusti Ngurah Agung Widiaksa Putri, I Gusti Ayu Widiantari Putu Chandra Mayoni Raharja, Made Agung Samanjaya, I Gede Arisudana Sandi, Wijaya Kusuma Saraswati, I Gusti Agung Istri Bianca Githa Sentana, I Putu Bagus Merta Ubaidillah, Muhammad Afif Wiguna, I Putu Marcel Wira Putra, I Gede Ngurah Arya Yasa, I Ketut Gede Udha Krisna