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All Journal Buletin Udayana Mengabdi Jurnal Media Infotama INFORMAL: Informatics Journal WIDYABHAKTI Jurnal Ilmiah Populer Journal of Computer Science and Informatics Engineering (J-Cosine) International Journal of Engineering and Emerging Technology Jurnal Mandiri IT Journal of Social Work and Empowerment Galaksi KOMET
Iskandar, Adi Panca Saputra
STMIK STIKOM Indonesia
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Innovative UI/UX Analysis of Cooperative Apps through Design Thinking Fanani, Rizki Dwi; Wiguna, I Komang Arya Ganda; Iskandar, Adi Panca Saputra; Parwita, Wayan Gede Suka
Jurnal Galaksi Vol. 1 No. 1 (2024): Galaksi - May 2024
Publisher : Yayasan Sraddha Panca Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/galaksi.v1i1.4

Abstract

Radha Krisna Savings and Loan Cooperative operates as an entity affiliated with Krisna Holding Company, more commonly referred to as Krisna Oleh-oleh. Although Radha Krisna Savings and Loan Cooperative has been in operation since 2010, it did not begin utilising a desktop application as its information system until 2014. This application has since been employed to facilitate a variety of transaction processes. The issue at the Radha Krisna Savings and Loan Cooperative is that the utilised application has begun to fail to support user requirements for transactions, as certain menus, features, user interface, and user experience continue to fall short of user expectations. In light of this issue, it is imperative to conduct an analysis of the collaborative application and construct a prototype that satisfies the diverse requirements of users, serving as a benchmark for the improvement of forthcoming applications. Utilising the Design Thinking method, prototype development consists of the following phases: Emphasise, Define, Ideate, Prototype, and Test. Figma is the instrument utilised for prototyping. A User Experience Questionnaire (UEQ) is administered to a sample of eight managers from the Radha Krisna Savings and Loan Cooperative as part of the testing phase. Based on the Benchmark Data, the average value for the attractiveness scale is 2.01 (Excellent), the average value for clarity is 2.31 (Excellent), the average value for efficiency is 1.91 (Excellent), the average value for accuracy is 1.81 (Excellent), the average value for stimulation is 2.06 (Excellent), and the average value for novelty is 1.94 (Excellent).
Edukasi Ekonomi Kreatif Berbasis Lokal Budaya untuk Meningkatkan kreatifitas dan inovasi Pada SD Negeri 7 Kesiman Denpasar Pramawati, I Dewa Ayu Agung Tantri; Pande, Ni Kadek Nita Noviani; Iskandar, Adi Panca Saputra; Supartha, I Kadek Dwi Gandika; Wulantari, Ni Putu Ayu Siska
Jurnal KOMET Vol 1 No 3 (2025): Jurnal Komet: Kolaborasi Masyarakat Berbasis Teknologi : INPRESS Volume 1 Nomor 3
Publisher : Yayasan Sinergi Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/komet.v1i3.49

Abstract

Pada era digital seperti sekarang ini, penggunaan metode pembelajaran eksperimental /pengalaman telah menjadi hal yang umum dalam dunia pendidikan. Ekonomi kreatif juga diakui dan diapresiasi oleh dunia internasional. PBB memandang ekonomi kreatif sebagai bagian penting dari pembangunan berkelanjutan, karena sektor ini dapat memberikan kontribusi positif terhadap pertumbuhan ekonomi, pembangunan sosial dan budaya, serta keberlanjutan lingkungan. Di Indonesia, pemerintah telah mengakui pentingnya pengembangan ekonomi kreatif sebagai salah satu sektor yang memiliki potensi besar untuk meningkatkan pertumbuhan ekonomi. dalam Peraturan Presiden Nomor 44 Tahun 2021 tentang Pengembangan Ekonomi Kreatif Nasional, yang bertujuan untuk meningkatkan daya saing dan kontribusi ekonomi kreatif dalam perekonomian nasional. SD Negeri 7 Kesiman di Denpasar memiliki kesempatan untuk meningkatkan kreativitas dan inovasi siswa melalui edukasi ekonomi kreatif berbasis lokal budaya. Melalui integrasi praktik ekonomi kreatif dengan warisan budaya Bali, seperti pertanian tradisional yang diperkenalkan oleh Taman Wisata Budaya Kerthalangu, sekolah dapat menciptakan lingkungan pembelajaran yang memadukan nilai-nilai lokal dengan konsep-konsep ekonomi kreatif. Tantangan yang dihadapi termasuk keterbatasan sumber daya, kurangnya pengalaman (experience) dan pengetahuan serta tingkat keterlibatan komunitas dan orang tua. Namun, dengan pendekatan yang holistik, kolaborasi dengan komunitas lokal, dan pengembangan kurikulum yang relevan, sekolah dapat menciptakan pengalaman pembelajaran yang memungkinkan siswa untuk mengembangkan keterampilan kreatif, inovatif, dan praktis yang terkait dengan ekonomi kreatif lokal.
Rancang Bangun Sistem Informasi Pengajuan Surat Fakultas Teknik Universitas Udayana Berbasis Website menggunakan Metode Scrum Sibuea, Dwik Andarilas; Pratama, I Nyoman Natha; Sitorus, David Samuel; Suyadnya, I Made Arsa; Iskandar, Adi Panca Saputra; Utami, Komang Sri
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.8162

Abstract

Fakultas Teknik Universitas Udayana (FT UNUD) still uses a manual system for letter submission, resulting in delays in delivering information to students and increasing the workload of administrative staff. Additionally, this manual system often causes errors in record-keeping and makes it difficult to track the submission status. To address this issue, the Sistem Informasi Pengajuan Surat (SIPS), a web-based letter submission system integrated with SIMAK-NG, was developed using the Scrum method. The development was carried out iteratively through several sprints, covering requirements analysis, system design, implementation, testing, and evaluation. Testing using the Black Box Testing method showed that all features in SIPS functioned according to the designed specifications. With this system, the letter submission process is expected to become faster, more structured, and more efficient. Moreover, SIPS allows students to monitor the status of their submissions in real-time, enhancing the transparency of administrative services. SIPS also supports document digitalization, helping to reduce paper usage and improve the effectiveness of academic data management. However, further evaluation is needed to assess the system's impact on operational efficiency and user satisfaction to ensure the optimization of academic services at FT UNUD. In the future, this system can continue to be developed with additional features, such as automated notifications and integration with other academic services.
Comparison of random forest and SVM methods in sentiment analysis about electric cars in Indonesia Pratistha, Indra; Iskandar, Adi Panca Saputra; Lanang, Eugenius Gene Rangga; Dewi, Ni Wayan Jeri Kusuma
Jurnal Mandiri IT Vol. 14 No. 1 (2025): July: Computer Science and Field.
Publisher : Institute of Computer Science (IOCS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35335/mandiri.v14i1.424

Abstract

This study examined public sentiment toward electric vehicles (EVs) in Indonesia, where the adoption of EVs reached 28,188 registered units in 2023. The research analyzed user-generated content from the social media platform X (formerly known as Twitter), collecting 1,507 tweets that underwent preprocessing, including text normalization and sentiment labeling. Two machine learning models, Random Forest and Support Vector Machine (SVM), were implemented to classify the tweets into positive and negative sentiments. Each model was evaluated under three experimental scenarios with varying training dataset sizes. The results indicated that the SVM model achieved the best performance in the third scenario, with an accuracy of 81.3%, precision of 88%, and recall of 91%. In comparison, Random Forest achieved its highest results in the same scenario, with an accuracy of 77%, precision of 91%, and recall of 81%. These findings demonstrated that SVM outperformed Random Forest in terms of overall balance between accuracy and recall, making it the more effective model for sentiment classification in this context.
Co-Authors Aristana, Made Dona Wahyu Dewa Ayu Putri Wulandari Dewi, Ni Wayan Jeri Kusuma Fanani, Rizki Dwi I Gede Andika I I Kadek Dwi Gandika Supartha I Made Arsa Suyadnya Ida Bagus A. Swamardika Indra Pratistha Kadek Ayu Ariningsih Kheri Arionadi Shobirin Komang Budiarta Komang Oka Saputra Lanang, Eugenius Gene Rangga Made Sudarma Ni Putu Ayu Siska Wulantari Pande, Ni Kadek Nita Noviani Pramawati, I.D.A Tantri Pratama, I Nyoman Natha Sibuea, Dwik Andarilas Sitorus, David Samuel Utami, Komang Sri Wayan Gede Suka Parwita Wiguna, I Komang Arya Ganda