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OPTIMALISASI PENGGUNAAN WEBSITE E-COMMERCE SEBAGAI KATALOG PRODUK DIGITAL DAN MEDIA PEMASARAN BUSANA ADAT BALI PADA DEPO UDENG CES Putu Eka Suryadana; Wayan Gede Suka Parwita; Ritra Trees Ari; Gede Sugita Aryandana
JURNAL ILMIAH NUSANTARA Vol. 2 No. 1 (2025): Jurnal Ilmiah Nusantara
Publisher : CV. KAMPUS AKADEMIK PUBLISING

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61722/jinu.v2i1.4081

Abstract

Abstract. Balinese traditional clothing is one of Bali's cultural heritages that has developed in terms of users and manufacturing. Depo Udeng Ces is one of the retail industries engaged in the sale of Balinese traditional clothing. Currently, Depo Udeng Ces serves the sale of Balinese traditional clothing both offline and online. Depo Udeng Ces in making online sales uses social media such as Instagram, TikTok and Whatsapp. The disadvantage of using Instagram social media as a product catalog is that it cannot group each product into a category. In addition, not all products can be displayed, and cannot sort products by name, price and number of purchases. E-commerce is an effective solution in dealing with product catalog problems digitally. Interview techniques are used to obtain buyer needs to handle product catalog problems in the transaction process. This study produces an e-commerce website that is useful according to needs. Beta trials and user satisfaction surveys will be used as a reference to assess the level of success of this study. The results of this study are the design of an e-commerce website that accommodates the needs of a digital product catalog at Depo Udeng Ces and search media. This is supported by data from the overall response of e-commerce website users, which obtained results that 73% of users strongly agreed and 26.7% of users agreed with the development results carried out. Abstrak. Busana adat Bali merupakan salah satu dari warisan budaya Bali yang mengalami perkembangan dari sisi pengguna dan manufaktur. Depo Udeng Ces merupakan salah satu industri retail yang bergerak di bidang penjualan busana adat Bali. Saat ini Depo Udeng Ces melayani penjualan busana adat Bali melalui offline maupun online. Depo Udeng Ces dalam melakukan penjualan secara online menggunakan sosial media seperti instagram, tiktok dan Whatsapp. Kelemahan dari menggunakan sosial media instagram sebagai katalog produk adalah tidak dapat mengelompokan masing-masing produk ke dalam sebuah kategori. Selain itu tidak semua produk dapat ditampilkan, serta tidak dapat mengurutkan produk berdasarkan nama, harga dan jumlah pembelian. E-commerce menjadi solusi efektif dalam menangani masalah katalog produk secara digital. Teknik wawancara digunakan untuk memperoleh kebutuhan pembeli untuk menangani permasalah katalog produk dalam proses transaksi. Penelitian ini menghasilkan website e-commerce yang bermanfaat sesuai dengan kebutuhan. Uji coba beta dan survei kepuasan pengguna akan digunakan sebagai acuan untuk menilai tingkat keberhasilan penelitian ini. Hasil dari penelitian ini adalah perancangan website e-commerce mengakomodir kebutuhan katalog produk secara digital pada Depo Udeng Ces dan media pencarian. Hal ini didukung oleh data hasil respon pengguna website e-commerce secara keseluruhan yang memperoleh hasil 73% pengguna sangat setuju dan 26.7% pengguna setuju dengan hasil pengembangan yang dilakukan.
Analisis Pemanfaatan E-Learning dalam Proses Pengajaran: Studi Kasus Dosen CPNS Politeknik Negeri Bali Suryadana, Putu Eka; Saraswati, Ni Putu Ritra Trees Ari Kartika Hadi; Parwita, Wayan Gede Suka; Aryandana, I Gede Sugita
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.v21i1.7935

Abstract

New lecturers at the Bali State Polytechnic can utilize a learning management system (LMS) to improve online teaching. This system supports various academic functions, such as providing access to resources, sending assignments, and creating interactive learning experiences. However, E-learning has the potential for over-reliance on technology, which can reduce traditional teaching methods and personal interaction in the classroom. This research aims to analyze the use of e-learning in the teaching process for CPNS 2024 lecturers at the Bali State Polytechnic. The research used a questionnaire with a Likert scale with a sample of 30 CPNS 2024 lecturers who had no experience as lecturers. The results of the questionnaire responses were tested for validity and reliability to ensure that the data processed was valid data. The validity test results show that all the questions tested are valid and the reliability results show a Cronbach alpha value of 0.736 and is included in the high category. Meanwhile, the results of processing the USE questionnaire by calculating the average percentage score for each factor include: usability 96%, convenience 89.5% and satisfaction 94%. A questionnaire designed to measure the usefulness of e-learning for new lecturers has proven to be valid and reliable. The results of the questionnaire show that e-learning really helps CPNS 2024 lecturers in delivering material and managing lecture assignments effectively.
PENGUJIAN KUALITAS WEBSITE DINAS KEPENDUDUKAN DAN PENCATATAN SIPIL (DUKCAPIL) KOTA DENPASAR BALI MENGGUNAKAN METODE SYSTEM USABILITY SCALE (SUS) I Gede Sugita Aryandana; Leni Anggraini Susanti; Putu Eka Suardana; Putu Virgananta Nugraha
Jurnal Teknologi Informasi dan Komputer Vol. 11 No. 1 (2025): JUTIK : Jurnal Teknologi Informasi dan Komputer, Edisi April 2025
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36002/jutik.v11i1.3747

Abstract

Websites play a crucial role in providing efficient digital information and services across various sectors, including the government sector. In this sector, an optimal website is a key factor in enhancing public service efficiency, particularly in facilitating public administration and ensuring that population services are conducted more effectively and responsively to meet society's needs. The Civil Registry and Population Office (DUKCAPIL) of Denpasar City is a public service agency that operates an official website at taringdukcapil.denpasarkota.go.id. This website serves as a platform for providing information on public administration and population services. However, its information delivery is still suboptimal, with issues such as user-unfriendly navigation, infrequent information updates, and difficult access to older news content. As a result, users struggle to obtain the necessary information. To assess the quality of the DUKCAPIL website, quality evaluation was conducted using System Usability Scale (SUS) method, which measures usability based on five key dimensions: Easy to Use, User Competence, Efficiency, System Reliability, and Design. The evaluation was carried out in Denpasar City using questionnaires and a random sampling method. Based on the assessment, the DUKCAPIL Denpasar City website was classified as grade F with a "WORST IMAGINABLE" rating, achieving an average score of 26.13.
Analisis Algoritma Machine Learning untuk Gagal Jantung dengan Interpretability SHAP dan LIME I Gede Sugita Aryandana; Leni Anggraini Susanti; Putu Eka Suryadana; Wayan Gede Suka Parwita
TEMATIK Vol. 12 No. 2 (2025): Tematik : Jurnal Teknologi Informasi Komunikasi (e-Journal) - Desember 2025
Publisher : LPPM POLITEKNIK LP3I BANDUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38204/tematik.v12i2.2627

Abstract

Kesehatan adalah keadaan sejahtera secara fisik, mental, dan sosial yang memungkinkan setiap individu dapat menjalani kehidupan secara produktif. Di antara berbagai dimensi kesehatan, kesehatan fisik menjadi aspek yang paling fundamental karena berperan penting dalam menjaga kualitas hidup manusia. Salah satu indikator utama dari kesehatan fisik adalah fungsi jantung, yang memiliki peran vital dalam mendukung aktivitas dan kinerja tubuh. Gangguan pada fungsi jantung tidak hanya berdampak pada kondisi fisik, tetapi juga dapat memengaruhi kesejahteraan mental dan sosial individu sehingga menyebabkan gagal jantung. Untuk mendeteksi gagal jantung secara dini, diperlukan penelitian dalam penerapan algoritma Machine Learning sebagai metode analisis yang dapat mendukung ketepatan serta efisiensi dalam proses diagnosis. Instrumen yang digunakan dalam algoritma Machine Learning adalah SHAP dan LIME, dengan memanfaatkan dataset medis pasien penderita gagal jantung sebagai objek analisis. Hasil penelitian ini bahwa algoritma random forest merupakan algoritma terbaik dalam memprediksi resikok gagal jantung. Hasil accuracy dari algoritma random forest menunjukkan nilai sebesar 0.8334 secara keseluruhan diikuti dengan nilai rata-rata precission sebesar 0,8125, nilai rata-rata recall sebesar 0,793, nilai rata-rata f1-scorenya sebesar 0,8015 dan nilai UACnya sebesar 0.90. Berdasarkan hasil klasifikasi selanjutnya dilakukan interpretability metode SHAP dan LIME. Hasil metode SHAP memberikan gambaran mendalam mengenai pengaruh variabel utama seperti time, serum creatinine, ejection fraction, dan age terhadap risiko gagal jantung. Hasil metode LIME memberikan hasil secara lokal yang artinya dalam kasusĀ ini, metode LIME menyoroti serum creatinine sebagai variabel utama yang meningkatkan prediksi kematian.