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All Journal KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Juara: Jurnal Riset Akuntansi Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Pelayanan dan Pengabdian Masyarakat (Pamas) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Jurnal Akuntansi Bisnis Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal Informatika Teknologi dan Sains (Jinteks) Prosiding Seminar Nasional Teknik Elektro, Sistem Informasi, dan Teknik Informatika (SNESTIK) Jurnal Krisnadana Smart Techno (Smart Technology, Informatic and Technopreneurship) Jurnal Krisnadana Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal ilmiah teknologi informasi Asia
Nengah Widya Utami
STMIK Primakara
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Inovasi dan Digitalisasi Pemasaran Budidaya Ayam Caru Sebagai Sarana Upakara Hindu di Desa Banjar Anyar Kecamatan Kediri Kabupaten Tabanan Nyoman Purnama; Nengah Widya Utami; I Made Dwi Hita Darmawan
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 4 No. 3 (2023): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jpni.v4i3.491

Abstract

Bali is one of the islands in Indonesia with diverse culture and traditions. Where one of the cultures and traditions is passed from generation to generation is in the form of religious ritual activities. This activity is an indispensable part of people's daily lives. Every ceremony held by Hindus in Bali is always accompanied by offerings, like the mecaru ceremony. In the caru worshiping ceremony, animals or animals are always used to worship, including free-range chickens with typical feather colors such as white, red, yellow, black and brumbun (many colors). Rituals in Bali often take place on certain days, seasons, or times, so at certain times, the demand for ritual vehicles, including chickens, is very high and it is difficult to find special colors. show that. Ajik Chicken Farm and Premium Free-Free Chicken Farmers Community are small and medium-sized enterprises in the field of free-range Chicken Farming. Different types of free-range chicken breeds are produced at the business located in Banjar Anyar village, Kediri Tabanan district, Bali. These include Mentari chickens, chickens, male chickens, Joper chickens and Afkir chickens. The implementation of Community Services for Beginners with the theme “Innovation and digitalization of commercialization of Caru Chicken Farming as a means of Hindu rituals in Banjar Anyar village, Kediri district, Tabanan district” is divided into multiple stages, namely: problem identification, implementation of activities, program support, and monitoring and evaluation. Overall, the implementation of this PMP activity went well, partners felt supported and enthusiastically participated. This PMP activity will support partners in their marketing and promotional activities so they can improve their knowledge and skills in information systems and social media management as well as financial management. In addition, this activity also provides training on Caru chicken marketing using web applications, electronic media publications, videos of implementation of activities and publications in recognized journals.
ANALISIS SENTIMEN REVIEW WISATAWAN PADA OBJEK WISATA UBUD MENGGUNAKAN ALGORITMA SUPPORT VECTOR MACHINE I Wayan Budi Suryawan; Nengah Widya Utami; Ketut Queena Fredlina
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 1 (2023): EDISI 15
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i1.2242

Abstract

Since the world was hit by the Covid-19 pandemic, it had an impact on activities in Ubud. According to the Central Bureau of Statistics from Bali, the number of foreign tourists visiting from January to October 2021 has decreased by 99.996 percent. On October 14 2021 tourist attractions in Ubud began to reopen. Based on these problems, this research will carry out sentiment analysis from reviews on the TripAdvisor site on tourist attractions in Ubud using the Support Vector Machine algorithm with the Knowledge Discovery in Database method. The results obtained in this study resulted in 551 positive sentiment and 118 negative sentiment based on 669 data test, these results resulted in a positive value for tourist attractions in Ubud. Testing will be carried out on the Support Vector Machine algorithm using the Confusion Matrix which gets good results in conducting sentiment analysis with an accuracy of 84.01%, a recall of 89.83%, a precision of 90.40% and an F1-Score of 90. 11%.
ANALISIS KEPUASAAN PENGGUNA SISTEM INFORMASI MENGGUNAKAN METODE PIECES FRAMEWORK (STUDI KASUS STARTUP PANAK.ID) Ni Putu Nita Artaningsih; Nengah Widya Utami; Helmy Syakh Alam
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 1 (2023): EDISI 15
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i1.2274

Abstract

Perkembangan sistem informasi memberikan dampak yang baik kepada masyarakat sehingga peningkatan ini menjadi penopang dalam kegiatan operasional perusahaan berupa sistem informasi berbasis website. Salah satu perusahaan yang menggunakan sistem informasi berbasis website yaitu StartUp Panak.Id akan tetapi  bahwa sampai saat ini sistem tersebut belum melakukan pengembangan sistem dan belum melakukan survey terhadap pengguna terkait sistem tersebut, sehingga  penulis melakukan penelitian terhadap kepuasan pengguna dari sistem tersebut dengan menggunakan metode PIECES Framework. Metode yang digunakan dalam penelitan ini merupakan metode kuantitatif dan kualitatif dengan menggunakan sumber data sekunder dan primer. Data sekunder akan didapatkan dari artikel, jurnal, dan penelitian sebelumnya sedangkan data primer akan didapatkan dari  responden yang digunakan sebagai objek informasi dengan menggunakan 87 sampel pengguna yang sudah menggunakan sistem. Berdasarkan hasil analisis dari enam variabel yang dimiliki PIECES framework memiliki nilai rata-rata yaitu nilai performance (4.31), nilai information and data (4.24), nilai economics (4.27), nilai control and security (4.40), nilai efficiency (4.38), nilai service(4.44). Dapat ditarik kesimpulan bahwa dinyatakan sangat puas. Berdasarkan hasil penyebaran bahwa responden memberikan saran agar adanya peningkatan dalam segi penanmabahan produk, pembayaran,  peningkatan pelaporan kepada pengguna, penambahan fitur chating pada website, dan penambahan mengenai video edukasi ternak.
KLASIFIKASI TANAMAN UPAKARA ADAT HINDU DI KEBUN RAYA EKA KARYA BALI MENGGUNAKAN ALGORITMA CONVOLUTIONAL NEURAL NETWORK Nengah Widya Utami; I Nyoman Purnama; I Putu Restu Prajna
Jurnal Informatika Teknologi dan Sains (Jinteks) Vol 5 No 4 (2023): EDISI 18
Publisher : Program Studi Informatika Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51401/jinteks.v5i4.3416

Abstract

Penelitian ini bertujuan untuk mengimplementasikan klasifikasi semantik secara otomatis yang dapat membedakan jenis tanaman sebagai alternatif pengenalan objek berdasarkan metode deep learning menggunakan Convolutional Neural Network (CNN). Metode CNN merupakan salah satu metode deep learning yang mampu melakukan proses pembelajaran mandiri untuk pengenalan objek, ekstraksi objek dan klasifikasi serta dapat diterapkan pada citra resolusi tinggi yang memiliki model distribusi nonparametrik. Pada penelitian ini, diterapkan algoritma CNN untuk membedakan jenis tanaman upakara Hindu di Bali dengan memberikan label semantik dari objek jenis tanaman. Pengukuran tingkat akurasi diuji coba menggunakan tiga model yaitu model MobileNetV3Small, VGG19, VGG16. Dari ketiga model dapat disimpulkan bahwa model MobileNetV3Small memiliki hasil akuasi yang paling baik diikuti oleh VGG19 dan VGG16.
Klasterisasi Tingkat Penjualan pada Startup Panak.id dengan Algoritma K-Means Sutha Wijaya Harjono; Nengah Widya Utami; I Gusti Agung Pramesti Dwi Putri
Jurnal Ilmiah Teknologi Informasi Asia Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v17i1.888

Abstract

Sales data processing is one way for companies to support future decision making. One way to process sales data is to cluster with data mining techniques that are present as a company solution to be able to process sales data that is owned by carrying out processes that generate new knowledge. Knowledge obtained from owned data is commonly referred to as Knowledge Discovery in Database (KDD) which consists of steps such as; data selection, data cleaning, pattern search (data mining), and interpretation. In this study, the author will discuss data mining techniques and applications using the K-Means algorithm which is applied in the Python programming language. The research was conducted at the startup company Panak.id by accessing data on sales of processed livestock products for the period July 2021 – July 2022. The results showed that the level of product sales was dominated by products that were in the less-selling category. This shows that of the many types of products offered by Panak.id, there are still many products that are of little interest to the public. From this knowledge, the company can make decisions related to sales strategies and innovations in products that are not in demand with the hope of further increasing sales. In addition, the company can also use this knowledge as a prediction in terms of stock control so that products that are not selling well can be monitored more closely to avoid stock buildup in warehouses.
Analisis Behavioral Intention dan Use Behavior Quick Response Code Indonesian Standard (QRIS) Pada UMKM Dengan Metode UTAUT 2 di Kota Denpasar Ni Kadek Dwi Febriani; Nengah Widya Utami; I Gusti Agung Pramesti Dwi Putri
Jurnal Ilmiah Teknologi Informasi Asia Vol 17 No 1 (2023): Volume 17 Nomor 1 (8)
Publisher : LP2M INSTITUT TEKNOLOGI DAN BISNIS ASIA MALANG

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32815/jitika.v17i1.890

Abstract

This study aims to determine the factors that can influence the intention to use and behavior of MSMEs in Denpasar City in using QRIS with the Unified Theory of Acceptance and Use of Technology (UTAUT) 2 Model. This research uses primary data sources with a sample of 100 respondents, taking sample using probability sampling that is simple random sampling. Test the validity and reliability test of the instrument was carried out with SmartPLS 3.0 software. Data were analyzed using the Partial Least Squares Path Modeling (PLS-SEM) method with SmartPLS 3.0 software. The results of the tests carried out show that the accepted hypothesis is that the variables that have an influence on behavioral intentions are effort expectations, facilitating conditions, hedonic motivation, and price values. The other hypothesis that is accepted is the variables that influence use behavior, namely habits and behavioral intentions. There are hypotheses that are rejected, namely performance expectancy on behavioral intention, social influence on behavioral intention, facilitating conditions on use behavior and habit on behavioral intention. Keywords: Financial Technology; QRIS; UTAUT 2; Behavior Intention; Use Behavior; PLS
Using SVM (Support Vector Machine) Method To Predict Best Seller Book In Amazon Nengah Widya Utami; Joshael Juinor Soplantila
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 3 No. 1 (2021)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (258.058 KB) | DOI: 10.59356/smart-techno.v3i1.28

Abstract

Amazon is an American multinational technology company based in Seattle, Washington, which focuses on e-commerce, cloud computing, digital streaming, and the Big Four artificial intelligence along with Google, Apple, and Facebook. Therefore this company must have many and varied sales data. One of them is book sales data. In this study, the author is interested in analyzing best-selling book sales by implementing data mining using the SVM algorithm, where the data is taken at Kaggle.com in the form of a data set.
Implementasi Data Mining Untuk Mengklasifikasikan Produk Pada Sebuah Supermarket Mengunakan Algoritma ID3 Pada Orange Nengah Widya Utami; I Wayan Budi Suryawan
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 3 No. 1 (2021)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (280.293 KB) | DOI: 10.59356/smart-techno.v3i1.33

Abstract

Technological developments are increasingly increasing or developing very rapidly. The development of technology has also affected the increasing needs of the community, so supermarkets and retailers are competing to provide various types of products or daily needs. However, in every collection or supermarket, it is necessary to know what types of products are needed by customers who will later become targets. To help shops and supermarkets, the authors will conduct an analysis to find out the types of products that customers like by implementing data mining in supermarket classification using the ID3 algorithm
Analisis Dan Perancangan Sistem Point Of Sales (POS) Pada Toko Harco Bali Stefani Yohana Paula Bere; Ni Made Estiyanti; Nengah Widya Utami
Smart Techno (Smart Technology, Informatics and Technopreneurship) Vol. 5 No. 1 (2023)
Publisher : Primakara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59356/smart-techno.v5i1.79

Abstract

Toko Harco Bali is a company that sells electronic equipment. In the system that is running at the Toko Harco Bali, it is still done manually such as making notes which often have errors when calculating the total payment, there is no recording of customer data & inventory records that are still written in notebooks and make time less effective, as well as the lack of existing internal control activities so as to make employees take concurrent jobs. Point Of Sales (POS) is a system to process sales transactions of goods. Internal control is one of the systems to guarantee the security of the company. The purpose of this research is to analyze and design the point 0f sales system. In this design, the system can provide convenience and security in the transaction process. The research method used is the system development method, namely the prototyping approach. The stages in the prototyping method are, design or planning and end in the design of a new proposed system. The results of the analysis of SPI components in the form of control environment, risk assessment, information and communication, supervision and control activities and the results of this research design in the form of Database DFD, ERD and interface design
Co-Authors A. A. Istri Ita Paramitha Astawa, Ni Luh Putu Ning Septyarini Putri Bagus Made Sabda Nirmala Bagus Putu Wahyu Nirmala Dewa Made Aryadi Mertha Sanjaya Dewa Pramana Farikha Dwi Nur Qossina Januar Helmy Syakh Alam I Dewa Ayu Rai Utari I Gede Juliana Eka Putra I Gede Juliana Eka Putra I Gede Juliana Eka Putra I Gede Juliana Eka Putra I Gede Mahendra Darmawiguna I Gede Putu Krisna Juliharta I Gst. Agung Pramesti Dwi Putri I Gst.Agung Prmaesti Dwi Putri I Gusti Agung Pramesti Dwi Putri I Gusti Bagus Made Wiradharma I Ketut Resika Arthana I Komang Andi Sugiarta I Komang Dion Adi Saputra I Made Artana I Made Dwi Hita Darmawan I Putu Agus Swastika I Putu Restu Prajna I Putu Satwika I Wayan Arya Wiguna I Wayan Budi Suryawan Joshael Juinor Soplantila Ketut Queena Fredlina Ketut Tri Budi Artani Komang Tri Werthi Linda Lorenza Hafifah Luh Eka Sri Utami Made Artana Ni Kadek Dwi Febriani Ni Made Estiyanti Ni Made Mila Fatmasari Ni Nyoman Saptiari Ni Putu Nita Artaningsih Ni Putu Riska Handayani Ni Wayan Oktha Pratiwi Nyoman Purnama, Nyoman Putri Anugrah Cahya Dewi Putu Ari Widiastuti Stefani Yohana Paula Bere Sutha Wijaya Harjono Tiawan Tiawan Yurina Anggela Oktaviana