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All Journal KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) ISSN: 2252-9063 Jurnal Ilmiah Informatika Komputer Bulletin of Electrical Engineering and Informatics Sinkron : Jurnal dan Penelitian Teknik Informatika JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer International Journal of Engineering and Emerging Technology Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Paradharma: Jurnal Aplikasi IPTEK KOMET Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Saraswati, Ni Wayan Sumartini
Institut Bisnis Dan Teknologi Indonesia
Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Mechanical Engineering Public Health Social Sciences Other

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Detection of Covid Chest X-Ray using Wavelet and Support Vector Machines Ni Wayan Sumartini Saraswati; Ni Wayan Wardani; I Gusti Ayu Agung Diatri Indradewi
International Journal of Engineering and Emerging Technology Vol 5 No 2 (2020): July - December
Publisher : Doctorate Program of Engineering Science, Faculty of Engineering, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/IJEET.2020.v05.i02.p019

Abstract

The study of digital image processing is still a hot topic in the realm of research, especially in medical research. The presence of various digital image processing methods and machine learning also contributes to the progress of research in this field. Detecting Covid Chest X-Ray is a prediction problem solving with a supervised classification method. In this study, the SVM method was chosen because it is proven to function as a good classifier as has been done in previous studies. Where previously the chest x-ray image feature extraction was carried out using wavelet transform. Feature extraction using wavelets has given the distinctive features of normal lung X-rays and distinguishes them from the distinctive features of Covid lung X-rays. The measurement results of the average classification model for the approximate, vertical, horizontal and diagonal dataset are 93.91% accuracy, 6.09% error rate, 98.75% recall, 89.06% specificity, and 91.26% precision. The vertical dataset is the best dataset to get a classification model because it has the best value in the accuracy and recall variables, but still provides good performance in measuring precision.
RANCANG BANGUN WEBSITE E-COMMERCE PRODUK KERAJINAN BAMBU UNTUK PASAR EKSPOR Ni Wayan Sumartini Saraswati; Ni Luh Pangestu Widya Sari
Jurnal Teknologi Informasi dan Komputer Vol 5, No 2 (2019): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1471.323 KB)

Abstract

ABSTRACT Indonesia is the third largest bamboo exporting country in the world which indicates that Indonesian bamboo products have the potential to be one of the export commodities. The technique of marketing bamboo handicraft products for the export market can use conventional methods such as participating in exhibitions abroad or entrusting products to relations that have overseas markets. The second, easier and cheaper way for small and medium-sized UKM is to use information technology and internet.In this study the design and development of e-commerce websites for handicraft products for the export market was carried out. This study aims to obtain minimum design specifications until the website can be used to market products online.The results of the design show that the website consists of two services in outline. The first is a page for consumers who shop, and the second is a page for admin to manage the website.The results of the design also show that the system can be built with only six tables in the database. Keywords: export product marketing, e-commerce website, sales information system. ABSTRAKIndonesia adalah negara pengekspor bambu terbesar ketiga di dunia yang mengindikasikan bahwa produk bambu Indonesia potensial untuk dijadikan salah satu komoditas ekspor. Teknik memasarkan produk kerajinan bambu untuk pasar ekspor dapat menggunakan metode konvensional seperti mengikuti pameran di luar negeri atau menitipkan produk pada relasi yang memiliki pasar di luar negeri. Cara yang kedua yang lebih mudah, murah dan terjangkau untuk UKM kecil dan menengah adalah dengan memanfaatkan teknologi informasi dan internet.Dalam Penelitian ini dilakukan perancangan dan pengembangan website e-commerce produk kerajinan untuk pasar ekspor. Penelitian ini bertujuan mendapatkan spesifikasi rancangan minimum hingga website dapat digunakan untuk memasarkan produk secara online. Hasil perncangan didapatkan bahwa website terdiri dari dua layanan secara garis besar. Yang pertama adalah halaman untuk konsumen yang berbelanja, dan yang kedua adalah halaman untuk admin dalam memanajemen website.Kata Kunci: pemasaran produk ekspor, website e-commerce, sistem informasi penjualan.
SISTEM INFORMASI PEMESANAN PAKET TOUR PADA JALAK BALI LESTARI BERBASIS WEB Ni Wayan Mirah Senja Pertiwi; Ni Wayan Sumartini Saraswati; I Dewa Made Krishna Muku
Jurnal Teknologi Informasi dan Komputer Vol 7, No 3 (2021): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

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Abstract

ABSTRACTPT. Jalak Bali Lestari is one of the travel agencies in Bali by offering various types of packages tour domestic, especially in Bali. PT. Jalak Bali Lestari is located at Tukad Yeh Aya IX street No.61B to be precise in Renon, South Denpasar. To trawl many consumers - the number of PT. Jalak Bali Lestari also wants provide convenience services for consumers. But on the other side, found still lack of information provided by the company, either tourism service information such as tours and traffic as well as information booking packages tour and tourist objects. The problem currently faced is the process of ordering packages tour at PT. Jalak Bali Lestari still comes and order. To overcome these problems the authors designed and build a package booking information system tour -based web, where the system can minimize the time when the customer does booking. In addition, the system can also simplify performance staff in serving package bookings tour.Keywords: Information Systems, Reservations, Packages TourABSTRAKPT. Jalak Bali Lestari merupakan salah satu biro perjalanan yang ada di Bali dengan menawarkan berbagai jenis paket tour dalam negeri khususnya di Bali. PT. Jalak Bali Lestari beralamat di Jalan Tukad Yeh Aya IX No.61B tepatnya di Renon, Denpasar Selatan. PT. Jalak Bali Lestari tentunya ingin memberikan kemudahan pelayanan bagi konsumen, namun di sisi lain, ditemukan masih kurangnya informasi yang diberikan perusahaan, baik informasi layanan pariwisata seperti tour dan travel maupun informasi pemesanan paket tour dan objek-objek wisata. Permasalahan yang dihadapi saat ini yaitu proses pemesanan paket tour pada PT. Jalak Bali Lestari masih dengan cara datang dan pesan. Untuk mengatasi permasalahan tersebut penulis merancang dan membangun sistem informasi pemesanan paket tour berbasis web, dimana sistem dapat meminimalisir waktu pada saat customer melakukan pemesanan. Selain itu, sistem juga dapat mempermudah kinerja para staff dalam melayani pemesanan paket tour.Kata Kunci: Sistem Informasi, Pemesanan, Paket Tour
APLIKASI MANAJEMEN INVENTORY PADA ROTIKU BAKERY BERBASIS WEBSITE Ni Wayan Sumartini Saraswati; I Nyoman Yudha Chandra Dinata
Jurnal Teknologi Informasi dan Komputer Vol 4, No 2 (2018): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (426.295 KB)

Abstract

ABSTRACTRotiku Bakery currently uses a data management system in a conventional way, using paper so that the data is not stored properly. This resulted in a report taking a relatively long time to obtain information. Another problem that arises is the loss of important data because the paper media does not last long and wastage of space as paper media storage. The purpose of this study is to design and build an information system that facilitates employees in managing data, especially the management of inventory data. Inventory management in this system is unique because it is implemented in a small manufacturing industry in the form of bread making. There are two kinds of stock, they are raw material stock and finished goods stock. System design is carried out to analyze the system requirements which are created by data flow diagrams (DFD), entity relationship diagrams and user interfaces to find out what is related to the system. The results of the research can facilitate employees in the bakery for managing data such as raw material data, product data, transaction data and reports. The owner can see the report without having to go to the company because the application is connected to the internet.Keywords : Inventory, Manufacturing, Information Systems, Raw Materials, Finished GoodsABSTRAKRotiku Bakery saat ini menggunakan sistem pengelolaan data dengan cara yang masih konvensional yaitu dengan menggunakan media kertas sehingga data menjadi tidak tersimpan dengan baik. Hal ini mengakibatkan pada saat pembuatan laporan, membutuhkan waktu yang relatif lama untuk mendapatkan informasi. Masalah lain yang timbul adalah hilangnya data penting karena media kertas tersebut tidak tahan lama dan pemborosan tempat sebagai penyimpanan media kertas. Tujuan penelitian ini adalah merancang dan membangun sistem informasi yang memudahkan pegawai dalam melakukan pengelolaan data, terutama pengelolaan data inventory. Manajemen inventory dalam sistem ini menjadi unik karena dilaksanakan dalam industry manufaktur kecil berupa pembuatan roti. Stok sendiri ada dua macam yakni stok bahan mentah dan stok barang jadi. Perancangan sistem dilakukan untuk menganalisa kebutuhan sistem yaitu dibuat dengan data flow diagram (DFD), entity relationship diagram dan user interface untuk mengetahui apa saja yang berkaitan dengan sistem. Hasil dari penelitian dapat memudahkan pegawai di rotiku bakery dalam melakukan pengelolaan data seperti data bahan baku, data produk, data transaksi dan juga laporan. Owner dapat melihat laporan tanpa harus mendatangi perusahaan karena aplikasi terhubung dengan internet.Kata kunci : Inventory, Manufaktur, Sistem Informasi, Bahan Mentah, Barang Jadi
SISTEM PENGOLAHAN DATA DOSEN TETAP STMIK STIKOM INDONESIA BERBASIS WEBSITE Ni Wayan Sumartini Saraswati; Eddy Hartono
Jurnal Teknologi Informasi dan Komputer Vol 3, No 1 (2017): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (324.657 KB)

Abstract

BSTRACT        This research produced the data processing web system of STMIK STIKOM Indonesialecturer. The system will be used to assist the management in managing the data of permanentlecturers to obtain accurate information. This research use engineering method or researchdevelopment method. The research starts from the stages of analysis, design to systemimplementation. The output of this research is a website based application, where the input of thesystem is the lecturer master data and lecturer history data consisting of education history,functional position history and history of grade. Output of the system is information that is neededby the management and will be visualization in reports and graphs. These graphs and reports willbe used  as decision support for the management STMIK STIKOM Indonesia.Keywords: lecturer data processing system, information system, website based application. ABSTRAK Penelitian ini menghasilkan rancang bangun sistem pengolahan data dosen tetap STMIK STIKOMIndonesia berbasis website. Sistem yang dibangun nantinya akan digunakan untuk membantupihak manajemen dalam mengelola data dosen tetap sehingga diperoleh informasi yang akuratdalam tempo waktu yang singkat. Metode penelitian yang digunakan dalam penelitian ini adalahpenelitian rekayasa atau metode penelitian pengembangan. Tahapan penelitian dimulai daritahapan analisis , perancangan hingga implementasi sistem. Luaran penelitian ini berupa aplikasiberbasis website dimana input dari sistem adalah data master dosen serta data riwayat dosen yangterdiri dari riwayat pendidikan, riwayat jabatan fungsional dan riwayat kepangkatan. Output darisistem berupa laporan dan grafik. Grafik dan laporan ini nantinya akan digunakan untuk mediainformasi maupun pendukung keputusan bagi pihak manajemen STMIK STIKOM Indonesia.Kata Kunci: Sistem Pengolahan Data Dosen Tetap, Sistem Informasi, Aplikasi Berbasis Website.
SISTEM INFORMASI PENJUALAN KERAJINAN BAMBU PADA UD. TAMAN LESTARI BERBASIS WEBSITE I Kadek Putra Agung Darmawan; Ni Wayan Sumartini Saraswati; I Dewa Made Krishna Muku
KARMAPATI (Kumpulan Artikel Mahasiswa Pendidikan Teknik Informatika) Vol. 11 No. 2 (2022)
Publisher : Universitas Pendidikan Ganesha

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Abstract

UD. Taman Lestari is a business engaged in the sale of various kinds of bamboo and various types of handicrafts from bamboo such as processed Balinese handicrafts (klakat, sanggah solar, kulkul and others) and bamboo decoration crafts (bamboo wall lamps, water showers, tables). , and bamboo chairs). Based on the results of observations, the business process of selling bamboo at UD. Taman Lestari happened that in one day there were 5-15 customers who made purchases of bamboo and bamboo crafts which in one day customers could purchase 20 types of goods and the owner recorded purchases of goods made by customers who still used notebooks. Based on the problems above, the authors found an idea to design and build a website-based sales system, so that customers can see products that are sold online and admins can manage data and reports easily. The research method in designing this system uses the waterfall method. The final result of this research is the construction of a website as an intermediary medium for owners and customers and this research produces 2 reports, namely, transaction reports and inventory reports. The system development has passed blackbox testing.
RANCANG BANGUN SISTEM INFORMASI PELELANGAN BARANG GADAI PADA PT. PEGADAIAN (PERSERO) CAB. DOMPU Melinia Hutari; Ni Wayan Sumartini Saraswati; Kadek Budi Sandika; I Dewa Made Krishna Muku
Jurnal Teknologi Informasi dan Komputer Vol 8, No 4 (2022): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

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Abstract

ABSTRACTAuction is generally the process of buying and selling goods or services which are then sold to the bidder with the highest price. There are several types of auction variations, such as depending on the minimum bidding limit, the auction duration, and how the winner of this auction is determined. PT. Pegadaian (Persero) is one of the State- Owned Enterprises (BUMN), the company is engaged in lending services to the public based on the law of pawning. PT. Pegadaian (Persero) Dompu Branch is currently using the internet as a business activity, but information for the public who participates in the auction can only be seen from the bulletin board. It means, the auction participants and auction officers still have to meet in person to bid and make transactions for the goods being auctioned. The COVID-19 pandemic from 2019 until today, has an impact on the company's business processes, which are becoming ineffective. The purpose of the research is to build a Pawn Auction Information System at PT. Pegadaian (Persero) Dompu Branch, using the website-based waterfall method. The system successfully implemented and brought effectiveness to the auction process, also displayed reports as a result in tables and graphs.Keywords: pawn auction, waterfall method, information systemABSTRAKLelang merupakan suatu proses jual beli barang atau jasa yang kemudian dijual pada penawar dengan harga tertinggi. Diketahui terdapat beberapa variasi lelang yang bergantung pada beberapa aspek, yakni batas minimum penawaran, durasi lelang, hingga cara penentuan pemenang dari lelang ini. PT. Pegadaian (Persero) merupakan salah satu Badan Usaha Milik Negara (BUMN), perusahaan ini bergerak di bidang jasa penyaluran kredit kepada masyarakat atas dasar hukum gadai. PT. Pegadaian (Persero) Cab. Dompu saat ini sudah memanfaatkan internet sebagai kegiatan bisnis, namun informasi untuk masyarakat yang mengikuti lelang hanya dapat dilihat dari papan pengumuman dan masih harus saling tatap muka antara peserta lelang dengan petugas lelang untuk menawar dan melakukan transaksi barang yang dilelang. Dengan adanya pandemi COVID-19 sejak 2019 hingga saat ini, tentunya berdampak terhadap proses bisnis pada perusahaan yakni menjadi tidak efektif. Tujuan dari penelitian ini adalah untuk membangun Sistem Informasi Pelelangan Barang Gadai pada PT. Pegadaian (Persero) Cabang Dompu, menggunakan metode waterfall berbasis website. Sistem ini dibangun menggunakan metode waterfall dan bahasa pemrograman PHP serta MySql sebagai database. Berdasarkan hasil penelitian dan pengujian sistem menggunakan blackbox testing, dapat disimpulkan bahwa keseluruhan sistem dapat berjalan dengan baik. Ini ditunjukkan dengan pengujian blackbox testing bahwa semua fungsi- fungsi sistem yang dibuat dapat berjalan sesuai dengan yang diharapkan.Kata kunci: lelang pegadaian, metode waterfall, sistem informasi
Support Vector Machine For Hoax Detection Ni Wayan Sumartini Saraswati; I Putu Krisna Suarendra Putra; I Dewa Made Krishna Muku; Gede Dana Pramitha
SINTECH (Science and Information Technology) Journal Vol. 6 No. 2 (2023): SINTECH Journal Edition Agustus 2023
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v6i2.1366

Abstract

Along with the development of information technology, news media has also developed by presenting information online Along with the rapid development of online news, the spread of fake news information (hoaxes) is also increasing rapidly and widely. Hoax news is often spread intentionally for various purposes. Generally, hoax news aims to direct the reader's perception to believe in a bad perception of an event, character or even a company. The motivation is to invite readers to believe something that is not true with the aim of benefiting the news disseminator is something dangerous. This research aims to detect English-language hoaxes by applying the Support vector machine (SVM) algorithm. In this study, the data used are two data sources, namely English news datasets from Kaggle and English news taken from BBC. The results of this study show that the application of the SVM algorithm turns out to get good performance because the model is able to classify hoax news with an accuracy of 99.4% on Kaggle data while on the BBC news dataset the model gets an accuracy of 98.9%. This research also shows that the SVM method is proven to have good generalization properties. Where it is able to identify test data that is completely different from the training data.
Recognizing Hotel Visitors Preferences Based on Service Consumption Level Using K-Means Method Saraswati, Ni Wayan Sumartini; Bisena, I Kadek Agus; Muku, I Dewa Made Krishna; Krisna, Gede Gana Eka
SINTECH (Science and Information Technology) Journal Vol. 6 No. 3 (2023): SINTECH Journal Edition December 2023
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v6i3.1443

Abstract

Consumer segmentation is an old issue that remains interesting to study today, given the magnitude of the benefits obtained when consumers can be segmented properly. Marketing cost efficiency is one of the great benefits of this process. Likewise, the effectiveness of marketing activities to maintain customer retention. It is because companies can better identify consumers. Based on the hotel service consumption level, this research could identify consumer clusters based on hotel consumer preferences. Thus, hotel management could target specific types of service promotion better and on target. This research built a hotel visitor clustering model using the K-Means Clustering method to determine customer segments based on the level and type of hotel service consumption. The K-Means model was built based on hotel visitor consumption data for each type of service. Furthermore, the hotel visitor clusters formed were identified by their characteristics. Four consumer clusters were obtained based on the silhouette score analysis, which described the characteristics of consumers in each cluster.
Enhance sentiment analysis in big data tourism using hybrid lexicon and active learning support vector machine Saraswati, Ni Wayan Sumartini; Ketut Gede Darma Putra, I; Sudarma, Made; Made Sukarsa, I
Bulletin of Electrical Engineering and Informatics Vol 13, No 5: October 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i5.7807

Abstract

Sentiment analysis is a review analysis process used to determine whether an opinion is neutral, negative, or positive. Sentiment analysis can be done using lexicon-based or machine learning-based approaches. Lexicon can perform sentiment analysis without training data because it is dictionary-based but performs worse than machine learning. Machine learning can perform well in completing sentiment analysis but requires training data so that the model does not experience underfitting. In the case of sentiment analysis on big data, manual labeling of training data is an inefficient job. Support vector machine (SVM) has the opportunity to be used together with the active learning (AL) method to make small training data but still have good performance. This research proposed a hybrid lexicon and AL-SVM method to complete sentiment analysis on big data tourism. This research used polarity from the valence aware dictionary and sentiment reasoner (VADER) lexicon as a reference for the query by user process from the AL-SVM to automate the sentiment analysis process on big data. The experimental results showed that using the hybrid lexicon and AL-SVM increased the sentiment analysis performance compared to the VADER lexicon, SVM, and lexicon SVM, which run separately.
Co-Authors Alvin Limawan Susanto Andika, I Gede Atmaja, Ketut Jaya Baehaqi Christina Purnama Yanti Christina Purnama Yanti Dewa Ayu Putu Rasmika Dewi Dewa Ayu Putu Rasmika Dewi Dewa Ayu Putu Rasmika Dewi Dewi Natalia, Sang Ayu Made Krisna Dewi, Dewa Ayu Putu Rasmika Dewi, Yesi Ratna Eddy Hartono Eddy Hartono Eddy Hartono Eddy Hartono I Dewa Made Krishna Muku I Dewa Made Krishna Muku I Dewa Made Krishna Muku I Gede Adi Sudi Anggara I Gusti Ayu Agung Diatri Indradewi I Kadek Agus Bisena I Kadek Agus Bisena I Kadek Putra Agung Darmawan I Ketut Setiawan I Made Andi Kertha Yasa I Made Sukarsa I Nyoman Tri Anindia Putra I Nyoman Yudha Chandra Dinata I Putu Dedy Sandana I Putu Dedy Sandana I Putu Krisna Suarendra Putra I Wayan Agustya Saputra I Wayan Dharma Suryawan Ida Bagus Gede Sarasvananda Juniartini, Ni Komang Tri Kadek Budi Sandika Ketut Gede Darma Putra, I Ketut Laksmi Maswari Ketut Sepdyana Kartini Krismentari, Ni Kadek Bumi Krisna, Gede Gana Eka Made Sudarma MADE WAHYU ADHIPUTRA Maria Osmunda Eawea Monny Melinia Hutari Natalia, Sang Ayu Made Krisna Dewi Ni Komang Tri Juniartini Ni Luh Pangestu Widya Sari NI LUH PUTU AGETANIA . NI LUH PUTU MERY MARLINDA Ni Made Lisma Martarini Ni Wayan Mirah Senja Pertiwi Ni Wayan Wardani Nirwana, Ni Kade Ayu Pirozmand, Poria Poria Pirozmand Poria Pirozmand Poria Pirozmand Poria Pirozmand Pramana, I Gusti Kadek Candra Adi Cahya Pramest, Ni Luh Gede Sintia Pramita, Dewa Ayu Kadek Pramitha, Gede Dana Putu Ananda Sitarasmi Putu Wirayudi Aditama Sandhiyasa, I Made Subrata Sari, Ni Luh Pangestu Widya Waas, Devi Valentino Wardani, Ni Wayan Weizhi Song