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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Lontar Komputer: Jurnal Ilmiah Teknologi Informasi Buletin Udayana Mengabdi Majalah Ilmiah Teknologi Elektro International Journal of Artificial Intelligence Research JUTIK : Jurnal Teknologi Informasi dan Komputer SINTECH (Science and Information Technology) Journal Jurnal Ilmiah Teknologi dan Komputer (JITTER) Majalah Ilmiah Teknologi Elektro Jurnal Riset Multidisiplin Edukasi INOVTEK Polbeng - Seri Informatika
Ni Putu Sutramiani
Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana
Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Social Sciences Other

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Rancang Bangun Sistem Informasi Bengkel Vespa di Denpasar Dwi Putra Githa; Ni Putu Sutramiani
SINTECH (Science and Information Technology) Journal Vol. 1 No. 1 (2018): SINTECH Journal Edition April 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v1i1.201

Abstract

Vespa is a vehicle that has its own charm of its distinctive shape. Vespa has fanatical fans around the world including in Denpasar Bali, either modern vespa or classic vespa. But sometimes riding a vespa (especially a classic vespa) although routine maintenance of the vespa may still be problematic when driving, whether it's a strike in the middle of the journey, broken clutch rope or tire broke while on the way. Information about the vespa workshop is the information that the vespa rider must know. Geographic information system of vespa workshop in Denpasar can be a solution to provide information about the location and route to the vespa workshop in Denpasar. The system is created using the concept of web-mobile, so that each device is capable of using the system with only the web-browser.The result of designing and building geographic information system of Vespa workshop in Denpasar is system consist of user menu and admin menu. Users can view information about the vespa workshop and the route to the vespa workshop. The admin menu is dedicated to managing vespa workshop data in the system.
IMPLEMENTASI SUPPLY CHAIN MANAGEMENT PADA E-COMMERCE SEBAGAI STRATEGI PENGEMBANGAN UMKM JAJANAN DODOL KHAS BULELENG I Wayan Agus Surya Darma; I Gusti Agung Indrawan; Ni Putu Sutramiani
Jurnal Teknologi Informasi dan Komputer Vol 6, No 2 (2020): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (439.92 KB)

Abstract

ABSTRACTPenglatan Village is a village that is the biggest dodol production center of Buleleng in the largestdistrict of Buleleng which is distributed to all regencies in Bali, even Buleleng dodol is also an icon oftypical souvenirs of Buleleng to be taken outside of Bali. Conventional trading has been carried out bymicro and small and medium enterprises (UMKM) entrepreneurs in the village of Penglatan who arecraftsmen of Buleleng dodol. Dodol craftsmen in the village of Penglatan, which is a home industrythat sells dodol products to collectors, then collectors distribute dodol products typical of Buleleng toall districts in Bali. This causes the home industry in the village of Penglatan difficult to developbecause it can not handle direct requests. Another problem faced is the difficulty of the craftsmen incalculating the need for raw materials in producing dodol typical of Buleleng when there is an order.Implementation of supply chain management in e-commerce that was developed to manage the supplyof dodol raw materials in accordance with orders that enter the system. This is expected to help dodolcraftsmen in the village of Penglatan in determining the need for raw materials needed to produceorders and provide electronic-based trading media. Determination of raw material requirements forproducing dodol is calculated by applying the concept of master requirements planning. Thedeveloped system can help MSMEs in managing sales transactions and calculating raw materialrequirements in producing dodol.Keywords: Supply Chain Management, Material Requirement Planning, E-Commerce, Dodol KhasBuleleng.ABSTRAKDesa Penglatan merupakan desa yang menjadi sentra produksi dodol khas Buleleng terbesar dikabupaten Buleleng yang disalurkan ke seluruh kabupaten di Bali, bahkan dodol Buleleng jugamenjadi ikon oleh-oleh khas Buleleng untuk dibawa ke luar Bali. Perdagangan secara konvesionaltelah dilakukan oleh pelaku Usaha Mikro Kecil dan Menengah (UMKM) di desa Penglatan yangmenjadi pengrajin dodol Buleleng. Pengrajin dodol di desa Penglatan yang merupakan industri rumahtangga yang menjual produk dodolnya ke pengepul, kemudian pengepul mendistribusikan dodol khasBuleleng ke seluruh kabupaten di Bali. Hal ini menyebabkan industri rumah tangga di desa Penglatansulit berkembang karena tidak bisa menangani permintaan langsung. Permasalahan lainnya yangdihadapi adalah sulitnya pengrajin dalam memperhitungkan kebutuhan bahan baku dalammemproduksi dodol khas Buleleng ketika ada pesanan. Implementasi supply chain management padae-commerce yang dikembangkan untuk mengelola pasokan bahan baku dodol sesuai dengan pesananyang masuk ke sistem. Hal ini diharapkan dapat membantu pengrajin dodol di desa Penglatan dalammenentukan kebutuhan bahan baku yang diperlukan dalam memproduksi pesanan dan memberikanmedia perdagangan berbasis elektronik. Penentuan kebutuhan bahan baku untuk memproduksi dodoldihitung dengan menerapkan konsep master requirement planning. Sistem yang dikembangkan dapatmembantu UMKM dalam mengelola transaksi penjualan dan menghitung kebutuhan bahan bakudalam memproduksi dodol.Kata kunci: Supply Chain Management, Material Requirement Planning, E-Commerce, Dodol KhasBuleleng.
Batik’s Pattern Recognition and Generation: Review and Challenges Dewa Made Sri Arsa; Anak Agung Ngurah Hary Susila; Desak Ayu Sista Dewi; Ni Putu Sutramiani; I Wayan Agus Surya Darma
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 10 No 2 (2022): Vol. 10, No. 2, August 2022
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2022.v10.i02.p04

Abstract

Batik is one of cultural heritage acknowledged by UNESCO. Intelligence system comes as one of solution to take parts on preservation programs of this heritage. This study explores the current state of the art in application of artificial intelligence on Batik images. This research provides a systematic investigation and present the current progress and hot issues in recognition and generation area for Batik images. Furthermore, this research also presents several Batik data sets and their state of the art. As a result of the review, we are projecting several future works in the discussion.
Handwritten Balinese Script Recognition on Palm Leaf Manuscript using Projection Profile and K-Nearest Neighbor Ni Putu Sutramiani; I Wayan Agus Surya Darma; Dewa Made Sri Arsa
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 10 No 3 (2022): Vol. 10, No. 3, December 2022
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2022.v10.i03.p02

Abstract

This paper presents a simple approach to the handwritten Balinese script characters recognition in palm-leaf lontar manuscripts. The Lontar manuscript is one of the cultural heritages found in Bali. Lontar manuscripts are written using a pengrupak, which is a kind of knife for writing on palm leaves. To give color to the results of the writing, candlenut is used so that the writing appears clear. In this paper, we apply the projection profile at the segmentation stage to get the handwritten Balinese script characters in the lontar manuscript. The palm leaf manuscript that we use is the Wariga Palalubangan palm leaf. The recognition process is carried out by implementing K-Nearest Neighbor in the recognition process. The recognition was made on the Wianjana script obtained from lontar manuscripts using 720 images consisting of 18 classes as dataset training. The test results showed that the level of recognition accuracy was obtained by 52% in the characters of handwritten Balinese scripts derived from lontar manuscripts and 92% in the characters of handwritten Balinese scripts on paper.
PELATIHAN MICROSOFT OFFICE DALAM UPAYA PENGUATAN KOMPETENSI GURU SEKOLAH DASAR I.M.S. Putra; D.P. Githa; I.P.A. Dharmaadi; I.M.S. Raharja; D.M.S. Arsa; A.A.N.H. Susila; N.P. Sutramiani; N.W.E.R. Dewi; D.P.S. Putri
Buletin Udayana Mengabdi Vol 22 No 2 (2023): Buletin Udayana Mengabdi
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/BUM.2023.v22.i02.p02

Abstract

Today's rapid development in the world of information technology causes almost all human work to become lighter and more effortless. One of them is the teacher's duties in teaching and giving grades. Applications already available on laptops or computers, such as Microsoft Office, can create more interactive teaching materials, create financial reports, or manage grades. However, most teachers who are familiar with laptops or computers can only operate the simple functions available in these applications, so the work that can be done is still limited. This service is carried out through training methods with material on using Microsoft Office applications (Word, Excel, PowerPoint) for teachers. The school being targeted is SD Negeri 7 Kesiman, whose environment is already fluent in technology but whose human resources are still limited in operating computers. The training material in the form of a Microsoft Office training module compiled by the service society team is used as a learning medium for teachers at SD Negeri 7 Kesiman. Evaluation of training activities used methods in the form of pre-test and post-test, in which the results showed that the ability of teachers at SD Negeri 7 Kesiman to understand the material had increased from before. These results also illustrate that the modules are arranged to make it easy to learn and conform to the needs of the features that the teacher often uses. Keywords : Competency, computer, information technology, Microsoft Office, teacher.
Network Reduction Strategy and Deep Ensemble Learning for Blood Cell Detection I Nyoman Piarsa; Ni Putu Sutramiani; I Wayan Agus Surya Darma
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol 14 No 3 (2023): Vol. 14, No. 3 December 2023
Publisher : Institute for Research and Community Services, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/LKJITI.2023.v14.i03.p04

Abstract

Identifying and characterizing blood cells are vital for diagnosing diseases and evaluating a patient's health. Blood, consisting of plasma and cells, offers valuable insights through its biochemical and ecological features. Plasma constitutes the liquid component containing water, protein, and salt, while platelets, red blood cells (RBCs), and white blood cells (WBCs) form the solid portion. Due to diverse cell characteristics and data complexity, achieving reliable and precise cell detection remains a significant challenge. This study presents a network reduction strategy and deep ensemble learning approaches to detect blood cell types based on the YOLOv8 model. Our proposed methods aim to optimize the YOLOv8 model by reducing network depth while preserving performance and leveraging deep ensemble learning to enhance model accuracy. Based on the experiments, the NRS strategy can reduce the complexity of the YOLO model by reducing the depth and width of the YOLO network while maintaining model performance by 4%, outperforming the baseline YOLOv8 model.
APLIKASI MARKETPLACE DENGAN FITUR SISTEM INFORMASI GEOGRAFIS Darma, Made Dwika Junata; Piarsa, I Nyoman; Arsa, Dewa Made Sri; Sutramiani, Ni Putu
JITTER : Jurnal Ilmiah Teknologi dan Komputer Vol 1 No 2 (2020): JITTER, Vol.1, No.2, December 2020
Publisher : Program Studi Teknologi Informasi, Fakultas Teknik, Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (658.934 KB) | DOI: 10.24843/jitter.v1i2.68985

Abstract

Perilaku konsumsi masyarakat Indonesia meningkat seiring perkembangan teknologi. Alvara tahun 2019 menunjukkan tingkat pencarian iklan di Indonesia pada tahun 2020 diproyeksikan meningkat menjadi US $ 130 milyar dibandingkan tahun 2016 (US $ 8 milyar). Kondisi tersebut berkaitan dengan peningkatan transaksi melalui marketplace. Meskipun demikian, pasar yang ada masih memiliki kelemahan, yaitu tidak adanya fasilitas pencarian lokasi toko online yang dituju. Hal tersebut menyebabkan pembeli kesulitan menemukan letak lokasi dari toko yang ingin ditemui. Masalah tersebut, maka dibuatlah aplikasi marketplace yang dilengkapi dengan fitur tambahan sistem informasi geografis yang memanfaatkan teknologi dari Google Maps API untuk memberikan informasi mengenai keberadaan suatu tempat usaha yang dapat diakses melalui smartphone dengan platform Android. Hasil uji coba implementasi terhadap 30 responden melalui kuesioner menunjukkan bahwa 72,6% responden sangat setuju aplikasi dapat diterapkan dengan baik, tampilan sudah sesuai (84,4%), dan dapat mempermudah menemukan lokasi dari toko atau iklan yang diinginkan (57,2%) ). Sistem diharapkan dapat diimplementasikan pada sistem selain Android. dan dapat mempermudah menemukan lokasi dari toko atau iklan yang diinginkan (57,2%). Sistem diharapkan dapat diimplementasikan pada sistem selain Android. dan dapat mempermudah menemukan lokasi dari toko atau iklan yang diinginkan (57,2%). Sistem diharapkan dapat diimplementasikan pada sistem selain Android.
Medical Costs Estimation Using Linear Regression Method Dwikasari, Ni Made Dita; Sutramiani, Ni Putu; Putri, Komang Sri Yanisa; Kusuma, Nyoman Tri Rahaditya; Pramana, Made Dimas Aldi Dwi; Darma, I Wayan Agus Surya
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 11 No 3 (2023): Vol. 11, No. 3, December 2023
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2023.v11.i03.p03

Abstract

Medical costs are a significant issue in the health sector. High healthcare cost lead to the need to anticipate financial risks for individuals and insurance providers. Therefore, medical cost data analysis is necessary to estimate future medical expenses. This research implements data mining techniques using Simple and Multiple Linear Regression methods to estimate medical costs. The dataset used consists of insurance claim data obtained from Kaggle, which includes attributes such as age, gender, body mass index, number of children, smoking habits, region, and medical charges. The research findings that Multiple Linear Regression outperforms Simple Linear Regression in estimating the provided dataset, with R2 value of 80% and lower ?? MSE and MAE values than Simple Linear Regression. The application of linear regression in insurance claim data analysis can provide significant benefits for patients, hospitals, and insurance providers. Overall, this research highlights the effectiveness of data mining techniques, specifically linear regression, in estimating healthcare costs.
Comparison Of Decision Tree, Linear Regression, and Random Forest Regressor Models for Predicting House Prices Sutramiani, Ni Putu
Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Vol 12 No 1 (2024): Vol. 12, No. 1, April 2024
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JIM.2024.v12.i01.p06

Abstract

A home is a basic requirement that offers comfort and security to its occupants. Because they are subject to price fluctuations, houses are also a potential option in an investing setting. As a result, buyers and investors require a system that can forecast house values. This study compares the effectiveness of decision trees, linear regression, and random forest regressors as models for predicting home prices. The dataset for predicting home prices was used in this study to conduct data exploration, pre-processing, modeling, and model comparison stages. The study's findings demonstrate that the random forest regressor offers the best prediction performance with lower assessment metrics, including MAE, MSE, RMSE, and R2 Score, making it the best option for predicting house prices and other financial outcomes.
Local Adaptive Thresholding Pada Preprocessing Citra Lontar Aksara Bali Ni Putu Sutramiani; IKetut Gede Darmaputra; Made Sudarma
Jurnal Teknologi Elektro Vol 14 No 1 (2015): (January - June) Majalah Ilmiah Teknologi Elektro
Publisher : Program Studi Magister Teknik Elektro Universitas Udayana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/MITE.2015.v14i01p06

Abstract

Balinesse lontar digitalization generates image file which acquired through a scanner or camera. Lontar image has noise because the results of the acquisition of the original lontar contained brown color that exist on the leaves. Therefore this paper focuses on improving the quality of the image to remove noise contained in the image by thresholding process. The method used in this paper is a Local Adaptive Thresholding. The test results in this paper generates the best image with the window (W)=70 and the threshold value (C)=0.05 which proved to remove noise at most of the few testing that has been done in this paper
Co-Authors A. A. N. H. Susila A.A.N.H. Susila Agus Ghana Putra Partama Anak Agung Kompiang Oka Sudana Anak Agung Ngurah Hary Susila Arsa, Dewa Made Sri D.M.S. Arsa D.P. Githa D.P.S. Putri Darma, Made Dwika Junata Desak Ayu Sista Dewi Desy Purnami Singgih Putri Dwi Putra Githa Dwikasari, Ni Made Dita Gede Bagas Aritama I Gede Hendra Parwata I Gusti Agung Indrawan I Gusti Ngurah Wira Dharma I ketut Gede Darma Putra I Made Sukarsa I Made Suwija Putra I Nyoman Piarsa I Nyoman Piarsa I Putu Arya Dharmaadi I Putu Eka Giri Gunawan I Wayan Agus Surya Darma I Wayan Agus Surya Darma I. M. S. Putra I. M. S. Raharja I.M.S. Putra I.M.S. Raharja Kadek Intan Cahya Putria Kadek Suar Wibawa Kusuma, Nyoman Tri Rahaditya Made Sudarma N.W.E.R. Dewi Ni Kadek Juniawatia Pertiwi, Ni Kadek Puja Ari Pramana, Made Dimas Aldi Dwi Putri, Komang Sri Yanisa Putu Oka Yudiantara Wibawa, K Suar Yonatan Adiwinata