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All Journal Jurnal Ilmu Komputer dan Informasi Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Jurnal Ilmu Komputer Buletin Udayana Mengabdi Techno.Com: Jurnal Teknologi Informasi Jurnal Pekommas Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) JURNAL MEDIA INFORMATIKA BUDIDARMA Jusikom : Jurnal Sistem Komputer Musirawas Majalah Ilmiah UNIKOM Lontar Komputer: Jurnal Ilmiah Teknologi Informasi
Arsa, Dewa Made Sri
Program Studi Teknologi Informasi Fakultas Teknik Universitas Udayana
Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Social Sciences

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Aplikasi Augmented Reality Pengenalan Bangunan Adat Desa Penglipuran Anak Agung Ngurah Hary Susila; Dewa Made Sri Arsa
JURNAL MEDIA INFORMATIKA BUDIDARMA Vol 4, No 3 (2020): Juli 2020
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/mib.v4i3.2208

Abstract

Penglipuran Village is a tourism village on the island of Bali. One of the attractions of Penglipuran Village is the traditional, uniform building that has characteristics that are still maintained since ancient times. Many tourists who visit and take pictures in front of a traditional building, but do not know clear information about the name and function of the building. The purpose of this study is to design an application as an information medium for the introduction of traditional buildings in Penglipuran Village using Augmented Reality technology. The research model used for application design is the waterfall model. This Augmented Reality application was built with Autodesk Maya and Unity software so that it can display 3D custom building information to the real environment by using the brochure media as a marker. The results of the study were successful in designing an Augmented Reality application that can provide information about the traditional buildings of Penglipuran Village in the form of 3D animation, text and audio narration
RANCANG BANGUN PROTOTIPE SISTEM MONITORING VENDING MACHINE BERBASIS INTERNET OF THINGS virandi aries prasetya; I Nyoman Piarsa; Dewa Made Sri Arsa
Jusikom : Jurnal Sistem Komputer Musirawas Vol 6 No 1 (2021): Jusikom : Jurnal Sistem Komputer Musirawas JUNI
Publisher : LPPM UNIVERSITAS BINA INSAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32767/jusikom.v6i1.1237

Abstract

Vending Machine atau mesin penjual otomatis merupakan suatu alat yang dapat menjualkan produknya secara otomatis seperti makanan, minuman, mainan, dan lain-lain. Pada sistem pengoperasian Vending Machine saat ini masih membaca manual penghasilan dari setiap unit dan tidak bisa melihat stok yang tersisa didalam Vending Machine secara online, yang mengakibatkan kurangnya efisiensi kerja petugas yang membawa stok makanan lebih menuju Vending Machine dan pada sistem pemabayaran yang digunakan saat ini masih menggunakan uang kertas, dimana metode ini masih belum efektif dikarenakan saat melakukan transaksi pelanggan tidak bisa menerima uang kembalian dan tidak semua uang kertas bisa terbaca oleh mesin dikarenakan kondisi uang yang berbeda. Oleh sebab itu di buatkannya prototipe ini dengan menambahakan Teknologi IoT atau Internet of Things kedalam Vending Machine, dimana sistem yang akan dibuat dapat melihat data transaksi, data stok dan data penjualan tiap bulannya secara online melalui website maupun telegram dan merubah sistem pembayaran yang sebelumnya menggunakan uang kertas kini menggunakan kartu, agar pelanggan tidak perlu menyiapkan uang pas atau memilih uang yang masih bagus untuk melakukan transaksi. Disimpulkan dengan penerepan Teknologi IoT atau Internet of Things dapat memiliki keuntungan dari pihak pengelola maupun calon pelanggan saat melakukan transaksi.
Analisis System Usability Scale (SUS) Sebagai Evaluasi Perancangan Aplikasi E-Marketing Artshop Berbasis Web Anak Agung Ngurah Hary Susila; Dewa Made Sri Arsa
Techno.Com Vol 21, No 2 (2022): Mei 2022
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v21i2.5949

Abstract

Desa Tegalalang terkenal sebagai salah satu sentra produksi kerajinan tangan di Kabupaten Gianyar. Para perajin di Desa ini memproduksi produk seperti patung berbahan kayu, kerajinan berbahan kaleng bekas, kerajinan berbahan kayu sampah laut dan kerajinan berbahan kaca tuang cair. Perajin dan pemilik Artshop telah berinovasi untuk menghasilkan produk kerajinan tangan yang dapat bersaing dan mengikuti keinginan pasar/konsumen, namun saat ini terjadi penurunan omzet terutama produk yang akan diekspor ke luar negeri. Permasalahan ini timbul dikarenakan para perajin dan pemilik Artshop masih kesulitan untuk memasarkan produk kerajinan tangannya. Untuk mengatasi permasalahn tersebut maka perlu dibuatkan sebuah aplikasi E-Marketing sebagai wadah untuk memasarkan produk kerajinan yang telah dibuat oleh perajin dan pemilik Artshop. Metode yang digunakan pada penelitian yaitu User Centered Design (UCD) digunakan pada tahapan perancangan aplikasi dan System Usability Scale (SUS) digunakan untuk menganalisis fungsi dan kegunaan dari website e-marketing ini. Hasil penelitian ini adalah aplikasi berbasis website E-Marketing yang digunakan perajin untuk memasarkan produk dan transaksi produk. Aplikasi dilengkapi fitur Live Chat dan Dual Bahasa untuk menjangkau konsumen dan pasar dalam negeri maupun luar negeri. Hasil System Usability Scale(SUS) dengan jumlah responden 10 pengguna mengahasilkan rata-rata skor 73,5. 
Sistem Tiket Digital berbasis Telegram untuk Mengelola Pembayaran Biaya Pedagang Pasar I Putu Arya Dharmaadi; Dewa Made Sri Arsa; I Gusti Made Arya Sasmita
Techno.Com Vol 21, No 4 (2022): November 2022
Publisher : LPPM Universitas Dian Nuswantoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33633/tc.v21i4.6877

Abstract

Pasar tradisional umumnya memiliki skema pembayaran yang unik kepada para pedagang yang berjualan. Setiap tahun mereka dikenakan biaya sewa lapak, setiap bulan membayar biaya listrik, dan setiap hari dikenakan iuran harian, seperti iuran kebersihan, iuran air, dan lain sebagainya. Petugas pemungut pembayaran umumnya membawa setumpuk karcis yang akan diberikan apabila pedagang melunasi kewajibannya. Penggunaan karcis konvensional sebagai tanda bukti pembayaran tersebut memiliki beberapa kelemahan, seperti misalnya sulitnya memantau dan mengelola data pembayaran, baik dari sisi pimpinan pasar maupun dari sisi pedagang pasar. Selain itu, karcis sering kali dibuang-buang sehingga akan menimbulkan sampah. Oleh karena itu, dibutuhkan sistem karcis digital sebagai bukti transaksi pembayaran iuran. Dengan sistem ini, petugas pemungut iuran yang menerima uang dari pedagang wajib memasukkan data transaksi ke sistem sehingga sistem ini akan mengirimkan karcis digital ke akun telegram pedagang pasar yang sudah didaftarkan. Pedagang pasar bisa melihat riwayat pembayarannya secara lengkap melalui karcis digital tersebut. Pada akhirnya, pengelola pasar bisa memantau data pembayaran pedagang pasar dengan mudah untuk meminimalkan kebocoran pendapatan.
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.
Analisis System Usability Scale (SUS) dan Perancangan Sistem Self Service Pemesanan Menu di Restoran Berbasis Web Anak Agung Ngurah Hary Susila; Dewa Made Sri Arsa
Majalah Ilmiah UNIKOM Vol 21 No 1 (2023): Majalah Ilmiah Unikom
Publisher : Universitas Komputer Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34010/miu.v21i1.10683

Abstract

COVID-19 is a global pandemic with 220 countries infected with this virus and 55,326,907 confirmed cases. In Indonesia, from March to November 2021, there were 478,720 positive cases, where these cases were identified from clusters of offices, factories, educational establishments, hospitals/health centers, and finally a new cluster was found in a restaurant. The Ministry of Tourism and Creative Economy has issued guidelines for preventing COVID-19 in restaurants by providing menu lists and ordering food or drinks based online. The purpose of the study was to design an architectural model for the application of self service menus and orders at restaurants. The method used for designing this system is the Waterfall method with the System Usability Scale (SUS) method for testing application usability. The results of the research are the self-service architectural model of the menu and order application, there are two user actors, namely visitors and restaurant admins. The self service menu and order application architecture model has a menu page that can be accessed by guests and admins, namely the main system page, food and beverage menu, order check out page, admin order page and to access the system you can use a QR Code. The results of the application usability test using the System Usability Scale (SUS) method get an average value of 70 or the Good category (good). Key Words: Architecture Models, COVID-19, Restaurant, Self Service Application, System Usability Scale
Klasifikasi Kecanduan Smartphone pada Pelajar Sekolah Menengah Atas menggunakan Metode Machine Learning Berbasis Feature Weighting Ni Kadek Cinthya Bandinithya Dewi; Ni Kadek Ayu Wirdiani; Dewa Made Sri Arsa
JEPIN (Jurnal Edukasi dan Penelitian Informatika) Vol 8, No 1 (2022): Volume 8 No 1
Publisher : Program Studi Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/jp.v8i1.51914

Abstract

Kecanduan terhadap smartphone dapat berakibat buruk bagi pelajar. Penelitian ini bertujuan memprediksi kecanduan smartphone di kalangan siswa-siswi SMA dengan menggunakan metode terbaik dari klasifikasi. Klasifikasi dilakukan untuk dapat mendukung pengambilan keputusan terkait masalah kecanduan smartphone. Algoritma C4.5, Naive Bayes (NB), dan K-Nearest Neighbor (KNN) merupakan metode klasifikasi machine learning yang digunakan pada penelitian ini. Metode ini merupakan metode klasifikasi machine learning yang termasuk dalam kategori top 10 dalam menyelesaikan kasus prediksi. Untuk dapat meningkatkan kinerja metode-metode machine learning tersebut, maka dilakukan seleksi atribut sebelum proses klasifikasi menggunakan Forward Selection, Backward Elimination, dan dengan pendekatan korelasi Linear Regression. Hasil penelitian menunjukkan bahwa metode terbaik untuk klasifikasi kecanduan smartphone adalah KNN dengan seleksi atribut menggunakan Linear Regression berdasarkan korelasi weight, yang mana atribut inputan yang berpengaruh secara signifikan terhadap output kecanduan smartphone (Y) adalah umur (X1), durasi penggunaan smartphone (X5), aktifitas (X6), dan kualitas tidur (X7) dengan  model K = 44 dan numerical measure = Chebychev, menghasilkan accuracy = 79.03%, precision = 78.79%, recall = 81.25%, AUC = 0.828, dan running times = 1 detik. Output dari penelitian ini menunjukan prediksi dengan menggunakan metode terbaik yaitu presentase tingkat kecanduan siswa dengan tidak kecanduan serta presentase kecanduan smartphone dengan variabel lainnya.
A Prototype of Monitoring and Early Warning System of Public Water Flow Interference based on Arduino, Firebase Realtime DB, and Android Dharmaadi, I Putu Arya; Arsa, Dewa Made Sri; Sasmita, Gusti Made Arya
Jurnal Pekommas Vol 6 No 2 (2021): October 2021
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v6i2.3774

Abstract

The majority of the population uses clean water sourced from the PDAM (Indonesian Regional Water Supply Company) pipeline to meet their daily needs. However, clean water utilization is sometimes not smooth because the upstream's water supply is stalled or the PDAM pipeline disrupted. This disruption that often occurs slowly causes routine community activities, such as bathing or cooking, become stop because clean water is a basic need. Thus, a system is needed to provide early warning when the PDAM water supply starts to have problems so that the community can make initial anticipation. This study designed a prototype of an early warning system using an Arduino-based water flow sensor that records water flow discharge data on the PDAM pipeline and sent to the Firebase Realtime Database to be monitored in real-time through an Android application. The system testing is done by black-box testing, i.e. we check all functions of this system, mainly on sending a warning notification when the water flow debt is at a low rate. In the end, by using this system, the user can prepare themselves early, such as collecting residual water debit in the tub and save water when there is a disruption in PDAM water.
Integrated Information System Smart E: Hospital the Innovation and Improvement of the Services and Management Hospital Oka Sudana; Dewa Made Sri Arsa; R. Arif Yudarmawan; I.D.A. Manik Mas Astawastini
Lontar Komputer : Jurnal Ilmiah Teknologi Informasi Vol. 14 No. 03 (2023): Vol. 14, No. 03 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.p01

Abstract

The use of technology can transform conventional systems into electronic-based systems. Electronic systems have been widely used in governance, organizations, and companies where administration is carried out electronically (e-Government). Hospitals usually already have systems in place, but they are not yet integrated, including integration with BPJS Services, EClaim, and the SATUSEHAT Platform, a new policy from the Ministry of Health Republic of Indonesia starting July 2022. BPJS integration includes diagnosis standards guided by Minister of Health Regulation No. 76 of 2016 concerning INA-CBGs Technical Guidelines, funds application to BPJS, cost proportions, and medical personnel fees. Another service at the Teaching Hospital is the management of Education for Professional Doctors (Co-ass) and Specialists (Residents). Another service at the Teaching Hospital is the management of Education for Professional Doctors (Co-ass) and Specialists (Residents). The solution provided is to create E-Hospital. It is an integrated hospital management information system with an SSO Model and Multi-Channel Access Technology for notification. This system consists of Front Office Modules, including Admission Queues, Medical Services, Pharmacy, Employment, Payroll and Medical Personnel Fees, Automatic integration with BPJS, EClaim, SATUSEHAT, Finance, and Warehouse and Equipment.
Co-Authors Adi Nurhadiyatna Agung Santoso Agus Muliantara Anak Agung Kompiang Oka Sudana Anak Agung Ngurah Hary Susila Arya Dharmadi Ayu Wirdiani Darma, Made Dwika Junata Desak Ayu Sista Dewi Desy Purnami Singgih Putri Dwi Putra Githa G M Arya Sasmita Grafika Jati I Gede Ary Suta Sanjaya I ketut Gede Darma Putra I Made Sukarsa I Made Widiartha I Nyoman Piarsa I Putu Agung Bayupati I Putu Arya Dharmaadi I Putu Yoga Pertama Yasa I Wayan Agus Surya Darma I.D.A. Manik Mas Astawastini Kade Bramasta Vikana Putra M H Hilman Made Prastha Nugraha Muhammad Febrian Rachmadi Ni Kadek Cinthya Bandinithya Dewi Ni Putu Sutramiani Nurul Hanifah R. Arif Yudarmawan Rafli Filano Rika Hari Wahyuni Sasmita, Gusti Made Arya Sudana, A. A. Kompiang Oka virandi aries prasetya Yudarmawan, R. Arif