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All Journal Indonesian Journal of Electronics and Instrumentation Systems IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Buana Informatika Sinkron : Jurnal dan Penelitian Teknik Informatika JMM (Jurnal Masyarakat Mandiri) SINTECH (Science and Information Technology) Journal Jurnal Informatika Universitas Pamulang Jurnal Sisfokom (Sistem Informasi dan Komputer) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) J-SAKTI (Jurnal Sains Komputer dan Informatika) JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Jurnal Mantik JPKMI (Jurnal Pengabdian Kepada Masyarakat Indonesia) BERNAS: Jurnal Pengabdian Kepada Masyarakat International Journal of Engineering, Science and Information Technology J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Multidisiplin Madani (MUDIMA) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Krisnadana Jurnal Krisnadana Journal of Social Work and Empowerment Jurnal Media Informasi Teknologi Galaksi Jurnal Nasional Teknologi Informasi dan Aplikasinya
Ida Bagus Gede Sarasvananda
Institut Bisnis Dan Teknologi Indonesia
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PKM: Penerapan Aplikasi Augmented Reality Pengenalan Tradisi Manda Berbasis Mobile I Kadek Ari Arya Maheswara; Ida Bagus Gede Sarasvananda
Journal of Social Work and Empowerment Vol 3 No 1 (2023): Journal of Social Work and Empowerment - September 2023
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

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Abstract

Desa Adat Bugbug merupakan sebuah desa bali aga yang memiliki banyak tradisi budaya yang sangat unik. Di Desa Adat Bugbug sendiri mempunyai beragam tradisi, banyak sekali tradisi yang ada di Desa Adat Bugbug yang belum di ketahui informasinya oleh masyarakat luas ataupun wisatawan. Berdasarkan hasil kuesioner dan wawancara terdapat masalah yaitu banyak orang yang belum mengetahui tradisi budaya yang ada di desa bugbug. Untuk meningkatkan minat akan tradisi yang dimiliki salah satunya tradisi manda maka perlu dilakukan pengenalan tradisi mulai dari sekarang. Aplikasi Augmented Reality Pengenalan Tradisi Manda Berbasis Mobile merupakan sebuah media pengenalan dalam bentuk android. Di dalam aplikasi ini berisikan informasi mengenai tradisi manda berupa gambar, teks dan objek 3d. Dalam pembuatan aplikasi ini menggunakan metode pengembangan Rapid Application Development dan beberapa bantuan aplikasi pengembangan seperti Blender, Unity 3d, dll. Hasil dari kegiatan PkM ini sudah sesuai dengan yang diharapkan dan dapat disimpulkan bahwa penilaian terhadap Aplikasi Augmented Reality Pengenalan Tradisi Manda Berbasis Mobile ini baik dalam menyampaikan informasi mengenai tradisi manda di Desa Adat Bugbug.
Pelatihan dan Pendampingan Pemasaran Produk Daun Mint Melalui Platform E-Commerce I Dewa Putu Gede Wiyata Putra; Ida Bagus Gede Sarasvananda; I Gusti Made Ngurah Desnanjaya
Journal of Social Work and Empowerment Vol 3 No 1 (2023): Journal of Social Work and Empowerment - September 2023
Publisher : Yayasan Sinergi Widya Nusantara (Sidyanusa)

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Abstract

Desa Apuan merupakan sebuah desa di Bali yang dimana masyarakyatnya mempunyai sebuah kelompok bernama Kelompok Wanta Tani Wahayu Listari yang memfokuskan pada pembudidayaan tanaman mint. Untuk pemasaran daun mint di Desa Apuan sendiri masih menggunakan cara tradisional, yang dimana penggunaan cara ini tentu saja kalah saing dan harga pasar dimonopoli oleh pedagang besar. Sehingga harga tanaman mint yang dibudidayakan oleh kelompok Wanita Tani Wahayu Listari mengalami penurunan harga atau harga dibawah pasar yang seharusnya. Oleh karena itu, Kelompok Wanita Tani Wahayu Listari dari Desa Apuan, Kecamatan Susut, Kabupaten Bangli diharapkan mengubah cara berdagang penjualan tanaman mint, dari tradisional menjadi modern dengan menggunakan E-Commerce yang sudah tersedia. Untuk menggunakan E-Commerce sendiri, Kelompok Wanita Tani Wahayu Listari diberikan pelatihan dan pendampingan untuk menggunakan aplikasi dan memasarkan tanaman daun mint di platform online. Hasil dari pelatihan ini adalah para pengusaha atau pembudidaya yang berada di Desa Apuan, bisa menjual produk tanaman daun mint dengan harga yang setara dengan harga pasar.
Rancang Bangun Tempat Sampah Pintar untuk Meningkatkan Manajemen Sampah Berbasis Mikrokontroler Desnanjaya, I Gusti Made Ngurah; Sandika, I Kadek Budi; Sarasvananda, Ida Bagus Gede; Aditama, Putu Wirayudi; Wiguna, I Komang Arya Ganda
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 13, No 2 (2023): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.89969

Abstract

Sampah merupakan masalah yang sering dihadapi olah warga Indonesia terutama dalam melakukan pengelolahan sampah, sampah yang tidak dikelolah dengan baik akan menyebabkan mudahnya penyebaran penyakit dan tempat yang bau serta kotor. Pada penelitian ini dibuat sebuah alat untuk mengatasi masalah tersebut yaitu tempat sampah pintar berbasis Arduino uno sebagai mikrokontroler dan sensor proximity dan infrared sebagai pemilah sampah. Tempat sampah pintar ini berguna untuk memilah sampah sesuai dengan jenisnya yaitu dibagi dalam 3 jenis, dimulai dengan sampah logam, sampah organik dan sampah non-organik. Metode yang digunakan dalam melakukan penelitian ini yaitu metode sekunder atau dengan mencari refrensi seperti jurnal maupun buku-buku. Sedangkan metode dalam melakukan pengumpulan data yaitu menggunakan metode SDLC (System Development Live Cycle) yang dimulai dari planing hingga maintance. Alat tempat sampah pintar ini dilakukan 30 kali pengujian dan memiliki status berhasil semua, dengan dilakukan 10 kali pengujian sampah jenis logam, 10 kali pengujian sampah jenis organic dan 10 kali sampah jenis non-organik. Pengujian dilakukan guna untuk mengetahui alat berjalan sesuai dengan yang diinginkan.
Decision Making Model for Temple Revitalization in Bali Using Fuzzy-SMARTER Combination Method Erlina Putri, Ni Putu Mita; Sudipa, I Gede Iwan; Wiguna, I Komang Arya Ganda; Sarasvananda, Ida Bagus Gede; Sunarya, I Wayan
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 1 (2024): Articles Research Volume 8 Issue 1, January 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i1.13177

Abstract

Bali is dominated by Hindus and temples as places of worship. Revitalization is carried out periodically in order to preserve the temple. Many factors are taken into consideration in revitalization decisions so that they can be approved by a group or government. Through the decision-making model of temple revitalization in Bali, the entire complexity of decision-making factors can be integrated so as to produce an objective priority ranking of improvements as supporting data for a revitalization decision. The combination of fuzzy sets and the SMARTER (Simple Multi Attribute Rating Technique Exploiting Rank) method can help solve unstructured problems in determining temple revitalization decisions. The calculation between the Alternative sacred building and the complexity factor criteria with a final value of more than 0.5 is included as a revitalization priority suggestion.
Analisis Sentimen Pada Pembelajaran Daring Di Indonesia Melalui Twitter Menggunakan Naïve Bayes Classifier Sarasvananda, Ida Bagus Gede; Selivan, Diana; Radhitya, Made Leo; Putra, I Nyoman Tri Anindia
SINTECH (Science and Information Technology) Journal Vol. 5 No. 2 (2022): SINTECH Journal Edition Oktober 2022
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v5i2.1241

Abstract

Education is one of the areas most affected by the covid-19 pandemic. Education during the pandemic must continue. To reduce the spread of covid-19 and learning activities can run as usual, the government, in this case the Ministry of Education and Culture, has implemented a distance education system in Indonesia. In addition, the response from the community is very important for an evaluation of the applied online learning. With the implementation of the policy regarding online learning in Indonesia, it is necessary to conduct a sentiment analysis to find out how the responses, opinions, or comments from the public and online learning actors related to online learning are currently being implemented. So the author conducted a research entitled Sentiment Analysis on Online Learning in Indonesia Through Twitter Using the Naïve Bayes Classifier Method to measure student responses regarding online learning during the covid -19 pandemic in Indonesia. The results of the accuracy of this study is 99.8% and the classification error is 0.12%. Of the total data entered, 83 tweets or 20% were included in the positive class, the negative class was 317 tweets or 80%.
Digitalisasi Prasasti dan Pelinggih Desa Baturan Gianyar Berbasis Augmented Reality Based Marker Sarasvananda, Ida Bagus Gede; Aditama, Putu Wirayudi; Iswara, Ida Bagus Ary Indra; Desnanjaya, I Gusti Made Ngurah
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.v6i3.1448

Abstract

Digitalization of the inscriptions and shrines of Batuan Gianyar Village based on Augmented Reality (AR) Markers is an innovative project that aims to preserve, promote and revive the cultural and historical heritage of Baturan Village, Gianyar, Indonesia, through the application of Augmented Reality technology. Baturan Village is known to have inscriptions and pelinggih which have high historical value. This research uses AR Marker technology to connect the physical world with digital content. The inscriptions and shrines of Baturan Village are marked with AR markers which allow users to access additional information about these objects via mobile devices. This AR application provides an immersive and interactive experience, allowing users to explore the history and meaning of inscriptions and shrines. The method used in developing this AR application is R & D. The results of this research after testing loading time using four different smartphones, Xiaomi Note8 Pro and iPhone 13, have a faster average loading time response compared to other smartphones.
Optimization of Stock Forecasting in Bali Retail Businesses to Support the Digital Economy Using Weighted Moving Average (WMA) Approach Welda, Welda; Dharsika, I Gede Eka; Sarasvananda, Ida Bagus Gede
Sinkron : jurnal dan penelitian teknik informatika Vol. 8 No. 4 (2024): Article Research Volume 8 Issue 4, October 2024
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i4.14149

Abstract

The development of the digital economy provides new challenges for the retail sector, especially in stock management. Accurate stock management is a key factor in improving operational efficiency and minimizing the risk of overstock and understock. This research aims to optimize stock forecasting in retail businesses in Bali using the Weighted Moving Average (WMA) method. WMA gives greater weight to the most recent data in order to forecast future demand for goods. Sales data from 2017 to 2021 was collected and used as the basis for forecasting. The forecasting process was conducted for several products, including Dolphin and Dua Kelinci. The results show that WMA is able to provide accurate predictions, especially for products with stable demand patterns. For Dolphin products, the WMA forecast for January 2024 predicted a demand of 14.8 units, with a Mean Absolute Deviation (MAD) of 3.64. Dua Kelinci products, however, experienced more fluctuations in demand, with a forecasted January 2024 demand of 7.6 units and a MAD of 4.3. Despite some variations, WMA proved to be more accurate compared to simpler methods like Simple Moving Average (SMA). By using WMA, retailers can more efficiently manage stock, improve customer satisfaction, and reduce the risk of overstocking or understocking. This research confirms the importance of integrating advanced forecasting methods in supporting the competitiveness of the retail sector in the digital economy era.
Klasterisasi Sebaran Kasus Covid-19 Di Kota Denpasar Menggunakan Algoritme K-Means Sarasvananda, Ida Bagus Gede; Desnanjaya, I Gusti Made Ngurah; Dewi, Yunita
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.357

Abstract

Various efforts have been made by the government to tackle the spread of Covid-19 in Denpasar City. Starting from creating a data collection system for Covid-19 patients and a map of the distribution of Covid-19 patients based on villages, which are updated every day and open for access to the general public. In the observations made by researchers, the Denpasar City Government needs to add efforts to organize the distribution of Covid-19 cases, by knowing the characteristics of Covid-19 patients and grouping villages based on similar characteristics so that the distinctive characteristics of each urban village group can be identified in Denpasar City. The problem that will be discussed in this research is how to cluster the distribution of Covid-19 cases using the K-means algorithm. The purpose of this proposed study is to cluster Covid-19 data using the K-Means algorithm. The clustering of the distribution of Covid-19 cases in Denpasar City was successfully carried out using the K-Means algorithm and the number of clusters used was 3, with cluster 0 (Low Cluster) of 16 villages / wards, cluster 2 (Regular Cluster) of 21 villages / wards, and cluster 1 (High Cluster) of 6 villages / wards. Cluster validity was tested using the Davies Bouldin method with the resulting value of -0.522.
The Balinese Lontar Manuscript Metadata Model: An Ontology-Based Approach Ida Bagus Gede Sarasvananda; Putu Gede Surya Cipta Nugraha; Ida Bagus Ary Indra Iswara
Jurnal Multidisiplin Madani Vol. 3 No. 9 (2023): September, 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/mudima.v3i9.5850

Abstract

The digitization of cultural heritage, particularly lontar manuscripts, is a focus of research to aid stakeholders in the management of lontar metadata. Managing the metadata of Balinese Lontar manuscripts through the application of ontology is one method for ensuring the preservation and accessibility of Balinese Lontar manuscripts. This research aims to apply ontology technology to the preservation of the cultural heritage of Balinese lontar manuscripts so that all information about lontar details can be categorized according to their respective properties and relevant information can be presented based on the user's preferences. This research method employs the stages of the Design Science Research Methodology (DSRM) when devising the ontology for the Balinese lontar manuscript. The results demonstrated that the construction of metadata using an ontology-based methodology can provide the information required to describe, categorize, and connect ontology entities. Metadata consists of entity descriptions, hierarchies and classifications, relationships and properties, as well as the necessary semantics for constructing effective ontologies
Klasterisasi Sebaran Kasus Covid-19 Di Kota Denpasar Menggunakan Algoritme K-Means Sarasvananda, Ida Bagus Gede; Desnanjaya, I Gusti Made Ngurah; Dewi, Yunita
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.357

Abstract

Various efforts have been made by the government to tackle the spread of Covid-19 in Denpasar City. Starting from creating a data collection system for Covid-19 patients and a map of the distribution of Covid-19 patients based on villages, which are updated every day and open for access to the general public. In the observations made by researchers, the Denpasar City Government needs to add efforts to organize the distribution of Covid-19 cases, by knowing the characteristics of Covid-19 patients and grouping villages based on similar characteristics so that the distinctive characteristics of each urban village group can be identified in Denpasar City. The problem that will be discussed in this research is how to cluster the distribution of Covid-19 cases using the K-means algorithm. The purpose of this proposed study is to cluster Covid-19 data using the K-Means algorithm. The clustering of the distribution of Covid-19 cases in Denpasar City was successfully carried out using the K-Means algorithm and the number of clusters used was 3, with cluster 0 (Low Cluster) of 16 villages / wards, cluster 2 (Regular Cluster) of 21 villages / wards, and cluster 1 (High Cluster) of 6 villages / wards. Cluster validity was tested using the Davies Bouldin method with the resulting value of -0.522.
Co-Authors Alexander Gebo Andika, I Gede Anny Kartika Sari Cokorda Pramartha Dewi, Yesi Ratna Dewi, Yunita Dharsika, I Gede Eka Eka Dharsika, I Gde Erlina Putri, Ni Putu Mita I Dewa Putu Gede Wiyata Putra I Dewa Putu Gede Wiyata Putra I Gede Adnyana I Gede Iwan Sudipa I Gusti Made Ngurah Desnanjaya I Kadek Ari Arya Maheswara I Ketut Gede Suhartana I Komang Arya Ganda Wiguna I Komang Arya Ganda Wiguna I MADE DEDY SETIAWAN . I Made Satria Bimantara I Nyoman Arnawan, I Nyoman I Nyoman Tri Anindia Putra I Putu Edi Setiawan I Putu Eka Giri Gunawan I Putu Hendika Permana I Wayan Supriana Ida Bagus Ary Indra Iswara Ida Bagus Ary Indra Iswara Made Suci Ariantini Maria Osmunda Eawea Monny Maryani, Putu Dian Ni Luh Juli Yetti Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Putu Gede Surya Cipta Nugraha Putu Praba Santika Putu Wirayudi Aditama Putu Wirayudi Aditama Radhitya, Made Leo Rahayu G., Ni Luh Wiwik Sri Retantyo Wardoyo Sandika, I Kadek Budi Saputra, I Wayan Kelvin Widana Saraswati, Ni Wayan Sumartini Sawitri, Nyoman Sintya Selivan, Diana Styawati, Styawati Sulistiawati, Ni Kadek Ayu Sunarya, I Wayan Suryadana, Kadek Thalib, Emmy Febriani Welda Wiguna, I Komang Arya Ganda