Article Per Year (5 Year)
p-Index From 2021 - 2026
5.332
P-Index
This Author published in this journals
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
Religion Agriculture, Biological Sciences & Forestry Humanities Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 30 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 30 Documents
Search

 1   2   3 
RANCANG BANGUN SISTEM INFORMASI MANAJEMEN KEUANGAN PADA PT. DWI EKA BAKTI BERBASIS WEBSITE Sawitri, Nyoman Sintya; Desmayani, Ni Made Mila Rosa; Thalib, Emmy Febriani; Rahayu G., Ni Luh Wiwik Sri; Sarasvananda, Ida Bagus Gede
JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika) Vol 9, No 4 (2024)
Publisher : STKIP PGRI Tulungagung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29100/jipi.v9i4.5648

Abstract

Pada era teknologi yang pesat, PT. Dwi Eka Bakti, yang bergerak di bidang perdagangan dan jasa, mengalami kendala pencatatan keuangan manual menggunakan Microsoft Excel, seperti kesalahan pencatatan dan keterlambatan pelaporan. Penelitian ini bertujuan merancang dan membangun Sistem Informasi Manajemen Keuangan berbasis web untuk mengatasi masalah tersebut, menggunakan metode waterfall yang meliputi analisis kebutuhan, desain sistem, implementasi, pengujian, serta pemeliharaan. Dilakukan di PT. Dwi Eka Bakti, Denpasar, Bali, dengan subjek staf keuangan dan manajemen, data dikumpulkan melalui wawancara, observasi, dan dokumentasi. Sistem dirancang dengan UML dan dibangun menggunakan PHP, Laravel, dan MySQL. Hasilnya, sistem memudahkan pembuatan laporan keuangan dan mengatasi kendala sebelumnya. Fitur-fitur meliputi login, dashboard, data user, perusahaan, kategori akun, transaksi, dan laporan keuangan. Pengujian Black Box menunjukkan sistem berfungsi baik dan sesuai harapan. Kesimpulannya, sistem meningkatkan efisiensi dan akurasi pengelolaan keuangan PT. Dwi Eka Bakti, layak digunakan, dan memberikan informasi keuangan real-time. Disarankan untuk menambah fitur dan metode laporan lebih canggih guna meningkatkan kualitas laporan keuangan.
Semantic Approach for Digital Restoration of Balinese Lontar Manuscripts Sarasvananda, Ida Bagus Gede; I Gde Eka Dharsika; Saputra, I Wayan Kelvin Widana; Welda, Welda
Jurnal Nasional Pendidikan Teknik Informatika : JANAPATI Vol. 13 No. 3 (2024)
Publisher : Prodi Pendidikan Teknik Informatika Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/janapati.v13i3.84916

Abstract

Balinese lontar manuscripts represent a cultural heritage containing significant historical, religious, and scientific values. However, their centuries-old age makes them vulnerable to damage. This research proposes a semantic-based digital restoration solution to address this issue. The semantic approach comprehends the meaning and structure of the lontar text, ensuring an accurate restoration process that preserves the original meaning. The development of the semantic-based digital restoration is built using the Design Science Research Methodology (DSRM). The system is equipped with data management features that accommodate new data, ensure accurate information updates, and maintain the integrity of relationships between entities. Testing through SPARQL query approaches and black-box testing indicates that data additions, deletions, and modifications function well without conflicts or inconsistencies. Moreover, the system performs as expected and is ready for use. The implications of this research suggest that semantic-based digital restoration can be an effective solution for preserving Balinese lontar manuscripts and similar cultural heritage.
Streamlining Inventory Forecasting with Weighted Moving Average Method at Parta Trading Companies Suryadana, Kadek; Sarasvananda, Ida Bagus Gede
Jurnal Galaksi Vol. 1 No. 1 (2024): Galaksi - May 2024
Publisher : Yayasan Sraddha Panca Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/galaksi.v1i1.2

Abstract

The process that is currently running at Parta trading companies, along with its development, problems that often occur in the warehouse section arise, namely the accumulation of stock of goods, there are even some stock items that are not available in the warehouse. This happens because the demand for goods from consumers is uncertain at any time, because the warehouse staff still use manual methods, namely making guesses in controlling stock checks and resulting in orders for stock of goods to be purchased that do not match the number of consumer needs at any time. In overcoming the problems experienced by Parta trading companies, the author built an inventory forecasting information system, where this system can assist in the inventory forecasting process which can calculate the estimated number of goods to be purchased based on previous sales data. Based on Black Box Testing, this system runs as expected. From the problems and solutions described above, a website-based inventory forecasting system was created with the ability to predict a product or item in the future, where this system plays a very important role in being used for stock availability in the warehouse at Parta trading companies.  This result of forecasting test was carried out by analyzing the sales of ceramic products sold at Parta trading companies for a period of 1 year and 12 months, where in the test using the 3-month method in month 12, the MAD error value was 100.66666666667, in the 4-month method in month 12, the MAD error value was 186, in the 5-month method in month 12, the MAD error value was 166.2, the 6-month method in month 12, the MAD error value was 160.619048.
Sentiment Analysis of the Relocation of the National Capital on Social Media X Dewi, Yesi Ratna; Saraswati, Ni Wayan Sumartini; Monny, Maria Osmunda Eawea; Sarasvananda, Ida Bagus Gede; Andika, I Gede
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 2 (2025): Research Articles April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i2.14622

Abstract

The relocation of the national capital is a national strategic development project that seeks input from the public. This research analyzes public sentiment towards the relocation of the capital city using the Lexicon SVM method with data from X social media. The analysis was conducted in two languages, namely Indonesian and English, to find out how public opinion on the relocation of Indonesia's capital city at the global level. The sentiment classification results show that in Indonesian, public sentiment tends to be balanced with a model accuracy of 86.79%, where 51.3% is positive sentiment and 48.7% is negative. Meanwhile, in English, positive sentiment is more dominant with a model accuracy of 89.64%, where 83.3% is positive sentiment and 16.7% is negative sentiment. Evaluation using confusion matrix shows that this model provides good results, with high precision, recall, and F1-score values. Visualization using WordCloud and frequency analysis of unigrams, bigrams, and trigrams showed that positive sentiments mostly discussed the development aspects and government policies, while negative sentiments highlighted the social and economic impacts of the relocation. In addition, further analysis shows that public sentiment fluctuates based on important government announcements and major events related to the project. These findings demonstrate the importance of monitoring public opinion over time to understand shifts in perception. This research provides insights to the government and policymakers in understanding public opinion regarding the relocation of the nation's capital. By understanding sentiment patterns, more appropriate policies can be designed to increase public acceptance of the project and address public concerns effectively.
OPTIMALISASI PEMASARAN PRODUK PERTANIAN MELALUI MARKETPLACE: STUDI KASUS KELOMPOK TANI CABAI NUSANTARA Sarasvananda, Ida Bagus Gede; Desnanjaya, I Gusti Made Ngurah; I Dewa Putu Gede Wiyata Putra; Iswara, Ida Bagus Ary Indra
Jurnal Widya Laksmi: Jurnal Pengabdian Kepada Masyarakat Vol. 5 No. 1 (2025): Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) - Inpress
Publisher : Yayasan Lavandaia Dharma Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59458/jwl.v5i1.113

Abstract

Kegiatan Pengabdian kepada Msyarakat (PkM) ini bertujuan untuk mengidentifikasi dan menganalisis tantangan yang dihadapi oleh Kelompok Tani Bumi Cabai Nusantara dalam pemasaran produk cabai serta merumuskan strategi optimalisasi pemasaran melalui pemanfaatan marketplace. Metode pelaksanaan kegiatan ini mencakup analisis kondisi mitra, identifikasi kebutuhan pemasaran produk, pendaftaran akun dan produk di platform marketplace, serta pelatihan dan pendampingan bagi petani dalam menggunakan teknologi pemasaran digital. Teknik analisis yang digunakan adalah deskriptif kualitatif untuk mengevaluasi hasil dari penerapan strategi yang dilakukan. Hasil kegiatan menunjukkan bahwa penerapan pemasaran digital dapat meningkatkan jangkauan pasar dan margin keuntungan petani, dengan dukungan pelatihan yang memadai serta pengembangan brand yang kuat. Kesimpulan dari PkM ini adalah bahwa dengan memahami dinamika pasar dan memanfaatkan platform digital, petani dapat meningkatkan pendapatan dan daya saing produk mereka. Selain itu, evaluasi berkelanjutan dan pendampingan pasca-pelatihan menjadi kunci untuk memastikan keberlanjutan dan efektivitas strategi pemasaran yang diterapkan
Immersive Digital Data Asset as a Digital Preservation Model for Tangible and Intangible Culture Towards the Indonesia Archipelago Metaverse Iswara, Ida Bagus Ary Indra; Sarasvananda, Ida Bagus Gede; Pramartha, Cokorda
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.980

Abstract

This research embarks on a critical mission to develop and comprehensively evaluate the Immersive Digital Data Asset (IDDA) model, positing it as an innovative and robust cloud-based framework. This framework is meticulously designed for the digital preservation of Indonesia's exceptionally rich and diverse tangible and intangible cultural heritage, a crucial endeavor situated within the rapidly emerging and transformative landscape of the Indonesia Archipelago Metaverse. The study directly confronts and seeks to mitigate significant, persistent challenges prevalent in current cultural digitalization efforts across the nation. These challenges notably include the pervasive limited access to advanced technological infrastructure in many remote and underserved areas, compounded by the inherently high development and ongoing maintenance costs associated with cutting-edge immersive technologies. To achieve its objectives, this research rigorously employs a Systematic Literature Review (SLR) methodology. This approach allows for a meticulous analysis of existing academic trends, a systematic identification of crucial gaps within the current literature pertaining to digital cultural preservation, and a synthesis of best practices. The compelling findings unequivocally demonstrate the profound and multifaceted potential of the IDDA model. It serves not only as a powerful tool for safeguarding invaluable cultural assets from degradation and loss but also as a catalyst for fostering dynamic interdisciplinary research collaborations, both domestically and internationally. Furthermore, the model is shown to significantly stimulate the creative economy across Indonesia by enabling new forms of cultural expression and monetization within the digital realm. Nevertheless, the successful, widespread, and sustainable long-term implementation of the IDDA model is critically contingent upon substantial and concerted improvements in technological accessibility nationwide, ensuring equitable participation. This also necessitates a sustained, strategic, and collaborative investment from various stakeholders in its continuous development, infrastructure enhancement, and content creation to fully realize its transformative potential for Indonesia's cultural future.
Inspired GWO-based Multilevel Thresholding for Color Images Segmentation via M. Masi Entropy I Made Satria Bimantara; I Wayan Supriana; I Komang Arya Ganda Wiguna; Ida Bagus Gede Sarasvananda
Jurnal Buana Informatika Vol. 16 No. 2 (2025): Jurnal Buana Informatika, Volume 16, Nomor 02, Oktober 2025
Publisher : Universitas Atma Jaya Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Image segmentation is crucial in image processing and computer vision, with multilevel thresholding (ML-ISP) offering robust solutions for complex images. However, effectively applying ML-ISP to RGB color images remains a challenge due to computational complexity and the limitations of traditional optimization algorithms, such as the Grey Wolf Optimizer (GWO). This study proposes an Inspired Grey Wolf Optimizer (IGWO) to address these issues and enhance ML-ISP for RGB color images. The performance stability of IGWO is comprehensively evaluated using three distinct objective functions: the Otsu method, the Kapur Entropy, and the M. Masi Entropy. Qualitative and quantitative analyses using PSNR, SSIM, and UQI were conducted on benchmark images. Results consistently demonstrate that IGWO, particularly with M. Masi Entropy, achieves superior segmentation quality. This research incorporates GridSearch-based hyperparameter tuning. The findings highlight the effectiveness and robustness of the proposed IGWO approach for complex ML-ISP tasks on color images.
Enhancing Sales Reporting with Data Warehousing and Visualization: A Case Study at Graha Mas Sarasvananda, Ida Bagus Gede; Maryani, Putu Dian; Arnawan, I Nyoman
Jurnal Media Informasi Teknologi Vol. 2 No. 2 (2025): Oktober 2025
Publisher : Digital Innovation

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69616/mit.v2i2.237

Abstract

This study aims to enhance the sales reporting process by implementing a data warehouse and interactive data visualization, with a case study at Graha Mas. The research adopts the Kimball Nine Step Methodology to guide the development of the data warehouse, supported by the Extract, Transform, Load (ETL) process using Pentaho Data Integration (PDI). Sales data sourced from Excel files undergoes batch processing to ensure data consistency and cleanliness before being stored in the warehouse. A star schema model was applied to structure the data warehouse, consisting of dimension tables for customers, products, and locations, and fact tables for sales categorized by customer, product, and city. The final data is visualized through Google Data Studio dashboards, enabling users to interactively explore sales trends by product, time period, and region. These visualizations assist business decision-makers in identifying high-performing products, monitoring regional sales distribution, and planning inventory more effectively. User acceptance testing (UAT) involving business users resulted in an acceptance score of 89%, indicating that the system meets user needs in terms of data clarity, accuracy, and usability. This research concludes that the proposed solution significantly improves the sales monitoring process at Graha Mas and can serve as a practical reference for similar businesses seeking to adopt cloud-based business intelligence solutions.
Towards Adaptive Learning: A Bayesian Knowledge Tracing Approach to Student Skill Prediction Bayesian Knowledge Tracing for Modeling Daily Living Skills in Children with ASD Dharsika, I Gde Eka; Setiawan, I Made Dedy; Sarasvananda, Ida Bagus Gede
Sinkron : jurnal dan penelitian teknik informatika Vol. 10 No. 1 (2026): Article Research January 2026
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v10i1.15605

Abstract

Autism Spectrum Disorder (ASD) presents challenges in mastering Activities of Daily Living (ADLs), which are essential for independence. This study applies Bayesian Knowledge Tracing (BKT) to model the mastery of five ADL skills—eating, dressing, toothbrushing, combing, and bathing—using data from 27 learners (1,350 responses). BKT parameters, including initial mastery, learning transition, guessing, and slipping, were used to estimate individual learning trajectories. Results showed that eating was the easiest skill (predicted mastery = 0.78), while bathing and combing were the most difficult (<0.55). The model achieved an overall accuracy of 0.62, with strong detection of actual mastery (TP = 722) but a high false-positive rate (FP = 429), indicating sensitivity to the guessing parameter. Learning curves and heatmaps revealed substantial inter-student variability. A comparative evaluation with the Performance Factors Analysis (PFA) model showed that BKT achieved higher overall predictive accuracy (BKT = 0.6356; PFA = 0.5917), while PFA demonstrated a higher AUC (0.6747) but exhibited strong positive-class bias in classification. These findings demonstrate the usefulness of BKT in modeling ADL development and highlight its potential for adaptive learning systems that support personalized interventions for ASD learners.
Rancang Bangun Aplikasi ‘ekoSaku’ dengan Menggunakan Metode Design Thinking Ni Luh Juli Yetti; I Ketut Gede Suhartana; Ida Bagus Gede Sarasvananda
Jurnal Nasional Teknologi Informasi dan Aplikasinya Vol. 4 No. 2 (2026): JNATIA Vol. 4, No. 2, Februari 2026
Publisher : Informatics Department, Faculty of Mathematics and Natural Sciences, Udayana University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24843/JNATIA.2026.v04.i02.p12

Abstract

Indonesia continues to face serious waste management issues, particularly with non-organic waste. According to the National Waste Management Information System (SIPSN), the total waste generation in 2024 reached 34,214,607.36 tons across 317 districts and cities. This study presents the design of a mobile-based application called ekoSaku, aimed at facilitating the digital collection and exchange of recyclable waste between users and agents. The development process applies the Design Thinking methodology, consisting of five stages: empathize, define, ideate, prototype, and test. User needs were identified through questionnaires distributed to 15 respondents, focusing on daily waste-handling behavior and digital expectations. These insights shaped the app’s core features such as waste photo uploads, home pickups, price setting by agents, transaction tracking, and a point-based reward system. The prototype was evaluated using the System Usability Scale (SUS), with an average score of 81, indicating excellent usability. The results show that ekoSaku offers a user-friendly and effective approach to digital waste management.
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