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All Journal Jurnal Ilmiah Merpati (Menara Penelitian Akademika Teknologi Informasi) Sinkron : Jurnal dan Penelitian Teknik Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Jusikom : Jurnal Sistem Komputer Musirawas JURNAL ILMU KOMPUTER INDONESIA Jurnal Scientia Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) TECHNOVATE Galaksi KOMET
Sandhiyasa, I Made Subrata
STMIK STIKOM Indonesia
Agriculture, Biological Sciences & Forestry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Environmental Science Mathematics Public Health Social Sciences Other

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PENDAMPINGAN DAN PELATIHAN SISTEM INFORMASI BANK SAMPAH DI TPS 3R BAWANA LESTARI DESA PANGKUNGKARUNG Kartini, Ketut Sepdyana; Saraswati, Ni Wayan Sumartini; Sandhiyasa, I Made Subrata; Putra, I Nyoman Tri Anindia; Pramest, Ni Luh Gede Sintia
Jurnal Widya Laksmi: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2023): Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat)
Publisher : Yayasan Lavandaia Dharma Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59458/jwl.v3i2.62

Abstract

Bank Sampah merupakan suatu lembaga yang digunakan untuk mengelola kegiatan pengumpulan, pemilahan dan pengolahan sampah dari masyarakat setempat dengan tujuan mendaur ulang dan dijual atau diolah menjadi produk yang memiliki nilai ekonomi. Penulisan ini dilakukan di Bank Sampah Bawana Lestari Desa Pangkungkarung, Kecamatan Kerambitan, Kabupaten Tabanan. Pengolahan data di Bank Sampah masih dilakukan secara manual dengan menggunakan buku. Oleh karena itu, penulis membuat sebuah sistem informasi berbasis web yang dapat membantu proses pencatatan di Bank Sampah. Pengembangan sistem menggunakan metode waterfall Sedangkan pengumpulan data penulis menggunakan metode wawancara, observasi, kepustakaan, dokumen dan arsip. Pengujian sistem menggunakan black box testing dan user experience quisioner (UEQ). Hasil dari penulisan ini adalah sebuah sistem berbasis web yang dapat membantu petugas dalam melakukan pencatatan dan nasabah dapat melakukan pengecekan saldo dan penjualan sampah secara mandiri.
Sentiment Analysis on Rupiah Depreciation Against USD Using XGBoost Indrayuni, Ni Komang Purnama; Desmayani, Ni Made Mila Rosa; Pramawati, I Dewa Ayu Agung Tantri; Sandhiyasa, I Made Subrata; Widiartha, Komang Kurniawan
Journal of Applied Informatics and Computing Vol. 9 No. 5 (2025): October 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i5.10751

Abstract

The depreciation of the rupiah against the United States dollar (USD) affects purchasing power and economic stability. Public responses are widely expressed through social media such as X and Instagram. This study aims to analyze public sentiment using the Extreme Gradient Boosting (XGBoost) algorithm. Data were collected through crawling and scraping, consisting of 13,443 X comments and 11,287 Instagram comments between January 2024 until April 2025. Preprocessing included emoji conversion, cleaning, case folding, normalization, tokenization, stopwords removal, and Stemming. Sentiment labeling was performed using the InSet Lexicon, TF-IDF weighting, and data splitting   into 70:30, 80:20, and 90:10. The XGBoost model was trained with parameters: 100 estimators, learning rate 0.1, max depth 6, and subsample 0.8. Results showed accuracies of 74–76% on X data and stable 77% on Instagram. Model evaluation using precision, recall, and F1-score confirmed consistency: precision 0.76% – 0.84%, recall 0.86%–0.88%, and F1-score 0.82%–0.86%, reflecting a balance between accuracy and robustness in detecting sentiments. Sentiment distribution revealed that X is dominated by negative opinions (38%), while Instagram is more positive (41%). These findings confirm the effectiveness of XGBoost in sentiment classification and provide valuable insights for policymakers to design adaptive communication and monetary strategies based on digital public opinion.
Analysis Of Optimising Cooperative Performance Through Digital-Based Reporting Management System Suandana, Ni Putu Widantari; Sandhiyasa, I Made Subrata; Aditama, Putu Wirayudi; Adnyana, I Nyoman Widhi
Jurnal Scientia Vol. 13 No. 03 (2024): Education and Sosial science, June - August 2024
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/scientia.v13i03.2521

Abstract

This research aims to examine the optimization of Cooperative performance through a digital-based reporting management system. The case study method is used to analyze user needs and design relevant system features. The needs analysis is useful in identifying constraints and needs in the current reporting system. Based on this analysis, features such as interactive dashboards, real-time reporting, digital financial management, and member management were designed and tested. The results show an increase in operational efficiency, transparency, and accountability of the cooperative. The implementation of this system successfully met user needs and improved the cooperative's performance
Optimising Double Exponential Smoothing for Sales Forecasting Using The Golden Section Method Pradnyani, Kadek Dian; Sandhiyasa, I Made Subrata; Gunawan, I Made Agus Oka
Jurnal Galaksi Vol. 1 No. 2 (2024): Galaksi - August 2024
Publisher : Yayasan Sraddha Panca Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/galaksi.v1i2.21

Abstract

To achieve maximum profits and a satisfying impression on consumers, companies are required to have the right strategy in selling their products. In determining the right strategy, it requires the availability of accurate information that can be analyzed to determine a sales strategy so that it can increase the number of sales and generate large profits, namely by forecasting. In the Double Exponential Smoothing method, the problem that arises is determining the optimum α parameter value to provide the smallest size of forecasting error, which is sought using the trial and error method, so it requires quite a lot of time. To overcome this problem, a non-linear optimization algorithm using the Golden Section algorithm is used. The Golden Section algorithm is an algorithm that uses the principle of reducing the boundary area α which might produce a minimum objective function value. It is hoped that this forecasting design will be able to provide information that will help the company take decisions or steps in providing stock of goods for sale so that there will be no overstock in the warehouse and can increase Dewaayu Shop's profits.  based on the test results, the value of  MAPE value is obtained of 21.59579369% and RMSE value of 2.42465034.
Pendampingan Instagram Marketing dalam Membangun Ketrampilan Pemasaran Digital dan Brand Awareness Produk UMKM Suandana, Ni Putu Widantari; Aditama, Putu Wirayudi; Sandhiyasa, I Made Subrata; Prabhawa , I Kadek Angga Surya; Atmaja, Ketut Jaya; Sarasvananda , Ida Bagus Gde; Anandita, Ida Bagus Gede
Jurnal KOMET Vol 1 No 1 (2024): Jurnal Komet: Kolaborasi Masyarakat Berbasis Teknologi : Volume 1 Nomor 1, Juni 2
Publisher : Yayasan Sinergi Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/komet.v1i1.11

Abstract

UMKM di Desa Geluntung, Bali memiliki produk unggulan contohnya produk keripik, meskipun populer secara lokal, menghadapi tantangan dalam memanfaatkan Instagram untuk memperluas jangkauan pasar dan meningkatkan brand awareness. Keterbatasan pengetahuan digital, manajemen konten yang kurang efektif, pemanfaatan fitur Instagram yang tidak optimal, dan pengukuran performa yang lemah adalah beberapa tantangan utama yang dihadapi. Untuk mengatasi masalah ini, kegiatan pelatihan dan pendampingan dalam pemasaran digital melalui Instagram dilakukan. Metode pelaksanaan meliputi pengaturan profil bisnis, pembuatan konten yang menarik, pemanfaatan fitur-fitur Instagram seperti Stories dan Highlights, serta analisis data melalui Instagram Insights. Hasil kegiatan menunjukkan peningkatan pemahaman dan keterampilan digital, serta peningkatan engagement dan brand awareness produk UMKM.
Pengembangan Virtual Tour 360 Pada Objek Wisata Sangeh Satya, I Wayan Wira; Sandhiyasa, I Made Subrata; Aristana, Made Dona Wahyu; Udayana, I Putu Agus Eka Darma; Desnanjaya, I Gusti Made Ngurah
Jurnal KOMET Vol 1 No 2 (2024): Jurnal Komet: Kolaborasi Masyarakat Berbasis Teknologi : Volume 1 Nomor 2, Oktobe
Publisher : Yayasan Sinergi Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/komet.v1i2.13

Abstract

Objek Wisata Sangeh, terkenal dengan hutan kera alaminya dan keberadaan beberapa pura penting, menawarkan pengalaman unik bagi pengunjung. Namun, terdapat kendala karena pura di kawasan ini tidak boleh dimasuki oleh wisatawan, serta keterbatasan informasi yang tersedia yang dapat mengurangi pengalaman wisata. Oleh karena itu, kegiatan pengabdian ini bertujuan untuk mengembangkan Virtual Tour 360° untuk Objek Wisata Sangeh sebagai solusi atas masalah tersebut. Hasil dari kegiatan ini adalah pembuatan sebuah website virtual tour untuk Objek Wisata Sangeh, yang diharapkan dapat memberikan edukasi yang akurat tentang keindahan dan keberagaman budaya Sangeh, serta mempromosikan destinasi wisata ini kepada wisatawan lokal maupun mancanegara. Pengujian System Usability Scale (SUS) menunjukkan bahwa website virtual tour ini mendapatkan skor tinggi dalam penerimaan pengguna dengan nilai akhir 78.375. Skor ini berada dalam kategori "Acceptable" dan masuk dalam kelas B. Kategori dan kelas tersebut biasanya menunjukkan bahwa pengguna menemukan sistem tersebut cukup memuaskan dan dapat digunakan dengan baik dalam konteks yang diujikan.Manfaat dari kegiatan ini termasuk sebagai media edukasi, pelestarian budaya, dan pengalaman virtual yang interaktif bagi pengunjung.
A Structured Decision Intelligence Framework for Context-Aware Decision Making Sudipa, I Gede Iwan; Pandawana, I Dewa Gede Agung; Sandhiyasa, I Made Subrata
Jurnal Galaksi Vol. 2 No. 2 (2025): Galaksi - August 2025
Publisher : Yayasan Sraddha Panca Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/galaksi.v2i2.96

Abstract

Decision Intelligence (DI) has emerged as an integrative paradigm that combines data, analytics, and artificial intelligence to enhance organizational decision-making. Despite this growing interest, many existing DI approaches place disproportionate emphasis on predictive intelligence while providing limited methodological guidance on how predictions are transformed into actionable and accountable decisions. Machine learning models are highly effective at forecasting and classification; however, they do not inherently incorporate organizational constraints, human preferences, or decision trade-offs. This study proposes a structured, end-to-end Decision Intelligence framework that explicitly integrates machine learning–based prediction with Decision Support System (DSS) modelling. The framework positions DSS as the core decision logic by employing the Analytic Hierarchy Process (AHP) to formalize contextual and human preferences and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to execute alternative ranking. Furthermore, contextual intelligence and outcome intelligence are embedded to ensure decision relevance, transparency, and continuous improvement. Using a Design Science Research approach, this study develops and demonstrates the proposed framework as a systematic solution for bridging the gap between predictive analytics and decision execution. The framework contributes to Decision Intelligence research by clarifying the role of DSS in AI-driven decision environments and by providing a replicable structure for integrating prediction, decision modelling, and outcome evaluation.
Co-Authors Anandita, Ida Bagus Gede Arditya, I Kadek Dito Aristana, Made Dona Wahyu Asana, I Made Dwi Putra Atmaja, Ketut Jaya Christina Purnama Yanti Desak Made Dwi Utami Putra Fibriyanthini, Luh Gede Indrawan Hendrawati, Theresia I Dewa Gede Agung Pandawana I Gede Aris Gunadi I Gede Iwan Sudipa I Gusti Made Ngurah Desnanjaya I Kadek Dwi Gandika Supartha I Made Agus Oka Gunawan I Nyoman Tri Anindia Putra I Nyoman Widhi Adnyana I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Yoga Indrawan I Wayan Agus Surya Darma Indrayuni, Ni Komang Purnama Ketut Sepdyana Kartini Meinarni, Ni Putu Suci Muni, Gede Dharma Sahasra Ni K. N Noviani Pande Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Ni Putu Widantari Suandana Nirwana, Ni Kade Ayu Nopianti, Ni Kadek Winda Pande, Ni Kadek Nita Noviani Parniti, I Gusti Agung Ayu Pira Prabhawa , I Kadek Angga Surya Pradnyani, Kadek Dian Pramawati, I.D.A Tantri Pramest, Ni Luh Gede Sintia Pranata, I Made Dicky Putu Gede Surya Cipta Nugraha Putu Wirayudi Aditama Sarasvananda , Ida Bagus Gde Saraswati, Ni Wayan Sumartini Satya, I Wayan Wira Savitri, Ni Kadek Wiliya Widiartha, Komang Kurniawan Wiguna, I Komang Arya Ganda Wijaya, Bagus Kusuma Yuri Prima Fittryani, Yuri Prima