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All Journal Jurnal Ilmu Komputer Jurnal Sains dan Teknologi JUTIK : Jurnal Teknologi Informasi dan Komputer JMM (Jurnal Masyarakat Mandiri) JURNAL TEKNIK INFORMATIKA DAN SISTEM INFORMASI International Journal of Community Service Learning International Journal of Natural Science and Engineering Jurnal Pedagogi dan Pembelajaran Jurnal Ilmiah Vastuwidya Journal of Computer Networks, Architecture and High Performance Computing JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) INSERT: Information System and Emerging Technology Journal Jurnal Pengabdian Masyarakat (ABDIRA) JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) JUSTIN (Jurnal Sistem dan Teknologi Informasi) Jurnal Multidisiplin Madani (MUDIMA) Jurnal WIDYA LAKSMI (Jurnal Pengabdian Kepada Masyarakat) Jurnal Manajemen dan Teknologi Informasi Journal of Artificial Intelligence and Digital Business Jurnal Pengabdian Kepada Masyarakat SEWAGATI Galaksi KOMET Jurnal Bahasa Rupa Jurnal Bahasa Rupa
Putu Gede Surya Cipta Nugraha
Institut Teknologi Dan Bisnis Indonesia
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PENERAPAN DATA MINING UNTUK KLASIFIKASI PENJUALAN BARANG TERLARIS MENGGUNAKAN METODE DECISION TREE C4.5 Ni Wayan Wardani; Putu Gede Surya Cipta Nugraha; Eddy Hartono; I Wayan Dharma Suryawan; Ayu Manik Dirgayusari; I Wayan Darmadi; Gede Surya Mahendra
Jurnal Teknologi Informasi dan Komputer Vol 8, No 3 (2022): Jurnal Teknologi Informasi dan Komputer
Publisher : LPPM Universitas Dhyana Pura

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

Abstract

ABSTRACTThis research aims to find the best accuracy from the decision tree model so that the model can perform well for bestselling sales classification and make the model usable and integrated with other systems through the Application Programming Interface (API). This analysis uses the decision tree method and the Cross-Industry Standard Process for Data Mining (CRISP-DM) as the research process flow. The research results that have been obtained in the early stages of the model can produce an accuracy of 90.85% in RapidMiner modeling. In comparison, in python, the resulting accuracy is 92.83%, but when the parameter tuning process is carried out the highest accuracy produced reaches 95.68% on RapidMiner while in modeling using python the quality of accuracy is 95.09% and based on the deployment process, the prediction function of the model can be accessed properly through the Application Programming Interface (API).Keywords: Data Mining, Decision Tree C4.5, ClassificationABSTRAKPenelitian ini bertujuan untuk mencari akurasi terbaik dari model Decision Tree sehingga model dapat menghasilkan performa yang baik untuk tujuan klasifikasi penjualan terlaris dan juga membuat model dapat digunakan dan terintegrasi pada sistem lain melalui Application Programming Interface (API). Analisis ini menggunakan metode decision tree, dan Cross-Industry Standard Process for Data Mining (CRISP-DM) sebagai alur proses penelitian. Hasil penelitian yang telah didapatkan pada tahap awal model dilatih dapat menghasilkan akurasi 90.85% pada pemodelan RapidMiner, sedangkan pada python akurasi yang dihasilkan 92.83%, akan tetapi pada saat proses tuning parameter dilakukan akurasi paling tertinggi yang dihasilkan mencapai 95.68% pada RapidMiner sedangkan pada pemodelan menggunakan python menghasilkan akurasi sebesar 95.09%, dan berdasarkan proses deployment, fungsi prediksi model dapat dengan baik diakses melalui Application Programming Interface (API).Kata Kunci: Data Mining, Decision Tree C4.5, Klasifikasi
Pelatihan Fotografi (Motrek) Bagi Guru SMP Dalam Upaya Revitalisasi Bahasa Daerah Untuk Tunas Bahasa Ibu di Balai Bahasa Provinsi Bali I Nyoman Agus Suarya Putra; Aniek Suryanti Kusuma; Ayu Gede Willdahlia; Desak Dwi Utami Putra; I Ketut Sutarwiyasa; Putu Satria Udyana Putra; Ni Wayan Wardani; Ni Made Mila Rosa Desmayani; Putu Gede Surya Cipta Nugraha; Eddy Hartono; Gede Surya Mahendra
JURPIKAT (Jurnal Pengabdian Kepada Masyarakat) Vol 3 No 3 (2022)
Publisher : Politeknik Piksi Ganesha Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37339/jurpikat.v3i3.962

Abstract

The declining use of the Balinese language, especially among the younger generation, is something that the Bali Provincial Language Center needs to pay attention to immediately holding a language revitalization program. One of the activities in the regional language revitalization program is a photography training activity (motrek) for junior high school teachers which aims to revitalize language starting from the school realm, namely teachers and students. His hope in everyday life is not far from photography. The resulting photos can be given a description in Balinese, especially when uploading to social media. The training lasted for 4 days, attended by 75 State Middle School teachers. The training was filled with delivery of material, discussions, questions and answers and hands-on practice using each participant's cell phone. The results of the posttest showed an increase in understanding of the material by 48% from the results of the previous pretest.
Rancang Bangun Sistem Informasi E-Commerce Berbasis Website: (Studi Kasus Toko Komputer di Denpasar) Nugraha, Putu Gede Surya Cipta; Indrawan, I Putu Yoga; Asmarajaya, I Kadek Andy
INSERT : Information System and Emerging Technology Journal Vol. 3 No. 1 (2022)
Publisher : Prodi Sistem Informasi, FTK, Undiksha

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/insert.v3i1.50467

Abstract

Kebutuhan akan informasi yang lebih cepat dan murah tentunya menuntut penyedia informasi untuk memiliki media online, dimana informasi yang disajikan dapat dengan mudah dan cepat didapatkan oleh konsumen informasi. Hal ini dapat dilakukan dengan menggunakan internet. Penggunaan internet untuk kegiatan transaksi bisnis dikenal dengan Electronic Commerce (E-commerce). Seiring dengan perkembangan dunia bisnis saat ini, e-commerce menjadi kebutuhan untuk meningkatkan dan memenangkan persaingan bisnis dan penjualan produk. Saat ini toko komputer ABC mengalami kendala dalam menjangkau konsumen yang lebih luas, untuk itu perlu diterapkannya E-commerce berbasis website. Tujuan dari penelitian ini adalah untuk mengimplementasikan website E-commerce yang berfungsi sebagai media promosi dan penjualan elektronik. Jenis penelitian yang digunakan adalah kualitatif, dengan teknik pengumpulan data menggunakan observasi dan wawancara. Sistem E-commerce dibangun berbasis website dengan menggunakan metodologi pengembangan model waterfall. Bahasa pemrograman yang digunakan adalah PHP dengan database MySQL. Hasil dari penelitian ini mendapatkan sistem E-commerce yang telah dikembangkan yang memiliki beberapa fitur yaitu mengelola data user dan admin, mengelola data kategori produk, mengelola data barang, mengelola data pesanan, mengelola data keranjang belanja, mengelola data pelanggan, mengelola data transaksi dan pengelolaan laporan transaksi. Pengujian dilakukan dengan menggunakan metode Blackbox Testing, dengan hasil semua fitur berjalan dengan baik. Berdasarkan hasil tersebut dapat disimpulkan bahwa sistem E-commerce pada toko komputer ABC telah berjalan dengan baik dan sesuai dengan kebutuhan pemilik usaha sehingga dapat membantu mengembangkan usahanya.
Reverse Engineering for Static Analysis of Android Malware in Instant Messaging Apps Adnyana, I Gede Adnyana; Nugraha, Putu Gede Surya Cipta; Nugroho, Bagus Rahmat Adin
Journal of Computer Networks, Architecture and High Performance Computing Vol. 6 No. 3 (2024): Articles Research Volume 6 Issue 3, July 2024
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v6i3.4417

Abstract

Malware poses a significant threat to Android devices due to their high prevalence and vulnerability to attacks. Analyzing malware on these devices is crucial given the persistent and sophisticated threats targeting Android users. Static analysis of Android malware is a key approach used to detect malicious software without executing the application. This method involves meticulously examining the application's source code or binaries to identify signs of suspicious or harmful activities. The research methodology consists of three stages. The first stage involves collecting malware samples spread through instant messaging applications. The second stage employs reverse engineering, where APK files are decompiled to extract their contents. Following this, a static analysis is conducted, focusing on the AndroidManifest.xml file and the source code to identify the behavior and potential threats posed by the malware. The static analysis results revealed that Android malware often requests sensitive permissions to access personal data, such as receiving, reading, and sending SMS, as well as accessing location and contacts. Further analysis uncovered that after acquiring this data, the malware transmits it to the Telegram API via authenticated HTTP requests using specific tokens and chat_ids. These findings highlight that the permissions requested by the malware are designed to clandestinely collect and export personal data, posing a severe threat to the privacy and security of Android users.
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
Analisis Penggunaan Lego dalam Pembelajaran Sejarah Perang Kusamba untuk Anak Usia Dini Putra, I Nyoman Agus Suarya; Nugraha, Putu Gede Surya Cipta; Wardani, Ni Wayan
Jurnal Bahasa Rupa Vol. 7 No. 3 (2024): Jurnal Bahasa Rupa Agustus 2024
Publisher : Prahasta Publisher (manage by: DRPM Institut Bisnis dan Teknologi Indonesia)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/bahasarupa.v7i3.1569

Abstract

There is limited research that combines three things, namely, early childhood, technology and local wisdom. Current conventional education requires digital-based technology with all its advantages. Historical knowledge is best instilled as knowledge in early childhood in the age range of 4-6 years. The knowledge taken in this research is knowledge from a hero statue located in Kusamba village in the form of a woman holding a palm leaf named I Dewa Agung Istri Kanya. This research aims as an educational tool. Through the means of animated films, the Lego game is hoped to be able to provide historical education and be able to become a visual attraction in the educational process. The method in this research is a descriptive qualitative method by visualizing illustrations of historical toy stories of heroes that are close to children's tastes. Next, exploration and experimentation were carried out on the work by designing Lego with Balinese characters and clothing and creating the setting at the scene, namely Goa Lawah and Puri Klungkung. The production technique uses stop motion techniques. The process of making an animated film is carried out in three stages, namely pre-production, production, and post-production. Testing was carried out on material experts and media experts as well as parents who educate children aged 4-6 years. The results of 87% of respondents stated that it was suitable as a learning medium. The results of anecdotal notes on a sample of young children showed an increase in knowledge from not yet developing to developing according to expectations.
Perancangan Sistem Informasi Untuk Mendukung Pengelolaan Data Penjualan pada Toko BUMDes Atmaja, Ketut Jaya; Nirwana, Ni Kade Ayu; Nugraha, Putu Gede Surya Cipta; Asana, I Made Dwi Putra; Sandhiyasa, I Made Subrata; Indrawan, I Putu Yoga
Jurnal KOMET Vol 1 No 3 (2025): Jurnal Komet: Kolaborasi Masyarakat Berbasis Teknologi : INPRESS Volume 1 Nomor 3
Publisher : Yayasan Sinergi Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/komet.v1i3.52

Abstract

BUMDes Guna Artha menghadapi sejumlah permasalahan utama yang memerlukan penanganan yang baik. Salah satu tantangan utamanya adalah ketidakpastian ketersediaan barang di toko. Sistem pencatatan stok yang hanya mengandalkan lembar MS Excel seringkali tidak dapat mencerminkan situasi aktual di toko fisik. Dampak dari situasi ini melibatkan ketidakpuasan pelanggan dan potensi merugikan citra toko BUMDes Guna Artha. Informasi adalah sekumpulan data atau fakta yang diorganisasi atau diolah dengan cara tertentu sehingga mempunyai arti bagi penerima. Ketersediaan informasi yang baik dapat membantu pihak manajemen toko BUMDes dalam pengambilan keputusan untuk terus meningkatkan kinerja toko. Solusi dari permasalahan yang dihadapi mitra adalah dengan melakukan kegiatan Pengabdian Kepada Masyarakat (PKM) berupa pembuatan dan pelatihan penggunaan sistem informasi. Fitur-fitur dari sistem informasi yang dibangun mencakup sistem transaksi penjualan, kemampuan untuk melihat status pesanan dan pembayaran secara real-time, serta penyediaan laporan penjualan dan grafik penjualan per barang. Dengan semua fitur ini, melalui sistem informasi penjualan yang dibangun dapat memfasilitasi transaksi, pelacakan pesanan, pembayaran, stock opname, dan penyediaan laporan penjualan secara lebih efektif. Kegiatan PKM dibagi menjadi pembuatan sistem informasi dan pelatihan penggunaan sistem informasi. Pada sistem informasi yang dibuat dapat digunakan untuk mencatat transaksi penjualan yang telah dilakukan, dan juga dapat memberikan informasi penjualan dan informasi stok barang di toko BumDes.
Decision Tree for Bitcoin Price Prediction Based on Market Factors Wardani, Ni Wayan; Nugraha, Putu Gede Surya Cipta; Erawati, Kadek Nonik
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 7 No 2 (2024): December
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.199

Abstract

The volatile nature of Bitcoin poses significant challenges for accurate price prediction, which is critical for informed decision-making by investors and policymakers. This study explores the application of decision tree algorithms to predict Bitcoin prices using a dataset comprising historical data on Bitcoin prices, market capitalization, and trading volumes. The research emphasizes feature engineering techniques, including derived metrics such as rolling averages and volatility indices, and integrates ensemble methods like Random Forest and Gradient Boosting to enhance predictive performance. The decision tree model achieved an accuracy of 53%, demonstrating its capability to capture general trends in Bitcoin price movements, particularly during high volatility periods. The study highlights the importance of key features such as the Relative Strength Index (RSI) and Moving Averages (MA14) while identifying limitations in predicting price decreases. Recommendations for future research include integrating external data sources, such as sentiment analysis and macroeconomic indicators, and exploring advanced modeling techniques to improve robustness and accuracy. This research contributes to the growing field of cryptocurrency price prediction by providing interpretable and actionable insights into market dynamics. The findings offer valuable tools for analysts and investors navigating the complexities of the cryptocurrency market.
Marketing with Social Media and Strengthening Identity Through Packaging Branding Nugraha, Putu Gede Surya Cipta; Indrawan, I Putu Yoga
International Journal of Community Service Learning Vol. 5 No. 1 (2021): February 2021
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (462.819 KB) | DOI: 10.23887/ijcsl.v5i1.31057

Abstract

The purpose of this community service activity is to help partners take advantage of social media to expand market share, create business brands or logos as branding in strengthening business identity which will be implemented in product packaging. To achieve the objectives of the activity, the approach method used is interview and observation. The partner in this community service activity is a donut snack entrepreneur which is commonly consumed by children and adults as well as for religious activities. The results of the evaluation with partners on community service activities are that branding and packaging have a big role because partners get donut orders over the phone for religious ceremonies in the local area, where the phone number is obtained from the product packaging. The surrounding community also gave a positive response to social media partners who were used for product marketing. the conclusion of this community service activity went well. Partners are given increased knowledge about business management strategies so that they can continue to exist in the modern era by looking at social conditions, target consumers, current market conditions. Partners are given a business logo design that can be used by partners as a business product branding in the future. The implication obtained by partners is that the business market share is getting wider and builds consumer trust so that business profits increase.
IMPLEMENTASI METODE C4.5 DAN NAIVE BAYES BERBASIS ADABOOST UNTUK MEMPREDIKSI KELAYAKAN PEMBERIAN KREDIT Nugraha, Putu Gede Surya Cipta; Dantes, Gede Rasben; Aryanto, Kadek Yota Ernanda
International Journal of Natural Science and Engineering Vol. 1 No. 2 (2017): July
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (355.441 KB) | DOI: 10.23887/ijnse.v1i2.12470

Abstract

At PT. BPR XYZ credit problems is a very vital issue, where if many debtors are delinquent in payment it will increase the NPL value of the bank itself. Increasing the NPL value above 5% indicates that the bank is not healthy. From the above problems, then in this study aims to perform the implementation process of data mining methods to determine the accuracy level of prediction of creditworthiness at PT. BPR XYZ, so that the future of credit problems can be overcome. Data mining methods used in the prediction process are C4.5 and Naïve Bayes methods, where both methods are implemented and the accuracy level comparison process is used to see which method is more accurate in predicting creditworthiness. Both methods are also embedded AdaBoost method with the aim of increasing the accuracy in the process of prediction of creditworthiness feasibility. The result obtained from the comparison of method accuracy level, stated that the better accuracy is C4.5 method that is 90.00% with the precision level of 86.67%. As for the accuracy of Naïve Bayes method that is equal to 70.00% with the precision level of 79.71%. Then with the addition of AdaBoost method in predicting creditworthiness proved to increase the higher accuracy value of 91.54% in method C4.5 and by 78.13% in Naïve Bayes method. From the description above, with the implementation of AdaBoost method on the method of C4.5 and Naïve Bayes can improve the accuracy of the prediction of creditworthiness of PT. BPR XYZ. In addition, the implementation of the AdaBoost-based C4.5 method can be a recommendation for PT. BPR XYZ in conducting predictive process of credit worthiness in the future.
Co-Authors Adnyana, I Gede Adnyana Aniek Suryanti Kusuma, Aniek Suryanti Asana, I Made Dwi Putra Atmaja, Ketut Jaya Cahayani, Putu Putri Desak Dwi Utami Putra Devi Valentino Waas Dirgayusari, Ayu Manik Eddy Hartono Erawati, Kadek Nonik Gede Rasben Dantes Gede Surya Mahendra I Gede Hendrayana I Kadek Andy Asmarajaya I Komang Ari Mogi I Made Agus Setiawan I Nyoman Agus Suarya Putra I Putu Agus Eka Darma Udayana, I Putu Agus Eka I Putu Yoga Indrawan I Wayan Darmadi I Wayan Dharma Suryawan Ida Bagus Ary Indra Iswara Ida Bagus Gede Sarasvananda Kadek Arya Wirtiana Putra M Kadek Yota Ernanda Aryanto Luh Gede Bevi Libraeni Ni Made Mila Rosa Desmayani, Ni Made Mila Rosa Ni Wayan Wardani Ni Wayan Wardani Nirwana, Ni Kade Ayu Nopianti, Ni Kadek Winda Nugroho, Bagus Rahmat Adin Putra, Putu Satria Udyana Sandhiyasa, I Made Subrata Santhi, Trihana Sutarwiyasa, I Ketut Sutrisna, Ketut Dita Ari Wardani, Ni Wayan Willdahlia, Ayu Gede Winatha, Komang Redy Yuliandari, Ni Kadek