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Pembuatan Company Profile Pada Bumdesa Catu Kwero Sedana Pecatu Sandika, I Kadek Budi; Ariantini, Made Suci; Dania, Ni Luh Ayu Prima; Sutawan, I Kadek Dwi; Sephiarini, Ni Putu Satya
Jurnal KOMET Vol 2 No 2 (2025): Jurnal Komet: Kolaborasi Masyarakat Berbasis Teknologi : Volume 2 Nomor 2, Oktobe
Publisher : Yayasan Sinergi Widya Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70103/komet.v2i2.72

Abstract

Pengabdian ini dilakukan untuk menjawab keterbatasan informasi dan promosi pada BUMDesa Catu Kwero Sedana Pecatu, yang berdiri sejak 2017 dengan dua unit usaha utama, yaitu pengelolaan sampah dan perdagangan. Hasil wawancara dengan pengelola menunjukkan bahwa BUMDesa belum memiliki profil perusahaan baik dalam bentuk cetak, elektronik, maupun audio-visual karena keterbatasan sumber daya yang masih terfokus pada operasional harian. Kegiatan pengabdian meliputi sosialisasi, perancangan media, pembuatan, penyerahan, evaluasi, dan pelaporan. Luaran yang dihasilkan berupa dokumen company profile dalam format PDF dan video company profile yang dirancang menggunakan prinsip Desain Komunikasi Visual (DKV). Dokumen memuat struktur organisasi, unit usaha, serta data pendukung dalam bentuk teks, foto, grafik, dan infografis dengan tipografi sederhana serta palet warna biru dan kuning. Video company profile memadukan narasi, tata suara, visualisasi kegiatan, dan storytelling untuk menyampaikan sejarah, visi-misi, serta aktivitas BUMDesa. Media ini juga disiapkan agar kompatibel dengan tampilan mobile-web untuk mendukung promosi digital. Hasil evaluasi melalui diskusi menunjukkan mitra sangat puas dengan kualitas media yang dihasilkan dan berharap kolaborasi berlanjut. Selain itu, mitra mengidentifikasi kebutuhan tambahan berupa media edukasi pengelolaan sampah. Luaran ini diharapkan meningkatkan citra profesional, komunikasi, dan promosi BUMDesa sekaligus memperkuat keberlanjutan usaha melalui kerja sama lebih lanjut dengan berbagai pemangku kepentingan.
Community Service Assistance in the Use of the "BUMDES PECATU" Application to Customers in the Waste Management Unit in Pecatu Village Sandika, I Kadek Budi; Widiartha, Komang Kurniawan; Ariantini, Made Suci; Parwita, Wayan Gede Suka; Putra, Desak Made Dwi Utami; Wiguna, I Komang Arya Ganda; Sudipa, I Gede Iwan
Abdimas Paspama Vol. 2 No. 1 (2023): Abdimas Paspama, December 2023
Publisher : Abdimas Paspama

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

Abstract

BUMDes Catu Kwero Sedana Pecatu, Pecatu Village utilizes the " BUMDES PECATU" application as an innovative solution in increasing community involvement and optimizing waste management units. Through community service activities that focus on assisting the use of the application, with a door to door approach to customer addresses, the service team supported by the Pecatu village government provides counseling, education, and direct technical support to the community. The results show an increase in understanding and community participation in waste management through the use of the "BUMDES PECATU" application. Regular mentoring activities are expected to ensure the continuity and optimization of the BUMDES PECATU application in supporting operations in the waste management unit and active participation of the village community.
Music-Structure Segmentation in Balinese Gamelan (Tabuh Lelambatan) with SSM, Checkerboard Novelty, and HMM Pertiwi, Ni Nyoman Sucianta; Ariana, Anak Agung Gde Bagus; Meinarni, Ni Putu Suci; Willdahlia, Ayu Gede; Ariantini, Made Suci
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.v10i1.15494

Abstract

This study aims to automatically segment the musical structure of Balinese gamelan by combining the Self-Similarity Matrix (SSM) method, the Checkerboard Novelty kernel, and Hidden Markov Models (HMM). Balinese gamelan has a complex musical structure that is cyclical and based on a colotomik system, requiring an adaptive analytical approach to repetitive patterns and transitions between musical sections. The research data consists of 30 Tabuh Lelambatan gamelan audio recordings obtained from public digital sources and validated through expert annotation to produce ground truth. The segmentation process was carried out through feature extraction using Constant-Q Transform (CQT), SSM formation to detect acoustic similarity patterns, application of the checkerboard kernel to mark transitions between segments, and temporal sequence modeling using HMM to refine boundary detection. System performance evaluation was carried out by comparing the segmentation results with ground truth using precision, recall, and F1-score metrics. The test results showed an average macro precision value of 0.998, a recall of 0.705, and an F1-score of 0.818, indicating that this method is capable of detecting the main boundaries of musical structures with high accuracy and consistent stability. However, the model still tends to miss gradual micro transitions. This research contributes to the field of Music Information Retrieval (MIR) and supports efforts to preserve traditional Balinese music through data-based analysis and the development of music computing technology.
Enhanced Stacked GRU Model for Monthly Rice Production Forecasting in Bali Province Gotama, I Gusti Agung Raditiya; Sudipa, I Gede Iwan; Brahma, Anak Agung Gede Raka Wahyu; Ariantini, Made Suci; Wulandari, Dewa Ayu Putri
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.v10i1.15715

Abstract

Rice production has a seasonal pattern that depends on the planting cycle and environmental conditions, requiring forecasting methods that can accurately model temporal dynamics. This study aims to predict monthly rice production in Bali Province using the Stacked Gated Recurrent Unit (GRU) architecture. Monthly rice production data from 2018 to 2024 from the Central Statistics Agency (BPS) was used as the main source. The preprocessing stage includes data cleaning, Min-Max normalization, and feature engineering in the form of creating sin_month and cos_month features to capture seasonal patterns, as well as a 3-month rolling mean to extract short-term trends. The proposed stacked design with dual-layer GRU combined with seasonal features improves temporal pattern extraction compared to single-layer GRU baselines. The model was tested using three configurations, and Scheme 3 provided the best performance with an MAE value of 1610.21, an RMSE of 2055.90, and a MAPE of 14.29%, which is considered good accuracy. The model was able to follow seasonal production trends, including an increase at the beginning of the year and a decrease during the planting period. Long-term predictions for the next 12 months and quarterly forecasts per district/city also showed patterns consistent with historical data. The results of the study indicate that Stacked GRU is effective in forecasting seasonal rice production and can be used as a basis for decision support in food security planning in Bali.