Garuda - Garba Rujukan Digital

Penerapan Metode Support Vector Machine untuk Analisis Sentimen pada Review Pelanggan Hotel Amira, Siti Azza; Utama, Satria; Fahmi, Muhammad Hanif
Edu Komputika Journal Vol 7 No 2 (2020): Edu Komputika Journal
Publisher : Jurusan Teknik Elektro Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukomputika.v7i2.42608

Perkembangan internet yang semakin pesat membuat banyak orang mengakses internet untuk mendapatkan berbagai macam informasi, salah satunya dalam mencari informasi ulasan hotel. Ulasan tersebut biasanya akan dijadikan sebagai acuan dan sangat berpengaruh bagi calon pengunjung dalam menentukan hotel mana yang terbaik untuk mereka kunjungi ketika bepergian ke luar kota. Maka dari itu dapat dilakukan analisis sentimen untuk mengklasifikasikan ulasan tersebut apakah bersifat positif atau negatif. Proses klasifikasi sentimen menggunakan metode Support Vector Machine dan pembobotan kata menggunakan bantuan metode Term Frequency-Inverse Document Frequency. Data yang digunakan didapatkan dengan melakukan crawling pada situs Tripadvisor dengan menggunakan library scrapy pada python. Berdasarkan hasil pengujian, Tingkat akurasi yang didapatkan sebesar 88%, nilai precission sebesar 98%, nilai recall sebesar 88%, dan nilai F1 Score sebesar 83%.

Penerapan Metode Support Vector Machine untuk Analisis Sentimen pada Review Pelanggan Hotel Amira, Siti Azza; Utama, Satria; Fahmi, Muhammad Hanif
Edu Komputika Journal Vol 7 No 2 (2020): Edu Komputika Journal
Publisher : Jurusan Teknik Elektro Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/edukomputika.v7i2.42608

Perkembangan internet yang semakin pesat membuat banyak orang mengakses internet untuk mendapatkan berbagai macam informasi, salah satunya dalam mencari informasi ulasan hotel. Ulasan tersebut biasanya akan dijadikan sebagai acuan dan sangat berpengaruh bagi calon pengunjung dalam menentukan hotel mana yang terbaik untuk mereka kunjungi ketika bepergian ke luar kota. Maka dari itu dapat dilakukan analisis sentimen untuk mengklasifikasikan ulasan tersebut apakah bersifat positif atau negatif. Proses klasifikasi sentimen menggunakan metode Support Vector Machine dan pembobotan kata menggunakan bantuan metode Term Frequency-Inverse Document Frequency. Data yang digunakan didapatkan dengan melakukan crawling pada situs Tripadvisor dengan menggunakan library scrapy pada python. Berdasarkan hasil pengujian, Tingkat akurasi yang didapatkan sebesar 88%, nilai precission sebesar 98%, nilai recall sebesar 88%, dan nilai F1 Score sebesar 83%.

Kajian Faktor Dominan terhadap Penilaian Kinerja Sistem Penyediaan Air Minum (SPAM) di Provinsi Nusa Tenggara Barat : Study of Dominant Factors on Performance Assessment of Drinking Water Supply System (SPAM) in the Province of West Nusa Tenggara Sudiarti, Sri Utami; Utama, Satria
Jurnal Teknik Sumber Daya Air Vol. 4 No. 2 (Desember 2024)
Publisher : Himpunan Ahli Teknik Hidraulik Indonesia (HATHI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56860/jtsda.v4i2.101

West Nusa Tenggara Province has 8 (eight) BUMDs (Regional Owned Enterprises) managing drinking water divided into two islands namely Lombok island and Sumbawa island where the study location is seven BUMDs. The two islands each have 4 (four) drinking water management bodies. There are four aspects of SPAM performance assessment based on PP 122/2015, namely financial aspects, service aspects, operational aspects, and human resource aspects. This study aims to find the dominant factors that influence the SPAM performance assessment. Quantitative research method applied using fuzzy cluster means (Fuzzy C-Means). The results showed that in the span of 2017 - 2022 the performance of SPAM Lombok island from 4 (four) BUMDs there are two healthy and two others less healthy. While Sumbawa island is less healthy on average. The dominant factors affecting the performance of these BUMDs are operational aspects and financial aspects where the dominant operational aspect is the level of water loss in the drinking water distribution system. The dominant financial aspect is liquidity including cash ratio and billing effectiveness. These dominant factors from the seven BUMDs obtained values that affect the BUMD performance value so that it falls into the category of healthy, less healthy and sick. This study results in efforts that need to be made to improve the performance condition of BUMD in the ‘sick’ category by knowing the dominant factors.

Inovasi Pengelolaan Limbah untuk Pemberdayaan Masyarakat Berkelanjutan Alghyfari, M. Raafi; Putra, Muhammad Agyf Dwi; Febriansyah, Nur Fadillah; Riano, Bobby Yusuf; Afdallah, Rahmat Edu; Rizki, Afni Alya Apipatul; Pradiani, Lutfiah Sus; Sya’bani, Agnia Nur; Rieva, Raihan Dwi; Fawalina, Vilza Avalda; Utama, Satria
Prosiding Seminar Nasional Program Pengabdian Masyarakat Vol. 8 No. 1 (2025): Rekonstruksi Pendidikan di Indonesia
Publisher : Universitas Muhammadiyah Yogyakarta

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

The service program conducted in Padukuhan Dayakan Kepuh, Kalurahan Dadapayu, Semanu District, Gunung Kidul Regency, focuses on community empowerment based on environmental sustainability and economic improvement through waste utilization. The main issues faced by the local community include a lack of awareness regarding environmental cleanliness, minimal innovation in waste management, and limited access to environmental education for children. The objectives of this program are to raise community awareness about the importance of maintaining environmental sustainability, encourage children's creativity in managing waste into valuable products, and optimize waste utilization as an alternative economic resource. The methods used in this program include socialization, environmental education, demonstrations, and practical training in making briquettes from corn cob waste, as well as literacy assistance for elementary school students. Additionally, supplementary programs such as the production of paving blocks from plastic waste aim to reduce plastic waste while creating an alternative eco-friendly building material. Other activities include creating village maps and installing house number stickers to facilitate location identification based on neighborhood units (RT and RW). The results of this community service show an increase in public awareness of maintaining environmental cleanliness, evidenced by active participation from residents in waste donation activities and the utilization of waste collection points. Elementary school children have demonstrated an improved understanding of waste management, reflected in their creative works during waste processing competitions. The paving block production from plastic waste has resulted in products that have the potential to be used in village infrastructure development. Overall, this program has a positive impact on enhancing environmental awareness, strengthening village identity, and opening economic opportunities based on waste utilization, thereby contributing to more sustainable village development.

Sosialisasi Dan Pendampingan Pendidikan Dusun Dedel Kulon Kecamatan Semanu Gunung Kidul Yogyakarta Hillaya, Tanza Dwiki Riza; Wardani, Reinny Kusuma; Zulkarnain, Ilyas; An Naffi, hyan Adi; Rahmalia, Mayra Vega; Rahmawati, Alma Liana; Nugraha, Angga Febian; Septiawan, Andre Dwi; Lestari, Tri Aji; Utama, Satria
Prosiding Seminar Nasional Program Pengabdian Masyarakat Vol. 8 No. 1 (2025): Rekonstruksi Pendidikan di Indonesia
Publisher : Universitas Muhammadiyah Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18196/ppm.81.1354

Community service program aims to enhance educational support and empower MSMEs in Dusun Dedel Kulon. The implementation methods include socialization, mentoring, and direct consultation with the local community to ensure an inclusive and participatory approach. The findings indicate that there is a pressing need for improved education in Dusun Dedel Kulon. The active involvement of the community in training sessions, along with the enhancement of MSME skills, demonstrates a growing awareness and capacity to manage businesses more effectively

Financial Literacy for Early Childhood at Kindergarten Asri Suwarsi, Aqidah; Noermawati, Julia; Utama, Satria; Robiatun, Fahmia; Anarika, Reza; Santosa Pambudi, Dwi
International Journal of Science, Technology & Management Vol. 6 No. 3 (2025): May 2025
Publisher : Publisher Cv. Inara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46729/ijstm.v6i3.1208

Financial literacy is essential for children in early life in order to manage money effectively. In this study, the findings about early children financial literacy shifted from not literate to less literate after attending financial classes held by Universitas Muhammadiyah Yogyakarta (UMY). Meanwhile, parents of students report varying levels of literacy, ranging from less to sufficient literacy. This study employed an exploratory qualitative research approach. Researchers evaluated the comprehension and practices of preschool children and their parents in money management before and after receiving financial management training. The results are then analyzed and presented in the research report. The study was carried out in Aisyiyah Patosan Kindergarten, Sedayu, which is located in Magelang, Central Java, Indonesia.

PENGUATAN KEBERLANGSUNGAN USAHA PERAJIN GAMELAN GOMBLOH MELALUI INOVASI DIGITAL DI BIBIS BANGUNJIWO YOGYAKARTA Finanda, Septi Asri; Utama, Satria; Nurhayati, Emmy
Abdi Seni Vol. 16 No. 1 (2025)
Publisher : Institut Seni Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33153/abdiseni.v16i1.6504

Various aspects of human life, including the local economy, have been significantly influenced by advancements in digital technology. The Gamelan asrtisans of Gombloh in Bibis, Bangunjiwo, Bantul, Yogyakarta, continue to face challenges in marketing and managing their businesses. This community service program implements digital innovation in financial management and marketing of gamelan products to help sustain these enterprises. The technology-based activities include the application of online marketing strategies through e-commerce platforms and social media, as well as the creation of effective financial and production management systems. Additionally, training sessions were conducted to enhace the knowledge and skills of gamelan artisan ini digital marketing. Explores issues and creative ideas through by Focus Group Discussion (FDG). The results of the program indicate that the implementation of digital technology has improved the efficiency of managing their businesses. The local community has also been strengthened by the collaboration among gamelan artisans fostered during this program. The positive response from the community towards gamelan Gombloh highlights the importance of integrating tradition with contemporary practices. Overall, this program demonstrates that digital innovation is a crucial strategic step for sustaining the Gamelan artisans’ enterprises. By leveraging technology, they can preserve their businesses while also safeguarding Indonesia’s cultural heritage for future generations.

Optimizing Rain Prediction Model Using Random Forest and Grid Search Cross-Validation for Agriculture Sector Putra, Ahmad Fatoni Dwi; Azmi, Muhamad Nizam; Wijayanto, Heri; Utama, Satria; Wedashwara Wirawan, I Gede Putu Wirarama
MATRIK : Jurnal Manajemen, Teknik Informatika dan Rekayasa Komputer Vol. 23 No. 3 (2024)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/matrik.v23i3.3891

Agriculture, as a sector that is highly influenced by weather conditions, faces challenges due to increasingly unpredictable changes in weather patterns. The aim of this research is to create an optimal rainfall prediction model to help farmers create irrigation schedules, use fertilizer, and planting schedules, and protect plants from extreme weather events. The method used in this research to obtain the best rain prediction model is to use the random forest algorithm and the grid search cross-validation algorithm. Random Forest, known for its robustness and accuracy, emerged as a suitable algorithm for predicting rain. utilizing a substantial dataset from the West Nusa Tenggara Meteorology, Climatology, and Geophysics Agency covering the period 2000 to 2023. The data is then processed first to ensure its readiness for use. This process involves removing outlier data points, empty data entries, and unused features. After the preprocessing stage, the data underwent training using the Random Forest algorithm, resulting in an R-squared value of 0.1334. To obtain the optimal model, Grid Search Cross Validation is used. The results of this research obtained the best rain prediction model with an R-squared value of 0.0268. This model will be used to predict rain in the agricultural sector. This research concludes that we can get the best rain prediction model by combining Random Forest and Gird Search Cross-Validation. For further research, we can compare other rain prediction methods, add features, and combine datasets from a wider area.

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