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All Journal Building of Informatics, Technology and Science Indonesian Journal of Agricultural, Resource and Environmental Economics
Purnama, Putri Intan
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Agriculture, Biological Sciences & Forestry Computer Science & IT Economics, Econometrics & Finance Environmental Science Social Sciences

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Analisis Sentimen Acara Clash of Champions dengan Algoritma Naïve Bayes dan Support Vector Machine Purnama, Putri Intan; Suryono, Ryan Randy
Building of Informatics, Technology and Science (BITS) Vol 6 No 4 (2025): March 2025
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v6i4.6575

Abstract

With the advancement of information and communication technology, it has become easier for people to exchange information and access educational content, including through online learning platforms such as Ruangguru. One of Ruangguru's flagship programs is Clash of Champions, which attracts public attention and generates various sentiments on social media. However, analyzing public sentiment towards this program faces challenges, especially due to the imbalance in the amount of data between majority and minority sentiments, which may affect the accuracy of sentiment analysis models. This study aims to compare the performance of two algorithms, namely Naïve Bayes and Support Vector Machine (SVM), in analyzing public sentiment towards this program. Using 5,226 tweets from social media X, the data was balanced using the Synthetic Minority Oversampling Technique (SMOTE) method to overcome the data imbalance problem. After the data was divided into 80% for training and 20% for testing, the results showed that before using SMOTE, Naïve Bayes had an accuracy of 78%, while SVM reached 82%. After SMOTE was applied, Naïve Bayes' accuracy increased to 79%, while SVM rose to 84%. In addition to accuracy, significant improvements were also seen in precision, recall, and f1-score, especially for positive sentiments. The results show that SVM is superior to Naïve Bayes, both in accuracy and other evaluation metrics. This research provides an in-depth understanding of the effectiveness of algorithms in sentiment analysis on entertainment-based educational programs and is expected to be a reference for the development of similar models in the future.
Estimasi Nilai Ekonomi dan Strategi Pengelolaan Agro Eduwisata Organik Mulyaharja: Estimation of the economic value and development strategy for Mulyaharja Organic Agro Edutourism. Purnama, Putri Intan; Ismail, Ahyar
Indonesian Journal of Agricultural Resource and Environmental Economics Vol. 3 No. 1 (2024): June 2024
Publisher : IPB University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijaree.v3i1.51243

Abstract

Sektor pariwisata adalah sektor yang sangat potensial untuk meningkatkan perekonomian nasional. Aktivitas ekonomi dalam wisata sangat dipengaruhi oleh preferensi konsumen dalam memilih atraksi wisata. Aktivitas wisata terutama wisata alam menghasilkan layanan jasa lingkungan yang dapat diperhitungkan sebagai nilai ekonomi. Keterbatasan mekanisme pasar untuk mengukur nilai jasa wisata alam menyebabkan jasa wisata cenderung dinilai lebih rendah (undervalue). Tujuan penelitian ini adalah mengidentifikasi pola permintaan wisatawan, mengestimasi nilai ekonomi, menganalisis daya dukung kawasan dan merumuskan strategi dalam mengelola kawasan wisata. Metode yang digunakan yaitu Analisis Deskriptif, Travel Cost Method, Physical Carrying Capacity, Real Carrying Capacity dan Effective Carrying Capatiy, Analasis SWOT dan Quantitative Strategic Planning Matrix (QSPM). Hasil penelitian menunjukkan bahwa wisatawan menilai Agro Eduwisata Organik dalam kondisi baik walaupun terdapat kekurangan pada aspek penilaian kualitas air, fasilitas wisata dan aksesbilitas. Tujuan wisatawan terhadap lokasi wisata yaitu wisatawan mengunjungi untuk menikmati pemandangan/Landscape. Nilai ekonomi wisata di kawasan yaitu sebesar Rp 256.250.000 per tahun. Secara umum daya dukung kawasan Agro Eduwisata Organik Mulyaharja mengalami over carrying capacity pada beberapa atraksi, tetapi pada atraksi lainnya masih under carrying capacity. Strategi yang menjadi prioritas utama yaitu mengevaluasi dan mengembangkan pembangunan objek wisata dengan berkerjasama dengan investor atau pemda. The tourism sector has the potential to improve the national economy. Consumer preferences strongly influence economic activity in tourism when choosing tourist attractions. Tourism activities, especially nature tourism, produce environmental services that can be calculated as economic value. However, the limitations of market mechanisms to measure the value of natural tourism services cause tourism services to tend to be undervalued (undervalued). This study aims to identify patterns of tourist demand, estimate economic value, analyze the area's carrying capacity, and formulate strategies for managing tourist areas. The methods used are Descriptive Analysis, Travel Cost Method, Physical Carrying Capacity, Real Carrying Capacity and Effective Carrying Capacity, SWOT Analysis, and Quantitative Strategic Planning Matrix (QSPM). The results showed that tourists rated Organic Agro Edutourism in good condition despite deficiencies in water quality assessment, tourist facilities, and accessibility. Tourists visit tourist sites to enjoy the scenery/landscape. The economic value in the area is IDR 256,250,000 per year. In general, the carrying capacity of the Mulyaharja Organic Agro-Edutourism area is experiencing over-carrying capacity at some attractions, but other attractions still need to be under-carrying capacity. The strategy that becomes the main priority is evaluating and developing the development of tourist objects in collaboration with investors or local governments.
Co-Authors Ahyar Ismail Ryan Randy Suryono