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All Journal Pro Bisnis Jurnal Abdimas BSI: Jurnal Pengabdian Kepada Masyarakat JURTEKSI Community Engagement and Emergence Journal (CEEJ) BERNAS: Jurnal Pengabdian Kepada Masyarakat Madani : Indonesian Journal of Civil Society Nusantara Hasana Journal Jurnal Pengabdian Masyarakat (ABDIRA) Jurnal Algoritma Jurnal Pengabdian Mitra Masyarakat (JPMM) Journal of Multimedia Trend and Technology
Luzi Dwi Oktaviana
Universitas Amikom Purwokerto
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Dentistry Economics, Econometrics & Finance Education Environmental Science Health Professions Languange, Linguistic, Communication & Media Mathematics Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Veterinary Other

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SENTIMENT ANALYSIS OF PEGIPEGI.COM ON GOOGLE PLAYSTORE WITH NAÏVE BAYES ALGORITHM Riski Hardian; Luzi Dwi Oktaviana; Aulia Hamdi
JURTEKSI (Jurnal Teknologi dan Sistem Informasi) Vol 10, No 3 (2024): Juni 2024
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v10i3.3201

Abstract

Abstract: Today, many users use online platforms rather than offline platforms for ticket bookings, involving a wide range of services such as flights, hotels, trains, buses, and entertainment. PegiPegi.com, as one of the fastest growing online travel agencies in Indonesia, demonstrates success by understanding the value of technology and maintaining strong partnerships. Users of this platform often provide reviews, viewing user reviews can be done manually but this will have a less effective impact, so it needs to be done automatically with sentiment analysis. This research the Naïve Bayes method in sentiment analysis of PegiPegi.com reviews, with a focus on understanding customer satisfaction and service improvement. By combining these approaches, this research contributes to a deeper understanding of user responses to OTA services and presents the evaluation results of the Multinomial Naive Bayes classification model with an accuracy rate of 89.5%. The high precision in the Negative class demonstrates the model's ability to identify negative reviews. However, there are challenges in classifying the Neutral class, indicating the potential for further improvement. Nevertheless, the F1 score of 0.522 reflects a good balance between overall precision, recall so it can be concluded the naïve bayes algorithm is successful for performing sentiment analysis. Keywords: Sentiment analysis; naïve bayes algorithm; pegipegi.com; playstore  Abstract: Saat ini banyak pengguna platform online dibandingkan offline untuk pemesanan tiket, yang melibatkan berbagai layanan seperti penerbangan, hotel, kereta api, bus, dan hiburan. PegiPegi.com, sebagai salah satu agen perjalanan online yang berkembang pesat di Indonesia, menunjukkan keberhasilan dengan memahami nilai teknologi dan mempertahankan kemitraan yang kuat. Pengguna platform ini sering memberikan ulasan, melihat ulasan pengguna bisa saja dilakukan secara manual tetapi hal ini akan memberikan dampak yang kurang efektif, sehingga perlu dilakukan secara otomatis dengan analisis sentiment. Penelitian ini bertujuan untuk menerapkan metode klasifikasi Naïve Bayes dalam analisis sentimen ulasan PegiPegi.com, dengan fokus pada pemahaman kepuasan pelanggan dan peningkatan layanan. Dengan menggabungkan pendekatan ini, penelitian ini berkontribusi pada pemahaman yang lebih dalam tentang tanggapan pengguna terhadap layanan OTA dan menyajikan hasil evaluasi model klasifikasi Multinomial Naive Bayes dengan tingkat akurasi 89,5%. Presisi tinggi di kelas Negatif menunjukkan kemampuan model untuk mengidentifikasi ulasan negatif. Namun, ada tantangan dalam mengklasifikasikan kelas Netral, menunjukkan potensi untuk perbaikan lebih lanjut. Namun demikian, skor F1 0,522 mencerminkan keseimbangan yang baik antara presisi keseluruhan dan daya ingat sehingga dapat disimpulkan algoritma naïve bayes berhasil untuk melakukan analisis sentimen. Keywords: Analisis sentimen; naïve bayes; pegipegi.com; playstore
Evaluasi Kinerja Penjualan dan Efisiensi Iklan Kampanye GMV Max pada TikTok Shop Garage Fortress Rachman Hidayat; Jeffri Prayitno Bangkit Saputra; Luzi Dwi Oktaviana
Jurnal Algoritma Vol 23 No 1 (2026): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.23-1.3445

Abstract

The growth of social commerce has driven changes in digital marketing strategies that are increasingly data-driven and automated on e-commerce platforms. One of the features utilized in TikTok Shop is GMV Max, an automated campaign system designed to optimize sales performance through platform-based advertising management. This study aims to describe and evaluate the sales performance of TikTok Shop Garage Fortress under the GMV Max campaign using a descriptive quantitative approach based on secondary data obtained from campaign reports covering the period from October 9, 2025, to April 6, 2026. The analysis focuses on GMV, number of orders, advertising costs, ROAS, and conversion rate indicators without examining causal relationships among variables. The results show that the GMV Max campaign generated a total GMV of IDR 25,608,081 with 772 orders, advertising expenditure of IDR 2,324,547, a weighted ROAS of 11.02×, and a conversion rate of 6.15 percent. The GLASSWOOL product campaign contributed the largest share of sales value and number of orders. Based on advertising content type, video advertisements demonstrated higher performance in terms of GMV and ROAS, while product cards achieved a higher conversion rate. Overall, the findings indicate that the GMV Max campaign within the research dataset produced a positive ROAS and measurable conversion rate, although the interpretation of the results should still consider data quality and potential attribution anomalies within the TikTok Shop platform.
Adaptasi Teknologi Sebagai Penguatan Program PIK Remaja Bagi Kader Pembantu Pembina Keluarga Berencana Desa Ketenger (PPKBD) Suliswaningsih Suliswaningsih; Luzi Dwi Oktaviana; Anas Nur Khafid; Wiqor Furqoni
Community Engagement and Emergence Journal (CEEJ) Vol. 5 No. 3 (2024): Community Engagement & Emergence Journal (CEEJ)
Publisher : Yayasan Riset dan Pengembangan Intelektual

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37385/ceej.v5i3.6496

Abstract

Desa Ketenger merupakan salah satu desa di Kecamatan Baturraden yang mendapat predikat Kampung KB, memiliki Kader Pembantu Pembina Keluarga Berencana Desa (PPKBD). Salah satu program kerja PPKBD Ketenger yaitu peningkatan SDM PIK Remaja. Salah satu tujuan PIK Remaja adalah Keterampilan Hidup (Life Skill), dimanan remaja dipersiapkan untuk dapat memiliki keterampilan sebelum mereka terjun ke kehidupan perkawinan/bermasyarakat. Selain itu, program tersebut sangat bermanfaat bagi remaja karena remaja adalah usia produktif dan usia perkembangan/pencarian jati diri. Sehingga perlu diarahkan dengan benar. Usia remaja merupakan usia sekolah, masih adanya indikasi siswa yang memiliki self control belajar yang lemah, padahal mereka berada pada era revolusi industri 4,0 yang mengharuskan seseorang memiliki self control belajar yang baik. Jika ini tidak dilakukan tindakan preventif maka akan mengganggu proses belajar siswa di sekolah. Tujuan pengabdian ini adalah memberikan pelatihan adaptasi teknologi berupa membuat desain grafis menggunakan Adobe Illustrator. Kegiatan pengabdian akan direkam dan diunggah ke platform Youtube, sehingga dapat diakses secara online.
Transformasi Digital BUMDes Tambaknegara Berkarya dalam Optimalisasi Pengelolaan Pariwisata Luzi Dwi Oktaviana; Ilham Albana; Septi Fajarwati; Anugerah Bagus Wijaya; Zanuar Rifai; Fiby Nur Afiana
Jurnal Pengabdian Masyarakat (ABDIRA) Vol 6, No 3 (2026): Abdira
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/abdira.v6i3.2086

Abstract

Sorjem (Ngisor Jembatan) is a leading tourism destination in Tambaknegara Village, located along the Serayu River. It offers nature- and culture-based attractions, including river cruises, local culinary experiences, and interactions with local traditions. Managed by the Village-Owned Enterprise (BUMDes) “Tambaknegara Berkarya,” the destination faces challenges related to fragmented tourism service management and limited promotional activities. To address these issues, a Community Service Program (PKM) conducted by Universitas Amikom Purwokerto and funded by the Ministry of Education, Culture, Research, and Technology (Kemendikbudristek) in 2025 was implemented. The program produced an integrated tourism management website covering ticketing, boat rentals, and culinary services, strengthened social media promotion through regular content updates, and improved the BUMDes organizational structure by establishing a dedicated tourism division. Conducted from July to December 2025, the program aimed to enhance tourism management, increase promotional capacity, and strengthen institutional support for sustainable village tourism development.
Co-Authors Aan Riyani Anas Nur Khafid Anugerah Bagus Wijaya Aulia Hamdi Bangkit, Jeffri Prayitno Desty Sandra Utami Fiby Nur Afiana Fiby Nur Nur Afiana Ika Romadoni Yunita ilham albana Muliasari Pinilih Prayoga Pribadi Rachman Hidayat Retno Waluyo Riski Hardian Septi Fajarwati Shodiq Khalidy Suliswaningsih Tri Muryanti Trias Bratakusuma Uswatun Hasanah Waidi Wiqor Furqoni Zanuar Rifai Zanuar Rifai Zanuar Rifai Zanuar Rifa’i