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All Journal Jurnal Pengabdian Masyarakat: Darma Bakti Teuku Umar JATI (Jurnal Mahasiswa Teknik Informatika)
Sagita, Ayu
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Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Economics, Econometrics & Finance Other

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Pengembangan Program Kegiatan dan Pendampingan Penyusunan Rencana Pembangunan Jangka Menengah (RPJMDes) Tahun 2023-2028 Desa Ulak Kembahang II Mardalena, Mardalena; Subardin, Muhammad; Rohima, Siti; Imelda, Imelda; Sagita, Ayu; Nida, Rahma; Harunurrasyid, Harunurrasyid
Jurnal Pengabdian Masyarakat: Darma Bakti Teuku Umar Vol 5, No 1 (2023): Januari-Juni
Publisher : Universitas Teuku Umar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35308/baktiku.v5i1.7288

Abstract

Community Service Activities are one of the Tri Dharma of Higher Education that must be carried out, so the Service Team of the Faculty of Economics, Sriwijaya University hold a service activity in 2021 in Ulak Kembahang II Village, Pemulutan Barat District, Ogan Ilir Regency. This service activity is the provision of focus group discussion  (FGD) and training in the preparation of the RPJMDes using the lecture, discussion, and questionnaire methods. The implementation of this activity is rooted in the problems faced by the Ulak Kembahang II village officials, namely the village officials still do not quite understand the importance of preparing the RPJMDes due to the lack of knowledge, skills and creativity, especially in the preparation of village programs and activities. Thus, the purpose of this activity is to carry out education and training for village officials in making RPJMDes so that village officials have knowledge and skills about making RPJMDes Ulak Kembahang II Village. The results of the questionnaire regarding the evaluation of participants' understanding of the material that had been delivered showed the participants' understanding level with an average of 82.33 percent. Thus, 29 participants in the activity consisting of 11 village officials, 4 BPD administrators, 3 LPM administrators, 4 PKK women, and 7 BUMDes administrators are expected to be able to prepare the RPJMDes of Ulak Kembahang Village II for the next period independently and participate fully in accordance with government guidelines or regulations.
PENERAPAN METODE RANDOM FOREST DALAM MENGANALISIS SENTIMEN PENGGUNA APLIKASI CAPCUT DI GOOGLE PLAY STORE Sagita, Ayu; Faqih, Ahmad; Dwilestari, Gifthera; Siswoyo, Bambang; Pratama, Denni
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 7 No. 6 (2023): JATI Vol. 7 No. 6
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v7i6.8205

Abstract

Pengguna aplikasi CapCut semakin meluas di kalangan pengguna smartphone. Namun, tanggapan pengguna terhadap aplikasi ini sangat bervariasi. Selain itu, perkembangan terus-menerus dalam menambah fitur dan kemampuan pengeditan telah membawa kompleksitas penggunaan aplikasi ini semakin meningkat. Penelitian ini bertujuan untuk menganalisis sentimen pengguna CapCut melalui ulasan yang terdapat di Google Play Store menggunakan metode Random Forest. Metode ini dipilih untuk mengidentifikasi dan mengelompokkan tanggapan pengguna ke dalam kategori positif dan negatif secara efisien. Dataset yang digunakan dalam penelitian ini mencakup 5000 ulasan, mencerminkan keragaman pendapat dari pengguna yang berpartisipasi aktif. Tahapan preprocessing data melibatkan proses cleaning, case folding, tokenisasi, stopword removal, dan lemmatisasi untuk memastikan kualitas data yang baik sebelum dilakukan analisis sentimen. Selanjutnya, pembobotan kata dilakukan dengan metode TF-IDF untuk memberikan nilai bobot pada kata-kata yang mempengaruhi sentimen pengguna. Hasil penelitian menunjukkan bahwa metode Random Forest memberikan tingkat akurasi yang tinggi dalam menganalisis sentimen pengguna CapCut, dengan akurasi sebesar 86%, presisi 89%, recall 81%, dan f1-score 85%. Penelitian ini memberikan pemahaman lebih lanjut terkait tanggapan pengguna terhadap aplikasi CapCut, serta menegaskan keberhasilan metode Random Forest dalam menangani analisis sentimen pada dataset ulasan pengguna di Google Play Store.
Co-Authors Ahmad Faqih Bambang Siswoyo Gifthera Dwilestari Harunurrasyid, Harunurrasyid Mardalena Mardalena Nida, Rahma Pratama, Denni Siti Rohima Subardin, Muhammad