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All Journal SPIRIT DECODE: Jurnal Pendidikan Teknologi Informasi
Hengki Suhartoyo, Hengki
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Computer Science & IT Education Languange, Linguistic, Communication & Media Other

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Sentiment Analysis of Alfagift Application User Reviews Using Long Short-Term Memory (LSTM) and Support Vector Machine (SVM) Methods Damayanti, Erika; Vitianingsih, Anik Vega; Kacung, Slamet; Suhartoyo, Hengki; Lidya Maukar, Anastasia
Decode: Jurnal Pendidikan Teknologi Informasi Vol. 4 No. 2: JULI 2024
Publisher : Program Studi Pendidikan Teknologi Infromasi UMK

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51454/decode.v4i2.478

Abstract

The rapid advancement of mobile apps has emerged as an important aspect of the routine of internet-connected users. In Indonesia, many companies are introducing their apps to improve the quality of service for users, and Alfamart is one of them. However, users have identified many shortcomings in these apps. This feedback is provided by users on the review feature of the Alfagift app on the Google Play Store. This research aims to apply a sentiment analysis approach to identify the application's shortcomings so that developers can understand the aspects that need to be improved to improve the quality of application services. The research stages include data collection, preprocessing, labeling, weighting, classification of LSTM and SVM methods, and performance evaluation using a confusion matrix. The dataset consists of 1000 reviews obtained through web scraping techniques. This research uses the Lexicon-based method to classify the dataset into positive, negative, and neutral categories. The analysis results show that 801 data are classified as positive sentiment, 77 as negative sentiment, and 122 as neutral sentiment. Based on testing, both SVM and LSTM methods show good performance. The best accuracy results were obtained using the SVM method, which amounted to 83.5%. Meanwhile, the LSTM method achieved an accuracy of 82%.
SISTEM PAKAR PENANGANAN PENYAKIT HIPERTENSI DENGAN TERAPI FARMAKOLOGI MENGGUNAKAN METODE FORWARD CHAINING Ramadhan, Prayudi Wahyu; Vitianingsih, Anik Vega; Kristyawan, Yudi; Suhartoyo, Hengki; Ana Wati, Seftin Fitri
SPIRIT Vol 16, No 1 (2024): SPIRIT
Publisher : LPPM ITB Yadika Pasuruan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53567/spirit.v16i1.338

Abstract

Peningkatan tekanan darah sistolik dan diastolik merupakan hipertensi. Penderita penyakit hipertensi biasanya tidak menyadari bahwa dirinya menderita penyakit tersebut. Tindakan awal dan paling penting bagi individu yang telah mendapat diagnosis hipertensi adalah menurunkan tekanan darahnya melalui modifikasi gaya hidup dan pengobatan farmakologis. Keterlambatan pengobatan adalah masalah sosial saat ini, karena kondisi beberapa orang baru diperiksa setelah penyakitnya mencapai stadium lanjut. Pemeriksaan rutin diperlukan jika masalah muncul kembali dan kondisi kesehatan pasien memburuk. Namun, ada individu tertentu yang gagal melakukan pemeriksaan ini karena berbagai faktor, seperti jadwal yang padat dan biaya selangit yang terkait dengan penilaian tersebut. Dengan mengandalkan kemajuan teknologi, sekiranya penerapan pembuatan aplikasi sistem pakar penanganan penyakit hipertensi dengan terapi farmakologi memakai metode forward chaining berbasis website dapat membantu masyarakat dalam mengetahui gejala, jenis, dan penanganan penyakit hipertensi, serta menjadi media untuk konsultasi secara gratis. Dimana telah dibuktikan dengan 10 responden yang 94% rata rata menjawab sistem mudah digunakan.
Co-Authors Ana Wati, Seftin Fitri Anik Vega Vitianingsih Damayanti, Erika Lidya Maukar, Anastasia Ramadhan, Prayudi Wahyu Slamet Kacung, Slamet Tri Adhi Wijaya, Tri Adhi Yudi Kristyawan, Yudi