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PEMBUATAN APLIKASI PEMBELAJARAN BAHASA JERMAN BERBASIS MOBILEANDROID Wibisono, Satrio
Prosiding KOMMIT 2012
Publisher : Prosiding KOMMIT

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

Abstract

Platform android memilki kemampuan untuk digunakan sebagai pembelajarankarena fiturnya yang lengkap.  Untuk itu penulis tertarik ingin membuat sebuah  aplikasi pembelajaran Bahasa Jerman Level Dasar Berbasis Android. Aplikasi ini memberikanfasilitas pembelajaran tentang pengenalan dasar yang meliputialfabet dan numberyang disertakan dengan contoh dan dilengkapi dengan suara. Aplikasi ini juga terdiridari menu dialog yang disertakan dengan suara untuk mempermudah pemahaman, menu kosakata untuk mempermudah mengetahui arti pada setiap kata, menu tatabahasa untuk mempermudah pemahaman tentang tata bahasa yang disertakan dengan contoh – contoh kalimat. Aplikasi ini juga memberikan fasilitas untuk mengevaluasihasil belajar, yaitu dengan disediakannya latihan soal serta ujian, dimana nantinyauser dapat melihat nilaiyang didapatkannya selama belajar menggunakan aplikasiDeutsch Lernen. Denganadanya aplikasiini diharapkan dapatmemudahkan dan membantu para pengguna android yang ingin belajar mengenai bahasa Jerman
Analisis Sentimen Terhadap Aplikasi M-Paspor Menggunakan Algoritma Long Short-Term Memory (LSTM) dan BERT Embedding Hardianto, Bambang Gunawan; Wibisono, Satrio
Jurnal Ilmiah Teknologi dan Rekayasa Vol 30, No 2 (2025)
Publisher : Universitas Gunadarma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35760/tr.2025.v30i2.12687

Abstract

The Directorate General of Immigration launched the M-Paspor app for online passport applications. Although it has been downloaded more than 1 million times, its 2.5 rating indicates user dissatisfaction. Review analysis is necessary for developers to understand the issues and improve the app to enhance the overall user experience. Therefore, this study conducts sentiment analysis on M-Paspor app reviews using a combination of Bidirectional Encoder Representations from Transformers (BERT) embedding and LSTM to classify user opinions. The advantage of BERT lies in its ability to understand the deep context of text, while LSTM excels in handling sequential data. LSTM is used as a classification method because it can capture long-term patterns in sequential data through memory management with cell states and three main gates, enabling it to continuously understand sentence context to support sentiment analysis. In this study, labeling consists of three classes: positive, negative, and neutral, using the lexicon method. The LSTM-BERT model shows consistent and higher accuracy values with a smaller proportion of training data. Testing results with a confusion matrix show the highest accuracy of 91.33% on a 70%:30% data split.
Pengaruh Gaya Hidup, Suasana Toko dan Kualitas Pelayanan Terhadap Keputusan Pembelian di Masa Pandemi Covid-19 di @Adakopi Parung Bogor Wibisono, Satrio; Ilyas, Amin; Bahri, Khotimi
Jurnal Publikasi Ilmu Manajemen Vol. 2 No. 4 (2023): Desember: Jurnal Publikasi Ilmu Manajemen
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jupiman.v2i4.2758

Abstract

This study aims to determine a new culture that develops towards increased coffee consumption every year, whether there are lifestyle factors, shop atmosphere and service quality on purchasing decisions at @AdaKopi Parung Bogor. The research method used is a quantitative type with descriptive nature with multiple linear analysis, with purposive sampling technique. Quantitative analysis includes validity and reliability tests, basic assumption tests, classical assumption tests, and hypothesis testing using the f and t test as well as the coefficient of determination (R2) analysis test and then distributing questionnaires to 383 @AdaKopi Parung Bogor consumers. Distribution of questionnaires using a 5-scale Likert scale with research testing using the SPSS 25 instrument test. The results are (H1) lifestyle towards purchasing decisions of tvalue 4.296> t table 1.966 H0 rejected Ha accepted. (H2) store atmosphere on purchasing decisions of tvalue 5.831> t table 1.966 H0 rejected Ha accepted. (H3) Service quality on purchasing decisions is tvalue 9,025> t table 1,966 H0 rejected Ha accepted. (H4) together, the size of the contribution of lifestyle, shop atmosphere and service quality to purchasing decisions is F value 342.505> F table 2.63 H0 is rejected Ha is accepted, it means that lifestyle, shop atmosphere and service quality jointly affect the purchase decision products at @AdaKopi Parung Bogor