Fiddin Yusfida A'la
Universitas Sebelas Maret

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Indonesian Sentiment Analysis towards MyPertamina Application Reviews by Utilizing Machine Learning Algorithms Fiddin Yusfida A'la
Journal of INISTA Vol 5 No 1 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v5i1.838

Abstract

This paper is a report of experiment analysis on sentiment analysis in application review that explored the methods and the data. Application review contains a large amount of raw data that has been published by users in the form of text, image, audio, and video. The data can be converted into valuable information by using sentiment analysis. In this work, around 5000 Indonesian review in MyPertamina google play application are analyzed. The goal of this study was to investigate the effectiveness of using sentiment analysis to extract valuable insights from application reviews. Some techniques were applied during this work, such as data collection, pre-processing, feature extraction, TF-IDF text representation, machine learning modelling, and evaluation phase. The machine learning algorithms that we used are Linear Support Vector Classification (Linear SVC) and Multinomial Naïve Bayes (Multinomial NB). The result shows both machine learning models present good performance in this data. The accuracy of Multinomial NB reaches 95%, while Linear SVC obtains 96% of accuracy. The results of the experiment suggest that both Linear SVC and Multinomial NB are well-suited for sentiment analysis tasks on Indonesian language data. Future work could include expanding the dataset to include reviews from a broader range of applications, or evaluating the performance of additional machine learning algorithms. In addition, word cloud analysis also performed in this experiment. The word cloud shows that positive and negative sentiment present some popular words which appear inside the review. It would also be interesting to conduct a deeper analysis of the word cloud results to identify common themes and trends in the positive and negative sentiments expressed in the reviews
Analisis UI/UX Bisnis Distro dengan Metode Design Thinking and Lean Start-Up Yudho Yudhanto; Winita Sulandari; Fiddin Yusfida A'La; Dedy Eka Timbul Prayoga; Aulia Miftakhul Qisti; Dimas Prasetyo Utomo; Saifu  Rohman
IJAI (Indonesian Journal of Applied Informatics) Vol 9, No 2 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v9i2.94801

Abstract

Abstrak : Distro X, merupakan salah satu vendor konveksi dan suvenir. Distro X menghadapi berbagai tantangan, salah satunya adalah kebutuhan untuk meningkatkan visibilitas usaha di dunia digital. Salah satunya adalah memiliki website untuk memperluas jangkauan pasar dan meningkatkan omzet penjualan, serta memudahkan platform pencarian. Dalam perancangan ini menggunakan kombinasi metode Design Thinking dan Lean Startup, yang dikenal efektif untuk desain UI/UX di industri kecil dan menengah. Pendekatan Design Thinking menekankan pemahaman mendalam terhadap kebutuhan pengguna dan memungkinkan terciptanya desain yang berfokus pada user experience. Sementara itu, metode Lean Startup memfasilitasi iterasi cepat melalui prototyping dan validasi berulang, sehingga menghasilkan solusi yang lebih adaptif dan relevan dengan kebutuhan spesifik industri kecil dan menengah yang memiliki sumber daya terbatas. Kombinasi kedua pendekatan ini terbukti mampu menghasilkan desain UI/UX yang tidak hanya user-friendly, tetapi juga efisien dalam hal pengembangan dan biaya. Proses perancangan ini melibatkan tujuh tahapan, yaitu emphatize, define, ideate, prototype, test, learn, dan release. Setiap tahapan dilakukan dengan tujuan mendapatkan pemahaman mengenai kebutuhan pengguna, mengembangkan ide-ide inovatif, serta menguji desain secara langsung. Hasil dari tahapan tersebut adalah sebuah desain UI/UX website yang siap untuk dikembangkan oleh developer. Desain ini diwujudkan dalam bentuk prototype simulasi website yang memudahkan visualisasi sebelum implementasi penuh. Berdasarkan hasil usability test, desain UI/UX ini dinyatakan layak dengan tingkat kelayakan sebesar 80,2%. Secara detail hasil ini merupakan rerata dari faktor Learnability 73.4%, Flexibility 76.5%, Effectiveness 82.16%, Attitude 88.6%. Persentase ini menunjukkan bahwa desain yang dihasilkan telah memenuhi standar kelayakan usability yang baik, mengingat standar rata-rata tingkat kelayakan usability yang diterima secara umum adalah sekitar 70-75%. Dengan demikian, hasil ini menunjukkan bahwa desain UI/UX DIstro X berada di atas rata-rata, sehingga layak untuk dikembangkan lebih lanjut. Hal ini juga mengindikasikan bahwa pendekatan kombinasi Design Thinking dan Lean Startup memberikan kontribusi signifikan dalam menghasilkan desain yang efektif dan memenuhi ekspektasi pengguna, khususnya di industri kecil dan menengah.====================================================Abstract : Distro X is a vendor specializing in garment and souvenir production. Distro X faces various challenges, including the need to enhance its digital visibility. One of the key initiatives is to establish a website to expand market reach, boost sales, and facilitate discoverability through search engines. The design process for the website employed a combination of Design Thinking and Lean Startup methodologies, which are recognized for their effectiveness in UI/UX design within small and medium enterprises (SMEs). The Design Thinking approach emphasizes a deep understanding of user needs and allows for the creation of user-centered designs, while the Lean Startup methodology facilitates rapid iteration through prototyping and repeated validation, leading to more adaptive and relevant solutions tailored to the specific needs of SMEs with limited resources.The combination of these two approaches has proven effective in producing UI/UX designs that are not only user-friendly but also efficient in terms of development and cost. The design process involved seven stages: empathize, define, ideate, prototype, test, learn, and release. Each stage was undertaken with the aim of gaining a better understanding of user needs, developing innovative ideas, and directly testing the design. The outcome of these stages was a UI/UX design for the website, ready to be developed by the developer. This design was materialized in the form of a simulated prototype to facilitate visualization prior to full implementation. Based on the usability test results, the UI/UX design was deemed feasible with an overall usability score of 80.2%. Specifically, this result represents the average of the following factors: Learnability (73.4%), Flexibility (76.5%), Effectiveness (82.16%), and Attitude (88.6%). This percentage indicates that the produced design has met the standard for good usability, considering the general benchmark for usability acceptance ranges between 70-75%. Thus, these results show that the UI/UX design for DIstro X surpasses the average, making it suitable for further development. This also indicates that the combination of Design Thinking and Lean Startup approaches contributes significantly to generating an effective design that meets user expectations, particularly in small and medium industries.