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All Journal Jurnal SOLMA SINTECH (Science and Information Technology) Journal Technologia: Jurnal Ilmiah International Journal of Advances in Data and Information Systems Idealis : Indonesia Journal Information System Jurnal Info Sains : Informatika dan Sains
Dwi Diana Wazaumi
Informatics Management Study Program, Astra Polytechnic
Computer Science & IT Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Other

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Exploring Sentiment Trends: Deep Learning Analysis of Social Media Reviews on Google Play Store by Netizens Rosa Eliviani; Dwi Diana Wazaumi
International Journal of Advances in Data and Information Systems Vol. 5 No. 1 (2024): April 2024 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v5i1.1318

Abstract

This study explores sentiment analysis of Instagram app reviews using Long Short-Term Memory (LSTM) algorithms. The rise of app stores has transformed digital interactions, particularly for social media apps. Leveraging LSTM, we aim to understand user sentiments expressed in Instagram application reviews, offering insights to enhance user experience and address concerns. The methodology involves data crawling, preprocessing, LSTM model training, and evaluation metrics. Our findings reveal promising results in accurately identifying user sentiments, with an accuracy of 77.77%, precision of 0.45, recall of 0.089, and F1-score of 0.15. This study underscores the importance of sentiment analysis in understanding user feedback and its implications for app development and user engagement.
Detecting Emotions of Indonesian Songs Based on Plutchik’s Theory using Data Mining Wardani, Deyana Kusuma; Wazaumi, Dwi Diana; Winahyu, Raden Rara Kartika Kusuma
SINTECH (Science and Information Technology) Journal Vol. 7 No. 1 (2024): SINTECH Journal Edition April 2024
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v7i1.1509

Abstract

Listening to songs is a daily activity that everyone engages in. Most people choose songs based on their mood, so a system is needed to detect emotions from song lyrics. Previous research only focused on five basic emotions: happy, sad, love, anger, and fear. In this study, we propose a new method to detect emotions from song lyrics using Plutchik's emotion theory. The data used for this research consisted of 250 song lyrics from Indonesian songs. This research categorizes human emotions into eight: joy, trust, surprise, sadness, disgust, anger, and anticipation. Next, the threshold value is calculated. This value is used to determine the dominant emotion. If the frequency value of an emotion is higher than the threshold value, the system considers it as the dominant emotion. The dominant emotions are then classified into positive and negative emotions using cosine similarity calculations. The sampling technique involves using 30% of the test data, resulting in an accuracy of 0.81.
Designing a SMART algorithm-based decision support system for streamlining makeup selection through prototyping development Wazaumi, Dwi Diana; Wardani, Deyana Kusuma; Abdullah, Abdul Aziz
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 01 (2024): Informatika dan Sains , Edition March 2024
Publisher : SEAN Institute

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

Abstract

The research on developing a cosmetic makeup product recommendation system emerged in response to various common skin issues resulting from improper makeup usage, especially among teenagers. This study emphasizes the utilization of the Simple Multi-Attribute Rating Technique, considering criteria such as skin type, skin problems, age, price, shade, and longevity of the product. However, in testing 8 scenarios, the obtained accuracy was 62%, possibly due to the limited variations of alternatives tested. The hope is that this recommendation system can serve as a solution for the public in selecting cosmetic products that better suit their individual skin conditions, consequently aiding in reducing common skin problems resulting from inadequate product choices.
IMPLEMENTASI FRAMEWORK SCRUM DALAM PENGEMBANGAN DASHBOARD MONITORING UNTUK OPTIMASI PENGELOLAAN DATA INTERFACE Wazaumi, Dwi Diana; Saputro, Vian Ardiyansyah; Nisa, Seftia Khairun; Zahrani, Sharla Adhita
IDEALIS : InDonEsiA journaL Information System Vol. 8 No. 1 (2025): Jurnal IDEALIS Januari 2025
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/idealis.v8i2.3338

Abstract

In today's digital era, data that is managed efficiently and effectively is a success for a company when facing problems in an ever-changing business. PT XYZ is one of the many companies in the automotive sector, PT XYZ needs to ensure that their interface data can be managed optimally. However, interface data management is often faced with various challenges, such as large volumes of data, continuous monitoring, and the need to identify problems that will arise early. In order to overcome these problems, PT XYZ has a plan to design an application called MyZ as a monitoring solution through a dashboard that aims to monitor files and find potential problems related to interface data. The focus of this study is on the development of the MyZ application as a monitoring dashboard and adopting the Scrum approach to optimize data interface management at PT XYZ. The findings obtained from the development of the MyZ application, this application can show the time needed to send data via email an average of 3.3 seconds, this indicates that the MyZ application allows users to receive information quickly, so that it can speed up the decision-making process. While the presentation of information in the dashboard takes an average of 1.5 seconds. This shows that the MyZ application can provide a fast and efficient response in supporting the interface data monitoring process and minimizing waiting time. This efficiency is very relevant in a dynamic work environment and requires a fast response to data changes.
PENERAPAN BUSINESS PROCESS REENGINEERING MENGGUNAKAN FRAMEWORK SHAREPOINT PADA PORTAL PROFIL PERUSAHAAN DI PT XYZ Wazaumi, Dwi Diana; Atikah, Luthfi; Ananda Putri, Zahra Salsabilla; Fairuzzanu Juliansyah, Zakky Rabindra
Technologia : Jurnal Ilmiah Vol 16, No 2 (2025): Technologia (April)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31602/tji.v16i2.18008

Abstract

PT XYZ merupakan perusahaan penyedia layanan digital yang menerapkan teknologi digital pada bisnis suatu organisasi dengan menyediakan solusi dan teknologi digital. Oleh karena itu, PT XYZ terus berinovasi dan beradaptasi dengan perkembangan teknologi terkini. Sebagai bagian dari strategi perusahaan dalam meningkatkan kepuasan pelanggan dan memperluas jangkauan layanan, PT XYZ memahami bahwa beberapa perusahaan klien masih menghadapi tantangan dalam memanfaatkan sistem informasi dalam manajemen sebagai sumber daya yang akan menimbulkan permasalahan karena kurangnya optimalisasi seperti manajemen informasi yang buruk, manajemen dokumen yang tidak terorganisir, komunikasi internal yang terganggu. Berdasarkan permasalahan yang timbul maka PT XYZ merencanakan pengembangan sistem informasi berbasis Portal Perusahaan di microsoft Sharepoint. Dengan merancang menggunakan pendekatan waterfall dan pendekatan menggunakan pendekatan Business Process Reengineering (BPR). Didapat hasil berdasarkan perhitungan efisiensi throughput dari 17,24% menjadi 100%.
Pelatihan Scrum Menggunakan Model Pembelajaran Kooperatif dalam Pembelajaran Manajemen Proyek di SMKN 1 Depok Wazaumi, Dwi Diana; Wardani, Deyana Kusuma
Jurnal SOLMA Vol. 14 No. 1 (2025)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v14i1.18066

Abstract

Pendahuluan: Integrasi kecerdasan buatan dan pemrograman dalam kurikulum pendidikan STEM menjadi langkah strategis untuk memperkuat kemampuan siswa dalam menghadapi tantangan dunia kerja. Salah satu pendekatan yang dapat diterapkan adalah framework Scrum, yang efektif dalam mengembangkan keterampilan teknis dan non-teknis siswa. Studi ini bertujuan untuk mengimplementasikan pelatihan Scrum di SMK dan mengevaluasi efektivitasnya dalam meningkatkan keterampilan kolaborasi dan manajemen proyek siswa. Metode: Persiapan materi, pelaksanaan pelatihan yang dibagi menjadi sesi materi dan simulasi praktis menggunakan Lego, serta evaluasi menggunakan kuesioner. Hasil: 76% peserta merasa mudah mengikuti materi dan memperoleh pengetahuan yang berguna dalam manajemen proyek. Simulasi menggunakan Lego mendapat penilaian sangat baik dengan skor 4,5 dari 5. Evaluasi juga mengungkapkan kepuasan peserta, meskipun ada beberapa saran untuk memperbaiki kegiatan di masa depan. Kesimpulan: Pelatihan ini bermanfaat karena dapat meningkatkan keterampilan kolaborasi serta pemecahan masalah siswa dalam proyek berbasis teknologi.
Co-Authors ABDUL AZIZ ABDULLAH Ananda Putri, Zahra Salsabilla Atikah, Luthfi Fairuzzanu Juliansyah, Zakky Rabindra Nisa, Seftia Khairun Rosa Eliviani Saputro, Vian Ardiyansyah Wardani, Deyana Kusuma Winahyu, Raden Rara Kartika Kusuma Zahrani, Sharla Adhita