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All Journal Telematika : Jurnal Informatika dan Teknologi Informasi InComTech: Jurnal Telekomunikasi dan Komputer JOURNAL OF APPLIED INFORMATICS AND COMPUTING International Journal of New Media Technology Compiler Jurnal Berdaya Mandiri Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer) Jurnal Abdi Masyarakat Saburai (JAMS) Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia Applied Science and Technology Research Journal Indonesian Journal on Data Science Fahma : Jurnal Informatika Komputer, Bisnis dan Manajemen
Irmma Dwijayanti
Universitas Jenderal Achmad Yani Yogyakarta
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Analisis Pengalaman Pengguna Fitur Toko Kesehatan Pada Aplikasi Halodoc Menggunakan User Experience Questionnaire Siskasari, Dini; Nur Iman , Khamid; Dwijayanti , Irmma; Setiya Darma, Catur
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 23 No 2 (2025): Mei 2025
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v23i2.180

Abstract

Perkembangan teknologi digital telah mendorong inovasi layanan kesehatan melalui aplikasi e-health, salah satunya Halodoc. Salah satu fitur penting aplikasi ini adalah Toko Kesehatan, yang memungkinkan pengguna membeli produk kesehatan secara daring. Penelitian ini bertujuan untuk mengevaluasi pengalaman pengguna (User Experience/UX) pada fitur Toko Kesehatan menggunakan User Experience Questionnaire (UEQ). Data dikumpulkan melalui survei daring dengan 103 partisipan aktif pengguna Halodoc. Evaluasi dilakukan terhadap enam dimensi UX, yaitu daya tarik, kejelasan, efisiensi, ketepatan, stimulasi, dan kebaruan. Hasil penelitian menunjukkan bahwa seluruh dimensi memperoleh skor rata-rata di atas 0,8, yang menandakan persepsi positif dari pengguna. Dimensi Ketepatan mencatat skor tertinggi (1,78) dan masuk kategori Excellent, sementara lima dimensi lainnya berada pada kategori Good. Temuan ini menegaskan bahwa fitur Toko Kesehatan Halodoc memiliki kualitas UX yang sangat baik dan kompetitif secara internasional. Penelitian ini memberikan implikasi praktis bagi pengembang Halodoc untuk mempertahankan keandalan sistem serta meningkatkan inovasi fitur, sekaligus memberikan kontribusi akademis dalam memperkaya kajian UX pada aplikasi e-health di Indonesia.
User Requirement Recommendation Model for Waste Reporting Platforms Based on UX Topics and Sentiment Analysis Dwijayanti, Irmma; Lahitani, Alfirna Rizqi; Habibi, Muhammad
Journal of Applied Informatics and Computing Vol. 9 No. 6 (2025): December 2025
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30871/jaic.v9i6.11371

Abstract

Waste management remains a critical issue in Indonesia, as emphasized in the RPJMN 2025–2029. Ineffective collection and processing services, coupled with limited public participation, continue to hinder progress. Meanwhile, social media has emerged as a primary channel for citizens to express complaints and reports on waste, yet the unstructured nature of comments poses challenges for integration into official reporting systems. This study proposes a user requirements recommendation model based on social media data by integrating sentiment analysis, topic modeling, and rule-based recommendation. Data were collected from YouTube and TikTok comments. Sentiment classification was performed using Support Vector Machine (SVM), while Latent Dirichlet Allocation (LDA) was employed for topic modeling, with results mapped onto the UX Honeycomb dimensions. Recommendation rules were then formulated by combining sentiment polarity with UX dimensions. The SVM model achieved an average accuracy of 87.5% with balanced precision, recall, and F1-score. LDA produced 15 coherent topics, which were distributed across seven UX dimensions. The integration revealed that the main user requirements include transparency in report follow-up through real-time notifications and clear status updates. Additional recommendations involve simplifying the reporting process, providing auto-fill features, improving visual design, and establishing a user appreciation system. The findings demonstrate the potential of leveraging social media comments to systematically capture user requirements, offering practical insights for developers to design waste reporting platforms that are effective, user-friendly, and responsive to community expectations.
Topic Analysis of Indonesian Online News on the Free Nutritious Meal Program Using Non-Negative Matrix Factorization Dwijayanti, Irmma; Lahitani, Alfirna Rizqi; Habibi, Muhammad
Compiler Vol 14, No 2 (2025): November
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/compiler.v14i2.3499

Abstract

The Free Nutritious Meal Program (MBG) represents a key policy of the Indonesian government to address malnutrition and stunting by providing nutritious meals for students. This study applies Non-Negative Matrix Factorization (NMF) for topic modeling on a long-text corpus of 5,390 digital news articles collected from seven national portals, with the aim of mapping public discourse on MBG. The optimal number of topics was determined using the coherence score, yielding nine distinct themes. Findings indicate that media coverage primarily revolves around program distribution in schools, the role of Micro, Small, and Medium Enterprises (MSMEs) and the food sector, budget allocation, political dynamics of national figures, and health-related concerns such as student poisoning cases. The results suggest that MBG is widely perceived as a strategic policy with broad implications for public policy, economic development, political debate, and social welfare. Methodologically, this research demonstrates the effectiveness of NMF in identifying latent thematic structures within long-text news corpora, offering insights into how digital media frames and interprets government initiatives.
Model Rekomendasi Destinasi Wisata Kreatif di Indonesia Berdasarkan Data Cuaca dan Ulasan Wisatawan Kharisma, Kharisma; Dwijayanti, Irmma; Saidata Aesyi, Ulfi; Rizqi Lahitani, Alfirna
JURNAL FASILKOM Vol. 15 No. 3 (2025): Jurnal FASILKOM (teknologi inFormASi dan ILmu KOMputer)
Publisher : Unversitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37859/jf.v15i3.10298

Abstract

Indonesia holds vast potential for creative tourism through its rich cultural heritage, natural beauty, and local creativity. However, travelers still face challenges in planning optimal trips due to the lack of context-aware and real-time recommendation systems. In practice, tourists often rely on Google Maps reviews, which are unorganized thematically, and there is limited integration with weather conditions—an important factor that significantly impacts travel experiences, particularly for nature-based destinations. This study aims to develop a recommendation model for creative tourism destinations in Indonesia by integrating two key aspects: sentiment analysis of Google Maps reviews and real-time weather data. The research utilizes tourist reviews from Google Maps alongside up-to-date weather information from destinations across Indonesia. The reviews are analyzed using the Support Vector Machine (SVM) algorithm to classify sentiments as positive or negative. These sentiment results are then combined with real-time weather data to build a Content-Based Filtering (CBF) recommendation system capable of providing more relevant and adaptive suggestions. The study successfully produced a recommendation system model with a testing accuracy of 90%.
Analisis Pengalaman Pengguna Fitur Toko Kesehatan Pada Aplikasi Halodoc Menggunakan User Experience Questionnaire Setiya Darma, Catur; Siskasari, Dini; Nur Iman , Khamid; Dwijayanti , Irmma
Jurnal Informatika Komputer, Bisnis dan Manajemen Vol 23 No 2 (2025): Mei 2025
Publisher : LPPM STMIK El Rahma Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61805/fahma.v23i2.180

Abstract

Perkembangan teknologi digital telah mendorong inovasi layanan kesehatan melalui aplikasi e-health, salah satunya Halodoc. Salah satu fitur penting aplikasi ini adalah Toko Kesehatan, yang memungkinkan pengguna membeli produk kesehatan secara daring. Penelitian ini bertujuan untuk mengevaluasi pengalaman pengguna (User Experience/UX) pada fitur Toko Kesehatan menggunakan User Experience Questionnaire (UEQ). Data dikumpulkan melalui survei daring dengan 103 partisipan aktif pengguna Halodoc. Evaluasi dilakukan terhadap enam dimensi UX, yaitu daya tarik, kejelasan, efisiensi, ketepatan, stimulasi, dan kebaruan. Hasil penelitian menunjukkan bahwa seluruh dimensi memperoleh skor rata-rata di atas 0,8, yang menandakan persepsi positif dari pengguna. Dimensi Ketepatan mencatat skor tertinggi (1,78) dan masuk kategori Excellent, sementara lima dimensi lainnya berada pada kategori Good. Temuan ini menegaskan bahwa fitur Toko Kesehatan Halodoc memiliki kualitas UX yang sangat baik dan kompetitif secara internasional. Penelitian ini memberikan implikasi praktis bagi pengembang Halodoc untuk mempertahankan keandalan sistem serta meningkatkan inovasi fitur, sekaligus memberikan kontribusi akademis dalam memperkaya kajian UX pada aplikasi e-health di Indonesia.
PENINGKATAN KEWASPADAAN TERHADAP KEJAHATAN SIBER PADA APLIKASI WHATSAPP DI KALURAHAN BANGUNJIWO Dedy Hariyadi; Alfirna Rizqi Lahitani; Irmma Dwijayanti; Kartikadyota Kusumaningtyas; Grita Supriyanto Dewi
Jurnal Pengabdian Masyarakat - Teknologi Digital Indonesia. Vol 4, No 2 (2025): Oktober 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat - Universitas Teknologi Digital Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26798/jpm.v4i2.1476

Abstract

Potensi serangan siber yang semakin kompleks memberikan dampak peningkatan kejahatan di ruang siber dengan \textit{initial access}  pada pengguna perangkat digital. Aplikasi whatsapp sebagai produk perkembangan teknologi memberikan ruang baru bagi penjahat siber untuk melakukan penipuan \textit{online} dan pencurian informasi. Untuk mengatasi masalah ini, sebuah inisiatif Pengabdian kepada Masyarakat dari Universitas Jenderal Achmad Yani Yogyakarta bersama Desa Mitra, Kalurahan Bangunjiwo, Kabupaten Bantul, Daerah Istimewa Yogyakarta memberikan pendampingan untuk peningkatan kesadaran tentang ancaman ruang siber dan melatih warga tentang langkah-langkah keamanan dasar, seperti \textit{Multi Factor Authentication} (MFA) dan \textit{Two-step Verification}. Inisiatif ini terdiri dari beberapa fase, termasuk koordinasi, observasi, sosialisasi, evaluasi, dan pelaporan, yang bertujuan untuk meningkatkan pemahaman masyarakat tentang praktik keamanan siber. Sebagai hasil dari program ini, para peserta menunjukkan peningkatan yang signifikan dalam pengetahuan mereka tentang ancaman serangan siber dan penerapan langkah-langkah keamanan. Upaya penting dalam pendidikan dan dukungan berkelanjutan untuk memperkuat ketahanan masyarakat dalam menghadapi kejahatan siber. Selain itu inisiatif yang berkelanjutan sangat penting untuk menjaga kesadaran dan melindungi warga di ruang siber. Inisiatif ini tidak hanya memberdayakan masyarakat dengan informasi penting tetapi juga menumbuhkan pendekatan proaktif terhadap keamanan siber dengan harapan kontribusi pada ruang siber yang lebih aman bagi masyarakat.
Topic Modeling of Indonesian News Articles on The Free Nutritious Meal Program: A Comparative Study of LDA, LSA, and NMF Irmma Dwijayanti; Muhammad Habibi
InComTech : Jurnal Telekomunikasi dan Komputer Vol. 16 No. 2 (2026)
Publisher : Department of Electrical Engineering

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

Abstract

The rapid expansion of digital journalism in Indonesia has produced a large volume of long-form news articles covering complex socio-political and economic issues. One of the most widely discussed initiatives is the Free Nutritious Meal Program (Makan Bergizi Gratis, MBG), which has been reported from perspectives of nutrition, education, public policy, and economic sustainability. Due to the scale of coverage, manual analysis is impractical, requiring automated methods to extract latent themes. This study applies and compares three classical topic modeling techniques: Latent Dirichlet Allocation (LDA), Latent Semantic Analysis (LSA), and Non-Negative Matrix Factorization (NMF). The corpus was preprocessed using tokenization, stop-word removal, stemming, and normalization, followed by experiments with different numbers of topics. Model performance was evaluated with topic coherence and qualitative interpretability. The findings show that LDA provides the highest coherence and generates semantically rich topics. NMF yields sharper topic boundaries but sometimes lacks interpretability, while LSA demonstrates computational efficiency with lower semantic depth. Thematic analysis identified five dominant themes: policy implementation, nutritional adequacy, funding challenges, public responses, and governance risks. Temporal analysis revealed that MBG discourse has been present since 2020, but increased sharply in 2024 during Prabowo Subianto’s presidential campaign and grew further in 2025 with nationwide implementation. These results confirm that MBG is not only a nutrition and welfare policy but also a politically salient initiative intersecting with electoral strategies, public health, and socio-economic development.
Analysis of Factors Influencing User Retention on the Community Feature of The Asian Parent Application Almayanti Susilia Ningrum; Mae Niken Pamikatsih; Rois Ali Fernanda; Irmma Dwijayanti
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.7980

Abstract

The community feature in parenting apps like The Asian Parent plays a crucial role in building digital social interactions among users, especially parents. Active community engagement is a crucial factor in maintaining user retention. This study aims to analyze the factors influencing user experience retention in the community feature within The Asian Parent app using the User Experience Questionnaire (UEQ) approach. The research method involved distributing questionnaires to active app users, covering six user experience dimensions: attractiveness, clarity, efficiency, accuracy, stimulation, and novelty. The collected data were analyzed descriptively to determine the tendency of user perceptions towards each dimension. The analysis results show that hedonic dimensions, especially stimulation and novelty, have the greatest influence on user retention, followed by pragmatic aspects such as efficiency and clarity. These findings suggest that emotional experience and cognitive satisfaction play a significant role in encouraging users to remain active in the app community. This research is expected to provide insights for app developers to design more engaging, adaptive, and sustainable community features to increase user loyalty.
Analysis Experience New Users of Flo App Based on Group Age with the User Experience Questionnaire (UEQ) Muhamad Fikry Maulana Ridwan; Devita Ayu Purwenti; Trenggar S D C Amsori; Irmma Dwijayanti
APPLIED SCIENCE AND TECHNOLOGY REASERCH JOURNAL Vol. 4 No. 2 (2025): Applied Science and Technology Research Journal
Publisher : Lembaga Penelitian dan Pengabdian Mayarakat (LPPM) Universitas PGRI Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31316/astro.v4i2.8013

Abstract

The advancement of digital technology has significantly driven innovation in health applications, offering users practical tools to monitor their physical and emotional well-being. Among these, Flo: Period & Pregnancy Tracker stands out as a popular application designed to help women track their reproductive cycles, ovulation, and associated hormonal symptoms. This study aims to evaluate the user experience of new users of the Flo application across two age groups: 12–25 years and 26–45 years, to understand their perceptions of comfort and ease of use, employing a quantitative approach with the User Experience Questionnaire (UEQ). Analysis results indicate that both age groups generally provided positive assessments of the application. The Stimulation and Efficiency aspects received the highest scores, while Novelty was the lowest-scoring aspect. Further analysis revealed that the 12– 25 year age group tended to prioritize hedonic qualities (such as Stimulation and Attractiveness), whereas the 26– 45 year age group valued pragmatic qualities (such as Efficiency and Perspicuity) more in their initial app usage experience. These findings underscore the importance of UI/UX design that adapts to the differing needs and expectations of users across age segments for overall experience improvement. It is important to note that the imbalance in the number of respondents between age groups is a limitation of this study, which may affect the validity of peer-to-peer comparisons and the generalizability of results due to constraints in time and primary respondent data availability.
Pelatihan dan Pendampingan Kelompok Budidaya Lele Mina Sejahtera Tayuban melalui Diversifikasi Produk dan Pemasaran Digital Ari Okta Viyani; Dwi Larasati; Irmma Dwijayanti
JURNAL ABDI MASYARAKAT SABURAI Vol 7, No 02 (2026): JURNAL ABDI MASYARAKAT SABURAI
Publisher : Universitas Sang Bumi Ruwa Jurai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24967/jams.v7i02.5709

Abstract

Kelompok Budidaya Ikan Mina Sejahtera merupakan kelompok budidaya ikan yang berfokus pada budidaya lele. Kelompok ini berada di wilayah Kalurahan Tayuban, Kapanewon Panjatan, Kabupaten Kulon Progo, dengan kapasitas produksi rata-rata 2-2,2 ton per siklus panen 2-3 bulan. Kelompok ini beranggotakan 19 orang termasuk ketua, sekretaris, dan bendahara. Kelompok ini masih memiliki beberapa masalah, khususnya dalam aspek produksi dan pemasaran. Pada aspek produksi, kelompok ini masih menjual lele dalam bentuk lele mentah sehingga tidak memiliki nilai tambah produk dan margin keuntungan yang dihasilkan juga terbatas. Pada aspek pemasaran, kelompok Mina Sejahtera belum mampu memasarkan produknya secara digital dan masih bergantung pada pengepul. Program pengabdian masyarakat ini dilaksanakan melalui pelatihan dan pendampingan pada aspek produksi berupa diversifikasi produk olahan lele dalam bentuk abon lele, tepung ikan lele, dan nugget lele, serta pendampingan pemasaran digital menggunakan kecerdasan buatan (AI) Rytr yang lebih mudah dan cepat. Hasil kegiatan menunjukkan bahwa mitra berhasil memproduksi tiga jenis produk olahan lele dengan volume 10 kg per siklus produksi, menyusun dokumen SOP produksi, memiliki akun bisnis pemasaran digital aktif pada beberapa platform media sosial, serta mulai menjangkau konsumen secara digital dan mulai melakukan penjualan daring. Program ini berhasil menghasilkan produk olahan lele yang memberikan nilai tambah untuk produk perikanan skala rumah tangga sekaligus memperkuat kapasitas kelompok mitra dalam memanfaatkan teknologi digital untuk mendukung pemasaran secara digital.
Co-Authors Aksan, Azzikra Ramadhanti Alfirna Rizqi Lahitani Almayanti Susilia Ningrum Anggraeni, Deviana Dyah Anggraini, Deviana Dyah Aprilia Damayanti, Mita Ari Okta Viyani Dedy Hariyadi Devita Ayu Purwenti Dini Siskasari Dwi Larasati Grita Supriyanto Dewi Hidayatullah, Syarief Kharisma Kharisma, Kharisma Kusuma, Rekanita Yunia Restu Kusumaningtyas, Kartikadyota Lahitani, Alfirna Rizqi Mae Niken Pamikatsih Maulana Ridwan, Muhamad Fikry Mita Aprilia Damayanti Muhamad Fikry Maulana Ridwan Muhammad Habibi Nur Iman , Khamid Panca, Agung Satria Rizqi Lahitani, Alfirna Rois Ali Fernanda Rois Ali Fernandi Setiya Darma, Catur Siskasari, Dini Sobri, Mohammad Sujono Riyadi Sumiyarini, Retno Syarief Hidayatullah Trenggar S D C Amsori Ulfi Saidata Aesyi