IKADO E-Journal (Institut Informatika Indonesia)
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Understanding Student Sentiment Towards Informatics Engineering: Strategies to Attract High School and Vocational Graduates
Full text linkHigher education plays a crucial role in shaping the future of the younger generation, and in the ever-evolving digital era, technology has become an integral part of the education process. Amid the ongoing digital transformation, students’ interest in the Informatics Engineering major is increasing; however, challenges remain in attracting high school (SMA) and vocational school (SMK) students to pursue this field. This research aims to provide a deeper understanding of students\u27 sentiments toward the Informatics Engineering major and to formulate an effective promotional strategy to encourage high school and vocational school graduates to choose this path. To achieve these objectives, the research employs the TextBlob classification method, a natural language processing tool that assigns sentiment polarity scores (positive, neutral, or negative) to textual data. Sentiment analysis was conducted on responses collected through questionnaires, involving number of high school and vocational school students. The results of the sentiment analysis for high school (SMA) students reveal that out of 209 data points, 93 tweets (44.5%) were categorized as positive sentiment, citing career prospects and academic opportunities as key motivators. In contrast, For vocational school (SMK) students, among 135 data points analyzed, 50 tweets (37.0%) were categorized as positive sentiment, prioritizing practical skills and industry readiness. Based on the findings, the study formulates targeted promotional strategies. For SMA students, the focus should be on showcasing career prospects, technical skill development, and success stories in the tech industry. For SMK students, the promotion should emphasize practical, hands-on skills, industry partnerships, and job-readiness. This research provides recommendations for tailored promotional approaches to enhance students’ awareness and interest in Informatics Engineering, thereby encouraging greater enrollment in the field
Fine-Hybrid: Integration of BM25 And Finetuned SBERT to Enhance Search Relevance
No full textLegal information retrieval, particularly for tax law documents, faces significant challenges due to specialized terminology, complex hierarchical structures, and formal language patterns that existing search approaches inadequately address. Current methods either rely on lexical matching or use general semantic models, creating a critical gap in effectively retrieving relevant tax law information. This research develops a novel hybrid search system to enhance search result relevance for the General Provisions and Tax Procedures (KUP) dataset by integrating a lexical-based search method (BM25) with semantic search using Sentence-BERT (SBERT) that has been fine-tuned using a taxation corpus. Our methodology encompasses several innovative components: development of synthetic data using a two-stage LLM prompting approach for SBERT fine-tuning, implementation of a comprehensive query normalization system with taxation-specific terminology mapping, and integration of lexical and semantic results through Reciprocal Rank Fusion (RRF). We evaluate system performance with inputs from tax domain experts, demonstrating that the Fine-hybrid model consistently outperforms individual search methods, achieving a Precision@N of 66.021% and Average Recall of 76.51%. Our approach addresses the specific challenges of tax document retrieval while providing a generalizable framework applicable to other specialized domains with similar characteristics. This research contributes both theoretical advancements in hybrid search methodologies for legal documents and practical solutions for improving tax information accessibility, with implications for enhancing administrative efficiency and taxpayer compliance
Strategi Pengembangan Teknik dan Repertoar Gamelan Baleganjur untuk Meningkatkan Partisipasi Budaya Umat Hindu di Keerom, Papua
No full textKegiatan pengabdian ini bertujuan mengembangkan teknik bermain gamelan Baleganjur bagi komunitas Hindu di Kabupaten Keerom, Papua. Meski telah tersedia gamelan Baleganjur hasil swadaya dan bantuan pemerintah, pengetahuan teknik dan repertoar musik yang relevan masih kurang untuk kegiatan keagamaan setempat. Komunitas Hindu yang tergabung dalam Sanggar Seni Saraswati berkeinginan kuat mendukung budaya dan keagamaan melalui Baleganjur. Metode pelatihan demonstratif langsung digunakan untuk meningkatkan pengetahuan dan keterampilan bermain gamelan Baleganjur di kalangan anggota komunitas. Penggunaan teknologi modern, seperti perekaman audiovisual dan pembuatan materi tutorial, diharapkan meningkatkan aksesibilitas dan fleksibilitas pembelajaran. Kegiatan ini difokuskan pada dua aspek utama: 1) Pengembangan teknik bermain Baleganjur pada tiap instrumen; dan 2) Pengayaan repertoar gending Baleganjur, seperti Tabuh Gilak dan Bebarongan. Luaran utama dari program ini adalah video dokumentasi pelatihan, mencakup sesi teori, praktik, dan penampilan akhir peserta. Hasil kegiatan ini menunjukkan kemajuan positif. Para penabuh Sanggar Seni Saraswati telah berhasil meningkatkan teknik bermain gamelan Baleganjur, khususnya telah menguasai teknik pukulan instrumen reyong, pola gegilakan dan jagul dalam instrumen kendang dan teknik kakilitan dalam instrumen ceng-ceng. Keberhasilan selanjutnya adalah penambahan materi gamelan Gilak untuk musik ilustrasi upacara Caru, serta gamelan Babarongan yang digunakan untuk mengiringi upacara Melasti. Peningkatan ini membawa dampak positif dalam memupuk rasa kebersamaan antarkomunitas umat Hindu setempat baik dalam konteks budaya maupun keagamaan.
 
Hybrid Machine Learning Model for Risk Prediction and Action Recommendation Based on Artificial Mental Systems
No full textMental health problems are increasingly prevalent among the younger generation, particularly those active on social media, yet early detection efforts often remain limited. Previous studies have explored text-based approaches for identifying mental health issues, but many are constrained by low accuracy in differentiating multiple psychological states or lack integration into accessible tools for end-users. This study addresses these gaps by proposing a hybrid machine learning model for early detection of mental health conditions through social media text analysis. Five algorithms were evaluated, and a soft voting ensemble combining Logistic Regression and Support Vector Machine (SVM) was developed to improve classification across five mental states (Anxiety, Depression, Stress, Emotional Exhaustion, and Healthy) and three risk levels (Low, Medium, High). To ensure practical utility, the model was deployed in an Android-based application, SmartRisk, which allows users to input free text and receive automated assessments. The findings show that the proposed hybrid approach significantly improves detection performance, particularly in identifying depression and high-risk cases, while maintaining high usability in real-world application. The novelty of this study lies in combining hybrid ensemble learning with mobile deployment for practical, text-based early detection of mental health, offering both methodological advancement and societal impact
The Transformative Role of Artificial Intelligence in Modern Education
No full textThe Fourth Industrial Revolution has led to significant advances in digital devices and social media, contributing to the emergence of artificial intelligence (AI) as a key tool for improving the educational process. Computing and information technologies have enabled the use of computers in education, particularly in computer-assisted instruction and improving classroom interaction. Artificial intelligence in education (AIEd) aims to support teaching strategies, enhance student learning, and improve educational outcomes through performance monitoring, adaptive learning, providing educational resource recommendations, and identifying educational gaps. The study focuses on exploring the role of AI applications in improving the quality of learning, assuming that these applications contribute to developing the educational process, addressing traditional challenges, and improving the performance of teachers and students. The study adopted a descriptive-analytical approach and collected data through a survey of academics and teachers in Iraq during the 2024-2025 academic year. The study recommends holding training workshops, providing necessary resources, promoting the effective use of AI applications, and developing future development plans, while proposing additional research on innovation and interactive lesson design
Performance Comparison of 10 Machine Learning Algorithms in Sentiment Classification on Platform X Regarding the Government’s Priority Program: Makanan Bergizi Gratis (MBG)
No full textThis study evaluates public sentiment on Platform X regarding the Government’s Priority Free Nutritious Food Program. A total of 2031 user comments were analyzed using 10 machine learning algorithms: Naive Bayes, Gradient Boosting, AdaBoost, Random Forest, Extra Trees, Logistic Regression, Linear SVM, SGD Classifier, Ridge Classifier, and Bagging. The dataset underwent preprocessing including lowercasing, stopword removal, stemming, and tokenization, followed by TF-IDF vectorization with 5000 features. Models were evaluated using accuracy, precision, recall, weighted F1-score, and 5-fold cross-validation. Bagging achieved the highest accuracy (81%) and weighted F1-score (81%), followed by Gradient Boosting (81%) and Random Forest (77%). Feature analysis revealed negative sentiment indicators such as ‘racun’, ‘stop’, ‘korupsi’, and positive indicators like ‘sehat’, ‘enak’, ‘bergizi’. These findings provide actionable insights for policy communication and program improvement
Website Design Innovation Strategy for Brand XYZ Using the Design Thinking Approach
No full textThe rapid growth of e-commerce in Indonesia has transformed consumer behavior and increased expectations for seamless digital shopping experiences. Despite Brand XYZ’s popularity on social media and marketplaces, its official website performed poorly due to unintuitive navigation, outdated visuals, and inefficient checkout processes. This study applies the Design Thinking methodology, combined with the American Customer Satisfaction Index (ACSI), to redesign the Brand XYZ website. Qualitative data were gathered through empathy mapping, user journey analysis, and value proposition canvases, while quantitative data were measured using pre-test and post-test ACSI surveys. The SCAMPER method was used during the ideation stage to generate solution concepts, which were translated into prototypes using Figma and tested for usability. Results indicate a substantial improvement in satisfaction, with ACSI scores increasing from 44.42 (pre-test) to 80.53 (post-test). Key gains include simplified navigation, mobile responsiveness, consistent brand identity, and a streamlined three-step checkout. The findings confirm that integrating Design Thinking with ACSI provides a comprehensive framework for addressing usability and brand perception challenges in fashion e-commerce
Adaptasi Fasilitas Mall Terhadap Meningkatnya Pengunjung Dengan Hewan Peliharaan di Living World Alam Sutera
No full textBelakangan ini semakin banyak masyarakat membawa hewan peliharaan ke ruang publik seperti mall. Hal ini mendorong kebutuhan adaptasi fasilitas ruang agar lebih inklusif. Living World Alam Sutera menjadi salah satu mall yang memperbolehkan pengunjung membawa hewan, namun fasilitas pendukungnya masih terbatas dan bersifat reaktif. Walupun mall ini dipromosikan sebagai pet-friendly melalui portal digital, pada penerapannya belum sesuai. Penelitian ini bertujuan mengidentifikasi ekspektasi pengguna terhadap fasilitas Living World dan menemukan bentuk adaptasi yang diperlukan dari fasilitas ruang dan kebijakan. Penelitian menggunakan metode kualitatif melalui observasi lapangan, analisis dokumen digital dan wawancara mendalam kepada delapan orang informan yang terbagi dalam empat kelompok yaitu: pengunjung pemilik dan non-pemilik hewan, karyawan tenant, serta staf information center sebagai pihak mall. Temuan menunjukkan perlunya pembagian zona antara area pet dan non-pet, penyediaan fasilitas khusus seperti pet playpark dan pet daycare, serta kebijakan dan sosialisasi aturan yang lebih konsisten di seluruh area mall. Penelitian ini memberikan kontribusi jangka panjang dengan memberi arahan agar ruang publik komersial bisa beradaptasi dan lebih inklusif terhadap perubahan perilaku masyarakat urban
Adopt E-Learning for High School or Vocational School Students by Using Extended Unified Theory of Acceptance and Use of Technology
No full textThis study uses the fundamental Unified Technology Acceptance and Use of Technology (UTAUT) model, which is based on earlier research, to identify potential characteristics that influence high school or vocational school students\u27 success in embracing e-learning. The theoretical model is predicated on earlier studies that integrate elements from the UTAUT acceptance model with elements deemed pertinent to e-learning (computer anxiety and perceived enjoyment). 593 people from the Indonesian city of Gresik made up the sample. Theoretical models are developed and analyzed using structural equation modeling. Based on the examination of the six hypotheses put out, six of them can be accepted. Behavioral intention is positively and significantly impacted by performance expectancy, effort expectancy, social influence, facilitating conditions, and perceived enjoyment, while behavioral intention is negatively and significantly impacted by computer anxiety. Although there are numerous research models on the uptake of e-learning, internet, and computer use are already widely prevalent in developing nations like Indonesia. However, e-learning\u27s acceptability in many educational sectors is still in its infancy, particularly among students in high school or vocational schools. Thus, this study offers a thorough analysis of the variables influencing Indonesian high school or vocational school students\u27 acceptance of e-learnin
Tinjauan Visualisasi Pesan Kampanye dan Penyebaran Media Digital Gojek Versi "We Got You"
No full textPenelitian ini bertujuan untuk mengkaji visualisasi pesan dalam kampanye Gojek versi "We Got You" edisi “Ganti tujuan demi si Ayank? We got You” serta menelaah strategi penyebaran pesan melalui media digital. Gojek dikenal memiliki pendekatan kampanye yang kuat dan sering viral, dengan mengacu pada tiga pilar utamanya: kecepatan, inovasi, dan dampak sosial. Melalui kampanye tersebut, Gojek tidak hanya mempromosikan layanan, tetapi juga membangun koneksi emosional dengan pengguna. Penelitian ini menggunakan metode kualitatif untuk menghasilkan data deskriptif yang menggambarkan bagaimana konten visual dalam kampanye mampu merepresentasikan nilai-nilai perusahaan dan kebutuhan sosial masyarakat. Penekanan kajian terletak pada aspek desain pesan kampanye dalam konteks ekonomi kreatif, khususnya desain visual, yang menjadi salah satu fokus dalam Rencana Induk Penelitian Universitas. Studi ini diharapkan memberikan kontribusi dalam memahami bagaimana desain kampanye digital dapat mempengaruhi perilaku konsumen dan memperkuat citra merek dalam memenuhi kebutuhan mobilitas melalui aplikasi Gojek