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All Journal Technologia: Jurnal Ilmiah INTI Nusa Mandiri Jurnal Pengabdian Inovasi Masyarakat Indonesia Journal Medical Informatics Technology
Muji Ernawati
Universitas Nusa Mandiri
Agriculture, Biological Sciences & Forestry Chemistry Computer Science & IT Dentistry Education Engineering Medicine & Pharmacology Public Health Social Sciences Other

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IMPLEMENTASI KONSEP FINITE STATE AUTOMATA PADA DESAIN GAME EDUKASI JENIS HEWAN Muji Ernawati; Windu Gata; Eni Heni Hermaliani; Laela Kurniawati; Sri Rahayu
Technologia : Jurnal Ilmiah Vol 13, No 1 (2022): Technologia (Januari)
Publisher : Universitas Islam Kalimantan Muhammad Arsyad Al Banjari

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (341.828 KB) | DOI: 10.31602/tji.v13i1.6268

Abstract

Golden periode merupakan periode keemasan perkembangan otak anak usia dini antara 3-6 tahun dimana pertumbuhan dan perkembangan baik secara fisik ataupun mental yang tercepat. Pemahaman seorang anak di usia itu pada dasarnya terbatas pada pemahaman nama-nama hewan yang tidak tahu dari spesies mana mereka berasal. Penelitian ini bertujuan untuk mengembangkan desain aplikasi permaian edukasi jenis hewan dengan nama“Animals Kind” membantu anak usia dini memahami berbagai jenis hewan dengan sistem belajar yang lebih menarik dengan menerapkan konsep Finite State Automata (FSA). Finite State Automata merupakan mesin automata yang digunakan untuk menjelaskan alur sebuah program. Jenis FSA yang digunakan adalah Deterministic Finite Automata. Tahapan penelitian ini terdiri dari Perancangan FSA, Pengujian FSA dan Desain Aplikasi Permainan Edukasi “Animals Kids”. Tahap perancangan dan pengujian FSA dilakukan dengan menggunakan aplikasi Jflab, sedangkan untuk tahap desain aplikasi menggunakan aplikasi Figma. Hasil dari penelitian ini merupakan rancangan desain antarmuka yang dapat digunakan sebagai acuan dalam pengembangan di penelitian selanjutnya.
EVALUASI PENERIMAAN MAHASISWA TERHADAP APLIKASI AKADEMIK MOBILE: PENDEKATAN TECHNOLOGY ACCEPTANCE MODEL (TAM) Muji Ernawati; Eni Heni Hermaliani; Evita Fitri; Siti Nurhasanah Nugraha
INTI Nusa Mandiri Vol. 20 No. 1 (2025): INTI Periode Agustus 2025
Publisher : Lembaga Penelitian dan Pengabdian Pada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/inti.v20i1.6898

Abstract

Mobile applications are widely used in educational environments to accelerate various academic and administrative tasks. Their presence has enhanced service effectiveness, expedited decision-making, and improved the digital campus ecosystem. This study was conducted to evaluate the acceptance level of MyNusa Student, a mobile-based academic application for students. The Technology Acceptance Model (TAM) framework was employed in this research to assess students’ acceptance of the MyNusa Student application. A total of 238 respondents, all registered students using the application, provided data for this study. Data analysis was carried out using Structural Equation Modeling (SEM) with a Partial Least Squares (PLS) approach to examine the relationships among variables: Perceived Ease of Use, Perceived Usefulness, Attitude Toward Using, Behavioral Intention to Use, and Actual Usage. The results indicated that all relationships among variables were statistically significant. The most influential relationship was observed between Perceived Ease of Use and Perceived Usefulness, followed by the relationship between Attitude Toward Using and Behavioral Intention to Use, and subsequently, Actual Usage. The findings suggest that the primary elements influencing students’ positive perceptions of the application—which in turn affect their intention and actual usage patterns—are their evaluations of its usefulness and utility. The practical implications highlight the need for continuous improvement in usability and utility aspects, with a focus on enhancing ease of use, optimizing core features such as real-time data updates, and improving technical as well as system security aspects.
Digitalisasi Layanan dan Manajemen Informasi Melalui Kegiatan Pengabdian di Jakarta Islamic Centre Siti Nurhasanah Nugraha; Evita Fitri; Muji Ernawati
Jurnal Pengabdian Inovasi Masyarakat Indonesia Vol. 5 No. 2 (2026): Edisi Agustus
Publisher : Program Studi Pendidikan Kimia FKIP Universitas Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jpimi.v5i2.9372

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kesiapan pengurus dan staf Jakarta Islamic Centre (JIC) dalam menerapkan digitalisasi layanan dan manajemen informasi guna mendukung tata kelola kelembagaan yang lebih efektif. Permasalahan utama yang dihadapi mitra adalah pengelolaan data dan layanan administrasi yang masih dilakukan secara manual serta keterbatasan literasi digital sumber daya manusia. Metode pelaksanaan menggunakan pendekatan deskriptif partisipatif melalui beberapa tahapan, meliputi analisis situasi, identifikasi permasalahan, perancangan solusi, serta pelaksanaan pelatihan dan praktik langsung. Materi kegiatan mencakup pemanfaatan aplikasi digital sederhana untuk pengelolaan data, administrasi kegiatan, dan pengarsipan dokumen. Evaluasi kegiatan dilakukan melalui observasi dan kuesioner kepada peserta. Hasil kegiatan menunjukkan bahwa seluruh peserta memberikan respons positif terhadap pelaksanaan kegiatan serta menunjukkan pemahaman dan kesiapan dalam memanfaatkan teknologi digital untuk mendukung tugas administrasi dan pengelolaan informasi. Temuan ini mengindikasikan bahwa pendekatan pelatihan berbasis praktik langsung efektif sebagai solusi awal dalam mendukung transformasi digital lembaga keagamaan. Secara keseluruhan, kegiatan pengabdian ini berkontribusi pada penguatan tata kelola kelembagaan JIC agar lebih adaptif terhadap perkembangan teknologi informasi.
Explainable Machine Learning for Current Stunting Status Classification in Toddlers: A Comparative Evaluation of SMOTEENN and SHAP-Based Interpretation Siti Nurhasanah Nugraha; Muji Ernawati; Evita Fitri; Tri Wahyu Lestari
Journal Medical Informatics Technology Volume 4 No. 3, September 2026
Publisher : SAFE-Network

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37034/medinftech.v4i3.170

Abstract

Stunting remains a major nutritional problem that requires accurate and reliable assessment of children’s current growth status. Machine learning can support stunting classification; however, class imbalance and limited model interpretability remain important challenges. This study aims to evaluate the effect of SMOTEENN across classification algorithms with different learning characteristics and interpret the best-performing model using SHAP. Two secondary datasets were integrated, resulting in 41,176 records, of which 41,173 were retained after data cleaning and numerical conversion. Logistic Regression, Decision Tree, Random Forest, and XGBoost were evaluated using original and SMOTEENN-balanced training data. Hyperparameter optimization was performed using RandomizedSearchCV with stratified five-fold cross-validation and ROC-AUC as the optimization metric. The optimized configurations were fixed and applied to both experimental scenarios. Model performance was evaluated using Accuracy, Precision, Recall, F1-Score, and ROC-AUC on an independent test set. Random Forest trained on the original data achieved the best overall performance, with an Accuracy of 0.9600, Precision of 0.9584, F1-Score of 0.9505, and ROC-AUC of 0.9927. SMOTEENN consistently improved Recall across all models but generally reduced the overall performance of tree-based models. The largest improvement occurred in Logistic Regression, with Recall increasing from 0.7058 to 0.8657. SHAP analysis identified Height and Age (Month) as the most influential features. These findings show that the effect of SMOTEENN depends on dataset and algorithm characteristics, while SHAP provides transparent interpretation of current stunting-status classification within the analyzed datasets.
Co-Authors Eni Heni Hermaliani Eni Heni Hermaliani Evita Fitri Laela Kurniawati Siti Nurhasanah Nugraha Sri Rahayu Tri Wahyu Lestari Windu Gata