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All Journal Mathvision : Jurnal Matematika Jubindo: Jurnal Ilmu Pendidikan Bahasa dan Sastra Indonesia Journal of Research in Mathematics Trends and Technology Biocaster : Jurnal Kajian Biologi IC Tech: Majalah Ilmiah Parameter: Jurnal Matematika, Statistika dan Terapannya
Miko Purnomo
Universitas Timor, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Immunology & microbiology Languange, Linguistic, Communication & Media Mathematics

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STUDY ON THE EFFECTIVENESS OF THE USE OF ARTIFICIAL INTELLIGENCE (AI) ON STUDENT LEARNING OUTCOMES: KAJIAN EFEKTIFITAS PENGGUNAAN ARTIFICIAL INTELLIGENCE (AI) TERHADAP HASIL BELAJAR PESERTA DIDIK Simarmata, Justin Eduardo; Aprianti, Iis; Atencia, Bryant Bennet D.; Nahak, Kristofel Bere; Purnomo, Miko
Jubindo: Jurnal Ilmu Pendidikan Bahasa dan Sastra Indonesia Vol 9 No 3 (2024): Jubindo: Jurnal Pendidikan Bahasa dan Sastra Indonesia
Publisher : Program Studi Pendidikan Bahasa dan Sastra Indonesia, Fakultas Ilmu Pendidikan, Universitas Timor

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

Abstract

The development of information technology, particularly Artificial Intelligence (AI), has opened new opportunities in the field of education, including the teaching of Computer English courses at the University of Timor. This study aims to examine the effectiveness of using AI, particularly ChatGPT, as a learning assistant in improving student learning outcomes. The research method used is a quasi-experimental design, involving 30 students. Data were collected through pretest and posttest assessments, and subsequently analyzed using descriptive and inferential statistics, including the t-test. The results indicate that the implementation of AI has a significant impact on improving student learning outcomes in three evaluation aspects: writing about types of computers, making comparisons, and constructing comparative sentences. The t-test analysis shows that all differences between pretest and posttest scores are significant (p < 0.05). Furthermore, the use of AI also enhances the consistency of student scores, as reflected in the improvement of the minimum, average, and maximum scores in each evaluation section. In conclusion, the implementation of AI, such as ChatGPT, has been proven effective in supporting a more personalized, interactive, and adaptive learning process. This study recommends further development of AI usage in education to create innovative learning that is relevant to the needs of the digital era.
Implementation of K-Means Clustering to Human Development Indicators in East Nusa Tenggara Simarmata, Justin Eduardo; Chrisinta, Debora; Purnomo, Miko
Journal of Research in Mathematics Trends and Technology Vol. 6 No. 2 (2024): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v6i2.17066

Abstract

K-Means has been adopted to group various cases related to the quality of humanresources and economic growth. This study aims to apply K-Means to thecharacteristics based on selected Human Development Index (HDI) indicators,namely the average length of schooling, the expectation of length of schooling andlife expectancy in Province of East Nusa Tenggara. The optimal cluster obtainedis 6 clusters. The cluster with the highest average value of all variables is in cluster1 which is Kupang City area. Meanwhile, condition cluster 6 provides the smallestlife expectancy value compared to other clusters. The smallest average variable ofschool length is in cluster 2. The regions that provide the smallest numberexpectation of length of schooling is in cluster 5.
Implementation of RShiny in Developing Interactive Learning Media for Analysis of Variance (ANOVA) Simarmata, Justin Eduardo; Chrisinta, Debora; Purnomo, Miko
Journal of Research in Mathematics Trends and Technology Vol. 7 No. 1 (2025): Journal of Research in Mathematics Trends and Technology (JoRMTT)
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/jormtt.v7i1.20167

Abstract

Effective learning is significantly influenced by the methods and media used in the teaching and learning process. However, many students still struggle to understand mathematical concepts due to the limited availability of interactive learning media. Therefore, this study aims to develop and evaluate the effectiveness of a technology-based interactive learning application designed to enhance students' understanding. The development of this application follows several stages, including needs analysis, design, implementation, testing, and evaluation. The application offers various features, such as interactive materials, practice exercises, and visual simulations, to facilitate better comprehension of concepts. The data used in this study consists of pretest and posttest results from 30 students who were given a series of basic questions, including calculating the mean, standard deviation, and performing simple statistical tests. Analysis using the Paired t-Test indicates a significant increase in posttest scores compared to pretest scores (p-value = 3.522e-08). Data visualization in the form of boxplots and line charts also demonstrates a trend of improved student performance after using the application. Thus, this study confirms that the developed interactive application is effective in enhancing student learning outcomes.
OPTIMASI JARAK TERPENDEK UNTUK MENCAPAI WISATA SUPER PRIORITAS INDONESIA DENGAN MENGGUNAKAN PENDEKATAN TRAVELING SALESMAN PROBLEM Purnomo, Miko; Simarmata, Justin Eduardo; Chrisinta, Debora
MathVisioN Vol 7 No 1 (2025): Maret 2025
Publisher : Prodi Matematika FMIPA Unirow Tuban

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55719/mv.v7i1.1478

Abstract

Sektor pariwisata sekarang ini menjadi salah satu hal yang sedang ditingkatkan oleh pemerintah Indonesia. Berbagai upaya telah dilakukan oleh pemerintah untuk meningkatkan persentasi pada sektor tersebut. Salah satu upaya pemerintah dalam meningkatkannya adalah dengan menjadikan beberapa destinasi di Indonesia menjadi Bali baru yang diharapkan bisa memberikan dampak pada pertumbuhan jumlah wisatawan. Untuk itu pemerintah menjadikan lima daerah di Indonesia sebagai wisata super prioritas yang diharapakan mampu meningkatkan sektor pariwisata di Indonesia. Kelima daerah tersebut adalah Danau Toba, Borobudur, Mandalika, Labuan Bajo dan Likupang. Dengan wilayah Indonesia yang sangat luas, tentu optimisasi jarak akan menjadi pertimbangan bagi para wisatawan. Selain jarak yang pendek, tentu akan berimbas pada waktu dan biaya yang akan dihabiskan untuk mencapai kelima wisata super prioritas ini. Pendekatan Matematis dengan Traveling Salesman Problem diharapkan mampu memecahkan solusi untuk mendapatkan rute optimal dalam penelitian ini. Dengan menggunakan aplikasi Solver yang terdapat pada fitur add-in pada Microsoft Excel dan Phyton telah mendapatkan rute optimal. Dengan titik keberangkatan awal adalah Jakarta sebagai provisi yang terletaknya Bandara Internasional Soekarno Hatta. Semulanya jarak total yang ditempuh adalah 11.848 km sampai kembali ke Jakarta, menjadi 10.823 km dengan rutenya adalah Jakarta – Danau Toba- Borobudur – Mandalika -Labuan Bajo – Likupang -Jakarta. Dengan jarak terpendek yang didapatkan, maka rute ini bisa menjadi pilihan untuk mencapai seluruh wisata super prioritas secara optimal.
IDENTIFICATION OF DOMINANT FACTORS IN STUNTING CASE NARRATIVES USING PCA AND SVD APPROACHES Debora Chrisinta; Justin Eduardo Simarmata; Milagros R. Baldemor; Miko Purnomo
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 4 No 1 (2025): Parameter: Jurnal Matematika, Statistika dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/parameterv4i1pp11-28

Abstract

Stunting remains a serious public health concern in Indonesia, exacerbated by the limited public understanding of its causes and prevention strategies. This study analyzes public perceptions of stunting based on reviews collected through web scraping from the 2023 Indonesian Health Survey (SKI). Text preprocessing techniques, Term Frequency-Inverse Document Frequency (TF-IDF) analysis, and dimensionality reduction using Principal Component Analysis (PCA) and Singular Value Decomposition (SVD) were applied to a dataset comprising 21 reviews. The results indicate that PCA outperforms SVD in simplifying the relationships among key terms, as evidenced by a lower reconstruction error (0.003861 compared to 0.004232). The dominant factors influencing public perception include education, sanitation, and socio-economic conditions. These findings highlight the critical role of data-driven and visual-based educational strategies in enhancing public awareness and accelerating stunting prevention efforts.
IMPLEMENTASI ALGORITMA CLUSTERING UNTUK PENGELOMPOKAN MAHASISWA BERDASARKAN RESPON TERHADAP METODE PEMBELAJARAN BAHASA INGGRIS KOMPUTER Simarmata, Justin Eduardo; Aprianti, Iis; Chrisinta , Debora; Purnomo, Miko
IC Tech: Majalah Ilmiah Vol 20 No 1 (2025): IC Tech: Majalah Ilmiah Volume XX No. 1 April 2025
Publisher : P3M Institut Widya Pratama

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47775/ictech.v20i1.332

Abstract

Permasalahan yang dihadapi dalam proses pembelajaran Bahasa Inggris adalah rendahnya minat dan motivasi belajar mahasiswa yang dipengaruhi oleh persepsi mahasiswa terhadap metode pembelajaran yang digunakan, khususnya media video. Perbedaan persepsi ini dapat menyebabkan ketidakefektifan dalam penyampaian materi serta pencapaian hasil belajar yang tidak merata. Penelitian ini bertujuan untuk mengelompokkan mahasiswa berdasarkan respon mahasiswa terhadap media video dalam pembelajaran Bahasa Inggris, sehingga dapat diketahui karakteristik masing-masing kelompok dan strategi pembelajaran yang sesuai. Metode yang digunakan adalah analisis klaster dengan pendekatan Hierarchical Agglomerative Clustering menggunakan metode Ward. Data diperoleh dari kuesioner yang mencakup enam variabel, kemudian dilakukan pra-pemrosesan meliputi pembersihan data dan transformasi data kategorik menjadi numerik. Hasil analisis menunjukkan terbentuknya tiga klaster mahasiswa dengan distribusi yang relatif merata, di mana setiap klaster memiliki karakteristik persepsi dan motivasi belajar yang berbeda. Klaster pertama didominasi oleh sikap netral, klaster kedua menunjukkan respon positif terhadap video pembelajaran, dan klaster ketiga memperlihatkan preferensi terhadap video dengan konten percakapan. Hasil penelitian menunjukkan bahwa pengajar dapat menyesuaikan strategi dan konten pembelajaran dengan karakteristik masing-masing kelompok untuk meningkatkan efektivitas dan keterlibatan mahasiswa.
Analisis Literasi Numerasi Mahasiswa Pendidikan Biologi Berdasarkan Asesmen Kompetensi Minimum Ramadhan, Fitra; Purnomo, Miko; Ruron, Antonius Tuan Tana; Tampubolon, Jonris
Biocaster : Jurnal Kajian Biologi Vol. 5 No. 4 (2025): October (In Progress)
Publisher : Lembaga Pendidikan, Penelitian, dan Pengabdian Kamandanu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/biocaster.v5i4.680

Abstract

The development of the Industrial Revolution 5.0 requires students, particularly prospective biology teachers, to acquire 21st-century skills, including numeracy literacy, which serves as the foundation for critical thinking, analytical reasoning, and problem-solving. This study aims to analyze the numeracy literacy profile of Biology Education students based on the Minimum Competency Assessment (AKM). The research employed a quantitative descriptive method involving 88 first- and third-semester students of the Biology Education Study Program at the University of Timor, selected using purposive sampling. The research instrument consisted of a numeracy test that referred to the content, context, cognitive processes, and numeracy literacy levels of the AKM. The findings reveal that students’ numeracy literacy is still categorized as Requiring Special Intervention. This condition is influenced by memorization-oriented learning, low learning motivation, and limited integration of numeracy in biology instruction. These results highlight the importance of implementing innovative and contextual learning strategies integrated with numeracy literacy so that prospective biology teachers can not only meet the minimum AKM standards but also develop pedagogical competencies relevant to the challenges of the 21st century.
Co-Authors Antonius Tuan Tana Ruron Atencia, Bryant Bennet D. Chrisinta, Debora Fitra Ramadhan Iis Aprianti Jonris Tampubolon Kristofel Bere Nahak Milagros R. Baldemor Simarmata, Justin Eduardo