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All Journal Journal of Innovation Information Technology and Application (JINITA) Range : Jurnal Pendidikan Matematika Media Pendidikan Matematika Babakti: Journal of Community Engangement Pengabdian: Jurnal Abdimas
Miko Purnomo
Universitas Timor
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Environmental Science Mathematics Public Health Social Sciences Other

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Enhancing The Accuracy of Academic Document Plagiarism Detection Through Big Data and Similarity Measure Approaches Debora Chrisinta; Miko Purnomo; Iis Aprianti; Justin Eduardo Simarmata
Journal of Innovation Information Technology and Application (JINITA) Vol 8 No 1 (2026): JINITA, June 2026
Publisher : Politeknik Negeri Cilacap

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35970/jinita.v8i1.2946

Abstract

This study develops a Big Data-based plagiarism detection system using Similarity Measures to enhance objectivity and efficiency in evaluating student assignments. Employing a Research and Development (R&D) approach, the system processes .pdf and .docx documents through text preprocessing and computes similarities using Jaccard and Cosine Similarity. Testing on assignments from the Information Technology Program at the University of Timor showed that Cosine Similarity is more sensitive to sentence structure, while Jaccard better detects identical phrases. Around 40% of documents exceeded a 40% similarity threshold, indicating potential plagiarism. The system offers fast, flexible detection via a web interface, though it remains limited in identifying semantic or paraphrased content. Future improvements will incorporate NLP techniques to enhance accuracy and academic integrity
Pendampingan Teknik Hitung Trachtenberg Sebagai Strategi Peningkatan Kemampuan Numerasi Siswa SMP Negeri Neobat Kefamenanu Miko Purnomo; Justin Eduardo Simarmata; Debora Chrisinta; Adelya I Manalu; Iis Aprianti; Eva Binsasi
Babakti: Journal of Community Engangement Vol 3 No 1 (2026): April
Publisher : Fakultas Teknik, Universitas Singaperbangsa Karawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35706/babakti.v3i1.13204

Abstract

Kemampuan numerasi merupakan salah satu kompetensi penting yang harus dimiliki siswa dalam menghadapi tantangan pembelajaran abad ke-21. Namun, dalam praktiknya masih banyak siswa yang mengalami kesulitan dalam melakukan operasi hitung dasar, khususnya pada materi perkalian dan pembagian. Kondisi ini juga ditemukan pada siswa di SMP Negeri Neonbat Kefamenanu yang menunjukkan rendahnya minat belajar matematika serta belum adanya pengenalan metode berhitung alternatif. Oleh karena itu, kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kemampuan numerasi siswa melalui pendampingan teknik hitung Trachtenberg. Kegiatan dilaksanakan melalui beberapa tahapan, yaitu survei lokasi, identifikasi permasalahan mitra, pelaksanaan pelatihan, serta evaluasi dan monitoring. Metode pelaksanaan menggunakan pendekatan partisipatif melalui kegiatan sosialisasi, workshop, dan praktik langsung penggunaan metode Trachtenberg dalam menyelesaikan operasi perkalian dan pembagian. Evaluasi kegiatan dilakukan melalui pemberian tes sebelum dan sesudah pelatihan serta observasi aktivitas siswa selama kegiatan berlangsung. Hasil kegiatan menunjukkan adanya peningkatan kemampuan numerasi siswa yang ditunjukkan oleh kenaikan nilai rata-rata dari 61,0 pada pre-test menjadi 79,5 pada post-test. Selain itu, siswa juga menunjukkan peningkatan minat, keaktifan, dan kepercayaan diri dalam menyelesaikan soal matematika. Dengan demikian, pendampingan teknik hitung Trachtenberg dapat menjadi salah satu strategi alternatif yang efektif dalam meningkatkan kemampuan numerasi siswa.
Estimation of Path Coefficient Parameter Based on The Best RMSEA Value in Structural Equation Modeling Weighted Least Square Justin Eduardo Simarmata; Ferdinandus Mone; Debora Chrisinta; Miko Purnomo; Alejandro Jr. V. Matute
RANGE: Jurnal Pendidikan Matematika Vol. 7 No. 2 (2026): Range Januari 2026
Publisher : Pendidikan Matematika UNIMOR

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/jpm.v7i2.10324

Abstract

Structural Equation Modeling (SEM) is a statistical approach widely used to analyze causal relationships between latent and observed variables. A key issue in SEM lies in selecting an appropriate parameter estimation method, as it strongly affects the accuracy and interpretation of results. Among the most common estimation techniques are Maximum Likelihood (ML) and Weighted Least Squares (WLS). This study aims to compare the performance of ML and WLS in estimating path coefficients within SEM analysis. Using simulated data generated with the simulateData() function from a predefined structural model, three scenarios are examined with sample sizes of 500 and 1000. Data transformation procedures are applied to ensure consistency before model testing. Each SEM model is then estimated using both ML and WLS, and the results are evaluated through Root Mean Square Error of Approximation (RMSEA) values obtained from 100 replications. Findings indicate that WLS generally outperforms ML in terms of model fit and stability. In the first scenario with a sample size of 500, WLS achieves a lower average RMSEA (0.0141) compared to ML (0.0172). With a sample size of 1000 in the second scenario, both methods produce similar RMSEA values (0.009 for WLS and 0.0096 for ML), though WLS demonstrates lower variability. In the third scenario, also with a sample size of 1000, WLS records an average RMSEA of 0.0074 versus 0.0092 for ML. Overall, the results suggest that WLS is more effective and reliable than ML in providing accurate parameter estimates across different data conditions and sample sizes.
Evaluasi Media Pembelajaran Digital Matematika Menggunakan Integrasi Analisis Korespondensi Berganda dan Klasterisasi K-Medoids Justin Eduardo Simarmata; Miko Purnomo; Kristoforus Fallo; Debora Chrisinta
Media Pendidikan Matematika Vol. 13 No. 2 (2025): J-MPM
Publisher : Program Studi Pendidikan Matematika, FSTT, Universitas Pendidikan Mandalika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/mpm.v13i2.18442

Abstract

Learning linear inequalities still encounters challenges in terms of visualization and interactivity, while the evaluation of digital learning media generally relies only on descriptive analysis, resulting in less comprehensive findings. This study aims to evaluate the effectiveness of RShiny-based digital learning media through the integration of Multiple Correspondence Analysis (MCA) and K-Medoids clustering as a scientific novelty in examining multidimensional patterns of student perceptions. The media was implemented among 101 tenth-grade students from three schools using a five-construct questionnaire that had been previously tested for validity and reliability. The results showed that most students responded positively to the interface, clarity of material, and ease of use; MCA identified dominant indicators including increased motivation, conceptual understanding, and assessment outcomes, while K-Medoids produced two perception clusters, namely highly positive and moderate. Therefore, the RShiny-based media is proven effective in enhancing students’ motivation, conceptual understanding, and academic performance in learning linear inequalities.
Implementation of an Integrated Organic Farming System to Empower Local Farmer Groups in the Highlands of Bali Wang Junn; Zhang Li; Putu Fajar Kartika Lestari; Miko Purnomo
Pengabdian: Jurnal Abdimas Vol. 3 No. 4 (2025)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/abdimas.v3i4.3289

Abstract

Background. Agricultural sustainability in Bali’s highland regions faces increasing challenges due to soil degradation, excessive chemical input, and the decline of traditional farming practices. These issues threaten both environmental resilience and the socio-economic stability of smallholder farmers. Purpose. This study aims to implement and evaluate an integrated organic farming system designed to empower local farmer groups through environmentally sustainable and economically viable agricultural practices.   Method. The research employed a participatory action research (PAR) method involving 60 farmers across three highland villages Kintamani, Pelaga, and Pupuan. The program integrated organic composting, biopesticide application, crop rotation, and market linkage training. Data were collected through field observations, yield measurements, and pre- and post-intervention surveys assessing knowledge, productivity, and income. Results. Results of the study demonstrated that the implementation of an integrated organic farming system effectively improved agricultural productivity, environmental quality, and farmers’ socio-economic well-being in the highlands of Bali. Conclusion. The study concludes that implementing a community-based organic farming model can simultaneously promote environmental restoration and rural economic empowerment. The success of this approach demonstrates its potential scalability for sustainable agriculture programs across Indonesia’s highland ecosystems.
Co-Authors Adelya I Manalu Alejandro Jr. V. Matute Chrisinta, Debora Eva Binsasi Iis Aprianti Kristoforus Fallo mone, ferdinandus Putu Fajar Kartika Lestari Simarmata, Justin Eduardo Wang Junn Zhang Li