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All Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan Proximal: Jurnal Penelitian Matematika dan Pendidikan Matematika JAMBURA JOURNAL OF PROBABILITY AND STATISTICS Mathematics and Applications (MAp) Journal Pattimura International Journal of Mathematics (PIJMath) Parameter: Jurnal Matematika, Statistika dan Terapannya PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Lewaherilla, Norisca
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Energy Engineering Environmental Science Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Pengenalan Investasi Sebagai Bentuk Literasi Numerasi Bagi Siswa SMA Negeri 2 Seram Bagian Barat Bakarbessy, Lusye; Sinay, Lexy Janzen; Lewaherilla, Norisca
PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya Vol 2 No 2 (2024): PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pengamatanv2i2p61-66

Abstract

Dalam era globalisasi dan perkembangan teknologi yang pesat, pemahaman tentang investasi menjadi sangat penting untuk mempersiapkan generasi muda dalam menghadapi tantangan ekonomi masa depan. Belajar tentang investasi bukan hanya tentang mendapatkan keuntungan finansial, tetapi juga tentang memahami pentingnya literasi numerasi dalam pengambilan keputusan keuangan secara bijaksana. Kegiatan Pengabdian kepada Masyarakat di SMA Negeri 2 Seram Bagian Barat ini meliputi pembelajaran matematika keuangan yang berkaitan dengan investasi dan diskusi interaktif yang bertujuan untuk memberikan pengetahuan dasar mengenai investasi, jenis-jenis instrumen investasi, serta manfaatnya. Diharapkan setelah mengikuti kegiatan ini, siswa dapat memiliki pengetahuan yang cukup untuk membuat keputusan finansial yang bijak di masa depan serta menjadi kontributor yang lebih terampil dalam perekonomian global yang semakin kompleks.
Financial Innovation And Annuity Concepts For Teens: Pembelajaran Interaktif Konsep Anuitas Untuk Mendorong Literasi Keuangan Siswa Di Kairatu Lewaherilla, Norisca; Sinay, Lexy Janzen; Bakarbessy, Lusye
PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya Vol 3 No 1 (2025): PENGAMATAN: Jurnal Pengabdian Masyarakat untuk Ilmu MIPA dan Terapannya
Publisher : Jurusan Matematika FMIPA Universitas Pattimura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/pengamatanv3i1p09-14

Abstract

Low financial literacy among teenagers in rural areas is a challenge that needs to be addressed immediately. The FINACT (Financial Innovation and Annuity Concepts for Teens) program is designed as a form of community service that aims to introduce basic concepts of financial planning, especially annuities, through an interactive and contextual approach. This activity was carried out at SMP Negeri 5 Kairatu with discussion-based learning methods, simulations, and educational games. The results of the activity showed an increase in student participation and interest in financial topics, although there were obstacles in basic arithmetic skills. Communication of financial literacy with basic mathematics learning and an adaptive approach to student understanding are needed. The program shows potential as an initial step in forming a more financially capable young generation.
ANALISIS PENGARUH MODEL PEMBELAJARAN CONTEXTUAL TEACHING AND LEARNING (CTL) TERHADAP HASIL BELAJAR SISWA DENGAN MENGGUNAKAN UJI MANN WHITNEY DAN WALD WOLFOWITS Birahi, Markus; Wattimena, Abraham Z; Lewaherilla, Norisca; Latupeirissa, Sanlly Joanne
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 1 No 1 (2022): 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/parameterv1i1pp59-68

Abstract

Pendidikan merupakan sebuah proses pembelajaran bagi setiap individu untuk mencapai pengetahuan dan pemahaman yang lebih tinggi mengenai obyek tertentu dan spesifik. Pendidikan formal berlangsung di sekolah maupun di kampus, namun keberhasilan pelaksanaan program pendidikan dan pengajaran tersebut dapat dipengaruhi oleh berbagai faktor interen. Maka dari itu perlu di terapkan model pembelajaran Contextual Teaching and Learning (CTL) untuk meningkatkan hasil belajar. Uji Mann-Whitney digunakan untuk menguji apakah dua mean populasi sama atau tidak. Uji Wald-Wolfowitz digunakan untuk menguji untuk menguji perbedaan perbedaan dua sampel independent. Tujuan penelitian ini adalah untuk mengetahui ada tidaknya pengaruh model pembelajaran Contextual Teaching and Learning (CTL) terhadap hasil belajar siswa dengan menggunakan Uji Mann-Whitney dan uji Wald-Wolfowitz. Hasil penelitian menunjukan bahwa dengan menggunakan Uji Mann-Whitney maupun Uji Wald-Wolfowitz diperoleh kesimpulan bahwa model pembelajaran Contextual Teaching and Learning berpengaruh terhadap hasil belajar siswa.
PENERAPAN METODE BACKWARD UNTUK MEMODELKAN INDEKS PEMBANGUNAN MANUSIA PROVINSI MALUKU UTARA Sampulawa, Zulfikar I.; Joanne Latupeirissa, Sanlly; Lewaherilla, Norisca
Parameter: Jurnal Matematika, Statistika dan Terapannya Vol 2 No 1 (2023): 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/parameterv2i01pp25-32

Abstract

Indeks Pembangunan Manusia (IPM) merupakan angka yang menggambarkan kondisi masyarakat atau penduduk dalam hal mengakses hasil pembangunan, pendapatan dan kesehatan yang layak. Faktor-faktor yang diduga mempengaruhi IPM Maluku Utara yaitu Angka Harapan Hidup (AHH), Harapan Lama Sekolah (HLS), pengeluaran per kapita dan presentase penduduk miskin. Hasil penelitian ini menunjukkan bahwa model regresi linier berganda dengan menerapkan metode backward diketahui Harapan Lama Sekolah dan Pendapatan per Kapita berpengaruh signifikan terhadap IPM provinsi Maluku Utara dengan nilai R2 sebesar 99.8%.
Forecasting The Composite Stock Price Index Using Autoregressive Integrated Moving Average Hybrid Model Artificial Neural Network Jaariyah, Muhidin; Sinay, Lexy Janzen; Lewaherilla, Norisca; Lesnussa, Yopi Andry
Pattimura International Journal of Mathematics (PIJMath) Vol 1 No 2 (2022): Pattimura International Journal of Mathematics (PIJMath)
Publisher : Pattimura University

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (491.178 KB) | DOI: 10.30598/pijmathvol1iss2pp89-100

Abstract

A stock index is a statistical measure that reflects the overall price movement of a group of stocks selected based on certain criteria and methodologies and evaluated regularly. JCI is included in the composite index, which is the Headline index. The Headline Index is an index that is used as the main reference to describe the performance of the capital market. The JCI is very important in describing the current condition of the capital market because the JCI measures the price performance of all stocks listed on the Main Board and Development Board of the IDX. This study aims to predict JCI data using the time series method. The hybrid Autoregressive Integrated Moving Average–Artificial Neural Network (ARIMA-ANN) model combines the linear ARIMA model and the non-linear ANN model. The best models are the ARIMA model (2,1,1) and the ANN Backpropagation model with one input layer, one hidden layer with 20 neurons, and one output. The ARIMA-ANN hybrid model accurately predicts JCI data because it produces a MAPE value of less than 1%, with the level of forecasting accuracy from testing results being smaller than the level of accuracy during training. In addition, the forecast for the next five days is very accurate because it produces a very small RMSE and a MAPE below 1%, respectively, namely 56.99 and 0.72%.
COMPARISON OF MARS AND BINARY LOGISTIC REGRESSION MODELS FOR IDENTIFYING STUNTING RISK FACTORS IN TODDLERS IN TELUK WARU, EAST SERAM REGENCY Bension, Johan Bruiyf; Kondo Lembang, Ferry; Idris, Nurul Fadillah; Lewaherilla, Norisca
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 20 No 2 (2026): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol20iss2pp1541-1556

Abstract

In 2022, the prevalence of chronic stunting in Indonesia reached 21.6%, surpassing the World Health Organization (WHO) threshold of 20%. East Seram Regency reported an even higher prevalence of 24.1%, with Teluk Waru District identified as one of the areas most affected due to low compliance with healthy lifestyle practices. This study aimed to compare the performance of Multivariate Adaptive Regression Splines (MARS) and Binary Logistic Regression in analyzing risk factors for toddler stunting in Teluk Waru District, East Seram Regency. Data were collected through direct anthropometric measurements at the Integrated Health Post (Posyandu) of Teluk Waru Health Center with 60 respondents. The findings revealed that Binary Logistic Regression outperformed MARS, achieving R2 = 72.7% accuracy in predicting stunting. Significant determinants of toddler stunting included a history of illness, provision of supplementary food for pregnant women, and iron tablet consumption during pregnancy. The novelty of this study lies in the application of a comparative modeling approach—MARS versus Binary Logistic Regression—in identifying stunting risk factors at a district level with high prevalence. Practically, the results can assist local health authorities in prioritizing maternal nutrition and disease prevention programs to reduce stunting.
Co-Authors Bension, Johan Bruiyf Birahi, Markus Damamain, Ferina Lestari Ferry Kondo Lembang Haumahu, Gabriella Idris, Nurul Fadillah Jaariyah, Muhidin Lexy Janzen Sinay, Lexy Janzen Lusye Bakarbessy Maitimu, Fransiska A. A. P. Makatita, Romy Niani, Cukri Rahmi Noya Van Delsen, Marlon Stivo Sampulawa, Zulfikar I. Sopaheluwakan, Marsa Tomu, Ilham Rizky Maziz Wattimena, Abraham Z Yopi Andry Lesnussa Yudistira Yudistira