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All Journal Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Journal of Community Empowerment
Chintyana, Alissa
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Computer Science & IT Economics, Econometrics & Finance Education Health Professions Languange, Linguistic, Communication & Media Mathematics Social Sciences

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Modeling of Gross Domestic Product Growth in Indonesia by Using Multi-Input Intervention Model Chandrawati, Chandrawati; Kertanah, Kertanah; Ramli, Tri Juliantin; Chintyana, Alissa; Hirzi, Ristu Haiban
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 12 Issue 2 December 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i2.27949

Abstract

The Gross Domestic Product (GDP) Growth of Indonesia has fluctuated over time due to established policies, economic crises, changes in political direction, and natural disasters. In 1998, due to the fall of the New Order regime, the Indonesian economy contracted by -13.13 percent, leading to hyperinflation. In 2020 the COVID-19 pandemic occurred which caused Indonesia's GDP Growth to contract again. Accurate forecasting of GDP Growth is crucial for government to formulate effective future policy strategies to maintain the stability of Indonesia's economy. There are several outliers in Indonesia's GDP Growth data, so the proper analysis is a multi-input intervention. The best model analysis is ARIMA (1,0,0) with non-zero mean using the first order intervention b=0, r=0, s=0 and the second order intervention b=0, r=0, and s=0 which resulted in a Mean Absolute Percentage Error (MAPE) of 23.47 percent. The outlier effect on Indonesia's GDP Growth data is both direct and temporary.
Support Vector Machine-Radial Basis Function Kernel and K-Nearest Neighbor Differences for Classification Superior Varieties of Rice in Indonesia Chintyana, Alissa; Kertanah, Kertanah; Hastuti, Siti Hariati; Khotimah, Husnul
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 12 Issue 2 December 2024
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v12i2.27605

Abstract

Rice is the primary food source for the Indonesian population, making it a priority commodity in Indonesia. Rice production plays a significant role in Indonesia's economic development, with high-yield rice varieties being crucial for enhancing national rice output. Ensuring food security requires the selection of superior rice varieties with optimal quality. This study evaluates various high-yield rice varieties, including INPARA, INPARI, INPAGO, and HIPA, based on characteristic data collected in 2023. Machine learning algorithms, increasingly central to data analysis, were applied, leveraging labeled data suitable for supervised learning methods. During the pre-processing stage, it was determined that the data did not meet the linearity assumption. Thus the Support Vector Machine (SVM) algorithm was modified with the Radial Basis Function (RBF) kernel to better handle non-linear data. Additionally, the K-Nearest Neighbor (KNN) algorithm, a traditional method, was used for comparison. The results indicate that SVM with the RBF kernel achieved faster processing times and the accuracy value reaches 96%, nearly 10% higher than the KNN algorithm.
Evaluating Kernel Weighting Functions in Geographically Weighted Logistic Regression for Spatial Modelling of Stunting in East Lombok Hastuti, Siti Hariati; Chintyana, Alissa; Sastriana, Hanipar Mahyulis
Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Volume 13 Issue 3 December 2025
Publisher : Universitas Negeri Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37905/euler.v13i3.33951

Abstract

Stunting remains a major public health concern in Indonesia, with East Lombok Regency recording the highest prevalence in West Nusa Tenggara Province in 2022. This study aims to identify factors influencing stunting while accounting for spatial heterogeneity across regions. The Geographically Weighted Logistic Regression (GWLR) method was applied, comparing three kernel weighting functions: Fixed Gaussian, Adaptive Gaussian, and Adaptive Bisquare, to determine the best-fitting model. Parameter estimation was conducted using Maximum Likelihood Estimation with the Newton–Raphson iterative procedure. The results show that the Adaptive Gaussian kernel provided the best model performance, indicated by the lowest Corrected Akaike Information Criterion (AICc) value of 28.346. Spatial mapping identified two regional clusters: one where vitamin A supplementation significantly affected stunting, and another where no explanatory variables were significant. These findings emphasize the importance of incorporating spatial effects in public health modeling to support more targeted and context-specific interventions for stunting reduction at the local level.
PELATIHAN PENGOLAHAN LIMBAH TERNAK SAPI MENJADI ENERGI ALTERNATIF (BIOGAS) DI DESA PAKUAN LOMBOK BARAT Basirun, Basirun; Hidayaturrohman, Umam; Chintyana, Alissa; Hirzi, Ristu Haiban; Sastriana, Hanipar Mahyulis; Hastuti, Siti Hariati
Journal of Community Empowerment Vol 4, No 3 (2025): Desember
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jce.v4i3.37070

Abstract

ABSTRAK                                                                                Limbah kotoran sapi merupakan salah satu sumber pencemaran lingkungan jika tidak dikelola dengan baik. Desa Pakuan, sebagai salah satu sentra peternakan sapi di Kabupaten Lombok Barat menghadapi tantangan dalam mengelola limbah ternaknya. Kegiatan pengabdian masyarakat ini bertujuan untuk meningkatkan pengetahuan dan keterampilan kelompok ternak dalam pengolahan limbah ternak menjadi biogas. Metode yang digunakan meliputi pendekatan partisipatif, transfer teknologi, dan monitoring evaluatif. Hasil pelatihan menunjukkan bahwa masyarakat memiliki antusiasme tinggi terhadap pemanfaatan biogas. Hal ini terbukti dari peningkatan pengetahuan yang sebelumnya 15% menjadi 80% dan peningkatan keterampilan sebelum kegiatan hanya 5% meningkat menjadi sebesar 80% sehingga dapat dikatakan bahwa mitra sudah mandiri dalam mengolah limbah ternak sapi menjadi energi alternatifr yaitu biogas dengan teknologi biodigester portabel.Kata kunci: Limbah Ternak Sapi; Digester Portabel; Energi Alternatif; Biogas. ABSTRACTCow manure is a source of environmental pollution if not managed properly. Pakuan Village, as one of the cattle farming centers in West Lombok Regency, faces challenges in managing its livestock waste. This community service activity aims to improve the knowledge and skills of livestock groups in processing livestock waste into biogas. The methods used include a participatory approach, technology transfer, and evaluative monitoring. The training results showed high community enthusiasm for biogas utilization. This is evident in the increase in knowledge from 15% to 80% and the increase in skills before the activity from only 5% to 80%. Therefore, it can be said that the partners are now independent in processing cattle waste into alternative energy, namely biogas, using portable biodigester technology.Keywords: Limbah Ternak Sapi; Digester Portabel; Energi Alternatif; Biogas.
Co-Authors Basirun, Basirun Chandrawati, Chandrawati Husnul Khotimah Kertanah, Kertanah Ramli, Tri Juliantin Ristu Haiban Hirzi, Ristu Sastriana, Hanipar Mahyulis Siti Hariati Hastuti Umam Hidayaturrohman