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All Journal EKSAKTA: Journal of Sciences and Data Analysis Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Viranty, Miftah Rizky
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Chemical Engineering, Chemistry & Bioengineering Chemistry Earth & Planetary Sciences Materials Science & Nanotechnology Social Sciences Other

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Statistics Enthusiast Movement: Enhancement of Posyandu and PKK Cadre Competencies in Desa Simpang Tiga for Monitoring Maternal and Child Health : Gerakan Cinta Statistik: Peningkatan Kompetensi Kader Posyandu dan PKK Desa Simpang Tiga dalam Pemantauan Kesehatan Ibu dan Anak Anggraini, Dewi; Rahkmawati , Yeni; Zulliati, Zulliati; Maulida, Maisya; Cahyadi, Rizqa Nabiilah; Nazili, Muhammad Haqin; Al Atqiaa , Muhammad Azkaa; Siahaan, Priscilla Aquirera Iory; Viranty, Miftah Rizky
Dinamisia : Jurnal Pengabdian Kepada Masyarakat Vol. 9 No. 2 (2025): Dinamisia: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/dinamisia.v9i2.25013

Abstract

Local area monitoring of maternal and child health is crucial for assessing health service quality. In Desa Simpang Tiga, challenges include a manual and unintegrated maternal and child health documentation system and limited cadre competencies in anthropometric measurements, antenatal care data management, and analysis. This community-based empowerment program aimed to address these issues through community partnership empowerment. The program involved focus group discussions and scientific and technical training for Posyandu and PKK cadres. A Wilcoxon Test evaluated the program's effectiveness by comparing pre- and post-training cadre competencies. Results showed significant improvements: cadre competency in anthropometric measurements increased by 20.8% (from 53% to 73.8%) (p < 0.05). Competency in maternal and child health data management and analysis increased by 43.8% (from 33.5% to 77.3%) (p < 0.05). These findings demonstrate the program's success in enhancing cadre competencies in basic maternal and child health measurements and data management in Desa Simpang Tiga.
Long-Memory Modeling of Farmers' Terms of Trade in Indonesia: A Comparative Analysis of SARIMA and SARFIMA Approaches Viranty, Miftah Rizky; Rahkmawati, Yeni; Asianingrum, Al Hujjah
EKSAKTA: Journal of Sciences and Data Analysis VOLUME 7, ISSUE 1, April 2026
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/EKSAKTA.vol7.iss1.art6

Abstract

Indonesia, as an agrarian country, places the agricultural sector as a vital pillar of its economy and food security, with farmers’ welfare measured through the Farmers’ Terms of Trade (FTT). This study aims to compare the performance of the Seasonal Autoregressive Integrated Moving Average (SARIMA) and the Seasonal Autoregressive Fractionally Integrated Moving Average (SARFIMA) models in forecasting FTT using monthly data from 2009 to 2024 obtained from BPS (Statistics Indonesia). The results show that the SARIMA(0,1,1)(0,1,1)₁₂ model demonstrates higher accuracy with a MAPE value of 5.29%, compared to SARFIMA(1,0.2688,0)(0,1,1)₁₂ with a MAPE of 5.97%. However, the relatively small difference in MAPE indicates the presence of long-memory characteristics in the FTT data, although it does not significantly improve forecasting accuracy. The forecast results based on the best SARIMA model predict that FTT will gradually increase throughout 2025, peaking at 127.2920 in December, with a temporary decline from March to May. These findings can serve as a basis for the government to formulate targeted agricultural policies, price control measures, subsidy distribution, and marketing strategies that enhance farmers’ welfare and support national food security.
Co-Authors Al Atqiaa , Muhammad Azkaa Al Hujjah Asianingrum Cahyadi, Rizqa Nabiilah Dewi Anggraini Maulida, Maisya Nazili, Muhammad Haqin Siahaan, Priscilla Aquirera Iory Yeni Rahkmawati Zulliati Zulliati, Zulliati