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All Journal Abdimas Indonesian Journal Malcom: Indonesian Journal of Machine Learning and Computer Science
Carissa, Savvy Prissy Amellia
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Religion Computer Science & IT Economics, Econometrics & Finance Education Industrial & Manufacturing Engineering Social Sciences

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Pemanfaatan Pestisida Nabati Ekstrak Daun Pepaya sebagai Pengendalian Ramah Lingkungan dalam Mendukung Ketahanan Pangan Berkelanjutan Andira, Shaqila Mazaya; Wibowo, Mirza Cahyo; Carissa, Savvy Prissy Amellia; Safitri, Novia Wulan; Murtafi’ah, Roudotul; Jingga, Navisya Putri; Anjani, Rindi Dewi; Khoirunisak, Novita; Hermawan, Raditya; Romadhon, Noval Ihsan; Sukoco, Sampir Andrean
Abdimas Indonesian Journal Vol. 5 No. 2 (2025)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.v5i2.951

Abstract

This community service program addresses the critical role of food security in national development, acknowledging that agricultural productivity is often challenged by pests and diseases. While chemical pesticides are commonly used for pest control, their long-term application leads to negative environmental impacts, including increased pest resistance and harmful residues on food products. Therefore, there is a clear need for environmentally friendly, easy-to-use, and safe alternative pest control methods for household scale application. This initiative focuses on the potential of papaya leaf extract (Carica papaya L.) as a natural pesticide due to its bioactive compounds like papain, alkaloids, saponins, flavonoids, and tannins, which possess insecticidal and antimicrobial properties. The program employed a participatory educational approach in Dukuhmencek Village, involving community members, particularly active women farmers. Activities included socialization on the dangers of chemical pesticides and the benefits of natural alternatives, demonstrations of simple papaya leaf extract preparation, distribution of the natural pesticide, and guidance on its application in home gardens. Primary data was collected through interviews and observations to understand community perceptions, knowledge, and needs regarding eco-friendly pest control. The results showed that the application of papaya leaf extract effectively controlled pests like caterpillars and aphids, leading to healthier plants and reduced leaf damage. This successful implementation fostered community confidence in natural pesticides as a reliable, long-term solution, promoting environmental sustainability and reducing reliance on synthetic chemicals. The program not only enhanced technical skills but also contributed to community self-reliance and strengthened food security.
Pengaruh Faktor Lingkungan Terhadap Distribusi Kasus DBD di Jakarta Selatan Menggunakan Pendekatan Geographically and Temporally Weighted Regression (GTWR): The Effect of Environmental Factors on the Distribution of Dangue Fever Cases in South Jakarta Using Geographically and Temporally Weighted Regression (GTWR) Approach Carissa, Savvy Prissy Amellia; Sugiarti, Nova Putri Dwi; Trimono, Trimono; Idhom, Mohammad
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 5 No. 4 (2025): MALCOM October 2025
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v5i4.2116

Abstract

Demam Berdarah Dengue (DBD) adalah penyakit endemis yang dipengaruhi oleh banyak faktor lingkungan dan memiliki pola penyebaran yang kompleks secara spasial dan temporal.  Dengan menggunakan pendekatan Geographically and Temporally Weighted Regression (GTWR), penelitian ini bertujuan untuk menganalisis distribusi kasus DBD di wilayah Jakarta Selatan. Suhu maksimum dan suhu minimum memiliki dampak positif yang konsisten terhadap peningkatan kasus DBD, menurut hasil penelitian.  Kinerja model GTWR ditunjukkan dengan nilai R-squared 0,5697 dan AIC 556,766. Visualisasi peta risiko mengidentifikasi wilayah seperti Jagakarsa, Cilandak, dan Mampang Prapatan sebagai daerah dengan risiko tinggi, dan pola musiman memperlihatkan peningkatan kasus pada awal hingga pertengahan tahun serta penurunan pada musim kemarau.
Co-Authors Andira, Shaqila Mazaya Anjani, Rindi Dewi Hermawan, Raditya idhom, Mohammad Jingga, Navisya Putri Khoirunisak, Novita Murtafi’ah, Roudotul Romadhon, Noval Ihsan Safitri, Novia Wulan Sugiarti, Nova Putri Dwi Sukoco, Sampir Andrean Trimono, Trimono Wibowo, Mirza Cahyo