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PENINGKATAN PEMAHAMAN MASYARAKAT TERHADAP MANFAAT KEGIATAN URBAN FARMING Wulandari, Indri; Abdoellah, Oekan Soekotjo; Suparman, Yusep; Mulyanto, Dede; Basagevan, Rahma Maulia Fadli; Fianti, Nafa Destri
Kumawula: Jurnal Pengabdian Kepada Masyarakat Vol 6, No 2 (2023): Kumawula: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/kumawula.v6i2.45634

Abstract

Pangan merupakan kebutuhan mendasar bagi manusia. Untuk memenuhi kebutuhan pangan di wilayah perkotaan, umumnya mengandalkan hasil produksi pertanian dari wilayah pedesaan. Namun, hal ini menyebabkan alih fungsi lahan di wilayah pedesaan, yang berdampak pada penurunan kualitas lingkungan. Dengan demikian, masyarakat di wilayah perkotaan dituntut untuk dapat memenuhi kebutuhan pangannya sendiri. Upaya yang dapat dilakuakn ileh masyarakat perkotaan adalah dengan melakukan kegiatan urban farming. Disamping memberikan manfaat untuk memenuhi kebutuhan pangan sebagai bentuk ketahanan pangan, urban farming juga memberikan manfaat lain dan belum banyak dipahami oleh masyarakat. Oleh karena itu, kegiatan penyuluhan ini dilakukan dengan tujuan untuk memberikan atau meningkatkan pemahaman pada masyarakat terhadap manfat urban farming. Pengumpulan data dilakukan dengan metode campuran (mix method) antara metode kualitatif dan kuantitatif. Teknik pengumpulan data kualitatif adalah dengan wawancara mendalam pada informan dan untuk data kuantitatif dengan menyelenggarakan pre-test dan post-test pada responden, yang akhirnya dilakukan penilaian terhadap masing-masing tes. Masyarakat memahami pentingnya kegiatan pertanian untuk ketahanan pangan dan memiliki keingintahuan untuk melakukannya. Akan tetapi, masyarakat belum memahami manfaat kegiatan urban farming lainnya, selain untuk memenuhi kebutuhan pangan. Setelah dilakukan pemberian materi dan informasi mengenai tujuan dan manfaat urban farming, melalui skema penyuluhan, terjadi peningkatan pemahaman pada responden. Hal ini ditunjukkan dengan meningkatnya hasil penilaian post-test dibandingkan pre-test sebesar 20%. Dengan mengikuti kegiatan penyuluhan ini masyarakat memahami bahwa urban farming penting untuk ketahanan pangan serta juga memberikan pendapatan rumah tangga dan meningkatkan kualitas lingkungan di wilayah perkotaan.
MITIGASI PERUBAHAN IKLIM: PENGUATAN PENGETAHUAN DAN KAPASITAS MASYARAKAT DALAM PENGELOLAAN SAMPAH ORGANIK Wulandari, Indri; Abdoellah, Oekan S.; Suparman, Yusep; Mulyanto, Dede; Utama, Gemilang Lara
Kumawula: Jurnal Pengabdian Kepada Masyarakat Vol 7, No 3 (2024): Kumawula: Jurnal Pengabdian Kepada Masyarakat
Publisher : Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24198/kumawula.v7i3.51351

Abstract

Waste is something that is always produced daily. Therefore, its management is a challenge, both on a micro and macro scale. Human activities related to household waste management contribute to climate change and this is a concern for farmers, including urban farmers. Climate change that occurs can have a negative impact on agricultural activities. On the other hand, farmers also need to manage their urban agricultural land efficiently. This extension aims to increase public understanding of how to process household waste into liquid organic fertilizer independently. The method used is quantitative, using a questionnaire during the extension to assess community knowledge. The extension also demonstrated the processing of waste into liquid organic fertilizer, by showing simple tools, materials, and procedures. In addition, post-extension assistance was also provided to increase community capacity in managing waste into liquid organic fertilizer. The results showed that there was an increase in community knowledge regarding waste management. Ultimately, this initiative provides ongoing support to the community, helping them successfully process household organic waste into liquid organic fertilizer. Thus, the efforts made by the community in processing waste can potentially mitigate climate change. Sampah merupakan sesuatu yang selalu dihasilkan dalam kehidupan. Oleh karena itu, pengelolaannya menjadi tantangan, baik dalam skala mikro maupun makro. Aktivitas manusia terkait pengelolaan sampah rumah tangga berkontribusi terhadap perubahan iklim dan hal ini menjadi perhatian bagi para petani, termasuk petani perkotaan. Perubahan iklim yang terjadi dapat memberikan dampak negatif terhadap kegiatan pertanian. Di sisi lain, para petani juga perlu mengelola lahan pertanian perkotaannya secara efisien. Penyuluhan ini bertujuan untuk meningkatkan pemahaman masyarakat tentang cara mengolah sampah rumah tangga menjadi pupuk organik cair secara mandiri. Metode yang digunakan adalah kuantitatif, dengan menggunakan kuesioner saat penyuluhan untuk menilai pengetahuan masyarakat. Dalam penyuluhan juga didemonstrasikan pengolahan sampah menjadi pupuk organik cair, dengan memperlihatkan alat, bahan, dan prosedur sederhana. Disamping itu, juga dilakukan pendampingan pasca penyuluhan untuk meningkatkan kapasitas masyarakat dalam melakukan pengelolaan sampah menjadi pupuk organik cair. Hasilnya menunjukkan bahwa terjadi peningkatan pengetahuan masyarakat terkait pengelolaan sampah. Pada akhirnya, inisiatif ini memberikan dukungan berkelanjutan kepada masyarakat, membantunya berhasil memproses sampah organik rumah tangga menjadi pupuk organik cair. Dengan demikian, usaha yang dilakukan masyarakat dalam pengolahan sampah ini dapat berpotensi untuk memitigasi perubahan iklim.
MULTINOMIAL LOGISTIC REGRESSION TO DETERMINE FACTORS INFLUENCING THE SELECTION OF HEALTH CARE FACILITIES IN INDONESIA Sobari, Muhamad; Putri, Dian Islamiaty; Prama, Delvi Rutania; Suparman, Yusep
Journal of Fundamental Mathematics and Applications (JFMA) Vol 7, No 2 (2024)
Publisher : Diponegoro University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jfma.v7i2.16499

Abstract

Health facilities play a critical role in meeting the community's health needs. The existence of changes in lifestyle resulted in the community suffering from an increasing number of diseases, which increased the community's need for health facilities. There are two kinds of health facilities in Indonesia: government-owned health facilities and private health facilities. Both health facilities have advantages and disadvantages in terms of community service. As a result, Indonesians must make decisions about which health facilities to use in order to address health issues. The purpose of this research is to identify the factors that influence the selection of health facilities in Indonesia. Data from the Indonesia Family Life Survey (IFLS) 2015 were used in this study. This study uses four types of health facilities so the multinomial logistic regression method is appropriate. The findings of this study are all factors used in this study have a significant effect on the selection of health facilities. Jamkesmas ownership factors, gender, age, ability to move, and morbidity are significant on the three categories of response variables, namely public, private, and other health facilities. Askes ownership factor is significant in two categories, namely public and private health facilities. The marital status factor in the married category was significant in three categories, while divorced/widowed category was significant in two categories. While the five categories of education level factors were significant in other health facilities category.
Exploring the Role of Urban Agriculture in Indonesia’s Socio-Economic and Environmental Landscape: A Systematic Literature Review Saputra, Aji; Abdoellah, Oekan Soekotjo; Utama, Gemilang Lara; Suparman, Yusep; Mulyanto, Dede; Wulandari, Indri
Jurnal Ilmu Lingkungan Vol 23, No 1 (2025): January 2025
Publisher : School of Postgraduate Studies, Diponegoro Univer

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jil.23.1.175-188

Abstract

In the domain of sustainability, urban agriculture is recognized as a key instrument for confronting critical global challenges including but not limited to food security, climate change, and environmental degradation. As an integral component of sustainable practices, urban agriculture offers a comprehensive strategy for addressing these concerns concurrently. The primary aim of this systematic review is to delineate the methodologies implemented for sustainable urban agriculture in Indonesia. Additionally, it assesses the foremost opportunities and challenges in leveraging urban agriculture to achieve environmental, social, and economic objectives. This review used the PRISMA technique to assess 25 articles investigating the relationship between urban agriculture (UA) and sustainability. The studies were selected from the Scopus database, and the aim was to present a comprehensive summary of the current knowledge in this field. Results indicate that urban agriculture offers significant economic, social, and environmental benefits in sustainable urban environments. Realizing its full potential requires coordinated efforts through policy development, community involvement, and overcoming existing obstacles. This study addresses the urgent need for sustainability in cities by integrating farming practices within urban areas, promising food security, reduced environmental impact, and increased urban resilience. With cities facing challenges such as population growth, resource scarcity, and climate change, urban agriculture is key to creating sustainable cities for the future.
The Implementation of Latent Gaussian Model in the Forecasting Process Prina, Elyn; Suparman, Yusep; Prina, Gumgum
Jurnal Penelitian Pendidikan IPA Vol 9 No 12 (2023): December
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v9i12.5835

Abstract

This research aims to determine the implementation of the Latent Gaussian Model in the forecasting process. This research focuses on developing a forecasting model using the Multivariate Latent Gaussian Model (LGM) approach with shared components. which offers a more accurate representation without the assumption of stationarity and cointegration as it accommodates random components in the model. The forecasting results for the five KPPs are considered to have a very good level of accuracy with MAPE values < 10%. This shows that LGM can achieve reliable forecasting when applied to the real life problems. This condition supports forecasting and can be an effective and targeted benchmark. The Latent Gaussian Model using the Bayesian Approach in parameter estimation can be utilized in forecasting Personal Income Tax Article 25/29. This is supported by the highly accurate MAPE value of 0.01%. The implementation of the developed model is not limited to forecasting Personal Income Tax Article 25/29. but can also be used in various other fields. With its hierarchical structure. the Bayesian approach proves to be an effective method for addressing complex modeling challenges.
Sampling Design for Car Survey Using Stratified Random Sampling Widodo, Valeno Glenedias; Suparman, Yusep; Darmawan, Gumgum
Indonesian Journal of Contemporary Multidisciplinary Research Vol. 2 No. 5 (2023): September 2023
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/modern.v2i5.5872

Abstract

Perumda Pasar Juara wants to know the number of cars that enter the Kosambi Market parking area for one month. However, limited access to available data means that Perumda has to count vehicles manually. Therefore, an appropriate sampling design is needed to estimate the number of cars. The data used is the result of observations based on preliminary sampling on October 14-20, 2022 at 08:00-17:00 WIB. The variables of the data used are car arrival time, day dummy, and hour dummy. The method used is dummy regression analysis and stratified sampling design. The regression analysis results show that there are four strata where each stratum has a three-parameter Weibull distribution. Based on the results, the minimum sample size required with a 5% error rate is 116 hours per day and is allocated according to the strata