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All Journal Jurnal Riset Perencanaan Wilayah dan Kota Jurnal Pengabdian Nasional (JPN) Indonesia
Aliansyah, Fery Ardi
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Civil Engineering, Building, Construction & Architecture Economics, Econometrics & Finance Engineering Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

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Optimalisasi Pemanfaatan Tanaman Obat Keluarga Melalui Pembuatan TOGA Spot dan Pengelolaan Produk Olahan di Desa Pace Nurcholis, Mahfud; Safira, Firdina Dea; Gusman, Cahya Sefty; Jannah, Nur Akhillah Roikhatul; Tatiana, Septin Amelia Putri; Nabila, Alifatun; Yuliana, Diah Trisna; Aliansyah, Fery Ardi; Fitriani, Irmaliya Nova; Wafiy, Nizar Nur; Prasetiyo, Prasetiyo
Jurnal Pengabdian Nasional (JPN) Indonesia Vol. 6 No. 3 (2025): September
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.63447/jpni.v6i3.1618

Abstract

The Program Mahasiswa Berdesa (Promahadesa) DESENTRAL is carried out in Pace Village, Silo District, Jember Regency which is one of the villages supported by Jember University. The village community utilizes their land for ginger cultivation, making it the largest ginger-producing area in Jember Regency. This is evidenced by data from the BPS Jember Regency in 2023. In addition to ginger, there are other types of medicinal plants (TOGA) such as turmeric, galangal, and other plants. There is an issue where the utilization of TOGA plants is not yet optimal, as they are considered household medicinal plants and not utilized as a source of health or business opportunities. Given the lack of innovation in processing herbal products, which are sold in their raw form without being processed into value-added products, the Promahadesa DESENTRAL team adopted a participatory and applied approach focused on utilizing the assets and potential of Pace Village. The participatory and applied approach is implemented through five main stages: focus group discussions (FGD), education, field demonstrations, skill training, monitoring, and evaluation. Activities will focus on planting TOGA and training in processing harvests into instant ginger, instant turmeric, and ginger gummy. TOGA planting will be conducted on village hall land with various plant species totaling 50 seedlings. Processing training will be conducted with the community using demonstration and hands-on methods to produce instant ginger, instant turmeric, and ginger gummy. Through this activity, TOGA plants will be monitored by the local community and the harvest will be processed into instant ginger, instant turmeric, and ginger gummy that are ready to sell so as to provide added economic value to the village community. The results of training, packaging, and marketing have been effective with the community participation rate reaching 95% and the satisfaction evaluation shows a “very good” category.
Integrasi Citra VIIRS dan Statistik Sosial dalam Pemetaan Kemiskinan di Kabupaten Bondowoso Listyawati, Ratih Novi; Prasetiyo, Prasetiyo; Aliansyah, Fery Ardi; Salsabila, Dian Aulia
Jurnal Riset Perencanaan Wilayah dan Kota Volume 5, No. 2, Desember 2025, Jurnal Riset Perencanaan Wilayah dan Kota (JRPWK)
Publisher : UPT Publikasi Ilmiah Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jrpwk.v5i2.7755

Abstract

Abstract. Poverty remains a development issue in Bondowoso Regency, East Java Province, with a poverty rate of 12.60%. The limitations of conventional statistical data on a micro spatial scale have encouraged the use of alternative approaches based on remote sensing. This study aims to analyze the distribution of poverty through the integration of VIIRS nighttime light imagery and Integrated Social Welfare Data (DTKS). The methods used include the classification of nighttime light radiance intensity into eight classes and Pearson's correlation analysis to test the relationship between nighttime light intensity and the number and density of poor people at the subdistrict level. The results of the analysis show that the correlation between nighttime light intensity and the number of poor people is positive but not significant (r = 0.368; sig. = 0.084), while the correlation with the density of poor people shows a very strong and significant relationship (r = 0.871; sig. = 0.000). These findings indicate that nighttime light better represents the concentration of activity and population density than the absolute level of poverty. Therefore, nighttime light imagery cannot be used as a single indicator of welfare and needs to be integrated with micro-social indicators to improve the accuracy of poverty mapping. Abstrak. Kemiskinan masih menjadi permasalahan pembangunan di Kabupaten Bondowoso, Provinsi Jawa Timur, dengan persentase penduduk miskin sebesar 12,60%. Keterbatasan data statistik konvensional pada skala spasial mikro mendorong penggunaan pendekatan alternatif berbasis penginderaan jauh. Penelitian ini bertujuan untuk menganalisis persebaran kemiskinan melalui integrasi citra cahaya malam VIIRS dan Data Terpadu Kesejahteraan Sosial (DTKS). Metode yang digunakan meliputi klasifikasi intensitas radiansi cahaya malam ke dalam delapan kelas serta analisis korelasi pearson untuk menguji hubungan antara intensitas cahaya malam dengan jumlah dan kepadatan penduduk miskin pada tingkat kecamatan. Hasil analisis menunjukkan bahwa korelasi antara intensitas cahaya malam dan jumlah penduduk miskin bersifat positif namun tidak signifikan (r = 0,368; sig. = 0,084), sedangkan korelasi dengan kepadatan penduduk miskin menunjukkan hubungan yang sangat kuat dan signifikan (r = 0,871; sig. = 0,000). Temuan ini menunjukkan bahwa cahaya malam lebih merepresentasikan konsentrasi aktivitas dan kepadatan penduduk dibandingkan tingkat kemiskinan secara absolut, sehingga citra cahaya malam tidak dapat digunakan sebagai indikator tunggal kesejahteraan dan perlu diintegrasikan dengan indikator sosial mikro untuk meningkatkan akurasi pemetaan kemiskinan.
Co-Authors Fitriani, Irmaliya Nova Gusman, Cahya Sefty Jannah, Nur Akhillah Roikhatul Nabila, Alifatun Nurcholis, Mahfud Prasetiyo Prasetiyo Ratih Novi Listyawati Safira, Firdina Dea Salsabila, Dian Aulia Tatiana, Septin Amelia Putri Wafiy, Nizar Nur Yuliana, Diah Trisna