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All Journal Journal of Degraded and Mining Lands Management J SIG (Jurnal Sains Informasi Geografi) Wahana Peternakan Jurnal Ilmiah Membangun Desa dan Pertanian
Arif, Samsu
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Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Energy Environmental Science Social Sciences Veterinary

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POTENSI DAYA DUKUNG LIMBAH TANAMAN PANGAN DAN HIJAUAN SEBAGAI SUMBER PAKAN TERNAK RUMINANSIA DI KECAMATAN PANCA RIJANG DAN KECAMATAN KULO KABUPATEN SIDENRENG RAPPANG: The Potential Carrying Capacity of Forage and Crop Waste in The Pancarijang and Kulo Districts, Sidenreng Rappang Regency Yusuf, Subaedy; Hazairin Zubair; Arif, Samsu
Wahana Peternakan Vol. 8 No. 1 (2024): Wahana Peternakan
Publisher : Faculty of Animal Science, University of Tulang Bawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37090/jwputb.v8i1.1229

Abstract

Penelitian ini bertujuan untuk mengetahui potensi daya dukung limbah tanaman pangan dan hijauan di Kecamatan Pancarijang dan Kulo, Kabupaten Sidenreng Rappang sebagai sumber pemetaan wilayah terhadap pengembangan peternakan. Penelitian ini dilakukan menggunakan data sekunder yaitu populasi ternak ruminansia dan luas panen tanaman pangan dan hijauan. Hasil penelitian menunjukkan produksi bahan kering limbah tanaman pangan dan hijauan di Kecamatan Pancarijang yaitu 21.661,77 ton bahan kering (BK) dan Kecamatan Kulo sebesar 28.837,86 ton BK. Produksi limbah tanaman pangan dan hijauan tertinggi berasal dari Desa Rijangpanua, Kecamatan Kulo yaitu sebesar 8964,48 ton BK. Daya dukung untuk pakan yang berasal dari limbah jerami padi, jagung dan hijauan yaitu sebanyak 19.001,56 satuan ternak (ST) di Kecamatan Pancarijang dan 25.296,37 ST di Kecamatan Kulo. Hasil analisis location quotient (LQ) di Kecamatan Pancarijang menunjukkan LQ >1 untuk jerami padi terdapat berada pada lima Desa yaitu Rappang, Lalebata, Macorawalie, Kadidi, dan Timureengpanua, sementara Desa tempat program DKS memiliki LQ <1 untuk jerami padi, namun mempunyai keunggulan LQ>1 berasal dari jerami jagung dan hijauan. Demikian nilai LQ >1 di Kecamatan Kulo untuk jerami padi terdapat empat Desa yaitu Kulo, Maddenra, Bina Baru dan Abbokongang, sedangkan Desa Mario dan Rijangpanua memiliki LQ<1. Namun, kedua Desa tersebut memiliki keunggulan yang sama dengan wilayah DKS di Kecamatan Pancarijang yaitu memiliki jerami jagung dan hijauan yang dapat mendukung ketersediaan limbah tanaman pangan berdasarkan bahan kering sebagai pakan ternak ruminansia.   Kata kunci: Daya dukung, Hijauan, Limbah tanaman pangan, Location quotient, Produksi bahan kering
The Decision Factors of Rural Part-Time Workers in Southeast Sulawesi: Characteristics and Determinants Hasmayuli, Wa Ode; Arif, Samsu; Madris
Jurnal Ilmiah Membangun Desa dan Pertanian Vol. 7 No. 6 (2022)
Publisher : Department of Agribusiness, Halu Oleo University Jointly with Perhimpunan Ekonomi Pertanian Indonesia - Indonesian Society of Agricultural Economics (PERHEPI/ISAE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (950.545 KB) | DOI: 10.37149/jimdp.v7i6.85

Abstract

This study aimed to analyze the characteristics and determinants of rural part-time workers in Southeast Sulawesi Province. This study focuses on the socio-demographic attribute that can influence a person to become a part-time worker. Part-time workers are part of non-full workers, which is considered not a problem. Part-time workers are absorbed in less decent jobs. Young age groups dominate them because they are less experienced in the complexities of job search, less intense in wage negotiations, less financially secure, and more vulnerable to psychological stress. Part-time workers are those who work below standard hours but are not looking for work and are not available for work. This study uses secondary data from the August 2021 National Labor Force Survey (Sakernas). Samples used in this study were 3,540 part-time workers spread throughout Southeast Sulawesi Province. Two thousand eight hundred six part-time workers are in rural areas, and 734 are in urban areas. In this study, the dependent variable is part-time workers. While the variables of age, gender, position in the household, marital status, education level, and field of business are independent. The analytical method used in this study is binary logistic regression. This study shows the characteristics of rural part-time workers are dominated by those of the primary working age, female, ordinary household members, married, low education, and working in the agricultural sector. Based on the determinants, part-time workers are more likely to occur in those of young working age, have ever-married status, those with middle and low education, and work in the agricultural sector. Efforts are needed to reduce part-time workers to improve their welfare.
Optimizing maize cultivation through Fuzzy AHP: Balancing land suitability, land use, and environmental sustainability Arif, Samsu; Baja, Sumbangan; Nurmiaty, Nurmiaty; Syamsuddin, Erfan; Syamsuddin, Syamsuddin
Journal of Degraded and Mining Lands Management Vol. 12 No. 4 (2025)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2025.124.8219

Abstract

This study optimized maize cultivation in Gowa Regency, South Sulawesi, Indonesia, a tropical region with diverse topography and environmental constraints, by integrating Fuzzy Analytical Hierarchy Process (Fuzzy AHP) and spatial autocorrelation analysis to assess land suitability. Using a two-stage Fuzzy AHP, 12 criteria (e.g., slope, landslide risk, rainfall) were normalized via fuzzy membership functions and weighted through expert pairwise comparisons in a GIS framework, with spatial autocorrelation identifying clustering patterns. A 30-meter resolution dataset covering topographic, soil, climatic, land use, and environmental risk factors, prioritized slope, landslide risk, and rainfall, yielding a consistent model (CR = 0.0093). The suitability map classified 1.35% (2,445 ha) as highly suitable (S1), 18.1% (32,868 ha) as moderately suitable (S2), 49.1% as marginally suitable (S3), and 31.45% as unsuitable (N). Spatial autocorrelation (Moran’s I = 0.81, p = 0.001) revealed S1/S2 hotspots in the northern plains, ideal for maize expansion, and N coldspots in the eastern highlands, limited by steep slopes and landslide risks. Overlay analysis highlighted land-use conflicts, with moderately suitable land in settlements and unsuitable land in nature reserves, underscoring the need for integrated planning. The framework prioritizes low-risk S1/S2 hotspots for cultivation, restricts high-risk zones, and promotes sustainable practices like terracing and agroforestry for marginal lands. This replicable methodology offers policymakers and farmers actionable insights to enhance maize productivity while ensuring environmental resilience in tropical landscapes. Policymakers should enforce zoning to protect S1/S2 hotspots and subsidize sustainable practices.
STUDI TENTANG COULOMB STRESS PASKA GEMPA BUMI PADA DAERAH MAMUJU – MAJENE MENGGUNAKAN METODE DInSAR Suprapto, Bambang Harimei; Maria, Maria; Arif, Samsu
J SIG (Jurnal Sains Informasi Geografi) Vol 7, No 1 (2024): Edisi Mei
Publisher : Universitas Muhammadiyah Gorontalo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31314/jsig.v7i1.2571

Abstract

Earthquake analysis has been carried out on January 8, 14 and 15 2021 based on changes in the Coulomb Stress Value and post-earthquake surface deformation in the Mamuju – Majene area using the DInSAR method, while the results of the research show changes in positive and negative coulomb stresses ranging from 0.2 bar to 1.0 bar and this positive coulomb tension change may trigger nearby earthquakes located at a distance of 5 km to 35.52 km. The earthquake that occurred on January 8, 1984 had four lobe sections consisting of two positive lobe areas trending northeast-southwest from the epicenter and two negative lobe areas trending northwest-southeast. The January 14 2021 earthquake increased the coulomb voltage in a relatively north-south direction. While the area that shows a decrease in coulomb voltage is relatively east. As well as the January 15 2021 earthquake, the area where the dominant increase in coulomb stress occurred was in the northwest-southwest direction. After the earthquake, there was a post-earthquake land surface change, the area that experienced the highest land level rise or uplift occurred in Kec. Kaluku and Bonena which range from 0.12514 m to 0.269211 m. While the Mamuju city area experienced an uplift ranging from 0.02375 m to 0.06655 m, while the Kec. Tapalang, Kec. Malunda, Kec. Ulamanda, Kec. Pamboang, as well as the coastal area of Majene Regency, most of the area is experiencing subsidence ranging from -0.1629 m to -0.0190 m.
Co-Authors Hasmayuli, Wa Ode Hazairin Zubair Madris Maria Maria Nurmiaty, Nurmiaty Sumbangan Baja, Sumbangan Suprapto, Bambang harimei Syamsuddin Syamsuddin Syamsuddin, Erfan Yusuf, Subaedy