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All Journal Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Jurnal Samudra Ekonomi dan Bisnis INSIST (International Series on Interdisciplinary Research)
Alan Dwi Wibowo, Alan Dwi
Universitas Lambung Mangkurat
Agriculture, Biological Sciences & Forestry Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering Other

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Rice Supply Patterns in Kalimantan Selatan: Part of solution for regional food security Akbar, Arief RM; Wibowo, Alan Dwi; Rahmi, Alia; Prabawa, Sigit
International Series on Interdisciplinary Science and Technology Vol. 4 No. 1 (2019)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/ins.v4i1.214

Abstract

South Kalimantan is a largest rice producer in Kalimantan island. More than five years its rice met by their own production, moreover it has supplied to other area such as Kalimantan Tengah, Kalimantan Timur and Kalimantan Utara. In many studies, rice stocks play a critical role in determining the regional’s food security. In recent issues, rice stocks has a wide impact on an array of economic, political, societal stabilities. Unfortunately, most of the land in Kalimantan Selatan is classified as wetlands, where the land productivity is low. Therefore, this study analyzes rice supply patterns in Kalimantan Selatan in order to provide policies development toward rice self-sufficiency. This research is using system dynamics approach to explore the system which then develop any alternatives of rice policies. Eventually, this study provides evidences for the need to consider rice supply system in the regional’s food security policies.
Risk Assessment for Long-term Injury of Oil Palm Harvester Akbar, Arief RM; Wibowo, Alan Dwi; Asyikin, Bima Hairul
Jurnal Teknik Pertanian Lampung (Journal of Agricultural Engineering) Vol. 14 No. 2 (2025): April 2025
Publisher : The University of Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jtep-l.v14i2.594-603

Abstract

Fresh fruit bunches (FFB) are mostly harvested manually in large and small plantations. Ergonomically, this type of work has the potential to cause permanent muscle injuries over time. Based on these concerns, a study was conducted to assess the workload by monitoring heart rates using a Heart Rate Monitor for each task element of the oil palm fruit harvesters. The risk level of these harvesters was also assessed using the Rapid Entire Body Assessment (REBA) method. The risk levels were evaluated based on the weight and height of harvesters. The analysis of the harvesters' workload, based on heart rate measurements during different harvesting activities, shows that cutting bunches and fronds falls into the heavy workload category. Moving between locations is classified as a moderately heavy workload, while unloading and organizing bunches at the collection site (TPH) is considered a light workload. The results of the risk level analysis for the harvesters show that for the minimum weight variable, the risk is in the moderate risk category, while for the maximum weight variable, the risk is classified as high. In terms of height, both the minimum and maximum height variables fall into the moderate risk category. Keywords: Ergonomics, Oil palm harvesters, Rapid entire body assessment, Risk level, Workload.
Digitalisasi Pelaporan Indeks K menggunakan K-Smard: Studi Empiris pada Industri Kelapa Sawit Kalimantan Selatan Dahniar, Dahniar; Sudirwo, Sudirwo; Mikrianto, Edi; Herteno, Rudy; Wibowo, Alan Dwi; Septiana, Nurmelati
Jurnal Samudra Ekonomi dan Bisnis Vol 17 No 1 (2026): JSEB
Publisher : Fakultas Ekonomi dan Bisnis Universitas Samudra

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33059/jseb.v17i1.13711

Abstract

The K Index, which serves as the basis for revenue sharing between palm oil mills and smallholders, still exhibits monthly fluctuations that should not theoretically occur. This condition highlights the need for a more consistent, standardized, and user-friendly K Index calculation system supported by digital applications. This study aims to develop and validate the K-SMARD application as an information system for the automated calculation and reporting of the K Index. System development employed the waterfall model, while testing used real K Index data from palm oil mills and was evaluated using a comparative statistical approach against the conventional Excel-based method. The results show that K-SMARD produces accurate and consistent K Index values with no significant differences, while improving efficiency and reporting reliability.
Co-Authors Alia Rahmi Arief RM Akbar, Arief RM Asyikin, Bima Hairul Dahniar Dahniar Edi Mikrianto Herteno, Rudy Nurmelati Septiana Rahmat Nurcahyo Ricky F. Eka Putra, Ricky F. Eka Sigit Prabawa Sudirwo Sudirwo