Claim Missing Document
Check
Articles

Found 12 Documents
Search

Determination of Critical Productivity Level on Cluster-Based Area of Rice Crop Insurance in Java Haryastuti, Rizqi; Pasaribu, Sahat M.; Aidi, Muhammad N; Sumertajaya, I Made; Sutomo, Valantino A; Kusumaningrum, Dian; Anisa, Rahma
Jurnal Agro Ekonomi Vol 39, No 1 (2021): Jurnal Agro Ekonomi
Publisher : Pusat Sosial Ekonomi dan Kebijakan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jae.v39n1.2021.1-13

Abstract

IndonesianKesenjangan tingkat produktivitas padi di Indonesia cukup besar yang di antaranya dipengaruhi oleh luasnya wilayah pertanaman. Hal ini berdampak pada desain dan penerapan model Asuransi Usaha Tani Padi (AUTP) berbasis produktivitas. Perluasan klaster pada tingkat provinsi diperkirakan dapat mengurangi keragaman produktivitas di tingkat wilayah kota/kabupaten sebagai risiko dasar pemanfaatan skema AUTP berbasis klaster. Klaster, sebagai wilayah atau zona, diperlukan untuk menentukan indeks kritis produktivitas yang akurat dalam rangka penghitungan tingkat premi yang tepat. Kajian ini bertujuan untuk menentukan tingkat produktivitas kritis pada lahan padi yang menerapkan skema AUTP. Kajian ini menggunakan analisis statistik dengan pendekatan batas bawah Two Sigma yang dapat dianggap sebagai batas produktivitas kritis untuk setiap klaster. Teknik ini memberikan persentase yang rendah atas klaim yang terjadi, serta ekspektasi dan simpangan baku dari risiko dasar kerugian. Tarif premi murni yang diperoleh adalah Rp85.191,18, hampir 2,5 kali lipat lebih kecil dibandingkan dengan menggunakan teknik lain sebagai batas poduktivitas. Hasil kajian ini mengungkapkan bahwa penggunaan skema berbasis klaster lebih baik dari skema berbasis provinsi, sebagaimana ditunjukkan oleh nilai TVaR. Kajian ini menyarankan agar Kementerian Pertanian dapat merancang model AUTP berbasis produktivitas berdasarkan klaster dengan setiap klaster memiliki nilai indeks produktivitas kritis yang berbeda untuk menetapkan tingkat premi yang dikenakan.EnglishThere is a large gap in productivity of paddy in Indonesia which is, among others affected by the area size of crop planting. This condition should influence the design and application model of the rice crop insurance scheme. Developing clusters under the province level is recommended to reduce the heterogeneous productivity as basis risk within regencies/municipalities in improving the area yield index of crop insurance policy in Indonesia. Clusters, as the zone, are necessary to determine accurate critical yield index leading to a more precise premium rate making. This study aims to determine critical productivity level on rice crop insurance area. This study applied statistical analysis using the lower bound of Two Sigma as a critical yield for each cluster. This technique provides a small percentage of claim, and the expectation and standard deviation of basis risk loss. The pure premium rate obtained from the analysis is IDR85,191.18, that is almost 2.5 times less than using other methods as trigger productivity. The analysis result emphasized that the use of the cluster-based scheme is better than the province-based as shown by TVaR value. The study suggests that the Ministry of Agriculture could design the area yield index based on clusters as each cluster will have a different critical productivity index with adjusted premium rate value.
PCS-2 Specialized Structured Cardiovascular of Bats Related to Their Ability to Fly Anisa Rahma; Desrayni Hanadhita; Hera Maheshwari; Aryani Sismin Satyaningtijas; Srihadi Agungpriyono
Hemera Zoa Proceedings of the 20th FAVA & the 15th KIVNAS PDHI 2018
Publisher : Hemera Zoa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (408.051 KB)

Abstract

Bats have the second largest diversity in mammalian classes after rodentia (Nurfitrianto et al., 2013). Bat population reaches approximately 1100 species (Teeling et.al 2005). In Indonesia there are 205 or 21% of known world bat species (Suyanto 2001). Bats are the only flying mammals. The ability bat to fly is supported by the shape of the extremities and also the adaptation of the cardiovascular organs. Based on empirical studies of cardiovascular was known that cardiac muscle mass is a good indicator for the degree of adaptive specialization of prolonged locomotor activity, in both birds and mammals. Data on cardiovascular muscle morphology and muscles that support flying ability will provide an overview of the behavior, ecology and physiology of certain animals (Bishop 1997).Several studies have been conducted to study the cardiovascular system of bats. Research on bat hematology profile has been done (Heard and Whittier 1997, Mclaughlin et.al 2007, Wawrocka and Bartonicka 2014, McMichael et al. 2015, Ratnasooriya 2016, Rashid et al, 2016, Rahma et al., 2018). Joseph (1908) says that every animal has a different size and heart shape to each other. This heart size difference is influenced by the size of the body and the high energy required by the animal (Joseph 1908).Bat's heart rate is known to increase during flight (Thomas and Suthers 1972). This is causes an increase in the rate of metabolism. Writing this paper will discuss about the uniqueness of the bat's heart so that it can support its ability to fly.
Determination of Critical Productivity Level on Cluster-Based Area of Rice Crop Insurance in Java Rizqi Haryastuti; Sahat M. Pasaribu; Muhammad N Aidi; I Made Sumertajaya; Valantino A Sutomo; Dian Kusumaningrum; Rahma Anisa
Jurnal Agro Ekonomi Vol 39, No 1 (2021): Jurnal Agro Ekonomi
Publisher : Pusat Sosial Ekonomi dan Kebijakan Pertanian

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21082/jae.v39n1.2021.1-13

Abstract

IndonesianKesenjangan tingkat produktivitas padi di Indonesia cukup besar yang di antaranya dipengaruhi oleh luasnya wilayah pertanaman. Hal ini berdampak pada desain dan penerapan model Asuransi Usaha Tani Padi (AUTP) berbasis produktivitas. Perluasan klaster pada tingkat provinsi diperkirakan dapat mengurangi keragaman produktivitas di tingkat wilayah kota/kabupaten sebagai risiko dasar pemanfaatan skema AUTP berbasis klaster. Klaster, sebagai wilayah atau zona, diperlukan untuk menentukan indeks kritis produktivitas yang akurat dalam rangka penghitungan tingkat premi yang tepat. Kajian ini bertujuan untuk menentukan tingkat produktivitas kritis pada lahan padi yang menerapkan skema AUTP. Kajian ini menggunakan analisis statistik dengan pendekatan batas bawah Two Sigma yang dapat dianggap sebagai batas produktivitas kritis untuk setiap klaster. Teknik ini memberikan persentase yang rendah atas klaim yang terjadi, serta ekspektasi dan simpangan baku dari risiko dasar kerugian. Tarif premi murni yang diperoleh adalah Rp85.191,18, hampir 2,5 kali lipat lebih kecil dibandingkan dengan menggunakan teknik lain sebagai batas poduktivitas. Hasil kajian ini mengungkapkan bahwa penggunaan skema berbasis klaster lebih baik dari skema berbasis provinsi, sebagaimana ditunjukkan oleh nilai TVaR. Kajian ini menyarankan agar Kementerian Pertanian dapat merancang model AUTP berbasis produktivitas berdasarkan klaster dengan setiap klaster memiliki nilai indeks produktivitas kritis yang berbeda untuk menetapkan tingkat premi yang dikenakan.EnglishThere is a large gap in productivity of paddy in Indonesia which is, among others affected by the area size of crop planting. This condition should influence the design and application model of the rice crop insurance scheme. Developing clusters under the province level is recommended to reduce the heterogeneous productivity as basis risk within regencies/municipalities in improving the area yield index of crop insurance policy in Indonesia. Clusters, as the zone, are necessary to determine accurate critical yield index leading to a more precise premium rate making. This study aims to determine critical productivity level on rice crop insurance area. This study applied statistical analysis using the lower bound of Two Sigma as a critical yield for each cluster. This technique provides a small percentage of claim, and the expectation and standard deviation of basis risk loss. The pure premium rate obtained from the analysis is IDR85,191.18, that is almost 2.5 times less than using other methods as trigger productivity. The analysis result emphasized that the use of the cluster-based scheme is better than the province-based as shown by TVaR value. The study suggests that the Ministry of Agriculture could design the area yield index based on clusters as each cluster will have a different critical productivity index with adjusted premium rate value.
Optimalisasi Kesejahteraan Masyarakat Desa Sumbung pada Era Covid-19 Herwin Pisestiyani; Sandra Dewi Hartanti; Rama Adi Rianto; Nur Indah Andini; Fajar Agus Pradana; Anisa Rahmawati Seolikah; Qomsatun Istiqomah; Annisa Nur Hapsari; Haidar Muhammad Yasin
Jurnal Pusat Inovasi Masyarakat (PIM) Vol. 2 No. Khusus 1 (2021): April 2021
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Institut Pertanian Bogor

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (787.51 KB)

Abstract

The public's disobedience to the government's appeal shows that there is still a lack of education regarding the impact and dangers of COVID-19 as well as prevention facilities for COVID-19 which are still not fully accepted by the community. The objectives of carrying out the KKN-T activities in Sumbung Village during the COVID-19 pandemic include building the potential of the tourist area of Sumbung Village as an effort to increase regional income, prevent the spread of COVID-19 through socializing the application of clean and healthy lifestyles, and building people's thinking patterns to implement a healthy and clean lifestyle. The KKN-T IPB program activities in Sumbung Village, Cepogo District, Boyolali Regency were carried out from July 1 to August 26, 2020. The program carried out by the Sumbung Village KKN-T team included installing plastic droplet protectors or screen guards for shops or stalls, making infographic posters on healthy living habits in the new normal era, how to wash hands properly and distributing hand washing soap to madrasah students, as well as installing map boards for the tourism potential of Sumbung Village. Keywords: COVID-19, KKN-T, behaviour, Sumbung, sreen guard
PENILAIAN TERHADAP SIFAT-SIFAT FISIKA DAN KIMIA TANAH SERTA KUALITASNYA PADA LAHAN SAWAH MARJINAL Latief Mahir Rachman; Fahrizal Hazra; Rahma Anisa
Jurnal Tanah dan Sumberdaya Lahan Vol. 7 No. 2 (2020)
Publisher : Departemen Tanah, Fakultas Pertanian, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (484.402 KB) | DOI: 10.21776/ub.jtsl.2020.007.2.6

Abstract

Various efforts have been carried out by the Indonesian Government to increase rice production, especially the construction of new paddy fields and paddy intensification through increasing intensity or planting frequency in a year. Overcoming the problems of chemical and physical soil properties that have caused low soil productivity is an effort that can be made to increase rice production. This study was aimed to assess the quality of soil physical and chemical properties of the paddy fields in order to find out the cause of the low productivity of paddy soils. The study was conducted in 24 locations in Banten and West Java Provinces. In general, based on their soil quality indexes, the study found that the soil physical quality of paddy soil is good and better than soil chemical quality. There was no significantly different between soil physical quality of paddy soil in Banten and West Java Provinces. However, the soil chemical quality of paddy soils in West Java Province is significantly better than in Banten Province. There were no limiting factors for soil physical properties, while in some locations, some limiting factors of soil chemicals properties were found. Dominant limiting factors for plant growth were the low available P, organic matter and total organic N contents, low pH, and low exchangeable K, and high level of Fe.
Penerapan Teknik Prapemrosesan Smoothing Spline pada Data Hasil Pengukuran Alat Pemantau Kadar Glukosa Darah Non-Invasif Putu Gita Karlina Jayanti; Rahma Anisa; Muhammad Nur Aidi; . Erfiani
Xplore: Journal of Statistics Vol. 2 No. 2 (2018): 31 Agustus 2018
Publisher : Department of Statistics, IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (393.635 KB) | DOI: 10.29244/xplore.v2i2.90

Abstract

A non-invasive blood glucose monitoring device is performed without injuring the limbs. One method of measurement in the form of qualitative and relatively simple to use because the process is fast and requires a cheap cost, namely Fourier Transform Infrared (FTIR). Spectroscopic results allow for a shifting of the scatter, since the same object is measured several times incorrectly producing the same spectrum, requiring a preprocessing method to reduce the problem. However, in some cases it is difficult to identify the existing data pattern, so that a nonparametric approach is needed to identify the pattern of data held so that in the process of calibration model obtained accurate results. Smoothing Spline is one nonparametric method is piecewise polynomial, which is a piece of polynomial that has a segmented property on the hose k that formed at knot points, thus providing flexibility in constructing the shape of the curve that we have. The Smoothing Spline method produces an optimum value when the GCV value is minimum on the use of a linear order with sixteen knot points. The resulting varians value after Smoothing Spline method is smaller than before smoothing, this indicates that this method can minimize the effect of liquefaction in the non-invasive blood glucose value spectrum. In addition, Smoothing Spline method can also capture data patterns well.
Penerapan Regresi Peubah Ganda untuk Menentukan SNP yang Berpengaruh terhadap Prestasi Akademik SMA/MA Wulan Andriyani Pangestu; Budi Susetyo; Rahma Anisa
Xplore: Journal of Statistics Vol. 7 No. 3 (2018): 31 Desember 2018
Publisher : Department of Statistics, IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/xplore.v7i3.130

Abstract

The evaluation step in school accreditation process includes eight components of national education standard (SNP). The result of accreditation from the evaluation is believed to explicate the academic achievement of student, in this case is National Examination (UN). Thus, it is necessary to further observe the relation between the accreditation results and the score of national examination. One of the analysis that can be used is regression analysis, it is used to observe the relation between the accreditation result and the sroce of national examination also to identify the SNP components that affect the national examination score. However, since the study was conducted at senior high school level where the national examination score for this level covers six subjects, the analysis used is no longer a simple regression but a multiple variable regression. It is because of the relationship between the score of the national examination that characterizes an academic achievement. The application result of multiple variable regression method shows that there is a relation between SNP and national examination score.
Model Fungsi Transfer Input Ganda untuk Pemodelan Jakarta Islamic Index Nur Laela Fitriani; Pika Silvianti; Rahma Anisa
Xplore: Journal of Statistics Vol. 7 No. 3 (2018): 31 Desember 2018
Publisher : Department of Statistics, IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/xplore.v7i3.149

Abstract

Transfer function model with multiple input is a multivariate time series forecasting model that combines several characteristics of ARIMA models by utilizing some regression analysis properties. This model is used to determine the effect of output series towards input series so that the model can be used to analyze the factors that affect the Jakarta Islamic Index (JII). The USD exchange rate against rupiah and Dow Jones Index (DJI) were used as input series. The transfer function model was constructed through several stages: model identification stage, estimation of transfer function model, and model diagnostic test. Based on the transfer function model, the JII was influenced by JII at the period of one and two days before. JII was also affected by the USD exchange rate against rupiah at the same period and at one and two days before. In addition, the JII was influenced by DJI at the same period and also at period of one until five days ago. The Mean Absolute Prencentage Error (MAPE) value of forecasting result was 0.70% and the correlation between actual and forecast data was 0.77. This shows that the model was well performed for forecasting JII.
Analisis Kepuasan Pelayanan dan Literasi TIK Pengunjung Dinas-Dinas di Kota Bogor Ryska Putri Madyasari; Anang Kurnia; Rahma Anisa; Yani Nurhadryani
Xplore: Journal of Statistics Vol. 8 No. 1 (2019): 30 April 2019
Publisher : Department of Statistics, IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/xplore.v8i1.152

Abstract

Determining Public Satisfaction Index using analysis of Importance Performance Analysis (IPA) and Customer Satisfaction Index (CSI) can be utilized to improve service quality of Governmental Departments in X City. Analysis of IPA and CSI were used to measure the level of respondents’ satisfaction regarding the provided services. The departments were selected using purposive sampling method. Four selected departments were Population and Civil Registry Department, Transportation Department, Housing and Settlement Department, and Social Department. The result showed that customers were moderately satisfied with the services, with the following CSI index value: 70.09%, 72.95%, and 76.61% respectively for each departments. Moreover, Social Department’s customers were very satisfied with the CSI index 81.56%. In this study, aspect of Information and Communication Technology (ICT) literacy indicator were more exposing the ability to operate personal computer. There were six indicator of ICT literacy, i.e access, manage, integrate, evaluate, create, and communication. The value of evaluate indicator were quite high, it has reached score higher than 50% for each departments were. However, based on overall score, it was shown that 60% respondents still have low ICT literacy. This study also showed that ICT literacy were related to responden’s education and age. It increased along with the higher level of education that has been completed by respondents, and with the age of 17-39 years old.
Seleksi Peubah menggunakan Algoritme Genetika pada Data Rancangan Faktorial Pecahan Lewat Jenuh Dua Taraf Ani Safitri; Rahma Anisa; Bagus Sartono
Xplore: Journal of Statistics Vol. 10 No. 1 (2021)
Publisher : Department of Statistics, IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (606.618 KB) | DOI: 10.29244/xplore.v10i1.473

Abstract

In certain fields, experiments involve many factors and are constrained by costs. Reducing runs is one of the solutions to reduce experiment costs. But that can cause the number of runs to become less than the number of factors. This case of experimental design also is known as a supersaturated design. The important factors in this design are generally estimated by involving variable selection such as forward selection, stepwise regression, and penalized regression. Genetic algorithm is one of the methods that can be used for variable selection, especially for high dimensional data or supersaturated design. This study aims to use a genetic algorithm for variable selection in the supersaturated design and compare the genetic algorithm results with a stepwise regression which is generally used for a simple design. This study also involved fractional factorial design principles. The result showed that the main factors and interactions of the genetic algorithm and stepwise regression were quite different. But the principle was the same because the variables correlated. The genetic algorithm model had a smaller AIC and BIC and all of the main factors and interactions which had chosen were significant on the 0.1%. Therefore genetic algorithm model was chosen although computation time was much longer than stepwise regression.