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All Journal Wacana, Jurnal Sosial dan Humaniora Jurnal Saintek Lahan Kering Jurnal Pengabdian UNDIKMA Jurnal Diferensial Jurnal Info Sains : Informatika dan Sains AKM: Aksi Kepada Masyarakat ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat
Febrya Christin Handayani Buan
Fakultas Pertanian, Universitas Timor
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Pemetaan Hasil Prediksi Nilai Produk Domestik Regional Bruto (PDRB) Provinsi Nusa Tenggara Timur Dengan Pendekatan Spasial Panel Dinamis Febrya Christin Handayani Buan; Dian Grace Ludji
Saintek Lahan Kering Vol 6 No 1 (2023): JSLK JUNI 2023
Publisher : Fakultas Pertanian, Universitas Timor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32938/slk.v6i1.2247

Abstract

The Province of East Nusa Tenggara (NTT) is categorized as a lagging region based on the value of Gross Regional Domestic Product (GRDP) and belongs to the lowest group at the national level. This underdevelopment has become a special concern for the government in every work program. This condition is an appropriate reference for periodic analysis in a certain time series. The analysis is carried out in various aspects that are dynamic by paying attention to spatial conditions, because each region has different characteristics. One of the main concerns is the value of GRDP, which is a measure of the welfare of a region. The estimation of the regency / city GRDP value model in NTT Province has been carried out, so the existing model is then used for prediction analysis based on updated real time data which is then mapped to see the distribution of GRDP values as a description of actual conditions. The prediction process is carried out using a method that is able to accommodate the characteristics of spatial data and a combination of time series and cross section data, so the appropriate method is dynamic panel spatial. The prediction results obtained the accuracy value of the Mean Absolute Percentage Error (MAPE) criterion of 7.47%, which means less than 20%, so it can be concluded that the dynamic panel spatial models is the right method to be used to forecasting the value of district/city GRDP in NTT Province for the next period of time. The prediction results obtained by the distribution of GRDP values are divided into four categories, namely low, medium, high and very high, which are marked by different colors on the mapping.
Estimating Gross Regional Domestic Product (GRDP) District/City in East Nusa Tenggara with Spatial Dynamic Panel Data Febrya Christin Handayani Buan; Rahma Fitriani; Nurjannah Nurjannah
Wacana Journal of Social and Humanity Studies Vol. 24 No. 4 (2021)
Publisher : Sekolah Pascasarjana Universitas Brawijaya

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Abstract

East Nusa Tenggara Province has the lowest Gross Regional Domestic Product (GRDP) value in Indonesia. The local governments try to increase the value of GRDP by providing capital for productive businesses, increasing human resources, and managing the economic sector in each district/city. The GRDP value is influenced by dynamic economic factors. In a functional region, GRDP values in a region are correlated with neighboring regions. Regions that have homogeneous characteristics will tend to have the same economic condition, therefore indicating there is spatial dependence. Therefore, to know the pattern of GRDP value should be doing periode observed use panel data. Model panel data that can accommodate the effect of each factor on GRDP value has dynamic and dependence spatial, the model can be more useful to capture them. This study will apply the model to the cast of GRDP value in the district/city of East Nusa Tenggara Province with economic factors affecting GRDP value is labor (L), population (P), investment (Inv), and locally generated revenue (LGR). The results of variable estimated the found that significantly affect the GRDP values are investment (Inv) and locally generated revenue (LGR), furthermore GRDP value affect by GRDP value in the previous period and GRDP value by neighbor regions.
Pembuatan Pupuk Organik dan Biochar di Kelompok Tani Rajawali Desa Halibasar Kabupaten Malaka Febrya Christin Handayani Buan; Azor Yulianus Tefa; Zofar Agluis Banunaek; Faustinus Kadha; Meri Helsiana Mata; Emanuel Suri; Marianus Nahas
ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 2 (2023): ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat
Publisher : UPT Publikasi dan Penerbitan Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/abdiunisap.v1i2.182

Abstract

Peralihan penggunaan pupuk anorganik ke organik yang ramah lingkungan terus diupayakan dengan pengoptimalan potensi petani di Kelompok Tani Rajawali, Desa Halibasar Kabupaten Malaka. Peralihan diupayakan dengan memanfaatkan limbah organik pertanian/peternakan di sekitar lingkungan pertanian untuk pembuatan pupuk kompos-biochar. Selama ini, penggunaan pupuk organik yang minim dikarenakan kurangnya sosialisasi dan rendahnya pengetahuan petani mengenai bahaya jangka panjang penggunaan pupuk anorganik. Permasalahan tersebut menjadi dasar untuk melakukan kegiatan pengabdian ini. Pengabdian dilaksanakan pada bulan Juni – Juli 2022, metode pengabdian yang digunakan adalah participatory action research yang mana seluruh anggota kelompok tani dan tim pengabdi terlibat langsung dalam setiap tahapan. Hasil pengabdian diperoleh bahwa anggota kelompok tani telah memahami dengan baik dampak jangka panjang perbandingan penggunaan pupuk anorganik dan organik, sehingga peralihan penggunaan pupuk organik siap diaplikasikan secara bertahap selain itu, anggota kelompok tani telah menguasai tahapan-tahapan pembuatan pupuk kompos-biochar yang dapat dilakukan secara mandiri. Penggunaan pupuk organik menjadi pendekatan yang berkelanjutan dalam meningkatkan produktivitas pertanian berbasis ramah lingkungan dengan memanfaatkan limbah pertanian/peternakan di lingkungan Halibasar.
Inovasi Teknologi Budidaya Sayuran pada Lahan Kering Melalui Pupuk Organik dan Vertikultur dengan Sistem Fertigasi Sumbu di Desa Napan Kabupaten Timor Tengah Utara NTT Boanerges Putra Sipayung; Wilda Lumban Tobing; Azor Yulianus Tefa; Indah Epriliati; Paini Sri Widyawati; Hadi Santoso Laurentinus; Febrya Christin Handayani Buan; Misail Epainetus Silla
Jurnal Pengabdian UNDIKMA Vol 5, No 1 (2024): February
Publisher : Universitas Pendidikan Mandalika (UNDIKMA)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33394/jpu.v5i1.10305

Abstract

This community service aims to increase the innovation of farmer groups in implementing vegetable cultivation technology in dry land through organic fertilizer and verticulture with a wick fertigation system. The method applied in this service uses counseling and training (learning by doing). The implementation was carried out on the agricultural land of the Nunuh Naek and Taruna Tani Farmer Group in October – December 2023. This activity involved the Napan Village Government and the North Bikomi District Agricultural Extension Officer to support the partner team together with the Implementing Team (University of Timor) and the Accompanying Team (Widya Catholic University Mandala Surabaya) to develop regional development programs in accordance with the relationship between Kosabangsa and RPJMD activities. The results of the service concluded that there was an increase in the ability of farmer groups to independently design verticulture with a wick fertigation system as an innovation in cultivating vegetables on dry land; able to apply Ribon Atom I as a soil amendment as well as adding nutrients to plants; and increasing the ability of partners in agribusiness management of horticultural farming.
Comparison Of Radial Basis Function Neural Networks (RBFNN) And Autoregressive Moving Average (ARMA) Algorithms On Inflation Rate Prediction Models In Batam City Widya Reza; Febrya Christin Handayani Buan; Siti Nurmardia Abdussamad
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 02 (2024): Informatika dan Sains , Edition, June 2024
Publisher : SEAN Institute

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Abstract

The inflation rate in the city of Batam from January 2023 to April 2024 continues to fluctuate, so an accurate prediction model is needed so that inflation control can be carried out optimally. In this study, we conducted a comparative analysis between the Radial Basis Function Neural Network (RBFNN) method and the Autoregressive Moving Average (ARMA) model in predicting the inflation rate. The data used is historical data on the inflation rate of Batam City from January 2009 to April 2024. The results of the analysis show that the RBFN method with an MSE value of 0.239 is able to provide a more accurate prediction compared to the ARMA model (2.3) with an MSE value of 0.246 in predicting the inflation rate in Batam City. This is due to the RBFN's ability to capture complex and non-linear patterns contained in inflation data. In addition, the performance of RBFNN is also affected by the number of neurons and the basis function used. Thus, the results of this study show that the RBFN method can be an effective and efficient alternative in predicting the inflation rate in Batam City.
Pembuatan Silase Di Peternakan Biara Novisiat Clarentian Desa Benlutu Kecamatan Batu Putih Kabupaten Timor Tengah Selatan Josua Sahala; Debora Chrisinta; Fransiskus Yulius Dhewa Kadju; Aldianus Bria; Januario Resky A. Sekab; Venantius Oskar Nahak; Agustinus Yoseph Leu; Febrya Christin Handayani Buan; Christofel John Bernhard Sendow
AKM Vol 5 No 1 (2024): AKM : Aksi Kepada Masyarakat Jurnal Pengabdian Kepada Masyarakat - Juli 2024
Publisher : Sekolah Tinggi Ekonomi dan Bisnis Syariah (STEBIS) Indo Global Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36908/akm.v5i1.1041

Abstract

Pakan menjadi hal yang penting dalam usaha peternakan. Ketersediaan pakan menjadi faktor penentu dalam keberlangsungan usaha yang dijalankan. Kondisi hijauan yang melimpah saat musim hujan harus dioptimalkan. Banyaknya rumput raja yang berada didesa perlu pengolahan yang tepat agar bermanfaat supaya bisa diberikan kepada ternak guna keberlangsungan akan kebutuhan pakan setiap hari. Adanya penanganan teknologi tepat guna yang diberikan guna memanfaatkan banyaknya ketersediaan pakan hijauan sehingga saat memasuki musim kemarau ketersediaan pakan bagi ternak cukup. Pembuatan silase dari rumput raja dengan campuran EM4 dan dedak padi dapat dijadikan sebagai upaya dalam penanggulangan masalah kekurangan pakan saat musim kemarau. Pelatihan diberikan terhadap pemilik peternakan, pegawai, mahasiswa Universitas Timor dan peternak yang berada disekitar Peternakan Biara Novisiat Clarentian Desa Benlutu Kecamatan Batu Putih Kabupaten Timor Tengah Selatan sebagai upaya dalam pemberdayaan masyarakat teknologi tepat guna dengan memanfaatkan ketersediaan pakan hijauan disekitar lokasi peternakan
ANALISIS EFEKTIVITAS MODEL GEOGRAPHICALLY WEIGHTED QUANTILE REGRESSION (GWQR) DALAM PENANGANAN OUTLIER: DATA SIMULASI TERIDENTIFIKASI HETEROGENITAS SPASIAL Febrya Christin Handayani Buan; Zofar Agluis Banunaek; Widya Reza
JURNAL DIFERENSIAL Vol 6 No 1 (2024): April 2024
Publisher : Program Studi Matematika, Universitas Nusa Cendana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35508/jd.v6i1.12782

Abstract

Classical quantile regression is global generalized parameter estimation results, spatial heterogeneity conditions cannot be captured by this model. The use of local models with spatial attribute can accommodate the characteristics between observation locations. The local quantile regression model is called the Geographically Weighted Quantile Regression (GWQR) model. Further testing of the effectiveness of this model is required by utilizing simulation data. This study uses simulated data generated with sample sizes uniformly distributed with intervals (0,1) contaminated with 5%, 10%, 15% outliers, with predictor variables (x=4) (β1,β2,β3,β4), and quantile sizes of 0.05, 0.25, 0.50, 0.75 and 0.95. Model effectiveness is measured based on Root Mean Square Error (RMSE). From the test, GWQR model can overcome the problem of outliers in simulated data up to the amount of outlier contamination of 15%, and spatial heterogeneity. The RMSE value is getting closer to 0 as the sample size and outliers increase. The test results explain that the 0.95 quantile produces the best parameter estimates compared to other quantiles.
Co-Authors Agustinus Yoseph Leu Aldianus Bria Azor Yulianus Tefa Christofel John Bernhard Sendow Debora Chrisinta Dian Grace Ludji Dian I Y Ribka Stefanie Wongso, Paini Sri Widyawati, Tarsisius D B Fenny A K, Evelyn L W, Dian I Y Emanuel Suri Faustinus Kadha Hadi Santoso Laurentinus Indah Epriliati Januario Resky A. Sekab Josua Sahala Kadju, Fransiskus Yulius Dhewa Marianus Nahas Mata, Meri Helsiana Misail Epainetus Silla Nurjannah Nurjannah Rahma Fitriani Sipayung, Boanerges Putra Siti Nurmardia Abdussamad Venantius Oskar Nahak Widya Reza Widya Reza Wilda Lumban Tobing Zofar Agluis Banunaek Zofar Agluis Banunaek