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All Journal Wacana, Jurnal Sosial dan Humaniora Jurnal SOLMA Jurnal Saintek Lahan Kering Abditani : Jurnal Pengabdian Masyarakat Jurnal Pengabdian UNDIKMA Jurnal Diferensial Leibniz: Jurnal Matematika Jurnal Info Sains : Informatika dan Sains AKM: Aksi Kepada Masyarakat Jurnal Perspektif Pembiayaan dan Pembangunan Daerah Jurnal Pengabdian Masyarakat Bangsa ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat
Febrya Christin Handayani Buan
Universitas Timor
Religion Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Medicine & Pharmacology Nursing Physics Public Health Social Sciences Other

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Inovasi Teknologi Budidaya Sayuran pada Lahan Kering Melalui Pupuk Organik dan Vertikultur dengan Sistem Fertigasi Sumbu di Desa Napan Kabupaten Timor Tengah Utara NTT Sipayung, Boanerges Putra; Tobing, Wilda Lumban; Tefa, Azor Yulianus; Epriliati, Indah; Widyawati, Paini Sri; Laurentinus, Hadi Santoso; Buan, Febrya Christin Handayani; Silla, Misail Epainetus
Jurnal Pengabdian UNDIKMA Vol. 5 No. 1 (2024): February
Publisher : LPPM 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.
ANALISIS EFEKTIVITAS MODEL GEOGRAPHICALLY WEIGHTED QUANTILE REGRESSION (GWQR) DALAM PENANGANAN OUTLIER: DATA SIMULASI TERIDENTIFIKASI HETEROGENITAS SPASIAL Buan, Febrya Christin Handayani; Banunaek, Zofar Agluis; Reza, Widya
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.
Leading sectors, multiplier effects, and economic spillovers among the islands of East Nusa Tenggara Province Taena, Werenfridus; Klau, Anggelina Delviana; Kase, Marce Sherly; Blegur, Fried Markus Alung; Afoan, Felisisima; Buan, Febrya Christin Putri Handayani
Jurnal Perspektif Pembiayaan dan Pembangunan Daerah Vol. 13 No. 4 (2025): Jurnal Perspektif Pembiayaan dan Pembangunan Daerah
Publisher : Program Magister Ilmu Ekonomi Pascasarjana Universitas Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22437/ppd.v13i4.41468

Abstract

Regional economic disparities and fragmented inter-island linkages remain key challenges in East Nusa Tenggara (NTT), one of Indonesia’s archipelagic provinces with diverse resource endowments. This study analyzes the structure and dynamics of NTT’s regional economy by identifying its leading sectors through intersectoral linkage analysis, estimating the magnitudes of multiplier effects, and examining spillover effects across the province’s major islands. The research utilizes the 2016 Input–Output Table of NTT Province and the accumulated Gross Regional Domestic Product (GRDP) data of regencies and cities across the Timor, Flores, and Sumba islands for the 2016–2023 period. Analytical methods include linkage analysis, multiplier effect estimation, and the Vector Error Correction Model (VECM). The results show that agriculture, manufacturing, electricity, trade, and transportation constitute the leading sectors due to their strong forward and backward linkages. At the same time, agriculture and manufacturing also generate the largest multiplier effects. These sectors further create significant inter-island spillover effects, characterized by spread effects between Sumba–Timor, Sumba–Flores, and Timor–Sumba, and backwash effects between Timor–Flores and Flores–Sumba. The findings highlight that strengthening productive linkages in agriculture and manufacturing is vital for enhancing spatial equity and promoting inclusive regional growth. Conceptually, this study contributes to the literature by integrating intersectoral, multiplier, and spillover analyses to explain spatial economic interdependence in archipelagic regions and by offering practical policy implications for fostering sustainable inter-island integration in NTT Province.
Comparison of Geographically Weighted Regression with Adaptive Gaussian and Bisquare Kernel on Open Unemployment Rate in Riau Islands Widya Reza; Buan, Febrya Christin Handayani; Puce Angreni
Leibniz: Jurnal Matematika Vol. 6 No. 01 (2026): Leibniz: Jurnal Matematika
Publisher : Program Studi Matematika - Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas San Pedro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59632/leibniz.v6i01.705

Abstract

Regression analysis is an analysis to determine the relationship and influence of independent variables on the dependent variable. If the data has a spatial relationship, this analysis has the potential to produce a less accurate model because the regression analysis ignores the influence of the location. One of the data indicated to have a spatial relationship is the open unemployment rate. One spatial analysis that can be used to accommodate spatial relationships is the Geographically Weighted Regression (GWR) model. In the GWR model, a spatial weighting matrix is required whose size depends on the proximity between locations. In this study, two spatial weighting matrix were used: Adaptive Gaussian Kernel and Adaptive Bisquare Kernel. Based on the results of the analysis, it is known that the factors influencing the open unemployment rate in the Riau Islands in 2024 at several locations are the human development index, Economic Growth, and Minimum Wages by Regency/City. Based on the R2 value and AIC value, the best spatial weight matrix produced is the Adaptive Bisquare Kernel weighting function with an R2 value of 93.32% and an AIC value of 15.2835.
Co-Authors Afoan, Felisisima Agustinus Yoseph Leu Aldianus Bria Azor Yulianus Tefa Chrisinta, Debora Christofel John Bernhard Sendow Dian Grace Ludji Dian I Y Ribka Stefanie Wongso, Paini Sri Widyawati, Tarsisius D B Fenny A K, Evelyn L W, Dian I Y Fransiskus Yulius Dhewa Kadju Fried Markus Allung Blegur Hadi Santoso Laurentinus Indah Epriliati Januario Resky A. Sekab Josua Sahala Kadha, Faustinus Kase, Marce Sherly Klau, Anggelina Delviana Kolo, Maria Magdalena Kristina Irnasari Naikofi Kristina Kolo Kristoforus Wilson Kia Laurentinus, Hadi Santoso Manek, Seprianus Septian Mata, Meri Halsiana Mata, Meri Helsiana Maulana, Achmad Subchiandi Maure, Osniman Paulina Misail Epainetus Silla Misail Epainetus Silla Nahas, Marianus Nurjannah Nurjannah Paini Sri Widyati Puce Angreni Rahma Fitriani Silla, Misail Epainetus Sipayung, Boanerges Putra Siti Nurmardia Abdussamad Suri, Emanuel Venantius Oskar Nahak Werenfridus Taena Widya Reza Widya Reza Wilda L. Tobing, Wilda Wilda Lumban Tobing Zofar Agluis Banunaek