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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.