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Identification of Leading Commodities in North Central Timor Regency, East Nusa Tenggara Using the Location Quotient (LQ), Shift-Share (SS), and Analytical Hierarchy Process (AHP) Methods

Identifikasi Komoditas Unggulan Kabupaten Timor Tengah Utara, Nusa Tenggara Timur dengan Menggunakan Metode Location Qetiont (LQ), Shift-Share (SS), dan Analytical Hierarchy Process (AHP)

Jurnal Sosial Ekonomi Pertanian · Vol. 22 No. 1 (2026) · hlm. 51–65

ISSN
2598-5922, 0853-8395
Terbit
2026-06-03
Penerbit
Hasanuddin University
Bahasa
en
Lisensi
creativecommons.org/licenses/by-nc/4.0

Abstrak

Inggris

The agricultural sector is the backbone of North Central Timor (TTU) Regency's economy, but poverty in the area has not meaningfully declined. This study attempts to answer that by applying three analytical methods, namely Location Quotient (LQ), Shift-Share, and Analytical Hierarchy Process (AHP), to six food crop commodities across three sample villages over the 2020–2024 period. Data were collected from August to December 2025 across three villages: Benus, Sifaniha, and Ponu, with 15 experts sitting in for the AHP sessions. Peanuts, corn, and rice came out as base commodities from the LQ side, with scores of 2.69, 1.51, and 1.08, respectively. Maize was the surprising one: it covers the most farmland in TTU, but its regional share growth was actually negative, down at -1.14. Rice did the opposite and hit 1.89. When the AHP results came in, rice topped the list in all three villages at 0.646. Across every site, experts kept pointing to human resources as the thing holding development back the most. Interestingly, corn, which has long dominated local farming, showed negative regional share growth (-1.14) using Shift-Share, while rice grew by 1.89. Rice was then established as the top priority through AHP, with the highest weight of 0.646 across all sample villages, with human resources identified as the most critical factor needing improvement. This study shows that the commodity with the largest production is not necessarily the most competitive, and that is precisely where using more than one analytical approach makes a difference. Keywords: Leading Commodities; Location Quotient; Shift-Share; Analytical Hierarchy Process; North Central Timor.

Bahasa Indonesia

Sektor pertanian menjadi tulang punggung ekonomi Kabupaten Timor Tengah Utara (TTU), tetapi kemiskinan di wilayah ini belum turun secara berarti. Penelitian ini mencoba menjawab dengan menggunakan tiga metode analisis, yaitu Location Quotient (LQ), Shift-Share, dan Analytical Hierarchy Process (AHP), yang diterapkan pada enam komoditas tanaman pangan di tiga desa sampel selama periode 2020–2024. Penelitian dilaksanakan pada Agustus–Desember 2025 di Desa Benus, Sifaniha, dan Ponu dengan melibatkan 15 responden ahli untuk keperluan AHP. Dari hasil LQ, kacang tanah (2,69), jagung (1,51), dan padi (1,08) tercatat sebagai komoditas basis. Menariknya, jagung yang selama ini mendominasi justru menunjukkan pertumbuhan pangsa wilayah negatif (-1,14) berdasarkan Shift-Share, sementara padi tumbuh positif (1,89). Padi ditetapkan sebagai prioritas utama melalui AHP dengan bobot terbesar 0,646 di seluruh desa sampel, dengan sumber daya manusia sebagai faktor pendukung yang paling perlu dibenahi. Penelitian ini memperlihatkan bahwa komoditas dengan produksi terbesar belum tentu yang paling kompetitif, dan di situlah pentingnya menggunakan lebih dari satu pendekatan analisis. Kata Kunci: Komoditas Unggulan; Location Quotient; Shift-Share; Analytical Hierarchy Process; Timor Tengah Utara.

Kata kunci

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  • National Nuclear Energy Agency of Indonesia
  • Poltekkes Kemenkes Surabaya
  • University of Indonesia
  • Padjadjaran University
  • Indonesian Institute of Sciences
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
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Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Naurah AbidahAfiliasi tidak diketahui1
Ngadino NgadinoPoltekkes Kemenkes Surabaya1
Suprijandani SuprijandaniAfiliasi tidak diketahui1
Dwi Setyo AgusAfiliasi tidak diketahui1
Nur'aeni Nur'aeniAfiliasi tidak diketahui1
Adi Indradi WazdiAfiliasi tidak diketahui1
Asep Abdul HalimAfiliasi tidak diketahui1
Abdul MutalibPadjadjaran University1
Martalena RamliNational Nuclear Energy Agency of Indonesia1
L.B.S. KardonoIndonesian Institute of Sciences1
Arry YanuarUniversity of Indonesia1
Dede KurniasihNational Nuclear Energy Agency of Indonesia1
Anung PujiyantoNational Nuclear Energy Agency of Indonesia1
Rien RitawidyaNational Nuclear Energy Agency of Indonesia1
Mujinah MujinahNational Nuclear Energy Agency of Indonesia1
Witarti WitartiNational Nuclear Energy Agency of Indonesia1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/jsep/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc) 
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	<dc:title xml:lang="en">Identification of Leading Commodities in North Central Timor Regency, East Nusa Tenggara Using the Location Quotient (LQ), Shift-Share (SS), and Analytical Hierarchy Process (AHP) Methods</dc:title>
	<dc:title xml:lang="id">Identifikasi Komoditas Unggulan Kabupaten Timor Tengah Utara, Nusa Tenggara Timur dengan Menggunakan Metode Location Qetiont (LQ), Shift-Share (SS), dan Analytical Hierarchy Process (AHP)</dc:title>
	<dc:creator xml:lang="en">Rizkia, Balqis</dc:creator>
	<dc:creator xml:lang="en">Wijaya, Nasywa Azalia</dc:creator>
	<dc:creator xml:lang="en">Setiawan, Setiawan</dc:creator>
	<dc:creator xml:lang="en">Maksum, Muhammad Raikmal</dc:creator>
	<dc:creator xml:lang="en">Juan, Muhammad</dc:creator>
	<dc:creator xml:lang="en">Ginting , Praja Razaqul‘ Ilmi</dc:creator>
	<dc:creator xml:lang="id">Rizkia, Balqis</dc:creator>
	<dc:creator xml:lang="id">Wijaya, Nasywa Azalia</dc:creator>
	<dc:creator xml:lang="id">Setiawan, Setiawan</dc:creator>
	<dc:creator xml:lang="id">Maksum, Muhammad Raikmal</dc:creator>
	<dc:creator xml:lang="id">Juan, Muhammad</dc:creator>
	<dc:creator xml:lang="id">Ginting , Praja Razaqul‘ Ilmi</dc:creator>
	<dc:subject xml:lang="id">Komoditas Pertanian Unggulan</dc:subject>
	<dc:subject xml:lang="id">Komoditas Unggulan; Subsektor Perkebunan; Location Quotient;  Dynamic Location Quotient; Shift Share</dc:subject>
	<dc:subject xml:lang="id">keunggulan komperatif</dc:subject>
	<dc:subject xml:lang="id">Analytical Hierarchy Process (AHP)</dc:subject>
	<dc:subject xml:lang="en">: Leading Sector</dc:subject>
	<dc:subject xml:lang="en">,covid-19</dc:subject>
	<dc:subject xml:lang="en">Leading Agricultural Commodities</dc:subject>
	<dc:subject xml:lang="en">Leading Commodities</dc:subject>
	<dc:subject xml:lang="en">Location Quotient (LQ)</dc:subject>
	<dc:subject xml:lang="en">Shift Share (SS)</dc:subject>
	<dc:subject xml:lang="en">AHP</dc:subject>
	<dc:description xml:lang="en">The agricultural sector is the backbone of North Central Timor (TTU) Regency's economy, but poverty in the area has not meaningfully declined. This study attempts to answer that by applying three analytical methods, namely Location Quotient (LQ), Shift-Share, and Analytical Hierarchy Process (AHP), to six food crop commodities across three sample villages over the 2020–2024 period. Data were collected from August to December 2025 across three villages: Benus, Sifaniha, and Ponu, with 15 experts sitting in for the AHP sessions. Peanuts, corn, and rice came out as base commodities from the LQ side, with scores of 2.69, 1.51, and 1.08, respectively. Maize was the surprising one: it covers the most farmland in TTU, but its regional share growth was actually negative, down at -1.14. Rice did the opposite and hit 1.89. When the AHP results came in, rice topped the list in all three villages at 0.646. Across every site, experts kept pointing to human resources as the thing holding development back the most. Interestingly, corn, which has long dominated local farming, showed negative regional share growth (-1.14) using Shift-Share, while rice grew by 1.89. Rice was then established as the top priority through AHP, with the highest weight of 0.646 across all sample villages, with human resources identified as the most critical factor needing improvement. This study shows that the commodity with the largest production is not necessarily the most competitive, and that is precisely where using more than one analytical approach makes a difference.
&amp;nbsp;
Keywords: &amp;nbsp;Leading Commodities; Location Quotient; Shift-Share; Analytical Hierarchy Process; North Central Timor.</dc:description>
	<dc:description xml:lang="id">Sektor pertanian menjadi tulang punggung ekonomi Kabupaten Timor Tengah Utara (TTU), tetapi kemiskinan di wilayah ini belum turun secara berarti. Penelitian ini mencoba menjawab dengan menggunakan tiga metode analisis, yaitu Location Quotient (LQ), Shift-Share, dan Analytical Hierarchy Process (AHP), yang diterapkan pada enam komoditas tanaman pangan di tiga desa sampel selama periode 2020–2024. Penelitian dilaksanakan pada Agustus–Desember 2025 di Desa Benus, Sifaniha, dan Ponu dengan melibatkan 15 responden ahli untuk keperluan AHP. Dari hasil LQ, kacang tanah (2,69), jagung (1,51), dan padi (1,08) tercatat sebagai komoditas basis. Menariknya, jagung yang selama ini mendominasi justru menunjukkan pertumbuhan pangsa wilayah negatif (-1,14) berdasarkan Shift-Share, sementara padi tumbuh positif (1,89). Padi ditetapkan sebagai prioritas utama melalui AHP dengan bobot terbesar 0,646 di seluruh desa sampel, dengan sumber daya manusia sebagai faktor pendukung yang paling perlu dibenahi. Penelitian ini memperlihatkan bahwa komoditas dengan produksi terbesar belum tentu yang paling kompetitif, dan di situlah pentingnya menggunakan lebih dari satu pendekatan analisis.
&amp;nbsp;
Kata Kunci: Komoditas Unggulan; Location Quotient; Shift-Share; Analytical Hierarchy Process; Timor Tengah Utara.</dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2026-06-03</dc:date>
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	<dc:source xml:lang="en">Jurnal Sosial Ekonomi Pertanian; Vol. 22 No. 1 (2026): February, 2026; 51-65</dc:source>
	<dc:source xml:lang="id">Jurnal Sosial Ekonomi Pertanian; Vol 22 No 1 (2026): January, 2026; 51-65</dc:source>
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