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STRATEGI PENGUATAN INFRASTRUKTUR DAN PENGEMBANGAN KAWASAN INDUSTRI UNTUK MENDORONG INVESTASI DI KABUPATEN INDRAGIRI HILIR

2025· article· en· W4409985855 on OpenAlex
Apridoni Apridoni

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSelodang Mayang Jurnal Ilmiah Badan Perencanaan Pembangunan Daerah Kabupaten Indragiri Hilir · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Growth and Fiscal Policies
Canadian institutionsEncana (Canada)
Fundersnot available
KeywordsBusinessBusiness administration

Abstract

fetched live from OpenAlex

The economic growth of Indragiri Hilir Regency in 2024 was recorded at 3.10%, while the regional investment growth in 2024 reached 6.79%, showing an improvement compared to -0.56% in 2023. However, this increase in investment realization has not yet had a significant impact on the economic growth of Indragiri Hilir Regency. This is due to several key issues, including dependence on the agricultural and processing industries, a decline in agricultural production, and limitations in infrastructure and accessibility. Using the USG method (Urgency, Seriousness, Growth), the main issue addressed in this policy paper is Infrastructure and Accessibility Constraints. The problem statement identified is:"The limitations in infrastructure and accessibility in Indragiri Hilir Regency are caused by the lack of investment-supporting infrastructure, which restricts the development of industrial zones in the region. This, in turn, hampers investment flows, increases logistics costs, and slows down regional economic growth." To address these challenges, the Indragiri Hilir Regency Government must take strategic steps, including: Development of Economic and Industrial Zones, Strengthening Physical Infrastructure, Digitalization of Economic Infrastructure, Collaboration and Partnerships, Pro-Investment Regulations and Policies. As these steps cannot be implemented simultaneously, they are divided into three programs: Short-term program, Medium-term program, Long-term program. Pertumbuhan ekonomi Kabupaten Indragiri Hilir Tahun 2024 sebesar 3,10%, sementara pertumbuhan investasi daerah pada tahun 2024 sebesar 6,79% lebih baik dari Tahun 2023 sebesar -0,56%. Peningkatan pertumbuhan realisasi investasi tersebut belum berdampak besar pada pertumbuhan ekonomi di Kabupaten Indragiri Hilir, hal tersebut terjadi dikarenakan adanya masalah yaitu Ketergantungan pada Sektor Pertanian dan Industri Pengolahan, Penurunan Produksi Sektor Pertanian, Keterbatasan Infrastruktur dan Aksesibilitas. Dengan menggunakan metoda USG (Urgency, Seriousness, Growth), permasalahan yang akan dibahas dalam makalah kebijakan ini yaitu Keterbatasan Infrastruktur dan Aksesibilitas dengan problem statement Keterbatasan infrastruktur dan aksesibilitas di Kabupaten Indragiri Hilir dikarenakan minimnya infrastruktur pendukung investasi yang menyebabkan terbatasnya kawasan industri di Kabupaten Indragiri Hilir sehingga menghambat arus investasi, meningkatkan biaya logistik, dan memperlambat pertumbuhan ekonomi daerah. Langkah yang harus dilakukan oleh Pemerintah Daerah Kabupaten Indragiri Hilir yaitu Pengembangan Kawasan Ekonomi dan Industri, Penguatan Infrastruktur Fisik, Digitalisasi Infrastruktur Ekonomi, Kolaborasi dan Kemitraan, Regulasi dan Kebijakan Pro-Investasi.Langkah tersebut tidak dapat dilaksanakan secara serentak oleh karenanya dibagi dalam 3 program, yaitu program jangka pendek, program jangka menengah, dan program jangka panjang.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.137
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.232
Teacher spread0.208 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it