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Desi Meriana
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Analisis Konsep Pemeliharaan Jalan Terkait Keterbatasan Alokasi Anggaran Di Wilayah Sumbagsel Desi Meriana
Rekayasa : Jurnal Ilmiah Fakultas Teknik Universitas Lampung Vol 16, No 2 (2012): Edisi Agustus 2012
Publisher : UNIVERSITAS LAMPUNG

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Inter Urban Road Management (IRMS) is an integrated software system used to help roadplanners to take data and to plan national and province road maintenance programs. The exampleof IRMS output producing strategies in maintenace handling was in the East Cross of Lampungprovince in Pematang Panggang segment – Sp. Pematang had AADT value of 7,601, AC-WCsurface type, Link Program 2008 of BW(betterment widening), Link Program 2009 of R (routinemaintenance), Link Program 2012 of R (routine maintenance). Handling in 2008 was bettermentwidening from International Roughness Index (IRI) 8.6 into 3.4 (improved road condition) andeconomically the produced investment calculation was NPV/C 154,060,000 (positive). Thecorellation of budget allocation, AADT and road condition was by giving priorities of budgetprograms according to necessity so that the road condition, in this case IRI, would improve andthe AADT value would increase or vice versa. Less budget allocation for road handling causedless proper road conditions. AADT decreased with an assumption that traffic movement wouldchoose better alternative roads.
Assessment for Evaluation of Local Roads Based on Infrastructure Data and Budget Allocation Meriana, Desi; Subagio, Bambang S.; Najid, .
Civil Engineering Journal Vol 11, No 1 (2025): January
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2025-011-01-04

Abstract

Technical criteria are one of the determining factors in calculating the technical index amount of the allocation budget for road infrastructure. The technical criteria include pavement deterioration, bridge condition, road performance, local budget allocation for road capital expenditure, allocation of local budget government for routine maintenance of roads, e-monitoring reporting, and SHP map reporting. Evaluation is required to determine the influence of each of these criteria and highlight the importance of comprehensive and continuous data testing to provide an overview of road infrastructure data and budget allocations. This study aims to analyze the influence of each technical criterion based on infrastructure data and the allocation of funding for local road maintenance in Indonesia. Two regression methods, Multiple Linear Regression with Dummy (MLRD) and Binary Logistic Regression (BLR), were used to identify and evaluate each variable and the potential of the resulting criteria. The results show that pavement deterioration (PD) and road performance (RP) are the criteria that significantly influence the assessment of infrastructure data and are the best models. This finding highlights the need for comprehensive data testing to provide an accurate overview of local road infrastructure from the data submitted by local governments to the central government. Doi: 10.28991/CEJ-2025-011-01-04 Full Text: PDF
Model Kriteria Teknis Dana Alokasi Khusus (DAK) Bidang Jalan Seluruh Indonesia Meriana, Desi; Subagio, Bambang Sugeng; Najid, Najid
Jurnal Teknik Sipil Vol 30 No 3 (2023): Jurnal Teknik Sipil
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jts.2023.30.3.12

Abstract

Abstrak  Salah satu kriteria dalam perhitungan besaran indeks teknis terhadap pengalokasian Dana Alokasi Khusus (DAK) infrastruktur bidang jalan di Indonesia ialah kriteria teknis dengan mempertimbangkan tujuh indikator data teknis yang meliputi data-data kondisi jalan tidak mantap, kondisi jembatan, kinerja jalan, alokasi pemeliharaan rutin jalan, alokasi APBD belanja modal untuk penanganan jalan, nilai pelaporan e-monitoring DAK dan nilai pelaporan dalam kebijakan satu peta/SHP sebagaimana ditetapkan oleh kementerian teknis terkait. Melalui tujuan penelitian ini untuk mengevaluasi keseluruhan indikator data teknis berdasarkan hubungan dan pengaruh masing-masing variabel data teknis, menguji data antar variabel data teknis serta mendapatkan model terbaik dari hasil uji statistik variabel data teknis dengan pengumpulan data sekunder terhadap 506 daerah (32 Provinsi, 393 Kabupaten dan 81 Kota) seluruh Indonesia. Hasil studi menunjukkan bahwa indikator-indikator data teknis masing-masing memiliki hubungan satu sama lain dan kelayakan model regresi secara simultan memiliki pengaruh signifikan terhadap fungsi model yang dibentuk. Penentuan model terbaik yang dipilih model ialah model Kjtm, model Aabmj dan model Npe. Dengan demikian, peranan ketiga indikator tersebut menunjukkan keterkaitan pola penilaian sebagai objek vital dalam meningkatkan pembangunan dan pemeliharaan sektor infrastruktur bidang jalan di daerah.
Pengaruh Kriteria Teknis Dana Alokasi Khusus (DAK) Bidang Jalan Terhadap Jaringan Jalan pada Beberapa Pulau di Indonesia Meriana, Desi; Subagio, Bambang Sugeng; Najid, Najid
Jurnal Teknik Sipil Vol 31 No 3 (2024): Jurnal Teknik Sipil - Edisi Desember
Publisher : Institut Teknologi Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.5614/jts.2024.31.3.6

Abstract

Abstract The study aims to analyze the influence of technical data criteria variables and determine the best model criteria. The criteria analyzed included pavement deterioration, bridge condition, road performance, local budget allocation for road capital expenditure, allocation of local budget government for routine maintenance of roads, e-monitoring reporting, and shp map reporting. This evaluation is needed to highlight the importance of comprehensive data testing to provide an overview of the road infrastructure data used as the basis for Special Allocation Fund (DAK) allocations, considering the different characteristics between islands in Indonesia. The methods used include Multiple Linear Regression with dummy variables and Binary Logistic Regression. The study's results show that Nusa Tenggara and Bali Islands have the best model for explaining the variation of kjtm and npe variables, with better consistency and significance, while Java Island shows a significant influence of Kj, Kij, and Aprj variables on road quality. Keyword: Technical data ctriteria, technical criteria, DAK, regression, road quality
Co-Authors Bambang Sugeng Subagio Najid Najid, Najid Najid, . Subagio, Bambang S.