DOI: https://doi.org/10.14710/jati.19.1.46-57

MEMBANGUN INDEKS KOMPOSIT DALAM MENGEVALUASI EFEKTIVITAS KEBIJAKAN SNI WAJIB: LITERATURE REVIEW

*Ery Vita Pramumardani  -  Universitas Diponegoro, Indonesia
Arfan Bachtiar  -  Universitas Diponegoro, Indonesia
Ary Arvianto  -  Universitas Diponegoro, Indonesia

Citation Format:
Abstract

Masih ditemukannya produk yang tidak sesuai standar yang beredar di pasar menjadi dasar perlunya pengukuran efektivitas dari kebijakan SNI wajib di Indonesia. Indeks komposit merupakan salah satu metode yang banyak digunakan untuk menganalisis kebijakan public dan dapat mempermudah dalam monitoring dan kaji ulang kebijakan secara berkala. Penelitian ini bertujuan untuk memberikan informasi yang diharapkan dapat digunakan sebagai rujukan dalam penelitian pengukuran indeks efektivitas kebijakan SNI wajib, dengan cara melakukan analisis bibliometrik untuk mengetahui tren penelitian saat ini, serta melakukan Systematic Literature Review untuk mengetahui metode dan indikator apa saja yang dapat digunakan. Hasilnya diketahui walaupun terdapat peningkatan tren penelitian 10 tahun terakhir pada jurnal internasional, namun tidak ditemukan penelitian pada bidang standar produk dalam tren tersebut melainkan lebih banyak ditemukan pada kebijakan yang bersifat lingkungan seperti iklim, polusi, sustainability, dan sejenisnya. Sementara itu metode yang paling banyak digunakan adalah Principal Component Analysis (PCA), Benefit of Doubt (BoD), equal weight, entropy weight, dan Analytic Hierarchy Process (AHP). Indikator efektivitas yang paling sering digunakan adalah penurunan impor dan kesesuaian hasil uji pengawasan pasar.

 

Abstract

[Building A Composite Index In Evaluating The Effectiveness of Mandatory SNI Policies: Literature Review] The discovery of products that do not comply with standards circulating on the market is the basis for measuring the effectiveness of the mandatory SNI policy in Indonesia. The composite index is a method that is widely used to analyze public policy and can ease to monitor and review policies periodically. This research aims to provide information that is expected to be used as a reference in research measuring the effectiveness index of mandatory SNI policies, by conducting bibliometric analysis to determine current research trends, as well as conducting a Systematic Literature Review to find out what methods and indicators can be used. The results show that although there has been an increase in research trends in the last 10 years in international journals, there was no research found in the field of product standards in this trend, but more was found in environmental policies such as climate, pollution, sustainability, and the like. Meanwhile, the methods most widely used are Principal Component Analysis (PCA), Benefit of Doubt (BoD), equal weight, entropy weight, and Analytic Hierarchy Process (AHP). The most frequently used indicators of effectiveness are the reduction in imports and the suitability of market surveillance test results.

Keywords: composite index; policy effectiveness; product standards; effectiveness indicators; weighting method

Fulltext View|Download
Keywords: indeks komposit; efektivitas kebijakan; standar produk; indikator efektivitas; metode pembobotan

Article Metrics:

Article Info
Section: Research Articles
Language : ID
Recent articles
IMPLEMENTASI METODE HIRA DAN HAZOP UNTUK MEMINIMALISIR POTENSI BAHAYA KESEHATAN DAN KESELAMATAN KERJA PADA INDUSTRI FURNITUR EVALUASI BASIS TARIF DASAR JASA 3D PRINTING DENGAN SIMULASI ANYLOGIC MEMBANGUN INDEKS KOMPOSIT DALAM MENGEVALUASI EFEKTIVITAS KEBIJAKAN SNI WAJIB: LITERATURE REVIEW REUSE OF SPUN PILE PRODUCTION WASTE FOR PAVING BLOCK DEVELOPMENT BY TAGUCHI METHOD More recent articles
Most cited articles
PERANCANGAN PEMENUHAN PERMINTAAN PASOKAN GULA RAFINASI DENGAN METODE WAGNER WHITIN ANALISIS PENGARUH TEMPERATUR LINGKUNGAN, BERAT BADAN DAN TINGKAT BEBAN KERJA TERHADAP DENYUT NADI PEKERJA GROUND HANDLING BANDARA SIMULASI MODEL DINAMIK PENGANGKUTAN CRUDE PALM OIL (CPO) DI PT. XYZ UNTUK MEMINIMALKAN BIAYA TRANSPORTASI PENGADAAN BAHAN ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN VIA INTERNET PADA TOKO ONLINE PERHITUNGAN NILAI OVERALL EQUIPMENT EFFECTIVENESS MESIN MIXER BANBURY 270 L DAN MESIN BIAS CUTTING LINE 2 (STUDI KASUS PT. SURYARAYA RUBBERINDO INDUSTRIES) More cited articles
  1. Atkinson, L. Z., & Cipriani, A. (2018). How to carry out a literature search for a systematic review: a practical guide. BJPsych Advances, 24(2), 74–82. https://doi.org/10.1192/bja.2017.3
  2. Bacchini, F., Baldazzi, B., & Di Biagio, L. (2020). The evolution of composite indices of well-being: An application to Italy. Ecological Indicators, 117. https://doi.org/10.1016/j.ecolind.2020.106603
  3. Barnes, A. P., & Thomson, S. G. (2014). Measuring progress towards sustainable intensification: How far can secondary data go? Ecological Indicators, 36, 213–220. https://doi.org/10.1016/j.ecolind.2013.07.001
  4. Czudaj, R. L. (2020). Is the negative interest rate policy effective? Journal of Economic Behavior and Organization, 174, 75–86. https://doi.org/10.1016/j.jebo.2020.03.031
  5. de Castro-Pardo, M., Martín Martín, J. M., & Azevedo, J. C. (2022). A new composite indicator to assess and monitor performance and drawbacks of the implementation of Aichi Biodiversity Targets. Ecological Economics, 201. https://doi.org/10.1016/j.ecolecon.2022.107553
  6. Di Tommaso, M. R., Prodi, E., Pollio, C., & Barbieri, E. (2023). Conceptualizing and measuring “industry resilience”: Composite indicators for postshock industrial policy decision-making. Socio-Economic Planning Sciences, 85. https://doi.org/10.1016/j.seps.2022.101448
  7. Dolge, K., Barisa, A., Kirsanovs, V., & Blumberga, D. (2023). The status quo of the EU transport sector: Cross-country indicator-based comparison and policy evaluation. Applied Energy, 334. https://doi.org/10.1016/j.apenergy.2023.120700
  8. Dolge, K., & Blumberga, D. (2021). Composite risk index for designing smart climate and energy policies. Environmental and Sustainability Indicators, 12. https://doi.org/10.1016/j.indic.2021.100159
  9. D’Orazio, P., & Thole, S. (2022). Climate-related financial policy index: A composite index to compare the engagement in green financial policymaking at the global level. Ecological Indicators, 14(109065). https://doi.org/https://doi.org/10/1016/j.ecolind.2022.109065
  10. Epule, T. E., Chehbouni, A., Dhiba, D., Moto, M. W., & Peng, C. (2021). African climate change policy performance index. Environmental and Sustainability Indicators, 12. https://doi.org/10.1016/j.indic.2021.100163
  11. Fare, R., Karagiannis, G., Hasannasab, M., & Margatris, D. (2019). A benefit-of-the-doubt model with reverse indicators. European Journal of Operation Research, 278, 394–400. https://doi.org/https://doi.org/10.1016/j.ejor.2019.02.009
  12. Gan, X., Fernandez, I. C., Guo, J., Wilson, M., Zhao, Y., Zhou, B., & Wu, J. (2017). When to use what: Methods for weighting and aggregating sustainability indicators. In Ecological Indicators (Vol. 81, pp. 491–502). Elsevier B.V. https://doi.org/10.1016/j.ecolind.2017.05.068
  13. Gao, P., Wang, Y., Wang, H., Song, C., Ye, S., & Wang, X. (2023). A Pareto front-based approach for constructing composite index of sustainability without weights: A comparative study of implementations. Ecological Indicators, 155. https://doi.org/10.1016/j.ecolind.2023.110919
  14. Gong, C., Gong, N., Qi, R., & Yu, S. (2020). Assessment of natural gas supply security in Asia Pacific: Composite indicators with compromise Benefit-of-the-Doubt weights. Resources Policy, 67. https://doi.org/10.1016/j.resourpol.2020.101671
  15. Guo, J., & Sun, Z. (2023). How does manufacturing agglomeration affect high-quality economic development in China? Economic Analysis and Policy, 78, 673–691. https://doi.org/10.1016/j.eap.2023.04.007
  16. He, B., Gilligan, J. M., & Camp, J. V. (2023). An index of social fabric for assessing community vulnerability to natural hazards: Model development and analysis of uncertainty and sensitivity. International Journal of Disaster Risk Reduction, 96. https://doi.org/10.1016/j.ijdrr.2023.103913
  17. Herjanto, E. (2011). PEMBERLAKUAN SNI SECARA WAJIB DI SEKTOR INDUSTRI: EFEKTIFITAS DAN BERBAGAI ASPEK DALAM PENERAPANNYA. Jurnal Riset Industri, V(2), 121–130
  18. Kaba, E. K., & Assaf, G. J. (2019). Roads funding priority index for Sub-Saharan Africa using principal components analysis. Case Studies on Transport Policy, 7(4), 732–748. https://doi.org/10.1016/j.cstp.2019.09.002
  19. Kim, J., & Jung, T. Y. (2023). Assessing health sector climate vulnerability in 226 local entities of South Korea based on principal component analysis. Urban Climate, 49. https://doi.org/10.1016/j.uclim.2023.101521
  20. Kumar, R., Singh, S., Bilga, P. S., Jatin, Singh, J., Singh, S., Scutaru, M. L., & Pruncu, C. I. (2021). Revealing the benefits of entropy weights method for multi-objective optimization in machining operations: A critical review. In Journal of Materials Research and Technology (Vol. 10, pp. 1471–1492). Elsevier Editora Ltda. https://doi.org/10.1016/j.jmrt.2020.12.114
  21. Kutty, A. A., Kucukvar, M., Onat, N. C., Ayvaz, B., & Abdella, G. M. (2023). Measuring sustainability, resilience and livability performance of European smart cities: A novel fuzzy expert-based multi-criteria decision support model. Cities, 137. https://doi.org/10.1016/j.cities.2023.104293
  22. Kwatra, S., Kumar, A., & Sharma, P. (2020). A critical review of studies related to construction and computation of Sustainable Development Indices. In Ecological Indicators (Vol. 112). Elsevier B.V. https://doi.org/10.1016/j.ecolind.2019.106061
  23. Lejiu, A., Masjaya, & Irawan, B. (2014). Evaluasi Kebijakan Pembangunan Transmigrasi Di Kabupaten Mahakam Ulu (Studi Pada Kecamatan Long Hubung Kabupaten Mahakam Ulu). 2(4)
  24. Lemstra, W., Voogt, B., & Van Gorp, N. (2015). Measuring broadband in Europe: Development of a market model and performance index using structural equations modelling. Telecommunications Policy, 39(3–4), 253–268. https://doi.org/10.1016/j.telpol.2015.01.006
  25. Liu, L., Zhang, T., Avrin, A. P., & Wang, X. (2020). Is China’s industrial policy effective? An empirical study of the new energy vehicles industry. Technology in Society, 63. https://doi.org/10.1016/j.techsoc.2020.101356
  26. Liu, T. Le, Song, Q. J., LU, J., & Qi, Y. (2021). An integrated approach to evaluating the coupling coordination degree between low-carbon development and air quality in Chinese cities. Advances in Climate Change Research, 12(5), 710–722. https://doi.org/10.1016/j.accre.2021.08.001
  27. Massijaya, A., Sumaedi, S., Yarmen, M., Rakhmawati, T., Widianti, T., Gede Yudha Bakti, I., Azwar Massijaya, M., & Widianti dan Gede Yudha Bakti Pusat Penelitian Sistem Mutu dan Teknologi Pengujian, T. I. (2015). Pemilihan SNI Wajib Sebagai Objek Penelitian dengan Metode Analytic Hierarchy Process (AHP). Standardisasi, 17, 117–128
  28. Mengist, W., Soromessa, T., & Legese, G. (2020). Ecosystem services research in mountainous regions: A systematic literature review on current knowledge and research gaps. In Science of the Total Environment (Vol. 702). Elsevier B.V. https://doi.org/10.1016/j.scitotenv.2019.134581
  29. Muscillo, A., Re, S., Gambacorta, S., Ferrara, G., Tagliafierro, N., Borello, E., Rubino, A., & Facchini, A. (2023). An open data index to assess the green transition - A study on all Italian municipalities. Ecological Economics, 212. https://doi.org/10.1016/j.ecolecon.2023.107924
  30. Nhamo, L., Mabhaudhi, T., Mpandeli, S., Dickens, C., Nhemachena, C., Senzanje, A., Naidoo, D., Liphadzi, S., & Modi, A. T. (2020). An integrative analytical model for the water-energy-food nexus: South Africa case study. Environmental Science and Policy, 109, 15–24. https://doi.org/10.1016/j.envsci.2020.04.010
  31. Nugroho, R. (2003). Kebijakan Publik Formulasi, Implementasi dan Evaluasi. PT. Elex Media Komputindo
  32. Núñez-Rocha, T., & Martínez-Zarzoso, I. (2019). Are international environmental policies effective? The case of the Rotterdam and the Stockholm Conventions. Economic Modelling, 81, 480–502. https://doi.org/10.1016/j.econmod.2018.04.013
  33. OECD. (2008). Handbook on Constructing Composite Indicators: Methodology and User Guide. https://doi.org/https://doi.org/10.1787/9789264043466-en
  34. Purwanto, E. H., & Ayuningtyas, U. (2016). Dampak Pemberlakuan Standar Nasional Indonesia Mainan Anak secara Wajib terhadap Industri dan Lembaga Penilaian Kesesuaian. Jurnal Standardisasi, 18, 183–194
  35. Purwanto, E. H., & Isharyadi, F. (2016). Dampak Implementasi SNI Wajib oleh Industri dari Sudut Pandang Perdagangan Produk, K3L dan Pelaku Usaha. Jurnal Standardisasi, 18, 115–128
  36. Rahayu, M., & Susanti, H. (2023). PENGARUH PEMBERLAKUAN STANDAR NASIONAL INDONESIA (SNI) SECARA WAJIB PADA PERDAGANGAN INDONESIA. Jurnal Standardisasi, 25, 27–40
  37. Santika, W. G., Urnee, T., Simsek, Y., Bahri, P. A., & Anisuzzaman, M. (2020). An Assessment of Energy Policy Impact on Achieving Sustainable Development Goal 7 in Indonesia. Energy for Sustainable Development, 59, 33–48. https://doi.org/https://doi.org/10.1016/j.esd.2020.08.011
  38. Schuberth, F., Henseler, J., & Dijkstra, T. K. (2018). Confirmatory composite analysis. Frontiers in Psychology, 9(DEC). https://doi.org/10.3389/fpsyg.2018.02541
  39. Setyoko, A. T., Isharyadi, F., & Kristiningrum, E. (2017). KINERJA DAN RESPON INDUSTRI ATAS PEMBERLAKUAN SNI WAJIB Performance and Industrial Response to Regulation of Mandatory SNI. Jurnal Standardisasi, 19, 207–2018
  40. Shi, J., Lee, C. H., Guo, X., & Zhu, Z. (2020). Constructing an integrated stakeholder based participatory policy evaluation model for urban traffic restriction. Technological Forecasting & Social Change. https://doi.org/https://doi.org/10.1016/j.techfore.2019.119839
  41. Susanto, D. A., & Kristiningrum, E. (2019). PENGARUH PEMBERLAKUAN WAJIB SNI BATERAI PRIMER TERHADAP IMPOR PRODUK BATERAI PRIMER INDONESIA. Jurnal Standardisasi, 21, 91–100
  42. Susanto, D. A., & Mulyono, A. B. (2018). EFEKTIVITAS PENERAPAN SNI 2547:2008 SPESIFIKASI METER AIR SECARA WAJIB. Jurnal Standardisasi, 19(2), 91. https://doi.org/10.31153/js.v19i2.457
  43. Tram, T. X. H., Lai, T. D., & Nguyen, T. T. H. (2023). Constructing a composite financial inclusion index for developing economies. Quarterly Review of Economics and Finance, 87, 257–265. https://doi.org/10.1016/j.qref.2021.01.003
  44. Wu, W. ping, Yan, J. jun, Chen, Y. hua, Wang, Z. jun, & Lin, Y. ran. (2022). Has environmental policy improved the job quality of migrant workers? A quasi-natural experiment on China’s Clean Air Action. Journal of Cleaner Production, 347. https://doi.org/10.1016/j.jclepro.2022.131231
  45. Xue, B., Liu, B., Yang, Q., Sun, X., Wang, W., & Li, L. (2021). Formalizing an evaluation-prediction based roadmap towards urban sustainability: A case study of Chenzhou, China. Habitat International, 112. https://doi.org/10.1016/j.habitatint.2021.102376
  46. Yang, W., Yuan, G., & Han, J. (2019). Is China’s air pollution control policy effective? Evidence from Yangtze River Delta cities. Journal of Cleaner Production, 220, 110–133. https://doi.org/10.1016/j.jclepro.2019.01.287
  47. Yin, J. H., Chng, C. B., Wong, P. M., Ho, N., Chua, M., & Chui, C. K. (2020). VR and AR in human performance research―An NUS experience. In Virtual Reality and Intelligent Hardware (Vol. 2, Issue 5, pp. 381–393). KeAi Communications Co. https://doi.org/10.1016/j.vrih.2020.07.009
  48. Yu, Y., Li, Y., Zhang, Z., Gu, Z., Zhong, H., Zha, Q., Yang, L., Zhu, C., & Chen, E. (2020). A bibliometric analysis using VOSviewer of publications on COVID-19. Annals of Translational Medicine, 8(13), 816–816. https://doi.org/10.21037/atm-20-4235
  49. Zhang, N., Zhao, Y., & Wang, N. (2022). Is China’s energy policy effective for power plants? Evidence from the 12th Five-Year Plan energy saving targets. Energy Economics, 112. https://doi.org/10.1016/j.eneco.2022.106143
  50. Zhao, Y., Song, Z., Chen, J., & Dai, W. (2023). The mediating effect of urbanisation on digital technology policy and economic development: Evidence from China. Journal of Innovation and Knowledge, 8(1). https://doi.org/10.1016/j.jik.2023.100318
  51. ----- https://www.inews.id/finance/bisnis/mendag-ungkap-ada-40-perusahaan-lokal-produksi-baja-tak-sesuai-sni diakses pada tanggal 13 Oktober 2023
  52. ----- https://kastara.id/09/08/2022/bahan-baja-impor-tak-sesuai-sni-senilai-rp-4168-miliar-disita-kemendag/ diakses pada tanggal 13 Oktober 2023

Last update:

No citation recorded.

Last update: 2024-12-23 07:50:12

No citation recorded.