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ANALISIS DAYA SAING INDUSTRI MANUFAKTUR JAWA TIMUR: SEBUAH PENDEKATAN SPASIAL Handoyo, Rossanto Dwi
Jurnal Organisasi dan Manajemen Vol 12 No 2 (2016)
Publisher : LPPM Universitas Terbuka

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

Abstract

This research aims to identify the pre-eminent product based on comparative advantages and Location Quotion concept as well as spatial aspect. The analysis result confirm that spatial concentration of manufacture sector industry in East Java located in six region which is Kota Surabaya, Kota Kediri, Kabupaten Sidoarjo, Kabupaten Gresik, Kota Malang, and Kabupaten Pasuruan. This six region dominate manufacture industrial output in East Java about 85%. It means that the changing of supply and demand side in these regions will influence to the manufacture industrial performance in east Java as a whole. Manufacture industry in East Java is still dominated by food, beverages and tobacco industries (ISIC 31); textiles, shirt and skin (ISIC 32); wood based industry (ISIC 3.6), paper and print industry (ISIC 3.4) and transportation industry (ISIC 3.8). The analysis result using RTA index shows that East Java Province has export comparative advantages in lead and article thereof (HS 78), explosive; matches; pyrotechinic product (HS 36), cereals (HS 10), zinc and particles thereof (HS 79), tools, implements, cutlery, spoons (HS 82), dan dairy product (HS 04). The analysis on spatial association of output of East Java manufacture industry result several findings. The research results that there is positive spatial autocorrelation, in which high value region is surrounded by the high value regions, otherwise the low value region is surrounded by the low value regions. Spatial lag model also shows the importance of manufacturing industry output growth rate of neighboring regions. Spatial lag models show that the growth of the industrial output in the neighbour region plays an important role as determinant factor of industrial output in one region in the East Java Province. Perubahan struktural pada perekonomian modern ditunjukkan oleh semakin besarnya peran sektor industri manufaktur dalam suatu perekonomian. Kebijakan yang berorientasi spasial dan regional merupakan  salah satu faktor kunci yang dapat mendukung pemerintah pusat dan daerah dalam merumuskan dan mengimplementasikan kebijakan pembangunan di sektor industri. Penelitian ini bertujuan untuk melakukan pemetaan daya saing berdasarkan berdasarkan aspek kewilayahan (spasial) di Provinsi Jawa Timur. Industri manufaktur dari aspek kewilayahan terkonsentrasi pada enam wilayah yaitu Surabaya, Kota Kediri, Sidoarjo, Gresik, Kota Malang, dan Pasuruan. Ke enam wilayah ini mendominasi output  industri manufaktur di Jawa Timur hingga 85%. Hasil analisis daya saing menggunakan indek RTA (revealed comparative trade advantage) menunjukkan bahwa Jawa Timur secara keseluruhan memiliki keunggulan komparatif dalam ekspor untuk komoditi seperti timbal dan produk turunannya (HS 78), pyrotechinic dan produk turunannya (HS 36), cereals (HS 10), seng dan produk turunannya (HS 79), perkakas dan produk sejenis (HS 82), dan produk terbuat dari susu (HS 04). Analisis keterkaitan spasial industri manufaktur dengan cluster di Jawa Timur menunjukkan ada keterkaitan spasial yang positif (positive spatial autocorrelation), dimana daerah yang memiliki daya saing yang tinggi dikelilingi oleh daerah yang nilainya tinggi pula. Analisis menggunakan Model spatial lag juga menunjukkan faktor-faktor penentu daya saing industri manufaktur (berdasarkan teori berlian/Diamond Theory dari Porter) daerah tetangga sangat penting sebagai penentu daya saing industri  manufaktur di masing-masing Kabupaten/Kota di Jawa Timur.
ANALISIS DAYA SAING INDUSTRI MANUFAKTUR JAWA TIMUR: SEBUAH PENDEKATAN SPASIAL Handoyo, Rossanto Dwi
Jurnal Organisasi Dan Manajemen Vol 12 No 2 (2016)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (763.587 KB)

Abstract

This research aims to identify the pre-eminent product based on comparative advantages and Location Quotion concept as well as spatial aspect. The analysis result confirm that spatial concentration of manufacture sector industry in East Java located in six region which is Kota Surabaya, Kota Kediri, Kabupaten Sidoarjo, Kabupaten Gresik, Kota Malang, and Kabupaten Pasuruan. This six region dominate manufacture industrial output in East Java about 85%. It means that the changing of supply and demand side in these regions will influence to the manufacture industrial performance in east Java as a whole. Manufacture industry in East Java is still dominated by food, beverages and tobacco industries (ISIC 31); textiles, shirt and skin (ISIC 32); wood based industry (ISIC 3.6), paper and print industry (ISIC 3.4) and transportation industry (ISIC 3.8). The analysis result using RTA index shows that East Java Province has export comparative advantages in lead and article thereof (HS 78), explosive; matches; pyrotechinic product (HS 36), cereals (HS 10), zinc and particles thereof (HS 79), tools, implements, cutlery, spoons (HS 82), dan dairy product (HS 04). The analysis on spatial association of output of East Java manufacture industry result several findings. The research results that there is positive spatial autocorrelation, in which high value region is surrounded by the high value regions, otherwise the low value region is surrounded by the low value regions. Spatial lag model also shows the importance of manufacturing industry output growth rate of neighboring regions. Spatial lag models show that the growth of the industrial output in the neighbour region plays an important role as determinant factor of industrial output in one region in the East Java Province.   Perubahan struktural pada perekonomian modern ditunjukkan oleh semakin besarnya peran sektor industri manufaktur dalam suatu perekonomian. Kebijakan yang berorientasi spasial dan regional merupakan  salah satu faktor kunci yang dapat mendukung pemerintah pusat dan daerah dalam merumuskan dan mengimplementasikan kebijakan pembangunan di sektor industri. Penelitian ini bertujuan untuk melakukan pemetaan daya saing berdasarkan berdasarkan aspek kewilayahan (spasial) di Provinsi Jawa Timur. Industri manufaktur dari aspek kewilayahan terkonsentrasi pada enam wilayah yaitu Surabaya, Kota Kediri, Sidoarjo, Gresik, Kota Malang, dan Pasuruan. Ke enam wilayah ini mendominasi output  industri manufaktur di Jawa Timur hingga 85%. Hasil analisis daya saing menggunakan indek RTA (revealed comparative trade advantage) menunjukkan bahwa Jawa Timur secara keseluruhan memiliki keunggulan komparatif dalam ekspor untuk komoditi seperti timbal dan produk turunannya (HS 78), pyrotechinic dan produk turunannya (HS 36), cereals (HS 10), seng dan produk turunannya (HS 79), perkakas dan produk sejenis (HS 82), dan produk terbuat dari susu (HS 04). Analisis keterkaitan spasial industri manufaktur dengan cluster di Jawa Timur menunjukkan ada keterkaitan spasial yang positif (positive spatial autocorrelation), dimana daerah yang memiliki daya saing yang tinggi dikelilingi oleh daerah yang nilainya tinggi pula. Analisis menggunakan Model spatial lag juga menunjukkan faktor-faktor penentu daya saing industri manufaktur (berdasarkan teori berlian/Diamond Theory dari Porter) daerah tetangga sangat penting sebagai penentu daya saing industri  manufaktur di masing-masing Kabupaten/Kota di Jawa Timur.
Pengaruh Kecerdasan Emosional, Komitmen Organisasional dan Organizational Citizenship Behavior terhadap Kinerja Permata Sakti; Rossanto Dwi Handoyo; Ake Wihadanto
JURNAL ILMIAH MANAJEMEN & BISNIS Vol 21, No 1 (2020): April - September
Publisher : UNIVERSITAS MUHAMMADIYAH SUMATERA UTARA

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (921.334 KB) | DOI: 10.30596/jimb.v21i1.4149

Abstract

Badan Pusat Statistik has a vision as a provider of quality data needed in the planning, monitoring, and evaluating development for the government and the community. The current focus of BPS is on improving data quality and excellent service so that the role of BPS staff, especially the District Statistics Coordinator (KSK) in improving data quality, is very important. This study aims to analyze the effect of emotional intelligence, organizational commitment, and Organizational Citizenship Behavior on the performance of KSK in Statistics of Regency / Municipality in East Java as many as 447 people using SmartPLS software. The results showed that organizational commitment had a positive effect but did not have a significant impact on the performance of KSK. In contrast, OCB and emotional intelligence partially had a positive and significant effect on KSK performance. Other factors influence variable emotional intelligence, organizational commitment, and OCB influence the performance of KSK by 75.89 percent and by 24.11 percent.
Dampak Faktor Eksternal Terhadap Pertumbuhan Ekonomi Indonesia Rossanto Dwi Handoyo; Angga Erlando; Ilham Septiyanto
EcceS (Economics, Social, and Development Studies) Vol 7 No 1 (2020)
Publisher : Fakultas Ekonomi dan Bisnis Islam UIN Alauddin Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/ecc.v7i1.13382

Abstract

Indonesia adalah salah satu negara yang menggunakan pertumbuhan ekonomi sebagai indikator kinerja ekonomi. Pertumbuhan ekonomi yang tinggi dan berkelanjutan sangat diharapkan oleh pemerintah Indonesia, sebagai salah satu upaya untuk mencapai kemakmuran bagi masyarakat Indonesia. Studi ini mencoba melihat pengaruh impor, pengiriman uang (remiten), foreign direct investment (FDI), dan harga minyak dunia terhadap pertumbuhan ekonomi di Indonesia. Estimasi yang dilakukan dalam penelitian ini adalah Autoregressive Distributed Lag (ARDL) analysis method, dan digunakan untuk melihat efek jangka panjang dan jangka pendek. Hasil estimasi menunjukkan bahwa variabel impor secara signifikan memiliki pengaruh negatif terhadap pertumbuhan ekonomi di Indonesia. Sementara itu, variabel FDI memiliki hubungan positif dan signifikan terhadap pertumbuhan ekonomi di Indonesia. Variabel remitansi memiliki hubungan negatif, tetapi tidak signifikan terhadap pertumbuhan ekonomi di Indonesia dalam jangka pendek, selain itu remitansi juga memiliki pengaruh positif, tetapi tidak signifikan terhadap pertumbuhan ekonomi di Indonesia dalam jangka panjang. Sedangkan dalam jangka pendek variabel harga minyak dunia (world oil price) berpengaruh secara signifikan negatif terhadap pertumbuhan ekonomi Indonesia. Rekomendasi yang diberikan, diantaranya perlunya perbaikan dan pengembangan tata kelola pada sektor migas untuk mengurangi ketergantungan impor migas, mendorong model proyek yang dapat mendorong timbulnya kegiatan ekonomi baru, memuculkan kepastian hukum yang jelas dan terpercaya kepada investor khusunya dari asing, dan perlunya pengelolaan remiten yang berorientasi pada pemunculan usaha produktif dengan potofolio manjemen keuangan rumah tangga untuk masa depan. Kata Kunci:  Foreign Direct Investment; Impor; Pertumbuhan Ekonomi; Remitansi; World Oil Price
Relationship Between Infrastructure And Economic Development Of Surabaya City Riska Frida Pratiwi; Rossanto Dwi Handoyo
MediaTrend Vol 16, No 2 (2021): OKTOBER
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/mediatrend.v16i2.8774

Abstract

This study aims to identify the impact of infrastructure development on Economic Condition in Surabaya City. The variable used in this study are income per capita, dringking water distribution, sold energi (electricity) and condition of asphalted road. Data used in this paper is secondary data from 1993-2018. Model analysis used is time series regression analysis with selected models Error Correction Model (ECM) according to the econometric procedure. The result show that both dringking water distribution and sold electricity per capita have significant positif impact on per capita income in the long run,but in the short run all infratsructure indicatore no significant impact on development economics in Surabaya City.
Inequality of Educational Opportunities and Digital Literacy of School-Age Children In Sumatra Yollanda Alvis; Rossanto Dwi Handoyo
MediaTrend Vol 16, No 1 (2021): MARET
Publisher : Trunojoyo University of Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/mediatrend.v16i1.9512

Abstract

Inequality of educational opportunities is at the root of economic problems. Educational attainment will be a basic element in generating income, which will improve the quality and well-being of every child in the future. This study aims to look at the inequality of educational opportunities and the impact of digital literacy of school-age children on the inequality of educational opportunities in Sumatra. The results of the calculation show that there is an inequality of educational opportunities in Sumatra. Riau islands and Lampung provinces have the most ideal conditions where the inequality of education opportunities of low school age children and digital literacy of children is high. While the provinces of North Sumatra and South Sumatra have the least ideal conditions, the inequality of educational opportunities of high school-age children and digital literacy of children is low.
The Influence of Institutional Quality towards Foreign Direct Investment (FDI) Inflows in ASEAN’s Developing Countries Kezya Agustina Hananya; Rossanto Dwi Handoyo
Jurnal Ekonomi Pembangunan: Kajian Masalah Ekonomi dan Pembangunan Vol 22, No 2 (2021): JEP 2021
Publisher : Muhammadiyah University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23917/jep.v22i2.13752

Abstract

This paper discusses the influence of institutional quality on FDI stock inflows towards eight developing countries in Association of Southeast Asian Nations (ASEAN). Institution in this paper is classified in four forms, namely legal, bureaucratic, politics, and economic institutions. This paper utilizes the method of Principal Component Analysis (PCA) and panel data regression. After using PCA method to identify which variables hold the most importance, the authors then constructed an individual index for four institutions as defined before. These indices are then used for panel data regression. The result of this paper indicates that out of four forms of institutions, three institutions are found to be significant determinants. These three institutions are legal, bureaucratic, and economic institutions. Surprisingly, while bureaucratic institution has positive coefficients, the other two forms of institutions have negative coefficients, suggesting that FDI stock inflows towards developing countries in ASEAN are more likely to be motivated by weak legal and economic institutions.
Better Performance Prospect of Large-Medium Enterprises: The Role of Innovation Rapita Handayani; Rossanto Dwi Handoyo
Journal of Economics, Business, & Accountancy Ventura Vol 22, No 3 (2019): December 2019 - March 2020
Publisher : STIE Perbanas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v22i3.2041

Abstract

Based on the Business Characteristics Survey 2019 conducted by Statistics Indonesia, enterprises developed innovation are only 11.65%. Although innovation provides the benefit of a significant increase in revenue, there are 63.44% of companies that do not innovate. Therefore, it is necessary to study the effect of innovation on the prospects of large and medium-sized businesses in Indonesia. This study also observed the innovation types and business characteristics of large-medium enterprises. The data processed in this study came from the micro-data of 312,080 large-medium enterprises resulting from the 2016 Census of Economic-Advanced Data Collection for Large-Medium Enterprises and Micro-Small Enterprises. It was carried out by Statistics Indonesia in 2017 in 34 provinces in Indonesia. The method used to analyze the data was Logistic Regression. The result of the study showed that marketing innovations and product innovations were the most innovative types widely carried out by large-medium enterprises. The effect of innovation variable was seen in categories of manufacturing; water supply, sewerage, waste management & remediation; construction, transportation & storage; financial & insurance; and human health & social work. These categories will have better business prospects when there are more types of business innovations implemented. These suggest that leaders of large-medium enterprises and related stakeholders engaged in these sectors to pay more attention to innovation factors and their indicators in the operation of enterprises.
Determinan Inovasi Perusahaan Menengah Besar di Sumatera Utara Rapita Handayani; Rossanto Dwi Handoyo
Inovasi Vol 17 No 2 (2020): JURNAL INOVASI VOL. 17 NO. 2 OKTOBER 2020
Publisher : Badan Penelitian dan Pengembangan Provinsi Sumatera Utara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33626/inovasi.v17i2.208

Abstract

This study aims to find out the innovation characteristics of large medium enterprises in North Sumatera. In addition, this study aims to set the determinants of innovation using the Negative Binomial Regression method. This study processed 12,342 microdata of large-medium enterprises obtained from the 2016-Census of Economy- Advanced on Data Collection for Large-Medium Enterprises (UMB) and Micro-Small Enterprises (UMK). This data collection was carried out by Statistics Indonesia in 2017. Descriptive analysis results show that marketing innovation and product innovation are the most common types of innovation conducted by UMB in North Sumatera. Internet use and business development variables are the most widely used indicators of innovation, while research and development (R&D) activities and ownership of intellectual property variables are the least indicators of innovation. From the results of inference analysis, it was found that the economic sector category model that all of significant independent variables (innovation indicators) are the category models of C (Manufacturing), G (Wholesale &Retail Trade, Repair of Motor Vehicles & Motorcycles), H (Transportation & Storage), I (Accommodation & Food Service), K (Financial & Insurance), N (Leasing and Leasing without Option Rights, Employment, Travel Agencies, and Other Business Supports), P (Education), R and S (Arts, entertainment recreation, and Other service activities). Workforce training and business development variables are one of the important innovation indicators because it affects almost all economic sectors.
Impact of FDI, Labor Productivity and Firm Size on the Export of Indonesian Manufacturing Galuh Maghvira Pramiswari; Rossanto Dwi Handoyo
Budapest International Research and Critics Institute (BIRCI-Journal): Humanities and Social Sciences Vol 5, No 1 (2022): Budapest International Research and Critics Institute February
Publisher : Budapest International Research and Critics University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33258/birci.v5i1.4406

Abstract

The purpose of this study is to analyze empirically the impact of foreign direct investment (FDI), labor productivity, and firm size on the company's exports in the Indonesian manufacturing industry and measure the technical efficiency of Indonesian manufacturing industry. The result show that manufacturing industry has yet to achieve the maximum level of technical efficiency. FDI, firm size, technical efficiency, industry concentration, and the use of imported raw materials have a positive and significant impact on the company's export opportunities, meanwhile labor productivity and firm location results in a positive but insignificant relationship to the company's export opportunities. Other findings show that interactions variable between FDI and the use of imported raw materials and interaction between firm size and the use of imported raw materials resulting in a positive and significant relationship to the company's export opportunities, meanwhile interaction between FDI and industry concentration statistically insignificant on the company's export opportunities.