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Analysis of the Impact of the Raskin Program on Food Security for Poor Households in Indonesia Mustofa, Mustofa; Sugiyanto, Catur; Susamto, Akhmad Akbar
Jurnal Economia Vol 19, No 1 (2023): April 2023
Publisher : Faculty of Economics Universitas Negeri Yogyakarta in collaboration with the Institute for

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/economia.v19i1.58937

Abstract

This study aims to determine the impact of assistance from the rice program for people experiencing poverty on food security for poor households. The data in this paper are sourced from the fourth (2007) and fifth (2014) Indonesian Family Life Survey (IFLS). A total of 1346 household samples were used in this study. The sample consisted of 401 treatment groups and 945 control groups. The treatment group is poor households that receive Raskin assistance, and the control group is poor households that do not receive Raskin assistance. The analysis used is Propensity Score Matching (PSM) with Difference in Difference (DiD). The study's results prove that the Rice for the Poor program has no significant impact on the proportion of household food expenditure. The interaction between the variables year (after) and treatment (Raskin) has no significant effect on the proportion of household food. The provision of the Raskin program in a longitudinal period has no impact on household per capita food expenditure.
Dampak Pembangunan Bandara Internasional Yogyakarta Terhadap Perubahan Penggunaan Lahan utami, westi; Aji, Kuna; Marini, Marini; Sugiyanto, Catur; Rahardjo, Noorhadi
Jurnal Pembangunan Wilayah dan Kota Vol 19, No 1 (2023): JPWK Volume 19 No. 1 March 2023
Publisher : Universitas Diponegoro, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/pwk.v19i1.37429

Abstract

Pengadaan tanah skala besar Yogyakarta International Airport (YIA) membawa pengaruh terhadap aspek fisik, lingkungan, sosial, ekonomi maupun budaya.  Kajian ini bertujuan melakukan pemetaan perubahan penggunaan lahan yang terjadi akibat pembangunan bandara YIA. Metode penelitian dilakukan secara spasial, penggunaan lahan diperoleh melalui interpretasi citra melalui pendekatan NDVI (Normalized Difference Vegetation Index). Data yang digunakan untuk monitoring pola perubahan penggunaan lahan ialah citra satelit Sentinel-2 Tahun 2015 dan 2019.   Hasil kajian menunjukkan perubahan penggunaan lahan di Kecamatan Temon, Pengasih, dan Wates, perubahan tertinggi terjadi pada kebun campur hingga mencapai luasan 910 Ha, sementara perubahan lahan sawah mencapai 289,44 Ha.  Tingginya alih fungsi lahan pertanian ini dapat berimplikasi terhadap transformasi matapencaharian penduduk yang sebelumnya menggantungkan hidup pada sektor agraris.  Monitoring perubahan penggunaan lahan yang dilakukan berkala harapannya menjadi dasar dalam melakukan pengendalian pertanahan dan pemanfaatan ruang.
Artificial intelligence in land use prediction modeling: a review Utami, Westi; Sugiyanto, Catur; Rahardjo, Noorhadi
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 3: September 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i3.pp2514-2523

Abstract

This study aims to review methods of artificial intelligence (AI) in land use modelling. Data were extracted from journals in the Scopus and Google Scholar databases using the preferred reporting items for systematic reviews and meta-analyses (PRISMA) method. The review demonstrates that modelling land use predictions is a complex matter that involves land use maps and driving forces. AI technology can support land use forecasting by interpreting land use data, analyzing drivers, and modeling. However, AI has limitations in terms of broad contextual understanding and algorithmic errors. To anticipate this, it is necessary to select the appropriate image resolution and interpretation method in accordance with digital data segmentation. It is also recommended to use spatial regression methods to determine the driving forces that affect land use. Hybrid models such as multilayer perceptron neural network Markov chain (MLPNN-MC), random forest algorithm (RFA), and cellular automata (CA)-Markov chain (MC) are recommended for modelling. The selection of a model should be based on the data's characteristics and tested for accuracy. The use of AI for land use prediction modelling is expected to provide accurate predictions that can be used as a basis for land use policy.
Estimated changes in carbon stock due to changes in land use around Yogyakarta International Airport Utami, Westi; Sugiyanto, Catur; Rahardjo, Noorhadi
Journal of Degraded and Mining Lands Management Vol. 11 No. 3 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.113.5727

Abstract

Land use plays an important role in maintaining carbon stock balance, ecosystem sustainability, and the environment. Massive land use changes in forest areas, peatlands, mangroves, and greenways result in an increase in CO2 release. This research aimed to analyze the impact of land use changes on the value of the carbon stock around Yogyakarta International Airport. The data used were Pleiades images in 2014, 2018, and 2022. Image analysis was carried out visually to produce detailed and accurate land use classification. Meanwhile, multitemporal map overlays were carried out to find out land use changes. Changes in carbon stock were obtained from the land use formula multiplied by the value of the Greenhouse Gas Constant (GGC). The results showed that the construction of an airport and its supporting infrastructure triggered land use changes that had implications for the decreasing carbon stock. The decrease in the area of vegetation cover in fields, community plantations, and mixed plantations from 2014 to 2022, amounting to -640.99 ha, increased carbon emissions. The results of the analysis showed that there had been changes in carbon stock. In 2014, the value was 150,286.57 t C/ha; in 2018, it decreased to 136,631.56 t C/ha; and in 2022, it reduced to 133,554.36 t C/ha. Massive economic activity and infrastructure development trigger reduced vegetation cover, resulting in increased carbon and increased carbon being released into the atmosphere. The problem of land conversion that affects changes in carbon stock and impacts climate change requires mitigation, among which is proper land use management and sustainable spatial planning.
Mangrove area degradation and management strategies in Indonesia: A review Utami, Westi; Sugiyanto, Catur; Rahardjo , Noorhadi
Journal of Degraded and Mining Lands Management Vol. 11 No. 3 (2024)
Publisher : Brawijaya University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15243/jdmlm.2024.113.6037

Abstract

Coastal communities are particularly vulnerable to the effects of climate change. This study aimed to review the impact of land use change and mangrove degradation on coastal areas and analyze the problems and strategies of mangrove management in Indonesia. Journal data sources were obtained from the Scopus and Google Scholar databases. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) method was used in the study. The results indicate that economic activities such as mining, industry, and ponds are the main cause of mangrove damage, which in turn leads to increased disasters, CO2 emissions, and decreased community income. To address this issue, mangrove management strategies that take into account social, economic, and environmental factors are necessary. Successful mangrove restoration requires increased inclusion, community capacity, budgeting, and stakeholder involvement. Government policies regulating sustainable spatial planning, law enforcement, and institutional frameworks are crucial components of mangrove management. The study's results are expected to serve as the foundation for developing sustainable coastal management strategies that enhance the safety of coastal communities from disasters and improve their welfare.
Analisis Penggunaan Smartphone Wisatawan Muslim Gen-Z: Sebuah Penelitian Interpretative Phenomenology Analysis Kurnia, Agus; Sugiyanto, Catur; Purnomo, Boyke Rudy; Kusworo, Hendrie Adji
IQTISHODUNA: Jurnal Ekonomi Islam Vol. 13 No. 2 (2024): October
Publisher : LPPM, Universitas Islam Syarifuddin Lumajang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54471/iqtishoduna.v13i2.2847

Abstract

Halal tourism is becoming increasingly popular among Muslim tourists interested in international travel. Internationally, Muslim tourists who travel a lot are young tourists, on average 24 years old, and have a good education. Statistically, Generation Z dominates travel in Indonesia. Generation Z is a generation born between 1993-2012 (30-11 years old) and known as "digital natives," which means they quickly adapt to digital technologies and are always connected to the internet and social networks. Understanding the behavior of Generation Z has never been separated from using smartphones. So, understanding the behavior of generation Z travelers in using smartphones on the go is important because they are a potential market in the development of the halal tourism industry in the next 10-15 years. This study focuses on understanding the influence of smartphone digital technology on the behavior of generation Z Muslim tourists in Indonesia when traveling in tourist destinations. This study uses an interpretive phenomenological analysis methodology by conducting in-depth interviews and observations of Gen-Z Muslim travelers using smartphones. The data obtained is then processed using NVIVO software. Data analysis used six stages of interpretive phenomenological analysis. The results in the study will show the superordinate theme that arises from the process of interpreting the experiences of the participants with evidence as presented by the participants.
Women Empowerment Program and Women’s Health: A Papua and Eastern Indonesia Case Study Gobay, Maria Yuvita; Sugiyanto, Catur
Jurnal Ilmu Ekonomi Terapan Vol. 10 No. 1 (2025)
Publisher : Department of Economics, Faculty of Economics and Business, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jiet.v10i1.71603

Abstract

The research examines the role of the PKK program in promoting women’s health. This research uses a quantitative approach, analyzing secondary cross-sectional data from the Indonesian Family Life Survey (IFLS) East, 2012 using the Probit model. The research seeks to address existing gaps in the literature related to the role of women empowerment programs in enhancing health outcomes in underserved and underdeveloped areas of Indonesia. As a result, the findings reveal that the family group program (dasawisma) involving ten to twenty households has a significant and positive effect on women’s health. Participants in this program show a higher probability of being in good health compared to non-participants. On the contrary, participation in the medicinal herb garden and health fund programs does not have a significant effect on improving women’s health in Papua and eastern regions. Furthermore, higher education levels and urban residency positively influenced women’s health, whereas age and distance to health facilities negatively affected health status
Green infrastructure development challenges: The case of Yogyakarta International Airport Utami, Westi; Sugiyanto, Catur
Jurnal Ikatan Sarjana Ekonomi Indonesia Vol 14 No 1 (2025): April
Publisher : Jurnal Ekonomi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52813/jei.v14i1.434

Abstract

Infrastructure development, such as airports, often impacts the surrounding economic growth. On the one hand, the airport's economic growth is a desirable logical consequence. However, economic growth often occurs due to increased mining, industrial, plantation, trading, service, and other economic activities, causing changes in land use that do not follow the Spatial Planning and Regional Plans. Therefore, it may have implications for environmental damage. This paper proves a change in land use around Yogyakarta International Airport. Changes are observed through differences in land use in 2015, before the airport plan was built, and 2021, after the airport was operational. The random forest algorithm method is used to classify land use data sets. Furthermore, using the Multilayer Perceptron Neural Network Marcov Chain/ MLP NN-MC algorithm, it is predicted that the conversion of rice fields and plantations around the front side of the airport for housing and business will become even greater in 2030. Thus, the airport's construction has increased land use for business and residential purposes, while the green surface has been dramatically reduced. It was identified that there was a misuse of land use. Without good management, changes in land use can have an impact on decreasing environmental quality. Keywords: green infrastructure, land use change, land use prediction JEL Classification: Q57; R14; O44
Evaluating Microcredit: Effects of the 5Cs of Credit Analysis and Entrepreneur Characteristics on Loan Performance among MSMEs in Yogyakarta Joenoes, Kartini Sally Hb; Sugiyanto, Catur; Sukamdi, Sukamdi; Moeljono, Djokosantoso
Asian Journal of Social and Humanities Vol. 3 No. 7 (2025): Asian Journal of Social and Humanities
Publisher : Pelopor Publikasi Akademika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59888/ajosh.v3i7.546

Abstract

Micro, small, and medium enterprises (MSMEs) have a significant role in the national economy, creating jobs opportunities, increasing Gross Domestic Product (GDP), and promoting credit stability during times of crisis. However, MSMEs frequently face obstacles when attempting to access financial resources. Although the Indonesia government has implemented several measures to support MSMEs, such as the credit relaxation policy, the risk of loan non-performance loan remains tangible. This study seeks to identify the dominant factors underpinning MSMEs' failure to repay their loans focusing on 5Cs of credit analysis and characteristics of individual entrepreneurs. This study finds that the principles identified in the 5Cs of credit analysis are significantly and negatively correlated with non-performing loans, while the characteristics of individual entrepreneurs is not significantly correlated. Of the 5Cs of credit analysis, capacity and collateral are identified as the most determinant factors behind non-performing loans, though this finding differs from those of several previous studies. Meanwhile this study provides important insight which will enable the banking industry and policymakers to mitigate the credit risks experienced by MSMEs and promote the future sustainability of this sector.
Dampak Pembangunan Proyek Strategis Nasional (Bandara Internasional Yogyakarta) terhadap Dinamika Penggunaan Lahan Utami, Westi; Sugiyanto, Catur; Rahardjo, Noorhadi
Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Vol 15 No 5 (2025): Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (JPSL)
Publisher : Pusat Penelitian Lingkungan Hidup, IPB (PPLH-IPB) dan Program Studi Pengelolaan Sumberdaya Alam dan Lingkungan, IPB (PS. PSL, SPs. IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/jpsl.15.5.791

Abstract

This paper aims to map land use change, pattern, and direction of built-up land development, before, during, and after the development of Yogyakarta International Airport. The data source employed was Pleiades imagery with a spatial resolution of 0.5 m. The visual method was used for image interpretation and the accuracy test was conducted through the confusion matrix. Land use change data obtained by overlay. The distribution pattern is determined by the average nearest neighbour, while the direction of development of built-up land is determined by the standard deviational ellipse The results indicate that the land use map has a very high accuracy of 92.52%. Moreover, the results of the overlay showed that land use changes occurred very massively, in that within eight years there were decreases of mixed plantations decreased by 528.17 Ha and of agricultural land by 112.66 Ha. On the other hand, there was a significant increase in residential area of 29.42 Ha and a service and trade area of 11.2 Ha. The results show the ratio value of the built-up land pattern in 2014 of 0.63, in 2018 of 0.59 and in 2022 of 0.33, with this value the built-up land pattern is clustered. The results showed that there was a change in the direction of the built land pattern which was initially eastward changed to the northeast parallel to the arterial road. Monitoring the pattern of land use dynamics is an important part in planning and regulating spatial patterns and the direction of regional development.