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Kemiskinan masih menjadi permasalahan yang dihadapi oleh Provinsi Jawa Timur. Kondisi ini dipengaruhi oleh berbagai faktor, diantaranya Indeks Pembangunan Manusia (IPM) dan Tingkat Pengangguran Terbuka (TPT). Penelitian ini menggunakan pendekatan kuantitatif dengan data sekunder berbentuk deret waktu (time series) periode 2010–2024 yang diperoleh dari Badan Pusat Statistik (BPS) Provinsi Jawa Timur. Teknik analisis yang digunakan adalah regresi linier berganda dengan bantuan program EViews. Hasil penelitian menunjukkan bahwa secara parsial IPM memiliki pengaruh negatif dan signifikan terhadap kemiskinan di Provinsi Jawa Timur, sedangkan TPT berpengaruh positif namun tidak signifikan. Secara simultan, IPM dan TPT berpengaruh signifikan terhadap tingkat kemiskinan di Provinsi Jawa Timur. Temuan ini menunjukkan bahwa peningkatan kualitas pembangunan manusia melalui aspek pendidikan, kesehatan, dan standar hidup yang layak dapat menjadi salah satu strategi dalam menurunkan tingkat kemiskinan di Provinsi Jawa Timur.

Latar belakang penelitian ini berakar pada fenomena kemajuan yang tidak merata di antara indikator pembangunan di Sumatera Utara, di mana Indeks Pembangunan Manusia (IPM), meskipun diklasifikasikan dalam kategori “tinggi”, belum secara konsisten berkontribusi pada penurunan tingkat pengangguran. Tujuan utama penelitian ini adalah untuk menguji pengaruh IMB, tingkat kemiskinan, dan tingkat pengangguran terhadap pertumbuhan ekonomi di Provinsi Sumatera Utara. Metode yang digunakan adalah pendekatan kuantitatif dengan analisis regresi linier berganda menggunakan data deret waktu dari tahun 2010 hingga 2025 yang bersumber dari BPS. Hasil penelitian menunjukkan bahwa secara simultan, IPM, kemiskinan, dan pengangguran secara signifikan mempengaruhi pertumbuhan ekonomi daerah. Secara parsial, IMB memiliki pengaruh positif dan signifikan, menunjukkan bahwa investasi dalam kualitas modal manusia meningkatkan produktivitas ekonomi. Sebaliknya, baik tingkat kemiskinan maupun tingkat pengangguran terbuka menunjukkan pengaruh negatif dan signifikan, yang menyiratkan bahwa peningkatan variabel-variabel ini cenderung menghambat ekspansi ekonomi. Lebih lanjut, variabel independen yang dimasukkan dalam model ini menjelaskan 49,49% variasi pertumbuhan ekonomi, sedangkan proporsi sisanya dijelaskan oleh faktor eksternal di luar cakupan penelitian ini. Hasil ini menyoroti pentingnya penerapan kebijakan yang menyelaraskan pengembangan sumber daya manusia dengan tuntutan pasar tenaga kerja untuk mengatasi masalah pengangguran terdidik.

The Society 5.0 era demands that the younger generation possess adaptive, persuasive, and self-confidence-based communication skills. Muhammadiyah Student Association (IPM) cadres, as agents of change within the student community, still face challenges such as public speaking anxiety, low self-confidence, and limited mastery of effective public communication techniques. This community service activity aims to improve the communication capacity of IPM cadres through hypno public speaking training, an innovative approach that combines communication techniques and psychological strengthening. The activity implementation method uses a participatory training approach with stages of needs analysis, preparation, training implementation, mentoring, and evaluation. The target group is 67 IPM cadres at the branch level. The results of the activity show a significant increase in self-confidence, message delivery structure, audience mastery, and courage to appear in public based on the results of the pre-test and post-test as well as direct observation. Participants also showed a more positive attitude change towards public communication activities. Thus, hypno public speaking training has proven effective as a strategy to strengthen the communication capacity of IPM cadres in facing the challenges of student leadership in the Society 5.0 era.

The purpose of this study was to determine and analyze the effect of wage levels, economic growth, and the Human Development Index (HDI) on income inequality through labor absorption in the Districts/Cities of Jambi Province from 2020-2024. The research method used is a quantitative descriptive analysis using panel data regression with the Fixed Effect Model approach.  The analysis method used Eviews 12. The results showed of that partially, income inequality in the Districts/Cities of Jambi Province is significant positive influenced by the wage level variable, while economic growth does not have a significant effect on income inequality. In addition, the Human Development Index (HDI) has a significant negative effect on income inequality. This implies that wage increases are actually followed by in income inequality. Meanwhile, economic growth has not been able to provide a broad income redistribution effect. Conversely, improving the quality of human development proves to be the most effective factor, as it is capable of significant reducing inequalirt levels. Simultaneously, the results show that the variables of wage levels, economic growth, and the Human Development Index (HDI) collectively have a significant influence on income inequality in Districts/Cities of Jambi Province.

This research aims to: 1) examine the development of the Human Development Index (HDI), Labor Force Participation Rate (LFPR), population size, economic growth, and the poverty gap index in the regencies/cities of Jambi Province from 2020 to 2024; and 2) analyze the influence of the Human Development Index, Labor Force Participation Rate, population size, and economic growth on the poverty gap index in the regencies/cities of Jambi Province. The research method employed is descriptive quantitative. The analytical tool used is Panel Data Regression through the Fixed Effect Model (FEM) approach, processed with EViews 12 software. The results show that the Human Development Index, population size, and economic growth have a significant influence on the poverty gap index in the regencies/cities of Jambi Province during the 2020-2024 period. Conversely, the LFPR does not have a significant effect on the poverty gap index in the region during the same period. These findings imply the importance of strengthening human resource quality through HDI improvement and more inclusive economic growth policies in Jambi Province. Furthermore, the government needs to evaluate the quality of available employment, as the high Labor Force Participation Rate (LFPR) has not yet been able to significantly reduce the depth of poverty.

Forensic entomology is a branch of forensic science that utilizes insects and other arthropods as biological indicators in death investigations. This discipline plays a crucial role, particularly in cases of advanced decomposition, where conventional forensic methods often face limitations. One of the key contributions of forensic entomology is estimating the post-mortem interval (IPM), or time since death, which can assist investigators in reconstructing the chronology of events. Furthermore, entomological analysis can provide information regarding the location of death, possible movement of the body, and environmental conditions surrounding the crime scene. Common approaches include analyzing insect succession patterns that appear according to the stages of decomposition of the body and determining the age of larvae based on their developmental stage and growth rate. Environmental factors, particularly temperature, humidity, and microhabitat conditions, significantly influence insect development and therefore must be carefully considered in the analysis. This literature review aims to discuss the basic concepts, functions, and role of forensic entomology in law enforcement. Furthermore, this review emphasizes the importance of accurate insect species identification to improve the validity and reliability of the resulting time-of-death estimates.

Penelitian ini membahas mengenai upaya perluasan infrastruktur teknologi informasi di Provinsi Papua kaitannya dengan peningkatan eksistensi ekonomi digital berdasarkan indikator infrastruktur teknologi informasi. Upaya ini didahului dengan melakukan klasterisasi wilayah di Provinsi Papua guna mengetahui kemiripan karakteristik infrastruktur setiap kabupaten/kota. Analisis klaster ini menggunakan pendekatan K-Means dan K-Medoids. Indikator infrastruktur teknologi informasi yang digunakan berupa variabel persentase keberadaan BTS, persentase kekuatan sinyal yang baik, persentase penerimaan sinyal internet, IPM, dan rasio produktivitas informasi dan komunikasi. Hasil analisis klaster menunjukkan terbentuknya dua klaster yaitu klaster 1 dengan infrastruktur teknologi informasi yang baik dan klaster 2 dengan infrastruktur yang kurang baik. Kabupaten/kota yang berada pada klaster 1 memiliki nilai rata-rata keberadaan BTS, kekuatan sinyal baik, penerimaan sinyal internet, IPM, dan rasio produktivitas informasi dan komunikasi yang jauh lebih tinggi daripada kabupaten/kota pada klaster 2.  Dengan adanya perbedaan ini tentu pemerintah di Provinsi Papua tetap harus konsisten untuk melaksanakan pemerataan pembangunan infrastruktur sekaligus sebagai bentuk pemerataan ekonomi dan perluasan ekonomi digital.

Increasing rice production is a national strategic priority given its role in maintaining food security and economic stability in the community. This study aims to analyze strategies for increasing rice production in Indonesia through a literature review approach based on relevant scientific articles. The analysis was conducted to identify the main factors that affect rice productivity and to formulate comprehensive strategies covering aspects of cultivation technology, land and water management, institutions and extension, production risk mitigation, and socioeconomic factors. The results of the study show that modern cultivation technology, especially the use of new superior varieties, the legowo planting system, and balanced fertilization, are the main foundations for increasing productivity. However, the success of technology implementation is largely determined by stable access to water, coordination of farmer institutions, intensive extension support, and the availability of capital and supporting infrastructure. Production risks due to climate change and pest attacks also have a significant impact on yield stability, requiring integrated mitigation strategies such as simultaneous planting and strengthening of integrated pest management (IPM). Overall, this study confirms that rice production enhancement strategies must be integrative, adaptive, and sustainable by strengthening the synergy between technology, institutions, and supporting policies. These findings are expected to serve as a basis for formulating more effective agricultural policies to boost national rice production.

The economy of West Sumatra Province has shown a significant decline in recent years, with the lowest growth rate on the entire island of Sumatra. This study aims to examine the influence of capital expenditure, unemployment, and the Human Development Index on economic growth in this region between 2014 and 2024. Using multiple linear regression and data sourced from the Central Statistics Agency (BPS) and the Directorate General of Fiscal Balance, the analysis shows that capital expenditure and unemployment have a significant negative impact on economic growth, while the Human Development Index (HDI) has no significant impact. Although capital expenditure varies, the decline in unemployment indicates a change in labor market conditions. This information indicates that government efforts to increase spending on infrastructure and public services are still ineffective in driving growth. Therefore, it is recommended that the government prioritize budget allocations in productive sectors such as infrastructure, tourism, and MSME development to help small businesses grow and advance through training, capital support, and technology implementation to ensure competitiveness and sustainability. Therefore, this study is expected to provide deeper insight into the elements that influence economic growth in West Sumatra and serve as a guide for further, more comprehensive research.  

The issue of global food security is increasingly pressing amidst climate change, population growth, and environmental degradation. The agricultural sector, particularly rice production, faces threats from pests and diseases that reduce crop yields and farmer incomes. Climate change exacerbates pest attack patterns, increasing crop losses. In addition, excessive use of chemical pesticides leads to pest resistance and negative impacts on ecosystems and human health. This study used a descriptive method with a qualitative approach, and the study population included farmers who cultivate rice fields and farmer groups that have received Integrated Pest Management (IPM) in Makale District, Tana Toraja Regency, with a population of 325 families. Respondents were randomly selected at 15% of the total population, with a sample of 49 farmers consisting of three farmer groups. The results showed that the role of farmer groups in IPM implementation in Makale District includes extension and training (65.5%), facilitating access to information and resources (69%), decision-making (67.5%), and conflict management and IPM cooperation (66.5%). Therefore, it is necessary to strengthen the implementation of the rice farming system, with support from the Government and the Tana Toraja Regency Agriculture Service to optimize the development of rice farming businesses.

The Human Development Index (HDI) functions as a key indicator for assessing the level of welfare and overall quality of life of the population within a specific region. This study aims to examine the socio-economic factors influencing HDI at the provincial level in Indonesia using a Gaussian kernel regression approach. A nonparametric method is employed due to its flexibility in capturing nonlinear relationships between the response and predictor variables without the need to assume a specific functional form. The analysis utilizes secondary data, including education, poverty, per capita expenditure, expected years of schooling, open unemployment rate, and gross regional domestic product for each Indonesian province. The findings from this study indicate that educational factors, particularly mean years of schooling and expected years of schooling, exert the most significant impact on HDI improvement. The estimated Gaussian kernel regression model demonstrates a coefficient of determination of 0.9954 and a residual standard error of 0.3468, reflecting a very high predictive accuracy and relatively low error. These results suggest that Gaussian kernel regression is an effective nonparametric approach for analyzing human development in Indonesia.

Agricultural practices that take local wisdom into account can provide significant benefits to the environment and society. Local wisdom plays a crucial role in sustainable agricultural practices. Time-tested knowledge and practices can provide solutions to the challenges faced by modern farmers, particularly in the context of climate change and environmental degradation. However, despite extensive research, a significant research gap remains, specifically how local wisdom in the Tumbang Datu Valley can be integrated into broader agricultural policies. The research used was descriptive with a qualitative approach. Qualitative research aims to understand social phenomena from the perspective of participants. Initial informants were selected purposively, selecting informants deemed to have extensive knowledge of the conditions in the village under study, using a snowball sampling technique. The first step was to identify key informants, who in this study consisted of 16 traditional leaders and farmers familiar with the culture in Lembang Tumbang Datu and directly involved in the practice. The local wisdom in the rice farming process, from pre-planting, planting, maintenance, to harvesting and post-harvest, is implemented based on ancestral heritage in line with environmental conservation. Farmers demonstrate their concern for nature through natural soil cultivation, selection of superior seeds, use of organic fertilizers, and implementation of efficient planting and irrigation systems. The application of Integrated Pest Management (IPM) and post-harvest technology demonstrates the farmers' ability to adapt to innovation while maintaining local wisdom. Overall, the rice farming system in Lembang Tumbang Datu demonstrates the synergy between tradition and modernity, supporting food security while preserving cultural heritage.

Perkembangan produktivitas tenaga kerja Indonesia menunjukkan tren positif dalam beberapa tahun terakhir, di mana pada periode 2018–2022 produktivitas meningkat sebesar 4,8% dengan capaian tertinggi pada tahun 2022 mencapai Rp86,55 juta per pekerja per tahun. Potensi kelautan dan perikanan yang besar menjadi salah satu modal penting dalam mendorong pertumbuhan ekonomi nasional. Proyeksi pertumbuhan Produk Domestik Bruto (PDB) Indonesia pada tahun 2025 diperkirakan berada pada kisaran 4,9% hingga 5%, yang didorong oleh belanja publik yang terarah serta peningkatan investasi di berbagai sektor strategis. Pada tahun 2024, jumlah lapangan kerja diperkirakan mencapai 144,64 juta orang dengan pertumbuhan lapangan kerja baru yang berkontribusi terhadap penurunan tingkat pengangguran. Indeks Pembangunan Manusia (IPM) mengalami peningkatan dari 71,92 pada tahun 2023 menjadi target 72,51 pada tahun 2025, yang mencerminkan perbaikan kualitas pendidikan, kesehatan, dan standar hidup masyarakat. Rasio Gini, sebagai indikator ketimpangan pendapatan, menurun menjadi 0,380 pada akhir tahun 2024, menunjukkan peningkatan pemerataan pendapatan. Dari sisi pelayanan kesehatan, data alokasi BPJS Kesehatan pada tahun 2024 mencatat 102,8 juta data sampel yang tersedia, mencerminkan cakupan layanan kesehatan yang luas. Sementara itu, dari sisi fiskal, total penerimaan pajak dalam APBN 2024 diperkirakan mencapai Rp2.309,86 triliun dengan realisasi sementara sebesar Rp869,50 triliun, di mana penerimaan pajak termasuk pajak penghasilan dan pajak pertambahan nilai menunjukkan tren peningkatan dalam beberapa tahun terakhir. Belanja negara diperkirakan mencapai Rp3.325,12 triliun yang diharapkan mampu mendukung pemerataan dan keberlanjutan pembangunan nasional.

Provinsi Jawa Tengah memiliki tingkat ketimpangan yang cukup tinggi, terutama di perkotaan. Data BPS Semester 2 Tahun 2024 menunjukkan rasio ketimpangan di perkotaan sebesar 0.392 dan di pedesaan 0.364, yang disebabkan oleh pembangunan wilayah yang belum merata. Pemerataan pembangunan menjadi fokus utama dalam RPJMN 2025–2045 menuju Indonesia Emas 2045, dengan "Pembangunan Kewilayahan" sebagai agenda ke-6 dari 8 agenda pembangunan, dengan tujuan untuk mewujudkan pemerataan dan keadilan pembangunan. Jawa Tengah memiliki 35 kabupaten/kota dengan tantangan pembangunan yang beragam. Untuk mencapai keadilan pembangunan, daerah tertinggal perlu diprioritaskan. Penelitian ini bertujuan memberikan rekomendasi daerah prioritas pembangunan menggunakan Sistem Pendukung Keputusan (SPK) dengan metode Entropy untuk pembobotan kriteria dan TOPSIS (Technique for Order by Similarity to Ideal Solution)  untuk penentuan prioritas. Kriteria yang digunakan meliputi aspek pendidikan, ekonomi, dan kesejahteraan masyarakat, seperti Umur Harapan Hidup (UHH), Harapan Lama Sekolah (HLS), Rata-rata Lama Sekolah (RLS), Pengeluaran per Kapita, Indeks Pembangunan Manusia (IPM), Persentase Penduduk Miskin, Tingkat Pengangguran Terbuka (TPT), serta Gini Ratio (rasio ketimpangan ). Hasil analisis menunjukkan bahwa Kabupaten Pemalang, Wonosobo, dan Banjarnegara merupakan daerah prioritas pembangunan. Hasil penelitian ini dapat menjadi rekomendasi bagi pemangku kebijakan untuk mendukung pembangunan yang lebih merata dan berkeadilan.

The quality of human resources is an important aspect in regional development, which is reflected through the Human Development Index (HDI). HDI is influenced by various factors, including the economic conditions and education of the community. This study aims to analyze the effect of Gross Regional Domestic Product (GRDP) per capita and Average Length of Schooling (RLS) on HDI in South Kalimantan Province. The data used comes from the Central Statistics Agency (BPS) with a coverage of 13 regencies/cities during the period 2018 to 2023. The analysis method used is multiple linear regression with the help of R Studio software. The results of the study show that both GRDP per capita and RLS have a significant effect on HDI, both simultaneously and partially. The resulting model has an adjusted R² value of 0.8627, which indicates that 86.27% of the variation in HDI can be explained by these two variables. The classical assumption test including linearity, conditional zero error expectation, absence of multicollinearity, autocorrelation, homoscedasticity, and residual normality shows that the model used has met all the criteria as the Best Linear Unbiased Estimator (BLUE). Thus, this regression model is valid for use in estimating and making inferences on the factors that influence the HDI in South Kalimantan Province. This finding confirms that increasing education and economic growth are strategic steps in accelerating human development in South Kalimantan.

Rice is a primary commodity in Indonesia's agricultural sector, playing a strategic role in national food security. However, rice productivity in Jombok Village, Ngantang District, Malang Regency, has declined due to an infestation of rats (Rattus argentiventer). The uncontrolled rat population has caused damage to crops from the vegetative to the generative stages, resulting in a decrease in harvest yields. The limited understanding among farmers about effective pest control strategies has worsened the situation. The community service aims to enhance farmers' knowledge and skills in controlling rat pests through an Integrated Pest Management (IPM) approach. The methods used include socialization, counseling, field training, and the evaluation of pest control techniques involving mechanical, biological, and chemical methods. Evaluation results showed that farmers' understanding improved from 40% to 85% after the training. Furthermore, after one month, the rat population decreased by 40%. These findings suggest that education and hands-on practice contribute to the effectiveness of pest control and increased rice productivity. Therefore, a farmer empowerment-based approach should continue to be implemented to support the sustainability of agriculture in agrarian regions.

A recent study analyzed the factors influencing poverty rates in nine cities in East Java from 2020 to 2024, with a specific focus on the unemployment rate, Human Development Index (HDI), and industrial sector growth. Utilizing secondary panel data and a Random Effect Model (REM) for analysis, the research yielded significant insights: higher unemployment positively and significantly correlates with increased poverty, whereas improved HDI levels lead to a significant reduction in poverty. Interestingly, despite growth, the industrial sector's impact on poverty reduction was found to be insignificant. Therefore, policy recommendations stemming from this study highlight the crucial need for proactive measures to curb unemployment, continuous efforts to enhance human resource quality through HDI initiatives, and strategies to ensure industrial growth more directly translate into job creation and improved community well-being..

This study aims ti analyze the effect of the Human Development Index (HDI), Gross Regional Domestic Product (GRDP), and Open Unemployment Rate (OUR) on the poverty rate in Gorontalo Province. The study uses panel data from six districts/cities over the period 2017–2024 and is analyzed using panel data regression methods. Based on the results of the Chow test, Hausman test, and Lagrange Multiplier test, the best model used is the Fixed Effect Model (FEM). The analysis results show that simultaneously, the three independent variables have a significant effect on the poverty rate. However, partially, only the GRDP variable has a negative and significant effect on poverty. Meanwhile, the HDI and OUR variables show a negative but statistically insignificant effect on the poverty rate in Gorontalo Province.

This study aims to analyze the influence of population size, Human Development Index (HDI), and Open Unemployment Rate (OUR) on poverty levels in regencies/cities of Special Region of Yogyakarta during 2018-2023 period. The research employed quantitative design with panel data regression analysis approach across five regencies/cities in DIY. Secondary data were obtained from official publications of Statistics Indonesia Yogyakarta Province and analyzed using Fixed Effect Model and Random Effect Model with Stata 17 software. The research findings indicate that HDI has negative and significant effect on poverty level, suggesting that improvement in human resource quality effectively reduces poverty. OUR proved to have positive and significant effect on poverty, confirming that increased unemployment raises poverty levels. Conversely, population size shows no significant influence on poverty in DIY. These findings provide strategic implications for local government to prioritize investment in education and health sectors as well as job creation programs in poverty alleviation efforts. High inter-regional heterogeneity indicates the necessity for policy approaches tailored to specific characteristics of each regency/city in DIY.

This study analyzes the effect of population and Human Development Index (HDI) on poverty in Jambi Province in the period 2018–2024. Using panel data from 11 districts/cities and regression methods with the best approach Random Effect Model (REM), the results show that poverty in Jambi tends to fluctuate. Tanjung Jabung Timur has the highest poverty rate, while Sungai Penuh City has the lowest. This study provides empirical understanding to support the formulation of more targeted poverty alleviation policies at the regional level.