Sub-district Level Research Articles

Sinkronisasi System Perdamaian Khusus Tindak Pidana Pencurian Kelapa Sawit di Wilayah Polsek Bahar Selatan Melalui Hukum Adat Setempat dan Hukum Positif Indonesia

Palm oil theft was resolved in a customary manner by the people of Bahar Selatan Muara Jambi rather than through the criminal justice system starting from the Bahar Selatan Police so they were interested in doing research. The aim of the research is to understand and analyze the Settlement of Criminal Cases according to Selata customary law, to examine the actions and efforts in the jurisdiction of the Bahar Police, the research method uses empirical juridical. Completion of Criminal Cases Based on Customary Law in the Legal Area of the South Bahar Police with customary institutions at the sub-district level of South Bahar on the basis of considerations of theft caused by the difficulty of finding work, due to the number of residents who do not match employment opportunities, the large number of people who drop out of school, because of school graduation certificates is a formal requirement for finding a job. Therefore people use shortcuts, namely working a little and making a lot of money. even if you commit an unlawful crime of theft. The Attitudes and Actions of the Police of the Bahar Selatan Police on the Report on Completion of Criminal Theft according to Customary Law while continuing to carry out the minutes through the restorative justice process and the results of peace through adat as a witness to the tuo tengganai traditional institutions of the South Bahar Sub-District The efforts of the South Bahar Police in Providing an Understanding of the Synchronization of Local Customary Law and Indonesian Positive Law in Enforcing the Criminal Law of Palm Oil Theft in the South Bahar Police Area through outreach through socialization by providing an understanding of procedures Guidelines for the mechanism for implementing restorative justice in Enforcing the Criminal Law of Palm Oil Theft in the South Bahar Police Area the suggestion put forward is that involvement is needed the community, traditional institutions and stakeholders of Bahar Selatan in carrying out the settlement of criminal cases of theft, bearing in mind that the community (environment) is an object that is directly affected by a crime, and also that the community can participate in the settlement process from start to finish, such as: restoration of rights victims and vindication of perpetrators. Simultaneous increase in police officers carrying out socialization in the midst of society the importance of restorative justice in the context of synchronizing peace with traditional institutions.

ЧИННИКИ ТА ПЕРЕДУМОВИ ФОРМУВАННЯ НОВИХ ТИПОЛОГІЧНИХ ОЗНАК РЕГІОНУ СХОДУ УКРАЇНИ

The prerequisites and factors of the formation of a new type of region in the east of Ukraine have been studied. The principles and tasks of effective regional policy in modern conditions have been established. Typological differences make it possible to determine the patterns of functioning, formation and development of regions. Problems and tasks of the development of regions that are solved in the process of urban planning depend on the type and main features of the function and shape of the region. After the occupation, the state will receive two factors that will shape the problem of changing the territorial planning organization of the region and region. This is the border factor and the reintegration factor of the region that was under occupation for a long time. Trends in the development of urbanized territories and urban agglomerations strengthen the processes of formation of territorial settlement systems at the sub-regional, regional and sub-district levels. Generalized goals of regional policy determine the forecast strategy of the region's development. The structure of the regional forecast should include the following types: demographic, natural resource, economic. The general scheme of planning the territory of Ukraine aims to establish state priorities regarding rational types and modes of use of the country's territory, taking into account socio-economic needs, environmental limitations, resource opportunities and regional differences. The general scheme defines the prerequisites that contribute to the use of the territory of Ukraine. For the eastern region of Ukraine, there is a task of functional arrangement of the planning structure, taking into account the change in form. The main formative aspect is the border of the state. Objects, areas of military purpose, which form the supporting frame of the security belt, also become a derivative element. The urban planning analysis allows us to conclude that the border region will have a configuration with an impact zone of up to 50 km - the first zone of existential danger. Up to 200 km of the general strip of the border region, which will feel the influence of the border with the enemy state. In the first zone, the implementation of measures of a restrictive nature, structural transformation of communication routes and roads, pipeline infrastructure, etc., a general decrease in the population and network of settlements is expected. In the general strip, inter-village connections are formed, oriented in the direction of the center. A potential threat is the deindustrialization of the region, the decline of single settlements focused on the coal mining industry.

Geospatial Big Data Approaches to Estimate Granular Level Poverty Distribution in East Java, Indonesia using Machine Learning and Deep Learning Regressions

One of the economic development the focus of the Indonesian government's efforts is for reducing poverty. In Indonesia, collecting poverty data uses the conventional method, the name is National Socio-Economic Survey (SUSENAS) which takes a large cost, time, and effort. To overcome these limitations, there is a need for additional data to provide more detailed poverty data. Recent studies show that the use of geospatial big data could identify poverty at a granular level, with a lower cost and faster update because of their unique and unbiased capacity to identify physical and socioeconomic phenomena. The integrated multi-source satellite imagery data such as the normalized difference vegetation index (NDVI) for detecting rural areas based on vegetation, built-up index (BUI) for identifying urban areas through building distribution, normalized difference water index (NDWI) for land cover detection, day time land surface temperature (LST) for identifying urban regions based on surface temperature, and pollutants such as carbon monoxide (CO), nitrogen dioxide (NO2), and sulfur dioxide (SO2) to evaluate economic activities based on pollution. Additionally, point of interest (POI) density and minimum POI distance are used to measure area accessibility. Therefore, the contribution of this research is to implement the utilization of geospatial big data to estimate the numbers of poverties at a granular level to the 666 sub-districts in East Java Province using machine learning and deep learning regression models. The evaluation results to estimate sub-district level poverty shows that the best model development using Support Vector Regression (SVR) in machine learning was the best root mean squared error (RMSE), mean absolute error (MAE), and mean absolute percentage error (MAPE) values of 0.365, 0.293, and 0.032 with R-squared of 0.59 and MLP in deep learning algorithm with 0.444, 0.345, and 0.039 values of RMSE, MAE, and MAPE with R2 0.52. In addition, the results of visual identification revealed that high estimates of lower poverty are typically found in urban areas with high accessibility, and these areas are not spatially deprived areas with limited accessibility.

Strengthening Religious Values Based on Youth Organizations to Prevent Devious Behavior of The Young Generation

The challenges of the young generation today are faced with the age of the younger generation itself, where the age of the younger generation is a transitional age from adolescence to adulthood. At this time, of course, the younger generation does not have mature emotional stability, so they are often trapped in situations that lead to deviant behavior, such as drugs, free sex, brawls and other deviant behavior. One solution that can be offered to prevent deviant behavior is through instilling religious values, so this research is urgent to carry out. The aim of this research is to describe how religious organizations implement the cultivation of religious values in an effort to prevent deviant behavior of the younger generation in Wonosobo Regency. The method used in this research is a qualitative research approach which includes stages. The stages of this research method include: (1) preparation; (2) data collection; (3) data analysis; and (4) reflection. The results of this research were that at the beginning of its formation, activities were carried out including joint learning across classes and departments. Through weekly overnight shifts at group members' homes. During these rotating stays, activities include visiting local ulama to gain knowledge. When you return from the gathering, you can study together using discussion or question and answer methods. The peak activity is the joint prayer (mujahadah) after the tahajud at midnight. Apart from routine activities, this group also organizes incidental activities involving the general public such as halal bihalal, seminars and commemoration of other Islamic holidays. Perhaps it was unique for a group of students of that age to have the courage to organize activities featuring religious and youth figures at sub-district level.

Optimalisasi Pengelolaan Data Administrasi Masyarakat melalui Aplikasi AppSIMDUK (Studi Kasus RT 2 RW 5 Kelurahan Koto Luar Pauh Padang)

Rukun Tetangga (RT) is the smallest unit of government structure in Indonesia which is at the sub-district or village level. RT is an organisation responsible for providing services to the community at the local level. Each RT has duties and functions in terms of administration and services to residents in the surrounding environment. This community service activity attempts to implement the Village Government, Business and Financial Information System (AppSIMDUK) application in RT 2 RW 5 Koto Luar Subdistrict, Pauh Padang District. This activity is an endeavour to improve the local administration of community administrative data. Implementation methods include preliminary studies to understand requirements, application development, training and simulation of application use, implementation in the field, as well as monitoring and evaluation of activities. The results of this activity show that respondents, notably RT heads and appointed officers, gave positive responses to the use of the application. However, there are recommendations to provide additional training sessions or manuals to increase the efficacy of using the application. In addition, a number of respondents suggested aesthetic enhancements and the addition of community-related elements. Thus, the implementation of AppSIMDUK has the potential to improve the effectiveness of local government administration

Mapping fine-scale anthropogenic heat flux in Shanghai by integrating multi-source geospatial big data using Cubist

Anthropogenic heat flux (QF) significantly affects urban surface energy budget. However, refined QF data are lacking for most cities across the world. To address this deficiency, this study firstly estimated the spatial distribution of the annual average QF from different sources of industry (QFI), buildings (QFB), transportation (QFT) and human metabolism (QFM) at district and sub-district level based on multi-source data over Shanghai in 2018. Then, a Cubist machine learning based model was developed to disaggregate QF into 1 km dataset by fusing points-of-interest (POIs) geospatial big data and multi-source remote sensing data. Results showed that the district-level QFB contributes most to the total QF in city center, while QFI dominates in suburbs. High value areas of 1 km gridded QFI are mainly distributed outside the central urban area. QFT presents a divergence pattern from the city center to the outside. The total anthropogenic heat flux is highest in the city center with maximum of 523.03 W m−2. Variable importance analysis revealed that POIs are important for estimations of QF. Compared with previous studies, QF values presented here are within the range of exiting results but reveal a more reasonable spatial distribution. This study provides new aspects for spatially refined quantifications of QF that can supplement future studies on urban heat island and urban climate numerical modeling.

Assessing Progress in Nutrition: Proposing a Sub-district Tool for Monitoring and Governance

A lot of data is collected at state, district, block, and village levels across India as part of the monitoring and evaluation process for various government schemes ongoing in the country. Under the department of Women and Child Development in Karnataka a lot of data on children under 6 years of age and pregnant and lactating women is collected by Aanganwadi workers in the state. Although the current process of data collection, its analysis and interpretation require much more fiscal and human investment, it continues to generate large amounts of data. Interpretation of these data occur largely at the national and sub-national levels ignoring district and sub-district level variations in health and nutrition indices. Rarely are the results of this data analysis shared with district and sub-district level officials as they are not involved in policy formation. These officials also do not have training in data analysis and its interpretation and hence unable to use the vast sets of information available to them. This article is an effort to develop a monitoring and evaluation tool that uses easily available, taluk level data, from various sources to compute a cumulative nutrition index that can serve as a dipstick for monitoring nutrition status by block/district level officials.

Machine learning and data augmentation in the proxy means test for poverty targeting

Recent years have seen increased interest in the use of alternative data sources in the definition and production of official statistics and indicators for the UN Sustainable Development Goals. In this paper, we consider the application of data science to the production of official statistics, illustrating our perspective through the use of poverty targeting as an application. We show that machine learning can play a central role in the generation of official statistics, combining a variety of types of data (survey, administrative and alternative). We focus on the problem of poverty targeting using the Proxy Means Test in Indonesia, comparing a number of existing statistical and machine learning methods, then introducing new approaches in the spirit of small area estimation that utilize area-level features and data augmentation at the subdistrict level to develop more refined models at the district level, evaluating the methods on three districts in Indonesia on the problem of estimating 2020 per capita household expenditure using data from 2016–2019. The best performing method, XGBoost, is able to reduce inclusion/exclusion errors on the problem of identifying the poorest 40% of the population in comparison to the commonly used Ridge Regression method by between 4.5% and 13.9% in the districts studied.

Mechanism of Regulation on the Marketing of the Breast–Milk Substitutes: a Lesson Learn from one Province in Northern of Thailand

Objectives: To investigate the existing model and mechanism for surveillance of the marketing of food for infants and young children in Phayao province, Thailand according to The Control of Marketing of Infants and Young Children Food Act, B.E. 2560 (2017). Method: This research was a qualitative research study which collected data through an in-depth interview and a focus group with 7 informants: officers of Phayao Provincial Public Health Office, registered nurses, public health technical officers, and consumer network officers. Results: Phayao province had a control model and mechanism on the marketing of food for infants and young children according to The Control of Marketing of Infants and Young Children Food Act, B.E. 2560 (2017) as follows: (1) For passive surveillance, there was a complaint center at the Provincial Public Health Office as the main coordinator to receive complaints and prepare files of violation cases. (2) Active surveillance included visits to target places such as shops and child development centers, and visits to enforce maternal and child health standards. Finally, (3) networking and knowledge dissemination were implemented through the first 1,000 miracle days of life project. The implementational model for controlling the marketing of food for infants and young children should be as follows: (1) Be compliant with laws. (2) Determine clear policies at the departmental levels. (3) Work collaboratively at the provincial, district, and subdistrict levels. (4) Increase participation of related people for surveillance of offences. (5) Empower operational networks, entrepreneurs, and other people to gain knowledge and be compliant with the law in a suitable way. (6) Use communication technology to support implementation. Conclusion: Phayao province has a model and mechanism to control the marketing of food for infants and young children in compliance with the law. The model and mechanism should be developed according to the area contexts to support the implementation to be more effective.

BETA-BINOMIAL MODEL IN SMALL AREA ESTIMATION USING HIERARCHICAL LIKELIHOOD APPROACH

Small Area Estimation is a statistical method used to estimate parameters in sub-populations with small or even no sample sizes. This research aims to evaluate the Beta-Binomial model's performance for estimating small areas at the area level. The estimation method used is Hierarchical Likelihood (HL). The data used are simulation data and empirical data. Simulation studies were used to investigate the proposed model. The estimator's Mean Squared Error of Prediction (MSEP) and Absolute Bias (AB) estimator values determine the best estimation criteria. An empirical study using data on the illiteracy rate at the sub-district level in Bengkulu Province. The results of the simulation study show that, in general, the parameter estimators are nearly unbiased. Proportion prediction has the same tendency as parameters. Finally, the HL estimator has a small MSEP estimator. The results of an empirical study show that the average illiteracy rate in Bengkulu province is quite diverse. Kepahiang District has the highest average illiteracy rate in Bengkulu Province in 2021.

Community Empowerment Strategy to Encourage Involvement in Subdistrict Organizations: An Overview in the Tingkir Tengah Subdistrict Area, Salatiga City

This research focuses on efforts to empower the community in Tingkir Tengah, especially in the context of the SUPER TANGGUH Quality Family Village (KB). The aim of this program is to improve family welfare with a holistic approach, including sustainable economic, social, cultural and environmental aspects. There are six main objectives in this program, namely improving quality of life, welfare, harmony in the family, active community participation, environmental awareness, and improving infrastructure. By involving various groups such as Family Development for Toddlers, Teenagers, the Elderly, Youth Information and Counseling Center, and Efforts to Increase Prosperous Family Income, Kampung KB SUPER TANGGUH manages RT and RW using Rumah DataKu technology and Group Work Initiatives (POKJA). This structured data supports program management more efficiently. Apart from providing an overview of Tingkir Tengah Subdistrict, it is hoped that this research can become an example of an effective empowerment model to increase community participation and welfare at the subdistrict level

Analysis of the Role of Communities in Social Community Development in Kefamenanu City, Timor Tengah Utara District

This research aims to explain the role of the community in social community development in Kefamenanu City, North Central Timor District. The method in the research uses descriptive qualitative to explain the phenomena that occur. Data collection techniques through primary data in-depth interviews and secondary data by referring to journals, books, and online media. Data analysis techniques used in the research through data reduction, data presentation, and conclusion. This finding shows that Karang Taruna is a youth organization that plays a role in various social activities and development programs in Indonesia. Karang Taruna is involved in several community development projects based on invitations from local governments at both the sub-district and village levels, such as tourism development, social activities during the past COVID-19 pandemic, and social conflict resolution. Nevertheless, the role of Youth Organizations in Kefamenanu City still needs more resources as initiators or initiators of the movement, so the role of Karang Taruna has yet to be seen as the spearhead of superior generational change.

Effectiveness of KTP Services in the Sub-District

E-KTP services at the sub-district level still leave complaints from the public regarding the unsatisfactory service provided, especially service times and service procedures, which still need to be fully understood by the public. This research aims to analyze the effectiveness of E-KTP services at the sub-district level by taking the case of Ciawi District, Bogor Regency, West Java, Indonesia. This research uses a descriptive quantitative approach method, collecting data through observation, interviews, and questionnaires from 41 respondents from the Ciawi District community who were taken by accidental sampling. The research results show data that the effectiveness of E-KTP services in the Ciawi sub-district is considered adequate. This assessment is measured based on three indicators: the source approach with an average value of 3.8, the process approach with an average value of 3.7, and the target approach with an average value of 3.7, from the highest score of 5. However, several areas for improvement in this service still originate from human resource capacity. Therefore, this research recommends that there is a need to increase employee capacity through job training, increasing the knowledge and abilities of officers regarding public services, and improving employee performance.

Silvicultural decisions to formulate forest restoration strategies using geospatial approaches

Restoring deforested and degraded forests is mandatory to guarantee the future of tropical forests. In this study, we formulated silvicultural strategies for restoring tropical forest ecosystems using geospatial approaches to detect deforested and degraded forests based on landscape circumstances. Depending on the overlaid map of the current land cover and its land status, we categorized our forest restoration activity map into three main groups: reforestation, forest rehabilitation, and none. Based on the forest vulnerability, as evidenced by slope and erosion risk, we also allocated the ranks of restoration location into three priorities: first, second, and third. We believe that geospatial modeling maps can assist decision-makers in selecting locations and the most important goals for reforestation in order to reduce greenhouse gas (GHG) emissions in land-based sectors. In order to exactly convey the geospatial data of forest at more detailed landscape scales, such as sub-district and village levels, as well as forest management units, these study need to be enhanced using high-resolution satellite or aerial imageries.

Pelatihan Pembuatan Sistem Informasi Kelurahan untuk Meningkatkan Layanan Publik di Kelurahan Anreapi, Polman, Sulawesi Barat

Kelurahan is a form of local government in Indonesia which act as a servant in sub-district level. As an administrative unit of government, especially for the sub-district level, Kelurahan is responsible for providing various public services which are directly useful to the local community. One of the public services provided by the kelurahan includes residential administration. Our PkM team conducted workshop in establishing information systems to improve public services in Kelurahan Anreapi, Polman, Sulawesi Barat. The activity consists of three stages. The first stage is the preparation of workshop, ie. Searching platforms for information system, registrating the domain, and creating the website. The second stage is the workshop activity, and the third is evaluation of workshop’s activity. This activity significantly impacts accelerating participants' knowledge and skills regarding the information systems.

The Association between Compound Hot Extremes and Mortality Risk in Shandong Province, China: A Time-Series Analysis

Background: The occurrence of compound hot extreme (CHE) events in China is increasingly frequent. This study aimed to investigate the association between CHEs and all-cause mortality in Shandong Province and to estimate the attributable excess deaths. Methods: We collected daily data on weather, air pollution, and all-cause mortality at the subdistrict level in Shandong Province from 2013 to 2018. A CHE was defined as both daily maximum and minimum temperatures being higher than their historical 90th percentiles during 2013–2018 hot seasons. A case time-series analysis with a distributed lagged non-linear model was applied to analyze the subdistrict-specific association between different hot extremes and mortality risk, which were then pooled at the province level using meta-analysis. Results: Hot nights (RR = 1.44, 95%CI: 1.35–1.53) and CHEs (RR = 1.77, 95%CI: 1.64–1.90) were significantly associated with an increased mortality risk. CHEs had a greater effect for females (RR = 1.99, 95%CI: 1.81–2.19) and the elderly (>74 years) (RR = 2.14, 95%CI: 1.93–2.38) than their counterparts, respectively. Cardiovascular and respiratory deaths were more susceptible to CHEs than other deaths. Each year, 4888 (95%CI: 4133–5811) excess deaths in Shandong Province were attributable to CHEs, accounting for 2.60% (95%CI: 2.20–3.10%) of all-cause deaths and equating to 50 (95%CI: 42–58) deaths per 1,000,000 residents. The CHE-related mortality burden varied across subdistricts, with the highest occurring in the southeastern area and the lowest occurring in the northeastern and southwestern regions. Conclusion: CHEs and hot nights were substantially associated with excess deaths in Shandong Province, especially for females, the elderly, and residents living in the southeastern area. Our findings may facilitate the development of a heat alert warning system and preventive measures for vulnerable populations.

SISTEM INFORMASI LAYANAN ADMINISTRASI DESA KOTO TENGAH SEMERAP BERBASIS WEB

The Koto Tengah Semerap Village Office is a government agency at sub-district level, until now it still has several problems in data management, one of which is that the process of submitting correspondence for the benefit of residents is still manual and has the effect of requiring a long processing time until the letter is completed, because residents have to come to at the village office repeatedly, namely at the time of delivery and at the time of collecting the letter. Another problem is that when storing citizen data, it is still manual and can result in documents being damaged, lost and the risk of data not being updated. For this reason, it is necessary to have an information system that can be accessed by interested parties, both within the village and outside the village environment. The design of this system aims to implement and develop an information technology system as a platform for digitizing document submission in Koto Tengah Semerap Village, in order to overcome or minimize errors in the document recording process for local communities and shorten the time associated with administrative services to make it easier, faster and more efficient. In designing this website-based document management information system, the system development method used is Rapid Application Development and the PHP programming language.

Improving health outcomes and quality at the subdistrict level: Evaluation of the ‘3 feet model’ in Waterberg District, Limpopo Province, South Africa

Background. There is a gap in understanding of potential roles and actions at the subdistrict level to improve quality of care and health outcomes in South Africa (SA). Objectives. To report on the evaluation of a subdistrict health system-strengthening initiative that aimed to reduce maternal, newborn and child mortality, referred to as the ‘3 feet model’ in Waterberg District, Limpopo Province, SA. The model is centred on systems of real-time morbidity/mortality surveillance and co-ordinated responses. It was implemented in three of five Waterberg subdistricts over an 18-month period in 2021 and 2022. Methods. A prospective, process-tracing evaluation was conducted jointly between researchers, intervention partners and subdistrict decision-makers. Data sources combined ~100 hours of researcher participant observation, interviews with 14 health system actors, structured reflections by three subdistrict managers and information from the routine District Health Information System. Sources were triangulated and analysed based on a priori hypotheses on mechanisms of action. Results. Following uptake of the model, the perinatal mortality rate (PMR) improved by 28.8%, 11.5% and 28% in the three subdistricts, respectively, while the PMR worsened in two of four neighbouring subdistricts. Plausible factors in implementation successes were the presence of stable and committed hybrid (clinical-managerial) subdistrict leaders and their ability to overcome entrenched silos between a variety of system actors; new collaborative relationships between primary healthcare facilities, hospitals and emergency medical services; the generation and packaging of information in ways that directed responses (‘actionable intelligence’); and support from senior district managers. Conclusion. While not advocating for a cut-and-paste approach to improving quality and outcomes, positive experiences in Waterberg District suggest that the principles and mechanisms of action of the 3 feet model have wider relevance for policy and practice, especially as emphasis shifts towards the subdistrict as a core unit of population health and wellbeing in SA.

Assessing Land Cover Change Projections and Its Suitability with Urban Spatial Pattern Plan Using Google Earth Engine and Cellular Automata in the National Activity Centres on Sumatera Island

The national activity centres (Pusat Kegiatan Nasional – PKN) areas, especially in Sumatera Island, are closely related to the land cover change phenomenon. This study aimed to identify the land cover change projection and assess its suitability with the spatial pattern plan in the “Rencana Tata Ruang Wilayah” (RTRW) which focuses on the study area including Medan, Pekanbaru, and Padang. The integration of remote sensing data, geographic information systems (GIS), and spatial analysis techniques are used to identify and assess the patterns of land cover change over the specific period. The analysis of land cover change patterns is performed using Landsat-7 and Sentinel-2A imagery data which processed in Google Earth Engine (GEE). Furthermore, Cellular Automata and Artificial Neural Network (CA-ANN) modelling is used to identify land cover prediction using transition rules like main road as driving factor then followed by overlay analysis to assess its suitability with the spatial pattern plan. The result shows the different level of each land cover classification in sub-district level. The proportion of the land cover projection suitability in Medan at 2042 was 84,92%; in Pekanbaru at 2040 was only 58,51%; while in Padang at 2030 was 77%. This findings can be able to serve as a suggestion for stakeholders in formulating effective strategies for spatial planning evaluation and managing land cover uses, especially in several national activity centers in Sumatera.

Implementasi Strategi Dinas Keluarga Berencana Pemberdayaan Perempuan dan Perlindungan Anak dalam Pengembangan Gerakan Perlindungan Anak Terpadu Berbasis Masyarakat di Kabupaten Serang

The Community-Based Integrated Child Protection Movement is one of the programs owned by the Serang Regency DKBPPPA regarding efforts to prevent children from acts of violence. The PATBM movement is a movement created by the Indonesian Ministry of Women's Empowerment and Child Protection which is run by communities in the form of groups living at the village or sub-district level. The problems found in this research were cases of child violence in Serang Regency which were high in the last three years (2020-2022), the PATBM movement which only existed in 68 villages out of a total of 326 villages in Serang Regency, the absence of direct socialization from the Regency DKBPPPA Serang is related to the introduction of the PATBM Movement in the community, the lack of commitment from stakeholders regarding the PATBM Movement in Serang Regency, the implementation of the PATBM Movement and the budget which is carried out simultaneously with other programs. The theory used is Strategic Management theory in the Strategy Implementation dimension according to Wheelen and Hunger (2014:11) which has three indicators, namely program, budget and procedures using descriptive qualitative research methods. From this research it is known that the strategy carried out by the Serang Regency DKBPPPA in developing the PATBM Movement is quite good by collaborating with government and non-government institutions. The form of activities carried out is by forming, coaching, evaluating, and monitoring. Meanwhile, activities in the community are handed over to each village that has been formed. Then, regarding the uncertain and limited budget. This makes the Serang Regency DKBPPPA direct the use of village funds for implementing PATBM activities in the community. And for DKBPPPA procedures, Serang Regency follows guidelines from the center and does not have special procedures.