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All Journal Jurnal Administrasi Publik (JAP) BULLET : Jurnal Multidisiplin Ilmu Diakoneo: Jurnal Pengabdian kepada Masyarakat Jurnal Statistika Terapan (JSTAR) Theta: Journal of Statistics
Agung Satrio Wicaksono
Universitas Sultan Ageng Tirtayasa
Humanities Computer Science & IT Economics, Econometrics & Finance Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Medicine & Pharmacology Nursing Social Sciences Other

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Comparative Study Between Pre and Post Implementation of Several Policies: Air Quality Index in DKI Jakarta Hilma Mutiara Winata; Agung Satrio Wicaksono
Jurnal Administrasi Publik Vol 14, No 2 (2023): JURNAL ADMINISTRASI PUBLIK
Publisher : Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31506/jap.v14i2.22689

Abstract

Air quality in DKI Jakarta is currently trending. On August 10, 2023, Jakarta was ranked as the city with the worst air quality in the world. This condition causes a lot of anxiety among the public and disrupts health. Therefore, people in the capital city are asking the government to act quickly and precisely to overcome the problem of poor air quality. The response given by the government to deal with air pollution in DKI Jakarta is to provide several policies. Starting from August 11 until the end of August 2023, the government will issue up to 7 policies that are expected to overcome the pollution problem in the capital city. This research wants to see whether there is a difference in air quality in DKI Jakarta before and after the follow-up provided by the government. Daily recorded air quality index data is taken from a database, namely AQAIR. The data obtained was analyzed using the Mann-Whitney Test to see whether there were differences before and after the government issued the policy. After analyzing the data, the results showed that there was not sufficient evidence to state that there were significant differences related to air quality in DKI Jakarta before and after the policy issued by the government. Based on this, it seems that the policies issued by the government to overcome pollution are still not enough or not appropriate. Therefore, other alternative solutions are needed so that air quality problems can be resolved as soon as possible.
Pengelompokkan Kabupaten/Kota di Provinsi Nusa Tenggara Timur Berdasarkan Indikator Indeks Pembangunan Manusia Menggunakan K-Medoids Clustering Agung Satrio Wicaksono; Anne Mudya Yolanda
Jurnal Statistika Terapan (ISSN 2807-6214) Vol 1 No 1 (2021): Jurnal Statistika Terapan
Publisher : Badan Pusat Statistik Provinsi NTT

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Abstract

The Human Development Index (HDI) is an indicator to measure success in improving the quality of human life. The utilization of HDI indicators can be used to classify observations into clusters based on several aspects, such as health, education, and economy. The results of the clusters can be used as a reference for evaluating government policies. This study uses HDI indicator data in the East Nusa Tenggara (NTT) Province, which consists: Life Expectancy, Average Years of Schooling, Expected Years of Schooling, and Per Capita Expenditure. The outliers were detected in each variable. Therefore the k-medoids clustering method was used in this study because of their robustness on outliers. The clustering results show that there are 4 clusters formed, with each cluster describing a unique character. Cluster 1 describes the condition of the districts in general. Cluster 2 describes the condition of the districts that are one step ahead of others, which are expected to transform into cities in the future. Cluster 3 describes the condition of the district that needs more attention from the government in all sectors because all the HDI indicators are on the lowest value comparing to the other clusters. On the other hand, cluster 4 describes urban areas which have more developed than other areas, in terms of health, education, and economy. The clustering results can be used as a suggestion for evaluating government policies that have been implemented, in order to create structured equitable development based on data and regional characteristics as well.
Pengelolaan Sampah Di Kota Tanggerang : Upaya Penerapan Kebijakan Publik Faradila Ananda; Rahmawati; Agung Satrio Wicaksono
BULLET : Jurnal Multidisiplin Ilmu Vol. 4 No. 2 (2025): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The purpose of this study is based on the formulation of the problem that has been determined, namely to find out how to implement the Waste Management Policy in Cipondoh District, Tangerang City. This study uses a qualitative research design with the intention of understanding and delving deeper into the Implementation of Waste Management Policy in Cipondoh, Tangerang City. The data collection technique in this study uses primary sources and secondary sources. The tools used for data collection consist of: interview guides. The results of the research on the implementation of the waste bank management policy in Cipondoh District, Tangerang City, which was analyzed using the policy implementation theory of George C. Edward III, showed that the implementation of the policy has shown significant efforts, but still faces various challenges in each of the main variables. Overall, the implementation of the waste bank management policy in Cipondoh District still requires strengthening in terms of public communication, human resource capacity, implementation incentives, and bureaucratic consistency. A more inclusive participatory approach and adaptive technical policies are needed to increase the effectiveness of community-based waste management through waste banks. With the strengthening of the four Edward III variables, it is hoped that the waste management policy can run more optimally and sustainably.
Pengaruh Implementasi Program Gerbang Mapan (Gerakan Pembangunan Masyarakat Pantai) Terhadap Pendapatan Masyarakat Di Desa Ketapang Kecamatan Mauk Kabupaten Tangerang Silpiyah; Agus Sjafari; Agung Satrio Wicaksono
BULLET : Jurnal Multidisiplin Ilmu Vol. 4 No. 2 (2025): BULLET : Jurnal Multidisiplin Ilmu
Publisher : CV. Multi Kreasi Media

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Abstract

The Gerbang Mapan program has been quite successful in its development, especially in the infrastructure sector, as its development has been evenly distributed due to its focus on planning. However, there are still many issues that have not been resolved. As a result of these issues, the Gerbang Mapan programme has not yet shown improvement in two main aspects, namely the economy and community empowerment. This study aims to determine the implementation level of the Gerbang Mapan programmeme, community income, and the programmeme’s impact on community income in Ketapang Village, Mauk Sub-district, Tangerang Regency. The research method used is quantitative. The sample consists of 98 respondents, with a purposive sampling technique employed. Data analysis in this study uses simple regression analysis with SPSS 26 software. The implementation of the Gerbang Mapan programme and community income in Ketapang Village, Mauk District, Tangerang Regency, are categorised as “very good,” with percentages of 83% and 75%, respectively. Based on the t-test, the calculated t-value is 3.618 with significance 0.000 < 0.05. This indicates a significant influence between the implementation of the Gerbang Mapan Programme and community income. The magnitude of the influence of the Gerbang Mapan Programme on community income in Ketapang Village, Mauk Subdistrict, Tangerang Regency, was found to be 12%, while the remaining 88% was influenced by factors outside the variables studied. It is recommended that the Tangerang Regency Government review and improve the implementation of the Gerbang Mapan Programme, particularly regarding funding and village management. To ensure the programme provides long-term economic benefits for coastal communities, funds must be distributed more effectively and sustainably.
Customer Segmentation of GrabBike Users Based on RFM Analysis Using K-Means Clustering: A Case Study of Engineering Faculty Students Kinanthi Trah Asmaraningtyas; Rafly Priyantama Ramadhan Bagaskara; Rafi Ramadhan Asshiddiqie; Agung Satrio Wicaksono; Syarif Abdullah; Himmatul Mursyidah
Theta: Journal of Statistics Vol 2, No 1 (2026): Available Online in March 2026
Publisher : Faculty of Engineering, Univesitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjs.v2i1.39395

Abstract

The development of online transportation services has changed the mobility patterns of society, including among students who have high activity levels. GrabBike, as one of the application-based transportation services, is widely used by students to support their activities. Differences in intensity and usage patterns require a deeper understanding of user behavior through customer segmentation. Therefore, this study aims to segment GrabBike service users among students of the Faculty of Engineering, Sultan Ageng Tirtayasa University, using the RFM model with the application of the K-Means algorithm. This study uses a quantitative survey method with data collection through an online questionnaire (Google Form). The data used is primary data from 86 respondents who are students of the Faculty of Engineering who are GrabBike users. The stages of research include data collection, data preprocessing (cleaning, RFM transformation, and standardization using Standard Scaler), application of the K-Means algorithm, and analysis of segmentation results. The optimal number of clusters was determined using the Elbow and Silhouette methods. The results of the study show that the optimal number of clusters is three. Segmentation using the K-Means algorithm produces three user segments, namely Top Class Users, Ordinary Users, and Low Users. The Top Class Users segment has the highest frequency of use and expenditure, making them potential loyal users. The Ordinary Users segment is the largest segment with moderate usage levels and has the potential to be increased through targeted marketing strategies. Meanwhile, the Low Users segment has low usage levels and requires reactivation strategies. Overall, the K-Means-based RFM approach has proven effective in grouping GrabBike users based on usage behavior and can be used as a basis for formulating more targeted online transportation service marketing strategies.
Analysis of the Spatial Distribution Pattern of Poverty Percentage in Central Java in 2024 Using the Spatial Autocorrelation Approach Miftahus Sholihin; Gustriza Erda; Putri Dina Sari; Agung Satrio Wicaksono; Atia Sonda; Muhammad Fabian Reinhard Delano; Syukron Faiz
Theta: Journal of Statistics Vol 1, No 1 (2025): Available Online in March 2025
Publisher : Faculty of Engineering, Univesitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62870/tjs.v1i1.31320

Abstract

Poverty remains a critical socio-economic issue in Central Java, Indonesia, exhibiting significant regional disparities. This study aims to analyze the spatial distribution pattern of poverty rates in Central Java in 2024 using a spatial autocorrelation approach with an inverse distance weight matrix. Secondary data from the Central Bureau of Statistics (BPS) of Central Java is utilized, covering poverty percentages across regencies and cities. The analysis method involves Moran’s I to assess global spatial autocorrelation and Local Indicators of Spatial Association (LISA) to identify local spatial clusters. The findings indicate a positive Moran’s I value, suggesting a significant spatial dependence in poverty distribution. Several high-poverty clusters are identified in specific regions, confirming spatial concentration patterns. The study highlights that regional proximity influences poverty rates, where areas with high poverty tend to be surrounded by regions with similar conditions. These results provide empirical evidence for policymakers to design targeted poverty alleviation programs based on spatial characteristics. The study concludes that understanding spatial autocorrelation in poverty distribution is crucial for formulating effective regional development policies and reducing socio-economic disparities.
Upaya Peningkatan Kesadaran Perilaku Anti-Perundungan Berbasis Pemodelan Perilaku Melalui Sosio-Drama di SDN Tegalratu Kecamatan Ciwandan Ferdian Bangkit Wijaya; Syahtriandi Wirantara; Kamilya Zakiyah; Rizki Ananda; Vasulia Nur Fitri; Weksi Budiaji; Agung Satrio Wicaksono; Aulia Ikhsan
Diakoneo : Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 2 (2026): Juni
Publisher : Politeknik Negeri Kupang

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Abstract

Perundungan di lingkungan sekolah dasar sering kali dianggap sebagai kenakalan biasa, padahal dampaknya sangat merusak secara psikologis dan akademik. Kegiatan pengabdian masyarakat yang dilaksanakan oleh mahasiswa KKM Tematik Kelompok 34 Untirta ini bertujuan untuk mengedukasi siswa SDN Tegalratu mengenai bahaya perundungan serta meningkatkan empati antarsiswa guna mencegah tindakan agresif di sekolah. Metode pelaksanaan yang digunakan meliputi sosialisasi interaktif berbasis multimedia, peragaan instruksional melalui teknik sosio-drama yang diperankan langsung oleh mahasiswa, serta aksi deklarasi komitmen bersama. Teknik evaluasi yang digunakan meliputi observasi partisipatif dan penyebaran angket sederhana untuk mengukur tingkat penerimaan program serta kesadaran siswa. Hasil kegiatan menunjukkan partisipasi aktif dari 210 siswa dan mendapatkan skor kepuasan dari pihak sekolah sebesar 9.0 dari skala 10. Melalui peragaan peran, siswa mulai memahami batasan candaan yang menyakiti perasaan orang lain, khususnya terkait normalisasi ejekan verbal terhadap nama orang tua. Program ini berhasil menumbuhkan komitmen kolektif antara siswa dan guru untuk mewujudkan lingkungan sekolah yang aman, inklusif, dan ramah anak. Keberhasilan ini menunjukkan indikasi efektivitas dalam meningkatkan kesadaran siswa terkait pencegahan kekerasan di sekolah.
Co-Authors Agus Sjafari Anne Mudya Yolanda Atia Sonda Aulia Ikhsan Budiaji, Weksi Faradila Ananda Ferdian Bangkit Wijaya Gustriza Erda Himmatul Mursyidah Kamilya Zakiyah Kinanthi Trah Asmaraningtyas Miftahus Sholihin Muhammad Fabian Reinhard Delano Putri Dina Sari Rafi Ramadhan Asshiddiqie Rafly Priyantama Ramadhan Bagaskara Rahmawati Rizki Ananda Silpiyah Syahtriandi Wirantara Syarif Abdullah Syukron Faiz Vasulia Nur Fitri Winata, Hilma Mutiara