Abstract:This study aims to analyze the influence of accountability and transparency in local government financial reports on the achievement of Sustainable Development Goals (SDGs) 11, specifically the indicator of access to decent…
ent and affordable housing in Indonesia. The study used panel data from 31 provinces during the 2021–2024 period with a total of 124 observations. The research data were obtained from the Central Statistics Agency (BPS), the Supreme Audit Agency (BPK), and official local government websites related to the publication of financial reports. Data analysis was conducted using the Generalized Least Squares (GLS) method with a Random Effect Model (REM) approach. The results of the study indicate that accountability has a positive and significant effect on the achievement of SDG 11. These findings indicate that accountable regional financial management can increase the effectiveness of housing and settlement development programs. Transparency also has a positive and significant effect on the achievement of SDG 11, with a stronger effect than accountability. Openness of financial information encourages public oversight of regional budget use and increases the efficiency of development program implementation. The results of simultaneous testing indicate that accountability and transparency together have a significant effect on the achievement of the indicator of access to decent and affordable housing. The research findings support the theory of good governance, which places accountability and transparency as essential elements in improving the quality of local government governance. This study provides an empirical contribution regarding the relationship between local government financial governance and the achievement of sustainable settlement development in Indonesia.
Abstract:This study aims to analyze the role of corruption in moderating the influence of Village Funds, Local Own-Source Revenue (PAD), and technology represented by the Electronic-Based Government System (SPBE) index on the number…
ber of independent villages in Indonesia from 2023 to 2024. The research was conducted in 34 provinces in Indonesia, except for the provinces of DKI Jakarta, Central Papua, South Papua, and Papua Pegunungan. The study used a panel data regression model with a Fixed Effect Model approach. The results of the study show that: First, Village Funds have a positive and significant effect on increasing the number of independent villages; Second, PAD does not have a significant effect on the number of independent villages, indicating that fiscal independence of villages in Indonesia is still relatively low. Most villages still depend on transfers from the central government; Third, technology, represented by the SPBE index, has a positive and significant effect on the number of independent villages; Fourth, the moderating effect of corruption shows diverse dynamics. Corruption negatively moderates the relationship between Village Funds and independent villages, but conversely positively moderates the relationship between PAD and independent villages. Fifth, the interaction between SPBE and corruption is not proven to be significant, suggesting that the success of digitization in promoting village independence is determined more by the readiness of the technological ecosystem than solely by low levels of corruption.
Abstract:Forest and land fires constitute a strategic environmental issue affecting ecological stability, public health, and sustainable regional development. As a newly established autonomous region, South Papua Province faces institutional…
nstitutional and structural challenges in developing an effective and integrated fire control system. This study aims to analyze the implementation of forest and land fire control policies and identify factors influencing their effectiveness. A qualitative descriptive approach was employed through in-depth interviews, field observations, and document analysis. The study applies Edward III’s policy implementation framework focusing on communication, resources, disposition, and bureaucratic structure. The findings indicate that although the regulatory framework is adequate, implementation remains constrained by limited resources, suboptimal inter-agency coordination, and low public awareness. Compared to provinces such as Riau and Central Kalimantan, South Papua is still in the institutional strengthening phase. This study proposes a collaborative and community-based preventive approach rooted in local wisdom as a long-term strategy for sustainable fire management.
Abstract:East Java Province is a region with significant economic contribution in Indonesia, occupying the third position nationally with a contribution of 14.26%. However, despite its rapid economic growth, East Java still faces…
welfare challenges, especially in terms of poverty which is still relatively high compared to other provinces on the island of Java. The poverty rate in East Java is on a downward trend, but it still remains above the national average. This condition indicates an imbalance in the welfare of the community in the East Java region. Welfare is measured based on the ability of the community to meet decent, healthy, and productive basic needs, with the Human Development Index (HDI) as one of the main indicators. HDI can measure human development achievements based on several basic components of quality of life, including the education dimension, the age and health dimension, and the standard of decent living. Therefore, the government needs to group regions with appropriate characteristics to make it easier to make policies. One of the statistical analyses that can be used in this study is cluster analysis. The results of this study are that East Java Province in 2023 shows a diversity of welfare indicators, such as TPT, HDI, and AHH, reflecting differences in economic, educational, and health conditions between regions. The cluster method with the best assessment in this study is the K-Means method with five clusters. The characteristics in clusters I and II tend to have low welfare, while clusters III, IV, and V show better welfare. The results of this study show a change in the number of clusters compared to previous research conducted by Muhammad Fikry Al Farizi et al. in 2022. The previous study produced four clusters using the average linkage method.
Abstract:bstract: Disease is an abnormal condition in which the body or mind experiences discomfort or dysfunction in the person it affects. Every day the number of people suffering from infectious diseases always increases with…
different types of diseases. Therefore, there is a need for a grouping to help the government find information about the diseases most commonly suffered by citizens. In this research, patient disease data was grouped using multidimensional clustering data mining techniques. K-Means Clustering is a non-hierarchical data clustering method that groups data in the form of one or more clusters. Data that has the same characteristics is grouped in one cluster and data that has different characteristics is grouped in another cluster so that the data in one cluster has a small level of variation. This research aims to make the government pay more attention to areas that have high rates of infectious diseases both from the environment and other things. The results of research from 34 provinces and 8 infectious diseases show data where 32 areas are very vulnerable, 2 areas are vulnerable and 2 areas are quite vulnerable.
Keywords: Data Mining, Disease Cases, K-Means
Abstrak: Penyakit adalah suatu keadaan abnormal dimana tubuh ataupun pikiran mengalami ketidaknyamanan atau disfungsi terhadap orang yang dipengaruhinya. Setiap harinya jumlah warga yang menderita penyakit menular selalu bertambah dengan jenis penyakit yang berbeda. Oleh sebab itu, perlu adanya pengelompokan untuk membantu pihak pemerintah menemukan informasi mengenai penyakit yang paling banyak diderita oleh warga. Pada penelitian ini dilakukan pengelompokkan data penyakit pasien menggunakan teknik data mining clustering multidimensi. K-Means Clustering merupakan salah satu metode data clustering non-hirarki yang mengelompokkan data dalam bentuk satu atau lebih cluster. Data-data yang memiliki karakteristik yang sama dikelompokkan dalam satu cluster dan data yang memiliki karakteristik berbeda dikelompokkan dengan cluster yang lain sehingga data yang berada dalam satu cluster memiliki tingkat variasi yang kecil. Penelitian ini bertujuan agar pemerintah lebih perhatian terhadap daerah yang memilki angka tinggi terhadap penyakit menular baik dari lingkungan maupun dari hal lainnya. Hasil dari penelitian dari 34 Provinsi dan 8 Penyakit menular menunjukkan data dimana 32 daerah dengan sangat rawan, 2 daerah rawan dan 2 daerah cukup rawan.
Kata kunci: Data Mining, Kasus Penyakit, K-Means
Abstract:Abstract : The Central Bureau of Statistics (BPS) is a non-departmental government agency established as a provider of data or information based on Law No. 6/1960 on Census and Law No. 7/1997 on Statistics. The Central Statistics…
tatistics Agency (BPS) recorded the number of motorized vehicles such as cars, buses, trucks, and motorcycles in the provinces of North Sumatra and West Sumatra in 2020-2021 reaching 3,043,892 million units. The purpose of this study is to classify the number of motorized vehicles in the form of cars, motorcycles, buses and trucks. This research uses quantitative research with Naive Bayes Algorithm analysis model. The data used in this study is data from several regions in North Sumatra Province and West Sumatra Province in 2020-2021. Evaluation of model performance is based on accuracy parameters, precision and total recall of the confusion-matrix. The results of testing the dataset and calculating the model performance parameters have obtained an accuracy value of 100%. With the percentage value of the description of each dataset class, namely a little 70.6%, moderate 21.6%, and a lot 7.8%.
Keywords :classification;confusion-matrix; data; motor vehicles; naive bayes
Abstrak : Badan Pusat Statistik (BPS) adalah lembaga pemerintahan non-departemen yang dibentuk sebagai penyedia data atau informasi berdasarkan UU Nomor 6 Tahun 1960 tentang Sensus dan UU Nomor 7 Tahun 1997 tentang Statistik. Badan Pusat Statistik (BPS) mencatat jumlah kendaraan bermotor seperti mobil, bus, truk, dan sepeda motor di Provinsi Sumatera Utara dan Sumatera Barat pada tahun 2020-2021 mencapai 3.043.892 juta unit. Tujuan dari penelitian ini yaitu untuk mengklasifikasikan jumlah kendaraan bermotor berupa mobil, sepeda motor, bus dan, truk. Adapun penelitian ini menggunakan jenis penelitian kuantitatif dengan model analisis Algoritma Naive Bayes. Data yang digunakan pada penelitian ini adalah data dari beberapa daerah di Provinsi Sumatera Utara dan Provinsi Sumatera Barat tahun 2020-2021. Evaluasi kinerja model didasarkan pada parameter akurasi, presisi dan recall total dari Confusion-Matrix. Hasil pengujian dataset dan perhitungan parameter performa model telah didapat nilai akurasi 100%. Dengan presentase nilai keterangan setiap kelas dataset yaitu Sedikit 70,6%, Sedang 21,6%, dan Banyak 7,8%.
Kata kunci :confusion-matrix; data; kendaraan bermotorklasifikasi; naive bayes
Abstract:Abstract: This research tries to describe student cluster analysis, as an effort to optimize campus promotion to various schools and regions. It is known that every year, Politeknik Pertanian Negeri Payakumbuh, abbreviated…
ed as PPNP, brings in students from various regions in Indonesia. Regarding the campus promotion strategy process, the PPNP promotion section has not been based or referred to the results of processing existing student data. So that the budget used by the campus promotion team has not been right on target with the results of students who can be brought to campus. In addition, the existing student database has not been processed or explored further, so that it has not produced knowledge that is very useful as material to support the decisions of the academic and student affairs department and the campus promotion team. The method used in this research is CRISP-DM which stands for Cross- Industry Standard Process for Data Mining. Based on the characteristics of each cluster, the PPNP Promotion Team in conducting the next socialization is advised to prioritize provinces such as West Sumatra and North Sumatra. Currently, managerial circles in this context, university leaders are expected to be able to make data-based decisions. Data-based decision making can foster a culture of sustainable innovation, produce customer-centric offerings and drive long-term business growth.
Keywords: cluster analysis; student data; k-means clustering; campus promotion
Abstrak: Penelitian ini mencoba untuk mendeskripsikan analisis cluster mahasiswa, sebagai upaya optimalisasi dalam melakukan promosi kampus ke berbagai sekolah dan daerah. Diketahui bahwa setiap tahunnya, Politeknik Pertanian Negeri Payakumbuh disingkat PPNP mendatangkan mahasiswa dari berbagai daerah di Indonesia. Terkait dengan proses strategi promosi kampus, bagian promosi PPNP belum didasarkan pada hasil pengolahan data mahasiswa yang ada. Sehingga anggaran yang digunakan tim promosi belum tepat sasaran dengan hasil mahasiswa yang dapat didatangkan ke kampus. Selain itu database mahasiswa yang ada selama ini belum diolah atau digali secara jauh, sehingga belum menghasilkan pengetahuan yang bermanfaat sebagai bahan untuk mendukung keputusan bagian akademik dan kemahasiswaan serta tim promosi kampus. Metode yang digunakan dalam penelitian ini yaitu CRISP-DM merupakan singkatan dari Cross-Industry Standart Process for Data Mining. Berdasarkan karakteristik setiap cluster, maka untuk Tim Promosi PPNP dalam melakukan sosialisasi berikutnya disarankan memprioritaskan pada provinsi seperti Sumatera Barat dan Sumatera Utara. Saat ini kalangan manajerial yaitu pimpinan perguruan tinggi diharapkan dapat melakukan pengambilan keputusan berbasis pada data. Pengambilan keputusan berbasis data dapat menumbuhkan budaya inovasi yang berkelanjutan, menghasilkan penawaran yang berpusat pada pelanggan dan mendorong pertumbuhan bisnis jangka panjang.
Kata kunci: analisis cluster; data mahasiswa; k-means clustering, promosi kampus
Abstract:Abstract: Covid-19 cases started showing up in Indonesia in early March 2020, and they have since spread to several other areas. The number of corona virus infections from different Indonesian provinces plays a significant…
nt role in the decision-making process based on this data visualization. By creating a Business Intelligence system to display the results of the number of confirmed cases, deaths, and recoveries from various provinces in Indonesia, the goal of this project is to visualize data on corona virus cases. The Corona Virus Dataset in Indonesia from www.kaggle.com is processed using Grafana in this article. The findings of this article are presented as dashboard reports that include data on confirmed cases, fatalities, and recoveries in different Indonesian provinces. These reports can be utilized to help make decisions. With Grafana's interactive dashboard features, the data display resulting from routine analysis results can be engaging.
Keywords: Business Intelligence, OLAP, Covid 19
Abstrak: Kasus Covid-19 mulai muncul di Indonesia pada awal Maret 2020, dan sejak itu menyebar ke beberapa daerah lain. Keputusan berdasarkan visualisasi data sering kali mencakup statistik jumlah kasus virus corona dari berbagai provinsi di Indonesia. Dengan membuat sistem Business Intelligence untuk menampilkan temuan jumlah kasus terkonfirmasi, kematian, dan pemulihan dari berbagai provinsi di Indonesia, tujuan penelitian ini adalah untuk memvisualisasikan data kasus virus corona. Postingan ini menggunakan Grafana untuk menangani dataset virus corona Indonesia dari www.kaggle.com. Temuan artikel ini disajikan sebagai laporan dalam bentuk dasbor yang mencakup data jumlah kasus terkonfirmasi, kematian, dan pemulihan di berbagai provinsi di Indonesia. Dengan pengaturan dashboard interaktif Grafana, mungkin akan menarik untuk melihat data yang dihasilkan dari hasil analisis standar yang ditampilkan.
Kata kunci: Business Intelligence, OLAP, Covid 19
Abstract:Abstract: The development of Information Technology in the field of education, a survey on the Use and Utilization of Information and Communication Technology was carried out on 4,014 schools in 34 provinces. Based on the…
e level of education, elementary and equivalent as much as 64.55 percent, junior high school and equivalent as much as 19.22 percent and high school and equivalent as much as 16.23 percent. While the use of applications in the field of education is still felt to be lacking especially in rural schools so that there is a gap between urban schools and rural schools. This condition occurs in SMP PGRI Malangbong where the use of applications is still lacking. One example is in the recording of books in schools that are still manual which complicates operations in the school. The solution offered is to create an online book recapitulation system which is expected to be very useful for school operations. The online book recapitulation system was built using the waterfall method starting from the analysis, design, implementation, testing to maintenance stages.
Keywords: Book Information system; Books; Schools
Abstrak: Perkembangan Teknologi Informasi di bidang pendidikan, survei Penggunaan dan Pemanfaatan Teknologi Informasi dan Komunikasi dilakukan terhadap 4.014 sekolah yang tersebar di 34 provinsi. Berdasarkan jenjang pendidikan, SD dan sederajat sebanyak 64,55 persen, SMP dan sederajat sebanyak 19,22 persen dan SMA dan sederajat sebanyak 16,23 persen. Sedangkan penggunaan aplikasi dibidang pendidikan masih dirasa kurang terutama di sekolah-sekolah pedesaan sehingga terjadinya kesenjangan antara sekolah diperkotaan dan sekolah pedesaan. Kondisi tersebut terjadi pada SMP PGRI Malangbong dimana penggunaan aplikasi masih sangat kurang. Salah satu contohnya adalah dalam perekapan buku di sekolah yang masih bersifat manual yang menyulitkan operasional di sekolah tersebut. Solusi yang ditawarkan adalah dengan membuat sistem rekap buku online yang diharapkan sangat berguna bagi operasional sekolah. Sistem rekap buku online ini dibangun menggunakan metode waterfall mulai dari tahap analisis, desain, implementasi, pengujian sampai dengan pemeliharaan.
Kata Kunci : Buku Sekolah; Sistem Informasi Rekap Buku
Abstract:This study examines the complex consequences of industrial area development on both the national and regional economies of Indonesia, with a specific focus on the interaction between these two domains. This research employs…
oys a comprehensive case study methodology to examine the policies crucial for ensuring sustainable economic growth in the aftermath of the pandemic. Industrial expansion's direct and indirect effects on job creation, economic diversification, technological advancement, and resource distribution are all examined in this analysis. Considering the varying degrees of development and infrastructure across Indonesia's regions, the study also identifies the distinct impacts of economic disparities across these areas. The results emphasize the need for tailored policy interventions that consider regional discrepancies and foster fair economic growth post-pandemic. Contributing to the economic recovery of the nation, the study finds sectors of the Indonesian economy with potential for expansion in the post-pandemic period. Employing the shift-share analysis and qualitative descriptive method, help determine if any changes have occurred in the configuration of the economic system during the post-pandemic period. The findings indicate that each of the five provinces, namely Bali, Riau Islands, Banten, East Borneo, and Yogyakarta, possesses distinct competitive advantages that are unique to their respective regions. However, none of the industries in these five areas possesses a significant degree of expertise in any particular industry. The research also emphasizes the lack of dedicated business activities focused on a specific industry.