ALGORITMA K-MEANS DAN K-MEDOIDS UNTUK PENGELOMPOKAN KECAMATAN PENERIMA BANTUAN SOSIAL DI KABUPATEN BOJONEGORO

Sosial assistance is assistance that is temporary or not forever distributed to underprivileged communities with the aim of improving people's lives well. The types of sosial assistance provided by the government include the Central Non-Cash Food Assistance (BPNTP), Regional Non-Cash Food Assistance (BPNTD), Sosial Assistance for Orphans and the Family Hope Program. The data available at the Office of Sosial Affairs is data on the number of beneficiaries based on the type of sosial assistance in each sub-district. The data has not been grouped into whether it is included in the sub-districts that receive many types of sosial assistance or not. For this reason, in this study, sub-districts in Bojonegoro district were grouped based on the number of recipients of sosial assistance using the K-Means and K-Medoids Algorithms. The data used in this study was obtained from the Bojonegoro Regency Sosial Service in 2019 in the form of the number of BPNTP recipients in each sub-district, the number of BPNTD recipients in each sub-district, and the number of orphans in each sub-district. From this study, it was found that the results of grouping using the K-Means and K-Medoids algorithms obtained three clusters, hereinafter referred to as high clusters, medium clusters and low clusters. In the k-means grouping, the best results were obtained with members of each cluster, namely for the high cluster consisting of 6 sub-districts, the medium cluster consisting of 10 sub-districts, and the low cluster consisting of 12 sub-districts. Meanwhile, with k-medoids, it is obtained for the high cluster consisting of 6 sub-districts, the medium cluster consisting of 16 sub-districts and for the low cluster consisting of 6 sub-districts. From the results of the analysis, it was found that the k-means algorithm was the most suitable for classifying sub-districts receiving sosial assistance in Bojonegoro district because it had a precision value of 63 percent, where this value was higher than the precision value for k-medoid

Pemodelan Kejadian Balita Stunting di Kabupaten Bojonegoro dengan Metode Geographically Weighted Regression dan Multivariate Adaptive Regression Splines

Toddler stunting is a chronic nutritional problem caused by one of which is inadequate nutritional intake in infants. Bojonegoro is a district in East Java province where the incidence of stunting under five is still common. In this study, we will compare the incidence of stunting under five in Bojonegoro district using GWR and MARS. GWR is able to model cases for each region spatially, while MARS is able to model cases without considering the pattern of relationships between predictor variables and response variables. The best GWR model selected the smallest CV and MSE values ​​and the largest R-Square values. The best model of the Adaptive Bi-Square kernel function was obtained with a bandwidth of 28, the value of CV=2.4635, MSE=0.8620, and R-Square=0.8734. The best MARS model selected the smallest GCV value and the largest R-Square. From the combination of MO, BF and MI values, the best model was obtained at BF=24, MI=1 and MO=1 with GCV=1,29144 and R-Square=0,841 values. Comparing the two models, the MARS model is better because the R-Square value of the GWR model is greater than the MARS although the numerical value is not much different, while the MSE value of the MARS model is smaller than the MSE value of the GWR model with a much different difference. The results of this study will provide knowledge in the form of a regression model for the Bojonegoro district health office in predicting predictor variables that affect the incidence of stunting under five in Bojonegoro district

HYBRID K MEANS-MULTIVARIATE ADAPTIVE REGRESSION SPLINES FOR DISTRIBUTION OF DENGUE FEVER RISK MAPPING IN BOJONEGORO DISTRICT

Dengue Hemorrhagic Fever (DHF) is a dangerous disease transmitted by Aedes aegypti and Aedes albopictus mosquitoes’ bites. WHO data shows that almost half of the world's humans are exposed to Dengue Hemorrhagic Fever. The number of mortality caused by dengue disease is around 20,000 every year. In East Java, Bojonegoro District has the highest number of dengue hemorrhagic fever cases (416). To reduce this number, the causative factors need to be known. Additionally, it's important to pinpoint the region or cluster where the variables driving the spread are located so that prevention and treatment efforts are effective. Based on the elements contributing to the transmission of Dengue Hemorrhagic Fever, this study seeks to identify and categorize locations at risk for the spread of the illness. This study uses Hybrid K Means-Multivariate Adaptive Regression Splines (MARS) which is a combination of K-Means and MARS methods in the hope of providing better analytical results. This is because the data was divided into simpler parts by considering the Oakley distance. The results obtained from the K Means-MARS hybrid shows the relationship between response variables and predictor variables for each cluster. There are three clusters of risk for the spread of dengue hemorrhagic fever in Bojonegoro district with categories: high risk cluster, medium risk cluster and low risk cluster. The high risk cluster consists of 7 sub-districts (Baureno, Kepohbaru, Balen, Sumberrejo, Kedungadem, Bojonegoro and Dander). The variables affecting the DHF Sufferer in the high risk cluster were population density (X2), Altitude (X3) and Health Worker (X6). Meanwhile, the medium risk cluster consists of 10 sub-districts (Kalitidu, Kanor, Kapas, Ngasem, Ngraho, Padangan, Sugihwaras, Sukosewu, Tambakrejo, and Trucuk). The variables that affect the DHF Sufferer in the medium cluster are Number of Dead (X1), Population Density (X2) and Health Facility (X5). The low risk cluster consisted of 11 sub-districts (Bubulan, Gayam, Gondang, Kasiman, Kedewan, Malo, Margomulyo, Ngambon, Purwosari, Sekar, and Temayang). The variables affecting the DHF Sufferer rate in the low risk cluster were number of dead (X1) and population density (X2)

Application of Agglomerative Hierarchical Clustering Method for Grouping Non-Cash Food Assistance Recipients in Ngambon Bojonegoro

One of the sub-districts in Bojonegoro that received non-cash food assistance was Ngambon sub-district. The non-cash food assistance provided in Ngambon sub-district has not been on target. This is because underprivileged people do not get assistance, while people who can afford it actually get non-cash food assistance. So, research is needed with the aim that non-cash food assistance provided by the government can be distributed according to procedures. The method used in this study is agglomerative hieralchical clustering to group recipients of non-cash food assistance from the people of Ngambon Bojonegoro. The variables used were 12 indicators of non-cash food assistance set by the Bojonegoro district Social Office. The data used were 131 recipients of non-cash food assistance spread across five villages in Ngambion sub-district. Grouping results with the single linkage method are less relevant. Meanwhile, with the average linkage and complate linkage methods, five clusters were obtained, and with ward linkage, three clusters were obtained. Based on the elbow rule, it was found that ward linkage is the best grouping method, with cluster 1 totaling 57 people, cluster 2 totaling 53 people and cluster 3 totaling 21 people

ALGORITMA GENERALIZED REDUCED GRADIENT BERBASIS MARKOV-SWITCHING MODEL UNTUK OPTIMISASI PORTOFOLIO SAHAM PERBANKAN DI INDONESIA

Optimisasi  portofolio pada dasarnya menggunakan model Markowitz dalam menghasilkan portofolio yang efisien, namun portofolio yang terbentuk tidak baik ketika return saham memiliki perubahan regime, seperti pada periode ‘bear’ and ‘bull’ market. Tujuan dari penelitian ini adalah mengembangkan optimisasi portofolio dengan mempertimbangkan kasus perubahan regime, serta menerapkannya pada data runtun waktu yang memiliki perubahan regime dalam rangka pembentukan portofolio yang lebih efisien. Metode yang digunakan adalah algoritma generalized reduced gradient (GRG) berbasis Markov-switching model (MSwM). Pada penulisan ini akan dihasilkan algoritma pemrograman dalam software R untuk membuat paket program GRG berbasis MSwM yang akan digunakan untuk optimisasi portofolio pada kasus perubahan regime. Kinerja portofolio yang terbentuk dievaluasi dengan pengukuran risiko yaitu standar deviasi. Jenis data yang digunakan adalah data sekunder yang berisi saham-saham perbankan dari enam saham terpilih yang aktif di IDX Bursa Efek Indonesia pada tahun 2013-2018, yaitu: saham BRI, BNI, BTN, Bank Mandiri, BCA, dan Bank Danamon. Hasil diperoleh algoritma pemrograman untuk program GRG berbasis MSwM untuk optimisasi portofolio pada kasus perubahan regime, serta diperoleh portofolio saham perbankan yang optimal untuk tiga kriteria investor. Pada penelitian ini, portofolio terbaik jatuh pada kriteria investor yaitu meminimalkan risiko pada ekspektasi return tertentu. Penelitian ini memberikan kesimpulan bahwa algoritma GRG berbasis MSwM menghasilkan bobot portofolio berdasarkan fenomena “bull” and “bear” market, sehingga bobot portofolio yang terbentuk lebih realistis didalam pasar modal

“ISTANA CERIA” sebagai Sarana Pemberdayaan Masyarakat Desa Banjarjo-Bojonegoro pada Masa Pandemi Covid 19

Pemberdayaan masyarakat ini dilakukan sebagai salah satu program pengabdian masyarakat dari kegiatan Kuliah Kerja Nyata (KKN) sebagai wujud melaksanakan Tri Dharma Perguruan Tinggi yang nyata dari tugas dosen dan mahasiswa, maka terwujud sinergi Perguruan Tinggi Universitas Nahdlatul Ulama Sunan Giri Bojonegoro dengan masyarakat Desa Banjarjo yang mengambil tematik 2022 pencegahan Covid-19 dan pemulihan ekonomi masyarakat di masa pandemi yang dilaksanakan selama 30 hari mulai tanggal 18 januari hingga 18 febuari 2022. Salah satu program unggulan “ISTANA CERIA” mencoba untuk menyelesaikan permasalahan di masyarakat dalam bidang pendidikan. Tujuan membuat eduction center dengan manfaatkan lahan kosong yang tidak terawat untuk mengenalkan pembelajaran smart learning, fun leraning, meningkatkan minat belajar serta membaca anak melalui metode ABCD. Metode penelitian menggunakan deskripsi kualitatif melalui observasi dan wawancara. Hasilnya adalah membantu warga masyarakat Desa Banjarjo RT 07 RW 001 untuk mengetahui aset lingkungan potensial yang dimiliki guna mengembangkan eksistensinya dibidang pendidikan dengan memfasilitasi melalui program unggulan