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Kartini, Alif Yuanita

Universitas Nadhatul Ulama Sunan Giri

Author-ID : 1207968

Religion Agriculture, Biological Sciences & Forestry Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Mathematics Mechanical Engineering Physics Public Health Social Sciences Transportation Other

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RANDOM FOREST DAN MULTIVARIATE ADAPTIVE REGRESSION SPLINES (MARS) UNTUK KLASIFIKASI KEMANDIRIAN PADA ANAK USIA DINI DI KECAMATAN BOJONEGORO Kartini, Alif Yuanita
Discovery Vol 4 No 01 (2019): Discovery Vol. 04 No. 01 Tahun 2019
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) Universitas Hasyim Asy'ari (Unhasy)

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ABSTRAK Kemandirian adalah suatu keadaan seseorang dimana seseorang berusaha berdiri sendiridalam arti tidak menggantungkan diri pada orang lain dalam suatu keputusan dan mampu melaksanakan tugas hidup dengan penuh tanggung jawab. Banyak sekali faktor- faktor yangberpengaruh terhadap kemandirian diantaranya pola asuh orang tua, usia anak, urutan anak, rasapercaya diri anak, gen, status ibu pekerja, dan lain sebagainya. Dalam penelitian ini inginmengetahui faktor-faktor yang berpengaruh terhadap kemandirian anak usia dini dengan metodeMARS serta meningkatkan akurasi klasifikasi dengan menggunakan metode resampling yaknirandom forest serta kombinasi antara MARS dan random forest. Tahap pembentukan modelMARS dimulai dengan melakukan trial and error terhadap maksimum basis fungsi (BF),maksimum interaksi (MI), dan minimal jumlah pengamatan diantara knot (MO) hinggadiperoleh nilai optimal dengan nilai GCV minimum. Langkah selanjutnya yaitu mengambil nsampel dengan teknik resampling dengan pengembalian sehingga diperoleh dataset baru. Darihasil analisis didapatkan model MARS terbaik pada saat kombinasi BF=22, MI=3 dan MO=1dengan nilai GCV sebesar 0,142. Dari 11 variabel yang dianalisis, 5 variabel masuk ke dalammodel MARS terbaik yaitu pola asuh orang tua, urutan anak dalam keluarga, kebiasaan anak,sifat sosial anak, dan status ibu. Akurasi klasifikasi kemandirian anak di kecamatan Bojonegorodengan metode MARS sebesar 77,39 % dengan metode random forest sebesar 95,95 % dandengan metode random forest MARS sebesar 89,86 %. Sehingga akurasi klasifikasi terbaikdidapatkan dengan menggunakan metode Random Forest.Kata kunci : MARS, random forest, kemandirian anak

ANALISIS GEOGRAPHICALLY WEIGHTED REGRESSION DENGAN PEMBOBOT KERNEL BI-SQUARE UNTUK ANGKA PENGANGGURAN DI KABUPATEN BOJONEGORO Alif Yuanita Kartini
Journal of Mathematics Education and Science Vol. 2 No. 1 (2019): Journal of Mathematics Education and Science
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

The unemployment rate in Bojonegoro Regency has increased every year. Based on data from the Bojonegoro Regency Industry and Manpower Office (Disperinaker), at the end of June 2018 the number of unemployed people increased from the original 23,000 people to 24,000 people. It is far away from the government target to decrease this rate in the same year. The Great amount of the unemployment number is closely related to unequitable of developing program. As a result, the left areas with a great number of unemployment appears. There are several population indicators that are considered to have a great effect on the unemployment rate. Due to of those indicators, it is urgently needed to analyze the correlation between they did the analysis of correlation those factors toward poverty rate in Bojonegoro regency. Unfortunately, unemployment is spatial matter which there is correlation between unemployment rate and used predictor variable is not constant for all districts in Bojonegoro regency. That situation commonly becomes a problem in analyzing especially when applied global regression. Dealing with the problem, the researcher intended to analyze by applying Geographically Weighted Regression (GRW) method by applying Kernel Bi-square. The result shows that global regression model is able to explain variation of data is about 69,8%, but the use of regression model is not able to fulfil residual assumption. It appears heterokedasticity which shows that various residual model regression is not constant. Those problems can be solved by applying GWR which it is chosen by the center of Bojonegoro district. GWR model approved that it has better result than the previous one because it is able to explain variation and it is better in explaining the variation, it is about 72,11%. Angka pengangguran di Kabupaten Bojonegoro dari tahun ke tahun semakin meningkat. Berdasarkan data dari Dinas Perindustrian dan Tenaga Kerja (Disperinaker) Kabupaten Bojonegoro, pada akhir Juni 2018 jumlah pengangguran semakin meningkat dari semula 23.000 orang menjadi 24.000 orang. Kondisi tersebut masih jauh dari target pemerintah untuk menurunkan angka pengangguran pada tahun 2018. Tingginya angka pengangguran tersebut tidak terlepas dari adanya ketidakmerataan pembangunan, sehingga memunculkan daerah tertinggal dengan angka pengangguran yang tinggi. Ada beberapa indikator kependudukan yang dianggap berpengaruh besar terhadap tingkat pengangguran, oleh karena itu ingin dilakukan analisa hubungan antara indikator kependudukan terhadap angka kemiskinan di Kabupaten Bojonegoro. Namun pengangguran merupakan suatu permasalahan spasial, dimana hubungan antara angka pengangguran dengan variabel prediktor yang digunakan tidak konstan (non-stationer) untuk seluruh Kecamatan di Kabupaten Bojonegoro. Kondisi tersebut seringkali menjadi masalah pada analisa ketika menggunakan regresi global. Oleh karena itu ingin dibandingkan jika dilakukan analisa menggunakan metode Geographically Weighted Regression(GWR) dengan Pembobot Kernel Bi-Square. Hasil model regresi global yang diperoleh mampu menerangkan keragaman data sebesar 69,8%, namun penggunaan regresi global tersebut tidak mampu memenuhi asumsi residual yaitu terjadi heterokedasticity yang menunjukkan bahwa varians dari residual model regresi global masih belum konstan. Permasalahan tersebut dapat diselesaikan dengan menggunakan GWR, dimana model GWR yang dipilih adalah model dengan pusat Kecamatan Bojonegoro. Model GWR yang diperoleh terbukti lebih baik karena mampu menerangkan keragaman dengan lebih baik yaitu sebesar 72,11%.

CONFIRMATORY FACTOR ANALYSIS UNTUK MENGUKUR PERTUMBUHAN PENDUDUK DI KABUPATEN BOJONEGORO Moch Nur Faizin; Alif Yuanita Kartini
Journal of Mathematics Education and Science Vol. 4 No. 1 (2021): Journal of Mathematics Education and Science
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Population growth is closely related to the addition and or reduction of the population in a specific area. Many factors influence population growth in an area, including births, deaths, and population movements. The development of the population of Bojonegoro Regency until 2020 has increased every year. The population development in Bojonegoro Regency has increased by 0.96 percent, which is thought to be caused by births, migration, and economic growth. In this study, to measure population growth in Bojonegoro Regency, this study conducted confirmation or testing to determine how well the measured variables represented the factors formed using the confirmatory factor analysis (CFA) method. The results showed that the characteristics of population growth in the Bojonegoro Regency were influenced by three latent variables, including fertility, mortality, and migration. In contrast, the most dominant variables in influencing population growth were total births, live birth rates, female child ratio, and life expectancy: infant mortality rates, under-five mortality rates, out-migration, and gross migration. Abstrak Pertumbuhan penduduk erat kaitanya dengan penambahan dan atau pengurangan jumlah penduduk di suatu wilayah tertentu. Banyak factor yang mempengaruhi pertumbuhan penduduk di suatu wilayah diantaranya kelahiran, kematian dan perpindahan penduduk. Perkembangan jumlah penduduk Kabupaten Bojonegoro hingga tahun 2020 mengalami kenaikan setiap tahun. Perkembangan penduduk di Kabupaten Bojonegoro mengalami pertambahan sebesar 0,96 persen yang diduga disebabkan oleh kelahiran, migrasi dan pertumbuhan ekonomi. Untuk mengukur pertumbuhan penduduk di Kabupaten Bojonegoro, pada penelitian ini dilakukan konfirmasi atau pengujian untuk mengetahui seberapa baik variabel yang telah diukur dapat mewakili faktor yang terbentuk menggunakan metode confirmatory factor analysis (CFA). Hasil penelitian menunjukkan bahwa pada karakteristik pertumbuhan penduduk di Kabupaten Bojonegoro dipengaruhi oleh tiga variabel laten diantaranya yaitu fertilitas, mortalitas, dan migrasi, sementara variabel yang paling dominan dalam mempengaruhi pertumbuhan penduduk adalah jumlah kelahiran total, angka lahir hidup, rasio anak wanita, angka harapan hidup, angka kematian bayi, angka angka kematian balita, migrasi keluar, dan migrasi bruto.

Improving Students’ Reading Comprehension Through Mind Mapping Khoirul Wafa; Alif Yuanita Kartini; Ms. Ahmad Tauchid; Ifa Afiana
EDUTEC : Journal of Education And Technology Vol 1 No 2 (2018): March 2018
Publisher : STAI Miftahul Ula Nganjuk

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This research aimed to determine the use of the mind map technique in teaching reading comprehension in the 8th grade of Assalam Bangilan. This research is related to the result of a preliminary study showed that the students were still confused to comprehend the passage in reading skill; In conducting this study, the writer used Classroom Action Research (CAR) as the method of the research. She used research design of Kemmis and Mc Taggart which consisted of two cycles and each cycle consisted of four phases, they are Planning, Acting, Observing and Reflecting. To collect and analyze the data, the researcher gained the information from the questionnaire, documentation and the students’ achievement in pre-test and post-test in order to support the data collected. The result of this research indicated that there was an improvement of students’ scores in reading comprehension through mind mapping technique. It was proved by the data, which showed that the mean of the students in cycle II (93) was higher than in cycle I (70,3) and also in Orientation test (56,3). The writer also analyzed the qualitative data to support these research findings. The qualitative data were taken from a questionnaire sheet and documentation to know how mind mapping technique could improve the students’ ability in reading comprehension. Based on the finding of the research, the writer concluded that mind mapping had improve students’ reading comprehension.

UPAYA PENINGKATAN HASIL BELAJAR PASSING DAN CONTROL DALAM SEPAK BOLA MENGGUNAKAN PERMAINAN KUCING - KUCINGAN Benny Widya Priadana; Edi Setyanto; Alif Yuanita Kartini
Jurnal Ilmiah Hospitality Vol 7 No 2: Desember 2018
Publisher : Sekolah Tinggi Pariwisata Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47492/jih.v7i2.199

In physical education learning there are several obstacles that occur in the process of passing and control learning in soccer for fifth grade students of SDN Mori 01, Trucuk District, Bojonegoro Regency 2019. One way that can be done to improve student learning outcomes is through classroom action research, making a learning model that appeals to students with the learning approach to play. The problem in this study is whether the implementation of passing and control learning using cat - and - mouse games can improve the quality and learning outcomes of fifth grade students of SDN Mori 1, Trucuk District, Bojonegoro Regency in 2019? The purpose of this study was to determine the application of passing and control learning through the cat-cat game media can improve the quality and learning outcomes for students of class V SDN Mori 01 Trucuk District, Bojonegoro Regency 2019. in physical education subjects. This research was conducted at SDN Mori 1, Trucuk District, Bojonegoro Regency. The sample in this study was class V students, amounting to 31 students. This research is a class action research consisting of two cycles where each cycle consists of 4 stages, namely planning, action, observation (observation) and reflection. Data collection techniques in this study are: observation methods, documentation methods, and test methods. The results showed that the application of play methods could improve the results of learning passing and control in fifth grade students of SDN Mori 1, Trucuk District, Bojonegoro Regency 2019. From the analysis results obtained there was an increase in student learning outcomes from the first cycle to the second cycle. The average value of passing and control learning outcomes in the first cycle (71.59), the second cycle (83.84). So that the increase in learning outcomes from the first cycle to the second cycle is (12.25). While the number of students who were declared complete in the first cycle were 11 students (35.5%) and the second cycle were 26 students (83.9%). The conclusion of this study, that passing and control learning through playing cat and mouse media for fifth grade students of SDN Mori 01, Trucuk District, Bojonegoro Regency in 2019 can improve student learning outcomes. It is recommended that every physical education teacher is always creative and innovative in making learning models, with the aim of student learning outcomes can be improved.

PEMANFAATAN TANAMAN KANGKUNG DAN SAMPAH LINGKUNGAN SEBAGAI UPAYA PENINGKATAN EKONOMI MASYARAKAT DESA NGUMPAKDALEM DI MASA PANDEMI COVID 19 Alif Yuanita Kartini
Mafaza : Jurnal Pengabdian Masyarakat Vol. 2 No. 1 (2022): Mafaza : Jurnal Pengabdian Masyarakat
Publisher : Mafaza : Jurnal Pengabdian Masyarakat

Water spinach is commonly found around the community of Ngumpakdalem Village. Most people do not know the benefits and uses of kale. In addition, in Ngumpakdalem Village, a lot of plastic waste such as used drinking water bottles and even steroform were found. Of course this will interfere with environmental health if the people of Ngumpakdalem Village have not been able to manage waste properly. Therefore, in community service activities in Ngumpakdalem Village in collaboration with partners, in this case IDFoS Indonesia, Dalem Mandiri Sejahtera Group, Mandiri Sehat Group 1 and Mandiri healthy Group 2, held training on environmental waste management both organic and inorganic as organic fertilizer and media. environmentally friendly planting for kale plants. In this community service activity, the Asset Based Community Development (ABCD) method is used, which is a community development concept based on local assets to overcome problems in the area. The results of this community service activity are in the form of "snack ndalem" food products in the form of finger cakes, chips and crackers with various flavors including original, balado, spicy, and barbeque and traditional herbal medicine "viks drink" with the basic ingredients of kale. organic. These food and beverage products are very helpful for the community in terms of empowering the family economy and fostering UKM and UMKM so that they can improve the economy of the Ngumpakdalem village community during the Covid 19 Pandemic.

Pemodelan Kejadian Balita Stunting di Kabupaten Bojonegoro dengan Metode Geographically Weighted Regression dan Multivariate Adaptive Regression Splines Alif Yuanita Kartini Kartini; Laelatul Nur Ummah
J STATISTIKA: Jurnal Imiah Teori dan Aplikasi Statistika Vol 15 No 1 (2022): Jurnal Ilmiah Teori dan Aplikasi Statistika
Publisher : Faculty of Science and Technology, Univ. PGRI Adi Buana Surabaya

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.

“ISTANA CERIA” sebagai Sarana Pemberdayaan Masyarakat Desa Banjarjo-Bojonegoro pada Masa Pandemi Covid 19 Yunita Dwi Setyoningsih; Alif Yuanita Kartini
E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 13, No 3 (2022): E-DIMAS
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/e-dimas.v13i3.11736

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.

DLNN dan BPNN-GA Pada Prediksi Penyakit Diabetes di Bojonegoro Nita Cahyani; Alif Yuanita Kartini
Journal of Mathematics Education and Science Vol. 6 No. 1 (2023): Journal of Mathematics Education and Science
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/james.v6i1.416

Diabetes terjadi ketika kadar gula darah lebih tinggi dari biasanya. Di sisi lain, produksi insulin dianggap tidak mencukupi. telah dicatat dalam beberapa hari terakhir bahwa pangsa pasien yang menderita diabetes telah meningkat ke tingkat yang lebih besar di seluruh dunia. Masalah ini harus ditanggapi lebih serius untuk memastikan bahwa persentase tipikal orang yang menderita diabetes berkurang. Penelitian ini bertujuan untuk mendeteksi lebih dini penyakit diabetes khususnya di Bojonegoro dengan cara memprediksi penyakit tersebut, sehingga dapat mengurangi penderita penyakit diabetes. Digunakan 2 metode dalam penelitian ini, yaitu Deep Learning Neural Network (DLNN) dan menggunakan metode optimasi bobot pada pelatihan Backpropagation Neural Network (BPNN) dengan Algoritma Genetika (GA) (BPNNGA) untuk memprediksi diabetes di Bojonegoro. Hasil penelitian ini menyajikan bahwa dengan menggunakan metode DLNN dan BPNNGA menghasilkan tingkat akurasi sebesar 94%.

Multivariate Adaptive Generalized Poisson Regression Splines untuk Pengembangan Model Prediksi Produksi Padi di Kabupaten Bojonegoro Alif Yuanita Kartini; Muhammad Ishlahuddin
Journal of Mathematics Education and Science Vol. 5 No. 2 (2022): Journal of Mathematics Education and Science
Publisher : Universitas Nahdlatul Ulama Sunan Giri Bojonegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/james.v5i2.562

Produksi padi di kabupaten Bojonegoro terus mengalami penurunan yang disebabkan oleh banjir dan serangan hama. Sehingga diperlukan suatu penelitian untuk mendapatkan variabel yang berpengaruh signifikan terhadap produksi padi di kabupaten Bojonegoro serta prediksi produksi padi untuk beberapa waktu mendatang menggunakan metode Multivariate Adaptive Generalized Poisson Regression Splines (MAGPRS). Dalam penelitian ini menggunakan metode MAGPRS karena tidak jelasnya bentuk hubungan antara variabel respon terhadap variabel prediktor, serta variabel respon yang digunakan merupakan variabel jumlah yang diduga berdistribusi poisson. Data yang digunakan berupa data di setiap kecamatan di kabupaten Bojonegoro pada tahun 2021 yaitu jumlah produksi padi (Y), luas lahan (X1), jumlah kelompok tani (X2), jumlah penggunaan pupuk NPK (X3), jumlah penggunaan pupuk petroganik (X4), jumlah penggunaan pupuk P-36 (X5), jumlah penggunaan pupuk urea (X6), jumlah penggunaan pupuk ZA (X7), dan serangan OPT (X8). Hasil analisis menunjukkan bahwa model MAGPRS terbaik adalah model dengan nilai BF sebesar 16, MI sebesar 3 dan MO sebesar 2 dengan GCV bernilai 0,33677 dan R2 bernilai 0,980. Variabel luas lahan memberikan kontribusi sebesar 100 %, diikuti dengan variabel jumlah penggunaan pupuk petroganik, jumlah penggunaan pupuk NPK, jumlah kelompok tani, jumlah penggunaan pupuk urea, jumlah serangan OPT dan jumlah penggunaan pupuk ZA. Model MAGPRS mempunyai tingkat akurasi sebesar 92,10 % untuk prediksi jumlah produksi padi di kabupaten Bojonegoro.

Co-Authors Abdul Manaf Jamiluddin Ahmad Tauchid Ali Hamdan Arifat, Muhammad Ayuni, Intan Sri Barata, Mula Bintari Anggi Dwi Sugiarti Denny Nurdiansyah Devy Wulandari Dewi Niswatul Fithriyah Dinda Intan Pramesti Edi Setyanto Hamidatun Nihayah Huda, Tisa Dwi Julianti Ifa Afiana Irsyada, Rahmat Jauhara Rana Budiani, Jauhara Rana Khoirina, Jami’atul Khoirul Wafa Laelatul Nur Ummah Lathifah, Nur Aisyatul M Teguh Deddy Winarko Miftahul Janah Miftahul Janah, Miftahul Moch Nur Faizin Mochamad Nizar Palefi Ma’ady Muhammad Ishlahuddin Nilna Himawati Ningtiyas, Putri Ayu Nita Cahyani Nur Mahmudah Priadana, Benny Widya Puji Aning Nur Nadhifah Putri Utami, Putri Saeful Anwar Sri Rahayu Sufiandi, Enrico Ummi Agustin Yuliana Winarko, M Teguh Deddy Yogi Prana Izza Yunita Dwi Setyoningsih Zakki Alawi

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