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"ABSTRAKTinjauan mengenai kehidupan masyarakat Kota Garut selama kurun waktu 35 tahun (1935-1965) merupakan kajian sejarah sosial yang membahas masalah pemerintahan, kehidupan sosial ekonomi, pendidikan, dan kebudayaan.Rentangan waktu yang dikaji dalam studi ini, yakni sejak zaman Pemerintahan Kolonial Belanda (1930-1942), zaman Pendudukan Tentara Jepang (1942-1945), dan zaman kemerdekaan RI (1945-1965).Dalam masalah pemerintahan, fokus kajian terutama diarahkan kepada keadaan pemerintahan dan peranan, serta kedudukan bupati sejak masa Mob. Musa Suria Karta Legawa, Bupati Kabupaten Garut ke-3 (1929-1944) sampai dengan Rd. Gahara, Bupati Kabupaten Garut ke-10 (1960-1966). Keadaan pemerintahan dan peranan, serta kedudukan bupati ini mengalami naik-turun sesuai dengan perubahan politik di tingkat pusat.Dalam masalah kehidupan sosial ekonomi, fokus kajian diarahkan kepada mata-pencaharian masyarakat bumiputra, Cina, Arab, dan Pakistan yang selalu berubah setiap periode. Perubahan sosial ekonomi masyarakat bumiputra nampak berubah setelah Kota Garut menjadi Kota Pariwisata, yang banyak dikunjungi oleh para wisatawan dalam dan luar negeri. Sejak itu masyarakat bumiputra selain bekerja sebagai petani, pedagang, buruh, juga mulai bekerja di hotel-hotel sebagai jongos (pelayan), juru masak, tukang kebun, pramuwisata (guide), dan sebagainya. Pada masa Pendudukan Tentara Jepang kehidupan sosial ekonomi masyarakat pada umumnya berubah secara drastis, yakni menjadi sengsara, akibat sikap Pemerintahan Militer Jepang yang bertindak di luar batas perikemanusiaan. Menginjak zaman kemerdekaan RI 1945, mata-pencaharian penduduk bumiputra nampak lebih bervariasi, yakni selain bekerja sebagai petani, pedagang, buruh, dan sebagainya, juga ada yang bekerja sebagai pegawai negeri (guru, ABRI, atau karyawan). Meskipun demikian, namun perubahan ke arah kehidupan yang sejahtera belum tercapai, akibat secara beruntun masyarakat Kota Garut diganggu oleh peristiwa-peristiwa politik yang menimbulkan trauma yang mendalam, yakni Pendudukan Tentara Belanda (1947-1948), peristiwa DI/TII Kartosuwiryo (1949-1962), peristiwa aksi rasialis anti-Cina dan peristiwa G 30 S/PKI 1965.Sebenarnya banyak juga kaum bumiputra yang bekerja di sektor perdagangan, namun pada umumnya mereka kurang berhasil, karena terutama mendapat saingan dari orang-orang Cina, yang sudah mendominasi bidang perdagangan sejak zaman Kolonial Belanda.Selain orang-orang Cina, juga peran orang-orang Arab dan Pakistan tidak bisa diabaikan. Mereka mulai berusaha sebagai pedagang sejak kedatangannya di Kota Garut.Dalam masalah pendidikan fokus kajian diarahkan kepada minat masyarakat terhadap sekolah, yang mengakibatkan berubahnya nilai dan perilaku masyarakat untuk bersikap rasional dan modern. Dalam kebudayaan dibahas masalah seni musik yang terutama diminati oleh generasi muda dan kepercayaan yang terutama berhubungan dengan kehidupan keagamaan dan tradisi masyarakat.

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ABSTRACTThe study of society existence in Garut City for 35 years (1935-1965) is study of social history which is related to government, social-economy, education, and culture.The periods of time which are studied i.e. period of the Dutch (1930-1942), period of Japanese Army Occupation {1942-1945), and period of after Indonesia Independence (1945-1965).Related to government, study is focused on the situation of government, role, and position of regents since Moh. Musa Suria Karta Legawa, the third regent of Garut Regency (1929-1944) until Rd. Gahara Widjajasoeria, the tenth regent of Garut Regency (1960-1966). The situation of government, role, and position of regents went through up and down matched political change in government center.Related to social-economy, study is focused on the livelihood of Natives, Chineses, Arabs, and Pakistanis. The change of social-economy of Natives seems changed after Garut City became a tourist spot which was visited by people all over the world, where livelihood of Natives beside as peasants, traders, laborers, etc., also began to work in hotels as jongos (servant), cooks, guides, etc. In the period of Japanese Army Occupation the situation of people livelihood generally changed drastically, i.e. became being poor because the attitude of Japanese Army acted beyond humanity. In the period of post-Indonesian Revolution, livelihood of Natives became more various, i.e. beside they worked as peasants, traders, laborers, also they worked as government official (like teachers, Armies/ABRI, or workers). Although the Natives livelihood after Indonesia Independence showed variety, but change towards being welfare had not yet come true, because the people at that time were disturbed by political events successively, i.e. the Occupation of Dutch Army (1947--1948), rebellion of DIITII Kartosuwiryo (1949-1962), racial action of anti-Chinese (1963), and event of coup d'etat of PKI (G 30 SIPKI) 1965.Actually many Natives worked as traders, but generally they were not as succesful as Chinese who had dominated trade sector since era of the Dutch. The Chinese is the main competitor for Natives in trade sector.Beside Chinese, also the role of Arabs and Pakistanis in trade sector can not be neglected. They began to work as traders since their arrival in Garut City.Related to education, study is focused on people interest towards education, which had caused changed value and behavior of people to be rational and modern.Related to culture, study is focused on music which was liked especially by young generation and beliefs, particularly which are related to the existence of religion and tradition of people."

"Thirty-three-year-old Shea Rigsby has spent her entire life in Walker, Texas, a small college town that lives and dies by football, a passion she unabashedly shares. Raised alongside her best friend, Lucy, the daughter of Walker's legendary head coach, Clive Carr, Shea was too devoted to her hometown team to leave. Instead she stayed in Walker for college, even taking a job in the university athletic department after graduation, where she has remained for more than a decade. But when an unexpected tragedy strikes the tight-knit Walker community, Shea's comfortable world is upended, and she begins to wonder if the life she's chosen is really enough for her. "

"Stunting adalah salah satu masalah gizi yang mengganggu perkembangan pada anak yang diakibatkan oleh asupan gizi buruk pada masa pertumbuhannya. Indonesia tergolong sebagai negara dengan prevalensi stunting yang tinggi dengan angka sebesar 30.8% untuk anak Balita dan 29.9% untuk anak Baduta berdasarkan hasil Riskesdas 2018. Berdasarkan penelitian yang dilakukan oleh Balitbangkes, stunting terbukti membahayakan garis keturunan. Bayi dengan kondisi stunting membuat pertumbuhan dan perkembangan terhambat dan juga membuka resiko terhadap menderita penyakit tidak menular seperti diabetes mellitus pada saat dewasa. Jika bayi stunting perempuan tumbuh besar sehingga menjadi ibu, maka ibu tersebut akan melahirkan bayi stunting lagi dan mengakibatkan kondisi stunting lintas generasi. Dalam skripsi ini, pemodelan sistem prediksi stunting memanfaatkan metode machine learning berdasarkan data sekunder dari Indonesian Family Life survey (IFLS) tahun 2014-2015. Pemodelan dilakukan menggunakan bahasa pemrograman Python. Dilakukan pre-processing dengan metode yang berbeda-beda, yaitu Principal Component Analysis (PCA) dan 3 jenis Feature Selection: Filter, Wrapper, dan Embedded. Ketidakseimbangan dataset ditangani dengan metode SMOTE. Dilakukan pemisahan data menjadi training set dan testing set dengan pembagian 80:20 masing-masing. Kemudian beberapa algoritma model machine learning diujikan untuk mengetahui kemampuan prediksinya untuk setiap metode pre-processing. Hasil penelitian menunjukan bahwa setidaknya 1 dari 4 model untuk tiap metode pre-processing memiliki kemampuan yang baik dengan menunjukan nilai metrik dan AUC di atas 0,8. PCA dengan Decision Tree Classifier menunjukan akurasi 85% dan AUC 0,849. Feature Selection–Wrapper dengan SVC menunjukan akurasi 98% dan AUC 0,981. Feature Selection-Filter menunjukan akurasi 98% dan AUC 0,979. Feature Selection–menunjukan akurasi 84% dan AUC 0,844. Hal ini menjadikan kombinasi algoritma terbaik dalam penelitian ini adalah metode pre-processing Feature Selection–Wrapper dengan model machine learning SVC.

......Stunting is one of the nutritional problems that interfere with development in children caused by poor nutritional intake during their growth period. Indonesia is classified as a country with a high prevalence of stunting with a figure of 30.8% for under-five children and 29.9% for under-two children based on the results of Riskesdas 2018. Based on research conducted by Balitbangkes, stunting has proven to endanger lineage. Babies with stunting conditions would have their growth and development stunted and also open the risk of suffering from non-communicable diseases such as diabetes mellitus in adulthood. If the female stunting baby grows up to become a mother, then the mother will give birth to another stunting baby and results in cross-generational stunting conditions. In this bachelor’s thesis, the stunting prediction system modeling utilizes machine learning methods based on secondary data from the 2014-2015 Indonesian Family Life Survey (IFLS). The modeling is carried out using the Python programming language. Pre-processing is carried out with different methods, namely Principal Component Analysis (PCA) and 3 types of Feature Selections: Filter, Wrapper, and Embedded. Dataset imbalance is handled by the SMOTE method. Separate the data into training sets and testing sets with a distribution of 80:20 each. Then several machine learning model algorithms were tested to determine their predictive ability for each pre-processing method. The results showed that at least 1 of the 4 models for each pre-processing method had a good ability indicated by the metric and AUC values ​​above 0.8. PCA with Decision Tree Classifier shows an accuracy of 85% and AUC 0.849. Feature Selection–Wrapper with SVC showed 98% accuracy and AUC 0.981. Feature Selection–Filter shows 98% accuracy and AUC 0.979. Feature Selection–Embedded shows an accuracy of 84% and AUC 0.844. The result shows that best combination of algorithms in this study is the Feature Selection–Wrapper pre-processing method with the SVC machine learning model."