Judul: Analisis Struktur Nafkah Dan Penghidupan Rumahtangga Pekerja Batik Tulis Tradisional  (Studi Sosio-Ekonomi Dua Tipe Industri Batik di Kota Pekalongan Provinsi Jawa Tengah)
Abstrak: Batik industry is making batik textile industry and is done by writing without the aid of modern machinery that uses a retractable “canting batik” on factory, pattern, color and unique texture. Nearly 80% of people's livelihood in Pekalongan have industrial sectors, namely industrial batik. From the beginning until now rely on the livelihoods of people in Pekalongan batik. Presence in the city of Pekalongan batik industry affects workers social batik life. What about their social life or work in small businesses and large enterprises to be able to survive in the Batik industry. The purpose of this study summarized in three questions. First, know the different structure of the domestic life of traditional batik workers in small industries and large industries on site. Second, know the difference in the quality of social life of traditional batik workers in small industries and large industries on site. This research was conducted in Pekalongan, Central Java in March 2011. The primary data obtained through questionnaires to respondents and in-depth interview to the informant, while the secondary data obtained from the relevant governmental institutions. Respondents were selected using random sampling techniques to select 60 respondents from the two industry types, namely Small and Large. Second batik industry, which consists of four small and four large industry, with a total of eight in the entire industry Pekalongan batik. Region chosen as the location of the batik industry Medono, Pesindon Batik Tourism Village, Kampung Batik Kauman, Noyontaan and Setono. Data were analyzed with Chi-Square test statistic with alpha value of 10%. The result is processed, then analyzed with frequency is presented in table and cross table. The results showed the economic conditions of domestic workers in two types of batik industry, both small and large industries. Seen on the structure of household income earned, changes in the level of income in the year 2006-2011 batik, the perception of the contribution of household income, changes in employment opportunities outside the batik industry sector in the year 2006-2011, the effect-making skills, to increase the hours of overtime work of batik, structure of expenditure/household consumption and labor time allocation batik. It can be concluded that the workers of the traditional batik home industries, small and large industries will survive (survival) in the economic sector because batik used as I support a "last resort" the workers batik. The role of the husband contributed much in household livelihood support. According to the results of field research in the social life of the workers in both types of industry batik changed his social life. Especially in the large industrial workers batik a greater level of satisfaction with the work in the batik industry.
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Judul: Household  economic  decisions  of  small  industry  female  worker  of  tenun  ikat  fabric  in  bandar  kidul  village,  kota  kediri
Abstrak: Sektor industri memegang peranan strategis dalam upaya mencapai sasaran pembangunan ekonomi. Hal ini dikarenakan sektor industri memberikan kontribusi terhadap pembentukan Produk Domestik Bruto (PDB) sangat besar serta dapat membuka peluang dalam memperluas lapangan pekerjaan (Kementerian Perindustrian 2013). Salah satu penyumbang PDB sektor industri adalah sektor industri kecil yang merupakan subsektor industri nonmigas. Salah satu industri kecil yang memberikan peluang dalam memperluas lapangan kerja adalah industri kecil kain tenun ikat di Kelurahan Bandar Kidul, Kota Kediri. Tujuan penelitian adalah untuk: (1) menganalisis faktor-faktor yang mempengaruhi keputusan rumahtangga pekerja wanita industri kecil kain tenun ikat dan (2) menganalisis dampak perubahan faktor eksternal dan internal rumahtangga pekerja wanita industri kecil kain tenun ikat terhadap keputusan ekonomi rumahtangga di Kelurahan Bandar Kidul, Kota Kediri. Penelitian menggunakan data cross section dengan sampel rumahtangga pekerja wanita industri kecil kain tenun ikat tahun 2014. Model Ekonomi Rumahtangga pekerja wanita industri kain tenun ikat dibangun sebagai suatu sistem persamaan simultan dan diestimasi menggunakan metode Two Stage Least Squares (2SLS). Pada pekerja wanita industri kain tenun ikat peningkatan upah pekerja dalam industri (66 persen) merupakan simulasi terbaik dalam meningkatkan kesejahteraan rumahtangga pekerja., Industry sector hold a strategic role in order to reach the target of the economic development. This was because industry sector gave a big contribution in Gross Domestic Product (GDP) establishment and opened the big opportunity in the jobs access (Industry Ministry of Indonesia, 2013). One of GDP contributors in industry sector was the small industry sector which is non oil and gas industry sub sector. One of the small industries sector that was gave an opportunity in opening the job access was Tenun Ikat fabric industry in Bandar Kidul village, Kota Kediri. The aims of this research were (1) analyze the factors that influenced the Tenun Ikat fabric female worker household decision and (2) analyze the impact of external and internal factors on female worker household decision in Bandar Kidul village, Kota Kediri. This research was used cross section data with Tenun Ikat fabric female worker household in 2014 as the sample. The Economic Household Model of Tenun Ikat fabric female worker was built as one of simultaneously system and estimated by Two Stage Least Squares (2SLS) method. The result wa s in Tenun Ikat fabric female worker in industry (66 percent) was the best simulation in increasing the female worker household welfare.
Keyword: Industri  Kecil, Kain  Tenun  Ikat, Kesejahteraan  Rumahtangga, Peningkatan Upah Pekerja

Judul: Quantum Convolutional Neural Network (QCNN) for Classification Brain Tumor MRI Image
Abstrak: Penelitian ini bertujuan untuk mengembangkan model deteksi tumor otak menggunakan citra MRI dengan metode Quantum Convolutional Neural Network. Data yang digunakan adalah citra MRI otak yang terdiri dari citra tumor otak glioma, meningioma, hipofisis, dan negatif tumor yang dibagi kedalam data latih dan uji dengan rasio 80:20. Selanjutnya data latih dilakukan penyeimbangan dengan teknik oversampling. Dilakukan pengembangan model untuk mendeteksi tumor otak (biner), dan juga model untuk mengklasifikasikan jenis tumor otak (multiclass). Parameter yang digunakan dalam pengembangan model adalah jumlah ukuran filer = 2 dan kedalaman = 4, dengan qubit 4, dan dilatih dengan jumlah epoch sebanyak 10. Data akan diproses dengan metode Quantum Convolutional Neural Network yang terdiri dari lapisan quantum convolution, lapisan flatten, dan lapisan dense. Model multiclass mendapatkan akurasi 52%, setelah data latih diseimbangkan akurasi model meningkat menjadi 62%, sedangkan model biner mendapatkan akurasi 88%, setelah data latih diseimbangkan akurasi model meningkat menjadi 89%.
Keyword: Citra MRI, Klasifikasi Citra, QCNN, Tumor Otak