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"I have devised a methodical research outline for students' final project that involve photography as their main medium. The method accomodates the two major kinds of photographic project characteristics. the first is the conceptual or the commercial type, and second is observational or the photo story type. This article focuses on a photo story type project by a student who has followed the method closely. Osel Gunarso focused his study on documenting a unique aculturation between Christian tradition and Balinese customs in the village of Blimbingsari in Jembrana Country, Bali. Thropugh ethnography and qualitative analysis, Gunarso archived visual discourse of understanding a cultural phenomenom. Although he had beautifully exhibited his documentary project, it also projected several problem and issues that would be important to consider in future project with similar conditions, especially undergraduate final projects that are confined to a single semester. Technical and non-technical issues in documentary photography become significant and therefore must be addressed in advance along with the methodology."

"Thoroughly revised and updated, Exploring Bioinformatics: A Project-Based Approach, Second Edition is intended for an introductory course in bioinformatics at the undergraduate level. Through hands-on projects, students are introduced to current biological problems and then explore and develop bioinformatic solutions to these issues. Each chapter presents a key problem, provides basic biological concepts, introduces computational techniques to address the problem, and guides students through the use of existing web-based tools and software solutions. This progression prepares students to tackle the On-Your-Own Project, where they develop their own software solutions. Topics such as antibiotic resistance, genetic disease, and genome sequencing provide context and relevance to capture student interest. With a focus on developing students' problem-solving skills, the Second Edition of Exploring Bioinformatics: A Project-Based Approach is a contemporary and comprehensive introduction to this rapidly growing field. New to the thoroughly updated Second Edition: Offers a flexible approach to understanding key bioinformatics algorithms with exercises that can be used with or without programming. For programming courses, pseudocode allows students to implement algorithms in any desired programming language. Includes more substantive web-based projects for a more comprehensive, hands-on introduction to bioinformatics in non-programming courses. Contains updated material reflecting changes in how bioinformatics is used: next-generation sequencing, metagenomic analysis, statistical methods, etc. Contains more instructive and relevant case studies as well as more cohesive connections between the case studies and the exercises."

"Segmentasi dalam dunia medis sudah menjadi suatu hal yang penting untuk menentukan diagnosa awal dari suatu penyakit, misalnya timbulnya tumor pada organ-organ tubuh yang berukuran kecil dan sulit teramati oleh mata telanjang. Namun, jika segmentasi dilakukan secara manual dan tradisional akan membutuhkan waktu yang banyak serta menyebabkan hasil yang tidak konsisten. Oleh karena itu, dibutuhkannya segmentasi secara otomatis yang dapat membantu dokter tidak hanya dalam mengetahui keberadaan tumor, melainkan juga dapat mengkuantifikasi ukuran tumor. Dalam penelitian ini, segmentasi otomatis dengan machine learning diterapkan menggunakan metode clustering K-Means pada fantom ekuivalen hati berbentuk silinder. Fantom ekuivalen terbuat dari material tepung beras dan lilin, yang kemudian diinjeksikan dengan radioaktivitas 18F-FDG sebesar 1,89 µCi/mL. Pengolahan citra fantom dilakukan dengan pesawat PET/CT Siemens Biograph menggunakan metode rekonstruksi Iterative 3D dan True-X serta 2 filter (Gaussian dan Butterworth). Akurasi deteksi algoritma K-Means menunjukkan bahwa dapat optimal pada tiga tipe pemindaian dengan terdeteksinya seluruh objek pada citra fantom. Namun, hal tersebut terkecualikan pada filter Gaussian dengan metode rekonstruksi Iterative 3D karena algoritma K-Means tidak dapat mendeteksi objek terkecil (4 mm) pada kedua wilayah fantom. Indikasi tidak terdeteksinya objek terkecil, dapat disebabkan oleh kinerja algoritma yang mengelompokkan objek dengan nilai piksel yang sama. Untuk hasil kuantifikasi diameter dengan algoritma K-Means (Dp) menunjukkan bahwa, hasil ukuran diameter lebih besar ±1-3 mm dibandingkan diameter fisis fantom (Dt) pada ketiga pemindaian. Namun, hal tersebut tidak berlaku pada pemindaian filter Gaussian dengan metode rekonstruksi Iterative 3D, yang memiliki kuantifikasi lebih kecil dibandingkan . Berdasarkan hasill kuantifikasi pada keempat pemindaian, ditunjukkan bahwa algoritma K-Means optimal pada filter Butterworth dengan metode rekonstruksi True-X dengan rata-rata RD untuk seluruh objek kurang dari 10%. Sehingga, untuk memvalidasi hal tersebut metode pengukuran K-Means dibandingkan dengan metode pengukuran FWHM dan FWTM dengan merata-ratakan kuantifikasi untuk setiap objek dari semua irisan. Tervalidasi bahwa algoritma K-Means memiliki performa yang optimal, dengan anilai RD yang dihasilkan hampir mendekati 0%.

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Segmentation in medical, has become an important thing to determine the initial diagnosis of a desease, for example the emergence of tumors in organs that are small and difficult to observe manually. However, if the segmentation in medical is done manually and traditionally it will take a lot of time and cause inconsistant results. Therefore, automatic segmentation is needed which can help doctors not only by knowing the presence of tumors, but also in quantifying tumor size. In this study, automatic segmentation with machine learning was applied using the K-Means clustering algorithm method on the cylindrical liver equivalent phantom. The equivalent phantom was made from rice flour and wax, and the euqivalent phantom was injected with 18F-FDG with radioactivity 1,89 µCi/mL. The image processing was carried put using a PET/CT Siemens Biograph with Iterative 3D and True-X as reconstuction methods and 2 filters (Gaussian and Butterworth). The detection accuracy of the K-Means algorithm shows that it can be optimal in three types of scanning by detecting all objects in the phantom image. However, this is ecluded in the Gaussian filter with Iterative 3D reconstruction method, because the K-Means algorthm cannot detect the smallest object (4 mm) in both phantom regions. Indications for that phenomenon, could be caused by the performance of the algorithm that grouping the cluster with the same pixel value. For diameter quantifications of from K-Means algorithm shows that the diameter ±1-3 mm larger than the pyhsical fantom diameter (Dt). Based on the result of Dp quantification on the for type of scans, it it shown that the optimal K-Means algorithm on the Butterworth filter with the True-X reconstruction method with an average RD for all objects in phantom is less than 10%. So, to validate this result, the K-Means measurement method is compared with the FWHM and FWTM measurements methods by averaging the quantification for each object from all slices. It is validated that, the K-Means algorthm has optimal performance by reffering to the FWTM measurement where RD value is close to 0%."

"Kehadiran kembali Belanda pada tahun 1946, menyebabkan aksi polisionil Belanda yang massif ke daerah-daerah. Pada sat itu Belanda menekan orang-orang Tionghoa untuk bekerjasama. Akibatnya etnis Tionghoa di daerah-daerah di Indonesia dibunuh. Di Jawa Timur, di Kertosono, Nganjuk, Caruban, madiun, Blitar, Tulungagung, Kediri, dan Malang mereka dijarah, dirampok, dibunuh, diperkosa.Pada tahun 1951 oleh Chung Hua Tsung Hui sebuah organisasi komunitas orang-orang Tionghoa dibentuklah tim yang mencari dan menggali orang-orang Tionghoa yang dibunuh pada tahun 1947-1948 di sekitar kota Blitar. "

"ABSTRAKPenelitian ini untuk mengetahui pendapat para pengguna (wartawan surat kabar The Jakarta Post) terhadap kinerja layanan dokumentasi foto yang diproyeksikan pada layanan penelusuran dan peminjaman foto dan layanan cuci cetak foto di bagian dokumentasi foto surat kabar berbahasa Inggris The Jakarta Post.Populasi dalam penelitian ini adalah wartawan The Jakarta Post yang menggunakan layanan dokumentasi foto. Penarikan sampel dilakukan secara acak. Pengumpulan data dilakukan dengan cara survei yaitu menyebarkan kuesioner kepada para responden (wartawan The Jakarta Post) yang dilengkapi dengan wawancara terhadap responden yang bersangkutan. Data yang diperoleh diolah dengan perhitungan prosentase yang menggunakan rumus : _

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"Siswa dengan sindroma Asperger mempunyai kesulitan utama dalam interaksi sosial. Mereka kesulitan dalam menguasai keterampilan sosial, khususnya dalam memulai interaksi. Memulai interaksi merupakan keterampilan sosial penting yang dibutuhkan anak untuk terlibat dalam interaksi sosial dan mempelajari keterampilan sosial lain yang lebih kompleks. Intervensi dilakukan untuk memunculkan perilaku memulai interaksi dengan metode social story, yaitu cerita singkat yang dilengkapi gambar untuk meningkatkan pemahaman siswa mengenai situasi sosial yang dihadapi. Social story diberikan sebanyak enam kali dengan target perilaku memulai interaksi, yaitu menyapa, memulai pembicaraan dan meminjam barang. Penelitian menggunakan desain penelitian kasus tunggal dengan subjek siswa dengan sindroma Asperger yang memiliki taraf inteligensi perbatasan (IQ = 78, skala Stanford Binet). Metode pengukuran dilakukan dengan observasi tidak berstruktur dan wawancara berstruktur kepada guru dan orang tua siswa. Berdasarkan perbandingan hasil pengukuran sebelum dan sesudah intervensi ditemukan bahwa program social story belum berhasil memunculkan perilaku memulai interaksi pada siswa dengan Sindroma Asperger. Ketidakberhasilan ini dipengaruhi karakteristik subjek yang mempunyai keterbatasan dalam bahasa ekspresif, kurangnya kesempatan untuk mempraktekan perilaku memulai interaksi dan perlunya memasangkan metode social story dengan metode prompting.

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The main difficulty of student with Asperger syndrome is in social interaction. It is difficult for the student to develop social skills that needed for social interaction, especially to initiate interaction. This difficulty prevent student to learn complex social skills and experience social involvement. The aim of the intervention is to stimulate social initiation behavior for student with Asperger syndrome by applying social story. a short story that equip with pictures to enhance social understanding for student with Asperger syndrome. Social story is given for six times to stimulate social intitiation for the following behavior, greeting, starting conversation and borrowing thing. The research design is single case design, the subject is student with Asperger syndrome that has borderline intellectual ability (IQ = 78, skala Stanford Binet). Unstructured observation and structured interview to teacher and parent are used as the measurement methods in the research. Based on the comparison between before and after intervention measurement, it is found that social story is not successfully to stimulate social initiation behavior for student with Asperger syndrome. Several reasons that prevented the intervention to be succesfull are, the subject characteristic as student with Asperger that has limited expresive language, limited chance to practice and apply the skills and to combine social story with prompting method."