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"Fungsi partikel konjungtif (setsuzokujoshi/接続助詞) to dalam Kamus Pola Kalimat Bahasa Jepang untukPengajar dan Pemelajar (Nihongo Kyoushi to Gakushuusha no Tame no Bunkei Jiten/日本語教師と学習者のための文型辞典) dijabarkan ada enam macam, yaitu: kondisi umum (ippan jouken/ 一般条件),pengulangan/kebiasaan (hanpuku, shuukan/反復.習慣), kondisi hipotetis (katei jouken/仮定条件), kondisi tetap(kakutei jouken/確定条件), to sugu (とすぐ), dan prakata (maeoki/前置き). Setelah menelaah tiap-tiap fungsibeserta subfungsi di dalamnya, penulis jurnal ini menemukan bahwa tiap kelas klasifikasi partikel konjungtif totersebut mempunyai fungsi dan makna tersendiri yang berbeda, namun ada ketumpangtindihan di antara keenamfungsi tersebut. Maka penulis mengusulkan penyederhanaan teori, mereduksinya menjadi empat fungsi denganmengeliminasi fungsi to sugu (とすぐ) dan prakata (maeoki/前置き).

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Dictionary of Japanese Sentence Pattern for Teacher and Learner (Nihongo Kyoushi to Gakushuusha no Tame no

Bunkei Jiten/日本語教師と学習者のための文型辞典) explains six types of conjunctive particle to

(setsuzokujoshi/接続助詞) functions, namely: general condition (ippan jouken/一般条件), repetition/custom

(hanpuku, shuukan/反復.習慣), hypothetical condition (katei jouken/仮定条件), fixed condition (kakutei jouken/

確定条件), to sugu (とすぐ), and preface (maeoki/前置き). After examining each function with its subfunction,

the writer of this journal finds that each class of the conjunctive particle to classification has its own use and

distinct meaning, yet there are some overlaps among the six functions. So the writer proposes to simplify the

theory, reducing them into four functions by eliminating to sugu (とすぐ) and preface (maeoki/前置き)

function."

"Telur ayam kampung atau telur ayam buras adalah telur ayam umum dikonsumsi masyarakat Indonesia sebagai makanan biasa atau juga sebagai obat. Pengklasifikasian kualitas telur ayam kampung. Dilakukan untuk dapat membedakan telur yang layak konsumsi dan tidak layak konsumsi. Beberapa penelitian serupa menggunakan Arduino dan sensor photodioda untuk melakukan klasifikasi, selain itu juga ada beberapa penelitian yang menggunakan machine learning untuk membedakan jenis telur. Dari penelitian yang telah di lakukan dilihat bahwa akurasi masih kecil, dan dirasa masih bisa di ditingkatkan. Dalam penelitian ini dibuat sistem klasifikasi kualitas telur ayam kampung dengan menggunakan algoritma you only look once (YOLO) versi 4. Data set yang digunakan pada penelitian ini berupa data set dari 4 kategori kondisi telur atau 4 class antara lain telur baik, busuk, fertil, dan telur retak. Data set diakuisisi dengan disinari dengan lampu led yang diberikan tegangan 12V pada kotak akuisisi, dan citra ditangkap dengan webcam Logitech c270. Dari pelatihan data set citra telur ayam kampung dihasilkan akurasi sebesar 96.76% di pengujian pada validation set dan sebesar 95.26% pada test set. Dari kasus pendeteksian kualitas telur ayam kampung dengan deep learning berbasis algoritma YOLOv4 ini memungkinkan adanya pengembangan lebih lanjut.

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Local breed chicken eggs or local breed chicken eggs are chicken eggs that are commonly consumed by Indonesian people as ordinary food or also as medicine. Classification of local breed chicken egg quality. This is done to be able to distinguish eggs that are suitable for consumption and not suitable for consumption. Several similar studies used Arduino and photodiode sensors to carry out classification, besides that there were also several studies using machine learning to distinguish types of eggs. From the research that has been done, the accuracy is still small, and it is felt that it can still be improved. In this research, local breed chicken egg quality classification system was created using you only look once (YOLO) version 4 algorithm. The dataset used in this study was a data set of 4 categories of egg conditions or 4 classes including good eggs, rotten, fertile, and cracked eggs. The dataset was acquired by irradiating it with a led lamp supplied with a 12V voltage on the acquisition box, and the image was captured with a Logitech c270 webcam. From the local breed chicken egg image dataset training, an accuracy of 96.76% was obtained in the validation set test and 95.26% in the test set. From the case of detecting local breed chicken egg quality with deep learning based on the YOLOv4 algorithm, it allows for further development."

"Sistem Klasifikasi Dewey Decimal Classification ini merupakan salah satu sistem yang dikenal di kalangan pustakawan.Saking dikenalnya,hampir setiap pustakawan mengenal sistem ini minimal namanya dan bahkan mengetahui urutan kelasnya...."

"There are many information which can be processed in many emails. Clasisification is a way to organize the informations which are be in the emails....."

"Latar belakangPajanan MEK dan sinar ultraviolet di Departemen Stock Fit dapat menggangu kesehatan, khususnya kesehatan mata pekerja. Prevalensi kasus konjungtivitis sebesar 3 % dikalangan pekerja, termasuk pekerja di Departemen Stock Fit, sangat menarik untuk diteliti lebih jauh, apakah kasus konjungtivitis yang terjadi disini sebagai akibat pekerjaan, atau bukan sebagai akibat pekerjaan.MetodeMenggunakaan metode potong lintang (cross sectional) dan dianalisis secara internal comparation. Sampel diambil dari seluruh pekerja perempuan di 4 bagian Departemen Stock Fit, yang proses produksinya menggunakan cairan primer MEK dan sinar ultraviolet. Pengumpulan data dilakukan dengan wawancara manajemen perusahaan, rekam medis poliklinik, pegisian kuesioner dan informed concept oleh pekerja dan pemeriksaan fisik dan status kesehatan mata oleh dokter perawat.HasilPrevalensi konjungtivitis akibat kerja sebesar 10,9% dari 175 pekerja perempuan Departemen Stock Fit. Pajanan MEK mempunyai risiko 3,56 kali dibandingkan pajanan MEK + sinar ultraviolet untuk menyebabkan konjungtivitis akibat kerja.KesimpulanFaktor yang berhubungan dengan terjadinya konjungtivitis akibat kerja adalah pajanan MEK dan radiasi sinar ultraviolet.

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Background

The exposure of Methyl Ethyl Ketone (MEK) fume and Ultra Violet (UV) light at Stock Fit Department of Shoes industry could influence the eye health of the workers. The prevalence of conjunctivitis among the workers is approximately 3%, including the workers at the Stock Fit Department. Therefore, it is very interesting to find out whether the cases of conjunctivitis in this matter are occupation medicine or not.

Method

This is a cross-sectional study using internal comparison analysis. The sample was all women workers of four Sub-department at Stock Fit Department. which the production process uses MEK liquid and UV light. The data was collected by conducting interview with the manager, reviewing the medical records, filling out questionnaires, and performing physical and eye examination by physician and nurses. Informed consent was obtained from the subjects prior to data collection.

Result

The prevalence of occupational conjunctivitis is approximately 10.9% among 1 75 women workers at Stock Fit Department. The exposure of MEK fume is the only one statistically significant factor to occupational conjunctivitis. It is increasing the risk of occupational conjunctivitis 3.56 times greater than the exposure of both MEK fume and UV light.

Conclusion

Factors related to occupational conjunctivitis are MEK liquid and UV light exposure."

"Latar belakang : Pajanan uap MEK yang dijumpai di Departemen Stock Fit mengganggu kesehatan mata pekerja dimana pada penelitian terdahulu oleh Aryawan, prevalensi konjungtivitis akibat kerja sebesar 10.9%. Oleh karena ini peneliti tertarik untuk meneliti pekerja secara studi kohort prospektif, untuk mengikuti perjalanan terjadinya KAK yang diobservasi selama jam kerja (8 jam). Metode merupakan studi kohort prospektif, dengan mengambil sampel sebesar 144 orang di departemen Stock fit dan Stitching. Data dikumpulkan dengan melakukan wawancara pada pekerja, pengisian kuesioner, pengamatan selama 8 jam kerja dan pemeriksaan fisik mata. Pekerja juga mengisi informed consent pada saat sebelum penelitian dilakukan.Hasil : Pada penelitian ini ditemukan insiden Konjungtivitis Akibat Kerja sebesar 43.66%. Diantara kelompok terpajan uap MEK. Faktor-faktor yang berhubungan secara statistik dengan terjadinya konjungtivitis akibat kerja adalah usia, masa kerja dan jenis pekerjaan. Konjungtivitis akibat kerja terjadi mulai jam ke 2 dan meningkat tajam sampai jam ke 4, kemudian bertambah sedikit kasusnya pada jam ke 5 sampai jam ke 8.Kesimpulan : Pajanan uap Metil Etil Keton berhubungan dengan terjadinya Konjungtivitis Akibat Kerja. Proses tahapan terjadinya Konjungtivitis Akibat Kerja terjadi pada jam ke 2 (satu jam setelah bekerja) sampai jam ke 8, sehingga pekerja perlu mematuhi SOP secara benar.

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Background: Exposure of Methyl Ethyl Ketone fume made an effect of the human health, especially for the visual. Aryawan in 2004 has been researched for the conjunctivitis among the women worker and got the prevalence 10.9. %. According to that result, this research has been developed in order to know the conjunctivitis process during working hours among the women worker. The design was cohort prospective study with 144 respondents in stock fit and stitching department in a shoe factory in Tangerang. Data has been collected by interview, measuring and observing the symptom of visual effect during 8 hours (working hours). All the respondents filled in the informed consent prior to the research.

The Result: Incidence of conjunctivitis work related among the exposure group is 43.66%. The factors related to conjunctivitis work related are age, duration of work and occupation. The dominant factor caused to conjunctivitis work related is occupation. Process of conjunctivitis work related begin on the second hour, and increased dramatically until the fourth hours. It slowed down at the fifth until the eight of working hours.

Conclusion: Occupation of the worker (synonym as the exposure of methyl ethyl ketone fume is related to conjunctivitis work related). The effect takes place in the second hour (one hour after starting) until the eighth or last hour. Therefore the workers have to follow the standard operating procedure."

"Land cover information is vital for supporting decision concerning the management of the environment and for understanding the causes and trnds of human and natural processess on the earth surface...."

"The NTIS classification system has simpler notation than DDC. It does not recognize supporting table so that it can determine the notation faster. The number of the main class in NTIS classification system is 39 while DDC is 10. NTIS is most suitable for special libraries in the field of technology such as the Agency for the Assesment and Application of Technology (BPPT) since the system has a more specific technology subject. DDC is also effective for collection data exchange since 2010, referring that generally libraries in Indonesia has not recognized NTIS. Both systems actually have its advantages and disadvantages. In determining notations, both NTIS and DDC use the same initial step that is to determine the collection subject. NTIS is faster especially in handling technology subject. It is also more specific in referring technology subject. The number of the main class in NTIS is 39 while DDC is 10. Both systems have index. NTIS does not have supporting table while DDC has. NTIS uses a simpler notation because it uses only 2 digits. According to a key informant, the NTIS classification system does not recognize supporting table. In terms of notation search, NTIS's scheme is faster because it uses limited classification numbers. Index is mostly used for determining classification notation. Index in both systems is a clue represented in a systematically arranged letters. In NTIS, it can be figured out that subjects on technology is more specific yet in some certain categories is not as detail as DDC."