PENGUKURAN KINERJA PADA KARYAWAN CV.ASTA MANDIRI KARTONINDO SEMARANG DENGAN MENGGUNAKAN PENDEKATAN HUMAN RESOURCE SCORECARD

SDM merupakan aset strategi dikarenakan sumber daya manusia dengan kapabilitas yang sulit untuk ditiru, langka, tepat, dan istimewa yang memberikan keunggulan kompetitif untuk perusahaan. Secara sederhana aset strategi menjaga perusahaan untuk tetap kompetitif dalam jangka panjang, namun sukar untuk ditiru. Dikarenakan aset SDM untuk perusahaan sangatlah penting mengingat human capital dapat mengimplementasikan strategi perusahaan menjadi kontribusi penting yang menghasilkan nilai untuk perusahaan. Berdasarkan permasalahan untuk penelitian ini tentang pencapaian kinerja SDM terhadap perkembangan suatu perusahaan dengan melakukan pengukuran kinerja dan mengetahui key performance indicator yang terindentifikasi di dalam perusahaan untuk ditindaklanjuti. Untuk itu peneliti akan melakukan pengukuran kinerja pada karyawan CV.Asta Mandiri Kartonindo Semarang dengan menggunakan pendekatan “Human Resource Scorecard” untuk mengetahui kontribusi SDM yang bekerja di perusahaan tersebut khususnya pada bagian yang mempengaruhi nilai perusahaan apakah sudah berjalan sesuai strategi bisnis. Metode yang akan digunakan adalah pendekatan Human Resource Scorecard (HRSc) dan metode Analytical Hierarchy Process (AHP) untuk pembobotan kerangka HRSc. Kuisioner dibagikan kepada 4 orang yaitu direktur, wakil direktur, supervisor dan kepala produksi. Kuisioner ini terdiri atas 3 bagian, yaitu bagian pertama berupa antar kepentingan perspektif, bagian kedua yaitu sasaran strategis yang ingin dicapai dan bagian ketiga merupakan performance index dari masing-masing strategi. Hasil dari penelitian ini adalah berdasarkan hasil pengukuran HRSc melalui Traffic Light System, menghasilkan pencapaian kinerja karyawan CV.Asta Mandiri Kartonindo Semarang pada tahun 2009 adalah 51,834 dan 2011 adalah 58,600 berdasarkan Traffic Light System menghasilkan warna kuning untuk tahun 2009 dan 2011 yang berarti kinerja masih belum mencapai target

Peningkatan Kemampuan Mengidentifikasi Unsur Intrinsik Teks Drama dengan Metode Pembelajaran Stad (Student Team Achievement Division) oleh Siswa Kelas Viiia MTs Raudlatut Tholibin Sidomulyo

The purpose of this study is to improve the ability to edit drama text with STAD learning method (Student Teams Achievement Division) by students of grade VIIIA MTs Raudlatut Tholibin Sidomulyo. This research uses qualitative description method. Sources of data in this study are primary data, namely: students and teachers of secondary data languages, namely: archives and documents and formative students. The technique of data validity using data triangulation. Data analysis techniques using test and non-test techniques that measure the ability to improve the skills to identify intrinsic elements of drama text with STAD learning method (Student Teams Achievement Division) The results in this study as follows: (1) There is an increase in the ability to identify the intrinsic element of drama test in grade VIIIA students MTs Raudlatut Tholibin after the research conducted to identify the intrinsic element of drama test, pre-action test, cycle I and cycle II. The average score of pre-action test was 54.88 after the first cycle action reached 67.29 with sufficient category, in the second cycle action, the average score had increased by 78.46 or categorized well. (2) There is a positional change of student behavior toward learning ability to identify intrinsic element of tesk drama with cooperative learning. Changes in attitudes and behaviors of grade VIIIAMTs Raudlatut Tholibin students experienced better improvements, ie, concentrated non-concentrated students became more concentrated in learning the ability to identify intrinsic elements of text drama

RANCANGBANGUNPANGRANULATORKAPASITAS12,5KG/JAM(PROSESPERAWATAN)

Lapo raniniberisikantentangrancangbangunmesinPanGranulator.Tujuanpenulismembuatalatiniuntukmempermudahprosesmerubahpupukkadangmenjadibutiran-butirankecil.CarakerjaalatiniialahdenganmemasukkanPupukka ndangdengankomposisiyangtelahditentukankedalampenampang,lalupupukakanmenjadibutiransetelahdilakukanpembutiran.Pena mpangpadaporosyangdigerakkanMotorListrik(Daya1/2Hp),Reducer(Perbandingan1:20),denganduakecepatanyaitu(52,5RPMdan70Rpm)yangterdapatpadarangkadudukandanhasilbutiranakanditampungmenggunakanpenampangbawahyangtelahdisediakan.Kat akunci:pupukkandang,pupukorganik,penampang,pisaubutiran,penampangbawa

Trash Art Gallery Di YOGYAKARTA Dengan Penerapan Material Daur Ulang

Mengurangi penggunaan material baru atau penghematan kebutuhan untuk mengurangi proses daur ulang dan eksploitasi sumber daya alam yang berlebihan dapat dilakukan dengan memanfaatkan sampah atau menggunakan barang bekas. Sampah adalah masalah universal dan seni adalah bahasa universal. Seni mendaur ulang sampah menjadi sesuatu yang memiliki nilai seni tinggi merupakan salah satu terobosan yang akan mampu mengurangi jumlah sampah yang ada di sekitar kita. Serta dapat memberikan manfaat yang besar bagi keselamatan lingkungan hidup di bumi. Pesan-pesan untuk menjaga keselamatan lingkungan hidup tersebut dapat disampaikan melalui seni, sehingga seni merupakan salah satu media yang mampu mempengaruhi masyarakat agar berperilaku positif bagi bumi. Semakin banyak seniman yang mengolah sampah menjadi sesuatu yang bernilai seni tinggi, tetapi wadah untuk memamerkannya masih terbatas. Saat ini belum ada galeri khusus yang mewadahi kebutuhan seni dan lingkungan hidup yang menerapkan material bekas sebagai elemen bangunan, sedangkan sudah banyak karya arsitektur yang mampu membantu mengurangi sampah di lingkungan sekitarnya melalui penerapan material daur ulang botol bekas, kayu bekas, ban bekas, kertas karton, dan bahan daur ulang lainnya

PENGARUH METODE BAGIAN TERHADAP HASIL LATIHAN KETERAMPILAN TEKNIK DRIBLING SEPAKBOLA PESERTA EKSTRAKURIKULER DI SMA MUHAMMADIYAH 7 YOGYAKARTA TAHUN 2016

Penelitian ini dilatar belakangi oleh kemampuan menggiring bola siswa masih terbatas sehingga arah dalam menggiring bola mudah ditebak. Penelitian ini bertujuan untuk mengetahui pengaruh metode bagian terhadap hasil latihan teknik dribbling sepakbola siswa peserta ekstrakurikuler sepakbola di SMA Muhammadiyah 7 Yogyakarta. Jenis penelitian adalah eksperimen semu dengan desain “One Group Pretest-Postest Design”. Subjek penelitian adalah siswa peserta ekstrakurikuler sepakbola di SMA Muhammadiyah 7 Yogyakarta yang berjumlah 25 siswa. Instrumen yang digunakan untuk mengukur kemampuan dribbling adalah tes menggiring bola yang dikembangkan oleh Bobby Charlton (dalam Danny Mielke, 2007: 8). Instrumen ini memiliki validitas 0,858 dan reliabilitas 0,963. Analisis data menggunakan uji t taraf signifikansi 5%. Hasil penelitian menunjukkan bahwa ada pengaruh yang signifikan metode bagian terhadap hasil latihan teknik dribbling sepakbola siswa peserta ekstrakurikuler sepakbola di SMA Muhammadiyah 7 Yogyakarta, dengan kenaikan persentase sebesar 2,31%, sehingga Ha diterima

PREVALENSI DAN JENIS PENYAKIT YANG MENGINFEKSI KARANG DI PERAIRAN PULAU ENGGANO BENGKULU

Penyakit karang merupakan salah satu permasalahan ekosistem terumbu karang yang diakibatkan oleh manusia. Penyakit karang dapat menyebabkan penurunan kualitas dan daya imun karang yang ditandai dengan terhambatnya laju pertumbuhan pada karang dan berdampak pada matinya karang di suatu perairan. Penelitian ini bertujuan untuk mengidentifikasi jenis penyakit dan bentuk pertumbuhan karang yang sering terinfeksi penyakit serta menganalisis prevalensi penyakit karang di Perairan Pulau Enggano, Bengkulu. Penelitian ini menggunakan metode survei. Pengambilan data penyakit karang dengan metode transek sabuk (Belt Transect). Hasil penelitian didapatkn 9 jenis penyakit yang ditemukan di Pulau Enggano, yaitu Yellow Band Desease, Black Band Desease, White Band Desease, Red Band Desease, Dark Plague,  White Plague, Pink Plotch, dan Ulcerative White Spots,  serta White Spot. Sedangkan bentuk pertumbuhan (lifeform) karang yang terinfeksi adalah Coral Massive dan Acropora Branching. Tingkat prevelensi karang tertinggi terdapat pada lokasi Kahabi, sedangkan terendah pada Pulau Dua di bagian windward. Tingginya tingkat prevalensi di Kahabi dimungkinkan karena tingginya kedalaman di lokasi tersebut. Rendahnya tingkat prevalensi karang pada Pulau Dua di sisi windward dimungkinkan karena pada sisi ini merupakan daerah yang terkena arus tiap saat, sehingga membantu karang dalam membersihkan sedimen yang menempel pada permukaan yang dimungkinkan membawa bakteri penyebab penyakit karang.CORAL DISEASE PREVALENCE IN ENGGANO ISLAND, BENGKULU. Coral disease is one of the coral reef ecosystem problems caused by humans. Coral disease causes a decrease in the quality and immunity of corals characterized by stunted growth rates on corals and impacts on the death of corals in waters. This study aims to identify the types of coral disease and coral lifeform that are often infected and analyze the prevalence of coral disease in Enggano Island Waters, Bengkulu. This research used survey method. Coral disease data were obtained using the belt transect method. The results obtained 9 types of coral diseases found on Enggano Island, namely Yellow Band Desease, Black Band Desease, White Band Desease, Red Band Desease, Dark Plague, White Plague, Pink Plotch, and Ulcerative White Spots, and White Spot. While infected lifeforms were Coral Massive and Acropora Branching. The highest level of coral prevalence was at the Kahabi site, while the lowest was on Pulau Dua in the windward area. The high prevalence rate in Kahabi might be due to the high depth at the location. The low level of coral prevalence on Pulau Dua on the windward side might be caused by being exposed to the current at any time, thus helping the coral in cleaning sediments attached to the surface which could carry the bacteria that cause coral disease

Impact of COVID-19 on cardiovascular testing in the United States versus the rest of the world

Objectives: This study sought to quantify and compare the decline in volumes of cardiovascular procedures between the United States and non-US institutions during the early phase of the coronavirus disease-2019 (COVID-19) pandemic. Background: The COVID-19 pandemic has disrupted the care of many non-COVID-19 illnesses. Reductions in diagnostic cardiovascular testing around the world have led to concerns over the implications of reduced testing for cardiovascular disease (CVD) morbidity and mortality. Methods: Data were submitted to the INCAPS-COVID (International Atomic Energy Agency Non-Invasive Cardiology Protocols Study of COVID-19), a multinational registry comprising 909 institutions in 108 countries (including 155 facilities in 40 U.S. states), assessing the impact of the COVID-19 pandemic on volumes of diagnostic cardiovascular procedures. Data were obtained for April 2020 and compared with volumes of baseline procedures from March 2019. We compared laboratory characteristics, practices, and procedure volumes between U.S. and non-U.S. facilities and between U.S. geographic regions and identified factors associated with volume reduction in the United States. Results: Reductions in the volumes of procedures in the United States were similar to those in non-U.S. facilities (68% vs. 63%, respectively; p = 0.237), although U.S. facilities reported greater reductions in invasive coronary angiography (69% vs. 53%, respectively; p < 0.001). Significantly more U.S. facilities reported increased use of telehealth and patient screening measures than non-U.S. facilities, such as temperature checks, symptom screenings, and COVID-19 testing. Reductions in volumes of procedures differed between U.S. regions, with larger declines observed in the Northeast (76%) and Midwest (74%) than in the South (62%) and West (44%). Prevalence of COVID-19, staff redeployments, outpatient centers, and urban centers were associated with greater reductions in volume in U.S. facilities in a multivariable analysis. Conclusions: We observed marked reductions in U.S. cardiovascular testing in the early phase of the pandemic and significant variability between U.S. regions. The association between reductions of volumes and COVID-19 prevalence in the United States highlighted the need for proactive efforts to maintain access to cardiovascular testing in areas most affected by outbreaks of COVID-19 infection

A consensus guide to capturing the ability to inhibit actions and impulsive behaviors in the stop-signal task.

Response inhibition is essential for navigating everyday life. Its derailment is considered integral to numerous neurological and psychiatric disorders, and more generally, to a wide range of behavioral and health problems. Response-inhibition efficiency furthermore correlates with treatment outcome in some of these conditions. The stop-signal task is an essential tool to determine how quickly response inhibition is implemented. Despite its apparent simplicity, there are many features (ranging from task design to data analysis) that vary across studies in ways that can easily compromise the validity of the obtained results. Our goal is to facilitate a more accurate use of the stop-signal task. To this end, we provide 12 easy-to-implement consensus recommendations and point out the problems that can arise when they are not followed. Furthermore, we provide user-friendly open-source resources intended to inform statistical-power considerations, facilitate the correct implementation of the task, and assist in proper data analysis

Diagnostic assessment of deep learning algorithms for detection of lymph node metastases in women with breast cancer

Importance Application of deep learning algorithms to whole-slide pathology images can potentially improve diagnostic accuracy and efficiency. Objective Assess the performance of automated deep learning algorithms at detecting metastases in hematoxylin and eosin–stained tissue sections of lymph nodes of women with breast cancer and compare it with pathologists’ diagnoses in a diagnostic setting. Design, Setting, and Participants Researcher challenge competition (CAMELYON16) to develop automated solutions for detecting lymph node metastases (November 2015-November 2016). A training data set of whole-slide images from 2 centers in the Netherlands with (n = 110) and without (n = 160) nodal metastases verified by immunohistochemical staining were provided to challenge participants to build algorithms. Algorithm performance was evaluated in an independent test set of 129 whole-slide images (49 with and 80 without metastases). The same test set of corresponding glass slides was also evaluated by a panel of 11 pathologists with time constraint (WTC) from the Netherlands to ascertain likelihood of nodal metastases for each slide in a flexible 2-hour session, simulating routine pathology workflow, and by 1 pathologist without time constraint (WOTC). Exposures Deep learning algorithms submitted as part of a challenge competition or pathologist interpretation. Main Outcomes and Measures The presence of specific metastatic foci and the absence vs presence of lymph node metastasis in a slide or image using receiver operating characteristic curve analysis. The 11 pathologists participating in the simulation exercise rated their diagnostic confidence as definitely normal, probably normal, equivocal, probably tumor, or definitely tumor. Results The area under the receiver operating characteristic curve (AUC) for the algorithms ranged from 0.556 to 0.994. The top-performing algorithm achieved a lesion-level, true-positive fraction comparable with that of the pathologist WOTC (72.4% [95% CI, 64.3%-80.4%]) at a mean of 0.0125 false-positives per normal whole-slide image. For the whole-slide image classification task, the best algorithm (AUC, 0.994 [95% CI, 0.983-0.999]) performed significantly better than the pathologists WTC in a diagnostic simulation (mean AUC, 0.810 [range, 0.738-0.884]; P < .001). The top 5 algorithms had a mean AUC that was comparable with the pathologist interpreting the slides in the absence of time constraints (mean AUC, 0.960 [range, 0.923-0.994] for the top 5 algorithms vs 0.966 [95% CI, 0.927-0.998] for the pathologist WOTC). Conclusions and Relevance In the setting of a challenge competition, some deep learning algorithms achieved better diagnostic performance than a panel of 11 pathologists participating in a simulation exercise designed to mimic routine pathology workflow; algorithm performance was comparable with an expert pathologist interpreting whole-slide images without time constraints. Whether this approach has clinical utility will require evaluation in a clinical setting

MIBiG 3.0 : a community-driven effort to annotate experimentally validated biosynthetic gene clusters

With an ever-increasing amount of (meta)genomic data being deposited in sequence databases, (meta)genome mining for natural product biosynthetic pathways occupies a critical role in the discovery of novel pharmaceutical drugs, crop protection agents and biomaterials. The genes that encode these pathways are often organised into biosynthetic gene clusters (BGCs). In 2015, we defined the Minimum Information about a Biosynthetic Gene cluster (MIBiG): a standardised data format that describes the minimally required information to uniquely characterise a BGC. We simultaneously constructed an accompanying online database of BGCs, which has since been widely used by the community as a reference dataset for BGCs and was expanded to 2021 entries in 2019 (MIBiG 2.0). Here, we describe MIBiG 3.0, a database update comprising large-scale validation and re-annotation of existing entries and 661 new entries. Particular attention was paid to the annotation of compound structures and biological activities, as well as protein domain selectivities. Together, these new features keep the database up-to-date, and will provide new opportunities for the scientific community to use its freely available data, e.g. for the training of new machine learning models to predict sequence-structure-function relationships for diverse natural products. MIBiG 3.0 is accessible online at https://mibig.secondarymetabolites.org/