975 research outputs found
KEGIATAN PUBLIKASI HUMAS RS JIWA DAERAH DR. ARIF ZAINUDIN SURAKARTA DALAM MEMBANGUN CITRA POSITIF MELALUI SOSIAL MEDIA RS JIWA DAERAH DR. ARIF ZAINUDIN SURAKARTA
Full text linkIn this modern era, every company must have public relation activities. The main task of public relations is as a mediator or as a link between company and public and a creator of good values in company that being a culture. In application, the author obtained the data regarding public relations in Kuliah Kerja Media (KKM) held for two months from February 16 until April 21 2017 at State Psychiatric Hospital Dr. Arif Zainudin Surakarta located at Jl. Ki Hajar Dewantoro No. 80 Jebres Surakarta. The purpose of the KKM is to make the students prepared to encounter the real world. Besides, KKM’s purpose is as a requirement to get associate degree from Social Science and Politic Faculty of Universitas Sebelas Maret. Information is an instance that can reduce uncertainty or doubt in certain situation. If public do not get adequate information, the company will just have partial description. Delivering or disseminating information is called publishing. So, publication is an activity introducing the company in order that public make acquaintance with the company. As the technology is developing at the moment, every information can be found from mobile phone that most of people have. Now people can get information from social media. Public relations of State Psychiatric Hospital Dr. Arif Zainudin Surakarta utilizes social media to disseminate information and develop the image through publishing the activities via the official social media of State Psychiatric Hospital Dr. Arif Zainudin Surakarta through Website, Facebook, Twitter, Instagram, and Path. After finishing the KKM in State Psychiatric Hospital Dr. Arif Zainudin Surakarta, the author determined the essence of the writing of the final task as follows: Publications Activity through social media State Psychiatric Hospital Dr. Arif Zainudin Surakarta done by public relations of State Psychiatric Hospital Dr. Arif Zainudin Surakarta in developing the good image and information disclosure of the hospita
PERJUANGAN HAJI MUHAMMAD ARIF PADA REVOLUSI NASIONAL INDONESIA (1945-1949) DI JAKARTA TIMUR
Full text linkFrizki Satria Hadapi, Perjuangan Haji Muhammad Arif Pada Revolusi Nasional
Indonesia (1945-1949) di Jakarta Timur. Skripsi, Jakarta: Program Studi
Pendidikan Sejarah, Fakultas Ilmu Sosial, Universitas Negeri Jakarta, 2023.
Penelitian ini membahas tentang perjuangan Haji Muhammad Arif pada Revolusi
Nasional Indonesia (1945-1949) di Jakarta Timur. Tujuan dari penelitian ini adalah
untuk menggali lebih dalam sosok dan peranan Haji Muhammad Arif dalam perang
mempertahankan kemerdekaan Indonesia, mengingat sedikitnya tulisan atau
penelitian yang mengabadikan tentang perjuangan Haji Muhammad Arif. Metode
penelitian yang digunakan dalam penelitian ini adalah metode penulisan sejarah
atau historis dengan model penulisan naratif-deskriptif yang terdiri dari empat
langkah yaitu (1) Pengumpulan data baik sumber primer maupun sekunder yang
berkaitan dengan rumusan masalah yang sudah dipaparkan oleh peneliti. (2) Pada
tahapan kedua dilakukan dua tahap yaitu kritik interndan kritik ekstern guna menguji
kredibilitas sumber-sumber yang telah didapatkan untuk penelitian. (3) Penulis
melakukan interpretasi terhadap fakta historis yang didapat dari sumber-sumber
yang sudah diverifikasi pada tahap kedua. (4) Historiografi atau penulisan sejarah.
Model penulisan yang akan dipakai penulis adalah deskriptif-naratif dimana penulis
memaparkan hasil penelitian secara lengkap dan sistematis. Hasil penelitian ini
menunjukan keterlibatan Haji Muhammad Arif pada peristiwa Revolusi Nasional
Indonesia sebagai tokoh penting yang memimpin perjuangan di Jakarta Timur.
Pengaruh yang dimilikinya berhasil menggerakan masyarakat sebagai bukti adanya
dukungan terhadap kemerdekaan Indonesia, Haji Muhammad Arif berhasil
menggerakan massa untuk datang ke lapangan Ikada, rapat besar Klender untuk
persiapan pelrawanan dan penyerangan penjara Cipinang. Akibatnya pengaruh itu
menjadi ancaman bagi Hindia Belanda dan berakhir pada penangkapan Haji
Muhammad Arif di Karawang pada tahun 1947 dan di penjarakan di penjara
Glodok selama dua tahun, setelah terbebas pada tahun 1949 Haji Muhammad Arif
kembali pada kehidupan sehari-harinya sebagai pedagang, guru mengaji dan guru
silat.
Kata Kunci: Haji Muhammad Arif, Revolusi Nasional Indonesia, Klender,
Pahlawan.
This study discusses the struggle of Hajj Muhammad Arif in the Indonesian
National Revolution (1945-1949) in East Jakarta. The aim of this study is to dig
deeper into the figure and role of Haji Muhammad Arif in the war of defence of
Indonesian independence, bearing in mind the slightest writing or research that
encompasses the struggle of Hajj Mohammed Arif. The research method used in
this study is the method of historical or historical writing with a model of narrativedescriptive writing consisting of four steps, namely (1) collection of data from both
primary and secondary sources relating to the formula of the problem already
presented by the researcher. (2) In the second phase, two phases are carried out:
internal criticism and external criticism to test the credibility of the sources obtained
for research. (3) The author interprets the historical facts obtained from sources that
have been verified in the second phase. (4) Historiography or historical writing. The
writing model that the author will use is descriptive-narrative in which the author
presents the results of the research in a complete and systematic manner. The results
of this research show the involvement of Hajj Muhammad Arif in the events of the
Indonesian National Revolution as an important figure who led the struggle in East
Jakarta. His influence succeeded in moving the people as proof of support for
Indonesian independence, Hajj Muhammad Arid spoke to the masses to come to
the Ikada field, Klender's general meeting for the preparation of the captivity and
the assault on the Cipinang prison. As a result, the influence became a threat to
Dutch Indians and ended with the arrest of Hajj Muhammad Arif in Karawang in
1947 and imprisonment in Glodok prison for two years, after being released in 1949
Haji Mohammed Arif returned to his everyday life as a merchant, teaching teacher
and silat teacher.
Keywords: Haji Muhammad Arif, Indonesian National Revolution, Klender,
Hero
Studi Perbandingan Pelaksanaan Perjanjian Kerja Waktu Tertentu dengan Pegawai Tetap pada PT Sadhana Arif Nusa Rembang
Full text linkThe employment agreement resulted in a working relationship between the worker / laborer and the employer / employer, occurring after an agreement was signed by the worker with the employer, in which the worker stated his ability to work for the employer by receiving wages and the employer stated to his ability to hire workers to pay wages. In this case the author examines a certain time work agreement at PT. Arif Nusa Sadhana. It can be seen that the number of workers in the PT numbered 62 people with permanent workers in the PT as many as 40 workers while workers at a certain time were 22 people. Working time for certain time workers (laborers) every tobacco harvest season, for workers there is no guarantee of such protection. The purpose of writing this implementation is to describe a certain time work agreement at PT. Sadhana Arif Nusa and to explain the problems encountered in the implementation of certain time work agreements at PT. Arif Nusa Sadhana. In this study the author uses a sociological approach. Sociological legal research is one type of legal research that analyzes and assesses its work in society. In this study the author took the location at PT Sadhana Arif Nusa. Data presented from data sources which include primary data and secondary data. Primary data is data obtained in the form of facts or information on the results of research directly at the location of the study and the results of interviews with managers at PT. Arif Nusa Sadhana. While the library data is the data needed in this study are secondary data in the form of legal materials consisting of primary legal material and secondary legal material
Author Correction: Heat transfer analysis of fractional model of couple stress Casson tri-hybrid nanofluid using dissimilar shape nanoparticles in blood with biomedical applications
No full textAuthor correction w.r.t. Acknowledgements sectio
PENENTUAN JUMLAH OPERATOR BERDASARKAN WORKLOAD DAN YAMAZUMI CHART DENGAN PERTIMBANGAN LEARNING CURVE
No full textJika membutuhkan abstrak atau isi jurnal silahkan menghubungi author melalui emailMawaddah Warrahmah Mardatillah1), Arif Rahman2), Remba Yanuar Efranto3Terima kasi
ALGORITMA SHARED NEAREST NEIGHBOR BERBASIS DATA SHRINKING
Full text linkShared Nearest Neighbor (SNN) algorithm constructs a neighbor graph that uses similarity between data points based on amount of nearest neighbor which shared together. Cluster obtained from representative points that are selected from the neighbor graph. The representative point is used to reduce number of clusterization errors, but also reduces accuracy. Data based shrinking SNN algorithm (SSNN) uses the concept of data movement from data shrinking algorithm to increase accuracy of obtained data shrinking. The concept of data movement will strengthen the density of neighbor graph so that the cluster formation process could be done from neighbor graph components which still has a neighbor relationship. Test result shows SSNN algorithm accuracy is 2% until 8% higher than SNN algorithm, because of the termination of relationship between weak data points in the neighbor graph is done slowly in several iteration. However, the computation time required by SSNN algorithm is three times longer than SNN algoritm computational time, because SSNN algorithm constructs neighbor graph in several iteration
Peculiarities of Defective Formations in Heterophase Regions of the Thermotropic Phase Transitions in Liquid Crystals
No full textWOS: 000467977500005A unique feature of phase transitions in liquid crystalline materials is the availability of heterophase regions. In such regions, the simultaneous coexistence of high temperature and low temperature phases takes place. Thermal mobility and temperature gradient in the heterophase regions lead to the appearance of various types of defective formations in the aligned and non-aligned textures of liquid crystalline materials. In the present work, the morphologic, structural, and optical peculiarities of defective formations and non-homogeneities, which appear in the heterophase regions of phase transitions, are investigated. The singular points, disclination, inversion walls, droplets, and confocal formations are objects of the investigations herein. The heterophase regions of the direct and reverse nematic isotropic liquid and smectic A isotropic liquid, smectic C isotropic liquid, and smectic C* isotropic liquid thermotropic phase transitions are created by the original method, that is, the capillary temperature wedge method. Crystallo-optics and crystallo-physics methods are used in this work.Research Foundation of Mugla Sitki Kocman UniversityMugla Sitki Kocman University [15/124]Author is thankful to Prof. Belkis Bilgin-Eran for OHMP and OMPMP liquid crystals. This work has been partially supported by the Research Foundation of Mugla Sitki Kocman University, Grant No. 15/124
High Scalability Document Clustering Algorithm Based On Top-K Weighted Closed Frequent Itemsets
Full text linkDocuments clustering based on frequent itemsets can be regarded a new method of documents clustering which is aimed to overcome curse of dimensionality of items produced by documents being clustered. The Maximum Capturing (MC) technique is an algorithm of documents clustering based on frequent itemsets that is capable of producing a better clustering quality in compared to other similar algorithms. However, since the maximum capturing technique employed frequent itemsets, it still suffers from such several weaknesses as the emergence of items redundancy that may still cause curse of dimensionality, difficult to determine the minimum support value from a set of documents to be clustered, and no weighting on items incurred to the resulting frequent itemsets. To cope with those various weaknesses, in this research, an algorithm of documents clustering based on weighted top-k closed frequent itemsets, which is called as Weighted Maximum Capturing (WMC) algorithm, is developed. The proposed algorithm involves the frequent pattern tree algorithm to mine closed frequent itemsets from a set of documents without specifying the minimum support value of items to be generated. Experimental results showed that improvement on the resulting clustering accuracy was produced. The resulting average values of F-measure of 0.713 and purity of 0.721 with improvement ratio of 1.4% for F-measure and 2% for purity. Nevertheless, results of the scalability test showed very significant improvement. The WMC algorithm only requires the average computing time of 623.77 minutes, 518.05 minutes faster than the average computing time required by the MC algorithm.Documents clustering based on frequent itemsets can be regarded a new method of documents clustering which is aimed to overcome curse of dimensionality of items produced by documents being clustered. The Maximum Capturing (MC) technique is an algorithm of documents clustering based on frequent itemsets that is capable of producing a better clustering quality in compared to other similar algorithms. However, since the maximum capturing technique employed frequent itemsets, it still suffers from such several weaknesses as the emergence of items redundancy that may still cause curse of dimensionality, difficult to determine the minimum support value from a set of documents to be clustered, and no weighting on items incurred to the resulting frequent itemsets. To cope with those various weaknesses, in this research, an algorithm of documents clustering based on weighted top-k closed frequent itemsets, which is called as Weighted Maximum Capturing (WMC) algorithm, is developed. The proposed algorithm involves the frequent pattern tree algorithm to mine closed frequent itemsets from a set of documents without specifying the minimum support value of items to be generated. Experimental results showed that improvement on the resulting clustering accuracy was produced. The resulting average values of F-measure of 0.713 and purity of 0.721 with improvement ratio of 1.4% for F-measure and 2% for purity. Nevertheless, results of the scalability test showed very significant improvement. The WMC algorithm only requires the average computing time of 623.77 minutes, 518.05 minutes faster than the average computing time required by the MC algorithm
Fake Review Detection From a Product Review Using Modified Method of Iterative Computation Framework
No full textThe rapid growth of the Internet influenced many of our daily activities. One of the very rapid growth area is ecommerce. Generally e-commerce provide facility for customers to write reviews related with its service. The existence of these reviews can be used as a source of information. For examples, companies can use it to make design decisions of their products or services, while potential customers can use it to decide either to buy or to use a product. Unfortunately, the importance of the review is misused by certain parties who tried to create fake reviews, both aimed at raising the popularity or to discredit the product. This research aims to detect fake reviews for a product by using the text and rating property from a review. In short, the proposed system (ICF++) will measure the honesty value of a review, the trustiness value of the reviewers and the reliability value of a product. The honesty value of a review will be measured by utilizing the text mining and opinion mining techniques. The result from the experiment shows that the proposed system has a better accuracy compared with the result from iterative computation framework (ICF) method
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