PERANAN KH. MOH. MA’SHUM YUSUF DALAM MENGEMBANGKAN PONDOK MODERN ARRISALAH PONOROGO TAHUN 1982-2009

Skripsi ini mengkaji tentang peranan KH. Moh. Ma’shum Yusuf dalam mengembangkan Pondok Modern Arrisalah tahun 1982-2009. Pondok ini mulai dirintis pada tahun 1982 oleh KH. Moh. Mashum Yusuf dan diresmikan pada tanggal 26 Febuari 1985 dengan nama Madinatu At-Thulab. Gagasan utama pendirian Pondok Modern Arrisalah disebabkan rasa keprihatinan KH. Moh. Ma’shum Yusuf terhadap pendidikan anak-anak di sekitar tempat tinggalnya.Adapun permasalah yang dibahas pada penelitian ini, meliputi: (1) Bagaimana latar belakang berdirinya Pondok Modern Arrisalah Ponorogo; (2) Bagaimana perkembangan Pondok Modern Arrisalah Ponorogo tahun 1982-2009; (3) Bagaimana peranan KH. Moh. Ma’shum Yusuf dalam mengembangkan Pondok Modern Arrisalah Ponorogo tahun 1982-2009. Dalam menjawab permasalahan tersebut, penelitian ini menggunakan pendekatan historis yang meliputi heuristik, kritik, interprestasi dan historiografi. Sumber-sumber yang digunakan berupa sumber primer yaitu wawancara langsung dengan pimpinan Pondok Modern Arrisalah Ponorogo yaitu KH. Moh. Ma’shum Yusuf. Selain itu, penulis juga menggunakan beberapa sumber primer berupa arsip dan piagam pendirian Pondok Modern Arrisalah Ponorogo.Berdasarkan penelitian yang dilakukan dapat disimpulkan bahwa, perkembangan Pondok Modern Arrisalah Ponorogo dibagi menjadi tiga periode yaitu, periode pra-pesantren dimulai sejak pertama kali pondok ini dirintis tahun 1982, periode pondok modern bertaraf nasional dimulai sejak peresmian pondok yaitu pada tanggal 26 Pebruari 1985 dan periode pondok modern bertaraf internasional dimulai sejak berubahnya sistem pendidikan di Pondok Modern Arrisalah yaitu tahun 1995 hingga peresmian Yayasan Pondok Modern Arrisalah di tahun 2009. Peranan KH. Moh. Ma’shum Yusuf dalam mengembangkan Pondok Modern Arrisalah Ponorogo yaitu melakukan kerja sama dengan Pondok Modern Gontor Ponorogo, meningkatkan kualitas pendidik dengan jalur pengkaderan dan mengembangkan kegiatan perekonomian guna memenuhi kebutuhan pondok serta pembangunan sarana prasarana pondok. Kata Kunci: Peranan, KH. Moh. Ma’shum Yusuf, Pondok Modern Arrisalah

Hybrid Similarity Function for Big Data Entity Matching with R-Swoosh

Entity Matching (EM) is the problem of determining if two entities in a data set refer to the same real-world object. For example, it decides if two given mentions in the data, such as “Helen Hunt” and “H. M. Hunt”, refer to the same real-world entity by using different similarity functions. This problem plays a key role in information integration, natural language understanding, information processing on the World-Wide Web, and on the emerging Semantic Web. This project deals with the similarity functions and thresholds utilized in them to determine the similarity of the entities. The work contains two major parts: implementation of a hybrid similarity function, which contains three different similarity functions to determine the similarity of entities, and an efficient method to determine the optimum threshold value for similarity functions to get accurate results

18th Annual Reception Bibliography, 2000-2001

Since 1984, Leonard H. Axe Library at Pittsburg State University has honored book authors and other creators for their outstanding scholarship and contributions to their fields

16th Annual Reception Bibliography, 1998-1999

Since 1984, Leonard H. Axe Library at Pittsburg State University has honored book authors and other creators for their outstanding scholarship and contributions to their fields

33rd Annual Reception Bibliography, 2015-2016

Since 1984, Leonard H. Axe Library at Pittsburg State University has honored book authors and other creators for their outstanding scholarship and contributions to their fields

Narrative, Sensemaking, and Improvisation in Participatory Hypermedia Construction

In this paper we describe research into a form of practitioner sensemaking in the context of participatory hypermedia construction sessions, in which groups of people build knowledge maps. We discuss how constructs from narrative theory and improvisation have helped us understand what happens at the moments when practitioners encounter dilemmas and obstacles. We provide brief examples from case studies and discuss possible contributions to broader themes in sensemaking research

Altimeter measurements for the determination of the Earth's gravity field

Progress in the following areas is described: refining altimeter and altimeter crossover measurement models for precise orbit determination and for the solution of the earth's gravity field; performing experiments using altimeter data for the improvement of precise satellite ephemerides; and analyzing an optimal relative data weighting algorithm to combine various data types in the solution of the gravity field

Geophysical parameters from the analysis of laser ranging to Starlette

The results of geodynamic research from the analysis of satellite laser ranging data to Starlette are summarized. The time period of the investigation was from 15 Mar. 1986 to 31 Dec. 1991. As a result of the Starlette research, a comprehensive 16-year Starlette data set spanning the time period from 17 Mar. 1975 through 31 Dec. 1990, was produced. This data set represents the longest geophysical time series from any geodetic satellite and is invaluable for research in long-term geodynamics. A low degree and order ocean tide solution determined from Starlette has good overall agreement with other satellite and oceanographic tide solutions. The observed lunar deceleration is -24.7 +/- 0.6 arcsecond/century(exp 2), which agrees well with other studies. The estimated value of J2 is (-2.5 +/- 0.3) x 10(exp -11) yr(exp -1), assuming there are no variations in higher degree zonals and that the 18.6-year tide is fixed at an equilibrium value. The yearly fluctuations in the values for S(sub a) and S(sub sa) tides determined by the 16-year Starlette data are found to be associated with changes in the Earth's second degree zonal harmonic caused primarily by meteorological excitation. The mean values for the amplitude of S(sub a) and S(sub sa) variations in J2 are 32.3 x 10(exp -11) and 19.5 x 10(exp -11), respectively; while the rms about the mean values are 4.1 x 10(exp -11) and 6.3(10)(exp -11), respectively. The annual delta(J2) is in good agreement with the value obtained from the combined effects of air mass redistribution without the oceanic inverted-barometer effects and hydrological change. The annual delta(J3) values have much larger disagreements. Approximately 90 percent of the observed annual variation from Starlette is attributed to the meteorological mass redistribution occurring near the Earth's surface

A debate dashboard to enhance on-line knowledge sharing

Purpose – Web 2.0 technologies have radically modified the way in which knowledge is created, managed and shared, improving productivity and accelerating innovation processes for the enterprises. These technologies have allowed enterprises to produce knowledge, leverage collective intelligence and build social capital on a scale that was unimaginable a few years ago. In this paper we focus on a particular kind of web-based collaborative platforms known as argument mapping tools and we discuss the main barriers to the adoption of them. Literature has proved that these argument mapping tools provide large and small and medium enterprise with several advantages, but nevertheless, they have low level adoption. In this paper we explore new technological solutions to support the adoption of argument mapping tools. In particular, we propose the design of a Debate Dashboard to provide visual feedback to support online deliberation. These visual feedback aims at compensating the loss of information due to the mediation of the technology. The Debate Dashboard is composed of a set of suitable visualization tools that have been selected on the basis of a literature review of the visualization tools. Design/methodology/approach - We propose a literature review of existing visualization tools. Building on the literature review we selected thirty visualization tools, which have been classified on the basis of the kind of feedback they are able to provide. We identify three classes of feedback: Community feedback (identikit of users), Interaction feedback (about how users interact) and Absorption feedback (about generated content and its organization). We distilled the Debate Dashboard features by building on results of a literature review on Web 2.0 tools for data visualization. As output of literature review we selected six visualization tools. We consider these selected tools as a sort of starting point. Indeed, our aim is the improvement of them through the addition of further features and functions in order to make them more effective in providing feedback. Originality/value – Our paper enriches the debate about computer mediated conversation and visualization tools. We propose a Dashboard prototype to augment collaborative knowledge mapping tools by providing visual feedback on conversations. The Dashboard will provide at the same time three different kinds of feedback about: details of the participants to the conversation, interaction processes and generated content. This will allow the improvement of the benefits and reduce the costs deriving from the use of mapping tools. Moreover, another important novelty is that visualization tools will be integrated to mapping tools, as until now they have been used only to visualize data contained in forums (as Usenet or Slash.dot), chat or email archives Practical implications – The Dashboard provides feedback about participants, interaction processes and generated contents, thus supporting the adoption of mapping tools as technologies able to foster knowledge sharing among remote workers or/and customers and supplier. The integration of Debate Dashboard with common online argument mapping tools aims at enabling the following advantages: 1. Reduction of misunderstanding; 2. Reduction of cognitive effort required to use argument mapping tools; 3. Improvement of the exploration and the analysis of the maps - the Debate Dashboard feedback improves the usability of the object (the map), thus allowing users to pitch into the conversation in the right place