scholarly journals Perancangan Aplikasi Knowledge Management di Instansi Kearsipan Berbasis Model Choo-Sense Making

2021 ◽  
Vol 8 (1) ◽  
pp. 15
Author(s):  
Eko Nur Hermansyah ◽  
Danny Manongga ◽  
Ade Iriani

<p align="center"><strong>Abstrak</strong></p><p>Intansi Kearsipan memiliki berbagai pengetahuan yang digunakan untuk pengelolaan arsip yang dimilikinya, <em>knowledge management</em> digunakan untuk mengumpulkan, mengelola, dan menyebarluaskan pengetahuan yang dimiliki, sehingga pengetahuan yang dimiliki oleh instansi kearsipan dapat digunakan untuk kemajuan intansi dan tidak hilang. Penelitian ini dilakukan di Dinas Perpustakaan dan Kearsipan Kota Salatiga. Pengumpulan data dilakukan dengan wawancara petugas kearsipan untuk mengumpulkan data tentang pengetahuan yang dimiliki dan cara penyimpanan serta penyebarluasan yang diterapkan di intansi kearsipan. Analisis data dilakukan dengan mengelompokkan pengetahuan yang dimiliki oleh intansi kearsipan sesuai dengan model <em>Choo-Sense Making</em>, untuk kemudian diterapkan di <em>Confluence</em> sesuai dengan hasil dari pengolahan data dengan model <em>Choo-Sense Making</em>. Hasil dari penelitian ini untuk model <em>Choo-Sense Making</em> pengetahuan di intansi kearsipan dibagi atas 3 tahap yaitu <em>Sense Making</em> yang berisi tentang pengetahuan yang berasal dari luar intansi dibuatkan wadah sebagai media diskusi, <em>chatting,</em> <em>Knowledge Creating</em> berisi tentang pengetahuan-pengetahuan yang dimiliki intansi kearsipan yang telah di dokumentasikan diubah dalam betuk <em>softfile</em> kemudian diunggah kedalam <em>space</em> untuk memudahkan penyimpanan serta penyebarluasan pengetahuan yang dimiliki, dan <em>Decision Making</em> yang berisi tentang jadwal-jadwal intansi dan evaluasi yang dilakukan intansi kearsipan. Hasil dari model <em>Choo-Sense Making</em> dimasukan ke <em>Confluence</em>, memperoleh hasil <em>space</em> yang dapat memudahkan menyimpan pengetahuan yang dimiliki berupa file aplikasi, <em>softfile</em>, serta memudahkan dalam pencarian kembali dan penyerluasan pengetahuan yang dimiliki. Penerapan <em>Choo-Sense Making</em> selain untuk mempermudah penyimpanan dan penyerbaluasan serta komunikasi, dapat mengurangi resiko kehilangan pengetahuan yang dimiliki oleh intansi kearsipan.<strong> </strong></p><p><strong>Kata kunci<em>: </em></strong><em>Knowledge Management, Model Choo-Sense Making, Confluence</em>, Perpustakaan dan Arsip</p><p align="center"><em>Abstract</em></p><p><em>Archival Agency has several knowledge that are used to manage the owned archive, knowledge management is used to collect, manage and disseminate the owned knowledge so that the knowledge that the archival agency has can be used for the agency progress and it will not missing. The research is conducted in Dinas Perpustakaan dan Kearsipan Kota Salatiga. Data collecting is conducted by interviewing the archival officer to gather data related to its knowledge, the storage system and dissemination applied in this archival agency. Data analysis is conducted by categorizing the agency knowledge according to Choo-Sense Making model and then it is applied in Confluence in accordance with the result of the data analysis from the Choo-Sense Making model. The result of this research, for Choo-Sense Making model, the knowledge in the archival agency is divided into 3 steps; Sense Making, Knowledge Creating and Decision Making. Sense Making contains knowledge coming from the outside of the agency that has forum as discussion media, chatting. Knowledge Creating contains knowledge that owned by the archival agency that has been documented and changed in the form of softfile then uploaded into space to ease the storage and the knowledge dissemination. Decision Making is about agency schedules and evaluation toward the activity in this archival agency. The result of Choo-Sense Making Model is input into Confluence, get space result that ease to save the knowledge in the form of application file, softfile, and ease to search and disseminate the owned knowledge. The application of Choo-Sense Making eases the storage system, dissemination, and communication. It also reduces the risk of losing knowledge owned by the archival agency.</em></p><p><em> </em></p><p><strong>Keywords</strong>: <em>Knowledge Management, Model Choo-Sense Making, Confluence, Library and Archive</em></p>

2021 ◽  
Vol 8 (1) ◽  
pp. 15
Author(s):  
Eko Nur Hermansyah ◽  
Danny Manongga ◽  
Ade Iriani

<p align="center"><strong>Abstrak</strong></p><p>Intansi Kearsipan memiliki berbagai pengetahuan yang digunakan untuk pengelolaan arsip yang dimilikinya, <em>knowledge management</em> digunakan untuk mengumpulkan, mengelola, dan menyebarluaskan pengetahuan yang dimiliki, sehingga pengetahuan yang dimiliki oleh instansi kearsipan dapat digunakan untuk kemajuan intansi dan tidak hilang. Penelitian ini dilakukan di Dinas Perpustakaan dan Kearsipan Kota Salatiga. Pengumpulan data dilakukan dengan wawancara petugas kearsipan untuk mengumpulkan data tentang pengetahuan yang dimiliki dan cara penyimpanan serta penyebarluasan yang diterapkan di intansi kearsipan. Analisis data dilakukan dengan mengelompokkan pengetahuan yang dimiliki oleh intansi kearsipan sesuai dengan model <em>Choo-Sense Making</em>, untuk kemudian diterapkan di <em>Confluence</em> sesuai dengan hasil dari pengolahan data dengan model <em>Choo-Sense Making</em>. Hasil dari penelitian ini untuk model <em>Choo-Sense Making</em> pengetahuan di intansi kearsipan dibagi atas 3 tahap yaitu <em>Sense Making</em> yang berisi tentang pengetahuan yang berasal dari luar intansi dibuatkan wadah sebagai media diskusi, <em>chatting,</em> <em>Knowledge Creating</em> berisi tentang pengetahuan-pengetahuan yang dimiliki intansi kearsipan yang telah di dokumentasikan diubah dalam betuk <em>softfile</em> kemudian diunggah kedalam <em>space</em> untuk memudahkan penyimpanan serta penyebarluasan pengetahuan yang dimiliki, dan <em>Decision Making</em> yang berisi tentang jadwal-jadwal intansi dan evaluasi yang dilakukan intansi kearsipan. Hasil dari model <em>Choo-Sense Making</em> dimasukan ke <em>Confluence</em>, memperoleh hasil <em>space</em> yang dapat memudahkan menyimpan pengetahuan yang dimiliki berupa file aplikasi, <em>softfile</em>, serta memudahkan dalam pencarian kembali dan penyerluasan pengetahuan yang dimiliki. Penerapan <em>Choo-Sense Making</em> selain untuk mempermudah penyimpanan dan penyerbaluasan serta komunikasi, dapat mengurangi resiko kehilangan pengetahuan yang dimiliki oleh intansi kearsipan.<strong> </strong></p><p><strong>Kata kunci<em>: </em></strong><em>Knowledge Management, Model Choo-Sense Making, Confluence</em>, Perpustakaan dan Arsip</p><p align="center"><em>Abstract</em></p><p><em>Archival Agency has several knowledge that are used to manage the owned archive, knowledge management is used to collect, manage and disseminate the owned knowledge so that the knowledge that the archival agency has can be used for the agency progress and it will not missing. The research is conducted in Dinas Perpustakaan dan Kearsipan Kota Salatiga. Data collecting is conducted by interviewing the archival officer to gather data related to its knowledge, the storage system and dissemination applied in this archival agency. Data analysis is conducted by categorizing the agency knowledge according to Choo-Sense Making model and then it is applied in Confluence in accordance with the result of the data analysis from the Choo-Sense Making model. The result of this research, for Choo-Sense Making model, the knowledge in the archival agency is divided into 3 steps; Sense Making, Knowledge Creating and Decision Making. Sense Making contains knowledge coming from the outside of the agency that has forum as discussion media, chatting. Knowledge Creating contains knowledge that owned by the archival agency that has been documented and changed in the form of softfile then uploaded into space to ease the storage and the knowledge dissemination. Decision Making is about agency schedules and evaluation toward the activity in this archival agency. The result of Choo-Sense Making Model is input into Confluence, get space result that ease to save the knowledge in the form of application file, softfile, and ease to search and disseminate the owned knowledge. The application of Choo-Sense Making eases the storage system, dissemination, and communication. It also reduces the risk of losing knowledge owned by the archival agency.</em></p><p><em> </em></p><p><strong>Keywords</strong>: <em>Knowledge Management, Model Choo-Sense Making, Confluence, Library and Archive</em></p>


2018 ◽  
Vol 5 (2) ◽  
pp. 1-30
Author(s):  
Andi Wijaya Putra ◽  
Mulyanto Mulyanto ◽  
Risnal Diansyah

Perusahaan yang sukses untuk mencapai tujuannya secara optimal adalah perusahaan yang mampu merumuskan strategi, dan mengimplementasikan strategi secara efektif dan efisien. Hal ini dapat diterapkan dengan knowledge management model menggunakan metode Fuzzy Screening System untuk menentukan kuadran kondisi perusahaan, Fuzzy Screening System adalah salah satu metode multicriteria decision making (MCDM) yang menyatukan informasi yang diberikan oleh berbagai ahli dari menejemen tingkat atas dan menengah, dengan studi kasus PT. Jakarta Teknologi Utama aplikasi yang dibuat ini diharapkan dapat mengetahui sampai mana pencapaian kinerja perusahaan. Aplikasi dibangun berbasis web dengan menggunakan bahasa pemrogram PHP dan database my SQL Server, pengguna dari aplikasi ini adalah admin yang berperan mengelola data utama, pimpinan yang berperan melihat proses akhir dan laporan dan karyawan yang berperan mengisi quisioner. Dari hasil pengujian dapat disimpulkan bahwa metode Fuzzy Screening System dapat memberikan hasil berupa kuadran kondisi perusahaan dalam bentuk mapping.


2009 ◽  
Vol 8 (3) ◽  
pp. 197-211 ◽  
Author(s):  
Aba-Sah Dadzie ◽  
Vitaveska Lanfranchi ◽  
Daniela Petrelli

The analysis of data using a visual tool is rarely a task done in isolation, it tends to be part of a wider goal: that of making sense of the current situation, often to support decision-making. A user-centred approach is needed in order to properly design interaction that supports sense-making incorporating visual data analysis. This paper reports the experience gained in X-Media, a project that aims to support knowledge management (KM), sharing and reuse across different media in large enterprises. We report the user-centred design approach adopted and the design phases that led to the first prototype. A user evaluation was conducted to assess the design and how different levels of data, information and knowledge were mapped using alternative visual tools. The results show that a clear separation of the visual data analysis from other sense-making sub-tasks helps users in focussing their attention. Users particularly appreciated the data analysis across different media and formats, as well as the support for contextualising information within the broader perspective of KM. Further work is needed to develop more fully intuitive visualisations that exploit the richer information in multimedia documents and make the multiple connections between data more easily accessible.


Conflict ◽  
2019 ◽  
pp. 53-75
Author(s):  
Neil D. Shortland ◽  
Laurence J. Alison ◽  
Joseph M. Moran

This chapter explores the process of sense-making in combat. It presents cases of sense-making from those involved in offensive operations in the field as well as those involved in more remote operations whose sense-making is solely reliant upon small snippets of the scene that they can observe through the technology they have deployed at that time. The chapter discusses the limitations (cognitive and situational) in trying to gain an accurate picture of what is happening on the ground and the implications of this for the ensuing stages of the decision-making process. Special attention is paid to the role of cultural differences and the difficulties in making sense and “storytelling” in environments that have little in common with one’s own. Finally, with reference to a real case of mission planning in Afghanistan, the fine balance between acting too soon and becoming inert is discussed.


2020 ◽  
Vol 5 (1) ◽  
pp. 69
Author(s):  
Jonner Simarmata

Organizational performance  is an important issue for researchers and managers including managers in Higher Education Institutions (HEIs) for it can be the indicator of success. It also provides accurate information for startegic decision making.Many factors influence organizational performance. One of them is knowledge management (KM) practices. Theoretically and empirically, effective KM practices improve performance. Many researches have been conducted in regard of HEI performance. Unfortunately, in the context of private HEIs in the City of Jambi, the literature and empirical evidences are very rare. This current research aims to fill the gap. It also aims to examine its link with organizational performance. Data was collected through the distribution of questionnaire to randomly-selected lecturers and employees. Further, the data was analyzed with regression analysis by applying SPSS V.26. The result shows that knowledge dissemination and knowledge storage system partially and simultenously affect organizational performance. Interestingly, the constanta value in the regression model is negative. This implies that performance might be decreased if KM is not implemented. Then, it is suggested to private HEI operators especially those in the City of Jambi implement KM.


ZOOTEC ◽  
2019 ◽  
Vol 39 (2) ◽  
pp. 352
Author(s):  
Keine A Manopo ◽  
S J.K Umboh ◽  
P O.V Waleleng ◽  
F H Elly

FACTORS AFFECTING THE ALLOCATION OF CAPITAL ASSISTANCE IN HOUSEHOLD CATTLE BREEDER IN DISTRICT WEST TOMPASO. The purpose of this research is to analyze the factors that are influencing farmer households’ decision making in allocating financial assistance for livestock production in West Tompaso sub-district, Minahasa regency. This research applies surveying method among 30 household samples. Data collecting was done in October until November 2018. Data analysis is proceeded by using simultaneous equation analysis. The result of this research shows that financial assistance allocation for cattle business is 39,76% and the rest 60,24% is the allocation for any farming businesses other than cattle business. The financial assistance for cattle business is significantly influenced by the amount of financial assistance given, feeder cattle value and the allocation of financial assistance for farming businesses other than cattle business. Meanwhile, the allocation of financial assistance for farming businesses other than cattle business is significantly influenced by the amount of financial assistance received and the allocation of the financial assistance for cattle business.Keywords: Allocation, Financial Assistance, Beef Cattle.


1978 ◽  
Vol 17 (01) ◽  
pp. 28-35
Author(s):  
F. T. De Dombal

This paper discusses medical diagnosis from the clinicians point of view. The aim of the paper is to identify areas where computer science and information science may be of help to the practising clinician. Collection of data, analysis, and decision-making are discussed in turn. Finally, some specific recommendations are made for further joint research on the basis of experience around the world to date.


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