scholarly journals ANALISA UNJUK KERJA MESIN STEMPEL FLASH MADE IN TIONGKOK MEREK FLAZ TERHADAP MESIN STEMPEL FLASH MADE IN INDONESIA MEREK MD

2020 ◽  
Vol 2 (1) ◽  
pp. 13-18
Author(s):  
Slamet Raharjo ◽  
Massus Subekti ◽  
Imam Arif Raharjo
Keyword(s):  
Grounded Theory ◽  
Electricity Consumption ◽  
Operation Time ◽  
Electrical Energy ◽  
Quality Parameter ◽  
Theory Approach ◽  
Machine Performance ◽  
Work Method ◽  
Better Than ◽  
Made In

This research aimed to find out the work method of flash stamp machine made in Tiongkok brand Flaz and flash stamp machine made in Indonesia brand MD observed from each machine performance including colour stamp quality resulted, duration in its operation, as well as power and electricity consumption. The research method adopted is qualitative method with grounded theory approach. This research conducted in Enterprise of Flash Stamp Machine made in Indonesia brand MD on Jl. Lembang Baru I West Sudimara, Ciledug, Tangerang, Banten. The result drawn from work method research of both flash stamp machine are: First,   the stamp quality resulted by flash stamp machine brand MD was better than flash stamp machine brand MD. Second, the operation time of flash stamp machine brand MD was 4 second faster, that is 3 second, while flash sta mp machine brand Flaz was 4 second. Third, the electricity power consumption of flash stamp machine brand Flaz was smaller that is 136,62 watt, while brand Flaz was 392,34 watt. Fourth, the electrical energy consumption of flash stamp machine Flaz was smaller that is 888,39 Joule, while flash stamp machine brand MD was 1709,06. The conclusion drawn from work method research of flash stamp machine made in Tiongkok brand Flaz toward flash stamp machine made in Indonesia brand MD measured from stamp output quality parameter and operation time speed, so flash stamp machine made in Indonesia brand MD is better than flash stamp machine made in Tiongkok brand Flaz. Abstrak Penelitian ini bertujuan untuk mengetahui unjuk kerja mesin stempel flash made in Tiongkok merek Flaz terhadap mesin stempel flash made in Indonesia merek MD dilihat dari performa masing-masing mesin meliputi kualitas cap stempel warna yang dihasilkannya, lama waktu pengoperasiannya, pemakaian daya serta konsumsi energi listriknya. Metode penelitian yang di gunakan adalah metode kualitatif dengan pendekatan penelitian grounded theory. Penelitian ini dilakukan di Perusahaan Pembuatan Mesin Stempel Flash made In Indonesia merek MD di Jl. Lembang Baru I Kelurahan Sudimara Barat, Ciledug, Tangerang, Banten. Hasil yang diperoleh dari penelitian unjuk kerja kedua mesin stempel flash ini adalah :  Pertama, kualitas cap stempel yang dihasilkan mesin stempel flash merek MD lebih bagus dibandingkan mesin stempel flash merek Flaz. Kedua, lama waktu operasinya 4 detik lebih cepat mesin stempel flash merek MD yaitu selama 3 detik dan 4 detik untuk mesin stempel flash merek Flaz. Ketiga, daya listrik yang dibutuhkan lebih kecil me sin stempel flash merek Flaz yaitu sebesar 136,62 watt dan 392,34 Watt untuk merek Flaz. Keempat, konsumsi energi listrik yang dibutuhkan lebih kecil mesin stempel merek Flaz yaitu 888,39 Joule dan 1709,06 Joule untuk mesin stempel flash merek MD. Kesimpulan yang diperoleh dari penelitian unjuk kerja mesin stempel flash made in Tiongkok merek Flaz terhadap mesin stempel flash made in Indonesia merek MD diukur dari parameter kualitas hasil cap dan kecepatan waktu operasi maka mesin stempel flash made in Indonesia merek MD lebih bagus dari pada mesin stempel flash made in Tiongkok merek Flaz.

The Analysis of Nurses’ Positive Deviance Behaviours as a Measure in Preventing the Transmission of Healthcare-Associated Infections (HAIs) at M. Djamil Hospital, Padang, West Sumatera

2018 ◽  
Vol 1 (1) ◽  
pp. 3-7
Author(s):  
Esthika Ariany Maisa ◽  
Yulastri Arif ◽  
Wawan Wahyudi
Keyword(s):  
Grounded Theory ◽  
Wound Care ◽  
Positive Deviance ◽  
Care Practice ◽  
Theory Approach ◽  
Nursing Managers ◽  
Theoretical Sampling ◽  
Develop Theory ◽  
Healthcare Associated ◽  
Grounded Theory Approach

Purpose: To explore the nurses’ positive deviance behaviors as an effort to provide solutions in preventing and controlling infections in the hospital. Method: This is a qualitative research using grounded theory approach. Thirteen nurses from Dr.M.Djamil hospital were selected based on theoretical sampling in order to develop theory as it appears. Nurses were interviewed from June to September 2014. Interviews were thematically analyzed using techniques of grounded theory to then generate a theory from themes formed. Findings: The modes of positive deviance behavior identified were practicing hand hygiene beyond the standards (bringing handsanitizer from home), applying nursing art in wound care practice, placing patients with MRSA infections at the corner side, giving a red mark on a MRSA patient’s bed for easy identification by nurses, changing clothes and shoes in hospital, reducing hooks on the wall, and cleaning the ward on scheduled days. Conclusion: The study shows that nurses have a number of positive deviance behaviors to prevent infection transmission in the wards. It is sugested that the hospital management and nursing managers adopt some of the uncommon solution highlighted by the nurses to solve the HAIs problems in the hospital.

Analysis of Entrepreneurship Education Model of Technology-Driven Agri-Food Industry Applying Line-by-line Coding Method of Grounded Theory

2019 ◽  
Vol 118 (1) ◽  
pp. 1-7
Author(s):  
Byung-Moon Seol ◽  
Young-Lag KIM
Keyword(s):  
Grounded Theory ◽  
Food Industry ◽  
Entrepreneurship Education ◽  
Educational Institutions ◽  
Theory Approach ◽  
Contextual Knowledge ◽  
Coding Method ◽  
Open Coding ◽  
Education Model ◽  
Information Competency

Background/Objectives: This paper investigated and analyzed the phenomena in implementing the curriculum and characteristics of an entrepreneurship education model existing technology-driven agri-food industry. Methods/Statistical analysis: The line-by-line coding method of grounded theory approach by Strauss & Corbin was applied for this study and the collected data was analyzed with the NVIVO 12 program from QSR which is a tool for analyzing quality comparative analysis for better efficiency in open coding. Findings: The contents and the design of education are drawn from founders who are participants of the education, education supply organizations and lecturers and traits in an education model were derived by analyzing the structural relationship between them. This study reveals that entrepreneurial education with contextual knowledge in the agri-food industry strengthens achievements in boosting up competitiveness for industry, local areas, sales and enhancing the field response-ability. Yet, unbalanced educational contents can be caused by a biased education devoted to technologies only for production and cultivation and a lack of diversity and professionalism. Phenomena in implementing curriculum and characteristics of an education model also reveal a lack of support for educational institutions and trainees and unsatisfactory of overall administration system due to an insufficient post management system. In this paper, an essential education contents needed by the agri-food sector entrepreneur are related to information competency enhancement.

Analysis of Entrepreneurship Education Model of Technology-Driven Agri-Food Industry Applying Line-by-line Coding Method of Grounded Theory

2019 ◽  
Vol 118 (8) ◽  
pp. 266-274
Author(s):  
Byung- MoonSeol ◽  
Young-Lag KIM
Keyword(s):  
Grounded Theory ◽  
Comparative Analysis ◽  
Statistical Analysis ◽  
Food Industry ◽  
Entrepreneurship Education ◽  
Theory Approach ◽  
Coding Method ◽  
Open Coding ◽  
Education Model ◽  
Grounded Theory Approach

Background/Objectives: This paper investigated and analyzed the phenomena in implementing the curriculum and characteristics of an entrepreneurship education model existing technology-driven agri-food industry. Methods/Statistical analysis: The line-by-line coding method of grounded theory approach by Strauss & Corbin was applied for this study and the collected data was analyzed with the NVIVO 12 program from QSR which is a tool for analyzing quality comparative analysis for better efficiency in open coding.

Study of the operation of an artificial neural network that works in the electric network in order to prevent emergency conditions.

2020 ◽  
Vol 14 (1) ◽  
pp. 48-54
Author(s):  
D. Ostrenko ◽  
Keyword(s):  
Neural Networks ◽  
Learning Algorithm ◽  
Electricity Consumption ◽  
Electrical Energy ◽  
Energy System ◽  
Electrical Networks ◽  
Electric Networks ◽  
Electric Network ◽  
Time Dynamics ◽  
Emergency Situations

Emergency modes in electrical networks, arising for various reasons, lead to a break in the transmission of electrical energy on the way from the generating facility to the consumer. In most cases, such time breaks are unacceptable (the degree depends on the class of the consumer). Therefore, an effective solution is to both deal with the consequences, use emergency input of the reserve, and prevent these emergency situations by predicting events in the electric network. After analyzing the source [1], it was concluded that there are several methods for performing the forecast of emergency situations in electric networks. It can be: technical analysis, operational data processing (or online analytical processing), nonlinear regression methods. However, it is neural networks that have received the greatest application for solving these tasks. In this paper, we analyze existing neural networks used to predict processes in electrical systems, analyze the learning algorithm, and propose a new method for using neural networks to predict in electrical networks. Prognostication in electrical engineering plays a key role in shaping the balance of electricity in the grid, influencing the choice of mode parameters and estimated electrical loads. The balance of generation of electricity is the basis of technological stability of the energy system, its violation affects the quality of electricity (there are frequency and voltage jumps in the network), which reduces the efficiency of the equipment. Also, the correct forecast allows to ensure the optimal load distribution between the objects of the grid. According to the experience of [2], different methods are usually used for forecasting electricity consumption and building customer profiles, usually based on the analysis of the time dynamics of electricity consumption and its factors, the identification of statistical relationships between features and the construction of models.

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