Computer Progamming

This study aims to identify the impact of online learning on interest in learning at SMPN 1 Satap Ladongi. This study uses a qualitative method in which data collection techniques use documentation and observation techniques with 17 research subjects consisting of the principal, 6 educators. and 10 students. based on the results of observations and those conducted, the results of the study can be concluded that online learning has an effect on student interest in learning because students become easily bored when online learning takes place. Less interesting learning is not like learning in class. This is because students do not really understand how to use technology they are still clueless (stuttering technology) so that students are not too interested in online learning besides that, the available network connection is not too adequate for online learning and not all students have facilities in the form of cellphones / androids being the second obstacle. after the network becomes an obstacle, online learning cannot be

Sebuah program tidak akan memberikan hasil yang maksimal jika kita tidak dapat mengetahui hasil atau keluaran dari program yang dibuat, sebaliknya program tidak akan maksimal pula bila tidak ada instruksi untuk meminta masukan. Oleh karena itu sebuah program sudah semestinya memiliki instruksi masukan baik melalui pengetikan keyboard atau dari file dan menampilkan keluaran atau hasil dari proses program ke layar monitor, dan atau ke printer, ataupun penulisan ke file.

SimSys is a new multi-process simulation environment for
the UNIX workstation and the X Window System. The different
parts of the simulation -- such as run control. parameter
entry. equation solution. graphic and numeric output. etc. -run
as separate processes linked by a communications process.
A minimum set of processes is required for a simulation.
but additional processes can be started and stopped interactively
while SimSys is running. The user interface is centered
around a Research Notelx>ok that automatically documents
the manipulation and running of a group of models with provision
for user annotation. Previous runs and parameter sets
can be recalled through an index for viewing and comparison.
The multi-process design makes the package very flexible
and easily adapted to special requirements. The design also
permits the SimSys processes to reside on different computers
in a network. for example combining graphics and control
on a workstation with numerical computation on a supercomputer.

This paper produces a DNA Query language for querying DNA database in an expressive and concise manner.One of the objectives of this paper was to demonstrate how such a research will be beneficial to biochemistry researchers who are unfamiliar with SQL coding. The paper introduces a new layer between the user application which serves as the interface and the database layer. This layer is then responsible of translating a familiar biochemistry language into a SQL code understandable by the database application. By doing so, the abstraction layer is what is needed to alleviate the use of DNA database by any researcher. Also, a description of common tasks and how they can be translated is given in this paper. Therefore, the novel approach consists of keeping the standard SQL language at the database layer, and yet supplies the same advantages.

Prezentowany artykuł był publikowany w 1989 roku w ambitnym czasopiśmie literackim dla dzieci w wieku o 7 do 10 lat nazwanym "Króliczek" wydawanym przez Drukarnię Narodową w Krakowie. Autor w tym czasopiśmie publikował artykuły popularyzujące wiedzę naukową i techniczną. Prezentowany tu jest ostatnim z serii czterech artykułów namawiających dzieci do tego, żeby zainteresowały się nie tylko grami komputerowymi, ale także programowaniem komputera za pomocą języka LOGO. Warto zajrzeć także do tych wcześniejszych artykułów – także udostępnionych w tym serwisie.

The general-purpose simulation package SCoP (Simulation Control Program) was first introduced in 1984 as a hierarchy of procedures to create an interactive simul:ltion program for the IBM Personal Computer from user-written C subroutines describing the desired model equations. Since 1984. SCoP has grown substantiaUy in capabilities and has been ported to larger computers using the UNIX and VMS operating systems. This paper describe!s version 4. designed for person:1l computers only. Since the introduction of SCoP. a new high-level input language has been added to greatly simplify the t.1Sk of spec ifying the model. Algebraic. differential. and even chemical kinetic equations can be entered directly in natural form. The SCoP language is hierurchical so that a large and complex model can be! built up by linking several smaller models tested independently. The user has flexible control over the calculations at run time. including stopping and restarting and changing the effective independent variable. Several options are provided for evaluating the model and comparing its results with experimen~ data. including the calculation of sensitivities and model identifiability. and automatic parameter fitting with Statistics. Version 4 has a new user interface utilizing windows and pull-down menus. li' o"'ffiODL'CTfON SCoP (Simulation Control Progrum) was originally written to produce ir:teractive simulation programs for the IBM Personal computer (Kootsey and Holt 1984; Kootsey et alI986). Biomedical simulations required frequent construction of new models and modification of existing models. The creation of custom FORTRAN programs for each new model was tOO time consuming and existing continuous simulation languages either were not interactive or were not available for small computers. To build a simulation program with SCo? the user had to create C subroutines containing the model equations. initial conditions. and a call to the appropriate numerical solver. These subroutines were then compiled and linked to the SCo? rou-Proceedings of t he SCS M ult i conference on M ode l i ng on Mi cros and W orks t ation s, 23-25 January , 1991, Anaheim, Ca l iforn ia. Ed. by. Thomas A. Rathburn , Kent St ate Universi t y 21 tines and solvers from the accompanying numerical library to produce an executable program. Compilation was chosen for the model equations (rather than interpretation) to obtain maximum compuution speed as biological models can be very complex. The original SCo? simulation program was menu-driven and displayed the results of the calculations in graphic or tabular form as they were calculated. An automatic:1lly-created definitions file made it possible for the user to create multi-character variable names for each model that were then used to write the model equations and to select variables or parameters at run time.