Lecture Schedule Research Articles

A review on various methods of collaborative computing

Currently, mosques in Malaysia distribute their lecture schedules either on paper-based form or by uploading the schedule on their social media platform. This has some disadvantages such as paper schedules are susceptible to damages and information on social media platform is often not updated to current changes. Collaborative Computing is a system that enable individuals to work together remotely by making use of the reach ability of the internet. In order to utilise the Internet’s obvious advantages over paper-based and rapid information distribution and asynchronous communication, a review is conducted to study the available methods of collaborative computing, further analyse current research papers. Result shows that Centralized Computing method is the most suitable method for developing collaborative mobile application for Islamic Lectures schedule.

Lecture Scheduling System Using Welch Powell Graph Coloring Algorithm in Informatics Engineering Departement of Universitas Malikussaleh

Scheduling lectures is a routine work in the academic system in higher education every time to facing a new semester. In the implementation, often the schedule that has been issued has not been fixed so it requires to rescheduling. For this reason, a new lecture scheduling system is needed using the Welch Powell Graph Coloring Algorithm. This study was done in the Informatics Engineering Departement of Universitas Malikussaleh using the subjects schedule during 2013, 2014 and 2015. Based on the results of this study it can be concluded that the Welch Powell Graph Coloring Algorithm can solve properly the problem of scheduling lectures, in this case there are no clashes between scheduled components.

Using Show-and-Tell Rounds to Enhance Camaraderie Among Residents.

Using Show-and-Tell Rounds to Enhance Camaraderie Among Residents.

Lecture Scheduling Automation Using Genetic Algorithm

This paper aims produce an academic scheduling system using Genetic Algorithm (GA) to solve the academic schedule. Factors to consider in academic scheduling are the lecture to be held, the available room, the lecturers and the time of the lecturer, the suitability of the credits with the time of the lecture, and perhaps also the time of Friday prayers, and so forth. Genetic Algorithms can provide the best solution for some solutions in dealing with scheduling problems. Based on the test results, the resulting system can automate the scheduling of lectures properly. Determination of parameter values in Genetic Algorithm also gives effect in producing the solution of lecture schedule.

Perbaikan Berkelanjutan Pada Sistem Penjadwalan Perkuliahan Dengan Penjadwalan Berbasis Aplikasi dan Website

Lecture scheduling systems that made manually need longer time and should be made time after time (trial and error) because there are many constrains should be considered like: number of classes, number of lecturers, number of courses and number of students. Delay in publishing class schedule could cause disruption in the lecture process. As an effort to continuous improvement, designing lecture schedule system based on application or website which easy to use by user was very needed. This research aims to design lecture scheduling information systems based on website and android in Industrial Engineering Department, Islamic State University Sultan Syarif Kasim Riau. This research also measures system success rate by using User Acceptance Testing (UAT). The fnding reveals based on UAT analysis to the information system of lecture scheduling designed, as an average, the success rate was 85.1% from 100% success expected.

SCHEDULING USING GENETIC ALGORITHM AND ROULETTE WHEEL SELECTION METHOD CONSIDERING LECTURER TIME

Scheduling lectures is not something easy, considering many factors that must be considered. The factors that must be considered are the courses that will be held, the space available, the lecturers, the suitability of the credits with the duration of courses, the availability of lecturers' time, and so on. One algorithm in the field of computer science that can be used in lecture scheduling automation is Genetic Algorithms. Genetic Algorithms can provide the best solution from several solutions in handling scheduling problems and the selksi method used is roulette wheel. This study produces a scheduling system that can work automatically or independently which can produce optimal lecture schedules by applying Genetic Algorithms. Based on the results of testing, the resulting system can schedule lectures correctly and consider the time of lecturers. In this study, the roulette wheel selection method was more effective in producing the best individuals than the rank selection method.

Penjadwalan Perkuliahan dengan Metode Metaheuristic Ant Colony Optimization Studi Kasus Politeknik Negeri Bali

Lecture scheduling problems are a very complex problem, where the core of the scheduling is how to schedule several components consisting of students, lecturers, space, time, and subject matter with due regard to certain constraints and constraints. The goal to be achieved is to apply the Ant Colony Optimization (ACO) Metaheuristic method to optimize the lecture scheduling system. Every step taken by ACO uses an algorithm adapted from ant behavior to solve combinatorial problems. This system is created using Microsoft Visual Basic programming by entering several parameters, namely Lecturer, Course, Room, and several variables from each parameter which are then processed to produce lecture scheduling. The results obtained from the ACO implementation to solve college scheduling problems are seen from the number of constrained constraints and the length of time required from each iteration in each method to get a class schedule so that they get a schedule with a 82 percent truth level which is a comparison of constraint violations to the total number of timeslot used for scheduling.

Penerapan Metode Pewarnaan Graf Untuk Penjadwalan Mata Kuliah

Scheduling courses is a routine agenda every semester carried out by the study program, in the manufacturing process it often experiences difficulties such as frequent clashes between courses, lecturers and other times in one period of the lecture schedule. The graph coloring method used is a simple row coloring algorithm on the side. This algorithm can be used in scheduling so that there is no overlap between courses, lecturers, room and time. The system design tool used is a flowchart. The results of this study are in the form of applications that are made automatically without any conflicting schedules. Users can enter the initial scheduling data according to their needs, then the application will follow scheduling using a simple line coloring algorithm on the side, and the output results will display the scheduling results. testing using black box, this test will test in detail the plus button and process button, the expected result is a success

Teaching Pedagogies of Entrepreneurship Education and Entrepreneurial Intention of Students of Higher Education in Nigeria: An Evaluation

Entrepreneurship education was introduced in Nigerian higher education institutions as a compulsory course for students regardless of area of specialization in 2006/2007 academic session. This paper investigates the impact of selected teaching pedagogies (Normal lecture, Case study, Meeting entrepreneurs, Expert lecture, Incubation facility, Business plan development, Industry tour, Group discussion, Entrepreneurial stories, and Live project) used in delivering these courses on student’s entrepreneurial intention. Data were collected during scheduled lecture period with the aid of questionnaire on 405 students of universities, colleges of education and polytechnics in the three regions of Northern Nigeria (The North-East, North-Central, and North-West). Proportionate stratified random sampling technique was applied to select the participants. Descriptive along with inferential statistics were used for the analysis. Ordinal logistic regression was used to estimate the impact of each of these courses on students’ entrepreneurial intention. Findings indicate that four out of the ten teaching pedagogies namely; Normal lecture, Case study, Expert lecture, and Incubation facility lead a positive and significant impact on students’ entrepreneurial intentions. Therefore, higher education institutions in Nigeria need to set specific entrepreneurship education goals and come up with an effective blend of both conventional and innovative teaching pedagogies, through which students’ mental and practical capabilities can be improved towards successful entrepreneurship. The study also recommends that the teaching pedagogies applied in entrepreneurship education area must be in alignment with the career interests of the students and with the objectives for which the course is offered.

MANAJEMEN SUMBER DAYA MANUSIA PADA IKATAN MUBALLIGH SULAWESI TENGGARA (IMSULTRA)

This study aims to analyze the implementation of the da’wah management conducted by IMSULTRA. This research is a descriptive qualitative type conducted in Southeast Sulawesi. The results of this study indicate that the management of the da’wah implemented by the DPW IMSULTRA has not been done comprehensively. This can be seen from the process of planning, recruiting, organizing, monitoring, and evaluating the muballigh which have not done in a comprehensive and systematic way. The alternative solution that can be done by DPW IMSULTRA to overcome the obstacles faced or at least minimize the negative implications caused is to recruit several personnel (staff) whose duty is to carry out various technical matters, form a more specific and comprehensive work program every year, compile analysis the needs of the muballigh, selective recruitment, compile job descriptions for each clear element to improve the lecture scheduling system, and implement a better muballigh monitoring and evaluation system.

RANCANG BANGUN “TELEGRAM BOT API” UNTUK LAYANAN SISTEM INFORMASI AKADEMIK DI UNWAHA MENGGUNAKAN METODE LONG POLLING

Today, the information system needs are not limited to the importance of the information, but the ease and speed of getting the information is a priority that must be fulfilled. This makes many instant messaging applications appear. One of them is a telegram that has features the BOT telegram API, which is a special protocol for connecting information from a system to a user through Instant Messaging. 
 In this research, the researcher used BOT features of the instant messaging application for Academic Information system at KH. A Wahab Hasbullah University includes data KHS, KRS, information dissemination, transcripts of the score, lecture schedules and others. This research used the Long Polling method. This method is used because it can be implemented on a local PC server that is owned by KH. A Wahab Hasbullah University. This telegram BOT has a better speed compared to conventional web versions, this speed testing is done in two steps. First, Use of a BOT of this Telegram has better speeds compared to conventional web version, this speed test is carried out by two steps, 1) the result of BOT telegram using 512 kb Bandwidth with average is 2.98 seconds, conventional web is 5.39 seconds; 2) the result of BOT Telegram using 1 MB bandwidth with average is 2.44 seconds, conventional web is 3.15 seconds.

SISTEM INFORMASI MOBILE ASSISTANT MAHASISWA JURUSAN SISTEM INFORMASI FAKULTAS KOMPUTER UNIVERSITAS POTENSI UTAMA BERBASIS ANDROID

Sudah menjadi suatu kebiasaan jika mahasiswa masih sering tidak tepat waktu dalam menghadiri kegiatan perkuliahan, selain itu mahasiswa juga sering lupa untuk mengerjakan tugas atau mempersiapkan diri untuk menghadapi ujian. Hal ini berdampak pada pencapaian nilai yang diperoleh tidak menjadi maksimal. Dalam penelitian ini, peneliti membangun sebuah Sistem Informasi mobile pada smartphone berbasis Android sebagai pengingat bagi mahasiswa Jurusan Sistem Informasi Fakultas Komputer Universitas Potensi Utama. Aplikasi ini terdiri dari dua bagian yaitu berbasis Web untuk admin dan berbasis Android untuk pengguna yang terhubung menggunakan Web Service. Aplikasi ini dibuat agar dapat menunjang dan memaksimalkan kegiatan perkuliahan. Aplikasi ini adalah sebagai alarm pengingat mahasiswa agar mereka selalu ingat akan jadwal perkuliahan, jadwal pengumpulan tugas, dan jadwal pelaksaan ujian. Sistem Informasi ini juga dilakukan pengujian agar mendapatkan hasil yang diinginkan dengan menggunakan metode pengujian Black-Box Equivalence Partitioning. Hasil dari pengujian Black-Box Equivalence Partitioning menunjukkan sistem dapat berjalan sesuai dengan yang diharapkan.

Optimization of Genetic Algorithm for Implementation Designing and Modeling in Academic Scheduling

This research was investigated using the Genetic Algebra Method for scheduling lectures and practicums. Genetic algorithms are used to solve problems that are modeled according to evolutionary principles in biological sciences. The application of the Genetic Algebraic Method for Scheduling Lectures and Practices is expected to be further developed into a computerized system that can replace the manual lecture scheduling and practicum methods so that it can produce a more accurate schedule with existing rules in a shorter time. The results of the use of the genetic algorithm method are obtained from the results of the data which are fixed scheduling lecture data and can be recommended for lectures according to the lecture schedule obtained from the results of generating genetic algorithms.

Penjadwalan Perkuliahan Dengan Metode Vertex Graph Coloring Dan Simulated Annealing

<p><em>In college, lecture scheduling is very important in lecturing process, because the activities of lecturers and students depend on lecture schedule. To solve the problem, use Vertex GraphColoring and Simulated Annealing. In Vertex Graph Coloring, look for neighboring and neighboring vertices. While on Simulated Annealing, look for space and exchange positions randomly. The merger of Vertex Graph Coloring and Simulated Annealing aims to create optimum lecture schedule by looking at hard constraint and soft constraint. Testing is done at Faculty of Pharmacy University of North Sumatra, by making schedule from manual to computerized, so it is expected to make the schedule optimally and able to avoid hardconstaint and soft constraint.</em></p>

MINAT BELAJAR MAHASISWA PGSD PADA MATA KULIAH KONSEP DASAR IPA (Penelitian Deskriptif Kualitatif di Prodi PGSD Universitas Muhammadiyah Tasikmalaya)

This study uses descriptive qualitative research with case study approach, according to Kumar (1999), a case study is an approach to examine social phenomena through the analysis of individual cases completely and accurately, as well as providing an analysis of intensive than many specific details that are often overlooked by Other research methods. Meanwhile, according to Pollit and Hungler (1999) interpret the case study as a research method that uses in-depth analysis, which is done carefully and completely to an individual, family, group, institution, or other social units. The results showed interest in learning PGSD students on the course the basic concepts of science is low, the study documentation on the midtest course the basic concepts of science and interviews explaining there are several factors that affect low interest student learning is the educational background of students, the ability of lecturers, weight and material science courses basic concepts, means of supporting lectures and lecture schedule.

Sistem Pejadwalan Kuliah Meggunakan Metode Algoritma Genetika pada Program Magister Fakultas Ekonomi dan Bisnis

As per the increase in students of the Masters Program, they will also increase the number of hours / lecture schedule. Willingness and readiness for lecturers make it difficult to determine the appropriate lecture schedule. In addition, the difficulty of making the lecture schedule is because there is still no automated system that can specifically schedule lectures. Limitations of available classrooms allow clash of schedules between classes and the complexity of scheduling courses is also experienced when 1 (one) course can be managed by 3 (three) lecturers (lecturer team). This causes a large number of errors in the scheduling process which results in collisions and delays in scheduling so that the learning and teaching process will be hampered if the scheduling process is still manual. This is important for an implementation to help the scheduling process in order to optimize collisions or collision schedules in the lecture process that occurs in the faculty. The results showed 93% of respondents from the aspects of the system, user aspects, and interaction aspects of designing and implementing a lecture scheduling system using genetic algorithms stated that it was very helpful and easy to apply as a tool to assist the process of optimizing lecture scheduling to minimize schedule clashes in lectures in the Masters Program.

Distinguishing a ‘hit’ from a ‘view’: Using the access durations of lecture recordings to tell whether learning might have happened

Audiovisual recordings of lectures are available to many students in all disciplines. The use of lecture recordings has been studied extensively, but it is still not clear how, or how much, they are actually used. Previous analysis of their use has been based on either survey data or computer logs of access. In the latter case, measurements of actual use have usually been based on counts of the number of times recordings have been accessed. This does not distinguish those that happen accidentally (‘hits’), from those that might permit learning (‘views’). This distinction is essential to the meaningful analysis of the log of the actual use of recorded lectures. Using the access logs of undergraduate science students, we show that the distribution of the durations of the access of recordings of scheduled lectures has two distinct components. The most rapid of these is complete within three minutes and we infer that it reflects the behaviour of students searching among recordings. This inference is based on a comparison of these distributions with those of (i) recordings made automatically during a non-teaching period and (ii) individual users. This is also consistent with the pattern of usage by students searching for a specific recording.

Implementation of hubs as a medium to broadcast academic notifications in a college

Through this study, we want to provide an alternative method to broadcast academic notification messages in a college using hubs as a transmitter. The academic notification provides information about the academic-related subject such as assessment, lecture schedule or reschedule, and information about the lecturer. The use of notification system on the smartphone so far it is very helpful. However, how effective is the current academic notification system, still doubts. The use of hubs as media to transmit can decrease the time and number of operators needed to broadcast the academic notification messages. So the use of hubs as transmitters can be an appropriate choice for admin of academic notification systems in a College.

Credit Transfer System (CTS) Design in Academic Information System of Diponegoro University

One of the information system built in Diponegoro University is Academic Information System. This system manages every process and outcome of academic activities. Academic information system is developed to meet the needs of process and academic data that is also always growing. One of growing academic process is the implementation of Credit Transfer System (CTS). Credit Transfer System is an academic process whereby every Diponegoro University student can attend lectures in subjects that are interested without being tied to courses and curriculum. The realization is that every student can take a course or KRS interest in any study program in Undip. With the implementation of the CTS, the Academic Information System should be developed by adding new features to adopt the system. The application of CTS in academic information systems is done by adding a group of menus to the academic information system, offering CTS courses, creating a CTS lecture schedule, looking at college schedules, viewing and printing present CTS lectures, creating UTS and UAS schedules, printing UTS and UAS att

PENERAPAN ALGORITMA GENETIK UNTUK OPTIMASI SISTEM INFORMASI PENJADWALAN KULIAH (STUDI KASUS PROGRAM STUDI SISTEM INFORMASI UNIVERSITAS KOMPUTER INDONESIA)

The college scheduling activity is a routine activity every semester that is very complicated and draining the mind. In the current system, the information system study program of Indonesian computer universities has used a lecture scheduling information system application for the college scheduling process. However, the application has a disadvantage, namely the scheduling process is still done by manually selecting space, days and hours, and has not implemented the optimization algorithm for the scheduling process, so the scheduling process still requires a long time and is not optimal. Given the importance of this scheduling process, it is necessary to do the optimization steps for scheduling lectures appropriately so that the process of scheduling lectures is faster and schedule conflicts can be minimized so that teaching and learning activities can run well. For this research, we intend to apply genetic algorithms to the scheduling process with the aim of optimizing the lecture scheduling process in the information systems study program. In this research method, the stages of the research will be described as the system development method, research location, and data collection techniques.     The results of this study are that there are no more conflicting schedules after 10 trials were marked with fitness with a value of 0. The conclusion of this research is that by applying genetic algorithms to the college scheduling application, the process of scheduling lectures can be done automatically until there is no schedule conflict and out of 10 experiments, the average time for lecturing schedule was 58.454 seconds (less than 1 minute) and the average was achieved in generation 1,2,3.  Keywords : genetic algorithms, lecture scheduling, chromosomes