Scheduling Information System Research Articles

Penerapan Artificial Intelligence (AI) Pada Sistem Informasi Optimasi Jadwal Kuliah Menggunakan Algoritma Genetika

Scheduling lectures is one important aspect to support the implementation of lectures. With the scheduling of lectures, lecture time can be arranged, so that the room can be used effectively. To arrange lecture scheduling, it is of course needed the right way so that arranging the lecture schedules becomes easier and faster. At the College of XXXX, lecture schedules is still done in the conventional way that is arranging the schedule manually using Microsoft Excel software so that it takes a long time in preparing the scheduling of lectures. To simplify and accelerate the process of preparing lecture schedules optimally, the Lecture Scheduling Information System is one of the right solutions. Genetic Algorithm is one way to make logical and systematic steps so that the Information System Scheduling lectures can provide solutions that are easy, faster and more optimal. The genetic algorithm is one of the advances in the field of information technology in the field of Artificial Intelligence (AI) that can solve optimization problems. So that the process of making a schedule using genetic algorithms prepares lecture schedules faster, more precise and optimal. The results obtained from the modeling of genetic algorithms in the lecture schedules system include reguler morning class schedules, reguler evening class schedules, and extention class schedules in all majors at XXXX Higher Education.

Usability Measurement of Classroom Booking Information System Integrated with Course Scheduling Information System

The purpose of this research is to help users in the information systems department based on test results. The method used is qualitative research, by giving questionnaires, observations, and previous research. Based on preliminary test results, it is expected that this measurement system can help users in this case lecturers and secretariat in the information systems department to determine the reservation of available classrooms without having to order classes manually. Through the class booking information system it is expected that the secretariat can easily record class booking data and easily oversee the use of classrooms to avoid disputes between lecturers caused by the use of classrooms from other lecturers who are not entitled to classrooms.

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.

Implementation of Material Requirement Planning (MRP) on Raw Material Order Planning System for Garment Industry

The increasingly competitive business environment has encouraged many actors to use information and communication technology as a competitive advantage, including the garment industry. So far, difficulties in controlling raw material inventories which causes problems for the production process. If there is a shortage of raw materials, the production process cannot be carried out, on the contrary if the raw material ordered is too excessive it will cause excess and the high cost of raw material inventory. This research develops an information system that can plan the needs of raw materials needed for production. This system is web-based, applying the MRP (Material Requirement Planning) method to develop raw material ordering planning systems, case studies at garment companies, using PHP programming and FIREBIRD databases. This system gets input from the production schedule resulting from production scheduling information system, then provides output in the form of recommendations for scheduling raw material orders. This output can later be used as a reference for the company’s operational decisions in planning raw material requirements.

ISTEM INFORMASI PEMBERIAN BONUS UPAH DAN PENJADWALAN KARYAWAN MENGGUNAKAN METODE ALGORITMA GENETIKA

By following the development of the market and the needs of the community, it is increasingly needed a technology to improve the quality and results of its production with careful planning, in order to avoid the level of loss and reduce production in the company. This is experienced by companies UD. Muria PS who is engaged in animal husbandry. Which has several problems in scheduling employees to take their products. Which also has an impact on the gap between employees on the bonus wages they receive. By building a scheduling information system and providing bonus wages, this research uses php programming language and website-based programming and applies genetic algorithms in it to more easily manage employee schedules and provide bonus rewards fairly and evenly. This genetic algorithm process has a parameter of the vehicle, coolie, and time in the scheduling process. and schedule parameters in the employee bonus wage process. Based on the results of the user trial, the respondents strongly agree with the existence of this application. Which of the 14 respondents said it was feasible to apply to the company UD. Muria PS with a result of 87.37%. It is expected that with this application, employee scheduling and bonus wage issues can help solve it. Keywords: Scheduling, Bonus Salary, Genetic Algorithm, PHP

Traffic flow forecasting for city logistics: a literature review and evaluation

This article presents a thorough literature review and evaluation of road traffic forecasting methods. More specifically, the literature review concerns the study of scientific articles, in order to draw conclusions on the best-applied methods and future directions of their implementation in city logistics. The algorithms (methods), through which the traffic forecast is carried out, are categorised and analysed, focusing on their potential implementation in freight transportation systems. It is beyond dispute that the proper use of traffic congestion information can significantly improve public confidence in road networks and reduce traffic congestion as well as its harmful environmental and social impacts. This analysis and the knowledge gained will be used in an on-going research project in order to support the application of traffic forecasting algorithms in the functionality of a vehicle routing and scheduling information system. This review is a useful tool for academia's and practitioners who study the adoption of traffic forecasting algorithms in IT solutions in order to schedule deliveries and routes in city logistics environment effectively.

Traffic flow forecasting for city logistics: a literature review and evaluation

This article presents a thorough literature review and evaluation of road traffic forecasting methods. More specifically, the literature review concerns the study of scientific articles, in order to draw conclusions on the best-applied methods and future directions of their implementation in city logistics. The algorithms (methods), through which the traffic forecast is carried out, are categorised and analysed, focusing on their potential implementation in freight transportation systems. It is beyond dispute that the proper use of traffic congestion information can significantly improve public confidence in road networks and reduce traffic congestion as well as its harmful environmental and social impacts. This analysis and the knowledge gained will be used in an on-going research project in order to support the application of traffic forecasting algorithms in the functionality of a vehicle routing and scheduling information system. This review is a useful tool for academia's and practitioners who study the adoption of traffic forecasting algorithms in IT solutions in order to schedule deliveries and routes in city logistics environment effectively.

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

Classroom Booking Information System Integrated with Course Scheduling Information System

Aim of this study is to facilitate the secretariat of information system department in monitoring and management of classroom using classroom booking information system integrated with lecture scheduling information system. Method use in this research is object oriented approach method with UML (Unified Modeling Language) tool and prototype model as development method. Java SE with mysql database use as programming language to build the information system. Implementation of this system helps secretariat to monitor and manage classroom easier and could prevent clashes between original schedule and replacement schedule.

APLIKASI PENJADWALAN MENGGUNAKAN ALGORITMA WELCH POWELL (STUDI KASUS : SMA MUHAMMADIYAH KENDARI)

Scheduling teaching and learning activities is a routine work performed by the Head of Curriculum Section each welcoming the new school year. The role of the Head of Curriculum Section in making the schedule of teaching and learning activities is very important and not easy because the schedule to be arranged consists of very much data. Based on the problems that exist in SMA Muhammadiyah kendari where the teacher chose the schedule of willingness to teach sendri. To assist the processing of subject schedules at SMA Muhammadiyah Kendari, it is necessary to have a scheduling information system using Welch Powell algorithm. Welch Powell algorithm is one of the methods used to solve optimization problems by performing staining based on the highest degree of Largest Degree Ordering or LDO nodes. The LDO method is considered appropriate for scheduling problems because it prioritizes the highest-level nodes that are connected by multiple patterns so they should take precedence for scheduling. By entering the necessary data, such as class data, subjects, teachers, time, school year, and willingness to teach. The system will generate lesson schedules based on teachers' willingness to teach and automatically schedule teachers who have not chosen a willingness to teach without clashing. Keywords — Welch Powell , Application, Scheduling DOI : 10.5281/zenodo.1343344

Production Planning and Planting Pattern Scheduling Information System for Horticulture

This paper present the production of planning and planting pattern scheduling faced by horticulture farmer using two methods. Fuzzy time series method use to predict demand on based on sales amount, while linear programming is used to assist horticulture farmers in making production planning decisions and determining the schedule of cropping patterns in accordance with demand predictions of the fuzzy time series method, variable use in this paper is size of areas, production advantage, amount of seeds and age of the plants. This research result production planning and planting patterns scheduling information system with the output is recommendations planting schedule, harvest schedule and the number of seeds will be plant.

Research on the Scheduling Information System of Measurement Test Business Based on .NET

Research on the Scheduling Information System of Measurement Test Business Based on .NET

Paprika pepper yield and quality as affected by different irrigation levels

This study was carried out to determine the effects of irrigation levels on yield and quality of paprika pepper under Harran plain conditions of Turkey. Different water stress levels under drip irrigation system were created by applying 125% of cumulative Class-A Pan evaporation (CAP 125 ), 100% (CAP 100 ), 75% (CAP 75 ) and 50% (CAP 50 ) of cumulative class-A-pan (CAP) evaporation in every 3 days. Besides, an irrigation treatment with IRSIS (Irrigation Scheduling Information System) computer program was created and applied as an alternative irrigation program. Three paprika pepper cultivars (Ace, King and Queens) were tested. Experiments were conducted in randomized blocks split plots design with 3 replications in 2005 at Koruklu Station of GAP Regional Development Administration located in Harran Plain of Sarliurfa, Turkey. Applied irrigation water amount and ET (Evapotranspiration) values for IRSIS treatment were 874 mm and 908 mm, respectively. Applied irrigation amount and ET values of CAP 125 and CAP 50 were between 254-568 mm and 368-602 mm, respectively. The highest yield was obtained from IRSIS treatment with 25.63 t ha -1 and the lowest yield was obtained from CAP 50 with 11.72 t ha -1 . The yield was significantly affected by cultivar, irrigation and cultivar × irrigation interactions. The average moisture, ASTA (American Spice Trade Association), capsaicin, vitamin C and beta-carotene contents were respectively varied between 83.96 – 84.76%, between 225.76–286.22 mg kg -1 , between 1404.11–2408.11 mg kg -1 and between 77.88– 113.00 mg kg -1 . Beta-carotene contents were not affected significantly by the cultivars, irrigations and interactions. The effects of irrigation and interactions on vitamin C and capsaicin were not also significant while the effects of cultivar on vitamin C and capsaicin were significant at P<0.05 level. It was observed in this study that sufficient yield levels of paprika peppers might be achieved through implementation of proper irrigation and care practices.

Paprika pepper yield and quality as affected by different irrigation levels

This study was carried out to determine the effects of irrigation levels on yield and quality of paprika pepper under Harran plain conditions of Turkey. Different water stress levels under drip irrigation system were created by applying 125% of cumulative Class-A Pan evaporation CAP125 , 100% CAP100 , 75% CAP75 and 50% CAP50 of cumulative class-A-pan CAP evaporation in every 3 days. Besides, an irrigation treatment with IRSIS Irrigation Scheduling Information System computer program was created and applied as an alternative irrigation program. Three paprika pepper cultivars Ace, King and Queens were tested. Experiments were conducted in randomized blocks split plots design with 3 replications in 2005 at Koruklu Station of GAP Regional Development Administration located in Harran Plain of Şarlıurfa, Turkey. Applied irrigation water amount and ET Evapotranspiration values for IRSIS treatment were 874 mm and 908 mm, respectively. Applied irrigation amount and ET values of CAP125 and CAP50 were between 254-568 mm and 368-602 mm, respectively. The highest yield was obtained from IRSIS treatment with 25.63 t ha-1 and the lowest yield was obtained from CAP50 with 11.72 t ha-1. The yield was significantly affected by cultivar, irrigation and cultivar × irrigation interactions. The average moisture, ASTA American Spice Trade Association , capsaicin, vitamin C and beta-carotene contents were respectively varied between 83.96 – 84.76%, between 225.76–286.22 mg kg-1, between 1404.11–2408.11 mg kg-1 and between 77.88–113.00 mg kg-1. Beta-carotene contents were not affected significantly by the cultivars, irrigations and interactions. The effects of irrigation and interactions on vitamin C and capsaicin were not also significant while the effects of cultivar on vitamin C and capsaicin were significant at P

조선소 생산물류 시뮬레이션 결과 정도 향상을 위한 생산정보시스템 기간 정보 검증

Unlike other mass production in small variety, shipbuilding process is a project-based method in single variety, which causes unpredictable volatility in the planning system. In shipyards, series of manufacturing processes from fabrication to erection is sequentially carried out. In order to predict unfavorable changes such as overload or low load of working volume, computerized simulation has been being gradually adopted. The data used in the simulation are processed from the database of the main scheduling and planning system. Thus the quality of those data is very crucial for the meaningful results. Unfortunately, research on the verification of data quality is very rare and hardly known to the authors. In this work, using the database of scheduling and product information system of a large domestic shipyard, the data required for the simulation are qualitatively analyzed and verified.

Perancangan Sistem Penjadwalan Mesin Hybrid Flow Shop dengan Algoritma Levyflight Discrete Firefly

The main issues that have been encountered in PT Surya Toto Indonesia is companies do not know how to measure the performance of the production process so as the utilization of resources that will be used isn’t yet to be known with efficiently. The purpose of this case studies is creating a better production processes by proposing a better and systematic scheduling information system. An Object Oriented Analysis and Design method is used to determine system’s requirements and design of the system architecture. Metaheuristic methods such as Discrete algorithms Levy-flight Firefly is used to improve the performance of the Hybrid Flow Shop machine scheduling become more better. Indicators that are used to determine the performance of the scheduling is makespan and lateness. Results from this algorithm is makespan value of 305.27 hours with lateness value of 10.92 which determine that there is no delays in scheduling. Scheduling information system was designed three primary capabilities, which are integrated data management, inventory management and a systematic and accurate scheduling system.

Optimasi Sistem Informasi Penjadwalan Kuliah Berbasis Heuristic Search yang Dikombinasikan dengan Teknik Smart Back Tracking dan Look Ahead (Studi Kasus pada STMI –Kementerian Perindustrian)

Scheduling lecture is scheduled number of components consisting of courses, lecturer, students, classrooms, and time with a number of restrictions and requirements (constraints) certain to get optimal results and the best. In this paper will be discussed and created scheduling lecture with a problem-solving approach to the science of Artificial Intelligence (Artificial Intelligence), by using an approximation of the mathematical problem that is aiming to find a situation or object that meets a number of requirements or specific criteria (Constraint Satisfaction Problem) to get the optimal scheduling and the best. To solve these problems the solution search techniques used by an algorithm that will result in optimal scheduling and the best (heuristic search) techniques combined with Smart Backtracking and Look Ahead called Intelligent Search to find and resolve problems when encountered a condition where no there is a solution in due course scheduling constraints and requirements are not met (deadlock). The application of these methods and techniques in the course scheduling information system is built, using the PHP programming language and MySQL database to solve the problem of scheduling to get optimal results and the best.

Application of Genetic Algorithms for a Tyre Production Scheduling Information System

A optimization scheduling problem in a enterprise of manufacturing tyres is discussed in this paper. And this problem is reduced to a single machine scheduling problem to minimize setup times with batchs setup time depending on sequence. A method for solving tyre production scheduling problem using an effective adaptive hybrid genetic algorithm (AHGA) is proposed. We advance a novel operator (looping & cutting operator) to improve the mountain climbing ability of the genetic algorithm, and put forward adaptive probabilities of crossover and mutation based on information entropy. Computational results show that the proposed adaptive hybrid genetic algorithm is effective and robust.

Introduction of an Operating Room (OR) Scheduling and Management Information System increased overall performance

Introduction of an Operating Room (OR) Scheduling and Management Information System increased overall performance

Enterprise-Wide Patient Scheduling Information Systems to Coordinate Surgical Clinic and Operating Room Scheduling Can Impair Operating Room Efficiency

Enterprise-Wide Patient Scheduling Information Systems to Coordinate Surgical Clinic and Operating Room Scheduling Can Impair Operating Room Efficiency