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All Journal Jurnal Komputer, Informasi dan Teknologi Jurnal Komputer Indonesia
Alinse , Rizka Tri
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Computer Science & IT Electrical & Electronics Engineering

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Design and Build Applications in Total Forecasting New Students in School by Applying Non Linear Trend Method Monika, Lola Eris; Yupianti, Yupianti; Alinse , Rizka Tri
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 1 (2021): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i1.95

Abstract

SMA Muhammadiyah 1 Bengkulu City is one of the schools located in Bengkulu City, where several data processing systems still use manual systems, one of which is new student registration. Every new school year, the officer fills out the sheet of students enrolled in the school one by one in the registration book. This takes a long time when the officer wants to make a report of students registered, because they have to retype the data in the registration book into the computer. In addition, after conducting interviews, it was found that the students at SMA Muhammadiyah 1 Bengkulu City experienced a decline every academic year. The application of forecasting the number of new students at SMA Muhammadiyah 1 Bengkulu City can be used to predict the number of new students in the next academic year based on the results of the analysis on old historical data. This forecasting process is carried out through the Non-Linear Trend Method approach, so that the final forecasting result is obtained from the stages of the process that occur. It was made using the VB.Net programming language and SQL Server database which can assist the school in managing school quality assurance, in order to attract interest from prospective students to enroll in SMA Muhammadiyah 1 Bengkulu City, and can arrange school promotion strategies for prospective students. Based on the tests that have been carried out, it can be concluded that the functional application of forecasting the number of new students at SMA Muhammadiyah 1 Bengkulu City has been running properly and the application for forecasting the number of new students at the school which is able to display forecasting results in the next academic year.
Application of Weight Moving Average Method in Forecasting Drug Inventory Application at Dermayu Health Center Ekasari, Leni; Sapri, Sapri; Alinse , Rizka Tri
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.291

Abstract

The drug inventory forecasting application at Dermayu Public Health Center is an application that is used to predict the amount of drug inventory for the next month based on an analysis conducted on the data on the amount of drug inventory for the last 12 months. In addition, in this application there are 2 (two) methods used for comparative analysis of drug inventory forecasting, namely the Weight Moving Average Method and the Linear Regression Method. Where the comparison of the two methods is seen from the forecasting results and the level of accuracy of the forecast results. With the forecasting results in these 2 (two) methods, it can be used as a reference for the health center in making decisions to manage the amount of drug inventory each month. The drug supply forecasting application was created using the Visual Basic .Net programming language with SQL Server database. Based on the tests that have been carried out, it can be concluded that the functional of the application for forecasting drug supplies at Dermayu Health Center has been running as it should, and the drug inventory forecasting application is able to display the results of forecasting the amount of drug inventory for the next month through 2 methods, namely the Weight Moving Method. Average and Linear Regression Method..
The Implementation Of Apriori Algorithm Methods For Predicting Project Material Purchases At CV. Padat Karya Konstruksi Suhardi, Nadia Elisa; Maryaningsih, Maryaningsih; Alinse , Rizka Tri
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.792

Abstract

In predicting the purchase of goods, there are many methods that can be used, among others, by processing purchase data using Data Mining method accompanied by Priori Algorithm based on the purchasing process carried out by the company based on the relationship between the goods purchased. By using the a priori algorithm, the company in this case is CV. Padat Karya Konstruksi can estimate the number of building materials needed by workers this is due to the large number of goods purchases at CV. Padat Karya Konstruksi to match the work. The stages of the a priori algorithm used are data transformation in tabular table form, determining the minimum value of support and minimum confidence, formation of 1-item set candidate combination pattern then counting the number of occurrences in each item set. So that it is obtained from 17 (seventeen) data, items that are often purchased are cement as much as 11 (eleven) times, split stone 8 (eight) times, and concrete sand as much as 8 (eight) times with a support value of 25% and a confidence value of 75%.
Expert System in Determining Disorders of Children with Special Needs at SLBN 1 Bengkulu City Using the Certainty Factor Method Hidayat, Karno Saputra; Maryaningsih, Maryaningsih; Alinse , Rizka Tri
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.1036

Abstract

Bengkulu City 1 Special Special School (SLB) is one of the special schools in Bengkulu City which provides educational facilities ranging from SD, SMP and SMK. Children with special needs at SLB Negeri 1 Bengkulu City are divided into 5 types, namely the Blind, Deaf, Moderately Disabled, Mildly Disabled and Physically Disabled. Students who have just registered at SLB Negeri 1 Bengkulu City are identified with the characteristics of the child to find out the type of disorder in children with special needs. However, in practice this is more difficult than determining the type of normal student disorder in general. This is because each type of child with special needs has some of the same characteristics, so it takes quite a long time. The expert system application at SLB Negeri 1 Bengkulu City was created to assist the school in knowing and determining disorders of children with special needs based on the characteristics experienced by students. The expert system application has been applied to the Certainty Factor Method which is used to obtain the percentage level of certainty for the disorder of the child with special needs. An expert system application for determining disorders of children with special needs at SLB Negeri 1 Bengkulu City is made using the Visual Basic.Net programming language. Based on the results of the tests that have been carried out, the functionality of the expert system application in determining disorders of children with special needs at SLB Negeri 1 Bengkulu City is running well as expected and can provide information on the results of consultations to determine disorders of children with special needs.
Clustering Sales Patterns of Best Selling and Less Selling Products at El Jhon Bengkulu Stores Using the K-Medoid Method Ridwan, Agung Laksono; Siswanto, Siswanto; Alinse , Rizka Tri
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.1048

Abstract

The clustering application of the best-selling and less-selling product sales patterns at the El Jhon Bengkulu Store can provide information on the best-selling and less-selling product sales patterns as a basis for consideration in product inventory management at the El John Store. Based on 40 total product sales and inventory data in April 2022, the results obtained that 9 data entered cluster C1 (22.5% best selling products) and 31 data entered C2 cluster (77.25% less selling products). Based on the results of the tests that have been carried out, the functionality of the product inventory is running well as expected, and can provide information on the results of product data clustering into 2 groups, namely Best Selling and Less Selling
Designing A Computer Network Monitoring System With Sms Notifications Using The Dude Irawansyah, Riki; Khairil, Khairil; Alinse , Rizka Tri
Jurnal Komputer, Informasi dan Teknologi Vol. 3 No. 2 (2023): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i2.1494

Abstract

One system that can perform network monitoring with SMS notifications is using The Dude. This network monitoring system with SMS Notification aims to make network admins aware of network conditions wherever they are. In monitoring the network the dude can do based on the ip address entered, the dude is open source, which is one of the software or tools built into Mikrotik, in the process of installing the dude does not require large storage space. In monitoring the network the dude will display a green indicator, which is on and red, which is off, to monitor the network the dude does it based on the IP Address per each device connected to the network. The Dude can perform network monitoring on the SMA N 6 Bengkulu Selatan computer network in the form of notification of devices on or off. The results of the monitoring will be sent in the form of notifications to the admin cellphone in the form of SMS, in sending SMS notifications, the dude takes +/- 2 minutes, the time for sending SMS notifications is calculated based on the condition of the device on or off until the notification is received or received on the cellphone.
Prototype Of Android-Based Face Detection Attendance Application Using Hog Method At PT. Thamrin Brothers Seluma Agustin, Decki; Yupianti, Yupianti; Alinse , Rizka Tri
Jurnal Komputer Indonesia Vol. 1 No. 2 (2022): Desember
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v1i2.19

Abstract

PT. Thamrin Brothers Seluma is a company engaged in the automotive trade, especially two-wheeled vehicles, which is located in Seluma Regency, Bengkulu Province, Indonesia. The company needs an attendance system that can improve the weaknesses of the current attendance system. If the equipment damage and there is a power outage, as a result, attendance is made manually, while the attendance system is very necessary in monitoring employee attendance every day at the company. The method used is the Hinstogram of Oriented Gardens, which is a method that helps detect faces in designing Android-based face detection attendance application. It will make it easier for users to make attendance by way of face detection using an Android smartphone. Besides that, PT. Thamrin Brothers Seluma can more easily monitor the attendance of its employees. Based on system testing at PT. Thamrin Brothers Seluma can be concluded that the design of the Android-based face detection attendance application has met what was expected by PT. Thamrin Brothers Seluma well.
Application of K-Means Clustering Method in Determining Student Majors at SMA Negeri 6 Bengkulu Tengah Based on Student Subject Values Per Semester Ikbal, Muhammad; Yupianti, Yupianti; Alinse , Rizka Tri
Jurnal Komputer Indonesia Vol. 1 No. 1 (2022): Juni
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jki.v1i1.30

Abstract

At SMA Negeri 6 Bengkulu Tengah the Department is divided into 2, namely science and social studies. Determination of majors in schools is done based on the value per subject obtained by students. However, the data processing process is still done manually, sometimes students can choose the desired majors themselves so that over time the student learning process looks bored because the majors chosen are not in accordance with what students expect. The clustering application of student subject values ​​per semester at SMA Negeri 6 Bengkulu Tengah is used to assist the school in managing student data, the value of student subjects so that the appropriate student majors are known based on the scores obtained by students. In grouping the student's subject value data in the application, the K-Means Clustering method has been applied so that it can produce 2, namely Cluster C1 (IPA) and Cluster C2 (IPS). The application for clustering student subject values ​​per semester at SMA Negeri 6 Bengkulu Tengah was made using the Visual Basic.Net programming language. Based on the results of the tests that have been carried out, the functional clustering application of student subject values ​​per semester at SMA Negeri 6 Bengkulu Tengah runs well as expected and can provide information on the results of clustering student data into 2 groups, namely science and social studies.
Co-Authors Agustin, Decki Ekasari, Leni Hidayat, Karno Saputra Irawansyah, Riki Khairil Khairil Maryaningsih, Maryaningsih Monika, Lola Eris Muhammad Ikbal Ridwan, Agung Laksono S Siswanto sapri sapri Suhardi, Nadia Elisa Yupianti, Yupianti