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All Journal Fortech : Journal of Information Technology Akademika Fortech : Journal of Information Technology
Wahyuning Astuti, Reny
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Computer Science & IT Decision Sciences, Operations Research & Management

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN MEDIA PEMBELAJARAN DARING DI SD NEGERI 048/IX SARANG BURUNG MENGGUNAKAN METODE HYBRID AHP-TOPSIS Kahar, Novhirtamely; Wahyuning Astuti, Reny; Mubaroq, Fazri
JURNAL AKADEMIKA Vol 17 No 1 (2024): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i1.1295

Abstract

This study focuses on selecting online learning media at SD Negeri 048/IX Sarang Burung. Various available media options often make it difficult for educators to choose the one that best suits the needs and conditions of the student environment. This study uses the Hybrid AHP-TOPSIS approach to design a decision support system. The AHP method is used to establish a hierarchy of relevant criteria and their relative weights. Meanwhile, the TOPSIS method is used to rank alternative learning media based on their proximity to the ideal positive and negative solutions. This system is built using web-based software that allows users to input data and view analysis results directly. The system testing results show that the Hybrid AHP-TOPSIS method can produce selected learning media alternatives that meet user needs, specifically Zoom with a score of 0.8667. Thus, the system testing results indicate that the Hybrid AHP-TOPSIS method can produce selected alternatives according to user needs, and the implementation of this system can improve education quality because the proper selection of learning media can enhance students' motivation and learning outcomes. Additionally, this system is expected to be a solution to the problems in determining appropriate learning media for educators.  
PENENTUAN PRODUK UNGGULAN ONLINE SHOP MENGGUNAKAN K-MEANS DAN SUBTRACTIVE CLUSTERING: K-Means Clustering, Cluster Optimal, Subtractive Clustering Wahyuning Astuti, Reny; Puspitorini, Sukma; Trimas Tuti, Desti
JURNAL AKADEMIKA Vol 11 No 1 (2018): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v11i1.299

Abstract

Clustering is a method to search and classify data that has similarity characteristics between one data with other data. This clustering implementation can be applied to various fields as an example in terms of determining best-selling products. One method of clustering is often used because of its relatively quick and adaptable is the K-Means algorithm. Technique of grouping K-means method is very needed by Nasa Jambionline shop to classify their products. During this time Nasa Jambi online shop classifies the product by way of checking through sales memos and report books to find out and calculate the best-selling product. This is not efficient because the time required to calculate and check the notes and reports is long enough. Use of the K-means method will make it easier in clustering best-selling products Nasa Jambi online shop. The time needed to cluster the products will be shorter because the calculations and checks are done computerized. Data input that will be used is the number of products sold, the amount of the transaction and the remaining stock of products. The data process begins by making a calculation of the K-Means method according to the existing stages by determining the number of groups, centroid centers, to generate output in the form of product classification.
APLIKASI PENCARIAN LOKASI KULINER DAN WISATA DI KOTA JAMBI DENGAN SISTEM INFORMASI GEOGRAFIS BERBASIS ANDROID: Android, Culinary, Google Maps API, Geographic Information System, Jambi , Smartphone, SQLite Puspitorini, Sukma; Wahyuning Astuti, Reny; Munandar, Aris
JURNAL AKADEMIKA Vol 11 No 1 (2018): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v11i1.304

Abstract

Jambi City is one of the cities in Jambi Province, and also the seventh largest city on the island of Sumatra. This city has some unique culture, tourism and culinary that are the hallmarks of Jambi city which can be an attraction for domestic and foreign tourists. During this time tourists and culinary lovers in seeking information or getting information from Wikipedia or personal web that has a limited reference. For domestic and outside tourists, this method is less effective because it will spend a lot of time. The purpose of this study is to build a geographic information system application that can help people and tourists to find culinary and tourist places in Jambi City. This application is built on the Android platform so that it can be accessed by users via their smartphone anywhere and anytime. The application was built using the Java programming language with SQLite database and integrated with the Google Maps API as navigation to find out the map of the location of the culinary and tourist destinations sought. In this application, users can find out information on places, menus, prices, and locations of culinary and tourist attractions, the history of Jambi City and its distinctive products. The results of this study, users can search the location of culinary and tourist places in the city of Jambi more quickly with complete and detailed information.
POHON KEPUTUSAN DENGAN ALGORITMA C.45 UNTUK PENENTUAN TINGKAT RESIKO PENYAKIT GERD: Algoritma C45;Decision Support System;GERD;Web;Weka. Puspitorini, Sukma; Wahyuning Astuti, Reny; Rivatunisa, Cyntia
JURNAL AKADEMIKA Vol 13 No 1 (2020): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v13i1.580

Abstract

Gastroesophageal Reflux Disease (GERD) is a disorder in which the contents of the stomach reflux repeatedly into the esophagus (esophagus), which causes symptoms and or complications that, interfere. The purpose of this study was to determine the level of risk of GERD in respondents based on diet, lifestyle, and perceived symptoms. The method used in this study is a decision tree with the C.45 algorithm. To make a decision tree WEKA tools are used, where data obtained from the results of a questionnaire distributed to 51 respondents to determine diet and lifestyle, then to predict the risk level of GERD a web-based decision support system was built using the Php programming language and the MySQL database. The input needs consist of respondent data input, questionnaire question data input, news data input, and training data input, with process requirements that include respondent data processing, questionnaire question data processing, news data processing, questionnaire data processing, and reporting process, which will produce training data output reports by gender, training data reports by date and prediction results. This study resulted in a design of a decision support system to determine the risk level of GERD that can help medical staff aware and educate the public to recognize early symptoms of GERD disease and to help general practitioners advise patients with GERD.
PENERAPAN PROFILE MATCHING PADA SISTEM PENDUKUNG KEPUTUSAN PENGANGKATAN KARYAWAN TETAP DI PT. PROPAN RAYA ICC CABANG JAMBI: Decision Support System;Profile Matching;PHP;PHPMyAdmin;Permanent Employee. Kahar, Novhirtamely; Wahyuning Astuti, Reny; Farida Nasution, Renny
JURNAL AKADEMIKA Vol 13 No 2 (2021): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v13i2.644

Abstract

Human resources are the most important contribution to the growth and development of the company. For this reason, companies need to assess the performance of contract employees to be appointed as permanent employees so that their resources are of higher quality. At PT. Propan Raya ICC Jambi Branch selects permanent employees in a gradual period according to the length of the training period and other assessments, but sometimes it is not optimal in its implementation because it looks unprofessional and subjective. This study aims to build a decision support system application for permanent employee selection based on the criteria of creativity, work attitude (performance), and behavior. This application is built with support for PHP, CSS, and the PHPMyAdmin programming language. Input data is in the form of employee identity data, employee criteria and sub-criteria values ​​to be selected, through a calculation process using the profile matching method with the final employee ranking results. Information in the form of reports on the selection results of the appointment of contract employees to become permanent employees, employees selected to extend the contract period, and reports of contract employees who have quit. The implementation of the decision support application program for contract employee selection results showed that the recommended contract employee to be appointed as a permanent employee was Kamaludin with a score of 4,568 who had the highest score among other employees. From the results of this study it was concluded that this application was made to help PT. Propan Raya ICC Jambi Branch in implementing a decision support system with the profile matching method in processing employee data, especially facilitating the selection process for permanent employees.
ASSOCIATION RULE MINING UNTUK PROMO WHATSAPP BLAST PADA PRODUK ACE HARDWARE JAMBI PRIMA MALL: Database;Data Mining;Association Rule;Apriori;PHP;Weka;phpMyAdmin Puspitorini, Sukma; Wahyuning Astuti, Reny; Jannah Vemi Putri, Miftahul
JURNAL AKADEMIKA Vol 15 No 1 (2022): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v15i1.848

Abstract

Customer service staff at the Ace Hardware Jambi Prima Mall company with one of their jobs is to manage customer databases that are used for marketing strategies, one of which is whatsapp blast, but the customer database is not widely managed, therefore the purpose of this data mining analysis thesis report is to use association rules on the method a priori to describe promos addressed to customers based on shopping history. Association rules were formed with the help of the weka tools through a case study of promotional facilities at Ace Hardware Jambi Prima Mall, the development of this website application using the PHP programming language and the phpMyAdmin database. Weka tools are used for the process of finding the best association rules from training data or customer transaction data and the website application is used to display promo predictions from the results of association rules on weka tools. The inputs needed in this application are customer data, transaction data, product data and promo data with a promo prediction process and whatsapp blast status. From the input and the previous process, it will generate reports or customer outputs who will get promos based on shopping history.
IMPLEMENTASI METODE SIMPLE ADDITIVE WEIGHTING PADA PEMILIHAN DESA PENERIMA KEGIATAN TMMD KOREM 042/GAPU : FMADM;Korem 042/GAPU;Simple Additive Weighting;Decision Support System;TMMD. Wahyuning Astuti, Reny; Rifkianda, M. Anugrah
JURNAL AKADEMIKA Vol 14 No 2 (2022): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v14i2.863

Abstract

Village selection for the Manunggal Army Building a Village (TMMD) activity at Korem 042/GAPU is still using the manual method, making it difficult to select and consider villages that are entitled to receive assistance. The method used is Fuzzy Attribute Decision Making (FMADM) to determine the results of the selection of each alternative and the calculation in this study uses Simple Additive Weighting (SAW), then calculations are carried out on each predetermined criterion. The results of this research are web-based. The data input into this system is in the form of population, village name, village address, data on the criteria for the most prioritized infrastructure facilities, data on budget funds criteria, and data on criteria for mileage from the village to the city. Then carry out the data input process and produce output in the form of recommendations for which villages are entitled to receive assistance from TMMD activities. By using this system, it is hoped that the activity organizers can determine which villages are entitled to receive assistance appropriately and efficiently.
MEDIA INFORMASI PENGENALAN MAKNA DAN MOTIF BATIK JAMBI BERBASIS ANDROID PADA SANGGAR BATIK OLAK KEMANG: Information;Batik;Jambi;Meaning. Surya, Junaidi; Wahyuning Astuti, Reny; Priyanto, Prayit
JURNAL AKADEMIKA Vol 14 No 2 (2022): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v14i2.865

Abstract

Batik Jambi was first developed by the families of the Jambi Malay Kings and gradually receded after the kingdom collapsed. The Jambi community, especially many young people, do not know the shape and meaning of the Jambi batik motif, and the difficulty is getting the information about the shape and meaning of the Jambi batik motif because there is no book on the shape and meaning of the Jambi batik motif that can be widely used. If this is allowed to continue it does not rule out the possibility that one day Batik Jambi will be forgotten by the community, especially among today's young generation. The problem is that the Jambi people, especially the younger generation, mostly only know the extent of Batik Jambi, but if asked from the form of the motif even to the meaning of the Jambi batik motif, few know about it because of the lack of information about Batik Jambi which discusses the form and meaning especially in shaped android application.
IMPLEMENTASI DAN ANALISIS METODE CASE BASED REASONING PADA DIAGNOSIS AWAL PENYAKIT SALURAN PERNAPASAN : Case Based Reasoning, Diagnosis, Expert System, Respiratory tracr. Wahyuning Astuti, Reny; Puspitorini, Sukma; Pangestu, Prayogo
JURNAL AKADEMIKA Vol 15 No 2 (2023): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v15i2.928

Abstract

Respiratory tract disease is a disease that can spread quickly in the community. Although mild, the disease is still dangerous for the very young and adults with limited cardiopulmonary function. This causes many local people to seek treatment at the Pondok Table Health Center, making doctors treat various types of diseases, especially influenza, ISPA, Faringitis and other respiratory diseases. However, in the current pandemic era, coupled with the Covid-19 Virus, it is enough for doctors to have to work extra to deal with various symptoms of the same respiratory disease. Therefore, it is necessary to apply an expert system for early diagnosis of respiratory tract disease by applying the Case Based Reasoning method. The Case-based reasoning method has the ability to provide more accurate diagnosis results, by comparing new cases and old cases using Similarty calculations, where this system will help patients to diagnose early disease, as well as provide disease information and treatment solutions. To make a diagnosis on this expert system application, input data is needed in the form of disease data, symptom data and case base data. And this application produces output data in the form of patient diagnosis reports.
MONITORING PERKEMBANGAN ANAK USIA DINI DENGAN METODE PERCEPTRON PADA DI TK KASIH BUNDA BATANGHARI: Artificial Neural Network (ANN), Early Childhood Development, Perceptron Method, Matlab, Monitoring. Kahar, Novhirtamely; Wahyuning Astuti, Reny; Valencia, Desviana
JURNAL AKADEMIKA Vol 15 No 2 (2023): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v15i2.934

Abstract

Monitoring the development of early childhood is very important, especially for children aged 4-6 years, because at that time it was a golden age that required more attention in order to stimulate child development to the maximum. This research is expected to be able to help educators to determine the development that occurs in students. The method used in this research is the perceptron method. The perceptron method is a simple Artificial Neural Network (ANN) method that uses a training algorithm to classify linearly, while the input data that becomes the criteria for this research are Moral Religious Values (MRV), Physical Motoric (PM), Cognitive, Social Emotional, Language, and Art. While the output of the data that has been processed is in the form of selected development indicators, this indicator is divided into three, namely Very Good Development [1 1], Evolves According to Expectations [1 0], and Begins to Develop [0 1]. After analyzing the monitoring of early childhood development by applying the perceptron method and the processing it using the Matlab R2009a application, the research concluded that the perceptron method was proven to be able to determine the target output and the actual appropriate ouput reached 68%.
Co-Authors Ahmad Louis, Ahmad Antika, Rahma Aris Munandar Bayu Rasul Liyanda, Ragil Enjelita, Enjelita Farida Nasution, Renny FIRMANSYAH, ANDI Hendra Wijaya Hidayah, Al Pigri Jannah Vemi Putri, Miftahul Junaidi Surya, Junaidi Kurnia Akbar, Fajri Lucy Simorangkir Maulana Syarif, Nanang Mubaroq, Fazri Muhammad Rifki Novhirtamely Kahar Pangestu, Prayogo Pariyadi Priyanto, Prayit Putri Susanti Rifkianda, M. Anugrah Riswan Rivatunisa, Cyntia Sopian, Abu Suana, Irma Sukma Puspitorini Sukma Puspitorini, Sukma Trimas Tuti, Desti Utomo, Sutrisno Valencia, Desviana Widiantara, Ary Yeni Nurjani, Yeni