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All Journal JURNAL AKADEMIKA Fortech : Journal of Information Technology JTIK (Jurnal Teknik Informatika Kaputama) Journal of Applied Business and Technology Akademika Fortech : Journal of Information Technology
Sukma Puspitorini, Sukma
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Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Engineering

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Journal : Akademika

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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.
FUZZY C-MEANS UNTUK PENGELOMPOKAN DATA ASET: Clustering, Asset, Fuzzy Clustering Means, Profile Analysis, Eucledian Distance, Matlab 6.0, PT. Perkebunan Nusantara VII. Puspitorini, Sukma; Indria, Retno
JURNAL AKADEMIKA Vol 11 No 2 (2019): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v11i2.321

Abstract

Assets as assets owned by an individual, company or organization are tangible and intangible resources that play an important role in the company's operational sustainability. PT.Perkebunan Nusantara VI as one of the state-owned enterprises in Jambi which every year must manage asset data in such a way that it is expected that these assets can continue to offer benefits in the future. Profile analysis can help PT. Perkebunan Nusantara Plantation VI management in taking policies related to asset needs planning, procurement and maintenance and evaluation of assets owned by the company. In this study, Fuzzy Clustering Means (FCM) method used to classify tangible asset goods obtained from 2012 to 2017. Assets are divided into 3 groups with grouping variables is acquisition value, depreciation assets, and goods procurement quantity. The clustering process uses Matlab tools. The results of this study are assets profile of each cluster that categorize into Medium, High and Low Assets. From 96 asset data that clustered, there are 78 data categorize into LOW ASSETS (cluster 3), with Station Clarification Equipment has the highest number of items.
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.
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.
SISTEM INFORMASI CUSTOMER HISTORY PADA ACE HARDWARE JAMBI PRIMA MALL: Database;Information System;Customer History;PHP;PhpMyAdmin. Puspitorini, Sukma; Jannah Vemi Putri, Miftahul
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.v14i2.853

Abstract

The customer service staff at the Ace Hardware Jambi Prima Mall company with one of the job desks is managing the customer database used for marketing strategy, the customer database management is not effective because it still uses the manual method from the desktop application at the company by typing into Microsoft Excel. The purpose of this Customer History Information System practical work report is to make the effectiveness of the work of customer service staff to manage customer databases using case study research methods, developing this website application using the PHP programming language and the phpMyAdmin database. The pages in this application are input, process, and output, for the input needed in this application is customer data and transaction data with promo blast data processing then WhatsApp blast status. Which of the previous inputs and processes will produce reports or outputs of customers who have registered as members or have not become members, how many according to the selected period, as well as transaction data and other processes from research conducted to make it easier for customer service staff to manage the data.
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.
PENERAPAN UI/UX SISTEM INFORMASI SPONSORSHIP EVENT PT INDOSAT OOREDOO DENGAN METODE DESIGN THINKING Kahar, Novhirtamely; Puspitorini, Sukma; Brilian Iswandi, Anjel
JURNAL AKADEMIKA Vol 16 No 1 (2023): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v16i1.1120

Abstract

Developing a UI/UX Implementation Application for the PT Indosat TBK Sponsorship Event Information System using the Design Thinking Method in a systematic and structured manner so that it can help Admin and Marketing Communication in recording and monitoring Sponsorship Events within a certain period. As well as a structured database system that makes it easier for admin performance to be effective and efficient. This is because currently there is no media available to process PT Indosat event sponsorships. With a database aimed at managing the application database, it can be built properly using PHP. This system has a small scale and involves only a few people in the system, namely marketing, admin and users. The aim of implementing the Pt Indosat TBK Event Sponsorship Information System UI/UX using the Design Thinking Method makes it easier to manage proposal data and create reports. This Information System inputs admin, marketing, user, proposal, micro cluster and agency data. Create an account for users so they can see the proposal status after inputting proposal data. If the proposal status is approved, then print proof of sponsorship letter for the user, so that you get admin, marketing proposal data reports and data reports per status. This application was built using Phpmyadmin, Cascading Style Sheet, Hypertext Markup Language. It is hoped that it can help Indosat in event sponsorship.
MEDIA PEMBELAJARAN INTERAKTIF BAHASA INDONESIA DI KELAS IV SD NEGERI 42/IV KOTA JAMBI: Interactive Learning Media, Indonesian Language, Waterfall Method, Learning Features, User Satisfaction, SD Negeri 42/IV Kota Jambi. Megawati, Merti; Puspitorini, Sukma; Setya Ardifa, Febri
JURNAL AKADEMIKA Vol 17 No 2 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i2.1505

Abstract

This study aims to develop and evaluate the effectiveness of interactive learning media for the Indonesian language subject in Grade IV at SD Negeri 42/IV Kota Jambi using the Waterfall method. The Waterfall method was applied through steps like needs analysis, design, development, testing, and maintenance, ensuring each step was done in an organized and systematic way. The interactive learning media was created using Macromedia Flash 8 and includes features like learning materials, animations, interactive quizzes, and interesting visuals to help students understand the content better. After development, the media was tested on 20 Grade IV students. The test results showed that 95% of the students were "Very Satisfied" with the use of this learning media, which means it not only helps improve understanding but also makes learning more fun and engaging for students. In conclusion, this interactive learning media has the potential to be an effective and enjoyable tool for teaching Indonesian in elementary schools.
SISTEM CERDAS BERBASIS JARINGAN SYARAF TIRUAN MODEL PERCEPTRON UNTUK DIAGNOSIS PENYAKIT DIABETES MELITUS DI RSUD RADEN MATTAHER JAMBI: Diabetes Melitus, Artifiial Neural Network, Perceptron, Matlab, Implementati Kahar, Novhirtamely; Puspitorini, Sukma; Fidela, Diva
JURNAL AKADEMIKA Vol 17 No 2 (2025): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v17i2.1507

Abstract

Diabetes mellitus is a chronic disease characterized by high blood sugar levels which can cause various serious complications, including damage to the eyes, kidneys, heart and nerves. In Indonesia, this disease is one of the main causes of death, the increasing number of diabetes mellitus sufferers requires more efficient and accurate diagnostic methods to help manage and treat this disease. This research focuses on the application of Artificial Neural Networks (ANN) using the Perceptron method in diagnosing diabetes mellitus patients at Raden Mattaher Regional Hospital, Jambi. This system is designed to increase the accuracy of diagnosis, making it easier for doctors and medical personnel to determine the appropriate medical action. This research includes collecting symptom data such as age, family history of diabetes, feeling easily thirsty and hungry, physical data including checking the patient's weight, blood pressure and wounds. and laboratory results which include blood sugar, HbA1c and autoimmune tests from the patient. The data is then processed using the Perceptron method on ANN to produce a model for diagnosing types of diabetes, namely type 1, type 2 and gestational diabetes. The implementation of this method is carried out with the help of Matlab software. The research results show that the application of the perceptron method in ANN has a fairly high accuracy value in determining the target output and atctual output with a value of 100% using training data of 96 data from 120 data and 24 test data from 120 data.  
Co-Authors Aris Munandar Bintang Mahendra, Rizky Brilian Iswandi, Anjel Cardova, Bravo Aro Dwi Larasati, Putri Fidela, Diva Fitri Yusni, Vuspa Gusrial, Rama Hidayah, Al Pigri Indria, Retno Jannah Vemi Putri, Miftahul Kurnia Akbar, Fajri Lidyawati, Indah Lisdarti Lisdarti, Lisdarti Lucy Simorangkir Marwah, S. Megawati, Merti Novhirtamely Kahar Pangestu, Prayogo Pariyadi Reny Wahyuning Astuti, Reny Wahyuning Rivatunisa, Cyntia Setya Ardifa, Febri Trimas Tuti, Desti Wahyuning Astuti, Reny Windy Adriana Yandri Yanuar, Wendy