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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) FIKI 2013 Jurnal Informatika Jurnas Nasional Teknologi dan Sistem Informasi JURNAL AKADEMIKA Fortech : Journal of Information Technology Sebatik Jurnal Ilmiah Media Sisfo Conten : Computer and Network Technology Arcitech: Journal of Computer Science and Artificial Intelligence Akademika Fortech : Journal of Information Technology Computing and Information System Journal Dedikasi Nusantara JUSS (Jurnal Sains dan Sistem Informasi)
Novhirtamely Kahar
Universitas Nurdin Hamzah
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Engineering Health Professions

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Predicting Early Childhood Readiness to Enter Elementary School Using the Naive Bayes Classification Puspitorini, Sukma; Kahar, Novhirtamely; Kartika, Ikah
Arcitech: Journal of Computer Science and Artificial Intelligence Vol. 4 No. 2 (2024): December 2024
Publisher : Institut Agama Islam Negeri (IAIN) Curup

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29240/arcitech.v4i2.11635

Abstract

This study aims to examine the readiness and maturity of early childhood in entering elementary school using the Naïve Bayes method. This analysis involves variables such as gender, age, aspects of physical-motor, cognitive, social-emotional development, and literacy skills which include reading, writing, arithmetic, and children's level of independence. The readiness category is classified into two classes, namely "ready" and "not ready". This prediction model is designed to provide a comprehensive understanding of the factors that affect the classification results, so that the evaluation process can be carried out in a transparent, objective, and data-driven manner. This research is expected to be a reference for other educational institutions in implementing a similar model to evaluate student readiness systematically. By adjusting variables and data according to local needs, this model has the potential to support more accurate and standardized decision-making, as well as improve the quality of early childhood preparation in entering formal education. The results show that the Naïve Bayes method is able to achieve an accuracy level of 93.33%, confirming its effectiveness in identifying early childhood readiness optimally.
ANALISIS PREDIKSI KELULUSAN MAHASISWAFILKOM UNIVERSITAS NURDIN HAMZAH DENGAN METODE NAIVE BAYES Limia Budiarti, Rike; Kahar, Novhirtamely; wati, Risma
FORTECH (Journal of Information Technology) Vol 8 No 2 (2024): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/fortech.v8i2.1312

Abstract

Abstract - Universities have an obligation to produce competent graduates. This can be measured from the graduation rate of students. The purpose of the analysis carried out is to predict graduation on time and find out indicators of problems that cause graduation not to be on time. Many factors influence students' late graduation, such as the student's marital status, the status of the student working or not working, the level of student understanding of the course material which can be seen from the student's GPA. Predicting student graduation is very important because this research can make a significant contribution both academically. Understand patterns or factors that influence student success. Provides insights for designing more effective educational interventions, such as academic tutoring. Based on the existing problems, it is necessary to have a system to predict student graduation rates based on existing variables. Attributes used are Name, Name, Gender, School of Origin, Study Program, Year of College Entry, Year of Graduation, Student Status, Marital Status, Age, IPS, GPA and Parent's Occupation. The method used is the Naive Bayes method. Comparison results were carried out using Excel and Rapidminer tools. The resulting accuracy level is 97,96% from 330 training data and 98 test data
ANALISIS KETERSEDIAAN DARAH SESUAI SEGMENTASI UMUR, GOLONGAN DAN RHESUS DARAH DENGAN METODE K-MEANS CLUSTERING Wahyuning Astuti, Reny; Enjelita, Enjelita; Kahar, Novhirtamely
FORTECH (Journal of Information Technology) Vol 8 No 2 (2024): Fortech (Journal Of Information Technology)
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/fortech.v8i2.1339

Abstract

The Indonesian Red Cross (PMI) is responsible for the management and distribution of blood in Indonesia, including the Blood Donor Unit (UDD) of PMI Kota Jambi, which plays a crucial role in maintaining the availability of blood for 21 hospitals in Kota Jambi, Muaro Jambi, Batanghari, Tanjung Jabung Timur, as well as hospitals in South Sumatra. However, UDD PMI Kota Jambi can only meet around 81% of the monthly demand, which ranges from 1,900 to 2,100 blood bags. The purpose of this study is to analyze the decrease or increase in the number of donors according to age segmentation, blood type, and rhesus, to be used by UDD PMI in enhancing blood availability programs. This study employs the K-Means Clustering method with data attributes in the form of donor recapitulation data based on age segmentation, blood type, and rhesus monthly from 2021 to 2023. The dataset was obtained from UDD PMI Kota Jambi, consisting of donor recapitulation data from 2021 to 2023 on a monthly basis. Data calculations were performed using the RapidMiner Studio and Microsoft Excel applications. The output generated is a grouping of blood donors per month according to age segmentation, blood type, and rhesus. The results of this study can serve as a reference for recommendations to improve the blood availability program by UDD PMI Kota Jambi.
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.  
PENGGUNAAN METODE ANALITYCAL HIERARCHY PROCESS (AHP) DALAM PENENTUAN LOKASI PRIORITAS PEMBANGUNAN DRAINASE DI KOTA JAMBI: Location for Drainage, Analitycal Hierarchy Process (AHP), CodeIgniter, PHP MyAdmin Kahar, Novhirtamely; Yudi Branata, Fajar
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.v11i1.298

Abstract

This study aims to build a software application for Decision Support System (DSS) Determination of Priority Location for Drainage Development in the City of Jambi by applying the Analitycal Hierarchy Process (AHP) method. In determining the priority location of drainage development by the Sumatra Regional Office VI based on submission by the community and then resolved. During this time, the selection process is sometimes subjective, so sometimes the drainage that is built is not a priority. In the application that is built, in the selection process, determining the priority location is based on certain criteria so that the decision can be more objective. There are several criteria, namely: land, infrastructure and social conditions. While the drainage location in Jambi City is an alternative. The method used is the AHP method, which is a method that makes a comparison of each criteria and alternative as well as the method that tests the consistency of the value of the criteria weight. The SPK application in this study was built with PHP Codeigniter with Wampserver and PHP MyAdmin database. From the results of the study, it was obtained the value of the location with the highest ranking that would be recommended for priority drainage construction, namely: 0.532 located at the TalangBakung location in Jambi City. With this application, it can help the decision making process by the leadership of Sumatra Regional Office VI with more objective and impartial.
PENENTUAN PEMILIHAN SUPPLIER DENGAN METODE SIMPLE ADDITIVE WEIGHTING (SAW) DI ASTON JAMBI HOTEL & CONFERENCE CENTER: Decision Support System (DSS), Supplier, Simple Additive Weighting (SAW), Delphi 7.0, MySql Kahar, Novhirtamely; -, Nurhayati
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.v11i2.322

Abstract

In the current era of Industrial technology development, especially information technology, requires fast and accurate information in its implementation. Determination of supplier selection with a decision support system is one of the implementation of industrial technology developments. This study aims to build a Decision Support System (DSS) application for Determining Supplier Selection at the Aston Jambi Hotel & Conference Center by applying the Simple Additive Weighting (SAW) method. The SAW method is a weighted addition method, which is the weighted sum of the performance rating on each alternative on all criteria. The criteria used in the SPK for determining supplier selection are based on 6 (six) aspects of assessment, namely price, quality, payment, delivery accuracy, accuracy of quantity and distance. Supplier data, item data, alternative data, and criteria as input data. The results of this study are to produce a ranking sequence of suppliers that have been selected and the output of the application can help make decisions in selecting suppliers according to predetermined criteria. The application in this study was implemented using the Borland Delphi 7.0 Programming Language and the database using MySql.
SISTEM PENDUKUNG KEPUTUSAN PENENTUAN MINAT DAN BAKAT SISWA PADA SMKN 2 MUARO JAMBI: Decision support system, Weighted product (WP),Web Huda Aminuddin, Fattachul; Sany, Ezrifal; Kahar, Novhirtamely
JURNAL AKADEMIKA Vol 12 No 1 (2019): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v12i1.332

Abstract

Decision support system is part of a computer-based information systems used to support decision making in an organization or company. Decision support systems can be generated by using several kinds of methods, one of which is a method of Weighted Product (WP). Weigthted Product is completion method using multiplication to connect the attribute value, where the value should be raised to advance with the relevant attribute weights. Input data used this system is input student data, alternative data input, data input criteria, and the input weighted values ​​for each criterion. Data output is in the form of alternative data report, data report criteria, report student data and reports majors. By using the method of Weighted Product (WP) is a web-based, it is expected the process of placement of students more effectively and efficiently so that students quickly get information about majors and majors also results in accordance with each student's ability. By using decision support system and database, the data of students or student majors values ​​can be stored in it, so if there is an error in inputting values ​​or student data, then the erroneous data can be corrected without having to re-input the value or student data.
PENERAPAN METODE WEIGHT PRODUCT (WP) PADA SISTEM PENDUKUNG KEPUTUSAN PENILAIAN KINERJA TRIDARMA PERGURUAN TINGGI DOSEN PRODI TEKNIK INFORMATIKA STMIK NURDIN HAMZAH JAMBI Kahar, Novhirtamely; Simorangkir, Lucy; Nirmala Sari, Ayu
JURNAL AKADEMIKA Vol 12 No 2 (2020): Jurnal Akademika
Publisher : LP2M Universitas Nurdin Hamzah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53564/akademika.v12i2.384

Abstract

STMIK Nurdin Hamzah Jambi routinely rewards lecturers with the best tridarma performance of tertiary institutions every year. Through this award every lecturer is expected to be motivated to become better and always improve the quality of performance. In carrying out this assessment, STMIK Nurdin Hamzah Jambi formed a special team. The problem faced by this team is the difficulty in determining the decision of lecturers who are chosen to be lecturers with the best tridarma performance with criteria that have subjective or uncertain nature quickly. To overcome these problems, a decision support system was designed for the assessment of lecturers with the best tridarma performance of tertiary institutions using the Weight Product Method (WP). This study aims to build a software application that can help give consideration to decision makers in the selection of lecturers with the best tridarma performance of tertiary institutions at STMIK Nurdin Hamzah Jambi using the Weight Product (WP) method. The input needs are in the form of lecturer data, assessment criteria data, sub criteria, tridarma lecturer performance data of lecturers, and criteria weight data. The criteria used cover 3 fields, namely: Education and Teaching, Research, and Community Service, which consists of Student Assessment, Peer Lecturer Assessment, Leadership/Management Assessment, Academic Qualification, Research, Journal, Training, Seminar, Community Service Society, and Academic Position. The output produced in the form of a report on the results of the selection assessment, reports in the form of graphics, and reports on the results of the performance evaluation of the three-tier lecturers of tertiary institutions. From the results of the evaluation evaluation of the performance of the tridarma of the lecturer of the Informatics Engineering Study Program in the even semester of the Academic Year 2018/2019, the highest score was obtained on behalf of Lucy Simorangkir, S.Kom, M.Kom. as a lecturer with the best Tridarma tertiary performance.
ANALISIS PENGELOMPOKAN KUNJUNGAN WISATAWAN KE OBJEK WISATA UNGGULAN DI PROVINSI JAMBI BERBASIS DATA MINING: Data Mining;K-Means;Tourist;Jambi. Kahar, Novhirtamely; Puad, Lailyn; Istuti , Mona
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.v13i1.594

Abstract

Tourist visits to Indonesia, especially the province of Jambi can improve the economy of the community in the tourist area Jambi Province is one of the provinces in Indonesia which is one of the tourist destinations for foreign and international tourists to come to Jambi Province. There are 174 leading tourist attractions in Jambi province according to the questionnaire data taken. The purpose of this study is to analyze the application of datamining in classifying the number of tourist visits to Prov. Jambi uses k-means. The source of research data comes from questionnaire data filled out by the people of Jambi Province. The research data used is the number of tourist visitors last year. The data is grouped into 3 clusters namely C2 = high tourist visits, C1 = moderate tourist visits and C0 = low tourist visits. The final centroid value used at C0 = 5, C1 = 35 and C2 = 17. In order to obtain the results of grouping C0 = 116 attractions, C1 = 18 attractions and C2 = 40 attractions. The results of this analysis can be used as a reference for the Jambi Tourism office to find out the leading tourism objects in Jambi Province according to the Jambi Province Community.
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.
Co-Authors -, Tamrinsyah ., Sentia AA Sudharmawan, AA Ahmad Husna Ahadi Aminuddin, Fattachul Huda Anjel Brilian Iswandi Aritonang, Widya Astutui, Reny Wahyuning Ayu Nirmala Sari Bagus Surya K Besse Eka Mardiana Putri Brilian Iswandi, Anjel Budi Lestari, Eka Devrian Rifki Wijaya Dewi Sartika Simatupang Djauhari, Teuku Elvi Yanti Elzas Elzas, Elzas Enjelita, Enjelita Ezrifal Sany Farida Nasution, Renny Fattachul Huda Aminuddin, Fattachul Huda Aminuddin Fidela, Diva FIRMANSYAH, ANDI Gustina Gustina Gustina Halomoan Sihombing, Hanter Hikmatul Ilmi Huda Aminuddin, Fattachul Irfani Kurnia Perdana Irmalena - Istuti , Mona Jayawarsa, A.A. Ketut Junaidi Surya, Junaidi Kartika, Ikah Lailyn Puad, Lailyn Lestari, Megaria Limia Budiarti, Rike Lucy Simorangkir Mubaroq, Fazri Nela Lestari Nisa, Khoirotun Nova Fitri Nurhayati - Pahlevi, M. Roza Prastian Ari Asmoro Pratiwi, Eka Melisa Reni, _ Reny Wahyuning Astuti Reny Wahyuning Astuti, Reny Wahyuning Reny Wahyuning Astutui Reny Wahyuning Astutui Retno Palupi Retno Utari, Arsyna Rika Angelina Rike Limia Budiarti Rike Limia Budiarti, Rike Limia Rudi Dwi Rangga Sentia Sepriansyah, Iman Suana, Irma Sukma Puspitorini Sukma Puspitorini Sukma Puspitorini, Sukma Sukma Puspitorini, Sukma Puspitorini Utari, Arsyna Retno Utomo, Sutrisno Valencia, Desviana Vanessya , Thania Wahyuning Astuti, Reny Waru, Daka Wati, Risma Widia Widia Widiantara, Ary Widiantara, Ary Yudi Branata, Fajar _ Reni _ Reni