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All Journal Jurnal Media Infotama Jurnal Pseudocode International Journal of Artificial Intelligence Research JUTIM (Jurnal Teknik Informatika Musirawas) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JUKI : Jurnal Komputer dan Informatika GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal Multidisiplin Dehasen (MUDE) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Jurnal Karya Nyata Pengabdian Journal of Engineering and Technology Innovation Jurnal Komputer, Informasi dan Teknologi
Devi Sartika
Universitas Dehasen Bengkulu
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Perancangan Sistem Pendukung Keputusan Kelayakan Angkutan Umum Berdasarkan Uji Kir pada Dinas Perhubungan Bengkulu Tengah Riko Mandala Putra; Herlina Latipa Sari; Devi Sartika
Journal Of Engineering And Technology Innovation ( JETI ) Vol. 2 No. 03 (2025): Journal Of Engineering And Technology Innovation ( JETI )
Publisher : Rey Media Grafika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66084/jeti.v2i03.53

Abstract

Kebutuhan akan angkutan umum sebagai salah satu sarana transportasi sangat diperlukan khususnya di wilayah Bengkulu Tengah yang memiliki mobilitas yang sangat tinggi untuk kegiatan mereka sehari-hari. Dari kondisi tersebut kabupaten Bengkulu Tengah melalui Dinas Perhubungan UPTD Balai Pengujian Kendaraan Bermotor Kabupaten Bengkulu Tengah dengan upaya untuk melayani masyarakat dalam memenuhi kebutuhan angkutan yang representatif. Untuk meminimalisir masalah tersebut diantaranya dengan merancang sistem yang dapat menangani kelayakan angkutan dengan menerapakan sistem pendukung menggunakan metode Simple Additive Weighting. Hasil penerapan metode Simple Additive Weighting dapat digunakan Dinas Perhubungan UPTD Balai Pengujian Kendaraan Bermotor Kabupaten Bengkulu Tengah dalam menentukan rekomendasi kelayakan kendaraan angukutan umum untuk beroperasi berdasarkan kriteri uji KIR.
Application of the Simple Additive Weighting (SAW) Method in Recommended Skripsi Topics Tengsi Mayang Nopita Sari; Liza Yulianti; Devi Sartika
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.v2i2.953

Abstract

Students were confused by the selection of thesis topics from the 3 thesis topics to be discussed in research, thus slowing down the thesis submission process and some students did not submit titles during semester 7. thesis topic, one way is by utilizing information technology systems. The recommendation application for thesis topics at the Management Study Program, Faculty of Economics, University of Dehasen Bengkulu, was made using the Visual Basic .Net programming language and SQL Server 2008r2 database. In the application, one of the Decision Support System (DSS) methods has been applied, namely the Simple Additive Weighting (SAW) method which is used to help determine recommendations for final semester student thesis topics based on the value of the courses obtained by students. There are 3 thesis topics in the Management Study Program, Faculty of Economics, University of Dehasen Bengkulu, namely finance, human resources, and marketing with a course value of 17 courses. Recommendations for this thesis topic are given per student by generating course grades for each student. Based on the results of the black box test, the functional application of the thesis topic recommendation at the Management Study Program, Faculty of Economics, Dehasen Bengkulu University has been running properly and is able to display the results of the thesis topic recommendation for each student through the stages of the SAW method.
Implementation Of The Multi Objective Optimization Method On The Basis Of Ratio Analysis (Moora) In Determining The Procurement Of Goods At The General Bureau Of The Government Bengkulu Province Nanda Pratama Putra; Yupianti Yupianti; Devi Sartika
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.v3i2.1503

Abstract

Procurement is an activity related to the fulfillment/provision of resources (goods or services) in a particular project organized by a company. Conventional procurement is considered to have several disadvantages, such as the ease of Corruption, Collusion, and Nepotism (KKN) to develop and lack of transparency. Conventional procurement also takes a long time so that it is seen as a waste of time and money, lack of information and unfair competition. Alternatives that can be done to solve procurement problems by using information technology Decision Support System (SPK) with the Multi-Objective Optimization on The Basic of Ratio Analysis (MOORA) method. The results of the tests that have been carried out obtained have ranked the companies that will be recommended to procure goods at the General Bureau of Bengkulu Province. The use of MOORA is able to analyze and provide recommendations in Goods activities.
Website design and implementation Foundation insan madani center Annisa Arsy Tiara; Khairil Khairil; Devi Sartika
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.v3i2.1556

Abstract

The design and implementation of this website aims to create information media for the public to obtain information about Insan Madani Center Foundation. This research uses research and development (R&D) method which is used to produce a website product and test the effectiveness of the website. The steps used are data collection, product design then validating the design, website testing and website implementation. The implementation of this website itself used framework code igniter for web application network to build dynamic PHP applications and for the database using MySQL. Based on the trial results of this research, website application for Insan Madani Center Foundation can be built as an information media and can be accessed online with the domain merdekainsanic.org.
Data Mining, Decision Tree, C4.5, Community Satisfaction Index Doan Sefriyansyah; Sapri Sapri; Desi Mahdalena; Devi Sartika
Jurnal Media Computer Science Vol 5 No 3 (2026): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i3.11541

Abstract

This study aims to apply a data mining method based on the C4.5 Decision Tree algorithm to classify the Public Satisfaction Index (PSI) regarding services at the Central Aceh District Attorney’s Office. Until now, the data from the CSI questionnaires collected has not been optimally utilized because it has only been processed using average calculations, thus failing to provide in-depth information regarding patterns of public satisfaction. The C4.5 Decision Tree method was used because it is capable of producing a classification model that is easy to understand and can identify the service attributes that most influence the level of public satisfaction. The data used in this study were derived from questionnaire results based on seven criteria: service procedures, service information, processing time, staff competence, technological facilities, complaint handling, and integrity. The results indicate that the C4.5 algorithm can be effectively applied to classify levels of public satisfaction and generate decision trees that serve as a basis for evaluation and decision-making.
Implementation of the Additive Ratio Assessment (ARAS) Method for Evaluating Company Leadership Performance Devi Sartika; Venny Novita Sari; Ila Yati Beti
International Journal of Artificial Intelligence Research Vol 7, No 1.1 (2023)
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v7i1.1.1710

Abstract

Evaluating the performance of company leaders is an important process in determining leadership effectiveness and organizational success. Performance assessments that rely on subjective judgments often lead to less accurate decision-making results. Therefore, a systematic and objective decision-making method is required. One method that can be used is the Additive Ratio Assessment (ARAS) method. ARAS is a multi-criteria decision-making method used to determine the best alternative based on the utility value obtained from each evaluation criterion. This study aims to implement the ARAS method in a decision support system to evaluate the performance of company leaders. The research process involves several stages, including determining evaluation criteria, assigning weights to the criteria, normalizing the decision matrix, calculating optimal values, and determining utility values. The criteria used in this study include leadership, decision-making ability, communication, responsibility, and organizational performance. The results of the study indicate that the ARAS method can provide objective and systematic evaluation results in determining the best leadership performance. With the implementation of a decision support system based on the ARAS method, companies can obtain more accurate evaluation results that can be used as a basis for decision-making in leadership development and improving the quality of company management
IMPLEMENTASI ALGORITMA BYTE PAIR ENCODING UNTUK KOMPRESI FILE Ahmad Meidy Ruslida; Sapri Sapri; Devi Sartika
Jurnal Media Infotama Vol 18 No 2 (2022): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v18i2.2716

Abstract

ABSTRACT Data compression is a field that focuses on forming a small output file from a large file. The need for compression has given birth to several methods that can be implemented in communication activities on the network as well as on storage activities. The byte pair encoding algorithm is a compression algorithm that takes advantage of the emergence of repeated or frequent character byte pairs. The repeating character byte pairs are in the data and are substituted with a wildcard byte where the wildcard byte is not in the character byte series of the file. One of the well-known compression methods is the byte pair encoding compression method. The implementation of the system uses the Visual Basic 2010 programming language and the method used in this research is an applied research method. Keywords: Compression, Byte Pair Encoding, Document.
Implementasi Metode Additive Ratio Assessment (Aras) Untuk Seleksi Siswa Berprestasi Smk Negeri 2 Kota Bengkulu Eko Febrianto; Indra Kanedi; Devi Sartika
Jurnal Media Infotama Vol 18 No 2 (2022): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v18i2.2998

Abstract

Abstract :The data processing process at the Bengkulu City 2 State Vocational High School to select and select outstanding students still uses the manual method. ). The ARAS method is a method based on the intuitive principle that alternatives must have the largest ratio to produce an optimal solution. The ARAS method performs ranking by comparing the value of each criterion on each alternative by looking at the weights of each to obtain the ideal alternative. In the ARAS method, the value of the utility function that determines the complex relative efficiency of feasible alternatives is directly proportional to the relative effect of the value and weight of the main criteria considered for determining the best alternative. From this research, it can be concluded that the student on behalf of Benny Irawan is declared as an outstanding student with a ranking value of 0.894
Klasifikasi Data Karyawan Outsourcing Berdasarkan Penempatan Menggunakan Metode Naive Bayes Pada PT. Solusi Gemilang Persada Fauzan Latief Mukmin; Yupianti Yupianti; Devi Sartika
Jurnal Media Infotama Vol 20 No 2 (2024): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i2.6575

Abstract

PT Solusi Gemilang Persada is one of the companies providing outsourced employee services in Bengkulu City. In this company, every 3 months a performance evaluation will be carried out on outsourced employees based on placement to determine whether the outsourced employee will have his contract extended or not. Classification of outsourced employee data based on placement using the Naive Bayes Method at PT. Solusi Gemilang Persada, can help facilitate the company in managing outsourced employee data and assessing the performance of outsourced employees and can help the company in providing recommendations for each outsourced employee whether the contract is extended or not extended based on the classification results. From the amount of test data used as much as 10 outsourced employee test data, the classification results show that the classification of the extended contract class is 8 (eight) outsourced employees, and the classification of the non-extended contract class is 2 (two) outsourced employees. Based on system tests that have been carried out, it can be concluded that the functional classification application of outsourced employee data based on placement using the naive bayes method at PT. Solusi Gemilang Persada has run well and is able to provide classification results for each outsourced employee performance assessment.
Penerapan Data Mining Dalam Pengelompokan Data Nilai Siswa SMA Negeri 7 Kota Bengkulu Menggunakan Metode K-Means Clustering Achmad Rudi Antoni; Devi Sartika; Dimas Aulia Trianggana
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.8101

Abstract

SMA Negeri 7 Kota Bengkulu is one of the State Senior High SchoolsState Senior High School located in Bengkulu City which has a commitment to in developing student potential. So far, data processing of student grades for each subjects have used e-report cards and the report card data can be exported to a Microsoft Excel file. exported into a Microsoft Excel file. However, the student grade data is data is often only stored as an archive without any further analysis to find out to find out information about patterns or trends in student achievement. At where this can help the school in providing guidance and optimizing the academic potential of each student at SMA Negeri 7. optimize the academic potential of each student at SMA Negeri 7 Bengkulu City based on the level of student achievement. Bengkulu City based on student achievement levels. Application of data mining in grouping data grades of SMA Negeri 7 Bengkulu City students using the K-Means Clustering Method is built desktop-based with the Visual Basic .Net programming language. Visual Basic .Net programming language, The application of data mining in grouping data in clustering student grades of SMA Negeri 7 Bengkulu City is carried out per student subject with subject value attributes and attendance percentage. The application of data mining in clustering student grade data of SMA Negeri 7 Bengkulu City can help in knowing the level of achievement of students of SMA Negeri 7 Bengkulu City. Bengkulu City can help in knowing the level of student achievement in each subject and can be used as an evaluation material to improve the level of student achievement in each subject. subjects and can be used as evaluation material to improve the achievement of students who are at low achievement levels. who are at a low level of achievement.
Co-Authors Achmad Rudi Antoni Agung Pradana Ahmad Asyhari Ahmad Meidy Ruslida Alviyan Sahadi Annisa Arsy Tiara Anton Saputra Artika Sari Devi Asnawati Asnawati Aziz Zurahman Bimo Restu Putra Desi Mahdalena Devri Aryansyah Dewi Suranti Dimas Aldi Prandika Dimas Aulia Trianggana Dimas Aulia Trianggana Doan Sefriyansyah Dwi Krismo Putra Edo Alwis Eko Febrianto Eko Suryana Farhaan Fadhlurrahman Fauzan Latief Mukmin Feri Hari Feri Feri Saputra Firdhan Satriawan Sakti Haggy Sandy Prayogy Herlin Herlin Herlina Latipa Sari Ila Yati Beti Intan Permata Sari Jefry Thomas Juju Jumadi Jusuf Wahyudi Kanedi, Indra Kanedi Khairil Khairil Lidya Anggraini Liza Yulianti Lois Kapirosi Lydia Margaretha M. Iqbal Syahputra Muhammad Baluqiah Al Ghazali Musa Alhadi Pulungan Nanda Eka Juniawan Nanda Pratama Putra Prahasti Rahmat Hidayat Ricky Zulfiandri Riki Sumansyah Riko Mandala Putra Sapri Sapri Siswanto Siswanto Siswanto Sri Narti Tengsi Mayang Nopita Sari Tri Ramadani Venny Novita Sari Wahyu Rizki Rasuanto Yoli Andi Rozzi Yupianti, Yupianti