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All Journal PROCESSOR Jurnal Ilmiah Sistem Informasi, Teknologi Informasi dan Sistem Komputer Jurnal Computer Science and Information Technology (CoSciTech) Jurnal Abdimas Serawai Jurnal Komputer, Informasi dan Teknologi Jurnal Sistem Informasi Dan E-Bisnis
Eka Sahputra
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Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Nursing Public Health Social Sciences

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Aplikasi Kamus Bahasa Lembak Bengkulu Berbasis Android Menggunakan Algoritma Raita Nindyawati Nindyawati; Rozali Toyib; M Husni Rifqo; Eka Sahputra
Jurnal Sistem Informasi dan E-Bisnis Vol 3, No 2 (2021): Juli
Publisher : JUSIBI (Jurnal Sistem Informasi dan E-Bisnis)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (652.899 KB)

Abstract

Penggunaan Bahasa Lembak dalam kehidupan sehari khususnya suku Lembak sendiri semakin luntur akibat pengaruh globalisasi bahasa asing dan kurangnya perhatian orang tua dalam membudidayakan anak dan keturunannya, sehingga tidak mampu menguasai bahasa leluhurnya. Untuk mempercepat proses pencarian kosakata pada aplikasi kamus berbasis android maka diperlukan sebuah algoritma Raita yaitu salah satu metode dalam pencarian dengan mencocokan pola kata dari sebuah string dengan pola kata yang ingin dicari. Dengan menggunakan algoritma Raita waktu yang dibutuhkan untuk pencaraian terjemahan bahasa Indonesia ke lembak dan sebaliknya hanya sedikit dan dapat berlangsung dengan cepat.
Penerapan Metode Monte Carlo pada Simulasi Prediksi Jumlah Calon Mahasiswa Baru Universitas Muhammadiyah Bengkulu Yovi Apridiansyah; Ringgo Dwika Putra; Eka Sahputra
Jurnal Processor Vol 17 No 2 (2022): Processor
Publisher : LPPM Universitas Dinamika Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33998/processor.2022.17.2.1224

Abstract

Dengan adanya sistem simulasi prediksi jumlah mahasiswa baru ini, diharapkan dapat memprediksi jumlah mahasiswa baru yang masuk pada setiap tahun kedepan nya. Menerapkan metode Monte Carlo dan juga menerapkan aplikasi simulasi prediksi dapat mempermudah dalam menentukan jumlah penerimaan mahasiswa baru pada Universitas Muhammadiyah Bengkulu. Pengumpulan data yang dilakukan dengan cara obeservasi secara langsung ke objek dengan mengambil sampel data yang sudah ada di tahun 2015 – 2019. Dalam penelitian ini digunakan metode monte carlo untuk prediksi calon mahasiswa baru. Tujuan dari penelitian ini untuk mengetahui jumlah calon mahasiswa baru, yang diharapkan hasilnya dapat memberikan informasi dan masukan bagi pihak perguruan tinggi dalam membuat kebijakan kedepannya. Dari hasil pengujian ini didapatkan hasil bahwa dengan menerapkan metode monte carlo dapat memprediksi jumlah calon mahasiswa baru, dengan metode monte carlo dan tingkat akurasi sebesar 92.49 %.
Miniature Design of Liquid Filling Machine Automatically Using ESP32 Based IOT (Internet of Things) Ariski Munandar; Nuri David Maria Veronika; Dedy Abdulllah; Eka Sahputra
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 3 No. 1 (2023): Juni
Publisher : Penerbit ADM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i1.1185

Abstract

This study aimed to design automatic liquid filling on miniature machines to make it easier to use by making volume control innovations on automatic liquid filling machines, and design an IOT system for filling automatic liquid machines by using esp32. The data collection method of this study was literature or literature studies. The data processing of this study was qualitative processing of performing data centering. Presentation of data was done in order to easily draw conclusions and take further action. The overall discussion of the tool was the final test after all components run smoothly. The components were placed based on the function of each component so that the tool can look neater and function properly. As an application for testing ESP32 microcontrollers, push buttons, ultrasonic sensors, and relays. The tool released liquid when the push button was pressed according to the desired volume selection. The overall test was carried out with 2 variations of liquid volume, namely 350 ml and 450 ml. The result of testing the liquid output from the tool show that from the 350 ml volume test which was the output of the push button/button 1. It can be seen from the results of measurements by using a measuring cup which was not much different from the setpoint of 350 ml and had a liquid filling time of about 7 seconds out of 10 experiments. It means that the input button 1 with a setpoint of 350 ml is successful and very close to the setpoint given. The test results for a volume of 450 ml which is the output of push button / button 1. It can be seen that the results of measurements by using a measuring cup are not much different with a setpoint. of 450 ml and a liquid filling time of about 9 seconds out of 10 experiments. Based on the results of the study can be concluded that from the input button 1 with a setpoint of 450 ml is successful and very close to the given setpoint. The liquid that has been using the manual method. The liquid volume control innovation is designed by using two push button buttons. With one push button for 350 ml liquid variations and another push button for 450 ml liquid variations. The IoT monitoring works well by using an ultrasonic sensor as a liquid level meter and the blynk application as a liquid level display.
Application Of Data Mining Using The Naïve Bayes Classification Method To Predict Public Interest Participation In The 2024 Elections Marcelina Novi Zarti; Eka Sahputra; Anisya Sonita; Yovi Apridiansyah
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 3 No. 1 (2023): Juni
Publisher : Penerbit ADM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i1.1192

Abstract

A big data processing process using a Data Mining technique that will be used in a study in the Application of Data Mining Using the Naïve Bayes classification to predict the participation of the Public Interest in the 2024 election. The data was obtained from the General Election Commission (KPU). The data was tested using the Naïve Bayes classification method with Weka Tools and 7 predetermined attributes. The dataset was taken as much as 96.67% of 11,406 training data, namely 2014 election data and 99.90% of 11,908 testing data, namely 2020 election data. Results It is known that the number of participants in Central Bengkulu Regency for the 2024 election based on participant data in 2020 and the 2014 election results is likely to increase by up to 3.23%, from 96.67% per 11,406 participants to 99.90% per 11,908 participants and the results predictions are likely to increase.
Interactive Multimedia Introduction To 3D Animation-Based Body Management Procedures For Muhammadiyah 1 Elementary School Students Bengkulu City Heru Franata; Eka Sahputra; Ardi Wijaya; Marhalim
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 3 No. 1 (2023): Juni
Publisher : Penerbit ADM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v3i1.1194

Abstract

This research was conducted in order to be able to further assist teachers in providing material related to procedures for managing corpses based on 3D animation. In this study the authors used empirical methods, in which data collection was carried out in several steps, namely: Observation and Library Studies. In addition, the system design has 2 (two), namely: First Marker Check (Washing the Body) and Initialization. Then there are 4 (four) paths in application design, namely: Interface Design, Splashscreen Menu, Main Menu, Prayer Movement AR Menu. And the last one is testing, where testing of the process book augmented reality application for children is carried out. Before the application is tested on users, it is first carried out using the white box testing method, testing the application on devices with the Android operating system. From this study it can be concluded that the stages involved in developing a 3D multimedia in the form of augmented reality consist of the process of modeling, texturing, ringing, animation, rendering, making APKs. The results of the animation making process are then arranged in a single unit using vuforia and unity so as to produce a 3D animation-based corpse management movement guide application.
Pelatihan Pengoperasian Microsoft Word dan Microsoft Excel Bagi Perangkat Desa dan Remaja di Desa Simpang Ketenong Kecamatan Kerkap Kabupaten Bengkulu Utara Khairullah; Eka Sahputra; Erwadi, Yetman
JURNAL ABDIMAS SERAWAI Vol. 3 No. 3 (2023): Jurnal Abdimas Serawai (JAMS)
Publisher : Program Studi Administrasi Fakultas Ilmu Sosial dan Ilmu Politik Universitas Muhammadiyah Bengkulu 

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jams.v3i3.5806

Abstract

Simpang Ketenong Village, Kerkap District, is classified as a self-sufficient village, with the characteristics that it has started using communication tools and technology, is not isolated and has fairly smooth traffic routes between villages and cities. (Saputera et al., 2021) Service is a process, this process produces a product in the form of a service, which is then provided to customers. Good service will also have a good impact on customers in the form of customer satisfaction, in line with findings in the field that the local village community and youth have begun to understand the importance of technology for convenience in daily work and can even support careers in the future. Along with the current development of communication technology, it has also encouraged village officials and youth in Simpang Ketenong village to be able to understand and operate computers to make work easier, both for village administration and other needs. Referring to the situation analysis above, the service team together with partners justified that the priority problems experienced by partners and the priorities agreed to be resolved were related to: the lack of skill of village officials and Simpang Ketenong Village Youth in operating computers, especially in typing and lack of understanding of how to use them. excel. Through this PKM program the team wants to contribute to providing skills to village officials and youth in the Simpang Ketenong Village area, Kerkap District, North Bengkulu Regency to be proficient in using Microsoft Word and Microsoft Excel applications. Based on the partner's problems, the solution that will be provided in this activity is to hold Microsoft Word and Microsoft Excel Operation Training, then an evaluation will be held of village officials and local teenagers will be able to be competent in the training process that has been carried out. The targets of this Community Service are time efficiency during service, reducing data errors in reporting the performance of village officials, being able to store village databases simply, increasing knowledge for village officials and youth so that they can learn about information systems through computer media.
Analisis sentimen publik terhadap calon presiden 2024 di instagram menggunakan metode naïve bayes Tamara Cindy Samsita Rani; Eka Sahputra
Computer Science and Information Technology Vol 5 No 3 (2024): Jurnal Computer Science and Information Technology (CoSciTech)
Publisher : Universitas Muhammadiyah Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In this research, an analysis of public sentiment towards presidential candidate pairs in Indonesia in 2024 was carried out via the social media Instagram. Indonesia itself is one of the countries with the highest number of Instagram users. One of the Instagram posts that is currently in the public spotlight found on the kompascom, najwashihab, and detikcom accounts which post news about the 2024 presidential candidate pairs. In these comments there are various kinds of comments ranging from positive things such as support to negative things such as commenting on the shortcomings of each candidate pair, for this reason text classification is carried out to find out public opinion about the presidential candidate pair. The comment classification process in this research uses the Naïve Bayes algorithm to determine positive, neutral and negative values from thousands of comments. The method that will be applied uses the Python programming language with confusion matrix testing to determine the level of accuracy in the model. Based on the test results, it can be concluded that the use of the Naïve Bayes algorithm used as a classification method in comment-based sentiment analysis on Instagram has a relatively good accuracy rate with an average accuracy of more than 60%.
Co-Authors Apridiansyah, Yovi Ariski Munandar Dedy Abdulllah Heru Franata Khairullah M Husni Rifqo Marcelina Novi Zarti Marhalim Nindyawati Nindyawati Nuri David Maria Veronika Ringgo Dwika Putra Rozali Toyib Sonita, Anisya Tamara Cindy Samsita Rani Wijaya, Ardi Yetman Erwadi