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All Journal Jurnal Media Infotama International Journal of Artificial Intelligence Research JurTI (JURNAL TEKNOLOGI INFORMASI) Jurnal Sistem Komputer dan Informatika (JSON) GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Indonesian Journal of Engineering Research Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Jurnal Dehasen Mengabdi Jurnal Komputer, Informasi dan Teknologi
Rizka Tri Alinse
UNIVERSITAS DEHASEN BENGKULU
Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mechanical Engineering Public Health Social Sciences Other

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Penerapan Kecerdasan Buatan Untuk Deteksi Trafik Jaringan Tidak Wajar Berbasis Phyton Jurusan Teknik Jaringan Komputer Jusuf Wahyudi; Ahmad Asyhari; Rizka Tri Alinse; Wahyu Hidayat; Kharien Eka Putri
Jurnal Dehasen Untuk Negeri Vol 3 No 2 (2024): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jdun.v3i2.11099

Abstract

This community service activity is motivated by the gap in students’ understanding of information technology developments, particularly in network security and artificial intelligence. The purpose of this activity is to provide education on the application of artificial intelligence to detect abnormal network traffic and to enhance students’ readiness in facing technological advancements. The method used is interactive socialization and education through presentations, discussions, and question-and-answer sessions. The activity was conducted through preparation, implementation, and evaluation stages. The results indicate an improvement in students’ knowledge and understanding of network technology and artificial intelligence. In addition, participants showed high enthusiasm during the activity, as reflected in active participation and numerous questions raised. This activity also had a positive impact on increasing students’ motivation to learn more about information technology. Therefore, this program contributes to reducing the digital gap and improving students’ competencies to better prepare them for challenges in the technological era.
The Use of Apriori Method in Forecasting the Number of New Students Lena Elfianty; Jhoanne Fredricka; Rizka Tri Alinse
International Journal of Artificial Intelligence Research Vol 8, No 1 (2024): June 2024
Publisher : Universitas Dharma Wacana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29099/ijair.v8i1.1709

Abstract

The development of information technology has significantly influenced many sectors, including education. Higher education institutions are required to manage and analyze data effectively in order to support decision-making processes. One of the challenges faced by universities is predicting the number of new students each academic year. The uncertainty in the number of applicants can affect academic planning, facility preparation, and marketing strategies carried out by the institution. This study aims to apply the Apriori method to analyze new student admission data in order to discover patterns and relationships within the data that can be used as a basis for forecasting the number of new students in the following academic year. The research method used includes data collection through observation, interviews, and literature study. The data used in this study are historical data of new student registrations from previous years.The analysis process is carried out using the Apriori algorithm to identify frequent itemsets and association rules based on support and confidence values. The results of the study indicate that the Apriori method is capable of identifying patterns and relationships among variables in the new student registration process. The information generated from this analysis can assist universities in developing more effective strategies for student recruitment and admission planning. By implementing a data mining approach using the Apriori method, educational institutions are expected to utilize their existing data to generate valuable information that supports strategic decision making and improves forecasting accuracy for new student admissions
Comparative Analysis Of Fuzzy Time Series And Double Exponential Smoothing Methods In Predicting Medicine Demand At Community Health Centers Aldo Zantohodi; Lena Elfianty; Rizka Tri Alinse
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.v5i3.12140

Abstract

Drug inventory management in primary health centers requires accurate forecasting to reduce stock-outs, overstock, and logistics inefficiency. This study compares Cheng Fuzzy Time Series (FTS) and Holt Double Exponential Smoothing (DES) for forecasting drug demand at Pajar Bulan Public Health Center. Using LPLPO data, 84 valid drug items were analyzed with January-December 2025 as training data and January-April 2026 as testing data. DES produced a lower MAE, but FTS achieved a better MAPE and was superior on 65.5% of items with valid MAPE. The results indicate that FTS is more robust for fluctuating active drug demand, while DES is suitable for more stable trend patterns.
Pemanfaatan Teknologi Kecerdasan Buatan Dalam Meningkatkan Prestasi Akademik Siswa Sekolah Menengah Atas Di SMA Negeri 9 Bengkulu Ahmad Asyhari; Rizka Tri Alinse; Fahrul Ikram Nizar; Yance Pransiska; Muhamad Bitang Firdaus
Jurnal Dehasen Mengabdi Vol 3 No 2 (2024): September-Februari
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jdm.v3i2.11080

Abstract

The development of information and communication technology has significantly influenced the education sector, particularly through the utilization of Artificial Intelligence (AI). This technology has great potential to improve the quality of learning and students' academic performance. This community service activity aims to increase students' understanding of the basic concepts of artificial intelligence and its application in supporting the learning process at SMA Negeri 9 Bengkulu. The implementation method used lectures, presentations, and discussion sessions with participants. The activity stages included an initial stage consisting of introductions and explanation of activity objectives, a core stage involving the presentation of materials related to artificial intelligence technology, and a final stage consisting of discussions and question-and-answer sessions. The results indicate that students gained better understanding of the development of artificial intelligence technology and its benefits in supporting academic activities. Furthermore, this activity increased students’ awareness of the importance of using technology positively in the learning process in the digital era.
Pembuatan Dan Pemanfaatan Blog Bagi Guru Pendidikan Agama Islam Bengkulu Tengah Hari Aspriyono; Herlina Latipa Sari; Rizka Tri Alinse; Riska Riska; Hendri Alamsyah
Jurnal Dehasen Mengabdi Vol 2 No 2 (2023): September-Februari
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jdm.v2i2.11082

Abstract

One web-based platform that can be utilized is a blog, which enables users to publish information, share learning materials, and communicate online. However, some teachers who are members of the Islamic Religious Education Teachers Working Group (KKG PAI) in Region III of Central Bengkulu Regency still face limitations in utilizing information technology, particularly in creating and managing blogs. This community service activity aims to provide training on creating and utilizing blogs as an information medium for Islamic Religious Education teachers. The implementation method includes several stages: needs analysis, system design, blog development, system testing, and blog usage training. The results indicate that the KKG PAI blog for Region III Central Bengkulu was successfully developed and can function as a platform for disseminating organizational information and sharing knowledge among teachers. In addition, the training activities improved teachers’ knowledge and skills in utilizing information technology to support educational activities and organizational communication.
Pengelompokan Barang Menggunakan Metode K-Means Clustering Berdasarkan Hasil Penjualan Di Toko Widya Bengkulu Achmad Fikri Sallaby; Rizka Tri Alinse; Venny Novita Sari; Tri Ramadani
Jurnal Media Infotama Vol 18 No 1 (2022): April
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v18i1.2126

Abstract

The Widya shop sells various kinds of hijab products that are tailored to the needs of fashion development. The Widya Bengkulu store also sells various kinds of women's needs such as clothes, accessories, bags, wallets, soft lenses, cosmetics and other fancy items. So far, Widya Store has not used computers as a data processing medium. All processes of selling goods and inventory of goods are still carried out with book records, and do not yet have an application that can help the process of managing the data of these goods. In addition, in managing inventory, Toko Widya only sees stock based on sales results, if the stock on one of the items runs out, an order will be made to the supplier. Implementation of the K-Means Clustering Method in Grouping Goods Based on Sales Results at the Widya Bengkulu Store was made using the Visual Basic .Net programming language and SQL Server 2008 database. In the Grouping of Goods Based on Sales Results at the Widya Bengkulu Store, it will be processed to seek knowledge from chunks of data, namely goods sales data. Cluster I is a Very Selling Item, Cluster II is a Self Selling Item, and Cluster III is a Less Selling Item. Based on the results of the tests that have been carried out, the application of Grouping Goods Based on Sales Results at the Widya Bengkulu Store can provide information on the best-selling items sold at the Widya Store.
Rancang Bangun Aplikasi Pemesanan Makanan Di Kedai Bakso Solo Mas Tulus Berbasis Android Dengan Metode Highest Ratio Next (Hrn) Tria Nova; Toibah Umi Kalsum; Rizka Tri Alinse
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.v18i2.2654

Abstract

ABSTRACT The Food Ordering Application at Kedai Bakso Solo Mas Tulus aims to change the ordering system that previously only used general applications to become special applications and provide the best to customers therefore customers get maximum service. To get the best service by using a special application using the Highest Ratio Next method, the order will be calculated based on the arrival of the order and the length of time the order is processed so that consumers who order with different arrival times and with different processing times will get a fair order completion time. For Kedai Bakso Mas Tulus, with this special application and with the Highest Ratio Next method, it will change the presentation process of orders that were made previously. Therefore, with the development of a Food Ordering Application at Kedai Bakso Solo Mas Tulus based on Android with the Highest Ratio Next (HRN) it can assist in the process of serving food orders made by consumers. This system can help Kedai Bakso Mas Tulus in determining the best food presentation quickly and precisely. Keywords: Food Ordering Application Design, HRN, Kedai Bakso Mas Tulus.
Penerapan Metode Smart Dalam Memilih Ekstrakurikuler Siswa Di SMA Negeri 08 Seluma Arliyan Arliyan; Sapri Sapri; Rizka Tri Alinse
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.v20i2.6565

Abstract

High school 08 Seluma has 7 (seven) extracurricular activities that students can choose, namely male volleyball, female volleyball, male futsal, female futsal, Paskibraka, Pramuka and Tahsin. In helping students to choose the appropriate extracurricular recommendations, there are assessment criteria consisting of 5 criteria, namely interest, talent, experience, parents’ permission and extracurricular achievement. The implementation of SMART Method in choosing extracurricular activities at High school 08 Seluma can help provide extracurricular recommendations for students that are appropriate and in accordance with student assessment criteria, and it can be used as a forum for managing extracurricular activity data at High school 08 Seluma. Based on the tests that have been carried out, the results show that the implementation of SMART method in choosing extracurricular activities at High school 08 Seluma has run well and in accordance with expectations and the application can provide information on the results of recommendations for selecting student extracurricular activities based on the score values that have been given.
Penerapan Metode Regresi Linear Dalam Prediksi Hasil Penangkapan Ikan Pada Dinas Kelautan Dan Perikanan Provinsi Bengkulu Gebi Andre Anto; Indra Kanedi; Rizka Tri Alinse
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.v21i1.7541

Abstract

Abstract— The Department of Marine and Fisheries of Bengkulu Province is one of the government agencies in Bengkulu Province. At the Department, every year data collection is carried out per semester of capture fisheries production that occurs in each regency / city in Bengkulu Province. The purpose of the research is to determine the predicted value of capture fisheries production in the coming year. The implementation of the linear regression method in predicting fishing yields at The Department of Marine and Fisheries of Bengkulu Province can help provide an estimated prediction of the amount of capture fisheries production in the following year based on the results of processing previous time series data through the Linear Regression Method. In addition, it can be used as an evaluation material for the Department of Marine and Fisheries of Bengkulu Province in making strategic plans (renstra), especially capture fisheries production. Based on the test data used, the results show that the prediction of the amount of fishing (marine fisheries) in the Regency / City of Bengkulu Province in 2024 is South Bengkulu Regency, 2726.3 Central Bengkulu Regency, 1663.62 North Bengkulu Regency, 7709.04 Kaur Regency, 8140.2 Bengkulu City, 44457.32 Muko-muko Regency, 19691.99 and Seluma Regency, 2633.8. It can be seen that the highest number of fishing products is Bengkulu City and the least is Central Bengkulu Regency from the results of prediction analysis using the linear regression method. Keywords: Linear Regression Method, Prediction, Fishing Result.
Penerapan Metode K-Means Dalam Pengelompokan Data Siswa Berdasarkan Masalah Akademik Di SMA Negeri Selangit Chindy Asher; Jhoanne Fredricka; Rizka Tri Alinse
Jurnal Media Infotama Vol 21 No 2 (2025): Oktober
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i2.9370

Abstract

Selangit State High School does not yet have a system that can help identify students' academic problems. Until now, the school has only manually recorded each student's disciplinary violations as a point system by observing the violations committed by students, and at the end of the semester, all violation points are calculated. However, this process takes a considerable amount of time, as each student's violation points must be calculated individually, resulting in a lengthy process to determine the appropriate sanctions for each student. The application of the k-means method in grouping student data based on academic issues at Selangit State Senior High School can help the school obtain more specific information regarding students' academic issues and can be used as a benchmark in assisting with evaluations and counseling for students grouped based on academic issues. Based on the test data used in the odd semester of the 2024/2025 academic year, involving 30 students who committed violations, the results showed that cluster C1 had 12 students with sanctions in the form of reprimands, cluster C2 had 10 students with written warnings, cluster C3 had 0 students with suspension warnings, cluster C4 had 5 students with disciplinary action, and cluster C5 had 3 students.
Co-Authors Agung Laksono Ridwan Ahmad Asyhari Aldo Zantohodi Arius Satoni Kurniawansyah Arliyan Arliyan Asnawati Asnawati Chindy Asher Dewi Murniati Dewi Suranti Dzaki Muhammad Alwan Fahrul Ikram Nizar Felic Valentino Feri Hari Utami Fredricka, Jhoanne Gebi Andre Anto Hari Aspriyono Hendri Alamsyah Herlina Latipa Sari Jusuf Wahyudi Kanedi, Indra Kanedi Khairil Khairil Kharien Eka Putri Lena Elfianty Leni Ekasari Lola Eris Monika M. Afif Alfuadi Maryaningsih Maryaningsih Muhamad Bitang Firdaus Muhammad Anugrah Nadia Elisa Suhardi Rahma Safitrah Riki Irawansyah Rina Julita Riska Riska Sahlino Sahlino Sallaby, Achmad Fikri Sapri Sapri Siswanto Siswanto Toibah Umi Kalsum Tri Ramadani Tria Nova Venny Novita Sari Wahyu Hidayat Yance Pransiska Yupianti, Yupianti Zashosudi Shoranto