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All Journal Jurnal Media Infotama JurTI (JURNAL TEKNOLOGI INFORMASI) Jurnal Sistem Komputer dan Informatika (JSON) GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Indonesian Journal of Engineering Research Jurnal Komputer, Informasi dan Teknologi Jurnal Media Computer Science
Rizka Tri Alinse
UNIVERSITAS DEHASEN BENGKULU
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Energy Environmental Science Industrial & Manufacturing Engineering Mechanical Engineering

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Satisfaction Assessment System With Servqual Method At Betungan Urban Village Office M. Afif Alfuadi; Sapri Sapri; Rizka Tri Alinse
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (576.141 KB) | DOI: 10.37676/jmcs.v1i2.2689

Abstract

The community satisfaction index (IKM) is a measure of the assessment given by the community to the government for the services that have been provided. This is stated in the regulation of the Minister of PAN-RB No. 14 of 2017 concerning Guidelines for Compiling a Community Satisfaction Survey for Public Administration Units. The community satisfaction index analysis should always be carried out periodically so that it can be seen that the community's satisfaction with the services provided, especially at Betungan Urban Village Office. But in reality, so far, the Urban Village Office does not have a benchmark that is used as a forum to determine community satisfaction with these services. The service satisfaction assessment system at the Betungan Urban Village Office was created using the PHP programming language and MySQL database. This satisfaction assessment system can be accessed online via the link http://afif.vad.my.id, so that it can make it easier for the public to provide service satisfaction assessments. In helping the analysis of the service satisfaction assessment, this application has applied the Servqual Method where the assessment is divided into 2 parts, namely perceptions and expectations. In addition to this satisfaction assessment system, there are 2 application interfaces, namely administrators and people who have different functions. Based on the tests that have been carried out, the results show that the functionality of the application runs as expected
Application Of Study Time Prediction Management Study Program Faculty Of Economics Dehasen University Bengkulu Using Naive Bayes Method Dzaki Muhammad Alwan; Dewi Suranti; Rizka Tri Alinse
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (708.696 KB) | DOI: 10.37676/jmcs.v1i2.2692

Abstract

The Management Study Program is one of the Strata 1 (S-1) study programs located at the Faculty of Economics, Dehasen University, Bengkulu. Students who graduate with a study period of 7 semesters to less than 8 semesters, 8 semesters and more than 8 semesters have different grades. The success of students completing their study period cannot be separated from the factor of the study plan prepared by the Head of the Study Program. The number of students who will conduct consultations on study plans, makes the study program overwhelmed and requires quite a lot of time to help provide information on the future of study. Therefore, we need a system that can help provide recommendations for predicting the results of the study period for each student automatically. The application for predicting the study period of students in the Management Study Program, Faculty of Economics, University of Dehasen Bengkulu, was created to help provide recommendations for predicting study period results for each student automatically by applying the Naive Bayes Method. The classification is divided into 3 parts, namely students who graduate early (7 semesters to less than 8 semesters), students who graduate on time (8 semesters) and students who graduate not on time (more than 8 semesters). Based on student grade data in 2019, the results of the prediction for the study period of 30 students were obtained, namely 22 people graduating faster, 2 people graduating on time, and 6 people graduating not on time..
The Implementation Of Apriori Algorithm Methods For Predicting Project Material Purchases At CV. Padat Karya Konstruksi Nadia Elisa Suhardi; Maryaningsih Maryaningsih; Rizka Tri Alinse
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 2 No. 1 (2022): JUNI
Publisher : Penerbit ADM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.792

Abstract

In predicting the purchase of goods, there are many methods that can be used, among others, by processing purchase data using Data Mining method accompanied by Priori Algorithm based on the purchasing process carried out by the company based on the relationship between the goods purchased. By using the a priori algorithm, the company in this case is CV. Padat Karya Konstruksi can estimate the number of building materials needed by workers this is due to the large number of goods purchases at CV. Padat Karya Konstruksi to match the work. The stages of the a priori algorithm used are data transformation in tabular table form, determining the minimum value of support and minimum confidence, formation of 1-item set candidate combination pattern then counting the number of occurrences in each item set. So that it is obtained from 17 (seventeen) data, items that are often purchased are cement as much as 11 (eleven) times, split stone 8 (eight) times, and concrete sand as much as 8 (eight) times with a support value of 25% and a confidence value of 75%.
Clustering Sales Patterns of Best Selling and Less Selling Products at El Jhon Bengkulu Stores Using the K-Medoid Method Agung Laksono Ridwan; Siswanto Siswanto; Rizka Tri Alinse
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit ADM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.1048

Abstract

The clustering application of the best-selling and less-selling product sales patterns at the El Jhon Bengkulu Store can provide information on the best-selling and less-selling product sales patterns as a basis for consideration in product inventory management at the El John Store. Based on 40 total product sales and inventory data in April 2022, the results obtained that 9 data entered cluster C1 (22.5% best selling products) and 31 data entered C2 cluster (77.25% less selling products). Based on the results of the tests that have been carried out, the functionality of the product inventory is running well as expected, and can provide information on the results of product data clustering into 2 groups, namely Best Selling and Less Selling
A Comparison Analysis Of Ahp And Topsis Methods In The Selection Of Outstanding Students At Smp Negeri 5 Kaur Of Bengkulu Province Dewi Murniati; Asnawati Asnawati; Rizka Tri Alinse
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v1i2.2704

Abstract

The number of decision support system methods makes it difficult for decision makers to determine which method is better to use in a case. In this case is the selection of outstanding students at SMP Negeri 5 Kaur of Bengkulu Province. The decision support system method taken for comparison is AHP and TOPSIS methods. In helping the comparison process, an application for selecting outstanding students at SMP Negeri 5 Kaur of Bengkulu Province was built using the Visual Basic.Net programming language and SQL Server 2008r2 database. A comparative analysis is done by looking at 2 aspects, namely the final result of the assessment and the processing time. Based on the final results of the assessment, AHP and TOPSIS methods have different results, this is because there are differences in determining the weight of the criteria, where AHP method is obtained from the results of pairwise comparisons while TOPSIS method is obtained from the school. Based on the processing time, AHP method is faster than TOPSIS method, this is because the stages in the AHP method process are fewer than the TOPSIS method
Application Of The Preference Selection Index And Method K-Means Clustering Method In Sales Product ( Case Study Of Ocha Cell Store) Muhammad Anugrah; Herlina Latipa Sari; Rizka Tri Alinse
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v1i2.2705

Abstract

The ocha cell shop is one of the shops engaged in the sale of mobile phones of various brands of mobile phones, the store has not used a special application in processing the products sold, but still uses manual data processing such as recording in a book. So that there is a accumulation of data that is not known for its benefits. One method that can solve this problem is the psi method and the k-means clustering method, because the psi method and the k-means clustering method are methods for solving multiple decision-making criteria, this method is useful if there is a conflict in determining the relative between attributes, so later on the final result of the calculation is that ranking is carried out by analyzing data on sales of goods that are in demand and not selling and the algorithm is partitional by using the value process repeatedly to get the value of the cluster database, it takes the desired number of initial clusters to produce the final ceteroid point as output. With this method, it helps store management to find out which cellphones are often sold and each time a transaction can later help in overcoming existing problems.
Designing An Educational Game To Recognize Human Body Organs And The Functions For V-Grade Children Of Sdn 18 In South Bengkulu Using Construct 2 Rahma Safitrah; Siswanto Siswanto; Rizka Tri Alinse
Jurnal Media Computer Science Vol 2 No 2 (2023): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v2i2.4435

Abstract

Education is a very important thing for the progress of a nation. Success in the field of education will give birth to superior and competitive human resources. The learning process is an effort that can improve the quality of human resources that we can get at school. But there are still many schools today which in their learning process are still conventional or still use books. The learning process like this has many drawbacks, one of which is that students will get bored easily and find it difficult to understand the material. In the current era of advanced technology, there are many technologies that can be used as media in the learning process to replace the role of books, one of which is games. By using educational games as learning media for the introduction of human organs, the learning process will be more interesting and interactive. This research uses the Multimedia Development Life Cycle (MDLC) method in the process of making this game. With games as a learning medium, students will not get bored easily because they can learn while playing. Based on the results of the questionnaire from 16 respondents, the feasibility level of the game was 76.56% or in the acceptable category. Based on the tests conducted, it can be concluded that this educational game can help students at SDN 18 of South Bengkulu learn about human organs in a more enjoyable way.
Designing A Computer Network Monitoring System With Sms Notification Using The Dude Riki Irawansyah; Khairil Khairil; Rizka Tri Alinse
Jurnal Media Computer Science Vol 3 No 1 (2024): Januari
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v3i1.5327

Abstract

One system that can monitor networks with notifications in the form of SMS is using The Dude. This network monitoring system with SMS Notification aims to enable network admins to know the condition of the network wherever they are.In monitoring the network, the dude can do it based on the IP address entered, the dude is open source, that is, it is one of the software or tools built into the proxy, in the installation process the dude does not require a large storage space. When monitoring the Dude's network, the indicator will display green, which is on and red, which is off. To monitor the Dude's network, it will be based on the IP Address of each device connected to the network.The Dude can carry out network monitoring on the SMA N 6 South Bengkulu computer network in the form of notifications of devices being on or off. The results of the monitoring will be sent in the form of a notification to the admin's cellphone in the form of an SMS. To send an SMS notification, the dude takes +/- 2 minutes. The time for sending this SMS notification is calculated based on the condition of the device being on or off until the notification is received or received. on HP.
Co-Authors Agung Laksono Ridwan Arius Satoni Kurniawansyah Asnawati Asnawati Dewi Murniati Dewi Suranti Dzaki Muhammad Alwan Felic Valentino Feri Hari Utami Fredricka, Jhoanne Herlina Latipa Sari Khairil Khairil Leni Ekasari Lola Eris Monika M. Afif Alfuadi Maryaningsih Maryaningsih Muhammad Anugrah Nadia Elisa Suhardi Rahma Safitrah Riki Irawansyah Rina Julita Sahlino Sahlino Sallaby, Achmad Fikri Sapri Sapri Siswanto Siswanto Venny Novita Sari Yupianti, Yupianti