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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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Implementasi Algoritma Rivest Shamir Adleman Untuk Keamanan Pesan Teks Haggy Sandy Prayogy; Indra Kanedi; Devi Sartika
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.v21i2.9234

Abstract

Security is a set of procedures, steps, and policies to prevent and monitor unauthorized access, problem solving, disclosure, and disruption of computer data communication. Data or message security can be achieved using cryptography. Cryptography is an important component for communication and information transmission through security services. Cryptography is both an art and a science that produces secret messages. One cryptographic method that can be utilized is RSA method. RSA is an asymmetric cryptographic method that operates in block mode and requires two different keys for the encryption and decryption processes. The advantage of this algorithm is that its difficulty lies in factoring non-prime numbers into their prime factors. The results of the tests conducted show that RSA algorithm can provide additional security for files by using different keys during the encryption and decryption processes. This is because the text data owned by the user will be encrypted and replaced with a series of numbers that do not represent the content of the original data.
Penerapan Metode Wieghted SUM Model (WSM) Dalam Pengajuan Cuti Pegawai Rumah Sakit Bhayangkara Bengkulu Lidya Anggraini; Dewi Suranti; Devi Sartika
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.v21i2.9338

Abstract

Bhayangkara Hospital Bengkulu is one of the privately owned public hospitals and is one of the type C hospitals in the Bengkulu region. Bhayangkara Hospital provides services in the field of leave applications to employees who want to apply for leave. So far, the employee leave application system is still manual and through a process that is not fast enough, where employees must seek approval from the hospital director and then submit the leave application form provided, therefore this leave application still cannot provide an opportunity for employees to apply for leave online. The decision support system (SPK) for leave applications using the Weighted Sum Model (WSM) method can be accessed online with internet access via the web link: https: //cutipegawairsbhayangkarabkl.online/. This decision support system application was created using the PHP programming language and MySQL database. The application has embedded the Weighted Sum Model (WSM) method which is used to apply for annual leave based on the criteria taken by employees. This application can assist in making decisions in applying for leave, employees can access the application starting from entering the Username and password to getting the results of the leave application whether the leave is accepted or not. Based on system testing that has been carried out, it can be concluded that the functional of the application has run well and this decision support system can provide results for leave applications based on the values and weights taken from employee criteria through the stages of the Weighted Sum Model (WSM) method.
Perbandingan Metode Simple Additive Weighting Dan Metode Composite Performance Index Dalam Sistem Pendukung Keputusan Kelayakan Bantuan Pupuk Subsidi Untuk Kelompok Tani Rahmat Hidayat; Yupianti Yupianti; Devi Sartika
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.v21i2.9371

Abstract

Decision Support System (SPK) is a system used to assist decision making in an organization or company. The development of a decision support system with the Simple Additive Weighting (SAW) method and the Composite Performance Index (CPI) method to determine the beneficiaries in determining the distribution of fertilizer assistance to farmer groups, and can minimize the inaccuracy in distributing the fertilizer assistance by applying the Simple Additive Weighting method and the Composite Performance Index method. This system is expected to help the government to determine the right recipient of fertilizer assistance, and be able to provide accurate and consistent recommendations, and increase transparency in the selection process. With this system, it is expected that the process of providing subsidized fertilizer assistance can run more fairly, efficiently, and on target.
Sosialisasi Hukum Tentang Kdrt Bersama Ibu-Ibu Pkk Rt 16 Rw 05 Kelurahan Sawah Lebar Intan Permata Sari; Riki Sumansyah; Devri Aryansyah; Artika Sari Devi; Bimo Restu Putra; Herlin Herlin; Devi Sartika; Lydia Margaretha
Jurnal Karya Nyata Pengabdian Vol. 2 No. 2 (2026): April
Publisher : Utami Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jknp.v2i2.575

Abstract

Domestic violence (DV) is a social problem that persists frequently in society, particularly against women and children. Lack of understanding of the law and protection of victims of domestic violence leads to many cases going unreported and continuing to recur. This DV legal outreach activity aimed to increase the understanding of the Family Welfare Movement (PKK) women in RT 16 RW 05, Sawah Lebar Village, regarding the forms of domestic violence, their impacts, and legal protection mechanisms under Law Number 23 of 2004 concerning the Elimination of Domestic Violence. The implementation method included counseling, interactive discussions, and a question-and-answer session. The results demonstrated increased knowledge and awareness among participants regarding the importance of preventing and reporting domestic violence to create harmonious and safe families.
Gerakan Masyarakat Sehat Dan Peduli Lingkungan Melalui Senam Pagi, Edukasi Sampah, Dan Penanaman Bibit Masyarakat RT. 10 Kelurahan Penurunan Aziz Zurahman; Firdhan Satriawan Sakti; Alviyan Sahadi; Dimas Aldi Prandika; Lois Kapirosi; Yoli Andi Rozzi; Devi Sartika; Sri Narti
Jurnal Karya Nyata Pengabdian Vol. 2 No. 2 (2026): April
Publisher : Utami Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jknp.v2i2.587

Abstract

This community service activity aims to increase physical health awareness and environmental concern for residents of RT 10 RW 04 Penurunan Village, Bengkulu City. The main problem faced is the lack of regular physical activity and the management of household waste that is not optimal. The methods used include direct action through morning exercises together, interactive education about waste sorting, and planting tree seeds as a greening effort. The results of the activity show an increase in citizen participation in fitness activities and a new understanding of the economic value of waste if managed properly. Through planting seeds, it is hoped that a more beautiful and healthy environment will be created in a sustainable way for the local community.
Application Of The K-Means Algorithm in Clustering Medical Records Of BPJS Participants At Bhayangkara Hospital In Bengkulu Wahyu Rizki Rasuanto; Devi Sartika; Dimas Aulia Trianggana
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.8941

Abstract

Grouping is to separate labels from unknown data and grouping is expected to be able to identify data groups to then be labeled as desired. Cluster analysis is a multivariate analysis technique to find and organize information about variables so that they can be relatively grouped into homogeneous groups or "clusters" can be formed.The purpose of data clustering work can be divided into two, namely grouping for understanding and grouping for use. If the goal is for understanding, the formed groups must capture the natural structure of the data, usually the grouping process in this goal is only an initial process to then be continued with core work such as summarization (average, standard deviation), class labeling in each group to then be used as classification training data and so on. K-Means is one of the clustering algorithms included in the Unsupervised Learning group which is used to divide data into several groups with a partition system. This algorithm accepts input in the form of data without class labels. In the K-Means algorithm, the computer groups the data that is its input without first knowing the target class. The input received is data or objects and k desired groups (clusters).
Group Decision Support System for Selecting Student Study Concentrations Using TOPSIS Muhammad Baluqiah Al Ghazali; Indra Kanedi; Devi Sartika
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.9063

Abstract

The use of GDSS in concentration selection using TOPSIS method offers a systematic and data-driven approach to group decision-making. This enables more informed decisions that are widely accepted by all group members, thereby enhancing satisfaction and achieving better outcomes. This new system will be designed to be web-based using PHP and MySQL with computerized programs. Based on the results of the design, implementation, and testing of Group Decision Support System (GDSS) for selecting student concentrations using TOPSIS method, the following conclusions can be drawn: 1.GDSS system that was developed successfully helped the process of selecting student study concentrations objectively and efficiently. By considering various criteria (academic grades, student interests, lecturer recommendations, job opportunities, facilities), the system was able to recommend the right concentration choices. 2.TOPSIS method proved to be effective in calculating concentration alternatives based on the principle of distance from positive and negative ideal solutions. 3.The use of the system accelerates the decision-making process. The average time required to determine a concentration has decreased drastically from approximately 1–2 days (manually) to less than 20 minutes with the system's assistance. 4.The implementation of a web-based GDSS makes the system more flexible and easily accessible to all parties involved, including faculty, students, and administrators
Application Of Fuzzy Algorithm In Decision Making On Honorary Signs Farhaan Fadhlurrahman; Asnawati Asnawati; Devi Sartika
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.9072

Abstract

Decision support system is an information generating system aimed at a particular problem that must be solved by the manager and assists the manager in decision making. Making a decision with many criteria requires a special handling method, especially if the criteria for making a model before the decision is taken. The SMART method is more often used because of its simplicity in responding to the needs of decision makers and analyzing responses. So the formulation of the problem in this study is how to implement the smart method of making honorary decisions. With the aim as comparative data in making decisions on honorary signs for members of the Indonesian National Police, Bengkulu Region. It is hoped that this application will always be up to date so that this application follows the development of Android-based technology with the flutter framework by utilizing the smart algorithm.
The Implementation of Mobile Application for Queue Management and Customer Service at Babe Barbershop Using Agile Method Musa Alhadi Pulungan; Devi Sartika; Ahmad Asyhari
Jurnal Media Computer Science Vol 5 No 1 (2026): Januari
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v5i1.10153

Abstract

Babe Barbershop faced manual queuing problems that affected schedule irregularities and customer comfort. This research aims to design and implement a more efficient and structured mobile application for queue management and customer service. Development was carried out at Babe Barbershop (Bengkulu) from February to June 2025 using Agile method with iterative stages from planning to launch, in order to easily adapt to changing needs. The application was developed with Vue.js and Firebase stack; key features include registration/login, service booking with barber and time slot selection, attendance confirmation, walk-in input, barber dashboard, and a public queue page for transparency. Black-box testing showed that all functions worked well according to the scenario: bookings were saved and had a BOOKED status, cancellations updated the status, “Already Present” changed the status and barber queue, and application navigation was smooth without errors. These results confirm that the application supports operational efficiency, reduces waiting times, and improves the service experience at Babe Barbershop..
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