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All Journal Jurnal Media Infotama Jurnal Media Computer Science Journal of Multidisciplinary Research Jurnal Pengabdian Mandiri
Dimas Aulia Trianggana
Universitas Dehasen Bengkulu
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Community Empowerment Of RT 21, Sawah Lebar Baru Subdistrict Through Digital Literacy Training To Support Digital Transformation Delon Hadi Winata; Bima Trisentyia; Iluh Frensia Paramita; Tiara Pia; Tutut Dwinka Utari; Dimas Aulia Trianggana
Jurnal Pengabdian Mandiri Vol. 3 No. 1 (2026): Juni
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/mandiri.v3i1.1231

Abstract

This study examines the implementation of a digital literacy training program for the community of RT 21, Sawah Lebar Baru Village, as an effort to enhance residents’ digital competencies in supporting digital transformation. The study aims to evaluate the program’s implementation, community participation, and its impact on improving participants’ digital literacy. A descriptive qualitative approach was used through interviews, observations, and documentation involving more than 60 participants per day who attended the training. The findings show that the six-day program received positive responses from the community, with an attendance rate of 88%. Training materials such as the use of digital devices, digital security, online communication, and the utilization of public service applications contributed to improving participants’ digital skills. Residents demonstrated increased understanding of basic technology use and the ability to independently access digital-based services. The study concludes that the program has been effective in enhancing digital literacy and technological awareness within the community, although challenges such as limited devices and variations in training materials need to be addressed to ensure its sustainability.
KKN-T Program: Environmental Education Through the Creation of Road Signs and Handicrafts from Recycled Materials for the Community of Pintu Batu Hafiz Pandu Tizaldi; Made Suardha Puspa; Nurul Aini; Putri Fajar Wati; Mupiansa Mupiansa; Dimas Aulia Trianggana; Merry Rullyanti; Hendri Alamsyah
Jurnal Pengabdian Mandiri Vol. 3 No. 1 (2026): Juni
Publisher : Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/mandiri.v3i1.1337

Abstract

Pintu Batu Village faces challenges regarding the completeness of environmental information infrastructure in the form of street signs and the management of inorganic waste, which has not been utilized creatively. This community service activity aims to improve environmental order and resident creativity through mutual cooperation, the installation of street signs in RT 02, and handicraft training using recycled materials. Furthermore, early childhood education regarding the importance of proper waste disposal was provided to the children of TK Cerdik Pintu Batu through engaging approaches such as morning exercises and collective coloring activities. The method employed is a participatory-educational approach involving coordination with local officials and direct handson practice with the residents. The results of the activity indicate an increase in citizen participation in mutual cooperation and the creation of recycled products such as flower pots from plastic bottle and beverage baskets from plastic cup waste. The existence of new street signs facilitates easier navigation within the neighborhood, while the educational activities at the kindergarten level strengthen the foundation of environmental awareness from an early age.
Perbandingan Metode Simple Additive Weighting Dan Weighted Product Dalam Penilaian Kinerja Guru Dimas Aulia Trianggana; Indra Kanedi; Bella Oktavia
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.v18i1.2125

Abstract

The teacher performance appraisal process is carried out through a manual assessment form which will then be given a value according to predetermined criteria. Comparative analysis of the Simple Additive Weighting and Weighted Product methods on teacher performance assessment data is carried out by comparing the final results obtained from the two methods. The analysis is carried out by looking at the number of criteria used, the processing time and also the ranking results. Based on the tests that have been carried out, the comparison results obtained in terms of processing time, the SAW method is faster than the WP method, and from the ranking results the SAW method and the WP method have the same value.
Penerapan Metode Promethee Dalam Rekomendasi Pemilihan Karyawan Berprestasi Dimas Aulia Trianggana; Indra Kanedi
Jurnal Media Infotama Vol 20 No 1 (2024): April 2024
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v20i1.5851

Abstract

In every company there is an employee performance assessment system that is used to find out who can be used as role models as outstanding employees. The assessment aspects are divided into 4 categories, namely Discipline, Work Attitude, Potential and Ability, and Work Results. In this decision support system the Promethe method has been applied, so that the final assessment results for each employee have gone through the Promethe method calculation procedure. The final assessment results of the Promethee Method will be sorted from the highest value to the lowest value with two conditions where if the Net Flow value is all 0 then it will be sorted based on the leaving flow and entering flow values, but if the Net Flow value is not all 0, then it will be sorted based on Net Flow value obtained from each employee
Penerapan Metode Holt-Winter Exponential Smoothing Dalam Prediksi Jumlah Siswa-Siswi Baru Di Sma Negeri 09 Bengkulu Selatan Wiwin Irianto Saputra; Indra Kanedi; Dimas Aulia Trianggana
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.v20i2.6375

Abstract

Admission of new students is a routine activity carried out every academic year at the school. High School 09 South Bengkulu is one of the high schools in South Bengkulu Regency which accepts new students every academic year. The number of new students is based on the gender of the new students (boys and girls) and age group (14-15 years, 16-17 years, and 18-19 years). The application of the Holt-Winter Exponential Smoothing Method in predicting the number of new students at South Bengkulu High School 09 can make it easier to obtain information on predictions of the number of students in the school in the upcoming new academic year, where the prediction of the number of new students is based on gender. New students (boys and girls) and age groups (14-15 years, 16-17 years, and 18-19 years). Based on data obtained from South Bengkulu High School 09, the predicted results for the number of students were obtained. female students for the 2024/2025 academic year, namely 65 male students in the 14-15 year age group, 42 female students in the 14-15 year age group, 42 female students, 16-17 year old male students as many as 31 students, female gender in the 16-17 year age group as many as 0 students, male gender in the 18-19 year age group as many as 3 students, and female gender in the 18-19 year age group as many as 0 Students.
Penerapan Metode Customer Satisfication Indeks (CSI) Dalam Pengukuran Tingkat Kepuasan Pasien Terhadap Pelayanan Kesehatan Di Rsud Hasanuddin Damrah Manna Bima Dwi Cahya; Herlina Latipa Sari; Dimas Aulia Trianggana
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.v20i2.6515

Abstract

Hasanuddin Damrah Manna Regional General Hospital is one of the Regional General Hospitals in Bengkulu Province. So far, the Hasanuddin Damrah Manna Regional General Hospital already has a health service evaluation system based on the results of measuring the level of patient satisfaction, but the evaluation system is still manual in nature where the hospital distributes questionnaires to each patient to provide an assessment of satisfaction with the services provided by the hospital. Hasanuddin Damrah Manna Regional General Hospital. The application of the Customer Satisfication Index (CSI) method in measuring the level of patient satisfaction with health services at the Hasanuddin Damrah Manna Regional General Hospital can help the hospital in managing the results of assessing patient satisfaction with health services at the Hasanuddin Damrah Manna Regional General Hospital and can provide information results of measuring the level of patient satisfaction with health services at the Hasanuddin Damrah Manna Regional General Hospital as evaluation material to improve service quality. The application of the Customer Satisfication Index (CSI) method in measuring the level of patient satisfaction with health services at Hasanuddin Damrah Manna Regional General Hospital can be accessed online via the url link https://kepuasanrsudhasanuddindamrahmanna.my.id Based on the results of the demo program that has been carried out, 10 The respondent succeeded in providing an assessment of the application online using the respondent code that was obtained from the Hasanuddin Damrah Manna Regional General Hospital and the operator can also see the output of the satisfaction assessment results which will be given to the Head of the Hospital for evaluation. From the results of the assessment given by the 10 respondents, the results showed that the level of patient satisfaction with health services at the Hasanuddin Damrah Manna Regional General Hospital was Very Satisfied with a CSI (Customer Satifaction Index) value of 80.85%.
Penerapan Metode Moora Dalam Menentukan Pegawai Terbaik Pada Fakultas Ekonomi Dan Bisnis Universitas Bengkulu Muhammad David Bekam; Dimas Aulia Trianggana; Ahmad Arif Alfarisy
Jurnal Media Infotama Vol 22 No 1 (2026): April 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i1.9888

Abstract

Determining the best employees is an effort to provide appreciation while also motivating employee performance within the Faculty of Economics and Business at Universitas Bengkulu. This study applies the Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) method to provide recommendations for the best employees in an objective, systematic, and data-driven manner. The method is used because it can process data based on relevant criteria and produce consistent rankings. The assessment process involves collecting data from 11 employees based on registration data for the year 2024, which is then processed using the MOORA method to obtain rankings from highest to lowest. The best employee recommendations are established for the top three rankings. Based on the calculations, the three best employees identified are Tiharman, SH, Sutomo, S.Sos, and Dahril Alpansi, SH. The results of this research are expected to serve as a reference for the faculty in determining the best employees more accurately and transparently each year
Analisis Perbandingan Metode Simple Multi Attribute Rating Technique (SMART) Dan Metode Preference Selection Index (PSI) Dalam Penentuan Guru Terbaik SD N 14 Seluma Docky Agresma; Dimas Aulia Trianggana; Desi Mahdalena
Jurnal Media Infotama Vol 22 No 1 (2026): April 2026
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v22i1.10095

Abstract

Objective teacher performance assessment is an important step in improving the quality of education in schools. This study aims to analyze the comparison between the SMART (Simple Multi Attribute Rating Technique) method and the PSI (Preference Selection Index) method in determining the best teachers at SD Negeri 14 Seluma based on teacher performance assessment data for the 2023/2024 academic year. The comparison was conducted through three main aspects, namely processing time, final assessment results, and accuracy levels measured using a confusion matrix. The results showed that the SMART method had a faster processing time than the PSI method. However, both methods produced the same final results in determining the best teachers, with identical rankings. In terms of accuracy, both the SMART and PSI methods showed the same accuracy level of 80%. System testing using the blackbox method also showed that the developed application functions well and is capable of providing accurate recommendations for the best teachers each year.
The Development Of Application For Selecting Programmer Experts At The Communication, Information, And Statistics Agency Of Bengkulu Province Using Simple Additive Weighting (Saw) Method Apriani Purwita Sari; Khairil Khairil; Dimas Aulia Trianggana
Journal of Multidisciplinary Research Vol. 2 No. 2 (2026): January
Publisher : Utami Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70963/jmr.v2i2.489

Abstract

The Communication, Information, and Statistics Agency of Bengkulu Province are a local government agency that plays a role in managing public information and supporting the development of digital services. One of the agency's important needs is the availability of competent expert programmers to support the operation and development of information systems. This study aims to develop a web-based decision support system using the PHP programming language with the CodeIgniter Framework and MySQL database to facilitate the selection process of expert programmers. The Simple Additive Weighting (SAW) method was applied to produce objective assessments based on several criteria, namely age, work experience, certificates, portfolios, interviews, and competency tests, with the greatest weight given to the competency test aspect. A passing grade of 0.75 was set as the threshold for determining which applicants met the qualifications. The results of the study show that the system is capable of automatically calculating scores and rankings according to the predetermined criteria weights. The selection process is faster, more objective, and reduces the potential for errors compared to manual methods. In addition, the system reduces the need for manual recording, thereby increasing administrative efficiency. Thus, this decision support system has been proven to assist agencies in determining prospective programmer experts more accurately and transparently, and has the potential to be applied to the selection process in other government agencies.
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).
Co-Authors Ahmad Arif Alfarisy Apriani Purwita Sari Bella Oktavia Bima Dwi Cahya Bima Trisentyia Delon Hadi Winata Desi Mahdalena Devi Sartika Docky Agresma Hafiz Pandu Tizaldi Hendri Alamsyah Herlina Latipa Sari Iluh Frensia Paramita Kanedi, Indra Kanedi Khairil Khairil Liza Yulianti M. Endri Hardinata Made Suardha Puspa Maryaningsih Maryaningsih Merry Rullyanti Muhammad David Bekam Mupiansa Mupiansa Nurul Aini Putri Fajar Wati Tiara Pia Tutut Dwinka Utari Wahyu Rizki Rasuanto Widian Sulistio Wiwin Irianto Saputra