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All Journal Jurnal Media Infotama JURNAL MEDIA INFORMATIKA BUDIDARMA JurTI (JURNAL TEKNOLOGI INFORMASI) JOURNAL OF SCIENCE AND SOCIAL RESEARCH JSAI (Journal Scientific and Applied Informatics) E-Link: Jurnal Teknik Elektro dan Informatika IJPD (International Journal Of Public Devotion) GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal Komputer, Informasi dan Teknologi Jurnal PADAMU NEGERI (Pengabdian pada Masyarakat Bidang Eksakta) Jurnal Dehasen Untuk Negeri Jurnal Media Computer Science Journal of Innovation Research and Knowledge Jurnal Komputer Indonesia Jurnal Gotong Royong Jurnal Komputer
Liza Yulianti
Universitas Dehasen Bengkulu
Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Journal : Jurnal Media Computer Science

 1 
The Implementation Of The Exponential Smoothing Method In Forecasting The Number Of Students At Smk Negeri 3 Bengkulu Fezi Fadwa Rendika; Liza Yulianti; Jhoanne Fredricka
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 (602.943 KB) | DOI: 10.37676/jmcs.v1i2.2695

Abstract

The admission of new students is a routine activity every Academic Year carried out at schools. SMK Negeri 3 Bengkulu City is one of the State Vocational Schools in Bengkulu City which every Academic Year accepts new students. Based on data obtained from the 2011/2012 Academic Year to the 2021/2022, it shows that the level of the number of students sometimes decreases and also increases. This fluctuating pattern of student numbers is a problem faced by SMK Negeri 3 Bengkulu City in determining strategic steps and policies from schools in dealing with PPDB (New Student Admission) in every academic year. The application for forecasting the number of students at SMK Negeri 3 Bengkulu City is an application that can help schools find out how many students there will be in the coming school year based on the results of the analysis conducted from the previous trend data. Forecasting analysis is carried out through Exponential Smoothing Method approach. The results of the tests carried out obtained forecasting results in 2022/2023 academic year as many as 474 students.
Implementation Of Additive Ratio Assessment (Aras) Method For Online Reward Driver Provision M. Iqbal Syahputra; Liza Yulianti; Devi sartika
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.v1i2.2706

Abstract

Giving rewards to online drivers is one of the annual agendas carried out at Grab Bengkulu Branch to encourage driver motivation and professionalism in improving the quality of work. The obstacles faced in giving these rewards are due to the diversity of educational backgrounds, experiences, competencies and portfolios of the drivers, so we need a system that can assist in the process of giving rewards to drivers so that they do not become sluggish and experience difficulties. In the process of designing the application of this reward decision support system using the ARAS approach. The ARAS method is a method based on the intuitive principle that alternatives must have the largest ratio to produce an optimal solution. The ARAS method performs ranking by comparing the value of each criterion on each alternative by looking at the weights of each to obtain the ideal alternative. The implementation of the system uses the Visual Basic 2010 programming language. From the results of the tests carried out, it can be concluded that the best employee with a value of 0.90, the lowest value of 0.81
Decision Support System Determination Of Achieving Students Using The Promethe Method At Smk Negeri 4 Kepahiang Jepri Haji Utama; Liza Yulianti; Dewi Suranti
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.v1i2.2708

Abstract

SMK Negeri 4 Kepahiang is one of the State Vocational High Schools located in Kepahiang Regency, Bengkulu Province. So far, the assessment system for outstanding students in schools is carried out by registering students and looking at 4 aspects of the assessment, namely the value of knowledge, the value of absenteeism, the value of non-academic achievement, the value of attitudes and behavior. The determination process is still done manually, where the four aspects will be compared between one student and another so that it can be known with various considerations, so that 3 outstanding students are obtained from the number of students. This is of course an obstacle for the school, because sometimes it is difficult to determine outstanding students and it takes quite a long time. The Decision Support System for determining outstanding students at SMK Negeri 4 Kepahiang was made using the Visual Basic .Net programming language and SQL Server 2008r2 database, where in the application one of the Decision Support System Methods (SPK) was applied, namely the Promethee Method. This application can be used as an alternative in assisting the school in determining outstanding students each academic year. The Decision Support System for determining outstanding students at SMK Negeri 4 Kepahiang begins with student assessment data which is then processed into the Promethee Method according to the stages of the method, so as to produce a final score by sorting the highest score to the lowest value. Based on the assessment data for the 2021/2022 Academic Year as many as 4 students, the outstanding student was Alim Predika with a net flow value of 0.42..
The Basis Of Ratio Analysis For The Selection Of Majors At SMA Negeri 1 In Kepahiang Regency Epan Susandi; Liza Yulianti; Eko Suryana
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.v1i2.2744

Abstract

SMA Negeri 1 is one of the schools in Kepahiang regency which annually routinely conducts major selection for the students. This major is intended so that later students can complete school according to their interests and abilities before continuing to a higher level. The current major selection process has weaknesses, including taking a long time and also the results obtained are less accurate because there could be many mistakes because there is no special application to support these calculations. In addition, the element of subjectivity is quite high because the criteria used are still few and less relevant. To overcome this problem, a decision support system is made to determine the selection of majors. This study used the method of multi-objective optimization on the basis of ratio analysis (MOORA) with the criteria of the value of report cards for science subjects, social studies scores, mathematics scores, Indonesian language scores, and the average value of report cards. The implementation of the system uses the Visual Basic 2010 programming language and the method used in this research is the Waterfall method. The final result was that the decision support system with the MOORA method was able to overcome problems in the process of selecting majors at SMA Negeri 1 Kepahiang Regency.
Fuzzy Tsukamoto Method in Service Satisfaction Assessment at the Village Office Tanjung Aur 1 Pransiska, Yance; Yulianti, Liza; Jumadi, Juju
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8150

Abstract

IKM analysis must always be carried out periodically so that it can be seen that public satisfaction with the services provided, especially at the Tanjung Aur 1 Village Office. But in reality, so far the Tanjung Aur 1 Village Office has not had a benchmark that is used as a forum for knowing public satisfaction with these services.The application of the Fuzzy Tsukamoto Method in assessing service satisfaction at the Tanjung Aur 1 Village Office can assist in managing the results of the Community Satisfaction assessment of Services at the Tanjung Aur 1 Village Office, and can provide information on the results of measuring the level of community satisfaction with services at the Tanjung Aur 1 Village Office as an evaluation material to improve service quality. The application of the Fuzzy Tsukamoto Method in assessing service satisfaction at the Tanjung Aur 1 Village Office is built web-based using the PHP programming language and MySQL database which can be accessed online via the link https://kepuasandesatanjungaur1.site/, where there are 2 interface access rights in the application, namely Administrators and Villagers of Tanjung Aur 1. Based on the 2024 service satisfaction assessment data with 9 respondents who have been inputted into the web-based application, the results of the service satisfaction assessment that have been analysed through the Fuzzy Tsukamoto Method are Very Satisfied 44.44%, Satisfied 22.22%, Quite Satisfied 33.33%, Dissatisfied 0% and Very Dissatisfied 0%. Based on the results of the demo programme that has been carried out, 9 respondents have successfully provided service satisfaction assessments on the application online and also the operator can see the output of the satisfaction assessment results which will be given to the Village Head for evaluation.
Expert System For Diagnosing Eardrum (Tympanic Membrane) Diseases Using Certainty Factor Method Jayanda, Prengky; Yulianti, Liza; Suryana, Eko
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8413

Abstract

Dr. M. Yunus Regional General Hospital Bengkulu is one of the hospitals in Bengkulu City that provides health service facilities. The current problem at the M. Yunus Regional General Hospital is the limited time available at the ENT Polyclinic and the delay in examining eardrum disease. So patients must go directly to the ENT Specialist Doctor who treats eardrum disease. The limited time of the Specialist Doctor who treats eardrum disease at the Hospital is also one of the causes of the delay in handling patients with eardrum disease. The expert system for diagnosing eardrum disease (tympanic membrane) using the certainty factor method at the M Yunus Regional General Hospital, Bengkulu City can be used as a container to help determine the diagnosis of eardrum disease based on the symptoms felt, and can make it easier for users to consult online via the link https://spakarmembrantimpanicf.site/. The expert system for diagnosing eardrum disease (tympanic membrane) using the certainty factor method at the M Yunus Regional General Hospital, Bengkulu City was created using the PHP programming language and MySQL database, which can be accessed online. Based on the black box method testing that has been carried out, it can be concluded that the functionality of the application has run well and this expert system can provide consultation results for the diagnosis of eardrum disease (tympanic membrane) through the Certainty Factor method stages based on the symptoms selected by the user during the consultation. Based on the alpha testing method testing that has been carried out, it can be concluded that this expert system is quite helpful for users in consultations and provides early detection information for the diagnosis of eardrum disease from the symptoms felt.
Application Of Data Mining In Grouping Data On The Need For Social Welfare Services (Ppks) At The Dharma Guna Center In Bengkulu Wahyuni, Mera; Yulianti, Liza; Alinse, Rizka Tri
Jurnal Media Computer Science Vol 4 No 2 (2025): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmcs.v4i2.8814

Abstract

Sentra Dharma Guna Bengkulu is an institution under the auspices of the Ministry of Social Affairs of the Republic of Indonesia that provides social rehabilitation services for people with disabilities, including therapy (physical therapy and occupational therapy) and training. At Sentra Dharma Guna Bengkulu, data collection is carried out on PPKS (Social Welfare Service Recipients) every month to determine the development of the PPKS based on 5 (five) assessment aspects, namely physical aspects, spiritual aspects, psychological aspects, social aspects, and vocational aspects. Every month the development of PPKS Mentally Disabled (PDM) is assessed against 5 assessment aspects to determine whether PPKS is in the severe, moderate or mild group. The application of data mining in grouping data on Social Welfare Service Recipients (PPKS) at the Dharma Guna Bengkulu Center can help collect data and assess the development of PPKS, especially People with Mental Disabilities (PDM), can help analyze and group PPKS data, especially People with Mental Disabilities (PDM), and can provide information on the results of grouping PPKS data, especially People with Mental Disabilities (PDM) every month. From the test data used, namely PPKS data for People with Mental Disabilities (PDM) in October 2024 as many as 49 PPKS, the results of data grouping were obtained using the K-Means Clustering Method which has been divided into 3 groups. The number of Cluster C1 data (Severe Group) consists of 9 PPKS data, Cluster C2 (Moderate Group) consists of 26 PPKS data, and Cluster C3 (Light Group) consists of 14 PPKS data.
Co-Authors Abdussalam Al Akbar Agustianza, Afes Aji Sudar sono Aji Sukmo Alinse, Rizka Tri Amelia Amelia Annisa Dwi Putri Annisa Putri Pratiwi Apriani, Denny Ardiansyah, Rivaldo Dwi Asnawati Asnawati Asnawati Asnawati Ayu Mayang Sari Belyna Novellya Cahyani, Cendi Nur Cahyani, Lindry Dwi Cahyono, Trisna Dani, Ragil Fadilla Rahma Dari, Erika Dwi Ulan Devi Sartika Devi Sartika Dewangga, Danang Wisnu Dewi Suranti Eko Putra Membara Eko Suryana Eko Suryana Elfianty , Lena Ema Sastri Puspita Epan Susandi Ernawati Ernawati Feri Hari Utami Feri Hari Utami Fezi Fadwa Rendika Fredricka, Jhoanne Fredricka, Jhoanne Gragrista M, Avelyn Hari Aspriyono Hastuti, Silvia Wahyu Herlina Latipa Sari Ila Yati Beti Indra Kanedi Irfan Wendiyansa Irvan Ciantury Jaswan, Mali Jayanda, Prengky Jepri Haji Utama Juju Jumadi Juju Jumadi Juju Jumadi Jumiati Siska, Jumiati Kanedi , Indra Kanedi, Indra Kanedi Kemas Muhammad Fadli Lena Elfianty Lianda, Deri Liza Yulianti M. Iqbal Syahputra Muhammad Kristiawan Ninti Putriani Prahasti Prahasti , Prahasti Pransiska, Yance Prara Sindia Citra Tessa Pratama, Yoga Anugra Pratama, Yolan Agung Reno Supardi Reno Supardi Rinanda, Destika Rita Nilawati Rizka Tri Alinse Robi Saputra Rodi Rodi Sapri Sapri Saputra, Robi Sari, Tengsi Mayang Nopita Sartika , Devi Setiaji, Ganang Tengsi Mayang Nopita Sari Tessa, Prara Sindia Citra Tito Irwanto, Tito Toibah Umi Kalsum Trianggana, Dimas Tri Vobey Alex Sander Wahyuni, Mera Wijaya, Ermy Yanolanda Suzantri H Yuisar Yuisar Yupianti Yupianti Yupianti Yupianti, Yupianti Zuhri, M. Khoiruddin