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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.
Pelaksanaan Gotong Royong Untuk Meningkatkan Kesadaran Masyarakat Dalam Kebersihan Lingkungan Apriani, Denny; Pratama, Yoga Anugra; Amelia, Amelia; Ardiansyah, Rivaldo Dwi; Pratama, Yolan Agung; Wijaya, Ermy; Yulianti, Liza; Irwanto, Tito
Jurnal Gotong Royong Vol 2 No 2 (2025): Oktober
Publisher : LPPM Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/gotong royong.v2i2.9145

Abstract

This research investigates the implementation of a waste segregation system focusing on organic and inorganic waste to improve environmental awareness within the Pematang Gubernur community in Bengkulu. The study employed a participatory approach, which involved community engagement through seminars, workshops, and direct outreach to households. The primary aim was to educate the residents on the importance of waste segregation and provide the necessary facilities to support sustainable waste management practices. The results indicate that the training successfully raised awareness and encouraged the community to adopt better waste management habits. Moreover, the program fostered a sense of responsibility among the residents, contributing to improved community collaboration in maintaining a clean and sustainable environment. The study concludes that such community-driven initiatives are essential for fostering long-term environmental sustainability.
Penerapan Metode Key Performance Indicator Dalam Penilaian Kinerja Sales Sari Roti Cabang Bengkulu Dewangga, Danang Wisnu; Yulianti, Liza; Trianggana, Dimas Tri
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.v21i2.9384

Abstract

PT Indosari Niaga Nusantara Bengkulu Branch is one of the bread companies in Bengkulu Province, also known as Sari Roti, which sells various types of halal, quality, safe for consumption and affordable bread for the community. So far, the performance appraisal is still using a paper performance appraisal form which is then inputted again to make a performance appraisal report. This certainly takes a long time and the lack of efficiency of the Company's HRD department in providing performance evaluation results, especially bread sales. The application of the Key Performance Indicator Method in the performance appraisal of Sari Roti Bengkulu Branch sales can help facilitate the management of Sari Roti sales data and sales performance appraisal data, can assist in providing information on the results of the evaluation of sales performance appraisal every assessment period, and can be used as a basis for evaluating sales performance every assessment period. Based on the test data used as many as 15 bread sales in the July-September assessment period of 2023, it was found that the results of the evaluation of Sari Roti Bengkulu Branch sales performance were very good as many as 12 sales, good as many as 1 sales, and quite good as many as 2 sales.
PENERAPAN METODE PERBANDINGAN EKSPONENSIAL SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN BEASISWA GENERASI MILENIAL ISLAM: Metode Perbandingan Eksponensial Sistem Pendukung Keputusan Annisa Putri Pratiwi; Liza Yulianti; Reno Supardi
E-Link: Jurnal Teknik Elektro dan Informatika Vol. 19 No. 2: Oktober 2024
Publisher : Universitas Muhammadiyah Gresik

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30587/e-link.v19i2.8290

Abstract

Pada sektor pendidikan, komputerisasi sangatlah diminati karena sangat mempermudah dalam berbagai kegiatan yang dilakukan. Pada sebuah kampus program beasiswa sangat membantu mahasiswa-mahasiswi yang berkuliah dikampus tersebut. Sistem Pendukung Keputusan merupakan sistem berbasis komputer yang interaktif yang membantu pengambilan keputusan memanfaatkan model untuk menyelesaikan masalah - masalah yang tak terstruktur dan semi testruktur. Metode Perbandingan Eksponensial adalah metode yang digunakan untuk menentukan urutanprioritas alternatif keputusan dengan kriteria jamak, selain itu metode ini merupakan salah satu metode pengambilan keputusan yang mengkuantifikasikan pendapat seseorang atau lebih dalam skala tertentu pada konsepnya metode ini menggunakan perhitungan secara eksponensial, perbedaan nilai antara kriteria dapat dibedakan tergantung kepada kemampuan orang yang menilai. Penerapan Metode Perbandingan Eksponensial dalam Sistem Pendukung Keputusan Penerimaan Beasiswa Generasi Milenial Islam (GERIMIS) pada kantor Baznas Provinsi Bengkulu akan dibuat menggunakan bahasa pemrograman Visual Basic Net dengan menggunakan database SQL Server sebagai alat dalam penyimpanan hasil pengolahan data yang dapat digunakan oleh staff pada kantor Baznas Provinsi Bengkulu dalam penginputan data calon penerima beasiswa tiap tahunnya berdasarkan kriteria yang telah ditentukan, sehingga nantinya dapat mempermudah dalam penentuan penerima Beasiswa Generasi Milenial Islam (GERIMIS) tahun selanjutnya.
Strengthening Teachers’ Role In Designing Gamification For Vocational School Learning Jumiati Siska; Liza Yulianti; Muhammad Kristiawan; Afes Agustianza; Destika Rinanda
International Journal of Public Devotion Vol 9, No 1 (2026): January - July 2026
Publisher : STKIP Singkawang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26737/ijpd.v9i1.7922

Abstract

One innovative approach is gamification, which can improve student motivation, engagement, and learning outcomes. The problem when teachers don't implement gamification in the learning process primarily relates to their role in designing and integrating this strategy into vocational learning. Teachers need to be empowered to develop gamification designs that align with student characteristics and industry needs. This Community Service Program (PKM) aims to strengthen the role of teachers in designing gamification as a learning strategy in vocational schools. The scope of the research includes analyzing teacher needs, developing applicable gamification designs, and evaluating the effectiveness of gamification implementation in improving the quality of vocational learning. Data was obtained through observations, interviews, and questionnaires with vocational school teachers. The results of this PKM activity indicate that empowering teachers in designing gamification improves their creativity, pedagogical skills, and their ability to integrate technology into vocational learning. The implementation of gamification has been proven to increase student motivation, active engagement in the learning process, and optimal learning outcomes. In conclusion, strengthening the role of teachers in designing gamification is crucial for creating innovative learning strategies in vocational schools. Gamification not only increases student motivation and learning outcomes, but also empowers teachers to be more adaptive to developments in educational technology.Penguatan Peran Guru Dalam Merancang Gamifikasi Untuk Pembelajaran Di Sekolah KejuruanABSTRAKSalah satu pendekatan inovatif adalah gamifikasi, yang dapat meningkatkan motivasi, keterlibatan, dan hasil belajar siswa. Permasalahan ketika guru tidak mengimplementasikan gamifikasi pada proses pembelajaran, terutama terkait peran guru dalam merancang dan mengintegrasikan strategi tersebut ke dalam pembelajaran kejuruan. Guru perlu diberdayakan agar mampu mengembangkan desain gamifikasi yang sesuai dengan karakteristik peserta didik dan kebutuhan industri. PKM ini bertujuan untuk memperkuat peran guru dalam merancang gamifikasi sebagai strategi pembelajaran di sekolah kejuruan. Ruang lingkup penelitian meliputi analisis kebutuhan guru, pengembangan desain gamifikasi yang aplikatif, serta evaluasi efektivitas penerapan gamifikasi dalam meningkatkan kualitas pembelajaran kejuruan. Data diperoleh melalui observasi, wawancara, dan kuesioner kepada guru sekolah kejuruan. Hasil kegiatan PKM ini menunjukkan bahwa pemberdayaan guru dalam merancang gamifikasi meningkatkan kreativitas, keterampilan pedagogis, serta kemampuan mereka dalam mengintegrasikan teknologi ke dalam pembelajaran kejuruan. Penerapan gamifikasi terbukti mampu meningkatkan motivasi belajar siswa, keterlibatan aktif dalam proses pembelajaran, serta hasil belajar yang lebih optimal. Kesimpulan nya adalah bahwa penguatan peran guru dalam merancang gamifikasi sangat penting untuk menciptakan strategi pembelajaran yang inovatif di sekolah kejuruan. Gamifikasi tidak hanya meningkatkan motivasi dan hasil belajar siswa, tetapi juga memberdayakan guru untuk lebih adaptif terhadap perkembangan teknologi pendidikan.Kata Kunci :Peran guru; Pemberdayaan Guru; Gamifikasi; Desain pembelajaran; Sekolah kejuruan
Implementation of Servqual Method in Evaluation Applications of Online Learning System in The Faculty of Teacher Training and Education in The University of Dehasen Bengkulu Belyna Novellya; Liza Yulianti; Hari Aspriyono
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 1 (2021): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i1.96

Abstract

During COVID-19, the face-to-face learning process was temporarily replaced by an online learning system. This is done to prevent the spread of COVID-19. But on the other hand, some students complained about the online learning system, especially the material that contained practicum elements, because they could not practice directly and also the material obtained was not easy to understand due to limited feedback and existing networks. In addition, the Faculty of Teacher Training and Education at the University of Dehasen Bengkulu does not yet have an application that can assist students in providing an assessment of the learning system, especially online, so that these complaints are sometimes not conveyed properly. The online learning system evaluation evaluation application at the Faculty of Teacher Training and Education, Dehasen Bengkulu University is an application that was built to make it easier for students to give scores to the online learning system and also make it easier for the faculty to evaluate the assessments given by students. In helping the analysis of student assessment of the online learning system, this application has applied the Servqual Method where the assessment is divided into 2 parts, namely perceptions and expectations. An online learning system evaluation evaluation application at the Faculty of Teacher Training and Education, Dehasen University Bengkulu, was created using the PHP programming language and MySQL database. This application can be accessed online via the link http://belyna.vadapp.my.id/, so students can fill out the assessment anywhere and anytime. Based on the tests that have been carried out, the results show that the functionality of the online learning system evaluation evaluation application at the Faculty of Teacher Training and Education, Dehasen University Bengkulu runs as expected.
The Implementation of Data Mining to Get The Pattern for Selecting Students' Thesis Title Vobey Alex Sander; Liza Yulianti; Yupianti Yupianti
Jurnal Komputer, Informasi dan Teknologi Vol. 1 No. 2 (2021): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v1i2.200

Abstract

Management Study Program is one of the study programs at the Faculty of Economics, The University of Dehasen Bengkulu. Every academic year, students who have fulfilled the credits or are in semester 6 or 7, submit a file for submission of titles to the staff of the study program, then the Head of Study Program will check related to the title submitted, if possible and in accordance with the disside of science, the title is issued will approved and the study program will appoint supervisor 1 and supervisor 2 from the student concerned. The application of the pattern for selecting students’ thesis titles at the Management Study Program, Faculty of Economics, The University of Dehasen Bengkulu was made using the Visual Basic .Net programming language and SQL Server 2008r2 database. In the application, the Levenstein Distance Algorithm has been applied to the new title submission form, where a comparison will be made against previously accepted titles that have been stored in the database. The title is accepted if the similarity level is below 50%, while the title is Rejected if the similarity level is above 50%. Based on the trial for submitting a new title, the application is able to provide information on whether the title is accepted or Rejected based on the Levenstein Distance Algorithm approach. Based on the results of the tests that have been carried out, the functionalities of the application run as expected and the application is able to display the results of the analysis through the stages of the Levenstein Distance Algorithm for the submission of new titles.
Drug Data Clustering Based on Total Inventory and Total Demand for Drugs Using the K-means Clustering Method at Pajar Bulan Health Center Robi Saputra; Liza Yulianti; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 1 (2022): Juni
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.784

Abstract

At Pajar Bulan Health Center, drug supply data processing is already using office application packages, namely Microsoft Word and Excel. The application package is used for making monthly usage reports, requests and drug supplies. Constraints that often occur are that it takes a long time to manage drug inventory data because they have to record one by one the amount of drug use and the number of drug requests to be made. The number of requests is carried out every month by looking at the latest drug supply, if the stock starts to run low then a request is made. However, it is possible that the stock has run out before making a request, this results in a lack of drug supply management. Drug data clustering is carried out based on the amount of supply and the number of requests for drugs at the Pajar Bulan Health Center through the K-Means Clustering Method approach. To help cluster the drug data, an application was built using the Visual Basic .Net programming language and SQL Server 2008r2 database. Clustering of drug data is carried out in units of pcs in 2021 where the amount of inventory is reduced by the number of requests for drugs, so that the results obtained are 2 drugs enter cluster I and 27 drugs enter cluster II. good and the application can help the Pajar Bulan Health Center in knowing the grouping of drug data based on 2 groups, namely the few clusters and the large clusters
Co-Authors Abdussalam Al Akbar Afes Agustianza 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 Destika Rinanda Devi Sartika Devi Sartika Dewangga, Danang Wisnu Dewi Suranti Edy Hermansyah 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 Kanedi , Indra Kanedi, Indra Kanedi Kemas Muhammad Fadli Lena Elfianty Lianda, Deri Liza Yulianti M. Iqbal Syahputra Maryaningsih Maryaningsih Muhammad Kristiawan Ninti Putriani Prahasti Prahasti , Prahasti Pransiska, Yance Prara Sindia Citra Tessa Pratama, Yoga Anugra Pratama, Yolan Agung Ragil Fadilla Rahma Dani Reno Supardi Reno Supardi Rita Nilawati Rizka Tri Alinse Robi Saputra Rodi Rodi Saika Damaiyanti Sallaby, Achmad Fikri Sapri Sapri Saputra, Robi Sari, Tengsi Mayang Nopita Sartika , Devi Setiaji, Ganang Silvia Wahyu Hastuti 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