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Clasterization Of Data Using Contraceptive Equipment At Puskesmas Kampung Bali, Bengkulu City Using K-Means Method Prara Sindia Citra Tessa; Liza Yulianti; Herlina Latipa Sari
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.v2i1.786

Abstract

Kampung Bali Health Center is one of the health centers in Bengkulu City. The health center serves the family planning program by providing contraceptives, such as pills, injections, condoms, IUDs, and implants. The data processing on supplies and expenditures of contraceptives is done manually by filling in the form provided. It will be recapitulated by the officer to know the use of contraceptives for 1 year. Unfortunately, this procedure is not efficient because it takes time and sometimes there are miscalculations that cause errors in determining the supply of contraceptives. Moreover, the health center needs data on most in demand and least desirable contraceptives. The application of data clusterization on contraceptive use at the Kampung Bali Health Center in Bengkulu City is used to assist the Health Center in managing monthly contraceptive data, and to assist the Health Center in finding out which contraceptive information is most in demand and the least desirable. The K-Means Clustering methodology applied in this research is used in order to divide the contraceptive data into 2 groups; Cluster C1 (the most popular) and Cluster C2 (the least desirable) based on an analysis of the amount of supply and use of contraceptives. There are 60 participants in this study, where Cluster C1 consisted of 24 data and Cluster C2 consisted of 36 data, with the percentage value of C1 clustering 40% and C2 60%. Based on the test, it shows that the functional application of clustering data on contraceptive use at the Kampung Bali Health Center in Bengkulu is running well. It also give beneficial information about data clasterization of contraceptives.
Implementation of the Apriori Method for Analysis of Hotel Guest Visit Patterns at the Rio Asri Hotel Bengkulu Rodi Rodi; Liza Yulianti; Juju Jumadi
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.922

Abstract

Analysis of the pattern of guest visits at the Rio Asri Bengkulu Hotel with the a priori algorithm is carried out to obtain rules and predict the next guest visit and provide guests with marketing rewards to increase the interest of other visitors in utilizing and using hotel services regularly or periodically. A priori analysis is defined as a process to find all the rules that meet the minimum requirements for support and the minimum requirements for confidence. The implementation of the system uses the Visual Basic 2010 programming language and the method used in this study is the waterfall method. The results of the analysis carried out with the variables used are arrival time, number of guests, area of ​​origin and class of room chosen by guests, it is found that the itemset with the best pattern is influenced by the specified minimum support value.
Application of the Simple Additive Weighting (SAW) Method in Recommended Skripsi Topics Tengsi Mayang Nopita Sari; Liza Yulianti; Devi Sartika
Jurnal Komputer, Informasi dan Teknologi Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.953

Abstract

Students were confused by the selection of thesis topics from the 3 thesis topics to be discussed in research, thus slowing down the thesis submission process and some students did not submit titles during semester 7. thesis topic, one way is by utilizing information technology systems. The recommendation application for thesis topics at the Management Study Program, Faculty of Economics, University of Dehasen Bengkulu, was made using the Visual Basic .Net programming language and SQL Server 2008r2 database. In the application, one of the Decision Support System (DSS) methods has been applied, namely the Simple Additive Weighting (SAW) method which is used to help determine recommendations for final semester student thesis topics based on the value of the courses obtained by students. There are 3 thesis topics in the Management Study Program, Faculty of Economics, University of Dehasen Bengkulu, namely finance, human resources, and marketing with a course value of 17 courses. Recommendations for this thesis topic are given per student by generating course grades for each student. Based on the results of the black box test, the functional application of the thesis topic recommendation at the Management Study Program, Faculty of Economics, Dehasen Bengkulu University has been running properly and is able to display the results of the thesis topic recommendation for each student through the stages of the SAW method.
Implementation Of Technique For Order Preference By Similarity To Ideal Solution Method In Performance Assessment Of Best Medical Personnel In Public Hospitals Kepahiang Area Ragil Fadilla Rahma Dani; Liza Yulianti; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1665

Abstract

In assessing the performance of the best medical personnel at the Kepahiang Regional General Hospital, there are several criteria that are used as an assessment. This assessment is based on the assessment of the performance of medical personnel, namely Service Orientation, Responsibility, Discipline, and Attendance. In this study, the technique for order preference by similarity to ideal solution (TOPSIS) method is applied with a decision support system, each of the criteria in the assessment of the performance of medical personnel is compared with one another, thus providing an output of priority intensity values for each medical personnel. From the description above, it can be concluded that in assessing the performance of the best medical personnel, only those who meet the criteria with the highest value will be selected.
Decision Support System By Applying Exponential Comparison Method (ECM) In Selecting The Best Village Secretary In Pondok Kelapa Sub-District Silvia Wahyu Hastuti; Liza Yulianti; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi Vol. 4 No. 1 (2024): June
Publisher : Penerbit Jurnal Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v4i1.1667

Abstract

The selection of the best village secretary in Pondok Kelapa Sub-District is carried out directly by the sub-district. In determining the best village secretary, Pondok Kelapa Sub-District is considered ineffective, as it is challenging to decide who is suitable to become the best village secretary. The decision support system application determines the best village secretary candidate in Pondok Kelapa Sub-District using the Exponential Comparison Method (ECM). The first step is to assign weights to each criterion, followed by ranking to determine the highest alternative from all available alternatives. This highest alternative is the result worthy of being accepted as a tested village secretary based on the predetermined criteria. This study concludes that the system built can assist the sub-district in selecting a village secretary who meets the standards, thus enabling them to carry out the tasks and responsibilities assigned to the village secretary.
Menuju Desa Cerdas: Meningkatkan Literasi Digital Masyarakat Desa Achmad Fikri Sallaby; Liza Yulianti; Maryaningsih Maryaningsih; Edy Hermansyah; Saika Damaiyanti
Jurnal Dehasen Untuk Negeri Vol 3 No 2 (2024): Juli
Publisher : LPPJPHKI Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jdun.v3i2.11097

Abstract

This community service activity is motivated by the low level of digital literacy among rural communities, which affects the optimal use of technology in daily life. The main problems include limited understanding of internet usage, lack of awareness in using social media wisely, and risks of digital technology misuse. The purpose of this activity is to improve community knowledge and skills in utilizing digital technology productively. The methods used include socialization, training, and mentoring with a participatory approach. The activity was conducted in Sri Kuncoro Village, Central Bengkulu Regency, involving the community, village officials, and digital communities. The results show an increase in participants’ understanding of accessing information, using social media wisely, and basic digital security awareness. Therefore, this activity contributes to supporting the development of adaptive rural communities in the digital era.
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