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Implementation of the Simple Multi Attribute Rating Technique (SMART) Method on the Decision Support System for Determining Revolving Fund Capital Loan Receipt at the Cooperative Service Annisa Dwi Putri; liza yulianti; devi sartika
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.v1i2.232

Abstract

The purpose of writing this final project is to find or recommend recipients of revolving fund borrowings at the cooperative office, therefore a Decision Support System is needed for the recommendation for acceptance of revolving capital loans at the cooperative office using the smart method. The research method applied in this research is the development of the waterfall method. The waterfall method is a systematic and sequential information system development model Implementation of the Smar Method in a Decision Support System for determining the acceptance of a revolving fund capital loan at the cooperative service is an algorithm for processing data based on the weight of the criteria. The Samrt method is a method used to determine the acceptance of a revolving fund capital loan based on the weight of the criteria, at the Cooperative Service there are six criteria, namely, capital range, rate, number of members, cooperative status, legal entity, length of establishment, each decision is calculated based on the six criteria above. Decision Support System Recommendation Revolving fund loan acceptance is built using Visual Basic programming language and Microsoft Access database. The Decision Support System produced in this study can display cooperative data and the ranking of the results of receiving revolving fund loans based on existing data so that it can be used as a solution or consideration in the process of receiving revolving fund loans.
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
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.
Revitalisasi Budaya Gotong Royong Untuk Pengelolaan Sampah Berkelanjutan Di Kelurahan Sawah Lebar Kota Bengkulu Malasari, Tara; Dwiyanti, Natasya; Ilmi, Ilma Adhyka Farizky; Ardinata, Bayu; Caniago, Aldo; Moulina, Methatias Ayu; Sumantri, Ajis; Yulianti, Liza
Jurnal Gotong Royong Vol 3 No 1 (2026): Mei
Publisher : LPPM Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/goro.v3i1.10694

Abstract

Gotong royong is a noble tradition of Indonesian nation that has experienced degradation in modern era, especially in urban areas. This study examines the revitalization of gotong royong culture as a sustainable waste management strategy in RT 28 RW 07 Sawah Lebar Village Bengkulu City. Main problems include low community participation in collective activities, minimal waste sorting awareness, and lack of environmental education media. Implementation methods include Focus Group Discussion, scheduled mutual cooperation, installation of visual education media, waste sorting training, Results show an increase in community participation up to 75%, installation of Waste decomposition period education signs, implementation of mandatory reporting system for boarding house residents. This program successfully builds community collective awareness in maintaining environmental cleanliness by utilizing local wisdom of gotong royong.
Penguatan Partisipasi Sosial Dan Pemberdayaan Masyarakat Melalui Kuliah Kerja Nyata Tematik Di Kelurahan Pematang Gubernur Pratiwi, Ii; Apriani, Ramalia; Nasution, Raihan Novanza; Saputra, Muhammad Azan Dwi; Ambarwati, Dea Ananda; Handayani, Lefi Evti; Khairil, Khairil; Yulianti, Liza
Jurnal Gotong Royong Vol 3 No 1 (2026): Mei
Publisher : LPPM Universitas Dehasen Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/goro.v3i1.10697

Abstract

Social community participation is the basic capital in sustainable community development. This community service activity aims to strengthen social participation and empower communities through active involvement in mutual cooperation activities, morning exercises, routine religious gatherings, and joint celebrations. The implementation method uses a community-based approach with a participatory action strategy involving students as facilitators and the community as the main actors. Activities were carried out in RT 31 RW 02 Pematang Gubernur Village during December 2025 to January 2026 involving 5 students and more than 100 residents. The results show an increase in the frequency of citizen participation in social community activities, strengthening of social bonds between residents, and the formation of collective awareness about the importance of togetherness. This program successfully created a stronger atmosphere of togetherness and significantly improved the quality of community social life.
Co-Authors Abdussalam Al Akbar Adriansa, Mezi Afes Agustianza Afifudin, Rahmat AH, Alkausar Ahmad Soleh Aji Sudar sono Aji Sukmo Aldzikri, M. Iqbal Alfajri , Feriawan Alinse, Rizka Tri Amanah, Nurrulita Ambarwati, Dea Ananda Amelia Amelia Ameliya Tantri Andini Risha Septiani Andwini Prasetya, Andwini Annisa Dwi Putri Annisa Putri Pratiwi Apriani, Denny Apriani, Ramalia Ardiansyah, Rivaldo Dwi Ardinata, Bayu Arina Sulastri Arius Satoni Kurniawansyah Asnawati Asnawati Asnawati Asnawati Astianza Ramadhani Ayu Mayang Sari Basar Al Mustaqim Mustaqim Belyna Novellya Cahyono, Trisna Caniago, Aldo Cendi Nur Cahyani Damarsiwi, Eska Prima Monique Danang Wisnu Dewangga Dani, Ragil Fadilla Rahma Destika Rinanda Devi Sartika Devi Sartika Dewi Suranti Dimas Aulia Trianggana Dimas Tri Trianggana Doni Pratama Dwi Putri, Annisa Dwiyanti, Natasya Edwar Deva Ervansyah Edy Hermansyah Eko Putra Membara Eko Suryana Eko Suryana Elfianty , Lena Ema Sastri Puspita Epan Susandi Erika Dwi Ulan Dari Ernawati Ernawati F.A, Raden Ajeng Flaura Fadila, Ayu Faizer, Maychel Febrianto, Yogi Feri Hari Utami Feri Hari Utami Fezi Fadwa Rendika Fiska Ariska Fredricka, Jhoanne Ganang Setiaji Gragrista M, Avelyn Handayani, Lefi Evti Handayani, Sri Hari Aspriyono Harlina, Risa Haryadi, B Herawan Hastuti, Silvia Wahyu Herlina Latipa Sari Herri Fariadi, Herri Hesti Nur’aini Ila Yati Beti Ilmi, Ilma Adhyka Farizky Imelia Arista Putri Indra Kanedi Irfan Wendiyansa Irlan Ulama Lase Irvan Ciantury Jayanda, Prengky Jepri Haji Utama Juju Jumadi Juju Jumadi Jumadi , Juju Jumadi, Juju Jumiati Siska Jumiati Siska, Jumiati Kanedi , Indra Kanedi, Indra Kanedi Karien Eka Putri Karona Cahya Susena Kemas Muhammad Fadli Khairil Khairil Kuljanah, Julia Mita Kurniawan Kurniawan Lena Elfianty Leni Natalia Zulita Lianda, Deri Lidya Nataliya Lindry Dwi Cahyani Lydia Gustina Putri M Akrom Sayuti M. Endri Hardinata M. Iqbal Syahputra M. Khoiruddin Zuhri Mahdalena, Desi Malasari, Tara Mali Jaswan Maryaningsih Maryaningsih Meksi Despa Methatias Ayu Moulina, Methatias Ayu Muhammad Davit Alexsander Muhammad Kristiawan Muhammad Kristiawan Muhammad Mallik Rondesha Nadia Permata Sari Nahdiyah Arenta Cahaya Sakti Nainggolan, Rico Hasudungan Nasution, Raihan Novanza Nasution, Suswati Natasya, Adelia Neri Susanti Nessa Lendrawati Ninti Putriani Nopiyanti, Penti Novellya, Belyna Nugroho , Husnul Nupsi, Nupsi Oktara, Panggi Ondihon Ady Prima Pasaribu Penola, Yola Perdima, Feby Elra Permata, Puja Dwi Prahasti Prahasti, Prahasti Pranata, Fheroansyah Ade Pransiska, Yance Prara Sindia Citra Tessa Pratama, Yoga Anugra Pratama, Yolan Agung Pratiwi, Ii Ragil Fadilla Rahma Dani Rahayu, Reska Putri Rahayu Ramadano, Ebben Sah Reno Supardi Reno Supardi Riefky Aditya Rita Nilawati Rizka Tri Alinse Robi Saputra Rodi , Rodi Rodi Rodi Roki Bimantoro Rosandy, Muhammad Wahyu Royan Fathona Saika Damaiyanti Sallaby, Achmad Fikri Sander, Vobey Alex Sapri , Sapri Saputra, Muhammad Azan Dwi Saputra, Robi Sari, Tengsi Mayang Nopita Sari, Venny Novita Sartika , Devi Sartika, Devi Sedduantara, Sedduantara Sellia Yulan Fitri Seno Pratomo Silvia Wahyu Hastuti Sinria Oktama Putri Subagia, Nyoman Gede Sucipto , Dovi Adi Sumantri, Ajis Suwarni Tengsi Mayang Nopita Sari Tessa, Prara Sindia Citra Tito Irwanto Toibah Umi Kalsum Ulva, Marya Vobey Alex Sander Wahyudi Wahyudi Wahyuni, Mera Wijaya, Ermy Yanolanda Suzantri H Yanto Efendi Yolanda, Dwi yono, Hari Aspri Yuisar Yuisar Yupianti Yupianti , Yupianti Yupianti Yupianti Yupianti, Yupianti Yupianti, Yupianti