Garuda - Garba Rujukan Digital

p-Index From 2021 - 2026

2.854

P-Index

This Author published in this journals

All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Jurnal Media Infotama Jurnal Informatika E-Dimas: Jurnal Pengabdian kepada Masyarakat Jurnal Teknologi dan Sistem Komputer Jurnal Pengabdian Pada Masyarakat Abdimas Dewantara JMM (Jurnal Masyarakat Mandiri) SINTECH (Science and Information Technology) Journal Jiko (Jurnal Informatika dan komputer) JOURNAL OF SCIENCE AND SOCIAL RESEARCH Dharma Raflesia : Jurnal Ilmiah Pengembangan dan Penerapan IPTEKS GATOTKACA Journal (Teknik Sipil, Informatika, Mesin dan Arsitektur) Jurnal Abdi Masyarakat Indonesia Jurnal Komputer, Informasi dan Teknologi Jurnal Multidisiplin Dehasen (MUDE) Jurnal Media Computer Science

Dewi Suranti

Department Of Informatics, Faculty Of Computer Science, Universitas Dehasen Bengkulu

Author-ID : 2582434

Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts 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 Dentistry Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Physics Public Health Social Sciences Transportation Veterinary Other

Published : 26 Documents Claim Missing Document

Claim Missing Document

Articles

1 2 3

WORKSHOP PENGENALAN DAN PEMANFAATAN DATA SAINS PADA BIDANG PENDIDIKAN Dewi Suranti; Juju Jumadi; Abdussalam Al Akbar; Deri Lianda; M Dicky Imansyah
JMM (Jurnal Masyarakat Mandiri) Vol 6, No 3 (2022): Juni
Publisher : Universitas Muhammadiyah Mataram

Abstrak: Perkembangan teknologi tidak dapat dipisahkan dengan dunia internet. Informasi yang yang disajikan saat ini sudah sangat global dan on time sehingga informasi terupdate dan ketersedian data di segala bidang sangat berlimpah, akan sangat berguna dan bermanfaat jika kita dapat mengolah untuk menemukan insights dari data berupa informasi penting yang akan bermanfaat dalam mengambil keputusan. Berdasarkan hasil observasi, diperoleh informasi bahwa mitra membutuhkan kegiatan yang dapat menumbuhkan dan memberikan pengetahuan kepada mitra berkaitan dengan data science yaitu keterampilan/kemampuan mengimplemntasikan tiga pilar ilmu matematika, statistika, dan komputer (pemrograman) berkolaborasi dengan tujuan membuat proses pengolahan data lebih efisien dan akurat serta menghasilkan keputusan yang tepat bagi pengambil kebijakan. Kegiatan dilakukan dengan workshop pengenalan dan pemanfatan data science. Tujuan kegiatan untuk memberikan pemahaman kepada mitra terkait Data Science dan pemanfaatan dalam bidang pendidikan. Berdasarkan hasil evaluasi dan umpan balik, kegiatan ini sangat memberikan manfaat bagi peserta dengan meningkatnya pengetahuan dan pemahaman peserta sebesar 78% berkaitan dengan data science. Dengan memanfaatkan data science maka mereka dapat menemukan insights/pengetahuan dari data tersebut dalam pengambilan keputusan.Abstract: Technological developments cannot be separated from the world of the internet. The information presented today is very global and on time so that there is updated information and the availability of data in all fields is very abundant, it will be very useful and beneficial if we can process it to find insights from the data in the form of important information that will be useful in making decisions. Based on observations, information was obtained that partners need activities that can grow and provide knowledge to partners related to data science, namely skills/abilities to implement the three pillars of mathematics, statistics, and computers (programming) in collaboration with the aim of making data processing more efficient and accurate and produce the right decisions for policy makers. The activity was carried out with a workshop on the introduction and use of data science. The purpose of the activity is to provide understanding to partners regarding Data Science and its use in the field of education. Based on the results of the evaluation and feedback, this activity was very beneficial for the participants by increasing the knowledge and understanding of participants by 78% related to data science. By utilizing data science, they can find insights/knowledge from the data in making decisions.

An Expert System to Diagnose Diseases Caused by Coxsackie Virus in Children Rendis Rendis; Dewi Suranti; Eko Suryana
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 1 No. 2 (2021): DESEMBER
Publisher : Penerbit ADM

The purpose of this study is to create an expert system application that can be used to diagnose diseases caused by the coxsackie virus in children using the certainty factor method. Viral infectious disease is a collection of types of diseases caused by viruses that easily attack children. Diseases that often occur in children are caused by very vulnerable viruses, this is because the immune system in the child's body has not been fully developed. One of the viruses that often attack children, among others, is the Coxsackie Virus. Coxsackie is a type of disease caused by the Coxsackie virus, which is a type of RNA virus. This virus is transmitted through the fecal oral route, namely bacteria from feces or feces that move from one person to another and enter the mouth of the other person. This system is designed using PHP Programming Language and MySQL Database. With this expert system, it is easier for users to consult about diseases caused by the Coxsackie Virus in children.

Pendampingan Siswa SMKN 02 Bengkulu Tengah dalam Upaya Pemanfaatan Media Penyimpanan Berbasis Cloud Dewi Suranti; Yupianti Yupianti; Syisva Nurwita; Satrio Candiago; Pardi Hardianto
Jurnal Abdi Masyarakat Indonesia Vol 1 No 2 (2021): JAMSI - November 2021
Publisher : CV Firmos

Perkembangan teknologi ini membuat semua aktifitas yang dilakukan lebih cepat, mudah dan semua informasi yang yang tersebar sangat berlimpah yang dengan sangat mudah dapat kita akses. Salah satu pemanfaatan perkembangan yang dapat mempermudah pekerjaan teknologi yang sedang berkembang saat ini adalah cloud computing. Data yang disimpan pada cloud storage akan dapat diakses dimana saja serta kapanpun. Namun berdasarkan hasil observasi dan wawancara yang dilakukan ke mita pengabdian diperoleh informasi bahwa sebagian siswa belum memahami penggunaan, pengoperasian media penyimpanan berbasis online dalam kehidupan. Kegiatan pengabdian dilakukan dengan metode ceramah, pendampingan dan praktik langsung yang bertujuan untuk memberikan Knowledge kepada peserta didik dalam pemanfaatan media penyimpanan berbasis cloud yang sangat bermanfaat guna meningkatkan pengetahuan, pemahaman dalam pemanfaatan media penyimpanan berbasis cloud yang berguna di dalam dunia pendidikan dan kehidupan sehari-hari. Pelaksanaan kegiatan berlangsung dengan baik dan lancar serta kegiatan pengabdian ini dapat berjalan sesuai dengan rencana kegiatan. Hasil kegiatan ini memberikan banyak manfaat bagi siswa-siswi SMK N 02 Bengkulu Tengah dalam upaya pemanfaatan media penyimpanan berbasis cloud. Berdasarkan hasil evaluasi disimpulkan bahwa peserta kegiatan sangat tertarik mengikuti pendampingan guna menambah wawasan tentang media penyimpanan berbasis cloud yang sangat dibutuhkan di dalam era revolusi industri.

The Expert System For Diagnosing Lovebird Diseases By Algorithm Certainty Factor Baggash Adytia Pratama; Dewi Suranti; Lena Elfianty
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 1 No. 1 (2021): JUNI
Publisher : Penerbit ADM

This study aims to diagnose disease in lovebirds using the Certainty Factor Algorithm. Lovebird is a type of bird that is much favored by the public. Lovebird is known as a race bird that has a unique song. However, the lack of knowledge of treatment for lovebirds if they are sick. Therefore, an expert system was designed to diagnose lovebird disease with the Certainty Factor method. This expert system is expected to be used by bird lovers. Love Bird. This expert system is designed using the PHP programming language and MySQL database. The expert system created can make it easy for users to consult about lovebird diseases online. The research method used by the author is the waterfall method. The application of the Certainty Factor method in this Lovebird expert system can be used in determining Lovebird disease. So that this expert system can be used as a tool in diagnosing disease in Lovebird. The MySQL database can accommodate information and data from users who consult with this expert system. Based on the results of the tests that have been carried out, the expert system for diagnosing Lovebird disease can provide convenience for users to consult about Lovebird disease.

PEMBERDAYAAN KELOMPOK PEREMPUAN MELALUI PENINGKATAN PRODUK LOKAL DI KECAMATAN SUKARAJA KABUPATEN SELUMA PROVINSI BENGKULU Hesti Nur'aini; Lina Widawati; Dewi Suranti
DHARMA RAFLESIA Vol 15, No 2 (2017): DESEMBER
Publisher : Universitas Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33369/dr.v15i2.4054

Bukit Peninjauan II and Sido Luhur village are located in Sukaraja Sub District Seluma District Bengkulu Province with low economic growth. The community professions of Bukit Peninjauan II and Sido Luhur village are farmers and construction workers, while the majority of women act as housewives or unskilled laborers, resulting in a relatively low level of community welfare. The purpose of this community service activity is to establish a food processing business unit (carrot sticks, sweet potato sticks, ebi macaroni and sweet potato macaroni, and increasing skills and knowledge of woman group members about food processing). The result of this activity is small business in processing of carrot sticks, sweet potato sticks, sweet potato macaroni and ebi macaroni which is managed by Mawar Melati (Bukit Peninjauan II) and Mandiri Jaya (Sido Luhur), with the trademark Mawar Melati and Bintang Rafflesia. In addition to counseling and production process training, team together with partners also make the formation of packaging and labeling design, the provision of assistance of production tools and the application of marketing methods in the form of blogspot and socialization of small industry financial management.Keywords: local product, woman groups, small business

Application Of Study Time Prediction Management Study Program Faculty Of Economics Dehasen University Bengkulu Using Naive Bayes Method Dzaki Muhammad Alwan; Dewi Suranti; Rizka Tri Alinse
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

The Management Study Program is one of the Strata 1 (S-1) study programs located at the Faculty of Economics, Dehasen University, Bengkulu. Students who graduate with a study period of 7 semesters to less than 8 semesters, 8 semesters and more than 8 semesters have different grades. The success of students completing their study period cannot be separated from the factor of the study plan prepared by the Head of the Study Program. The number of students who will conduct consultations on study plans, makes the study program overwhelmed and requires quite a lot of time to help provide information on the future of study. Therefore, we need a system that can help provide recommendations for predicting the results of the study period for each student automatically. The application for predicting the study period of students in the Management Study Program, Faculty of Economics, University of Dehasen Bengkulu, was created to help provide recommendations for predicting study period results for each student automatically by applying the Naive Bayes Method. The classification is divided into 3 parts, namely students who graduate early (7 semesters to less than 8 semesters), students who graduate on time (8 semesters) and students who graduate not on time (more than 8 semesters). Based on student grade data in 2019, the results of the prediction for the study period of 30 students were obtained, namely 22 people graduating faster, 2 people graduating on time, and 6 people graduating not on time..

Implementation Of Data Mining Using Algorithms A Priori in Determining The Pattern Of Product Purchases Perfume Sold Case Study On (Rafflesia Aromatic Professional Perfume) Kadek Dwi Andi Sasrawan; Dewi Suranti; Ila Yati Beti
Jurnal Media Computer Science Vol 1 No 2 (2022): Juli
Publisher : Fakultas Ilmu Komputer Universitas Dehasen Bengkulu

At the rafflesia aromatic professional perfume store, we have not used a special application in determining the purchase pattern of perfume products sold and still use manual data processing such as writing in books, and do not utilize existing sales data and sales data only as an archive. So tejadi accumulation of data that is not in the know the benefits. Basically, the data set has useful information to make a decision about the pattern of perfume sales that are sold. One method that can solve the above problems is the Apriori algorithm method. Because the apriori algorithm is a suitable algorithm used to determine the search for Frequent itemsets using the Assciation rule technique with transaction data that is used for 1 month (January 1, 2022 – January 30, 2022).With the amount of 25 data from 15 transactions, support items can be displayed minimum support Value = 10% as many as 10 perfumes consisting of Celebrity, Citra Edition , Alasca , Topaza , Rock Star ,Be Delicitions , La Verne , B Agua Marine, Jasmin Note , and garuda. For a combination of 2 itemset is to use support 15% which consists of, Celebrity-Citra Edition, Celebrity-Alasca, Topaza-Rock Star, Rock Star-be Delicitionse, La Verne-B aqua Marine, B aqua Marine- Jasmine Note, then look for the rules of association that can meet the minimum requirement for confidence is to calculate the confidence associative rules based on a ❸ ( ❸ ) B with a minimum value of support taken is 20%, then that meets that there is a perfume most purchased by consumers is Citra edication, celebrity, alasca ,celebrity topaza, rock star the minimum value of support taken is 20%, then that there is a perfume most purchased by consumers is Citra edication, celebrity, alasca ,celebrity topaza, rock star.

A Decision Support System For The Selection Of Exemplary Students With AHP Method At SMP IT Generasi Rabbani Of Bengkulu City Wansa S Junizar; Dewi Suranti; Hendri Alamsyah
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 2 No. 1 (2022): JUNI
Publisher : Penerbit ADM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i1.788

To increase the enthusiasm of the students of SMP IT Generasi Rabbani Bengkulu, the school gave awards to exemplary students. By making an assessment of Morals, Academics and Worship. However, to determine the model students of SMP IT Generasi Rabbani Bengkulu, so far, they still use the manual calculation method which takes a lot of time and the risk of calculation errors is large. One method that can be used to solve the problem is the Analytical Hierarchy Process (AHP) method, because the AHP method is able to solve multicriteria problems with the stages of determining the priority of elements, making a pairwise comparison matrix of criteria and sub-criteria, normalizing the matrix, as well as ranking and decision results. This study aims to build a decision support system application for selecting exemplary students using Visual Basic. Net and SQL Server 2008r2 Database at SMP IT Generasi Rabbani Bengkulu therefore it can help the school to determine and select prospective exemplary students quickly and accurately based on predetermined criteria. From the results of functional testing carried out on the application, it is found that some of the functions contained in the application can run well. And the results of the comparison show that there are differences in the value of each student and are able to provide a ranking order of student scores from the highest to the lowest score. Based on the results of research conducted, the AHP method is able to provide convenience in the decision-making process quickly and precisely for the selection of exemplary students therefore the highest score is 0.53 and the lowest value is 0.24.

Application of the Multiple Linear Regression Method in Forecasting the Amount of Drug Supply at the Health Center Riki Ternando; Jusuf Wahyudi; Dewi Suranti
Jurnal Komputer, Informasi dan Teknologi (JKOMITEK) Vol. 2 No. 2 (2022): Desember
Publisher : Penerbit ADM

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53697/jkomitek.v2i2.1043

Sukamerindu Health Center is one of the health centers in the city of Bengkulu. Drug management at the puskesmas has utilized an office application package, namely excel, but this utilization has not been fully implemented, because there is still a manual process where drug data collection is filled in through the books that have been provided, then only recapitulated at the end of the month. This sometimes makes it difficult for the puskesmas to manage the availability of drugs at the puskesmas. The application for forecasting the amount of drug supply at the UPTD Sukamerindu Health Center in Bengkulu City was made using the Visual Basic .Net programming language by applying the Multiple Linear Regression Method for the forecasting process. In determining the results of the forecast for the following month and year, there are 3 supporting variables used, namely demand, use, and supply of drugs in the previous month and year. Based on data on the 500 mg Amoxicillin Capsule, where there were 36 data analyzed from January 2019 to December 2021, the prediction results for the number of drug supplies in January 2022 using the Multiple Linear Regression Method were 13066, with a prediction error rate of 7.10%. . Based on testing the application for forecasting the amount of drug inventory at the UPTD Puskesmas Sukamerindu, Bengkulu City, it was found that the functionality of the application ran according to expectations .

Penguatan Teknologi Informasi di Era Revolusi Industri pada Siswa SMK N 02 Bengkulu Tengah Dewi Suranti; Maryaningsih Maryaningsih; Yode Arliando; Dian Mardianti
E-Dimas: Jurnal Pengabdian kepada Masyarakat Vol 13, No 4 (2022): E-DIMAS
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/e-dimas.v13i4.11536

Peranan teknologi informasi dan komunikasi merupakan unsur terpenting dalam aktivitas manusia. Terbukti dalam berbagai sektor kehidupan, teknologi informasi telah memberikan perubahan yang sangat besar dan memberikan kontribusi fasilitas utama dalam perubahan sektor kehidupan manusia dan dalam mengubah pola pikir manusia. Hal ini juga terjadi dalam dunia pendidikan dan menjadi tantangan tersendiri mengingat revolusi sistem pembelajaran ini akan berdampak pada peserta didik. Dari hasil observasi diperoleh informasi bahwa dalam menghadapi revolusi 4.0 perlu adanya kesiapan generasi milenial dalam menghadapi perubahan tersebut. Mengingat pentingnya kesiapan generasi milenial khususnya siswa SMK N 02 Bengkulu Tengah dalam menghadapi revolusi industri 4.0, maka perlu diberikan pengetahuan dan pemahaman kepada siswa SMK N 02 Bengkulu Tengah tentang perkembangan teknologi di era revolusi industri. Kegiatan pengabdian ini bertujuan untuk memberikan pengetahuan dan pemahaman mengenai perkembangan teknologi informasi di era revolusi 4.0 saat ini. Kegiatan dilakukan dengan menggunakan metode ceramah berupa kegiatan penyuluhan. Berdasarkan hasil evaluasi bahwa kegiatan pengabdian ini memberikan pengetahuan baru bagi peserta dalam memahami perkembangan teknologi informasi di era revolusi industri.

Co-Authors Abdussalam Al Akbar Aji Sudarsono Aziz Ali Mahendra Baggash Adytia Pratama Dian Mardianti Dian Mardianti Dzaki Muhammad Alwan Eko Suryana Evi Andriani Fredricka, Jhoanne Guritno Adianto Hari Aspriyono Hendri Alamsyah Herlina Latifa Sari Herlina Latipa Sari Hesti Nur’aini Ila Yati Beti Jepri Haji Utama Juju Jumadi Jusuf Wahyudi Kadek Dwi Andi Sasrawan Lena Elfianty Lianda, Deri Lina Widawati Liza Yulianti M Dicky Imansyah Maryaningsih Maryaningsih Pardi Hardianto Rahmat Budianto Rendis Rendis Reno Supardi Ricky Zulfiandry Riki Ternando Rizka Tri Alinse Robby Andika Rosi Rahmadi Syahputra Sahlino Sahlino Satrio Candiago Suci Permata Sary syisva nurwita Venny Novita Sari Wansa S Junizar Yode Arliando Yupianti, Yupianti

Title

Found 26 Documents
Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title Search

Found 26 Documents Search

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Title

Found 26 Documents
Search