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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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (557.411 KB) | DOI: 10.31764/jmm.v6i3.8415

Abstract

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.
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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (261.785 KB) | DOI: 10.54082/jamsi.129

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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.
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

Abstract

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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (708.696 KB) | DOI: 10.37676/jmcs.v1i2.2692

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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

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (724.976 KB) | DOI: 10.37676/jmcs.v1i2.2694

Abstract

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.
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

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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.
The Implementation Of Teacher Performance Assessment Through Promethee Method Approach (Case Study At Smkn 5 Seluma) Guritno Adianto; Dewi Suranti; Aji Sudarsono
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.v1i2.2703

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SMK Negeri 5 Seluma is one of the Vocational Schools in Seluma Regency, Bengkulu Province. At the school in every year a Teacher Performance Assessment or what is often referred to as PKG is carried out. There are 14 assessment criteria for teacher performance which are divided into 4 categories of assessment, namely Pedagogic, Personality, Social and Professional. So far, the processing of teacher performance assessment data has used the office application package, namely Excel (data attached) to provide grades and calculate the PKG scores obtained by the teacher in accordance with the applicable provisions. The implementation for assessing teacher performance at SMK Negeri 5 Seluma using Promethee Method was created using the Visual Basic.Net programming language (IDE Visual Studio 2010) and SQL Server 2008 database. The application for assessing teacher performance at SMK Negeri 5 Seluma it can be used as an alternative in helping to assess assessment of teachers in schools, so that it can be seen who has the best performance based on the ranking results obtained from the promethee. The application for assessing teacher performance at SMK Negeri 5 Seluma has applied Promethee method, so that the final assessment results for each teacher have gone through the calculation procedure for the Promethee method. The final assessment results will be sorted from the highest value to the lowest value by looking at the net flow value which is the result of subtracting the leaving flow and entering flow. Based on testing using 5 (five) teacher performance assessment data in 2019, the results obtained that Guru Isuadi, S.Pd got the highest score with a leaving flow value of 1.63, entering flow 1.63 and net flow 1.63. Based on the results of the same assessment on manual calculations, it is found that the results of calculations on the decision support system had the same value as the results of manual calculations that had been carried out. Applications can be used as an alternative in providing an assessment of teacher performance in schools.
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..
A Comparative Analysis Of Simple Additive Methods Weighting With Preference Selection Index In The Selection Of The Best Sales Rahmat Budianto; Dewi Suranti; Reno Supardi
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.v1i2.2741

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PT. Tunas Dwipa Matra Branch of Putri Hijau is a company engaged in the sale of motorcycles by cash and credit which is located in North Bengkulu Regency, Bengkulu Province. PT. Tunas Dwipa Matra needs a decision support system that can correct the weaknesses of the current system, namely data collection and sales selection which is still manual, namely by using a book, as a result, selecting the best salesperson takes a very long time. In fact, for the assessment of the best sales selection, accuracy and precision are needed, so that the results can be accepted by all sales and employees at PT. Tunas Dwipa Matra. The method used is Simple Additive Weighting and Preference Selection Index Method to assist company management in assessing the best sales performance of employees in the company. Besides that, PT. Tunas Dwipa Matra strives to improve various service facilities that are friendly to consumers so that sales targets can be achieved every year. Based on the results of system testing at P.T Tunas Dwipa Matra, it can be concluded that the application made is as expected and can help the process of selecting the best salesperson. And the best sales in 2021 is Fitri with SAW value: 79 and PSI value: 0.832597
IMPLEMENTASI METODE WEIGHT AGREGATED SUM PRODUCT ASSESMENT (WASPAS) UNTUK PENILAIAN KINERJA NON PEGAWAI NEGERI SIPIL PADA DINAS KELAUTAN DAN PERIKANAN PROVINSI BENGKULU Robby Andika; Dewi Suranti; Deri Lianda
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 6, No 2 (2023): June 2023
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v6i2.1348

Abstract

Abstract: Non PNS Employee Performance Assessment aims to find employees who have profiles that match the criteria. Another problem that occurs is the difficulty of selecting non-PNS employees properly and fairly due to the diversity of educational backgrounds, experience, competencies and employee portfolios so that it becomes a concern in determining whether or not employees are eligible to receive benefits outside of the basic salary. To overcome these constraints, a decision support system using the WASPAS method is needed to be used as an additional medium to support the decision-making process. The SMART method searches for the most suitable alternative priority by using weighting. System implementation uses the Visual Basic 2010 programming language and the method used in this study is the waterfall method. From the results of the tests carried out, it can be concluded that evaluating the performance of non-PNS employees using WASPAS can be carried out properly by taking the top number of employees from the WASPAS ranking process which can then be reported in the form of a report on the results of evaluating the performance of non-PNS employees.Keywords: performance; WASPAS; decision support system Abstrak: Penilaian kinerja Pegawai Non PNS bertujuan untuk mencari pegawai yang memiliki profil sesuai dengan kriteria ketentuan. Masalah lain yang terjadi adalah sulitnya menyeleksi pegawai Non PNS dengan baik dan adil dikarenakan keragaman latar belakang pendidikan, pengalaman, kompetensi serta portofolio karyawan sehingga menjadi perhatian dalam menentukan pegawai yang layak atau tidak untuk mendapatkan tunjangan diluar gaji pokok. Untuk mengatasi kendala-kendala tersebut maka dibutuhkan suatu sistem pendukung keputusan metode WASPAS untuk dimanfaatkan sebagai media tambahan dalam menunjang proses pengambilan keputusan. Metode SMART mencari prioritas pilihan alternatif yang paling sesuai dengan menggunakan pembobotan. Implementasi sistem menggunakan bahasa pemrograman Visual Basic 2010 dan metode yang digunakan dalam penelitian ini adalah metode waterfall. Dari hasil pengujian yang dilakukan dapat disimpulkan adalah penilaian kinerja pegawai Non PNS menggunakan WASPAS dapat dilakukan dengan baik dengan mengambil jumlah karyawan teratas dari proses perankingan WASPAS yang kemudian dapat dilaporkan dalam bentuk laporan hasil penilaian kinerja pegawai Non PNS.Kata kunci: kinerja; WASPAS; sistem pendukung keputusan