Articles
<![CDATA[Sistem Pendukung Keputusan Penentuan Paud Terbaik Dengan Menggunakan Metode AHP ]]>
<![CDATA[Maryanigsih, Maryanigsih]]>;
<![CDATA[Fredricka, Jhoanne]]>;
<![CDATA[Sari, Novita]]>
<![CDATA[ Inspiration: Jurnal Teknologi Informasi dan Komunikasi Vol 11, No 2 (2021): Jurnal Inspiration Volume 11 Issue 2 ]]>
Publisher : <![CDATA[STMIK AKBA ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.35585/inspir.v11i2.2665
<![CDATA[Setiap awal tahun ajaran baru setiap orang tua yang mempunyai anak usia dini selalu dihadapkan kepada persoalan memilih sekolah yang terbaik diantara sekolah PAUD yang ada. Dalam memilih pendidikan untuk anak usia dini yang baik dan tepat tentu bukanlah suatu hal yang mudah. Kesulitan tersebut disebabkan karena banyaknya kriteria yang ingin dipenuhi oleh orang tua sehingga diharapkan dapat memilih PAUD yang terbaik. Sistem Pendukung Keputusan (SPK) dapat menjadi solusi untuk memberikan pertimbangan kepada orang tua pada proses pemilihan PAUD terbaik. Metode SPK yang digunakan adalah Metode Analytical Hierarchy Process (AHP). Analytical Hierarchy Process (AHP) merupakan metode yang memiliki struktur yang berhirarki serta memberikan kemudahan dalam menyederhanakan suatu permasalahan dari kriteria yang kompleks dengan berbagai pilihan alternatif yang ada, sehingga dapat mempercepat proses pengambilan keputusan dalam pemilihan PAUD. Kriteria yang digunakan dalam melakukan pemilihan PAUD terbaik ini terdiri dari 6 ( enam) kriteria yaitu akreditasi, sarana prasarana, biaya SPP, kurikulum, jumlah guru dan jumlah siswa. Hasil akhir dari pengolahan data dan pengujian dengan menggunakan metode Analytical Hierarchy Process (AHP) dapat ditentukan bahwa PAUD terbaik yaitu PAUD RA Al Haq dengan hasil perhitungan nilai akhir tertinggi yaitu sebesar 0, 565 atau 56,5 %.Kata kunci: SPK, AHP, PAUD.]]>
<![CDATA[Decision Support System in Scholarship Acceptance Selection Using The Vikor Method ]]>
<![CDATA[Venny Novita Sari]]>;
<![CDATA[Feri Hari Utami]]>;
<![CDATA[Asnawati]]>;
<![CDATA[Yupianti]]>;
<![CDATA[Rizka Tri Alinse]]>;
<![CDATA[Jhoanne Fredricka]]>
<![CDATA[ Indonesian Journal of Engineering Research Vol 2 No 2 (2021): Indonesian Journal of Engineering Research ]]>
Publisher : <![CDATA[Future Science ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.11594/10.11594/ijer.02.02.03
<![CDATA[This study aims to apply the vikor method in the selection of scholarship receipts at Bengkulu Dehasen University. Designing the process by describing how the VIKOR (Visekriterijumsko Kompromisno Rangeranje) method should be used based on criteria (indications, achievements, credits and living expenses) fulfilled by prospective scholarship recipients in accordance with the provisions of Dehasen Bengkulu University in selecting scholarship acceptance. Based on the results obtained it can be proven that the condition of Acceptable stability in decision making is fulfilled (Namely a smaller value than 1) and Intan P Can be proposed to be a compromise solution which is the best ranking of scholarship recipients ranking by this VIKOR (Visekriterijumsko Kompromisno Rangeranje) method.]]>
<![CDATA[Sosialisasi Pentingnya Keamanan Digital di Era Revolusi Industri 4.0 di Desa Gajah Mati Bengkulu Tengah ]]>
<![CDATA[Toibah Umi Kalsum]]>;
<![CDATA[Jhoanne Fredricka]]>;
<![CDATA[Liza Yulianti]]>;
<![CDATA[Indra Kanedi]]>;
<![CDATA[Aji Sukmo]]>
<![CDATA[ Jurnal Dehasen Untuk Negeri Vol 1 No 1 (2022): Januari ]]>
Publisher : <![CDATA[Universitas Dehasen Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (677.053 KB)
|
DOI: 10.37676/jdun.v1i1.1926
<![CDATA[This community service activity in the form of socializing the importance of digital security in the era of the industrial revolution 4.0 aims to help the residents of Gajah Mati village, Central Bengkulu, in getting information about technological advances and how to maintain digital security. The subjects in this service activity were the Head of Gajah Mati Village and his apparatus and all residents of Gajah Mati Village, Central Bengkulu. This socialization process is carried out by providing information about security and prevention in the face of technological advances and fraudulent fraud in cyberspace. The result of this community service activity is that it can help villagers know about technological advances, how to deal with various kinds of online fraud so that they can slightly reduce victims of cybercrime. The conclusion of this community service activity in Gajah Mati Village, Central Bengkulu, is that it can provide information about technological advances, use technology, one of which is the use of Android smartphones, and help the community in dealing with fraud - fraud in cyberspace so that citizens can think smart if face the problem of fraud - fraud in cyberspace because they have received information and how to overcome it through this socialization. So the victims of crimes in cyberspace are slightly reduced.]]>
<![CDATA[Decision Support System Appointment Of Permanent Employees With Analytical Hierarchy Process Method ]]>
<![CDATA[M. Ajis Akbar Kurniawan]]>;
<![CDATA[Siswanto, Siswanto,]]>;
<![CDATA[Jhoanne Fredricka]]>
<![CDATA[ Jurnal Media Computer Science Vol 1 No 2 (2022): Juli ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer Universitas Dehasen Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (861.086 KB)
|
DOI: 10.37676/jmcs.v1i2.2693
<![CDATA[The appraisal system for the appointment of training employees to permanent employees at Rakyat Bengkulu Television (RBTV) has not been computerized and is still done manually through an assessment form that has been provided to give each training employee a score that has been seen for the last 3 months. This takes a long time to find out who is eligible to be appointed as permanent employees. The Decision Support System for the appointment of permanent employees at the Bengkulu Rakyat Televisi (RBTV) Bengkulu 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, namely Analytical Hierarchy Process (AHP) has been applied. This Decision Support System for the appointment of permanent employees at the Bengkulu Rakyat Televisi (RBTV) Bengkulu can assist the employee appraisal process and provide recommendations for those who are eligible to be appointed as permanent employees. As for the test results in 2018 using the AHP Method, it was found that 3 employees had the highest scores out of 10 employees, namely Galeh Fajar (87.81), Retno Setiawan (85.57), and Richo Rieo (85.5).]]>
<![CDATA[The Implementation Of The Exponential Smoothing Method In Forecasting The Number Of Students At Smk Negeri 3 Bengkulu ]]>
<![CDATA[Fezi Fadwa Rendika]]>;
<![CDATA[Liza Yulianti]]>;
<![CDATA[Jhoanne Fredricka]]>
<![CDATA[ Jurnal Media Computer Science Vol 1 No 2 (2022): Juli ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer Universitas Dehasen Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (602.943 KB)
|
DOI: 10.37676/jmcs.v1i2.2695
<![CDATA[The admission of new students is a routine activity every Academic Year carried out at schools. SMK Negeri 3 Bengkulu City is one of the State Vocational Schools in Bengkulu City which every Academic Year accepts new students. Based on data obtained from the 2011/2012 Academic Year to the 2021/2022, it shows that the level of the number of students sometimes decreases and also increases. This fluctuating pattern of student numbers is a problem faced by SMK Negeri 3 Bengkulu City in determining strategic steps and policies from schools in dealing with PPDB (New Student Admission) in every academic year. The application for forecasting the number of students at SMK Negeri 3 Bengkulu City is an application that can help schools find out how many students there will be in the coming school year based on the results of the analysis conducted from the previous trend data. Forecasting analysis is carried out through Exponential Smoothing Method approach. The results of the tests carried out obtained forecasting results in 2022/2023 academic year as many as 474 students.]]>
<![CDATA[Sistem Digitalisasi di Era Revolusi 5.0 ]]>
<![CDATA[Lena Elfianty]]>;
<![CDATA[Jhoanne Fredricka]]>;
<![CDATA[Achmad Fikri Sallaby]]>;
<![CDATA[Nofi Qurniati]]>;
<![CDATA[Juju Jumadi]]>;
<![CDATA[Annisa Putri Pratiwi]]>
<![CDATA[ Jurnal Dehasen Untuk Negeri Vol 1 No 2 (2022): Juli ]]>
Publisher : <![CDATA[Universitas Dehasen Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37676/jdun.v1i2.2836
<![CDATA[This community service activity in the form of socializing the digitalization system in the 5.0 revolution era aims to help students at SMA Negeri 3 Seluma in getting information about technological advances related to digitalization in the 5.0 revolution era. The subjects in this service activity are students of SMA Negeri 3 Seluma. This socialization process is carried out by providing information about artificial intelligence that pays attention to the human side and will transform millions of data collected through the internet in all areas of life. The results of this community service activity are so that students can be better prepared to face the era of revolution 5.0 in Indonesia by utilizing existing Human Resources (HR) because domestic human resources are no less qualified than foreign human resources, it is also expected that with the 5.0 Revolution This can develop human resources in Indonesia. The conclusion of this community service activity at SMA Negeri 3 Seluma is that the younger generation of students at SMA Negeri 3 Seluma Bengkulu Selatan have creative and inspiring behavior, tend to build their learning patterns with strong interpersonal skills. Young generations who are creative, innovative and productive, from an early age need to be enriched with soft skills as contained in the 5.0 revolution. Of course, this plenary ability is expected to succeed in winning the competition in the disruptive era and the world without borders.]]>
<![CDATA[Application Of Importance Performance Analysis Method In Measuring Satisfaction Level Students On Learning In School ]]>
<![CDATA[David Tri Julian]]>;
<![CDATA[Herlina Latipa Sari]]>;
<![CDATA[Jhoanne Fredricka]]>
<![CDATA[ Jurnal Media Computer Science Vol 1 No 2 (2022): Juli ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer Universitas Dehasen Bengkulu ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
DOI: 10.37676/jmcs.v1i2.2709
<![CDATA[Pelita Kasih High School which is a private school located in Bengkulu City. So far, the learning process at Pelita Kasih High School often makes students feel bored and lack understanding and mastery of the material that has been taught. This makes the school, especially the teacher, must conduct an analysis to determine the level of student satisfaction with the learning system every semester. However, the obstacle that occurs is that Pelita Kasih High School does not yet have a forum that can help students to provide assessments related to learning satisfaction in schools that are ongoing per semester. Applications measuring the level of student satisfaction with learning at Pelita Kasih High School Bengkulu are used to assist the school in knowing the level of student satisfaction per semester per academic year based on filling out the questionnaire form that has been done by students. The application to measure the level of student satisfaction has applied the IPA (Importance Performance Analysis) method which is used to determine the level of suitability of respondents based on the level of interest and level of satisfaction that has been given by students. The application to measure the level of student satisfaction with learning at SMA Pelita Kasih Bengkulu was made using the Visual Basic .Net programming language. Based on the assessment of 18 students in the Even Semester of the 2021/2022 Academic Year, the average respondent suitability level (TKi) was 91.57% and showed that the level of student satisfaction with learning at school was very satisfied..]]>
<![CDATA[Implementasi Algortima C-Means Dan Algoritma Mixture Dalam Pengclusteran Data Mahasiswa Drop Out ]]>
<![CDATA[Jhoanne Fredricka]]>;
<![CDATA[Lena Elfianty]]>;
<![CDATA[Jusuf Wahyudi]]>
<![CDATA[ JUKI : Jurnal Komputer dan Informatika Vol. 4 No. 2 (2022): JUKI : Jurnal Komputer dan Informatika, Edisi November 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[Clustering merupakan salah satu metode machine learning dan termasuk dalam unsupervised learning. Tujuan dari clustering yaitu mencari pola data yang mirip sehingga memiliki kemungkinan dalam mengelompokan data data yang mirip. Banyak Algoritma yang dapat digunakan untuk melakukan proses clustering data. Algoritma C-Means dan algoritma Mixture merupakan bentuk algoritma yang dapat digunakan dalam melakukan proses clustering data.. Algoritma C-Means adalah suatu tehnik pengklusteran data yang mana keberadaan tiap – tiap titik data dalam suatu cluster ditentukan oleh derajat keanggotaan. Sedangkan Algoritma Mixture merupakan salah satu jenis data clustering dimana dalam permodelannya, data dalam satu kelompok diasumsikan terdistribusi sesuai dengan salah satu jenis distribusi statistik yang ada. Pada penelitian ini akan dilakukan perbandingan antara Algoritma C-Means dan Algoritma Mixture dalam hal klasterisasi data mahasiswa drop out, dengan melihat hasil performance vector yang di hasilkan pada metode c-means yaitu avg.within centroid distance pada setiap cluster , Sedangkan pada algoritma mixture melihat hasil performance vector dan jumlah number of clusters.]]>
<![CDATA[Penerapan Model Kooperatif Tipe Numbered Heads Together Menggunakan Aplikasi MATLAB dalam Pembelajaran Matematika ]]>
<![CDATA[Nofi Qurniati]]>;
<![CDATA[Jhoanne Fredricka]]>;
<![CDATA[Lena Elfianty]]>
<![CDATA[ JUKI : Jurnal Komputer dan Informatika Vol. 4 No. 2 (2022): JUKI : Jurnal Komputer dan Informatika, Edisi November 2022 ]]>
Publisher : <![CDATA[Yayasan Kita Menulis ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
<![CDATA[Belajar matematika di kelas selalu menggunakan metode konvensional sehingga dilakukan penelitian. Penelitian ini bertujuan untuk mengetahui motivasi belajar dan hasil belajar pada model pembelajaran Cooperative Numbered Heads Together menggunakan aplikasi MATLAB pada Pembelajaran Matematika Siswa .Metodologi yang digunakan dalam penelitian ini adalah desain eksperimen dengan desain The One Shot Case Study yaitu penelitian yang hanya dilakukan pada satu kelompok sampel.Subyek penelitian ini adalah siswa kelas X SMA Negeri 11 Padang.Data hasil belajar yang diperoleh dianalisis dengan menghitung skor masing-masing siswa.Kemudian tentukan jumlah siswa yang mencapai ketuntasan.sedangkan untuk motivasi belajar dianalisis dengan membandingkan penjumlahan skor angket motivasi awal dengan skor angket motivasi akhir siswa. Secara klasikal, dari 38 siswa yang mengikuti ujian akhir, 28 orang atau 73,68% telah mencapai ketuntasan. Motivasi belajar diperoleh 31 siswa yang motivasinya meningkat dan hanya 7 siswa yang motivasinya menurun.]]>
<![CDATA[Sistem Pendukung Keputusan Hasil Rekomendasi Jurusan Perguruan Tinggi Menggunakan Metode Naive Bayes dan AHP ]]>
<![CDATA[Devina Ninosari]]>;
<![CDATA[Jhoanne Fredricka]]>
<![CDATA[ SATIN - Sains dan Teknologi Informasi Vol 8 No 1 (2022): SATIN - Sains dan Teknologi Informasi ]]>
Publisher : <![CDATA[STMIK Amik Riau ]]>
Show Abstract
|
Download Original
|
Original Source
|
Check in Google Scholar
|
Full PDF (456.003 KB)
|
DOI: 10.33372/stn.v8i1.834
<![CDATA[Pada penelitian ini peneliti menggabungkan algoritma naïve bayes dan Analytical Hierarchi Proses untuk membantu calon mahasiswa baru dalam memilih jurusan pada perguruan tinggi sesuai dengan kemampuan bidangya. Naïve bayes digunakan untuk memprediksi calon mahasiswa baru diterima atau tidak diterima, setelah dinyatakan diterima maka akan dikalsifikasikan lagi potensi diterima dan tidak diterima dengan tiga potensi tinggi, sedang dan rendah. Setelah didapatkan potensi maka akan dijadikan salah satu kriteria pada algoritma Analytical Hierarchy Proses untuk selanjutnya dapat mengahsilkan rekomendasi paling tinggi maka akan dijadikan rekomendasi jurusan calon mahasiswa baru. Setelah dilakukan penggabungan kedua metode antara Analytical Hierarchy Proses (AHP) dan Naïve bayes dan dilakukan pengujian secara berulang kali maka didapatkan hasil rekomendasi jurusan yang tepat untuk calon mahasiswa agar terhindar dari heregistrasi jurusan dan Droup out (DO). Akurasi yang dihasilkan pada metode naïve bayes tingkat akurasi yang paling tinggi sebesar 98% presisi sebesar 90% dan nilai eror sebesar 3% dari hassil rekomendasi pada algoritma Analytical Hierarchy Proses didaptkan nilai akurasi 93%, Sistem computer 90% dan akutansi 91, 76%.]]>
