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Journal of Technopreneurship and Information System (JTIS)
Published by Universitas Muhammadiyah Bengkulu
ISSN : 26143070     EISSN : 26143089     DOI : -
Core Subject : Science,
Computer Science & IT
Jurnal terbitan dibawah fakultas teknik universitas muhammadiyah bengkulu. Pada jurnal ini akan membahas tema tentag Penelitian yang bertemakan dengan technopreneurship, basis data, big data, data mining, dan yang berhubungan dengan sistem informasi.
Arjuna Subject : -
Articles 5 Documents
 1 
Search results for , issue "Vol 6 No 3 (2023): Desember" : 5 Documents clear
Penerapan Metode Analytical Hierarchy Process (Ahp) Pada Sistem pendukung keputusan Penentuan Taman Kanak-Kanak Delsiana Bili delsi; Gergorius Kopong Pati; Dian Fransiska Ledi
Journal of Technopreneurship and Information System (JTIS) Vol 6 No 3 (2023): Desember
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jtis.v6i3.5800

Abstract

The problem of parents who have young children at the beginning of each new school year is choosing a kindergarten school. Choosing a school in early childhood is not a young thing because there are many difficulties caused by criteria that parents must know. The Decision Support System (SPK) is a solution in providing considerations to parents in choosing a kindergarten school. Analytical Hierarchy Process (AHP) is a method that has a hierarchical structure and makes it easy to simplify a problem from complex criteria with various alternative options available, so that it can speed up the decision-making process in selecting a Kindergarten. The criteria used in selecting the best Kindergarten consist of 6 (six) criteria, namely accreditation, infrastructure, tuition fees, curriculum, number of teachers and number of students. The final result of data processing and testing using the Analytical Hierarchy Process (AHP) method can be determined that the best Kindergarten is Waikalasung with the highest final score calculation result of 1 or 3.83%.
Efektivitas Video Edukasi Materi Perkalian Matriks Sularsa; Ismail Rusli; Aprianti Putri Sujana
Journal of Technopreneurship and Information System (JTIS) Vol 6 No 3 (2023): Desember
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jtis.v6i3.5870

Abstract

In learning, videos can help students understand material more easily. Especially if the video contains animations explaining abstract concepts. In this study, we conducted a survey to find out which subjects are considered the most difficult by students of SMK Teknologi Karawang. From the preliminary survey, we found that Mathematics is one of the most difficult subjects with matrix material being the most difficult material. For this reason, we created an example of an educational video to explain the concept of matrix multiplication through animation. To find out the effectiveness of the video that has been created, we conducted testing on 23 students. The 23 students were asked to do questions before and after watching the video. From the test results, it was found that the video increased the average student grade by 274%. Of course, these results cannot be generalized. Further testing is needed. For this reason, we plan to continue making videos of other materials and test them for a longer duration in the same place.
Penerapan Metode K-Means Untuk Menampilkan Tingkat Prestasi Siswa SDN 08 Kabupaten Lebong Nandra Romelyan; Indra Kanedi; Achmad Fikri Sallaby
Journal of Technopreneurship and Information System (JTIS) Vol 6 No 3 (2023): Desember
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jtis.v6i3.5919

Abstract

Sekolah adalah tempat para pelajar untuk menempuh pendidikannya. Pada Sekolah dasar inilah merupakan jenjang pendidikan dasar pertama pada pendidikan formal. Tingkat prestasi siswa merupakan salah satu tolak ukur dari hasil pencapaian pelajar. Dengan tingkat prestasi dapat diketahui seberapa jauh seorang pelajar dapat menyerap dan memahami pelajaran yang dia dapatkan. Berdasarkan tingkat prestasi pelajar juga dapat diketahui keberhasil guru dalam menyampaikan materi. Banyakanya jumlah siswa yang cukup banyak tentunya pemantauan yang dilakukan secara manual tentunya kurang efektif, sehingga peserta didik yang nilai akademiknya baik jika dilakukan secara manual. Untuk mengantisipasi hal tersebut diperlukan metode untuk mengelompokkan peserta didik berprestasi. Salah satu metode pengelompokkan adalah Data Mining.Algoritma K-Means merupakan bentuk dari clustering yang membagi data kedalam satu atau lebih cluster. Dengan algoritma K-Means nilai akademik pelajar akan menjadi nilai centroid atau titik tengah suatu cluster.
Implementasi Metode Kruskal dan Open Street Map Pada Pencarian Lokasi Anjungan Tunai Mandiri (ATM) Kota Bengkulu Kirman, MKom; Feri Kurniawan
Journal of Technopreneurship and Information System (JTIS) Vol 6 No 3 (2023): Desember
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jtis.v6i3.5928

Abstract

Salah satu fasilitas umum yang paling sering dicari oleh masyarakat adalah mesin ATM (Anjungan Tunai Mandiri). Mesin ATM adalah suatu alat el-ektronik yang dapat melayani nasabah dalam proses transaksi uang seperti penarikan uang tunai, cek saldo, dan transfer uang ke rekening orang lain. Berdasarkan hal tersebut, maka masyarakat memerlukan suatu aplikasi pen-carian lokasi ATM terdekat. Hal ini tentunya dapat meningkatkan efektivitas penggunaan waktu oleh masyarakat, sehingga masyarakat dapat mengatur waktunya untuk melakukan kegiatan lainnya. Berdasarkan masalah dan tujuan penelitian yang dilakukan maka dapat di-tarik kesimpulan sistem pencarian jarak ATM berdasarkan metode Kruskal dan Open Street Map (OSM) dapat berjalan dengan baik, dan memiliki ting-kat keberhasilan yang didapatkan dari pendapat reseponden sebesar 92% tingkat keberhasilan.
Implementasi Metode Certainty Factor (CF) Pada Diagnosa Penyakit Pada Tumbuhan Kelapa Sawit Dira Eka Putra; Diana
Journal of Technopreneurship and Information System (JTIS) Vol 6 No 3 (2023): Desember
Publisher : Fakultas Teknik Universitas Muhammadiyah Bengkulu

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36085/jtis.v6i3.6319

Abstract

Expert systems are one part of the science of artificial intelligence which has recently experienced very rapid development. This system is designed to mimic the expertise of an expert in answering questions and solving problems in various fields. A system that is more practical and has the capabilities of an expert in determining diseases in palm plants is needed. To make expert systems more natural, a Certainty Factor is often used in them. This method provides space for the expert to provide a value of confidence in the knowledge he expresses. Based on the results obtained from the black box testing, it can be concluded that this Certainty Factor-based expert system prototype can run as it should with a 100% system success rate and can display analysis results by the results of observations tested to farmers and experts.

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