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All Journal Jurnal Ilmiah Universitas Batanghari Jambi Jurnal Sisfotek Global Academic Journal of Computer Science Research (AJCSR)
Ryando, M. Bucci
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Law, Crime, Criminology & Criminal Justice

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Prototype Aplikasi Marketplace Hewan Oktavian, Karel; Ikhsani, Iqbal Nur; Susanto, Fredy; Ryando, M. Bucci
Jurnal Ilmiah Universitas Batanghari Jambi Vol 25, No 1 (2025): Februari
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/jiubj.v25i1.5704

Abstract

Nowadays, trading through marketplaces has become a part of everyday life. Names like Tokopedia, Shopee, and Bukalapak are no longer unfamiliar to the public. This Animal Marketplace Application prototype was created as a platform where animal sellers and buyers can meet. Typically, animal trading is done offline by visiting the seller's location. However, it is very difficult to find animal sellers due to its complex segmentation. Cloud-based and using a mobile platform, the animal marketplace is designed to connect sellers and buyers from various locations, aiming to facilitate interactions between them. The hope is that this application can help small and medium enterprises (SMEs) in Indonesia.
Multifactor Evaluation Process for a Decision Support System for Selecting the Best Students Ryando, M. Bucci; Ferawati, Ferawati; Iqbal, Muchamad; Setiawan, Prayoga
JURNAL SISFOTEK GLOBAL Vol 14, No 1 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i1.10879

Abstract

The utilization of information systems can significantly contribute to enhancing efficiency and service delivery at MA Daarul Falah, an educational institution in Pondok Pesantren Daarul Falah. Previously, there were often issues with subjective assessment of high-achieving students and inadequate archiving of previous years' assessment records. This study aims to expedite the collection of student assessment data from each class, automate the student grading process, and improve the objectivity of the school's assessments of all students. The method employed in this research is the Multi-Factor Evaluation Process (MFEP), implemented using the PHP programming language. The results of the study indicate that students who receive a total evaluation score above 90.00 are considered eligible to serve at Pondok Pesantren Daarul Falah, while those who score below 90.00 are deemed ineligible to serve there.
Clustering of Eligibility and Characteristics of Smart Indonesia Card Recipients for College using Agglomerative Hierarchical Clustering Ryando, M. Bucci; Sutarman, Sutarman
JURNAL SISFOTEK GLOBAL Vol 14, No 2 (2024): JURNAL SISFOTEK GLOBAL
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/sisfotek.v14i2.15707

Abstract

Since 2023, the Smart Indonesia Card or Kartu Indonesia Pintar-Kuliah (KIP-K) has two schemes. Consisting of KIP-K Scheme 1, where scholarship recipients are exempted from tuition fees and receive living allowances during the KIP-K scholarship period and KIP-K Scheme 2, where scholarship recipients are only exempted from tuition fees without receiving living allowances. Lack of information about the characteristics of prospective KIP-K scholarship recipients is a problem in itself. Many universities/institutions are not on target in providing this scholarship. This study aims to obtain clusters of recipients of KIP-K Scheme 1, KIP-K Scheme 2, and Not Eligible who are received and to obtain the characteristics of recipients of KIP-K Scheme 1, KIP-K Scheme 2, and Not Eligible who are received. This research method uses the CRISP-DM (Cross-Industry Standard Process for Data Mining) approach consisting of the stages of Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, and Deployment and uses a combined method of Agglomerative Hierarchical Clustering with Average Linkage and uses the Calinski-Harabasz Index to test the validity of the cluster. The results of the study showed that the best cluster to explore was in 10 clusters with a Calinski-Harabasz Index value of 34.88236681148884. It was concluded that the feasibility of Scheme 1 KIP-K in cluster 8, 9 and 10.
Penerapan Metode Analytical Hierarchy Process dan Technique for Order by Similarity to Ideal Solution dalam Sistem Pendukung Keputusan Penentuan Dosen Terbaik Fakultas Hamonangan, Apriyanto; Tullah, Rahmat; Agusli, Rachmat; Ryando, M. Bucci
Academic Journal of Computer Science Research Vol 6, No 1 (2024): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v6i1.10082

Abstract

Perguruan Tinggi memiliki tanggung jawab penting dalam menjalankan tridharma perguruan tinggi, yaitu pendidikan, penelitian, dan Pengabdian kepada Masyarakat (PKM). Dalam konteks ini, dosen menjadi elemen kunci dalam menjalankan misi tersebut, sebagaimana yang ditetapkan dalam Undang-Undang Nomor 14 Tahun 2005. Pentingnya pengambilan keputusan dalam merekrut dosen terbaik sangat signifikan untuk mendukung proses belajar mengajar dan menghasilkan mahasiswa yang kompeten di bidangnya. Seringnya tidak ada objektif dalam memiilih dosen terbaik menjadi permasalahan yang perlu diatasi pada Fakultas Teknologi Informasi dan Komunikasi Global Institute. Untuk mengatasi masalah tersebut, perlu diterapkan sistem pendukung keputusan dengan menggunakan metode Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Hasil yang didapat dari penelitian ini dengan beberapa sample data yaitu dosen dengan nilai prefensi sebesar 0.60317 dan terendah 0.36203.
Implementasi Metaverse Educational Environment (MEEV) Sejarah Kerajaan Indonesia untuk Meningkatkan Minat dan Prestasi Belajar Siswa Saepurohman, Wirawan; Anwar, Malik; Fransiska, Tiara; Mardianto, Muhammad; Alailia, Norma Putri; Hanafri, Muhammad Iqbal; Ryando, M. Bucci
Academic Journal of Computer Science Research Vol 6, No 1 (2024): Academic Journal of Computer Science Research (AJCSR)
Publisher : Institut Teknologi dan Bisnis Bina Sarana Global

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38101/ajcsr.v6i1.10650

Abstract

Penelitian ini bertujuan untuk menginvestigasi implementasi Metaverse Educational Environment (MEEV) dalam konteks sejarah Kerajaan Indonesia sebagai strategi pendidikan inovatif yang dapat meningkatkan minat dan prestasi belajar siswa. Metode penelitian yang digunakan adalah quasi experimental dengan partisipan sebanyak 30 siswa tingkat Sekolah Dasar (SD), yang terbagi menjadi dua kelompok, yaitu kelompok eksperimen dan kelompok kontrol, masing-masing terdiri dari 15 siswa. Penelitian ini dilakukan melalui tahap pre-test dan post-test guna mengukur pengaruh MEEV terhadap minat dan prestasi belajar siswa. Hasil analisis menggunakan ANCOVA menunjukkan bahwa implementasi MEEV secara signifikan meningkatkan minat belajar siswa dalam sejarah Kerajaan Indonesia, tetapi tidak ada perbedaan signifikan dalam prestasi belajar. Temuan ini memiliki implikasi penting dalam pengembangan pendidikan berbasis teknologi dan berkontribusi pada pemahaman lebih lanjut mengenai potensi Metaverse dalam konteks pembelajaran sejarah.
Co-Authors Agusli, Rachmat Alailia, Norma Putri Anwar, Malik Ferawati Ferawati Fransiska, Tiara Fredy Susanto Hamonangan, Apriyanto Hanafri, Muhammad Iqbal Ikhsani, Iqbal Nur Iqbal, Muchamad Mardianto, Muhammad Oktavian, Karel Saepurohman, Wirawan Setiawan, Prayoga Sutarman Sutarman Tullah, Rahmat