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All Journal Nuansa Informatika Infotech Journal Building of Informatics, Technology and Science Jurnal Inovasi dan Pengabdian
Yayan Sopyan
STMIK LIKMI, Bandung
Computer Science & IT Social Sciences

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IMPLEMENTASI SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN SISWA BARU MENGGUNAKAN METODE SIMPLE ADDITIVE WEIGHTING (Study Kasus : SMK Negeri 3 Kuningan) Yayan Sopyan; Sugeng Supriyadi; Erik Kurniadi
NUANSA INFORMATIKA Vol 11, No 1 (2016)
Publisher : FKOM UNIKU

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (893.082 KB) | DOI: 10.25134/nuansa.v11i1.1329

Abstract

Acceptance of New Students is one of the existing processes in educational institutions such as schools that are useful for screening prospective students who are selected according to the criteria determined by the school to be students students. In general, the process of Admission New Students through the stages of registration, selection tests and announcement of student acceptance.In this research, its application to SMK Negeri 3 Kuningan where in the process of New Student Admission must be decided quickly and precisely therefore it is needed Decision Support System to assist the committee of PPDB in decision making. The method used in this Decision Support System is by Simple Additive Weighting (SAW) method.In building this system using the software development method Waterfall model and required tools used for the design include: Flowmap, Context Diagram, Data Flow Diagram, Entity Relationship Diagram And Data Dictionary, created using Microsoft Visio applications. Data collection methods used in the preparation of this thesis is Observation, Library Studies and Interview. This system was developed using PHP and MySQL as database server.The result of this research is decision support system in new student acceptance by using Simple Additive Weighting (SAW) method which gives more optimal result in management and value calculation so that PPDB committee can give quick decision.Keywords: New Student Acceptance, Simple Additive Weighting (SAW), Waterfall, DFD, PHP MySQL
Analisis Sistem Pendukung Keputusan Penerima Beasiswa Terbaik Menerapkan Metode Weight Aggregated Sum Product Assesment (WASPAS) dengan Pembobotan Rank Order Centroid (ROC) Sopyan, Yayan; Lesmana, Agria Dwi
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2525

Abstract

KIP Kuliah is one of the government's education equity programs. The KIP Kuliah program is intended for students who graduate from high school or its equivalent, but not all students can benefit from the KIP Kuliah program. Students who are entitled to benefit from the KIP Kuliah program are those who have academic potential but whose economic circumstances do not allow them to continue their education at tertiary institutions. The process of selecting scholarship recipients is a new problem for tertiary institutions, where quotas and the number of applicants are sometimes unbalanced, so a rigorous selection process is needed based on an assessment of the economic condition of the family and the achievements of the scholarship recipient candidates. Therefore, a Decision Support System (DSS) is needed to overcome this problem using the Weighted Aggregated Sum Product Assessment (WASPASS) and rank order centroid (ROC) methods to find the best alternative scholarship recipients. The results obtained from this study are the recipients of the best alternative scholarship A6, with the highest score of 0.57, followed by other alternatives based on the ranking results in this DSS calculation.
Analisis Algoritma K-Means dan Davies Bouldin Index dalam Mencari Cluster Terbaik Kasus Perceraian di Kabupaten Kuningan Sopyan, Yayan; Lesmana, Agrian Dwi; Juliane, Christina
Building of Informatics, Technology and Science (BITS) Vol 4 No 3 (2022): December 2022
Publisher : Forum Kerjasama Pendidikan Tinggi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bits.v4i3.2697

Abstract

In marriage, the thing that is most avoided is a divorce. Divorce is the termination of the husband and wife relationship which is carried out legally at the time of trial. From year to year, there is an increase in the number of divorces in Indonesia, including the number of divorces in Kuningan Regency. This study analyzes divorce cases in villages in Kuningan Regency, the analysis is carried out by using data mining clustering methods using the K-Means algorithm. The clustering method is grouping data based on the same characteristics. In determining the number of clusters by using the value of the smallest Davies Bouldin Index, it is hoped that the number of clusters formed can be more optimal. The results of this study are that there are 4 clusters consisting of villages or sub-districts with different divorce rates, namely the highest divorce rate, high divorce rate, medium divorce rate, low divorce rate, and lowest divorce rate
IMPLEMENTASI METODE NDLC PADA INFRASTRUKTUR JARINGAN UNIVERSITAS BHAKTI HUSADA INDONESIA DENGAN MEMANFAATKAN WHATSAPP GATEWAY SEBAGAI MONITORING Yayan Sopyan; Muhamad Rovi
INFOTECH journal Vol. 11 No. 2 (2025)
Publisher : Universitas Majalengka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31949/infotech.v11i2.14835

Abstract

Internet merupakan komponen vital dalam menunjang aktivitas akademik dan administrasi di lingkungan kampus Universitas Bhakti Husada Indonesia (UBHI). Stabilitas dan kecepatan internet sangat dibutuhkan oleh Mahasiswa, Dosen, dan Staf untuk menunjang kinerja harian. Penelitian ini bertujuan untuk merancang dan mengimplementasikan infrastruktur jaringan dengan pendekatan metode Network Development Life Cycle (NDLC), serta mengintegrasikan sistem monitoring dengan WhatsApp Gateway sebagai notifikasi real time ketika terjadi gangguan internet. Metode NDLC yang digunakan terdiri dari enam tahap yaitu Analysis, Design, Simulation/Prototyping, Implementation, Monitoring, dan Management. Hasil akhir dari penelitian ini yaitu sistem jaringan yang stabil dan dapat dimonitor secara real time.
Penguatan Literasi Digital Berbasis AI untuk Meningkatkan Kompetensi Kewirausahaan Siswa SMK Yayan Sopyan; Mardiyah
Jurnal Inovasi dan Pengabdian Vol. 2 No. 2 (2026)
Publisher : Athallah Publishing Globalndo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64845/bhaktika.v2i2.340

Abstract

Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan literasi digital siswa Sekolah Menengah Kejuruan (SMK) melalui pemanfaatan teknologi Artificial İntelligence (AI) sebagai media pembelajaran kewirausahaan. Permasalahan utama yang dihadapi adalah 25,80% pemuda Indonesia berstatus Not in Education, Employment, or Training (NEET) (UNDP 2023), sementara pemerintah menargetkan 9 juta talenta digital pada 2030. Metode yang digunakan adalah pelatihan partisipatif yang mencakup penyampaian materi, simulasi, dan praktik pembuatan identitas merek menggunakan AI, dilaksanakan di SMK Bhakti Husada Kuningan dengan peserta siswa kelas XI dan XII. Hasil evaluasi pre-test dan post-test menunjukkan peningkatan signifikan terhadap pemahaman literasi digital meningkat dari 42% menjadi 83%, kemampuan penggunaan AI untuk desain dari 18% menjadi 76%, dan motivasi berwirausaha dari 51% menjadi 88%. Selain itu, terbentuk beberapa kelompok usaha siswa dengan ide bisnis berbasis produk kesehatan dan konten digital. Temuan ini sejalan dengan (Duong 2026) yang membuktikan bahwa AI literacy berpengaruh signifikan terhadap kompetensi kewirausahaan digital di konteks vokasi. Kegiatan ini berkontribusi dalam mempersiapkan siswa SMK sebagai wirausaha muda yang adaptif terhadap era digital.
Co-Authors Christina Juliane, Christina Erik Kurniadi Lesmana, Agria Dwi Lesmana, Agrian Dwi Mardiyah Muhamad Rovi Sugeng Supriyadi