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All Journal JURTEKSI Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Teknisi Bulletin of Information Technology (BIT) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Interaksi : Jurnal Pengabdian Kepada Masyarakat
Guntur Maha Putra
Universitas Royal
Computer Science & IT Economics, Econometrics & Finance Education Engineering Health Professions Languange, Linguistic, Communication & Media Social Sciences

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TOPSIS-BASED SYSTEM FOR THE SELECTION OF TRAINING PARTICIPANT CANDIDATES AT THE ASAHAN MANPOWER OFFICE Guntur Maha Putra; Wan Mariatul Kifti; Putri Amanda Nurhayati
JURTEKSI (jurnal Teknologi dan Sistem Informasi) Vol. 12 No. 2 (2026): Maret 2026
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Royal Kisaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurteksi.v12i2.4516

Abstract

Abstract: Job training is one of the government’s efforts to improve the quality of human resources so that they possess competencies that meet labor market demands. The process of selecting training participants at the Department of Manpower of Asahan Regency is still carried out manually, which can lead to subjectivity and inefficiency in determining the most eligible candidates. This study aims to develop a decision support system using the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method to assist the selection process objectively and systematically. The study applies four evaluation criteria, namely education level, age, work experience, and interview, with a dataset consisting of 31 training candidates. The system is developed as a web-based application using PHP programming language and MySQL database. The TOPSIS method is applied through decision matrix normalization, weighting, determination of positive and negative ideal solutions, and preference value calculation to produce a ranking of candidates. The results show that the proposed system can provide objective recommendations for selecting training participants, improve the efficiency of the selection process, and support decision makers in producing more accurate and reliable decisions. Keywords: decision support system; selection; training; TOPSIS. Abstrak: Pelatihan tenaga kerja merupakan salah satu upaya pemerintah dalam meningkatkan kualitas sumber daya manusia agar memiliki kompetensi yang sesuai dengan kebutuhan dunia kerja. Proses pemilihan calon peserta pelatihan di Dinas Tenaga Kerja Kabupaten Asahan selama ini masih dilakukan secara manual sehingga berpotensi menimbulkan subjektivitas dan kurang efektif dalam menentukan peserta yang paling layak. Penelitian ini bertujuan untuk membangun sistem pendukung keputusan menggunakan metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) untuk membantu proses seleksi peserta pelatihan secara objektif dan sistematis. Penelitian ini menggunakan empat kriteria penilaian yaitu pendidikan, usia, pengalaman kerja, dan wawancara dengan jumlah data sebanyak 31 calon peserta pelatihan. Sistem dikembangkan berbasis web menggunakan bahasa pemrograman PHP dan database MySQL. Metode TOPSIS digunakan untuk melakukan normalisasi matriks keputusan, pembobotan, penentuan solusi ideal positif dan negatif, serta perhitungan nilai preferensi untuk menghasilkan perankingan peserta pelatihan. Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu memberikan rekomendasi peserta pelatihan secara objektif, meningkatkan efisiensi proses seleksi, serta membantu pihak dinas dalam pengambilan keputusan yang lebih akurat. Kata kunci: pelatihan; seleksi; sistem pendukung keputusan; TOPSIS.
Pelatihan Perancangan Dan Implementasi Database Untuk Meningkatkan Kompetensi Siswa SMK di LKP Pelita Media Guntur Maha Putra; Ahmad Muhazir; Jumiah
Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Vol. 9 No. 2 (2026): April 2026
Publisher : STMIK Royal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33330/jurdimas.v9i2.4526

Abstract

Abstract: The training on database design and implementation for vocational high school students at LKP Pelita Media aims to enhance students’ understanding of fundamental database concepts as well as their ability to design and implement databases through a library application case study. The main problem addressed is the limited competence of students in structured database design, including data requirement analysis, Entity Relationship Diagram (ERD) development, normalization, and the lack of practical experience in using MySQL and applying it to real-world cases. The method employed consists of integrated theory- and practice-based training through interactive lectures, demonstrations, hands-on practice, and mentoring. The activities were conducted in four stages: introduction to database concepts, ERD design and normalization, SQL implementation (CRUD and JOIN), and integration with a simple web application. The results indicate that participants gained improved understanding and skills in designing and implementing databases, aligned with current developments in information technology, particularly in the context of a library application case study. Keywords: database; ERD; MySQL; normalization; training Abstrak: Pelatihan perancangan dan implementasi database bagi siswa SMK di LKP Pelita Media bertujuan meningkatkan pemahaman konsep dasar basis data serta kemampuan merancang dan mengimplementasikan database pada studi kasus aplikasi perpustakaan. Permasalahan utama adalah terbatasnya kompetensi siswa dalam perancangan database secara terstruktur, meliputi analisis kebutuhan data, pembuatan Entity Relationship Diagram (ERD), normalisasi, serta kurangnya pengalaman praktik menggunakan MySQL hingga implementasi pada kasus nyata. Metode yang digunakan berupa pelatihan berbasis teori dan praktik terintegrasi melalui ceramah interaktif, demonstrasi, praktik langsung, dan pendampingan. Kegiatan dilaksanakan dalam empat tahap, yaitu pengenalan konsep basis data, perancangan ERD dan normalisasi, implementasi SQL (CRUD dan JOIN), serta integrasi dengan aplikasi web sederhana. Hasil menunjukkan peserta memiliki pemahaman dan keterampilan perancangan serta implementasi database yang relevan dengan perkembangan teknologi informasi khususnya pada studi kasus aplikasi perpustakaan. Kata kunci: database; ERD; MySQL; normalisasi; pelatihan
Penerapan Microsoft Power BI dalam Pengolahan dan Visualisasi Data Statis dan Interktif Dewi Anggraeni; Dewi Maharani; Guntur Maha Putra
Interaksi : Jurnal Pengabdian Kepada Masyarakat Vol. 1 No. 1 (2024): Interaksi - Juni
Publisher : PT. Faaslib Serambi Media

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66341/interaksi.v1i1.32

Abstract

Power BI memfasilitasi integrasi berbagai sumber data, termasuk data pendaftaran siswa, kehadiran, hasil evaluasi, dan feedback peserta kursus. Visualisasi interaktif yang disediakan oleh Power BI memudahkan pengelola lembaga untuk mengidentifikasi tren, pola, dan wawasan penting terkait performa kursus, tingkat kepuasan siswa, serta efektivitas pengajaran. Selain itu, kemampuan untuk membuat dan membagikan laporan serta dashboard secara real-time meningkatkan kolaborasi dan transparansi di antara staf dan manajemen. Studi kasus dari beberapa lembaga kursus komputer menunjukkan bahwa penggunaan Power BI dapat memberikan wawasan yang lebih baik untuk strategi pemasaran, peningkatan kurikulum, dan penjadwalan kursus yang lebih efisien. Dengan demikian, Microsoft Power BI menjadi alat yang vital dalam pengelolaan dan visualisasi Big Data di lembaga kursus komputer
PELATIHAN DASAR PERHITUNGAN JARINGAN KOMPUTER UNTUK SISWA SMK DI LKP PELITA MEDIA Guntur Maha Putra; Junaidi Junaidi; Elly Rahayu
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol. 5 No. 2 (2025): Desember 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i2.5507

Abstract

Abstract: Mastery of computer network calculation is a fundamental competency for vocational high school students in meeting the demands of vocational learning and the world of work. However, limited conceptual understanding and practical skills in computer network calculation remain common challenges among the target community. This community service activity aims to enhance the capacity and competence of vocational high school students through basic computer network calculation training conducted at LKP Pelita Media. The methods employed combine community education and practice-based training through conceptual instruction, demonstrations, and case-based network calculation exercises. The main outputs of this activity are training services and applied learning that emphasize understanding computer network terminology and subnetting calculation skills. This activity contributes to the enrichment of community service practices in the field of vocational education by offering a contextual, systematic, and easily replicable learning approach for similar educational and training institutions.            Keywords: network; training; subnetting  Abstrak: Penguasaan perhitungan jaringan komputer merupakan kompetensi dasar yang penting bagi siswa Sekolah Menengah Kejuruan (SMK) dalam menghadapi kebutuhan pembelajaran vokasi dan dunia kerja. Namun, keterbatasan pemahaman konseptual dan keterampilan aplikatif pada materi perhitungan jaringan komputer masih menjadi permasalahan yang dijumpai pada masyarakat sasaran. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas dan kompetensi siswa SMK melalui pelatihan dasar perhitungan jaringan komputer yang dilaksanakan di LKP Pelita Media. Metode yang digunakan mengkombinasikan pendidikan masyarakat dan pelatihan berbasis praktik melalui penyuluhan konseptual, demonstrasi, serta latihan studi kasus perhitungan jaringan. Luaran utama kegiatan berupa pelatihan dan pembelajaran aplikatif yang menekankan pemahaman peristilahan jaringan komputer dan keterampilan perhitungan subnetting. Kegiatan ini berkontribusi dalam memperkaya praktik pengabdian kepada masyarakat di bidang pendidikan vokasi dengan menghadirkan pendekatan pembelajaran yang kontekstual, sistematis, dan mudah direplikasi pada lembaga pendidikan dan pelatihan sejenis. Kata kunci: jaringan; pelatihan; subnetting 
Implementation Of The SAW Method For Proposing KIS-PBI Recipients In Padang Sari Village Guntur Maha Putra; Hainur Rasyid
JURNAL TEKNISI Vol. 6 No. 1 (2026): February 2026
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/teknisi.v6i1.5688

Abstract

Abstract: Determining recipients of health assistance at the village level often faces obstacles of subjectivity and inaccuracy of targeting due to the proposal process which is still carried out manually without structured assessment criteria. This study aims to apply the Simple Additive Weighting (SAW) method in determining recipients of the Indonesian Health Card - Contribution Assistance Recipient (KIS-PBI) in Padang Sari Village to improve the accuracy and objectivity of the proposal process. The method used is a computer-based Decision Support System with a Multiple Attribute Decision Making (MADM) approach, where the assessment is carried out based on a number of predetermined social and economic criteria and is weighted according to their level of importance. The calculation process is carried out through the formation of a decision matrix, matrix normalization, and calculation of preference values for each alternative. The results of the study indicate that the application of the SAW method is able to produce a clear ranking of alternatives, thus facilitating the determination of residents who are eligible to be proposed as KIS-PBI recipients. The conclusion of this study is that the SAW method is effective for use as a decision-making tool in the distribution of health assistance at the village level because it is able to produce more objective, transparent, and measurable decisions compared to the manual method.Keyword: kis-pbi; multiple attribute decision making (MADM); simple additive weighting Abstrak: Penentuan penerima bantuan kesehatan di tingkat desa seringkali menghadapi kendala subjektivitas dan ketidaktepatan sasaran akibat proses pengusulan yang masih dilakukan secara manual tanpa kriteria penilaian yang terstruktur. Penelitian ini bertujuan untuk menerapkan metode Simple Additive Weighting (SAW) dalam penentuan penerima Kartu Indonesia Sehat–Penerima Bantuan Iuran (KIS-PBI) di Desa Padang Sari guna meningkatkan ketepatan dan objektivitas proses pengusulan. Metode yang digunakan adalah Sistem Pendukung Keputusan berbasis komputer dengan pendekatan Multiple Attribute Decision Making (MADM), di mana penilaian dilakukan berdasarkan sejumlah kriteria sosial dan ekonomi yang telah ditetapkan dan diberi bobot sesuai tingkat kepentingannya. Proses perhitungan dilakukan melalui pembentukan matriks keputusan, normalisasi matriks, dan perhitungan nilai preferensi untuk setiap alternatif. Hasil penelitian menunjukkan bahwa penerapan metode SAW mampu menghasilkan perankingan alternatif secara jelas sehingga memudahkan penentuan warga yang layak diusulkan sebagai penerima KIS-PBI. Simpulan dari penelitian ini adalah bahwa metode SAW efektif digunakan sebagai alat bantu pengambilan keputusan dalam penyaluran bantuan kesehatan di tingkat desa karena mampu menghasilkan keputusan yang lebih objektif, transparan, dan terukur dibandingkan dengan metode manual.Kata kunci: kis-pbi; multiple attribute decision making (MADM); sistem pendukung keputusan
Analysis of the Spatial Distribution of Rice Prices Acrossprovinces in Indonesia Using the K-Means Algorithm Parini; Yessica Siagian; Guntur Maha Putra; Julpan Hartono Suria Manja Manurung; Nuri Apriani; Putri Wulandari
Bulletin of Information Technology (BIT) Vol 7 No 3: September 2026
Publisher : Forum Kerjasama Pendidikan Tinggi (FKPT)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47065/bit.v7i3.3146

Abstract

Differences in rice prices across provinces in Indonesia reflect variations in distribution and market conditions that can be analyzed using a data clustering approach. This study aims to map the characteristics of interprovincial rice prices using the K-Means Clustering algorithm. The dataset consists of prices for Premium Rice, Medium Rice, Non-SPHP Medium Rice, and SPHP Rice obtained from official government data. The research stages included data preprocessing, transformation, normalization using StandardScaler, determining the number of clusters using the Elbow Method and Silhouette Score, and visualizing the results using Principal Component Analysis (PCA). The Elbow Method results indicated an efficient point at K = 5, while the highest Silhouette Score of 0.5658 was obtained at K = 7; thus, seven clusters were selected as the best model. PCA visualization reveals that provinces in Indonesia exhibit rice price characteristics that form seven groups with varying degrees of similarity. The research results indicate that the K-Means algorithm is capable of effectively identifying rice price clustering patterns and producing a map that can support the analysis of inter-regional price characteristics as a basis for formulating food distribution policies and stabilizing rice prices in Indonesia.
Co-Authors Ahmad Muhazir Dewi Anggraeni Dewi Maharani Elly Rahayu Hainur Rasyid Julpan Hartono Suria Manja Manurung Jumiah Junaidi Nuri Apriani Parini Putri Amanda Nurhayati Putri Wulandari Wan Mariatul Kifti Yessica Siagian