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All Journal JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Minfo Polgan (JMP) Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Pengabdian kepada Masyarakat Journal of Technology and Computer (JOTECHCOM) JIPITI: Jurnal Pengabdian kepada Masyarakat International Journal of Educational Insights and Innovations (IJEDINS)
Ginting, Subhan Hafiz Nanda
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Pelatihan Membangun Website Portofolio Menggunakan Bootstrap V5.3 Pada Siswa/I SMK Swasta Jambi Medan Wayahdi, M. Rhifky; Ginting, Subhan Hafiz Nanda; Ruziq, Fahmi
PRAXIS: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 1 (2023): PRAXIS
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/praxis.v2i1.715

Abstract

Technological developments are happening so fast, one of which is website technology. So that people are required to follow the development of these technologies. However, most of our people still do not understand or understand technology which makes it difficult to achieve the industrial revolution 4.0. In fact, many IT graduates do not have the skills needed by the industry today. Therefore the author carries out community service with the target of SMK students where skills improvement must be carried out as quickly as possible before they enter the world of lectures or the world of work. This activity is training on building a portfolio website using the bootstrap v5.3 framework, which starts from an introduction (basic) to produce the desired website product. The results of this training activity were that the participants were very enthusiastic, motivated, and all succeeded in building a portfolio website as taught with very good results.
Pengenalan Struktur Website, Tools, dan Karir Web Developer pada Siswa-Siswi SMK Swasta Jambi Medan Ruziq, Fahmi; Wayahdi, M. Rhifky; Ginting, Subhan Hafiz Nanda
PRAXIS: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 1 (2023): PRAXIS
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/praxis.v2i1.717

Abstract

Introduction to Website Structure, Tools, and Web Developer Careers is a community service activity carried out at the Jambi Medan Private Vocational School. This activity aims to provide basic knowledge about website development to SMK students, introduce tools and tools used by Web Developers, and discuss potential careers in this field. Activity methods include preparation of plans, introductions, presentations, demonstrations, making portfolios, discussions, and evaluations. This activity was held at a school location involving 20 students as participants. The results and discussion show that this activity had a positive impact on the participants. They gain a basic understanding of website structure and tools used in web development. The motivation to learn more in the field of web development has also increased, and this course provides an initial guide to building simple websites. Students feel better prepared to enter the technological world of work with potential careers as Web Developers or Web Designers. This activity helps them in preparing themselves for a future that is more connected with technology.
Pelatihan Mendesain Website Menggunakan Figma Pada Siswa-Siswi SMK Swasta Jambi Medan Ginting, Subhan Hafiz Nanda; Ruziq, Fahmi; Wayahdi, M. Rhifky
PRAXIS: Jurnal Pengabdian kepada Masyarakat Vol. 2 No. 1 (2023): PRAXIS
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47776/praxis.v2i1.728

Abstract

Training in the field of website design using Figma has been conducted for male and female students of Private Vocational High School (SMK) Jambi Medan. The objective of this training is to provide a fundamental understanding and skills in designing layout and visual aspects of websites using the collaborative design tool, Figma. The training method involves a series of practical sessions that focus on introducing Figma, basic web design concepts, layout principles, effective use of colors and typography, as well as the implementation of interactive elements. Step-by-step guidance is given to the students in creating website designs from scratch to completion, including collaborative team processes to enhance their creativity and understanding of responsive and aesthetic design. The results of this training demonstrate an improved understanding among the students of the fundamental concepts of web design and practical proficiency in using Figma. They are capable of producing simple website designs with well-structured layouts, appropriate color choices, and suitable typography. Furthermore, the students are also capable of implementing interactive elements such as links, buttons, and dropdown menus in their designs. In conclusion, the website design training using Figma provides significant benefits for students of Private Vocational High School Jambi Medan. They have acquired foundational knowledge and practical skills in creating appealing and responsive website designs, potentially opening new opportunities in the realms of design and technology.
DECISION SUPPORT SYSTEM ON STUDENTS CRITICAL THINKING SKILLS IN ICT BASED EDUCATIVE LEARNING Ginting, Subhan Hafiz Nanda; Ruziq, Fahmi; Wayahdi, M. Rhifky
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2331

Abstract

Penelitian ini bertujuan untuk mengembangkan dan menguji sistem pengambilan keputusan yang dirancang untuk mengevaluasi dan meningkatkan kemampuan berpikir kritis siswa dalam pembelajaran berbasis Teknologi Informasi dan Komunikasi (TIK). Seiring dengan berkembangnya teknologi di bidang pendidikan, kemampuan berpikir kritis menjadi salah satu kompetensi penting yang harus dimiliki oleh siswa. Sistem pengambilan keputusan ini menggunakan metode sistem pendukung keputusan (DSS) yang mengintegrasikan beberapa indikator kemampuan berpikir kritis, seperti analisis, interpretasi, evaluasi, dan inferensi. Data diperoleh melalui instrumen tes dan observasi pada siswa sekolah menengah yang terlibat dalam pembelajaran berbasis ICT. Penelitian ini menggunakan metode kuantitatif dengan pendekatan pseudo-eksperimental. Sampel penelitian berjumlah 120 siswa yang dibagi menjadi kelompok eksperimen dan kontrol. Kelompok eksperimen menggunakan sistem pengambilan keputusan berbasis ICT dalam proses pembelajaran, sedangkan kelompok kontrol menggunakan metode konvensional. Hasil penelitian menunjukkan bahwa penggunaan sistem pengambilan keputusan berbasis ICT secara signifikan meningkatkan kemampuan berpikir kritis siswa dibandingkan dengan metode konvensional. Sistem ini membantu guru dalam memantau kemajuan siswa dan memberikan umpan balik tepat waktu untuk meningkatkan efektivitas pembelajaran. Temuan ini menunjukkan bahwa penerapan teknologi dalam pembelajaran tidak hanya meningkatkan hasil akademik tetapi juga mengasah keterampilan kognitif siswa, khususnya kemampuan berpikir kritis. Dengan demikian, pengembangan lebih lanjut sistem ini diharapkan dapat mendukung penerapan kurikulum berbasis kompetensi yang menekankan pada pemanfaatan teknologi dalam pendidikan.
AI APPROACH TO PREDICT STUDENT PERFORMANCE (CASE STUDY: BATTUTA UNIVERSITY) Wayahdi, M. Rhifky; Ruziq, Fahmi; Ginting, Subhan Hafiz Nanda
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2332

Abstract

Penelitian yang dilakukan menggunakan pendekatan kecerdasan buatan (AI) pada proses prediksi kinerja mahasiswa Universitas Battuta. Model kecerdasan buatan yang digunakan adalah model Random Forest. Penulis menggunakan tiga dataset berbeda dengan 300 pohon keputusan untuk proses pelatihan dan pengujian dengan model Random Forest dan melakukan uji coba dengan tiga variasi model. Model pertama (RF-1) menunjukkan akurasi yang tinggi yaitu sebesar 90%, sedangkan model kedua (RF-2) dan ketiga (RF-3) masing-masing memperoleh akurasi sebesar 89%. Matriks konfusi dan laporan klasifikasi (presisi, perolehan, dan skor f1) digunakan untuk mengevaluasi kinerja model kecerdasan buatan yang digunakan. Pada kategori “lulus”, ketiga model memiliki performa yang baik dengan presisi dan perolehan 90–95%. Pada kategori “distinction”, model pertama (RF-1) dan ketiga (RF-3) memiliki presisi dan recall yang lebih baik dibandingkan model kedua (RF-2). Sedangkan pada kategori “gagal”, model kedua (RF-2) menunjukkan performa yang sedikit lebih unggul dibandingkan model lainnya. Hasil penelitian ini menunjukkan bahwa model Random Forest mampu menghasilkan akurasi yang cukup tinggi dalam memprediksi kinerja siswa, yaitu berkisar 80–90%. Dengan demikian, model Random Forest merupakan metode yang cukup efektif untuk memprediksi kinerja siswa. Hasil ini diharapkan dapat digunakan oleh universitas untuk mengidentifikasi mahasiswa yang memerlukan intervensi dini dan meningkatkan strategi pembelajaran yang lebih efektif.
LENSA TEKNOLOGI: MENGABADIKAN SEMANGAT ANAK-ANAK DI SANGGAR KEADILAN SMH INDONESIA Wayahdi, M Rhifky; Ruziq, Fahmi; Ginting, Subhan Hafiz Nanda
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 5, No 1 (2025): April 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i1.3357

Abstract

 Abstract: This community service initiative addresses the lack of documentation at Sanggar Keadilan SMH Indonesia, which limits evaluation and promotional materials. The participatory video documentation method engaged 20 children aged 7-15 years using DSLR and smartphone devices with passive observational techniques during a one-day activity. The outputs include a 15-minute documentary and short content that enhanced the sanggar's visibility while shifting children's perception of gadgets from entertainment to creative tools. The project demonstrates the efficacy of low-tech approaches in community documentation and its potential adaptability for various empowerment contexts.            Keywords: video documentation; community empowerment; literacy media; simple technology; sanggar  Abstrak: Kegiatan pengabdian ini dilatarbelakangi oleh minimnya dokumentasi kegiatan di Sanggar Keadilan SMH Indonesia yang berdampak pada terbatasnya bahan evaluasi dan promosi. Metode yang digunakan adalah dokumentasi video partisipatif selama satu hari dengan melibatkan 20 anak usia 7-15 tahun, menggunakan perangkat DSLR dan smartphone, serta teknik pengambilan gambar observasional pasif. Hasilnya berupa video dokumenter 15 menit dan konten pendek yang tidak hanya meningkatkan visibilitas sanggar, tetapi juga mengubah persepsi anak tentang gadget sebagai alat kreasi. Kegiatan ini membuktikan efektivitas pendekatan low-tech dalam pendokumentasian komunitas serta potensi adaptasinya untuk berbagai konteks pemberdayaan. Kata kunci: dokumentasi video; literasi media; pemberdayaan komunitas; sanggar; teknologi sederhana
WORKSHOP GAMES EDUKASI UNTUK ORANG TUA: PENDAMPINGAN BELAJAR MENYENANGKAN ERA DIGITAL DI SANGGAR KEADILAN SMH INDONESIA Ginting, Subhan Hafiz Nanda; Ruziq, Fahmi; Wayahdi, M Rhifky
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol 5, No 1 (2025): April 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i1.3358

Abstract

Abstract: The role of parents in assisting children to learn in the digital era is increasingly crucial, especially in fostering an interest in learning that is fun and meaningful. However, not all parents have adequate knowledge and skills in utilizing digital technology as an educational tool. This community service activity aims to increase the capacity of parents in assisting children's learning process through educational games that are in accordance with current technological developments. The workshop was held at Sanggar Keadilan SMH Indonesia located in Medan, with the main target of parents from the assisted community. The implementation method included a participatory approach through socialization, hands-on training, simulation of the use of educational games based on applications and web, and reflective discussion sessions. The results of the activity showed an increase in parents' understanding and skills in selecting, using and integrating educational games as learning tools for children. In addition, participants showed high enthusiasm in trying out various educational game platforms and stated that this approach helped create a more interactive and fun learning atmosphere at home.            Keywords: Educational Games, Learning Assistance, Digital Age, Sanggar Keadilan SMH Indonesia.  Abstrak: Peran orang tua dalam mendampingi anak belajar di era digital semakin krusial, terutama dalam menumbuhkan minat belajar yang menyenangkan dan bermakna. Namun, tidak semua orang tua memiliki pengetahuan dan keterampilan yang memadai dalam memanfaatkan teknologi digital sebagai sarana edukatif. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas orang tua dalam mendampingi proses belajar anak melalui media permainan edukatif (games edukasi) yang sesuai dengan perkembangan teknologi saat ini. Workshop dilaksanakan di Sanggar Keadilan SMH Indonesia yang berlokasi di Medan, dengan sasaran utama para orang tua dari komunitas dampingan. Metode pelaksanaan meliputi pendekatan partisipatif melalui sosialisasi, pelatihan langsung, simulasi penggunaan games edukasi berbasis aplikasi maupun web, serta sesi diskusi reflektif. Hasil kegiatan menunjukkan adanya peningkatan pemahaman dan keterampilan orang tua dalam memilih, menggunakan, dan mengintegrasikan games edukasi sebagai alat bantu belajar anak. Selain itu, para peserta menunjukkan antusiasme tinggi dalam mencoba berbagai platform permainan edukatif dan menyatakan bahwa pendekatan ini membantu menciptakan suasana belajar yang lebih interaktif dan menyenangkan di rumah. Kata kunci: Games Edukasi, Pendampingan Belajar, Era Digital, Sanggar Keadilan SMH Indonesia. 
Implementation of Decision Support System for New Employee Selection at PT Triotech Solution Indonesia using SAW Method Ginting, Subhan Hafiz Nanda; Sridewi, Nurmala
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.13842

Abstract

The new employee selection process is one of the important activities in human resource management at PT Triotech Solution Indonesia. The selection of the right candidate determines the quality and performance of the company in the future. This research aims to develop and implement a Decision Support System (SPK) that can assist in the selection process of new employees using the Simple Additive Weighting (SAW) method. The SAW method was chosen because it is able to integrate various assessment criteria by giving appropriate weights to each criterion, resulting in a final ranking of candidates that best suits the company's needs. The system is built by collecting candidate data, which includes criteria such as education, work experience, technical skills, and soft skills. The weight for each criterion is determined based on the priorities set by the company management. After that, the SAW method is applied to calculate the total score of each candidate, which is then used to determine the priority order of the best candidates.
Sistem Pendukung Keputusan untuk Pemilihan Perangkat Internet of Things (IoT) Terbaik Menggunakan Simple Additive Weighting Affandi, Muhammad Mirza Kirana; Ginting, Subhan Hafiz Nanda
Jurnal Minfo Polgan Vol. 13 No. 1 (2024): Artikel Penelitian
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v13i1.14344

Abstract

Pemilihan perangkat Internet of Things (IoT) yang tepat menjadi tantangan penting dalam mendukung implementasi teknologi yang optimal di berbagai sektor. Perangkat IoT memiliki beragam spesifikasi dan fitur yang memengaruhi kinerja, efisiensi, dan kompatibilitas dengan kebutuhan pengguna. Penelitian ini bertujuan mengembangkan Sistem Pendukung Keputusan (SPK) untuk menentukan perangkat IoT terbaik berdasarkan kriteria yang relevan, seperti harga, kualitas, efisiensi energi, dan kemampuan integrasi. Metode Simple Additive Weighting (SAW) digunakan dalam sistem ini karena kemampuannya untuk memberikan penilaian yang transparan dan terstruktur berdasarkan bobot setiap kriteria. Hasil penelitian menunjukkan bahwa penerapan metode SAW dalam SPK mampu memberikan rekomendasi perangkat IoT yang akurat dan sesuai dengan kebutuhan pengguna. Sistem ini diharapkan dapat membantu pengambil keputusan dalam memilih perangkat IoT secara objektif dan efisien, serta mendukung pengembangan ekosistem IoT yang lebih baik.
DIABETES PREDICTION BASED ON MEDICAL RECORDS (PIMA INDIANS DIABETES DATASET) USING K-NN Ruziq, Fahmi; Wayahdi, M. Rhifky; Ginting, Subhan Hafiz Nanda
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 8, No 3 (2025): August 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v8i3.2981

Abstract

Abstract: The development of predictive technologies, especially artificial intelligence (AI) and machine learning, has opened up great opportunities in the health sector, including early detection of chronic diseases such as diabetes. This study aims to implement the K-Nearest Neighbors (KNN) algorithm in predicting the likelihood of a person having diabetes based on medical record data from the Pima Indians Diabetes Dataset. The dataset consists of 768 samples with eight key health features. The analysis process includes data cleaning, data distribution exploration, and data preparation for the modelling process. The distance between data is calculated using the Euclidean formula, and normalization is performed so that all features have equal weight. The data was then divided into training and test data with a ratio of 80:20. The analysis results showed an unbalanced class distribution, with more non-diabetic patients than those with diabetes. The age group of 21-30 years dominates in the dataset. The implementation of KNN in this study shows that the method is effective for medical classification based on numerical data. This research demonstrates the potential of KNN as a practical and easy-to-implement early diagnosis tool in data-driven health systems. Keyword: K-Nearest Neighbors, diabetes prediction, machine learning, medical data, classification. Abstrak: Perkembangan teknologi prediktif, khususnya kecerdasan buatan (AI) dan pembelajaran mesin (machine learning), telah membuka peluang besar dalam bidang kesehatan, termasuk deteksi dini penyakit kronis seperti diabetes. Penelitian ini bertujuan untuk mengimplementasikan algoritma K-Nearest Neighbors (KNN) dalam memprediksi kemungkinan seseorang menderita diabetes berdasarkan data rekam medis dari Pima Indians Diabetes Dataset. Dataset terdiri dari 768 sampel dengan delapan fitur kesehatan utama. Proses analisis meliputi pembersihan data, eksplorasi distribusi data, serta persiapan data untuk proses modeling. Jarak antar data dihitung menggunakan rumus Euclidean, dan dilakukan normalisasi agar seluruh fitur memiliki bobot yang seimbang. Data kemudian dibagi menjadi data latih dan uji dengan rasio 80:20. Hasil analisis menunjukkan distribusi kelas yang tidak seimbang, dengan jumlah pasien non-diabetes lebih banyak dibandingkan yang menderita diabetes. Kelompok usia 21–30 tahun mendominasi dalam dataset. Implementasi KNN dalam studi ini menunjukkan bahwa metode ini efektif digunakan untuk klasifikasi medis berbasis data numerik. Penelitian ini mendemonstrasikan potensi KNN sebagai alat bantu diagnosis awal yang praktis dan mudah diimplementasikan dalam sistem kesehatan berbasis data. Kata kunci: K-Nearest Neighbors, prediksi diabetes, machine learning, data medis,                     klasifikasi.
Co-Authors Affandi, Muhammad Mirza Kirana Darmayanti, Putri Dewi Wahyuni Fachry Abda El Rahman Hardianti, Eva Herdwiyani, Putri M. Rhifky Wayahdi Muhammad Kadafi Nuranisah Nuranisah Purwawijaya , Ellanda Rambe, Aripin ruziq, fahmi Singh , Bodhisatva Thania , Sheila Try Zhang , Jiazhen