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All Journal Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Penelitian Pendidikan IPA (JPPIPA) JURNAL PENDIDIKAN TAMBUSAI Eksakta : Berkala Ilmiah Bidang MIPA Jurnal Teknologi Informasi dan Pendidikan Suluah Bendang: Jurnal Ilmiah Pengabdian Kepada Masyarakat Jurnal Pengabdian kepada Masyarakat Nusantara Jurnal Talenta Sipil Abdimas Indonesian Journal Jurnal Kependudukan dan Pembangunan Lingkungan (JKPL) Journal of Authentic Research The Indonesian Journal of Computer Science
Syafrijon, Syafrijon
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Implementasi ESA Pada Pengamatan Lapangan di Kabupaten Pasaman Barat Bismihayati, Bismihayati; Agustanto, Dedy; Azriadi, Emon; Fatmawati, Fatmawati; Warmansyah, Frinsis; Nata, Lismomon; Wirman, Rahmi Putri; Joni, Riri Rahmawati; Sari, Mila; Gusfira, Mona; Sari, Serly Mutia; Wardeni, Siska; Syafrijon, Syafrijon
Jurnal Kependudukan dan Pembangunan Lingkungan Vol 4 No 1 (2023): Jurnal Kependudukan dan Pembangunan Lingkungan (JKPL)
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jkpl.v4i1.184

Abstract

Indonesia memiliki banyak wilayah dengan potensi pertambangan yang besar, diantaranya Nagari Muaro Kiawai, Kecamatan Gunung Tuleh, Kabupaten Pasaman Barat. Namun, dengan melakukan operasi penambangan skala kecil di daerah dekat sungai dan di tengah hutan yang berdampak negatif terhadap ekosistem, kegiatan penambangan emas ilegal telah menjadi sumber pendapatan bagi masyarakat di Nagari Muaro Kiawai. Tujuan dari survei lapangan ini adalah untuk mengetahui seberapa besar kerusakan ekosistem dan kehidupan nelayan di Nagari Muaro Kiawai yang terus menerus dirusak oleh penambangan emas. Dari hasil temuan diketahui bahwa kegiatan PETI berpengaruh nyata terhadap kualitas lingkungan di hilir dan kelestarian lingkungan serta degradasi lingkungan berdampak nyata terhadap hasil tangkapan ikan bagi nelayan, sehingga mempengaruhi pendapatan/pendapatan, sehingga ada ada beberapa rekomendasi yang dihasilkan dari kegiatan ini antara lain mentaati prinsip-prinsip mengenai pengelolaan lingkungan hidup dan adanya sanksi yang tegas terhadap pelaku perusakan lingkungan hidup, diperlukan gugus tugas yang melibatkan semua pihak untuk menindak tegas para perusak lingkungan hidup.
Proses Transformasi: Tinjauan Literatur pada Kawasan Industri Konvensional Menuju Kawasan Industri Berbasis Eco-Smart Syafrijon, Syafrijon
Jurnal Talenta Sipil Vol 7, No 2 (2024): Agustus
Publisher : Universitas Batanghari Jambi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33087/talentasipil.v7i2.519

Abstract

Industrial estates contribute to the economy, but conventional estates can damage the environment. Green technology innovation, especially bio-based and renewable energy, is the solution. Investments in green technology support both the environment and the economy. And the 4th industrial revolution emphasizes sustainable manufacturing. So Eco-Smart based industrial estates with a focus on sustainability are the transformation solution. To knowing the framework for the transformation of conventional industrial estates to eco-smart based industrial estates and its impact on the industrial estate. This study used a literature review method that involved surveying various sources such as journals, books, documentation, internet, and literature relevant to the object of research. PICOT framework was used to search for international online journals with the keywords “Transformation Process, Conventional Industrial Estates, Eco-Smart Industrial Estates. The findings reveal that transforming industrial areas into eco-smart ones requires leadership, community participation and government financial support. Successful initiatives such as the Border Area Development Program in Saboo village, India, and China's progressive policies reflect a commitment to sustainable urbanization. The transformation process involves zone selection, context analysis, community participation, and optimization of Industrial Ecology (IE) and Industrial Symbiosis (IS). By reducing pollutant emissions, improving environmental quality, and contributing to urban green space construction, this transformation brings positive impacts in green innovation, industrial structure optimization, and environmental regulation strengthening, especially in eastern and northern cities with abundant human and financial resources.The transformation of conventional industrial estates to eco-smart industrial estates has resulted in positive impacts in innovation, improved environmental quality, and contributions to urban green spaces as well as financial improvements for the region. Top of Form
Design of a Sky Camera-Based Cloud Monitoring Camera at the Agam Space and Atmospheric Observation Station, Bukit Kototabang Syafrijon, Syafrijon; Fahmi Rahmatia; Ridho Pratama; Teguh Nugraha Pratama; Ednofri; Muzirwan; Ismail, Ainaa Maya Munira binti Ismail
EKSAKTA: Berkala Ilmiah Bidang MIPA Vol. 24 No. 03 (2023): Eksakta : Berkala Ilmiah Bidang MIPA (E-ISSN : 2549-7464)
Publisher : Faculty of Mathematics and Natural Sciences (FMIPA), Universitas Negeri Padang, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/eksakta/vol23-iss03/426

Abstract

Indonesia is a center of convection and acts as a driving force for global atmospheric circulation due to its geographical position. Moreover, Kototabang Hill is one of the national strategic areas in the equatorial atmospheric observation room with limited cloud cover data so that tools and development are needed to meet these data needs. Sky Camera for the purpose of observing clouds (Cloud Camera) is urgently needed to complement the need for cloud cover data to support observation and research activities in the field of the atmosphere. The Cloud Camera design is done by modifying the CCD Camera with several supporting devices including fish eye, solar tracker, sun filter and dome. Evaluation of the urgency of these enhancements is discussed in this paper. Among the four combinations of using supporting instruments (dome and sun filter) for the Cloud Camera device, the best image obtained is the device that uses a sun filter and without a dome. Among the four combinations of using supporting instruments (dome and sun filter) for the Cloud Camera device, the best image obtained is the device that uses a sun filter and without a dome.
Penerapan Data Mining Untuk Klasifikasi Calon Siswa Penerima Program Indonesia Pintar (PIP) Menggunakan Algoritma Naive Bayes Suciko, Adelina; Hendriyani, Yeka; Budayawan, Khairi; Syafrijon, Syafrijon
Jurnal Pendidikan Tambusai Vol. 9 No. 2 (2025): Agustus
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i2.27930

Abstract

Program Indonesia Pintar (PIP) merupakan bantuan pendidikan yang ditujuakan bagi siswa dari keluarga kurang mampu. Namun, proses penentuan kelayakan penerima di sekolah masih dilakukan secara manual sehingga rawan ketidaktepatan sasaran. Penelitian ini bertujuan untuk membangun model klasifikasi kelayakan penerima PIP menggunakan algoritma Naive Bayes. Data yang digunakan mencakup 379 siswa dengan atribut penghasilan ayah, penghasilan ibu, jumlah saudara kandung, penerima KIP, penerima KPS serta status layak PIP. Tahapan klasifikasi dilakukan menggunakan perangkat lunak Orange dan hasilnya divisualisasikan melalui Tableau. Model dievaluasi dengan metrik akurasi, precision, recall dan AUC. Hasil menunjukkan bahwa model memiliki akurasi 85,9%, precision 86,3%, recall 85,9% dan AUC 0,973. Visualisasi membantu memperjelas distribusi dan kelayakan PIP. Model ini dapat mendukung keputusan yang lebih objektif dalam penyaluran bantuan PIP.
Implementasi Model Yolov8 untuk Deteksi Jenis Sampah Organik dan Anorganik Berbasis Android Ridha, Muhammad Rasyid; Syafrijon, Syafrijon; Hendriyani, Yeka; Hadi, Ahmaddul
Abdimas Indonesian Journal Vol. 5 No. 1 (2025)
Publisher : Civiliza Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59525/aij.v5i1.655

Abstract

The mismanagement of waste poses serious environmental and public health issues in Indonesia, exacerbated by the increasing volume of waste due to population growth. To address this problem, this research develops a mobile application based on Flutter, utilizing YOLOv8 object detection technology to classify organic and inorganic waste. The application aims to simplify household waste sorting, raise public awareness, and support better and more sustainable waste management. The research methodology involves using a dataset of waste images trained with the YOLOv8 algorithm via google colab. The dataset is divided into training (70%), testing (20%), and validation (10%) portions. The model training process is conducted over 25 and 50 epochs, showing improved accuracy with more epochs. At the 50th epoch, the model achieved a precision of 0.81 and a recall of 0.61, demonstrating good performance in detecting and classifying waste. The implementation of this application is expected to facilitate waste sorting, reduce environmental pollution, and improve public health. Recommendations for further development include enhancing detection accuracy, expanding the range of detectable waste types, and optimizing application performance to ensure a better user experience.
Optimalisasi Klasifikasi Warna Badan Air Dengan Convolutional Neural Network Melalui Reduksi Kelas Skala Forel-Ule Prasetyo, Budi; Novaliendry, Dony; Sriwahyuni, Titi; Syafrijon, Syafrijon
Jurnal Teknologi Informasi dan Pendidikan Vol. 18 No. 1 (2025): Jurnal Teknologi Informasi dan Pendidikan
Publisher : Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/jtip.v18i1.970

Abstract

This study presents a method to optimize water color classification based on the Forel-Ule scale using a Convolutional Neural Network (CNN). The original 21-class system presents challenges such as high computational complexity, overlapping spectral characteristics, and class imbalance. A class reduction approach is proposed to group similar spectral categories into three ecologically meaningful classes: oligotrophic (clear blue), mesotrophic (greenish), and eutrophic (brownish). Using a dataset of 3,018 labeled water body images from EyeOnWater and implementing a CNN architecture trained on both the original and the reduced class schemes, the experimental results show that the reduced 3-class model achieved significantly higher accuracy (94.0%) compared to the original 21-class model (44.3%). These findings demonstrate that class reduction improves classification robustness, simplifies interpretation, and enhances practicality for real-world environmental monitoring.
Deteksi Anomali menggunakan Isolation Forest pada Permintaan Kebutuhan Farmasi Pasien di Rumah Sakit Mitra Sejati Medan Novaldi, Farhan; Syafrijon, Syafrijon; Hendriyani, Yeka; Anwar, Muhammad
Jurnal Pendidikan Tambusai Vol. 9 No. 2 (2025): Agustus
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai, Riau, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jptam.v9i2.30808

Abstract

Rumah Sakit Mitra Sejati Medan menghadapi tantangan dalam mengelola volume permintaan farmasi yang tinggi, menyebabkan proses verifikasi manual menjadi tidak efisien dan berisiko. Penelitian ini bertujuan merancang dan mengimplementasikan sistem deteksi anomali untuk meningkatkan efektivitas pengelolaan permintaan. Metode yang digunakan adalah algoritma Isolation Forest dengan menerapkan metodologi Cross-Industry Standard Process for Data Mining. Data historis permintaan obat, barang medis habis pakai, dan alat kesehatan diolah menggunakan Python untuk melatih model secara kontekstual. Hasil penelitian menunjukkan dari 2.167.942 transaksi, model berhasil mengidentifikasi 13.503 (0,62%) permintaan sebagai anomali statistik. Sistem yang dikembangkan melalui aplikasi web ini terbukti berhasil menjadi alat bantu keputusan berbasis data untuk meningkatkan efisiensi operasional, akurasi stok, dan memberikan peringatan dini.
Transformasi Digital UMKM di Nagari Taram melalui Pelatihan Desain Kemasan Canva dan Pemasaran Digital Berbasis Shopee Novaliendry, Dony; Syafrijon, Syafrijon; Sriwahyuni, Titi; Insan Aljundi, Ihsanul; Pati Harau, Frans Surya; Naufan Islami, Fattan; Makmur, Brian
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 6 No. 4 (2025): Edisi Oktober - Desember
Publisher : Lembaga Dongan Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55338/jpkmn.v6i4.7751

Abstract

Transformasi digital menjadi kunci bagi Usaha Mikro, Kecil, dan Menengah (UMKM) dalam meningkatkan daya saing di era digital yang semakin kompetitif, khususnya di wilayah Sumatera Barat. Kegiatan pengabdian ini bertujuan mendampingi UMKM di Nagari Taram melalui pelatihan desain kemasan menggunakan Canva dan pemasaran digital berbasis Shopee. Metode pelaksanaan meliputi asesmen kebutuhan, pelatihan aplikasi Canva untuk desain kemasan, serta pendampingan praktik pemasaran di Shopee. Hasil kegiatan menunjukkan adanya peningkatan pengetahuan dan keterampilan pelaku UMKM dalam menciptakan desain kemasan yang menarik dan melakukan pemasaran secara digital. Dampak utama yang dirasakan antara lain meningkatnya kepercayaan diri pelaku UMKM dalam branding produk, terbukanya akses pasar digital lebih luas, serta peningkatan interaksi dan penjualan melalui Shopee. Kesimpulan dari pengabdian ini bahwa pelatihan desain kemasan berbasis aplikasi yang mudah (Canva) serta implementasi pemasaran digital melalui marketplace mampu mempercepat proses transformasi digital UMKM perdesaan. Penguatan pendampingan dan akses edukasi lanjutan menjadi rekomendasi untuk sustainabilitas hasil kegiatan.
A Novel Framework for Dynamic Semantic Network Analysis with Evolutionary Community Detection Applied to LMS Research Anip Febtriko; Muhammad Giatman; Irfan, Dedy; Syafrijon, Syafrijon; Tri Rahayuningsih
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 10 No 2 (2026): April 2026
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29207/resti.v10i2.7250

Abstract

The rapid proliferation of Learning Management Systems (LMS) in K–12 education has generated a substantial body of research, yet how its core themes emerge, converge, and transform over time remains insufficiently understood. Existing bibliometric and topic modeling approaches produce static snapshots of the literature, structurally incapable of capturing the dynamic epistemic processes through which research communities form and evolve. This study introduces Dynamic Semantic Network Analysis with Evolutionary Community Detection (DSNA-ECD), a novel computational framework that conceptualizes the K–12 LMS research field as a living epistemic system — a conceptual reframing that constitutes a distinct contribution to the K–12 LMS literature beyond prior static approaches. DSNA-ECD integrates three methodologically principled components: transformer-based semantic embeddings via Sentence-BERT (`all-MiniLM-L6-v2`), selected for its capacity to capture latent semantic proximity beyond lexical co-occurrence; a hybrid weighting scheme empirically calibrated to balance structural and semantic network signals; and the Leiden algorithm for community detection, preferred over Louvain for its theoretical guarantee of well-connected partitions and superior modularity optimization. Applied to a two-decade corpus of K–12 LMS publications, findings reveal a maturing field progressing from exploratory fragmentation through consolidation toward sophisticated integration of AI-enhanced adaptive systems and learning analytics. Compared to co-citation analysis, LDA topic modeling, and static semantic networks, DSNA-ECD uniquely offers semantic depth, guaranteed community coherence, calibrated hybrid weighting, and full cross-temporal trajectory tracking. Critically, findings reveal urgent underrepresentation of equity, algorithmic transparency, and ethical deployment research as AI-enhanced LMS systems proliferate, with direct implications for researchers, educational technologists, and policymakers.
Literasi Lingkungan dan Perilaku Pro-Lingkungan Pekerja Tambang Batubara: Analisis Knowing-Doing Gap dalam Implementasi ISO 14001:2015 Febrian, Febrian; Syah, Nurhasan; Gusman, Mulya; Syafrijon, Syafrijon
Jurnal Penelitian Pendidikan IPA Vol 12 No 3 (2026): In Progress
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v12i3.14125

Abstract

This study examines the knowing-doing gap in environmental literacy among coal mine workers implementing ISO 14001:2015 at PT XYZ, South Sumatra. Despite being ISO 14001 certified, the gap between environmental knowledge and actual pro-environmental behavior remains a critical challenge in sustainable mining. Using a mixed-methods design, researchers surveyed 24 workers through questionnaires, semi-structured interviews, field observations, and document analysis. Environmental literacy was assessed through three dimensions: knowledge, attitudes, and behavior, based on the McBeth & Volk framework. Quantitative data were analyzed using descriptive statistics (SPSS 25), while qualitative data were analyzed through thematic analysis. The results indicate high environmental literacy knowledge (83% understand the policy) and positive attitudes (>65% agree with environmental responsibility), but low consistent behavior with only 42% attending regular training and 38% participating in reclamation programs, indicating a 41% gap. Key barriers include productivity pressures, inflexible training schedules, the absence of an incentive system, and weak management role models. ISO 14001:2015 effectively enhances the knowledge dimension through policy dissemination and audits, but fails to drive behavioral change without complementary organizational mechanisms. This research contributes to a conceptual model that integrates individual literacy with organizational determinants, demonstrating that sustainable mining requires systemic interventions beyond administrative compliance
Co-Authors Agustanto, Dedy Ahmaddul Hadi, Ahmaddul ANIP FEBTRIKO Aviola, Rawim Puja Bismihayati, Bismihayati Budayawan, Khairi Budi Prasetyo Cakranata, Raden Galuh Garhadi Dedy Irfan Delianti , Vera Irma Dony Novaliendry Ednofri Emon Azriadi Fahmi Rahmatia Fatmawati Fatmawati Fatmi, Yulia Febrian, Febrian Ganefri . Geovanne Farell Gusfira, Mona Insan Aljundi, Ihsanul Ismail, Ainaa Maya Munira binti Ismail Joni, Riri Rahmawati Krismadinata Krismadinata, Krismadinata Makmur, Brian Mila Sari Muhammad Anwar Muhammad Giatman Muhammad Rasyid Ridha Mulya Gusman Muzirwan Najna, Kimi Maulana Nata, Lismomon Naufan Islami, Fattan Nizwardi Jalinus Novaldi, Farhan Pati Harau, Frans Surya Putry, Shalshabila Shafa Rahmi Putri Wirman Ridho Pratama Sandra, Randi Proska Sari, Serly Mutia Suciko, Adelina Teguh Nugraha Pratama Titin Sriwahyuni Tri Rahayuningsih Wardeni, Siska Warmansyah, Frinsis Winda Lestari Siregar Yeka Hendriyani Yudhi Diputra