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All Journal Berkala Ilmiah Pertanian Jurnal Manajemen & Keuangan Jurnal Sinar Manajemen Jurnal Intek Akuakultur Mimbar Ilmu Alamtara: Jurnal Komunikasi dan Penyiaran Islam Agroprimatech Civilla : Jurnal Teknik Sipil Universitas Islam Lamongan Bada'a: Jurnal Ilmiah Pendidikan Dasar Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Jurnal Penelitian Ekonomi Akuntansi (JENSI) Jurnal Konversi Energi dan Manufaktur Jurnal Samudra Ekonomika Al-Hikmah Media Dakwah, Komunikasi, Sosial dan Kebudayaan Jurnal Cahaya Mandalika Jurnal Kesehatan Tambusai Global Science Society Pendagogia: Jurnal Pendidikan Dasar Jurnal EduHealth Jurnal Riset dan Pengabdian Masyarakat Indo-MathEdu Intellectuals Journal Jurnal Pengabdian Masyarakat Aufa (JPMA) Indonesian Journal of Islamic History and Culture Jurnal Ilmu Pendidikan Dasar Indonesia Al-Hijr: Journal of Adulearn World Jurnal Manajemen dan Perbankan (JUMPA) Jurnal Algoritma Journal of Artificial Intelligence and Engineering Applications (JAIEA) Jurnal Abdi Masyarakat Multidisiplin Public Health and Safety International Journal (PHASIJ) Jurnal Mekar International Review of Practical Innovation, Technology and Green Energy (IRPITAGE) Journal of Accounting Research, Utility Finance and Digital Assets (JARUDA) Jurnal Mahasiswa Akuntansi Samudra Caruban: Jurnal Ilmiah Ilmu Pendidikan Dasar Pro Health Jurnal Ilmiah Kesehatan MEDALION JOURNAL: Medical Research, Nursing, Health and Midwife Participation MULTIPLE: Journal of Global and Multidisciplinary Jurnal Media Akademik (JMA) kawanad Jurnal Masyarakat Berdikari dan Berkarya (MARDIKA) Jurnal Pendidikan Dasar dan Keguruan Journal of Multidisciplinary Inquiry in Science, Technology and Educational Research Jurnal Intervensi Sosial PUBLIDIMAS Journal Economic Business Innovation JURNAL PENGABDIAN PEMBANGUNAN PERTANIAN DAN LINGKUNGAN (JP3L) Jurnal Payung Sekaki : Kajian Keislaman AT-TAKLIM: Jurnal Pendidikan Multidisiplin ORAHUA : Jurnal Pengabdian Kepada Masyarakat Jurnal Ilmu Komputer dan Teknologi Informasi Journal Dekstop Application (JDA) Seumike : Society Progress Journal Jurnal Mutiara Hukum Journal Science Informatica and Robotics Jurnal Ilmu Komputer dan Teknik Informatika
Safrizal
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Meningkatkan Minat Belajar Siswa dengan Menggunakan Teknologi Multimedia (Wordwall) pada Pembelajaran Seni Budaya Kelas VII di Tingkat SMP Sriwahyuni, Nefi; Safrizal; Kafryati, Bettri; Angelia, Nola; Asmiati; Aslita
Indo-MathEdu Intellectuals Journal Vol. 4 No. 3 (2023): Indo-MathEdu Intellectuals Journal
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/imeij.v4i3.835

Abstract

This classroom action research aims to increase students' interest in learning in class VII at junior high school level. The school used as the treatment site was SMPN 8 Tanjung Jabung Timur. This is based on a lack of interest in studying arts and culture because of online learning which was previously carried out in elementary schools and only assignments were given via WhatsApp messages. The use of multimedia technology used in this PTK is the use of wordwall. This research uses the classroom action research method, which is better known as classroom action research. In the research subject class, the number of participants was 16 students in class VII at junior high school level. The instrument for this research is a descriptive teacher assessment journal. After implementing it in cycle one for 4 meetings, it was found from the results of the teacher's assessment journal that students' interest in learning increased as indicated by indicators of interest in learning, namely feelings of happiness, student interest, student attention, student involvement. Therefore, this classroom action research has been said to have succeeded in achieving the target in the implementation of one cycle.
ANALISIS HUKUM TERHADAP PERLINDUNGAN SAKSI DAN KORBAN DALAM PERKARA TINDAK PIDANA DI TINJAU DARI UNDANG-UNDANG NOMOR 13 TAHUN 2006 TENTANG PERLINDUNGAN SAKSI DAN KORBAN Safrizal; Marbun, Monica; Purba, Parlindungan; Hutagalung, Malthus; Saragih, Dikki Saputra
JURNAL MUTIARA HUKUM Vol. 7 No. 1 (2024): Jurnal Mutiara Hukum
Publisher : Hukum Universitas Sari Mutiara Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51544/jmh.v7i1.5476

Abstract

Keterangan saksi mata merupakan alat bukti penting yang secara praktis dibutuhkan dalam setiap perkara pidana. Oleh karena itu, korban dan saksi sangat membutuhkan perlindungan hukum untuk meredakan ketakutan mereka dan melindungi mereka dari para pelaku kejahatan yang berusaha membungkam dan mencegah mereka memberikan keterangan yang jujur ​​di pengadilan. Tujuan penelitian ini adalah untuk mengkaji isu-isu berikut: tantangan yang dihadapi oleh korban dan saksi dalam memperoleh perlindungan dari Lembaga Perlindungan Saksi dan Korban (LPSK) dalam sistem peradilan pidana; dan pelaksanaan perlindungan korban dan saksi dalam sistem peradilan pidana. Wawancara dan penelitian dokumenter menjadi tulang punggung proses pengumpulan data dalam studi empiris ini. Temuan penelitian ini menunjukkan bahwa Undang-Undang Perlindungan Saksi dan Korban Amerika Serikat No. 13 Tahun 2006, yang memberikan perlindungan hukum bagi para saksi, menandai dimulainya pelaksanaan kebijakan yang bertujuan untuk melindungi saksi dan korban. Prosedur perlindungan saksi dan korban diuraikan dalam Peraturan LPSK No. 6 Tahun 2010, yang mengatur pengajuan permohonan perlindungan kepada LPSK. Bersamaan dengan itu, kedudukan Ropsk di ibu kota, pola pikir penegak hukum, dan kemitraan Ropsk dengan organisasi lain semuanya bertentangan dengan upaya perlindungan saksi dan korban.
IMPLEMENTASI JARINGAN LAN DAN WLAN PADA MIKROTIK (STUDI KASUS LABORATORIUM JARINGAN KOMPUTER UIN SUSKA RIAU) Abdul Haris Kurnia Sandi Harahap; May Sra Handika; Nurul Fajri; Safrizal
JOCITIS-Journal Science Infomatica and Robotics Vol. 1 No. 4 (2024): JOCOTIS - Journal Science Informatica and Robotics
Publisher : JOCITIS-Journal Science Infomatica and Robotics

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Dalam era digital saat ini, keberadaan jaringan komputer menjadi suatu kebutuhan krusial bagi berbagai lembaga dan organisasi. Local Area Network (LAN) dan Wireless Local Area Network (WLAN) merupakan infrastruktur jaringan yang umum digunakan untuk mendukung konektivitas dan pertukaran informasi antar perangkat. MikroTik, sebagai salah satu penyedia perangkat jaringan, menawarkan solusi yang dapat diandalkan dalam mengelola jaringan LAN dan WLAN. MikroTik dengan reputasi sebagai penyedia perangkat jaringan yang terkemuka, menarik perhatian sebagai pilihan yang potensial untuk memenuhi kebutuhan tersebut. Selain itu, keberhasilan implementasi jaringan LAN dan WLAN pada MikroTik juga dapat memberikan panduan praktis bagi organisasi yang tengah mempertimbangkan atau merencanakan peningkatan infrastruktur jaringan mereka. Fokus penelitian ini adalah Laboratorium Jaringan Komputer di UIN Suska Riau, di mana efektivitas dan efisiensi router dan titik akses MikroTik dievaluasi dalam lingkungan pendidikan dunia nyata. Studi ini dimulai dengan gambaran umum tentang teknologi MikroTik, dengan menekankan perannya dalam menciptakan infrastruktur jaringan yang kokoh dan dapat diskalakan. Selanjutnya, penelitian ini mendalami persyaratan khusus dan tantangan yang dihadapi oleh Laboratorium Jaringan Komputer, memberikan wawasan tentang kebutuhan integrasi LAN dan WLAN untuk konektivitas yang lancar. Dengan pemahaman yang lebih baik tentang potensi MikroTik, diharapkan dapat memperkuat fondasi teknologi informasi organisasi dan meningkatkan daya saing di era digital ini.
Analisis Clustering Gaji Karyawan Menggunakan K-Means dan Elbow Method Rumah Sakit XYZ Hudri Ritonga, Adrian Marsa; Safrizal
Jurnal Algoritma Vol 22 No 2 (2025): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.22-2.2915

Abstract

Transformasi digital pada sektor layanan kesehatan menuntut rumah sakit untuk mengelola data secara lebih efektif, termasuk dalam manajemen sumber daya manusia. Salah satu aspek penting dalam pengelolaan karyawan adalah analisis distribusi gaji, karena ketidakseimbangan gaji dapat memengaruhi motivasi, kinerja, dan retensi karyawan. Penelitian ini bertujuan untuk menganalisis pola distribusi gaji karyawan dan mengelompokkan karyawan berdasarkan tingkat gaji guna mendukung pengambilan keputusan manajemen SDM. Metode yang digunakan adalah K-Means Clustering dengan bantuan Elbow Method untuk menentukan jumlah klaster optimal. Dataset terdiri dari data gaji karyawan Rumah Sakit XYZ periode Januari–Desember 2024. Proses penelitian mencakup pengumpulan data, preprocessing, penentuan jumlah klaster optimal, penerapan K-Means, serta visualisasi hasil menggunakan scatter plot, diagram batang, dan tabel ringkasan. Hasil analisis menunjukkan bahwa data gaji karyawan terbagi menjadi tiga klaster utama: Cluster 0 dengan gaji rendah, Cluster 1 dengan gaji menengah, dan Cluster 2 dengan gaji tinggi. Visualisasi hasil analisis mempermudah manajemen dalam memahami distribusi gaji dan mengambil keputusan terkait strategi kompensasi. Penelitian ini memberikan kontribusi dalam membantu rumah sakit memanfaatkan analisis data berbasis machine learning untuk meningkatkan transparansi pengelolaan gaji dan mendukung pengambilan keputusan yang lebih tepat sasaran. Selain itu, penelitian ini juga memberikan kontribusi teoretis dengan memperluas literatur mengenai penerapan data mining dalam manajemen sumber daya manusia, khususnya pada sektor kesehatan, sehingga memperkaya perspektif akademik dalam kajian manajemen SDM berbasis teknologi.
Home industry entrepreneurship empowerment: LINSU production to support the economy of families around campus Siregar, Indah Adelina; Safrizal; Sandra, Indah Kartika
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol. 10 No. 4 (2025): November 2025
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v10i4.15588

Abstract

This Community Service Program (PKM) was conducted around the campus of Universitas Satya Terra Bhinneka with the aim of enhancing community skills in producing and marketing dishwashing liquid as a home industry. The activity began with a pre-test to assess participants’ initial understanding of the production process, packaging, and marketing strategies. The pre-test results showed that most participants had no prior experience in soap making and limited knowledge of packaging and product marketing. The training included a live demonstration of the soap-making process, followed by sessions on product packaging and marketing strategies, particularly through the use of social media. Post-training evaluation showed significant improvements: 90.32 percent of participants understood the soap-making process, 100 percent grasped proper packaging techniques, and 74.19 percent understood how to utilize digital marketing strategies. Interest in starting a dishwashing liquid business increased from 29.03 percent to 77.42 percent after the training. This program effectively provided practical and applicable skills, promoted economic self-reliance, and strengthened the synergy between the university and the community in developing local potential. The training is expected to stimulate the emergence of new, sustainable, and competitive household-based business units in the local market.
PENYULUHAN IMUNISASI DASAR LENGKAP PADA IBU BADUTA DI DESA ATEUK LAMPHANG Safrizal; Ulfa, Mutia; Suhariati, Nadia; Margfirah; Depari, Desli Lonika Br; Aulia, Tazkiyatul
Jurnal Pengabdian Masyarakat Aufa (JPMA) Vol. 7 No. 3 (2025): Vol. 7 No 3 Desember 2025
Publisher : Universitas Aufa Royhan Di Kota Padangsidipuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51933/jpma.v7i3.2241

Abstract

A reduction in vulnerability to contagious diseases among babies and toddlers had resulted from undergoing the full program of core vaccinations. However, in Ateuk Lamphang Village, the coverage of complete basic immunization remains very low, partly due to mothers’ limited knowledge and concerns about Adverse Events Following Immunization (AEFI). Improvement in maternal understanding regarding immunization for children under two had been evaluated in this community program to see how effective the counseling was. The counseling activity was carried out interactively using posters and PowerPoint slides, involving 11 mothers as participants through total sampling. Initial and concluding tests had provided the basis for evaluation, and the data were further interpreted using the McNemar statistical technique. The results showed an increase in knowledge, where prior to counseling most mothers had low knowledge (63,6%) and only 36,4% had good knowledge. After the counseling, the proportion of mothers with good knowledge increased to 90,9%, while those with low knowledge decreased to 9,1%. The McNemar test indicated a p-value of 0,031 (p < 0,05), meaning there was a certain significance differences in mothers’ knowledge before and after counseling. It can be concluded that counseling on complete basic immunization is effective in improving the knowledge of mothers with children under two years old in Ateuk Lamphang Village.
EFFECTIVENESS OF ECO-ENZYME DOSAGE ON THE GROWTH OF POTATO PLANTLET CUTTINGS (Solanum tuberosum L.) OF THE GRANOLA KEMBANG VARIETY Sandi, Mei Ryan; Safrizal
Agroprimatech Vol. 9 No. 2 (2025): Agroprimatech
Publisher : Prodi Agroteknologi Fakultas Agro Teknologi Universitas Prima Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34012/agroprimatech.v9i2.7706

Abstract

This study aims to determine the effectiveness of various doses of eco-enzyme on the growth of Granola Kembang potato (Solanum tuberosum L.) plantlets. The study was conducted at the Screen House of the Kutagadung Horticultural Seed Center, Berastagi, Karo Regency, from December 2017 to January 2018. A completely randomized design (CRD) was used with four eco-enzyme dose treatments: 0 mg/L (control), 70 mg/L, 150 mg/L, and 250 mg/L, each repeated three times. The parameters observed included plant height, number of leaves, and leaf area. The data were analyzed using analysis of variance (ANOVA) and followed by a 5% DMRT test. The results showed that eco-enzyme application had a significant effect on the growth of potato planlets. The 150 mg/L dose produced the best growth in all parameters, with an average plant height of 12.84 cm, 10.23 leaves, and a leaf area of 36.77 cm². The 250 mg/L dose was not significantly different from the 150 mg/L dose, but it was higher than the control. It can be concluded that the 150 mg/L dose is the optimum dose for the growth of Granola Kembang potato planlets.
ANALYSIS OF CONSOLIDATED ANNUAL FINANCIAL REPORT PT BANK CENTRAL ASIA TBK (BBCA) PERIOD 2023-2024 Najmul Basim; Ariska Ananda P; Safrizal; Masdi; Saharuddin
Journal of Accounting Research, Utility Finance and Digital Assets Vol. 3 No. 2 (2024): October
Publisher : PT. Radja Intercontinental Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/jaruda.v3i2.304

Abstract

Abstract*
Sistem Temu Balik Informasi Berbasis Fuzzy String Matching untuk Pencarian Nama Kontak Damanik, Najwa Salsabila; Afrilia, Putri; Syahara, Adinda; Safrizal
Jurnal Ilmu Komputer dan Teknik Informatika Vol. 2 No. 1 (2026): Januari 2026
Publisher : CV. Raskha Media Group

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.64803/juikti.v2i1.97

Abstract

Pencarian yang kurang efektif sering kali terjadi karena kesalahan ketik, salah ejaan, atau pengguna yang lupa cara mengeja nama dengan benar saat mencari seseorang di daftar kontak. Untuk membuat pencarian kontak lebih akurat dan fleksibel, proyek ini berencana membangun dan menerapkan sistem penelusuran informasi berbasis web yang memanfaatkan algoritma pencocokan string fuzzy. Metode pencocokan string perkiraan ini menggunakan algoritma Jarak Levenshtein, yang membantu sistem menemukan kesamaan antara kata kunci yang diketik pengguna dan nama-nama di database, bahkan jika ada perbedaan karakter dari kesalahan ketik atau singkatan. Sistem dikembangkan dengan bahasa pemrograman PHP, database MySQL, dan framework UI Bootstrap. Sistem ini mampu menampilkan daftar kontak relevan berdasarkan jarak edit terkecil, dengan hasil diurutkan dari yang paling mirip, seperti yang terlihat dari hasil pengujian fungsional. Pengujian menunjukkan bahwa pencocokan fuzzy efektif menangani input yang tidak tepat saat mencari nama. Akibatnya, sistem ini lebih adaptif dibandingkan metode pencarian tradisional yang ketat, karena menyederhanakan, mempercepat pencarian, dan lebih tahan terhadap kesalahan data. Harapannya, sistem ini akan berguna baik untuk keperluan pribadi maupun organisasi..
Dinamika Interaksi Publik pada Isu Sosial Viral di Media Sosial: Studi Wacana di Instagram dan X hasmuni; Safrizal
ALAMTARA Vol 9 No 2 (2025): Alamtara: Jurnal Komunikasi dan Penyiaran Islam
Publisher : Program Studi Komunikasi dan Penyiaran Islam (KPI) Institut Agama Islam Tarbiyatut Tholabah (IAI TABAH)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58518/alamtara.v9i2.4439

Abstract

This study aims to analyze public interaction patterns within the dynamics of opinion wars on viral social issues in 2025, using Instagram and X (Twitter) as case studies. Viral phenomena are understood as arenas of meaning production and exchange, where users respond through comments, reposts, and hashtag participation. This research employs a qualitative method with a discourse analysis approach to explore message construction, interaction patterns, and public opinion orientation. Symbolic Interaction Theory is used to explain how meanings are created and negotiated among users, while the Spiral of Silence Theory is applied to understand the tendency of users to support or withhold opinions based on the dominance of the majority opinion in digital spaces. Data were collected through the documentation of 250 viral posts on Instagram and X, as well as an analysis of over 10,000 comments and 1,500 retweets between January and April 2025, during the peak period of viral issue visibility. The findings indicate that opinion wars are driven not only by ideological differences but also by algorithmic mechanisms that amplify the visibility of specific messages. Public interactions tend to form two dominant camps that reinforce their narratives through comments, retweets, and symbolic support. It was also found that users with minority opinions are more likely to remain silent or migrate to closed discussion spaces, such as WhatsApp groups or Instagram’s Close Friends feature. This study concludes that opinion wars on social media are communicative processes influenced by symbolic meaning, social pressure, and algorithmic amplification, which may exacerbate social polarization. The findings provide deeper insights into the dynamics of public opinion formation and the impact of algorithms on digital communication in the 2025 social media environment.
Co-Authors Abdul Haris Kurnia Sandi Harahap adhar, Deni Afrilia, Putri Afriyani Afriyani Yanti Ahmad, Adi Ahmad, Hikmad Tullah Aida Safitri Akmaluddin Akmaluddin Alamsyah, T. Alfisyahrin Alfisyahrin, Alfisyahrin Amalia, Wirda Anastasha, Desty Ayu Andri Wibowo Andrian Syahputra Angelia, Nola Anugrah, Rindy Anwar, Sufyan Ardhana, Putri Syafira Arief Diana, Muhammad Ariska Ananda P Arusman Aslita Asmiati Asra Aulia, Tazkiyatul Ayu Anastasha, Desti Bob Subhan Riza Cut Suciatinas Silvia Damanik, Najwa Salsabila Danar Hadisugelar Darmawan Dela Arinda Delfian Masrura Deni Adhar Depari, Desli Lonika Br Desi Sitompul Dewi Rosa Indah Dhafir, Muhammad Dianawati Duana, Maiza Elis Komalasari Erninda, Cut Eva Flourentina Kusumawardan Farisni, Teungku Nih Farisni Fikri Faidul Jihad Firman Firdauz Saputra Fitriani Fitriani Hanief Furqani Hanifah, Uli hasmuni Heltha, Fahri Henky Irawan Hudri Ritonga, Adrian Marsa Hutagalung, Malthus Indah Adelina Siregar Is, Jun Musnadi Iswahyudi Jonnedi Juli Iriani Jumara, Aldona Jun Musnaidi Is Junizar Kafryati, Bettri Komalasari, Elis Kusumawardani, Eva Flourentina Leni Rahayu Lili Tanti Lili Tanti, Lili Lindung Bulan, T. Putri Luthfi M. Haidil Umam Maqhfira, Raudhia Marbun, Monica Mardi Fadillah Margfirah Marneli, Diyyan Masdi Maulana Pratama , Rizal Maulani, Zahratul May Sra Handika Merlianita Sari, Novi Mey Ryan Sandi Meylis Safriani Michel Kasaf MIFTAHUL JANNAH Miswar Muhammad Arrie Rafshanjani amin Muhammad Faris Muhammad Fazis MUHAMMAD FUAD Muhammad Idkham Muhammad Salman Mutiara Fahmi Najmul Basim Nasruddin AS Nasrul Fatah Neti Maharani Nety Juwita Lubis Nur Alfadila Nurainun Nurmalinda Siregar Nurul Fajri Onetusfifsi Putra Parlindungan Purba, Parlindungan Perry Boy Chandra Siahaan Putra , Onetusfifsi Putri Tahlya Nasrul Rabiana Saragih rahma yunita Rahmad Tantawi Rahmi, Alfani Rasmon Ridho, Irdian Rimonda, Rubi Riza Juanda, Boy Saharuddin Saiful Mahdi Salman Sandela, Putri Sandi, Mei Ryan Sandi, Mey Ryan Sandra, Indah Kartika Saragih, Dikki Saputra Serino Siahaan, Perry Boy Chandra Silvia, Eliza Simalango, Clarensia Mende Siregar, Siti Maisyaroh Siti Maisyaroh Fitri Siregar Siti Zulaikha Sitinjak, Marnala Sriwahyuni, Nefi Suhariati, Nadia Sunarti Surbakti, Dio Febrian Susi Sriwahyuni Susy Sriwahyuni syah, T. Alam Syahara, Adinda Syahrizal Syamsul Bahri Syukriyadin Tambunan, Hardiansyah Teuku Zulyadi Teungku Nih Farisni Tuti Meutia ulfa, mutia Wahyudi Ilham Wirdayani Wahab Wiwin Kusuma Atmaja Putra Yan Yang Thanri Yani Rizal Yulia, Resti Yuliana, Mira Yulita, Anggina Yuni Sartika Pratiwi