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All Journal Biosfer: Jurnal Tadris Biologi Jurnal Pekommas Jurnal Politik Profetik Al-Jabar : Jurnal Pendidikan Matematika JOIV : International Journal on Informatics Visualization JURNAL ILMIAH INFORMATIKA JTAM (Jurnal Teori dan Aplikasi Matematika) Biosel: Biologi Science and Education PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Jurnal Teknologi Terpadu Jurnal Ilmiah Akuntansi dan Finansial Indonesia Jurnal Performa: Jurnal Manajemen dan Start-up Bisnis Journal of System and Computer Engineering Indonesian Journal of Intellectual Publication (IJI Publication) Journal of Community Engagement Research for Sustainability East Asian Journal of Multidisciplinary Research (EAJMR) JURTEII: Jurnal Teknologi Informasi Jurnal Pengabdian Pelitabangsa Indonesian Journal of Advanced Social Works (DARMA) Economics, Business, Accounting & Society Review PEDAGOGIC: Indonesian Journal of Science Education and Technology Jurnal Informatika Polinema (JIP) Ihsanniat: Jurnal Pengabdian Kepada Masyarakat Journal of Architecture, Landscape & Urban Design
Rijal, Muhammad
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Nursing Public Health Social Sciences Other

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Penerapan Strategi Pembelajaran Card Sort dalam Meningkatkan Hasil Belajar Biologi pada Konsep Sistem Pencernaan Manusia Sunarmin, Wa Ode; Natsir, Nur Alim; Rijal, Muhammad
PEDAGOGIC: Indonesian Journal of Science Education and Technology Vol. 3 No. 1 (2023): PEDAGOGIC: Indonesian Journal of Science Education and Technology
Publisher : Lembaga Intelektual Muda (LIM) Maluku

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54373/ijset.v3i1.91

Abstract

This study aims to determine the application of card sort learning strategies in improving biology learning outcomes on the concept of the human digestive system of grade VIII students at SMP Negeri 6 Seram Barat. The type of research used in this study is Classroom Action Research. Activities carried out in each cycle include planning, implementation, observation, and reflection. The subjects in this study were grade VIII2 students at SMP Negeri 6 Seram Barat with a total of 33 students. To obtain data on learning outcomes, it is necessary to use instruments in the form of tests and observation sheets. This research is said to be successful if, the learning outcomes achieved by students in the implementation of the test have reached the Minimum Completeness Criteria, namely individually, namely student test results have reached a value of 67 and classically student learning completeness has reached 75%. The data analysis technique used by the authors in this study is descriptive analysis.  Based on the results of the study, it can be concluded that learning using the card sort method on digestive system material in humans can improve student learning outcomes in grade VIII SMP Negeri 6 Seram Barat
Deteksi Citra Daun untuk Klasifikasi Penyakit Padi menggunakan Pendekatan Deep Learning dengan Model CNN Rijal, Muhammad; Yani, Andi Muhammad; Rahman, Abdul
Jurnal Teknologi Terpadu Vol 10 No 1 (2024): Juli, 2024
Publisher : LPPM STT Terpadu Nurul Fikri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54914/jtt.v10i1.1224

Abstract

Agriculture is a vital sector related to food security. Rice is one of the productions that currently ranks third behind wheat and corn. However, in 2023, rice production in Indonesia will decrease 2022 by 1.12 million tons of GKG, and Diseases in plants are one of the causes of the reduced quantity of agricultural products. This research aims to detect disease in rice plants using leaf images with three classification classes and a test matrix to measure the model built. This research uses the Convolutional Neural Network (CNN) method to classify rice plants based on leaf images with 3 test scenarios using the Jupyter Notebook text editor tool for system coding. Research results with training show that the CNN model can classify diseases in rice based on leaf images. Of the 3 test scenarios carried out, scenario 2 shows the best results with Epoch 50 with training values ​​from the last Epoch, namely training accuracy 0.9905 and training loss 0.0280 while validation accuracy 0.8000 and The validation loss is 0.9222 with the confusion matrix showing the suitability of predictions based on class with the classification report good recall, precision and f1-score values, namely 1.00.
Evaluasi Algoritma Klasifikasi dengan Berbagai Metode Seleksi Fitur untuk Mendeteksi Aktivitas Trojan Rijal, Muhammad; Ilham, Amil Ahmad; Paundu, Ady Wahyudi
Jurnal Pekommas Vol 7 No 2 (2022): December 2022
Publisher : Sekolah Tinggi Multi Media “MMTC” Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56873/jpkm.v7i2.4842

Abstract

- Viruses are malicious programs that can be harmful. One of the most dangerous viruses is the trojan virus, where the trojan virus hides on the user's device without being aware of its existence. Trojan viruses can be very difficult to spot because they hide on network devices and disguise themselves as part of the device. However, when a network device is infected by a trojan virus attack, the activities that occur on the network will be different from usual activities. In network activity, there are various parameters that cause classification to take longer to predict. In this study, various comparisons of feature reduction algorithms between Coefficient Correlation, Information Gain, PCA, and LDA were carried out and tested the combination of classification model algorithms (Random Forest, Decision Tree, KNN, Naïve Bayes, AdaBoost) to detect the best trojan activity on the internet network. faster to increase security against trojan viruses. The results of the study show that the classification with maximum accuracy with the best time is obtained by a combination of Coefficient Correlation, Information Gain, and PCA using the Decision Tree classification, using a combination of feature selection and classification methods obtained 99% accuracy and prediction time of 0.0033 seconds.
WEB-BASED MAIL DATA MANAGEMENT INFORMATION SYSTEM IN THE DEPARTMENT OF CAPITAL INVESTMENT AND ONE-Stop INTEGRATED SERVICES WEST SUMATRA PROVINCE Rijal, Muhammad
JURTEII: Jurnal Teknologi Informasi Vol 3, No 2 (2024)
Publisher : Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22202/jurteii.2024.8791

Abstract

This research intends to create a web-based mail data management information system at Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Provinsi Sumatera Barat which can facilitate archivists in managing correspondence so as to speed up correspondence processing, make it easier for archivists to find evidence of correspondence, can store, change, print correspondence data and reduce the accumulation of archives in the workspace in the Secretariat. This research method is carried out by collecting data through internships, observations and interviews. The method used in developing this system uses the SDLC concept. At the analysis stage, the system modeling uses the Unified Modeling Language (UML) as a design tool. The implementation process is carried out using the MySQL database and the PHP programming language. The process of testing this system is carried out using the Black Box testing method. The results of the trial of the designed system have been in accordance with the needs expected by the agency. This research has produced a mail data management information system at Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Provinsi Sumatera Barat
Sistem Informasi Manajemen Data Surat Berbasis Web di Dinas Penanaman Modal Dan Pelayanan Terpadu Satu Pintu Provinsi Sumatera Barat Rijal, Muhammad; Mary, Thomson; Irsyadunas, Irsyadunas
JURTEII: Jurnal Teknologi Informasi Vol 1, No 2 (2022)
Publisher : Universitas PGRI Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1710.099 KB) | DOI: 10.22202/jurteii.2022.5711

Abstract

This research intends to create a web-based mail data management information system at Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Provinsi Sumatera Barat which can facilitate archivists in managing correspondence to speed up correspondence processing, make it easier for archivists to find evidence of correspondence, can store, change, print correspondence data and reduce the accumulation of archives in the workspace in the Secretariat. This research method is carried out by collecting data through internships, observations, and interviews. The method used in developing this system uses the SDLC concept. At the analysis stage, the system modeling uses the Unified Modeling Language (UML) as a design tool. The implementation process is carried out using the MySQL database and the PHP programming language. The process of testing this system is carried out using the Black Box testing method. The results of the trial of the designed system have been in accordance with the needs expected by the agency. This research has produced a mail data management information system at Dinas Penanaman Modal dan Pelayanan Terpadu Satu Pintu Provinsi Sumatera Barat
The Relationship between Placement, Environment, and Work Motivation with Employee Performance at the Medan City Education and Culture Office Kamarullah, Reza; Rijal, Muhammad; Rinaldi, Rinaldi; Rifyal, Rifyal; Muhibuddin, Muhibuddin; Safrida, Safrida
East Asian Journal of Multidisciplinary Research Vol. 3 No. 12 (2024): December 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/eajmr.v3i12.12023

Abstract

This study aims to analyze the influence of job placement, work environment, and work motivation on employee performance at the Medan City Education and Culture Office. The research method used was quantitative with a survey approach through a questionnaire to 109 respondents. The results of the study show that all three variables, both individually and simultaneously, have a positive and significant influence on employee performance. Work motivation has the most dominant influence, followed by the work environment and work placement. This research supports the theory of Person-Job Fit and Self-Determination and provides recommendations to improve employee performance through appropriate placement, a conducive work environment, and effective motivation.
Sustainable Sport Center Design in Kumantan Village Rijal, Muhammad; Husaini, Muhd. Arief Al; Kuswoyo, Indra; Hidayat, Wahyu; Mashuri, Mashuri; Dewi, Oriana Paramita
Indonesian Journal of Advanced Social Works Vol. 3 No. 1 (2024): February 2024
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/darma.v3i1.12780

Abstract

Kumantan Village, Kampar Regency, requires adequate sports facilities. The design of this Sport Center aims to provide eco-friendly and sustainable facilities to support community sports activities such as football, volleyball, and futsal. The Neo Vernacular architectural approach is applied to create a design that aligns with the local identity. A SWOT analysis reveals significant potential to improve public health, sports achievements, and open economic opportunities. The design includes a stadium, jogging track, multipurpose hall, and supporting facilities, which are expected to become a hub for sports and social activities in the village.
Pengembangan Platform Kampanye Digital Interaktif Menggunakan Metode Rapid Application Development: Studi Kasus relawandj.id Rijal, Muhammad; Aziz, Firman; Lestari, Putri Ayu
Indonesian Journal of Intellectual Publication Vol. 5 No. 1 (2024): Nopember 2024, IJI Publication
Publisher : Unit Publikasi Ilmiah Perkumpulan Intelektual Madani Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51577/ijipublication.v5i1.597

Abstract

Website relawandj.id dikembangkan sebagai platform informasi dan komunikasi untuk mendukung pencalonan Dominggus sebagai Bupati dan Jumriani sebagai Wakil Bupati Kabupaten Sarmi. Platform ini dirancang sebagai sarana kampanye politik digital yang efektif, informatif, dan mudah diakses oleh masyarakat. Penelitian ini bertujuan mengevaluasi elemen-elemen penting pada website, meliputi struktur navigasi, penggunaan plugin, desain responsif untuk tampilan mobile, serta penambahan konten seperti jadwal kampanye dalam format PDF yang sesuai regulasi Komisi Pemilihan Umum (KPU). Metode yang digunakan adalah Rapid Application Development (RAD), yang memungkinkan proses pengembangan website dilakukan secara interaktif dan dinamis dalam waktu singkat. Hasil penelitian menunjukkan bahwa penggunaan plugin, seperti 3D Flipbook untuk menampilkan dokumen PDF, All in One SEO untuk optimasi mesin pencari, dan Colibri Page Builder untuk meningkatkan antarmuka pengguna, memberikan pengalaman yang lebih baik bagi pengunjung. Selain itu, desain responsif terbukti memudahkan akses melalui perangkat mobile, sehingga memperluas jangkauan kampanye dan meningkatkan keterlibatan masyarakat.
Evaluating the Effectiveness of Online Learning Methods with a Probabilistic Naive Bayes Approach Butsiarah, Butsiarah; Rijal, Muhammad
Journal of System and Computer Engineering Vol 6 No 1 (2025): JSCE: January 2025
Publisher : Universitas Pancasakti

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61628/jsce.v6i1.1669

Abstract

Online learning methods become an important element in supporting the flexibility and effectiveness of teaching and learning process, especially through approaches such as Video Tutorial, Virtual Discussion, and Self-paced Reading. This research aims to evaluate the effectiveness of the three methods in improving students' engagement, comprehension, and learning motivation by utilizing Naive Bayes algorithm. The dataset used includes student data taken through questionnaires and teacher evaluation results, with variables such as material suitability, engagement, ease of access, and student exam results. Through this approach, the research is able to predict the learning method that best suits students' needs based on the analyzed variables. The results show that Video Tutorial is the most effective method in supporting students' understanding and motivation. The implementation of this research is expected to help the development of a better online learning system in improving students' learning experience, and provide practical recommendations for educators in choosing the right learning method.
Meningkatkan Literasi Kesehatan Melalui Pojok Literasi Inklusif: Upaya Pencegahan Stunting Berbasis Teknologi di Pedesaan Kalimantan Selatan: Enhancing Health Literacy Through an Inclusive Literacy Corner: A Technology-Based Approach to Stunting Prevention in Rural South Kalimantan Hendera, Hendera; Yunus, Muhammad; Fitriah, Aziza; Nadilla, Dhea; Dewi, Alya Puspita; Hidayah, Alfina; Rijal, Muhammad; Anggraini, Pitria; Hidayatullah, Rahmat; Susanti, Marisa; Putri, Annisa
PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat Vol. 10 No. 1 (2025): PengabdianMu: Jurnal Ilmiah Pengabdian kepada Masyarakat
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/pengabdianmu.v10i1.8403

Abstract

The community service program "Sehat Mandiri Patih Muhur Baru: Towards a Prosperous Village Through Inclusive Literacy Corner" was implemented to improve community knowledge and understanding of nutrition, health, and stunting prevention in Patih Muhur Baru Village, Barito Kuala Regency, South Kalimantan. This program integrates digital technology and practical health tools in the Inclusive Literacy Corner as an easily accessible center for health information and monitoring. The implementation methods include socialization, training of health cadres, technology application, mentoring, and evaluation. Results show significant improvements in community knowledge and awareness about balanced nutrition, exclusive breastfeeding, stunting prevention, and independent health monitoring. The Inclusive Literacy Corner recorded an average of 2 visitors per day with a total of 60 visits in the first month. Surveys indicate an increased understanding of stunting (80%), exclusive breastfeeding practices (85%), and utilization of health services (90% for Posyandu). The main challenges include limited internet access and low levels of digital literacy. This program demonstrates the potential of an inclusive health literacy approach in improving rural community health and supporting stunting prevention efforts.
Co-Authors Abdillah Abdillah Abdul Rahman Abdus Salam, Abdus Ajeng Gelora Mastuti Al Husaini, Muhammad Arief Al Husaini, Muhd Arief Alfina Hidayah Amil Ahmad Ilham Amirin, Amirin Andi Tenri Ola Rivai Andita Nurul Kurniawati Putri Anggraini, Pitria Annisa Putri Arifuddin Arifuddin Astri nadira, Nur Astuti, Lidya Aziza Icksan Butsiarah Darwis Said, Darwis Dewi, Alya Puspita Fauzan Ishlakhuddin Firman Aziz Hendera, Hendera Husaini, Muhd. Arief Al Indra Kuswoyo Irsyadunas, Irsyadunas Jamilah Jamilah Kamarullah, Reza Mardiah, Faijah Marlina Marlina Mashuri Mashuri Masi, Yusman Masnur Masnur Maulida, Sri Mediaty Mira Dharma Susilawaty Morian Saspriatnadi Mughaffir Yunus Muhajir Abd Rahman Muhammad Yunus Muhibuddin Muhibuddin, Muhibuddin Mulyani, Esti Mulyawati, Nina Yuliana Nadilla, Dhea Nani Nurani Muksin Natsir, Nur Alim Ningsih, Rahmi Dwi Nurmuzayyana, Nurmuzayyana Nurul Fathanah Mustamin Oriana Paramita Dewi Paundu, Ady Wahyudi Putri Ayu Lestari Rahmat Hidayatullah Ratna Ayu Damayanti Reja Fahlevi Rifqi Novriyandana Rifyal, Rifyal Rinaldi Rinaldi Rizal Fauzi Rosmiani, Ni Nengah Safrida Safrida Sahputri, Masri Yanti Sehuwaky, Nurlaila Sunarmin, Wa Ode Suryani, R. Lisa Susanti, Marisa Syamsurijal Syamsurijal, Syamsurijal Tanniewa, Adam M Thomson Mary, Thomson Tri Yunarni, Baiq Reinalda Wahyu Hidayat Yani, Andi Muhammad Yaqutina Marjani Santosa Zulkarnaim