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All Journal Jurnal Pilar Nusa Mandiri JITK (Jurnal Ilmu Pengetahuan dan Komputer) JURNAL ILMIAH INFORMATIKA METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Applied Information System and Management INTECOMS: Journal of Information Technology and Computer Science Jurnal Riset Informatika TEKNOKOM : Jurnal Teknologi dan Rekayasa Sistem Komputer BRITech : Jurnal Ilmiah Ilmu Komputer, Sains dan Teknologi Terapan REMIK : Riset dan E-Jurnal Manajemen Informatika Komputer Infotech: Journal of Technology Information Journal of Business and Audit Information System (JBASE) IWJ : Inland Waterways Journal Kohesi: Jurnal Sains dan Teknologi Indonesia Journal of Engineering and Education Technology (IJEET) Masyarakat Mandiri: Jurnal Pengabdian Dan Pembangunan Lokal Edumaspul: Jurnal Pendidikan INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER) International Journal of Teaching and Learning (INJOTEL) INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE (INJOLE)
Asrul Sani
Universitas Nasional, Jakarta Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Energy Engineering Languange, Linguistic, Communication & Media Mathematics Social Sciences Transportation Other

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KLASIFIKASI UNTUK MEMPREDIKSI TINGKAT KELULUSAN MAHASISWA STMIK WIDURI MENGGUNAKAN ALGORITMA NAÏVE BAYES David Imanuel, Alvian; Nawaningtyas Pusparini, Nur; Sani, Asrul
JURNAL ILMIAH INFORMATIKA Vol 12 No 01 (2024): Jurnal Ilmiah Informatika (JIF)
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/jif.v12i01.8201

Abstract

Student delays in completing their studies are experienced by most higher education institutions, for example at STMIK Widuri. STMIK Widuri must be able to predict student graduation early to prevent graduation that is not on time and maintain a good name and the accreditation assessment that has been obtained. For this reason, this research was conducted to predict the graduation of STMIK Widuri students using the classification method with the Naïve Bayes algorithm. Naïve Bayes is a classification algorithm that uses probability and statistics to predict a class. The dataset used is lecture activities of STMIK Widuri students class of 2021 from 2021-2022 odd to even 2022-2023 academic year and processed using the Rapidminer application. The dataset is processed through the stages of Knowledge Discovery in Database, including selection, pre-processing, transformation, data mining and evaluation stages. From the evaluation results using the confusion matrix on the distribution of training data 50% and data testing 50%, this study resulted in an Accuracy 93,10%, Precision 95,24%, and Recall 90%. In this way, it is hoped that STMIK Widuri can utilize attributes of the data stored in the database to be processed more optimally, for example using existing techniques in data mining.
The Impact Machine Learning Algorithms : Study Meta-Analysis Sani, Asrul; Oktavio, Adrie; Metasari, Rean; Santosa, Tomi Apra; sjoraida, Diah Fatma; Rembe, Elismayanti; Amri, Miftachul; Guna, Bucky Wibawa Karya
INTECOMS: Journal of Information Technology and Computer Science Vol 7 No 4 (2024): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v7i4.10860

Abstract

Machine Learning (ML) algorithms have revolutionized various fields, including science, technology, and business. This study conducted a meta-analysis to review the impact of ML algorithms on various domains. This research is a type of meta-analysis research. The data sources in this study come from 12 national and international journals published in 2022-2024. Data collection techniques through direct observation through journal databases. The inclusion criteria in this meta-analysis are research obtained from google scholar; ScienceDirect and ERIC, Research must be related to machine learning algorithms, research has complete data to calculate the effect size value. Data analysis in this study was conducted by statistical analysis with JSAP 0.16.3 application. The results of the study concluded that ML lgoritma has a significant impact on various fields including the discovery of new knowledge, process efficiency and accuracy in prediction with an effect size value of 0.793; p < 0.001. These findings show that ML algorithms have great potential to improve performance and efficiency in various fields.
DAMPAK KESIAPAN ORGANISASI TERHADAP KEBERHASILAN CLOUD COMPUTING DI UMKM DENGAN MODEL DELONE DAN MCLEAN Sani, Asrul; Andrianingsih, Andrianingsih; Aisyah, Siti; Taufik, Ahmad
Infotech: Journal of Technology Information Vol 10, No 2 (2024): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v10i2.325

Abstract

This study investigates the critical success factors for cloud computing adoption in small and medium enterprises (SMEs) in Jabodetabek by integrating the DeLone and McLean information systems success model with organizational readiness. Through a quantitative survey approach, the research examines how system quality, information quality, and service quality influence organizational readiness and, subsequently, user satisfaction and net benefits of cloud computing. Results indicate that service quality has the strongest impact on organizational readiness, underscoring the importance of technical support in facilitating technological change. Furthermore, organizational readiness significantly enhances user satisfaction and operational benefits, emphasizing that well-prepared internal structures and skilled human resources are essential for successful cloud adoption. The study provides valuable insights for SME managers to strengthen organizational readiness, particularly in cultural and technical aspects, to optimize cloud computing outcomes. It also offers practical recommendations for policymakers to design training programs that enhance SMEs' technological capabilities. This research contributes to the literature by integrating quality and readiness perspectives, filling a gap in understanding how these factors jointly influence cloud adoption in SMEs. Future research could explore the long-term impacts of cloud adoption and validate these findings across different sectors and regions. ABSTRAKPenelitian ini mengkaji faktor-faktor keberhasilan kritis dalam adopsi cloud computing pada usaha mikro, kecil, dan menengah (UMKM) di wilayah Jabodetabek dengan mengintegrasikan model kesuksesan sistem informasi DeLone dan McLean serta kesiapan organisasi. Melalui pendekatan survei kuantitatif, penelitian ini menganalisis bagaimana kualitas sistem, kualitas informasi, dan kualitas layanan memengaruhi kesiapan organisasi dan selanjutnya kepuasan pengguna serta manfaat bersih dari cloud computing. Hasil penelitian menunjukkan bahwa kualitas layanan memiliki dampak terkuat pada kesiapan organisasi, menyoroti pentingnya dukungan teknis dalam memfasilitasi perubahan teknologi. Selain itu, kesiapan organisasi secara signifikan meningkatkan kepuasan pengguna dan manfaat operasional, menegaskan bahwa struktur internal yang siap dan sumber daya manusia yang terampil sangat penting untuk keberhasilan adopsi cloud. Studi ini memberikan wawasan praktis bagi manajer UMKM untuk memperkuat kesiapan organisasi, terutama dalam aspek budaya dan teknis, guna mengoptimalkan hasil adopsi cloud computing. Rekomendasi juga diberikan kepada pembuat kebijakan untuk merancang program pelatihan yang meningkatkan kapabilitas teknologi UMKM. Penelitian ini berkontribusi pada literatur dengan menggabungkan perspektif kualitas dan kesiapan, mengisi kesenjangan dalam memahami pengaruh bersama faktor-faktor ini terhadap adopsi cloud pada UMKM. Penelitian selanjutnya dapat mengeksplorasi dampak jangka panjang adopsi cloud dan memvalidasi temuan ini di sektor dan wilayah berbeda.
APPLYING K-MEANS CLUSTERING FOR GROUPING PAPUA’S DISTRICTS BASED ON POVERTY INDICATORS ANALYSIS Yusriana Chusna Fadilah; Asrul Sani; Andrianingsih Andrianingsih
JITK (Jurnal Ilmu Pengetahuan dan Teknologi Komputer) Vol. 10 No. 3 (2025): JITK Issue February 2025
Publisher : LPPM Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/jitk.v10i3.5865

Abstract

In the context of Indonesia's resource-rich development, poverty remains a major challenge, especially in Papua Province which has the highest poverty rate. Although Papua is rich in resources such as minerals, tropical forests, and biodiversity, challenges such as economic inequality, lack of infrastructure, and social conflict hinder economic and social progress. This research aims to implement the K-Means Clustering algorithm to cluster districts/cities in Papua based on poverty indicators, including the percentage of poor people, poverty line, average years of schooling, human development index, poverty depth index, poverty severity index, unemployment rate, and per capita expenditure. The research methodology includes data collection from the Central Statistical Agency (BPS), data processing through cleaning and transformation stages, and application of K-Means Clustering to determine the optimal cluster using the elbow method and silhouette score. The results show that the districts/cities in Papua can be grouped into two main clusters: C0, which indicates high poverty rates and C1, which indicates low poverty rates. This research is expected to provide a strategic foundation for the government to design more focused and effective development policies in reducing poverty in Papua.
Effectiveness of IoT Integrated Problem Based Learning Model on Students Creative Thinking Skills Abilities Asrul Sani; Dewanto Dewanto; Heppy Sapulete; Via Yustitia; Adrie Oktavio; Tomi Apra Santosa; Ellina Rienovita
Edumaspul: Jurnal Pendidikan Vol 8 No 1 (2024): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v8i1.7715

Abstract

This study aims to determine the effectiveness of the Internet of Things (IoT) integrated problem-based learning model on students' creative thinking abilities. This type of research is a meta-analysis research by evaluating the effect of the size of IoT-based problem-based learning models on students' creative thinking skills. Data search keywords are problem-based learning models; IoT-based problem-based learning model; and Students' creative thinking skills. Data collection techniques are through direct observation of journal databases and documentation. The eligibility criterion is that research comes from journals indexed by SINTA, Scopus and Web of Science; Research must be published in 2020-2024; Research obtained through mendeley database, google scholar, Researchgate; ERIC, and ScienceDirect, research related to the effectiveness of IoT-based problem-based learning models on students' creative thinking skills and research has complete data to calculate the value of effect size. Data analysis is a quantitative analysis by calculating the effect size value with the Microsoft Excel 2020 application. The results of the study concluded from 12 journals analyzed the application of the Internet of Things (IoT)-based problem-based learning model had a significant influence on students' creative thinking ability with an average value of effect size of 0.942 This finding provides important information for teachers, the application of the problem-based learning model exerts a high category of influence to improve creative thinking skills in the learning process.
The Influence of the ICT- Based Inquiry Based Learning Model on Students' Critical Thinking Skills: Meta-analysis Asrul Sani; Miftachul Amri; Yosep Heristyo Endro Buruno; Venty Sopacua; Muhammad Lutfi; Tomi a Santosa
Edumaspul: Jurnal Pendidikan Vol 8 No 1 (2024): Edumaspul: Jurnal Pendidikan
Publisher : Universitas Muhammadiyah Enrekang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33487/edumaspul.v8i1.7785

Abstract

The purpose of this study was to determine the effect of ICT-based inquiry-based learning model on students' critical thinking skills. This research is a type of quantitative research with a meta-analysis approach. The data in this study came from the analysis of 16 national journals published in 2020-2024. The inclusion criteria in this meta-analysis consisted of experimental or quasi-experimental method research, data derived from SINTA and Scopus indexed journals or proceedings, research related to ICT-based inquiry-based learning models on students' critical thinking skills, sample size> 25 students; Data obtained from trusted databases, namely sciencedirect, ERIC, Wiley and Taylor of Francis and research describing complete data to calculate the effect size (ES) value. Data analysis in this study is quantitative analysis by calculating the effect size value of each study with the help of OpenMEE software. The results concluded that the ICT-based inquiry-based learning model had a positive effect on students' critical thinking skills with an ES value = 0.839; z= 6.024; < 0.001 This finding provides important information for educators in implementing ICT-based inquiry-based learning model in learning.
DEVELOPMENT OF AN E-LEARNING SYSTEM TO SUPPORT DISTANCE LEARNING IN JUNIOR HIGH SCHOOLS Asrul Sani
INTERNATIONAL JOURNAL OF SOCIETY REVIEWS Vol. 1 No. 9 (2024): INTERNATIONAL JOURNAL OF SOCIETY REVIEWS (INJOSER)
Publisher : Adisam Publisher

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

Abstract

The COVID-19 pandemic has forced education systems around the world to adapt to unexpected conditions, including the implementation of distance learning (PJJ). Junior High Schools face special challenges in this transition due to limited infrastructure and resources. This research aims to develop an optimized e- learning system to support distance learning in junior high schools, with a focus on affordability, ease of use, and pedagogical effectiveness. This system development method involves needs analysis, design, implementation, and evaluation of the system with the active participation of teachers, students, and parents. The research results show that the e-learning system developed can increase student engagement, facilitate access to diverse and interactive learning materials, and support teachers in managing virtual classes. System evaluation was carried out through satisfaction surveys, analysis of student learning performance, and user feedback, which showed significant improvements in the effectiveness of distance learning. This research concludes that the development of e-learning systems tailored to the specific needs of junior high schools can be an effective solution to overcome the challenges of distance learning, while providing opportunities for pedagogical innovation in future education.
MAKING EDUCATIONAL VIDEOS USING ANIMATION TECHNIQUES FOR ELEMENTARY SCHOOL STUDENTS Asrul Sani
International Journal of Teaching and Learning Vol. 1 No. 10 (2024): International Journal of Teaching and Learning (INJOTEL)
Publisher : Adisam Publisher

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

Abstract

The use of technology in education has now become an effective method for increasing students' interest and understanding of subject matter. This research aims to develop learning materials through making educational videos using animation techniques, which are designed specifically for students. The animation method was chosen because of its unique ability to present abstract concepts more easily understood and interesting for students. This research includes the design process, content development, animation, and evaluating the effectiveness of the educational videos that have been created. The approach used in this research is development (Research and Development) which involves students as respondents to determine their level of understanding and interest in the material presented through animated educational videos. The educational videos developed cover various learning topics that are adapted to the applicable curriculum, with the hope that they can become an interesting additional learning resource and increase students' understanding. The research results show that educational videos using animation techniques are able to increase students' interest in learning and make it easier for them to understand lesson concepts that were previously considered difficult. Evaluations carried out through questionnaires and interviews showed positive responses from students towards the use of this learning media. Thus, it is hoped that making animation-based educational videos can be an effective alternative learning method and can be applied in various educational contexts.
DEVELOPMENT OF INFORMATION TECHNOLOGY FOR MANAGING MICRO, SMALL AND MEDIUM ENTERPRISES (MSMEs) Asrul Sani
INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE Vol. 1 No. 4 (2024): INTERNATIONAL JOURNAL OF ECONOMIC LITERATURE (INJOLE)
Publisher : Adisam Publisher

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

Abstract

The digitalization era has brought significant changes in the way of doing business, including for Micro, Small and Medium Enterprises (MSMEs). This research aims to examine the use of technology in increasing the productivity of MSMEs. Using qualitative and quantitative research methods, this study analyzes various technologies that can be adopted by MSMEs, such as e-commerce, social media, management information systems, mobile applications. Data was collected through surveys, interviews and case studies on a number of MSMEs that have successfully implemented technology in business operations. The research results show that technology adoption significantly increases operational efficiency, expands market reach, and improves the quality of MSME customer service. E- commerce and social media technologies have proven effective in increasing sales and brand awareness, while management information systems and mobile applications improve internal business processes and customer service. However, there are challenges, such as limited access to technology resources, lack of expertise in technology management, and data security issues. This research recommends building more inclusive digital infrastructure, technology training for MSME owners, and developing policies that support the MSME digital ecosystem. In conclusion, the use of technology is a critical strategy that MSMEs must implement to increase productivity and competitiveness in the global market.
Deteksi dan Klasifikasi Sampah Real-Time Berbasis Yolov11 untuk Manajemen Sampah Cerdas Sari Ningsih; Panca Dewi Pamungkasari; Agus Setiawan; Ratih Titi Komalasari; Endah Tri Esti Handayani; Djarot Hindarto; Asrul Sani; Erina Rahmazani; Muhammad Aldinugroho Abdullah; Ferdiansycah Ferdiansycah
Masyarakat Mandiri : Jurnal Pengabdian dan Pembangunan Lokal Vol. 3 No. 4 (2026): Oktober: Masyarakat Mandiri : Jurnal Pengabdian dan Pembangunan Lokal
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/masyarakatmandiri.v3i4.3607

Abstract

This community service activity aims to develop an automated waste sorting system based on Deep Learning using the YOLOv11 architecture for real-time object detection. The system is designed to identify six categories of waste, namely cardboard, glass, metal, paper, plastic, and trash through direct camera input. The dataset used was obtained from Kaggle, consisting of 2,467 images which were subsequently expanded to 10,108 images through data augmentation techniques to improve model generalization and reduce the risk of overfitting. The training process employed an 80% training set and a 20% validation set, with optimization using the Stochastic Gradient Descent (SGD) algorithm, momentum, and cosine learning rate scheduling over 100 epochs. Model performance was evaluated using the standard object detection metric, Mean Average Precision (mAP). The results show that the model achieved an mAP@0.5 of 95.8% and an mAP@0.5:0.95 of 82.4%, with an average inference speed of 45 frames per second (FPS) on standard hardware. These findings indicate that the system is capable of performing waste classification quickly, accurately, and efficiently, supporting the implementation of smart waste management in urban environments, particularly in collaboration with waste management partners in Depok.
Co-Authors Abrianto, Bagas Dewantoro Achmad Taufiq Andyanto Addarda, Binan Ade Davy Wiranata Adrial Rusyid Adrie Oktavio Agus Budiyantara Agus Setiawan Agusta Pratama Wibawa Ahmad Taufik Andrai, Bagus Rubyanto Esha Andriangsih, Andriangsih Andrianingsih Andrianingsih Anton Hindardjo Arafat, Fadhilah Ardani, Rega Listya Ardiansyah, Alvi Dwi Bernadus Gunawan Sudarsono Budiyantara, Agus Cakranegara, Pandu Adi Daniel Pasaribu David Imanuel, Alvian Diah Fatma Sjoraida Djarot Hindarto Doharma, Rouly Dwi Budi Santoso Dwi Yuniarto Ellina Rienovita Endah Tri Esti Handayani Erina Rahmazani Fajar, Sahid Febrian, Firdan Ferdiansycah Ferdiansycah Firmansyah, Mochamad Frieyadie Guna, Buky Wibawa Karya Heppy Sapulete Husain, T Irwansyah Irwansyah Irwansyah Irwansyah Johan Ferdiyansyah Kusmawan, Hendy Metasari, Rean Miftachul Amri Muhammad Aldinugroho Abdullah Muhammad Lutfi Nawangtyas, Nur Nawaningtyas Pusparini, Nur Nawaningtyas, Nur Nedi Hendri Ninuk Wiliani Ninuk Wiliani Nur Nawaningtyas Nur Nawaningtyas Pusparini Nur Nawaningtyas Pusparini Panca Dewi Pamungkasari Pusparini, Nur Nawaningtyas Ratih Dheviana Puru Hitaningtyas Ratih Titi Komalasari Rembe, Elismayanti Rizaldy Khair Saharja, Komda Santosa, Tomi Apra Sari Ningsih Siti Aisyah Siti Aisyah Sofyan, Mochamad Suhendra Suhendra Supit, Merliani Ivone T. Husain Tomi a Santosa Tomi Apra Santosa Tomi Apra Santosa Venty Sopacua Yohanis Yakubun Yosep Heristyo Endro Buruno Yusmar Ali Yusriana Chusna Fadilah