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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Tecnoscienza INFOKUM Journal Zetroem Instal : Jurnal Komputer Jurnal Pengabdian Masyarakat IPTEK International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Minfo Polgan (JMP) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Sistim Informasi dan Teknologi Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Jurnal Pengabdian Masyarakat dan Riset Pendidikan Jurnal Pengabdian dan Inovasi Masyarakat Prosiding Seminar Nasional Ilmu Komputer, Sosial Sains, Teknik Dan Multi-disiplin Ilmu Journal of Data Science and Informatics Engineering
Muhammad Irfan Sarif
Universitas Pembangunan Panca Budi
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Social Sciences Other

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Digital Technology in Higher Education: Integrating Learning Analytics and Adaptive E-Learning to Improve the Quality of Student Learning Robet H Silaban; Muhammad Irfan Sarif; Perianus Lombu; Aldy Agustian; Larasati Rince Pratita Ritonga
INFOKUM Vol. 14 No. 02 (2026): Infokum, March-April 2026
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v14i02.3081

Abstract

This study aims to analyze the influence of digital technology through the integration of learning analytics and adaptive e-learning on the quality of student learning in higher education. The study used a quantitative approach with an explanatory research type. Data were collected through a Likert-scale questionnaire to 120 students who use digital learning systems. The data analysis technique used multiple linear regression with the help of statistical software. The results of the study showed that learning analytics and adaptive e-learning partially and simultaneously had a positive and significant effect on the quality of student learning, with a significance value of 0.000 < 0.05. The coefficient of determination (R²) value of 0.62 indicates that 62% of the quality of learning is influenced by these two variables. This technology integration has been proven to increase student engagement, effectiveness, and learning outcomes. Thus, the application of learning analytics and adaptive e-learning can be an effective strategy in improving the quality of learning in higher education.
STRATEGI MARKETING DAN PEMBUATAN KONTEN MEDIA SOSIAL UNTUK MENINGKATKAN PENDAPATAN DI POKDAKAN TANI MAKMUR Feby Wulandari Sembiring; Muhammad Irfan Sarif; Arip Muhridan; Irfan Abadi Saragih; Mhd Ihsan Abidi
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol. 5 No. 2 (2025): Desember 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i2.4945

Abstract

Abstract: The Makmur POKDAKAN Farmers Group is a business community that focuses on freshwater fish cultivation, especially catfish. So far, the sale of catfish has been the main source of income for most members of the farmer group. The sales method used is also still conventional, which can result in suboptimal income for members of the Makmur Farmers Group. So they are aware of the need for marketing strategies and the use of social media in developing their business. However, the problem faced by partners is that they have minimal information regarding marketing strategies and are confused about starting to create content, edit videos and manage social media to generate income. For this reason, this community service activity is important to be carried out for partners so that the PkM Team can share knowledge related to modern marketing strategies with digital technology and creative video making techniques to have a wide audience reach. The service method carried out by the PkM Team is in the form of training to partner members in marketing strategies through YouTube social media. The results of this service activity are that partner members can implement content creation practices and digital marketing strategies, this activity was also welcomed and given a positive response from members of the prosperous Pokdakan farmer group and they hope that this service activity will be carried out again in the future.      Keywords: catfish_cultivation; prosperous_farmer_groups; content_creation; income; marketing_strategy.  Abstrak: Kelompok Tani Makmur POKDAKAN merupakan komunitas pelaku usaha yang berfokus pada budidaya ikan air tawar khususnya ikan lele selama ini hasil penjualan ikan lele menjadi sumber utama pendapatan dari sebagian besar anggota kelompok tani metode penjualan yang digunakan juga masih bersifat konvensional dimana hal ini dapat berakibat pada tidak optimalnya pendapatan yang diperoleh anggota kelompok Tani Makmur, sehingga mereka sadar kan perlunya strategi marketing dan penggunaan media sosial dalam mengembangkan usaha mereka. Akan tetapi permasalahan yang dihadapi oleh mitra yakni mereka minim informasi terkait strategi marketing dan kebingungan dalam memulai membuat konten, editing video dan pengelolaan sosial media agar menghasilkan pendapatan. Untuk itu kegiatan pengabdian kepada masyarakat ini penting untuk dilakukan kepada mitra agar Tim PkM dapat sharing ilmu terkait strategi marketing modern dengan teknologi digital dan teknik kreatif pembuatan video hingga memiliki jangkauan audience yang luas. Metode pengabdian yang dilakukan oleh Tim PkM ini berupa pelatihan kepada anggota mitra dalam strategi marketing melalui media sosial youtube. Hasil dari kegiatan pengabdian ini yakni anggota mitra dapat mengimplementasikan praktik pembuatan konten dan strategi digital marketing, kegiatan ini juga disambut baik dan diberikan respon positif dari anggota kelompok tani makmur pokdakan dan mereka berharap kegiatan pengabdian ini dilaksanakan kembali untuk kedepannya. Kata kunci: budidaya_ikan_lele; kelompok_tani_makmur; pembuatan_konten; pendapatan; strategi_marketing
DIGITALISASI BISNIS RENGGINANG MELALUI PENERAPAN WEBSITE E-COMMERCE UNTUK PEMBERDAYAAN UMKM DI BATU BARA Rudi Hermawan; Muhammad Irfan Sarif; Ade Guna Suteja; Ramli S. Siburian
Jurnal Pemberdayaan Sosial dan Teknologi Masyarakat Vol. 5 No. 2 (2025): Desember 2025
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jpstm.v5i2.5281

Abstract

Abstract: Marketing digitalization poses a primary challenge for Micro, Small, and Medium Enterprises (UMKM) in rural areas with limited technological literacy. The partner for this community service is Rengginang Bg Ar, a home industry in Batu Bara Regency experiencing revenue stagnation due to conventional marketing patterns and minimal digital knowledge for market expansion. This activity aims to empower the partner through intensive mentoring on business transformation and the application of appropriate technology in the form of an E-Commerce website. The implementation method consists of three chronological stages: socialization of digital urgency, installation of a web-based sales information system, and training on system operation and online order management. The results indicate an increase in the partner's understanding of digital marketing to 90%, compared to the initial condition of only 20%. The partner is now able to manage the online store independently, resulting in the opening of new market access outside the sub-district area and a significant increase in product sales potential. The implementation of a digital market platform proved to be an effective solution for resolving limited market reach and improving the partner's business competence.            Keywords: digitalization; e-commerce; marketing; UMKM; rengginang  Abstrak: Digitalisasi pemasaran menjadi tantangan utama bagi Usaha Mikro, Kecil, dan Menengah (UMKM) pedesaan yang memiliki keterbatasan literasi teknologi. Mitra pengabdian ini adalah Rengginang Bg Ar, industri rumahan di Kabupaten Batu Bara yang mengalami stagnasi omzet akibat pola pemasaran konvensional dan minimnya pengetahuan digital untuk perluasan pasar. Kegiatan ini bertujuan memberdayakan mitra melalui pendampingan intensif transformasi bisnis dan penerapan teknologi tepat guna berupa website E-Commerce. Metode pelaksanaan terdiri dari tiga tahapan kronologis: sosialisasi urgensi digital, instalasi sistem informasi penjualan berbasis web, serta pelatihan operasional sistem dan manajemen pesanan daring. Hasil kegiatan menunjukkan peningkatan pemahaman mitra terkait pemasaran digital sebesar 90% dari kondisi awal yang hanya 20%. Mitra kini mampu mengelola toko daring secara mandiri, yang berdampak pada terbukanya akses pasar baru di luar wilayah kecamatan serta peningkatan potensi penjualan produk secara signifikan. Implementasi platform pasar digital terbukti menjadi solusi efektif untuk memecahkan masalah keterbatasan jangkauan pasar dan meningkatkan kompetensi bisnis mitra. Kata kunci: digitalisasi; e-commerce; pemasaran; UMKM; rengginang 
Sosialisasi Etika Berkomunikasi Digital sebagai Upaya Pencegahan Bullying di Lingkungan SMK Negeri 1 Stabat: Penelitian Dwika Ardya; Muhammad Irfan Sarif; Afif Asri; Dhimas Prayogi
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4550

Abstract

The rapid development of digital technology among students brings both positive impacts and challenges, one of which is the increasing risk of digital bullying in school environments due to limited understanding of digital communication ethics. This Community Service Program (PKM) aims to improve students’ understanding of digital communication ethics as an effort to prevent bullying at SMKN 1 Stabat. The methods employed include socialization activities, interactive discussions, and the presentation of case studies related to communication behavior in digital spaces. Evaluation was conducted by comparing students’ levels of understanding before and after the program. The results indicate significant improvements across all assessed aspects. Understanding of digital communication ethics increased from 40% to 85%, knowledge of digital bullying rose from 45% to 90%, and students’ awareness of the impacts of bullying improved from 60% to 88%. These percentage increases demonstrate that the socialization of digital communication ethics is effective in enhancing students’ digital literacy and contributes to the creation of a safe and bullying-free school environment. This program is expected to serve as a sustainable preventive education model within educational institutions.
Analisis Sistemik Kebangkrutan Dapur Mami Medan dan Perumusan Kerangka Resiliensi Digital : Penelitian Yoga Fitriana; Muhammad Irfan Sarif; Yohannes France Limbong; Lamsihar Banjarnahor
Jurnal Pengabdian Masyarakat dan Riset Pendidikan Vol. 4 No. 3 (2026): Jurnal Pengabdian Masyarakat dan Riset Pendidikan Volume 4 Nomor 3 (Januari 202
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jerkin.v4i3.4996

Abstract

This study uses a qualitative approach to in-depth examine the failure of the culinary MSME "Dapur Mami" in Medan City, which in 2021 demonstrated superior performance through product exports to international markets. The study aims to identify the main factors causing the bankruptcy and formulate an information systems (IS)-based resilience framework for risk mitigation. Data were collected through in-depth interviews and digital artifact review, then analyzed using thematic analysis. The results identified four main causes of failure: unstable export market dominance, weak production and supply chain management, suboptimal digital marketing and customer relationship management (CRM), and the absence of an information system supporting financial analysis and decision-making. This bankruptcy reflects a systemic failure resulting from premature expansion without operational readiness and digital infrastructure. As a contribution, this study develops a Digital Resilience Framework for Culinary MSMEs (KRD-UK) based on digital transformation and risk management, which encompasses strengthening the domestic market, automation-based market diversification, and data-driven business performance optimization, to increase the resilience of culinary MSMEs in facing global market dynamics.
Pemberdayaan Digital Untuk Mendukung UMKM Pertanian dalam Pemasaran Hasil Panen di Pedesaan Menggunakan Apliksi “Jangkrik iConnect” Muhammad Irfan Sarif; Ramlan Marbun; Maulisa Syahputri; Jelly Rolleys Sitompul
Jurnal Pengabdian Masyarakat IPTEK Vol. 6 No. 1 (2026): Edisi Januari 2026
Publisher : STMIK Triguna Dharma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53513/abdi.v6i1.12459

Abstract

Usaha Mikro, Kecil, dan Menengah (UMKM) sektor pertanian memiliki peran strategis dalam mendukung ketahanan pangan dan perekonomian nasional, khususnya di wilayah perdesaan. Namun demikian, masih banyak UMKM pertanian yang menghadapi kendala serius dalam pemanfaatan teknologi digital akibat keterbatasan infrastruktur. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan pendekatan digital sebagai solusi pendukung pengembangan UMKM pertanian di daerah yang terbatas dari segi penjualan, biaya promosi yang tinggi, dan dukungan teknis yang minim. Hambatan ini secara langsung mempengaruhi produktivitas dan potensi pertumbuhan bisnis. Pengabdian ini bertujuan untuk merancang sebuah solusi inovatif bernama "Jangkrik i-connect," yaitu sebuah platform digital yang menyediakan promosi, penjualan, monitoring, serta model bisnis yang fleksibel. Metode ini digunakan dapat menjadi sala satu solusi bagi UMKM untuk bertumbuh dan meningkatkan efisiensi operasional melalui adopsi teknologi digital.
Perancangan Sistem Aplikasi Kelulusan Sekolah pada SMA Negeri 2 Binjai Berbasis Web Eka Putra; Rizky Vita Losi; Muhammad Irfan Sarif; Sutan Putra Nauli Harahap
JURNAL TECNOSCIENZA Vol. 8 No. 2 (2024): JURNAL TECNOSCIENZA
Publisher : JURNAL TECNOSCIENZA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51158/tecnoscienza.v8i2.1100

Abstract

Pada SMA Negeri 2 Binjai proses penyimpanan data surat keterangan lulus sekolah masih menggunakan cara manual. Penyimpanan data seperti ini dapat menyebabkan data tidak aman. Maka dari itu peneliti akan membuat suatu sistem Iinformasi surat keterangan lulus sekolah dengan komputerisasi yang cukup memadai berbasis web yang mana php sebagai bahasa pemograman dan mysql xampp sebagai databasenya. Penelitian ini bertujuan untuk membuat sistem informasi surat keterangan lulus sekolah agar dapat disimpan secara aman dan diakses secara cepat. Penelitian ini dilakukan Pada SMA Negeri 2 Binjai. Penelitian ini menggunakan metode kualitatif dengan teknik pengumpulan data secara observasi dan secara studi literatur. Dari masalah yang sudah didapat sehingga peniliti dapat sebuah solusi dari penanganan nya dengan cara menerapkan aplikasi berbasis web untuk surat keterangan lulus sekolah. Dapat disimpulkan bahwa aplikasi yang dibuat oleh peneliti dapat membantu pihak sekolah SMA Negeri 2 Binjai memproses data surat keterangan lulus sekolah secara cepat dan aman.
Transaction Fraud Detection in Savings and Loan Cooperatives Using Xgboost with Shap Explanations (Shapley Additive Explanations) Indra Marto Silaban; Muhammad Syahputra Novelan; Muhammad Irfan Sarif
Bahasa Indonesia Vol 18 No 06 (2026): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v18i06.535

Abstract

Savings and loan cooperatives play a crucial role in supporting the community's economy. With the motto "From Members, By Members, and For Members," cooperatives focus on developing member funds and providing returns in the form of dividends. However, cooperative operations are not free from the risk of fraud, especially by internal parties (employees or administrators). This study aims to develop a machine learning-based transaction fraud detection model using the Extreme Gradient Boosting (XGBoost) algorithm and to increase model transparency through an Explainable Artificial Intelligence (XAI) approach with the SHAP (SHapley Additive exPlanations) method. This study uses user activity log data and financial transactions that can be described as operator/employee behavior in the savings and loan cooperative system. The model will be trained to classify whether transactions are fraudulent or non-fraudulent. The results will then be evaluated using accuracy, precision, recall, F1-score, and AUC metrics. The results show that the XGBoost model has good performance with an accuracy value of 0.81 and an AUC of 0.912. SHAP analysis shows that features such as transaction amount, transaction frequency, transaction time, and changes in user and member data are key factors in fraud detection. This study demonstrates that the integration of XGBoost and SHAP can improve fraud detection accuracy and provide transparency in model decision-making. Therefore, the results of this study can support a more effective supervisory system for savings and loan cooperative financial institutions.
Optimization of Indosat's Fiber to the Home (FTTH) Network for Customer Satisfaction Using the Random Method Forest and Naïve Bayes Jelly Rolleys Sitompul; Muhammad Iqbal; Muhammad Irfan Sarif
Bahasa Indonesia Vol 18 No 06 (2026): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v18i06.536

Abstract

Currently, customer satisfaction is a crucial indicator in evaluating the quality of Fiber to the Home (FTTH) services. This study aims to analyze customer satisfaction with Indosat HiFi services and compare the performance of the Random Forest and Gaussian Naive Bayes algorithms in predicting customer satisfaction levels. The research dataset consists of Quality of Service (QoS) parameters and customer operational data, including latency, throughput, packet loss, downtime, response time, and complaint count. The data was processed using a Machine Learning approach through preprocessing, model training, and performance evaluation stages. The research results showed that Random Forest produced the best performance with 98.8% accuracy, 100% recall, 99.4% F1-score, and 95.9% CV Mean. Meanwhile, Gaussian Naïve Bayes obtained 97.6% accuracy, 98.8% F1-score and 95.2% CV Mean. The research findings show that service quality and user experience factors influence the level of customer satisfaction. The resulting model has great potential to support data-based decision making to improve the quality of FTTH services. The research data was processed and then tested with a ratio of 80:20. Model evaluation was carried out using accuracy, recall, F1-score and cross validation.
Application of Convolutional Neural Network (CNN) in Facial Expression Detection for Classifying the Level of Learning Concentration of Senior High School Students (SMA) Ramlan Marbun; Muhammad Irfan Sarif; Muhammad Syahputra Novelan
Bahasa Indonesia Vol 18 No 06 (2026): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v18i06.542

Abstract

Student learning concentration is one of the key factors influencing academic achievement and the effectiveness of the learning process. However, monitoring students' concentration levels manually is often subjective and challenging, especially in classrooms with a large number of students. This study aims to implement a Convolutional Neural Network (CNN) model for facial expression detection to classify the learning concentration levels of Senior High School (SMA) students. The research employs a quantitative experimental approach using facial image datasets collected during classroom learning activities. The dataset undergoes several preprocessing stages, including face detection, cropping, image resizing, and pixel normalization before being used for model training. The CNN architecture is designed to automatically extract facial features and classify students' concentration levels into three categories: high, medium, and low concentration. Model performance is evaluated using accuracy, precision, recall, and F1-score metrics. The experimental results indicate that the CNN model is capable of recognizing facial expression patterns related to learning concentration effectively and achieving high classification performance. Furthermore, the developed system provides a more objective and efficient approach for monitoring student concentration compared to conventional observation methods. Therefore, the implementation of CNN-based facial expression recognition has significant potential to support intelligent educational systems and improve learning evaluation processes in school environments.  
Co-Authors , Eka Putra Abdul Chaidir Harahap Abdul Razaq Ade Guna Suteja Ade Iskandar Afif Asri Ahmad Dzaky Rahmatullah Ahmad Helmy Aldy Agustian Amin, Muhammad Aminuddin Indra Permana Aradi Sebayang Arip Muhridan Ayu Husniyyah Chairul Rizal Darmeli Nasution Dedy Rahman Harahap Deni Apriadi Dhimas Prayogi Dicky Apriandi Dwika Ardya Edo Edo Eisyaniah Desvazulinda Eko Hariyanto Eko Wahyudi Fachrurazy Fajar Aulia Lubis Fauzan Nurahmadi Febri Yalda Sulistia Feby Wulandari Sembiring Hanna Willa Dhany Heri Kurniawan Indra Marto Silaban Irfan Abadi Saragih Jelly Rolleys Sitompul Josua M.H Simaremare Karina Nurfebia Khairul Lamsihar Banjarnahor Larasati Rince Pratita Ritonga Lewika Tampubolon Lola Astri Nadita M Khori Pratama Maulisa Syahputri Mhd Ihsan Abidi Muhammad Azuan Muhammad Fuad Hafiz Muhammad Iqbal Muhammad Putra Novelan Muhammad Syahputra Novelan Munadi Munadi Nainggolan, Pauzi Ibrahim Nurbeti Sinulingga Nuzul Aini Ramadhani Perianus Lombu Rahayu Mayang Sari Ramlan Marbun Ramli S. Siburian Rian Farta Wijaya Rido Favorit Saronitehe Waruwu Ristra Sandra Ritonga Rizky Putro Nugroho Dwi Cahyo Rizky Vita Losi Robet H Silaban Rudi Hermawan Salwa Nur JB Samuel Sampe Tuah Purba Septia Harliansyah Sitorus, Zulham Sukrianto Sukrianto Supiyandi Supiyandi Sutan Putra Nauli Harahap Syaiful Rahman Lubis T. Henny Febriana Harumy Tengku Didi Ferdillah Toni Prabowo Yoga Fitriana Yohannes France Limbong Zulfahmi Syahputra