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All Journal METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi INFOKUM Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian Masyarakat IPTEK International Journal of Social Science, Educational, Economics, Agriculture Research, and Technology (IJSET) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Pengabdian Masyarakat dan Riset Pendidikan
Muhammad Irfan Sarif
Unknown Affiliation
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Languange, Linguistic, Communication & Media Mathematics Other

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Rancang Bangun Sistem Informasi Aset Berbasis Web Menggunakan Metode Waterfall Pada Ditjen Hubla Sumatera Utara Hariyanto, Eko; Edo, Edo; Nasution, Darmeli; Muhammad Irfan Sarif
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.705

Abstract

Penelitian ini bertujuan merancang dan membangun sistem informasi aset berbasis web pada Direktorat Jenderal Perhubungan Laut (Ditjen Hubla) Sumatera Utara untuk mengatasi kelemahan pengelolaan aset yang masih dilakukan secara manual menggunakan buku dan spreadsheet terpisah. Kondisi tersebut menimbulkan risiko kesalahan pencatatan, duplikasi data, keterlambatan pelaporan, serta kesulitan pemantauan kondisi dan mutasi aset secara akurat dan real-time. Solusi yang diusulkan adalah pengembangan sistem informasi manajemen aset berbasis web dengan metode Waterfall melalui tahapan identifikasi masalah, studi pustaka, pengumpulan data, analisis kebutuhan, perancangan menggunakan Data Flow Diagram dan Entity Relationship Diagram, implementasi dengan PHP dan MySQL, serta pengujian menggunakan metode blackbox. Sistem yang dihasilkan menyediakan fitur autentikasi pengguna, pengelompokan aset, pendataan aset, pengadaan, mutasi, dan penyajian laporan terpusat bagi admin dan pimpinan instansi. Hasil pengujian menunjukkan seluruh fungsi utama berjalan sesuai kebutuhan pengguna, termasuk validasi input, keterkaitan antar data, dan kemudahan akses laporan. Implementasi sistem ini mampu meningkatkan efisiensi operasional, akurasi data, dan transparansi pengelolaan aset, sekaligus menjadi dasar pengembangan lanjutan, seperti integrasi barcode/QR code dan analitik aset untuk mendukung pengambilan keputusan strategis organisasi.
Model EPAM-2025 Untuk Analisis Keselarasan Opini Publik dan Kebijakan Literasi Digital Wiyono, Tri; Muhammad Irfan Sarif; Andika Dwi Aryo H; Ahmad Syaukani; Muhammad Zikri Ramadhan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 2 (2025): Desember 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i2.9367

Abstract

Transformasi digital yang berlangsung cepat menuntut peningkatan literasi digital yang lebih komprehensif. Namun, berbagai indikator nasional menunjukkan penurunan pada aspek etika digital, keamanan siber, dan kemampuan berpikir kritis. Penelitian ini bertujuan menganalisis kesenjangan antara opini publik dan kebijakan literasi digital nasional melalui pendekatan komputasional berbasis Natural Language Processing (NLP). Untuk tujuan tersebut, dikembangkan model hibrida orisinal EPAM-2025 (Entity–Policy Alignment Model) sebagai kerangka pengukuran keselarasan kebijakan. Dataset penelitian terdiri atas 2.165 tweet berbahasa Indonesia yang diperoleh secara etis melalui API platform X (Twitter). Prosedur analisis mencakup pembersihan data, tokenisasi, ekstraksi entitas menggunakan Named Entity Recognition (NER), analisis sentimen, serta pengukuran kesamaan semantik berbasis TF-IDF cosine similarity. Skor keselarasan dihitung menggunakan formula Sa = αSm + βSs(norm). Hasil penelitian menunjukkan dominasi opini netral (92,24%) serta tingkat kesamaan semantik yang sangat rendah (<0,1), menandakan bahwa terminologi kebijakan digital seperti digital safety dan digital ethics belum terinternalisasi dalam wacana publik. Model EPAM-2025 juga menunjukkan performa evaluatif yang stabil dengan klasifikasi tepat pada dua kategori aktif (“Tidak Selaras” dan “Perlu Analisis Lanjut”). Penelitian ini memberikan kontribusi metodologis melalui pengembangan pendekatan kuantitatif yang objektif untuk mengukur keselarasan opini publik terhadap kebijakan, serta membuka peluang pemanfaatan analitik opini publik dalam mendukung perumusan kebijakan nasional berbasis bukti.
MEDAN SMART TOURISM INFORMATION SYSTEM BASED ON IOT AND ACO FOR ROUTE RECOMMENDATIONS AND VISITOR MANAGEMENT Septia Harliansyah; Muhammad Irfan Sarif; Zulham Sitorus; Eko Wahyudi
International Journal of Social Science, Educational, Economics, Agriculture Research and Technology (IJSET) Vol. 4 No. 12 (2025): NOVEMBER
Publisher : RADJA PUBLIKA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54443/ijset.v4i12.1553

Abstract

The abstract serves as a concise summary of your research paper, highlighting the essential components that provide readers with an overview of your work. It should effectively capture the key issues addressed, the primary objectives of the study, the methods utilized, and the significant results achieved. This summary must be written in a single cohesive paragraph, limited to a maximum of 200 words. Ensure to follow the formatting specifications: use Times New Roman font, size 11, with single spacing, and present it in italics. The goal is to engage the reader while successfully conveying the importance and impact of your findings.
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 Sentimen Masyarakat terhadap Isu Korupsi Dana Bencana di Indonesia Menggunakan Metode Bidirectional Long Short-Term Memory (Bi-LSTM) Prabowo, Toni; Muhammad Irfan Sarif; Sebayang, Aradi; Ferdillah, Tengku Didi; Muhammad Azuan
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.756

Abstract

Corruption of disaster relief funds and social assistance is a critical issue that undermines social justice and public trust in government integrity in Indonesia. This phenomenon has triggered a massive wave of opinions on social media, necessitating deep computational analysis to objectively understand public perception dynamics. This study aims to implement and evaluate the performance of a Deep Learning algorithm, specifically Bidirectional Long Short-Term Memory (Bi-LSTM), in classifying public sentiment related to the issue of disaster fund corruption. The dataset comprises 1,358 textual data points categorized into negative, neutral, and positive sentiments, with a significant dominance of the negative class (926 entries). The proposed model architecture integrates a 300-dimensional embedding layer, a Bi-LSTM layer to capture bidirectional context, and a combination of Global Max Pooling and Global Average Pooling for optimal feature extraction. The experimental results demonstrate that the model achieved an accuracy of 0.75, with a Weighted F1-score of 0.76 and a Macro F1-score of 0.65. Confusion Matrix analysis reveals that the model is highly effective in identifying negative sentiments but faces challenges in distinguishing minority classes due to data imbalance and linguistic ambiguities such as sarcasm. These findings provide deep insights for policymakers regarding public sentiment and demonstrate both the potential and limitations of the Bi-LSTM method in processing informal and sarcastic Indonesian text within the context of political and corruption discourse. Keywords: Sentiment Analysis, Bi-LSTM, Disaster Fund Corruption, Deep Learning, Natural Language Processing
Pemberdayaan Digital Untuk Mendukung UMKM Pertanian dalam Pemasaran Hasil Panen di Pedesaan Menggunakan Apliksi “Jangkrik iConnect” Muhammad Irfan Sarif; Ramlan Marbun; Syahputri, Maulisa; 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.
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.
KUTA-TRANSPARAN: Model Sistem Informasi Terintegrasi untuk Pencegahan Pungutan Liar pada Desa Wisata Berbasis Fraud Risk Management dan Akuntansi Digital Nurahmadi, Fauzan; Muhammad Irfan Sarif; Pauzi Ibrahim Nainggolan; T. Henny Febriana Harumy
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 10 No. 1 (2026): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol10No1.pp168-177

Abstract

Illegal levies (pungli) in tourism village public services threaten transparency and accountability of village governance. This study develops the KUTA-TRANSPARAN Framework as an integrated information system model for preventing pungli, with a case study in Kutagugung Village, Karo Regency, North Sumatra. The research adopts Participatory Action Research (PAR) integrated with Design Science Research (DSR), the GAO Fraud Risk Management Framework, and the Technology Acceptance Model (TAM), with hypothesis testing using Structural Equation Modeling–Partial Least Squares (SEM-PLS) on a sample of 120 respondents (purposive sampling). The framework encompasses three dimensions: (1) technology, based on mobile applications and blockchain; (2) business processes, covering prevention (Electronic Village Services/EVS, Electronic Tourism Retribution/ETR, Digital BUMDes Accounting/DBA), detection (real-time monitoring, whistleblowing), and response (auto-sanctions); and (3) institutional, covering policy and transparency culture. The ETR module achieved 81.3% transaction time efficiency (reduced from 15–30 minutes to 2.8 minutes), while the EVS module achieved 70% administrative processing efficiency (reduced from 3–7 days to 4.2 hours). Pilot results show a 23% increase in village retribution revenue (from IDR 12.3 million to IDR 15.1 million per month) attributable to the elimination of revenue leakage. All five hypotheses were supported, with the integration of management information systems and digital accounting demonstrating the strongest effect on financial accountability (β=0.79; p<0.001). The theoretical contribution lies in an interdisciplinary framework integrating informatics management and accounting computerization for fraud prevention in tourism villages. Practically, the blueprint supports SDGs Goal 16 and Goal 17.
Co-Authors Afif Asri Ahmad Syaukani Aldy Agustian Andika Dwi Aryo H Darmeli Nasution Dhimas Prayogi Dwika Ardya Edo, Edo Eko Hariyanto Eko Wahyudi Fauzan Nurahmadi Ferdillah, Tengku Didi Jelly Rolleys Sitompul Larasati Rince Pratita Ritonga Muhammad Azuan Muhammad Zikri Ramadhan Pauzi Ibrahim Nainggolan Perianus lombu Prabowo, Toni Ramlan Marbun Robet H Silaban Sebayang, Aradi Septia Harliansyah Sitorus, Zulham Syahputri, Maulisa T. Henny Febriana Harumy Wiyono, Tri