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All Journal Journal of Electrical Engineering and Computer (JEECOM) International Journal of Management Science and Information Technology (IJMSIT) JURNAL PENGABDIAN PENDIDIKAN MASYARAKAT (JPPM) Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Jurnal Informatika Medis (J-INFORMED)
Ahmad Risman
Universitas Muhammadiyah Muara Bungo
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Nursing Public Health Social Sciences Veterinary Other

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Aplikasi Pengenalan Kosa Kata Bahasa Dan Pemetaan Di Kota Sungai Penuh Riko Muhammmad Suri; Hermanto Hermanto; Ahmad Risman; Dafit Afianto
Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Vol. 1 No. 1 (2023): JURNAL PENGEMBANGAN TEKNOLOGI INFORMASI DAN KOMUNIKASI (JUPTIK)
Publisher : Prodi Teknologi Informasi Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/juptik.v1i1.1210

Abstract

Penerapan apliksi berbasis Android untuk pengenalan kosa kata dan pemetaan di kota Sungai Penuh. Kosa kata adalah perbendaharaan kata yang dimiliki seseorang dalam prosesKata Kunci: Kosa Kata, Sistem Informasi Geografis, MapInfo, Eclipse,Android, berbahasa, baik lisan maupun tulisan. Dalam proses berbahasa, terdapat kosa kata yang sering digunakan oleh seseorang dalam kegiatan berbahasa sehari-hari (kosa kata aktif) dan kosa kata yang jarang atau tidak pernah digunakan seseorang dalam berkomunikasi (kosa kata pasif). Sistem informasi geografis (SIG) adalah sebuah sistem berbasis komputer yang dapat digunakan untuk mencari lokasi di daerah kota sungai penuh. Harapannya dengan sistem ini akan memberi informasi mengenai kosa kata dan pemetaan di daerah kota sungai penuh ke masyarakt luas.Untuk membangun sistem ini terdiri dari beberapa tahap. Pertama pengumpulan data kemudian dilanjutkan dengan perancangan antar muka, pembuatan program, dan yang terakhir adalah implementasi dan pengujian. Dalam membangun sistem ini beberapa perangkat lunak digunakan seperti MapInfo Professional untuk pembuatan peta dan eclipse untuk merancang aplikasi android..
Pengolahan Data Penjualan SparePart Mobil Menggunakan Metode Clustering Dengan Algoritma K-Means Riko Muhammmad Suri; Risti Afriyani; Ahmad Risman
Jurnal Pengembangan Teknologi Informasi dan Komunikasi (JUPTIK) Vol. 1 No. 2 (2023): JURNAL PENGEMBANGAN TEKNOLOGI INFORMASI DAN KOMUNIKASI (JUPTIK)
Publisher : Prodi Teknologi Informasi Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/juptik.v1i2.1667

Abstract

Laporan ini menjelaskan tentang aplikasi perangkat lunak Weka pada data mining. Tanagra adalah software data mining yang dapat digunakan untuk mengakses beberapa metode data mining yang ada. Data dibangun menggunakan excel dengan jenis teks data. Aplikasi ini menggunakan dataset input. Dalam melaksanakan pengujian algoritma ini data yang dipakai adalah data barang di Interkom Penjualan Spart Part Mobil Dalam penerapan ini, digunakan penerapan clustering dengan menggunakana algoritma K- means.
Purchase Intention on Instagram: The Roles of Digital Pricing Strategy, Social Media Engagement, and Perceived Value Syahdan Muhada Assyaf; Ahmad Risman; Rita Zunarti
International Journal of Management Science and Information Technology Vol. 6 No. 1 (2026): January - June 2026
Publisher : Lembaga Komunitas Informasi Teknologi Aceh (KITA), Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/ijmsit.v6i1.7255

Abstract

The widespread growth of social media has fundamentally reshaped how consumers make purchasing decisions and opened new avenues for businesses to shape buying behavior through digitally-driven marketing approaches. This study investigates how Digital Pricing Strategy, Social Media Engagement, and Perceived Value affect Purchase Intention among Health Administration students who use Instagram as a marketing platform. An explanatory quantitative approach was adopted using survey-based data collection. Structured questionnaires were distributed to 137 students selected through purposive sampling. The data were subsequently analyzed using PLS-SEM with the aid of SmartPLS 4 software. Findings reveal that Digital Pricing Strategy positively and significantly predicts Purchase Intention (β = 0.287, p < 0.001). Social Media Engagement emerged as the strongest predictor among the variables examined (β = 0.409, p < 0.001). Perceived Value, however, failed to reach statistical significance (β = 0.194, p = 0.058), suggesting that students' intention to buy on Instagram tends to be shaped more by social interaction dynamics, engagement features, and exposure to promotions than by rational assessments of product worth. The structural model accounted for 27.4% of the variance in Purchase Intention (R² = 0.274), indicating that the variables under study contribute meaningfully, though a considerable portion of unexplained variance points to the influence of factors beyond the scope of this model. These results underline the strategic value of fostering interactive engagement and implementing well-designed digital pricing approaches to drive purchase intention on social media. This study enriches the existing body of knowledge on digital marketing and consumer behavior while offering actionable guidance for businesses aiming to strengthen their Instagram marketing performance through deeper consumer engagement and more competitive pricing mechanisms.
SMART-RME AI: SISTEM REKAM MEDIS ELEKTRONIK CERDAS BERBASIS ARTIFICIAL INTELLIGENCE UNTUK OPTIMALISASI OPERASIONAL KLINIK MANDIRI Ahmad Risman; Sidik Praptomo; Hendry Wibowo; Dafit Afianto
Jurnal Informatika Medis (J-INFORMED) Vol. 4 No. 1 (2026): Jurnal Informatika Medis (J-INFORMED)
Publisher : LPPM Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/im.v4i1.4392

Abstract

Digital transformation in the healthcare sector, particularly within independent clinics, still faces various obstacles such as unintegrated medical record keeping, inefficient administrative processes, and limitations in clinical and operational data analysis. These conditions lead to poor service quality, potential medical errors, and suboptimal managerial decision-making. Therefore, an Electronic Medical Record (EMR) system is required that is not only digital but also smart and adaptive to the needs of independent clinics. This study aims to develop Smart-RME AI, an artificial intelligence-based smart electronic medical record system capable of integrating medical and operational data in real-time, supporting clinic service efficiency, and assisting clinical and managerial decision-making. This system is expected to improve operational effectiveness, medical recording accuracy, and the quality of healthcare services in independent clinics. The research method used is Design Science Research (DSR), which includes the stages of problem identification, system requirements formulation, design and development of the Smart-RME AI artifact, as well as system evaluation through functional and user feasibility testing. Artificial Intelligence implementation is applied for patient data analysis, visit patterns, and decision support recommendations based on historical data. The targeted outputs of this research include: (1) a Smart-RME AI system prototype ready for implementation in independent clinics, (2) a scientific article publication in a SINTA 3 accredited national journal, and (3) Intellectual Property Rights (IPR) in the form of a copyright for the Smart-RME AI software. This research is expected to make a tangible contribution to the development of health information systems and accelerate the digital transformation of independent clinic services.
SMART HEALTHCARE SYSTEM TERINTEGRASI IOT DAN MACHINE LEARNING UNTUK PENGAMBILAN KEPUTUSAN REAL TIME DALAM PENANGANAN DAMPAK BANJIR DI KABUPATEN BUNGO Sidik Praptomo; Ahmad Risman; Dafit Afianto; Risti Afriyani; Riko Muhammad Suri
Jurnal Informatika Medis (J-INFORMED) Vol. 4 No. 1 (2026): Jurnal Informatika Medis (J-INFORMED)
Publisher : LPPM Universitas Muhammadiyah Muara Bungo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/im.v4i1.4405

Abstract

Banjir merupakan bencana alam tahunan di Kabupaten Bungo yang memberikan dampak luas terhadap aspek sosial, ekonomi, serta kesehatan masyarakat. Masalah utama dalam penanganan dampak banjir adalah tingginya risiko penyakit berbasis lingkungan—seperti diare, penyakit kulit, dan infeksi saluran pernapasan—yang diperparah oleh keterlambatan respons medis akibat sistem pemantauan lapangan yang masih manual dan belum terintegrasi. Penelitian ini bertujuan untuk merancang smart healthcare system berbasis Internet of Things (IoT) dan Machine Learning yang mampu memantau kondisi lingkungan serta kesehatan masyarakat secara real-time saat terjadi banjir. Metode yang diusulkan berfokus pada integrasi sensor IoT untuk pengumpulan data lapangan dan pemanfaatan algoritma Machine Learning untuk mengolah data tersebut menjadi informasi akurat sebagai dasar pengambilan keputusan. Urgensi penelitian ini terletak pada peningkatan efektivitas deteksi dini risiko kesehatan, percepatan respons darurat, serta penyediaan model layanan kesehatan otomatis, adaptif, dan berkelanjutan. Hasil dari penelitian ini diharapkan dapat menjadi solusi inovatif dalam mendukung penanganan dampak kesehatan akibat banjir di Kabupaten Bungo, sekaligus menjadi model yang dapat direplikasi di wilayah rawan banjir lainnya.
EDUKASI PEMANFAATAN DIGITAL MARKETING UNTUK MENGEMBANGKAN DAN PEMASARAN BATIK DESA PURWO BAKTI Vivi Yanti; Risti Afriyani; Ahmad Risman; Yuda Putra; Chairunnisa Azzahra
Jurnal Pengabdian Pendidikan Masyarakat (JPPM) Vol 5 No 1 (2024): Jurnal Pengabdian Pendidikan Masyarakat (JPPM) Vol 5 No 1 (2024)
Publisher : LPPM UNIVERSITAS MUHAMMADIYAH MUARA BUNGO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52060/jppm.v5i1.1875

Abstract

The batik industry in Purwo Bakti Village, Jambi, has great growth potential. However, the batik artisans are still constrained in marketing their products widely. Digital marketing education aims to equip batik artisans with the knowledge and skills to market their products using digital platforms. Education is carried out using training and mentoring methods. The training materials include an introduction to digital platforms, interesting content creation techniques, and digital marketing strategies. After attending the education, the batik craftsmen can create accounts and manage digital platforms, create interesting content to promote batik products and carry out digital marketing strategies by utilizing social media Facebook, WhatsApp and Instagram.
Web-Based Umrah Administration Information System at PT. Nur Haramain Mulia Tour Ahmad Risman; Riko Muhammad Suri; Muafi Muafi
Journal of Electrical Engineering and Computer (JEECOM) Vol 8, No 1 (2026)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v8i1.14873

Abstract

PT. Nur Haramain Mulia Tour still handled several umrah administrative processes manually, including pilgrim registration, data retrieval, and report preparation. This condition reduced efficiency and increased the risk of data loss and service delays. This study aimed to develop a web-based umrah administration information system to improve administrative services, facilitate online registration, and support more structured data management. The system was developed using the Rapid Application Development approach, which consists of requirement planning, system design, and implementation stages. Data were collected through observation, interviews, and literature study, while the application was implemented using the Laravel framework and MySQL database. The resulting system supports major administrative functions, including registration, pilgrim data management, information access, and report generation within a centralized database environment. System evaluation was conducted using black-box testing for internal validation and questionnaire-based external testing involving administrative staff and prospective pilgrims. The external testing results showed a satisfaction score of 94%, indicating that the system was highly acceptable to users. The study concludes that the proposed web-based system improves the effectiveness and efficiency of umrah administrative services and assists both staff and pilgrims in managing registration and information processes more accurately and systematically.
Design and Evaluation of a Web-Based Geographic Information System for PPDB Promotion Zoning Based on Student-Origin Distributions Riko Muhammad Suri; Ahmad Risman; Sidik Praptomo
Journal of Electrical Engineering and Computer (JEECOM) Vol 7, No 2 (2025)
Publisher : Universitas Nurul Jadid

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33650/jeecom.v7i2.12706

Abstract

Advances in information technology have accelerated the digitalization of educational services, including Indonesia’s student admission process (PPDB). This study designs and evaluates a web-based Geographic Information System (GIS) to map student-origin distributions and construct promotion zones that guide PPDB outreach strategies. The system was built with CodeIgniter and Leaflet for interactive mapping, while applicant addresses/school origins were processed via geocoding. Outputs include point maps, density heatmaps, administrative-area aggregation (urban village/sub-district), and simple distance buffers (e.g., 1–3 km) to derive rule-based priority promotion zones (thresholds on density and proximity to the school). Evaluation comprised functional testing (black box) and user assessments using questionnaires (Likert/SUS). Results indicate that the system expedites registration, reduces the risk of data loss, simplifies data summarization, and provides promotion-zoning maps that help committees target outreach more effectively. The contributions are: (1) a PPDB web-GIS model that combines origin mapping with rule-based promotion zoning, (2) a replicable operational workflow, and (3) recommendations for future work, including advanced analytics dashboards and automated notifications
Co-Authors Chairunnisa Azzahra DAFIT AFIANTO Hendry Wibowo Hermanto Hermanto Muafi Muafi Riko Muhammad Suri Riko Muhammad Suri Riko Muhammmad Suri Risti Afriyani Afriyani Rita Zunarti Sidik Praptomo Syahdan Muhada Assyaf Vivi Yanti Yuda Putra