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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Ilmu Komputer dan Agri-Informatika Scan : Jurnal Teknologi Informasi dan Komunikasi Indonesian Journal of Business and Entrepreneurship (IJBE) Register: Jurnal Ilmiah Teknologi Sistem Informasi Jurnal Ilmiah KOMPUTASI JOURNAL OF APPLIED INFORMATICS AND COMPUTING J I M P - Jurnal Informatika Merdeka Pasuruan Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Antivirus : Jurnal Ilmiah Teknik Informatika ILKOMNIKA: Journal of Computer Science and Applied Informatics Journal of Applied Engineering and Technological Science (JAETS) Just TI (Jurnal Sains Terapan Teknologi Informasi) TEPIAN Teknomatika (Jurnal Teknologi dan Informatika) Buletin Poltanesa JSIKTI (Jurnal Sistem Informasi dan Komputer Terapan Indonesia) Jurnal Lentera Pengabdian Journal of Geomatics Engineering, Technology, and Science ABDI UNISAP: Jurnal Pengabdian Kepada Masyarakat Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat
Karim, Syafei
Politeknik Pertanian Negeri Samarinda
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Social Sciences Other

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Pelatihan Penerapan Artificial Intelligence (AI) untuk Menunjang Aktifitas Pembelajaran Pada Sekolah Dasar Daarul Hijrah Al-Amin Samarinda Franz, Annafi; Maria, Eny; Suswanto, Suswanto; Yulianto, Yulianto; Rachmadani, Budi; Junirianto, Eko; Nurhuda, Asep; Khamidah, Ida Maratul; Ramadhani, Suci; Muslimin, Muslimin; Beze, Husmul; Andrea, Reza; Karim, Syafei; Putra, Emil Riza; Ramadhani, Fajar; Satria, Bagus; Imron, Imron
Lentera Pengabdian Vol. 1 No. 04 (2023): Oktober 2023
Publisher : Lentera Ilmu Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59422/lp.v1i04.139

Abstract

Dalam era perkembangan teknologi yang cepat dan globalisasi yang semakin luas, pendidikan di tingkat Sekolah Dasar (SD) menghadapi tantangan untuk terus meningkatkan kualitas pembelajaran. Kecerdasan Buatan (Artificial Intelligence atau AI) telah muncul sebagai sebuah alat potensial yang dapat merevolusi metode pembelajaran dan meningkatkan keterlibatan siswa. Namun, untuk berhasil menerapkan AI dalam kurikulum SD, para pendidik memerlukan pemahaman dan pelatihan yang memadai. Pengabdian ini bertujuan untuk memberikan latar belakang dan implementasi pelatihan penerapan AI dalam konteks pembelajaran di Sekolah Dasar Daarul Hijrah Al-Amin, Samarinda. Melibatkan para guru sebagai peserta utama, pelatihan ini berfokus pada memperkenalkan konsep dasar AI dan memberikan panduan praktis tentang cara mengintegrasikan teknologi ini ke dalam metode pembelajaran yang sudah ada. Harapannya, pelatihan ini akan membantu para pendidik dalam menciptakan lingkungan pembelajaran yang adaptif, interaktif, dan sesuai dengan kebutuhan individu siswa, dengan demikian, mendorong perkembangan keterampilan dan pemahaman yang lebih mendalam. Hasil dari pengabdian ini diharapkan dapat berkontribusi signifikan dalam pembaruan pendekatan pembelajaran di tingkat SD dan menciptakan dasar yang kokoh untuk peningkatan kualitas pendidikan dalam menghadapi tuntutan zaman modern yang terus berkembang.
Prostate Cancer Detection Using Gradient Boosting Machines Effectively MusliminB, Muslimin; Karim, Syafei; Nurhuda, Asep
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 19, No 3 (2025): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.107742

Abstract

Prostate cancer remains a leading cause of cancer-related deaths among men globally, emphasizing the critical need for accurate diagnostic tools. This study investigates the application of Gradient Boosting Machines (GBMs) for prostate cancer detection using a dataset with key tumor characteristics such as radius, texture, area, and symmetry. Data preprocessing included normalization, missing value handling, and the Synthetic Minority Oversampling Technique (SMOTE) to address class imbalance. The GBM model demonstrated an accuracy of 75%, with high precision (82%) and recall (88%) for malignant cases, underscoring its potential as a reliable diagnostic tool. However, the model's performance for benign cases was limited by severe class imbalance, reflected in a precision of 33% and recall of 25%. Interpretability was enhanced using SHAP values, identifying key predictors like tumor perimeter and compactness. While GBMs show promise in prostate cancer diagnostics, future research should incorporate multimodal data, advanced balancing techniques, and rigorous validation frameworks to enhance generalizability and fairness. This study highlights the value of machine learning in healthcare, contributing to improved diagnostic accuracy and patient outcomes.
Video branding untuk promosi usaha mikro kecil menengah (UMKM) Eka Sari, Wahyuni; Yulianto, Yulianto; Junirianto, Eko; Franz, Annafi; Karim, Syafei; Khamidah, Ida Maratul
Jurnal Inovasi Hasil Pengabdian Masyarakat (JIPEMAS) Vol 4 No 1 (2021)
Publisher : University of Islam Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33474/jipemas.v4i1.7174

Abstract

Nowadays, Branding or marketing share has evolved from creating images to video. The appropriate videos promotions can increase consumer interest in buying products. The suitable video can provide an positive image to consumers of a product or service. However, there are many obstacles in making interesting branding with video, such as the technique of taking pictures and creating an interesting storyline, the ability to package interesting videos such as editing sound and images, dubbing and then adding text. Solution for the problem, a community service program was carried out by the Politeknik Pertanian Negeri Samarinda to owners of micro, small and medium businesses (UMKM) in Samarinda. Implementation of this activity is carried out for a one-day workshop and then online mentoring for one week. The method of implementation is with lectures, practices, discussions and then questions and answers. This activity was attended by 30 participants. From 30 participants there were 28 participants who succeeded in making a video branding with a duration of 1 to 2 minutes.
Consumers' Perception of Omah Maha Hampers of College Students' Entrepreneurship Amalia, Puji Astuti; Syam, Herdi; Maulita; Yahya, Shanty; Karim, Syafei
Indonesian Journal of Business and Entrepreneurship Vol. 9 No. 2 (2023): IJBE, Vol. 9 No. 2, May 2023
Publisher : School of Business, IPB University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/ijbe.9.2.266

Abstract

This research is a qualitative study with a case study approach. This research was conducted in one Micro, Small and Medium Enterprise, Omah Maha. Omah Maha is a Micro, Small and Medium Enterprise organized by a group of students supported by Politeknik Negeri Samarinda. This research aimed to know consumers' perceptions of the hamper Omah Maha produced. The hamper created by Omah Maha is unique since it is a new business supported by Politeknik Negeri Samarinda, yet it is well known. Moreover, it has produced more than 50 packages in the first month. The research was conducted from September to November 2022. The data were collected through questionnaires, interviews and documentation. The subjects of the study were the consumers who met the criteria of this study. The data were analyzed and described qualitatively. The study found that the consumers had some perceptions of the hamper produced by Omah Maha, such as the price being affordable since the consumers could decide the price range. Furthermore, the strategy of promotion was interesting. Omah Maha used some digital platforms to advertise their product and offer special prices in the advertisement. The consumers also thought that the hamper had cultural value. Moreover, social factors, location and excellent service are also some factors that were considered. Keywords: consumers' perceptions, hamper, cultural value, Omah Maha, case study
Random Forest Methodology for Analyzing Diabetes Risk Factors B, Muslimin; Karim, Syafei; Nurhuda, Asep
Jurnal Sistem Informasi dan Komputer Terapan Indonesia (JSIKTI) Vol 5 No 4 (2023): June
Publisher : INFOTEKS (Information Technology, Computer and Sciences)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33173/jsikti.248

Abstract

Diabetes is a chronic disease posing significant health challenges globally, with rising prevalence due to genetic, lifestyle, and environmental factors. This research employs the Random Forest methodology to analyze diabetes risk factors and predict outcomes using a dataset of 768 patient records. Key attributes such as glucose levels, BMI, blood pressure, and age were evaluated to uncover their contribution to diabetes risk. The study achieved an overall accuracy of 72%, with glucose emerging as the most influential predictor, followed by BMI and age. While the model showed strong performance in identifying non-diabetic cases, moderate precision and recall for diabetic cases highlighted the impact of class imbalance. Feature importance analysis provided actionable insights, emphasizing glucose and BMI monitoring in diabetes management. Despite its strengths, challenges such as class imbalance and feature redundancy were noted, suggesting the need for oversampling techniques, additional variables, and advanced feature engineering. These findings demonstrate the utility of Random Forest in healthcare analytics, supporting predictive and preventive care strategies. Future research should focus on integrating lifestyle factors, expanding datasets, and exploring advanced machine learning models to enhance predictive accuracy and real-world applicability.
Optimalisasi Media Pembelajaran Digital: Pelatihan Canva untuk Guru Sekolah Dasar 012 Samarinda Puji Astuti Amalia; Syafei Karim; Shanty Yahya; Maulita Maulita
Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat Vol. 3 No. 1 (2025): Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/dharma.v3i1.1849

Abstract

Dengan fokus khusus pada desain poster, pengabdian masyarakat ini bertujuan untuk meningkatkan keterampilan guru sekolah dasar di SDN 012, Kecamatan Palaran dalam menggunakan Canva untuk membuat materi pembelajaran yang menarik. Sepuluh instruktur berpartisipasi dalam lokakarya, yang berlangsung pada tanggal 28 dan 29 April 2025, dan mencakup subjek seperti penggunaan Canva, konsep desain fundamental, dan penggunaan media poster di kelas. Pelatihan tersebut mendapat tanggapan positif dan menunjukkan bahwa Canva adalah alat yang berguna dan mudah diakses oleh para guru, meskipun ada masalah tertentu dengan infrastruktur yang terbatas dan tingkat kemahiran digital yang berbeda-beda. Latihan ini menekankan nilai pengembangan profesional guru yang berkelanjutan dan pemberdayaan digital. Penulis menyarankan bahwa kegiatan selanjutnya dapat memberikan pendampingan dan tindak lanjut untuk mempertahankan kemampuan yang diperoleh dan mempromosikan penggunaan yang lebih luas dalam strategi pengajaran.
Enhancing sexual education for children with special needs through augmented reality: development and evaluation of the Magical SeDu application Maria, Eny; Satria, Bagus; Andrea, Reza; Imron, Imron; Karim, Syafei; Ramadhani, Fajar; Suswanto, Suswanto; Putra, Emil Riza; Sjamsir, Hasbi
International Journal of Electrical and Computer Engineering (IJECE) Vol 16, No 1: February 2026
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijece.v16i1.pp288-296

Abstract

This research focuses on the educational obstacles encountered by children with special needs (CWSN), specifically in sexual education, through developing and evaluating the Magical SeDu application. Using a three-phase instructional design model, the study followed the planning, design, and development phases to create user-centered features that meet diverse learning needs. User acceptance testing (UAT) further confirmed the usability and effectiveness of the app, with a satisfaction rating of 86.04%. These findings underscore the transformative potential of augmented reality (AR) technology in inclusive education, fostering interactive and visually stimulating learning experiences. The study also emphasizes the importance of involving stakeholders in the development process to ensure the app meets the specific needs of its users. Future research should focus on enhancing the app’s features and exploring its integration into broader educational environments to maintain accessibility and continuous improvement. This study contributes to the advancement of inclusive education strategies and highlights the critical role of sex education in increasing self-awareness and protection for children with special needs.
Improving Digital and Health Literacy: The "E-Sehati" Program for the Family Welfare Empowerment Group of Sempaja Selatan Abdul Hamid Kurniawan; Musdalifah Maulita; Rufina Hurai; Syafei Karim; Nurhasanah
Poltanesa Vol 26 No 2 (2025): December 2025
Publisher : P3KM Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tanesa.v26i2.3520

Abstract

The Family Welfare Empowerment (PKK) organization in Sempaja Selatan encounters several challenges, including gaps in digital access and suboptimal health conditions, where recurring floods often worsen public health issues. To overcome these problems, the E-Sehati program short for Business, Healthy Living, and Digital was introduced as an initiative to educate communities on digital technology use and to encourage clean and healthy living behaviors, especially among vulnerable populations. This research aims to design and assess the effectiveness of the E-Sehati program in enhancing digital literacy, particularly in relation to health behavior, and ultimately improving the community’s quality of life. The development of the E-Sehati program adopted the Waterfall model, which progresses through stages from analysis to evaluation. It focuses on educating participants about ten essential household health practices, including childbirth assisted by health professionals, exclusive breastfeeding, regular weighing of infants and toddlers, the use of clean water, proper handwashing, adequate sanitation, mosquito larvae control, daily exercise, balanced nutrition, and maintaining a smoke-free home environment. Data gathered through beta testing indicated that the program substantially enhanced participants’ digital literacy and encouraged healthier lifestyle habits. Overall, this study highlights the potential of multimedia-based health education and deepens understanding of how digital literacy and information technology can contribute to better household health outcomes.
Implementation Augmented Reality for Campus Building Visualization at Politeknik Pertanian Negeri Samarinda Muh. Unicon Riski Yahrib; Syafei Karim; Bagus Satria; Suci Ramadhani
TEPIAN Vol. 7 No. 1 (2026): March 2026
Publisher : Politeknik Pertanian Negeri Samarinda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51967/tepian.v7i1.3289

Abstract

This study aims to develop and implement a marker-based Augmented Reality (AR) application for visualizing campus buildings at Politeknik Pertanian Negeri Samarinda. The application, built using Unity 3D and Vuforia SDK, enables users to scan physical markers on buildings to display interactive 3D models and access detailed information about each facility. The research follows the Multimedia Development Life Cycle method, encompassing stages of concept, design, material collection, assembly, testing, and distribution. Technical testing evaluated the application’s performance across three Android devices, assessing marker detection range (0.5–3 meters), lighting conditions (optimal at 500–100,000 lux), and functionality (100% success in black-box testing). User Acceptance Testing (UAT) involved 30 respondents (new students) and yielded an average score of 4.245 out of 5, indicating high satisfaction. The results demonstrate that the AR application effectively enhances campus navigation and engagement, with marker-based tracking proving reliable for precise object visualization. This project contributes to the adoption of AR technology in educational institutions for promotional and orientation purposes.
Design IoT for Intelligent Soil Detection in Agriculture and Future Mine-Used Land Reclamation with Mobile Apps Imron, Imron; Satria, Bagus; Ramadhani, Fajar; Karim, Syafei; Dwi Putra Sidik, Rizky
ILKOMNIKA Vol 8 No 1 (2026): Volume 8, Number 1, April 2026
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v8i1.808

Abstract

Former mining lands in Indonesia, particularly in East Kalimantan, experience severe soil degradation characterized by high acidity, nutrient deficiency, and poor physical structure, which limit their potential for agricultural reuse. This study presents the design and implementation of an integrated Internet of Things (IoT)–based soil monitoring system combined with an artificial intelligence (AI)–driven crop recommendation module to support data-driven land reclamation and precision agriculture. The system consists of an ESP32 microcontroller, NPK soil sensors with RS485 communication, and a cloud-connected mobile application developed using Flutter, Firebase, and ThingsBoard. Soil parameters including pH, moisture, electrical conductivity, temperature, and macronutrients (nitrogen, phosphorus, and potassium) are collected in real time and analyzed using an AI-based reasoning model to generate crop suitability recommendations. System validation was conducted through black-box functional testing covering authentication, data acquisition, geotagged storage, analytics, and recommendation modules. A total of 35 test cases were executed, with 33 cases (94.3%) passing successfully. Performance evaluation shows that dashboard visualization and recommendation generation meet predefined service-level thresholds under normal network conditions. The results indicate that the proposed system is technically feasible for real-time soil monitoring and decision support on post-mining land. However, this study is limited to system-level validation and does not yet include large-scale agronomic field trials or comparative evaluation against conventional soil assessment methods. Future work will focus on improving AI model validation, expanding field deployment, and assessing agronomic impacts over longer cultivation cycles.
Co-Authors Abdul Hamid Kurniawan Alam, Muhammad Wahyu Syafiul annafi franz, annafi Annafi’ Franz Ayu Lestari Budi Ramadhani Dawamul Arifin Dewi Rostia Dian Pratiwi Nurdin Dwi Putra Sidik, Rizky Egi Noviandra, Muhammad Eka Sari, Wahyuni Eko Junirianto Emil Riza Putra Eny Maria Erna Mulyati F. V. Astrolabe Sian Prasetya Fajar Ramadhani Fajar Ramadhani Fajar Ramadhani Fajar Ramadhani Gunawan Gunawan Guntur Arie Wibowo Herdi Syam Hurai, Rufina Husmul Beze, Husmul Ida Maratul Khamidah Imam Kuswardayan Imron Imron Imron Imron Imron Imron, Imron Kardika, Adelia Juli Kevin Rivaldi Sosang Linda Linda M. Zaenal Abidin Maria, Eny Maulita Maulita Maulita Milatus Sholihah Mukarromah Muh. Unicon Riski Yahrib Muhammad Ari Pratama Murti, Darlis Heru Musdalifah Maulita Muslimin B, Muslimin Muslimin Muslimin Nia Kurniadin Nur Aini Nurhasanah Nurhasanah Nurhuda, Asep Nyoman Santiyadnya Pebiansyah Hafsari Ping, Maria Floriana Pratiwi Wijayanti Puji Astuti Amalia Puji Astuti Amalia Rachmadani, Budi Ratih Fenty Anggriani Bintoro Reza Andrea Riko Raynol Hasan Ronaldo Pascalis Naro Rudito Rudito Salsabila, Unik Hanifah Shanty Yahya Sjamsir, Hasbi Sry Wahyuni Suci Ramadhani Suci Ramadhani Suci Ramadhani, Suci Sundarti, Anisa Suswanto Suswanto Suswanto Suswanto Suswanto, Suswanto Tarsius Aloysius Pedor Tina Tri Wulansari Tri Hannanto Saputra Wahyuni Eka Sari Winda Surmanti Yahya, Shanty Yuli Fitrianto Yulianto Yulianto Yulianto Yulianto Yulianto