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All Journal Jurnal Online Mahasiswa (JOM) Bidang Ilmu Hukum SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Manajemen Atma Jaya Jurnal ULTIMATICS IKRA-ITH EKONOMIKA Jurnal Teknik Industri Terintegrasi (JUTIN) Journal of English Language and Education Indonesian Journal of Innovation Studies Jurnal Manajemen JURNAL MANAJEMEN MODAL INSANI DAN BISNIS (JMMIB) Inisiatif: Jurnal Ekonomi, Akuntansi Dan Manajemen Jurnal Sains dan Ilmu Terapan Masip: Jurnal Manajemen Administrasi Bisnis dan Publik Terapan JAKBS Guruku: Jurnal Pendidikan dan Sosial Humaniora Jurnal Perencanaan, Sains dan Teknologi (Jupersatek) Journal of Engineering Science and Technology Management Abdimas Terapan: Jurnal Pengabdian Kepada Masyarakat Terapan Dinamika Publik: Jurnal Manajemen dan Administrasi Bisnis Jurnal Media Akademik (JMA) Ardhi: Jurnal Pengabdian dalam Negri Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research Jurnal Intelek Insan Cendikia Indonesia Bergerak: Jurnal Hasil Kegiatan Pengabdian Masyarakat Indonesian Journal of Emerging Trends in Community Empowerment Journal of Current Research in Humanities, Social Sciences, and Business Journal of Current Research in Management, Policy, and Social Studies
Rahmad Akbar
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Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Astronomy Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Chemistry 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 Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Transportation Other

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Implementasi Analisis Forecasting Penjualan Ekspor Copra Dengan Metode Time Series Pada CV. DATY International Di Tembilahan Yoga Winanda, T.; Akbar, Rahmad; Rahmayani, Merlia; Yetti, Dzulhijjah
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 1 (2023): April 2023
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i1.14451

Abstract

Forecasting is an estimate of something that has not happened or will happen in the future. Forecasting is a very important element in decision-making, because the effectiveness of a decision generally depends on several factors that we cannot see when the decision is made. In mathematics, the part that can be used in forecasting is simple regression with linear trend analysis using the least squares method. The purpose of writing this thesis is to predict the number of export sales of copra and coconut shell through Linear Trend analysis and application using the Least Squares Method.
Analisis Strategi Pemasaran dalam Upaya Meningkatkan Penjualan Industri Keripik Nenas Pasca Pembangunan Jalan Tol Bangkinang-Pekanbaru Akbar, Rahmad; Yetti, Dzulhijjah; Rahmayani, Merlia; Hasybi, Khairul
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 6 No. 4 (2023): Oktober
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jutin.v6i4.19913

Abstract

Home Industry Keripik Nenas is a company that produces dry and wet cakes, but they are facing challenges in the form of declining sales. This research aims to identify competitors' advantages using the benchmarking method and to identify the company's strengths, weaknesses, opportunities and threats, as well as designing marketing strategies to increase sales. The results of the benchmarking analysis reveal that competitors have many advantages. Meanwhile, the SWOT calculation results show that Keripik Nenas's main strength is its delicious taste, but this company has a weakness in its limited product variety. Companies have great opportunities in the form of high consumer loyalty to their products, but also face threats from the emergence of similar products on the market. Therefore, from this SWOT analysis, several marketing strategies can be designed to increase sales.
Analisis dampak Pembangunan Infrastruktur terhadap Pendapatan Rumah Makan dan Usaha oleh-oleh (Studi Kasus Pembangunan Jalan Tol Bangkinang-Pekanbaru Akbar, Rahmad; Yetti, Dzulhijjah; Rahmayani, Merlia; Yelmi, Harmi; Nurbit, Nurbit; Kaido, Boris
Jurnal Teknik Industri Terintegrasi (JUTIN) Vol. 7 No. 2 (2024): April
Publisher : LPPM Universitas Pahlawan Tuanku Tambusai

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

Abstract

The development of Bangkinang-Pekanbaru toll road infrastructure has become the government's focus in efforts to improve connectivity and accelerate economic growth in the region. This research aims to analyze the impact of toll road construction on the income of restaurants and souvenir businesses before and after the operation of the toll road. This research was conducted using a quantitative approach with interviews with business owners. Data analysis uses a normality test to ensure the data is normally distributed and a difference test (T-test) to determine differences in respondents' income. The results of the research show that there is a significant difference in income between restaurants and souvenir businesses before and after the toll road. The results of the income normality test at restaurants are normally distributed data with a Sig value. 0.057 > 0.05, and income from the souvenir business is also normally distributed data with a Sig value. 0.281 > 0.05. The results of the Paired Sample T-test concluded that the restaurant obtained a Sig. (2-tailed) value of 0.000 < 0.05, so Ha was accepted "there was a difference in income at the restaurant before and after the Bangkinang-Pekanbaru toll road", whereas in The souvenir business obtained a Sig (2-tailed) value of 0.000 < 0.05, so Ha was accepted "there was a difference in income in the souvenir business before and after the Bangkinang-Pekanbaru toll road". This research contributes to further understanding of the relationship between toll road infrastructure development and local economic growth, especially in the context of income from restaurants and souvenir businesses.
Web-Based Modernized Information System for Catfish Supply Chain Management in Village-Owned Enterprises: Sistem Informasi Modernisasi Manajemen Rantai Pasok Ikan Patin Berbasis Web Pada BUMDes Nasari, Fina; Veronika, Nina; Deli, Nur Asma; Akbar, Rahmad; Habibie, Indra; Nurkholifah, Mahdiawan; Amelia , Suci Fitri
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1825

Abstract

General Background: Information systems play an essential role in processing data into useful information for decision-making and improving work efficiency. In the business sector, these systems are not only used for recording but also serve as strategic tools for managing resources, designing distribution, and strengthening coordination among business actors. Knowledge Gap: However, in the fisheries sector, particularly in catfish farming in Kampar Regency, there are still challenges such as limited price information, dependence on middlemen, and inefficient distribution. These issues reduce farmers’ profits and limit consumer access to fresh products at reasonable prices. Aims: The development of a web-based Supply Chain Management (SCM) information system aims to facilitate distribution processes, support online transactions, and provide accurate data regarding production, pricing, and market demand. Result:Based on the results of the User Acceptance Test (UAT) conducted with 20 respondents and 10 evaluation questions, user acceptance of the system was very positive, with average scores ranging between 80–95 percent and an overall satisfaction rate above 85 percent. Novelty: This research integrates SCM principles into a web-based system specifically designed for rural-scale catfish supply chains, enabling direct interaction among farmers, BUMDes, and consumers in a single digital platform. Implication: The developed system is feasible to implement and has the potential to support BUMDes Koto Masjid in expanding market access, improving farmer welfare, and strengthening national food security. Highlights: Developed a web-based SCM system integrating farmers, BUMDes, and consumers in the catfish supply chain. Achieved over 85% user satisfaction based on UAT results from 20 respondents. Improved distribution efficiency, market access, and strengthened local food security. Keywords: Information System, Supply Chain Management, Catfish Farming
Strategi Pengembangan Manajemen Bisnis Digital Berbasis Web untuk Mendukung Ketahanan Pangan Lokal di Sektor Perikanan Patin Kecamatan XIII Koto Kampar Andri Nofiar. Am; Rahmad Akbar; M. Alkadri Perdana; Antoni Pribadi; M. Rukhsah
Inisiatif: Jurnal Ekonomi, Akuntansi dan Manajemen Vol. 4 No. 4 (2025): Oktober: Inisiatif : Jurnal Ekonomi, Akuntansi dan Manajemen
Publisher : Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/inisiatif.v4i4.5226

Abstract

The rapid development of digital technology has created new opportunities for strengthening local economies, especially in rural areas with unique commodity potentials. This study aims to develop a digital business strategy to enhance the local economy based on the catfish (ikan patin) commodity in Kampung Patin. The research employs a qualitative descriptive approach using SWOT analysis to identify internal and external factors that influence the digital transformation of local entrepreneurs. Data were collected through interviews, field observations, and documentation involving fish farmers, business owners, and local government representatives. The results of the SWOT analysis reveal that community solidarity and product quality are the main strengths, while weaknesses include limited digital literacy and marketing capacity. Opportunities arise from the growth of e-commerce platforms and government support for digitalization programs, whereas threats come from increasing market competition and technological gaps. The findings suggest that strengthening digital marketing capabilities, building a collective brand identity, and developing a local e-marketplace can enhance competitiveness and promote sustainable economic growth in Kampung Patin.
PEMBERDAYAAN PELAKU USAHA IKAN PATIN MELALUI IMPLEMENTASI DIGITAL SUPPLY CHAIN MANAGEMENT DI KECAMATAN 13 KOTO KAMPAR [EMPOWERING PATIN FISH BUSINESS ACTORS THROUGH THE IMPLEMENTATION OF DIGITAL SUPPLY CHAIN MANAGEMENT IN DISTRICT 13 KOTO KAMPAR] Nasari, Fina; Veronika, Nina; Deli, Nur Asma; Akbar, Rahmad; Habibie, Indra; Nurkholifah, Mahdiawan; Amelia, Suci Fitri
Al-Ihtiram: Multidisciplinary Journal of Counseling and Social Research Vol 4, No 2 (2025)
Publisher : Perkumpulan Ahli Bimbingan dan Konseling Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59027/al-ihtiram.v4i2.1145

Abstract

This Community Service Program aims to enhance the capacity of patin fish business actors in District 13 Koto Kampar through the adoption of digital technology in production recording, supply chain management, and market information utilization. The main problems faced by the partners include inaccurate manual recording, inefficiencies in distribution, and limited access to data and market opportunities. To address these challenges, the program was carried out through a series of training sessions, technical assistance, demonstrations of digital application usage, and evaluations conducted before and after the activities. The implementation methods focused on improving participants’ skills in adopting digital recording systems, understanding modern supply chain–based distribution flows, and utilizing market information to increase competitiveness. The evaluation results indicate a significant increase in competencies across all measured aspects. The average pre-test and post-test scores improved in Digital Production Recording (from 58 to 84), Supply Chain Management (from 55 to 82), and Market Information Utilization (from 52 to 80). This improvement reflects the success of the program in strengthening the participants’ digital capacities and enhancing the operational efficiency of their businesses. Overall, the program provides positive impacts on the digitalization of local fisheries enterprises while building a stronger foundation for the development of sustainable marketing and distribution strategies.
Peningkatan Literasi Statistik melalui Pelatihan Statistical Package for the Social Sciences bagi Mahasiswa Manajemen Bencana Rahmat, Hayatul Khairul; Akbar, Rahmad; Yetti, Dzulhijjah; Nurbit, Nurbit; Sispurwanto, Yedi; Yelmi, Harmi; Nurkholis, Nurkholis
Indonesian Journal of Emerging Trends in Community Empowerment Vol. 3 No. 2 (2025): Desember
Publisher : PT Hakhara Akademia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71383/ijetce.v3i2.103

Abstract

Statistical literacy is a fundamental competency for Disaster Management students, as disaster-related decision-making relies heavily on the analysis of risk, vulnerability, capacity, and disaster impact data. However, various studies and learning experiences indicate that students still face difficulties in understanding applied statistical concepts and operating data analysis software such as the Statistical Package for the Social Sciences (SPSS). This community service activity aims to improve the statistical literacy of Disaster Management students through structured, practical, and disaster-contextualized SPSS training. The implementation method includes stages of needs analysis, training module design, hands-on practice–based training, and evaluation through pre-tests and post-tests. The results of the activity show a significant improvement in students’ understanding of basic statistical concepts, their ability to process and analyze disaster-related data using SPSS, as well as increased confidence in preparing data-driven scientific reports. This program is expected to contribute to improving the quality of human resources in the field of disaster management by promoting evidence-based decision making.
Meningkatkan Literasi Digital Mahasiswa melalui Pelatihan Penggunaan ChatGPT Berbasis Artificial Intelligence Akbar, Rahmad; Rahmat, Hayatul Khairul; Yetti, Dzulhijjah; Nurkholis, Nurkholis; Veronika, Nina
Indonesian Journal of Emerging Trends in Community Empowerment Vol. 3 No. 2 (2025): Desember
Publisher : PT Hakhara Akademia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71383/ijetce.v3i2.104

Abstract

The development of Artificial Intelligence (AI) has brought significant changes to higher education, particularly in the way students access, process, and utilize digital information. One rapidly advancing AI technology is ChatGPT, an artificial intelligence–based language model capable of supporting learning processes, academic writing, basic data analysis, and problem solving. However, the use of ChatGPT among students still faces various challenges, such as low levels of critical digital literacy, the potential misuse of technology, and a lack of understanding of academic ethics. This community service activity aims to enhance students’ digital literacy through training on the critical, ethical, and productive use of AI-based ChatGPT. The implementation methods include needs analysis, development of training modules, hands-on practice–based training, and evaluation through pre-tests and post-tests. The results indicate a significant improvement in students’ understanding of AI concepts, their ability to use ChatGPT responsibly, and the enhancement of digital literacy skills in an academic context. This activity is expected to support the strengthening of student competencies in facing digital transformation in higher education.
Integrating Human Resource Management with Business Strategy: A Literature-Based Analysis Habibie, Indra; Akbar, Rahmad; Suhailah, Roshikah Wafa; Rahmat, Hayatul Khairul
Journal of Current Research in Humanities, Social Sciences, and Business Vol. 1 No. 2 (2024): December
Publisher : PT Hakhara Akademia Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71383/vbb6qq26

Abstract

The integration of Human Resource Management (HRM) with business strategy has become a critical concern for organizations seeking sustainable competitive advantage in an increasingly dynamic and globalized environment. Strategic Human Resource Management (SHRM) emphasizes the alignment between human capital practices and organizational objectives, positioning employees as strategic assets rather than operational resources. This literature-based analysis synthesizes key theoretical frameworks and empirical findings on the relationship between HRM and business strategy. Drawing exclusively on international peer-reviewed journals, the study examines dominant SHRM models, mechanisms of strategic alignment, and the impact of integrated HRM systems on organizational performance. The analysis reveals that effective integration enhances firm performance through improved employee commitment, capability development, and organizational flexibility. However, the literature also highlights persistent challenges related to implementation, contextual fit, and measurement of HRM outcomes. The study concludes that integrating HRM with business strategy is not a linear or universal process, but a dynamic capability shaped by organizational context, leadership, and external environmental factors.
Developing a Supply Chain Management Application for Laying Hens with Integrated Egg Quality Detection Based on Computer Vision (Case Study of a Laying Hen MSME) : Pengembangan Aplikasi Manajemen Rantai Pasok untuk Ayam Petelur dengan Deteksi Kualitas Telur Terintegrasi Berbasis Penglihatan Komputer (Studi Kasus Usaha Mikro, Kecil, dan Menengah (UMKM) Ayam Petelur) Bamatraf, Lutfia; Akbar, Rahmad; Rahman, Zumardi; Afifah, Belia; Nurkholis, Nurkholis
Indonesian Journal of Innovation Studies Vol. 27 No. 1 (2026): January
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v27i1.1873

Abstract

Manual egg grading and fragmented supply chain management in poultry SMEs often cause inconsistent egg quality decisions, inaccurate inventory records, and avoidable distribution losses. This study aims to develop and evaluate an integrated supply chain management system that embeds computer vision–based egg quality detection to improve real-time operational control and decision-making. The system is implemented as a digital SCM application connected to a convolutional neural network model trained on 1,200 labeled egg images across five quality categories (good, cracked, dirty, fertile, non-fertile), with performance assessed using accuracy, precision, recall, F1-score, and inference time, alongside before–after operational and economic measurements in an SME workflow. Results show the CNN achieves 92% validation accuracy with average precision 0.92, recall 0.94, F1-score 0.93, and 0.11 seconds per egg inference, enabling practical real-time classification. After integration, egg sorting accuracy increases from 75.5% to 90.2%, inspection time decreases by 81.3%, sorting capacity rises 5.3×, and inventory accuracy improves from 82% to 98%, reducing daily stock discrepancies by 85%. The novelty lies in tightly coupling computer vision quality outputs with SCM inventory and distribution modules, creating immediate stock updates and automated control points. The findings imply that AI-enabled digital supply chain management strengthens quality assurance, inventory optimization, and SME profitability, supporting scalable modernization of food supply chains through deployable computer vision systems. Highlights: Integrated computer vision raises egg sorting accuracy from 75.5% to 90.2%. Real-time CNN classification reaches 92% validation accuracy with 0.11 s inference. Digital SCM lifts inventory accuracy to 98% and delivers 193% ROI payback. Keywords: Computer Visio, Supply Chain Management, Egg Quality Detection, Convolutional Neural Network, Poultry SMEs, Inventory Optimization
Co-Authors Adi Apriadi Agung Pramono Akmir Akmir Akmir Akmir Am, Andri Nofiar Amelia , Suci Fitri Amelia, Suci Fitri Antoni Pribadi Aslim Aslim Aslim Aslim Asrul Muslim Asti Mega Fitria Azhari Bamatraf, Lutfia Bambang Pramono Belia Afifah Boris Kaido Bustami Bustami CAHYANI, ANNISA Cris Kuntadi Dedi Kurnia Dharma Setiawan Diah Ramadhani Dini Amalia Putri Dzulhijjah Yetti Ersi Sisdianto Febrianton, Adi Fina Nasari habibie, indra Habibullah, Abdi Naufal hafid, Burhan Harmi Yelm Harmi Yelmi Hasybi, Khairul Hayatul Khairul Rahmat Idu Aulia Indra Habibi Indra Habibie Indrayeni Junaidi Junaidi Junaidi, Anwar Junas Junas Junas, Junas Kurnia, Dedi Larbiel Hadi M. Alkadri Perdana M. Rukhsah Merlia Rahmayani Mexsasai Indra Nethania Nava, Lilian Nofiar, Andri Nur Asma Deli Nurbit Nurbit Nurbit, Nurbit Nurkholifah, Mahdiawan Nurkholis Nurkholis Nurkholis Nurkholis Nurkholis Nurkholis Nurkholis Oby, Muhammad Octora Br. Turnip, Mariana Perdana, M. Alkadri Pribadi, Antoni Priyana, Winda Putri, Indah Purnama Rahman, Zumardi Rahmayani, Merlia Ramadhan, Denis Rasihen, Yogy Rezkillah, Nafil Rizal Adi Saputra Santri Utami ms Suhailah, Roshikah Wafa Tri Kurniaty Vitria Nur Qholiva, Hawa Yedi Sispurwanto Yelmi, Harmi Yoga Winanda, T.