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Empowering Farmers Through a Practical and Energy-Efficient Goat Feed Chopping Machine Dalil, M; Arief, Dodi Sofyan; Jahrizal, Jahrizal; Junaedi, Achmad Tavip; Susanti, Wilda; Tendra, Gusrio; Renaldo, Nicholas; Koto, Jaswar; Musa, Sulaiman; Wahid, Nabila; Cecilia, Cecilia
International Conference on Business Management and Accounting Vol 2 No 2 (2024): Proceeding of International Conference on Business Management and Accounting (May
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/icobima.v2i2.5075

Abstract

This initiative is part of a broader commitment to support rural agricultural development through technological innovation and knowledge transfer. Through workshops, demonstrations, and direct community involvement, this program will not only provide access to the feed chopper but also equip farmers with the skills and understanding needed to adopt and sustain its use. This community service project was designed using a participatory and problem-solving approach, integrating technical innovation with local knowledge to empower goat farmers. This community service initiative successfully introduced a practical and energy-efficient goat feed chopping machine to a rural farming community. The machine effectively addressed key challenges in manual feed preparation, including time consumption, labor intensity, and inconsistency in feed size. This initiative demonstrates that small-scale engineering solutions, when aligned with local needs and capacities, can significantly advance rural development and agricultural sustainability.
Micro-Livestock and Macro-Impact with A Goat Farming Empowerment Program Rahman, Sarli; Dalil, M; Jahrizal, Jahrizal; Junaedi, Achmad Tavip; Renaldo, Nicholas; Marlim, Yulvia Nora; Susanti, Wilda; Koto, Jaswar; Musa, Sulaiman; Wahid, Nabila; Cecilia, Cecilia
International Conference on Business Management and Accounting Vol 3 No 1 (2024): Proceeding of International Conference on Business Management and Accounting (Nov
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/icobima.v3i1.4653

Abstract

This program is designed to provide hands-on training, resources, and long-term support to individuals and families, especially women and youth, in rural areas. By equipping participants with the knowledge and tools necessary for successful goat rearing, the program not only creates opportunities for additional income but also strengthens food resilience and self-sufficiency at the grassroots level. This community service program employs a participatory and sustainable development approach to implement goat farming as a tool for empowerment and livelihood improvement. The methodology consists of five main phases: community assessment, participant selection, training and capacity-building, implementation, and monitoring & evaluation. The Micro-Livestock and Macro-Impact program demonstrated that small-scale goat farming can serve as a powerful tool for community empowerment, particularly in rural areas with limited income sources. Through training, resource provision, and cooperative support, participants significantly improved their knowledge, increased their household income, and began to experience the benefits of sustainable livestock management. The success of this program highlights the potential of micro-livestock farming to serve as a replicable and scalable model for rural development. It shows that even small agricultural interventions, when paired with training and community engagement, can lead to measurable improvements in food security, income generation, and social empowerment.
Designing Startup Application “LaKu” for MSME in Riau Based on Android Marlim, Yulvia Nora; William, William; Susanti, Wilda; Fadrul, Fadrul; Nicholas Renaldo; Musa, Sulaiman; Wahid, Nabila
Journal of Applied Business and Technology Vol. 6 No. 2 (2025): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v6i2.228

Abstract

Department of Industry, Trade, Cooperatives and SMEs (DITCS) of Riau has an important role in supporting 631,347 groups of Micro, Small and Medium Enterprises (MSMEs) engaged in various fields such as handicrafts, batik, songket, and food and beverages. Many MSME merchants still market their products traditionally through the neighborhood and word of mouth, while online marketing faces a big challenge because they have to compete with well-known brands, making them difficult to develop and grow their business. To overcome these problems, an Android-based application “LaKu” was developed that aims to help MSME merchants in expanding their marketing reach and increasing their competitiveness in Riau. The development of this application uses the Extreme Programming (XP) method which consists of four main steps: Planning, Design, Code, and Testing. The development results show that the “LaKu” application can be an effective digital marketing platform, helping MSMEs in promoting products more widely without having to compete directly with big brands. With this application, MSMEs are able to increase competitiveness and contribute to local economic growth in Riau Province.
Building a Value-Oriented Digital Business Model for Traditional Anti-Migraine Herbal Tea Products Renaldo, Nicholas; Veronica, Kristy; Panjaitan, Harry Patuan; Junaedi, Achmad Tavip; Fadrul, Fadrul; Andi, Andi; Suhardjo, Suhardjo; Susanti, Wilda; Tendra, Gusrio; Jahrizal, Jahrizal
Luxury: Landscape of Business Administration Vol. 3 No. 1 (2025): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v3i1.125

Abstract

The growing demand for natural health solutions and the integration of digital lifestyles presents new opportunities for innovation in traditional herbal products. This study aims to design a value-oriented digital business model for an anti-migraine herbal tea, combining traditional herbal knowledge with modern digital entrepreneurship and accounting systems. The research used a qualitative approach, integrating the Business Model Canvas (BMC), Value Proposition Canvas (VPC), and digital accounting to formulate a scalable and consumer-centric business framework. The herbal formulation, consisting of ginger, peppermint, turmeric, lemongrass, lavender, cinnamon, and stevia, was developed based on scientific literature and traditional practices. Through consumer insights, market segmentation, and prototype evaluation with stakeholders and experts, the model was validated for its market viability and alignment with health-conscious and digital native consumers. The findings indicate that the integration of digital accounting enhances transparency, financial control, and business credibility, while the overall model supports sustainability, traceability, and value creation. This research contributes to the fields of digital business, sustainable product innovation, and the commercialization of traditional medicines. Future research is recommended to combine quantitative validation and clinical testing to improve the robustness and impact of the model.
Software Konsultasi Seleksi Karir Siswa menggunakan Metode Certainy Factor Irwan, Irwan; Gustientiedina, Gustientiedina; Hajjah, Alyauma; Desnelita, Yenny; Susanti, Wilda
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 8 No 1: Februari 2021
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.0811093

Abstract

Model software konsultasi seleksi karir sebagai alternatif  pengambilan keputusan dimana  konsultasi meliputi pemahaman karir, perencanaan karir, alternatif pilihan karir yang berupa alat penelusuran minat dan bakat siswa terhadap keputusan karir siswa menggunakan metode certainty factor berbasis sistem pakar. Penelitian ini menghasilkan model software konseling dalam memperoleh informasi penting tentang pengembangan karir siswa dan membantu memfasilitasi perkembangan individu siswa melalui bentuk layanan agar mampu merencanakan karirnya berdasarkan jurusan, minat, bakat, pengetahuan, kepribadian, kompetensi dan faktor-faktor lain yang mendukung kemajuan dirinya dalam menentukan pilihan dan keputusan yang sesuai dengan dunia kerja pilihan siswa.Sistem diuji menggunakanwhite box dan black boxdengan menunjukan hasil dimana sistem dapat digunakan sesuai kebutuhan. AbstractCareer selection consulting software model as an alternative decision making where consultation that includes career understanding,career understanding, career planning, alternative career choices in the form of a tool to trace students' interests and talents towards student career decisions using expert system based certainty factor method. This research produces a counseling software model in obtaining important information about student career development and helps facilitate individual students development  through a form of service in order to be able to plan his career based on majors, interests, talents, knowledge, personality, competencies and other factors that support his progress in determining choices and decisions that are appropriate to the world of work choice. The system is tested using white boxes and black boxes by showing the results where the system can be used as needed.
Optimisation  Best Sales Assessment Using aCombination of Rank Order Centroid and Additive Ratio Asessment Algorithms Yulvia Nora Marlim; Erlin; Susanti, Wilda; Jollyta, Deny; Oktarina, Dwi
INOVTEK Polbeng - Seri Informatika Vol. 9 No. 2 (2024): November
Publisher : P3M Politeknik Negeri Bengkalis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35314/0d6dw147

Abstract

Employee assessment in a company is one of the tricks used to improve employee performance, so that it can be profitable for the company. One of the methods used to determine the best employees is to use a decision support system (DSS). By using DSS, decision making becomes faster, more accurate, efficient and effective. This study was used to determine the best sales at PT Surya Asia Abadi. By combining the Rank Order Centriod (ROC) Algorithm and Additive Ratio Assessment (ARAS) in the DSS, it can produce a better level of prediction accuracy and decision making based on the processed data. Where in this study using 6 (six) variables and 7 (seven) alternatives. The ROC algorithm is used to find the weight of each variable, and the weight obtained from the ROC is then processed using the ARAS algorithm to obtain alternative rankings. The purpose of this study is to make it easier for the Company to determine the best employees with more accurate results. The research results showed that the highest ranking was achieved by alternative AL3 with a value of 0.884 and the lowest was obtained by alternative AL1 with a value of 0.684.
Development of IoT-Based Accounting System for Automatic Environmental Data Monitoring Susanti, Wilda; Renaldo, Nicholas; Chandra, Teddy; Tendra, Gusrio; Veronica, Kristy; Ramadhani, Ramadhani; Ramdani, Ramdani; Panjaitan, Harry Patuan; Junaedi, Achmad Tavip; Purnama, Intan
Interconnection: An Economic Perspective Horizon Vol. 2 No. 2 (2024): Interconnection: An Economic Perspective Horizon
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/interconnection.v2i2.122

Abstract

This study aims to develop an IoT-based accounting system called Smart Eco Ledger to automatically monitor and record environmental data for use in environmental accounting reports. The system integrates sensors (e.g., temperature, humidity, CO₂), a microcontroller (ESP32), cloud storage (Firebase), and a user-friendly web dashboard. It enables real-time monitoring, automatic data logging, and simple report generation for environmental performance tracking. The results showed that the system works accurately, with high user satisfaction scores in usability testing. This innovation bridges the gap between environmental monitoring and accounting practices by eliminating manual input and increasing data reliability. The novelty of this research lies in the integration of IoT technology with environmental accounting in real-time, supported by cloud systems and interfaces accessible to accounting professionals. Although testing was limited to indoor conditions and a small sample size, the system shows potential for wider adoption. Future research may include sensor expansion, blockchain integration, mobile access, and AI-based forecasting. The Smart Eco Ledger contributes to sustainable accounting practices and demonstrates a practical solution for organizations committed to environmental responsibility and digital transformation.
Assessing Students' Critical Thinking Skills in Terms of Cognitive Style: A Study of the Application of the Inquiry Collaborative Based V-Lab Model in Programming Courses Susanti, Wilda; Nasution, Torkis; Tendra, Gusrio; Simeru, Arden; Yuliendi, Rangga Ramadian
Journal of Applied Business and Technology Vol. 5 No. 2 (2024): Journal of Applied Business and Technology
Publisher : Institut Bisnis dan Teknologi Pelita Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35145/jabt.v5i2.165

Abstract

This study explored the assessment of students' critical thinking skills in programming courses by considering individual cognitive styles. We apply the inquiry collaborative-based V-Lab model as a learning approach, allowing students to participate in virtual experiments and interactive simulations. This approach is applied to a programming class, taking into account the student's cognitive style as the determining factor. We use measurement methods that include solution analysis, problem-solving, and critical thinking of students. The results showed that the V-Lab model based on collaborative inquiry was effective in improving students' critical thinking skills, with variations in its effect depending on the individual's cognitive style. The implications of these findings are presented for the development of more adaptive and effective learning approaches in programming courses, as well as for further research into the interaction between cognitive styles and technology-based learning.
Big Data Analytics for Demand Forecasting in the Mushroom Supply Chain Renaldo, Nicholas; Veronica, Kristy; Junaedi, Achmad Tavip; Suhardjo, Suhardjo; Tanjung, Amries Rusli; Indrastuti, Sri; Susanti, Wilda; Koto, Jaswar; Musa, Sulaiman; Wahid, Nabila
Luxury: Landscape of Business Administration Vol. 4 No. 1 (2026): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v4i1.138

Abstract

The mushroom industry plays an increasingly important role in the agri-food sector due to rising demand for nutritious, functional, and sustainable food products. However, the mushroom supply chain faces significant challenges related to perishability, short shelf life, and demand uncertainty, which often result in inventory losses and inefficiencies. This study examines the role of big data analytics capability in enhancing demand forecasting accuracy and its impact on supply chain performance within the mushroom industry. Using a quantitative explanatory research design, data were collected through a structured questionnaire survey of mushroom supply chain actors, including producers, processors, distributors, and retailers. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that big data analytics capability has a significant positive effect on demand forecasting accuracy and supply chain performance. Furthermore, demand forecasting accuracy partially mediates the relationship between big data analytics capability and supply chain performance. These findings highlight the strategic importance of data-driven forecasting in managing demand uncertainty and improving operational efficiency in perishable agribusiness supply chains. This study contributes to the literature by extending big data analytics and demand forecasting research to the mushroom industry, providing both theoretical insights and practical implications for enhancing supply chain sustainability and competitiveness.
Creating Business Value through IoT-Based Waste Management Web Dashboard Susanti, Wilda; Renaldo, Nicholas; Junaedi, Achmad Tavip; Mukhsin, Mukhsin; Johan, Johan; Marlim, Yulvia Nora; Tendra, Gusrio; Kurniawan, Wahyu Joni; Azim, Fauzan
Luxury: Landscape of Business Administration Vol. 4 No. 1 (2026): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v4i1.139

Abstract

The rapid growth of urbanization and industrial activities has increased the complexity of waste management operations within business organizations, leading to rising costs and managerial challenges. While the Internet of Things (IoT) has enabled real-time data collection in waste management, business value creation depends on how such data are integrated into managerial information systems. This study aims to develop and evaluate an IoT-based waste management web dashboard that supports operational monitoring and managerial decision-making to create business value. Using a Design Science Research (DSR) methodology, this study designs an integrated system that collects real-time waste volume data through IoT-enabled sensors and presents the information via a centralized web dashboard. The system is evaluated using a mixed approach combining operational performance indicators and user perceptions based on Information Systems Success Theory. The results indicate improvements in operational efficiency, resource allocation, and decision-making quality following system implementation. The findings demonstrate that the proposed web dashboard functions as a strategic managerial information system rather than a purely technical solution. By enhancing information quality and managerial control, the system contributes to business value creation through improved operational performance and supports digital transformation and sustainability-oriented business practices. This study contributes to the business and management literature by shifting the focus of IoT-based waste management research from technical performance to managerial relevance and value creation.