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All Journal Jurnal Online Mahasiswa (JOM) Bidang Teknik dan Sains Jurnal Pengabdian UntukMu NegeRI Jurnal Rekayasa Material, Manufaktur & Energi Journal TEPAT: Teknologi Terapan untuk Pengabdian Masyarakat International Journal of Social Science and Business GERVASI: Jurnal Pengabdian kepada Masyarakat JTTM: Jurnal Terapan Teknik Mesin Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse) Journal of Applied Business and Technology PROCEEDING OF INTERNATIONAL CONFERENCE ON BUSINESS MANAGEMENT AND ACCOUNTING Luxury: Landscape of Business Administration Interconnection: An Economic Perspective Horizon Proksima Leuser Journal of Environmental Studies Prosiding SNTTM
M Dalil
Universitas Riau
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Chemical Engineering, Chemistry & Bioengineering 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 Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Mechanical Engineering Public Health Social Sciences Other

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Steady State of Anaerobic Hybrid Bioreactor with Acidogenesis Phase for Biohydrogen Production from Palm Oil Mill Wastewater Adrianto Ahmad; David Andrio; M Dalil; Amir Hamzah
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 70 No 1 (2026): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v70i1.583

Abstract

The utilization of industrial waste as an alternative energy source, such as Palm Oil Mill Effluent (POME), represents a promising approach, as it has a high potential to be converted into energy while simultaneously reducing environmental pollution. This research aims to achieve a steady state condition, so that it can be operated continuously using a pilot scale acidogenesis phase anaerobic hybrid bioreactor with a capacity of 12.5 L. This study employed a 12.5 L laboratory reactor operated at a controlled 24-hour Hydraulic Retention Time (HRT) to realistically represent the interactions and operating conditions commonly encountered in practical environmental systems. The results of the study showed that the seeding and acclimatization process lasted for 16 days and the start-up stage lasted for 71 days until the steady state of anaerobic hybrid bioreactor was achieved with pH conditions of 7. The Chemical Oxygen Demand (COD) loading rate was 2,240 mg/L-hour, COD concentration of 3,750 mg/L, alkalinity concentration of 1,920 mg/L, the Volatile Fatty Acids (VFA) concentration of 589 mg/L. The Total Solids (TS) concentration was 30,800mg/L and Total Suspended Solids (TSS) concentration of 9,400mg/L. The Total Volatile Solids (TVS) concentration was 24,100mg/L, the Volatile Suspended Solids (VSS) concentration of 3,100mg/L and biogas production of 1.8 L/hour. The steady state of the acidogenesis phase anaerobic hybrid bioreactor with a hydraulic retention time of 1 day can obtain a COD removal efficiency of 93.3% with a VFA/Alkalinity ratio of 0.3.
Effectiveness of Telemetry Monitoring and Automatic Control Systems for Chicken Coops Based on IoT Ulfa Hasnita; Heru Pranoto; Harris Aminuddin; M. Dalil; Dodi Sofyan Arief
Journal of Ocean, Mechanical and Aerospace -science and engineering- Vol 70 No 1 (2026): Journal of Ocean, Mechanical and Aerospace -science and engineering- (JOMAse)
Publisher : International Society of Ocean, Mechanical and Aerospace -scientists and engineers- (ISOMAse)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36842/jomase.v70i1.596

Abstract

The management of environmental factors such as temperature, humidity, and ammonia levels are critical to the health and productivity of broiler chickens. Yet, many farmers still rely on manual monitoring, which is inefficient and prone to human error. Therefore, adopting the IoT-based telemetry systems can enhance monitoring accuracy and efficiency in poultry farming. This article evaluates the effectiveness of Internet of Things (IoT)-based telemetry systems in automating and monitoring poultry environments. By integrating various microcontrollers such as Arduino, NodeMCU ESP32 and Wemos D1 Mini with advanced sensors (DHT11/22, MQ-13 and ultrasonic sensors), these systems provide real-time data visualisation and automatic actuator control. Research methods include the waterfall development model, which involves prototyping models, utilising control logics like threshold, fuzzy tsukamoto, and Gaussian Naive Bayes. Results indicate the IoT implementation can maintain the coop's microclimate within ideal ranges (28°C–34°C for temperature), reduce energy consumption by up to 25%, and significantly lower mortality rates by maintaining ammonia levels below 20 ppm. The integration of telemetry via web dashboards, Blynk, and Telegram allows farmers to monitor and control their livestock remotely, enhancing operational efficiency and productivity.
Sustainable Biohydrogen Production from Palm Oil Mill Effluent: Effect of Hydraulic Retention Time in a Hybrid Anaerobic System Adrianto Ahmad; Evelyn Evelyn; David Andrio; Dini Avriliani; M. Dalil; Amir Hamzah
Leuser Journal of Environmental Studies Vol. 4 No. 1 (2026): April 2026
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/ljes.v4i1.379

Abstract

Currently, the world is facing two crises: a shortage of fossil fuels and global climate change. Climate change is linked to increased environmental damage from fossil fuel use and the effects of greenhouse gases. Therefore, it is important to achieve breakthroughs to develop alternative energy sources that can replace fossil fuels. One of these is biohydrogen, which plays an important role in future energy because it is environmentally friendly, renewable, and sustainable. In addition, Indonesia is the world's largest producer of palm oil, which naturally generates liquid waste. Using palm oil mill liquid waste to produce biohydrogen via an anaerobic hybrid bioreactor during the acidogenesis phase is the best solution to address environmental impacts while simultaneously providing a clean energy source. This research aims to produce biohydrogen from palm oil mill liquid waste. This was done using an anaerobic hybrid bioreactor during the acidogenesis phase, with hydraulic retention times of 6, 12, and 18 hours. The research results show that the best hydraulic retention time is 18 hours, with a VSS removal efficiency of 98% and biogas production of 5.0 L/day, yielding 64% biohydrogen.
Community Empowerment and Papaya Sauce Mixing Machine Grant in Tuah Madani Village, Tuah Madani District, Pekanbaru City Ari Andriyas Puji; Efi Afrizal; M. Dalil; Dodi Sofyan Arief; Romy .; Iwan Kurniawan; Anggraini Dwi Saputri; Edy Fitra; Doni Saputra; Wasilah .; M. Hanif Aprilyansah; Ahmad Romadani
JURNAL TEPAT : Teknologi Terapan untuk Pengabdian Masyarakat Vol 9 No 1 (2026): Environmental-based Awareness for Agile Community Strength
Publisher : Faculty of Engineering UNHAS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25042/jurnal_tepat.v9i1.653

Abstract

This research aims to improve production efficiency and product quality in the papaya sauce processing SMEs in Tuah Madani Village, Pekanbaru City, through the provision of an efficient papaya sauce mixer machine grant. These SMEs face challenges in the production process, still relying on manual methods, which lead to inconsistencies in product quality and low production capacity. This community service activity consists of two stages: socialization and the implementation of the papaya sauce mixer machine. The results of the socialization show an increase in participants' understanding of the machine technology, as measured through pre-test questionnaires. The average response indicated that 78% of the community agreed that the SMEs faced challenges such as reliance on manual stirring, limited knowledge of machines, inconsistent product quality, and difficulty in increasing production capacity. The post-test results revealed that 92% of the community agreed that the SMEs are now using a more efficient papaya sauce mixer machine, reducing dependence on manual labor, speeding up the production process, increasing both capacity and product quality, and receiving training on how to operate and maintain the machine effectively. Through the application of this technology, it is expected that the SMEs in Tuah Madani can enhance their product competitiveness, increase production capacity, and strengthen economic resilience amidst increasingly intense market competition. This technology is also expected to boost the economic activities of SMEs in a more effective and efficient manner.
Stakeholders’ Perspectives on Banking Support and Digital Accounting Adoption in the Palm Oil Industry Harry Patuan Panjaitan; Nicholas Renaldo; Achmad Tavip Junaedi; Nyoto Nyoto; Jahrizal Jahrizal; M Dalil; Dodi Sofyan Arief; Fifi Puspita; Rebecca La Volla Nyoto; Kristy Veronica
Luxury: Landscape of Business Administration Vol. 3 No. 2 (2025): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v3i2.135

Abstract

This study aims to investigate how stakeholders, including palm oil enterprises, smallholder cooperatives, banking institutions, and regulators, perceive the role of banking support in facilitating or hindering the adoption of digital accounting systems. This study employs a qualitative exploratory design to capture the diverse perspectives of stakeholders on the role of banking support in facilitating digital accounting adoption within the palm oil industry. A purposive sampling strategy will be employed to ensure participants possess direct experience with either banking support or digital accounting adoption. Data will be analyzed using thematic analysis. Interview transcripts, focus group notes, and documents will be coded inductively and deductively, guided by the research questions. The findings reveal that banks are not merely providers of financial capital but also act as institutional gatekeepers that shape reporting practices and encourage digital transformation. Larger enterprises view digital accounting as a strategic tool for efficiency and compliance, while smallholders often see it as a burdensome requirement.
Smart Processing Machines and Business Efficiency in Goat Milk Agro-Enterprises Achmad Tavip Junaedi; Harry Patuan Panjaitan; Nicholas Renaldo; Nyoto Nyoto; Jahrizal Jahrizal; M Dalil; Jaswar Koto; Sulaiman Musa; Nabila Wahid; Kristy Veronica; Umar Faruq
Luxury: Landscape of Business Administration Vol. 3 No. 2 (2025): Luxury: Landscape of Business Administration
Publisher : First Ciera Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61230/luxury.v3i2.137

Abstract

The increasing demand for functional and health-oriented dairy products has positioned goat milk agro-enterprises as a promising business sector, particularly in emerging economies. Despite this potential, many goat milk businesses face persistent challenges related to production inefficiency, high operational costs, and limited scalability. This study aims to examine the impact of smart processing machines on business efficiency in goat milk agro-enterprises. Using a quantitative approach, data were collected from small and medium-sized goat milk processing enterprises and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results reveal that smart processing machine adoption has a positive and significant effect on business efficiency, including cost efficiency, productivity, and operational effectiveness. The findings indicate that smart processing machines function not merely as technological tools but as strategic business resources that enhance operational performance and competitiveness. This study contributes to the business and agribusiness literature by providing empirical evidence at the production-machine level and highlighting the strategic value of smart manufacturing technologies in small-scale agro-enterprises. The findings offer practical insights for business owners, policymakers, and technology developers in promoting sustainable and efficient goat milk processing businesses.
The effect of thread depth on the fatigue strength of AISI 4140 bolt material as a retainer and fastener for a screw conveyor M Dalil
Prosiding SNTTM Vol 23 No 1 (2025): SNTTM XXIII October 2025
Publisher : BKS-TM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71452/x44rv532

Abstract

The bolts used to retainer and fasten the shaft of the screw conveyor, which functions to transport wood chips to the cooking process in paper manufacturing, have experienced failure. The failure occurred in the form of a perpendicular fracture on the threaded section of the bolt. This damage significantly disrupts wood processing operations, making it important to investigate the causes. The causes of bolt fracture and its short service life were analyzed by studying the effect of thread pitch variations of 2.5 mm and 2 mm. The materials tested were Valmet (VME) and Valmet (VMC), which are equivalent to AISI 4140. The fatigue test was conducted using a cantilever rotating bending method with the test specimens according to ASTM E466M standards. The results showed that to achieve infinite life, the stress level must be below 95 MPa. Thread pitch has a significant effect: VME bolts with a thread pitch of 2 mm showed a 17% longer endurance than bolts pitch of 2.5 mm, while VMC bolts with a thread pitch of 2 mm had a 15% longer endurance than bolts pitch of 2.5 mm. Furthermore, VME bolts showed 11% higher fatigue endurance than VMC bolts. The endurance of VMC bolts decreases due to the presence of more cracks and voids in the VMC material. This defect is related to the lower chromium (Cr) content in VMC.  cracks and voids is exacerbated by the heat treatment, which reduces the effectiveness of alloying elements in delaying crack formation on the surface.
INOVASI AROMA SMART DISTILLER DALAM MENDUKUNG KEMANDIRIAN EKONOMI MASYARAKAT BERBASIS SUMBER DAYA LOKAL Achmad Tavip Junaedi; Wilda Susanti; Nicholas Renaldo; Jahrizal Jahrizal; M. Dalil
GERVASI: Jurnal Pengabdian kepada Masyarakat Vol. 10 No. 2 (2026): GERVASI: Jurnal Pengabdian Kepada Masyarakat
Publisher : LPPM IKIP PGRI Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31571/gervasi.v10i2.11064

Abstract

Minyak sereh merupakan komoditas minyak atsiri bernilai ekonomi tinggi yang berpotensi menjadi produk unggulan berbasis sumber daya lokal. Namun, proses penyulingan yang masih dilakukan secara konvensional menyebabkan efisiensi produksi rendah, konsumsi energi tinggi, serta kualitas minyak yang dihasilkan belum konsisten. Kegiatan pengabdian kepada masyarakat ini bertujuan meningkatkan pemahaman masyarakat mengenai inovasi Aroma Smart Distiller sebagai teknologi penyulingan yang lebih efisien dan berkelanjutan. Metode pelaksanaan meliputi observasi, sosialisasi, dan diskusi partisipatif bersama UMKM Bunda Pat penyuling minyak sereh di Nagari Talaweh. Evaluasi menunjukkan peningkatan pengetahuan peserta pada seluruh indikator, dengan nilai rata-rata pre-test sebesar 56 meningkat menjadi 84 pada post-test atau naik 28 poin (50%). Hasil tersebut menunjukkan bahwa sosialisasi Aroma Smart Distiller efektif meningkatkan pemahaman masyarakat mengenai proses penyulingan, kualitas minyak atsiri, serta pemanfaatan teknologi untuk meningkatkan nilai tambah produk. Inovasi ini diharapkan mendukung penguatan ekonomi lokal melalui peningkatan daya saing minyak sereh secara berkelanjutan.
AI-Based Digital Twin Development for Optimizing Hydrogen Production, Distribution, and Business Profitability Nicholas Renaldo; Jaswar Koto; M. Dalil; Dodi Sofyan Arief; Sulaiman Musa; Nindy Daviny; Cecilia Cecilia; Kristy Veronica
Journal of Applied Business and Technology Vol. 7 No. 1 (2026): Jounal 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/s04p2v22

Abstract

The transition toward a low-carbon energy system has increased interest in green hydrogen as an energy carrier for renewable energy integration, industrial applications, and sustainable transportation. However, the economic competitiveness of hydrogen remains constrained by the complexity of coordinating renewable-energy availability, electrolyzer operation, hydrogen storage, distribution, market demand, and profitability. This study proposes an AI-Based Hydrogen Business Digital Twin (HBDT) to optimize hydrogen production, distribution, and business profitability through an integrated digital decision-making framework. The research employs a simulation-based development approach that combines Digital Twin technology, Artificial Intelligence, predictive analytics, multi-objective optimization, and techno-economic analysis. Several machine-learning models, including Random Forest, Support Vector Regression, XGBoost, Artificial Neural Network, and Long Short-Term Memory (LSTM), are evaluated for predictive performance. The simulation results indicate that LSTM provides the strongest performance, achieving an MAE of 0.041, RMSE of 0.068, and R2 of 0.981. Scenario analysis demonstrates that profitability increases from 12.5% under fixed production and distribution to 32.4% under the integrated AI, Digital Twin, and optimization scenario. The techno-economic simulation further indicates reductions in hydrogen production cost, levelized cost of hydrogen, and distribution costs, accompanied by improvements in renewable-energy utilization, revenue, ROI, and payback period. These findings demonstrate that the proposed HBDT can transform hydrogen management from a static and reactive process into a predictive, prescriptive, and potentially autonomous business ecosystem. The study contributes to the emerging concept of Hydrogen Business 4.0, in which technical operations and economic decisions are continuously optimized through AI and Digital Twin technologies.
Digital Transformation of Goat Milk Supply Chains through an Integrated Smart Cold-Chain Logistics System Nyoto Nyoto; Nicholas Renaldo; Jahrizal Jahrizal; Azridjal Aziz; M. Dalil; Achmad Tavip Junaedi; Yusrizal Yusrizal; Alyauma Hajjah; Sulaiman Musa; Cecilia Cecilia
Journal of Applied Business and Technology Vol. 7 No. 2 (2026): Jounal 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/re8a7652

Abstract

The rapid digital transformation of agribusiness has created significant opportunities to improve supply chain efficiency, product quality, and operational sustainability through the integration of smart technologies. However, goat milk supply chains continue to face challenges associated with short product shelf life, inadequate cold-chain infrastructure, limited distribution visibility, and high logistics costs, particularly among small and medium-sized enterprises (SMEs). This study aims to develop and evaluate an Integrated Smart Cold-Chain Goat Milk Logistics System (SCGLMS) as a digital transformation model for goat milk supply chains. A Design Science Research (DSR) methodology was employed, consisting of problem identification, system design, prototype development, pilot implementation, and system evaluation. The proposed SCGLMS integrates four interconnected layers: smart milk processing, intelligent packaging, IoT-enabled cold-chain logistics, and a cloud-based digital management platform that provides real-time monitoring, digital traceability, and logistics analytics. The findings demonstrate that the integrated system significantly improves supply chain visibility, operational coordination, and decision-making by enabling continuous monitoring of temperature, humidity, shipment status, and product quality throughout distribution. The system also enhances logistics efficiency, minimizes product spoilage, extends market accessibility, and strengthens customer confidence through improved transparency and traceability. This study contributes to the literature on digital supply chain management by proposing a comprehensive technological framework specifically designed for goat milk logistics. Furthermore, it provides practical guidance for SMEs, agribusiness practitioners, and policymakers seeking to accelerate digital transformation and sustainable supply chain development within the dairy industry.
Co-Authors Abdul Khair Junaidi Abdurrahaman, Ridwan Achmad Jusuf Zulfikar Achmad Tavip Junaedi Adhy Prayitno Adrianto Ahmad Adrianto Ahmad Afrizal, Efi Agus Reforiandi Agus Surya Permana Ahmad Romadani Alvi Hidayat Alyauma Hajjah Amir Hamzah Amir Hamzah Amries Rusli Tanjung Anggraini Dwi Saputri Anita Susilawati Anjananda Vitodi Ari Andriyas Puji Azridjal Aziz Bord Nandre Aprila Cecilia Cecilia Cecilia, Cecilia Chaerunissa, Andini David Andrio David Andrio Dedy Masnur, Dedy Desnelita, Yenny Dini Avriliani Dinova, Alfito Dodi Sofyan Arief Dodi Sofyan Arif Doni saputra Doni Saputra Edy Fitra Eko Jadmiko Elgi Oki Andeska Erpiani Siregar Evelyn Evelyn Fifi Puspita Gusrio Tendra Harris Aminuddin Harris Aminuddin Harry Patuan Panjaitan Heru Pranoto Imnadir Imnadir Imnadir, Imnadir Indra Hermawan Iwan Kurniawan Iwan Kurniawan Jahrizal Jamil Haron, Surhan Jaswar Koto Jhenris Ivanly Joko Joko Kana Sabatul Ikhwan Kana Sabatul Ikhwan, Kana Sabatul Koto, Jaswar Kristy Veronica Kusuma, Andi Arief Latif Kuncoro Wasmi Apris M. Hanif Aprilyansah M.Y. Yuhazri Marice Br Hutahuruk Marice Br Hutahuruk Marlim, Yulvia Nora Mhd Irvan Irwana Muftil Badri Muhammad Idris Musa, Sulaiman Nabila Wahid Nicholas Renaldo Nindy Daviny Nofrizal Nofrizal Nyoto Rahman, Sarli Rebecca La Volla Nyoto Romy . Rudi Z.A Sari, Azzaharah Isyari Nuraini Sihotang, Samsul Bahri Silaban, Vrengky Roberto Simaskot, Johar Suhardjo Suhardjo Suhardjo Sukemi Indra Saputra Sulaiman Musa Sulaiman Musa Tarigan, Dito Arief Maulana Ulfa Hasnita Umar Faruq Umar Faruq Veronica, Kristy Wahid, Nabila Wasilah . Weriono Wilda Susanti Yusrizal Yusrizal