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PERANCANGAN PEMILAH SAMPAH OTOMATIS DENGAN PENERAPAN SISTEM IOT (INTERNET OF THINGS) Putra, Bhagas Novanda; Maghfurah, Fadwah; Effendi, Riki
Prosiding Semnastek PROSIDING SEMNASTEK 2024
Publisher : Universitas Muhammadiyah Jakarta

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

Abstract

Dalam perancangan konstruksi manufaktur sistem pemilahan sampah otomatis dengan IoT, perlu diperhatikan kebutuhan efisiensi pemilahan sampah untuk menghindari pencemaran lingkungan dan kesulitan daur ulang. Masalah utama melibatkan desain mesin yang kuat, tahan korosi, panas, dan hujan, serta mampu merecyle sampah plastik. Penelitian ini bertujuan merancang alat pemilah sampah yang ringan dengan varian dua jenis sampah yang diujikan botol plastik dan bungkus plastik, dengan desain pisau pencacah khusus sampah plastik sehingga bisa di recycle. Metode penelitian yang digunakan adalah mendesain rancang bangun menggunakan aplikasi solidworks 2019, merencanakan penggunaan komponen transmisi, mur, baut dan roda pada alat pemilah sampah serta melakukan uji fungsi pada alat pemilah dan pencacah sampah. Berdasarkan hasil penelitian ini pada Manufaktur Sistem Pemilah Sampah Otomatis berbasis IoT menunjukkan beberapa kesimpulan signifikan. Desain struktur dan material sistem mampu menahan beban 33,7 kg dengan dimensi panjang 1000 mm dan lebar 320 mm. Pisau memiliki kecepatan 522,81 m/min. Transmisi memerlukan torsi 153.86 Nm dan sensor IoT menunjukkan tegangan geser sekitar 1575.92 kg/m². Perhitungan luas penampang luar dan dalam dirakit menggunakan mur dan baut. Kecepatan linier roda adalah 87.96 cm/detik. Desain tahan korosi, panas, dan hujan menegaskan ketangguhan alat dalam berbagai kondisi lingkungan. Kombinasi portabilitas, desain modern, dan kapasitas 5 kg menunjukkan solusi efisien dan estetis.Kata kunci: Pemilah Pencacah Sampah, IoT, 5 kg, Perancangan
The implementation of innovative IoT models in machine failure detection and risk mitigation Hendra, Franka; Effendi, Riki; Supriyono
Journal of Energy, Mechanical, Material, and Manufacturing Engineering Vol. 9 No. 2 (2024)
Publisher : University of Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/jemmme.v9i2.34121

Abstract

In the era of Industry 4.0, the integration of advanced technologies like the Internet of Things (IoT) into risk-based maintenance planning systems has become crucial for optimizing operational efficiency. This research explores methods to enhance maintenance decision-making by integrating real-time IoT data with risk-based maintenance models. Traditional risk-based maintenance often relies on historical data, which can be insufficient for responding to dynamic operational conditions. By leveraging IoT's ability to collect continuous, real-time data, this study aims to improve the accuracy and responsiveness of maintenance strategies. The research employs a systematic methodology, including data collection through IoT sensors, data preprocessing, and the development of predictive models using machine learning techniques such as Random Forest and Neural Networks. The results indicate that IoT integration reduces downtime by predicting equipment failures with higher accuracy, leading to a 30% reduction in maintenance costs and a 25% increase in productivity. This study demonstrates the significant potential of IoT in transforming maintenance strategies from reactive to proactive, ultimately enhancing equipment reliability and extending operational lifespan.
Power Optimisation of Centrifugal Pumps in a 4-Storey Building Effendi, Riki; Rijal Siswanto, Ahmad; Qadri, Munzir; Hendra, Franka; Yunus Nasution, Ahmad
DINAMIS Vol. 13 No. 1 (2025): Dinamis
Publisher : Talenta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32734/dinamis.v13i1.18837

Abstract

The optimization of water distribution systems in high-rise buildings is essential for enhancing energy efficiency and reducing operational costs. This study examines the effects of implementing a Variable Frequency Drive (VFD) on a centrifugal pump system within a four-storey high-rise building at PT SBA. A case study approach was employed to measure key operational parameters—namely, electrical power consumption, water flow rate, and pressure distribution—both before and after VFD installation. The experimental results demonstrate that the VFD application resulted in a 20% reduction in power consumption, decreasing from 3.5 kW to 2.8 kW, while the water flow rate improved by 12.5%, rising from 80 LPM to 90 LPM. In addition, the pressure range was significantly stabilized, narrowing from 1.2–2.5 bar to 1.0–2.0 bar across the building’s floors. An economic analysis based on the observed energy savings indicates an annual cost reduction of approximately Rp7,665,000, with a corresponding return on investment achieved in less than one year. The findings suggest that integrating VFD technology into centrifugal pump systems not only enhances operational efficiency and extends equipment lifespan by mitigating load fluctuations but also offers substantial economic benefits. This study provides a robust framework for the broader application of VFD-based optimization strategies in high-rise and industrial water distribution systems.
LINE BALANCING ANALYSIS BY USED RANK POSITIONAL WEIGHT (RPW) (CASE STUDY: PART BODY S11038Z PROCESS) Supriyono, Supriyono; Suryanto, Dwi; Hendra, Franka; Effendi, Riki
SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Vol. 14 No. 2 (2020): SINTEK JURNAL
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/sintek.14.2.123-129

Abstract

The purpose of this paper is to determine the number of proposed work stations based on Rank Positional Weight and to find out the results of the comparison between the initial work station conditions and the proposed work station conditions. The method used in optimizing Line Balancing is the Rank Positional Weight (RPW) method by calculating the amount of processing time, Balance Delay, Smoothness Index, the largest track efficiency, and station efficiency. The results of the comparison between the initial work station conditions and the proposed work station conditions using the RPW method in the total production process time of the S11038Z section from the initial conditions of 1060.23 seconds after analysis using the RPW method obtained a shorter processing time of 970.23 seconds or reduced by 90 seconds. The balance delay in the initial condition was 67.6% with the RPW method, the result was that the balance delay was better, namely 62.9%. The smoothness index in the initial conditions is 1059.79 to 857.88. The tracking efficiency increased by 4.7%, from 32.4% to 37.1%. The efficiency of the biggest workstations also increased, from 489 seconds to 399 seconds.
MEASUREMENT OF EFFICIENCY UTILIZATION OF OIL PALM SOLID WASTE TO REDUCE FUEL IMPORT LEVELS IN INDONESIA Hendra, Franka; TH, Estiningsih; Effendi, Riki
SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Vol. 15 No. 1 (2021): SINTEK JURNAL
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/sintek.15.1.51-58

Abstract

Indonesia is one of the countries that have a fairly high level of consumption of fuel oil (BBM), based on data from BPH Migas (2018) throughout 2018 which reached 75 million kiloliters or an average of 1.6 million kiloliters per day. The consumption includes 16.2 million kiloliters of certain types of fuel (JBT), special types of fuel for assignment (JBKP), and general types of fuel around 51.3 kiloliters. The data is growing this study aims to measure the efficiency of reducing imports of fuel oil by utilizing solid waste of palm oil and to make proposals for the formulation of planning scenarios to optimize the functions of the Indonesian palm oil downstream industry. This research method combines quantitative and qualitative methods using the concept of efficiency and the Scenario Planning model. The method used in this paper is to calculate the level of efficiency using quantitative data on oil palm based on the amount of plantation area and the solid waste it produces. Then a mapping of the downstream palm oil industry will be carried out by reviewing the results of previous research as well as data and information obtained from accurate sources. The result is that by optimizing the utilization of palm oil solid waste, 7.4 billion liters of bioethanol can be obtained which can be used to produce biofuels to reduce the level of imports of fuel oil in Indonesia.
PLANNING AND MANUFACTURING OF TRANSMISSION OF CORN COB COUNTING EQUIPMENT USING 1 HP ELECTRIC MOTOR WITH A CAPACITY OF 2 KG PER 5 MINUTES Nasution, Ahmad Yunus; Effendi, Riki; Najamudin, Muhammad
SINTEK JURNAL: Jurnal Ilmiah Teknik Mesin Vol. 15 No. 2 (2021): SINTEK JURNAL
Publisher : Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/sintek.15.2.107-111

Abstract

Corn cobs are a cultural problem in the NTB region because they are very influential at post-harvest harvesting. Poor handling of post-harvest corn cobs is a very serious problem in the area. Where corn cobs are only used by the community in general, making corn cobs as a mosquito repellent, by burning corn cobs. Corn cobs are corn residues resulting from shelling seeds which contain potential compounds that can be biologically transformed into other compounds, namely lignin, cellulose and hemicellulose. For example, making corn cobs chopper as a tool in handling post-harvest results. The purpose of this plan is to produce an efficient corn cob chopping machine so that it is useful for the community in NTB. The results of observations from the previous tool and processing data will be used to make the design size of the corncob chopper according to the real conditions of the previous tool. The results of the calculation of the transmission system of the corn cob chopper showed that the rotation of the electric motor was 1 HP = 1400 rpm, the shaft diameter was 20 mm, the seat belt used type A with a length of 828.4 mm. The materials used in this corncob chopping knife are as follows: knife = stainless steel material, bearing = cast iron, vant belt = rubber, pulley = aluminum, shaft = S35C-D. From the results of testing the corn cob chopper, 2 kg was obtained in 5 minutes.
Mitigating operational risks and enhancing machine performance through total productive maintenance and OEE: a case study on packaging equipment Ruspendi, Ruspendi; Rusmalah, Rusmalah; Hendra, Franka; Effendi, Riki
Jurnal Polimesin Vol 23, No 5 (2025): October
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i5.7469

Abstract

This study evaluates the effectiveness of a laser marking machine in an instant noodle packaging line using a Total Productive Maintenance (TPM) framework and Overall Equipment Effectiveness (OEE) metrics over a 12‑month period. A mixed‑method design combined direct observation, semi‑structured interviews with operators and technicians, and a literature review to assess availability, performance efficiency, and quality rate. The machine achieved excellent availability, averaging 98.95%, reflecting the impact of preventive maintenance in reducing unplanned downtime. Performance efficiency varied substantially, ranging from 59.13% to 93.27%, indicating significant headroom for productivity improvement through cycle‑time stabilization and minor‑stoppage reduction. The quality rate averaged 89.21% and remained relatively stable, though still short of ideal benchmarks, suggesting the need for tighter in‑process quality control. The monthly OEE peaked at 84.77% in April, approaching the JIPM benchmark of 85%, while the period average was 60.38%, underscoring the need for sustained improvement initiatives. Among the three components, performance efficiency exerted the greatest influence on OEE due to its high variability across months.
Implementing Statistical Process Control (SPC) In The Transformation of Trimming II Process Indriyati K, Retno; Hendra, Franka; Effendi, Riki; Sirait, Morhan; Hutasoit, Jisman; Alviansyah, Dede
Suara Teknik : Jurnal Ilmiah Vol 14 No 2 (2023): Suara Teknik: Jurnal Ilmiah
Publisher : Fakultas Teknik UM Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29406/stek.v14i2.5752

Abstract

The The main objective of this study is to analyze the implementation of quality control in the process, types of defects, and factors that cause defects in the Trimming II process and improve product quality. The method used is the Statistical Process Control (SPC) method with control aids (cheeksheet, Pareto diagram, histogram, cause and effect diagram, and control chart, scatter. The results of the study using the seven tools method found 4 types of defects in the Trimming II process defects such as scratched rear panels, crooked cross shaft frame, blower unfunction, and loose horn bracket bolts. The results of histogram diagram analysis for the highest type of defect are bolt bracket horn types the horn bracket bolts) are loose by 548. The results of the analysis of the Pareto diagram for the type of defect of the horn bracket bolts are loose by 34.6%. meaning it is still not under control. Based on the cause effect diagram and the causative factors of the type ca loose horn bracket bolts analyzed using the 5W+1H method, namely fatigue and inaccuracy at work, employee experience and understanding, dirty smelly material, difference in bolt size, disturbing noise, dusty production line conditions, hot production line temperature conditions.
Development of a self-driving RC car with lane-keeping system using a pure pursuit controller Rahman, Aulia; Alhamdi, Muhammad Jurej; Muchtar, Kahlil; Nurdin, Yudha; Roslidar, Roslidar; Razali, Safrizal; Effendi, Riki
Jurnal Polimesin Vol 23, No 4 (2025): August
Publisher : Politeknik Negeri Lhokseumawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30811/jpl.v23i4.6664

Abstract

The development of autonomous vehicles is crucial for enhancing driving safety, comfort, and efficiency. This research presents the design of a self-driving Remote Controlled (RC) car at a 1:10 scale, equipped with a lane-keeping system and a pure pursuit controller. The primary objective is to evaluate the effectiveness of integrating computer vision techniques with trajectory tracking control to maintain lane stability. Lane detection was achieved using a sliding windows algorithm, while polynomial fitting estimated the lane centerline. A stereo camera provided spatial perception, capturing images that were processed to determine the steering angle needed to minimize deviation between the lookahead point and the viewpoint of the vehicle. Experimental results show that the system-maintained lane position with minimal deviation, achieving an average steering angle of 90.44° on straight paths, 65.4° on right turns, and 113.1° on left turns. These results demonstrate the feasibility of combining vision-based lane detection with a pure pursuit controller to improve path-tracking accuracy and stability in autonomous vehicles.