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PEMANFAATAN ALAT PENGUPAS NANAS DENGAN SISTEM PRESS UNTUK PEDAGANG NANAS MADU DI TANGERANG SELATAN Gunawan, Harjadi; Darmawan, Marten; Soewono, Arka Dwinanda; Basoeki, Prita Dewi; Nahak, Demetrio; Pote, Juan William; Tobing, Sheila
Jurnal Abdimas Bina Bangsa Vol. 6 No. 1 (2025): Jurnal Abdimas Bina Bangsa
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/jabb.v6i1.1678

Abstract

The traditional process of peeling a pineapple using a knife is complex and time-consuming. Therefore, a specialized peeler is needed to increase the productivity of honey pineapple peddlers located in the Cisauk area, South Tangerang. The objective of this service activity is to design a prototype of a pineapple peeler using press technology that can peel pineapples more quickly and efficiently, and produce more precise and uniform cuts. This pineapple peeler consists of a knife ring with a diameter of 11-12 cm. It is also equipped with a spring system with an inner diameter of 30 mm, an outer diameter of 41 mm, and a length of 206 mm which functions as part of the mechanism to automatically return the knife ring and pressing lever to their original position. The knife and spring components are made from food-grade Stainless Steel 316 and 304, rsepectively. The test results show that the prototype peeler can peel honey pineapple measuring 10-12 cm in diameter in an average time of 13.11 seconds. It is hoped that the use of this peeler can help increase the productivity of small pineapple peddlers, as well as reduce their burden and work risks.
Integrasi Plts pada Sistem Kelistrikan untuk Penyediaan Listrik di Desa Tanjung Kelumpang, Belitung Timur (Area Geosite Pantai Punai, Kawasan Geopark Belitung) Suryanti, Irma; Tobing, Sheila
Cylinder : Jurnal Ilmiah Teknik Mesin Vol 10 No 2 (2024): OKTOBER 2024
Publisher : Department of Mechanical Engineering Atma Jaya Catholic University of Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25170/cylinder.v10i2.5647

Abstract

This research was carried out by developing simulation scenario for the integration of solar power plant into the existing electricity system in Tanjung Kelumpang Village (Punai Beach Area, Belitung Geopark Global Network) with an electricity load pattern at the location in the amount of 24.000 kWh/ day using HOMER software. The simulation scenario prepared is integrating solar power plant with 30% of the existing diesel power plant capacity (the diesel power plant capacity entering the system is 540 kW) and the PLN electricity network. The simulation and optimization results show that integrating solar power plant with 30% of the existing diesel power plant capacity and the PLN electricity network produces the most optimal value, with the number of Levelized Cost of Electricity (LCOE) is Rp 1.173/ kWh and Net Present Cost (NPC) is Rp 1.788/ kWh. The integration of solar power plant into the existing electricity system of Tanjung Kelumpang village can be a solution for providing clean, environmentally friendly energy at competitive rates. The development direction of Bangka Belitung Province is currently experiencing a transition from mining based economy to sustainable tourism based economy. The integration of renewable energy generation from solar power plant in geosite area is considered to be able to create multiplier effects to achieve sustainable development goals in tourism sector. A number of methods must be encouraged and accelerated to achieve this, such as policy making, providing infrastructure, increasing human resource competency, cooperation and investment pattern, as well as active community involvement in the process.
Kaji Eksperimental Pengaruh Jumlah dan Interval Pembuluh Sayap Di Arah Chord Terhadap Propulsi Sayap Lentur Putraandari, Fauzan; Tobing, Sheila
Cylinder : Jurnal Ilmiah Teknik Mesin Vol 5 No 1 (2019): APRIL 2019
Publisher : Department of Mechanical Engineering Atma Jaya Catholic University of Indonesia

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

Abstract

Selama dua dekade terakhir, telah banyak studi mengenai manfaat sayap membran lentur terhadap kinerja aerodinamika untuk pengembangan Micro Air Vehicles (MAVs). Studi eksperimental kali ini dilakukan untuk mengeksplorasi manfaat pengaruh profil sayap lentur terhadap kinerja aerodinamika pada bilangan Reynolds sebesar = 50000. Pengujian pengaruh kelenturan sayap dilakukan dengan cara menguji berbagai jumlah dan interval antar pembuluh sayap di arah chord. Pengujian untuk mengetahui kinerja aerodinamika pada setiap variasi profil sayap lentur dilakukan dengan menggunakan terowongan angin. Kinerja aerodinamika dapat diketahui dengan mengukur gaya angkat dan gaya hambat pada setiap variasi profil sayap lentur terhadap berbagai sudut serang. Hasil pengukuran menunjukan bahwa profil sayap dengan distribusi interval tidak seragam, terutama lebih padat di daerah dekatdengan pangkal sayap (root), akan memberikan manfaat kinerja aerodinamika yang signifikan. Pengukuran menunjukan bahwasayap dengan pembuluh yang lebih padat di daerah root dapat meningkatkan leading edge vortices (LEVs) dan membentuk pusaran udara di daerah tepi sayap (tip vortices) yang berguna untuk menyeimbangkan beban aerodinamika pada permukaan sayap atas dan bawah.
Techno-Economic Analysis of Hybrid Systems as a Solution for Electricity Supply during the Dry Season at the Bakaru Run-of-River Hydropower Plant Febri, Zamharir Aditya; Indianto, Mohammad Akita; Tobing, Sheila
Journal of Materials Exploration and Findings Vol. 5, No. 1
Publisher : UI Scholars Hub

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Abstract

Within the South Sulawesi power system (Sulbagsel), the Bakaru Hydro Power Plant serves as a key facility expected to provide consistent and reliable electricity supply. However, since the Bakaru plant operates under a Run of River scheme, its energy output is highly dependent on river discharge rates. In 2024, a significant decrease in water flow was recorded between August and October, which led to a drastic reduction in power generation. To address this challenge, a hybrid energy system is proposed to ensure continuous load coverage, particularly during the dry season. The optimal configuration of this hybrid system was modeled and simulated using HOMER Pro software. The simulation results indicate that a combination of the existing Bakaru Hydro Power Plant 126 MW, Solar PV 100 MWp, BESS of 24 MWh, and a steam-gas power plant 80 MW can effectively fulfill the annual electricity demand. The proposed hybrid system yields a total annual energy output of 862,719.29 MWh, which exceeds the actual load demand by 33.6% (equivalent to 290,164.45 MWh). This energy surplus can be strategically allocated to accommodate seasonal loads or projected demand growth. From an economic standpoint, the configuration demonstrates a Net Present Cost (NPC) of USD 934 million, with Levelized Cost of Electrictricity (LCOE) of USD 0.0583 per kWh. Furthermore, the project displays promising investment viability, achieving an Internal Rate of Return (IRR) of 31.57% and a payback period of four years and a projected Net Present Value (NPV) of USD 715,487,322.
Risk Identification of Green Hydrogen Supply Chain in Ammonia Industry in Indonesia using Delphi and TOPSIS Methods Priatama, Ananda; Tobing, Sheila
Journal of Materials Exploration and Findings Vol. 5, No. 1
Publisher : UI Scholars Hub

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Abstract

The development of green hydrogen in Indonesia, while promising for supporting industrial decarbonization, remains in its early stages and faces various challenges across technical, economic, and regulatory domains. This study aims to identify and prioritize the risks linked to green hydrogen supply chain in Indonesia, particularly for applications in the ammonia industry. A set of 49 potential risk factors was initially compiled through literature review and prior studies. The Delphi method was employed with a panel of experts to validate these risks, ultimately refining the list to 27 critical risk factors. Subsequently, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method was used to quantify and rank these risks based on expert assessments of likelihood and impact. The results indicate that the most significant risks include improper location of facilities, policy and regulation development, access to funding and financial constraints, climate change and renewable energy availability, and political instability. Compared to previous studies in developed countries where technological and infrastructure risks dominate, this study highlights the prominence of policy and governance-related risks in Indonesia. The findings provide critical insights for stakeholders to design targeted mitigation strategies and prioritize actions that will foster a more resilient and investable green hydrogen ecosystem for ammonia industry in the country.
Empowering Digital Literacy through Computational Thinking, AI, and Renewable Energy in a Water-Scarce School Medria Kusuma Dewi Hardhienata; Wulandari Wulandari; Sheila Tobing; Andrew Schauf; Sita Rahmani; Gabriella Lumban Siantar; Hafidlotul Fatimah Ahmad; Auzi Asfarian; Takhta Pandu Padmanagara; Emir Raya Syuhada; Syaefudin Suminto; Iffa Mutmainah
Jurnal Pemberdayaan Masyarakat Vol 5, No 2 (2026)
Publisher : Yayasan Keluarga Guru Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46843/jpm.v5i2.703

Abstract

Ongoing advances in digital technology require teachers to adapt and develop their technological competence continuously. However, a gap in technological understanding remains between teachers in rural and urban areas, particularly in Indonesia. SMA Negeri 1 Sukanagara, as the only public high school in its region, faces challenges related to water scarcity and limited access to energy, which affect both learning activities and the school community's basic needs. This community service program aims to enhance teachers' digital literacy through training in Computational Thinking (CT), Artificial Intelligence (AI), and Renewable Energy prior to the implementation of a smart rainwater-harvesting system at the school. The methods used included a survey, training sessions, and evaluation using a problem-based approach combined with pre-test and post-test assessments. A problem-based learning approach confirmed that the CT training had helped teachers to develop more structured problem-solving skills. Results of the test also show that AI and Renewable Energy training improved participants' understanding by an average of 17.08% and 14.28%, respectively, compared to their initial scores. These improvements demonstrate the potential of training programs like these to enhance teachers' understanding and better prepare them for implementing emerging technologies in schools.