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Pengembangan model perhitungan kompleksitas proses sangrai kopi Indonesia menuju sistem otomatisasi Hendri Dwi Saptioratri Budiono; Mohammad Anindya Fausta; Oka Widiantara Suputra; Trimitra Mahesa Aditya; Rahman Muhamad Zuhuda
Jurnal Teknik Mesin Indonesia Vol. 18 No. 1 (2023): Jurnal Teknik Mesin Indonesia
Publisher : Badan Kerja Sama Teknik Mesin Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36289/jtmi.v18i1.414

Abstract

The process of roasting coffee to obtain consistent coffee bean product quality and in accordance with market preferences is quite complex and requires the expertise of operators who have years of experience. This study aims to present a model for calculating the complexity of the coffee roasting process manufacturing system as a type of measurement tool for a process to assess the existing process and estimate the initial costs at the design stage before increasing in the process of automation of the roasting process. The researcher adapted and developed the complexity calculation model proposed by W. H. El-Maraghy ​​ to the scope of coffee roasting, especially Solok Radjo Arabica and Bengkulu Robusta coffee beans. In this research, the roasting process was carried out with a pre-heating temperature of 160°C with a roasting duration of 16 minutes. Based on this research, the results show that the most important aspects that influence the complexity of roasting coffee beans based on roast level are roast color, mass, and dimensions resulting from the roast profile of coffee beans. In addition, variations in RPM will affect the temperature of the turning point and end point temperature of the beans. The highest complexity index was found in Bengkulu Robusta coffee beans with an RPM of 90 and a dark roast level of 9.9.
Model perhitungan kompleksitas proses sangrai kopi menggunakan biji kopi tradisional Indonesia Budiono, Hendri Dwi Saptioratri; Zuhuda, Rahman Muhamad; Fausta , Mohammad Anindya; Suputra , Oka Widiantara; Aditya , Trimitra Mahesa
Prosiding SNTTM Vol 21 No 1 (2023): SNTTM XXI Oktober 2023
Publisher : BKS-TM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71452/tzpdsy71

Abstract

The manufacturing process involves converting raw materials into usable products, also applicable in other sectors like coffee roasting. Coffee roasting can be considered a manufacturing process as it involves transforming green coffee beans into roasted coffee beans. Coffee roasting defines 20% - 25% of coffee quality, making a variation in process is impactful. Due to various influential parameters, achieving specific bean specifications adds complexity to the process. Indonesia, a major coffee producer, emphasizes research for enhancing coffee quality, specifically for varieties like Arabica Gayo, Arabica Solok Radjo, Robusta Bengkulu, and Robusta Temanggung. Another underlying factor for this research is the lack of studies related to the complex process of coffee roasting. This research uses the model to calculate the complexity of the manufacturing system in the coffee roasting process. This model is used as a tool to assess the existing process. Furthermore, this model simplifies the calculation of the process complexity, and the resulting index can be used to estimate initial costs during the design phase for the roasting process. This research adopts the method by W.H. El Maraghy regarding complexity modeling and applies it to the scope of coffee roasting. Based on the conducted research, the most important aspects that influence the complexity of roasting coffee beans based on the roast level are roast color, mass, and dimensions resulting from the roast profile of coffee beans. Temanggung Robusta coffee beans were found to have the highest complexity index, with an RPM of 90 and a dark roast level of 9.21.
Persalinan nyaman: Konsep tempat tidur otomatis berbasis pemrosesan gambar comfortable childbirth: The concept of an automated bed based on image processing Budiono, Hendri D.S.; Satyajati, Bodhimula
Prosiding SNTTM Vol 22 No 1 (2024): SNTTM XXII Oktober 2024
Publisher : BKS-TM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.71452/590882

Abstract

In Indonesia, the rate of C-section births has increased to 16.4% in 26 years, exceeding the WHO recommendation of 15%, with 25% of these operations performed without medical emergencies. One of the causes is anxiety about labour pain and intrapartum discomfort. Bar-Lung, short for Babar Lungguh, is an  automated birthing table system that supports upright labour. Bar-Lung uses image processing to reconstruct the mother's body geometry from the hips down to obtain the parturient's geometry measurements, then adjusts three main components—Back Lift, Leg Support, and Push Bar—for optimal positioning. Research shows that an upright position can facilitate the pushing process and reduce the durationof the second stage, thereby reducing pain and increasing normal labour. Pregnant women are photographed with a calibrated camera layout and lighting and are shot from the side. The photos are processed to identify key points such as the knees, soles of the feet, and waist, which are then counted in pixels and converted to metric units. The measurement results are used to drive the Bar-Lung, which is equipped with a stable and efficient electric putter actuator. The Back Lift, Leg Support, and Push Bar components can be adjusted automatically or manually for fine tuning, while the Emergency button allows the birthing table position to be reset in case of emergency. The Bar-Lung makes childbirth easier and increases the efficiency of medical personnel, with the potential to reduce the number of Caesarean sections inIndonesia by reducing the duration of labour pain. 
MAINTENANCE STRATEGY REVIEW (MSR) BASED ON ISO 14224:2016 IN INDONESIA OIL AND NATURAL GAS COMPANIES Setyoko, Ajun Tri; Nurcahyo, Rahmat; Adipraja, Aulia Sena; Budiono, Hendri Dwi Saptrioratri
JURNAL STANDARDISASI Vol 26, No 1 (2024)
Publisher : Badan Standardisasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31153/js.v26i1.1013

Abstract

The oil and gas industry is vital for Indonesia, and the safety and effectiveness of work in processing and exploring the oil and gas that operate in Indonesia must comply with existing regulations. This safety and effectiveness are inseparable from how the company maintains the assets and instruments used at the oil and gas production and exploration site. Maintenance of pipes and instruments for production is one of the company's most vital assets. In addition to having appropriate productivity, pipes and instruments must be maintained optimally so that maintenance costs do not exceed the value of the oil and gas production. This study's research subject is a natural gas refinery from an oil and gas company operating in the Madura Strait, East Java, Indonesia. The object of research limited to the company's piping system (pipeline system). This study uses a quantitative assessment using the calculated Mean Time Before Failure (MTBF) method and a qualitative assessment using the asset maintenance standard to  reveals how the maintenance cycle that has been implemented can be optimized. The author carried out a criticality assessment using Maintenance Strategy Review (MSR) to calculate the risk level of asset. This study found that 78 assets must be maintained in their maintenance cycle, two cash assets must be reduced in their maintenance cycle, and seven assets can be extended for their maintenance cycle. The two assets that need to be reduced in maintenance cycles are the shutdown valve asset that goes to the temporary pig receiver and the shutdown valve that goes to the HP flare header. An asset that can be extended its maintenance cycle is a transmitter for flow indicators. 
Optimasi pengurangan massa superstruktur dan hatch cover kapal ikan 5 GT Gerry Liston Putra; Hendri Budiono; Jos Istiyanto
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/mkenzf29

Abstract

Indonesia sebagai salah satu negara kepulauan terbesar memiliki potensi besar di sektor maritim. Pemerintah Indonesia menempatkan industri perkapalan sebagai salah satu sektor prioritas untuk dikembangkan. Industri galangan kapal menghasilkan berbagai produk, termasuk kapal dan bangunan lepas pantai, dengan kapal ikan sebagai salah satu produk utamanya. Kapal ikan berfungsi untuk menangkap sekaligus membawa hasil tangkapan. Sebagian besar kapal ikan tradisional masih terbuat dari kayu yang membutuhkan perawatan tinggi dan biaya besar. Modernisasi kapal ikan dengan penggunaan material seperti baja, aluminium 5083, dan HDPE menjadi penting untuk meningkatkan daya saing nelayan.Penelitian ini mengoptimalkan bagian superstruktur dan fish hold hatch cover pada kapal ikan 5 GT menggunakan metode Finite Element Method (FEM) dan persamaan bending stress untuk mengurangi massa kapal. Hasil optimasi menunjukkan bahwa tegangan yang terjadi pada struktur tetap memenuhi standar badan klasifikasi. Optimasi menghasilkan penurunan berat yang signifikan: untuk material mild steel, penurunan berat superstruktur sebesar 45% dan hatch cover sebesar 46%. Untuk aluminium 5083, penurunan berat superstruktur sebesar 17,34% dan hatch cover sebesar 18,95%. Sebaliknya, pada material HDPE terjadi peningkatan berat struktur sebesar 78,08 kg atau sekitar 161,857% dari berat desain. Temuan ini menegaskan pentingnya pemilihan material dan ketebalan pelat yang tepat guna mencapai efisiensi optimal dalam konstruksi kapal ikan.
Towards a framework for early cost estimation based on process complexity index for machined components Hendri DS Budiono; Wahyu Purnawirawan; Jos Istiyanto; Gerry Liston Putra
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: 10.71452/3s21w125

Abstract

Preliminary cost estimating is a pivotal element in ascertaining the competitive viability of manufacturing sectors. The initial design phase, when comprehensive information on methods and standards remains significantly constrained, allocates approximately 70–80% of overall manufacturing expenses. This paper presents a conceptual framework for preliminary cost assessment grounded in process complexity indices, specifically targeting machined components. The framework is constructed using a modular approach comprising three primary components: CAD/CAM system, analysis module, and reference module. The CAD/CAM system module extracts geometric data from CAD models, classifies manufacturing aspects, and delineates product complexity attributes. The Analyzing Module encompasses manufacturability assessment, production duration estimation, cost calculation, and evaluations of product and process complexity. The Reference Module offers auxiliary databases, encompassing machine cost rates, labor expenses, tool specs, manufacturing process repositories, and complexity databases. The integration of these three modules facilitates more precise cost estimation, especially in the absence of specific production information. A literature analysis demonstrates that feature recognition methods—geometry-based, rule-based, graph-based, and hybrid—can be integrated to enhance this system. The suggested framework aims to enhance the dependability of early design-stage forecasts by including complexity traits into cost estimates, hence establishing a basis for the creation of more adaptive and automated cost estimation systems suited to contemporary manufacturing requirements.