cover
Contact Name
Eva Oktavia Ningrum
Contact Email
eva-oktavia@chem-eng.its.ac.id
Phone
+6281335233410
Journal Mail Official
iptek.joe@gmail.com
Editorial Address
IPTEK Journal Editorial Office Pusat Publikasi Ilmiah Institute for Research and Public Service (LPPM) Pusat Riset Building 6th Floor Institut Teknologi Sepuluh Nopember Sukolilo, Surabaya, Indonesia, 60111
Location
Kota surabaya,
Jawa timur
INDONESIA
IPTEK The Journal of Engineering
ISSN : 23378557     EISSN : 28075064     DOI : -
Core Subject : Engineering,
IPTEK The Journal of Engineering (E-ISSN: 2337-8557) is an academic journal on the issued related to engineering and technology. IPTEK The Journal of Engineering published first time in August 2014. From 2014-2018 (Volume 1-4) IPTEK The Journal of Engineering publish three issues (numbers) annually (April, August, and December). Since 2019 published annually in April and August. It is open to all scientist, researchers, education practitioners, and other scholars. Therefore this journal welcomes various topics in different engineering disciplines. Our target is to reach all universities, research centers and institutes in the globe. Call for Papers IPTEK The Journal of Engineering is an open-access journal, which means that visitors all over the world could read, download, cite, and distribute papers published in this journal for free. We adopt a peer-review model, which insured fast publishing and convenient submission. In addition to peer-reviewed original research papers, the Editorial Board welcomes original research reports, state-of-the-art reviews and communications in the broadly defined field of engineering science and technology. Theses, dissertations, research papers, and reviews are all acceptable for publication. All topics should relevant to the issues faced by industries, governments, and communities. The broad-based topics may be covered by the following knowledge areas: Computer Engineering and Information Systems (Telematics, Algorithms and Programming, Network Based Computing, Smart Computing and Vision, Intelligent Information Management, Computer Architecture and Networking, Applied Modeling and Computing, Graphics Interaction and Games, Software engineering, Information Technology Infrastructure and Security, Information Systems Management, Data Engineering and Business Intelligence, Data Acquisition and Information Dissemination, Enterprise System, and Smart Cities and Cyber Security) Civil Infrastructure Engineering (Hydrotechnics and Surveying, Construction Implementation Management, Building Materials and Structures, and Transportation and Geotechnics) Mechanical Engineering (Energy Convertion, Metallurgical and Materials Engineering, Mechanical Design, and Manufacture) Electrical Engineering Automation (Cyber Physical, Automation, and Industrial Robots, Programmable Logic Controller and Control System, Antennas and Propagation, Instrumentation, Measurement and Power System Identification, Multimedia Telecommunications Network, Multimedia Communication, Electric Energy Conversion, Electric Power System Simulation, High voltage, System and Cybernetics, Microelectronics and Embedded Systems, Biocybernetics, Instrumentation and Biomedical Signal Processing, Multimedia Computing and Machine Intelligence, and Digital Signal Processing) Chemical Engineering (Applied Chemistry, Biochemical and Bioprocess, Advance Functional Materials and Analysis, Thermodynamic, Chemical Reaction, Material and Nanocomposite, Bioenergy, Wastewater Treatment, Process Integration, Fluid Mechanic, and Sustainable Industrial Systems) Instrumentation Engineering (Control Instrumentation, Measurement Instrumentation, Photonic Engineering, Vibration and Acoustics, and Embedded Systems and Physical Cyber) Business Statistics (Business Analytic, and Quality and Productivity Engineering) And physical, chemical, biological, and environmental sciences that are directly related to engineering.
Articles 144 Documents
Control System for Pakcoy Hydroponic Cultivation with Nutrient Film Technique based on Internet of Things Aisyah, Putri Yeni; J.A.S, Pankrasius Iubilaeum; Ainin, Qurrotu; Wijayanti, Monica Intan
IPTEK The Journal of Engineering Vol 10, No 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v10i3.a17931

Abstract

When applying the hydroponic method, there are several main factors that need to be looked at, such as nutrition and pH. This research involves the design of a Nutrient and pH Monitoring and Control System for Hydroponic Plants Based on the Internet of Things (IoT) with closed loop control. This system aims to make it easier for farmers to manage their crops in all conditions by monitoring nutritional needs, pH levels and overall plant health from anywhere using a smartphone. Based on research that has been carried out, the Total Dissolved Solid (TDS) sensor shows an accuracy of up to 99.3%, with an error margin of 2.43% and a correction value of 2.43 ppm. The pH sensor has an accuracy of up to 99.35%, with an error of 0.039%, and a correction of 0.039. The JSN-04 ultrasonic sensor has an accuracy of up to 100%, with 0% error, and 0 cm correction. In plants that are cultivated using a control system, the height gain is more significant than plants without a control system.
Evaluating the Internet of Things Platform for CO2 Monitoring in Sugar Refineries Cahyari, Khamdan; Ashilah, Desi Try; Cahyani, Mita Dian; Ula, Rahmatan Amartya
IPTEK The Journal of Engineering Vol 10, No 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v10i3.a21584

Abstract

The sugar cane industry in Indonesia makes a substantial contribution to CO2 emissions, which have a negative impact on the environment and society. This study attempts to incorporate the Internet of Things (IoT) as a reliable indicator of air quality in the sugar cane industry, specifically focusing on the CO2 metric. The research aims to monitor the air quality and provide air quality information. This aligns with the eleventh Sustainable Development Goal, which emphasizes the importance of Sustainable Cities and Communities. The implementation of a smart factory concept utilizes IoT technology to actively monitor and analyze gas emissions in real-time monitoring and assessment of the air quality so that when the CO2 level exceeds the safe limit, it can provide a warning and appropriate action can be taken immediately. The system comprises a PIC microcontroller, an ESP-8266 (wi-fi) module, and a gas analyzer. These components work together to identify and alert users when gas emissions exceed pre-established thresholds. Furthermore, the system provides consumers with regular data and notifications, thereby enhancing environmental management and monitoring. The evaluation of IoT-based CO2 monitoring can raise public awareness and air quality information. Aligning with the United Nations' Sustainable Development Goals, implementing IoT technology in the sugar industry offers a practical approach to reducing emissions and promoting sustainability.
Rice Identification Using Convolutional Neural Network with YOLOv7 algorithm and VGG16 Mawarani, Lizda Johar; Pratama, Detak Yan; Rahmadiansah, Andi; Sawitri, Dyah
IPTEK The Journal of Engineering Vol 10, No 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v10i3.a20143

Abstract

Rice is the most widely consumed food worldwide. The many types of rice cause various difficulties in the process of classifying rice varieties. The process of manually classifying rice varieties that rely on human power has drawbacks including the subjectivity of assessment between observers, limited physical capabilities, and longer observation times. In this research a rice variety classification system has been developed using the Convolutional Neural Network with the YOLOv7 and VGG16 algorithms. The rice varieties classified are basmati, IR64, and rojolele varieties. The model with the YOLOv7 algorithm is trained for object segmentation of rice grains and is used to create rice grain image datasets. The model with the VGG16 algorithm was trained by transfer learning and used for classifying rice grain varieties. The model with a learning rate hyperparameter of 0,000061, the ReLU activation function, the number of neurons 256 in the second classification layer, with the fine-tuning training method, has the best performance with an accuracy value of 100%. The best VGG16 model weight is used in application implementation. Identification of the type of rice with the application can be done on the image of a batch of homogeneous and heterogeneous rice grains with various arrangements.
Cultivation of Low-Potassium Paddy Straw Mushrooms (Volvariella volvacea) on Proline-Based Osmolyte Growing Medium to Enhance Nutritional Variety for Hyperkalemia Patients Aulia, Anisa Fatma; Sholeha, Dika Rohman; Fitriania, Baktias; Prajitno, Danawati Hari; Arifin, Rizal; Hamzah, Afan
IPTEK The Journal of Engineering Vol 10, No 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v10i3.a22094

Abstract

The increasing variety of food choices has led to a rise in diet-related diseases, as people often prioritize taste over nutritional content. The high consumption of sodium and potassium-rich foods has contributed to a growing number of kidney disease cases. While many studies have focused on producing low-potassium foods, these often result in suboptimal growth. Mushrooms are a nutrient-rich food source, but their high potassium content makes them unsuitable for kidney disease patients. This study aims to determine the effects of different growing media compositions and osmolyte supplementation on potassium content, yield, and mycelium growth duration in low-potassium mushrooms. The cultivation was conducted using the baglog method, starting with the preparation of a growth medium composed of a combination of sengon wood sawdust, rice bran, and dried kepok banana leaves, which were sterilized before inoculating mushroom spawn and incubated in a kumbung for 35 days. Mycelium length was observed during growth, and potassium content was tested post-harvest. The results showed that proline supplementation had an effectiveness threshold, with 3% proline in composition B yielding the best hyphae development and the highest yield of 296.67 grams with the lowest potassium content. For glycerol treatment, 5% glycerol in composition A produced the highest yield and lowest potassium content, while 1% glycerol in composition B resulted in the longest hyphae growth.
Rheology Analysis of 3D Printed Geopolymer Based on High Calcium Fly Ash Tajunnisa, Yuyun; Arrafid, Rifqi Nadhif; Bayuaji, Ridho; Nurhadi, Hendro
IPTEK The Journal of Engineering Vol 10, No 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v10i3.a21071

Abstract

The advancement of 3D concrete printing has focused on automation research in recent decades. 3D printing technology is adequate to reduce waste and improve efficiency for construction. Former research on 3D concrete printing used hydration cement based on ordinary Portland cement (OPC), which was not environmentally friendly. An alternative material to overcome problems with hydrated cement mortar is a geopolymer. Geopolymer mortar based on 3D printing is still in its infancy. Mechanical and rheological properties are the key parameters of this technology: yield stress, shear stress, and viscosity. The flow characteristics of 3D concrete printing represented the ability of material transfer along the system of the 3D printing machine. This research utilizes type C fly ash waste as the primary material for making geopolymer 3D-printed concrete. Variations of 8, 10, and 12 M of NaOH concentration were used to investigate the relationship between workability and quality of the geopolymer mortar. Workability testing of 3D concrete printing consists of several parameters: pumpability, extrudability, and buildability. Material identification, including rheology and flowability, is carried out to determine mortar specimens' pumpability, extrudability, and buildability. Several test approaches, such as slump flow, slump, shape retention, and rheometer tests using the vane shear approach method, were conducted to identify the rheological characteristics and flowability of the material. Based on testing of the material's workability, 10 M NaOH concentration variation is the most suitable material for future 3D printing material. The workability of 10 M NaOH is 177.5 mm and the the copressive strength is 25.84 Mpa. This variation meet ACI 318/318R – 14 criterion for building structure.
Hydrodynamic Force Comparison on Multi-Hull, Monohull and Single-to-Twin After Ship Hull (STASH) Based on Seakeeping Criteria Poundra, Gde A Prabhawatya; Aditya, Bagus Kusuma; Widiyanto, Sinung
IPTEK The Journal of Engineering Vol 10, No 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v10i3.a21144

Abstract

An investigation into the hydrodynamic force and seakeeping of single-to-twin after ship hull (STASH) and multi-hull geometry was done successfully. STASH is characterized by its monohull-shaped design in the fore part and twin hull in the rear part creating unique performance, especially seakeeping which being the focus study to provide seaworthiness. The method of accomplishing this study was through computer simulation using Maxsurf: Motion for seakeeping and hydrodynamic force analysis. The overall results were compared with published data and mathematical models for validation purposes. The results are believed to be useful for the development of the ship design and performance.
Design of IoT-Based One Axis Passive Solar Tracker Fitriyanah, Dwi Nur; Abyrahman, Bramasta Ghozi; Abadi, Imam
IPTEK The Journal of Engineering Vol 10, No 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v10i3.a17792

Abstract

Photovoltaic (PV) is a device that has the ability to convert solar energy into electrical energy. The most popular way to improve performance in PV is to add solar tracker technology. There are 2 solar tracker methods, namely passive and active, in this study focuses on the passive method where the slope angle of the PV is calculated using astronomical calculations. The difference in previous research is that the PV tilt angle can be adjusted via cellphone, it has a function if the Tracker system is damaged it can be replaced first using this system. In this study, the INA219 sensor is used to measure the current, voltage, and power at the PV output, and the GY52MPU 6050 sensor is used to measure the PV slope. The results obtained from this study are the accuracy value of the INA219 sensor is 98.67% for power and 97.67% for current and there is an error of 1.33% for power and an error of 2.33% for current values. There is also an accuracy value of the GY52MPU6050 sensor which is 99.6% and an error of 0.4%. IoT is also carried out where if the current value is greater, the delay that occurs is also higher. There is also an increase in performance between fixed-based and tracker by 21% in sunny conditions, and 15% in cloudy conditions.
Water Quality Control System and Automatic Feeding Based on The Internet of Things for GoldFish Mashuri, Mashuri; Sabilaa, Annisa; Mursid, Mashirul; Anandaa, Fanoki Natri; Widiono, Eddy; Sampurnoa, Bambang
IPTEK The Journal of Engineering Vol 10, No 3 (2024)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v10i3.a21208

Abstract

Water quality affects fish survival and growth. Research on water quality management of aquaculture ponds can improve fish growth. Physical parameters of water quality, such as temperature, acidity, total dissolved solids and turbidity, affect fish growth. Feeding is also important, as fish require adequate feed intake. Improper use of feed can affect water quality indicators. Automatic water quality control and feeding systems have been developed with wireless technology and sensors of various functions. Data sent to mobile devices allows administrators to monitor air quality in fish farms. The creation of an automatic water metering device controlled through a smartphone was also carried out. This research aims to create an automatic water quality stabilization and feeding system for good fish growth.
Numerical Analisys of Segmental Box Girder’s Stress with Eccentric Tendon Anchoring on Balanced Cantilever Box Girder Bridge Raenaldo, Kevin; Darmawan, Muhammad Sigit; Husin, Nur Ahmad
IPTEK The Journal of Engineering Vol 11, No 1 (2025)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v11i1.a22591

Abstract

Diagonal crack damage on the web of balanced cantilever box girder bridges has frequently occurred worldwide, including in Indonesia. Previous studies have shown that these cracks can result from additional shear stress caused by prestressed tendon anchoring. In this study, an analysis was conducted using a 2D element model verified through a numerical approach. The evaluation of box girder web stress values was used to assess the potential for cracking and confirm the results of crack mapping conducted on site. The research found that shear stress from prestressed tendon anchoring increases the total shear stress on the box girder web by up to 46.6% of the total shear stress value. The distribution of shear stress from prestressed tendon anchoring is concentrated in the anchoring areas on the top slab and bottom slab sides of the box girder web. The evaluation of principal tensile stress shows that the observed crack locations in the field correspond to areas where the principal tensile stress values exceed the allowable design limit.
The Effect of Build Orientation on Liquid Absorption and Wear of 3D-Printed Denture Materials Ikhlas, Muhammad; Cahyono, Sukmaji Indro; Prayoga, Benediktus Tulung; Dharmastiti, Rini; Arifvianto, Budi; Mahardika, Muslim
IPTEK The Journal of Engineering Vol 11, No 1 (2025)
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23378557.v11i1.a21583

Abstract

Up till now, denture has been widely used for resolving dental problems, especially those due to attrition. The attrition of tooth enamel could lead to wear and lowering the functions of normal teeth. So far, denture is made conventionally by using heat curing method in a mold. However, the complex geometries of teeth and oral cavity has led to the use of the more advanced techniques, such as additive manufacturing. In this research, the denture material fabricated by using digital light processing (DLP) additive manufacturing was studied in term of their liquid absorption capability and wear behavior. The specimen was printed with three build orientations, namely 0°/180°, 90°/90°, and 45°/135°. These are the degree between printing direction against sliding direction. An immersion and wear test were carried out in artificial saliva liquid. The result showed the lowest weight gain and dimensional change in the specimens printed with 90°/90° and 45°/135°. Meanwhile, the specimens prepared with build orientation of 0°/180° or printed with layer parallel to sliding direction demonstrated the smallest value of wear factor, indicating a better wear resistance compared to the others. A visual examination of the worn surface indicated delamination, abrasion and cracking as the possible wear mechanisms of the printed denture materials.