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IPTEK The Journal for Technology and Science
Published by Institut Teknologi Sepuluh Nopember Surabaya
ISSN : 08534098     EISSN : 20882033     DOI : -
Core Subject : Science,
Computer Science & IT
IPTEK The Journal for Technology and Science (eISSN: 2088-2033; Print ISSN:0853-4098), is an academic journal on the issued related to natural science and technology. The journal initially published four issues every year, i.e. February, May, August, and November. From 2014, IPTEK the Journal for Technology and Science publish three times a year, they are in April, August and December in online version.
Arjuna Subject : -
Articles 345 Documents
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Diagnosis of Heart Disease Using Feature Selection Methods Based On Recurrent Fuzzy Neural Networks Shirin Kordnoori; Hamidreza Mostafaei; Mohsen Rostamy-Malkhalifeh; Mohammadmohsen Ostadrahimi; Saeed Agha Banihashemi
IPTEK The Journal for Technology and Science Vol 32, No 2 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i2.7075

Abstract

The World Health Organization (WHO) estimated one-third of all global deaths reason by cardiovascular diseases. Nowadays, artificial intelligence attracts many considerations in diagnosing heart disease. This study used trained recurrent fuzzy neural networks (RFNN) for diagnosing heart disease. This study also used five kinds of feature selection and extraction models for comparing the action of a model, such as data envelopment analysis (DEA), Linear Discriminative Analysis (LDA), Principle Component Analysis (PCA), Correlation Feature Selection (CFS), and Relief. By using these methods, this paper diagnosed whether the patient has a heart disease problem or not. The results showed that Correlation feature selection has the best operation in feature selection in RFNN by accuracy of 98.4%.
Reduction of Free Fatty Acids in Palm Kernel Oil Using Bagasse Adsorbent of Varying Masses Caleb MacCarthy; Stephen Adusei
IPTEK The Journal for Technology and Science Vol 32, No 2 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i2.9489

Abstract

Palm kernel is an important oilseed found in the fruit of the oil palm plant. The kernel serves as the source of palm kernel oil rich in vitamin K and has zero transfat and zero cholesterol. The quality of crude palm kernel oil is dependent on the content of free fatty acids, moisture, heavy metals, oxidized products, and minor constituents such as phosphatide. The free fatty acid content, amongst other parameters, is considered a major determinant of the quality of palm kernel oil as higher contents can be detrimental to the flavor, color, stability, and safety of the oil. Hence, this present study aimed at exploring the possibility of using bagasse adsorbent (sugarcane residue) of varying masses of 1.0 g, 1.5 g, 2.0 g, and 2.5 g to reduce the free fatty acids in crude palm kernel oil. A standard test by AOCS was employed in determining the free fatty acids (%FFA) content in both the crude and bagasse treated palm kernel oil. The result of the use of bagasse adsorbent as free fatty acids reducing agent proved to be effective by reducing the FFA content of the crude palm kernel oil by 74%, 77%, 79%, and 82% for 1.0 g, 1.5 g, 2.0 g, and 2.5 g of bagasse adsorbent respectively. Therefore, the findings of this study advocate the use of bagasse adsorbent in reducing higher levels of FFA in crude palm kernel oil to its acceptable limit.
Analysis of Technology Acceptance of Enterprise Resource Planning (ERP) System in The Regional Office of PT. XYZ Throughout Indonesia Baiq Findiarin Billyan; Mohammad Isa Irawan
IPTEK The Journal for Technology and Science Vol 32, No 2 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i2.7876

Abstract

The companies that started to renew their system using ERP-based systems, since 2000 the percentage of success reached 75%, and 25% is a failure. There are several issues such as the quality of human resources, not user-friendly system, incorrect format for data recording, system errors, unstable connections, the long-time process in the system, etc. Related to the issue, the ERP SAP technology provider provides local support to help end-users use the system for daily work. In this study, to analyze the factors of acceptance technology of ERP system, we use the UTAUT2 method, and for analyzing those hypotheses, we use the PLS-SEM metho
User Story Extraction from Online News with FeatureBased and Maximum Entropy Method for Software Requirements Elicitation Nafingatun Ngaliah; Daniel Siahaan; Indra Kharisma Raharjana
IPTEK The Journal for Technology and Science Vol 32, No 3 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i3.11625

Abstract

Software requirements query is the frst stage in software requirements engineering. Elicitation is the process of identifying software requirements from various sources such as interviews with resource persons, questionnaires, document analysis, etc. The user story is easy to adapt according to changing system requirements. The user story is a semi-structured language because the compilation of user stories must follow the syntax as a standard for writing features in agile software development methods. In addition, user story also easily understood by end-users who do not have an information technology background because they contain descriptions of system requirements in natural language. In making user stories, there are three aspects, namely the who aspect (actor), what aspect (activity), and the why aspect (reason). This study proposes the extraction of user stories consisting of who and what aspects of online news sites using feature extraction and maximum entropy as a classifcation method. The systems analyst can use the actual information related to the lessons obtained in the online news to get the required software requirements. The expected result of the extraction method in this research is to produce user stories relevant to the software requirements to assist systems analysts in generating requirements. This proposed method shows that the average precision and recall are 98.21% and 95.16% for the who aspect; 87,14% and 87,50% for what aspects; 81.21% and 78.60% for user stories. Thus, this result suggests that the proposed method generates user stories relevant to functional software.
A Systematic Literature Review of The Role of Ontology in Modeling Knowledge in Software Development Processes Evi Triandini; Marco Ariano Kristyanto; Ravi Vendra Rishika; Franky Rawung
IPTEK The Journal for Technology and Science Vol 32, No 3 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i3.12998

Abstract

Ontology in software development is explained as presenting the properties of things within a domain knowledge and how they are interrelated to each other by defining a set of notions and taxonomies that exemplify the knowledge. It is used to deter- mine the ambiguity in the software requirements specification. Though averred to be useful, the software engineering communities are still unfamiliar with the role of Ontology in modeling knowledge in software development processes. Moreover, not much has been known about the role of Ontology in software engineering processes. The objective is to map and explain the substantiation about the role of Ontology in Modelling Knowledge and the challenge faced by the software engineering team to understand how far ontology can help them determine the ambiguity in model- ing and software development processes. We have carried out a methodical review of the literature issued between 2012 and 2021 and recognized 150 publications that talk over the role of ontology in modeling knowledge in software development pro- cesses. This study conveyed and employed particular inclusion and exclusion criteria in bi-rounds to establish the utmost pertinent publications for our research objec- tive. The review acknowledged 22 applications that explain ontologies’ primary role in software development processes. However, our findings suggest ontology’s role in software engineering as a investigation background requires extra consideration. A further experimental result I needed to better understand the role of ontology in modeling knowledge in software development with quality requirements as well as self-organizing groups.
Prototype Portable Electrical Resistance Tomography Ahmad Zaenal Hayat; Agung Tjahjo Nugroho; Nurul Priyantari
IPTEK The Journal for Technology and Science Vol 32, No 3 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i3.8843

Abstract

Tomography is a way to describe something non-destructively. Some types of Tomography are Electrical Resistance Tomography (ERT), Electrical Impedance Tomography (EIT), and Electrical Capacitance Tomography (ECT). This study aims to combine the ECT and ERT systems. The combination uses the ERT technique (Borehole method) and develops until it can be used like ECT. This research conducts three significant stages (design making, designed realization, and examination). The examination is carried out by simulation and experimental measurement. The simulation result is compared to the result of the experimental measurement. The result shows that both have the same patterns, but it has the amplitude of voltage difference pattern. It is because the resistivity result affects the measured voltage difference result. The higher the resistivity result of the medium, the smaller the measured voltage difference.Tomography is a way to describe something non-destructively. Some types of Tomography are Electrical Resistance Tomography (ERT), Electrical Impedance Tomography (EIT), and Electrical Capacitance Tomography (ECT). This study aims to combine the ECT and ERT systems. The combination uses the ERT technique (Borehole method) and develops until it can be used like ECT. This research conducts three significant stages (design making, designed realization, and examination). The examination is carried out by simulation and experimental measurement. The simulation result is compared to the result of the experimental measurement. The result shows that both have the same patterns, but it has the amplitude of voltage difference pattern. It is because the resistivity result affects the measured voltage difference result. The higher the resistivity result of the medium, the smaller the measured voltage difference.
Model Reference Adaptive Control for Single Phase Buck Boost Inverter Purwadi Agus Darwito; Mega Arintika Yuliana
IPTEK The Journal for Technology and Science Vol 32, No 3 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i3.6950

Abstract

An inverter is a device that converts DC voltage into AC voltage. AC output voltage is usually expected to be fixed and symmetrical at certain amplitudes and frequencies. Most inverters use a pulse width modulation circuit to regulate the output voltage. There are many topologies in building inverter circuits. In this research, the BuckBost topology is used to meet the output voltage greater or smaller than the input voltage. In this research, a Buck-Boost inverter is designed to convert a 12 volts DC input voltage to a 220 volts AC output voltage. In addition to the magnitude, the output voltage must also be considered of quality, in the sense that if there is a ripple, it should be as small as possible. For this purposed MRAC control is used, and simulated using Matlab. The test results with simulation show that the response of the SPBBI system with the MRAC controller with the MIT rule method can achieve the expected output voltage of 220V at the reference frequency of 49.95 Hz, 50 Hz, 50.05 Hz, and 60 Hz. System response is very dependent on the value of the adaptation gain. The adaptation gain that produces the best system response is 0.000001 with a settling time of 0.095 seconds.
A Smart GSM-Based Home Electrical Appliances Remote Control System Elvis Tamakloe; Benjamin Kommey
IPTEK The Journal for Technology and Science Vol 33, No 1 (2022)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v33i1.12226

Abstract

Energy control systems have over the years experienced significant transformation due to technological innovations. Its importance has led to the development of a few models aimed at realizing home automation and resolving energy wastage. Wise use of electricity helps a nation to become more energy-efficient, reduces the environmental impact, saves money on the electricity bills, and keeps the nation’s electricity supply more reliable. This paper presents a prototype design to reduce the electricity wastage in Ghanaian homes and probably offices. A Global System for Mobiles (GSM) module is used for receiving short message service (SMS) from user’s mobile phone that automatically enable the controller to take any further action such as to switch ON or OFF the home electrical appliances like light, air-conditioner, fan etc. The system is activated when user sends the SMS to the microcontroller and upon receiving the SMS command, the microcontroller unit then automatically controls the home electrical appliances by switching ON or OFF the device accordingly. A system prototype was developed and tested successfully. The system provides an effective mechanism to aid the efficient utilization of power in a developing country such as Ghana
Review of In Vitro Flowering Method for Tomato (Solanum Lycopersicum L.) Siska Citra Dewi; Vincentius Riandaru Prasetyo; Johan Sukweenadhi; Fenny Irawati; Wina Dian Savitri
IPTEK The Journal for Technology and Science Vol 33, No 1 (2022)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v33i1.12459

Abstract

Tomatoes are one of the most popular vegetable plants globally because of the many benefts that can be obtained from tomatoes. However, its availability is still insuffcient for market demand. Therefore, researchers began to develop tissue culture methods to cope with market demand. Although there have been several studies on tomato flowering in vitro, information about this method is minimal and needs further development. In vitro flowering is a technique in tissue culture for flowering plants in vitro. One of the benefts is cultivating plants in a relatively short time under controlled conditions to prevent disease transmission between plants. Therefore, we conducted a literature study to compare the results of these studies to know an effective and efcient method of factors that increase the in vitro flowering plants of tomatoes. In vitro flowering methods generally focus on flowering media, especially cytokinin types such as 6-Benzylaminopurine (BAP) and kinetin, and the concentration of those hormones, also light intensity used to induce flowering of tomato plants. Factors that affect in vitro flowering of tomato plants are tomato plant varieties, hormones, and light intensity.
A Semantic Comparison of Feature Requirements Extraction Methods Patricia Gertrudis Manek; Abdullah Faqih Septiyanto; Adi Setyo Nugroho
IPTEK The Journal for Technology and Science Vol 32, No 3 (2021)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v32i3.13003

Abstract

Requirement engineering is an essential part of software development. The initial process in software development is to determine the needs of the stakeholders. To convert stakeholder needs into features of the system to be developed takes a long time, so it is a challenge for researchers to be able to extract features automatically based on the description of the needs of stakeholders. Previous research has also implemented feature extraction using user reviews on applications that public users have used. The feature extraction results will be used for feature development in future updated versions. The extraction process can use several proven methods to provide results that match the needs of the stakeholders in the system. This study compared the automatic feature extraction method using Natural Language Processing (NLP) with Hierarchical Pattern Recognition (HPR) on the dataset requirements and user reviews. Performance evaluation was conducted to test feature extraction results using Accuracy, precision, recall, and F-measure. The study results show that each method has advantages when implemented on both datasets. The NLP method excels in classifying the NL Requirement dataset. The HPR method has its advantages in extracting user review data.

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