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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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Student Behaviour Analysis To Detect Learning Styles Using Decision Tree, Naïve Bayes, And K-Nearest Neighbor Method In Moodle Learning Management System Santi Tiodora Sianturi; Umi Laili Yuhana
IPTEK The Journal for Technology and Science Vol 33, No 2 (2022)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v33i2.13665

Abstract

A learning management system (LMS) manages online learning and facilitates inter- action in the teaching and learning processes. Teachers can use LMS to determine student activities or interactions with their courses. Everyone learns uniquely. It is necessary to understand their learning style to apply it in students’ learning activi- ties. One factor contributing to learning success is the use of an appropriate learning style, which allows the information received to be appropriately conveyed and clearly understood. As a result, we require a mechanism to identify learning styles. This study develops a learning style detection system based on learning behavior at the LMS of Christian Vocational School Petra Surabaya for the subject of Network System Administration using the Decision Tree, Naïve Bayes, and K-Nearest Neigh- bor. The results of the study showed that the Decision Tree method could better detect and predict learning styles, namely using the 80:20 train split test, which obtained an accuracy of 0.96 process time of 0.000998 seconds, while the K-Fold 10 Cross-Validation test obtained an accuracy of 0.98 and a processing time of 0.04033 seconds.
Feature Selection Using Hybrid Binary Grey Wolf Optimizer for Arabic Text Classification Muhammad Bahrul Subkhi; Chastine Fatichah; Agus Zainal Arifin
IPTEK The Journal for Technology and Science Vol 33, No 2 (2022)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v33i2.13769

Abstract

Feature selection in Arabic text is a challenging task due to the complex and rich nature of Arabic. The feature selection requires solution quality, stability, conver- gence speed, and the ability to find the global optimal. This study proposes a feature selection method using the Hybrid Binary Gray Wolf Optimizer (HBGWO) for Ara- bic text classification. The HBGWO method combines the local search capabilities or exploratory of the BGWO and the search capabilities around the best solutions or exploits of the PSO. HBGWO method also combines SCA’s capabilities in finding global solutions. The data set used Arabic text from islambook.com, which consists of five Hadith books. The books selected five classes: Tauhid, Prayer, Zakat, Fasting, and Hajj. The results showed that the BGWO-PSO-SCA feature selection method with the fitness function search and classification method using SVM could per- form better on Arabic text classification problems. BGWO-PSO with fitness function and the classification method using SVM (C=1.0) gives a high accuracy value of 76.37% compared to without feature selection. The BGWO-PSO-SCA feature selec- tion method provides an accuracy value of 88.08%. This accuracy value is higher than the BGWO-PSO feature selection and other feature selection methods.
Using Thinking Routines To Improve The Reading And Writing Skills Of Elementary Students Mala Rejeki Manurung; Siti Masitoh; Fajar Arianto
IPTEK The Journal for Technology and Science Vol 33, No 3 (2022)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v33i3.14953

Abstract

Developing thinking skills in teaching and learning, including English lessons, is prominent. Reading and writing are the ability that requires synthesis and higherorder thinking skills. Thinking routines as part of thinking culture is one strategy to develop thinking skills. This study investigated the importance of thinking routines in improving sixth-grade elementary school students reading and writing skills. The quasi-experimental research was conducted with 64 students divided into a control group (N=32) and an experimental group (N=32). The topic of reading and writing was appropriate for the sixth-grade students’ developmental stage. Reading and writing tests were used as data collection tools. The experts validated the reading topic and the tests. The data is analyzed statistically using the Mann-Whitney U Test. The results reveal two significant findings. The first finding was that thinking routines did not significantly improve sixth-grade students’ reading skills. On the other hand, thinking routines improved writing skills significantly. The evidence from this study suggests using thinking routines in English teaching as a base to support and structure students thinking with various perspectives. In addition, thinking routines also support students in writing opinions based on the information given.
Data Quality Management Strategy To Improve Remote Sensing Data Quality: A Case Study On National Remote Sensing Data Bank Agnes Sondita Payani; Alia Mutia Mayanda; Adenia Adiresta; Yova Ruldeviyani
IPTEK The Journal for Technology and Science Vol 33, No 3 (2022)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v33i3.14198

Abstract

National Remote Sensing Data Bank (Bank Data Penginderaan Jauh Nasional; BDPJN) is the operational implementer in the field of remote sensing to meet the needs of national data on remote sensing images. Remote sensing images are essential in the Indonesian government for various needs, such as in regional (spatial planning, city boundaries), disaster (forest fires, floods, landslides, earthquakes, volcanic eruptions), plantation, natural resources, and environment sectors. Quality management of BDPJN’s satellite images becomes challenging due to the increasing number of products owned and users annually. For this reason, a data quality management strategy is needed to guarantee and improve the quality of BDPJN data. To develop such a strategy, an assessment of the maturity of BDPJN’s data quality man- agement was conducted from the aspect of data processing by implementing Loshin’s Data Quality Management Maturity Model (DQM3) to find out the characteristics that were lacking. The results were then mapped based on Data Quality Management (DQM) activities in DAMA-DMBOK as a recommendation for data quality management strategies. This study applies quantitative research where data collection was done by distributing questionnaires to 24 respondents who are data stewards of medium, high, and very high-resolution mosaic images. Based on the assessment, BDPJN is in the maturity level of Defined to Managed. The recommendations are 21 DQM activities that can be carried out to improve BDPJN data quality.
Automatic Multiple Choice Examination Questions Marking and Grade Generator Software Benjamin Kommey; Eliel Keelson; Frimpong Samuel; Seth Twum-Asare; Konadu Kwaku Akuffo
IPTEK The Journal for Technology and Science Vol 33, No 3 (2022)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v33i3.14522

Abstract

This paper discusses a feasible software solution that enables automatic marking andgrading of scripts. Technology keeps expanding, and more advanced innovations arebeing implemented with time. The marking and allocation of grades for examina-tion scripts through human efforts are gradually becoming a thing of the past. Hence,machines and software applications are introduced to make the entire marking andgrading of examination scripts more efficient, fast, and less tedious. Computer visionis an artificial intelligence (AI) knowledge domain that ensures devices obtain usefulinformation from digital images, videos, and other visual inputs. Image processingand recognition, a unique part of computer vision alongside the python program-ming language and the OpenCV library was employed for this project. These are themost used in developing most recent applications that utilize, to some extent, arti-ficial intelligence to attain specific desired results. The result of the project seeksto develop a maintainable android software application that uses image processingtechnology to scan patterns or images and grades results of multiple-choice questionscripts based on a set marking scheme. This ensures that desired results are obtainedwhile increasing efficiency and productivity.
Project Delay Risk Assessment Farida Rachmawati; Herdira Dita Ramadhani; Aulia Shofi Nurhidayah
IPTEK The Journal for Technology and Science Vol 34, No 1 (2023)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v34i1.16263

Abstract

Maintenance activities on power plant projects, which are located in remote areas, are prone to risks related to project delay due to the high complexity of work and limited completion time. This research aimed to fill the existing research gap by developing a delay risk assessment of those projects using a probability impact matrix, which is then transformed into a fuzzy set theory. A case study has been undertaken to represent this research topic at three PLTMGs in Nusa Tenggara. The research steps were potential delay risks identification, critical risk assessment, and risk response development. The results show that the critical risks are lack of skilled and experienced manpower, delay in material and equipment delivery, poor communication and coordination between the contractor and the client, unavailability of materials in the local market, and incomplete material received. Several risk responses are provided in this research, such as strengthening the qualification of the job vacancy, having regular training or sharing sessions before the project execution, and having a stock of emergency spare parts in the central warehouse.
Paving Block from Residue of PS/LDPE/PP Plastic Pyrolysis Mixed with Palm Oil Bottom Ash (POBA) Lenny Marlinda; Heriyanti Heriyanti; Rahmi Rahmi; Ratri Hanifah; Sutrisno Sutrisno; Nelson Nelson
IPTEK The Journal for Technology and Science Vol 33, No 3 (2022)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v33i3.12915

Abstract

The residue of plastic mixture pyrolysis can be used for making paving blocks. Fibers in plastics can be used as an adhesive against other materials and can increase the strength of paving blocks. Palm oil bottom ash (POBA) was added to replace the role of cement, which has the same content as cement, i.e., silica (Si). This study aimed to see the effect of palm oil bottom ash and sand added to the residue of plastic mixture pyrolysis (i.e., PS/LDPE/PP) on the quality of paving blocks. The paving block as a test object was made by combining two materials. The residue of plastic mixture pyrolysis and LDPE plastic melt was mixed with a mass ratio of 70:30%, referred to as material I. Furthermore, palm oil bottom ash and sand were mixed with mass ratios of 100, 80, 60, 40, and 20%, referred to as material II. The ratio of ingredients I and II used was 1: 1. Testing of the quality of paving blocks includes a compressive strength test and a water absorption test. The test results showed that the ratio of PS/LDPE/PP mixture (50:25:25) had a compressive strength of 104.1 kg/cm2 or 102.08 MPa and the water absorption of 2.4% at the ratio of palm oil bottom ash and sand at 80:20%. Adding palm oil bottom ash can reduce the paving block’s compressive strength, and the residue’s LDPE content can affect water absorption because of its chemical structure properties. Therefore, less LDPE residue is needed to obtain optimal water absorption values in paving blocks and add palm oil bottom ash. Based on this compressive strength in this study and SNI 03-0691-1996, these paving blocks can be used for gardens
Evaluation Of Dehydration Performance Of Belitung Taro (Xanthosoma Sagittifolium) Using Tray Dryer Maktum Muharja; Rizki Fitria Darmayanti; Achri Isnan Khamil; Andika Prastika; Muhammad Rizalluddin; Siska Nuri Fadilah; Difka Augustina Diana Sari
IPTEK The Journal for Technology and Science Vol 34, No 1 (2023)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v34i1.14878

Abstract

Belitung Taro (Xanthosoma sagittifolium) is a plant that can be processed into various food products. The high-water content of taro and the lack of a precise drying system made this material easy to rot. This study aims to evaluate the dehydration performance of tray dryers to reduce the water content of Belitung Taro. The independent variables used were air velocity (3-6 m/s), taro thickness (1-4 mm), and drying time (30-120 min). The results showed that the optimum drying time of taro is 30 min. The dryer airflow of 5 m/s significantly reduces the water content. The thickness of the slices positively affects the drying rate. The lowest water content was obtained in drying with a thickness of 1 mm. The ANOVA results show the effect of thickness, time, and flow rate variations on the drying rate. Three types of mathematical modeling are used to estimate moisture content: Newton, Page, and Modified Page. The Modified Page equation was preferred to detect the moisture content of the taro. From this study, the optimum condition of the tray dryer can be the best solution to dehydrate Belitung Taro effectively and efficiently
The Relation Among Business Process Orientation Practices in Influencing Organizational Performance Stefanus Christian Susetyo Harjanto; ER Mahendrawathi
IPTEK The Journal for Technology and Science Vol 34, No 1 (2023)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v34i1.15155

Abstract

Organizations always look for ways to improve their performance to survive in the business environment. One way to improve organizational performance is to improve business process orientation (BPO). Several studies identified practices that can be implemented and significantly impact an organization’s BPO maturity. These practices are called Critical Practices (CPs) strategic view, process definition and documentation, process measurement and management, organizational process structure, people management, process organizational culture, market orientation, supplier view, and information technology. However, most studies treat CPs independently, and the relationship between CPs and between CPs with organizational performance has not been addressed. This study tests and confirms the relationship between CPs, BPO, and organizational performance. Based on the literature, a structural model of the relationship between CPs and organizational performance is developed. An online questionnaire is designed to collect data from various organizations in Indonesia. The survey results are analyzed using Structural Equation Modeling (SEM) to investigate the relationship between variables. Most hypothesized relationships between CPs are confirmed except the relationship between supplier practices (SU) and culture (CT), which are not supported. Not all practices affect organizational performance directly, but they must be mediated by other practices to have a significant effect. The results suggest that to improve organizational performance, an organization needs to improve the practice of strategic view (SV), performance measurement (PM), customer (CU), process definition (PD), and information technology (IT).
Ultrasound Image Synthetic Generating Using Deep Convolution Generative Adversarial Network For Breast Cancer Identification Dina Zatusiva Haq; Chastine Fatichah
IPTEK The Journal for Technology and Science Vol 34, No 1 (2023)
Publisher : IPTEK, LPPM, Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j20882033.v34i1.14968

Abstract

Breast cancer is the leading cause of death in women worldwide; prevention of possible death from breast cancer can be decreased by early identification ultrasound image analysis by classifying ultrasound images into three classes (Normal, Benign, and Malignant), where the dataset used has imbalanced data. Imbalanced data cause the classification system only to recognize the majority class, so it is necessary to handle imbalanced data. In this study, imbalanced data can be handled by implementing the Deep Convolution Generative Adversarial Network (DCGAN) method as the addition of synthetic images to the training data. The DCGAN method generates synthetic images with feature learning on a Convolutional Neural Network (CNN), making DCGAN more stable than the basic generative adversarial network method. Synthetic and original images were further classified using the CNN GoogleNet method, which performs well in image classification and with reasonable computation cost. Synthetic ultrasound images were generated using a tuning hyperparameter in the DCGAN method to adjust the input size on GoogleNet for imbalanced data handling. From the experiment result, the implementation of DCGAN-GoogleNet has a higher accuracy in handling imbalanced data than conventional augmentation and other previous research, with an accuracy value reaching 91.61%, which is 1% to 4% higher than the accuracy value in the previous method.

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