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Agus Harjoko
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INDONESIA
IJCCS (Indonesian Journal of Computing and Cybernetics Systems)
Published by Universitas Gadjah Mada
ISSN : 19781520     EISSN : 24607258     DOI : https://doi.org/10.22146/ijccs
Core Subject : Science, Engineering,
Computer Science & IT Control & Systems Engineering
Indonesian Journal of Computing and Cybernetics Systems (IJCCS), a two times annually provides a forum for the full range of scholarly study . IJCCS focuses on advanced computational intelligence, including the synergetic integration of neural networks, fuzzy logic and eveolutionary computation, so that more intelligent system can be built to industrial applications. The topics include but not limited to : fuzzy logic, neural network, genetic algorithm and evolutionary computation, hybrid systems, adaptation and learning systems, distributed intelligence systems, network systems, human interface, biologically inspired evolutionary system, artificial life and industrial applications. The paper published in this journal implies that the work described has not been, and will not be published elsewhere, except in abstract, as part of a lecture, review or academic thesis.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 10 Documents
 1 
Search results for , issue "Vol 18, No 4 (2024): October" : 10 Documents clear
Measurement and Analysis of Detecting Fish Freshness Levels Using Deep Learning Method Anas, Dhea Fajriati; Jaya, Indra; Herdiyeni, Yeni
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 4 (2024): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.95054

Abstract

Subjective and objective tests used to determine the fish deterioration process require specialized skills and time, making them inefficient for use by the general public in markets. The quality of fish products in markets is not always guaranteed, so consumers must determine their suitability. Deep learning can be used to analyze images and automatically and accurately detect the freshness of fish. This study aims to evaluate the efficiency of deep learning models in detecting fish freshness and implementing them into an Android application for public use. "Image datasets and pH tests were collected as references for the postmortem phase over a 24-hour period, with hourly checks on three fish species (Rachycentron canadum, Trachinotus blochi, and Lates calcarifer). Data were classified into three classes, pre-rigor/fresh, rigor mortis/semi-fresh, and post-rigor/not fresh. The dataset was divided using the 10-fold cross-validation method and analyzed using YOLOv5 and Faster R-CNN algorithms. The study results showed that YOLOv5 had higher average values for each metric compared to Faster R-CNN. Dataset 8 in YOLOv5 showed precision of 99.4%, recall of 98.1%, f1-score of 98.7%, accuracy of 99.3%, and mAP of 99.3%. The YOLOv5 model for dataset 8 was selected for implementation in the Android application due to its high metric values. This application effectively provides information on fish freshness detection and confidence scores.
Chicken Weight Prediction in Close House Farm Using Fuzzy Method Pratama, Kharis Suryandaru; Wardoyo, Retantyo
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 4 (2024): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.96406

Abstract

This study aims to predict the weight of chicken on a close house farm using the Fuzzy Logic method by implementing the LUKASEWICZ method. The data used in this study are the factors that affect the weight of the chicken including the number of chickens entering, the initial weight of the chicken, the temperature of the cage, the humidity of the cage, the quantity of water, the quantity of feed, and air circulation (wind speed) in the cage. The results of the calculation of Fuzzy with the łukasiEwicz method of these factors can be used to predict the chicken boboy during the harvest period and according to the weight set during the harvest period. The accuracy of the prediction value with the Absolute Percentage Error (MAPE) mean test shows the value of 5,3981%. It was concluded that the calculation of fuzzy with the łukasiewicz method can be used to predict the weight of chicken during the harvest period.
Forecasting Pertalite Stock Expenditures Using Exponential Smoothing and Linear Regression afandi, asep afandi
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 4 (2024): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.98849

Abstract

In the current industrial and business era, effective inventory management is essential for maintaining operational sustainability, particularly in the fuel industry. Pertalite, a popular fuel in Indonesia, with an octane number of 90, offers cleanliness, efficiency, and affordability. However, challenges arise in stock expenditure management due to inaccurate forecasting methods. Data mining, utilizing statistical and machine learning techniques, can identify patterns and trends for better stock forecasting. Recent studies highlight the effectiveness of exponential smoothing and linear regression in fuel demand forecasting. Exponential smoothing, which gives more weight to recent data, improves prediction accuracy, while linear regression analyzes the relationship between fuel stock and various independent variables. This study examines Pertalite fuel sales data from May 2022 to April 2024 from a Pertamina gas station in North Lampung. Results show that linear regression can predict trends, while exponential smoothing, using alpha values between 0.1 and 0.9, captures trends and variations over time. Both methods provide stable forecasts for specific months, demonstrating their utility in understanding Pertalite fuel sales patterns. The study underscores the importance of accurate forecasting in inventory management to meet market demands and maintain operational efficiency.
Digital Transformation Through E-Master Application in Human Resource Development in Civil Servants Fitriani, kharisma; Hidayat, Rofiq
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 4 (2024): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.98956

Abstract

The use of technology has become a crucial aspect in the progress and development of Human Resources (HR). HR management includes various aspects such as planning, organizing, compensation, and maintaining work relationships to achieve individual, organizational, and societal goals. Research in education has a significant impact on youth empowerment, a critical stage in human development. This study aims to describe motivation, personality, and skills in HR Development Management at the East Java Provincial Education Office Branch. Using a qualitative approach, this research understands HR development in depth through the "e-Master" application. The informants consisted of e-master application managers, personnel managers, and e-master application users. Data was collected through semi-structured interviews, primary documentation from direct observation, and non-participant observation. Data analysis was carried out using techniques of reduction, presentation, and drawing conclusions, with the validity of the data strengthened through triangulation of techniques and sources. It is hoped that the research results can improve the quality of human resources at the educational level, bringing a positive impact in empowering the workforce in education for a better future.
Strategy Selection to Enhance Customer Data Quality using AHP: Case Study of General Insurance Company (PT XYZ) Syafira, Adinda Rizkita; Hidayanto, Achmad Nizar; Nugroho, Widijanto Satyo; Samik-Ibrahim, Rahmat Mustafa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 4 (2024): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.99263

Abstract

This study examines strategies to enhance customer data quality at PT XYZ, a general insurance company, which is crucial for strategic decision-making and revenue growth. The importance of this topic lies in its potential to significantly improve operational efficiency and customer satisfaction. The Analytical Hierarchy Process (AHP) is utilized to select the optimal strategy from available alternatives. The research begins by establishing criteria and identifying alternative strategies to improve customer data quality. Expert evaluations are conducted based on four criteria: cost, time, security, and availability. Four experts are involved, chosen for their expertise in technology and organizational impact. The experts include a Senior IT Business Intelligence, a Data Analyst, a Unit Head of IT Infrastructure & Security Department, and a Division Head of Digital. The findings highlight that the strategy of Strengthening Collaboration Across Departments, with a value of 0.455, is the most effective. This strategy emphasizes interdepartmental cooperation to enhance data quality. The results underscore the long-term benefits of improved operational efficiency and customer satisfaction despite initial investment challenges, demonstrating the practical application of AHP in organizational settings. 
Offensive Language and Hate Speech Detection using BERT Model Amalia, Fadila Shely; Suyanto, Yohanes
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 4 (2024): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.99841

Abstract

Hate speech detection is an important issue in sentiment analysis and natural language processing. This study aims to improve the effectiveness of hate speech detection in English text using the BERT model, along with modified preprocessing techniques to enhance the F1-score. The dataset, sourced from Kaggle, contains English text with hate speech content. Evaluation results show a significant improvement in the model's accuracy and overall text classification performance. The BERT model achieved 89.11% accuracy on test data, correctly predicting 85 out of 95 samples. While the model excels at classifying offensive text with around 95% accuracy, it struggles to distinguish between hate and offensive text, with some confusion between neither and offensive categories. The classification report shows F1-scores of 0.43 for the hate class, 0.94 for the offensive class, and 0.84 for the neither class, with a weighted average F1-score of 0.89 and a macro average of 0.73. These results indicate that the BERT model delivers solid performance in detecting hate speech, though there is room for improvement, particularly in distinguishing certain classes.
The Application of the Rabin-Karp Algorithm with the Synonym Recognition Approach to Detect Plagiarism in Student Assignments Handayani, Irma; Waluyo, Anita Fira
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 4 (2024): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.100308

Abstract

Kemajuan teknologi yang pesat telah mempermudah segala hal, termasuk dalam bidang pendidikan. Namun, kecanggihan tersebut juga mengakibatkan penyalahgunaan teknologi, terutama dalam hal duplikasi atau plagiarisme. Masalah ini tidak hanya terjadi pada tugas esai tetapi juga pada kode program. Untuk mengatasi hal tersebut, telah dilakukan penelitian untuk mendeteksi plagiarisme pada tugas mahasiswa dengan menggunakan metode Rabin-Karp dan pendekatan Synonym Recognition. Penelitian ini menemukan bahwa tingkat kesamaan terkecil adalah 20%, sedangkan yang terbesar adalah 76%. Penelitian ini bertujuan untuk memberikan solusi yang cepat dan akurat untuk mencegah maraknya aktivitas plagiarisme di bidang akademik.
Analysis of the Implementation of ISO 27001: 2022 and KAMI Index in Enhancing the Information Security Management System in Consulting Firms Apriany, Allisha; Wibowo, Antoni
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 4 (2024): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.100385

Abstract

Keamanan Informasi Elektronik ini kini sudah menjadi hal yang perlu diperhatikan oleh seluruh perusahaan agar aset penting perusahaan tetap terjaga dan mendapatkan kepercayaan dari pelanggan atau klien. Dalam operasional sehari-hari, banyak aktivitas dan data pribadi yang dikirimkan ke perusahaan untuk melakukan transaksi. Akan tetapi, belum banyak perusahaan yang memiliki kesadaran akan keamanan informasi, yang apabila tidak dilakukan akan merugikan perusahaan. Selain itu, dapat menurunkan nilai kompetitif karena dinilai tidak mampu melindungi data pribadi pelanggan atau klien. Setiap kebocoran data dan pelanggaran keamanan informasi dapat merusak reputasi organisasi [1]. Oleh karena itu, penting untuk memiliki ISMS yang efektif sesuai dengan standar ISO 27001:2022 yang merupakan standar keamanan informasi internasional yang telah diterapkan pada banyak perusahaan di seluruh dunia. ISO 27001:2022, standar internasional untuk manajemen keamanan informasi, memberikan panduan dan persyaratan yang jelas untuk membangun, menerapkan, dan memelihara sistem keamanan informasi yang efektif. Dalam makalah ini, penulis akan menilai tingkat kematangan sistem manajemen keamanan informasi berdasarkan ISO 27001: 2022. Berdasarkan penilaian tersebut, perusahaan masih mampu mencapai standar ISO 27001:2022 dan Index KAMI. Beberapa perbaikan harus dilakukan untuk mencapai tingkat kematangan minimum III+ dari penilaian Index KAMI. Selain itu, berdasarkan ISO/IEC 27001:2022, skor hasil yang diperoleh adalah 39% yang dapat disimpulkan bahwa sebagian besar perusahaan belum menerapkan prosedur apa pun dan beberapa kontrol telah diterapkan. Oleh karena itu, rekomendasi perbaikan diperlukan bagi perusahaan, mulai dari penerapan kebijakan dan prosedur terkait manajemen keamanan informasi.
Feasibility Study of Using Blockchain Technology for Criminal Records in Central Java Wulan, Puspa Ira Dewi Candra; Fauzi, Rofiq; Perdana, Danis Putra; Alfianto, Muhamad Eko; Maharani, Clarissa Monique; Abdi Susila, Yudha Satria
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 4 (2024): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.100953

Abstract

A criminal record is an official document filed with the police that contains a person's criminal history. In practice, managing criminal record data is not easy, the complex challenge is the risk of data manipulation. Data manipulation is carried out for various purposes, one of which is deleting or changing data for certain purposes. The increase in cyber crime in Indonesia does not rule out the possibility that criminal record data will be hacked. Blockchain technology, through smart contracts, is an innovative solution to overcome the problem of data manipulation. Blockchain as an immutable distributed digital ledger, provides guarantees of data security and integrity. By adopting smart contracts in data collection, it can increase the speed of information access, reduce the risk of manipulation and provide a high level of transparency. A feasibility study regarding the importance of implementing Blockchain technology for storing criminal records needs to be carried out before deciding to realize this technology.  The aim of this research is to analyze how important it is that criminal record data must be secured using Blockchain technology in Central Java.  Qualitative methods were used in this research, data collection was carried out using interview techniques with predetermined sources
Analysis User Satisfaction of XYZ Application with End User Computing Satisfaction Method and Delone and Mclean Giansyah, Qhoiril Aldi; Maita, Idria; Megawati, Megawati; Salisah, Febi Nur
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 18, No 4 (2024): October
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.101004

Abstract

Rapidly developing technology has made internet service providers such as XYZ provide an application which promises convenience for its consumers to make transactions to purchase credit, internet quota, and other services. this application is one of the fairly well-known providers and is currently competing with other providers. this provider targets young people because in terms of its products which are quite competitive with a wide reach and prices that are quite cheap for young people. Of course, customers will feel the convenience of transacting using the official service application. The convenience offered can make business processes more efficient and can be used to improve the quality of their services.This study uses the End User Computing Satisfaction model method and the Delone and Mclean model with 9 research variables (content, accuracy, format, ease of use, timeliness, system quality, information quality, and service quality, and security), The purpose of this study is to assess the effectiveness of the application..Out of the nine variables included in the research results, only two Service Quality and Accuracy have a statistically significant impact. The model provided in this study has a Rsquared score of 0.792, indicating a strong level of customer satisfaction.

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