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Jiko (Jurnal Informatika dan komputer)
Published by Universitas Khairun
ISSN : 26148897     EISSN : 26561948     DOI : -
Core Subject : Science,
Computer Science & IT
Jiko (Jurnal Informatika dan Komputer) Ternate adalah jurnal ilmiah diterbitkan oleh Program Studi Teknik Informatika Universitas Khairun sebagai wadah untuk publikasi atau menyebarluaskan hasil - hasil penelitian dan kajian analisis yang berkaitan dengan bidang Informatika, Ilmu Komputer, Teknologi Informasi, Sistem Informasi dan Sistem Komputer. Jurnal Informatika dan Komputer (JIKO) Ternate terbit 2 (dua) kali dalam setahun pada bulan April dan Oktober
Arjuna Subject : -
Articles 287 Documents
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IMPLEMENTATION OF THE COMPLEX PROPORTIONAL ASSESSMENT METHOD IN DETERMINING THE PLACE OF INDUSTRIAL WORK PRACTICE Aulansari, Suwinda; Irawan, Muhammad Dedi
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 2 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i2.8393

Abstract

Industrial Work Practices are a form of directly applying the knowledge gained in the classroom to the industrial world or the world of work. However, in its implementation, problems exist, such as workloads that must be by majors and conditions. This research uses the COPRAS method to build a decision support system to determine the place of industrial work practice at Prama Artha Private Vocational School. This method focuses on resolving each alternative's relative weight and utility and performing complex calculations proportionally. This study used 10 alternative data for internship places as samples and five criteria: student expertise, company division, distance, number of students, and type of company. The results of this study are that the PLN UP3 Pematang Siantar alternative is ranked first with a final calculation result of 100, the USI Pematang Siantar alternative is ranked second with a final calculation result of 96.29 and continued with the Tunas Bangsa STIKOM alternative with a final calculation value of 93.01. This COPRAS ranking system is based on the weights and values given to each criterion so that objectivity and accuracy are guaranteed in determining the place of internship based on the needs and abilities of students. Based on the results of black box testing of the system, it can be concluded that the system as a whole can run according to functionality and is ready for use
DESIGN OF VERTICULTURE PLANT MONITORING AND IRRIGATION SYSTEM USING FUZZY LOGIC AND WIRELESS SENSOR NETWORK Ramdana, Ramdana; Irma, Ade; Muhammad, Figur
JIKO (Jurnal Informatika dan Komputer) Vol 8, No 1 (2025)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i1.8895

Abstract

Verticulture is a gardening method that addresses land limitations by using a multi-layered vertical planting system. However, there are several issues in verticulture, one of which is providing water based on plant needs. The irrigation of verticulture plants is routinely done every day, either in the morning or during the day. This certainly consumes time and effort for the farmers. Therefore, the objective of this research is to design a monitoring and irrigation system for verticulture plants based on soil moisture sensor data that will be processed using fuzzy logic algorithms and Wireless Sensor Network technology. The result of this research is a system implemented at 16 verticulture planting points. Sixteen sensor nodes successfully read soil moisture data in real time and sent this data to a sink node. The sink node then received and collected the moisture data sent by the sensor nodes. The algorithm used in this system is fuzzy logic, which successfully categorizes the readings from the soil moisture sensors into dry, moist, or wet categories, allowing the system to decide whether to irrigate the plants or not. The monitoring application created successfully displays the soil moisture sensor data as a percentage (%).
ANALYSIS OF CABLE NETWORK READINESS FOR THE IMPLEMENTATION OF ENTERPRISE RESOURCE PLANNING INFORMATION SYSTEMS AT THE FACULTY OF INDUSTRIAL ENGINEERING febriyanto, Akbar; Hediyanto, Umar Yunan Kurnia Septo; Fathinuddin, Muhammad
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 3 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i3.8624

Abstract

With the rapid advancement of information and communication technology, organizations increasingly adopt integrated systems to enhance efficiency and productivity. One widely adopted technology is Enterprise Resource Planning (ERP), a comprehensive management system that integrates various business functions, including finance, manufacturing, inventory, and human resources. Implementing an ERP system requires a robust network infrastructure, particularly in terms of quality of service (quality of service). This study aims to evaluate the readiness of the cable network infrastructure across three buildings at the Faculty of Industrial Engineering, Telkom University, to implement an Odoo-based ERP system. The research employs the Network Development Life Cycle (NDLC) methodology, focusing on crucial quality of service parameters such as throughput, delay, jitter, and packet loss. Data were collected through observations, interviews, and network analysis using Wireshark, with tests conducted at different times (low, peak, and intermediate). The results show that the TULT Building, Mangudu Building, and Building B Cacuk networks are generally prepared for ERP implementation. For instance, in the TULT Building, the average throughput without filters at low, peak, and intermediate times was 45.296 Kbps, 50.923 Kbps, and 61.399 Kbps, respectively. Packet loss averaged 0.56%, 0.50%, and 0.65% without filters. Despite jitter values ranging from 103.73 ms to 582.40 ms, below the TIPHON standard, the ERP system remains functional as it is not highly sensitive. The study concludes that the existing network infrastructure is sufficient mainly for the Odoo-based ERP implementation, with recommendations for further improvements to address jitter issues.
APPLICATION OF SUPPORT VECTOR MACHINE ALGORITHM FOR STUDENTS' FINAL ASSIGNMENT STRESS CLASSIFICATION Wicaksono, Pandu; Sriani, Sriani
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 2 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i2.8618

Abstract

In the context of higher education, the final assignment represents the last step in a student's academic journey, a period where students are particularly susceptible to stress. Implementing machine learning techniques, such as the Support Vector Machine (SVM) method, presents a promising approach for early classification of students' stress levels and offers tailored stress management recommendations. This study adopts a quantitative research approach, aimed at classifying student stress levels using the SVM algorithm known for its high prediction accuracy. The research methodology encompasses stages like data collection, preprocessing, classification, results analysis, and accuracy evaluation. In this research, 80% of the dataset is allocated for training, while the remaining 20% is reserved for testing. The study finds that the most effective SVM kernel function is the Radial Basis Function (RBF) with a γ parameter value of 1, which, when applied using RapidMiner, achieves an accuracy of 93.33%. This research is anticipated to make a significant contribution to the development of early stress detection systems for students and offer valuable insights into leveraging machine learning technology for mental health applications. The findings demonstrate that the SVM method with the RBF kernel provides highly accurate classification results, making it a useful tool for effectively identifying student stress level
FORECASTING SALES USING SARIMA MODELS AT THE SINAR PAGI BUILDING MATERIALS STORE Aminullah, Ahmad Adiib; Idhom, Mohammad; Saputra, Wahyu Syaifullah Jauharis
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 2 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i2.8266

Abstract

Sinar Pagi Building Materials Store faces the challenge of maintaining optimal stock levels of goods to avoid excess and understock, which affects customer satisfaction and operational efficiency. This study applies the Seasonal Autoregressive Integrated Moving Average (SARIMA) method to forecast sales in the store. Leveraging its ability to model seasonal patterns on historical sales data, various SARIMA models were analyzed and compared using the Akaike Information Criterion (AIC) and Root Mean Square Error (RMSE). The dataset is divided by a 95:5 ratio into training and testing sets for robust evaluation. The results show that the SARIMA model with SARIMA notation (p,d,q)(P,D,Q  has the best model value of (1,0,0) . This model is the most suitable model based on the lowest AIC value of 1245 and the lowest RMSE of 7,95 compared to other SARIMA models after model identification using the model looping test. For other models such as model (1,0,1)  and (0,0,1) , the AIC and RMSE values are greater, namely model (1,0,1)  with AIC 1246 and RMSE of 8,05, while model (0,0,1)  gets an AIC of 1252 and an AIC of 8,15 .The lower the AIC value, the better the model and the lower the RMSE value, the better the model. This shows a superior balance between model complexity and prediction accuracy. The model manages to capture seasonal patterns in sales data, providing a pretty good prediction framework. This study shows that the SARIMA (1,0,0)  model is effective in the accuracy of the sales forecasting process so that Sinar Pagi Building Materials Store can make more reliable sales predictions, which can help in inventory planning and marketing strategies
DEVELOPMENT OF A BUGIS LANGUAGE DICTIONARY APPLICATION WITH SM-KMP ALGORITHM FOR STUDENTS IN SOUTH SULAWESI M, Effendi; Juhardi, Juhardi; Ahmad, Muhammad Sabri; Zainuddin, Zainuddin
JIKO (Jurnal Informatika dan Komputer) Vol 8, No 1 (2025)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i1.8822

Abstract

The decline in the use of the Bugis language among younger generations in South Sulawesi poses a significant challenge in preserving local languages and cultures. One solution to this issue is developing a Bugis language dictionary application based on technology, which can interactively facilitate language learning. This study aims to develop a Bugis language dictionary application using the Knuth-Morris-Pratt (SM-KMP) algorithm to improve the efficiency of word searches within the dictionary. The research method involves application development with a prototype tested in South Sulawesi schools. This application is designed with features for fast and accurate word searches and interactive elements such as quizzes and educational games to enhance student motivation in learning the Bugis language. The results show that the application improved students' vocabulary comprehension by 85%, and 90% reported increased motivation to learn Bugis due to the interactive features. The application also supports preserving local culture by integrating character education that teaches ethical values and local wisdom in Bugis. In conclusion, this Bugis language dictionary application based on the SM-KMP algorithm is practical as an interactive learning tool. It holds significant potential in preserving the Bugis language and culture
QUESTION BANK SECURITY USING RIVEST SHAMIR ADLEMAN ALGORITHM AND ADVANCED ENCRYPTION STANDARD Monica, Taris; Hadiana, Asep Id; Melina, Melina
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 3 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i3.8654

Abstract

Data security is essential. Educational question banks at vocational high schools (SMK) contain confidential information that could be misused if not properly secured. This research aims to ensure students question bank data and develop a responsive web platform for Pusdikhubad Cimahi Vocational School by implementing the integration of the Advanced Encryption Standard (AES) and Rivest Shamir Adleman (RSA) cryptographic algorithms through the encryption and decryption process. AES is a symmetric key cryptography algorithm, while RSA is an encryption algorithm based on using public keys to encrypt the keys required by AES-256. The integration of these two algorithms aims to ensure data confidentiality, prevent manipulation, and facilitate access to exam materials by authorized parties. This research shows that the process of encrypting and decrypting question data using a combination of RSA and AES was successfully carried out on the question bank system. Avalanche Effect testing shows that the RSA and AES 256-bit encryption has an Avalanche Effect level of 49.99%. Apart from that, the system feasibility test using black box testing results shows that the SIFILE system has a percentage level of 100%. It is hoped that the results of this research can serve as a data security system at Pusdikhubad Cimahi Vocational School and other educational institutions to secure the question bank from unauthorized access
IMPLEMENTATION OF THE FUZZY TIME SERIES METHOD FOR FORECASTING BLOOD NEEDS IN THE INDONESIAN RED CROSS (PMI) MEDAN Harahap, Rina Syafiddini; R, Rakhmat Kurniawan
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 2 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i2.8614

Abstract

The primary issue faced by PMI (Indonesian Red Cross) about blood requirements is often associated with insufficient blood supplies to satisfy the demand of patients, particularly during emergencies or significant catastrophes such as natural calamities. Hence, it is essential to use appropriate methodologies to forecast blood requirements accurately and determine the quantity of blood bags required in the future. When forecasting calculations using fuzzy time series, the interval length is established at the start of the calculation procedure. The duration of the gap significantly affects the establishment of fuzzy associations, which in turn affects the difference in forecast computation outcomes. The investigation reveals that Group AB has the lowest Root Mean Square Error (RMSE) value of 136.90, indicating that your model demonstrates superior accuracy in predicting blood group AB compared to other blood groups. The RMSE score for Group O is 819.5, which suggests that your model's accuracy in predicting blood group O is lower compared to other blood groups
EVALUATING POST-DIVORCE WOMEN'S AND CHILDREN'S RIGHTS FUNDING APPLICATION USING OWASP TOP TEN AND ISO 25010:2023 Oktariani, Deta; Utami, Ema
JIKO (Jurnal Informatika dan Komputer) Vol 8, No 1 (2025)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v8i1.9490

Abstract

Evaluating an information system from both performance and security aspects is crucial for anticipating and improving the quality of the information system. A High Religious Court in collaboration with the Provincial Government developed a web-based application to support one of its services, to monitor court decisions regarding alimony payments from former husbands to former wives and children in divorce cases involving civil servants. This is certainly very important because before the existence of this application, there were many complaints filed due to the non-payment of alimony. To ensure that the application runs in accordance with its purpose and that the data is secure, a comprehensive system evaluation is required. The main objective of this evaluation is to identify vulnerabilities and their mitigations, as well as to ensure that the functions in the application work as expected, so that the application's goals are achieved. To achieve this goal, this study uses the ISO 25010:2023 information system standard integrated with OWASP Top Ten to evaluate its security This study uses five ISO 25010:2023 characteristics selected according to the system's goals. The results show that the combination of ISO 25010:2023 and OWASP Top Ten effectively identifies vulnerabilities in the application's functions and security comprehensively. Overall, the functions in the application have run as expected, although there are still several things that need to be improved to enhance the quality and secure its data.
CUSTOMER CHURN PREDICTION USING THE RANDOM FOREST ALGORITHM Setiawan, Yosep; Hadiana, Asep Id; Umbara, Fajri Rakhmat
JIKO (Jurnal Informatika dan Komputer) Vol 7, No 3 (2024)
Publisher : Universitas Khairun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33387/jiko.v7i3.8711

Abstract

Customer churn prediction plays a vital role in modern business, accurately influencing strategic and operational decisions that influence customer loyalty to a service. Customer churn focuses on customer retention being more profitable than attracting new customers because long-term customers provide lower profits and costs while losing customers increases the costs and need to attract new customers. However, customer churn still occurs frequently and cannot be predicted. If customer churn is left unchecked, it will endanger the company or banking industry because it can cause loss of income, damage reputation, and decrease market share. Random Forest, a data mining technique, was used in this research because of its ability to predict and handle many variables. This research aims to predict customer churn using the Random Forest method with datasets from Europe, especially France, Spain, and Germany, hoping to benefit the banking industry by identifying customers at high risk of abandoning services. This research is expected to benefit business people from customer churn predictions. Especially in the banking industry, it can help identify customers at high risk of abandoning service. Thus, companies can take appropriate steps to retain these customers, increase customer retention, strengthen customer loyalty and optimize their business performance. The results of this research are an accurate system for predicting customer churn in the future. The research obtained accuracy results of 87% in predicting customer churn using accuracy testing in the form of a confusion matrix.

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