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Journal of Informatics, Information System, Software Engineering and Applications (INISTA)
Published by Universitas Telkom
ISSN : -     EISSN : 26228106     DOI : https://doi.org/10.20895/inista
Core Subject : Science,
Computer Science & IT
Journal of Informatics, Information System, Software Engineering and Applications (INISTA) is a scientific journal published by Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) of Institut Teknologi Telkom Purwokerto with ISSN 2622-8106 , Indonesia. Journal of INISTA covers the field of Informatics, Information System, Software Engineering and Applications. First published will be in September 2018 for an electronic version. The aims of Journal of INISTA are to disseminate research results and to improve the productivity of scientific publications. Journal of INISTA is published twice in Mei and November. Publication will be published "Volume 2 number 2" in May 2020.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 88 Documents
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Digitalisasi Layanan Kesehatan Desa Grujugan Melalui Pengembangan E-Posyandu menggunakan Metode SDLC-Waterfall Haidar Fadhila Fiqa; Rendi Putra Pradana; Mochammad Hanif; Rio Ghaniy Septiansyah
Journal of INISTA Vol 5 No 1 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v5i1.891

Abstract

Posyandu is a basic health activity organized from, by and for the community assisted by health workers in an effort to improve the health quality of each village. Posyandu is a community-based health effort. Health information is generated from all routine programs carried out by the village posyandu. In managing the data, the information obtained is the main problem faced by the Posyandu in Grujugan Village. Limited access to information also causes villagers to be unable to control the health of their families, starting from children, mothers and the elderly. In an effort to improve the quality of information on examination results, a web-based posyandu information system called eposyandu was designed. The eposyandu application is built using the SDLC (System Develop Life Cycle) method with a waterfall model which is quite effective in software development. The results of the tests carried out on the application by the cadres showed results that were in accordance with the needs analysis and program design. The use of the eposyandu application is expected to improve the quality of the Posyandu information system in Grujugan Village.
Indonesian Sentiment Analysis towards MyPertamina Application Reviews by Utilizing Machine Learning Algorithms Fiddin Yusfida A'la
Journal of INISTA Vol 5 No 1 (2022): November 2022
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v5i1.838

Abstract

This paper is a report of experiment analysis on sentiment analysis in application review that explored the methods and the data. Application review contains a large amount of raw data that has been published by users in the form of text, image, audio, and video. The data can be converted into valuable information by using sentiment analysis. In this work, around 5000 Indonesian review in MyPertamina google play application are analyzed. The goal of this study was to investigate the effectiveness of using sentiment analysis to extract valuable insights from application reviews. Some techniques were applied during this work, such as data collection, pre-processing, feature extraction, TF-IDF text representation, machine learning modelling, and evaluation phase. The machine learning algorithms that we used are Linear Support Vector Classification (Linear SVC) and Multinomial Naïve Bayes (Multinomial NB). The result shows both machine learning models present good performance in this data. The accuracy of Multinomial NB reaches 95%, while Linear SVC obtains 96% of accuracy. The results of the experiment suggest that both Linear SVC and Multinomial NB are well-suited for sentiment analysis tasks on Indonesian language data. Future work could include expanding the dataset to include reviews from a broader range of applications, or evaluating the performance of additional machine learning algorithms. In addition, word cloud analysis also performed in this experiment. The word cloud shows that positive and negative sentiment present some popular words which appear inside the review. It would also be interesting to conduct a deeper analysis of the word cloud results to identify common themes and trends in the positive and negative sentiments expressed in the reviews
Expert System for Identifying Pregnant Using Forward Chaining Gilang Aditia; Afzal Ziqri; Aldhan Tri Maulana; Faisal Dharma Adhinata
Journal of INISTA Vol 5 No 2 (2023): May 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v5i2.494

Abstract

Pregnancy is a biological process in which sperm and eggs meet each other to fertilize, and the fetus is formed in the uterus. But it's difficult; pregnant mothers sometimes have problems or discomfort during pregnancy. In addition, in areas far from the city, there are many obstacles to consulting an obstetrician. Therefore, it will be dangerous if mothers experience problems and find it difficult to get first aid. This research aims to create an expert system for pregnant women where it is not difficult for a mother to go to the doctor to ask about her complaints. The solution offered in this study is easy to access to the SP BUMIL website and automatically enters all mothers' complaints into the system. This system also provides a diagnosis and advice to pregnant women as to the best steps and an explanation of what the pregnant woman is suffering from. This expert system uses the forward chaining method, which has the advantage of producing a solution to a problem; in other words, being able to consider a problem and draw conclusions according to the facts. On this website, there is a disease information menu and also the results of the diagnosis
Evaluation Of The Level Of Usefulness Of The “Jeknyong” Application Using The Computer System Usability Questionnare (CSUQ) Method Yohanna Sitorus; Sarah Astiti; Resad Setyadi
Journal of INISTA Vol 5 No 2 (2023): May 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v5i2.1004

Abstract

The Jeknyong application (Ojeke Inyong) is a household garbage collection service application with a transaction value. However, the use of the Jeknyong application has not been maximized because there are obstacles, such as several features still in development. This study discusses the Evaluation of the Level of Usability of the "Jeknyong" Application using the Computer System Usability Questionnaire (CSUQ) method, where Usability is a technique to find out how easily users can use the system, how efficiently and effectively the system can help users achieve goals. Data collection used a questionnaire with Banyumas community subjects who knew the Jeknyong application. The results are in the form of an indexed percentage of 85% in the Agree Interval category. The first variable System Usability (SYSUSE) evaluation results were 5135 or in the agreed interval. The second variable Information Quality (INFOQUAL) was 4588 or in the Fairly Disagree category. The third variable, Interface Quality (INTERQUAL), was 2039 or in the Agree category; the third variable, Overall Usability (OVERALL), gets a result of 709 or is in the Strongly Agree interval.
Analysis of Brute Force Attacks Using National Institute Of Standards And Technology (NIST) Methods on Routers Catur Pamungkas; Purwono Hendradi; Dimas Sasongko; Afwan Ghifari
Journal of INISTA Vol 5 No 2 (2023): May 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v5i2.1039

Abstract

Abstract The rapid development of technology, including the internet, can trigger data security issues that harm individuals, organizations, or government agencies. One type of attack often used is a Brute Force attack, which falls under the category of cybercrime. The National Institute of Standards and Technology (NIST) often analyzes digital evidence in these cases. This study analyzes Brute Force attacks using NIST methods on a router that is an additional router to the main router. On the network at the Faculty of Engineering, Universitas Muhammadiyah Magelang (UNIMMA), information about the attack and patterns used by the attacker were successfully obtained, including the IP address and time of the attack. It is concluded that the additional router is vulnerable to Brute Force attacks, and firewall settings are necessary to secure it.
An Extreme Programming Approach for Instructor Performance Evaluation System Development Agung Pambudi; Winda Apriandari
Journal of INISTA Vol 5 No 2 (2023): May 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v5i2.1050

Abstract

The aim of this research was to develop an instructor performance evaluation system for Information Technology Training Center (ITTC) of Islamic State University (UIN) Sunan Kalijaga Yogyakarta using Extreme Programming (XP) methodology. The system was designed to evaluate the performance of instructors in the ICT (Information and Communication Technology) Training process based on certain criteria. The XP method was an agile software development approach that emphasizes iterative development, continuous testing, and customer involvement. The proposed system was developed through several iterations that involve continuous feedback from the ITTC management. The development of the system followed the XP process, which was included planning, designing, coding, testing, refactoring, and integrating. Trainees can access the system to evaluate instructors, and the system helped the ICT training management to determine the instructor's performance for future employment contracts. The system has undergone functionality testing, which resulted in a 100% functionality test and 95,5% of usability test. This system was an effective tool for evaluating the performance of ICT training instructors and can be used to determine the effectiveness of training programs. The system's usability and functionality had been tested and proven to be highly effective, making it a valuable resource for ICT training management.
Gastric Disease Diagnostic Expert System Application Using the Fuzzy Mamdani Method Shindy Millati Rachma; M. Nishom; Sharfina Febbi Handayai
Journal of INISTA Vol 5 No 2 (2023): May 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v5i2.1057

Abstract

The level of awareness among Indonesian society regarding the importance of maintaining gastric health is still very low, even though gastric diseases can significantly disrupt daily activities. In a medical examination, a doctor detects diseases in a patient's body based on their symptoms or complaints. The patient's action is to meet the doctor in person, and the doctor asks about the symptoms experienced by the patient. In the manual system, there is a drawback where patients have to visit the doctor for consultation or to have their diseases examined, and they also need to prepare the necessary fees for the examination. Such a manual system can be simplified with an information system where patients don't need to visit the doctor to diagnose their diseases. Therefore, the researcher will develop a gastric disease diagnostic expert system application using the fuzzy Mamdani method. The aim is to make it easier for patients/the public to identify the type of disease based on the symptoms experienced, as well as to provide information on solutions, actions, and medication for the disease. The methodology used in developing the gastric disease diagnostic expert system application involves four stages: fuzzification process, implication function, inference process (rules), and defuzzification. The research flow includes data collection through interviews and data sampling, data analysis, calculation using the fuzzy Mamdani method, implementation, and testing using a black box. The result of this research is a gastric disease diagnostic expert system application using the fuzzy Mamdani method with an accuracy of 65%. This application can help individuals to identify the type of disease based on the symptoms experienced without having to immediately consult a doctor, thus avoiding potential issues
Automatic Birdsong Splitting and Syllabic Analysis of Jalak Suren Agi Prasetiadi; Julian Saputra
Journal of INISTA Vol 5 No 2 (2023): May 2023
Publisher : LPPM INSTITUT TEKNOLOGI TELKOM PURWOKERTO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20895/inista.v5i2.1091

Abstract

The study of birdsong has received relatively limited attention in the field of artificial intelligence, despite its long-standing intrigue and the question of whether birds possess a form of language. Previous research has provided evidence suggesting the presence of structurally organized words recognized by birds, such as the strong reactions observed in Japanese tits and Pied babblers when exposed to specific sequences of artificially played calls. Altering the speed of a sequence also influences the birds' responses, further supporting the existence of organized linguistic units in avian vocalizations. In this study, we propose a novel approach for analyzing birdsong by employing automatic syllable segmentation and syllabic similarity analysis. Our focus is on the Jalak Suren species (Sturnus contra), renowned for its melodious song. Through the identification and categorization of distinct syllabic units in birdsong recordings, we investigate the statistical occurrence of these syllables within the sequence of birdsong. Our findings reveal remarkable similarities between the statistical occurrence of syllables in birdsong and those found in human language passages

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