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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Teknologi Jurnal Script Jurnal Teknoinfo Jurnal Ilmiah Media Sisfo Bantenese Jurnal Pengabdian Masyarakat Building of Informatics, Technology and Science Jurnal Mantik Journal of Informatics, Information System, Software Engineering and Applications (INISTA) Jurnal Teknik Informatika (JUTIF) Journal of Dinda : Data Science, Information Technology, and Data Analytics JOMPA ABDI: Jurnal Pengabdian Masyarakat eProceedings of Engineering Jurnal Informatika Polinema (JIP) Pengabdian Kepada Masyarakat Bidang Teknologi dan Sistem Informasi Jurnal Ecotipe (Electronic, Control, Telecommunication, Information, and Power Engineering) Scientific Journal of Informatics Jnanadharma Jurnal Komtika (Komputasi dan Informatika)
Utami, Annisaa
Institut Teknologi Telkom Purwokerto
Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
AGILE SOFTWARE DEVELOPMENT ON DESIGN AND LAYOUT OF BOOKING ROOM WEBSITE (CASE STUDY: WITEL TELKOM YOGYAKARTA) Reva Rahardian; Ananda Aulia Rizky; Narantyo Maulana Adhi Nugraha; Faisal Dharma Adhinata; Annisaa Utami
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 1 (2022): JUTIF Volume 3, Number 1, February 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.1.132

Abstract

Online booking is one way to find and order easily using media connected using the internet network so that it can be accessed anywhere and anytime easily so that it can increase time effectiveness. One of the applications is Telkom Room which functions to help Telkom employees to book meeting rooms online to make them easier to use and don't need to come to the office and contact them to use them. The Booking Room website also uses the agile development method because the software development process requires a relatively short period and does not require enormous resources. Therefore, changes can be handled more quickly according to client needs and provide feedback to the development team in the manufacturing process. The existence of this Booking Room website can help facilitate the user in the room booking process so that the user does not have to come directly to the office and so that it is fast and easy to carry out the meeting process that will be held.
WEB-BASED APPLICATION WITH SDLC WATERFALL METHOD ON POPULATION ADMINISTRATION AND REGISTRATION INFORMATION SYSTEM (CASE STUDY: KARANGKLESEM VILLAGE, PURWOKERTO) Teguh Rijanandi; Tri Dimas Cipto Satrio Wibowo; Ikadhanny Yudyan Pratama; Faisal Dharma Adhinata; Annisaa Utami
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 1 (2022): JUTIF Volume 3, Number 1, February 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.1.145

Abstract

Based on research conducted in one of the Neighborhood Associations (RT) in Karangklesem Village, South Purwokerto found that a population administration and recording system did not use computer technology. Our authors created a web-based village information system design using CodeIgniter based on this research. The software development method used is the Software Development Life Cycle (SDLC) Waterfall method. With the software that we have developed, it is hoped to help facilitate all administrative matters and village records that are currently still manual. The design we made uses the PHP programming language version 7.4 CodeIgniter framework with a MySQL database. We hope that this system design can reduce human errors in recording administration.
DIAGNOSIS SYSTEM IN CHICKEN DISEASE USING FORWARD CHAINING METHOD Annisaa Utami; Faisal Dharma Adhinata; Yaqutina Marjani Santosa
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 3 (2022): JUTIF Volume 3, Number 3, June 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.3.179

Abstract

Chickens are animals that are mostly kept by the community both on a large and small scale traditionally. Because the population is large, the disease is also more complex, from mild disease to diseases that can be transmitted to humans so that it can cause death such as bird flu. Diseases in chickens such as Newcastle Disease (ND), Infectious Bronchitis (IB), Gumboro Disease and Flu. Problems about chicken disease faced requires a system to help in diagnosing diseases in chickens. Expert system is a system in which a variety of knowledge comes from an expert so that users can consult. Forward Chaining method is a method of searching or forward-looking where tracking begins with information that da and combine rules to produce an expected conclusion or goal. The study used 9 disease data, 34 symptom data and 20 cases of chicken disease. The results of the accuracy test get a value of 90%. The purpose of this study is: diagnosing chicken disease as a first step to applying artificial intelligence in the medical world, designing and applying systems. Based on the data, it can be concluded that the protythepe expert system by implementing the Forward Chaining Method can help farmers and chicken owners in diagnosing chicken diseases.
Expert System for Diagnosing Autoimmune Diseases Using Dempster–Shafer and Fuzzy Logic: A Case Study of Prof. Dr. Margono Soekarjo Regional Hospital Rahmadani, Ragil Putri; Nur, Yohani Setiya Rafika; Utami, Annisaa
Jurnal Teknik Informatika (Jutif) Vol. 7 No. 2 (2026): JUTIF Volume 7, Number 2, April 2026
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2026.7.2.5585

Abstract

Autoimmune diseases, particularly lupus, pose a major challenge in healthcare because their symptoms are highly variable and often mimic other medical conditions. Delayed diagnosis can worsen patient outcomes, increase the risk of severe complications, and even lead to death, especially in healthcare facilities with limited autoimmune subspecialists, such as Prof. Dr. Margono Soekarjo Regional Hospital. This study aims to develop a web-based expert system to support early screening for lupus by combining the Fuzzy Tsukamoto method and the Dempster-Shafer theory. The Fuzzy Tsukamoto method is used to represent symptom uncertainty through fuzzification, while the Dempster-Shafer theory is used to combine evidence from individual symptoms to produce confidence levels for possible diagnoses. The research process included a literature review, expert interviews, construction of a symptom–disease knowledge base, design of fuzzy rules, implementation of mass function calculations, and development of a web-based diagnostic application. Testing was conducted using ten patient test cases with confirmed expert diagnoses. The test results showed an accuracy of 100%, with all system diagnoses matching the experts’ diagnoses. The strength of this research lies in the integration of two inference methods to improve the accuracy of evidence calculation, and in the use of symptom uniqueness and occurrence parameters that were validated directly by experts. This system has the potential to serve as an effective early screening tool for healthcare providers and patients, particularly in resource-limited settings. From an informatics perspective, this study contributes to the development of intelligent decision support systems by demonstrating the effectiveness of a hybrid reasoning approach in handling uncertainty in medical diagnosis. The integration of Fuzzy Tsukamoto and Dempster–Shafer methods enhances diagnostic consistency and reliability, making the proposed system relevant for research in expert systems and medical informatics.
Co-Authors Abednego Dwi Septiadi Affiyanti, Rakhma Yuli Agus Sihabuddin Alon Jala Tirta Segara Amalia Beladinna Arifa Ananda Aulia Rizky Aulia Romadloni Nur Indarti Auliya Burhanuddin Bita Parga Zen Dasril Aldo Dedy Agung Prabowo Deni Prasetyo, Deni Dharma Putra, Adhitana Dimas Fanny Hebrasianto Permadi Erfanti Fatkhiyah Evia Zunita Dwi Pratiwi Faisal Dharma Adhinata Fauzan, Fikrian Akmal Firmansyah, Muhammad Raafi'u Hakim Putra Antara, Wildan Daffa’ Hapiz, Ervan Ikadhanny Yudyan Pratama Indriyati, Rini Jesica Emarapenta Br Sinulingga Jumanto Unjung Lutfi Hakim, Ahmad Mike, Amran Muhamad Azrino Gustalika Mustafidah, Zahrotul Narantyo Maulana Adhi Nugraha Nicolaus Euclides Wahyu Nugroho Novian Adi Prasetyo Rahmadani, Ragil Putri Ramadhani, Ike Fitria Ratih Windu Arini Reva Rahardian RR. Yuliana Rachmawati Sapta Eka Putra Siti Khomsah, Siti Syam, Siti Nur Fadilah Teguh Rijanandi Tri Dimas Cipto Satrio Wibowo Tri Ginanjar Laksana Trihastuti Yuniati Usman, Muhammad Lulu Latif Wanda Ilham Yaqutina Marjani Santosa Yohanes Suyanto Yohani Setiya Rafika Nur