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All Journal El-Hayah : Jurnal Biologi Prosiding Seminar Nasional Sains Dan Teknologi Fakultas Teknik Telematika Indonesian Journal of Community Services Jurnal Mediasosian : Jurnal Ilmu Sosial dan Administrasi Negara Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Nasional Teknik Elektro dan Teknologi Informasi RENATA Jurnal Pengabdian Masyarakat Kita Semua BACA: Jurnal Dokumentasi dan Informasi
Teguh Cahyono
Informatika, Fakultas Teknik, Universitas Jenderal Soedirman, Indonesia
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Computer Science & IT Control & Systems Engineering Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Environmental Science Immunology & microbiology Library & Information Science Medicine & Pharmacology Social Sciences Other

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Journal : Jurnal Teknik Informatika (JUTIF)

 1 
INFORMATION SYSTEM FOR MONITORING COMMUNITY PARTICIPANT PROGRAM SERVICES IN THE COVID-19 PANDEMIC ERA Bangun Wijayanto; Yogiek Indra Kurniawan; Teguh Cahyono; Indra Permana Jati
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.2022.3.1.123

Abstract

Community Participant Program Services (In Indonesia: Kuliah Kerja Nyata/KKN) is an activity that must be carried out by final year students in Indonesia. Community Participant Program Services are intended so that students can apply the knowledge gained in lectures to people's lives. The Covid-19 pandemic made all available resources mobilized to be able to cope with the pandemic that occurred, Community Participant Program Services were directed by the Indonesian Ministry of Education and Culture to be able to help the situation by making Community Participant Program Services in the form of Covid 19 volunteers. Indonesia is an archipelagic country consisting of 33 provinces and more than 17000 islands with diverse geographical contours and unattended telecommunication facilities in all locations requiring a volunteer monitoring system that is simple, effective, and easy to use. The system proposed in this research is based on telegram which has the advantage of ease and speed of development in adapting to changes in the rules that apply during the epidemic period. This research has contributed to monitoring the activities and health of the 2847 Covid-19 volunteers from Universitas Jenderal Soedirman who are scattered throughout Indonesia and facilitating decision.
FRONTEND DEVELOPMENT OF COURSE SCHEDULING SYSTEM INTEGRATED SIA AT ENGINEERING FACULTY UNIVERSITY OF JENDERAL SOEDIRMAN USING DEVOPS METHOD Herfina Intan Yuanita; Bangun Wijayanto; Teguh Cahyono
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 2 (2022): JUTIF Volume 3, Number 2, April 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.2.227

Abstract

The Course Scheduling System is a website-based system that has the function of compiling course schedules at the Faculty of Engineering, Jenderal Sudirman University. This system is used by several users, namely Bapendik/admin and vice dean, while the results of the scheduling will be inputted into SIA and viewed by SIA users. This system has features to manage lecturer data, course data, room data, slot data, day data, and arrange course scheduling. Previously, the preparation of courses was still using the manual method, namely by entering the course data one by one. Based on the existing problems, the author tries to build a frontend of the Course Scheduling System to facilitate users in compiling a computerized and automatic course schedule through the system. The system is built using the DevOps development method and the javascript library, namely React Js. The results of system testing show that all functions on the system can run according to user needs.
IMPLEMENTATION OF THE WATERFALL METHOD IN THE DESIGN OF A WEBSITE-BASED BOOK LENDING SYSTEM Teguh Cahyono; Susi Setianingsih; Dadang Iskandar
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.2022.3.3.285

Abstract

The application of information technology in the library can increase the acceleration of information to the public. One of the library activities that quite a lot of using paper media is borrowing books. The use of ledgers in borrowing books is tantamount to spending a lot of paper with large data and will cause piles later. Therefore, it is necessary to update the book lending system with integrated information technology in order to increase efficiency and effectiveness in the library. The Book Borrowing System or known as TEMANKU is a book lending system that is integrated with the internet to improve operations in book lending activities in the library. In carrying out this activity, a method must be used to implement it. The waterfall method was chosen because it is easy to implement and the system implementation can be implemented in a better and structured manner. On the other hand, the approach used in the design uses data flow diagram ( DFD). The results of this study resulted in the design of a website-based book lending system.
OPTIMIZATION OF THE K-NEAREST NEIGHBORS ALGORITHM USING THE ELBOW METHOD ON STROKE PREDICTION Febri Sutomo; Daffa Ammar Muaafii; Daffa Naufaldi Al Rasyid; Yogiek Indra Kurniawan; Lasmedi Afuan; Teguh Cahyono; Eddy Maryanto; Dadang Iskandar
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 1 (2023): JUTIF Volume 4, Number 1, February 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.1.839

Abstract

Stroke is the second most deadly disease in the world according to WHO. The sufferer has an injury to the nervous system. Because of this, health experts, especially in the field of nursing, need special attention. Technological advances continue to change over time so that information needs are needed in life. Currently the data on stroke sufferers is extensive enough so that adequate information presentation techniques are needed so that the information received is very accurate and in accordance with user needs. Therefore, it is necessary to process data mining on stroke patient data to obtain useful information for users. This study aims to prove the performance of the Elbow Method to produce the optimum k value in the stroke prediction data using the K-Nearest Neighbors (KNN) algorithm. The optimum k value is generated from the Elbow Method which is executed with the Google Collaboratory using the Python programming language. The test results show that the Elbow Method produces the optimum k value at k = 7. The KNN model that uses the optimum k value from the Elbow Method can increase the accuracy and precision values ​​reaching 6% and 0.12, respectively.
Co-Authors Akhmad Khahlil Gibran Anin Ammbya Soulani Bangun Wijayanto Bangun Wijayanto Berry Fakhry Hanifa Dadang Iskandar Daffa Ammar Muaafii Daffa Naufaldi Al Rasyid Eddy Maryanto Eddy Maryanto Eddy Maryanto Febri Sutomo FX Anjar Tri Laksono Gibran, Akhmad Khahlil Gito Sugiyanto Gito Sugiyanto Haryono, Bambang Herfina Intan Yuanita Hesti Susilawati Huzaely Latief Sunan Indra Permana Jati Kurniawan, Yogiek Indra Lasmedi Afuan Muhammad Asmuni Hasyim Muhammad Luthfi Muhammad Zein Albalki Musta'ana Nur Chasanah Nur Chasanah Purnomo, Widhiatmoko Herry Rani Aulia Imran Sarwono Sarwono Septiana, Vita Nugrah Suroso Suroso Susi Setianingsih Tamaulina Br Sembiring Tigar Putri Adhiana Ulum, M. Bahrul Widhiatmoko Herry Purnomo