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All Journal Jurnal Simetris Jurnal Teknologi dan Manajemen Informatika Bulletin of Electrical Engineering and Informatics Jurnal Teknik Elektro Jurnal technoscientia Jurnal Teknologi Informasi dan Ilmu Komputer WARTA Emitor: Jurnal Teknik Elektro Jurnal Ilmiah Dinamika Rekayasa (DINAREK) Jurnal SOLMA Jurnal Ilmiah Matrik Jurnal Eksplora Informatika Jurnal Kebidanan JURNAL INSTEK (Informatika Sains dan Teknologi) KOMPUTA : Jurnal Ilmiah Komputer dan Informatika Jurnal Manajemen Informatika Jurnal Teknologi dan Informasi Jurnal Ilmiah Sinus JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Abdimas Mandiri Respati Jurnal Pesut : Pengabdian untuk Kesejahteraan Umat JURNAL TEKNOLOGI TECHNOSCIENTIA Jurnal Teknik Informatika (JUTIF) Jurnal Pendidikan dan Teknologi Indonesia Jurnal Pengabdian Masyarakat Indonesia Jurnal Abdi Masyarakat Indonesia Jurnal Penelitian Inovatif Jurnal Ilmu Komputer dan Informatika Proceeding ISETH (International Summit on Science, Technology, and Humanity) Prosiding University Research Colloquium Abdi Teknoyasa J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat) Politeknosain Jurnal INFOTEL
Kurniawan, Yogiek Indra
Informatics, Engineering Faculty, Universitas Jenderal Soedirman, Indonesia
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Journal : Jurnal Teknik Informatika (JUTIF)

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SISTEM PENDUKUNG KEPUTUSAN PEMILIHAN PEGAWAI TERBAIK MENGGUNAKAN SIMPLE ADDITIVE WEIGHTING Arfandi Ahmad; Yogiek Indra Kurniawan
Jurnal Teknik Informatika (Jutif) Vol. 1 No. 2 (2020): JUTIF Volume 1, Number 2, December 2020
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2020.1.2.14

Abstract

Dalam suatu perusahaan yang berkembang, apresiasi pegawai sangat dibutuhkan untuk meningkatkan moral dan kinerja. Penilaian yang akurat dibutuhkan untuk dapat menunjuk pegawai terbaik. Namun, penilaian akan menjadi lebih kompleks seiring dengan bertambahnya pegawai dan beragamnya komponen penilaian. Pada CV. Jenderal Software, penilaian pegawai tersebut masih dilakukan secara manual, sehingga menjadikan proses penilaian kurang efektif dan efisien. Untuk memaksimalkan proses penilaian pegawai terbaik, Sistem Pendukung Keputusan Pemilihan Pegawai Terbaik merupakan suatu sistem yang dapat membantu dan memudahkan perusahaan dalam melakukan proses tersebut. Tujuan dari paper ini adalah untuk membuat sebuah sistem pendukung keputusan menggunakan algoritma Simple Additive Weighting untuk meningkatkan keakuratan, efisiensi, serta efektifitas sistematika penilaian pegawai yang terjadi pada perusahaan CV. Jenderal Software. Pengumpulan data dilakukan dengan observasi langsung serta wawancara kepada pengguna, yaitu pimpinan perusahaan. Data yang didapatkan kemudian diproses dan dianalisis sehingga dapat dijadikan dasar pembuatan sistem. Hasilnya, sistem dapat meningkatkan keakuratan, efisiensi, dan efektifitas proses. Hasil pengujian Blackbox menunjukkan bahwa system telah berjalan sesuai dengan yang diharapkan. Sedangkan dari hasil pengujian User Acceptance Test, didapatkan nilai preferensi 97,5% dengan indikator “Sangat Baik” yang menunjukkan bahwa system tersebut sudah sesuai dan layak dipakai.
PREDICTION FOR COOPERATIVE CREDIT ELIGIBILITY USING DATA MINING CLASSIFICATION WITH C4.5 ALGORITHM Yogiek Indra Kurniawan; Annastalia Fatikasari; Muhammad Luthfi Hidayat; Mohamad Waluyo
Jurnal Teknik Informatika (Jutif) Vol. 2 No. 2 (2021): JUTIF Volume 2, Number 2, December 2021
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2021.2.2.49

Abstract

BMT Artha Mandiri is a cooperative that provides savings and loans services. In providing credit, BMT Artha Mandiri still uses the manual method, namely by looking at the ledger and history of each customer, to find out whether the applicant is worthy or not worthy of credit so that it is not effective and efficient. The purpose of this research is to make an application that can predict whether a prospective customer is eligible or not to be given credit. Predictions are made using the data mining classification method, namely the C4.5 algorithm based on the supporting data each customer has to classify which factors have the most influence on the level of credit payments in the cooperative. In a built application, the C4.5 algorithm produces a decision tree that is easy to interpret based on the existing variables. In the application, there are features that can be used to make decisions about customers who will apply for credit at the cooperative. The blackbox test results on the application show that the application has been able to run as expected, while the results of the algorithm test also show that the application has been able to implement the C4.5 algorithm correctly. In addition, the results of testing for accuracy show that the maximum average value of Accuracy is 79.19%.
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.
ANDROID-BASED SHUTTLE ORDER APPLICATION USING FRAMEWORK FLUTTER Mochammad Muslih Maruzi; Dadang Iskandar; Yogiek Indra Kurniawan
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.2022.3.2.150

Abstract

The shuttle ticket order process is the main process when someone is going to travel using shuttle transportation. The process of ordering shuttle tickets by visiting shuttle pool in the area or ordering by call has several problems that often make prospective passengers feel a lack of effectiveness and efficiency. This study aims to create an application that makes it easier for prospective passengers to order shuttle tickets and obtain shuttle information and make it easier for service providers to manage fleets and manage orders. This application created by using the waterfall method. The main stages in the system development life cycle in this method, namely: analysis, design, coding, and testing. This application is divided into two parts, Android-based using the Flutter Framework for potential passengers and web-based with PHP programming language for service providers. Black Box test results show valid results, which means the application is as expected. The results of the User Acceptance Test show an average value of 87% in "Very Good" category, which means this application is feasible to use.
PARALLEL COMPUTATION DESIGN OF DETERMINANT AND INVERSE OF A MATRICE USING COMPUTATIONAL GEOMETRY ANALYSIS TECHNIQUE Eddy Maryanto; Yogiek Indra Kurniawan
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.2022.3.1.151

Abstract

The aim of this research is to study the use of computational geometry analysis technique in detail to design a parallel computation to determine determinant and inverse of a matrice using Gauss-Jordan method. In comparing with dependence graph technique, it is well known that computational geometry analysis gives us an easier way in determining determinant and inverse of a matrice, moreover for handling a computation domain with dimension of higher than 3. The type of scheduling function used in this research is of linear type. Some important facts are discovered in this research, the most important one is, this technique gives us the ease in arranging data scheduling scheme based on the observation of the computation domain. The other important fact is, it is also give us the ease to understand the scheme of the data scheduling since this technique can be collaborated with dependence graph technique for visualizing the data scheduling
ENGLISH LEARNING EDUCATIONAL GAMES FOR HEARING AND SPEECH IMPAIRMENT STUDENTS AT SLB B YAKUT PURWOKERTO Yogiek Indra Kurniawan; Uki Hares Yulianti; Nadia Gitya Yulianita; Andika Putra Pratama
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.2022.3.3.317

Abstract

Students with hearing and speech impairment at the Special School for the Hearing and Speech Impairment (SLB B) Yakut Purwokerto do not have high level of interest in learning. Moreover, the use of manual learning media which are based on books and blackboards also causes a lack of students’ understanding. This research aims to develop an alternative learning media which are based on educational games to learn English for students with hearing and speech impairment at SLB-B Yakut Purwokerto with the name "Matching" (Match a Thing). The research method in developing this game was the Multimedia Development Life Cycle which consisted of six stages, namely Concept, Design, Assets / Materials Collecting, Manufacturing (assembly), Testing, and Release (distribution). This educational game was built using the Construct 2 game engine and could be accessed using a web browser. The result of this research is an English-learning-educational game that has several menus, including Main Menu, Help, Play, Library, and Evaluation/Quiz. Based on a blackbox testing, valid results were obtained for all given test scenarios, therefore this game is in accordance with the application developer’s expectations. In addition, based on the User Acceptance Testing (UAT), the average perception result was 89% with an indicator of the "Very Good" category which indicates that this application is feasible to use in the English learning process.
IMPLEMENTATION OF USER INTERFACE AND USER EXPERIENCE CAR WASH SERVICE PROVIDER ANDROID BASED APPLICATION “SPOTLESS” USING DESIGN THINKING METHOD Diva Kurnia Achmadi; Swahesti Puspita Rahayu; Yogiek Indra Kurniawan
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 6 (2022): JUTIF Volume 3, Number 6, December 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.6.283

Abstract

"SPOTLESS" is an Android-based mobile application that provides car wash services to assist customers in ordering car wash appointments and vehicle wash pick-up services at the customer's desired place. "SPOTLESS" can be a solution for car users to avoid long queues for car washing or the lack of time to take their car directly to the washroom. The increasing demand for vehicle washing services affects business competition in this business, causing many customers to complain because they have to wait in queues for too long, disrupting customers' routine activities. To improve customer satisfaction, the interface is designed using the design thinking method, which was tested using the eye-tracking method through 5 participants to determine the feasibility level from the user's side After 3 iterations of testing using Maze, we got a usability score of 86 which is included in the high usability category.
EDUCATIONAL GAME HIJAIYAH LETTER INTRODUCTION FOR DEAF IMPAIRMENT AND MENTALLY DISABILITIES CHILDREN Fatah Yasin Al Irsyadi; Dedi Gunawan; Avifah Hasna Nur Fadila; Yogiek Indra Kurniawan
Jurnal Teknik Informatika (Jutif) Vol. 3 No. 6 (2022): JUTIF Volume 3, Number 6, December 2022
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jutif.2022.3.6.694

Abstract

Sekolah Luar Biasa (SLB) Yayasan Asuh Anak-Anak Tuna(YAAT) Surakarta is a school that focuses on educating children with deaf impairment and mentally retarded disabilities in Surakarta. Less interest in learning and the lack of alternative learning media are problems that arise in the school, one of which is regarding the learning of hijaiyah letters. The purpose of this research is to provide a solution for schools to deal with existing problems by developing educational games to increase interest in learning for deaf and mentally retarded students and to become an alternative learning medium for teachers to students. This game was designed using Construct 2 software and for its manufacture using several steps, such as Analysis, Application Design, Application Implementation, and Testing. This game is made as easy as possible so that students can easily use it. The built application consists of several menus, namely materials, playing and quizzes. After the application has been demonstrated, the game is played by students alternately, then students and teachers are given a questionnaire to test the performance and usability of the game. The results of the blackbox test showed that the application was in accordance with what was expected by the application developer, and the results of the User Acceptance Test obtained an average value of 91.908%, indicating that this game makes it easier for teachers to convey material and provides convenience for students in understanding learning material.
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.
IMPLEMENTATION OF PARTICLE SWARM OPTIMIZATION IN K-NEAREST NEIGHBOR ALGORITHM AS OPTIMIZATION HEPATITIS C CLASSIFICATION Susi Setianingsih; Maria Ulfa Chasanah; Yogiek Indra Kurniawan; Lasmedi Afuan
Jurnal Teknik Informatika (Jutif) Vol. 4 No. 2 (2023): JUTIF Volume 4, Number 2, April 2023
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2023.4.2.980

Abstract

Hepatitis has become a public health problem that is generally caused by infection with the hepatitis virus. One type of hepatitis caused by a virus is Hepatitis C. This disease can cause patients to experience inflammation of the liver. In the worst conditions, it can even lead to death. Initial predictions need to be made to increase the awareness of each individual against the threat of Hepatitis C by using the K-Nearest Neighbor method. K-Nearest Neighbor is a classification method that can give a pretty good percentage result in classifying, especially when using large training data. However, K-Nearest Neighbor still has a weakness, namely the determination of the value of K that is less precise so that it can reduce classification performance. To overcome these shortcomings, the researchers used the implementation of Particle Swarm Optimization on K-Nearest Neighbor to find the optimal K value. The existence of this implementation is expected to be able to increase the value of accuracy in classification and overcome solutions to weaknesses in the K-Nearest Neighbor algorithm. From the results of the K-Nearest Neighbor test, the accuracy value is 97.24% at K=5 and K=3. As for the results of testing the implementation of Particle Swarm Optimization on the K-Nearest Neighbor, there was an increase in the accuracy value of 2.07% to 99.31%. This test shows that the implementation of PSO can overcome the shortcomings of KNN and this model can be used as the best solution to determine the classification of Hepatitis C disease.
Co-Authors Abdul Kemal Nasa’i Wibowo ABIDIN, ANIDA ZULAIFA Aditama, Maulana Rizki Affandi, Syihabuddin Aflit Nuryulia Ahmad Mardalis, Ahmad Aini Hanifa Ajib Rosyadi Aldi Farhan Razak Alfarizi, Rizki Zakaria Andika Putra Pratama Andika Rustam Andri Lukman Nurjaman Anin Ammbya Soulani Aniq Hudiyah Bil Haq, Aniq Hudiyah Bil Anisah Tri Setyowinarti Annas, Rifai Annastalia Fatikasari Antaristi, Monika Arfandi Ahmad Arief Kelik Nugroho Arkham Zahri Rakhman Avifah Hasna Nur Fadila Ayu Putri Wardhani Aziz Abdul Rahman Aziz Prasuci Priambadha Bagas Ario Dewanto Bangun Wijayanto Bangun Wijayanto Bangun Wijayanto Bangun Wijayanto Budi Santoso Chrismawan, Stephen Prasetya Dadang Iskandar Dadang Iskandar, Dadang Daffa Ammar Muaafii Daffa Naufaldi Al Rasyid Dedi Gunawan Deny Febriyanto Desy Puspitassari Dhenok Prastyaningtyas Paramesvari Diky Alfian Kurniawan Diva Kurnia Achmadi Dzulfikar, Muhammad Zaki Eddy Maryanto Eddy Maryanto Eddy Maryanto Efrina Fitriani Fakhrur Razi Farida Angguntina Farida, Rahayu Faris Akbar Abimanyu Fatah Yasin Al Irsyadi Febri Sutmo Febri Sutomo Ferry Darmawan Ihsan Puntadewa Indahsari, Desy Kartika Indra Permana Jati Indraswari, Naisha Rahma Ipung Permadi Ipung Permadi Irfan Agus Tiawan Ivan Darmawan Jati Hiliamsyah Husen Joe, Michael Kumaidi, K Kusuma, Agung Fajar Surya Laksono, FX Anjar Tri Lasmedi Afuan Lena Rosmayani Lia Dewi Susanti Mahendra, Galuh Raka Majid Narendra Maria Ulfa Chasanah Marpid, Nuravifah Novembriana Meilisa Ayu Susantiva Mochammad Muslih Maruzi Mohamad Waluyo Monika Herliana Muazam, Safa Muhamad Taufik Hidayat MUHAMMAD ABDUL GHOFAR Muhammad Adam Mulyadi Mucoffa Muhammad Bahrul Ashfiya Muhammad Fikri Rivaldi Muhammad Hikal Muhammad Luthfi Muhammad Luthfi Hidayat Muhammad Naufal Faza Muhammad Thoriq Aziz Muhammad Zein Albalki Naisha Rahma Indraswari Nofiyati Nofiyati Nofiyati Nofiyati Nofiyati Nofiyati, Nofiyati Nofiyati, Nofiyati Novanto, Adi Nur Chasanah Nur Chasanah Octaviano, Atha Narentha Priandika Ratmadani Anugrah Puput Muliana Putri Rahayu, Swahesti Puspita Rahman, Ahmada Auliya Ramadhan, Muhammad Rivai Putra Ramadhani, Faza Abdillah Riski Agung Putro Laksono Rochmat Mulyo Sugihono Setyowinarti, Anisah Tri Singgih Rama Pradana Sohputro, Nicolas Sri Murwanti Sugih Ahmad Fauzan Sunan, Huzaely Latief Susi Setianingsih Swahesti Puspita Rahayu Teguh Cahyono Tiyssa Indah Barokah Uki Hares Yulianti Widhiatmoko Herry Purnomo Widiyarti Endang Saputri Windiasani, Pungki Arina Yulianita, Nadia Gitya