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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Jurnal Ilmu Komputer dan Informasi Jurnal Teknik Elektro Tadris: Jurnal keguruan dan Ilmu Tarbiyah Sinergi Jurnal Penelitian dan Pembelajaran IPA Economic Education Analysis Journal IJIE (Indonesian Journal of Informatics Education) Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Indonesian Journal of Electrical Engineering and Computer Science Jurnal Teknik Informatika (JUTIF) Community Empowerment Journal of Soft Computing Exploration MATRIX : JURNAL MANAJEMEN TEKNOLOGI DAN INFORMATIKA Jurnal Pendidikan Indonesia (Japendi) Journal of Mandalika Literature Jurnal Bina Desa Jurnal Abdi Negeri
Yahya Nur Ifriza
Information System Study Program, Universitas Negeri Semarang, Indonesia
Arts Humanities Civil Engineering, Building, Construction & Architecture 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 Law, Crime, Criminology & Criminal Justice Library & Information Science Public Health Social Sciences Other

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Perancangan Sistem Pakar Penyuluh Diagnosa Hama Padi dengan Metode Forward Chaining Ifriza, Yahya Nur; Djuniadi, Djuniadi
Jurnal Teknik Elektro Vol 7, No 1 (2015): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

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Abstract

Penyuluhan pertanian sebagai bagian dari pembangunan masyarakat. Pembangunan masyarakat di Indonesia dapat disamakan dengan pengertian istilah “community development” yang dapat dilaksanakan melalui proses komunikasi pendidikan. Namun dalam praktiknya banyak permasalahan yang muncul, salah satunya adalah diagnosa hama padi. Pendiagnosisan terhadap hama pada tanaman padi memang harus dilakukan secepat dan seakurat mungkin, dikarenakan penyakit pada tanaman tersebut dapat dengan cepat menyerang serta menyebar keseluruhan. Sehubungan dengan itu, penelitian ini bertujuan untuk melakukan pengembangan desain sistem pakar penyuluhan diagnosa  hama padi dengan metode forward chaining. Hasil penelitian ini diharapkan dapat menjadi dasar untuk mengembangkan sistem pakar yang membantu memecahkan permasalahan hama tanaman padi.
Perancangan Sistem Pakar Penyuluh Diagnosa Hama Padi dengan Metode Forward Chaining Ifriza, Yahya Nur; Djuniadi, Djuniadi
Jurnal Teknik Elektro Vol 7, No 1 (2015): Jurnal Teknik Elektro
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/jte.v7i1.8590

Abstract

Penyuluhan pertanian sebagai bagian dari pembangunan masyarakat. Pembangunan masyarakat di Indonesia dapat disamakan dengan pengertian istilah “community development” yang dapat dilaksanakan melalui proses komunikasi pendidikan. Namun dalam praktiknya banyak permasalahan yang muncul, salah satunya adalah diagnosa hama padi. Pendiagnosisan terhadap hama pada tanaman padi memang harus dilakukan secepat dan seakurat mungkin, dikarenakan penyakit pada tanaman tersebut dapat dengan cepat menyerang serta menyebar keseluruhan. Sehubungan dengan itu, penelitian ini bertujuan untuk melakukan pengembangan desain sistem pakar penyuluhan diagnosa  hama padi dengan metode forward chaining. Hasil penelitian ini diharapkan dapat menjadi dasar untuk mengembangkan sistem pakar yang membantu memecahkan permasalahan hama tanaman padi.
Improving Dynamic Archive Security Based Biometric System for Identification and Authentication with Personal Fingerprint Ifriza, Yahya Nur; Sudarno, Sudarno
Economic Education Analysis Journal Vol 10 No 3 (2021): Economics Education Analysis Journal
Publisher : Department of Economics Education, Faculty of Economics, Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/eeaj.v10i3.49877

Abstract

Pandemic has impacted many areas of life and led to the development of much new behaviour due to people's efforts to adapt, including adaptation in the workplace. The WFO (Work from Office) and WFH (Work from Home) rules will be enforced during the Covid-19, and this is one of the adaptive steps taken. Some employees are required to work from the office, while others are allowed to work from home under this rule. The author aimed to investigate the development of a microcontroller-based dynamic archive security system to address archive security during the WFH and WFO periods. With security system, the goal was to develop security tools that can serve two functions simultaneously, namely protecting data from loss while making it easier for workers to access the dynamic archives they need. This research was conducted by using research and development methods and the object of research was education staff at the Faculty of Economics, UNNES, using research and development strategies, this study succeeded in making a Dynamic Archive Security System product based on Biometric System Identification. Suggestions in this research on security systems can also be added with variations with RFID cards or NFC cards to implement various security systems.
Improving Dynamic Archive Security Based Biometric System for Identification and Authentication with Personal Fingerprint Ifriza, Yahya Nur; Sudarno, Sudarno
Economic Education Analysis Journal Vol 10 No 3 (2021): Economic Education Analysis Journal
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/eeaj.v10i3.49877

Abstract

Pandemic has impacted many areas of life and led to the development of much new behaviour due to people's efforts to adapt, including adaptation in the workplace. The WFO (Work from Office) and WFH (Work from Home) rules will be enforced during the Covid-19, and this is one of the adaptive steps taken. Some employees are required to work from the office, while others are allowed to work from home under this rule. The author aimed to investigate the development of a microcontroller-based dynamic archive security system to address archive security during the WFH and WFO periods. With security system, the goal was to develop security tools that can serve two functions simultaneously, namely protecting data from loss while making it easier for workers to access the dynamic archives they need. This research was conducted by using research and development methods and the object of research was education staff at the Faculty of Economics, UNNES, using research and development strategies, this study succeeded in making a Dynamic Archive Security System product based on Biometric System Identification. Suggestions in this research on security systems can also be added with variations with RFID cards or NFC cards to implement various security systems.
An improved light gradient boosting machine algorithm based on swarm algorithms for predicting loan default of peer-to-peer lending Much Aziz Muslim; Yosza Dasril; Muhammad Sam'an; Yahya Nur Ifriza
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp1002-1011

Abstract

Internet finance and big data technology are booming in the world. The launch of peer to peer (P2P) lending platforms is a sign and a great opportunity for entrepreneurs to easily increase their capital injection. However, this great opportunity has a high risk of impacting the sustainability and security development of the platform. One way to minimize loan risk is to predict the possibility of loan default. Hence, this study aims to find the best predictive model for predicting loan default of P2P Lending Club dataset. An improved light gradient boosting machine (LightGBM) via features selection by using swarm algorithms i.e. Ant colony optimization (ACO) and bee colony optimization (BCO) to the prediction analysis process. The best feature selection process is selected 6 out of 18 features. The synthetic minority oversampling technique (SMOTE) method is also provided to solve the unbalance class problem in the dataset, then a series of operations such as data cleaning and dimension reduction are performed. The experimental results prove that the LightGBM algorithm has been successfully improved. This success is shown by the prediction accuracy of LightGBM+ACO is 95.64%, LighGBM+BCO is 94.70% and LightGBM is 94.38%. This success also demonstrates outstanding performance in predicting loan default and strong generalizations.
Modelling of Laboratory Information Systems in Higher Education Based on Enterprise Architecture Planning for Optimizing Monitoring and Equipment Maintenance Yahya Nur Ifriza; Trisni Wulandari Veronika; Trisni Suryarini; Antonius Supriyadi
IJIE (Indonesian Journal of Informatics Education) Vol 6, No 2 (2022): IJIE (Indonesian Journal of Informatics Education)
Publisher : Universitas Sebelas Maret

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Abstract

Retracted on author's request 
The modeling of laboratory information systems in higher education based on enterprise architecture planning (EAP) for optimizing monitoring and equipment maintenance Yahya Nur Ifriza; Trisni Wulandari Veronika; Trisni Suryarini; Antonius Supriyadi
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 1 (2023): Jurnal Manajemen Teknologi dan Informatika
Publisher : Unit Publikasi Ilmiah, P3M, Politeknik Negeri Bali

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31940/matrix.v13i1.1-11

Abstract

The laboratory is a place to conduct scientific research, experiments, measurements, or scientific training. FMIPA UNNES has several laboratories distributed in each department to support student lectures. Through the implementation of practicum in the laboratory, students are expected to be able to find a concept, foster scientific attitudes, and critical thinking skills. Good laboratory management is expected to be able to utilize laboratory resources effectively and efficiently. Laboratory equipment must be ensured to function properly and be ready to be used for practicum. To support this, it is necessary to monitor the condition of the equipment and immediately repair the equipment if any damage is found. The current obstacle is monitoring tool repairs manually, so there are shortcomings such as poor documentation, and equipment conditions that cannot be monitored online. In this study, an information system for monitoring the maintenance of laboratory equipment in the departments in the FMIPA UNNES environment will be built. The research method begins with a literature study, initial data collection and observation, EAP-based system design, system testing, system analysis, and system evaluation. This study uses the SDLC (System Development Life Cycle) approach which is used to develop a product for the Monitoring Information System for the Maintenance of Laboratory Equipment. Testing is done using black box testing. From the results of development and testing, it can be concluded that the system can be used to simplify the process of managing laboratory equipment with a UAT value of 88% suitable for use.
Enhancing service excellence: analyzing natural language question answering with advanced cosine similarity Arifudin, Riza; Subhan, Subhan; Ifriza, Yahya Nur
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 13, No 2: June 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v13.i2.pp1773-1781

Abstract

Information related to student services in higher education must be produced and disseminated in various forms. Covid-19 pandemic, student services with a remote model related to this question and answer become very important. To carry out this automation process, the advanced cosine similarity method is used to check the similarity of the questions to the database and statistics to calculate the similarity value of each word. The proposed paper proceeds with three phases. The first stage to solve this problem is the data processed in question; the professional next step is word insertion. It converts alphanumeric words to vector format. Each word is a vector that represents a point in space with a certain dimension. The recommended advanced cosine similarity data still must be analyzed into a statistical approach. We will measure accuracy to get results so that optimal results and answers are obtained, research procedures are carried out based on literature study, initial data collection and observation, system development, system testing, system analysis, and system evaluation. This research implemented in universities with student chat automation applications providing an accuracy 83.90% given by natural language question answering system (NLQAS) so that it can improve excellent service in universities.
Scientific Work Independence Application at Various Education Levels Referring to Piaget's Theory to Support the Implementation of Science Integrated Learning Model Parmin, Parmin; Savitri, Erna Noor; Ifriza, Yahya Nur
Jurnal Penelitian dan Pembelajaran IPA Vol 8, No 2 (2022): Available Online in November 2022 (Web of Science Indexed)
Publisher : Department of Science Education, Universitas Sultan Ageng Tirtayasa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30870/jppi.v8i2.17442

Abstract

The research specifically aims to create an application of scientific work independence instruments through Science Integrated Learning (SIL) for various education levels (primary, secondary, tertiary). The SIL model is applied in learning to find specific indicators for scientific work independence following students' development. This study applied the Research and Development methodology. Product testing was conducted in elementary schools, junior high schools, senior high schools, and universities. Based on the research results, SIL V1.0 App is a software developed based on mobile apps in the form of an Android application that is installable on a device with Android OS as the operating system. The application is named SIL V1.0 Apps, an acronym for Science Integrated Learning Application. The scientific work independence instrument developed by referring to Piaget's theory has a characteristic where the level of independence at each stage of scientific work is based on the development of children's learning psychology. Scientific work independence application at various education levels, which refers to Piaget's Theory, has more precise boundaries because it is adjusted to children's psychological development. The difference in learning independence level occurs because of the age difference.
Improved recommender system using Neural Network Collaborative Filtering (NNCF) for E-commerce cosmetic product Subhan, Subhan; Syarif, Deny Lukman; Widhihastuti, Endah; Rakainsa, Senda Kartika; Sam'an, Muhammad; Ifriza, Yahya Nur
SINERGI Vol 29, No 1 (2025)
Publisher : Universitas Mercu Buana

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22441/sinergi.2025.1.014

Abstract

This study presents an enhanced recommender system tailored for e-commerce platforms specializing in cosmetic products. Traditional recommender systems often need help providing accurate and personalized recommendations due to the complexity and subjectivity inherent in cosmetic preferences. In e-commerce, personalized product recommendations are crucial to improving user engagement and driving sales. This paper presents an innovative approach to enhance recommendation systems by leveraging neural network collaborative filtering techniques for the cosmetic product domain. The proposed method integrates neural networks into collaborative filtering, namely neural network collaborative filtering with improved preprocessing step. To validate the effectiveness of our proposed system, extensive experiments were conducted using real-world e-commerce cosmetic datasets "eCommerce Event History in Cosmetics Shop".   Additionally, we evaluate the system's performance using historical e-commerce event data in cosmetics stores, demonstrating the system's effectiveness with mean reciprocal ratings (MRR) and normalized discount cumulative gain (NDCG). Evaluation Metrics of MRR and NDCG in this study got 0.56 and 0.60, respectively, with a split of the data: 70% train data, 15% validation data, and 15% test data. This study obtained better evaluation metrics than the previous study, which had an MRR of 0.31 and NDGC of 0.32. Furthermore, this model exhibits robustness against data sparsity and cold-start problems commonly encountered in e-commerce platforms. This research advances knowledge of recommendation systems and paves the way for more personalized and efficient online shopping experiences.
Co-Authors Abdul Jabbar Agung Kuswantoro Alamsyah - Amalina Shabrina Antonius Supriyadi Antonius Supriyadi Azkiya, M. Akiyasul Budi Prasetiyo, Budi Budiman, Kholiq Damayanti, Dela Rista Decky Avrilianda Dhela Septian Anggaretta Djuniadi Djuniadi Efrilianda, Devi Ajeng Erna Noor Savitri, Erna Noor Febriyanto, Hendra Hakim, M Faris Al Hakim, M. Faris Al Istijabah Ifti Mufsiroh Jumanto Jumanto Jumanto, Jumanto Kamaruddin, Azlina Masfufati Azizah Mu'arifuddin, Mu'arifuddin Muarifuddin Muarifuddin, Muarifuddin Much Aziz Muslim Mufsiroh, Istijabah Ifti Muhammad Sam'an Muhammad Sam’an Niam Wahzudik Nina Oktarina Nur Fateah Nurul Faizah NURUL FAIZAH Parmin - Parmin Parmin Parmin, Parmin Prabowo Yudo Jayanto Purasani, Hana Netti Raditya Ahmad Rifandi Rahayu, Endah Fitriani Rakainsa, Senda Kartika Retnoningrum, Sri Murti Riza Arifudin Sam'an, Muhammad Sam’an, Muhammad Sanusi, Ratna Nur Mustika Satrio Ardiansyah, Adi Shabrina, Amalina Siminto Siminto Siminto Siminto, Siminto Sri Murti Retnoningrum Subhan Subhan Subhan Sudarno Sudarno Supriyadi, Antonius Syarif, Deny Lukman Trisni Suryarini Trisni Wulandari Veronika Trisni Wulandari Veronika Veronika, Trisni Wulandari Wicaksono, Suntoro Widhihastuti, Endah Wisudani Rahmaningtyas Yosza Dasril Yusuf Wisnu Mandaya