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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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Optimizing Social Media Promotion Strategy to Increase Customer Retention Rate (CRR) with GKG Customer Engagement Ifriza, Yahya Nur; Budiman, Kholiq; Ardiansyah, Adi Satrio
Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control Vol. 9, No. 4, November 2024
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kinetik.v9i4.2016

Abstract

In the digital age, businesses are increasingly relying on social media platforms to engage with their customers and foster brand loyalty. This paper presents a comprehensive study aimed at optimizing social media promotion strategies to enhance Customer Retention Rate (CRR) while utilizing the GKG (Get Keep Growth) Customer Engagement framework. By examining the interplay between social media promotion tactics and customer engagement metrics, we investigate how businesses can leverage data-driven insights to improve customer retention. Our research showcases the importance of tailoring social media campaigns to individual customer preferences and behavior, ultimately leading to increased customer satisfaction and loyalty. The results of the analysis of the development of the Customer Retention Rate graph were produced on FMIPA social media with an average CRR of 71% in the base case. Through a combination of data analysis and case studies, we provide actionable recommendations for businesses seeking to maximize the effectiveness of their social media promotion efforts and elevate their CRR with GKG customer engagement.
A combination of TDM and KSAM to determine initial feasible solution of transportation problems Muhammad Sam'an; Ifriza, Yahya Nur
Journal of Soft Computing Exploration Vol. 2 No. 1 (2021): March 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i1.16

Abstract

In case of the Transportation Problem (TP), it was found that TP had equal the smallest so that the existing methods will be generated two or more IFS values. The newly developed algorithm is generated through a combination of Total Difference Method (TDM) and Karagul-Sahin Approximation Method (KSAM) algorithm, is capable to determine the initial feasible solution of TP. Based on the numerical illustration of TP example to evaluate the performance of the new proposed algorithm. The computational performances have been compared to the existing methods (TDM1 and KSAM) and the results shown this algorithm achieved better performance than the existing methods for TP example.
Irrigation management of agricultural reservoir with correlation feature selection based binary particle swarm optimization Ifriza, Yahya Nur; Sam'an, Muhammad
Journal of Soft Computing Exploration Vol. 2 No. 1 (2021): March 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i1.23

Abstract

The requirement for the applied innovation to farming water system is especially required for supplies, as rural water system focuses. Supplies as one of horticulture water system asset focus that are regularly constraints identified with the conveyance of repository water stream, this brought about lopsided dissemination of rural water system and the term of control of agrarian water system that streams from water system asset focuses. At the point when ranchers need to change the water system way, it will take a long effort to make another water system way. From these troubles to convey rural water systems simpler, it is important to plan a specialist framework to decide rural water system choices. A few researchers focused on improved quality of plant. There have been limited studies concerned with irrigation management Therefore, this research intends to design The objectives of this research are optimization irrigation management of agricultural reservoirs with CFS-BPSO. The consequences of this investigation demonstrate that the exactness of the utilization of the SVM calculation is 62.32%, while after utilizing the CFS calculation precision of 84.12% is acquired and exactness of ten SVM calculations by applying a blend of CFS highlight choice. also, BPSO 91.84%.
New fuzzy transportation algorithm without converting fuzzy numbers Sam'an, Muhammad; Ifriza, Yahya Nur
Journal of Soft Computing Exploration Vol. 2 No. 2 (2021): September 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i2.41

Abstract

The ranking function is widely used to convert fuzzy numbers to be crisp on solving fuzzy transportation problems. The converting process can indeed make it easier to play the fuzzy transportation method, but from the convenience, it causes failed in interpreting the results of converting fuzzy numbers. This is because the converting process of fuzzy numbers still has subjectivity values, so it cannot be eliminated, moreover, the ordering can cause incompatible input and output fuzzy numbers resulted. Therefore, the new fuzzy transportation method is proposed by fuzzy Analytical Hierarchy Process to order fuzzy parameters on fuzzy transportation problem without converting fuzzy numbers to crisp numbers, then Algorithm 2 until 6 is used to obtain a fuzzy optimal solution. The advantages of the new proposed method can improve the shortcomings of the existing methods, as well as relevant to solve fuzzy transportation problems in real life
Performance comparison of support vector machine and gaussian naive bayes classifier for youtube spam comment detection Ifriza, Yahya Nur; Sam'an, Muhammad
Journal of Soft Computing Exploration Vol. 2 No. 2 (2021): September 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i2.42

Abstract

Youtube is a video sharing site that was begun back in 2005. Youtube produces over 400 hours of substance each moment and more than 1 billion hours of substance are devoured by clients every day. In this work, we present a new approach by comparing the analysis results using a support vector machine and the Gaussian Naive Bayes classificatio. Our proposed methodology We used the dataset from UCI especially Youtube-Shakira for training and testing. The transformed dataset is split into training and testing subsets and fed into Naive Bayes and Support Vector Machin. In all cases, the F1 score was used to evaluate the classifier's performance. The results of the experiment are displayed in Gaussian Naive Bayes with an F1 score of 84.38% and a Support Vector Machine (SVM) with an F1 score of 88.00%. Naive Bayes is consistently the worst performer than SVM.
Analysis of earthquake forecasting using random forest Budiman, Kholiq; Ifriza, Yahya Nur
Journal of Soft Computing Exploration Vol. 2 No. 2 (2021): September 2021
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v2i2.51

Abstract

The subject of forecasting earthquakes is an intriguing one to investigate. As a natural calamity, earthquakes continue to be devastating, not just to the economy but also to the lives of individuals. This gave rise to the concept of creating an early warning system against seismic catastrophes to minimize deaths. Researchers have been making earthquake forecasts and seismic hazard ratings of a location for a few years now. In this work, we attempt to forecast earthquakes before they occur using p-arrival data, which includes information on disaster arrival time and amplitude height from the arrival station. Several studies on earthquake prediction have been carried out so far and have developed and used the Random Forest method and one of the Machine Learning. According to [1], the process of predicting earthquakes has been studied for a long time, but there is still uncertainty due to the diversity and complexity of the earthquake phenomenon itself. According to [2], conducting a random forest prediction model to identify the structural safety status of buildings damaged by the earthquake is probabilistic. An earthquake's latitude, longitude, magnitude, and depth may be predicted using the random forest algorithm. A random forest with multioutput technique is employed, with variables being each station's recorded value and geographic position. This study's predictions were accurate to within 63 percent.
Rainfall prediction in Blora regency using mamdani's fuzzy inference system Damayanti, Dela Rista; Wicaksono, Suntoro; Hakim, M. Faris Al; Jumanto, Jumanto; Subhan, Subhan; Ifriza, Yahya Nur
Journal of Soft Computing Exploration Vol. 3 No. 1 (2022): March 2022
Publisher : SHM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52465/joscex.v3i1.69

Abstract

In the case study of weather prediction, there are several tests that have been carried out by several figures using the fuzzy method, such as the Tsukamoto fuzzy, Adaptive Neuro Fuzzy Inference System (ANFIS), Time Series, and Sugeno. And each method has its own advantages and disadvantages. For example, the Tsukamoto fuzzy has a weakness, this method does not follow the rules strictly, the composition of the rules where the output is always crisp even though the input is fuzzy, ANFIS has the disadvantage of requiring a large amount of data. which is used as a reference for calculating data patterns and the number of intervals when calculating data patterns and Sugeno has the disadvantage of having less stable accuracy results even though some tests have been able to get fairly accurate results. In research on the implementation of the Mamdani fuzzy inference system method using the climatological dataset of Blora Regency to predict rainfall, it can be concluded as follows: (1) The fuzzy logic of the Mamdani method can be used to predict the level of rainfall in the city of Blora by taking into account the factors that affect the weather, including temperature, wind speed, humidity, duration of irradiation and rainfall. (2) Fuzzy logic for prediction with uncertain input values is able to produce crisp output because fuzzy logic has tolerance for inaccurate data. (3) The results of the accuracy of calculations using the Mamdani fuzzy inference system method to predict rainfall in Blora Regency are 66%.
The modeling of laboratory information systems in higher education based on enterprise architecture planning (EAP) for optimizing monitoring and equipment maintenance Ifriza, Yahya Nur; Veronika, Trisni Wulandari; Suryarini, Trisni; Supriyadi, Antonius
Matrix : Jurnal Manajemen Teknologi dan Informatika Vol. 13 No. 1 (2023): Matrix: 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.
Analysis of Relationship Between Self Efficacy and Resilience on Kip-Kuliah Students Learning Outcomes Yahya Nur Ifriza; Istijabah Ifti Mufsiroh; Amalina Shabrina; Nurul Faizah; Sri Murti Retnoningrum
Jurnal Pendidikan Indonesia Vol. 6 No. 5 (2025): Jurnal Pendidikan Indonesia
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/japendi.v6i5.7796

Abstract

The KIP-Kuliah scholarship program aims to support underprivileged Indonesian students in higher education, yet the psychological factors influencing their success remain underexplored. This study investigates the interplay between self-efficacy and resilience in shaping academic and non-academic outcomes among KIP-Kuliah recipients. The research aims to (1) analyze the relationship between self-efficacy and resilience, and (2) assess their combined impact on learning achievements. A mixed-methods approach was employed, combining quantitative surveys (n=100) and qualitative interviews (n=10) with KIP-Kuliah students at Universitas Negeri Semarang. Statistical analyses (correlation, regression) and thematic interviews were conducted. Results revealed a strong positive correlation (r=0.678, p<0.01) between self-efficacy and resilience. Qualitative data underscored the role of financial aid, social support, and organizational involvement in enhancing these traits. The study highlights the need for integrated support programs that address both financial and psychological barriers. Recommendations include tailored mentoring and policy enhancements to maximize the KIP-Kuliah program’s impact.
Peran Model Pembelajaran Role Play Berbasis Digital untuk Mendukung Keterampilan Digital Abad 21 (Studi Kasus di Pendidikan Administrasi Perkantoran FEB UNNES) Purasani, Hana Netti; Wisudani Rahmaningtyas; Masfufati Azizah; Agung Kuswantoro; Nina Oktarina; Yahya Nur Ifriza
Journal of Mandalika Literature Vol. 6 No. 3 (2025)
Publisher : Institut Penelitian dan Pengembangan Mandalika (IP2MI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36312/jml.v6i3.5015

Abstract

Praktik Kesekretarisan menunjukkan kurang integrasi penggunaan teknologi karena proses praktik yang dilaksanakan secara manual seperti pencatatan pada buku agenda surat keluar dan surat masuk. Proses pembelajaran seperti ini tidak lagi relevan dengan kondisi riil diperkantoran yang telah memanfaatkan ICT untuk pengelolaan dokumen dan persuratan. Tujuan dari penelitian ini adalah untuk mengetahui efektifitas model pembelajaran bermain peran berbasis digital unutk keterampilan digital abad 21 pada mata kuliah kesekretarisan. Urgensi penelitian ini berasal dari penilaian kebutuhan yang dilakukan dalam konteks pendidikan tinggi. Analisis data mengikuti kerangka kerja tiga tahap yang mapan yang diusulkan oleh Miles dan Huberman, yang meliputi reduksi data, penyajian data, dan kesimpulan atau verifikasi. Para peneliti melakukan wawancara mendalam dengan 2 instruktur dan 8 siswa, dan juga mendistribusikan kuesioner untuk mendapatkan wawasan lebih lanjut. Berdasarkan hasil wawancara diketahui bahwa praktik perkantoran pada mata kuliah kesekretarisan masih dilaksanakan secara manual tidak relevan dengan perkembangan zaman, perlu ada penerapan model pembelajaran bermain peran berbasis digital untuk mendukung keterampilan digital abad ke-21. Model ini dapat diadopsi kurikulum berbasis digital, untuk menghasilkan lulusan dengan kapasitas digital yang diperlukan untuk masa depan.
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&#039;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