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Strategi Manajemen Usaha “Batik Lochatara” Berbasis Budaya Lokal dan Produk Unggulan di Kediri Ridwanulloh, M. Ubaidillah; Pangesti, Aliffanur Budi; Sya’diyah, Khalimatus; Farid, Fajri; Siatan, Mairizal Salehudin
Jurnal MANAJERIAL Vol 22, No 2 (2023): MANAJERIAL Volume 22 No. 2
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/manajerial.v22i2.60706

Abstract

This research aims to describe cultural and superior product-based Lochatara Batik business management strategies in Kediri City. In business management, there are steps taken by Lochatara Batik entrepreneurs to increase the competitiveness and quality of their products. The research method used is a qualitative method with a case study approach, which aims to obtain in-depth data regarding views or perceptions and implementation of Lochatara Batik business management strategies. Data sources were obtained through observation, interviews, and documentation. The results of the business management carried out include planning or preparation, organizing a reliable team or human resources, producing quality batik cloth with various patterned images, and evaluation involving the community to be able to produce the batik that the community wants. Marketing methods are carried out by utilizing E-Commerce Platforms and digital Social Media Platforms, building collaborations and partnerships, strengthening branding and promotions, and actively participating in various exhibition events. The results of the business management strategy show consistent growth from year to year. As a batik that focuses on Kediri cultural patterns, in 2018 Lochatara batik also received the Radar Kediri Award as Cultural Batik and Shopping Festival Award in 2020. By prioritizing product quality and innovative design, Lochatara Batik has succeeded in attracting interest and satisfying customers from around the world. the general public and tourists
Improvement of Creative Thinking Ability through Problem-Based Learning with Local Culture Based on Students’ Gender and Prior Mathematics Ability Ramadhani, Rahmi; Farid, Fajri; Lestari, Fitria; Machmud, Amir
Al-Jabar: Jurnal Pendidikan Matematika Vol 11 No 1 (2020): Al-Jabar: Jurnal Pendidikan Matematika
Publisher : Universitas Islam Raden Intan Lampung, INDONESIA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/ajpm.v11i1.4961

Abstract

The purpose of this study was to determine the increase of students' creative thinking, which taught using problem-based learning with local culture (PBL-Local Culture). In this study also saw the interaction between students' gender and students' prior mathematics ability. This type of research is quasi-experiment research, using pre-test post-test control group design. Data were analyzed using SPSS 25 through Two-Way ANOVA. The result shows that increasing the creative thinking abilities of students taught using problem-based learning with local culture is significantly higher than the creative thinking abilities of students taught using classical learning. Based on the result, we found that the use of problem-based learning local culture (PBL-Local Culture) offered the opportunity to give student new experience to solving real problems in their daily life, primarily related in their local culture. Students can describe how to solve the daily life problem with mathematically modelling. This learning model has given the facility to students at the end to improve their creative thinking ability. Students make the new model of problem-solving and finally they can solve that problem with their model. This study also found that the factor of students' gender and students' prior mathematics ability has not given the effect of students' creative thinking ability. It means that there is no gap in gender and the contribution of students' prior mathematics ability in students' academic skills. Based on this study, we recommendation of this model to using in other subjects in the learning class and to improving other learning ability, not limited in creative thinking ability.    
Diabetes risk prediction using logistic regression model Rassiyanti, Linda; Farid, Fajri; Pitri, Rizka
Desimal: Jurnal Matematika Vol. 8 No. 1 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/djm.v8i1.26493

Abstract

This study aims to analyze the factors that contribute to diabetes using the logistic regression method. The data used in this study include variables of number of pregnancies, glucose levels, blood pressure, skin thickness, insulin levels, body mass index (BMI), family history of diabetes, and age. The logistic regression model was applied to determine the effect of each variable on the likelihood of a person having diabetes. Evaluation of model performance was carried out using the ROC (Receiver Operating Characteristic) curve, and the results obtained showed an AUC value of 0.8391, which indicated a very good classification ability of the model. The results of the analysis showed that the number of pregnancies, glucose levels, blood pressure, BMI, and family history of diabetes had a significant effect on the risk of diabetes.
The conceptual model to improve failure risk management water distribution system using ordinary differential equation model to support water resilience in military residential facilities Al Husein, Fulkan Kafilah; Syazali, Muhamad; Saidat, Suhaila; Irsalinda, Nursyiva; Farid, Fajri
International Journal of Applied Mathematics, Sciences, and Technology for National Defense Vol 2, No 3 (2024): International Journal of Applied Mathematics, Sciences, and Technology for Natio
Publisher : FoundAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/app.sci.def..v2i3.341

Abstract

Water resilience is still big problem in Indonesia.  In border and underdeveloped areas in Indonesia, the use of water sources is still considered not resilience. Especially in military context, where water needs are bigger and also more fundamental, this water resilience problem demanding a comprehensive solution. To address this issue, this research proposes the use of ordinary differential equations as a mathematical tool to model the dynamics of system damage over time, consumption, maintenance scheme, water crisis scheme, and other factors affecting water distribution resilience in military facilities. This journal presents a conceptual model of failure risk management water distribution system using a differential equation model approach to support water resilience. Specifically, the derivation of failure equation in the “reliability and maintenance system technical” textbook will be the basic reference for generating mathematical model. It is used because our model will be focused in improving failure risk management. By using the model, there are a lot of problem will be tackled such as Identify and manage failure risks in the water supply system, design an efficient water distribution maintenance scheme, and predict how strong the system to face water crisis. But before the model applied, the prediction of model will be tested by applying it in form of computer program. The case study of this research will be focused in testing the model in form of computer program with some simplicity and assumption. Through this approach, it is expected to find solutions that improve water usage efficiency, support the well-being of military personnel, and contribute to national water resilience to bolster national defense especially in case of water crisis happened. This research holds significant benefits for scientific advancement by providing a conceptual model that can serve as a reference for future research. It has the potential to make a tangible contribution but also still need so much development especially for application in real data, adding others variables that can be included for next research, conducting the interpretation, and better defining the measurement boundaries.
Effectiveness of Induced Polarisation Method in Identifying the Presence of Minerals: 2-Dimensional Interpretation Modeling of Crossing Lines Farid, Fajri; Ipmawan, Vico Luthfi; Prastowo, Rizqi
International Journal of Hydrological and Environmental for Sustainability Vol 3, No 3 (2024): International Journal of Hydrological and Environmental for Sustainability
Publisher : CV FOUNDAE

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58524/ijhes.v3i3.537

Abstract

This study evaluates the effectiveness of the Induced Polarization (IP) method in identifying mineral presence within the Pacitan region through a detailed case study utilizing 2-dimensional (2D) interpretation of crossing lines. The Pacitan region, with its diverse geological structures, offers an ideal test site for assessing the IP method's capabilities in mineral exploration. By conducting extensive IP surveys and integrating the data with geological and geophysical information, distinct anomalies indicative of mineralization were identified. The results demonstrate that the IP method is highly effective in detecting subsurface minerals, providing a reliable tool for exploration. The 2D interpretation of crossing lines significantly improved the accuracy of anomaly detection and offered detailed insights into the spatial distribution of mineral deposits. Based on the IP survey results, a large resistivity anomaly is located at a distance of 40 metres from the starting point of measurement with a depth of 2-20 metres and a diameter of about 40 metres. Meanwhile, the chargeability anomaly is at a distance of 30 metres from the starting point with a depth of 4-24 metres and a diameter of about 30 metres. When observed from each analysis of line 1 and 2, the cross results can identify resistivity and chargeability anomalies very accurately. This research highlights the potential of the IP method as a non-invasive, cost-effective approach for mineral exploration, particularly in geologically complex regions like Pacitan. The findings underscore the method's utility in enhancing mineral prospecting efforts and contributing to more efficient exploration strategies.
Integration of Qur'anic Values in Mathematics Learning: A Bibliometric Analysis Lestari, Fitria; Farid, Fajri; Syazali, Muhamad; Putra, Fredi Ganda; Maulidi, Ikhsan; Apriliani, Vina
Islamic Journal of Integrated Science Education (IJISE) Vol. 4 No. 2 (2025): July
Publisher : Program Studi Tadris IPA, Fakultas Tarbiyah (IAIN) Kediri, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30762/ijise.v4i2.5921

Abstract

The integration of Qur'anic values in learning is an increasingly popular field in Education, therefore this research aims to determine the integration of Qur'anic values in Mathematics Learning This research uses a descriptive qualitative method through literature study research techniques. The data obtained based on 12 journal articles analyzed is based on a critical analysis of the available literature (articles based on scientific novelty content from 2017 to 2024 indexed on Google Scholar) data analysis techniques using VOS viewer software version 1.6.16 for graphical bibliometric mapping. Based on the data obtained Research shows the importance of combining Islamic values with mathematics to build character and advance education. Various models are proposed to integrate mathematical concepts from the Quran, such as numbers, relationships, operations, and measurements, in learning. This integration not only improves students' understanding of mathematics, but also creates a well-rounded educational experience. Therefore, it is highly recommended for teachers to teach mathematics by integrating with the values or verses of the Quran. So that students feel that learning mathematics useful for the development of student competencies.
INTEGRATION OF THE HISTORY OF MATHEMATICS IN GEOMETRY LEARNING: SYSTEMATIC REVIEW Ramadhani, Silmy; Farid, Fajri; Kaur, Manmeet
Hipotenusa Journal of Research Mathematics Education (HJRME) Vol 8, No 2 (2025): Hipotenusa Journal of Research Mathematics Education (HJRME)
Publisher : Universitas Muhammadiyah Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36269/hjrme.v8i2.3075

Abstract

This study aims to examine the integration of the history of mathematics in geometry learning with a systematic review. The method used is descriptive analysis by analyzing 7 related journal articles (2015-2024) indexed in Google Scholar. Data analysis was carried out using VOSviewer software version 1.6.18 for graphical bibliometric mapping. The results of the study indicate the importance of integrating the history of mathematics in geometry learning to enrich students' understanding of geometric concepts. Learning models such as the use of historical examples, analysis of ancient manuscripts and exploration of the contributions of previous mathematicians can increase students' awareness and appreciation of the development of mathematics. Therefore, it is recommended for teachers to integrate the history of mathematics in geometry learning to create a more comprehensive and meaningful educational experience.
Multi-objective bees algorithm for portfolio diversification Farid, Fajri; Linda Rassiyanti; Rohmi Dyah Astuti; Ade Lailani
Desimal: Jurnal Matematika Vol. 8 No. 2 (2025): Desimal: Jurnal Matematika
Publisher : Universitas Islam Negeri Raden Intan Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24042/mttkw723

Abstract

Portfolio diversification is the practice of spreading investments across different types of stocks or sectors to reduce overall risk. The basic principle is that the poor performance of one stock asset can be offset by the satisfactory performance of another stock asset. This study uses the Bees Algorithm for portfolio optimization problems, aiming to discover the combination of stock proportions in a portfolio that maximizes stock returns and minimizes risk. Then, the Sharpe ratio value is calculated and compared with conventional methods. The expected return, risk, and Sharpe ratio values for the portfolio generated using the Bees algorithm are 0.178007%, 2.353956%, and 0.0663484322, respectively. According to the results, the Bees Algorithm had better results and performance than conventional methods. As a result, the Bees Algorithm outperforms conventional approaches.