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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.
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.
Pengenalan dan Implementasi Sistem Smart Lighting Berbasis IoT melalui Aplikasi App Inventor sebagai Media Edukasi Teknologi bagi Siswa SMA Vidia, Vidia; Ronal, Ronal; Farid, Fajri; Dyah Astuti, Rohmi; Tamaro Nadeak, Christyan; Yustisia Sari, Rizki; Fauzi Dzaki Arif, Sofyan; Satria, Eggi; Andriana Putra, Randa; Hilal Kurniawan, Danang
Jurnal Pengabdian Masyarakat Terapan Vol 2 No 3 (2025): JUPITER Desember 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jupiter.2.3.83

Abstract

Internet of Things (IoT), sebagai konsep penghubung perangkat fisik melalui internet secara otomatis, membuka peluang signifikan untuk peningkatan efisiensi dan produktivitas di berbagai sektor. Meskipun relevansinya tinggi, literasi digital di kalangan pelajar masih terbatas. Untuk mengetasi kesenjangan ini dan meningkatkan pemberdayaan siswa, kegiatan pengabdian masyarakat ini dilaksanakan selama satu hari di SMA Al Huda Jati Agung, bekerja sama dengan Kepala Sekolah dan guru. Kegiatan ini berfokus pada pengenalan dan demonstrasi implementasi sederhana teknologi IoT pada konsep Smart Lighting menggunakan App Inventor. Metode yang digunakan adalah presentasi interaktif diikuti demonstrasi langsung perangkat. Dampak kegiatan dievaluasi melalui Pre-test dan Post-test, yang secara statistik (Uji Paired Sample T-Test, ) menunjukkan peningkatan signifikan pemahaman siswa, dengan rata-rata kenaikan skor sebesar 14%. Keberhasilan ini tidak hanya menumbuhkan minat, tetapi secara efektif meletakkan dasar bagi pengembangan keterampilan digital siswa, berkontribusi pada kesiapan mereka menghadapi tantangan era digital, dan mendukung keberlanjutan pemanfaatan teknologi untuk solusi kehidupan sehari-hari.
Enhancing multiclass SVM classification using a hybrid directed acyclic graph and rest-vs-rest strategy Nadeak, Christyan Tamaro; Farid, Fajri; Rassiyanti, Linda; Siahaan, Arielva Simon; Putri, Lutfia Aisyah
Desimal: Jurnal Matematika Vol. 8 No. 3 (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.v8i3.202529469

Abstract

This study proposes a modified Directed Acyclic Graph Support Vector Machine (DAG-SVM) using a Rest-vs-Rest (RvR) strategy to address the multiclass classification problem in the Hepatitis C dataset from Kaggle, which contains four diagnostic categories with a highly imbalanced class distribution, with class sample sizes of 540, 24, 21, and 30, respectively. The aim of this study is to examine how hierarchical decision structures interact with extreme class imbalance in SVM-based multiclass classification. The method is implemented through three fixed hierarchical decision schemes {0,1} vs. {2,3}, {0,2} vs. {1,3}, and {0,3} vs. {1,2} which restructure the decision flow of conventional DAG-SVM. Experimental evaluation shows that although the proposed schemes achieve relatively high overall accuracy (0.91–0.93), the precision, recall, and F1-scores for minority classes remain extremely low. These findings offer a new empirical insight into how class imbalance propagates through the DAG hierarchy, leading to early elimination of minority classes, and highlight the need for imbalance-handling techniques such as resampling, cost-sensitive learning, or synthetic data generation. The contribution of this work lies in demonstrating the limitations of DAG-RvR under severe imbalance and providing a structured evaluation that can guide future improvements for more reliable multiclass recognition.
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 dan Ilmu Keguruan, Universitas Islam Negeri (UIN) Syekh Wasil Kediri

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.