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Implementation of Apriori and Fp-Growth Algorithms In Forming Association Patterns Based On Unwaha Cooperative Sales Transactions Cahyaningtyas, Dhita; Miftachuddin, Achmad Agus Athok
NEWTON: Networking and Information Technology Vol. 4 No. 2 (2024): October
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/newton.v4i2.5085

This study implements the Apriori and FP-Growth algorithms to identify association rules in sales transaction data from the UNWAHA Multi-Purpose Cooperative. Both algorithms successfully discovered product relationships, with similarities in rules for items like MAKARONI ASEP, KRUPUK PAK JONO, and KRUPUK 500. The FP-Growth algorithm, implemented using RapidMiner, outperformed Apriori in processing speed by 11 seconds and demonstrated higher accuracy in rule generation. Optimal results were achieved with minimum support and confidence values of 0.3 and 0.9 for Apriori (generating 5 rules), and 0.52 and 0.9 for FP-Growth (generating 6 rules). These settings balanced between generating too many rules, which could complicate interpretation, and too few, which might miss important patterns. Based on the analysis, strategic recommendations for the cooperative include implementing product bundling and discounts for frequently co-purchased items nearing expiration, optimizing product placement by grouping commonly associated items (e.g., MAKARONI ASEP, KRUPUK PAK JONO, KRUPUK 500, SOSIS SO NICE, and YUPI ALL VARIAN 5G) in easily accessible locations, and increasing stock for high-demand products like LE MINERALE. This research demonstrates the practical application of association rule mining in retail, offering data-driven insights to enhance sales strategies and inventory management for the UNWAHA Cooperative.

Optimalisasi Limbah Sekam Padi Sebagai Briket Energi Dan Pemberdayaan Ekonomi Desa Ngampel: Studi Kasus di Desa Ngampel, Jombang Miftachuddin, Achmad Agus Athok; Yuliana, Anggi Indah; Astiti, Lidya Dwi; Hardyanto, Mohamad David Wahyu Hardyanto
ABIDUMASY Vol 6 No 01 (2025): ABIDUMASY : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Ngampel Village in Ngusikan Sub-district, Jombang Regency, struggles with managing agricultural waste, particularly rice husks generated from rice production. Often underutilized, this waste contributes to environmental degradation. This community service initiative seeks to educate residents on transforming rice husks into briquettes as a sustainable energy source while enhancing the economic potential of agricultural byproducts. The project adopts a systematic method, including semi-carbonization, blending with binders, molding, and drying, to produce quality briquettes. This approach reduces environmental pollution from improper waste disposal, lowers fire risks, and encourages innovative resource use. Outcomes reveal heightened community awareness of sustainable waste management and increased interest in briquette production as a viable, eco-friendly energy option. This initiative underscores the value of community-driven innovation in tackling environmental issues and unlocking economic opportunities through agricultural waste utilization.

PERANCANGAN SISTEM INFORMASI DESA (SID) DALAM MENINGKATKAN KUALITAS PELAYANAN PUBLIK DI DESA NGAMPEL: Pengabdian Masyarakat Berbasis Teknologi Tepat Guna Miftachuddin, Achmad Agus Athok; Widya, Moh. Anshori Aris; Mushlih, Dani Huwaidi; Sobirin, Asri
Jumat Informatika: Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025): April
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/abdimasif.v6i1.5644

The limited understanding of village officials in Ngampel Village, Ngusikan District, Jombang Regency, regarding the development and utilization of the Village Information System (SID) is caused by limited human resource support and minimal facilities and infrastructure available. This condition has an impact on the low awareness of village officials regarding the importance of utilizing the village website as a tool for disseminating information. Until now, the knowledge of village officials regarding the creation and management of websites is still very limited, so that the dissemination of information through this platform has not been optimal. In this community service activity, a research team from KH. A. Wahab Hasbulloh University also designed a website for Ngampel Village and provided training to village officials to improve their ability to manage the Village Information System (SID) effectively. The main objective of this activity is to increase accessibility and socialization of village programs and information. The approach used involves the application of appropriate technology through training and management of the SID website. The results of this activity include the creation of the Village Information System (SID) website and a significant increase in the skills of village officials in managing the website.

Optimalisasi Limbah Sekam Padi Sebagai Briket Energi Dan Pemberdayaan Ekonomi Desa Ngampel: Studi Kasus di Desa Ngampel, Jombang Miftachuddin, Achmad Agus Athok; Yuliana, Anggi Indah; Astiti, Lidya Dwi; Hardyanto, Mohamad David Wahyu Hardyanto
ABIDUMASY Vol 6 No 01 (2025): ABIDUMASY : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/abidumasy.v6i01.8858

Ngampel Village in Ngusikan Sub-district, Jombang Regency, struggles with managing agricultural waste, particularly rice husks generated from rice production. Often underutilized, this waste contributes to environmental degradation. This community service initiative seeks to educate residents on transforming rice husks into briquettes as a sustainable energy source while enhancing the economic potential of agricultural byproducts. The project adopts a systematic method, including semi-carbonization, blending with binders, molding, and drying, to produce quality briquettes. This approach reduces environmental pollution from improper waste disposal, lowers fire risks, and encourages innovative resource use. Outcomes reveal heightened community awareness of sustainable waste management and increased interest in briquette production as a viable, eco-friendly energy option. This initiative underscores the value of community-driven innovation in tackling environmental issues and unlocking economic opportunities through agricultural waste utilization.

Implementasi Teknologi Tepat Guna Alat Penyiraman Otomatis Sebagai Penunjang Ketahanan Pangan Keluarga Berbasis Pertanian Urban Yuliana, Anggi Indah; Miftachuddin, Achmad Agus Athok; Hidayat, Rohmat; Fibrianti, Rindhi Dwi; Huda, Erfan Nur; Fitra, Ziyyana; Firmansya, Yoga
Jumat Informatika: Jurnal Pengabdian Masyarakat Vol. 5 No. 1 (2024): April
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/abdimasif.v5i1.4142

Urban farming is a rapidly evolving concept in communities where families in residential areas are beginning to play a role in local food production. The implementation of appropriate technology proves to be a highly relevant solution to support urban farming. The goal of this program is not only to provide concrete solutions to the issues faced by partners but also to enhance the benefits of existing assets and potential in the Murukan village community, focusing on improving urban farming productivity, resource conservation, and providing education and empowerment to partners. The Asset-Based Community Development (ABCD) method is the approach used in the implementation of this community service program, with stages including: (1) Identifying community needs and potentials, (2) Designing an automatic watering tool, (3) Manufacturing and testing the tool, (4) Training, implementation, and (5) Joint evaluation. The results of this program show an increase in basic knowledge, reaching a 50% improvement from previously limited levels. The practical abilities of partners, which were previously very limited, progressed by 60%, indicating that partners can follow team instructions better. Technical skills of partners also showed significant improvement with a 70% percentage increase. Partner confidence and previously low productivity improved by 40% and 55%, respectively, after participating in this program. The efficiency of tool usage became more effective, with a 65% percentage increase. There was a 55% increase in productivity from the previously low category. Overall, the percentage progress after participating in this program indicates that the program is acceptable and runs well.

PERANCANGAN SISTEM INFORMASI DESA (SID) DALAM MENINGKATKAN KUALITAS PELAYANAN PUBLIK DI DESA NGAMPEL: Pengabdian Masyarakat Berbasis Teknologi Tepat Guna Miftachuddin, Achmad Agus Athok; Widya, Moh. Anshori Aris; Mushlih, Dani Huwaidi; Sobirin, Asri
Jumat Informatika: Jurnal Pengabdian Masyarakat Vol. 6 No. 1 (2025): April
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/abdimasif.v6i1.5644

The limited understanding of village officials in Ngampel Village, Ngusikan District, Jombang Regency, regarding the development and utilization of the Village Information System (SID) is caused by limited human resource support and minimal facilities and infrastructure available. This condition has an impact on the low awareness of village officials regarding the importance of utilizing the village website as a tool for disseminating information. Until now, the knowledge of village officials regarding the creation and management of websites is still very limited, so that the dissemination of information through this platform has not been optimal. In this community service activity, a research team from KH. A. Wahab Hasbulloh University also designed a website for Ngampel Village and provided training to village officials to improve their ability to manage the Village Information System (SID) effectively. The main objective of this activity is to increase accessibility and socialization of village programs and information. The approach used involves the application of appropriate technology through training and management of the SID website. The results of this activity include the creation of the Village Information System (SID) website and a significant increase in the skills of village officials in managing the website.

Implementation of Apriori and Fp-Growth Algorithms In Forming Association Patterns Based On Unwaha Cooperative Sales Transactions Cahyaningtyas, Dhita; Miftachuddin, Achmad Agus Athok
NEWTON: Networking and Information Technology Vol. 4 No. 2 (2024): October
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/newton.v4i2.5085

This study implements the Apriori and FP-Growth algorithms to identify association rules in sales transaction data from the UNWAHA Multi-Purpose Cooperative. Both algorithms successfully discovered product relationships, with similarities in rules for items like MAKARONI ASEP, KRUPUK PAK JONO, and KRUPUK 500. The FP-Growth algorithm, implemented using RapidMiner, outperformed Apriori in processing speed by 11 seconds and demonstrated higher accuracy in rule generation. Optimal results were achieved with minimum support and confidence values of 0.3 and 0.9 for Apriori (generating 5 rules), and 0.52 and 0.9 for FP-Growth (generating 6 rules). These settings balanced between generating too many rules, which could complicate interpretation, and too few, which might miss important patterns. Based on the analysis, strategic recommendations for the cooperative include implementing product bundling and discounts for frequently co-purchased items nearing expiration, optimizing product placement by grouping commonly associated items (e.g., MAKARONI ASEP, KRUPUK PAK JONO, KRUPUK 500, SOSIS SO NICE, and YUPI ALL VARIAN 5G) in easily accessible locations, and increasing stock for high-demand products like LE MINERALE. This research demonstrates the practical application of association rule mining in retail, offering data-driven insights to enhance sales strategies and inventory management for the UNWAHA Cooperative.

Sentiment Analysis of Online Game Clash of Clans Reviews Using the K-Nearest Neighbor Method Prastyo, Andika; Miftachuddin, Achmad Agus Athok
NEWTON: Networking and Information Technology Vol. 4 No. 3 (2025): February
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/newton.v4i3.5099

Clash of Clans is a popular strategy game with millions of players worldwide. User reviews for this game are available on various online platforms. Sentiment analysis of these reviews can provide valuable insights into players' experiences and opinions. In this study, the researchers used the K-Nearest Neighbor (KNN) algorithm to classify the sentiment of Clash of Clans player reviews collected from the Google Play Store. Experimental results show that with a 60:40 training and testing data split, the KNN model was able to classify review sentiment with an accuracy of 64.52%, a precision value of 68.4%, a recall value of 88%, and an F1-score of 76.97%. The application of TF-IDF word weighting produced high accuracy at k-2 with an accuracy of 95.55%, precision of 96.16%, recall of 95.55%, and F1-score of 95.59%. These results indicate that KNN can be an efficient tool for analyzing player sentiment towards the Clash of Clans game.

Implementation of data mining to predict BLT receipts in Kedungbetik village using the c4.5 algorithm Saputra, Gilang Dwi; Miftachuddin, Achmad Agus Athok
NEWTON: Networking and Information Technology Vol. 4 No. 3 (2025): February
Publisher : LPPM Universitas KH. A. Wahab Hasbullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/newton.v4i3.5142

Receiving Direct Cash Assistance (BLT) is a government program to help poor people meet basic needs. This research aims to implement data mining techniques to predict BLT receipts in Kedungbetik Village using the C4.5 algorithm. The C4.5 algorithm was chosen because of its ability to build efficient and accurate decision trees. The data used includes attributes such as ID, name, address, type of work, BLT criteria and class. The data is analyzed to find patterns and relationships that are relevant to the BLT acceptance criteria. The research results show that the C4.5 algorithm can build accurate prediction models with a high success rate. This model is expected to help village governments identify residents who are entitled to receive BLT in a more targeted manner. This research contributes to the development of a more transparent and accountable BLT recipient selection method, and can be applied in other villages with similar characteristics. In this way, it is hoped that the distribution of BLT will be more even and effective, helping to reduce the level of poverty in society.

Prediksi Tingkat Keberhasilan Studi Kinerja Santri Menggunakan Algoritma C 5.0 Miftachuddin, Achmad Agus Athok; Kusrini, Kusrini; Luthfi, Emha Taufiq
SAINTEKBU Vol. 13 No. 01 (2021): Vol. 13 No. 01 Januari 2021
Publisher : KH. A. Wahab Hasbullah University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32764/saintekbu.v13i01.2523

The success of pesantren education institutions can be measured by the success of their students. By predicting the possible outcomes of the learning process based on prediction results can help an Islamic boarding school, by adjusting the factors that contribute and influence the success rate of students' performance studies. And by utilizing data mining techniques that can be used to increase the level of success and reduce the failure of students. this can greatly help pesantren educational institutions to improve their graduates 'skills, because data mining is the best solution to find hidden patterns and can predict the success of students' performance studies. This research presents a model based on decision tree classification algorithm C 5.0 used in this model with alumni tracer study filled by santri alumni. In this study also used the k-folds cross validation test scenario with k values of 2,3,6,10 and 15 with a total of 300 alumni data and 84 data used for validation tests without cross validation. Determination of the criteria for the classification results using a confusion matrix form the measurement of the classification results obtained, namely the highest value in this study is 95% resulting from 15 folds the scenario 1. And form the results of testing the validation data without cross validation, the corresponding results are 73.81%, when compared to the k-folds, there was an increase of 21.19% and it can be ignored that the C 5.0 algorithm is able to classify well. So that pesantren educational institutional can provide a foundation in the arrangement for their students in deciding the right school choice.

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