Implementation of Apriori and Fp-Growth Algorithms In Forming Association Patterns Based On Unwaha Cooperative Sales Transactions

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

Pelatihan Tajwid untuk Pengajar dan Santri TPQ di Desa Turipinggir

Santri santri TPQ di Desa Turipinggir banyak yang mengalami Kesulitan dalam menerapka ilmu tajwid dalam membaca Al-Qur'an. Pelatihan ini bertujuan untuk meningkatkan pemahaman dan keterampilan pengajar TPQ dalam mengajarkan tajwid kepada santri, sekaligus meningkatkan kemampuan santri dalam membaca Al-Quran dengan benar sesuai dengan prinsip tajwid. Hasil penelitian menunjukkan bahwa pelatihan tajwid memiliki dampak positif yang signifikan pada pemahaman dan keterampilan pengajar dalam mengajarkan tajwid kepada para santri. Selain itu, santri TPQ di Desa Turipinggir juga mengalami peningkatan yang berarti dalam kemampuan mereka membaca Al-Quran dengan benar. Hasil ini mengindikasikan bahwa pelatihan tajwid berperan penting dalam meningkatkan kualitas pendidikan agama Islam di desa tersebut

Implementasi Teknologi Tepat Guna Alat Penyiraman Otomatis Sebagai Penunjang Ketahanan Pangan Keluarga Berbasis Pertanian Urban

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

PREDIKSI TINGKAT KEBERHASILAN STUDI KINERJA SANTRI MENGGUNAKAN ALGORITMA C 5.0

Keberhasilan lembaga pendidikan pesantren dapat diukur dari keberhasilan santrinya. Dengan memprediksi kemungkinan hasil dari proses pembelajaran berdasarkan hasil prediksi dapat membantu suatu lembaga pendidikan pesantren, dengan menyesuaikan faktor-faktor yang berkontribusi dan mempengaruhi tingkat keberhasilan studi kinerja santri. Dan dengan memanfaatkan teknik data mining yang dapat digunakan untuk meningkatkan tingkat keberhasilan dan mengurangi kegagalan santri. hal ini dapat sangat membantu lembaga pendidikan pesantren untuk meningkatkan kecakapan lulusannya, karena data mining merupakan solusi terbaik untuk menemukan pola tersembunyi dan dapat memprediksi tingkat keberhasilan studi kinerja santri. Penelitian ini menyajikan model berdasarkan pohon keputusan klasifikai algoritma C 4.5 yang digunakan dalam model ini dengan tracer study online yang diisi oleh alumni santri, tracer study online ini terdiri dari 12 Pertanyaan yang mencakup bidang, seperti sekolah, status sekolah, jumlah saudara, riwayat sebelum dipondok, kategori pondok, jarak, dan beasiswa merupakan data status sosial santri ketika masih menjadi calon santri yang akan menentukan sekolah menengah atas. Dan data riwayat akademik terdahulu santri yang meliputi rata-rata raport, rata-rata usbn, rata-rata un, prestasi dan level keberhasilan yang paling terkait dan mempengaruhi studi kinerja santri. Dan sebanyak 300 tracer study alumni di kumpulkan dan diimplementasikan kedalam bahasa pemrograman r untuk membangun model ini menggunakan algoritma C 4.5. Dari hasil pengujian menggunakan model tersebut diperoleh akurasi sebesar ............. dan dapat disimpulkan bahwa algoritma C 4.

Prediksi Tingkat Keberhasilan Studi Kinerja Santri Menggunakan Algoritma C 5.0

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