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Journal : JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI

Simulasi Rancangan Pemetaan Sekolah dengan Metode Algoritma Machine Learning Menggunakan Software RapidMiner Aisyah Sabrina Aprilia; Budi Aribowo; Ahmad Chirzun
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 7, No 1 (2022)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v7i1.877

Abstract

The growth in the number of educational institutions creates competition which encourages each educational institution to have a special strategy to deal with it. The challenge that must also be faced in the world of education is the uneven quality of education in various regions. One way to face the challenge of equal distribution of school quality is to create programs that suit the needs of each school. In this study, solving the problem of mapping schools owned by the XYZ educational foundation was carried out. The results of this study obtained a design of a school mapping indicator instrument to assess the quality of each school. Then obtained a simulation of school mapping design from the results of unsupervised learning with the K-Means and K-Medoids Clustering methods, as well as a simulation of predicting school mapping patterns from the results of supervised learning with the Decision Tree C4.5 method. The results of K-Medoids were selected for the proposed school mapping with a Davies Bouldin index value of 0.112. The model cluster owned by K-Medoids, namely Excellent School, has 44 schools; at Good School, there are 36 schools; and in the Improvement School, there are 20 schools. Meanwhile, the prediction pattern with Decision Tree C4.5 obtained rules with the dominant indicator attributes (IND) 1, 2, 3, and 4. Also, the prediction simulation results using the 80:20 ratio decision tree model show the new testing data with the assumption that the 101st school goes to cluster_1 with an accuracy rate of 95%.Keywords - Decision tree, K-means, K-medoids, School mapping indicator instrument.
Rancangan Perencanaan Produksi Jenis Produk Make To Order dengan Pendekatan Simulasi Sistem Dinamik Ahmad Chirzun; Nunung Nurhasanah; Tri Anita Utami
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 3, No 3 (2016)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v3i3.215

Abstract

Abstrak - Perencanaan produksi merupakan strategi jangka menengah yang dapat mengoptimalkan implementasi industri. Produktivitas tinggi menjelaskan bahwa kinerja perencanaan produksi berjalan dengan baik. Penentuan jumlah tenaga kerja yang optimal untuk menghasilkan satu unit produk juga harus dipertimbangkan secara ilmiah dan tidak melalui percobaan atau intuisi sebuah industry. Selain itu, penentuan jumlah kebutuhan material juga harus direncanakan sesuai dengan jumlah pesanan yang diterima industri. Jika jumlah kebutuhan material teridentifikasi, maka industri dapat dengan mudah menentukan biaya produksi untuk memenuhi permintaan agar bisa selesai tepat waktu sesuai dengan waktu yang dijanjikan.Tujuan umum yang ingin dicapai dalam penelitian ini adalah untuk merancang perencanaan produksi produk sesuai pesanan. Tujuan spesifik dari penelitian ini adalah: (1) Tentukan waktu standar pembuatan satu unit produk dengan metode clock-stop, (2) tentukan jumlah optimal kebutuhan operator di setiap stasiun kerja dengan pendekatan algoritma Lang, dan (3) menentukan prediksi kebutuhan kuantitas material dan biaya produksi dengan pendekatan simulasi sistem yang dinamis.Hasil penelitian ini adalah: (1) waktu baku untuk membuat satu pintu unit adalah 279,41 menit atau 4,66 jam, (2) Algoritma Penjadwalan Resource yang terbatas dengan metode Lang menunjukkan bahwa waktu yang digunakan untuk membuat satu pintu lebih dari 179,4 menit. Perhitungan Lang menggunakan algoritma menghasilkan waktu penyelesaian produksi lebih cepat dari pada kondisi saat ini dalam jumlah 203,4 menit dan (3) kebutuhan bahan untuk membuat satu pintu adalah: 0,5 kayu lapis 16 mm, 12 mm 0,5 lapis kayu lapis, kayu lapis 18 1,05 mm , dan 0,15 8 lem kuku dan tunas. Biaya yang dibutuhkan untuk menghasilkan satu pintu adalah USD 1,033,287.50 berdasarkan metode simulasi sistem dinamis.Kata Kunci – Waktu Baku, Penjadwalan Sumber Daya, Biaya, Algoritma Lang, Simulasi Sistem DinamikAbstrak – Production planning is a medium-term strategy that can be optimized implementation by the industry. High productivity explains that the performance of production planning has been going well. Determination of the optimal amount of labor to produce one unit of the product must also be considered scientifically and not through trial and error or intuition industry. In addition, the determination of the amount of material needs should also be planned in line with the number of orders received by the industry. If the amount of material needs are identified, then the industry can easily determine the cost of production to meet demand in order to finish on time in accordance with the time promised.The general objective to be achieved in the research is to design production planning of products make to order. The specific objectives of this study were: (1) Determine the standard time of making one unit of product by the method of clock-stop, (2) determine the optimal number of operator needs at each work station with the approach of Lang's algorithm, and (3) determine the prediction needs material quantities and costs production with dynamic system simulation approach.The results of this study are: (1) raw time to make one unit door is 279.41 minutes or 4.66 hours, (2) limited Resource Scheduling Algorithm with Lang's method showed that the time used to make one door is over 179.4 minutes. Lang's calculations using the algorithm generate production turnaround time is faster than the current conditions in the amount of 203.4 minutes and (3) the need for the material to make one door is: 0.5 plywood 16 mm, 12 mm 0.5 plywood, plywood 18 1.05 mm, and 0.15 8 nail glue and shoot. The cost required to produce one door is USD 1,033,287.50 based on the method of simulation of dynamic systems.Keywords – Time Standard, Resources Scheduling, Cost, Lang’s algorithm, Dynamic System Simulation
Perancangan Kinerja Kepala Sekolah Menengah Atas dalam Perspektif Balanced Scorecard (BSC) Menggunakan Analytical Network Process (ANP) (Studi Kasus : SMA ABC Jakarta) Rahmah Laila Sahar; Ahmad Chirzun
JURNAL Al-AZHAR INDONESIA SERI SAINS DAN TEKNOLOGI Vol 7, No 1 (2022)
Publisher : Universitas Al Azhar Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36722/sst.v7i1.844

Abstract

Education in the sense of schooling is now leading to the process of industrialization. The world of education can no longer be considered as a social institution only but must be treated industrially, which is treated or managed professionally. Due to the increasingly fierce world of competition today, if educational institutions are not managed professionally, then the customer will leave educational institutions if they are poorly managed. In various case studies, the Balanced Scorecard has provided many benefits to the development of education management, especially SMA ABC Jakarta does not yet have a performance measurement based on the Balanced Scorecard method. In the Balanced Scorecard method, the measurement is based on four perspectives, namely, financial, customer, internal business processes, and growth and learning perspectives. Therefore, a good performance design needs to be done to realize the vision of this ABC Jakarta High School. So, a performance design was carried out for the Principal of SMA ABC Jakarta using the perspective of the Balanced Scorecard method. Then, the weighting and prioritization of each KPI are carried out using the Analytical Network Process with the help of Super Desicion software. The results of this study are in the form of a Scorecard List, and there are 13 Principal KPIs from each perspective, namely 1 KPI from a Financial perspective, 9 KPIs from an Operational perspective, 2 KPIs from a Customer perspective, and 1 KPI from an HR perspective. Then, for the priority results of this KPI, it is found in the operational perspective, precisely on the KPI for the Implementation of Supervision of the Learning Process by Schools or O9 with a weight of 0.1992 or in the percentage of 20%, this indicates that the Implementation of Supervision of the Learning Process by Schools is the most important thing. compared to other KPIs.Keywords - Analytical network process, Balanced scorecard, Perancangan kinerja, Software super decision.