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All Journal EDUMATIC: Jurnal Pendidikan Informatika Jurnal Algoritma Cipasung Techno Pesantren: Scientific Journal
Hilman Mutaqin
STMIK LIKMI Bandung
Computer Science & IT Education Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology

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Perancangan Mesin Penghalus Sampah dengan Menggunakan Prinsip Inovasi Frugal Di Pondok Pesantren Cipasung Tasikmalaya Wahyu Teri Aripin; Hilman Mutaqin
Cipasung Techno Pesantren: Jurnal Ilmiah Vol 17 No 1 (2023): Cipasung Techno Pesantren: Scientific Journal
Publisher : LPPM Sekolah Tinggi Teknologi Cipasung

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (835.778 KB)

Abstract

Cipasung Islamic Boarding School is one of the Islamic Boarding Schools that still carries out waste disposal activities with an open dumping system. The system causes various losses such as no added value for Islamic boarding schools and environmental pollution at the Final Disposal Site. One solution to the waste problem is to manage it into waste briquettes. After drying and chopping, it is then mashed with a garbage crusher machine. Refining machines sold in the market are quite expensive, therefore, a waste-refining machine is designed with the principle of saving innovation. These innovations create products that are cheaper than existing products. The Design Process Using Machine Design Procedures. Making machine drawings using LibreCAD and Blender software. The price of the machine is calculated using the bill of materials. Machines designed using materials available in the market such as used drums, angle iron, large knives and small power dynamos. Has the same capacity and speed of waste processing as machines sold in the market, and has a lower price.
Penerapan Algoritma K-Means Pada Penjualan Saldo Transportasi Online Studi Kasus Konter XYZ Hilman Mutaqin
Jurnal Algoritma Vol 20 No 1 (2023): Jurnal Algoritma
Publisher : Institut Teknologi Garut

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33364/algoritma/v.20-1.1244

Abstract

The XYZ counter is a counter in Tasikmalaya with one of the products it sells, online transportation balances such as Maxim, Gojek, and Grab. With the increasing number of online drivers, more and more transactions take place so that more and more data is generated. However, this data is not processed so that it accumulates and does not provide new knowledge for the counter owner. The purpose of this research is to cluster sales of online transportation balances so that they become input, especially the XYZ counter promotion strategy. The method used is clustering with the K-Means algorithm to produce clusters based on the nominal purchase price. The dataset used in this study amounted to 4,867 data but after cleansing it became 2,642 data. The dataset was obtained from XYZ counter sales in October 2022. This study produced 2 clusters with cluster C1, namely a low nominal of 2,499 data with a percentage of 94.59%, while the number of clusters C2 with a high nominal value of 143 data with a percentage of 5.41 . The results of this study indicate that the k-means algorithm can be used for clustering sales of online transportation balances at the XYZ counter, and sales of online transportation balances are quite good because the number of data clusters with low nominal is more than clusters with high nominal.
Mengidentifikasi Strategi Promosi pada Jasa Penjualan Saldo Digital menggunakan Pendekatan Clustering Hamka Surya Nugraha; Hilman Mutaqin; Adittia Fathah; Christina Juliane
Jurnal Pendidikan Informatika (EDUMATIC) Vol 7 No 1 (2023): Edumatic: Jurnal Pendidikan Informatika
Publisher : Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/edumatic.v7i1.7385

Abstract

The rapid development of information technology has impacted various fields, one of which is cellular telephony. The increasing number of people who have cell phones impacts the need for digital products, especially digital balances, which are increasing. This study aims to identify digital balance sales so that they become input, especially the ZAR counter-promotion strategy. This study uses the clustering method and the K-Means Algorithm to obtain several clusters of transaction types based on the nominal sales price. The silhouette is used to find the number of clusters. The dataset used in this study is the sale of digital ZAR counterbalances from November 2021 to October 2022. This research resulted in a total of 2 clusters. First cluster with low price nominal sales was 49,213 data, while second with high nominal price sales was 3,076. The study results show that the k-means algorithm can be used to cluster sales of ZAR counter digital balances, and ZAR counter digital balances are quite good. Still, there is data in clusters with high nominal prices. ZAR counter owners can create promotional strategies by providing discounts below 142,000 so that customers who buy at a high nominal price move to a lower nominal price.
Penerapan Algoritma K-Means Clustering Pada Penjualan Voucer Internet Study Kasus Konter Abc Mohammad Sabar Jamil; Nugraha Yudhasyah; Hilman Mutaqin; Moh. Milki I. M.
Cipasung Techno Pesantren: Jurnal Ilmiah Vol 16 No 2 (2022): Cipasung Techno Pesantren: Scientific Journal
Publisher : LPPM Sekolah Tinggi Teknologi Cipasung

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

Abstract

Rapid technological advances will bring changes to aspects of human life, one of which is how to communicate. With the discovery of cell phones, it is easier for humans to communicate remotely, one of which is WhatsApp. If someone wants to use WhatsApp, internet access is needed so that the sales of internet vouchers are increasing. Data mining is the process of processing data in order to obtain new information, clustering is chosen because it aims to create clusters from existing data. This study aims to cluster internet vouchers so that counter owners can make stock vouchers more precisely. The results of this study yielded the highest value for cluster C1 35,000 while the lowest value for C2 was 43,000 with a total of 99 data with a percentage of 95.19% while cluster C2 consisted of 5 data with a percentage of 4.81%. the conclusion is that the most purchased nominal vouchers are under 40,000. therefore the counter owner can keep more stock for a nominal value below 40,000
Co-Authors Adittia Fathah Christina Juliane Hamka Surya Nugraha Moh. Milki I. M. Mohammad Sabar Jamil Nugraha Yudhasyah Wahyu Teri Aripin