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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
Prototipe Sistem Pengendalian Lampu Otomatis Menggunakan Sensor LDR Berbasis Arduino Uno Mutaqin, Hilman; Nugraha, Hamka; Sopyan, Yayan
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 9, No 1 (2026): Februari 2026
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v9i1.10548

Abstract

Abstrak – Cahaya mempunyai peranan penting dalam kehidupan sehari-hari untuk melihat dan beraktifitas. Salah satu cahaya yang cukup bermanfaat adalah cahaya yang berasal dari lampu ketika malam hari khususnya lampu luar rumah untuk menerangi area luar rumah. Namun pada beberapa skenario yang menyebabkan lampu rumah tidak menyala seperti ketika liburan keluarga ataupun mudik lebaran. Penelitian ini bertujuan untuk membuat prototipe sistem pengendalian lampu otomatis dengan sensor LDR. Mikrokontroler yang digunkan adalah Arduino Uno, sedangkan komponen yang digunakan adalah relay, sensor LDR, breadboard maupun kabel jumper. Hasil dari penelitian ini adalah membagi 4 klasifikasi intensitas cahaya yaitu gelap 50 lux, redup 150 lux, terang 500 lux, dan sangat terang 500 lux. Sistem diharapkan bisa menyalakan lampu jika kondisi cahaya gelap dan redup serta mematikan lampu jika kondisi cahaya terang dan sangat terang. Dari hasil pengujian sistem dapat dengan otomatis menyalakan dan mematikan lampu sesuai dengan kondisi cahaya yang berarti penelitian ini berjalan dengan baik.Kata kunci : Arduino Uno; Cahaya; Prototipe; Sensor LDR; Abstract - Light plays a crucial role in everyday life for vision and activities. One particularly useful form of light is the light emitted by lamps at night, particularly outdoor lights, which illuminate the outside of the home. However, in some scenarios, house lights may not be turned on, such as during family vacations or Eid homecoming trips. This study aims to create a prototype of an automatic light control system using an LDR sensor. The microcontroller used is an Arduino Uno, while the components used are a relay, an LDR sensor, a breadboard, and jumper cables. The results of this study are divided into four classifications of light intensity: dark (50 lux), dim (150 lux), bright (500 lux), and very bright (500 lux). The system is expected to turn on the lights when the lighting conditions are dark and dim and turn them off when the lighting conditions are bright and very bright. Test results show that the system can automatically turn the lights on and off according to the lighting conditions, indicating that this research is running well.Keywords: Arduino Uno; Light; Prototype; LDR Sensor;
ANALISIS PENGARUH JENIS MATERIAL TERHADAP AKURASI PENGUKURAN JARAK MENGGUNAKAN SENSOR ULTRASONIK HC-SR04 BERBASIS ARDUINO UNO Hilman Mutaqin; Adittia Fathah
Jurnal Informatika dan Teknik Elektro Terapan Vol. 14 No. 3 (2026)
Publisher : Universitas Lampung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23960/jitet.v14i3.10852

Abstract

Penggunaan sensor berbasis gelombang ultrasonik seperti sensor HC-SR04 telah banyak digunakan dalam berbagai penelitian yang membutuhkan pengukuran jarak seperti sensor parkir mobil serta pada berbagai penelitian yang lainnya. Namun penelitian untuk mengukur akurasi sensor pada berbagai jenis material masih sangat jarang. Penelitian ini bertujuan untuk mengukur akurasi sensor pada berbagai jenis material yaitu kayu, plastik, keramik, dan dinding dengan jarak sejauh 20cm. hasil pengujian yang telah dilakukan adalah akurasi tiap material berbeda-beda dengan material kayu diperoleh rata-rata akurasi 99.77% sedangkan plastik 99.78%, dan untuk akurasi pada material keramik dan dinding sama-sama 99.65%.