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Edukasi dan Sosialisasi Pencegahan dan Pengendalian COVID-19 melalui Media Poster di Desa Bojongsoang, Kabupaten Bandung Caesaron, Dino; Salma, Sheila Amalia; Prasetio, Murman Dwi; Rifai, Mohammad Husain
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol 6, No 2 (2021): May 2021
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v6i2.5354

The COVID-19 virus has infected many people, resulting in death tolls around the world. So, it is necessary to adopt a clean and healthy lifestyle and implement health protocols such as using masks, washing hands and maintaining distance. This community service activity aims to provide education and assistance to community representatives in Desa Bojongsoang, Bandung, to always implement a healthy and clean lifestyle and health protocols. Educational activities are carried out by providing counseling with the methods of lectures, discussions, and questions and answers. Material delivery is also conveyed through the media of posters, so that the posters can be affixed to strategic areas so that it can be seen and read effectively. In this activity, an evaluation of the level of community compliance in implementing health protocols while outside the home was also carried out, by distributing questionnaires before the activity took place. As a result, in general the community is disciplined in applying health protocols while outside the home. Several findings were also obtained in this simple survey, so that these findings can be used as initial data/information for local stakeholders to streamline education and socialization in efforts to prevent the massif transmission of the COVID-19 virus.DOI:Â https://doi.org/10.26905/abdimas.v6i2.5354

The hybrid design of supervised learning algorithm for design and development in classifications a defect in clay tiles Prasetio, Murman Dwi; Xavier, Rais Yufli; Rachmat, Haris; Wiyono, Wiyono; Atmaja, Denny Sukma Eka
International Journal of Industrial Optimization Vol 2, No 2 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v2i2.4449

The strength of the company's competitiveness is needed because the current industrial development is very rapid. It is necessary to maintain the quality and quantity of the products produced according to company standards. Â One of the companies that must maintain the quality and quantity is PT. XYZ is a clay tile company. The classification of products used by this company to maintain good quality is three classes: good tile, white stone tile, and cracked tile. However, quality control based on classification still uses the traditional way by relying on sight. Â It can increase errors and slow down the process. It can be overcome with artificial visual detectors. It is a result of the rapid development of automation. So to detect defects, this research can use image preprocessing, supervised learning algorithms, and measurement methods. Â Support Vector Machine (SVM) is used in this study to perform classification, while feature extraction on clay tiles used the Local Binary Pattern (LBP) method. The algorithm is made using python, while for image retrieval, raspberry pi is used. The linear kernel on the SVM algorithm is used in this study. The conclusion in this study obtained 86.95% is the highest accuracy with a linear kernel. It takes 10.625 seconds to classify.

Rancang Bangun Klasifikasi Cacat Pada Genting Menggunakan Metode Support Vector Machine (SVM) Rais Yufli Xavierullah; Murman Dwi Prasetio; Denny Sukma Eka Atmaja
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol 7 No 02 (2020): Jurnal Rekayasa Sistem & Industri - Desember 2020
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v7i2.420

Pengendalian kualitas merupakan suatu sistem yang dapat membantu suatu perusahaan dalam menjaga dan mempertahankan kualitas produk agar tidak adanya terjadi cacat produk. PT. XYZ merupakan salah satu perusahaan yang berada pada bidang industri genting tanah liat. Pada setiap bulannya PT. XYZ memiliki pengembalian produk karena cacat dengan rata-rata 2225 genting. Salah satu masalah yang terjadi pada PT. XYZ yaitu proses inspeksi yang hanya mengunakan penglihatan. Penggunaan penglihatan dapat memiliki risiko seperti peningkatan biaya operasi karena pemeriksaan yang salah, kegagalan mendapatkan bisnis, dan pengerjaan ulang. Dengan perkembangan tekhnologi dapat mengatasi hal tersebut dengan ditemukannya pendeteksi bersifat buatan dengan menggunakan metode pengukuran, preprocessing gambar, dan algoritma dalam mendeteksi cacat tersebut. Pada penelitian ini menggunakan metode Support Vector Machine (SVM) dalam melakukan pengklasifikasian cacat. Pengambilan gambar secara langsung pada penelitian ini menggunakan raspberry pi dan pembuatan sistem algoritma menggunakan software pyhton. Penelitian ini menggunakan kernel linear pada algoritma SVM. Hasil pada penelitian ini menyimpulkan bahwa tingkat akurasi tertinggi yaitu 88,6% dengan menggunakan kernel linear.

Identifikasi Objek/Produk untuk Proses Stock Taking Barang menggunakan Konsep Object Recognition Muhammad Nashir Ardiansyah; Prafajar Sukssesanno Muttaqin; Murman Dwi Prasetio; Nia Novitasari
JRSI (Jurnal Rekayasa Sistem dan Industri) Vol 8 No 01 (2021): Jurnal Rekayasa Sistem & Industri - Juni 2021
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/jrsi.v8i1.455

Aktivitas pemeriksaan persediaan atau Stock-taking merupakan aktivitas pemeriksaan barang manual oleh petugas gudang yang dilakukan secara rutin pada aktivitas pergudangan. Aktivitas ini berfungsi untuk menentukan akurasi persediaan dan mengetahui kondisi persediaan sehingga dapat mengurangi resiko kehilangan, kerusakan, dan keausan persediaan. Aktivitas pemeriksaan persediaan termasuk aktivitas yang memerlukan biaya dan waktu yang besar. Selain itu, aktivitas ini juga tak luput dari kesalahan manusia karena aktivitas pengecekan merupakan aktivitas yang membutuhkan ketelitian tinggi. Penelitian ini bertujuan untuk melakukan identifikasi objek atau produk yang bertujuan untuk menggantikan pemeriksaan manual manusia sehingga proses pemeriksaan jenis dan jumlah barang dapat dilakukan secara otomatis dan presisi. Pengolahan citra digital berbentuk Object Recognition digunakan pada penelitian ini untuk menentukan jenis objek dan jumlah objek. Hasil penelitian menunjukan tingkat deteksi produk tunggal mencapai 90% yang dipengaruhi oleh sudut pengambilan gambar dan tingkat deteksi jumlah objek tunggal mencapai > 81% dengan tingkat pencahayaan yang normal dan sudut pengambilan gambar yang ideal. Diharapkan dengan adanya sistem ini, biaya untuk aktivitas pemeriksaan persediaan dan aktivitas pergudangan secara umum dapat ditekan sehingga efisiensi dan efektivitas dapat dicapai.

The hybrid design of supervised learning algorithm for design and development in classifications a defect in clay tiles Murman Dwi Prasetio; Rais Yufli Xavier; Haris Rachmat; Wiyono Wiyono; Denny Sukma Eka Atmaja
International Journal of Industrial Optimization Vol. 2 No. 2 (2021)
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/ijio.v2i2.4449

The strength of the company's competitiveness is needed because the current industrial development is very rapid. It is necessary to maintain the quality and quantity of the products produced according to company standards. Â One of the companies that must maintain the quality and quantity is PT. XYZ is a clay tile company. The classification of products used by this company to maintain good quality is three classes: good tile, white stone tile, and cracked tile. However, quality control based on classification still uses the traditional way by relying on sight. Â It can increase errors and slow down the process. It can be overcome with artificial visual detectors. It is a result of the rapid development of automation. So to detect defects, this research can use image preprocessing, supervised learning algorithms, and measurement methods. Â Support Vector Machine (SVM) is used in this study to perform classification, while feature extraction on clay tiles used the Local Binary Pattern (LBP) method. The algorithm is made using python, while for image retrieval, raspberry pi is used. The linear kernel on the SVM algorithm is used in this study. The conclusion in this study obtained 86.95% is the highest accuracy with a linear kernel. It takes 10.625 seconds to classify.

RANCANGAN ALAT PEMOTONG SINGKONG OTOMATIS UNTUK MENINGKATKAN PRODUKTIVITAS DAN KUALITAS PRODUKSI KERIPIK SINGKONG DI DESA SUKAPURA Murman Dwi Prasetio; Sheila Amalia Salma; Dino Caesaron; Nur Ikhsan Ashari R; Annisa Permatasari Nugraha
Charity : Jurnal Pengabdian Masyarakat Vol 5 No 1a (2022): Special Issue
Publisher : PPM Universitas Telkom

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/charity.v5i1a.4494

Tahun 2021 awal, pengolahan singkong telah dilakukan di Desa Sukapura dengan produk yang dihasilkan adalah keripik singkong. Dalam proses pembuatannya, alat yang digunakan masih menggunakan tenaga manusia sehingga perlu dilakukan perbaikan supaya meningkatkan produktivitas dan kualitas produksinya. Kegiatan ini bertujuan untuk memperbaiki alat pemotong singkong sederhana menjadi alat pemotong singkong otomatis untuk meningkatkan produktivitas dan kualitas produksi keripik singkong. Metode yang diterapkan dalam kegiatan ini adalah metode reverse engineering. Berdasarkan hasil analisa desain rancangan yang telah dibuat, kapasitas yang dapat dihasilkan kurang lebih 1kg/menit dengan asumsi diameter singkong 30 mm dan massa 879 gram. Hasil rancangan ini selanjutnya akan disampaikan oleh Desa kemudian akan dibuat alatnya.

An Approaching Machine Learning Model: Tile Inspection Case Study Murman Dwi Prasetio
International Journal of Innovation in Enterprise System Vol 4 No 01 (2020): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v4i01.44

Clothing, food, and shelter are three basic types of needs in our lives. If one of the basic needs is not met then there can be an imbalance in our lives. One of the basic needs is to build a house. House needs a tile or roof to cover of a building that can protect all weather influences. One company in Majalengka only uses fleeting vision in inspection process. This can result in a decrease in work productivity. This paper proposed an approach machine learning model for classification of defects was carried out in the inspection process. Feature extraction was performed using the Local Binary Pattern (LBP) method to obtain training features. The next stage is training (training) to the characteristics of training that has been obtained. Furthermore, the database obtained from the training results will be used to classify tile image test data using the Support Vector Machine (SVM) method. From the test results, the system is made capable of classifying defects of a maximum accuracy value of 63.21%. The results obtained are the best accuracy value generated is 76.67% with LBP parameters used are 256 × 256 cell size and radius 2. While for SVM parameters use Polynomial kernel type or RBF with OAA multiclass

Identical Parallel Machine Scheduling to Minimize Makespan Using Suggested Algorithm Method at XYZ Company Naura Maisazahra; Murni Dwi Astuti; Murman Dwi Prasetio
International Journal of Innovation in Enterprise System Vol 6 No 01 (2022): International Journal of Innovation in Enterprise System
Publisher : School of Industrial and System Engineering, Telkom University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25124/ijies.v6i01.146

XYZ company produce the various shape of motor spare parts product. The company has three identical parallel spot welding machines that use a random method of production scheduling, based on machine capacity without any sequence of jobs, and only use daily production targets given to operators. Based on the data, the actual scheduling of the machines has a very large completion time difference between each machine, or the machine loading is uneven. As a result, the makespan becomes longer with a value of 440000 seconds (26 days). This research aims to minimize the existing makespan by giving proposed scheduling, using the suggested algorithm method, which has a small number of iterations and has an optimal result. The method begins with the longest processing time sequence rule which is used as the upper bound for the first iteration, then continued to calculate the lower bound and machine workload. The calculation stops at the 15th iteration because the completion time value exceeds the lower and upper bound so that the optimal scheduling taken is scheduled in the 14th iteration with a makespan value of 914412 seconds (16 days). The proposed scheduling can minimize the makespan from the actual schedule by 38%.

PENDAMPINGAN PENGGUNAAN ALAT PEMOTONG SINGKONG OTOMATIS DAN SOSIALISASI K3 DI DESA SUKAPURA Dino Caesaron; Sheila Amalia Salma; Murman Dwi Prasetio; Luthfi Romiz Husaini
Prosiding COSECANT : Community Service and Engagement Seminar Vol 2, No 2 (2022)
Publisher : Universitas telkom

Pekerja merupakan asset utama dalam suatu industri/usaha. Baik itu usaha kecil, menengah, maupun besar. Peran pekerja tidak bisa digantikan serta merta oleh mesin, sehingga Kesehatan dan Keselamatan Kerja mereka perlu dijaga agar tercipata suasana enak, nyaman, aman, sehat, efektif, efisien (ENASE) demi terwujudnya produktivitas yang erat kaitannya dengan output produksi. Desa Sukapura memiliki usaha kecil keripik singkong, yang digawangi oleh Ibu-ibu Pemberdayaan Kesejahteraan Keluarga (PKK). Industri kecil ini dimulai di tahun 2021 awal, dimana saat itu proses pemotongan singkong untuk menjadi keripik menggunakan pemotongan secara manual. Sebelumnya, awal tahun 2022, Fakultas Rekayasa Industri mengadakan kegiatan Pengabdian kepada Masyarakat (PkM) dengan output pengadaan mesin potong singkong otomatis. Dengan adanya mesin ini, kapasitas pemotongan meningkat menjadi kurang lebih 1kg/menit. Pada Pengabdian kepada Masyarakat kali ini, tim yang sama mengadakan pendampingan penggunaan alat, dengan fokus pada optimalisasi penggunaan mesin dan sosialisasi bentuk Kesehatan dan Keselamatan Kerja, diantaranya pengadaan Alat Pelindung Diri (APD) berupa sarung tangan, alat Pertolongan Pertama pada Kecelakaan, dan beberapa petunjuk teknis penggunaan alat. Dari kegiatan kali ini, diharapkan pengguna mesin dapat menyadari pentingnya Kesehatan dan Keselamatan Kerja khususnya saat menggunakan alat tersebut.Kata Kunci: kesehatan dan keselamatan kerja, mesin potong otomatis, alat pelindung diri, pengabdian masyarakat

Utilizing appropriate technology dry seasoning mixing and sealing machines to increase productivity of cassava chips business Dino Caesaron; Sheila Amalia Salma; Farell Ardani; Faisal Muhammad Nasution; Murman Dwi Prasetio
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang Vol 8, No 2 (2023): May 2023
Publisher : University of Merdeka Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26905/abdimas.v8i2.9993

Sukapura Village, located in Bandung Regency, has a Family Welfare Empowerment (PKK) program that includes various activities, such as the production of cassava chips. Currently, there is a high demand for cassava chips that cannot be met. Through analysis conducted by the community service team, it has been determined that the demand for cassava chips exceeds the production capacity. One of the contributing factors is the manual process involved in making cassava chips, which takes a relatively long time. One specific manual process is the mixing of cassava chips with dry seasoning. The cassava chips are placed in a container, and then dry spices are added. The mixing process is carried out by hand, ensuring that the spices are evenly distributed throughout the cassava chips. This manual process typically takes around 10-14 minutes for every 1.5 kg of cassava chips. To address this issue and improve efficiency, the community service team has designed and constructed a machine specifically for mixing dry seasoning. With this machine, the mixing process is significantly more efficient, taking less than 5 minutes to achieve optimal results. As a result, the time efficiency and productivity of the mixing process have greatly increased.

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