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All Journal Jurnal Pengabdian Kepada Masyarakat (Indonesian Journal of Community Engagement) Communications in Science and Technology Kaizen : Management Systems and Industrial Engineering Journal Angkasa: Jurnal Ilmiah Bidang Teknologi International Journal of Advances in Data and Information Systems Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Dawi Karomati Baroroh
Department Of Mechanical And Industrial Engineering, Faculty Of Engineering, Universitas Gadjah Mada
Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering

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Improvement of Andong Horseshoe Quality in Yogyakarta City to Support City Tourism Alva Edy Tontowi; Mochammad Noer Ilman; Dawi Karomati Baroroh
Jurnal Pengabdian kepada Masyarakat (Indonesian Journal of Community Engagement) Vol 7, No 1 (2021): March
Publisher : Direktorat Pengabdian kepada Masyarakat Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1477.586 KB) | DOI: 10.22146/jpkm.44045

Abstract

The Zero Kilometer Point is an important route for andong horses in Yogyakarta City. The renovation and replacement of road material with andesite can cause horses to slip because the horseshoes have not been adjusted to the new road material. If neglected, it can harm the horses and its owners, reducing the tourism industry in Yogyakarta. On the other hand, horseshoes demand is still met by small and medium enterprises (SME) without a well-standardized system. After doing technical testing to the existing horseshoe design, several alternative solutions were obtained for horseshoe redesign (1) by adding rubber pads and (2) serrated without rubber pads. Based on analysis and testing, it was found that horseshoe with the addition of rubber by 40% was able to increase the friction value to 0.54 or 10% from the initial condition. Besides improving the productivity and quality of SME horseshoe products, several solutions should be considered, including (1) change the layout design of SME by implementing 5S lean six sigma principles and (2) apply new methods/technology to maintain the standardization of horseshoe product. Implementation of both solutions will guarantee not only the quality product but also SME production. It is hoped that all the improvements that have been made will increase the quantity and quality of horseshoe products. Then it will also be able to improve the image of Yogyakarta City as a tourist city.
PEMETAAN SEKTOR BASIS UMKM KOTA YOGYAKARTA DENGAN PENDEKATAN LOCATION QUOTIENT (LQ) Muktamiroh Raisti Zuhannisa; Dawi Karomati Baroroh
KAIZEN : Management Systems & Industrial Engineering Journal Vol 5, No 1 (2022)
Publisher : Universitas PGRI Madiun

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25273/kaizen.v5i1.11469

Abstract

Tingkat pengangguran di Kota Yogyakarta adalah yang terbesar di antara 4 kabupaten/ kota di Provinsi Yogyakarta. Jumlah usaha mikro kecil dan menengah (UMKM) di Kota Yogyakarta terus meningkat dari tahun ke tahun dan juga menyerap tenaga kerja lebih banyak daripada industri besar dan sedang. Memberdayakan UMKM adalah salah satu cara untuk memperluas peluang kerja untuk melibatkan lebih banyak tenaga kerja dan mengurangi pengangguran. Penelitian ini bertujuan untuk mengidentifikasi dan memetakan jenis-jenis usaha yang berpotensi untuk melibatkan tenaga kerja di Kota Yogyakarta. Metode Location Quotient (LQ) digunakan untuk mengidentifikasi jenis UMKM basis dan non-basis pada sektor industri pengolahan di Kota Yogyakarta. Hasil perhitungan LQ pada UMKM di setiap kecamatan menunjukkan bahwa kecamatan yang memiliki variasi jenis UMKM basis paling banyak sampai dengan paling sedikit berturut-turut adalah Kecamatan Umbulharjo, Gondokusuman, Wirobrajan, Gondomanan, Danurejan, Jetis, Pakualaman, Mantrijeron, Mergangsan, Ngampilan, Gedongtengen, Tegalrejo, Kotagede, dan Kraton. Hasil ini dapat dijadikan acuan untuk mengembangkan UMKM agar lebih terarah ke depannya. 
Perancangan Alat Bantu Analisis Rapid Entire Body Assessment (REBA) Berbasis Aplikasi Android Dawi Karomati Baroroh; Ramadhan Ramadhan
Jurnal Nasional Teknik Elektro dan Teknologi Informasi Vol 7 No 3: Agustus 2018
Publisher : Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1383.938 KB)

Abstract

Work posture analysis is important because the wrong work posture can cause discomfort and fatigue in workers that can cause musculoskeletal disorder (MSDs). Rapid entire body assessment (REBA) is one of semi-quantitative posture analysis methods that are sensitive to the risk of MSDs in various occupational types. REBA analysis is usually done manually, so it takes a long time and there is a possibility of error. Therefore, it is necessary to design an REBA tool based on Android application analysis to facilitate and accelerate in posture analysis. This paper designed a tool of REBA analysis based on the Android application using MIT App Inventor 2. Furthermore, verification tests, validation, and usability tests are performed on the application design. There is also time comparison of REBA analysis manually and by using application (case study in Small and Medium Industries Aluminum, Giwangan, Yogyakarta). The results of this study indicate that the design of REBA applications based on Android has met the verification and validation test. Based on the usability test performed using System Usability Scale (SUS) method, the value obtained is 63.5, which means quite useful. In addition, the results of comparative REBA analysis times indicate a significant difference between manual calculation time and using the application, with time savings of REBA analysis using application of 51.19%.
Design of Difable Care (DC) mouse as the accessibility of people with hand disabilities Devita Ayuni Kusumaningsih; Akhmad Adham Nur Husaen; Muhammad Zhafran Haidar Muttaqin; Dawi Karomati Baroroh
Angkasa: Jurnal Ilmiah Bidang Teknologi Vol 14, No 1 (2022): Mei
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (659.249 KB) | DOI: 10.28989/angkasa.v14i1.1082

Abstract

Tuna daksa cacat tangan atau tidak memiliki tangan merupakan sebuah kelainan anggota gerak terutama bagian atas yang menyebabkan gangguan aktivitas yang melibatkan tangan. Di sisi lain, revolusi industri 4.0 menawarkan kemudahan digitalisasi sehingga akses komputer sudah selayaknya bisa dinikmati semua orang. Namun, hal itu tak berlaku bagi tuna daksa cacat tangan terutama yang berprofesi sebagai pelukis. Era digital menuntut mereka mengembangkan lukisan dengan komputer tetapi terhambat pada aksesibilitas komputer khususnya pointer/kursor. Hal inilah yang menjadi inspirasi perancangan Difable Care (DC) Mouse yang didesain berbentuk seperti sandal yang terhubung ke komputer melalui USB wireless. Fitur DC mouse yaitu klik kanan, klik kiri, scroll, dan drag. Metode terdiri atas tahap persiapan, perancangan, serta pelaksanaan dan evaluasi. Prototipe dibuat menggunakan mesin 3D printing berbahan filamen Acrylonitrile Butadiene Styrene (ABS). DC mouse menjadi solusi aksesibilitas penyandang tuna daksa cacat tangan dalam mengoperasikan pointer komputer sehingga mampu meningkatkan produktivitas melukis.
Kansei engineering approach for developing electric motorcycle Baroroh, Dawi Karomati; Amalia, Mya; Lestari, Nur Puji
Communications in Science and Technology Vol 4 No 2 (2019)
Publisher : Komunitas Ilmuwan dan Profesional Muslim Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.107 KB) | DOI: 10.21924/cst.4.2.2019.119

Abstract

Electric vehicles are considered one of the solutions that can reduce vehicle emissions into the environment. However, the enthusiasts' number of the electric motorcycle is still relatively really low. In order to escalate product and competitive value in the market, the design elements of the electric motorcycle have to develop. The aim of this research is to design electric motorcycle that appropriate with user needs and desires by utilizing Kansei Engineering. This study involved 212 respondents for the Semantic Differential I and 204 respondents for the Semantic Differential II. The results of this study were 14 pairs of kansei words which were used to evaluate 11 sample designs where there were 5 items and 14 design categories. The design specifications of the most dominant electric motorcycle were angled seat, type 1 of front hood, 2 slots for luggage box, type 3 of headlight, and type 2 of body hood.
Comparative Evaluation of Convolutional Neural Network Full Learning Model with Transfer Learning (VGG-16) for Coffee Bean Roasting Level Classification Tama, Mradipta Nindya; Saptomo, Amanat Bintang; Afrido; Baroroh, Dawi Karomati; Rifai, Achmad Pratama; Tho, Nguyen Huu
International Journal of Advances in Data and Information Systems Vol. 6 No. 2 (2025): August 2025 - International Journal of Advances in Data and Information Systems
Publisher : Indonesian Scientific Journal

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59395/ijadis.v6i2.1358

Abstract

Indonesia is the 3rd largest coffee producing country in the world in 2022-2023 with coffee production reaching 11.85 million bags per 60 kg of coffee. One of the important processes in coffee production is roasting because the roasting level of coffee beans can affect the taste and aroma of coffee. The problem faced is that the process of assessing the level of coffee roasting is traditionally carried out through visual observation by an expert (roaster). This method produces a subjective level of assessment and requires high skills and experience, making the assessment of the level of coffee roasting less efficient and prone to human error. Therefore, in this study the author aims to develop a Convolutional Neural Network (CNN) model for the classification of the level of coffee bean roasting that can achieve better and faster accuracy. In this study, the author compared two CNN architecture approaches for the classification of the level of coffee bean roasting. The first approach is full learning with an architecture consisting of three convolution layers. The second approach is transfer learning based on the VGG-16 model. From the results of the analysis, it is known that the full learning model has a better level of accuracy and a faster running time than the VGG-16 transfer learning. The CNN full learning model for coffee bean roasting level classification is able to classify the coffee bean roasting level, with an accuracy of 98.75% and a running time of 856 ms per step. The application of CNN for coffee roasting level classification can provide benefits such as improving quality control and reducing the level of subjectivity of a roaster in assessing the roasting level of coffee beans.
Co-Authors Achmad Pratama Rifai Afrido Akhmad Adham Nur Husaen Alva Edy Tontowi Alva Edy Tontowi Amalia, Mya Devita Ayuni Kusumaningsih Mochammad Noer Ilman Muhammad Zhafran Haidar Muttaqin Muktamiroh Raisti Zuhannisa Nur Puji Lestari, Nur Puji Ramadhan Ramadhan Ramadhan Ramadhan Saptomo, Amanat Bintang Tama, Mradipta Nindya Tho, Nguyen Huu Yundari, Yundari