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All Journal Jurnal Media Infotama Jurnal Teknologi Fountain of Informatics Journal Jurnal Penelitian Pendidikan IPA (JPPIPA) Central Publisher Journal of Community Service (Abdisci)
Susanto, Budi
Program Studi Teknik Industri, Universitas Muhammadiyah Cirebon
Religion Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Engineering Materials Science & Nanotechnology Physics Social Sciences Other

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Rekomendasi Daerah Penyalur Tenaga Kesehatan Covid-19 Dengan Menggunakan Skyline Query Vega Purwayoga; Budi Susanto
Fountain of Informatics Journal Vol 7, No 1 (2022): Mei
Publisher : Universitas Darussalam Gontor

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21111/fij.v7i1.5720

Abstract

AbstrakTingginya tenaga kesehatan yang terinfeksi dan meninggal memberikan dampak terhadap ketersedian jumlah tenaga kesehatan pada suatu daerah khusunya rumah sakit. Salah satu solusi untuk mengantisipasi ketersediaan tenaga kesehatan yaitu dengan meminta bantuan tenaga kesehatan pada daerah yang minim resiko. Pencarian daerah minim resiko pada penelitian ini dilakukan dengan menggunakan skyline query. Algoritme skyline query yang digunakan dalam penelitian ini adalah Sort Filter Skyline (SFS). SFS melakukan pengurutan terlebih dahulu sebelum melakukan pengujian dominasi. Pengurutan dilakukan berdasarkan nilai entropy. Daerah yang memiliki entropy terbesar adalah Kota Depok dengan nilai entropy 1.93836. Dikarenakan Kota Depok memiliki entropy terbesar maka Kota Depok adalah objek skyline pertama. Setelah objek skyline pertama didapat maka, objek selanjutnya akan dilakukan pengujian dominasi. Bulan dengan daerah pembantu tenaga kesehatan terbanyak adalah Bulan September sebanyak 17 daerah. Pada bulan Oktober dan November daerah yang direkomendasikan sebagai daerah pembantu tenaga kesehatan sebanyak 12. Jumlah objek skyline bergantung pada atribut yang mendekati preferensi. Semakin banyak daerah dengan kasus positif rendah, kasus meninggal rendah dan kasus meninggal tinggi maka semakin banyak daerah priroitas yang menjadi pembantu tenaga kesehatan. Penelitian selanjutnya diharapkan dapat mengidentifikasi daerah yang ada di Indonesia untuk proses pemerataan tenaga kesehatan pada seluruh daerah di Indonesia.Kata kunci: COVID-19, Distribusi Tenaga Kesehatan, Skyline Query, Sort Filter SkylineAbstract[The Recomendation of COVID-19 Health Worker Distribution Areas using Skyline Query] The high number of infected and dead health workers has an impact on the availability of the number of health workers in an area, especially hospitals. One solution to anticipate the availability of health workers is to ask for help from health workers in areas with minimal risk. The search for minimal risk areas in this study was carried out using a skyline query. The skyline query algorithm used in this research is Sort Filter Skyline (SFS). SFS performs sorting first before doing dominance testing. Sorting is done by entropy value. The area that has the largest entropy is Depok City with an entropy value of 1,93836. Because Depok City has the largest entropy, Depok City is the first skyline object. After the first skyline object is obtained, the next object will be tested for dominance. The month with the largest number of regions supporting health workers was September with 17 regions. In October and November the recommended area as a health worker assistant area is 12. The number of skyline objects depends on the attributes that are close to preference. The more areas with low positive cases, low death cases and high death cases, the more priority areas become assistants to health workers. Further research is expected to identify regions in Indonesia for the process of distributing health workers in all regions in Indonesia.Keywords: COVID-19, Distribution Health Worker, Skyline Query, Sort Filter Skyline
PENGELOMPOKKAN DAERAH BERDASARKAN KETERSEDIAAN MASJID MUHAMMADIYAH DENGAN ALGORITME K-MEANS Vega Purwayoga; Budi Susanto
Jurnal Teknologi Vol 13, No 1 (2021): Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Muhammadiyah Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24853/jurtek.13.1.75-80

Abstract

The importance of the mosque's role in daily life as it is known is for worship facilities. However, the availability of mosques in an area is not yet fully distributed, even there are still areas that do not yet have a mosque. The financial surplus in the Muhammadiyah organization has not been put to good use. One solution is to map and group an area based on the number of mosques in the area. The grouping of regions in this study uses the K-Means algorithm. Characteristics for the process of grouping regions are the name of the district, the name of the sub-district and the number of mosques in a sub-district or branch. The study area in this research is West Java Province. Determination of K or number of clusters in this study is 3. The number of clusters is determined based on 3 categories, namely small, medium and large. There are 4 regions that are categorized with a large number of mosques, 21 regions with moderate numbers and 78 for regions that are classified as few. Evaluation of the results of the grouping showed good results with an SSE value of 90.05%.
Optimization of Lot Sizing Technique in Determining the Best Supplier of Local and Imported Beef Supply with Simple Additive Weighting (SAW) Method Budi Susanto; Nuri Kartini; Pahla Widhiani; Harry Gunawan
Jurnal Penelitian Pendidikan IPA Vol 11 No 2 (2025): February
Publisher : Postgraduate, University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29303/jppipa.v11i2.10577

Abstract

It is important for companies engaged in the food processing industry to determine the right amount and time of ordering so that raw materials are available optimally. The purpose of this research is to measure lot sizing optimization in determining the best supplier of local and imported beef supplies using Simple Additive Weighting (SAW). The data used is local and imported beef raw material data at PT Uutbeef Indonesia Storage (Warehouse Storage) Cirebon Regency Jawabarat. The results of the study for Johndee and Amroon meat type products using the Lot For Lot (LOL) lot sizing technique obtained the lowest cost with the total cost generated was IDR 35,832,654,000 compared to using lot sizing Economic Order Quantity (EOQ), or Period Order Quantity (POQ). The results of the weighting of supplier criteria, the preference value of the maroon supplier obtained the best results for PT Sarana Inti with a value of 0.92 and for the preference of the johndee supplier obtained the best results, namely PT Sinar with the final result of 0.93. Therefore, Lot Sizing optimization can be used by companies to overcome problems regarding the quantity, time and cost of inventory, so as to reduce the excess raw materials that occur, ensure smooth production and increase the productivity and profitability of the company
MSMEs Answer the Challenges of Digitalization Nuri Kartini; Muhammad Nana Trisolvena; Budi Susanto; Harry Gunawan
Jurnal Abdisci Vol 1 No 3 (2024): Vol 1 No 3 Tahun 2024
Publisher : Ann Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/abdisci.v1i3.158

Abstract

 The Cirebon City Cooperative Office organized this community service activity on MSMEs Responding to the Challenges of Digitalization in collaboration with Radio Republik Indonesia Cirebon City. The participants who attended were MSME actors in Cirebon City. The material presented in this counseling is the development of Industry 1.0 to 4.0 technology and the disruption of information technology, which requires MSME players to be digitally literate so that their businesses can develop under the demands of the times. The challenges and benefits of digital technology are delivered. The steps that need to be taken are determining the target market, preparing superior products, preparing payment models, preparing delivery models, and starting sales with digital marketing. The results of the activities organized by the Cirebon City Cooperative Office and RRI Cirebon City received support and positive responses from the participants when they saw the presence of MSMEs and so many questions asked by the participants. The existence of this collaboration is expected in the future. The digitization process of MSMEs in Cirebon City can run smoothly, and it can increase the welfare and income of MSMEs.
Socialization Material for Sheep Breed Health Management Rifky Ramdhani; Budi Susanto; Bayu arisandi; Supriyono
Jurnal Abdisci Vol 1 No 5 (2024): Vol 1 No 5 Tahun 2024
Publisher : Ann Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62885/abdisci.v1i5.209

Abstract

Raising sheep is a livelihood known since the time of the Prophet Adam. Sheep raising was a childhood and adolescent profession of prophets before being appointed prophets and Rosul. Sheep farming developed from grazing until it was domesticated. Sheep farming activities include the selection of suitable breeds, the construction of clean pens, nutritious feeding following the nutritional needs of the sheep raised, and health management to keep sheep healthy. Sheep health management has been socialized at CV Saudagar Group, Cianjur Regency, West Java Province. The socialization conveyed that sheep health management includes maintaining health through preventive and curative actions. Preventive measures include feeding according to needs, giving vitamins, building clean cages, and environmental management. Curative action in the form of treatment if the sheep is already sick with chemical and herbal medicines.
ANALISIS POSTUR KERJA PEKERJA ANGKUT DENGAN PENDEKATAN REBA DI GUDANG CV. JAGARAGA KUNINGAN Lia Amelia; Tribudi Prasetyo; Budi Susanto
Journal Central Publisher Vol 3 No 7 (2025): Jurnal Central
Publisher : Central Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60145/jcp.v3i7.697

Abstract

Latar Belakang : Gangguan Musculoskeletal Disorders (MSDs) merupakan masalah kesehatan kerja yang umum terjadi pada pekerjaan manual akibat postur tubuh yang tidak ergonomis. Penelitian ini dilakukan di gudang CV. Jagaraga Kuningan yang bergerak di bidang produksi dan distribusi air minum dalam kemasan, dengan fokus pada aktivitas pemindahan galon secara manual yang berpotensi menimbulkan keluhan muskuloskeletal akibat posisi kerja membungkuk dan jongkok. Tujuan : Tujuan penelitian ini adalah menganalisis tingkat risiko postur kerja pekerja angkut menggunakan metode Rapid Entire Body Assessment (REBA) serta memberikan rekomendasi perbaikan berbasis ergonomi. sedangkan analisis REBA digunakan untuk mengukur tingkat risiko postur kerja. Metode : Penelitian ini menggunakan pendekatan mix methods untuk menganalisis risiko ergonomi pekerja warehouse di CV. Jagaraga. Penilaian postur kerja dilakukan dengan metode Rapid Entire Body Assessment (REBA) pada aktivitas pemindahan air minum dalam kemasan terhadap 33 pekerja. Hasil analisis digunakan sebagai dasar rekomendasi perbaikan ergonomi dan keselamatan kerja. Hasil dan Pembahasan : Hasil menunjukkan bahwa keluhan tertinggi dialami pada bagian pinggang (skor 74) dan punggung (skor 71), diikuti lengan atas kanan dan kiri. Skor REBA menunjukkan tingkat risiko tinggi yang memerlukan tindakan perbaikan segera, meliputi modifikasi tata letak area kerja, penggunaan alat bantu angkat, serta pelatihan postur kerja yang benar. Jagaraga berada pada kategori risiko tinggi terhadap MSDs. Kesimpulan : Penerapan rekomendasi perbaikan diharapkan dapat menurunkan beban kerja fisik, meminimalkan risiko cedera, dan meningkatkan kenyamanan serta produktivitas kerja serta dapat menjadi acuan bagi industri sejenis dalam mengimplementasikan prinsip ergonomi secara berkelanjutan.
Analisis Penjadwalan Perawatan untuk Penentuan Rute Mobil Pancar di Dinas Pemadam Kebakaran dan Penyelamatan Kabupaten Cirebon dengan Saving Matrix Tri Budi Prasetyo; Budi Susanto; Saepul Anwar
Jurnal Media Infotama Vol 21 No 1 (2025): April 2025
Publisher : UNIVED Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37676/jmi.v21i1.6738

Abstract

Penelitian ini menganalisis penjadwalan dan penentuan rute mobil pancar di Dinas Pemadam Kebakaran dan Penyelamatan Kabupaten Cirebon menggunakan metode Saving Matrix. Hasil penelitian menyimpulkan bahwa rute pemeliharaan sebelumnya untuk mobil pancar memerlukan waktu 10 hari dengan total waktu 4200 menit (70 jam), rata-rata 7 jam per hari atau satu pos sektor jaga per hari. Setelah menerapkan pendekatan perhitungan Saving Matrix, pemeliharaan untuk 1 hingga 4 mobil pancar dapat diselesaikan dalam satu hari. Dengan demikian, pemeliharaan 16 mobil pancar dapat diselesaikan dalam waktu 4 hari, dengan total waktu 1351 menit (22 jam dan 51 menit) dari 5 hari kerja yang tersedia (2100 menit atau 35 jam, dengan 7 jam per hari). Simulasi menggunakan Software Logware menghasilkan total waktu 5 hari dan 1514 menit (25 jam dan 23 menit). Dibandingkan hasil rute perhitungan Saving Matrix dengan Simulasi Router Software Logware, rute dengan perhitungan Saving Matrix terbukti paling efektif. Nilai produktivitas tenaga kerja eksisting adalah 787,5. Menggunakan perhitungan Saving Matrix, nilai produktivitas tenaga kerja adalah 262,5, dan dengan Simulasi Router Software Logware, nilai produktivitas adalah 393,8. Nilai efektivitas tenaga kerja eksisting adalah 50%. Nilai efektivitas menggunakan perhitungan Saving Matrix meningkat menjadi 155%, sementara Simulasi Router Software Logware menunjukkan nilai efektivitas sebesar 138,7%. Berdasarkan nilai produktivitas dan efektivitas, metode Saving Matrix adalah yang paling produktif dan efektif untuk manajemen tenaga kerja.
Co-Authors Arisandi, Bayu Harry Gunawan Kartini, Nuri Lia Amelia Muhammad Nana Trisolvena Nuri Kartini Purwayoga, Vega Rifky Ramdhani Saepul Anwar Supriyono Tribudi Prasetyo Widhiani, Pahla