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All Journal Unisda Journal of Mathematics and Computer Science (UJMC) EIGEN MATHEMATICS JOURNAL Jurnal Industri dan Teknologi Samawa (JITSA) Hexagon
Eki Ruskartina
Universitas Teknologi Sumbawa
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Education Industrial & Manufacturing Engineering Mathematics

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Usulan Rute Optimal Distribusi Sampah Shift I Kota Sumbawa Besar Menggunakan Metode GVRP Koko Hermanto; Eki Ruskartina
Eigen Mathematics Journal In Press Desember 2018
Publisher : University of Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (664.572 KB) | DOI: 10.29303/emj.v2i2.17

Abstract

Generalized vehicle routing problem (GVRP), for each vertex of the graph is partitioned into vertex sets and called groups, it will be determined the optimal route given to each set group includes exactly one vertex of each group. Furthermore, the cluster generalized vehicle routing problem (CGVRP) was introduced which aims to determine the optimal route for each vertex for each cluster. The optimal route can be solved using the Djikstra Algorithm. The distribution of waste in the city of Sumbawa Besar is still considered to be less than optimal, so this system can be implemented by making direct connections between each polling station. This system produces the shortest route, travel details, distance between polling stations and travel costs.
OPTIMASI RUTE TRUK PENGANGKUTAN SAMPAH DI KOTA SUMBAWA BESAR SHIFT II MENGGUNAKAN GVRP Koko Hermanto; Eki Ruskartina
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 4 No 2 (2018): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1037.93 KB) | DOI: 10.52166/ujmc.v4i2.1156

Abstract

The problem of garbage in the city of Sumbawa Besar is a common problem that often occurs, as well as large cities in Indonesia. To avoid the negative impact of the existence of waste, the waste problem needs to be handled properly by improving quality and waste management, for example in terms of distribution. Set warehouse, TPS and TPA as vertices, and the connecting paths of these vertices are edgy. Arrange the shortest route for each fleet in the second shift using the generalized vehicle routing problem (GVRP) method. Then, using the clustered generalized vehicle routing problem (CGVRP) method and resolved with the Dijkstra algorithm. Obtained the total route on the second shift 85,569 meters, so that spent fuel RP 69,524, - more optimal than the route that has been used that is along 96,302 meters obtained RP. 78,245, -.
Analisis Potensi Bahaya Pada Pekerjaan Drainase Pada Proyek Pengendalian Banjir Di PT. Brantas Abipraya (Persero) Menggunakan Metode Hazard Identification and Risk Assessment (HIRA) Ikhsan Wasir Riski; Iksan Adiasa; Nurul Hudaningsih; Eki Ruskartina
JURNAL INDUSTRI DAN TEKNOLOGI SAMAWA Vol 3 No 2 (2022): JITSA
Publisher : Program Studi Teknik Industri, Fakultas Rekayasa Sistem

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (670.223 KB) | DOI: 10.36761/jitsa.v3i2.1966

Abstract

Brantas Abipraya (Persero) merupakan perusahaan yang mengerjakan Proyek Pengendalian Banjir dalam pengerjaan drainase yang terletak di kawasan Mandalika, Lombok Barat. Berdasarkan observasi di lapangan, ditemukan pada proses pemasangan L-Gutter berpotensi menyebabkan kecelakaan kerja yang diakibatkan pekerja tidak menggunakan APD. Tujuan dilakukannya penelitian ini yaitu untuk meminimalisir risiko terjadinya kecelakaan kerja pada Proyek Pengendalian Banjir di PT. Brantas Abipraya (Persero). Metode yang digunakan adalah Hazard Identification and Risk Assesment (HIRA). Berdasarkan hasil identifikasi dan penilaian potensi bahaya yang telah dilakukan, terdapat enam potensi bahaya pada Proyek Pengendalian Banjir. Usulan perbaikan berdasarkan hirarki pengendalian K3 berupa pengendalian teknik, pengendalian administrasi, dan APD, yaitu memperbaiki jalan yang rusak, melakukan rekayasa jalan, membuat penahan tanah/gorong-gorong penahan tanah dan melakukan pengurasan air dan pembersihan lumpur yang menggenangi jalan, memasang rambu-rambu proyek yang bertuliskan jalan berlubang dan berlumpur, menandakan ekskavator sedang melakukan pemasangan L-Gutter, menandakan area longsor, dan menandakan area licin dan tergenang air. Selanjutnya, agar selalu menggunakan APD berupa helm safety, sarung tangan safety, kacamata safety, pelindung telinga, sepatu safety dan masker serta agar segera dilakukan teguran jika tidak menggunakannya. Penelitian ini diharapkan dapat meminimalisir risiko kecelakaan kerja di Proyek Pengendalian Banjir PT. Brantas Abipraya (Persero) sehingga pekerja terhindar dari risiko kecelakaan kerja.
PERAMALAN JUMLAH PENJUALAN SEPEDA MOTOR MENGGUNAKAN METODE TIME SERIES STUDI KASUS: DEALER MOTOR NUSANTARA SURYA SAKTI (NSS) SUMBAWA Silvia Firda Utami; Sis Yanti Arisma; Koko Hermanto; Eki Ruskartina
Hexagon Jurnal Teknik dan Sains Vol 1 No 2 (2020): HEXAGON - Edisi 2
Publisher : Fakultas Teknologi Lingkungan dan Mineral - Universitas Teknologi Sumbawa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (518.659 KB) | DOI: 10.36761/hexagon.v1i2.615

Abstract

Nusantara Sakti Sumbawa (NSS) is a Honda agent company which sells motorcycles. The company encounters difficulty in determining the monthly sales target of their products. Therefore, the study aims to investigate the appropriate methodology to estimate the sales target for the next five months in NSS by involving 13 different brands of Honda. To achieve the goal, the researcher conducted several stages in forecasting methodology, including collecting the previous sales data of the company, plotting the collected data, and identifying the proper methods of forecasting to analyse the data. Based on the plotting data process, the researcher found that the Time Series methodology, consisting of Single Moving Average and Single Exponential Smoothing was the most suitable method to analyse the data. The results of the study showed that the prediction for the future sales target of the 13 different brands of Honda in the next five months in NSS was 182 units in total (Beat Sporty CW: 35 units, Beat street: 19 units, Vario 110: 14 units, Vario 125: 17 units, Vario 150: 15 units, Scoopy: 38 units, Revo: 1 unit, Blade: 1 unit, Supra X 125: 12 units, Supra GTR 150: 9 units, Sonic: 16 units, and CBR150R: 5 units). The study also revealed that the Single moving average was a proper method to predict the future sales target for the three brands of Honda, namely Vario 110, Revo, and Blade. While the other 10 brands, including Beat Sporty CW, Beat street, Vario 125, Vario 150, Scoopy, Supra X 125, GTR 150, Sonic, and CBR150R were appropriately predicted using the Single Exponential Smoothing method.
Co-Authors Firda Utami, Silvia Hermanto, Koko Hudaningsih, Nurul Ikhsan Wasir Riski Iksan Adiasa Sis Yanti Arisma