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Journal : Unisda Journal of Mathematics and Computer Science (UJMC)

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, -.
Metode Regresi yang Tepat Untuk Meramalkan Permintaan Minyak Solar di Kabupaten Sumbawa Koko Hermanto; Fidya Rizqika
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 5 No 01 (2019): Unisda Journal of Mathematics and Computer Science (UJMC)
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (548.792 KB) | DOI: 10.52166/ujmc.v5i01.1437

Abstract

Abstract. This study aims to find the proper regression method to predict the amount of demand for fuel oil in the form of diesel fuel in Sumbawa Regency. The data needed for this research are data on the amount of monthly diesel oil demand in 2018. The data were analyzed by various regression methods to predict the number of requests as the dependent variable ( ) influenced by the month of demand as a independent variable ( ). The four methods chosen for analysis are linear, quadratic, cubic, exponential and logarithmic regression. The selection of the proper regression method predicts the case in this study based on the coefficient of determination ( ) and the data processing using SPSS. The results of the study show that the right method for forecasting diesel oil demand in 2019 is to use cubic regression methods. Keywords: Forecasting, Regression Method, Determinant Coefficient, Solar Oil. Abstrak. Penelitian ini bertujuan untuk menentukan metode regresi yang tepat untuk meramalkan jumlah permintaan bahan bakar minyak (BBM) berupa solar di Kabupaten Sumbawa. Data yang diperlukan untuk penelitian ini adalah data jumlah permintaan minyak solar perbulan pada tahun 2018. Data tersebut dianalisis dengan berbagai metode regresi untuk meramalkan jumlah permintaan sebagai variabel terikat ( ) dipengaruhi oleh bulan permintaan sebagai varibel bebas ( ). Empat metode yang dipilih untuk dianalisis adalah regresi linier, kuadratik, kubik, eksponensial dan logaritmik. Pemilihan metode regresi yang tepat meramalkan kasus pada penelitian ini berdasarkan nilai koefisien determinasi ( ) dan pengolahan datanya menggunakan SPSS. Hasil penelitian menunjukkan bahwa metode yang tepat untuk meramalkan permintaan minyak solar pada tahun 2019 adalah dengan menggunakan metode regresi kubik. Keywords: Peramalan, Metode Regresi, Koefisien determinan,Minyak Solar.
Peramalan Kebutuhan Air Untuk Penyiapan Lahan Menggunakan Metode Siklis (Studi Kasus Daerah Irigasi Bendungan Batu Bulan Kec.Moyo Hulu) Koko Hermanto; Silvia Firda Utami
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 5 No 01 (2019): Unisda Journal of Mathematics and Computer Science (UJMC)
Publisher : Mathematics Department of Mathematics and Natural Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (658.219 KB) | DOI: 10.52166/ujmc.v5i01.1480

Abstract

Abstract. The area of agriculture in the Moyo Hulu sub-district of Sumbawa Regency is 6000 hectares with irrigation water sources from Batu Bulan Dam, which is the largest dam in Sumbawa Regency with an area of 932 hectares. Considering that Sumbawa Regency is one of the regions with a high level of drought, information on irrigation water requirements for land preparation needs to be known because it can optimize the allocation of the use of dam water discharge. And one of the important stages needed in the planning and management of irrigation systems. Based on this, the aim of this study is to forecast water requirements for land preparation in the irrigation area of Batu Bulan Dam by using cyclical methods because the data patterns are cyclical or seasonal. The factors that influence water requirements for preparing agricultural land are topography, hydrology, climatology and soil texture. From these factors, the data is then analysed so that the volume of water preparation needs to be obtained every month so that the results of the analysis can be predicted for the next period. Keyword: Forecasting, Cyclic methods, water requirements for land preparation, irrigation, agriculture. Abstrak. Luas area pertanian di kecamatan Moyo Hulu Kabupaten Sumbawa sebesar 6000 hektar dengan sumber air irigasi dari Bendungan Batu Bulan yang merupakan bendungan terbesar di Kabupaten Sumbawa dengan luas 932 hektar. Mengingat Kabupaten Sumbawa salah satu wilayah dengan tingkat kekeringan yang cukup tinggi maka Informasi kebutuhan air irigasi untuk penyiapan lahan perlu diketahui karena dapat mengoptimalkan pengalokasian pengunaan debit air bendungan. Serta salah satu tahap penting yang diperlukan dalam perencanaan dan pengelolaan sistem irigasi. Berdasarkan hal tersebut tujuan dari penelitian ini adalah meramalkan kebutuhan air untuk penyiapan lahan di daerah irigasi Bendungan Batu Bulan dengan menngunakan metode siklis karena pola datanya bersifat siklis atau musiman. Adapun faktor-faktor yang mempengaruhi kebutuhan air untuk penyiapan lahan pertanian adalah topografi, hidrologi, klimatologi dan tekstur tanah. Dari data-data faktor tersebut selanjutnya dianalisa sehingga diperoleh volume kebutuhan air penyiapan lahan setiap bulannya sehingga dari hasil analisa tersebut dapat diramalkan untuk periode berikutnya. Keyword: Peramalan, metode Siklis,Kebutuhan air penyiapan lahan, irigasi, pertanian.
Analisa Optimasi Rute Transportasi Antar Jemput Siswa Menggunakan Model CGVRP dan Algoritma Dijkstra di SDIT Darus Sunnah Koko Hermanto; Tita Dwi Ermayanti
Unisda Journal of Mathematics and Computer Science (UJMC) Vol 5 No 2 (2019): 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 (413.369 KB) | DOI: 10.52166/ujmc.v5i2.1653

Abstract

School transportation is one of the facilities provided by the school in the process of picking up students. In the process of picking up, taking the optimal route is needed to save costs and time. The purpose of this study is to develop a model School transportation routes using the Clustered Generalized Vehicle Routing Problem (CGVRP ) model and the Dijkstra algorithm to get a more optimal route from the route that has been used. Furthermore, comparing the real distance from the shuttle transportation routes with the distance from the results of this case study using the CGVRP model and the Dijkstra algorithm. From the research results obtained by using the CGVRP model and the Djikstra algorithm which is applied to the case study of shuttle students at Darus Sunnah SDIT We found that our result has shorter distance when compared to the distance of the usual route.. The total distance on the SDIT Darus Sunnah route is 2.746.416 meters and costs Rp. 2.214.288 in a month. While the distance from the proposed route obtained 2.333.616 meters for at Rp. 1.881.478 in a month. Therefore the difference in the distance from the real route and the proposed route is 357.288 meters with a difference in cost of Rp. 332.820, - in a month.
Evaluasi Sistem Antrian Pada Loket Pendaftaran Puskesmas Unter Iwes Kecamatan Sumbawa Hermanto, Koko; Sakina, Cici Putri; Utami, Silvia Firda; Harizahayu, Harizahayu
UJMC (Unisda Journal of Mathematics and Computer Science) Vol 10 No 2 (2024): Unisda Journal of Mathematics and Computer Science
Publisher : Mathematics Department, Faculty of Mathematics and Sciences Unisda Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52166/ujmc.v10i2.6866

Abstract

The best service includes providing fast service so that customers can arrive quickly. The service here can be in the form of improving the queuing system. Queues can occur if the need for a service exceeds the available demand. One service sector with a queuing system is the Community Health Center. The Community Health Center is a functional implementing unit that is a health development center for fostering community participation in the health sector. So, research was carried out to evaluate the queuing system at the Unter Iwes Health Center registration counter in Sumbawa District to optimize queuing services. The study results show that the queuing system currently used at the registration counter at the Unter Iwes Health Center, Sumbawa sub-district, namely Single Channel-Single Phase, is still optimal, as indicated by a steady state value of less than one. On Monday, it was found that the average queue in the system (????s) was one person, the average queue in the queue (????q) was one person, while the probability that the number of patients in the queue would not occur (????o) was 0%. The average waiting time in the system (????s) is 0.24 minutes, while the average waiting time in the queue (????q) is 0.15 minutes, the server busy level (K) is 64%, and the server unemployment level (W) is 36%.
Co-Authors Adi Suriyadin Ahmad Yamin Aldrin Ali Topan, Paris Altarisi, Salman Bahtiar, Syamsul Bayu Dinanda Putra Benar Darmayadi, Surya Dea Ananda Dery Sofya, Noura Dinda Permata Dwi Ermayanti, Tita Dzil Ikram, Fadhli Ekastini Ekastini Ekastini Ekastini Eki Ruskartina Eko Wijaya Eko Wijaya Erwin Mardinata Fajar Aryo Nugroho Fatin Farah Atira Fauzi Widyawati Fazriansyah Fidya Rizqika Firda Utami, Silvia Friendly Harizahayu Harizahayu Harizahayu, Harizahayu Heriwibowo, Dedy Herpan Syafil Harahap Hudaningsih, Nurul Hudaya, Chairul I Gusti Putu Muliarta Aryana I Putu Winada Gautama I Wayan Joniarta Iksan Adiasa Imam Munandar Imam Munandar Ismi Mashabai Julkarnain, M. Juniardi Akhir Putra Karyaningtiyas, Dimastuti Putri Mamika Ujianita Romdhini Marwan Marwan Mashabai, Ismi Mietra Anggara Mietra Anggara Muhammad Amirul Muhammad Sayyid Rafi Muhammad Zikri Kautsar Mukhtar Hadi Nora Dery Sofya Nora Dery Sofya Nur Fitria Ningsih Nurfadila Nurfadila Nuryadi, Halid P, Gipari Royen Puji Muniarty Purwo Seputro , Bintarto Putraedi, Andri Ramdani, Marisa Desita Ratna Yuniarti Ratna Yuniarti Renaldi Yansyah Reza Fitriani Ridho Rabani Robbani, Farisan Ruskartina, Eki Ryan Suarantalla Sahdan, Sahdan Sakina, Cici Putri Salman Altarisi Salman Altarisi Sandy, Agusta Hari Sarkasih, Muhammad Reza Shinta Esabella Silvia Firda Utami Silvia Firda Utami Sis Yanti Arisma Sofya, Nora Dery Suarantalla, Ryan Sumarningsih, Eka Yuni SURYANI Taryono, Taryono Tita Dwi Ermayanti Tiya Indryani Turrahmi, Ulfa Ulfaturrahmi W, Yunari. Wari Ammar Abdul Jabbar Wilia Ismiyarti Yandri Sudodo Yansyah, Renaldi Yanti, Sahri Yuliadi Yuliadi Yuliadi Yuliadi