57 research outputs found
Modelling motorcycle accident on the road section by using general linear model: Case studies in Batu City
No full textOptimasi Persediaan dan Distribusi Gas LPG 3 Kg Menggunakan Metode Economic Order Quantity (EOQ) dan Goal Programming (Studi Kasus: Toko Bintang Terang)
No full textLiquefied Petroleum Gas (LPG) merupakan sumber energi yang vital bagi ribuan rumah tangga. Pada tahun 2023, gas LPG 3 kg mengalami kelangkaan di beberapa kota besar. Hal ini mengakibatkan warga harus pergi keluar dari daerah asalnya untuk mencari gas LPG 3 kg. Kelangkaan gas LPG dapat diminimalisir dengan mengendalikan persediaan. Perhitungan pengendalian persediaan gas LPG dapat menggunakan metode Economic Order Quantity (EOQ) dan goal programming. Metode EOQ digunakan untuk menghitung jumlah persediaan optimal yang harus dilakukan dan biaya total persediaan dalam satu waktu. Model goal programming bertujuan untuk menghitung distribusi gas optimal dari pangkalan ke masing-masing toko yang tersebar di Kecamatan Lowokwaru, Malang, sehingga setiap toko dapat terpenuhi pasokan gas LPG nya. Berdasarkan metode EOQ, diperoleh hasil optimal jumlah persediaan sebanyak 115 tabung gas LPG dan biaya total persediaan sebesar Rp115.326 dalam satu kali pemesanan, dengan frekuensi 2 kali dalam satu minggu. Berdasarkan model goal programming, diperoleh distribusi gas optimal sebanyak 27 unit untuk Toko Badir, 30 unit untuk Toko Moses, 28 unit untuk Toko Anugerah 1, 32 unit untuk Toko Anugerah 2, 33 unit untuk Toko Budi, 30 unit untuk Toko Cahaya, dan 20 unit sebagai stok gas LPG di pangkalan gas
EOQ MODEL FOR DETERIORATING AND AMELIORATING ITEMS UNDER CUBIC DEMAND AND PARTIAL BACKLOGGING
Full text linkThe inventory model aims to determine policies in inventory control. Therefore, the availability needs to be managed as well as possible to obtain optimal performance. This study aimed to produce EOQ models for deteriorating and ameliorating products with shortage and partial backlogging policies. The traditional Economic Order Quantity (EOQ) inventory model was used to develop the model. The search algorithm of the model solution was made to get a solution from the model. In the end, a case study of the model implementation at Minimarket SATUMART, Sidoarjo, is give
Optimization of Pertamax Fuel Distribution Using Clarke-Wright Savings, Nearest Neighbour, and Goal Programming (Case Study: Malang City)
No full textFuel distribution optimization is crucial to meet growing demand and reduce operational costs, especially in cities like Malang, where vehicle numbers are increasing. This research addresses the distribution challenges of PT Pertamina, focusing on designing efficient routes to minimize distance, cost, and delivery time while meeting fuel demands effectively. The problem, classified as a Capacitated Vehicle Routing Problem (CVRP), is solved using the Clarke-Wright Savings (CWS), Nearest Neighbour (NN), and Goal Programming (GP). The CWS is applied to group routes efficiently by reducing travel distances, while NN determined the delivery sequence within each route. GP addressed multi-objective optimization, minimizing costs and delivery time, maximizing Pertashop demands, and optimizing vehicle use. The results show that the combination of CWS and NN algorithms reduced the total travel distance by 140 km, or 12.5% reduction. Additionally, the GP method optimized vehicle use to 13, achieving a 59.68% cost reduction and a 48.68% time savings. These findings highlight the effectiveness of combining these algorithms in fuel distribution optimization, providing a more efficient solution compared to existing routes. Moreover, this approach is adaptable to similar logistics problems, offering a foundation for further research in multi-objective optimization for distribution systems
Pengendalian Persediaan Obat Menggunakan Analisis ABC-VEN dan EOQ dengan Reorder Point dan Safety Stock. (Studi kasus: Apotek Kutai Kartanegara).
No full textPengendalian persediaan obat merupakan hal yang penting dalam bidang farmasi karena berpengaruh pada total biaya persediaan yang dikeluarkan. Salah satunya seperti pada kasus di Apotek Kutai Kartanegara. Banyaknya obat yang dijual membuat apotek harus pintar memilih obat yang harus diutamakan manajemen persediaannya. Analisis ABC dapat digunakan dalam pengklasifikasian obat berdasarkan nilai investasi, sedangkan analisis VEN dapat digunakan dalam pengklasifikasian obat berdasarkan tingkat kekritisan pemberian obat kepada pasien. Dengan menggunakan analisis ABC-VEN, diperoleh hasil klasifikasi menjadi tiga kategori, yaitu kategori I terdapat sebanyak 40 obat, kategori II sebanyak 111 obat, dan kategori III sebanyak 41 obat. Kategori I dipilih menjadi obat yang memiliki investasi besar atau tingkat kekritisan vital dan dilakukan pengendalian persediaan menggunakan metode EOQ untuk menentukan jumlah pemesanan yang optimal, kemudian menggunakan reorder point dan safety stock untuk menentukan batas minimal persediaan sehingga dilakukan pemesanan kembali. Melalui hasil perhitungan menggunakan metode EOQ, total biaya persediaan minimum adalah sebesar Rp1.241.224,25. Berdasarkan hasil wawancara diperoleh informasi bahwa jumlah total biaya persediaan untuk setahun sebesar Rp1.868.086,98. Oleh karena itu, terdapat perbedaan sebesar Rp626.862,73 atau 34%, sehingga total biaya persediaan setelah diterapkan EOQ lebih kecil dibandingkan sebelum diterapkan metode EOQ. Batas jumlah persediaan sehingga dilakukan pemesanan kembali untuk obat kategori I bervariasi dari 2,218 hingga 129,836 strip
Synergizing IFTOPSIS and DEA for Enhanced Efficiency Analysis in Inpatient Units
Full text linkThe pursuit of efficiency in the business sector is a multifaceted endeavor, extending beyond mere cost reduction to encompass a strategic optimization of operational performance. The enhancement of efficiency is not solely for the benefit of investors or proprietors but is also a concerted effort to maximize resource utilization and minimize waste. This study introduces an integrative approach combining IFTOPSIS and DEA methodologies to deliver a robust efficiency evaluation framework.The fusion of IFTOPSIS's qualitative analysis with DEA's quantitative assessments addresses the complexity of operational performance, providing a balanced evaluation that transcends subjective bias with data-driven insights. IFTOPSIS articulates decision-makers' preferences in uncertain scenarios, assigning weights to criteria, while DEA discriminates between efficient and inefficient operational units. This confluence of methods is applied to the assessment of inpatient healthcare units—a sector that has traditionally relied on patient-centric evaluations, neglecting the comprehensive review of resource deployment. The results of this amalgamated approach reveal dimensions of operational efficiency previously unexplored, offering stakeholders a data-enriched foundation for strategic decision-making. The study's findings have significant implications for the healthcare industry, providing a template for resource evaluation that could inform policy and drive improvements in patient care services
Penerapan Model Antrian Multi Channel- Single Phase untuk Mengetahui Karakteristik Antrian pada Layanan Teller Bank (Studi Kasus di Bank Jatim Kantor Cabang Malang)
No full textPerkembangan dalam sektor perbankan mendorong persaingan
dalam hal memberikan meningkatkan kualitas pelayanan yang
diberikan terhadap nasabah. Pelayanan yang baik dan cepat menjadi
pertimbangan nasabah dalam memilih jasa perbankan yang digunakan.
Antrian pada nasabah bepengaruh terhadap kualitas pelayanan yang
diberikan. Teori antrian digunakan untuk menentukan karakteristik
sehingga, kinerja pelayanan yang efisien dapat tercapai dan
memberikan kepuasan terhadap nasabah yang dilayani. Penelitian ini
membahas mengenai karakteristik antrian pada Bank Jatim Kantor
Cabang Malang. Data yang digunakan merupakan data kedatangan
nasabah selama 3 minggu setiap hari Senin – Kamis pada tanggal 31
Oktober 2023-16 November 2023
Estimating matrix travel light vehicle observations by volume sleeve approach inference bayes
Full text linkThe process can change the assignment of a knowledge matrix of travel [Ti j] into the estimated flow of arms, the two main points of the assignment process is the proportion of travel between zones i and j zone on an arm and balance assignment. The problem is the number of arms in the measurement of traffic volume is less than the sum of n - origin destination pairs (dual problem), thus resulting in the problem has a solution that is much that is difficult to solve. For that to look for a single solution to solve these problems. In terms of the calculation method of Inference Bayes approach is very interesting, because the assumptions the calculation of the proportion of the matrix accurate travel and arrival rate multivariate normal distribution vehicles. From the data processing, wherein the matrix of the posterior and matrices trip on field observations seen the total number of matrices trip posterior 299.66 and the total amount of the average matric trip observations 320.5 on light vehicles (KR) , where in the matrix trips posterior smaller than the matrix of travel observations. This figure shows that the increase in the number of light vehicles around 7 in one year
- …
