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Pengendalian Persediaan Obat Kelompok V Berbasis Abc Indeks Kritis Menggunakan Periodic Review System Erlangga Fausa; Ali Parkhan; Imam Djati Widodo
Teknoin Vol. 28 No. 01 (2023)
Publisher : Faculty of Industrial Technology Universitas Islam Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20885/teknoin.vol28.iss1.art5

Abstract

Instalasi Farmasi Rumah Sakit memiliki persediaan obat – obatan dengan berbagai jenis dan fungsinya. Mengingat banyaknya macam obat pada instalasi farmasi, maka perlu ditentukan prioritas obat yang akan dioptimalkan, salah satunya menggunakan metode ABC Indeks Kritis. Berkaitan dengan ketidakpastian pemakaian, perlu dilakukan pengendalian persediaan yang ditujukan untuk menjamin terpenuhinya kebutuhan obat untuk pasien dengan biaya persediaan yang minimal. Metode yang dapat digunakan pada kondisi ketidakpastian adalah metode Periodic Review System. Berdasarkan analisis ABC Indeks Kritis, dari 2039 jenis obat 76 jenis diantaranya termasuk kategori A atau Vital, dengan indeks kritis tertinggi adalah ATS 1500 Injeksi dan Fentanyl 0,05 Mg/Ml 2 Ml Injeksi. Kondisi optimal ATS 1500 Injeksi tercapai jika dilakukan pemesanan setiap 8 hari, dengan persediaan maksimum yang diharapkan = 12,69 ≈ 13 ampul, kebijakan ini akan menghasilkan servise level (η) =96,76%, sedangkan kondisi optimal Fentanyl 0,05 Mg/Ml 2 Ml Injeksi tercapai jika dilakukan pemesanan setiap 10 hari, dengan persediaan maksimum yang diharapkan = 24,37 ≈ 25 ampul, kebijakan ini akan menghasilkan servise level (η) = 89,96%
Raw Material Inventory Control on Probabilistic Demand and Lead Time Using Continuous Review System Ali Parkhan; Imam Djati Widodo; Erlangga Fausa; Qurtubi
Journal of Industrial Engineering and Halal Industries Vol. 4 No. 2 (2023): Vol. 4 No. 2 December (2023): Journal of Industrial Engineering and Halal Indus
Publisher : Industrial Engineering Department, Faculty of Science and Engineering, UIN Sunan Kalijaga Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14421/jiehis.4277

Abstract

Excess inventory will lead to high inventory costs caused, among others, by damage and possible loss of stored goods embedded capital; on the other hand, a list is needed to ensure fulfillment of needs and reduce demand fluctuations and supply fluctuations to avoid loss of profit opportunities. This study aims to manage the uncertainty of usage and lead time in a wooden toy company, which can result in an excess or shortage of raw materials in the inventory system. It is necessary to control inventory to ensure optimal inventory; that is, needs can be met with minimal inventory costs and adequate service levels. The result, optimal condition is achieved if the company orders wood when the amount of inventory is (r) = 24,422 units with an order quantity of (Q) = 10,010 units each time you place an order, with a total inventory cost in 2023 of IDR 362,156,168, this policy will result in a service level (η) = 95.14%.
Profitability on Solar Power Plant Systems for Households Electricity in Indonesia SETIAWAN, HENDRA; PARKHAN, ALI
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 3: Published July 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i3.672

Abstract

ABSTRAKPaper ini menganalisis secara teknis dan ekonomi PLTS (pembangkit listrik tenaga surya) hibrid off-grid untuk rumahtangga di Yogyakarta, Indonesia. Sistem PLTS terdiri dari delapan panel surya polikristalin dengan daya 410Wp masing-masing, inverter 3kW, dan baterai LiFePO4 (lithium ferrophosphate) 48V 300Ah. PLTS telah dioperasikan sejak awal 2021, dan energi yang terkumpul dari panel surya dimulai November 2021 hingga akhir Agustus 2022, menunjukkan variasi nilai dari 3,2kWh hingga 17,4kWh. Dengan mempertimbangkan efisiensi perangkat 85%, hasil total energi diperkirakan 3.740,7 kWh per tahun. Penelitian ini mendapatkan nilai hasil rata-rata tahunan sebesar 1.140,5 kWh/kWp dan rasio kinerja 63,4%. NPV (net present value) digunakan sebagai indikator kelayakan investasi, dengan hasil masa investasi 24 tahun, tingkat diskonto 7%, laju degradasi PV (fotovoltaik) sebesar 0,8%, dan penurunan baterai sebesar 1,5% per tahun. Studi ini menyoroti potensi keuntungan investasi PLTS dengan kondisi tertentu dan mendorong intervensi regulasi pemerintah untuk meningkatkan aplikasi PLTS.Kata kunci: PLTS, off-grid, NPV, panel surya, rasio kinerja ABSTRACTThis paper presents technical and economic analysis of hybrid off-grid SPP (Solar Power Plant) for a home in Yogyakarta City, Indonesia. The system consists of eight polycrystalline photovoltaic with 410Wp each, 3kW inverter and a 48V 300Ah LiFePO4 (lithium ferrophosphate) battery. The harvested energy was recorded starting from November 2021 to the end of August 2022. The recorded data shows the variation of values from 3.2kWh to 17.4kWh. The annual energy is 3,740.7 kWh by considering 85% devices efficiency. Furthermore, an annual average final yield is 1,140.5 kWh/kWp and performance ratio is 63.4%. NPV (net present value) was used as an indicator of feasibility investments by considering device lifespan, 7% discount rate, 0.8% of PV (photovoltaic) degradation rate and 1.5% battery fade per year. This study highlights the potential benefits of investing in hybrid off-grid SPP under specific conditions and advocates for government intervention through regulations to enhance the SPP applications.Keywords: Solar Power Plant, off-grid, NPV, photovoltaic, performance ratio
Stochastic Queuing System Model Design Based on Stakeholder Aspirations Widodo, Imam Djati; Parkhan, Ali; Qurtubi, Qurtubi
Journal of Applied Data Sciences Vol 5, No 4: DECEMBER 2024
Publisher : Bright Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47738/jads.v5i4.314

Abstract

A good queuing system will provide satisfaction and trust for consumers and operational cost efficiency for service providers. This study aims to obtain the optimal number of service facilities by considering the aspirations of stakeholders, namely customers and service providers. Using aspiration theory, this research contributes to obtaining a dynamic solution to the number of service facilities with reference to service operating costs that can be determined with certainty and waiting costs that vary based on customer profiles. The study began by designing sampling for arrival time and service time data based on simple random sampling. The probability distributions of arrival time and service time are determined based on the data collection results of the sampling design. Based on the queuing profile and distribution of the two data, a suitable queuing model is built. Poisson distribution-based multi-channel queue model is constructed ((M/M/c):(GD/∞/∞)), and an optimization analysis is carried out on the number of service facilities provided by considering the aspirations of the two stakeholders. The results showed that based on stakeholder aspirations, optimal conditions were achieved at the number of servers c = 2 if the waiting cost (C2): IDR 0/hour≤ C2 ≤ IDR 11,076/hour, and the number of servers c = 3 if the waiting cost (C2): IDR 11,076/hour ≤ C2 ≤ IDR 120,690/hour.  Given that there are two conditional alternatives, the company can decide subjectively to take preventive and adaptive actions proactively according to the customer's appreciation of the waiting time in the company. Flexibility in opening service facilities will require the availability of workers and facilities to be provided. Multi-skilled workers will significantly help the flexibility of the system being built. Future research certainly needs to conduct a more in-depth study related to monthly fluctuations in arrival and service times within that period.
PENGENDALIAN PERSEDIAAN PADA KONDISI STOKASTIK DAN HARGA BERTINGKAT MENGGUNAKAN SIMULASI Marcelly Widya Wardana; Farham HM Saleh; Ali Parkhan
Spektrum Industri Vol. 12 No. 2: Oktober 2014
Publisher : Universitas Ahmad Dahlan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/si.v12i2.1668

Abstract

investment value of the company in the form of supplies could reach 50 % of the value of all assets . Basically resource inventory is idle resources, which means that if the excess inventory will lead to wasted investment , but if there is no inventory would be difficult to anticipate fluctuations in demand can lead to stockout . So, we need a good inventory management to manage the balance between inventory investment and customer service . This research took a case study in Olla Bakery where there is demand and uncertain lead time , which affects the supply of raw material flour . To control the supply of the raw material , in this study using Monte Carlo simulation due to the properties of probabilistic variables , fluctuating demand , lead time is uncertain , and also considering the quantity discounts in the purchase of raw materials as a consideration in the simulation . The results obtained from this study that the Monte Carlo simulation method can reduce inventory costs by 6.83% , so it can be taken into consideration for the company in the purchase of raw materials. Keywords : Probabilistic, Quantity Discount, Monte Carlo
QUALITY CONTROL OF REGULAR SLOTTED CONTAINERS PRODUCTION PROCESS USING FAILURE MODE AND EFFECT ANALYSIS AND FAULT TREE ANALYSIS Sugarindra, Muchamad; Tyas, Sekar Wijayaning; Parkhan, Ali; Fauza, Erlangga
Jurnal Disprotek Vol 16, No 2 (2025)
Publisher : Universitas Islam Nahdlatul Ulama Jepara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34001/jdpt.v16i2.8343

Abstract

Quality control is an effort to ensure that the products produced meet the specified standards. The regular slotted containers (RSC) produced by PT. XYZ carry a high risk of defects during the production process, which can decrease product quality and company profitability. This study aims to evaluate the conformity of the production process with quality standards and to identify the root causes of defects and their improvement priorities. The methods used are Fault Tree Analysis (FTA) to systematically identify the root causes of defects, and Failure Mode and Effect Analysis (FMEA) to assess risk levels and develop improvement recommendations. The results revealed 38 types of defects, with delamination as the most dominant defect, caused by improper glue gap settings. Contributing factors include a lack of machine automation, fluctuations in raw material humidity, and inadequate glue gap inspections. The FMEA analysis showed that failures due to glue gap issues had the highest Risk Priority Number (RPN), which was 240, making it the top priority for improvement efforts. Recommended corrective actions include the implementation of automatic sensors, operator training, control of raw material humidity, and standardization of production parameters. The combined use of FTA and FMEA has proven to be effective in addressing quality issues in the company.PENGENDALIAN KUALITAS PROSES PRODUKSI REGULAR SLOTTED CONTAINERS MENGGUNAKAN FAILURE MODE AND EFFECT ANALYSIS DAN FAULT TREE ANALYSISPengendalian kualitas merupakan upaya untuk memastikan bahwa produk yang dihasilkan memenuhi spesifikasi yang telah ditetapkan. Produk regular slotted containers (RSC) pada PT. XYZ memiliki risiko cacat yang tinggi selama proses produksi, yang dapat menurunkan kualitas dan profitabilitas perusahaan. Penelitian ini bertujuan untuk mengevaluasi kesesuaian proses produksi dengan standar mutu yang ditetapkan serta mengidentifikasi akar penyebab cacat dan prioritas perbaikannya. Metode yang digunakan adalah Fault Tree Analysis (FTA) untuk menemukan akar penyebab cacat secara sistematis, serta Failure Mode and Effect Analysis (FMEA) untuk menilai tingkat risiko dan menyusun rekomendasi perbaikan. Hasil penelitian menunjukkan terdapat 38 jenis cacat, dengan delaminasi sebagai cacat dominan yang disebabkan oleh pengaturan glue gap yang tidak sesuai standar. Faktor penyebabnya antara lain kurangnya sistem otomatisasi, fluktuasi kelembapan bahan baku, dan inspeksi glue gap yang tidak berkelanjutan. Analisis FMEA menunjukkan bahwa kegagalan akibat glue gap memiliki nilai Risk Priority Number (RPN) tertinggi, yaitu 240, sehingga menjadi prioritas utama dalam upaya perbaikan. Penerapan sensor otomatis, pelatihan operator, pengendalian kelembapan bahan baku, dan standarisasi parameter produksi sebagai langkah perbaikan untuk mengatasi permasalahan terpilih. Penerapan FTA dan FMEA terbukti efektif menyelesaikan permasalahan kualitas pada perusahaan.