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Kiki Abdul Muluk
Universitas Insan Cendekia Mandiri
Chemical Engineering, Chemistry & Bioengineering Chemistry Decision Sciences, Operations Research & Management Engineering Industrial & Manufacturing Engineering

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Penentuan Indikator Jumlah Mahasiswa Optimal Pada Program Studi di Fakultas Teknik di Universitas Insan Cendikia Mandiri d/h Universitas Bandung Raya alam avrianto; Kiki Abdul Muluk
Sainteks: Jurnal Sain dan Teknik Vol 2 No 2 (2020): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v2i2.268

Abstract

Finance has a very important role in supporting the sustainability of a university's activities. In the current condition at the University of Bandung Raya, the number of students has decreased which will affect their income level. What is done by the university is to find as many students as possible in each available study program. Based on the results of the study, it shows that this results in a higher level of financial expenditure than income due to the small number of students who are spread across 4 existing study programs. Based on the results of the calculation, it is found that if the university will benefit based on the existing conditions, namely by only focusing on 1 undergraduate study program with a total of 150 students.
Pengoptimalisasian Persediaan Dengan Menggunakan Sistem Distribution Requirement Planning (DRP) di PT. XYZ Anggit Suryopratomo; kiki abdul muluk
Sainteks: Jurnal Sain dan Teknik Vol 4 No 1 (2022): Maret
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v4i1.397

Abstract

Most of the Indonesian population has a livelihood in agriculture. Fertilizer is the main component for farmers to use in farming so that managed plants can grow well. PT XYZ must be able to provide fertilizer in accordance with the demands and needs of local farmers. The level of fertilizer inventory in the warehouse is analyzed and recommendations are given to make it optimal. Optimal in the sense that the inventory level does not experience a shortage of inventory. The research method in the case study at PT XYZ is descriptive analytic. The data collection techniques used were observation, interviews and documentation studies obtained from companies and literatures related to writing. These data were analyzed using qualitative and quantitative analysis. The results obtained from this study with the DRP design using the Q System method, indicate that the estimation that has been made by PT XYZ is the estimate that is closest to the realization in an effort to optimize inventory.
Comparative Analysis of Four Time-Series Models in an Effort to Determine The Optimal Forecasting Results Kiki Abdul Muluk; Anggit Suryopratomo
Sainteks: Jurnal Sain dan Teknik Vol 4 No 2 (2022): September
Publisher : Universitas Insan Cendekia Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37577/sainteks.v4i2.457

Abstract

Forecasting is one of the company's efforts, which is the decision making for the strategy carried out. A good company will predict the production of products that will be achieved, for the future and can help solve the problem of fluctuating conditions which generally often become a problem in the company. Forecasting demand (demand), is very helpful for companies to consider in carrying out the production process in the next several periods. Furthermore, to find out what method is suitable for the forecasting method, it is used by knowing the patterns and historical data. Accuracy in using the right forecasting method is expected to assist the company in determining the level of production in accordance with consumer demand in the future. Time-series models are methods that predict the future using historical data. Time-series models make the assumption that what happens in the future is a function of what has happened in the past. The advantage of time-series models is that they can see what has happened over a period of time and use a series of past data to make predictions. The application of the right and directed forecasting method can support the company to make optimal sales in order to achieve the maximum level of profit.
Co-Authors alam avrianto Anggit Suryopratomo