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All Journal Epsilon: Jurnal Matematika Murni dan Terapan Jurnal Fisika FLUX
Nur Salam
Prodi Statistika FMIPA ULM
Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Materials Science & Nanotechnology Physics Transportation

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Analisis SWOT dengan Pendekatan Fuzzy Untuk Pemilihan Strategi Promosi Ekowisata Bukit Liang Bangkai di Kabupaten Tanah Bumbu Oni Soesanto; Nursalam Nursalam; Tanto Budi Susilo; Ketut Mega Fortuna
Jurnal Fisika FLUX Vol 1, No 1 (2019): Jurnal Fisika Flux Edisi Khusus Januari 2019
Publisher : Lambung Mangkurat University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1153.746 KB) | DOI: 10.20527/flux.v1i1.6149

Abstract

One of the potential of ecotourism in South Kalimantan that has not been much explored is the Liang Bangkai site in Tanah Bumbu. Ecotourism on the Liang Bangkai site highlights conservation in its cultural aspects and natural authenticity, without ignoring the economic aspects that are indicated to be unique and of high value. The artifact findings on this site are far more complete than the Sakulirang site, a site recommended by UNESCO as a world heritage (Sugiyanto, B., 2010). It is not easy for local governments to determine the right strategy in tourism promotion. This is related to many factors, one of which is the carefulness and thoroughness of the local government as decision makers in determining the criteria that are the strengths, weaknesses, opportunities and threats of each tourist location. Accuracy of the local government in digging information on each criterion built both externally and internally, then analyzed so that it can provide accurate information related to tourist sites and be able to formulate appropriate and measurable decision strategies for the promotion of ecotourism. The Fuzzy Analytical Network Process - Extend Analysis Chang method is used in determining the weight of interest between criteria and sub criteria and the weight of interest between promotion strategies. Based on the perception of the importance level of the sub-criteria for promotion strategies, the level of importance was found, namely Strengts - Opportunies (21.70%), Weakness - Opportunities (34.52%), Strengt - Threats (32.54%) and Weakness - Threats (11.24%). From these results, it can be seen that decision makers still emphasize strategies to overcome internal weaknesses to capture opportunities from potential Liang Bangkai sites and utilize the potential strength of the site to overcome external threats to the site.
PERAMALAN JUMLAH PRODUKSI BATUBARAMENGGUNAKAN METODE ARIMA (STUDI KASUS: PT ARUTMIN INDONESIA SITE ASAM-ASAM) Gadys Nauli Simanjuntak; Nur Salam; Maisarah Maisarah
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 17, No 1 (2023)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/epsilon.v17i1.9288

Abstract

In the world of industry and investment, the mining sector has an important role in producing natural resources in Indonesia. South Kalimantan Province is one of the regions which is very famous for being rich in natural resources, especially in the mining sector, especially energy minerals in the form of coal. In recent years, coal production at PT. Arutmin Asam Asam experienced an unstable amount of production. This study aims to obtain the best model and predict the amount of coal production at PT Arutmin Indonesia Site Asam-Asam, South Kalimantan Province using the ARIMA (Autoregressive Integrated Moving Average) method. The best Autoregressive Integrated Moving Average (ARIMA) method for predicting coal production at PT Arutmin Indonesia Site Asam-Asam is the ARIMA model (2,1,3) with a smaller Root Mean Square Error (RMSE) compared to other models, namely 92029.74. Forecasting results of coal production at PT Arutmin Arutmin Site Asam-Asam from January to August 2023 tend not to indicate stability or there will be increases and decreases in the forecasting results obtained.
PERAMALAN JUMLAH PRODUKSI TANDAN BUAH SEGAR (TBS) KELAPA SAWIT MENGGUNAKAN METODE FUZZY TIME SERIES (STUDI KASUS: PT KALIMANTAN SAWIT KUSUMA) Rizka Indriyani Pratiwi; Nur Salam; Maisarah Maisarah
EPSILON: JURNAL MATEMATIKA MURNI DAN TERAPAN Vol 17, No 2 (2023)
Publisher : Mathematics Study Program, Faculty of Mathematics and Natural Sciences, Lambung Mangkurat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20527/epsilon.v17i2.9338

Abstract

Palm oil is a type of plantation crop that occupies an important position in the agricultural and plantation sectors. This is because oil palm is the largest producer of economic value per hectare in the world. The oil produced by palm oil comes from Fresh Fruit Bunches (FFB) which consist of various levels of maturity. PT Kalimantan Sawit Kusuma is experiencing instability in the amount of production, so forecasting is needed to estimate how to keep the amount of production stable. The method used is fuzzy time series (FTS), which is data forecasting that applies fuzzy sets as a basis for forecasting modeling by processing past data patterns to be applied in predicting future data. The goal is to obtain forecasting results for FFB production from April 2023 to December 2023 and obtain a Mean Absolute Percentage Error (MAPE) value. Forecasting results of Palm Oil FFB Production applying FTS Lee Order 1 in April 2023 to December 2023 are 8,412, 8,309, 8,309, 8,309, 8,309, 8,309, 8,309, 8,309 and 8,309 tons with a MAPE value of 9.07046%. While the forecasting results for Palm Oil FFB Production using FTS Lee Order 2 for April 2023 to December 2023 are 7,309, 8,559, 7,309, 8,559, 7,309, 7,309, 8,559 and 7,309 tons with a MAPE value of 4.80541%.
Co-Authors Gadys Nauli Simanjuntak Ketut Mega Fortuna Maisarah Maisarah Rizka Indriyani Pratiwi Susilo, Tanto Budi