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All Journal JURNAL MATEMATIKA STATISTIKA DAN KOMPUTASI Jurnal Statistika Universitas Muhammadiyah Semarang Journal of Mathematics Education and Science Jurnal Pengabdian Masyarakat Indonesia Journal of Social Outreach Basis : Jurnal Ilmiah Matematika Eksponensial
Wasono Wasono
Program Studi Matematika FMIPA Universitas Mulawarman
Humanities Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Engineering Library & Information Science Mathematics Public Health Social Sciences Other

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Journal : Eksponensial

 1 
Aplikasi Critical Path Method (CPM) dengan Crashing Program untuk Mengoptimalkan Waktu dan Biaya Proyek Try Hardini Rahayu Mukti; Ika Purnamasari; Wasono Wasono
EKSPONENSIAL Vol 10 No 1 (2019)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

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Abstract

The management of small and large-scale projects requires good planning, scheduling and coordination. Critical Path Method (CPM) is one of the method that has been developed to overcome the problem of managing a project. Time and cost greatly affect the success and failure of a project. A desired project is completed within a predetermined time, it can accelerate the duration of the activity with the consequence of an increase in cost. Acceleration of project duration at the lowest possible cost is called crashing program. The purpose of this study is to determine the optimal time and cost in completing the project. The data used is the type of work and time of completion of project work and wage costs of workers wages in the project development of SMP Negeri 24 Jalan Pangeran Suryanata Samarinda. Based on the analysis using the time efficient CPM method for completion of the project is 185 days. Acceleration of project completion time by using crashing program, project can be done for 157 days with increase of worker wage equal to Rp 473,802,785.32.
Pemodelan Geographically Weighted Regression (GWR) Dengan Fungsi Pembobot Tricube Terhadap Angka Kematian Ibu (AKI) Di Kabupaten Kutai Kartanegara Tahun 2015 Muhammad Rahmad Fadli; Rito Goejantoro; Wasono Wasono
EKSPONENSIAL Vol 9 No 1 (2018)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

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Maternal Mortality in Kutai Kartanegara is a geographical problem that suspected affected by geographical factor which the global regression cannot model the relation well between the main problem and its independent variable. Therefore, Geographically Weighted Regression (GWR) is used to solve it. Spatial statistics is a method for analyzing data that has spatial correlation. GWR Model is the locally of global regression which considering the geographical or location as the weighted function for estimating the parameters of models. The tricube weighted function is used for the weighting. From this study, the models are different from location to others with also has the independent variables. For Samboja, Muara Jawa, Sanga-Sanga, Anggana, Muara Badak, Marang Kayu, and Tabang which are not affected by the indicators. Loa Janan, Loa Kulu, Muara Muntai, Kota Bangun, Tenggarong, Sebulu, Tenggarong Seberang, Muara Kaman, and Kenohan have the Maternal Mortality affected by Hospital Ratio per 1.000 Pregnant Mothers (x1). Muara Wis, Kenohan, dan Kembang Janggut have the Maternal Mortality affected by Childbirth with Medical Help (x2). Muara Muntai, Muara Wis, Kota Bangun, Sebulu, Tenggarong, Muara Kaman, Kenohan, and Kembang Janggut have the Maternal Mortality affected by Health Care of Childbed (x4).
Klasifikasi Batubara Berdasarkan Jenis Kalori Dengan Menggunakan Algoritma Modified K-Nearest Neighbor Imalita Agustin; Yuki Novia Nasution; Wasono Wasono
EKSPONENSIAL Vol 10 No 1 (2019)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

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Coal is a sedimentary rock containing the main elements Carbon (C), Hydrogen (H), and Oxygen (O). Examination of coal samples in the laboratory according to company operational standard based on Air Dried Basis (ADB) are the amount of water, ash content, flying substance, solid carbon, sulfur, and Gross Calorific Value. At PT. Pancaran Surya Abadi Anggana Subdistrict Kutai Kartanegara, coal is classified based on its calorie type namely Antrachite, Bituminous, and Sub-Bituminous. In this research Modified K-Nearest Neighbor (MKNN) Algorithm is used to predict the classification. The k-Fold Cross Validation technique is used to obtain the optimal K value on MKNN Algorithm for accuracy. A measurement based on this research, the K-Optimal value used in MKNN Algorithm for coal classification in PT.Pancaran Surya Abadi is 3-NN. The value of K = 3 produces the prediction accuracy of Coal Classification based on the type of calories in PT.Pancaran Surya Abadi on 100% testing data
Proses Optimasi Masalah Penugasan One-Objective dan Two-Objective Menggunakan Metode Hungarian Diang Dewi Tamimi; Ika Purnamasari; Wasono Wasono
EKSPONENSIAL Vol 8 No 1 (2017)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

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Abstract

Assignment problem is a situation where m workers are assigned to complete n tasks/jobs to minimize costs and time or maximize profits and quality by setting the proper task to each worker. Many researches have been focused to solve assignment problem, but most of them only consider one-objective such as minimizing the cost of operation. Two-objectiveassignment problem is the assignment problem that has two objectives optimization of some of the resources owned by each worker to complete every task/job which are cost and time for this case. Case in this research use primary data drawn from the interviews of Rattan furniture craftman in Rotan Sejati store, Samarinda. This research will optimize the one-objective and two-objective assignment problem by using Hungarian Method. The analysis result revealed that the optimization proccess of one-objective assignment problem only considering operation cost is Rp. 2.950.000,- with total time is 63 days. The optimization proccess of one-objective assignment problem only considering operation time is Rp. 3.290.000,- with total time is 52 days. The optimization proccess of one-objective assignment problem only considering quality is Rp. 3.550.000,- with total time is 59 days. The optimization proccess of two-objective assignment problem only considering operation cost and operation time is Rp. 3.170.000,- with total time is 52 days. The optimization proccess of two-objective assignment problem only considering operation cost and quality is Rp. 3.380.000,- with total time is 61 days. The optimization proccess of two-objective assignment problem only considering operation time and quality is Rp. 3.350.000,- with total time is 59 days.
Penaksiran Parameter Model Mixed Geographically Weighted Regression (MGWR) Data Indeks Pembangunan Manusia di Kalimantan Tahun 2016 Mita Asti Wulandari; Suyitno Suyitno; Wasono Wasono
EKSPONENSIAL Vol 10 No 2 (2019)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

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Abstract

Mixed Geographical Regression (MGWR) model is a combination of global linear regression model and GWR model. Some MGWR parameters are global (the same value) and the other parameters are local (different values) ​​at each observation location. The purpose of this study is to obtain MGWR model for every District’s HDI and to obtain the factors that significantly influence District HDI in East Kalimantan, Central Kalimantan and South Kalimantan Provinces. Estimating parameters for global parameters use Ordinary Least Square (OLS) method. Estimating parameters for local parameters use Weighted Least Square (WLS) method, where weighting spatial is determined by using gaussian adaptive function. Based on the result of MGWR parameters testing, it was concluded that the school enrollment rates (SMP) affected the HDI of all districs in East Kalimantan, Central Kalimantan and South Kalimantan provinces. The population density and the percentage of poor people influence locally to HDI.
Penggunaan Metode Kaizen Pada Tahap Improve Dalam Six Sigma Yuliana Yuliana; Yuki Novia Nasution; Wasono Wasono
EKSPONENSIAL Vol 8 No 1 (2017)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

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Abstract

Six sigma is a holistic approach to solve the cause of disabilityproductsproblems and improve processes through the DMAIC (Define, Measure, Analyze, Improve, Control). Analyze the causes of product defect using the proposed improvement of Kaizen that is Five-M Checklist, 5W+1H (What, Why, Where, When, When, Who, How), and Five Step Plans. Obtained a better quality thereby creating customer satisfaction. The purpose of this study were to determine the value of Defect Per Million Opportunities (DPMO), Critical To Quality (CTQ) products, and know the process of production of bottled water brand RAMA volume 220ml. The result showed DPMO value 45.808. The level of the company be at 3,186 sigma with Critical To Quality (CTQ) is lid at 41,3%, water volume at 27,1%, and glass at 25%. The p-chart is used before and after improvement in this study to analyze the number of defective product. The result showed that before the repair using analysis of Kaizen, there is a lot of data out of the control limits, whereas after repair using analysis of Kaizen there is no data out of the control limits and some data products were near the centerline of the control p-chart.
Penentuan Percepatan Penyelesaian Proyek Pada Metode Jalur Kritis dengan Program Crash Wasono Wasono; Fidia Deny Tisna Amijaya; Moch Nurul Huda
EKSPONENSIAL Vol 10 No 1 (2019)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

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Abstract

A project requires scheduling so that project completion time can be completed at the targeted time. Critical Path Method (CPM) is one of the scheduling methods that is able to provide solutions to scheduling problems. This method has several project acceleration methods to get the fastest turnaround time with a minimal increase in costs. The acceleration method is the program crashes by not using free float time. Case studies of project scheduling at the bus terminal administration office building in city X have been carried out. Analysis is carried out to obtain a critical path at normal times. At normal times, the implementation time is 385 days with a total cost of Rp. 488,488,000.00. After that the project was accelerated by using a crash program by not using the free float time and the implementation time being 289 days with a direct total project cost of Rp. 520,239,992.00. Based on the time of the acceleration of the crash by not using the free float time, the reduction time was 96 days with the addition of a total direct cost of Rp. 14.252.008.00
Penjadwalan Proyek Dengan Metode Program Evaluation and Review Technique (PERT) Nur Annisa Roziya; Ika Purnamasari; Wasono Wasono
EKSPONENSIAL Vol 9 No 2 (2018)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (541.805 KB) | DOI: 10.30872/eksponensial.v9i2.305

Abstract

Project scheduling is one of the techniques developed in operations research to solve management problems to obtain optimal solutions. One of the methods used for project scheduling is the method of Program Evaluation and Review Technique (PERT). In PERT method, three time estimates are used, that is optimistic time (a), pessimistic (b), and realistic (m). In this study, PERT method is used to determine the optimal duration and probability value of the completion of the Grand Sangatta housing project on house type 36 which is sourced from CV Miftah Collection. The data obtained are primary data and interview. Based on the results of the analysis, it can be know the activities that are on the critical path are the activities of making the foundation (B), concrete (D), wall (E), roof (H), ceiling (I), and painting (L). The minimum time duration of completion of type 36 homes is 34 days with a 50% confidence level which was originally scheduled for 60 days.
Perbandingan Hasil Revised Distribution Method dan Metode Stepping Stone dengan Penentuan Nilai Awal Menggunakan Metode North West Corner dalam Meminimumkan Biaya Pendistruibusian Barang Zulaiha Eka Saputri; Yuki Novia Nasution; Wasono Wasono
EKSPONENSIAL Vol 10 No 1 (2019)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

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Abstract

Globalization and free trade era make the distribution of goods as if not limited by region. In the process of distribution of goods, cost calculation becomes a very important factor, to minimize the cost of distribution, it is necessary to apply a transportation modeling. Revised Distribution Method (RDI) is a method of transportation that does not use initial solutions in its completion. The RDI method is different with the Stepping Stone Method that uses the initial solution to determine the optimal solution. The purpose of this research is to minimize the cost of distribution of LPG gas 3 Kg using RDI and Stepping Stone method and then compare the two methods to see optimal results. The result shows that RDI method has 10 iterations with minimum cost of Rp 26.719.520,- thus saving 41% with cost difference of Rp 18.280.480,- from previous transportation cost of Rp 45.000.000,- while Stepping Stone method has 4 iterations with result a minimum charge of Rp 24.000.000,- thus saving 47% with a difference of Rp 20.968.000,- from the previous fee of Rp 45.000.000,-. So it can be concluded that the stepping stone method is a more appropriate method to minimize the amount of transportation costs at PT. Tri Pribumi Sejati.
Pemodelan Geographically Weighted Regression (Gwr) Dengan Fungsi Pembobot Adaptive Kernel Bisquare Untuk Angka Kesakitan Demam Berdarah di Kalimantan Timur Tahun 2015 Aditiya Risky Tizona; Rito Goejantoro; Wasono Wasono
EKSPONENSIAL Vol 8 No 1 (2017)
Publisher : Program Studi Statistika FMIPA Universitas Mulawarman

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Abstract

Dengue Fever in East Borneo is thought to be a spatial problem that affected by geographic factor and linear regression analysis that is often can not describe with Good Relations pattern. The solution for this problem can be solved using Geographic Weighted Regression Method (GWR) to review and Troubleshooting geographic factor. This research Model proposed to consider GWR model with geography factor or location as the weight to estimate the model parameters, the weight type that used for this research is Adaptive Bisquare. Based on the analysis, this research revealed different model to every observations and different indicators. The eight locations are Paser, Kutai Kartanegara, West Kutai, East Kutai, Berau, Balikpapan, Samarinda dan Bontang. Those locations have variable that affected the morbidity number of dengue fever equally specifically house, elementary school facilities and public place that do not meet the requirements of health, and also waste transported while for the observation location of Penajam Paser Utara has the affected variable of dengue fever morbidity number equally which are house, waste transported, elementary school facilities and public place that do not meet the requirements of health, and also the citizen that do not have the healthy and hygienic lifestyle pattern.
Co-Authors Aditiya Risky Tizona Asmaidi Clara Indriani Puspitasari Darnah, Darnah Desi Febriani Putri Diang Dewi Tamimi Fidia Deny Tisna Amijaya Ghony N Nurhuda Gracyella Niken Sekar Arum Hardina Sandariria Husna Novia Iin Fadliani Ika Purnamasari Ika Purnamasari Imalita Agustin Indriasri Raming Itsar Mangngiri Meiliyani Siringoringo Mita Asti Wulandari Moch Nurul Huda Moh. Nurul Huda Muhammad Rahmad Fadli Muliya Wiladi Neni Rahayu Nur Annisa Roziya Qonita Qurrota A'yun Qonita Qurrota A'yun Qonita Qurrota A'yun Qonita Qurrota A’yun Rito Goejantoro, Rito Sarah Fadhilah Sendy Clara Aprillia Sri Wigantono Suyitno Suyitno Syaripuddin Syaripuddin Taqriri Kamal Mulyadi Try Hardini Rahayu Mukti Yogie Pratama Kaindi Yoki Novia Nasution Yuki Novia Nasution Yuki Novia Nasution Yuki Novia Nasution Yuliana Yuliana Zulaiha Eka Saputri