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Fitting The First Birth Interval in Indonesia Using Weibull Proportional Hazards Model Faruk, Alfensi; Setyo Cahyono, Endro; Eliyati, Ning
CAUCHY Vol 5, No 2 (2018): CAUCHY
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (721.9 KB) | DOI: 10.18860/ca.v5i2.4060

Abstract

The first birth interval is one of the indicators of women’s fertility rate. Because in most cases the first birth interval contains censored observations, the only appropriate statistical method to handle such data is survival analysis. The main objective of this study is to analyze several socioeconomic and demographic factors that affect the first birth interval in Indonesia using the univariate and multivariate survival analysis, that is Kaplan-Meier method and Cox regression model, respectively. The sample is obtained from 2012 Indonesian Demographic and Health Survey (IDHS) and consists of 28242 ever married women aged 15-49 at the time of interview. The results show that age at the first birth, women's educational level, husband’s educational level, contraceptive knowledge, wealth index, and employment status are the significant factors affecting the first birth interval in Indonesia.
Supplier Selection Analysis Using Minmax Multi Choice Goal Programming Model Dewi, Novi Rustiana; Susanti, Eka; Suprihatin, Bambang; Cahyono, Endro Setyo; Permata, Anggun; Yanita, Nurul Fadhila
CAUCHY Vol 7, No 1 (2021): CAUCHY: Jurnal Matematika Murni dan Aplikasi
Publisher : Mathematics Department, Maulana Malik Ibrahim State Islamic University of Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/ca.v7i1.12944

Abstract

Production control, inventory and distribution is an important factor in trading activities. These three factors are discussed in a system called Supply Chain Management (SCM). Procurement of goods from a company or trading business related to suppliers. In some cases, there are several supplier that can be assessed by considering certain factors. In certain cases, the data from several factors that are considered are uncertainty, so the fuzzy approach can be used. The MINMAX Multi Choice Goal Programming model can be used to solve fuzzy supplier selection problems with linear membership function. It can be applied to selecting supplier of Brastagi Oranges. There are four suppliers, namely Jaya, Mako, Baros.  Gina. There are three factor to consider, cost, quality and delivery. The decision maker select the best supplier for ordering 17000 kg Brastagi oranges. The results, the best supplier is Gina with an order quantity of 10000 kg and Mako with a total order of 7000 kg
Penggunaan Algoritma Goal Programming pada Penentuan Jumlah Optimal Produksi BBM di PT. Pertamina (Persero) Unit Pengolahan III Plaju-Palembang Endro Setyo Cahyono; Fitri Maya Puspita; Rima Kesuma
Jurnal Penelitian Sains No 19 (2006)
Publisher : Faculty of Mathtmatics and Natural Sciences

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (5804.245 KB) | DOI: 10.56064/jps.v0i19.463

Abstract

Perusahaan seringkali mempunyai suatu teknik untuk memaksimumkan laba, meminimumkan biaya produksi ataupun mengoptimalkan hal lainnya. PT. Pertamina sebagai salah satu perusahaan besar memiliki beberapa tujuan yang ingin dicapai dalam hal mengoptimalkan jumlah produksi BBM, diantaranya yaitu memperoleh laba perusahaan diatas US $ 2000, mengoptimalkan waktu pada proses produksi, menghindari kelebihan kapasitas produksi dan memenuhi permintaan pasar terhadap BBM minimal 32.005.320 Barel. Goal Programming merupakan teknik yang layak untuk menyelesaikan masalah tersebut karena ciri dasar dari Goal Programming dapat menyelesaikan masalah yang memiliki beberapa tujuan. Model Goal Programming menggunakan Tabel simpleks yang dimodifikasi. Dari penyelesaian yang telah dilakukan diperoleh solusi optimal Goal Programming maka dari keempat tujuan yang ingin dicapai hanya satu tujuan yang dapat dipenuhi yaitu terpenuhinya permintaan pasar terhadap BBM minimal 32.005.320 Barel dengan jumlah optimal produksi BBM sebanyak 40.292.730 Barel.
Efficient Auxiliary Information Based Exponentially Weighted Moving Coefficient of Variation Control Chart using Hybrid Estimator : An Application to Monitor NPK Fertilizer Muhammad Alifian Nuriman; Endro Setyo Cahyono
Inferensi Vol 5, No 2 (2022)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v5i2.14158

Abstract

In this era, manufacturing sectors should ensure the quality of their production process and products. They must reduce the variability that occurs in their operation. Coefficient variation control charts have become important statistical Process Control (SPC) tools for monitoring processes when the process mean linear function with the standard deviation. In recent years, auxiliary information-based-CV control charts using memory type structure have been investigated to enhance the sensitivity of control charts. Auxiliary information is selected when the variable remains stable during the monitoring period. Nevertheless, the AIB statistic is constructed based on lognormal transformation, and no research investigated the memory type CV chart using estimator of AIB-CV from the combination of ratio and regression form called hybrid form. This research proposes a hybrid auxiliary information-based exponentially weighted moving coefficient of variation (Hybrid AIB-EWMCV) control chart for detecting small to moderate shifts in the CV process. The Average Run Length (ARL) simulation shows that increasing the level of correlation and sample sizes enhances the detection ability of the control chart. Also, the proposed chart performs well than existing chart. A real dataset from fertilizer manufacturing is implemented to explain the condition of the process by using a Hybrid AIB-EWMCV control chart.
Penerapan Model Inventori dengan Waktu Diskret dan Leadtime Pada Permasalahan Persediaan Daging Beku Eka Susanti; Des Alwine Zayanti; Endro Setyo Cahyono; Novi Rustiana Dewi; Oki Dwipurwani; Dian Cahyawati Sukanda; Muhammad 'Aqil
Jurnal Sains Matematika dan Statistika Vol 9, No 1 (2023): JSMS Januari 2023
Publisher : Universitas Islam Negeri Sultan Syarif Kasim Riau

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24014/jsms.v9i1.20783

Abstract

Inventory management is needed to ensure product availability and minimize the risk of loss, especially for perishable products. This study aims to determine the optimal supply of frozen meat that minimizes total costs using the analytical matrix method. The concept of Quasi-Birth-Death with discrete time and leadtime is applied for analytic matrix calculations. The results obtained were an increase in inventory levels in each inventory period with an average increase of 2.4336% and an average increase in total costs of 17.2056%.
UJI BEDA KASUS COVID-19 DI WILAYAH SUMATERA SELATAN BERDASARKAN PEMBAGIAN KELOMPOK PERIODE WAKTU Endro Setyo Cahyono; Dian Cahyawati; Nadya Amalia Yulianti; Muji Gunarto
Teorema: Teori dan Riset Matematika Vol 8, No 1 (2023): Maret
Publisher : Universitas Galuh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25157/teorema.v8i1.9148

Abstract

Kasus Covid-19 bergerak dinamis dan masih cenderung meningkat. Artikel ini bertujuan untuk mendeskripsikan hasil penelitian pengujian perbedaan kasus baru Covid-19 antar kelompok periode waktu di Provinsi Sumatera Selatan. Data diamati dari 1 Januari 2021 hingga 31 Juli 2022 yang dikumpulkan dari publikasi website provinsi. Metode penelitian menggunakan uji Kruskall-Wallis sebagai alternatif uji one-way ANOVA. Periode waktu dibagi menjadi tujuh kelompok yang terdiri dari empat kelompok kondisi gelombang dan tiga kelompok kondisi melandai. Pengujian hipotesis dilakukan pada kondisi gelombang, kondisi melandai, dan kombinasi antar kondisi gelombang dan melandai. Hasil kondisi gelombang menunjukkan keempat kelompok periode waktu memiliki perbedaan yang signifikan terhadap kondisi kasus Covid-19. Pengujian hipotesis pada kasus Covid-19 antara kondisi melandai dan kombinasi gelombang dan melandai menunjukkan signifikansi hasil yang sama. Hasil penelitian memberikan informasi bahwa jumlah kasus Covid-19 pada periode waktu yang bertepatan dengan pasca hari besar keagamaan, atau hari libur nasional menunjukkan peningkatan rata-rata kasus yang signifikan berbeda secara statistik dibandingkan dengan kelompok periode waktu lainnya. Hasil tersebut memperkuat informasi bahwa jumlah kasus baru Covid-19 bergerak dinamis dan berbeda-beda berdasarkan kelompok periode waktu akibat adanya momen aktivitas tertentu.  Hasil ini menyarankan untuk tetap menerapkan protokol kesehatan terutama ketika kita berada dalam beraktivitas sosial.
PENDAMPINGAN PENYUSUNAN PERENCANAAN SISTEM PENGANGKUTAN SAMPAH TERPADU DI DESA PAMPANGAN KABUPATEN OGAN KOMERING ILIR Eka Susanti; Indrawati; Oki Dwipurwani; Endro Setyo Cahyono; Robinson Sitepu
Diseminasi: Jurnal Pengabdian kepada Masyarakat Vol. 5 No. 1 (2023)
Publisher : Pusat Pengabdian kepada Masyarakat- LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/diseminasiabdimas.v5i1.2294

Abstract

The service activity for planning an integrated waste transportation system was carried out in Pampangan Village, Pampangan District, Ogan Komering Ilir, South Sumatra. The unavailability of integrated waste transportation facilities in Pampangan is the rationale for community service activities. The purpose of the activity is to provide assistance in preparing a plan for an integrated waste transportation system in Pampangan. The planning made is related to the facilities for transporting waste and the location of the TPA (final disposal site). Based on the results of the waste sample, the estimated amount of waste generated every day is 1000 kg. Using goal programming and linear programming, a wooden cart with a maximum capacity of 15 kg and 25 kg can transport waste 6 times and 26 times, respectively. Based on the calculation of total transportation, a waste transportation vehicle with a capacity greater than the currently available means of transportation is required.
Optimasi Produksi Dan Analisis Sensitivitas Menggunakan Algoritma Titik Interior (Studi Kasus: UP2K Melati, Prabumulih) Asri Kuntari; Sisca Octarina; Endro Setyo Cahyono
Jurnal Matematika Integratif Vol 11, No 1: April, 2015
Publisher : Department of Matematics, Universitas Padjadjaran

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (431.35 KB) | DOI: 10.24198/jmi.v11.n1.9400.75-84

Abstract

Algoritma titik interior merupakan suatu metode penyelesaian permasalahan pemrograman linear dengan mentransformasikan titik interior awal ke dalam daerah fisibel sehingga mencapai solusi optimal penyelesaian pemrograman linear. Penelitian ini bertujuan mengaplikasikan algoritma titik interior dalam menyelesaikan permasalahan optimasi produksi makanan ringan berbahan baku nanas pada UP2K Melati, Prabumulih. Keuntungan produksi dihitung dengan memperhatikan kendala bahan baku dan proses produksi. Berdasarkan hasil penelitian, diperoleh keuntungan maksimum produksi UP2K Melati sebesar Rp 710.987,00. Produk UP2K Melati yang diproduksi adalah dodol nanas sejumlah 43 kemasan/250 gram, manisan nanas sejumlah 65 kemasan/250 gram, dan keripik nanas sejumlah 128 kemasan/250 gram. Produk wajik nanas tidak direkomendasikan untuk diproduksi, karena produk wajik nanas tidak meningkatkan keuntungan produksi.
Klasifikasi Gejala Awal Covid-19 dengan Algoritma Classification and Regression Tree (Cart) Agung Alamsyah; Anita Desiani; Endro Setyo Cahyono
KOMPUTEK Vol 7, No 2 (2023): Oktober
Publisher : Universitas Muhammadiyah Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24269/jkt.v7i2.2095

Abstract

COVID-19 is a disease that can cause death and can spread to others. By identifying early symptoms of the disease, early detection can be made for several symptoms that may cause COVID-19. One way to predict COVID-19 is through classification methods. By identifying the symptoms that have an impact on COVID-19, it is hoped that the COVID-19 virus can be stopped from spreading and the world's condition can be normal. This study shows an analysis of attributes that may have an impact on the onset of COVID-19 in an individual. The classification method used is one of the decision tree methods, namely the Classification and Regression Tree (CART). The training and testing methods used in this study are cross-validation and percentage split. The attribute that has a significant influence in this classification using CART method is lung infection. The performance of the system using cross-validation method with a value of k of 10 obtained an accuracy of 85%, which is considered good, while using a percentage split of 66%, an accuracy of 87% was obtained. The evaluation results for the class indicating COVID-19 with precision and recall in cross-validation are 70% and 68%, respectively, while for the percentage split method, precision and recall values of 75% and 70% were obtained, respectively.
Robust-Set Covering Problem and Sensitivity Analysis to Determine The Location of Temporary Waste Disposal Sites Octarina, Sisca; Bangun, Putra Bahtera Jaya; Cahyono, Endro Setyo; Suprihatin, Bambang; Sarjani, Ita; Puspita, Fitri Maya; Yuliza, Evi
Science and Technology Indonesia Vol. 9 No. 2 (2024): April
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2024.9.2.260-272

Abstract

The increasing population has resulted in a significant increase in the amount of waste. One effort that can be made to overcome the waste problem is to provide a Temporary Waste Disposal Site (TWDS). This research aims to optimize the TWDS in the Bukit Kecil sub-district, Palembang city, by formulating a Robust-Set Covering Problem (Robust-SCP) model and solving the model with the software. Sensitivity analysis is used to analyze the optimal solution. Bukit Kecil sub-district is the sub-district that has the highest number of TWDS in Palembang city. The robust-SCP model obtained 10 optimal TWDS. Therefore, this research recommends the Robust SCP model as the optimal solution for the determination of TWDS in the Bukit Kecil sub-district, namely TWDS Kartini Street, TWDS front of Starbucks KI Street, TWDS Merdeka Street, TWDS Illegal at 26 Ilir Market, TWDS Flat Block 35, TWDS Flat Block 49, TWDS Merdeka Women’s Prison, TWDS Musi Riverbank Park, TWDS Monpera, and TWDS Cinde Market, with the addition of TWDS Mayor’s Office in 22 Ilir village and TWDS Flat Block 01 in 23 Ilir village. The sensitivity analysis results in this study show that the solution remains optimal if the coefficient change is within the coefficient interval value.