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PENENTUAN LOKASI STRATEGIS AUTOMATIC TELLER MACHINE PT. BANK SYARIAH INDONESIA TBK MENGGUNAKAN METODE DECISION TREE Masruroh, Masruroh; Fatekurohman, Mohamat; Anggraeni, Dian
Jurnal Ilmiah Matematika dan Pendidikan Matematika Vol 14 No 1 (2022): Jurnal Ilmiah Matematika dan Pendidikan Matematika (JMP)
Publisher : Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20884/1.jmp.2022.14.1.5653

Abstract

ABSTRACT. The problem of placing the location of the Automatic Teller Machine Bank Syariah Indonesia Tbk (ATM BSI) both already and to be installed can take into account various factors such as reach or distance from the center of the crowd to the location, population density, topography and security level. Decision Tree is one of the classification methods in data mining to solve the problem of various factors to determine the strategic location of BSI ATM. The results obtained from training data and testing data are 100% each and the AUC value is 1. The results show the best variables are the population variable and the distance from ATM to gas stations with very good accuracy, and able to predict strategic and non-strategic locations.Keywords: Strategic Location, Automatic Teller Machine (ATM), Decision Tree Method. ABSTRAK. Permasalahan penempatan lokasi Automatic Teller Machine Bank Syariah Indonesia Tbk (ATM BSI) baik yang sudah maupun yang akan dipasang dapat memperhatikan berbagai faktor seperti, jangkauan atau jarak dari pusat keramaian menuju lokasi, kepadatan penduduk, topografi dan tingkat keamanan. Decision Tree adalah salah satu metode klasifikasi pada data mining untuk menyelesaikan permasalahan berbagai faktor untuk menentukan lokasi strategis ATM BSI. Adapun hasil yang diperoleh dari data training dan data testing masing- masing 100% dan nilai AUC 1. Hasil menunjukkan variabel terbaik adalah variabel jumlah penduduk dan jarak ATM ke SPBU dengan akurasi sangat baik, dan mampu memprediksi lokasi strategis dan tidak strategis.Kata Kunci: Lokasi strategis, Automatic Teller Machine (ATM), Metode Decision Tree.
HUBUNGAN KARAKTERISTIK MASYARAKAT DENGAN PERAN PARTISIPASI DALAM PROGRAM GREEN WALL DI TAMAN NASIONAL GUNUNG GEDE PANGRANGO Sofiyudin, Andriyatno; Salampessy, Messalina L.; Anggraeni, Dian
Jurnal Nusa Sylva Vol. 16 No. 2 (2016): JURNAL NUSA SYLVA
Publisher : Universitas Nusa Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (263.123 KB) | DOI: 10.31938/jns.v16i2.179

Abstract

Keberadaan masyarakat di sekitar kawasan konservasi memiliki peran penting bagi kelestarian fungsi Kawasan tersebut. Efektifitas pengelolaan kawasan tersebut akan terganggu apabila rendahnya partisipasi tersebut.  Untuk itulah maka tujuan penelitian ini adalah mengetahui hubungan karakteristik penggrap lahan dengan peran partisipasi dalam kegiatan Green Wall.Program Green wal ini bertujuan untuk untuk merestorasi areal perluasan yang sebelumnya berupa areal terdegradasi yang diakibatkan oleh aktivitas pertanian masyarkat lokal disekitar Kawasan konservasi. Metode penelitian ini adalah studi kasus dan menggunakan analisis distribusi frekuensi dengan tabulasi silang yang kemudian diuji dengan teknik Chi kuadrat (Chi Square). Hasil riset menunjukkan bahwa adanya hubungan keeratan antara karakreristik masyarakat dengan peran partisipasinya dan faktor yang berpengaruh adalah pengetahuan tentang Green Wall, luas garapan, alasan meninggalkan garapan, pendapatan per tahun responden, jenis kelamin, umur responden, pekerjaan responden, tingkat pendidikan responden, nilai aset/kekayaan, jumlah tanggungan keluarga dan identitas asal responden.
Saxena-Easo Fuzzy Time Series on Indonesia’s Inflation Rate Forecasting Ramadhani, Lutvia Citra; Anggraeni, Dian; Kamsyakawuni, Ahmad
Jurnal ILMU DASAR Vol 20 No 1 (2019)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (261.92 KB) | DOI: 10.19184/jid.v20i1.6881

Abstract

Saxena-Easo Fuzzy Time Series (FTS) is a softcomputing method for forecasting using fuzzy concept. It doesn’t need any assumption like conventional forecasting method. Generally it’s focused on three important steps like percentage change as the universe of discourse, interval partition, and defuzzification. In this research, this method is applied to Indonesia’s inflation rate data. The aim of this research is to forecast Indonesia’s inflation rate in 2017 by using input from Autoregressive Integrated Moving Average (ARIMA) process, Saxena-Easo FTS, and actual data from 1970-2016. ARIMA is focused on four steps like identifying, parameter estimation, diagnostic checking, and forecasting. The result for Indonesia’s inflation rate forecasting in 2017 is about 5.9182 using Saxena-Easo FTS. Root Mean Square Error (RMSE) is also computed to compare the accuracy rate from each method between Saxena-Easo FTS and ARIMA. RMSE from Saxena-Easo FTS is about 0.9743 while ARIMA is about 6.3046. Keywords: saxena-easo fuzzy time series, ARIMA, inflation rate, RMSE.
Simple House Needs in Jember with Robust Small Area Estimation Murtinasari, Frida; Hadi, Alfian Futuhul; Anggraeni, Dian
Jurnal ILMU DASAR Vol 18 No 1 (2017)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (694.747 KB) | DOI: 10.19184/jid.v18i1.3159

Abstract

SAE (Small Area Estimation) is often used by researchers, especially statisticians to estimate parameters of a subpopulation which has a small sample size. Empirical Best Linear Unbiased Prediction (EBLUP) is one of the indirect estimation methods in Small Area Estimation. The presence of outliers in the data can not guarantee that these methods yield precise predictions . Robust regression is one approach that is used in the model Small Area Estimation. Robust approach in estimating such a small area known as the Robust Small Area Estimation. Robust Small Area Estimation divided into several approaches. It calls Maximum Likelihood and M- Estimation. From the result, Robust Small Area Estimation with M-Estimation has the smallest RMSE than others. The value is 1473.7 (with outliers) and 1279.6 (without outlier). In addition the research also indicated that REBLUP with M-Estimation more robust to outliers. It causes the RMSE value with EBLUP has five times to be large with only one outlier are included in the data analysis. As for the REBLUP method is relatively more stable RMSE results.
The Development of Web-based Graphical User Interface for Learning and Fitting Generalized Estimating Equation with Spline Smoothers Tirta, Made; Anggraeni, Dian
Jurnal ILMU DASAR Vol 19 No 1 (2018)
Publisher : Fakultas Matematika dan Ilmu Pengetahuan Alam Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (926.554 KB) | DOI: 10.19184/jid.v19i1.6997

Abstract

Statistical modeling (regression analyses) have been growing rapidly into various directions to accommodate various data conditions. For longitudinal or repeated measures data, one of the suitable models is GEE (Generalized Estimating Equation). In practice, to do complex modeling such as GEE, the use of statistical software is necessary and it is available on free open source software R. However, GEE modeling on R can only be access through command line interface (CLI), and most practical researchers very much rely on Graphical User Interface (GUI) based statistics software. To make access to GEE (both order 1 and 2) much easier, we developed, using Shiny toolkit, two types of web-based GUI, standard pull down menu type and e-module type (with narrative theories) that can be utilized for learning and fitting GEE. This paper discusses the features of the interfaces and illustrates the use of them. Keywords: longitudinal data, Generalized Estimating Equation (GEE), exponential families, statistical modeling, correlated response, nonparametric, natural splines, shiny toolkit
Classification of Cardiovascular Disease Gene Data Using Discriminant Analysis and Support Vector Machine (SVM) Prayogo, Rizky; Anggraeni, Dian; Hadi, Alfian Futuhul
BERKALA SAINSTEK Vol 10 No 3 (2022)
Publisher : Universitas Jember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19184/bst.v10i3.22259

Abstract

Cardiovascular disease is a disease caused by impaired function of the heart and blood vessels. This disease is caused by many factors, one of which is genetics, while the causes are age, gender, and family history. In this study, classification of 62 individuals with normal response and cardiovascular disease was carried out. Discriminant Analysis (AD) is a method that classifies data into two or more groups based on several variables where data that has been entered into one group will not be included in another group. The Support Vector Machine (SVM) performs classification by building an N-dimensional hyperplane that optimally separates data into two categories in the input space. Furthermore, AD and SVM will be compared to get which method has the best accuracy, after that it will be added to clustering using k-means and k-means kernels to improve the accuracy of each method. The results of this study are AD and SVM have accuracy values of 83.33% and 91.66%, for AD and SVM which are subjected to k-means have accuracy values of 91.66 % and 91.66 %, and for AD and SVM subjected to k-means kernel has an accuracy value of 100 % and 100 %.
KLASIFIKASI PENENTUAN LOKASI STRATEGIS OUTLET BANK SYARIAH INDONESIA DENGAN METODE NAÏVE BAYES CLASSIFIER Rizal, Navioer; Fatekurohman, Mohamat; Anggraeni, Dian
Jurnal Gaussian Vol 12, No 4 (2023): Jurnal Gaussian
Publisher : Department of Statistics, Faculty of Science and Mathematics, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/j.gauss.12.4.477-486

Abstract

Today, the development of the banking sector occurs in the conventional banking sector and the Islamic banking sector, one of which is developing Bank Syariah Indonesia. Bank Syariah Indonesia strives to develop a strategic new office network or branch outlet location that has not been optimal. This research aims to know and analyze the model and determination of variable importance and its effect on the strategic location classification of Bank Syariah Indonesia outlets using the Naïve Bayes Classifier method. The classification model of strategic location determination of offices or outlets obtained from the analysis results in calculating prior probability values and conditional probabilities. The results of the model evaluation test indicator for the Naïve Bayes Classifier method showed an accuracy value of 94,12% and an AUC score of 0,9808. The model was able to classify 16 of the 17 data. The model produces the results of variables importance 6 recommendations variables of the 7 variables used in the study it is location in office area, location in industrial area, populations density of the area, moslem populations of the area, distance from the security office, and distance from the market. The variable importance can be a consideration of Bank Syariah Indonesia optimizing indicators of the office location selection.
THE EFFECT OF ATTITUDE, LEVEL OF EDUCATION AND SUPPORT OF HEALTH PERSONNEL ON THE ABILITY OF REGULATING DIET PATTERNS IN DIABETES MELLITUS PATIENTS USING A SELF-CARE THEORY APPROACH Anggraeni, Dian; Fikriana, Riza; Nurbadriyah, Wiwit Dwi
PHARMACOLOGY, MEDICAL REPORTS, ORTHOPEDIC, AND ILLNESS DETAILS Vol. 1 No. 2 (2022): APRIL
Publisher : Transpublika Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (417.536 KB) | DOI: 10.55047/comorbid.v1i2.73

Abstract

Diabetes mellitus is a chronic disease of metabolic disorders and hyperglycemia caused by impaired insulin secretion which is characterized by an increase in blood glucose levels exceeding normal limits (70-140 mg/dL). Diabetes mellitus can be caused by several factors, one of which is a poor diet. The purpose of this study was to analyze the effect of attitudes, education level and support of health workers on the ability to manage dietary patterns in diabetes mellitus sufferers using the Self-Care theory approach in Banjarejo Village, Pakis District. The research design used Analytical Observational with Cross-Sectional method. The sample used is 80 respondents using Non Probability Sampling with purposive sampling technique. The variables used are attitude, level of education, support of health workers and ability to manage diet patterns. The process of collecting data using a questionnaire in accordance with the inclusion and exclusion criteria, then data processing is carried out and followed by a statistical test of logistic regression using the help of a computer program. The results of the Logistic Regression Test showed that the variable that had the most influence on the ability to manage dietary patterns was the support of health workers variable with a significance value (p-value) of 0,044 < 0,05. As a result, it can be seen that health worker support is one of the factors that can affect a person's ability to manage diet patterns, and thus that there is a need for positive health worker support for diabetes mellitus patients in order to increase their ability to manage diet patterns and avoid uncontrolled increases in blood sugar levels or complications.
Edukasi Penggunaan Obat Analgetik dan Antipiretik Secara Rasional Sovia, Evi; Ratwita, Welly; Nugraha, Rhea Veda; Anggraeni, Dian; Rachman, Hidayatul
Jurnal Abdimas Kartika Wijayakusuma Vol 5 No 2 (2024): Jurnal Abdimas Kartika Wijayakusuma
Publisher : LPPM Universitas Jenderal Achmad Yani

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26874/jakw.v5i2.428

Abstract

Analgetik dan antipiretik merupakan salah satu obat yang sering dikonsumsi baik secara tunggal maupun kombinasi, tetapi obat-obat ini memiliki berbagai efek samping seperti kerusakan mukosa pada saluran gastrointestinal, disfungsi ginjal, kejadian kardiovaskuler (peningkatan risiko hipertensi, strok, dan serangan jantung), bahkan sampai kematian. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk memberikan edukasi tentang penggunaan obat analgetik dan antipiretik secara rasional. Metode yang digunakan adalah penyuluhan secara daring (webinar). Materi yang diberikan meliputi indikasi dan efek samping penggunaan analgetik dan antipiretik, klasifikasi obat-obat analgetik dan antipiretik dan cara menggunakan obat analgetik dan antipiretik secara bijak. Peserta webinar juga mengisi kuesioner tentang penggunaan obat analgetik dan antipiretik. Penyuluhan dihadiri oleh 233 orang, Sebagian besar perempuan (86,8%) dan berusia 21-30 tahun (79,8%). Hasil kuesioner menunjukkan hampir seluruh peserta webinar (94,8%) pernah mengonsumsi obat analgetik antipiretik. Obat analgetik antipiretik yang paling banyak dikonsumsi adalah parasetamol (93,6%), sedangkan tempat mendapatkan obat analgetik antipiretik terbanyak yaitu apotek (70,1%). Sebagian besar peserta webinar mengonsumsi obat analgetik antipiretik tanpa resep dokter (75,2%). Penyakit terbanyak yang menyebabkan peserta mengonsumsi obat analgetik antipiretik adalah panas badan (82,5%). Pengetahuan peserta mengenai efek samping obat analgetik antipiretik pada umumnya menjawab mual (65%). Pengetahuan masyarakat tentang penggunaan obat analgetik antipiretik masih perlu ditingkatkan.
Pengaruh Ukuran Perusahaan, Solvabilitas Dan Opini Audit Terhadap Audit Delay Pada Sektor Transportation, Logistic And Deliveries Di Indonesia Anggraeni, Dian; Hakim, Mohamad Zulman; Samara, Aldi; Rachellia, Rachellia; Regina, Regina; Tarissa, Tarissa; Algantya, Vylda Yuni
AKUNTOTEKNOLOGI : JURNAL ILMIAH AKUNTANSI DAN TEKNOLOGI Vol. 14 No. 2 (2022): AKUNTOTEKNOLOGI : JURNAL ILMIAH AKUNTANSI DAN TEKNOLOGI
Publisher : Universitas Buddhi Dharma/Fakultas Bisnis/Program Studi Akuntansi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31253/aktek.v14i2.1787

Abstract

Tujuan dalam penelitian ini untuk membuktikan secara empiris pengaruh ukuran perushaaan, solvabilitas dan opini audit terhadap audit delay. Populasi dalam penelitian ini menggunakan sektor transportation, logistic and deliveries periode 2019-2021. Teknik pengambilan sampel menggunakan purposive sampling, metode analisis menggunakan analisis deskriptif dan binary logistic. Hasil penelitian ini menunjukkan bahwa ukuran perusahaan tidak berpengaruh terhadap audit delay, solvabilitas berpengaruh positif terhadap audit delay dan opini audit tidak berpengaruh terhadap audit delay
Co-Authors Agnestia, Citra Agus Kusnawan Agus Permana Ahmad Kamsyakawuni Ahmad Mujaki Diwan Alfarisi, Muhammad Naufal Alfian Futuhul Hadi Algantya, Vylda Yuni Aliudin Aliudin - Aliudin Aliudin Aliudin Aliudin Aliudin Aliudin AM, Kartina Andriyani Andry Nirwanto Andy Andy Angelina Lucia Anggraeni, Ganung Anita Metta Sari Anjani, Anisa Fitri Anton Eka Prasetia Awalin, Qonita Ilmi Beatrice, Beatrice Dewi, Arina Kartika Dini Kartika Sari Dwi Irianto, Retno Dwi Putra, Candra Yanuar Dwi Putri Antika Eka Laelah Ernyasih Evi Sovia Fitria Riany Eris Frida Murtinasari, Frida Ginny, Puti Lenggo Gita Dwi Lestari Hakim, Mohamad Zulman Herijawaty, Etty Herlina Herlina I Made Tirta Ika Pratiwi jaka sumardyanto Jakobus Runkat, Jakobus Jaya, Asri Jejen Aripin Kamila, Andin Kurniati Kusnawan, Agus Laluur, Eugenius Lidia Sinabang Limajatini, Limajatini Liman, Ineh Masruroh MASRUROH Meisty, Ferisa Dwi Alfia Melatnerbar, Benyamin Meutia Meutia Meutia, Meutia Mohamad Fatekurohman Muhammad Dhabit Dzikribillah Muhammad Rizal Febriansah Munandar, Aris Netta Azzahra Pangesti Nia Ariani Putri Nugraha, Rhea Veda Nurmalia Lusida Oke Hendra Parameswari, Rinintha Peng Wi Prayogo, Rizky Rachellia, Rachellia Rachman, Hidayatul Ramadhani, Lutvia Citra Ratna Mega Sari Ratwita, Welly Regina Regina Rita Purnamasari Riza Fikriana Rizal, Navioer Robby Mubarok Roosje Rosita Oewen, Roosje Rosita Rosada, Nilta Roydatul Jamila Rudi hastomo rusbandi rusbandi, rusbandi Salampessy, Messalina L. Samara, Aldi Sanjaya, Marco Santamoko, Ruby Santomoko, Ruby Selfiyan Selfiyan Selfiyan Setiawan Sariyoga Setiawan Sariyoga, Setiawan Setiawan, Johan Shella Fajru Nailufar Silaswara, Diana Sofiyudin, Andriyatno Sri Fitriyah Stefen Wardana Suherna Suherna Suherna Suherna Sulistiyowati, Rina Syarief Hidayat Tarissa, Tarissa Taufik Hidayat Taufik Hidayat The, Lianah Tiara Muthiarsih Tirta, Made Ullah, Nasrullah Wi, Peng Winda Nurtiana Wiwik Handayani Wiwit Dwi Nurbadriyah yahya kamal Yohamintin Zulfatun Najah Zulfatun Najah