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All Journal Media Statistika CAUCHY: Jurnal Matematika Murni dan Aplikasi Journal of Economics, Business, & Accountancy Ventura Jurnal Mahasiswa Statistik JAM : Jurnal Aplikasi Manajemen Journal of Innovation and Applied Technology Jurnal Pembangunan dan Alam Lestari Jurnal Teknologi Informasi dan Ilmu Komputer Journal of Natural A Jurnal POINTER AGRIVITA, Journal of Agricultural Science Civil Engineering Journal BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) JSMARTech : Journal of Smart Bioprospecting and Technology Asian Journal of Health Research Journal of International Conference Proceedings
Solimun, Solimun
Fakultas MIPA Universitas Brawijaya
Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Electrical & Electronics Engineering Energy Engineering Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Neuroscience Physics Public Health Transportation

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ANALISIS CLUSTER KOMPONEN UTAMA NONLINIER DAN ANALISIS TWO STEP CLUSTER UNTUK DATA BERSKALA CAMPURAN Azizah, Maulida; Soehono, Loekito Adi; Solimun, Solimun
Jurnal Mahasiswa Statistik Vol 2, No 1 (2014)
Publisher : Jurnal Mahasiswa Statistik

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PENERAPAN ANALISIS MULTIDIMENSIONAL SCALING DENGAN PENDEKATAN BERBASIS KOMPOSISI Utama, Risha Ardasari; Solimun, Solimun; Theresia Mitakda, Maria Bernadetha
Jurnal Mahasiswa Statistik Vol 2, No 2 (2014)
Publisher : Jurnal Mahasiswa Statistik

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Deteksi Wajah Manusia pada Citra Menggunakan Dekomposisi Fourier Dewi Yanti Liliana; Muh. Arif Rahman; solimun solimun
Journal of Natural A Vol 1, No 1 (2013)
Publisher : Fakultas MIPA Universitas Brawijaya

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Pada dua dekade ini banyak dilakukan penelitian yang berhubungan dengan identifikasi dan pengenalan wajah. Wajah adalah bagian dari manusia dan merupakan bagian yang dapat dibedakan dengan manusia lainnya. Ada beberapa pendekatan dalam penelitian wajah yaitu secara geometri, template, dan karakteristik obyek wajah. Salah satu penelitian berbasis karakteristik obyek wajah adalah dengan menggunakan transformasi avelet. Terdapat kesamaan dan ketidak samaan antara transformasi wavelet dan transformasi Fourier. Dengan memperhatikan keunggulan masing-masing maka penelitian ini memfokuskan diri pada pengenalan obyek wajah menggunakan karakteristik obyek wajah yaitu dengan menggunakan dekomposisi Fourier.
Pengenalan Wajah Menggunakan Nilai Varian Obyek Wajah Muh Arif Rahman; Solimun S
Jurnal POINTER Vol 2, No 1 (2011): Jurnal Pointer - Ilmu Komputer
Publisher : Ilmu Komputer, Universitas Brawijaya

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Abstract

ABSTRAK Terdapat banyak algoritma pengenalan wajah yang dikembangkan diantaranya adalah algoritma principal componen analysis (PCA), Independen component analysis, Linear Discriminant Analysis (LDA). Beberapa algoritma lainnya merupakan kolaborasi dengan algoritma lainnya misal algoritma EigenSpace (EP) memuat algoritma genetika pada setiap iterasinya, algoritma Elastic Bunch Graph Matching (EBGM) memetakan data wajah menggunakan teori graph. Dari semua metode tersebut terdapat beberapa kelemahan mendasar yaitu pembuatan data latih yang digunakan sebagai database wajah memerlukan komputasi yang cukup besar. Penelitian ini mengusulkan algoritma baru pengenalan wajah berdasarkan nilai varian pada masing-masing obyek wajah yang dibatasi pada obyek mata, hidung dan bibir sedemikian hingga menghindari perhitungan seluruh obyek wajah. Pengenalan tersebut memerlukan sejumlah data latih untuk obyek mata, hidung dan bibir. Pada setiap data latih akan dibuat template window untuk wajah. Template windows tersebut memuat koordinat dari mata (kiri-kanan), hidung dan bibir. Hasil pengujian menunjukkan bahwa kinerja algoritma yang diusulkan ternyata memberikan hasil yang lebih buruk dibandingkan dengan metode LDA dan PCA. Hasil ini dipengaruhi oleh pemilihan nilai threshold serta kualitas citra yang diuji.
THE PERCEPTION OF INDIVIDUAL AND ORGANIZATIONAL CAREERS IN INCREASING THE ORGANIZATIONAL COMMITMENT Rahmi Widyanti; Armanu Thoyib; Margono Setiawan; Solimun Solimun
Journal of Economics, Business, & Accountancy Ventura Vol 15, No 2 (2012): August 2012
Publisher : STIE Perbanas Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14414/jebav.v15i2.77

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Organization commitment is very important for individuals working in any organization.Therefore, considering individuals and the perception toward the careers is really important.This study determines the direction of influence of basic individual careers and career developmentprograms on job satisfaction and organizational commitment. This research conducteda survey on Private Higher Education teaching staff of Kopertis (private higher educationcoordinator) Borneo in Banjarmasin. The data from 60 respondents were analyzedusing the Partial Least Square (PLS) to examine the relationship among variables basic individualcareers and career development programs that have a significant and positive impacton job satisfaction and organizational commitment. The results showed that the basic individualcareers and career development programs affect organizational commitment and jobsatisfaction. In addition, it is also proved that job satisfaction mediate the increasing organizationalcommitment.
Automatic Differentiating of Postharvest Banana Fruits with High Traits Using Imagery Data Candra Dewi; Wayan Firdaus Mahmudy; Solimun Solimun; Endang Arisoesilaningsih
AGRIVITA, Journal of Agricultural Science Vol 44, No 2 (2022)
Publisher : Faculty of Agriculture University of Brawijaya in collaboration with PERAGI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17503/agrivita.v44i2.3648

Abstract

Visually differentiating banana cultivar with high similarity in shape, color and peel texture requires skill and experience during harvesting to reduce mistake on identifying cultivar. This study aims to identify automatically some similar banana cultivars using banana finger imagery and computer vision. The identification process was carried out to distinguish two groups of bananas with high similarities, namely group 1 (Ambon, Hijau, Goroho) and group 2 (Barlin, Mas). The test was conducted on the pair of datasets of unripe Ambon-Hijau-Goroho, ripe Hijau-Goroho, ripe and unripe Barlin-Mas. Testing was done to determine the performance of identification and to find out the most effective characteristics that could be used as cultivar identification. Results of classification using extreme learning machine (ELM) showed that texture features extracted from local binary pattern (LBP) could accurately distinguish unripe Ambon-Goroho, unripe Goroho-Hijau, ripe Goroho-Hijau with 100% accuracy. While unripe Ambon-Hijau, unripe Barlin-Mas and ripe Barlin-Mas could be optimally distinguished using a combination of shape and peel texture features with accuracy of 93.39%, 89.68%, 99.31% respectively. This result indicated that the proposed method could be used as an alternative of automatic banana sortation during post-harvest. The use of shape and peel texture features had shown effectively differentiating these high similarity banana cultivars.
FACTORS AFFECTING THE SUCCESS OF REGIONAL DEVELOPMENT BANK (BPD) TRANSFORMATION IN INDONESIA IN 2024 Firman Iswahyudi Mustopo; Budiyanto Budiyanto; Solimun Solimun
Journal of International Conference Proceedings (JICP) Vol 2, No 1 (2019): Proceedings of the 3rd International Conference of Project Management (ICPM) Bal
Publisher : AIBPM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32535/jicp.v2i1.427

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The transformation program of Regional Development Bank (BPD) was created to overcome its problems. The success of the transformation of Regional Development Bank is influenced by several factors. This paper discusses several factors that are thought to influence the transformation of BPD, namely: regional economic growth, learning and growth perspective, nation's culture, organizational culture, public policy, bank health level, regional autonomy (Otoda), BPD leadership style, and BPD sustainable competitive advantage. The results of the study show that the factors that significantly influence the success of BPD Transformation in Indonesia in 2024 are learning and growth perspective, nation’s culture, organizational culture, public policy, bank health level, regional autonomy and BPD sustainable competitive advantage. The nation’s culture variable acts as the strongest driver and BPD sustainable competitive advantage variable is the strongest obstacle to the success of BPD transformation in Indonesia in 2024.
Relationship between Knowledge and Attitude with Treatment Delay in Stadium IV Colorectal Cancer Patients Zaki Yamani; Aries Budianto; Solimun Solimun
Asian Journal of Health Research Vol. 2 No. 1 (2023): Volume 2 No 1 (April) 2023
Publisher : Ikatan Dokter Indonesia Wilayah Jawa Timur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55561/ajhr.v2i1.64

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Introduction: Colorectal cancer is the fourth most common cancer in the world. Stage IV colorectal cancer are often late for treatment and have poor prognosis. Knowledge and attitude factors are known to play a role in treatment delay. Therefore, this study aims to determine the relationship between knowledge and attitudes on treatment delay of stage IV colorectal cancer patients at Saiful Anwar Hospital, Malang (RSSA). Material and Methods: The research design was a cause-effect retrospective study conducted at RSSA from June 2021 to December 2021. Measurement of patient knowledge and attitudes using questionnaires while patient delays in seeking treatment are obtained from medical records. Statistical analysis using structural equation modelling (SEM) using the WarpPLS application with a significance level of p<0.05. Results: The result of this research indicated that the knowledge of symptoms is associated with the patient's anxiety attitude (p<0.01; r=-0.31) and attitude to screening (p=0.03; r=0.21). Knowledge of a healthy lifestyle was associated with attitudes to screening (p<0.01; r=0.27). Screening attitude was associated with treatment delay in colorectal cancer patients (p<0.01; r=-0.42). Conclusion: The conclusion is the knowledge and attitudes of patients about colorectal cancer are associated with the treatment delay. Increasing knowledge and attitudes of patients can reduce the treatment delay on stage IV colorectal cancer patients to come to RSSA.
Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means Agus Fachrur Rozy; Solimun Solimun; Ni Wayan Surya Wardhani
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 10 No 5: Oktober 2023
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25126/jtiik.20231057505

Abstract

Prediksi adalah suatu pendekatan yang digunakan untuk mengantisipasi ketidakpastian masa depan. Metode prediksi konfensional terkendala pada penyesuaian data terhadap asumsi yang digunakan sehingga diperlukan Metode Weighted Fuzzy Time Series. Meskipun metode WFTS telah terbukti efektif terdapat tantangan dalam meningkatkan akurasi peramalan yang dihasilkan. Dua teknik yang sering digunakan dalam konteks ini adalah Algoritma Evolusi Differensial (ED) dan Fuzzy C-Means (FCM). Data yang digunakan pada penelitian ini adalah Jakarta Islamic Index (JKII) per bulan dari bulan Agustus 2018 hingga Juli 2023. Data yang digunakan adalah data sekunder yang diperoleh dari situs www.yahoo.finance.com. Analisis dilakukan untuk meningkatkan akurasi dari metode peramalan WFTS dengan klasifikasi FCM dan proses optimalisasi menggunakan hasil forecasting dengan Algoritma Evolusi Diffensial (DE).Hasil klasifikasi dengan Fuzzy C-Means, ditemukan 7 klaster dengan jumlah keanggotaan yang berbeda. Perhitungan nilai peramalan dilkakukan dengan defuzzyfikasi dengan mengubah variabel linguistik menjadi bilangan real. Proses transformasi ini melibatkan perkalian antara bobot yang diperoleh dari estimasi Fuzzy C Means dengan nilai titik tengah pada setiap cluster. Proses optimalisasi hasil dilakukan dengan menggunakan algoritma DE dapat meningkatkan akurasi dari forecasting. Kesimpulan yang didapat yaitu algoritma evolusi differensial dapat meningkatkan akurasi forecasting dari metode weighted fuzzy time series dengan kombinasi pembentukan kelas interval menggunakan metode fuzzy c-means. Hal ini dikarenakan nilai MAPE yang dihasilkan dari algoritma evolusi differensial lebih kecil daripada model weighted fuzzy time series.   Abstract Prediction is a form of approach in anticipating future uncertainties. Conventional prediction methods encounter difficulties in adapting data with the assumptions used, necessitating the application of the Weighted Fuzzy Time Series (WFTS) method. Although the WFTS method has proven effective, there are challenges in improving the accuracy of the generated forecasts. There are two commonly applied approaches: the Differential Evolution (DE) algorithm and Fuzzy C-Means (FCM). The data used in this research is the Jakarta Islamic Index (JKII) on a monthly basis from August 2018 to July 2023. The information collected is secondary data obtained from the website www.yahoo.finance.com. The analysis conducted involves performing FCM classification to form interval classes and optimizing the forecasting results of the WFTS method with DE. The Fuzzy C-Means classification resulted in finding 7 clusters with different membership counts. Forecasting values are calculated through defuzzification by converting linguistic variables into real numbers. This transformation process involves multiplying the weights obtained from the Fuzzy C-Means estimation with the mid-point values of each cluster.The optimization process is performed using the DE algorithm. The research findings conclude that the use of the differential evolution algorithm improves the accuracy of the forecasting from the Weighted Fuzzy Time Series method with the approach of combining interval class formation through the Fuzzy C-Means method. The DE algorithm works by seeking the best solution in a complex parameter space through iterations and performance evaluations, thereby significantly enhancing the performance of the forecasting model.
Green Construction and Local Wisdom Integration for Sustainability: A Systematic Literature Review Sri Kristinayanti, W.; Zaika, Yulvi; Padma Devia, Y.; Solimun, .; Agung Wibowo, M.
Civil Engineering Journal Vol 10, No 11 (2024): November
Publisher : Salehan Institute of Higher Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28991/CEJ-2024-010-11-020

Abstract

The construction industry's environmental impact necessitates a sustainable shift to mitigate resource depletion, emissions, and biodiversity loss. Integrating local wisdom offers innovative, adaptive solutions grounded in deep environmental understanding, potentially transforming construction practices toward sustainability. This study aims to identify aspects, challenges, impacts, and strategies in green construction practices integrated with local wisdom. The PRISMA framework methodology was used to conduct a comprehensive systematic review with qualitative analysis using NVivo software. Nine aspects of green construction integrated with local wisdom were identified, with cultural heritage preservation the dominant aspect. Eleven challenges were uncovered, with balancing tradition and innovation as the main challenges. Seven impacts on the economy, society, and environment were identified, with construction cost efficiency, improvement of community quality of life, and promotion of a circular economy and sustainable waste management as the dominant impacts. Thirteen strategies were identified, with active engagement of local communities in the construction process as the main strategy. The novelty of this research is a comprehensive review of the integration of green construction with local wisdom, which can be used as a guide in sustainable construction practices responsive to local environmental and social conditions and promote economically, socially, and environmentally sustainable development. Doi: 10.28991/CEJ-2024-010-11-020 Full Text: PDF
Co-Authors Achmad Efendi Adji Achmad Rinaldo Fernandes Agus Fachrur Rozy Agustina, Evi Lusi Al Jauhar, Hafizh Syihabuddin Ali Djamhuri Alim, Viky Iqbal Azizul Amanda, Devi Veda Angga Dwi Mulyanto Arief Rachmansyah Aries Budianto Arini, Luthfia Hanun Yuli Armanu Thoyib Armanu Thoyib Asaliontin, Lisa Atiek Iriany Azizah, Amelia Nur Azizah, Maulida Bambang Semedi Bonifasia Elita Bharanti Budiyanto Budiyanto Candra Dewi Devi Veda Amanda Dewi Yanti Liliana Dirman, Eris Nur Djumahir .. Djumilah Hadiwidjojo Djumilah Zain Endang Arisoesilaningsih Endang Setyawati Eni Sumarminingsih Eni Sumarminingsih Fernandes, Adji Achmad Rinaldo Fimba, Adfi Bio Firman Iswahyudi Mustopo Hafizh Syihabuddin Al Jauhar Halim .. Hamdan, Rosita Hamdan, Rosita Binti Handoyo, Samingun Hardianti, Rindu Ida Nur Hidayati Ida Nur Hidayati Istiqomah, Nur Junainto, Fachira Haneinanda Junianto, Fachira Haneinanda Kurniasari, Lia Lisa Asaliontin Loekito Adi Soehono Loekito, Loekito Luthfatul Amaliana, Luthfatul M. Agung Wibowo, M. M.S Idrus Made Subudi Margono S. Margono Setiawan Meirina, Risk Mintarti Rahayu Mitakda, Maria Bernadetha Mohammad Ohid Ullah Mudjiono Mudjiono, Mudjiono Muh. Arif Rahman Muh. Arif Rahman Musran Munizu Ni Wayan Surya Wardhani Ni Wayan Surya Wardhani Ni Wayan Surya Wardhani Nuddin Harahab Nurjannah Nurjannah Nurjannah Padma Devia, Y. Papalia, M. Fikar Permatasari, Kiky Ariesta Pramaningrum, Dea Saraswati Pratama, Yossy Maynaldi Pusaka, Semerdanta Qomariyatus Sholihah Rahma Fitriani Rahma Fitriani Rahmanda, Lalu Ramzy Rahmi Widyanti Ramadhan, Rangga Ramifidiosa, Lucius Rejeki, Sasi Wilujeng Sri Rinaldo Fernandes, Adji Achmad Rohma, Usriatur Rohman, Muhammad Zainur Saputra, Yoyok Yuni Sepriadi, Hanifa Suci Astutik Sumara, Rauzan Sumarminingsih, Eni Surachman .. Theresia Mitakda, Maria Bernadetha ubud sallim Ullah, Mohammad Ohid Usriatur Rohma Utama, Risha Ardasari Utomo, Candra Rezzining Wulat Sariro Weni Wayan Firdaus Mahmudy Wayan Sri Kristinayanti Yulianto, Shalsa Amalia Yulvi Zaika Zaki Yamani Zamelina, Armando Jacquis Federal