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All Journal International Journal of Electrical and Computer Engineering Physics Student Journal Jurnal EECCIS Natural B Journal of Engineering and Technological Sciences Science and Technology Indonesia JOIV : International Journal on Informatics Visualization Journal of Information Technology and Computer Science JMM (Jurnal Masyarakat Mandiri) Indonesian Physical Review JASIEK (Jurnal Aplikasi Sains, Informasi, Elektronika dan Komputer) Mitra Akademia: Jurnal Pengabdian Masyarakat Jurnal Nasional Teknik Elektro dan Teknologi Informasi Prisma Sains: Jurnal Pengkajian Ilmu dan Pembelajaran Matematika dan IPA IKIP Mataram
Agus Naba
Departemen Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Brawijaya
Humanities Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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Journal : Jurnal EECCIS

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Peramalan Beban Jangka Panjang Sistem Kelistrikan Kota Palu Menggunakan Metode K Logika Fuzzy Masarrang, Maryantho; Yudaningtyas, Erni; Naba, Agus
Jurnal EECCIS Vol 9, No 1 (2015)
Publisher : Jurusan Teknik Elektro, Fakultas Teknik, Universitas Brawijaya

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Abstract

Long-term load forecasting is intended to estimate the electrical load on an annual time period. It has an important role in the real control and security functions of an energy management system. This study is focused on designing long-term load forecasting in Palu electrical systems by using mamdani fuzzy logic method. The process of long term load forecasting is done by providings inputs; the number of customers, PDRB, and the power used for residences, businesses and public load at the previous year into the fuzzy logic system so that it is produced an output: the power used for the next year. The shows that mamdani fuzzy logic provide high level accuracy of forecasting and very small value of MSE.Index Terms:- fuzzy logic, MSE value, number of consumers, PDRB, the power used
Pemilihan Pemasok Bahan Mentah pada Restoran Menggunakan Metode Fuzzy Analytical Hierarchy Process Elta Sonalitha; M. Sarosa; Agus Naba
Jurnal EECCIS Vol 9, No 1 (2015)
Publisher : Fakultas Teknik, Universitas Brawijaya

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Abstract

Production in the restaurant is a continuous production that must be provided with uncertain request based on the consumer demand. Availability of raw materials is preferred to support the production process. In purchasing management it is often difficult to choose the right supplier of raw materials for each process order. The purpose of this research is to implement the method of Fuzzy Analytical Hierarchy Process (FAHP) in the Decision Support System (DSS) purchase of raw materials to suppliers. The addition of fuzzy logic in AHP is used to enhance the accuracy of subjectivity in the process of purchasing management assessment for each criteria and alternatives.The analysis includes a comparison with the results of manual calculations based SPK FAHP and accuracy of the final system with expert recommendations for the management of the purchase order process of DSS.The results showed an increase in profit of the accuracy of the selection of suppliers restaurant using FAHP method compared with the manual method. The analysis shows a significant difference when applied to the same material, fixed price of each supplier but different number of purchases, able to provide the difference in price which means lower costs and increase profits purchase.Index Terms — DSS, FAHP, Supplier Management, Order Management, Raw Material, FAHP.
Rancang Bangun Prototype Ciri Citra Kulit Luar Kayu Tanaman Karet menggunakan Metode Virtual Center Of Gravity Arief Bramanto Wicaksono Putra; Sholeh Hadi Pramono; Agus Naba
Jurnal EECCIS Vol 8, No 1 (2014)
Publisher : Fakultas Teknik, Universitas Brawijaya

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Abstract

Citra dijital kulit kayu tanaman karet memiliki tingkat kerapatan intensitas yang tinggi. Pola suatu citra dapat dikenali melalui proses analisis ciri. Ekstraksi ciri yang merupakan salah satu proses analisis ciri pada penelitian ini mengunakan metode Virtual Center Of Gravity (VCG) dengan segmentasi citra berbasis warna abu-abu (Gray Base) dan warna hitam putih (Contour Base). Prototype ciri yang dibangun berasal dari 3 (tiga) data citra yang telah melalui proses pemilihan data terbaik (best sample selection) sebagai proses pelatihan dengan menggunakan tenik coefficient correlation. Keputusan yang diharapkan adalah sebuah model klasifikasi usia produktifitas tanaman karet dengan menguji berbagai data citra uji terhadap prototype ciri dengan menggunakan pengukuran kemiripan dan jarak (similiarity measurement). Performance dari pengujian ini menggunakan pengukuran tingkat kesalahan (error analysis rate) dan pengukuran keberhasilan penentuan klasifikasi (Accuracy). Hasil penelitian ini menunjukkan bahwa dari maksimal 18 data pengujian yang terbagi menjadi maksimal 6 data valid image dan 12 data forgery image, dengan variasi pengujian sebanyak 5 kali pada setiap kategori diperoleh tingkat Accuracy terendah sebesar 77.78% dan tertinggi sebesar 85.19%.Kata Kunci — Performance, Prototype ciri, Segmentation Gray Base & Contour Base, Similarity measurement, Virtual Center of Grafity.
Penerapan Metode Hybrid Fuzzy C-Means dan Particle Swarm Optimization (FCM - PSO) E untuk Segmentasi Citra Geografis Herditomo Herditomo; Sunaryo Sunaryo; Agus Naba
Jurnal EECCIS Vol 8, No 1 (2014)
Publisher : Fakultas Teknik, Universitas Brawijaya

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Abstract

Beberapa lapisan dari Sistem Informasi Geografis (SIG) bisa dibedakan oleh mata telanjang dari sebuah citra satelit namun pasti akan melelahkan jika mengamati citra begitu banyak. Penelitian ini dilakukan untuk melakukan otomasi pengamatan dengan metode segmentasi. Metode segmentasi yang diusulkan adalah Hybrid Fuzzy C-Means – Particle Swarm Optimization (FCM-PSO). Hasil penelitian menunjukkan FCM-PSO lebih unggul dari FCM biasa sekalipun dengan kelemahan waktu eksekusi yang lebih panjang.Kata Kunci—FCM, PSO, Segmentasi, SIG
Bayesian Network Expert System for Early Diagnosis of Heart Diseases Mohamad Saad A.Sawa; Agus Naba; Harry Soekotjo Dachlan
Jurnal EECCIS Vol 7, No 2 (2013)
Publisher : Fakultas Teknik, Universitas Brawijaya

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Abstract

Heart disease is a deadly disease in the world. Some countries that have a high risk of death are America, Australia and England. It is difficult for a person do a medical checkup not only because of the financial matter but also because they don't care about it. This study is to help people on early diagnose to the risk of heart disease. Expert System is used as the basis of this study which is using Bayesian Network algorithms with datasets from previous studies conducted in Europe. The objective of this research are (1) to design knowledge base, inference engine with Bayesian network for early diagnose of heart diseases, (2) to develop web-based system that help people to get early diagnose of risk heart disease. This study was conducted by the help of a heart disease specialist and internist that helps validate the dataset and the results of research through application testing detection of heart disease risk. This result is consistent with the analysis that can be used by physicians and public.Index Terms—expert system, Bayesian network, heart disease, early diagnose.
Peramalan Beban Jangka Panjang Sistem Kelistrikan Kota Palu Menggunakan Metode K Logika Fuzzy Maryantho Masarrang; Erni Yudaningtyas; Agus Naba
Jurnal EECCIS Vol 9, No 1 (2015)
Publisher : Fakultas Teknik, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (452.374 KB)

Abstract

Long-term load forecasting is intended to estimate the electrical load on an annual time period. It has an important role in the real control and security functions of an energy management system. This study is focused on designing long-term load forecasting in Palu electrical systems by using mamdani fuzzy logic method. The process of long term load forecasting is done by providings inputs; the number of customers, PDRB, and the power used for residences, businesses and public load at the previous year into the fuzzy logic system so that it is produced an output: the power used for the next year. The shows that mamdani fuzzy logic provide high level accuracy of forecasting and very small value of MSE.Index Terms:- fuzzy logic, MSE value, number of consumers, PDRB, the power used
Analisis Jarak Microphone Array dengan Teknik Pemrosesan Sinyal Fast Fourier Transform Beamforming Moh. Fausi; Agus Naba; Djoko Santjojo
Jurnal EECCIS Vol 9, No 1 (2015)
Publisher : Fakultas Teknik, Universitas Brawijaya

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Abstract

The main problem in the application of the sound source detection is to estimate the angle of the wave or called as Direction Of Arrival (DOA) of Planewave. The method commonly to overcome the problem to utilize the sensor array by the data processing technique such as a beamforming technique. In this research was done by DOA estimation that used technique Fast Fourier Trasnfrom (FFT) beamformer with sensor configuration by Uniform Linear Array (ULA). The analysis has been to determine the distance of the array microphone that has DOA estimation with high accuration to the real source posisition. Based on the variation of distance of array microphone tested, shown the 6 cm is the bes distance which has the most dominant DOA estimation results with high accuracyKeywords : DOA , FFT Beamforming , Array sensor , ULA
Game Chicken Roll dengan Menggunakan Metode Forward Chaining Yogie Susdyastama Putra; M. Aziz Muslim; Agus Naba
Jurnal EECCIS Vol 7, No 1 (2013)
Publisher : Fakultas Teknik, Universitas Brawijaya

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Abstract

Metode forward chaining pada umumnya digunakan untuk sistem pendukung keputusan dan sistem pakar. Penelitian ini menggunakan algoritma forward chaining, khususnya untuk proses review dan untuk menentukan apakah seorang pemain game layak melanjutkan ke level berikutnya. Algoritma forward chaining adalah algoritma yang berbasiskan pada fakta-fakta atau premise yang ada sehingga menghasilkan sebuah kesimpulan atau konsekuen. Hasil pengujian menunjukkan bahwa nilai validitas mencapai 100%. Hasil didapat dari komparasi data antara rules dan hasil pengujian yang didapat saat bermain game.Kata Kunci : Game, Chicken Roll, Forward Chaining, Sistem Pakar, Sistem Pendukung Keputusan.
Klasifikasi Kendaraan Menggunakan Gaussian Mixture Model (GMM) dan Fuzzy Cluster K Means (FCM) Fitroh Amaluddin; M. Aziz Muslim; Agus Naba
Jurnal EECCIS Vol 9, No 1 (2015)
Publisher : Fakultas Teknik, Universitas Brawijaya

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Abstract

This paper describes how to record a moving object and save as new video files (* .avi), then filtering the moving objects (Vehicles) by using a Gaussian Mixture Model (GMM) with 2 types of distribution, i.e. Bacground and Foreground distribution. The shape of the foreground distribution is filtered by morphological operations and segmented by using Bit Large Object (BLOB) Segmentation to get the vehicle dimensions. Feature extraction results of these vehicles, will be used as data cluster for vehicles classification by using Fuzzy Cluster Means (FCM). Resulting experiments show good results with 91.3% of accuracy rate.Index Terms—GMM, BLOB, FCM, Classification.
Peramalan Penjualan Mobil Menggunakan Jaringan Syaraf Tiruan dan Certainty Factor Fachrudin Pakaja; Agus Naba; Purwanto Purwanto
Jurnal EECCIS Vol 6, No 1 (2012)
Publisher : Fakultas Teknik, Universitas Brawijaya

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Abstract

Prediksi penjualan adalah salah satu cara untuk meningkatkan laba perusahaan, peramalan diperlukan untuk menyetarakan antara perbedaan waktu yang sekarang dan yang akan datang terhadap kebutuhan, Jaringan Syaraf Tiruan (JST) dapat mengaplikasikan dengan baik metode peramalan.Pendekatan peramalan kuantitatif dengan metode times series akan menentukan nilai data masukan dari sekumpulan data serial atau berkala dari transaksi pada suatu jangka waktu tertentu. Data dibagi menjadi data pelatihan, pengujian dan validasi. Proses peramalan menggunakan metode certainty factor (CFf) sebagai nilai pembanding pada bobot koreksi yang telah di latih dalam jaringan backpropagation untuk prediksi yang optimal. Simulasi program peramalan penjualan mobil honda tahun 2015 dengan variabel input data penjualan daerah 30,000 unit, penjualalan dealer 25.000, penjualan tunai 25.000, CF = 0.5 dan kredit 19.000 menghasilkan ramalan penjualan sebanyak 29579 unit dengan target error 4,205 %.Kata Kunci—Peramalan, Time series, Certainty Factor, JST, Backpropagation.
Co-Authors Abdurrouf - Adi Susilo Adi Susilo Agung Teguh Wibowo Almais Agus Wahid Ahmad Nadhir Ahmad Riyad Firdaus Alfina Taurida Alaydrus Andrijani Sumarahinsih Ciptaningrum, Mega Satya D. J. Djoko Herry Santjojo Djoko Santjojo eko teguh purwito, eko teguh Elta Sonalitha Erni Yudaningtyas Fachrudin Pakaja Fajrin, Rahma Annisa Fatimah Kunti Hentihu, Fatimah Kunti Firdaus, Ahmad Kanzu Syauqi Fitroh Amaluddin Gayatri Dwi Santika Gumelar, Dito Ibrahim Hamles Leonardo Latupeirissa Hanafi, Muhammad Gusti Alif Zuhry Handono Kalim Hari Santoso Hari Santoso Hariyadi Soetedjo Harry Soekotjo Dachlan Herditomo Herditomo Hutasoit, Fania Putri Idmi, Mohammad Habibiy Ika Karlina Laila Nur Suciningtyas Ilham Ilham Imam Sholihuddin Juhari Juhari, Juhari Juwono, Alamsyah M. M. Aziz Muslim Maryantho Masarrang Maryantho Masarrang Mauludi Ariesto Pamungkas Mega Satya Ciptaningrum Moechammad Sarosa Moh. Fausi Mohamad Saad A.Sawa Mohammad Zoqi Sarwani, Mohammad Zoqi Muhammad Aziz Muslim Muhammad Fadlil Khoironi Muhammad Fathur Rouf Hasan Muhardi Purwanto Purwanto Ridwan Awalin Rizky Benny Relado, Rizky Benny Setyawan Purnomo Sakti Sri Herwiningsih Sugeng Rianto Suhayat Minardi Sunaryo Sunaryo Umi Salamah Wayan Firdaus Mahmudy Yogie Susdyastama Putra Yudianto, Didik Yuyun Yueniwati