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All Journal International Journal of Electrical and Computer Engineering Jurnal Teknologi Industri Pertanian Jurnal Komunikasi Pembangunan Jurnal Manajemen dan Organisasi Jurnal Manajemen dan Agribisnis Jurnal Pustakawan Indonesia Jurnal Reviu Akuntansi dan Keuangan JPTK: Jurnal Pendidikan Teknologi dan Kejuruan Jurnal Ilmu Komputer dan Informasi Jurnal Manajemen Teknologi Techno.Com: Jurnal Teknologi Informasi TELKOMNIKA (Telecommunication Computing Electronics and Control) PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Ilmu Komputer dan Agri-Informatika JAM : Jurnal Aplikasi Manajemen Indonesian Journal of Business and Entrepreneurship (IJBE) SITEKIN: Jurnal Sains, Teknologi dan Industri Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Edukasi dan Penelitian Informatika (JEPIN) Jurnal Pengelolaan Sumberdaya Alam dan Lingkungan (Journal of Natural Resources and Environmental Management) Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Scientific Journal of Informatics Journal of Consumer Science Edulib Jurnal Manajemen Teori dan Terapan Lentera Pustaka Sosio Konsepsia Proceeding of the Electrical Engineering Computer Science and Informatics JOIV : International Journal on Informatics Visualization Jurnal Pendidikan Informatika dan Sains Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Consumer Sciences Informatika Pertanian Syntax Literate: Jurnal Ilmiah Indonesia Jurnal Penjaminan Mutu Jurnal Gizi dan Pangan Soedirman (JGPS) Communications in Science and Technology Jurnal Informatika Universitas Pamulang Applied Information System and Management Jurnal Teknoinfo JAS-PT Jurnal Analisis Sistem Pendidikan Tinggi CYBERNETICS Petir Kwangsan: Jurnal Teknologi Pendidikan Jesya (Jurnal Ekonomi dan Ekonomi Syariah) Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika Jurnal Sistem Cerdas EDUMATIC: Jurnal Pendidikan Informatika Systematics Jurnal MEBIS (Manajemen dan Bisnis) JGISE-Journal of Geospatial Information Science and Engineering Journal Cerita: Creative Education of Research in Information Technology and Artificial Informatics Indonesian Journal of Electrical Engineering and Computer Science Journal of Information Technology and Its Utilization Journal of Applied Data Sciences Business Review and Case Studies International Journal of Engineering, Science and Information Technology International Journal of Social Service and Research Jurnal Pustakawan Indonesia Jurnal Sistem Informasi Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah Jurnal Sistem Informasi dan Aplikasi

Irman Hermadi

Computer Science Study Program, IPB University, IPB Darmaga Campus, Bogor, 16680, Indonesia

Author-ID : 280343

Agriculture, Biological Sciences & Forestry Humanities Astronomy Automotive Engineering 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 Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Physics Public Health Social Sciences Transportation Other

Published : 125 Documents Claim Missing Document

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Layout Optimization of Microsatellite Components Using Genetic Algorithm Mohammad Mukhayadi; Irman Hermadi; Soewarto Hardhienata
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 15, No 1: March 2017
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v15i1.3872

The placement of satellite components usually belongs to non-deterministic polynomial-time hard (NP-hard) problems that in terms of computational complexity is very difficult to solve. This problem is normally known as layout optimization problem (LOP). In this study the layout of microsatellite components has to meet the requirements set by mission payloads, launcher and spacecraft attitude control. The novel scheme is to find the various possibilities of optimal layout using genetic algorithms combined with order-based positioning technique (OPT). Each component has a given index and then placed in a container based on specific order of placements in accordance with a bottom-left (BL) algorithm that is already established. The placement order is generated by the genetic algorithm which explore various possibilities to obtain a sequence that brings the best solution.

Biometric Analysis of Leaf Venation Density Based on Digital Image Agus Ambarwari; Yeni Herdiyeni; Irman Hermadi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 4: August 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i4.7322

The density level in the leaf venation type has different characteristics. These different characteristics explain the environment in which plants grow, such as habitat, vegetation, physiology and climate. This research aims to measure of leaf venation density, leaf venation feature analysis and then identifying plants based on venation type. Stages of this research include leaf image data collection, segmentation, vein detection, feature extraction, feature selection, classification, evaluation and ending with analysis. The results of this study indicate that the level of leaf venation density is quite good is the type of venation paralellodromous, acrodromous and pinnate. Based on the selection of features using Boruta Algorithm, obtained 19 most important features that represent the type of leaf venation. This is reinforced by the average of accuracy produced at the time of classification using SVM, which amounted to 77.57%.

Plant species identification based on leaf venation features using SVM Agus Ambarwari; Qadhli Jafar Adrian; Yeni Herdiyeni; Irman Hermadi
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 2: April 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i2.14062

The purpose of this study is to identify plant species using leaf venation features. Leaf venation features were obtained through the extraction of leaf venation features. The leaf image segmentation was performed to obtain the binary image of the leaf venation which is then determined the branching point and ending point. From these points, the extraction of leaf venation feature was performed by calculating the value of straightness, a different angle, length ratio, scale projection, skeleton length, number of segments, total skeleton length, number of branching points and number of ending points. So that from the extraction of leaf venation features 19 features were obtained. Identification of plant species was carried out using Support Vector Machine (SVM) with RBF kernel. The learning model was built using 75% of the training data. The testing results using 25% of the data on the training model, obtained an accuracy of 82.67%, with an average of precision of 84% and recall of 83%.

Knowledge management system SOP using semantic networks connected with personnel information system: case study Universitas Singaperbangsa Karawang Intan Purnamasari; Irman Hermadi; Yani Nurhadryani
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 17, No 1: February 2019
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v17i1.9107

Document Standard Operating Procedures (SOP) can manage business processes and employee performance in an organization. This study aims to develop a system that can publish SOP documents automatically distributed to employees. In this study, an analysis of the relationship between SOP documents and employees is carried out so that it can be directly allocated to employees according to the position. Knowledge analysis of the relationship between SOP documents and employees is done using semantic network analysis. Semantic networks are used to analyze components of knowledge and the relationship between SOP documents and employees. The results of the report of the elements of knowledge and the relationship between SOP documents found 25 SOP documents were consisting of 6 types of central nodes with 156 child nodes and had 7 types of relations containing 207 relations. SOP knowledge management system is connected to the personnel information system (SIPEG) so that it makes it easier for users to find, accommodate, and manage the knowledge contained in SOP documents. System implementation is done using PHP programming language with CodeIgniter framework, Rest API, and MySQL database.

SCORING KEPUTUSAN PENENTUAN PUSAT PENGEMBANG ENERGI TERBARUKAN BERDASARKAN CLUSTER WILAYAH MENGGUNAKAN METODE SAWP Mustakim, Agus Buono dan Irman Hermadi
Jurnal Teknologi Industri Pertanian Vol. 25 No. 3 (2015): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar

According to energy law, the government Indonesia is required to develop alternative energy. It is also mandated to consider equalization of energy development for each region in taking decision. Simple Addictive Weighting (SAW) method was able to provide the best solution in determining decision and can be applied to determine the renewable energy center. The result was than reinforced by Weighting Product to normalize the so that reaches the absolute value equals 1 that was yielded based on eigen Analytic Hierarchy process method. That alternative Bagan Sinembah was chose with value of 0.8090 which has 25% of five alternatives. Besides that, to find out the possibility of alternative that was not chosen as primary alternative, of decision making in group by using K –Means Clustering method was used. The comparison between the result of main criteria LSP and HPP had the best trend in which contiguity value was 2.45% in SAW. The results concluded that the main criterion of LSP and HPP was not dominant criteria influence the absolute value final decision either by using SAW or WP. The potential energy that can be palm production including waste of shell, fiber frond, and an empty bunch will be 135% of electrical energy of Riau area. Keywords: analytical hierarchy process, k-means clustering, reneweble energy, simple additive weighting, weighting product

SISTEM PENDUKUNG KEPUTUSAN CERDAS KESESUAIAN LAHAN DENGAN JENIS TANAMAN PANGAN: STUDI KASUS KABUPATEN SIKKA Yanter Wilve Baly Woda, Irman Hermadi, dan Marimin
Jurnal Teknologi Industri Pertanian Vol. 29 No. 1 (2019): Jurnal Teknologi Industri Pertanian
Publisher : Department of Agroindustrial Technology, Bogor Agricultural University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24961/j.tek.ind.pert.2019.29.1.62

Sikka District is an area with a dry tropical climate. Most of the plants especially food crops in Sikka District depend on rainfall. The lack of rain coupled with the weather anomalies occurring in Sikka District make Sikka District categorised in the area threatened by food insecurity. Food crop cultivation often experiences obstacles, one of which is in determining the suitability of agricultural land for the advancement of certain food crops because the productivity of food crops depends on the quality of the area used. Therefore, this study aimed to develop a smart decision support system to determine land suitability with food crops. This study used a fuzzy analytic hierarchy process to determine the value of alternatives based on parameters that affect the relevance of the land with the type of food crop. The results showed that corn food crops were the best alternative crop with a value of 0.339 of the three alternative food crops studied and then use the method fuzzy inference system to calculate the amount of land suitability. Kopong Village and Geliting Village were the best villages with land suitability values 81.Keywords: fuzzy analytic hierarchy process, fuzzy inference system, intelligent decision support systems, land suitability

SISTEM PENDUKUNG KEPUTUSAN UNTUK PENGEMBANGAN AGROINDUSTRI PALA DI TALAUD Rillya Arundaa; Irman Hermadi; Daniel RO Monintja
Jurnal Manajemen & Agribisnis Vol. 14 No. 1 (2017): JMA Vol. 14 No. 1, Maret 2017
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Nutmeg (pala) is a plantation crop cultivated by the people of Talaud Islands, and it is one of the leading commodities in Talaud district. The main issue about the utilization of nutmeg is that there is no processing industry, so the utilization of nutmeg is not optimum. This condition could be the result of poor information and lack of decision making system that help stakeholders to decide on policy. The aim of this research is to design a decision support system (DSS) that can help business and government to make a decision related to planning and development of nutmeg agroindustry. The designed DSS consists of five models, namely, (1) location determination using Location Quotient (LQ) and Analytic Hierarchy Process (AHP) methods, (2) agroindustry products determination using AHP, (3) institutional determination using AHP, (4) market forecasting using linear regression, and (5) financial analysis using investment criterion. The development of DSS refers to research stages of System Development Life Cycle (SDLC) and uses an Object Oriented (OO) approach. This research has successfully designed a web-based decision support system to develop nutmeg agroindustry in Talaud. This system could help the users to process an alternative for nutmeg agroindustry development in Talaud because the assessment has been computerized and can be accessed anywhere through the internet.Keywords: agroindustry, analytic hierarchy process, nutmeg, object-oriented, SDLCAbstrakTanaman pala merupakan salah satu komoditas perkebunan yang banyak diusahakan oleh masyarakat Talaud dan merupakan komoditas unggulan Kabupaten Kepulauan Talaud. Masalah utama yang terjadi adalah belum adanya industri pengolahan pala sehingga turunan buah pala seperti daging buah belum diolah dengan baik. Permasalahan tersebut disebabkan oleh kelangkaan informasi dan tidak adanya perangkat pengambil keputusan yang dapat membantu para stakeholder untuk menentukan kebijakan yang perlu dilaksanakan. Penelitian ini bertujuan membangun sebuah sistem penunjang keputusan (SPK) sehingga dapat membantu pelaku usaha dan pemerintah dalam mengambil keputusan yang berhubungan dengan perencanaan dan pengembangan agroindustri pala. SPK yang dibangun terdiri dari lima basis model yaitu (1) penentuan lokasi menggunakan metode Location Quotient (LQ) dan Analytic Hierarchy Process (AHP), (2) penentuan produk agroindustri menggunakan metode (AHP), (3) penentuan kelembagaan menggunakan metode AHP, (4) perkiraan pasar dengan metode regresi linier dan (5) analisis kelayakan finansial dengan menggunakan kriteria-kriteria investasi. Pengembangan SPK akan menggunakan pendekatan mengacu pada tahapan penelitian System Development Life Cycle (SDLC) dan menggunakan pendekatan pengembangan sistem Object Oriented (OO). Penelitian ini telah berhasil membangun sistem pendukung keputusan berbasis web untuk pengembangan agroindustri pala di Talaud. Sistem ini, memudahkan pengguna untuk proses penentuan alternatif pengembangan agroindustri pala di Talaud karena proses penilaian sudah dilakukan secara terkomputerisasi dan dapat diakses di berbagai tempat yang memiliki akses internet.Kata kunci: agroindustri, analytic hierarchy process, object-oriented, pala, SDLC

Performance Comparison Between Support Vector Regression and Artificial Neural Network for Prediction of Oil Palm Production Mustakim Mustakim; Agus Buono; Irman Hermadi
Jurnal Ilmu Komputer dan Informasi Vol 9, No 1 (2016): Jurnal Ilmu Komputer dan Informasi (Journal of Computer Science and Information)
Publisher : Faculty of Computer Science - Universitas Indonesia

The largest region that produces oil palm in Indonesia has an important role in improving the welfare of society and economy. Oil palm has increased significantly in Riau Province in every period, to determine the production development for the next few years with the functions and benefits of oil palm carried prediction production results that were seen from time series data last 8 years (2005-2013). In its prediction implementation, it was done by comparing the performance of Support Vector Regression (SVR) method and Artificial Neural Network (ANN). From the experiment, SVR produced the best model compared with ANN. It is indicated by the correlation coefficient of 95% and 6% for MSE in the kernel Radial Basis Function (RBF), whereas ANN produced only 74% for R2 and 9% for MSE on the 8th experiment with hiden neuron 20 and learning rate 0,1. SVR model generates predictions for next 3 years which increased between 3% - 6% from actual data and RBF model predictions.

Studying The Determinants of Intention To Use Tokopedia for SMEs Agribusiness Products Purchase Lufebrina Dorma Uli Manalu; Irman Hermadi; Joko Ratono
Indonesian Journal of Business and Entrepreneurship (IJBE) Vol. 6 No. 1 (2020): IJBE, Vol. 6 No. 1, January 2020
Publisher : School of Business, IPB University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/ijbe.6.1.1

Toko Laurike located in Bogor Regency, is a member of the small-medium enterprises (SMEs) group. It produces Virgin Coconut Oil (VCO) and sells its products through several e-marketplaces, namely Tokopedia, Bukalapak, and Elevenia. Among these e-marketplaces, Tokopedia sells product from Toko Laurike more than Bukalapak or Elevenia. This research aims to examine the factors that determine Consumers’ intention to use of Tokopedia specifically for SMEs’ food agribusiness products in the form of liquid and gel. This research also analyzed the pattern of design and security perceived ease of use and perceived usefulness. The other purpose is analyzing the contribution of security, perceived ease of use, perceived usefulness on consumers’ intention to use. Data analysis tool using structural equation modeling - partial least squares (SEM-PLS) based on stimulus theoretical framework technology acceptance model (STF-TAM). The study involved Tokopedia’s users who making purchasing for SMEs food agribusiness products in the form of liquid and gel. The 71 samples were collected. The results showed that perceived ease of use is most influencer among these factors. Design and security associated with perceived ease of use. Security was not associated with consumers’ intention to use. The result can be used by Laurike to enhance e-commerce performance. Keywords: Laurike’s e-commerce, SMEs, SEM-PLS, STF-TAM, Tokopedia

Evaluation of The 1office-Integrated System Using an Adaptation to The Delone and Mclean Success Model Bayu Dewantoro; Irman Hermadi; Joko Ratono
Indonesian Journal of Business and Entrepreneurship (IJBE) Vol. 5 No. 3 (2019): IJBE, Vol. 5 No. 3, September 2019
Publisher : School of Business, IPB University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/ijbe.5.3.275

This study aimed to evaluate the successful implementation of 1Office integration system at PT Grundfos Indonesia by an adaptation to DeLone and McLean model. The 1Office is a system that should be applied in all Grundfos's companies, according to the instructions from its headquarter. There are 6 variables to evaluate in the DeLone and McLean model, namely Service Quality, System Quality, Information Quality, Use, User Satisfaction and Net Benefits. Using a quantitative approach, questionnaires were used as a technique for data collection. The data obtained then was analyzed using SEM PLS (Structural Equation Modeling Partial Least Square) and purposive sampling on 60 users. The results showed that Service Quality has a positive effect on Use and User Satisfaction, so does System Quality on User Satisfaction. Furthermore, User Satisfaction has a positive influence on Net Benefits as the effectiveness of using information systems, which has an impact on user groups, organisations, suppliers, and customers at PT. Grundfos Indonesia.Keywords: 1Office system, DeLone and McLean model, PT Grundfos Indonesia, SEM PLS

Co-Authors A.Muh.Yakin Amin Abdul Mufti Addini Yusmar Agus Ambarwari Agus Buono Agus Mulyana Agustian, Fajar Ahmad, Tarmizi Aji Fajar Nugraha Alfiansyah Halomoan Siregar Alfy Sukma Alvian Abdul Jabar Amalia Rahmawati Anak Agung Gede Sugianthara Anak Agung Istri Sri Wiadnyani Andi Irman Patiroi Anggraini Sukmawati Annisa Saraswati Aprilianti, Dhila Arief Daryanto Arief Samad Arif Imam Suroso Arif Imam Suroso Aristi Imka Apniasari Arkeman, Yandra Astuti, Indah Puji Aulia Rahman Nasution Auzi Asfarian Auzi Asfarian Aziz Kustiyo Barlianto, Agus Bayu Dewantoro Budhi Hascaryo Iskandar Cahyandaru, Paulus Chandra, Mohamad Citra, Suryati Oka Daniel RO Monintja Dean Apriana Ramadhan Dodik Briawan Dyah Umiyarni Purnamasari Eddy Prasetyo Nugroho Elfrida Ratnawati Eneng Tita Tosida Erizal , Erus Effendi Erydhani, Gama Batara Euis Sunarti Euis Sunarti Fajar Agustian Fajar Delli Wihartiko FAJAR NUGROHO Fatimah Ahmad, Hafidlotul Fatimah, Hilmi Azmi Faza Adhzima Feriadi Feriadi, Feriadi Firman Ardiansyah Firmansyah Ibrahim Guritno, Hanif Bagus Hani Zulfia Zahro Hardhienata, Medria Hardhienata, Medria Kusuma Dewi Hasan Firdaus Hasanah , Nur Hatmoko, Bondan Dwi Heliza Rahmania Hatta, Heliza Rahmania Hendro Sasongko Heru Sukoco HUSNUL KHOTIMAH I Gusti Made Teddy Pradana I Gusti Ngurah Antaryama I Nyoman Rai Widartha Kesuma Ibrahim, Firmansyah Ikeu Tanziha Illah Sailah Imam Ahmad Imam W Sukoco Imas Sukaesih Sitanggang Indah Pratiwi Indah Puji Astuti Indah Puji Astuti Indah Yuliasih Indra Jaya Indra Jaya Indra Kusuma Budiyanto , Firgiawan Indrajani Sutedja Intan Purnamasari Irfan Syauqi B. Irma Rosalina Irwansyah Saputra Irzal Effendi Iskandar, Teddy Ivanovich Agusta Jaman, Jajam Haerul Joko Ratono Joko Ratono Kahfi Heryandi Suradiradja Karlisa Priandana Kesuma, I Nyoman Rai Widartha Kikin H Mutaqin Kudang Boro Seminar Lilik Kustiyah Lufebrina Dorma Uli Manalu Luki Abdullah M. Syamsul Maarif M. Syamsul Ma’arif Maman Turjaman Marulitua, Michael Yakub Meidhianto Usman Meidhianto Usman Melva Linda Aritonang Meuthia Rachmaniah Meuthia Rachmaniah Mohammad Mukhayadi Muhamad Ramdani, Risma Muhamad Syukur Mukhlis Mukhlis Mulyono, Pudji Mustakim Mustakim Mustakim Mustakim Nadia Nur Soraya Nasution, Efrida Yanti Nia Kurniati Nimmi Zulbainarni Noorlela Marcheta Novi Murdiyanti Nugraha Edhi Suyatma Nugroho, Arga Agung Nupin, Iswadi Syahrial Nur Arifin Akbar Nurhardryani, Yani Nuryantika, Fitria Prayughi, Pungki Primasari, Angela Pudji Muljono Pungki Prayughi Puput Irfansyah Putri Yuli Utami Qadhli Jafar Adrian R. Rifa Herdian Raden Asri Ramadhina Fitriani Ramadhan, Jeri Rein Suadamara Rillya Arundaa Rinova Budiman Riyanto Rizal Broer Bahaweres Robi Priyadi RR. Ella Evrita Hestiandari Rudi Afnan Safuan Safuan Santi Santika Santi Santika, Santi Saputra, Irwansyah Sari, Dewi Intan Sarwititi Sarwoprasodjo Setyadi, Wawan Shelvie Nidya Neyman Sitanggang, Imas S. Siti Zubaidah Soewarto Hardhienata Sony Hartono Wijaya Sri Nurdiati Sri Wahjuni Subhan Deni Hermawan Sukarna Sukarna Suradiradja, Kahfi Heryandi Susy Katarina Sianturi Susy Katarina Sianturi Sutedja, Indrajani Suwanto Sanjaya Suyus Windayana Sylvia Taufik Djatna Teddy Iskandar Tendy Arya Pranata Thoyyibah Tanjung Tiana, Ade Hikma Tiurma Lumban Gaol Toto Haryanto Ufan Alfianto Ujang Sumarwan Vidy Nalendra Wahjuni, Sri Widiatmaka Wisnu Ananta K. Wisnu Ananta Kusuma Yamin, Fadhilah Bt Mat Yandra Arkeman Yandra Arkeman Yani Nurhadryani Yanto Hermawan Yessy Yanitasari Yudhi Septianto Yudhi Trisna Atmajaya Yuni Sugiarti Yuni Sugiarti, Yuni Yusra Fernando Zenal Asikin

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