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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
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

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Analisis Dan Perancangan Sistem Informasi Manajemen Pendidikan Dan Pelatihan Pada Pusdiklat Perpustakaan Nasional Menggunakan TOGAF Yudhi Trisna Atmajaya; Wisnu Ananta Kusuma; Irman Hermadi
Jurnal Pustakawan Indonesia Vol. 15 No. 1-2 (2016): Jurnal Pustakawan Indonesia
Publisher : Perpustakaan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (711.552 KB) | DOI: 10.29244/jpi.15.1-2.%p

Abstract

Information and communication technology (ICT) has been implemented in almost every division at the National Library. This implementation is supported by Undang-Undang Nomor 43 tentang Perpustakaan. The aim of using ICT is to improve working performance and services of National Library. Pusat Pendidikan dan Pelatihan (Pusdiklat) is one of divisions that has not fully implemented ICT yet to increase the training quality and quantity, therefore management information system is required to support decision making related to the training. This research objective is to design a management information system using enterprise architecture framework, TOGAF. TOGAF provides a flexible framework to accommodate management information system design according to the organization’s vision, mission and goals. This research yielded a blueprint of management information system of training’s program and evaluation. It is expected that this blueprint could be used to guide the development of management information system in Pusdiklat.Keyword: Enterprise Architecture Framework, Management Information System, TOGAF, UML
EFEKTIVITAS PENERAPAN APLIKASI WEB 2.0 UNTUK MENINGKATKAN PEMBELAJARAN ORGANISASI DI PERPUSTAKAAN UNIVERSITAS PENDIDIKAN INDONESIA Santi Santika; Pudji Muljono; Irman Hermadi
Jurnal Pustakawan Indonesia Vol. 16 No. 1 (2017): Jurnal Pustakawan Indonesia
Publisher : Perpustakaan IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (794.469 KB) | DOI: 10.29244/jpi.16.1.%p

Abstract

AbstractIndonesia University of Education (IUE) Library is required to continuously improve organizational learning so that the determinedquality policy is achieved. Organizational learning can work well if there is a media or device that can store, share and retrieve knowledgeof IUE library human resources that is currently stored on every individual. Web 2.0 technology is an application that can be used asa medium because it has the characteristics of read and write, and has the flexibility of the time of use. Web 2.0 technology is also analternative media that can be applied in IUE Library because 91% human resources of IUE Library using the Internet. Therefore, this study aims to find out Web 2.0 applications that can facilitate organizational learning in IUE Library and analyze the effectiveness of Web 2.0 application implementation developed in improving the learning process of the organization in IUE Library. The research method used is mixed method approach with the stages of research refers to the stages of development as well as stages of implementation in Web 2.0 Tools Implementation Model. Technique of effectiveness analysis using T test. The result of research show that blog and online forum can be used by IUE Library to facilitate organizational learning. The results of effectiveness test using T test with α = 0.05 stated that the application of Web 2.0 application in the form of blog and online forum effectively improve organizational learning in IUE Library and effectively improve individual learning level, group learning level, and organizational learning level.Keywords: organizational learning, web 2.0, blog, online forum
Model Manajemen Big Data Komoditas Beras untuk Kebijakan Pangan Nasional Eneng Tita Tosida; Fajar Delli Wihartiko; Irman Hermadi; Yani Nurhadryani; Feriadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 4 No 1 (2020): Februari 2020
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1108.271 KB) | DOI: 10.29207/resti.v4i1.1520

Abstract

Rice is the main commodity in Indonesia, both for consumption and production. Rice production data are available at the Badan Pusat Statistika and at Kementrian Pertanian. The data is used to build a large data management model for Indonesia's rice trade. The model development strategy is done through analyzing agriculture big data analytic that is equipped with descriptive analysis, evaluation, predictive and prescriptive. The models and designs that are built discuss business processes, stakeholder networks and network management. Descriptive analysis results in the form of grouping and visualization of rice data. The results of the diagnostic process using classification approach produce a decision tree to see the results of the level of production in a province. In the predictive process produces a linear regression model to predict the results of the following year's production as well as in the analysis.
The Clustering Rice Plant Diseases Using Fuzzy C-Means and Genetic Algorithm Faza Adhzima; Yandra Arkeman; Irman Hermadi
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 6 No 2 (2022): April 2022
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (487.237 KB) | DOI: 10.29207/resti.v6i2.3912

Abstract

Rice is an agricultural sector that is very important for Indonesia's economy. The main problem with rice plants is pest and disease control which has a hazardous impact and economic losses for farmers. The apparent characteristics of rice leaves have a greater area than other plant structures; rice leaves can be applied for the early diagnosis of rice plant diseases. The approaches employed are fuzzy C-Means (FCM) and Genetic Algorithm-Fuzzy C-Means (GA-FCM). The center of the cluster is obtained while adopting genetic algorithms for optimization. The primary dataset used in this research is Teaching Sawah Farm IPB, and the second dataset is UCI Rice Leaf Diseases. According to the comparison results, the GA-FCM optimization results in a higher level of clustering precision with a 65% optimal cluster center point on the silhouette coefficient value compared to just 60% for FCM. This research shows that the proposed method can add 5% accuracy to the clustering results in correctly identifying rice plant diseases.
Diagnosis Penyakit Demam Berdarah Dengue Menggunakan Voting Feature Intervals 5 Irman Hermadi; Aziz Kustiyo; Aristi Imka Apniasari
KOMPUTASI Vol 5, No 1 (2008): Komputasi: Jurnal Ilmiah Ilmu Komputer dan Matematika
Publisher : Ilmu Komputer, FMIPA, Universitas Pakuan

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1247.724 KB) | DOI: 10.33751/komputasi.v5i9.1425

Abstract

Tingkat kematian akibat penyakit Demam Berdarah Dengue relatif masih tinggi. Salah satu penyebab tingginya tingkat kematian tersebut adalah keterlambatan diagnosis. Semakin cepat diagnosis dapat dilakukan, semakin cepat pula pertolongan bisa diberikan sehingga dapat mengurangi angka kematian tersebut. Penelitan ini akan menerapkan algoritma Voting Feature Intervals 5 (VF15) untuk mendiagnosa penyakit DBD. Pada pertelitian ini dilakukan 4 tahap pengujian. Rata-rata akurasi yang dihasilkan pada pengujian tahap pertama terhadap data sebelum validasi adalah 65,66%. Rata-rata akurasi pada pengujian tahap kedua ini adalah 92,86%. Rata-rata akurasi yang dihasilkan pada pengujian tahap ketiga ini mencapai 97,62%. Selanjutnya, pada pengujian tahap keempat akurasi yang dihasilkan untuk data setelah validasi adalah 100%. Akurasi tersebut jauh lebih tinggi bila dibandingkan dengan penelitian yang telah dilakukan oleh Syafii pada tahun 2006 dengan menggunakan model ANFIS yang hanya mencapai 86,67%. Kata Kunci : Demam Berdarah Dengue, Diagnosis, Voting Feature Intervals.
Pendekatan Usability Engineering pada Sistem Manajemen Pengetahuan Bibit Kelapa Sawit Thoyyibah Tanjung; Agus Buono; Irman Hermadi
Jurnal Informatika Universitas Pamulang Vol 1, No 2 (2016): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (381.736 KB) | DOI: 10.32493/informatika.v1i2.1472

Abstract

Penggunaan sistem manajemen pengetahuan sangat diperlukan untuk pertukaran informasi. Banyaknya penggunaan sistem tersebut diiringi dengan berkembangnya benih kelapa sawit di Indonesia, yang mana ketersediaan dalam negeri adalah ± 160 juta, sedangkan permintaan terhadap benih kelapa sawit dalam negeri adalah ± 230 juta benih, sehingga terjadi kekurangan benih di Indonesia. Untuk menanggulangi kekurangan tersebut dibutuhkan sebuah sistem informasi yaitu sistem manajemen pengetahuan. Tujuan penelitian ini untuk mengembangkan Knowledge Management System (KMS) dengan metode pendekatan usability engineering. Dimana dengan menggunakan usability bisa menentukan karakteristik dan kelayakan suatu sistem. Hasil dari penelitian ini berupa sistem manajemen pengetahuan pemilihan bibit sawit yang mana pengetahuannya meliputi cakupan data benih dan bibit kelapa sawit, pengetahuan dari pakar termasuk praktisi, ilmuan dan petani.
Identification of Venation Type Based on Venation Density using Digital Image Processing Agus Ambarwari; Yeni Herdiyeni; Irman Hermadi
Jurnal Teknoinfo Vol 12, No 2 (2018): Juli
Publisher : Universitas Teknokrat Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33365/jti.v12i2.127

Abstract

Leaf venation is one biometric feature of leaves that have an important role in growth processes of the plant, and to determine the relationship of the plant physiology and the environment in which plants grow. At every different environment, plants have different types of leaf venation. It can be seen from the level of the leaf vein density. In this study, the feature of leaf vein density was used to identify the leaves based on venation type. The venation density features obtained from segmentation, vein detection, and density feature extraction of leaf venation. Identification of the venation type was made using the artificial neural network (ANN). The results of this study indicate that the proposed method can classify the leaf correctly image based on the venation type. On the dataset with 324 samples, the accuracy of 82.71% was obtained. This shows that the leaf vein density features allow use as a plant identifier.Keywords: leaf vein density, vein detection, density feature extraction, artificial neural network
Sistem Kelayakan Borang Akreditasi Program Studi Menggunakan Fuzzy Inference System Yanto Hermawan; Irman Hermadi; Heru Sukoco
JAS-PT (Jurnal Analisis Sistem Pendidikan Tinggi Indonesia) Vol 4 No 1 (2020): JAS-PT Edisi JULI 2020
Publisher : Forum Dosen Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36339/jaspt.v4i1.303

Abstract

The Board of National Accreditation Body for Higher Education) evaluates the performance of a study program. This compels it to improve and maintain its performance. The process of accreditation involves several steps, one of which is the completion of accreditation documents by the study program. The completion requires data from various sources, both from the study program and the institution. However, the data required are often not recorded properly and kept by different sources. As a result, it takes longer time to complete the arrangement. Moreover, inconsistent data format becomes another factor which holds back this process. The application of fuzzy inference system, as used by Kesatuan Business and Informatics Institute, as in the above case can result in a better scoring in which each component is assessed and it will yield the prediction of the expected accreditation status before it is submitted to BAN-PT. This research aims to develop a web based accreditation system with fuzzy inference system and construct a prediction of score ad accreditation status in IBI Kesatuan, using 4 variables of input assessment criteria, namely: external condition, institutional profile, criteria and analysis, and development program decision. The resulting output is the status of non- accredited, good accredited, excellent accredited, and superior accredited. There are 4 phases in the methods: problem identification, needs and system analysis, system design, system implementation and testing system. The result of blackbox test show that 8 features can operate well. The features consist of criteria menu, indicator menu, date user, LKPS data, LED data, LKPS and LED assessment input, recapitulation and conclusion. Based on the results of the study, it can be concluded that accreditation system can be applied to predict the scores and accreditation status of information system study program of IBI Kesatuan. Keywords: accreditation, fuzzy inference system
EFFORT ESTIMATION MODELING OF E-GOVERNMENT APPLICATION DEVELOPMENT USING FUNCTION POINTS BASED ON TOR AND SRS DOCUMENT Noorlela Marcheta; Irman Hermadi; Yani Nurhadryani
Journal of Information Technology and Its Utilization Vol 3, No 1 (2020)
Publisher : Sekolah Tinggi Multi Media (STMM) Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30818/jitu.3.1.2839

Abstract

Software cost estimation is important for information systems management and is generally taught in software engineering courses especially to terms of the ever-increasing development of E-Government. A significant challenge for Software Sizing (SS) is to determine cost estimates based on TOR documents that do not yet contain complete Software Requirements Specifications (SRS). This study uses Function Points as one of the measurement methods that can make cost estimates and expert needs based on the desired functional system. On the other hand, there are cases where estimation needs after the SRS document have been made. Thus in this study, the authors discuss the implementation of SS based on TOR and SRS documents for E-Government. The results of this study indicate the closeness of the actual and estimated values of 81.9% for TOR and 93.4% for SRS.
Peningkatan Performansi Multi Objektif NSGA-II Dengan Operator Mutasi Adaptif Pada Kasus Portofolio Reksadana Saham Putri Yuli Utami; Yandra Arkeman; Agus Buono; Irman Hermadi
CYBERNETICS Vol 3, No 02 (2019): CYBERNETICS
Publisher : Universitas Muhammadiyah Pontianak

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29406/cbn.v3i02.2194

Abstract

Non-dominated sorting genetic algorihm (NSGA-II) merupakan salah algoritma pencarian solusi optimal dengan mengurutkan solusi berdasarkan pareto-front untuk mengindentifikasi feasible solutions. Performansi algoritme NSGA-II sangat dipengaruhi oleh operator parameter. Salah satu parameter adalah operator mutasi yang memegang kendali untuk diversitas kandidat solusi. Pada riset ini operator mutasi dibuat adaptif dengan menggunakan distribusi probabilitas polinomial (parameter nm). Parameter ini mengontrol kekutatan mutasi dan mengubah nilai mutasi secara adaptif serta mengubah probabilitas mutasi secara dinamik untuk mengatur banyaknya gen yang mengalami mutasi. Berdasarkan hasil penelitian nilai standar deviasi mutasi non-adaptif lebih kecil daripada mutasi adaptif. Nilai standar deviasi merepresentasikan varians sehingga mutasi adaptif memiliki varians yang beragam dibandingkan dengan mutasi non-adaptif. Mutasi adaptif dapat meningkatkan diversitas kromosom sehingga mencapai konvergensi kromosom agar terhindar dari konvergensi dini dengan waktu komputasi yang lebih efektif. Pada kasus portofolio reksadana saham menghasilkan standar deviasi yang lebih besar sehingga solusi yang dihasilkan semakin beragam.
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