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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) Agromet IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Veteriner Techno.Com: Jurnal Teknologi Informasi CAUCHY: Jurnal Matematika Murni dan Aplikasi Lingua Jurnal Bahasa dan Sastra PIKSEL : Penelitian Ilmu Komputer Sistem Embedded and Logic Jurnal Ilmu Komputer dan Agri-Informatika Journal of the Indonesian Mathematical Society Jurnal Teknologi Informasi dan Ilmu Komputer Jurnal Aplikasi Bisnis dan Manajemen (JABM) E-Journal Seminar Nasional Informatika (SEMNASIF) Widyariset Indonesian Journal of Science and Technology Jurnal Sains Matematika dan Statistika Al-Jabar : Jurnal Pendidikan Matematika JOIV : International Journal on Informatics Visualization Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Matematika: MANTIK MAJALAH ILMIAH GLOBE Desimal: Jurnal Matematika BAREKENG: Jurnal Ilmu Matematika dan Terapan JTAM (Jurnal Teori dan Aplikasi Matematika) Zero : Jurnal Sains, Matematika, dan Terapan Teorema: Teori dan Riset Matematika Jambura Journal of Mathematics Jambura Geoscience Review SALINGKA Jurnal Matematika UNAND Building of Informatics, Technology and Science Sains, Aplikasi, Komputasi dan Teknologi Informasi Indonesian Journal of Electrical Engineering and Computer Science InPrime: Indonesian Journal Of Pure And Applied Mathematics Widyariset Jambura Journal of Biomathematics (JJBM) Euler : Jurnal Ilmiah Matematika, Sains dan Teknologi Jurnal Pijar MIPA Jurnal Sains Terapan : Wahana Informasi dan Alih Teknologi Pertanian Journal of Applied Agricultural Science and Technology Milang Journal of Mathematics and Its Applications Jurnal Sintak Jurnal Matematika Integratif Indonesian Journal of Mathematics and Applications Jurnal Pendidikan Progresif Indonesian Journal of Mathematics and Natural Sciences MILANG Journal of Mathematics and Its Applications Majalah Ilmiah Bahasa dan Sastra

Sri Nurdiati

Department Of Mathematics, Faculty Of Science And Mathematics, IPB University, Jl. Meranti, Kampus IPB Dramaga, Bogor 16680

Author-ID : 334470

Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts 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 Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Neuroscience Physics Social Sciences Transportation Veterinary Other

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Identifikasi Jenis Kayu Menggunakan Support Vector Machine Berbasis Data Citra Gunawan, AA Gede Rai; Nurdiati, Sri; Arkeman, Yandra
Jurnal Ilmu Komputer dan Agri-Informatika Vol 3, No 1 (2014)
Publisher : Departemen Ilmu Komputer IPB

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1644.643 KB)

Identifikasi jenis kayu di Indonesia pada umumnya dilakukan secara manual, dengan cara memperhatikan pori kayu pada daerah penampang kayu menggunakan kaca pembesar atau mikroskop dengan pembesaran minimal 10 kali. Teknik komputerisasi belum banyak dilakukan terutama karena kurangnya penelitian di bidang ini dan sulitnya mendapatkan database kayu. Penelitian ini bertujuan mengembangkan sebuah sistem untuk mengklasifikasikan 4 jenis kayu yang diperdagangkan di Indonesia dengan metode support vector machine (SVM) berbasis citra. Teknik ekstraksi ciri yang digunakan adalah two-dimensional principal component analysis (2D-PCA). Sistem ini dapat mengidentifikasi kayu dalam waktu singkat sehingga mempercepat proses identifikasi jenis kayu. Hasil klasifikasi dari 120 kali percobaan dengan menggunakan 96 data citra dengan 4 jenis kayu menunjukkan akurasi terbaik sebesar 95.83% pada kernel Polinomial. Kata kunci: Citra mikroskopis, Identifikasi jenis kayu, SVM

ANALISIS PEMBENTUKAN POLA GRAF PADA KALIMAT BAHASA INDONESIA MENGGUNAKAN METODE KNOWLEDGE GRAPH Yusuf, Yasin; Nurdiati, Sri; Silalahi, Paruhum
Lingua Vol 10, No 1 (2014): January 2014
Publisher : Lingua

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Knowledge graph adalah sebuah pendekatan baru untuk memahami bahasa alami. Metodeini memiliki 9 relasi biner dan 4 relasi frame. Analisis suatu kalimat dengan menggunakanknowledge graph membutuhkan aturan pemotongan kalimat (chunking). Aturan chunkingsudah ada pada struktur kalimat bahasa Inggris dan Cina, tetapi belum ada untuk strukturkalimat bahasa Indonesia.Tujuan dari penelitian ini adalah membentuk aturan chunkingpada struktur kalimat bahasa Indonesia dan membuat pola graf kalimat bahasaIndonesia.Tahapan penelitian ini adalah dimulai dengan studi literatur awal, pembuatanchunk indicator, pemotongan kalimat (chunking), pembuatan chunk graph, dan diakhiridengan kontruksi sentence graph. Hasil penelitian ini adalah aturan chunking kalimatbahasa Indonesia dengan indicator sebanyak 8, yaitu koma dan titik, kata ganti petunjuk,kata kerja bantu, kata depan, jump, kata-kata logika, jeda nafas, kata sambung. Selain itu,diperoleh pula pola graf kalimat bahasa Indonesia yang sekaligus menunjukkan arti(aspek semantik) dari kalimat yang dianalisis.Â This research aimed to construct chunking rule on Indonesian language sentencestructure and make pattern of Indonesian language sentence graph. It was done sinceknowledge graph is a new approach to understand natural language. This method has 9(nine) binary relation and 4 (four) frame relation. A sentence analysis using this approachneeds rule of sentence chunking, This research method was started from beginning ofliterary studies, chunk indicator constructing, sentence chunking, chunk graphconstructing, and sentence graph constructing. Result of this research was there was ruleof Indonesian language sentence chunking with 8 (eight) indicators such as periods, fullstops, demonstratives, auxiliary verbs, prepositions, jump, logical words, pauses,conjunctions. Besides that, it had also been achieved pattern of Indonesian languagegraph which gives meaning (semantic aspect) from analyzed sentences at once.

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REKONSTRUKSI MODEL 3D MENGGUNAKAN FOTO UDARA UNTUK MENDUGA TINGGI OBJEK Hanief, Hafzal; Nurdiati, Sri; Suwardhi, Deni
MAJALAH ILMIAH GLOBE Vol 15, No 2 (2013)
Publisher : Badan Informasi Geospasial

ABSTRAKRekonstruksi 3D, terutama untuk ekstraksi tinggi menggunakan foto udara digital yang diambil dari kamera nonmetrikdan Pesawat Udara Nir Awak (PUNA) adalah studi yang menantang. Tujuan dari penelitian ini adalah: (1) untukmenentukan presisi tinggi objek yang diungkapkan dari model 3D dan menetapkan prosedur untuk memberikan hasilyang optimal. Dua atau lebih tumpang tindih foto udara dapat dibangun ke dalam model 3D dengan menerapkanprinsip-prinsip collinearity dan geometri epipolar menggunakan algoritma rekonstruksi 3D. Karena ketidakstabilankamera digital non-metrik, kamera harus dikalibrasi sebelum rekonstruksi 3D diproses, dengan cara bahwa kualitasekstraksi spasial dapat kemudian diukur. Penelitian ini dilakukan dengan menggunakan 24 megapixel Resolusi SonyNEX7 kamera digital dan Hexacopter UAV. Kamera Kalibrasi Toolbox digunakan untuk menghitung parameter intrinsikkamera dan program yang spesifik dikembangkan dengan menggunakan MATLAB dalam rangka membangun model3D dan untuk memperoleh ketinggian objek. Hasil validasi dilakukan dengan membandingkan ketinggian model 3Ddengan satu pengukuran dengan menggunakan Electronic Total Station. Keakuratan tinggi objek hingga 1 mmberhasil dicapai, dengan ketinggian kesalahan prediksi terbesar mencapai 15,2 cm pada 70 m ketinggian terbang diatas permukaan tanah.Kata Kunci : Rekonstruksi 3D, Collinearity, Geometri Epipolar, PUNA.ABSTRACTReconstruction of 3D, especially on height extraction using digital aerial photos taken from a non-metric cameraand Unmanned Aerial Vehicle (UAV) is a challenging study. The purposes of this study are: (1) to determine theprecision of an objectâs height reveal from a 3D model, and (2) to establish procedures to deliver the optimal result.Two or more overlapping aerial photos can be constructed into a 3D model by applying principles of collinearity andepipolar geometry using 3D reconstruction algorithm. Since there is an instability on a non-metric digital camera, thecamera must be calibrated before 3D reconstruction is process, in that way the quality of spatial extraction, then canbe measured. The study is conducted using 24 megapixels resolution Sony NEX7 digital camera and HexacopterUAV. Camera Calibration Toolbox was utilized to calculate intrinsic parameters of the camera and a specific programis developed using MATLAB in order to build the 3D model and to obtain the objectâs height. The result validation isdone by comparing the height from 3D model with that one measured using Electronic Total Station. The accuracy ofthe objectâs height up to 1 mm was successfully achieved, with largest height prediction error reaches of 15.2 cm at 70m flying height above ground level.Keyword : 3D Reconstruction, Collinearity, Epipolar Geometry, UAV.

Adaptive Mixed Finite Element Method for Elliptic Problems with Concentrated Source Terms Ilyas, Muhammad; Garnadi, Agah D.; Nurdiati, Sri
Indonesian Journal of Science and Technology Vol 4, No 2 (2019): IJOST: VOLUME 4, ISSUE 2, 2019
Publisher : Universitas Pendidikan Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17509/ijost.v4i2.18183

An adaptive mixed finite element method using the Lagrange multiplier technique is used to solve elliptic problems with delta Dirac source terms. The problem arises in the use of Chow-Anderssen linear functional methodology to recover coefficients locally in parameter estimation of an elliptic equation from a point-wise measurement. In this article, we used a posterior error estimator based on averaging technique as refinement indicators to produce a cycle of mesh adaptation, which is experimentally shown to capture singularity phenomena. Our numerical results showed that the adaptive refinement process successfully refines elements around the center of the source terms. The results also showed that the global error estimation is better than uniform refinement process in terms of computation time.

Spatial and Temporal Analysis of El Niño Impact on Land and Forest Fire in Kalimantan and Sumatra Sri Nurdiati; Ardhasena Sopaheluwakan; Pandu Septiawan
Agromet Vol. 35 No. 1 (2021): JUNE 2021
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.35.1.1-10

Land and forest fires in Kalimantan and Sumatra, Indonesia occurred annually at different magnitude and duration. Climate and sea interaction, like El Niño, influences the severity of dry seasons preceding the fires. However, research on the influence of El Niño intensity to fire regime in Kalimantan and Sumatra is limited. Therefore, this study aims to analyze the spatial and temporal patterns of the effects of El Niño intensity on land and forest fires in fire-prone provinces in Indonesia. Here, we applied the empirical orthogonal function analysis based on singular value decomposition to determine the dominant patterns of hotspots and rainfall data that evolve spatially and temporally. For analysis, the study required the following data: fire hotspots, dry-spell, and rainfall for period 2001-2019. This study revealed that El Niño intensity had a different impacts for each province. Generally, El Niño will influence the severity of forest fire events in Indonesia. However, we found that the impact of El Niño intensity varied for Kalimantan, South Sumatra, and Riau Province. Kalimantan was the most sensitive province to the El Niño event. The duration and number of hotspots in Kalimantan increased significantly even in moderate El Niño event. This was different for South Sumatra, where the duration and number of hotspots only increased significantly when a strong El Niño event occurred.

Identification of Global Warming Contribution to the El Niño Phenomenon Using Empirical Orthogonal Function Analysis Mochamad Tito Julianto; Septian Dhimas; Ardhasena Sopaheluwakan; Sri Nurdiati; Pandu Septiawan
Agromet Vol. 35 No. 1 (2021): JUNE 2021
Publisher : PERHIMPI (Indonesian Association of Agricultural Meteorology)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/j.agromet.35.1.11-19

Sea surface temperature (SST) is identified as one of the essential climate/ocean variables. The increased SST levels worldwide is associated with global warming which is due to excessive amounts of greenhouse gases being released into the atmosphere causing the multi-decadal tendency to warmer SST. Moreover, global warming has caused more frequent extreme El Niño Southern Oscillation (ENSO) events, which are the most dominant mode in the coupled ocean-atmosphere system on an interannual time scale. The objective of this research is to calculate the contribution of global warming to the ENSO phenomenon. SST anomalies (SSTA) variability rosed from several mechanisms with differing timescales. Therefore, the Empirical Orthogonal Function in this study was used to analyze the data of Pacific Ocean sea surface temperature anomaly. By using EOF analysis, the pattern in data such as precipitation and drought pattern can be obtained. The result of this research showed that the most dominant EOF mode reveals the time series pattern of global warming, while the second most dominant EOF mode reveals the El Niño Southern Oscillation (ENSO). The modes from this EOF method have good performance with 95.8% accuracy rate.

Strategi Peningkatan Kinerja Karyawan Taman Buah Mekarsari Rika Kusumawati; M. Syamsul Maarif; Sri Nurdiati
Jurnal Aplikasi Bisnis dan Manajemen (JABM) Vol. 5 No. 1 (2019): JABM Vol. 5 No. 1, Januari 2019
Publisher : School of Business, Bogor Agricultural University (SB-IPB)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.17358/jabm.5.1.59

Human resources are the main element of the organization. The organization goals will be achieved when ITS employees have high performance. The purposeS of this study were to analyze the effect of competency on employee motivation, the effect of competency on employee performance, and the effect of motivation on employee performance, and to formulate strategies for improving the employee performance at Mekarsari Fruit Garden. The respondents in this study were 167 employees selected with sampling technique using stratified random sampling. Analysis of the data used in this research included descriptive analysis of respondents, Spearman correlation test methods, analysis Structural Equation Modeling (SEM) with LISREL 8.51 and Analytical Hierarchy Process (AHP) with expert choice 2000. The results showed that 1) Competency had an effect on employee motivation at Mekarsari Fruit Garden; 2) Competency had an effect on employee performance at Mekarsari Fruit Garden; 3) Motivation had an effect on employee performance at Mekarsari Fruit Garden. The first strategy to improve employee performance was improving the prosperity of employees, and the highest factor in increasing employee performance was competency. The most influential actor was the President Director of Mekarsari Fruit Garden whereas the highest score of the objective was increasing the profit of Mekarsari Fruit Garden.Keywords: performance, competency, motivation, strategies, Mekarsari Fruit GardenAbstrak: Sumber Daya Manusia (SDM) merupakan elemen utama organisasi. Tujuan organisasi akan tercapai bila pegawai di dalamnya memiliki kinerja yang tinggi. Tujuan penelitian ini adalah untuk mengalisis pengaruh kompetensi terhadap motivasi karyawan, kompetensi terhadap kinerja karyawan dan motivasi terhadap kinerja karyawan serta merumuskan strategi dalam rangka peningkatan kinerja karyawan Taman Buah Mekarsari. Responden dalam penelitian ini sebanyak 167 karyawan dengan teknik penarikan contoh menggunakan Stratified Random Sampling. Analisis data yang digunakan dalam penelitian ini meliputi analisis deskriptif responden, uji korelasi dengan metode Spearman, analisis Structural Equation Modeling (SEM) dengan LISREL 8.5, dan analytical hierarchy process (AHP) menggunakan expert choice 2000. Hasil penelitian menunjukkan bahwa: 1) Kompetensi berpengaruh terhadap motivasi karyawan Taman Buah Mekarsari; 2) Kompetensi berpengaruh terhadap kinerja karyawan Taman Buah Mekarsari; 3) Motivasi berpengaruh terhadap kinerja karyawan Taman Buah Mekarsari. Strategi pertama untuk meningkatkan kinerja karyawan adalah meningkatkan kesejahteraan karyawaan, sementara faktor tertinggi dalam hal peningkatan kinerja adalah kompetensi. Aktor yang paling berpengaruh dalam peningkatan kinerja karyawan adalah Direktur Utama, sementara skor tertinggi dari tujuan adalah meningkatkan laba Taman Buah Mekarsari.Kata kunci: kinerja, kompetensi, motivasi, strategi, taman buah mekarsari

PENGEMBANGAN VISUAL INTERACTIVE SIMULATION DALAM SISTEM PENUNJANG KEPUTUSAN DENGAN PENDEKATAN AGEN (Studi Kasus Investasi pada Industri Biodisel Kelapa Sawit) Prihasuti Harsani; Sri Nurdiati; Wisnu \ Ananta Kusuma
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 3 (2008): Intelligent System dan Application
Publisher : Jurusan Teknik Informatika

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Sistem Penunjang Keputusan dengan simulasi dapat menjadi efektif dengan pemanfaatan Visual Interactive Simulation (VIS). Melalui VIS pengambil keputusan mengontrol sepenuhnya jalannya simulasi dengan penentuan skenario dan modifikasi parameter simulasinya. Pembangunan sistem dengan VIS dilakukan dengan metodologi gaia untuk memodelkan sistem agen. Melalui gaia, dihasilkan lima model utama sebagai dasar pembentukan arsitektur sistem, yaitu model interaksi, model role, model service, model acquitance dan model agen. Pendefinisian arsitktur sistem yang lebih konkret dilakukan melalui Agent Unified Modelling Languagae (AUML)

Utilizing Soft Computing for Determining Protein Deficiency Sri Hartati; Sri Nurdiati
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 5, No 1 (2011): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.1996

Abstract— In recent years, the occurrence of protein shortage of children under 5 years old in many poor area has dramatically increased. Since this situation can cause serious problem to children like a delay in their growth, delay in their development and also disfigurement, disability, dependency, the early diagnose of protein shortage is vital. Many applications have been developed in performing disease detection such as an expert system for diagnosing diabetics and artificial neural network (ANN) applications for diagnosing breast cancer, acidosis diseases, and lung cancer. This paper is mainly focusing on the development of protein shortage disease diagnosing application using Backpropagation Neural Network (BPNN) technique. It covers two classes of protein shortage that are Heavy Protein Deficiency. On top of this, a BPNN model is constructed based on result analysis of the training and testing from the developed application. The model has been successfully tested using new data set. It shows that the BPNN is able to early diagnose heavy protein deficiency accurately. Keywords— Artificial Neural Network, Backpropagation Neural Network, Protein Deficiency.

Co-Authors AA Gede Rai Gunawan Abisha, Nicholas Ade Irawan Ade Irawan Agah D. Garnadi Agung Widyo Utomo Agus Buono Aldri Frinaldi Alifah, Nayla Nur Alifah, Rifdah Nur Amalia, Rizki Nurul Amanah, Ayu Anak Agung Gede Rai Gunawan Andriani, Rizka D. Annisa Permata Sari, Annisa Permata Antika, Ester Ardhana, Muhammad Reza Ardhasena Sopaheluwakan Ardhasena Sopaheluwakan Ardhasena Sopaheluwakan Ardiyani, Evi Ayu Amanah Aziz, Muhammad Farhan Bib Paruhum Silalahi Blante, Trianty Putri Budiarti, Retno Cece Sumantri Chairunisa, Ghevira Deni Suwardhi DEWI RAHMAWATI Edi Santosa Ekaputri, Dhea Elis Khatizah Endar Hasafah Nugrahani Eragilang Muhammad Hastapatria Ester Antika Fahren Bukhari Fahren Bukhari Fahren Bukhari Faiqul Fikri Fajar Delli Wihartiko Fatmawati, Linda Leni Fauzan, Muhammad Daryl Ginting, Dini Tri Putri Br Hanief, Hafzal Hany Savitry Hasafah Nugrahani, Endar Heliza Rahmania Hatta, Heliza Rahmania Henny Nuraini Henriyansah Herlambang, Karen Hilmi, Kautsar I Wayan Mangku Imni, Salsabila F. Indra Jaya Irman Hermadi Irmanida Batubara Jauhari, Muhammad Fakhri Junus, Kasiyah Karlisa Priandana Kasiyah Junus Kautsar Hilmi Khatizah, Elis Khoerunnisa, Nazwa Komariah . Lana Syakina Linda Leni Fatmawati M. Syamsul Maarif Maman Turjaman Marimin Marimin Mas’oed, Teduh W. Maulia, Syammira Dhifa Mochamad Tito Julianto Mohamad Khoirun Najib Muhamad Syukur Muhammad Adam Tripranoto Muhammad Fikri Isnaini Muhammad Ilyas Muhammad Reza Ardhana Muhammad Tito Julianto Muhammad Zidane Bayu Mukhlis Mukhlis Muliawan Sebastian, Denny Nadiyah, Fadilah Karamun Nisaa Najib, Mohamad K. Najib, Mohamad Khoirun Najib, Mohamad Khoirun Nandika Safiqri NGAKAN KOMANG KUTHA ARDHANA Niswati, Za'imatun Noval Nur Fallahi, Putri Afia Nurwegiono, Muhammad Nuzhatun Nazria Pandu Septiawan Pratama, Yoga Abdi Prihasuti Harsani Putri, Renda S. P. Rachma Fauziah Krismayanti Rafhida, Syukri Arif Rafhida, Syukri Arif Redytadevi, Tita Putri REFI REVINA Retno Budiarti Rika Kusumawati Rohimahastuti, Fadillah Ruben Harry Valentdio Salsabila, Fitra Nuvus Salsabilla Rahmah Salsabilla, Fitra Nuvus Sanjaya, Wardah Septian Dhimas Setyawati, Suci Nur Shelvie Nidya Neyman Sony Hartono Wijaya Sopaheluwakan, Ardhasena Sri Hartati Sri Mulatsih Srihadi Agungpriyono Sriwahyuni, Lilis SUHARINI, YUSTINA SRI Sukmana, Ihwan SYAHID AHMAD MUKRIM Sya’adah, Syifa Noer Trianty Putri Blante Triwulandari, Raden Roro Carissa Valentdio, Ruben Harry Verry Riyanto Vicky Zilvan Wisnu Ananta Kusuma Yandra Arkeman Yasin Yusuf Yoga Abdi Pratama

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