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Yeni Kustiyahningsih
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INDONESIA
Jurnal Ilmiah Kursor
Published by Universitas Trunojoyo Madura
ISSN : 02160544     EISSN : 23016914     DOI : https://doi.org/10.21107/kursor
Core Subject : Science,
Computer Science & IT Decision Sciences, Operations Research & Management
Jurnal Ilmiah Kursor is published in January 2005 and has been accreditated by the Directorate General of Higher Education in 2010, 2014, 2019, and until now. Jurnal Ilmiah Kursor seeks to publish original scholarly articles related (but are not limited) to: Computer Science. Computational Intelligence. Information Science. Knowledge Management. Software Engineering. Publisher: Informatics Department, Engineering Faculty, University of Trunojoyo Madura
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 155 Documents
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Salt Quality Determination Using Simple Additive Weighting (SAW) and Analytical Hirarki Process (AHP) Methods Ach Khozaimi; Yoga Dwitya Pramudita; Eka Mala Sari Rochman; Aeri Rachmad
Jurnal Ilmiah Kursor Vol 10 No 2 (2019)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v10i2.227

Abstract

Salt has a salty taste obtained by drying seawater into mineral crystals. However, the quality of industrial salt in Indonesia is still an obstacle, so the need for industrial salt still relies on imported salt. The quality of salt is shown from physical and chemical appearance. Good salt is shown by the crystal form which is smooth and has a clear white color. Good salt quality knowledge must be known so that it can meet Indonesia's national standards and can distinguish salt designation based on its quality category. This study compares the Simple Additive Weighting (SAW) and Analytical Hierarchy Proccess (AHP) methods to determine the highest quality salt. The SAW method gives weight to each of its attributes and the total score finally produces an alternative decision that matches the criteria, thus producing a high-quality salt. While the AHP method starts by creating a hierarchical structure that has the main objectives, criteria, sub criteria and alternatives to be discussed. Pairwise comparisons are used to form relationships in the structure. So it will form a matrix where the ratio scale is derived in the form of the main vector eigen or function-eigen.
PENINGKATAN TARAF IDENTIFIKASI JENIS GAS DI UDARA TERBUKA MENGGUNAKAN TRANSFORMASI FOURIER DAN PRINCIPAL COMPONENT ANALYSIS Muhammad Rivai; Tasripan Tasripan; Totok Mujiono
Jurnal Ilmiah Kursor Vol 6 No 2 (2011)
Publisher : Universitas Trunojoyo Madura

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Abstract

Klasifikasi jenis gas di udara terbuka diperlukan di berbagai bidang aplikasi seperti pendeteksian kebakaran, monitoring lingkungan dan lainnya. Hal ini memerlukan teknik pengklasifikasian yang handal dikarenakan adanya konsentrasi gas yang berubah secara dinamis. Sebuah deret sensor gas yang dikombinasikan dengan algoritma pengenal pola Neural Networks telah lama digunakan untuk mengatasi hal ini. Makalah ini melaporkan sebuah metode yang handal untuk klasifikasi jenis gas di udara terbuka. Pada penelitian ini, metode yang digunakan adalah metode Fast Fourier Transform (FFT) untuk analisa spektrum frekuensi dan metode Principal Component Analysis (PCA) untuk ekstraksi data sebagai metode preprocessing untuk Propagasi balik Neural Networks. Sebuah deret sensor terdiri dari tiga tipe sensor gas semikonduktor yang berbeda dan menghasilkan sebuah pola yang khas untuk setiap jenis gas pada domain waktu. Beberapa gas digunakan untuk mengevaluasi unjuk kerja dari klasifikasinya. Hasil percobaan menunjukkan bahwa taraf klasifikasi dari Neural Networks yang dihasilkan lebih tinggi daripada sistem klasifikasi tanpa menggunakan preprocessing walaupun konsentrasi gas berubah pada kondisi yang bervariasi. Kata kunci: Deret Sensor, Spektrum Frekuensi, Principal Component Analysis, Neural Networks. Abstract Classification of gases in open field is of great interest in many applications such as fire detection, environmental monitoring, etc. They all require reliable classification techniques due to dynamical change of gas concentration. A gas sensor array combined with Neural Networks pattern recognition algorithm has been traditionally used to address these issues. This paper reports a robust method for gas classification in the ambient air. In this research, we employ Fast Fourier Transform (FFT) method for frequency spectrum analysis and Principal Component Analysis (PCA) method for data extraction as preprocessing methods for a Back Propagation Neural Networks. A sensor array consists of three different types of semiconductor gas sensors producing a unique pattern for each gas in time domain. Several gases were introduced to evaluate the classification performance. The experiment result showed that classification rate of the Neural Networks with FFT and PCA methods as preprocessing was higher than that of the system without preprocessing even if the gas concentration changed into various conditions.
AN OBJECT ORIENTED APPROACH FOR CREATING WEB SERVICE PRESENCE SYSTEM Fandy Setyo Utomo; Yuli Purwat
Jurnal Ilmiah Kursor Vol 7 No 2 (2013)
Publisher : Universitas Trunojoyo Madura

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Abstract

AN OBJECT ORIENTED APPROACH FOR CREATING WEB SERVICE PRESENCE SYSTEM aFandy Setyo Utomo, bYuli Purwati a Information System Department, b Informatics Engineering Department a,bSTMIK AMIKOM Purwokerto Watumas, Purwokerto, Jawa Tengah E-Mail: fandy_setyo_utomo@amikompurwokerto.ac.id Abstrak Web Service dengan metode SOAP (Simple Object Access Protocol) berbasis teknologi ASP.NET digunakan sebagai solusi dalam proses integrasi data dan distribusi data. Teknologi web service mampu mengintegrasikan data dari tiap database presensi di ruang kelas, sehingga menghasilkan laporan memonitor kehadiran dosen, karyawan, dan asisten praktikum, yang sebelumnya belum mampu dilakukan oleh sistem aplikasi presensi. Selain itu, web service mampu mendistribusikan data yang dibutuhkan untuk proses presensi dari database akademik menuju database presensi di tiap ruang kelas, serta dengan adanya web service proses backup data presensi dari database presensi di tiap ruang kelas menuju database akademik dapat dilakukan dengan mudah. Kemudahan-kemudahan yang muncul tersebut akibat adanya penerapan teknologi web service, diharapkan mampu meningkatkan layanan dan kinerja dari bagian pengajaran selaku pihak yang bertanggung jawab dalam pengadaan laporan monitoring kehadiran dosen dan mahasiswa, bagian SDM forum asisten selaku pihak yang bertanggungjawab dalam pengadaan laporan memonitor kehadiran asisten praktikum, dan bagian IT selaku pihak yang bertanggung jawab dalam proses distribusi data presensi dan backup data presensi. Langkah penelitian yang dilakukan dimulai dari analisis dan desain sistem berorientasi objek, serta implementasi ASP. NET web service. Kata kunci: Sistem Presensi, Web Service, SOAP, ASP.NET. Abstract Web Service with SOAP method (Simple Object Access Protocol) is used as the ASP.NET technology-based solutions in the process of data integration and data distribution. Web service technology is able to integrate data from each presence database in the classroom, resulting in a monitoring report attendance lecturer, staff, and lab assistant, who previously have not been able to do by the presence of application systems. In addition, the web service is able to distribute the data required for the presence of the database to the database of academic presence in each classroom, as well as with the web service data backup process in the presence of presence of each database classrooms toward academic database can be done easily. Easiness that arise as a result of the application of web services technology, is expected to improve the performance of the service and teaching as part of the responsible parties in the procurement monitoring report the presence of faculty and students, the HRD assistant forum as the party in charge of procurement monitoring report the presence of lab assistant, and IT as part of the responsible parties in the process of data distribution and data backup presence. Stages of study started from object oriented analysis and design, and implementation ASP.NET web. Keywords: Presence System, Web Service, SOAP, ASP.NET
IINUSAT-1: SATELIT-NANO PERDANA DI INDONESIA UNTUK PENELITIAN DAN PENDIDIKAN Tri Kuntoro Priyambodo; Agfianto Eko Putra; Muh. Asvial; Ridanto Eko Putro; Gamantyo Gamantyo; Endra Pitowarno; Son Kuswadi; Gunawan S Prabowo
Jurnal Ilmiah Kursor Vol 6 No 1 (2011)
Publisher : Universitas Trunojoyo Madura

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Abstract

Mastery of aerospace technology becomes very important for Indonesia. Due to the given the vast areas of Indonesia mostly in the form of marine waters.This condition has made a guarding and monitoring becomes easy. Therefore needed satellite technology that can be utilized to guard the interests of the territory of Indonesia.The success of developing IiNUSAT-1 on the one hand proves that the universities in Indonesia have competence in the field of nano-satellite development, on the other hand also shows that gotong-royong (working-together) in research-networks and technology will accelerate the research competence. In the first year of development IiNUSAT-1 produced a document Prelimidary Design Review, and a prototype of the nano-satellite. The result shows that the nano-satellite prototype has maximum transfer rate 115.2 kbps and every parameter is sampled every second. Having experience developing and operating the nano-satellite in the first year research project, it will trigger the research related to security and prosperity of the nation. The next version of the nano-satellite will be payloaded with sensors and instruments which can be utilized for national security and prosperity.
INTELLIGENT SYSTEM FOR AUTOMATIC CLASSIFICATION OF FRUIT DEFECT USING FASTER REGION-BASED CONVOLUTIONAL NEURAL NETWORK (FASTER R-CNN) Hasan Basri; Iwan Syarif; Sritrusta Sukaridhoto; Muhammad Fajrul Falah
Jurnal Ilmiah Kursor Vol 10 No 1 (2019)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v10i1.187

Abstract

In 2018, the Indonesian fruit exports increased by 24% from the previous year. The surge in demand for tropical fruits from non-tropical countries is one of the contributing factors for this trend. Some of these countries have strict quality requirements – the poor level quality control of fruit is an obstacle in achieving greater export yield. This is because some exporters still use manual sorting processes performed by workers, hence the quality standard varies depending on the individual perception of the workers. Therefore, we need an intelligent system that is capable of automatic sorting according to the standard set. In this research, we propose a system that can classify fruit defects automatically. Faster R-CNN (FRCNN) architecture proposed as a solution to detect the level of defect on the surface of the fruit. There are three types of fruit that we research, its mangoes (sweet fragrant), lime, and pitaya fruit. Each fruit divided into three categories (i) Super, (ii) middle, (iii) and fruit defects. We exploit join detection and video tracking to calculate and determine the quality fruit in real-time. The datasets are taken in the field, then trained using the FRCNN Framework using the Tensorflow platform. We demonstrated that this system can classify fruit with an accuracy level of 88% (mango), 83% (lime), and 99% (pitaya), with an average computation cost of 0.0131 m/s. We can track and calculate fruit sequentially without using additional sensors and check the defect rate on fruit using the video streaming camera more accurately and with greater ease.
IMPROVED SIMULATED ANNEALING FOR OPTIMIZATION OF VEHICLE ROUTING PROBLEM WITH TIME WINDOWS (VRPTW) Wayan Firdaus Mahmudy
Jurnal Ilmiah Kursor Vol 7 No 3 (2014)
Publisher : Universitas Trunojoyo Madura

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Abstract

IMPROVED SIMULATED ANNEALING FOR OPTIMIZATION OF VEHICLE ROUTING PROBLEM WITH TIME WINDOWS (VRPTW) Wayan Firdaus Mahmudy Department of Computer Science, University of Brawijaya (UB) Email: wayanfm@ub.ac.id Abstrak Vehicle routing proble with time windows (VRPTW) merupakan permasalahan optimasi kombinatorial yang banyak ditemui pada sistem distribusi permasalahan ini berkaitan dengan pengalokasian sejumlah kendaraan umum untuk melayani sejumlah konsumen, sejumlah konsumen mempunyai rentang waktu kesediaan yang berbeda dan harus dilayani dalam waktu tersebut. Paper ini memaparkan penggunaan metode simulated annealing yang diperkaya dengan beberapa fungsi khusus untuk menghasilkan solusi tetangga yang digunakan pada penelusuran are pencarian solusi dari VRPTW. Serangkaian percobaan menunjukkan bahwa simulated annealing yang diperkaya dengan fungsi-fungsi khusus dapat menghasilkan solusi yang baik dalam waktu rata-rata 82.29 detik. Kata kunci: Vehicle Routing Problem with Time Windows (VRPTW), Permasalahan optimasi kombinatoria, Simulated annealing, solusi tetangga. Abstract The Vehicle Routing Problem with Time Windows (VRPTW) is a combinatorial optimization problem that exists in various distribution systems. The problem deals with allocation of vehicles to service several customers, each customer has different available time, and the vehicles must visit the customers in their available time.This paper addresses the VRPTW by using an improved simulated annealing algorithm. Special functions to effectively exploring neighborhood solutions are developed. The functions are required to deal with the large search space of the VRPTW and enhance the power of the simulated annealing to obtain better solutions. The proposed approach is evaluated in comparison with well-known benchmark problems available in the literature. A set of computational experiments prove that the improved simulated annealing could produce promising results in the average of computational time of 82.29 seconds. Keywords: Vehicle Routing Problem with Time Windows (VRPTW), combinatorial optimization problem, simulated annealing, neighborhood solution
THE OVERTAKING CAR SIMULATION USING THE TECHNOLOGY OF VIRTUAL REALITY Darlis Heru Mukti; Ridho Rahman Hariadi; Anny Yuniarti; Imam Kuswardayan; Wijayanti Nurul Khotimah
Jurnal Ilmiah Kursor Vol 9 No 3 (2018)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v9i3.116

Abstract

Currently, motor vehicles are very widely used in everyday life. In Indonesia the growth of motor vehicle is very rapid, even reaching 10 percent per year. With the high value of the development of this motor vehicle, the number of accidents also increases. The cause of the accident is not only from the error engine but also it can be caused by the driver fault. The driver should be given more attention and information about the rule and how to ride the motor vehicles well. Sometimes the experience is needed to learn how to act in the different condition when the driver drives the motor vehicle. This paper implements the technology of Virtual Reality for the simulation of overtaking. There are two additional devices used in this research. There are the Steering Wheel and the Oculus Rift. This research aims to explore the VR technology and explore the implementation of the Steering Wheel and the Oculus Rift in overtaking simulation game.
A TOPSIS AND ELECTRE COMPARISON ANALYSIS ON WEB-BASED SOFTWARE Rivensin Rivensin; Deny Jollyta
Jurnal Ilmiah Kursor Vol 11 No 1 (2021)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21107/kursor.v11i1.253

Abstract

Methods in the Decision Support System (DSS) have their own techniques in solving organizational problems. Determining the appropriate DSS method with the problem is a common difficulty experienced by organizations. The performance of a DSS method can be measured in various ways. This research aims to determine the performance of the two DSS methods, specifically Technique for Others Preference by Similarity to Ideal Solution (TOPSIS) and Election at Choix Traduisant La Realite (ELECTRE) which are applied to the best lecturer selection system. The research was carried out on software designed using efficiency as one of the International Organization for Standardization (ISO) 9126. The performance of both methods tested on validity and sensitivity testing. The results showed that the TOPSIS performance was better in terms of efficiency and sensitivity. TOPSIS execution time is 0.0085 seconds faster and has a greater sensitivity value of 2.18% compared to ELECTRE. Validity result gave the best results reaching 100% to ELECTRE. That means, the ELECTRE calculation can be trusted because it has a perfect level of accuracy.
SOLAR STORM TYPE CLASSIFICATION USING PROBABILISTIC NEURAL NETWORK COMPARED WITH THE SELF-ORGANIZING MAP Gregorius S. Budhi; Rudy Adipranata; Bambang Setiahadi; Adrian H. N
Jurnal Ilmiah Kursor Vol 6 No 4 (2012)
Publisher : Universitas Trunojoyo Madura

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Abstract

Salah satu tugas LAPAN adalah melakukan pengamatan dan peramalan gangguan badai matahari. Gangguan ini dapat mempengaruhi medan elektromagnet bumi sehingga mengacaukan peralatan elektronik dan navigasi yang ada di bumi. Hal ini akan dapat membahayakan kehidupan manusia bila tidak diantisipasi dengan benar. LAPAN menginginkan adanya aplikasi komputer yang secara otomatis dapat mengklasifikasi tipe badai matahari, yang menjadi bagian dari sistem early warning yang akan dibuat. Oleh sebab itu kami dari Universitas Kristen Petra program studi Teknik Informatika dan Lembaga Penerbangan dan Antariksa Nasional melakukan penelitian bersama tentang klasifikasi badai matahari. Klasifikasi dilakukan terhadap citra digital badai matahari / kelompok bintik matahari ini berbasis pada sistem klasifikasi ”Modified - Zurich Sunspot Classification” yang banyak digunakan. Metode klasifikasi yang kami gunakan disini adalah Jaringan Saraf Tiruan Probabilistik. Hasil dari pengujian cukup menjanjikan karena memiliki akurasi sebesar 94% untuk data testing. Akurasi ini lebih baik dari akurasi aplikasi serupa yang dibangun dengan kombinasi metode Self-Organizing Map dan K-Nearest Neighbor. Kata kunci: Klasifikasi Tipe Badai Matahari, Sistem Klasifikasi Modified - Zurich Sunspot Classification, Jaringan Syaraf Tiruan Probabilistik. Abstract One of the task of the LAPAN is making obsevation and forecasting of solar storms disturbance. This disturbances can affect the earth's electromagnetic field that disrupt the electronic and navigational equipment on earth. It would be dangerous to human life if not properly anticipated. LAPAN wanted a computer application that can automatically classify the type of solar storms, which became part of early warning systems to be created. Therefore we from Petra Christian University Informatics Engineering Department and the Indonesian National Aeronautics and Space Agency conduct joint research on the classification of solar storms. The classification of the digital images of solar storm / sunspot groups is based on “Modified - Zurich Sunspot Classification System” which is widely used. Classification method that we use here is the Probabilistic Neural Networks. The result of testing is promising because it has an accuracy of 94% for testing data. The accuracy is better than the accuracy of similar applications we've built with a combination of methods Self-Organizing Map and KNearest Neighbor.
A NEW APPROACH OF LEARNERS' ASSESSMENT USING BLOOM'S TAXONOMY-BASED SERIOUS GAME I.N Sukajaya; S. M Susiki Nugroho; I. K.E Purnama; M. Hery Purnomo
Jurnal Ilmiah Kursor Vol 8 No 2 (2015)
Publisher : Universitas Trunojoyo Madura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28961/kursor.v8i2.66

Abstract

This paper describes: a scenario, agent specification, mapping of knowledge domain, an implementation of Bloom's taxonomy-based serious game (BoTySeGa), and players' response against the game. The development of BoTySeGa is pursued to the availability of an alternative assessment tool for learning in elementary school. It considers aspects: game knowledge, subject matter of parallelogram for 5th grade elementary school learners, and cognitive domain of Bloom's taxonomy. BoTySeGa's level of challenge is structured accommodates cognitive domain of Bloom for elementary school learners (knowledge, comprehension, application). To make sure that all functions and features work well; we conducted user acceptance test against the game prototype. We also took players' response to BoTySeGa utilizing five-points Likert-type of questionnaire. The questions are distributed in 15 items. User acceptance testing involving 85 learners of 5th grade elementary school shows that BoTySeGa has fulfilled the learning assessment requirement. With the response score ranged from 5 to 75; it is found that the average score of players' response to the implementation of BoTySeGa in learning is 59.93. This response value falls within "Positive" category.

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