Indonesian Journal on Computing (Indo-JC)最新文献

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An enthalpy-based finite element method for solving two-phase Stefan problem 基于焓的有限元法求解两相Stefan问题
Indonesian Journal on Computing (Indo-JC) Pub Date : 2019-03-22 DOI: 10.21108/INDOJC.2019.4.1.252
D. Tarwidi
{"title":"An enthalpy-based finite element method for solving two-phase Stefan problem","authors":"D. Tarwidi","doi":"10.21108/INDOJC.2019.4.1.252","DOIUrl":"https://doi.org/10.21108/INDOJC.2019.4.1.252","url":null,"abstract":"Stefan problem is a problem involving phase transition from solid to liquid or vice versa where boundary between solid and liquid regions moves as function of time. This paper presents numerical solution of one-dimensional two-phase Stefan problem by using finite element method. The governing equations involved in Stefan problem consist of heat conduction equation for solid and liquid regions, and also transition equation in interface position (moving boundary). The equations are difficult to solve by ordinary numerical method because of the presence of moving boundary. As consequence, the equations is reformulated into the form of internal energy (enthalpy). By the enthalpy formulation, solution of the heat conduction equations is no longer concerning the phase state of material. The advantage of the enthalpy formulation is that, finite element method can be easily implemented to solve Stefan problem. Numerical simulation of interface position, temperature profile, and temperature history has good agreement with the exact solution. The approximation of interface position using finite element method was found that it is more accurate than the approximation by using Godunov method. The simulation results also reveal that the finite element method for solving Stefan problem have smaller mean absolute error than the Godunov method.","PeriodicalId":289437,"journal":{"name":"Indonesian Journal on Computing (Indo-JC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117054794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Klasifikasi Nada Sesuai Kodàly Handsign Dengan Metode K-Nearest Neighbor Pada Leap Motion Controller
Indonesian Journal on Computing (Indo-JC) Pub Date : 2019-03-22 DOI: 10.21108/INDOJC.2019.4.1.269
Muhammad Croassacipto, M. Ichwan, Dina Budhi Utami
{"title":"Klasifikasi Nada Sesuai Kodàly Handsign Dengan Metode K-Nearest Neighbor Pada Leap Motion Controller","authors":"Muhammad Croassacipto, M. Ichwan, Dina Budhi Utami","doi":"10.21108/INDOJC.2019.4.1.269","DOIUrl":"https://doi.org/10.21108/INDOJC.2019.4.1.269","url":null,"abstract":"Tangan dapat menghasilkan berbagai pose di mana setiap pose dapat memiliki makna atau tujuan yang dapat digunakan sebagai bentuk komunikasi ditentukan sesuai kesepakatan umum atau siapa yang berkomunikasi. Pose tangan dapat digunakan sebagai interaksi manusia dengan komputer yang lebih cepat, intuitif dan sesuai dengan fungsi alami dari tubuh manusia yang disebut Handsign. Salah satunya adalah Kodály Handsign yang dibuat oleh seorang komposer Hungaria bernama Zoltán Kodály yang merupakan konsep dalam pendidikan musik di Hungaria. Pendekatan langsung ini digunakan dalam pertunjukan angklung interaktif dalam menentukan nada yang akan dimainkan dengan algoritma K-Nearest Neighbor (KNN) untuk proses klasifikasi berdasarkan pose tangan. Proses klasifikasi ini dilakukan pada data yang diekstrak dari Leap Motion Controller yang mengambil nilai Pitch, Roll dan Yaw berdasarkan prinsip dasar pesawat. Hasil penelitian dilakukan sebanyak 5 kali dengan nilai k secara periodik 1,3,5,7,9 dengan data uji beruapa pose yang terdiri dari 1004 Do, 891 Re, 526 Mi, 661 Fa, 612 Sol, 913 La, 702 Si dan 874 Do' terhadap 21099 data latih. Hasil tes dapat mengenali pose tangan dengan nilai k optimal  k=1 dengan tingkat akurasi 94,87%.","PeriodicalId":289437,"journal":{"name":"Indonesian Journal on Computing (Indo-JC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116207828","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Pemodelan Produksi Biogas pada Reaktor Tipe Batch Menggunakan Metode Hamming Predictor-Corrector 用预制反冲器方法对反应堆类型的沼气生产进行建模
Indonesian Journal on Computing (Indo-JC) Pub Date : 2019-03-22 DOI: 10.21108/INDOJC.2019.4.1.138
Ali Assegaf, Rian Febrian Umbara, Isman Kurniawan
{"title":"Pemodelan Produksi Biogas pada Reaktor Tipe Batch Menggunakan Metode Hamming Predictor-Corrector","authors":"Ali Assegaf, Rian Febrian Umbara, Isman Kurniawan","doi":"10.21108/INDOJC.2019.4.1.138","DOIUrl":"https://doi.org/10.21108/INDOJC.2019.4.1.138","url":null,"abstract":"Penelitian ini memiliki tujuan untuk membuat sebuah model prediksi hasil produksi biogas pada reaktor tipe batch. Simulasi pencernaan anaerobik akan glukosa sebagai substrat utama dengan konsentrasi awal 500 mgCOD/l, dan simulasi akan dilakukan selama 120 jam. Dalam penelitian ini juga bertujuan untuk mengetahui konsentrasi mikroorganisme yang terlibat dalam proses pencernaan anaerobik, serta akan dilakukan beberapa analisis seperti perbandingan metana yang dihasilkan pada simulasi dan eksperimen, pengaruh jumlah iterasi terhadap waktu yang dibutuhkan untuk melakukan running program, perbandingan jumlah glukosa dan mikroorganisme yang digunakan dalam simulasi terhadap jumlah metana yang akan dihasilkan. Untuk memprediksi jumlah produksi biogas, terdapat sebuah model yang umum digunakan yaitu Anaerobic Digestion Model No 1 (ADM1). ADM1 dikembangkan oleh Asosiasi Water International (IWA) pada tahun 2002. Agar mendapatkan model yang memiliki akurasi yang tinggi akan digunakan sebuah metode numerik yaitu Hamming Predictor-Corrector. Setelah simulasi pencernaan anaerobik dilakukan, metana yang dihasilkan sebesar 417,48 MgCOD/l. Lalu mikroorganisme glukosa mengalami pertumbuhan yang maksimum jika dibandingkan dengan mikroorganisme lain yaitu sebesar 77 MgCOD/l. Konsentrasi awal substrat glukosa dan konsentrasi mikroorganisme yang digunakan pada proses simulasi sangat berpengaruh terhadap jumlah metana yang dihasilkan. Namun untuk konsentrasi awal mikroba yang lebih dari 30 MgCOD/l, cenderung menghasilkan metana yang konstan.","PeriodicalId":289437,"journal":{"name":"Indonesian Journal on Computing (Indo-JC)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129304169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Aerial Image Segmentation with Clustering Using Fireworks Algorithm 基于Fireworks算法的航空图像聚类分割
Indonesian Journal on Computing (Indo-JC) Pub Date : 2019-03-22 DOI: 10.21108/INDOJC.2019.4.1.245
Muhammad Hariz Arasy, S. Suyanto, Kurniawan Nur Ramadhani
{"title":"Aerial Image Segmentation with Clustering Using Fireworks Algorithm","authors":"Muhammad Hariz Arasy, S. Suyanto, Kurniawan Nur Ramadhani","doi":"10.21108/INDOJC.2019.4.1.245","DOIUrl":"https://doi.org/10.21108/INDOJC.2019.4.1.245","url":null,"abstract":"Aerial images has different data characteristics when compared to other types of images. An aerial image usually contains small insignificant objects that can cause errors in the unsupervised segmentation method. K-means clustering, one of the widely used unsupervised image segmentation methods, is highly vulnerable to local optima. In this study, Adaptive Fireworks Algorithm (AFWA) is proposed as an alternative to the K-means algorithm in optimizing the clustering process in the cluster-based segmentation method. AFWA is then applied to perform aerial image segmentation and the results are compared with K-means. Based on the comparison using Probabilistic Rand Index (PRI) and Variation of Information (VI) evaluation metrics, AFWA produces an overall better segmentation quality.","PeriodicalId":289437,"journal":{"name":"Indonesian Journal on Computing (Indo-JC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117064781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Pairwise Preference Regression on Movie Recommendation System 电影推荐系统的两两偏好回归
Indonesian Journal on Computing (Indo-JC) Pub Date : 2019-03-22 DOI: 10.21108/INDOJC.2019.4.1.255
Rita Rismala, R. Prabowo, A. Wibowo
{"title":"Pairwise Preference Regression on Movie Recommendation System","authors":"Rita Rismala, R. Prabowo, A. Wibowo","doi":"10.21108/INDOJC.2019.4.1.255","DOIUrl":"https://doi.org/10.21108/INDOJC.2019.4.1.255","url":null,"abstract":"Recommendation System is able to help users to choose items, including movies, that match their interests. One of the problems faced by recommendation system is cold-start problem. Cold start problem can be categorized into three types, they are: recommending existed item for new user, recommending new item for existed user, and recommending new item for new user. Pairwise preference regression is a method that directly deals with cold-start problem. This method can suggest a recommendation, not only for users who have no historical rating, but also for those who only have less demographic info. From the experiment result, the best score of Normalized Discounted Cumulative Gain (nDGC) from the system is 0.8484. The standard deviation of rating resulted by the recommendation system is 1.24, the average is 3.82. Consequently, the distribution of recommendation result is around rating 5 to 3. Those results mean that this recommendation system is good to solving cold-start problem in movie recommendation system.","PeriodicalId":289437,"journal":{"name":"Indonesian Journal on Computing (Indo-JC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130050668","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Study on the Effect of Preprocessing Methods for Spam Email Detection 预处理方法在垃圾邮件检测中的效果研究
Indonesian Journal on Computing (Indo-JC) Pub Date : 2019-03-22 DOI: 10.21108/INDOJC.2019.4.1.284
F. Z. Ruskanda
{"title":"Study on the Effect of Preprocessing Methods for Spam Email Detection","authors":"F. Z. Ruskanda","doi":"10.21108/INDOJC.2019.4.1.284","DOIUrl":"https://doi.org/10.21108/INDOJC.2019.4.1.284","url":null,"abstract":"The use of email as a communication technology is now increasingly being exploited. Along with its progress, email spam problem becomes quite disturbing to email user. The resulting negative impacts make effective spam email detection techniques indispensable. A spam email detection algorithm or spam classifier will work effectively if supported by proper preprocessing steps (noise removal, stop words removal, stemming, lemmatization, term frequency). This research studies the effect of preprocessing steps on the performance of supervised spam classifier algorithms. Experiments were conducted on two widely used supervised spam classifier algorithms: Naïve Bayes and Support Vector Machine. The evaluation is performed on the Ling-spam corpus dataset and uses evaluation metrics: accuracy. The experimental results show that different preprocessing steps give different effects to different classifier.","PeriodicalId":289437,"journal":{"name":"Indonesian Journal on Computing (Indo-JC)","volume":"218 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114680498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 14
Modeling The Effect of Particle Size on Magnetic Nanoparticles using Modified Ising Model 用修正的Ising模型模拟粒径对磁性纳米颗粒的影响
Indonesian Journal on Computing (Indo-JC) Pub Date : 2019-03-22 DOI: 10.21108/INDOJC.2019.4.1.299
C. Naa
{"title":"Modeling The Effect of Particle Size on Magnetic Nanoparticles using Modified Ising Model","authors":"C. Naa","doi":"10.21108/INDOJC.2019.4.1.299","DOIUrl":"https://doi.org/10.21108/INDOJC.2019.4.1.299","url":null,"abstract":"<div class=\"page\" title=\"Page 1\"><div class=\"layoutArea\"><div class=\"column\"><p><span>In this article, the Ising model has been modified to simulate the effect of particle size on magnetic nanoparticles properties especially hole-doped manganites. The objective of this research is to give an insight and clear understanding about magnetic nanoparticles especially the effect of the particle size. The model considers common accepted magnetic nanoparticles theoretical model where each particle consists of core and surface/boundary part. The model mimics the particles size as a clusters or group of spins. The spins were designated as either core or boundary particles and differs for their exchange energy. The model predicts magnetization, coercivity, hysteresis and magnetic characteristics of core and boundary of the nanoparticles. The results are in a good agreement qualitatively with experimental results. The model also gives insight to the micro-states of the spin at each clusters for zero-field-cooled experiment.</span></p></div></div></div>","PeriodicalId":289437,"journal":{"name":"Indonesian Journal on Computing (Indo-JC)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125905073","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Implementasi untuk Meningkatkan Keamanan Jaringan Menggunakan Deep Packet Inspection pada Software Defined Networks
Indonesian Journal on Computing (Indo-JC) Pub Date : 2019-03-22 DOI: 10.21108/INDOJC.2019.4.1.286
Danaswara Prawira Harja, Andrian Rakhmatsyah, Muhammad Arief Nugroho
{"title":"Implementasi untuk Meningkatkan Keamanan Jaringan Menggunakan Deep Packet Inspection pada Software Defined Networks","authors":"Danaswara Prawira Harja, Andrian Rakhmatsyah, Muhammad Arief Nugroho","doi":"10.21108/INDOJC.2019.4.1.286","DOIUrl":"https://doi.org/10.21108/INDOJC.2019.4.1.286","url":null,"abstract":"AbstractToday, Software Defined Network (SDN) has been globally recognized as a new technology for network architecture. But, there is still lack in security. Many studies use methods such as the Intrusion Prevention System (IPS) and Intrusion Detection System (IDS) to deal with social problems. But there is still a lack of security in terms of network performance. To solve the problem, can be used Deep Packet Inspection method (DPII) which make administrators can directly know what happens to traffic in real time. In this research, DPI will be implemented as security method and tested with Denial of Service (DoS) attack with Direct Attack. The results of testing on SDN networks that have been added DPI can perform packet detection such as IDS and blocking such as IPS with good performance time in overcoming attack.Keywords: SDN, DPI, DoS attack, Direct Attack, performance","PeriodicalId":289437,"journal":{"name":"Indonesian Journal on Computing (Indo-JC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123130874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Penerapan Metode AHP dan COPRAS-G untuk Menentukan Prioritas Perbaikan Drainase Pada Jalan Nasional Di Kota Bandung 采用AHP方法和coprasg方法,以确定万隆国家街道的排水改善优先事项
Indonesian Journal on Computing (Indo-JC) Pub Date : 2019-03-22 DOI: 10.21108/INDOJC.2019.4.1.261
Aditya Arif Budi Utama
{"title":"Penerapan Metode AHP dan COPRAS-G untuk Menentukan Prioritas Perbaikan Drainase Pada Jalan Nasional Di Kota Bandung","authors":"Aditya Arif Budi Utama","doi":"10.21108/INDOJC.2019.4.1.261","DOIUrl":"https://doi.org/10.21108/INDOJC.2019.4.1.261","url":null,"abstract":"Drainase merupakan salah satu bangunan pelengkap jalan berfungsi untuk mengurangi dan membuang kelebihan air dari suatu kawasan atau lahan, sehingga lahan dapat difungsikan secara optimal. Namun apabila terjadi kerusakan pada drainase maka kerusakan tersebut dapat menyebabkan bencana seperti banjir yang dapat mengakibatkan rusaknya struktur jalan, sehingga diperlukan pemeliharaan agar drainase tetap dapat berfungsi dengan baik. Namun pemeliharaan infrastruktur dibatasi oleh jumlah dana, waktu dan sumber daya. Keterbatasan tersebut mengakibatkan ketimpangan pengambilan keputusan dalam penentuan prioritas perbaikan drainase. Untuk menentukan prioritas perbaikan tersebut digunakan metode Analytic Hierarchy Process (AHP) untuk menghitung bobot setiap kriteria, metode COmplex PRoportional ASsessment of alternatives with Grey relations (COPRAS-G) untuk mendapatkan urutan prioritas perbaikan drinase dan metode Mean Absolute Error (MAE) untuk mendapatkan nilai akurasi. Dari hasil penelitian diperoleh bobot setiap kriteria, kriteria pertama adalah Tingkat Kerusakan Drainase dengan bobot 0,71, Volume Kerusakan Drainase dengan bobot 0,20 dan kriteria ketiga Waktu Perbaikan Drainase dengan bobot 0,09. Dengan nilai CR 0,083 menunjukkan bahwa matriks kriteria adalah konsisten. Hasil akurasi dari perbandingan prioritas perbaikan drainase antara PPK PJN Metropolitan Bandung dan COPRAS-G sebesar 100%. Studi kasus jalan Soekarno-Hatta di kota Bandung.","PeriodicalId":289437,"journal":{"name":"Indonesian Journal on Computing (Indo-JC)","volume":"62 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128531729","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 3
Klasifikasi Gender Berdasarkan Suara Menggunakan Support Vector Machine
Indonesian Journal on Computing (Indo-JC) Pub Date : 2019-03-22 DOI: 10.21108/INDOJC.2019.4.1.244
R. B. Handoko, S. Suyanto
{"title":"Klasifikasi Gender Berdasarkan Suara Menggunakan Support Vector Machine","authors":"R. B. Handoko, S. Suyanto","doi":"10.21108/INDOJC.2019.4.1.244","DOIUrl":"https://doi.org/10.21108/INDOJC.2019.4.1.244","url":null,"abstract":"Klasifikasi gender berdasarkan suara mempengaruhi tingkat performansi dari identifikasi suara. oleh karena itu penelitian tugas akhir ini penulis membuat sistem klasifikasi gender berdasarkan suara. penelitian ini menggunakan dataset berupa rekaman suara sebanyak 2260 suara yang terbagi menjadi dua kelas yaitu \"laki-laki\" dan \"perempuan\". Untuk proses ekstrasi ciri digunakan Mel-Frequency Cepstral (MFCC) untuk menghasilkan vektor ciri dari sinyal suara. dalam proses klasifikasi digunakan metode Support Vector Machine (SVM). Hasil akurasi SVM tertinggi untuk klasifikasi gender berdasarkan suara dapat mencapai 100% menggunakan kernel Polynomial dengan degree = 1.","PeriodicalId":289437,"journal":{"name":"Indonesian Journal on Computing (Indo-JC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122485708","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 4
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