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All Journal International Journal of Electrical and Computer Engineering IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Jurnal Informatika Dinamik Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Proceedings of Annual International Conference Syiah Kuala University - Life Sciences & Engineering Chapter Proceedings of KNASTIK TELKOMNIKA (Telecommunication Computing Electronics and Control) Jurnal Informatika JSI: Jurnal Sistem Informasi (E-Journal) Jurnal Teknologi Jurnal Inovasi Teknologi Pendidikan JUITA : Jurnal Informatika International Journal of Advances in Intelligent Informatics Seminar Nasional Informatika (SEMNASIF) Jurnal IPTEK-KOM (Jurnal Ilmu Pengetahuan dan Teknologi Komunikasi) Proceeding of the Electrical Engineering Computer Science and Informatics Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Journal of Information Technology and Computer Science SISFOTENIKA Jurnal TAM (Technology Acceptance Model) Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Edumaspul: Jurnal Pendidikan Indonesian Journal of Electrical Engineering and Computer Science Jurnal Nasional Teknik Elektro dan Teknologi Informasi Journal of Social Science Wahana Islamika: Jurnal Studi Keislaman Jurnal TAM (Technology Acceptance Model)
Khabib Mustofa
Department Of Computer Science & Electronics, Universitas Gadjah Mada, Yogyakarta, Indonesia.
Religion Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Library & Information Science Mechanical Engineering Social Sciences Other

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Pengukuran Fungsionalitas Perangkat Lunak Menggunakan Metode Function Point Berdasarkan Dokumentasi Desain Anie Rose Irawati; Khabib Mustofa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 7, No 2 (2013): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.3348

Abstract

AbstrakPerkiraan nilai perangkat lunak yang disepakati oleh end user dan tim pengembang harus dinyatakan dalam besaran tertentu, salah satunya adalah dalam u ku ran fungsionalitas (functional size measurement/FSM).Metode Function Point (FP) merupakan salah satu metode yang digunakan untuk mendapatkan ukuran fungsionalitas, pertama kali dikenalkan oleh Allan Albrecht dan kemudian terus dikembangkan sampai saat ini oleh International Function Point User Goup (IFPUG). Tujuan dari pengukuran menggunakan FP adalah untuk mendapatkan ukuran biaya, durasi, dan jumlah sumber daya yang diperlukan oleh sebuah proyek perangkat lunak dan dapat dilakukan pada setiap tahap pengembangan perangkat lunak. Pengukuran FP memerlukan keahlian dalam hal analisis perangkat lunak dan hasil perhitungannya dinyatakan valid jika dilakukan oleh seseorang yang mempunyai sertifikasi FP (certified FP) dari IFPUG.Penelitian ini bertujuan untuk membangun sebuah sistem yang dapat memberikan kemudahan bagi pelaku pengukuran perangkat lunak dalam menganalisis perangkat lunak dengan metode Function Point berdasarkan pada IFPUG CPM 4.3.1.Penelitian ini menghasilkan sistem yang membantu pengguna untuk melakukan analisis FP dengan cepat dan dengan validitas yang tinggi. Sistem yang dibuat mampu menghitung FP sesuai dengan dokumentasi yang dimiliki software dan menggunakan input berupa dokumen XMI yang di-eksport dari Use Case Diagram, Class Diagram dan perpaduan antara Use Case dan Class. Selain itu, penelitian ini menunjukkan pola bahwa semakin lengkap dokumen UML (Unified Modeling Language) yang dimiliki oleh sebuah perangkat lunak maka semakin akurat hasil perhitungan FP yang didapatkan. Kata kunci— Pengukuran perangkat lunak, UML, Function Point, dokumentasi desain perangkat lunak.  AbstractEstimated value of software as agreed by the end user and the developer team should be expressed in a certain magnitude, one of which is the measure of functionality (functional size measurement / FSM).Function Point (FP) Method is one of the methods used to obtain the size of the functionality, first introduced by Allan Albrecht and then further developed by the International Function Point User Goup (IFPUG). FP is a method to get a measure of the cost, duration, and amount of resources required by a software project and can be done at any stage of software development. However, Function Point measurement requires expertise in software analysis and the results of the calculation are valid if done by someone with IFPUG certification.This study realizes a system that is convenient for actors in analyzing software using Function Point method based on IFPUG CPM 4.3.1.The system helps users to perform FP analysis in a faster way and confers accurate results. The system is able to count FP based on software design documentation and uses XMI document exported from use case diagrams, class diagrams, and diagrams illustrating the use cases and classes relationship as an input. The study also indicates that the more complete software UML (Unified Modeling Language) documents, the more accurate the FP calculation results obtained. Keywords— Software measurement, UML, Function Point, software design documentation.
Perancangan dan Analisis Kinerja Private Cloud Computing dengan Layanan Infrastructure-As-A-Service (IAAS) Wikranta Arsa; Khabib Mustofa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 8, No 2 (2014): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.6544

Abstract

AbstrakMesin server merupakan salah satu penunjang dan komponen utama yang harus ada dalam mengembangkan suatu karya ilmiah dengan berbasis web. Mahalnya server menjadi kendala mahasiswa/mahasiswi dalam menghasilkan suatu karya ilmiah. Konfigurasi server yang dapat dilakukan dimana saja dan kapan saja menjadi sebuah keinginan mendasar, selain pemesanan mesin yang mudah, cepat dan fleksibel. Untuk itu  diperlukan sebuah sistem yang dapat menangani permasalahan tersebut. Cloud computing  dengan layanan Infrastructure-As-A-Serveice (IAAS) dapat menyediakan sebuah infrastruktur yang handal. Untuk mengetahui kinerja sistem diperlukan suatu analisis performance antara server cloud (instance) dengan server konvensional. Hasil penelitian dari analisis kinerja private cloud computing dengan layanan Infrastructure-As-A-Service (IAAS) ini menunjukkan bahwa perbandingan kinerja satu server cloud atau server virtual cloud dengan satu server konvensional tidak jauh berbeda namun akan terlihat perbedaan kinerja yang signifikan jika dalam satu server node terdapat lebih sari satu server virtual dan sistem ini memberikan tingkat penggunaan resource server yang lebih maksimal.Kata kunci—Cloud Computing, Infrastructure As-A-Service (IAAS), analisis Performance. Abstract Server machine is one of the main components in supporting and developing a web-based scientific work. The high price of the server to be the main obstacle in the student produced a scholarly work. Server configuration that can be done anywhere and anytime to be a fundamental desire, in addition to the booking engine is easy, fast, and flexible is also highly desirable. For that we need a system that can handle these problems. Cloud computing with Infrastructure-As-A-Serveice (IAAS) can provide a reliable infrastructure. To determine the performance of the system, we required a performance analysis of cloud server between conventional servers. Results of performance analysis of private cloud computing with Infrastructure-As-A-Service (IAAS) indicate that the cloud server performance comparison with conventional server is not too much different and the system resource usage level servers provide more leverage. Keyword—Cloud Computing, Infrastructure As-A-Service (IAAS), Performance Analysis. 
Purwarupa Framework Aplikasi Desktop Menggunakan Teknologi Web Firmansyah Adiputra; Khabib Mustofa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 9, No 1 (2015): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.6637

Abstract

AbstrakAplikasi desktop adalah aplikasi yang berjalan lokal dalam lingkungan desktop dan hanya dapat diakses oleh pengguna desktop. Ini berbeda dengan aplikasi web yang dapat diakses dari manapun melalui jaringan. Namun tidak seperti halnya aplikasi desktop, aplikasi web yang berjalan di atas web browser tidak dapat berintegrasi dengan aplikasi desktop yang berjalan pada sisi klien.Dalam penelitian ini dibangun purwarupa framework yang diberi nama HAF (Hybrid Application Framework). HAF digunakan untuk mengembangkan dan mengeksekusi jenis aplikasi desktop baru yang diberi nama HyApp (Hybrid Application). Melalui HAF, HyApp dibangun menggunakan teknologi web dan dapat diakses secara lokal maupun melalui jaringan. Saat diakses secara lokal, walaupun dikembangkan dengan teknologi web, HyApp dapat berkomunikasi dengan aplikasi desktop lainnya. Selain itu, melalui API yang disediakan oleh HAF, HyApp akan dapat menerapkan perilaku yang berbeda berdasarkan modus pengaksesan yang dilakukannya. Kata kunci—framework, aplikasi desktop, aplikasi web    AbstractDesktop application is an application that runs locally in a desktop environment and can be accessed only by desktop users. It differs from web application which can be accessed from anywhere through networks. But unlike desktop applications, web applications cannot integrate nicely with desktop applications from where it is accessed.This research developes a prototype of framework which is named HAF (Hybrid Application Framework). HAF is used for developing and executing a new type of desktop application, named HyApp (Hybrid Application). Through HAF, HyApp is built using web technologies and can be accessed either locally or from networks. When accessed locally, even though it is built using web technologies, it still can communicate with other desktop applications. Also by using APIs provided by HAF, HyApp is capable to behave differently based on whether it is accessed locally or remotely. Keywords—framework, desktop applications, web applications
Ekstraksi Informasi Halaman Web Menggunakan Pendekatan Bootstrapping pada Ontology-Based Information Extraction Erma Susanti; Khabib Mustofa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 9, No 2 (2015): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.7540

Abstract

AbstrakEkstraksi  informasi  merupakan suatu bidang ilmu untuk pengolahan bahasa alami, dengan cara mengubah teks tidak terstruktur menjadi informasi dalam bentuk terstruktur. Berbagai jenis informasi di Internet ditransmisikan secara tidak terstruktur melalui website, menyebabkan munculnya kebutuhan akan suatu teknologi untuk menganalisa teks dan menemukan pengetahuan yang relevan dalam bentuk informasi terstruktur. Contoh informasi tidak terstruktur adalah informasi utama yang ada pada konten halaman web. Bermacam pendekatan untuk ekstraksi informasi telah dikembangkan oleh berbagai peneliti, baik menggunakan metode manual atau otomatis, namun masih perlu ditingkatkan kinerjanya terkait akurasi dan kecepatan ekstraksi. Pada penelitian ini diusulkan suatu penerapan pendekatan ekstraksi informasi dengan mengkombinasikan pendekatan bootstrapping dengan Ontology-based Information Extraction (OBIE). Pendekatan bootstrapping dengan menggunakan sedikit contoh data berlabel, digunakan untuk memimalkan keterlibatan manusia dalam proses ekstraksi informasi, sedangkan penggunakan panduan ontologi untuk mengekstraksi classes (kelas), properties dan instance digunakan untuk menyediakan konten semantik untuk web semantik. Pengkombinasian kedua pendekatan tersebut diharapkan dapat meningkatan kecepatan proses ekstraksi dan akurasi hasil ekstraksi. Studi kasus untuk penerapan sistem ekstraksi informasi menggunakan dataset “LonelyPlanet”. Kata kunci—Ekstraksi informasi, ontologi, bootstrapping, Ontology-Based Information Extraction, OBIE, kinerja Abstract Information extraction is a field study of natural language processing by converting unstructured text into structured information. Several types of information on the Internet is transmitted through unstructured information via websites, led to emergence of the need a technology to analyze text and found relevant knowledge into structured information. For example of unstructured information is existing main information on the content of web pages. Various approaches  for information extraction have been developed by many researchers, either using manual or automatic method, but still need to be improved performance related accuracy and speed of extraction. This research proposed an approach of information extraction that combines bootstrapping approach with Ontology-Based Information Extraction (OBIE). Bootstrapping approach using small seed of labelled data, is used to minimize human intervention on information extraction process, while the use of guide ontology for extracting classes, properties and instances, using for provide semantic content for semantic web. Combining both approaches expected to increase speed of extraction process and accuracy of extraction results. Case study to apply information extraction system using “LonelyPlanet” datasets. Keywords— Information extraction, ontology, bootstrapping, Ontology-Based Information Extraction, OBIE, performance
Pencarian Lowongan Pekerjaan Berbasis Agen Berdasarkan Profil Pencari Kerja dengan Pendekatan Semantic Web Service Teguh Susyanto; Khabib Mustofa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 10, No 1 (2016): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.12734

Abstract

Currently, job searching service still has many weaknesses and often fails to provide relevant job information that matches the needs of job seekers. This is due to the searching method applied in the search engines still uses the syntax-based matching and the lack of integration among the job service providers. Therefore it’s difficult for the job seekers to get the desired information. To overcome these weaknesses, a prototype of a job vacancy searching by involving a web service as a job information provider is proposed.This thesis is aimed to create job search based on the personalization of job seeker by combining multi agent  and semantic web service approaches.The designing of the prototype used a multiagent technology whose capability was to call job service provider and run matching process of the job vacancy appropriate with the job seeker’s profile automatically. Algorithm of the service selection used service matching and Simple Additive Weighting. The similary between the job offer and the job seeker’s profile was calculated by using semantic algorithm. Based on the testing carried out to the respondents, it’s stated that this prototype has been able to give recommendation of job appropriate with the job seeker’s.
Platform Gamifikasi untuk Perkuliahan David Kristiadi; Khabib Mustofa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 11, No 2 (2017): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.17053

Abstract

Gamification in lecturing has a lot of variety designs. A flexible platform is needed for that matter. This research aims to develop a gamification platform for lecturing that flexible, has a good performance and acceptable by users.Generic Gamification Platform (GGP) concept is used to develop platform. GGP is a kind of gamification solution that applies service oriented architecture Architecture (SOA) principles and puts gamification components (data, logic and rewards) and Information System (IS) separately. The platform has some capabilities such as able to manage game mechanics, actions, tasks and rules. The other platform capabilities are able to auto generate rules and to be integrated to IS.The results of tests show that a gamification platform for lecturing can be developed. The platform has a good level of flexibility, has a good performance, and acceptable by users (5 lecturers and 2 non-lecturers but well knowing on lecturing activities). Its flexibility level is 85%. Its average of response time on event execution is lower than 336ms. Its System Usability Scale (SUS) average score is 60 and its acceptability range in low marginal.
Selenium-Based Multithreading Functional Testing Khabib Mustofa; Sunu Pinasthika Fajar
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 12, No 1 (2018): January
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.28121

Abstract

In a software development projects, testing is an activity that can spend time, effort or cost up to 35%. To reduce this, developers can choose automatic testing. Automated testing, especially for functional testing, on web applications can be done by using tools, one of which is Selenium. By default, Selenium testing is done sequentially and without exploiting multithreading, which has an impact a sufficiently long time.In this study, a platform that allows Selenium users to test and utilize multithreading with Ruby language to speed up testing was developed. Thr result shows that Ruby's multithreading has proven to be capable of speeding functional testing up on various web applications. Variations occur depending on the functionality being tested, the testing approach and also the type of browsers used.
A Support Vector Machine-Firefly Algorithm for Movie Opinion Data Classification Styawati Styawati; Khabib Mustofa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 13, No 3 (2019): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.41302

Abstract

The sentiment analysis used in this study is the process of classifying text into two classes, namely negative and positive classes. The classification method used is Support Vector Machine (SVM). The successful classification of the SVM method depends on the soft margin coefficient C, as well as the σ parameter of the kernel function. Therefore we need a combination of SVM parameters that are appropriate for classifying film opinion data using the SVM method. This study uses the Firefly method as an SVM parameter optimization method. The dataset used in this study is public opinion data on several films. The results of this study indicate that the Firefly Algorithm (FA) can be used to find optimal parameters in the SVM classifier. This is evidenced by the results of SVM system testing using 2179 data with nine SVM parameter combinations resulting in 85% highest accuracy, while the FA-SVM system with nine population and generation combinations produces the highest accuracy of 88%. The second test results using 1200 data using the same combination as the one test, the SVM method produces the highest accuracy of 87%, while the FA-SVM method produces the highest accuracy of 89%.
Determination of Temporal Association Rules Pattern Using Apriori Algorithm Shona Chayy Bilqisth; Khabib Mustofa
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 14, No 2 (2020): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.51747

Abstract

A supermarket must have  good business plan in order to meet customer desires. One way that can be done to meet customer desires is to find out the pattern of shopping purchases resulting from processing sales transaction data. Data processing produces information related to the function of the association between items of goods temporarily. Association rules  functions in data mining.Association rule is one of the data mining techniques used to find patterns in combination of transaction data. Apriori algorithm can be used to find association rules. Apriori algorithm is used to find frequent itemset candidates who meet the support count. Frequent itemset that meets the support count is then processed using the temporal association rules method. The function of temporal association rules is as a time limitation in displaying the results of frequent itemsets and association rules. This study aims to produce rules from transaction data, apriori algorithm is used to form temporal association rules. The final results of this research are strong rules, they are rules that always appear in 3 years at certain time intervals with limitation on support and confidence, so that the rules can be used for business plan layout recommendations in Maharani Supermarket Demak.
Comparison of Filter and Wrapper Based Feature Selection Methods on Spam Comment Classification Amalia Nur Anggraeni; Khabib Mustofa; Sigit Priyanta
IJCCS (Indonesian Journal of Computing and Cybernetics Systems) Vol 15, No 3 (2021): July
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijccs.66965

Abstract

The continuous growth of the internet has led to the use of social media for various purposes increase. For instance, some irresponsible parties take advantage of the comment feature on social media platforms to harm others by providing spam comments on the shared object. Furthermore, variation of comments creates many features to be processed, thereby negatively impacting the performance of a classification algorithm. Therefore, this study aims to solve the problem associated with spam comments by comparing filter and wrapper based feature selection using text classification techniques. Data collected from training and test data of 4944 and 100 comments showed that the best accuracy, precision, recall, and f-measure of MNB are 96%, 100%, 92%, and 95.8%. The best accuracy is achieved using feature selection by combining Chi-Square and Sequential Forward Selection methods with a subset of 500 features. Furthermore, the accuracy increase in the MNB and SVM classifications are 8% and 4%. This research concludes that the combination of feature selection improves the classification performance of Indonesian language spam comments.
Co-Authors Adi Nugroho Adi Nugroho Adi Nugroho Agus Harjoko Ahmad Ashari Ahmad Ashari Ahmad Zaeni, Rezi Amalia Nur Anggraeni Anny Kartika Sari Ayunisa, Dini Arifa Azhari Azhari Azhari Bambang Nurcahyo Prastowo David Kristiadi Dedi Rosadi Dewi, Ni Putu Novita Puspa Dian Arymami Dyah Ayu Irawati, Dyah Ayu Edhy Sutanta (Jurusan Teknik Informatika IST AKPRIND Yogyakarta) Edi Faizal Edi Winarko Edi Winarko Eri Zuliarso Erma Susanti Falakhina , Arum Nela Firmansyah Adiputra Galih Hendro Martono Gunawan, Ridowati Hamdani Hamdani Hendra Perdana Herri Setiawan Iman Sanjaya Irawati, Anie Rose Iskandar, Edi Jazi Eko Istiyanto Jazi Eko Istiyanto Kurniasih, Dede Dwi Leu, Yungho Mardhani Riasetiawan Maryono Maryono Miftah Hur Rahman Zh Muhammad Hasbi Mursid Wahyu Hananto Mustakim, M Nur Cholid, Nur Oesman Hendra Kelana Pramusita, Arina Retantyo Wardoyo Retantyo Wardoyo Ridowati Gunawan Rosa Delima S Siswanto Saputra, Alwan Ibnu Saputra, Ibnu Alwan Sari Hernawati Septiliana, Lilla Shona Chayy Bilqisth Sigit Priyanta Solly Aryza Sri Redjeki Sri Redjeki Styawati Styawati Sunu Pinasthika Fajar Teguh Susyanto Tenia Wahyuningrum Tri Kuntoro Priyambodo Wikranta Arsa Winarko, Edi Winarno Sugeng Wiwien Hadikurniawati Yasmi Afrizal Zaeni, Rezi Ahamad Zaeni, Rezi Ahmad