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All Journal Seminar Nasional Aplikasi Teknologi Informasi (SNATI) Perfecting a Video Game with Game Metrics Jurnal Akuntabilitas Manajemen Pendidikan Seminar Nasional Informatika (SEMNASIF) Syntax Literate : Jurnal Ilmiah Indonesia Seminar Nasional Teknologi Informasi Komunikasi dan Industri Journal Information System Development Journal on Education JURISMA: Jurnal Riset Bisnis & Manajemen Jurnal Ilmiah Mandala Education (JIME) Jurnal Pendidikan Academy of Education Journal Jurnal Pendidikan dan Konseling Syntax Idea Jurnal Mnemonic Enrichment : Journal of Management Budapest International Research and Critics Institute-Journal (BIRCI-Journal): Humanities and Social Sciences Prosiding Seminar Nasional Sisfotek (Sistem Informasi dan Teknologi Informasi)
Yugopuspito, Pujianto
Universitas Pelita Harapan
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Identifikasi Data Drifting pada Aplikasi Internet of Things (IoT) Yugopuspito, Pujianto; Kartika, Alessandro Luiz; Murwantara, I Made
Journal Information System Development (ISD) Vol 6, No 2 (2021): Journal Information System Development (ISD)
Publisher : UNIVERSITAS PELITA HARAPAN

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Abstract

Seiring dengan perkembangan teknologi sekaligus meningkatnya kebutuhan akan informasi yang aktual dan nyata, aplikasi IoT pun terus dikembangkan dan menjadi marak di tengah masyarakat. Diperlukannya penelitian yang dapat mengevaluasi data stream yang telah ditangkap sensor dan mengidentifikasi penyimpangan data/concept drift. Penelitian ini menghasilkan dua kesimpulan, yaitu hasil pertama adalah pada tahapan evaluasi data, metode SGD Classifier yang memiliki nilai rata-rata tertinggi dibandingkan metode Hoeffding Tree dan Hoeffding Adaptive Tree pada setiap metrik. Hasil kedua adalah pada tahapan pengidentifikasian penyimpangan data/concept drift, metode Adaptive Windowing (ADWIN) lebih banyak mengidentifikasi penyimpangan data/concept drift dibandingkan dengan metode Page-Hinkley.
An adaptive IoT architecture using combination of concept-drift and dynamic software product line engineering I Made Murwantara; Pujianto Yugopuspito
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 19, No 4: August 2021
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v19i4.19012

Abstract

Internet of things (IoT) architecture needs to adapt autonomously to the environment and operational to maintain their supreme services. One common problem in the IoT architecture is to manage the reliability of data services, such as sensors’ data, that only sending data to the collector via gateway. If there is a disruption of services, then it is not easy to manage the system reliability. To this, an adaptive environment which is based on software reconfiguration creates a great challenge to provide better services. In this work, the software product line engineering (SPLE) reconfigures the edge devices via rules and software architecture. To identify disruption of data services which can be detected based on anomaly and truncated data. Our work makes use of concept drift to provide a recommendation to the system manager. This is important to avoid misconfiguration in the system We demonstrate our method using an open-source internet of things portal system that integrated to a cluster of sensors which is attached to specific gateway before the data are collected into a cloud storage for further processes. In identifying drifting data, the adaptive sliding window (ADWIN) method outperforms the Page-Hinkley (PH) with more selective identification and sensitive reading.
Comparison of machine learning performance for earthquake prediction in Indonesia using 30 years historical data I Made Murwantara; Pujianto Yugopuspito; Rickhen Hermawan
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 18, No 3: June 2020
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v18i3.14756

Abstract

Indonesia resides on most earthquake region with more than 100 active volcanoes,and high number of seismic activities per year. In order to reduce the casualty, some method to predict earthquake have been developed to estimate the seismic movement. However, most prediction use only short term of historical data to predict the incoming earthquake, which has limitation on model performance. This work uses medium to long term earthquake historical data that were collected from 2 local government bodies and 8 legitimate international sources. We make an estimation of a mediumto-long term prediction via Machine Learning algorithms, which are Multinomial Logistic Regression, Support Vector Machine and Na¨ıve Bayes, and compares their performance. This work shows that the Support Vector Machine outperforms other method. We compare the Root Mean Square Error computation results that lead us into how concentrated data is around the line of best fit, where the Multinomial Logistic Regression is 0.777, Na¨ıve Bayes is 0.922 and Support Vector Machine is 0.751. In predicting future earthquake, Support Vector Machine outperforms other two methods that produce significant distance and magnitude to current earthquake report.
Towards Adaptive Sensor-cloud for Internet of Things I Made Murwantara; Hendra Tjahyadi; Pujianto Yugopuspito; Arnold Aribowo; Irene A. Lazarusli
TELKOMNIKA (Telecommunication Computing Electronics and Control) Vol 16, No 6: December 2018
Publisher : Universitas Ahmad Dahlan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/telkomnika.v16i6.11557

Abstract

The emerge of the Internet of Things (IoT) data as a commodity to optimize public services such as Fishing Locator has made sensor-cloud an important object. When sensors that are members of multiple IoT gateways can inter-operate at the same time for more than one application, it will reduce cost to deploy IoT infrastructure. However, reliability has also developed as the most important aspect for real-time data collection that should be streamed constantly. Due to uncertainty factors sensors failure is potentially occurred, then an adaptive approach should be addressed into this as to guarantee the flow of streaming data. This paper proposed an adaptive sensor-cloud mechanism to manage the reliability by using a runtime model approach where a transition model and dynamic software product line engineering will take place to weaving the system. Our technique is comparable to other approaches and can be implemented in many types of Cloud-based services.
PENGEMBANGAN MUSEUM VIRTUAL REALITY BERBASIS INKUIRI DALAM PEMBELAJARAN PENDIDIKAN PANCASILA DAN KEWARGANEGARAAN Mohamad Alfarizi; Pujianto Yugopuspito
Jurnal Pendidikan Vol. 21 No. 2 (2020)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jp.v21i2.974.2020

Abstract

The purpose of this research is to develop a virtual reality (VR) museum modules for a citizenship lesson at Tzu Chi Senior High School Jakarta, Grade 10. The module is about the Indonesian national integration within the Bhinneka Tunggal Ika Framework. This research started with the process of analyzing product specifications, attractiveness, and practicality as an inquiry-based learning activities. a module employing the research and development approach of Borg and Gall. Seventeen students were involved in the field test of the module. The data collection was conducted using observations, interviews, and questionnaires.The data was then analyzed qualitatively and quantitatively. This research shows that students consider the VR museum module as attractive, allowing interactivity between user, the content, and easy to use since it includes clear directions to explore. In conclusion, the VR museum as a learning media can be effectively used in citizenship lesson. Tujuan dari penelitian ini adalah mengembangkan modul museum virtual reality (VR) untuk pembelajaran Pendidikan Pancasila dan kewarganegaraan di Sekolah Menengah Atas Tzu Chi Jakarta kelas 10. Modul tersebut membahas tentang integrasi bangsa Indonesia dalam Kerangka Bhinneka Tunggal Ika. Penelitian ini dimulai dengan proses menganalisis spesifikasi produk, daya tarik, dan kepraktisan sebagai kegiatan pembelajaran berbasis inkuiri. Modul dikembangkan yang menggunakan pendekatan penelitian dan pengembangan Borg dan Gall. Tujuh belas siswa dilibatkan dalam uji lapangan modul. Pengumpulan data dilakukan dengan observasi, wawancara, dan kuesioner, kemudian dianalisis secara kualitatif dan kuantitatif. Penelitian ini menunjukkan bahwa siswa menganggap modul museum VR menarik dan memungkinkan interaktivitas antara pengguna dan konten, siswa dapat dengan mudah menggunakannya karena adanya petunjuk arah yang jelas didalam kegiatan penjelajahan. Kesimpulannya, museum VR sebagai media pembelajaran dapat digunakan secara efektif dan dapat dijadikan sebagai media pembelajaran kewarganegaraan.
Code Generator Python dari Bentuk XML Metadata Interchange (XMI) pada Unified Modeling Language (UML) 2.0 I Made Murwantara; Pujianto Yugopuspito; Johan Julianto Roestam
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2005
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Unified Modeling Language (UML) code generator tools are available to parsing UML diagrams intosource code. Currently, UML 2.0 tools that can parse into Python’s source code are still in work planningphase. This research aims to create UML code generator that can parse XML Metadata Interchange (XMI) intoPython’s source code. XMI defines the design of program using UML 2.0 standard. Design process of thisprototype uses UML standard version 2.0. On this research, algorithm for rules of parsing XMI into Python’ssource code was created.Keywords: UML, Python, Parsing
Prototip Self Assessment Audit ISO 17799 Pujianto Yugopuspito; Susanti Susanti; Sutrisno Sutrisno
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2007
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

This paper presents a web-based application for a self assessment audit tool that is guided by ISO17799guidelines.The ISO17799 is a code of practice for information security management as part of the informationsecurity standard, and provides a set of controls and procedure to achieve security information. This selfassessment audit system shall indicate any security threats based on a pre-defined checklist, which is derivedfrom the implemented audit program of information technology as guided by the ISO17799. Current state of thisdevelopment is limited to Access Control, and System Development & Maintenance categories.Keywords: Web-based application, ISO 17799, IT Audit Program.
Pengkayaan UML dengan Metoda Formal Pujianto Yugopuspito
Seminar Nasional Aplikasi Teknologi Informasi (SNATI) 2004
Publisher : Jurusan Teknik Informatika, Fakultas Teknologi Industri, Universitas Islam Indonesia

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Abstract

Unified Modeling Language (UML) is a de-facto object-orieted model standard. Manymodels can be visualized and designed by using UML tool, e.g. Rational Rose. We enrich theUML by means of adding a capability to produce a set of formal specifiation of Z notation.This additonal capability is a part of a studi on formal framework of transformationrelational databases to object-relational databases. The enrichment of UML in formalspecification will give an opportunity to explore UML class diagram in the sense of formalmethods. This approach will enable to use the streght of formal methods within UML.Keywords: class diagram, UML, formal methods, formal specification, Z.
PIRANTI LUNAK UNTUK MENDESAIN PROGRAM DALAM BAHASA PEMROGRAMAN C BERDASARKAN HOARE LOGIC Arnold Aribowo; Pujianto Yugopuspito; Julian Fetriandhy Altanijah
Seminar Nasional Informatika (SEMNASIF) Vol 1, No 1 (2010): Computatinal
Publisher : Jurusan Teknik Informatika

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Abstract

The purpose of Hoare Logic is to provide a set of logical rules in order to reason about the correctness of computer programs with the rigor of mathematical logic. Because of that, Hoare Logic becomes the axiomatic basis for computer programming with several rules to prove the correctness of program. Hence, we can apply the proven rules of Hoare Logic as the basis to design a program correctly according to Hoare Logic. In this paper, Hoare Logic is applied in a software which is designed to help the user to design a program in C programming language correctly based on rules in Hoare Logic. When using this software, the user needs to know what program he will create and analyze an algorithm for it. After that, the user can use the software containing the rules of Hoare Logic and write the pseudo-code of C to design his program. At the end of this application, the user will obtain a source code of the program written in C programming language. This software is guaranteed to produce 100% correct output only if the users have the basic understanding of Hoare Logic as well as C program language before using this software.
Kinerja guru sekolah dasar pada masa pandemi covid-19 berdasarkan perspektif motivasi, lingkungan kerja dan komunikasi pemimpin Gloria Luturkey; Pujianto Yugopuspito
Jurnal Akuntabilitas Manajemen Pendidikan Vol 10, No 1 (2022): April
Publisher : Faculty of Education, Universitas Negeri Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21831/jamp.v10i1.48066

Abstract

Pandemi Covid-19 membuat proses belajar mengajar harus dilakukan secara daring, sehingga dapat menimbulkan berbagai kendala yang mempengaruhi kinerja guru. Tiga faktor yang paling berpengaruh pada kinerja guru pada masa pandemi yaitu motivasi kerja, lingkungan kerja dan komunikasi pemimpin. Tujuan penelitian ini untuk memetakan hubungan ketiga faktor tersebut terhadap kinerja guru. Penelitian ini menggunakan metode analisis jalur untuk melukiskan dan menguji model hubungan antar variabel. Instrumen penelitian yang digunakan adalah kuesioner dengan teknik pengambilan sampel yang didistribusikan kepada 174 guru pada 12 Sekolah Dasar di Tangerang. Analisis data dilakukan menggunakan uji validitas momen produk Pearson, uji reliabilitas menggunakan Cronbach’s Alpha, uji normalitas data, uji regresi Teknik ANOVA untuk mengetahui pengaruh antar variabel, dan uji R-square untuk mengetahui pengaruh variabel independen dan dependen. Berdasarkan analisis data, dapat disimpulkan bahwa lingkungan kerja dan komunikasi pemimpin berpengaruh positif terhadap motivasi guru, dan lingkungan kerja, motivasi guru, dan komunikasi pemimpin berpengaruh positif terhadap kinerja guru.
Co-Authors Adlin Astridiani Juistha Alessandro Luiz Kartika Arnold Aribowo Carlos Andres Camelo Pena Dion Krisnadi Erric Raymond Tatimu Erric Raymond Tatimu Esther Juli Anggia Sihombing Fransiscus A. Halim Gabriel Nababan Gloria Luturkey Halley Kuncoro Hendra Tjahyadi Henry Sumargo I Made Bagus Suryawan I Made Murwantara Irene A. Lazarusli Johan Julianto Roestam Julian Fetriandhy Altanijah Kartika, Alessandro Luiz Kevin Kurniawan Lala Palupi Santyaputri, Lala Palupi Mohamad Alfarizi Nadya D. Bachtiar Novia Felicia Gozali Patriot Pangaribuan* Petrus Widjaja Rickhen Hermawan Robert A. Suhim Ronald Ronald Ronald Suryaputra Sadaria Tamba Samuel Lukas Susanti Susanti Sutrisno Sutrisno Sutrisno Sutrisno Yohana F. Cahya Palupi Meilani