jurnal teknik informatika dan sistem informasi
Jurnal Teknik Informatika dan Sistem Informasi (JuTISI) menerima topik-topik sebagai berikut, namun tidak terbatas pada : Artificial Intelligence • Business Intelligence • Cloud & Grid Computing • Computer Networking & Security • Datawarehouse & Datamining • Decision Support System • E-System • Enterprise System (SCM, ERP, CRM) • Human Computer & Interaction • Image Processing • Information Retrieval • Information System • Information System Audit • Enterprise Architecture • Knowledge Management • Mobile Computing & Application • Multimedia System • Open Source System & Technology • Semantic Web & Web 2.0 • Internet of Things
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<![CDATA[Halaman Depan Jutisi Agustus 2015 ]]>
<![CDATA[JuTISI, Redaksi]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 2 (2015): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v1i2.572
<![CDATA[Ini adalah halaman depan JuTISI edisi Agustus 2015]]>
<![CDATA[PENGEMBANGAN MODEL PENILAIAN KESIAPAN IMPLEMENTASI ERP DI PENDIDIKAN TINGGI ]]>
<![CDATA[Permadi, Aditya]]>;
<![CDATA[Handoko, Mary]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 2 (2015): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v1i2.573
<![CDATA[Abstrak—Sukses implementasi ERP di sektor industri dalam satu dekade ini telah mempunyai banyak manfaat yang mendorong sektor pendidikan khususnya pendidikan tinggi untuk mengikuti keberhasilan implementasi ERP.Implementasi ERP sangat kompleks, membutuhkan waktu lama, dan mahal yang biasanya dihadapkan dengan tantangan serius.Kegagalan implementasi ERP adalah kurangnya kesiapan organisasi dalam hal kematangan aspek organisasi, bisnis proses, kultur dan teknologi dan pemilihan vendor yang tepat. Banyak penelitian dilakukan untuk pengembangkan model penilaian kesiapan implementasi ERP di sektor idustri tetapi beberapa penelitian menunjukan bahwa model/praktek terbaik dalam implementasi ERP di sektor industri tidak sesuai untuk pendidikan tinggi.penelitian ini mengusulkan sebuah pengembangan model penilaian kesiapan implementasi ERP untuk menilai kesiapan organisasi khusus di sektor pendidikan tinggi, pemilihan model yang akan dikembangkan dipilih sesuai dengan tatakelola pendidikan tinggi lalu critical success factor sebagai indikator pembentuk dari kausal model. Validsi SEM Confirmatory Factor Analysis terhadap model yang diusulkan. Penelitian ini dapat menunjukan bukti bahwa model penilaian kesiapan implementasi ERP di sektor pendidikan tinggi berbeda dengan model kesiapan ERP di sektor industri.]]>
<![CDATA[Kombinasi Penggunaan Model Warna Dalam Pendeteksian Letak Bibir pada Gambar digital Berwarna ]]>
<![CDATA[Santoso, Sulaeman]]>;
<![CDATA[Handoyo, Erico Darmawan]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 2 (2015): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v1i2.574
<![CDATA[Different color model has been used to detect the location of lips within color images. These color models have different advantages and weakness. This paper intends to compare several uses of color model (namely the rgb, normalized rbg, and the YCbCr color model that is used frequently on several lip localization technique) and try to propose a combination of color model to minimize post processing in lip localization. The proposed combination combines the normalized rgb color model, the YcbCr colod model and the intensity based rgb model to obtain lip area. The combination proved to provide better distinction with only slighty more calculation.]]>
<![CDATA[Analisis Manajemen Risiko Teknologi Informasi Penerapan Pada Document Management System di PT. JABAR TELEMATIKA (JATEL) ]]>
<![CDATA[Mochammad Husein, Gilang]]>;
<![CDATA[Imbar, Radiant Victor]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 2 (2015): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v1i2.575
<![CDATA[ADEL (Aplikasi Dokumen Elektronik) and NADINE (Naskah Dinas Elektronik) are the use of information technology (IT) document management system (DMS) electronic archive product that used by JATEL to enhance information quality and to establish an information dan document workflow so it becomes easier, faster, and well-maintained. Electronic archive IT systems are designed to increase the value and benefits of information and able to control the documents distribution and disposition simultaneously that can increase JATEL business value and support business process automation. Information technology can assist organization but also present risks that need to be managed properly. To anticipate or reduce the likelihood of risk, information technology risk management is required. The implementation of information technology risk management involve risk identification, risk assessment and risk treatment. Keywords — ADEL (Aplikasi Dokumen Elektronik), NADINE (Naskah Dinas Elektronik), risk identification, risk assessment, and risk treatment.]]>
<![CDATA[Penerapan Metode KMeans dan Cobweb Terhadap Analisis Prestasi Akademik Mahasiswa yang Mengikuti Kegiatan Kemahasiswaan ]]>
<![CDATA[Sudharmono, Neil Casaandra]]>;
<![CDATA[Ayub, Mewati]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 2 (2015): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v1i2.577
<![CDATA[The growth of an university can be seen with student’s academic records which can be used for determining students’ quality. Besides student’s academic records, other component that can be used to determine students’ quality is student’s participation in non-academic activities which most of universities have to develop their student’s softskill during their study period. Based on these data provision, we can analyze how non-academic activities affect student’s academic achievement. In this research, the data that used for analysis are students’ academic data and students’ activities data from Maranatha Christian University as case study. This analysis use one of data mining technique, which is clustering . The clustering method that used for this research are Kmeans andCobweb. Clustering method groups students and alumni that participate in student activities or not by looking and the student’s and alumni’s faculty, major, years of study, and if the student or alumni participate in student activites, we can analyze it with how many activities that the student and alumni had.]]>
<![CDATA[Extended Vector Space Model with Semantic Relatedness on Java Archive Search Engine ]]>
<![CDATA[Karnalim, Oscar]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 2 (2015): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v1i2.578
<![CDATA[Byte code as information source is a novel approach which enable Java archive search engine to be built without relying on another resources except the Java archive itself [1]. Unfortunately, its effectiveness is not considerably high since some relevant documents may not be retrieved because of vocabulary mismatch. In this research, a vector space model (VSM) is extended with semantic relatedness to overcome vocabulary mismatch issue in Java archive search engine. Aiming the most effective retrieval model, some sort of equations in retrieval models are also proposed and evaluated such as sum up all related term, substituting non-existing term with most related term, logaritmic normalization, context-specific relatedness, and low-rank query-related retrieved documents. In general, semantic relatedness improves recall as a tradeoff of its precision reduction. We also proposed a scheme to take the advantage of relatedness without affected by its disadvantage (VSM + considering non-retrieved documents as low-rank retrieved documents using semantic relatedness). This scheme assures that relatedness score should be ranked lower than standard exact-match score. This scheme yields 1.754% higher effectiveness than our standard VSM.]]>
<![CDATA[Perbandingan Metode-Metode Klasifikasi untuk Indoor Positioning System ]]>
<![CDATA[Lukito, Yuan]]>;
<![CDATA[Chrismanto, Antonius R.]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 2 (2015): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v1i2.579
<![CDATA[Indoor Positioning System can provide position and navigation guidances inside a building. This paper discusses about systematic comparison between K-Nearest Neigbors and Naïve Bayes Classifier over WiFi-based Indoor Position System dataset. The dataset is collected using a custom Android Application, which able to receive and record WiFi signal strengths from the surrounding WiFi hotspots in UKDW campus. The dataset consists of 11658 Received Signal Strength (RSS) data from 41 public locations in UKDW campus. We use 10-folds cross validation and T-Test with 0.05 significance level to compare classification accuracy between K-Nearest Neigbors and Naïve Bayes classifier. Based on the experiment result, we can conclude that K-Nearest Neighbors classifier produces better classification accuracy (83.58%) than Naïve Bayes (61.52%).]]>
<![CDATA[Analisis dan Perancangan Aplikasi Penyusunan Jadwal Mengajar Sesuai Jadwal Kesediaan Mengajar Dosen Di Fakultas Teknologi Informasi (Studi Kasus : Jurusan Teknik Informatika) ]]>
<![CDATA[J., Meliana Christianti]]>;
<![CDATA[Tan, Robby]]>;
<![CDATA[Karnalim, Oscar]]>;
<![CDATA[Imandha, Egie]]>;
<![CDATA[Cahyadi, Tendy]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 2 (2015): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v1i2.580
<![CDATA[Faculty of Information Technology is one of the faculties at Maranatha Christian University. Currently, scheduling is still done manually. Scheduling process takes quite a long and exhaustive, as the secretary of the department needs to ask the willingness of faculty, and compare each lecturer teaching schedule so it does not clash with other lecturers. As part of Maranatha Christian University, the Faculty of Information Technology would like to shorten its preparation time to arrange faculty teaching schedule and to adjust to the schedule provided by each lecturer. This application will be developed with Java (desktop), PHP (web) programming language, and MySQL database. ]]>
<![CDATA[Perancangan Model Pengukuran Layanan Teknologi Informasi pada Perguruan Tinggi (Studi Kasus: Perguruan Tinggi X) ]]>
<![CDATA[Adelia, Adelia]]>;
<![CDATA[Surendro, Kridanto]]>
<![CDATA[ Jurnal Teknik Informatika dan Sistem Informasi Vol 1 No 2 (2015): JuTISI ]]>
Publisher : <![CDATA[Maranatha University Press ]]>
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DOI: 10.28932/jutisi.v1i2.581
<![CDATA[Information technology services within the organization need to be taken to ensure that the service providers can provide quality service and benefit for service user. The research model to measure information technology services provided to users of the service providers, especially in college. In the design of model, using the concepts included in the service intelligence and ISO 20000, Balanced Scorecard, Balanced Scorecard and IT Balanced Scorecard management of information technology services. Measurement services performed by using models generated from mapping the concepts used in the study. Colleges may use the measurement model is a college that has been using information technology in supporting the activities of the college. Measurements of IT service level emphasizes on IT services owned by the college and different type of IT services to users in the college]]>
