Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) dimaksudkan sebagai media kajian ilmiah hasil penelitian, pemikiran dan kajian analisis-kritis mengenai penelitian Rekayasa Sistem, Teknik Informatika/Teknologi Informasi, Manajemen Informatika dan Sistem Informasi. Sebagai bagian dari semangat menyebarluaskan ilmu pengetahuan hasil dari penelitian dan pemikiran untuk pengabdian pada Masyarakat luas dan sebagai sumber referensi akademisi di bidang Teknologi dan Informasi. Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) menerima artikel ilmiah dengan lingkup penelitian pada: Rekayasa Perangkat Lunak Rekayasa Perangkat Keras Keamanan Informasi Rekayasa Sistem Sistem Pakar Sistem Penunjang Keputusan Data Mining Sistem Kecerdasan Buatan/Artificial Intelligent System Jaringan Komputer Teknik Komputer Pengolahan Citra Algoritma Genetik Sistem Informasi Business Intelligence and Knowledge Management Database System Big Data Internet of Things Enterprise Computing Machine Learning Topik kajian lainnya yang relevan
Articles
1,046 Documents
<![CDATA[Pengembangan Aplikasi Knowledge Management System Helicopter Landing Officer Pada PT Pacific Aviation Indonesia ]]>
<![CDATA[Alfredo Pasaribu]]>;
<![CDATA[Achmad Solichin]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 1 No 3 (2017): Desember 2017 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v1i3.108
<![CDATA[Berdasarkan informasi dari Komite Nasional Keselamatan Transportasi (KNKT), tingkat kecelakaan penerbangan Indonesia dari tahun 2010 sampai 2016 yaitu sebanyak 212 kejadian. Sebanyak 67,12% dari faktor penyebab kecelakaan penerbangan adalah faktor manusia. Hal tersebut membuktikan bahwa banyak yang tidak memahami apa yang harus dipersiapkan atau dilakukan ketika menghadapi permasalahan di lapangan, terutama permasalahan yang belum tercantum dalam Standar Operasional Prosedur. Kejadian ini menjadi perhatian khusus untuk aktivitas Helicopter Landing Officer (HLO) dalam penerbangan. Personil HLO kurang berkolaborasi dalam proses pendokumentasian dan penyebaran pengetahuan karena belum adanya manajemen pengetahuan yang tersistematis. Oleh karena itu, pada penelitian ini dikembangkan sebuah Knowledge Management System melalui pendekatan Lesson Learned System berbasis mobile. Hasil pengujian menggunakan User Acceptance Test (UAT) menunjukkan bahwa 92% pengguna menerima Knowledge Management System yang dihasilkan pada penelitian ini.]]>
<![CDATA[Penilaian Kinerja Dosen Menggunakan Metode TOPSIS (Studi Kasus : Amik Mitra Gama) ]]>
<![CDATA[Candra Surya]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i1.119
<![CDATA[To improve the quality or performance of lecturers need an assessment. Assessment of lecturers can be done by Leaders and Chairman of Study Program such as assessment of Teaching, Research, Dedication, Responsibility, Personality, Loyalty, Cooperation, Leadership. Problems that have occurred so far to assess the performance of lecturers are still not optimal because there is no system / method used for assessment. It is therefore necessary to making a decision support system using the Technique For Other Reference by Similarity to Ideal Solution (TOPSIS). This method is able to choose the best alternative from the existing alternative. The alternative is the lecturer who will be assessed it’s performance. The result obtained by using this method is to know the lecturer who has the best performance. The best lecturers' determination will be issued in the form of numerical values and sorted by the largest value to the smallest value. From 5 alternative lecturers that have been tested are Lecturer 1, Lecturer 2, Lecturer 3 Lecturer 4 and Lecturer 5, then selected Lecturer 2 which has the best performance with a preference value of 0.5341.]]>
<![CDATA[Faktor-Faktor Pengembangan Sistem Informasi Akademik Berbasis Web Pada Perguruan Tinggi Swasta Palembang ]]>
<![CDATA[Muhammad Soekarno Putra]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i1.243
<![CDATA[One of the utilization of information technology development in the world of education in private universities (PTS) is by utilizing and implementing web-based academic information system (SIA). This study aims to examine the contribution of technology and infrastructure (IT), design (DS), human resources (SD) and culture (BD) in web-based SIA development at PTS in Palembang. The research method used was quantitative method, while the technique of data collection using questionnaire method. Data analysis method in this study used Structural Equation Modeling (SEM). Population in this research were PTS in Palembang which have web based SIA, they were Universitas Bina Darma and STMIK Palcomtech. While the respondents were students, lecturers and staff. The results of the research showed that technology and infrastructure, design, human resources and culture contribute to the development of web-based SIA at PTS in Palembang.]]>
<![CDATA[Sistem Informasi Geografis Daerah Yang Layak Menerima Daging Qurban Di Wilayah Kota Padang ]]>
<![CDATA[Sotar Sotar]]>;
<![CDATA[Dani Mardianto]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i1.244
<![CDATA[Qurban is one of the worship that is held every year in the month dzulhijjah, the goal is closer to the creator. One of the functions of Qurban worship is as a form of concern to the dhuafa 'or the needy means that people who can slauchetering qurban animals can share the people who can not afford. In the city of Padang there are still many suburbs worthy of receiving Qurban meat, while in urban areas there are many sacrifices of Qurban animals and many excess meat quotas, but they only distribute them in urban areas with relatively good economy and certain orphanages, this results in the meat of Qurban accumulate in certain locations only. One of the causes of the Committee is difficult to get clear information about the location or area that really deserves the meat Qurban. The geographic information system built can provide solutions and information to the Qurban Committee or Mosque Board and other institution of Qurban meat distributor to the lack of information about the area, place, trip route, distance, number of people, the number of Qurban animals in each mosque in Padang city as well as areas categorized as worthy to receive the meat of Qurban. Thus the distribution of Qurban meat distributed evenly, the right target and the function of the Qurban worship achieved.]]>
<![CDATA[Indikasi Penyimpangan Laporan Keuangan Akademik Universitas XYZ Menggunakan Algoritma Greedy dan K-Means ]]>
<![CDATA[Lukman Hakim]]>;
<![CDATA[Harvin Seruni]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i1.261
<![CDATA[Financial deviation are often found in various agencies as occurred in 16 PTN (Merdeka.com) in the financial reporting of a lot of unfairness in the BPK (Supreme Audit Agency) report, this happens because the mechanism of reporting in the internal University has no financial audit. It is necessary to create an application that can detect the occurrence of deviation in proposals and financial reports that impact on unnatural reports, this study using the Greedy and K-Mean Clustering algorithms. The application of academic financial detection at University XYZ has the function of making proposal, financial report, monitoring from the person in charge to facilitate supervision and the existence of notification if there is budget unreasonable. The application of Greedy and K-Mean algorithms to the application can be applied by simulating proposals and reports that have reasonable and unreasonable prices, showing success with the notification of each proposal and unnatural reports on finance.]]>
<![CDATA[Optimasi Parameter Pemulusan Algoritma Brown Menggunakan Metode Golden Section Untuk Prediksi Data Tren Positif dan Negatif ]]>
<![CDATA[Fiqih Akbari]]>;
<![CDATA[Arief Setyanto]]>;
<![CDATA[Ferry Wahyu Wibowo]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i1.263
<![CDATA[Algorithm DES (Double Exponential Smoothing) Brown is a forecasting algorithm used to predict time series data both patterned positive trends and negative trends. However, this algorithm has a weakness in determining the optimum parameter value to minimize forecasting error (MAPE), the parameter value is searched using Golden Section method previously searched manually using repeated experiment. This research uses 60 trend patterned data analyzed for grouping positive and negative trend pattern data which further done forecasting process, evaluation and testing to know what type of data pattern is best. Based on the result, it revealed that optimization parameter yields optimum MAPE value, where parameter value is done forecasting process in positive and negative trend pattern data group yielding average MAPE value equal to 9,73401% (highly accurate) for patterned data positive trend and 15,78467% (good forecast) for negative patterned pattern data. DES Brown forecasting algorithm with parameter optimization method resulted in the approximate value of the original data if the data shows the addition or decrease in value around the average value. Conversely, it will result in a high MAPE value (inaccurate) if the data has a spike in data value periods. From the two groups of MAPE scores, a statistical t test showed that positive trend patterned data (μ1) yielded better MAPE average value than negative trend patterned data (μ2).]]>
<![CDATA[Autonomous Sales Robot untuk Pengenal Produk Berbasis Barcode dan Arduino ATMega328 ]]>
<![CDATA[Ikhsan Ikhsan]]>;
<![CDATA[Ade Afdhika Putra]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i1.264
<![CDATA[This paper discusses similar machines of people who are categorized as robots that function as product identifier sales. This research is used as a substitute for shop assistants who sometimes have an emotional attitude when the consumer asks many things. By utilizing this robot, is expected to provide more services to consumers, consumers only need to show the goods that will be desired to the robot by closing the barcode, and the robot will provide information to the product in detail. In the process of this research is made by waterfall method with the necessary changes. From the results of the study concluded that the robot system can provide information services to consumers]]>
<![CDATA[Sistem Pakar Untuk Mendiagnosis Penyakit Stroke Hemoragik dan Iskemik Menggunakan Metode Dempster Shafer ]]>
<![CDATA[Jansen Kanggeraldo]]>;
<![CDATA[Rika Perdana Sari]]>;
<![CDATA[Muhammad Ihsan Zul]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 2 (2018): Agustus 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i2.268
<![CDATA[Stroke is a disease that associated with bloodstreams to the brain. Usually, stroke is caused by the presence of broken blood vessels or obstructed by a blood clot. According to basic health research data by Health Research and Development Agency of Indonesia Ministry of Health (2013), stroke has become one of the deadliest diseases in Indonesia. One effort made to prevent stroke is to create a system that can diagnose stroke. Based on Indraswari's (2015) research, it was found out that stroke can be diagnosed by risk factor criterion. However, to get the data, the patient must check to the hospital or laboratory first To overcome these problems, the authors create an expert system that can diagnose stroke without having to consult directly with the doctor. This expert system adopts the expertise of a neurologist. The result of this system diagnosis’ is the type of desease and the percentage of the probability value of stroke. After the black box testing, it was found that all system functionality has been met. Then, based on the white box testing results, the value of cyclomatic complexity after the optimization of the program code is 8, it shows the program code of Dempster Shafer method is simple program code without much risk. The level of expert system accuracy is 97% so that the system can be used as an alternative for patients to make a diagnosis of stroke]]>
<![CDATA[Perancangan Sistem Terintegrasi pada Aplikasi Siklus Akuntansi dengan Evaluasi Technology Acceptance Model (TAM) ]]>
<![CDATA[Dwi Ely Kurniawan]]>;
<![CDATA[Azis Saputra]]>;
<![CDATA[Purwono Prasetyawan]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i1.271
<![CDATA[The accounting cycle is used to see the picture of a company's circumstances in decision-making, whether the company gains or loses. The development of information technology at this time developed so rapidly, so the company is required to continue to innovate to improve company performance. Factors that cause information delays, lack of organized information processing and unintegrated data cause the company difficulties in controlling financial flows. This research designs an application of financial accounting cycle using Enterprise Resource Planning (ERP) and Technology Acceptance Model (TAM) approach. ERP is known as an integrated system between business processes with each other while the TAM model to see the factors of user acceptance of business process changes using the application. Based on the results of the design of applications that have been developed with several main criteria obtained the benefit criteria with 75% percentage, convenience criteria with percentage 76.67%, usability criteria with 77.5% percentage, graphic design criteria with percentage 80%, compatibility criterion with percentage 60 % and functionality criteria with a percentage of 72.5%, so it can be concluded that the application is useful, easy to use, but it is easier in controlling and making decisions based on these parameters]]>
<![CDATA[Identifikaasi Tingkat Kerusakan Peralatan Laboratorium Komputer Menggunakan Metode Rough Set ]]>
<![CDATA[Hengki Juliansa]]>;
<![CDATA[Sarjon Defit]]>;
<![CDATA[Sumijan Sumijan]]>
<![CDATA[ Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018 ]]>
Publisher : <![CDATA[Ikatan Ahli Informatika Indonesia (IAII) ]]>
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DOI: 10.29207/resti.v2i1.274
<![CDATA[Computer laboratory is a means to support college pratikum. This equipment should always be in a ready-made state or suiTabel for use, whether computer or other means. In case of damage, it should be promptly resolved. To further accelerate the handling of damage, it is necessary a method to identify it. The Rought set method is a solution for this identification by means of several stages: Infomation System; Decision System; Equivalence Class; Descernibilty matrix and Descernibilty matrix of module D; Reduction; Generate Rules. The results of this study from 5 equipment in the computer laboratory STMIK Bina Nusantara Jaya Lubuklinggau after performing the steps of settlement by rough set method found 8 rules to get a new decision is whether the equipment is still worthy of use, repaired or replaced, then this method is very suiTabel applied in identifying the extent of damage.]]>
