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Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

RESTI
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Published by Ikatan Ahli Informatika Indonesia

ISSN : 25800760 EISSN : 25800760 DOI : https://doi.org/10.29207/resti.v2i3.606

Core Subject : Science, Engineering,

Computer Science & IT Engineering

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

Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)

Articles 23 Documents

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Search results for , issue "Vol 2 No 1 (2018): April 2018" : 23 Documents clear

Implementasi Sistem Informasi Penggajian Untuk Membantu Manajemen Keuangan Dalam Pengolahan Usaha Mira Susanti; Rasman Hidayatullah
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

The era of globalization also affects the business environment in data processing in the form of transactions such as payroll. If the process of payroll calculation is slow and prone to error can lead to discontinuity between employees and management and the use of conventional systems also lead to data security is not guaranteed then the required system that supports management needs in the form of payroll information system to minimize errors that can be used in decision making and influence to smooth business. The method used is the System Development Life Cycle (SDLC) which is a guide in designing and developing information systems. Implemented payroll information systems are able to generate accurate payroll reports in the form of loan evidence, employee salary recaps making it easier to control profits-related businesses to create sound financial management.

Analisis Manajemen Risiko Keamanan Data Sistem Informasi (Studi Kasus: RSUD XYZ) Nurhafifah Matondang; Ika Nurlaili Isnainiyah; Anita Muliawatic
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

This paper describes the implementation of OCTAVE Allegro method to evaluate several aspects related to information security risks of the information technology applied in a health institution. The evaluation was conducted at RSUD XYZ and referred to five impact areas: reputation and customer confidence, finance, productivity, security and health, and also penalties and punishment. The results show that the impact area of reputation and customer confidence has the highest risk assessment result among other areas. The overall result and discussion presented in this paper certainly does not violate the code of ethics for RSUD XYZ.

Clustering Data Remunerasi Dosen Untuk Penilaian Kinerja Menggunakan Fuzzy c-Means Putri Elfa Mas`udia; Farida Arinie; Lis Diana Mustafa
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

Remuneration of lecturers is closely related to the performance of lecturers as stated in Tri Dharma Perguruan Tinggi. The Three critera of Tri Dharma are teaching, research and devotion. The remuneration data will be clustered into some clusters to analyze the lecturers group. Each remuneration data consists of seven attributes such as teaching, research, textbook, training, community service, presence and certificate. For case study, the remuneration data of lecturers of telecommunication engineering will be used.Fuzzy c-means is the clustering method that will be implemented on this system.Different with K-Means, in Fuzzy c-means data will be mapped on each cluster with varying degrees of membership from 0-1. Based on the test results, there are 3 clusters formed with the number of lecturers who enter cluster 0 are 4 lecturers, 10 lecturers in cluster 1 , and 14 lecturers in cluster 2. Based on the analysis of the test result data, cluster 0 has a better value than other clusters because it has the highest cluster center point so that the lecturer's performance value included in cluster 0 is also high close to the cluster center point value.

Aplikasi Sistem Pencarian Halte BRT Terdekat Kota Semarang Menggunakan Metode A* Berbasis Android Abimanyu Cahya Pramudhita; Muljono Muljono
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

BRT (Bus Rapid Transit) is one of public transportation that can be used in Semarang City. This bus is operated to break down the congestion in Semarang city which is increasing. This paper aims to make the application of the bus stop search system closest and is expected to facilitate the people of Semarang city in the use of BRT (Bus Rapid Transit). A* Algorithm, This algorithm is a Best First Search algorithm that combines Uniform Cost Search and Greedy Best-First Search. Where the Price considered f(n) is derived from the actual price g(n) plus the approximate price h(n). The created application provides the nearest stop information by using the A* method. From the calculations performed using the A* method and conducted 20 experiments at different locations, the A* method has 100% accuracy in determining the nearest up and down stops, if in an accurate Global Positioning System.

Penilaian Kinerja Dosen Menggunakan Metode TOPSIS (Studi Kasus : Amik Mitra Gama) Candra Surya
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

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 itâ€™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.

Faktor-Faktor Pengembangan Sistem Informasi Akademik Berbasis Web Pada Perguruan Tinggi Swasta Palembang Muhammad Soekarno Putra
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

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.

Sistem Informasi Geografis Daerah Yang Layak Menerima Daging Qurban Di Wilayah Kota Padang Sotar Sotar; Dani Mardianto
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

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.

Indikasi Penyimpangan Laporan Keuangan Akademik Universitas XYZ Menggunakan Algoritma Greedy dan K-Means Lukman Hakim; Harvin Seruni
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

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.

Optimasi Parameter Pemulusan Algoritma Brown Menggunakan Metode Golden Section Untuk Prediksi Data Tren Positif dan Negatif Fiqih Akbari; Arief Setyanto; Ferry Wahyu Wibowo
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

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).

Autonomous Sales Robot untuk Pengenal Produk Berbasis Barcode dan Arduino ATMega328 Ikhsan Ikhsan; Ade Afdhika Putra
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Vol 2 No 1 (2018): April 2018
Publisher : Ikatan Ahli Informatika Indonesia (IAII)

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

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Yuhefizar

Contact Email
jurnal.resti@gmail.com

Phone
+628126777956

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ephi.lintau@gmail.com

Editorial Address
Politeknik Negeri Padang, Kampus Limau Manis, Padang, Indonesia.

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Abstract

Home Page

OAI Link

Editorial Team

Contact

Reviewer

Google Scholar

Contact Name Yuhefizar

Contact Email jurnal.resti@gmail.com

Phone +628126777956

Journal Mail Official ephi.lintau@gmail.com

Editorial Address Politeknik Negeri Padang, Kampus Limau Manis, Padang, Indonesia.

Location , INDONESIA

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Abstract

Contact Name
Yuhefizar

Contact Email
jurnal.resti@gmail.com

Phone
+628126777956

Journal Mail Official
ephi.lintau@gmail.com

Editorial Address
Politeknik Negeri Padang, Kampus Limau Manis, Padang, Indonesia.

Location
,

INDONESIA