SINTECH (Science and Information Technology) Journal
SINTECH (Science and Information Technology) Journal merupakan jurnal yang dikelola dan diterbitkan oleh Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK STIKOM Indonesia, dengan e-ISSN 2598-9642 dan p-ISSN: 2598-7305. SINTECH Journal diterbitkan pertama kali pada bulan April 2018 dan memiliki periode penerbitan sebanyak dua kali dalam setahun, yaitu pada bulan April dan Oktober.
Bidang keilmuan dari SINTECH Journal mencakup bidang ilmu : Data analysis, Natural Language Processing, Artificial Intelligence, Neural Networks, Pattern Recognition, Image Processing, Genetic Algorithm, Bioinformatics/Biomedical Applications, Biometrical Application, Content-Based Multimedia Retrievals, Augmented Reality, Virtual Reality, Information System, Game Mobile, dan IT Bussiness Incubation.
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148 Documents
<![CDATA[IMPLEMENTASI TEOREMA NAÏVE BAYES PADA SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN REKOMENDASI TEMPAT WISATA TERBAIK DISULAWESI SELATAN ]]>
<![CDATA[Chandra, Rikardo]]>;
<![CDATA[musdar, izmy alwiah]]>;
<![CDATA[., Junaedy]]>
<![CDATA[ SINTECH (Science and Information Technology) Journal Vol 2 No 1 (2019): SINTECH Journal Edisi April 2019 ]]>
Publisher : <![CDATA[LPPM STMIK STIKOM Indonesia ]]>
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DOI: 10.31598/sintechjournal.v2i1.316
<![CDATA[This study aims to design and build web-based decision support system applications used to recommend the best tourist attractions in South Sulawesi to tourists. The expected benefit of this research is to help the user get the best tourist recommendation information available in South Sulawesi based on the conditions in input factors. The theorem or method used in this study, namely the theorem Naïve Bayes. The design of the system isimplemented using PHP programming language and MYSQL database. Based on the results of the research, the authors have successfully built the application of decision support system to determine the recommendation of tourist attractions in South Sulawesi with 65% accuracy based on 20 tests conducted. ]]>
<![CDATA[SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KARYAWAN DENGAN METODE AHP TOPSIS (Studi Kasus: PT. Global Retailindo Pratama) ]]>
<![CDATA[Santika, Putu Praba]]>;
<![CDATA[Handika, I Putu Susila]]>
<![CDATA[ SINTECH (Science and Information Technology) Journal Vol 2 No 1 (2019): SINTECH Journal Edisi April 2019 ]]>
Publisher : <![CDATA[LPPM STMIK STIKOM Indonesia ]]>
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DOI: 10.31598/sintechjournal.v2i1.321
<![CDATA[To get good employees, a good selection process is needed. From the results of the interview, PT. Global Retailindo Pratama uses four criteria for the selection of new employees, education, intelligence, experience, and interviews. All prospective employees must take an exam to measure the criteria of education and intelligence and also have to send a photocopy of proof of their experience. The first stage selection is done to determine the prospective applicants who will take part in the interview. The second stage is conducted to determine the prospective employees who are accepted. The process of assessment and selection is still done by humans, so it takes a lot of time and energy. This problem can be solved by providing an information system for submitting applications and conducting examinations online. All documents are sent in digital form, also automaticlly checking answers from prospective employees. To select prospective employees, a method is needed that can recommend potential prospective employees based on specified criteria. The TOPSIS method is a decision support method that can provide recommendations in accordance with the criteria. The disadvantage of the TOPSIS method is that it requires weighting in the ranking process. The Analytical Hierarchy Process (AHP) method can be used to determine the criteria weight. Combining AHP and TOPSIS methods can produce more objective ranking results. Combining the AHP and TOPSIS methods can produce better recommendations.]]>
<![CDATA[KORELASI INDIKATOR PENILAIAN PEMERINGKATAN WEBSITE PERGURUAN TINGGI WEBOMETRICS DAN 4ICU ]]>
<![CDATA[Kurniawijaya, Putu Andhika]]>;
<![CDATA[Wiharta, Dewa Made]]>;
<![CDATA[Sastra, Nyoman Putra]]>
<![CDATA[ SINTECH (Science and Information Technology) Journal Vol 2 No 1 (2019): SINTECH Journal Edisi April 2019 ]]>
Publisher : <![CDATA[LPPM STMIK STIKOM Indonesia ]]>
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DOI: 10.31598/sintechjournal.v2i1.325
<![CDATA[Colleges in Indonesia as part of an educational institution that seeks to improve the competitiveness of globally through the utilization of ICT (information and communication technology) has been aware of the importance of the website as a key component of the assessment in an effort to align ourselves as a global standard of the College. The instruments most frequently used by universities as reference materials to evaluate performance and productivity based on his/her website is through a college assessor database world, including Webometrics and 4ICU. Correlation between linking Webometrics and 4ICU are aimed to assist colleges in analyzing the quality of traffic services in the field of scientific publications in order to be able to compete in the global sphere and certainly for the better. The methodology used by using spearman rank correlation against major # 29 University according to the webometrics ranking based on 4ICU and 29 top-rated website 4ICU. The results of the research there is a relationship or a significant correlation between the webometrics ranking indicator with indicator correlation value 4ICU ranking of 0.591 contains the category strong enough. ]]>
<![CDATA[PREDIKSI PRODUKTIVITAS JAGUNG DI INDONESIA SEBAGAI UPAYA ANTISIPASI IMPOR MENGGUNAKAN JARINGAN SARAF TIRUAN BACKPROPAGATION ]]>
<![CDATA[Wanto, Anjar]]>
<![CDATA[ SINTECH (Science and Information Technology) Journal Vol 2 No 1 (2019): SINTECH Journal Edisi April 2019 ]]>
Publisher : <![CDATA[LPPM STMIK STIKOM Indonesia ]]>
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DOI: 10.31598/sintechjournal.v2i1.355
<![CDATA[Corn is a staple food that is still widely consumed by the population of Indonesia. Based on data from the Indonesian Statistics Agency, corn productivity in Indonesia from 2005 to 2015 calculated an unstable curve. Therefore this research was conducted to predict and see the large growth of maize in Indonesia for the following years so that the government has a reference to continuously strive to increase corn productivity in Indonesia in order to remain stable in order to meet the needs of Indonesian people to minimize corn imports. This study uses data on corn productivity in Indonesia in 2005-2015 sourced from the Indonesian Central Bureau of Statistics. The prediction algorithm used is the Backpropagation Neural Network. This algorithm is able to predict data well, especially data that is maintained for a certain period of time. To facilitate data analysis, the author uses the Matlab 2011b application. In this study, a training and testing process will be carried out using 5 network architecture models, namely 5-25-1, 5-43-1, 5-76-1, 5-78-1 and 7-128-1. Of the 5 architectural models, the best is 5-25-1 with the percentage of 88% and the MSE value of 0.00992433.]]>
<![CDATA[PERANCANGAN PENGUJIAN PREFERENCE TEST, UJI HEDONIK DAN MUTU HEDONIK MENGGUNAKAN ALGORITMA RADIAL BASIS FUNCTION NETWORK ]]>
<![CDATA[Permadi, M. Rizal]]>;
<![CDATA[Huda Oktafa]]>;
<![CDATA[Khafidurrohman Agustianto]]>
<![CDATA[ SINTECH (Science and Information Technology) Journal Vol 2 No 2 (2019): SINTECH Journal Edition October 2019 ]]>
Publisher : <![CDATA[LPPM STMIK STIKOM Indonesia ]]>
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DOI: 10.31598/sintechjournal.v2i2.282
<![CDATA[Wheat Bread producers are required to produce quality products and are liked by consumers. Increasing the quality of bread will certainly have an impact on sales to be generated. One of the efforts in improving the quality is by doing Hedonic test and Hedonic Quality test. This study aims to develop a system capable of providing an assessment of new products to be released on the market. Hedonic quality is used as a variable for assessing bread products with 4 variables, which include flavor, taste, appearance, and texture. While the hedonic test using six classes is very very like, very like, like, rather like, and do not like, then this result will be used as a class of Knowledge Based (KB). This research uses Radial Basis Function Network (RBFN) algorithm, yielding 98,8% accuracy with 10 fold testing technique. The final goal of the development of this system will create a system capable of providing an assessment of a wheat bread product.]]>
<![CDATA[KLASIFIKASI MULTILABEL PADA ABSTRAK TUGAS AKHIR MENGGUNAKAN VECTOR SPACE MODEL DAN K-NEAREST NEIGHBORS ]]>
<![CDATA[Indrawan, I Putu Yoga]]>;
<![CDATA[I Gede Indrawan]]>;
<![CDATA[I Made Candiasa]]>
<![CDATA[ SINTECH (Science and Information Technology) Journal Vol 2 No 2 (2019): SINTECH Journal Edition October 2019 ]]>
Publisher : <![CDATA[LPPM STMIK STIKOM Indonesia ]]>
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DOI: 10.31598/sintechjournal.v2i2.292
<![CDATA[The final project is one of the requirements of graduation students. Students who want to do the final project need to see the final project result on the same topic that has been done before. With a large number of end-task documents, it certainly takes a great effort to find the final project document on the same topic. The final grouping can be automated using the document classification method. The methods that can be used to classify documents are K-Nearest Neighbors as classifier and Vector Space Model to measure the distance between documents From the initial observation, the multilabel classification in the final abstract using Vector Sapce Model and K-Nearest Neighbors has not been evaluated. Because some previous studies have led to the testing of single labels and only lead to one method, as the method is tested. Classification of abstract document final task consists of 2 stages of making distance table using vector space model and multilabel classification using KNN. This method has not been able to predict the label accurately because the exact exact ratio of its optimum value is only 0.57 when m = 4 and k = 8. This method is good enough in predicting the label even though not precisely. Can be seen from the accuracy value of its optimum which is 0.74 when m = 4 and k = 9. The exact match ratio and accuracy value of this method has the optimum value at m = k / 3.]]>
<![CDATA[RANCANG BANGUN SISTEM INFORMASI MUSYAWARAH PERENCANAAN PEMBANGUNAN PADA BADAN PERENCANAAN, PEMBANGUNAN, PENELITIAN DAN PENGEMBANGAN DAERAH KABUPATEN FAKFAK ]]>
<![CDATA[Riyadh Arridha]]>;
<![CDATA[Tomsio, Rusydi]]>;
<![CDATA[Titing Magfirah]]>
<![CDATA[ SINTECH (Science and Information Technology) Journal Vol 2 No 2 (2019): SINTECH Journal Edition October 2019 ]]>
Publisher : <![CDATA[LPPM STMIK STIKOM Indonesia ]]>
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DOI: 10.31598/sintechjournal.v2i2.299
<![CDATA[Development planning deliberations is an annual activity held by Badan Perencanaan, Pembangunan, Penelitian dan Pengembangan Daerah (BP4D). It is used to help government in regional development matters. It also helps to solve any problems occurred in regional development in order to bring welfare to the society. The implementation of information systems is required to optimize data tabulation and utilization. For instance, processing data from the results of planning deliberation which are taken from many parties, such as Bappeda and regional organizations. Further, the implementation of information systems in data processing is more efficient and modern. The result of the research is producing an information system to help regional development agency (BP4D) and regional organizations in processing and reporting the result of development planning deliberations. Furthermore, waterfall method with structured design is used in program system processing. Meanwhile, the testing method uses black box model. Then, the result of the test shows that the system has good performance.]]>
<![CDATA[APLIKASI ASISTEN UNTUK LANSIA DENGAN MEMANFAATKAN SMARTPHONE BERBASIS ANDROID ]]>
<![CDATA[Purna Sastriya, Gede Edy]]>;
<![CDATA[Khrisne, Duman Care]]>;
<![CDATA[Made Surdarma]]>
<![CDATA[ SINTECH (Science and Information Technology) Journal Vol 2 No 2 (2019): SINTECH Journal Edition October 2019 ]]>
Publisher : <![CDATA[LPPM STMIK STIKOM Indonesia ]]>
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DOI: 10.31598/sintechjournal.v2i2.315
<![CDATA[This study aims to design and build an android based elderly assistant application using Android Studio Software to help the elderly in performing its activities. There are two features in this elderly assistant application that are Exercise feature and Map Feature. Exercise feature aims to assist elderly in exercising by utilizing accelerometer and gyroscope sensors to read and calculate exercise movement performed by elderly and the Map feature aims to track the location where the elderly are snd also receive the notification when the elderly out of radius. From the results of trials of elderly assistant applications, accelerometer and gyroscope sensors on exercise features have been able to calculate and read the exercise movement that performed by the elderly and the map feature have been able to track the elderly location using GPS on Smartphone.]]>
<![CDATA[SPK PENENTUAN PEMBERIAN PINJAMAN KEPADA ANGGOTA BUMDES DENGAN METODE SIMPLE ADDITIVE WEIGHTING ]]>
<![CDATA[Nurul Putri Utami]]>;
<![CDATA[Hasanul Fahmi]]>;
<![CDATA[Anita Sindar]]>
<![CDATA[ SINTECH (Science and Information Technology) Journal Vol 2 No 2 (2019): SINTECH Journal Edition October 2019 ]]>
Publisher : <![CDATA[LPPM STMIK STIKOM Indonesia ]]>
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DOI: 10.31598/sintechjournal.v2i2.317
<![CDATA[Information technology as a tool in the quality of manpower one of the world of government in the village, especially in the field of village-owned enterprises which are still doing work with the manual system. In addition, where it really needs a decision support system to help human resources in utilizing technology to run a process quickly and efficiently. The approach to find the value of attribute weights, namely approaching the existence of subjective, objective approaches and approaches of integration between subjective and objective. Decision Support System Implementation with Simple Additive Weighting Method can be used to determine the granting of loans to members of BUMDes Maju Bersama by entering in the form of alternative data and then entering the weight value seen in the existing criteria, so that it can produce the calculation value and the ranking of the prospective loan recipient. This draft will show the final results of each member who will borrow funds, and the highest rating can be said of the members who will receive loan assistance, the lowest rating will be given the opportunity to make decisions later to receive loan assistance.]]>
<![CDATA[EVALUASI PENERAPAN UNDIKNAS MOBILE: ANALISIS TECHNOLOGY ACCEPTANCE MODEL ]]>
<![CDATA[Krisnawijaya, Ngakan Kutha]]>;
<![CDATA[Pradnya Dewi, I Gusti Ayu Agung]]>
<![CDATA[ SINTECH (Science and Information Technology) Journal Vol 2 No 2 (2019): SINTECH Journal Edition October 2019 ]]>
Publisher : <![CDATA[LPPM STMIK STIKOM Indonesia ]]>
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DOI: 10.31598/sintechjournal.v2i2.319
<![CDATA[Undiknas Mobile is an application to facilitate students in carrying out their education. Based on the Technology Acceptance Model (TAM) with the addition of output quality and social influences this study aims to analyze the application of Undiknas Mobile through user intentions to continue using this system until they graduate from Undiknas University. This study is conducted by carrying a survey of 263 students at Undiknas university and use statistic descriptive as a technique of data analysis. The result of this study is the students have an intention to continue using Undiknas Mobile until they complete their study since they perceived the use and the ease of use of Undiknas Mobile. The output quality that is produced by Undiknas Mobile also accurate. In terms of social influences, it can be seen that only injunctive norm that can influence the users? intention to use Undiknas Mobile.]]>
