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Teguh Susyanto
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Jurnal Ilmiah Sinus
Published by STMIK Sinar Nusantara Surakarta
ISSN : 16931173     EISSN : 25484028     DOI : http://dx.doi.org/10.30646/sinus
Core Subject : Science,
Computer Science & IT
Jurnal Ilmiah SINUS is a magazine published twice a year, wherein one issue there are seven articles. Jurnal Ilmiah SINUS as a communication medium to report the results of field research, library research, observations or opinions on problems arising related to the development of information technology.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 7 Documents
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Search results for , issue "Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022" : 7 Documents clear
Penerapan Metode Perbandingan Eksponensial untuk Pemilihan Pengajuan Pembiayaan Pada KSPPS BMT NU Sejahtera Gemolong Widyasari Widyasari; Sri Hariyati Fitriasih; Tri Irawati
Jurnal Ilmiah SINUS Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i1.577

Abstract

One of the institutions that provides financial services is a cooperative. Savings and loans cooperatives under Islam law (Shariah) provide financing to its members who apply for loan. However, the selection of these members is still using the manual method. This allows members who apply for financing to experience bad credit and its selection takes a long time. The purpose of this study is to create a decision support system for selecting a financing application so that bad credit does not occur. Algorithm method in this study was Exponential Comparison Method. Its system implementation used Visual Studio programming language with SQL Server database. As a result, there is an application for a decision support system of financing that can be used for making decisions about the eligibility of members in financing. This application had been tested by using Blackbox. The result of this system had features to cultivate data, count the eligible members, show the results of decision based on the total value. Its reports consisted of members’ identity, members’ criteria, and financing feasibility reports. The value total of exponential comparison from customer candidates with range and value of 75 obtained the financing. Meanwhile, range and value of 50-75 was reconsideration and 50 was not eligible to receive the financing. The alternative data of 10 financed prospective members reached 50% in this result of study. Testing was done by comparing the results of manual calculations and the results of system calculations.
Sistem Pendukung Keputusan Pemilihan Admin Terbaik Menggunakan Metode Simple Additive Weighting Di Kantor CV Sragen Pribadi Abthal; Muhammad Hasbi; Kumaratih Sandradewi
Jurnal Ilmiah SINUS Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i1.585

Abstract

This company always works hard to be at the forefront with modern service standards supported by professional Human Resources. Human Resource Management greatly affects employee dedication and performance. In this regard, the Company has not been able to optimize, especially in determining the best administrator (Admin). This is due to the absence of media that can process the best admin's judgment in the office. For this reason, it is necessary to apply the best admin support system using the Simple Additive Weighting (SAW) method. The definition of the Simple Additive Weighting (SAW) method is often also known as the weighted addition method. The basic concept of SAW method is to find the weighted sum of the performance ratings for each alternative on all attributes. The purpose of this research is to find out the best admin every month, seen from the accuracy of work attendance, cooperation, discipline, and order. After the data was collected, HRDs can immediately use the calculation application using SAW method to determine the best admin. The test results obtained data that the best admin in CV office is A1 which has a value of 0.94.
Metode Pembobotan Jarak dengan Koefisien Variasi untuk Mengatasi Kelemahan Euclidean Distance pada Algoritma k-Nearest Neighbor Agustiyar Agustiyar; Romi Satria Wahono; Catur Supriyanto
Jurnal Ilmiah SINUS Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i1.565

Abstract

k-Nearest Neighbor (k-NN) is one of the classification algorithms which becomes top 10 in data mining. k-NN is simple and easy to apply. However, the classification results are greatly influenced by the scale of the data input. All of its attributes are considered equally important by Euclidean distance, but inappropriate with the relevance of each attribute. Thus, it makes classification results decreased. Some of the attributes are more or less relevance or, in fact, irrelevant in determining the classification results. To overcome the disadvantage of k-NN, Zolghadri, Parvinnia, and John proposed Weighted Distance Nearest Neighbor (WDNN) having the performance better than k-NN. However, when the result is k >1, the performance decrease. Gou proposed Dual Distance Weighted Voting k-Nearest Neighbor (DWKNN) having the performance better than k-NN. However, DWKNN focused in determining label of classification result by weighted voting. It applied Euclidean distance without attribute weighting. This might cause all attribute considered equally important by Euclidean distance, but inappropriate with the relevance of each attribute, which make classification results decreased. This research proposed Coefficient of Variation Weighting k-Nearest Neighbor (CVWKNN) integrating with MinMax normalization and weighted Euclidean distance. Seven public datasets from UCI Machine Learning Repository were used in this research. The results of Friedman test and Nemenyi post hoc test for accuracy showed CVWKNN had better performance and significantly different compared to k-NN algorithm. 
Pemodelan Topik pada Cuitan tentang Penyakit Tropis di Indonesia dengan Metode Latent Dirichlet Allocation Dziky ridhwanulah; Dhomas Hatta Fudholi
Jurnal Ilmiah SINUS Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i1.589

Abstract

Indonesia has a wide area and society. Therefore, a lot of information appear through social media, especially Twitter. This study aims to find out about conversation topics discussed by Indonesian people related to tropical diseases especially leprosy, malaria, and dengue fever. To find out the discussion topics, it can use the modeling topics analysis. One of the methods in topic modeling is Latent Dirichlet Allocation (LDA). Tweet data on tropical diseases in Indonesia was analyzed through this method. The study results showed that LDA was succeed in modeling the trend of Indonesian people's conversation topics related to tropical diseases. It obtained as many as 5 topics with a coherence value of 0.576453. Based on the results of the topic modeling, it can be concluded that the topics are such as the used funds to eradicate malaria and dengue fever, covid-19, blindness and leprosy, and its treatments and preventions.
Evaluasi Penerapan Aplikasi Sistem Keuangan Desa (Siskeudes ver. 2.0.3) dalam Peningkatan Kinerja Aparat Desa menggunakan Task Technology Fit Wawan Laksito Yuly Saptomo; Iwan Prasetyo; Bambang Satrio Nugroho; Elistya Rimawati
Jurnal Ilmiah SINUS Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i1.580

Abstract

The Village Financial System (Siskeudes) is an information system that assists the village government in reporting transparent and accountable financial reports. On the other hand, there are adjustments to financial management during the Covid-19 pandemic, so Siskeudes application also needs to accommodate these adjustments. Moreover, various problems were found in this system such as delays in financial reporting and recording errors. One of the factors of the problem is the mismatch of tasks in operating the application. This study aims to analyze the causes and consequences of task mismatches using the Task Technology Fit (TTF) model. The study described in this paper used the technology-to-performance chain as a framework to address the question of how task–technology fit influences the performance impacts. Respondents in this study were 50 village officials in Boyolali district who had used Siskeudes Ver. 2.0.3. This study was analyzed using a questionnaire with closed questions and open questions. This research method used Partial Least Square (PLS) using SmartPls 3.3.3. In addition, the results of this study indicated that the task of the technology-fit model has a significant effect on Performance Impact. Villages also have apparatus in accordance with Siskeudes operations. In this case, the finance department (having knowledge in finance) have a better level of performance. However, there are some villages where the operation of Siskeudes assisted by non-financial officials so that utilization does not have a significant effect on improving the performance of the finance department.
Pengukuran Tingkat Kesadaran Keamanan Siber di Kalangan Mahasiswa saat Study From Home dengan Multiple Criteria Decision Analysis (MCDA) Andriani Kusumaningrum; Hendro Wijayanto; Bayu Dwi Raharja
Jurnal Ilmiah SINUS Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i1.586

Abstract

Covid-19 pandemic has forced all sectors to be online. Likewise in higher education, college students must carry out their learning activities from home and use computer information technology. This high digital activity will make cyber-crime high. Measurement of cybersecurity awareness for students when studying from home can be a reference to educate students on the importance of cybersecurity. Its measurement used multiple criteria decision analysis or MCDA. Multi-criteria decision analysis (MCDA) is one of the elements risk managements contained in SNI ISO 31000. The measured dimensions were knowledge, attitude and behavior within areas of using passwords, email and internet, mobile devices, social media, incidents and consequences. The calculation of the weighting used the analytic hierachy process or AHP method. The results of the measurements showed a total value of 79.5% or entered at a moderate level. At this level, students already have good knowledge of cybersecurity readiness. However, students have not been maximal in applying it to their daily activities. The assessment of the knowledge dimension showed a value of 84%, attitude of 78.3% and behavior of 73.1%. It needs to be an increase in socialization in terms of cybersecurity. This result was 8.5% difference from previous research with different object and question components. It still showed the level of awareness at the level of "medium". Therefore, college students are better understanding the importance of cyber security and encourage themselves to become cybersecurity agents in the community.
Implementasi Algoritma Apriori pada Tata Letak Kategori Buku di Perpustakaan Al Fiyan Nizaela F; Teguh Susyanto; Retno Tri Vulandari
Jurnal Ilmiah SINUS Vol 20, No 1 (2022): Vol. 20 No. 1, Januari 2022
Publisher : STMIK Sinar Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30646/sinus.v20i1.566

Abstract

The library is a collection place of various kinds of books. Arrangement of books by category called book shelving makes easier for customers to choose and find books. However, the location and arrangement of book categories becomes a problem in a library. Based on the book borrowing data, data mining was carried out to find out a book borrowed simultaneously by library visitor in one transaction. This can be solved by using the association rule technique and a priori algorithm. Possible combinations of borrowed books were based on certain rules and then tested whether the combination of items meets the minimum support requirements to create eligible rules. The results of this study were in the form of information about a combination of borrowed books for libraries to arrange the location of books according to categories that are often borrowed together.

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