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J-SAKTI (Jurnal Sains Komputer dan Informatika)

jsakti
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Published by STIKOM Tunas Pematang Siantar

ISSN : 25489771 EISSN : 25497200 DOI : -

Core Subject : Science,

Computer Science & IT

JSAKTI adalah jurnal yang diterbitkan oleh LPPM STIKOM Tunas Bangsa Pematangsiantar yang bertujuan untuk mewadahi penelitian di bidang Manajemen Informatika. JSAKTI (Jurnal Sains Komputer dan Informatika) adalah wadah informasi berupa hasil penelitian, studi kepustakaan, gagasan, aplikasi teori dan kajian analisis kritis dibidang Ilmu Komputer terbit 2 kali setahun.

Arjuna Subject : -

Articles 473 Documents

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Meningkatkan Kemampuan Komunikasi Matematis Siswa Kelas V SD Negeri 064997 Kecamatan Medan Labuhan Melalui Pendekatan Matematika Realistik Ika Okta Kirana
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 2 (2017): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

This study aims to: (1) Improve students 'mathematical communication skills, and (2) Know the effectiveness of applying realistic mathematics learning to students' mathematics learning. This study is a classroom action research conducted in class V SD Negeri 064997 with the number of students as much as 19 people. Instruments used to collect data consist of tests, student and teacher activity observation sheets, and student response questionnaires. The result of the research shows: (1) realistic mathematics learning can improve students' mathematical communication ability, for class classification increased from 68,71% in cycle I to 72,96% in cycle II and 80,99% in cycle III, (2) realistic mathematics learning to the effective learning process mathematics, marked by the achievement of (i) classical mastery of 88.89% above the set criteria that is 85%, (ii) completeness of learning objectives in the third cycle reached 88.88% of students who achieve complete learning objectives 75% for each individual, (iii) the percentage of good category student activity is 77,78% at first meeting and second meeting 83,33% in cycle III, for teacher ability to manage learning equal to 82,05% %, (iv) time efficient, where the application of learning has been carried out in accordance with the time in RPP (v) student response to realistic mathematics learning dika very good categorization, to score the student's response questionnaire of 81.25% in cycle III.

Sistem Pembuatan Jaminan Tender Pada Perusahaan Jasa Pembuatan Asuransi Linda Sari Dewi; Ester Arisawati; Erene Gernaria Sihombing; Linda Maulida
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 1 (2018): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

A loss-making service company does not yet have a website on the information of making a Tender Guarantee as a prospective principal registration medium that will use our services for the manufacture of warranties. From the system that will be made to facilitate the making of guarantee which is certificate of Bank Guarantee. The purpose of this study to produce a system of information creation and website-based registration and registration. Online information is an important part of the development of technology in the internet world. The use of website media is very profitable for many parties, for the principal or the party of the company making the loss insurance services. The design of information systems making of this guarantee is made to assist and simplify the entire process of making the existing collateral in the company.

Fuzzy Query Database Untuk Sistem Pendukung Keputusan Yang Cerdas Poningsih Poningsih; Jalalludin Jalalludin
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 1 (2017): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

The process of education and teaching is one of the acts of Tri Dharma College. The success of the learning process can not be separated from the role of a lecturer. Quality of faculty plays an important role in a college that wants to achieve the goal of teaching and learning processes that produce graduates (output) quality. Lecturer rated quality if it has the value of a good performance, which is reviewed from several aspects. This paper proposes an analysis based on the evaluation of faculty performance feedback using fuzzy query the database for intelligent decision support system. The value of diverse faculty performance, so as to the criteria of each lecturer is still ambiguous and still need to be clarified. Here will be determined three criteria of assessment of faculty performance is lacking, just and good. Of the three criteria are later obtained a recommendation to make a decision. Model rules obtained is the value of students and professors taken the maximum value, then rules obtained from students and professors taken minimum value, in order to obtain the value of the performance of lecturers as well as the criteria. Then the value of this performance, it can be used by institutions as advice on making a decision relating to a lecturer.

Implementasi Algoritma Data Encryption Standard Pada Penyandian Record Database Neti Rusri Yanti; Alimah Alimah; Desi Afrida Ritonga
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 1 (2018): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Record databases are generally still often displayed in text form as information for users, so it can facilitate cryptanalyst to access and provide opportunities to do the leak, distribute or modify the database records. One of the cryptographic algorithms used to secure data is using the DES algorithm to encrypt the data to be stored or sent. The DES algorithm belongs to a cryptographic system of symmetry and is a type of block cipher. DES operates on a 64-bit block size. DES describes 64 bits of plaintext to 64 bits of ciphertext using 56 bits of internal key (internal key) or up-key (subkey). The internal key is generated from an external key 64-bit length. This research describes the process of securing database records by encrypting it based on DES algorithm, resulting in text record databases in the form of passwords that are difficult to understand and understand by others. This is done in an attempt to minimize the misuse of database records.

Penerapan Assosiation Rule Untuk Mendukung Sistem Pencapaian Target Pajak Pendapatan Kabupaten Deli Serdang Muhammad Eka; Rara Astili Siregar
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 2 (2018): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Deli Serdang Regency has a complete and unique topography because there are coastal areas, lowlands and mountainous highlands with an area of 2,497.72 Ha consisting of 22 sub-districts, 380 villages and 14 villages. The main potential of the Deli Serdang regency are agriculture, smallholder plantations, large plantations, fisheries, aquaculture, livestock, industry, trade and tourism. Based on this big potential, Deli Serdang District Region has a large potential income tax. Planning and regional income tax management system of Deli Serdang Regency are carried out at the Regional Revenue Department of Deli Serdang Regency. Based on achievement data of tax revenue which is posted on Regional Deliberation Separtment of Deli Serdang Regency website, rate of regional income is still slow. The target line graph and the realization of regional revenues indicate that the targets have to be achieved are still far, because until June 2017 achievement only Rp. 56,950,403,904.02, - while the target to the end of December 2017 is Rp. 484,520,000,000. To achieve the annual target as expected need a strategy. Association analysis is also known as one of the data mining techniques basis of various other mining data techniques. By using the Apriori Algorithm, an analysis of the obstacles in achieving targets can be done to find interesting rules that are useful in supporting the system of achieving local tax targets. The implementation of Association Rule to support the achievement of the tax target is expected to help the process of achieving the target of regional income tax, especially in the Regional Revenue Department of Deli Serdang Regency.

Penentuan Penilaian Kredit Menggunakan Metode Naive Bayes Berbasis Particle Swarm Optimization Rinawati Rinawati
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 1 (2017): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Bad credit is one of the credit risk faced by the financial and banking industry. Bad credit can be avoided by means of an accurate credit analysis of the debtor. The accuracy of credit ratings is crucial to the profitability of financial institutions. Improved accuracy of credit ratings can be done by doing the selection of attributes, because the selection of attributes reduce the dimensionality of the data so that operation of the data mining algorithms can be run more effectively and more cepat.Banyak research has been conducted to determine credit ratings. One of the methods most widely used method of Naive Bayes. In this study will be used method Naive Bayes and will do the selection of attributes by using particle swarm optimization to determine credit ratings. After testing the results obtained are Naive Bayes produce accuracy value of 72.40% and AUC value of 0.765. Then be optimized by using particle swarm optimization results show values higher accuracy is equal to 75.90% and AUC value of 0.773. So as to achieve the increased accuracy of 3.5%, and increased the AUC of 0.008. By looking at the accuracy and AUC values, the Naive Bayes algorithm based on particle swarm optimization into the classification category enough.

Sistem Pakar Identifikasi Defisiensi Unsur Hara Pada Tanaman Kopi Menggunakan Metode Certainty Factor Berbasis Web Muhammad Eka; Novita Anggraini
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 2 (2017): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

As the third largest coffee producing country in the world after Brazil and Vietnam, Indonesia is able to produce at least 748 thousand tons or 6.6% of coffee production in 2012. Of this amount, Robusta coffee production reached more than 601 thousand tons (80.4% ) and arabica coffee production reached more than 147 thousand tons (19.6%) .The area of coffee plantation in Indonesia reaches 1.3 million hectares (ha) with Robusta coffee plantation area reaches 1 million ha and arabica coffee plantation area reaches 0 , 30 ha. The use of technology in the cultivation of coffee cultivation in Indonesia, especially smallholder plantations is still minimal technology. Expert system approach by using certainty factor method to overcome uncertainty in identifying nutrient deficiency in coffee plant try to give solution that can be used by coffee farmer especially in smallholder plantation in sidical area of karo regency of north sumatera. By doing a direct observation of the leaves of coffee plants and ensure the symptoms of nutrient deficiency what actually happens in the coffee plant it is with this expert system of certainty of nutrient deficiencies can be known in detail without having to consult directly to the expert. Thus the fertilization process can be done properly, so it will affect the cost of production to a minimum.

Penerapan Algoritma C4.5 Untuk Penerimaan Siswa Baru Pada SMA Al-Azhar Medan Dedek Indra Gunawan Hts
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 2 (2018): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Schools with good reputation are very concerned about the admission selection process. Al-Azhar Medan High School is very concerned about this admission process. Every year many parents register their children to enter Al-Azhar High School Medan. Besides having good school facilities the teachers also have good competencies. The number of students who register makes the selection process take a long time. The C4.5 algorithm is one algorithm that changes the fact that is quite large into a decision tree. This algorithm is expected to be able to solve problems that occur in Al-Azhar High School Medan.

Analisa Terhadap Perbandingan Algoritma Decision Tree Dengan Algoritma Random Tree Untuk Pre-Processing Data Saifullah Saifullah; Muhammad Zarlis; Zakaria Zakaria; Rahmat Widia Sembiring
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 1, No 2 (2017): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Preprocessing data is needed some methods to get better results. This research is intended to process employee dataset as preprocessing input. Furthermore, model decision algorithm is used, random tree and random forest. Decision trees are used to create a model of the rule selected in the decision process. With the results of the preprocessing approach and the model rules obtained, can be a reference for decision makers to decide which variables should be considered to support employee performance improvement

Analitycal Hierarchy Process Untuk Menganalisa Faktor Pemilihan Web Browser Pada Desktop Wida Prima Mustika; Mardian Mardian; Rinawati Rinawati
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 2, No 1 (2018): EDISI MARET
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Convenience in using the internet is strongly influenced by the web browser used. Web browser is an application to be able to surf the internet, which serves to display and interact with the server. The development of the internet and the increasing number of website are there, make the internet as the primary source of information. With options and advantages possessed by each web browser, internet users often do not make the most of the features provided. It is that makes the background of how to apply the research methods Analytical Hierarchy Process (AHP) for choosing a web browser on the desktop. This research aims to create a decision support system for internet users in selecting the appropriate web browser criteria and requirements.

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