Articles
<![CDATA[Application of the Naive Bayes Algorithm to Predict New Student Admissions at Mulia Pratama Vocational School in the Digital Age ]]>
<![CDATA[Andre Edlin Siahaan]]>;
<![CDATA[Agustina Simangunsong]]>
<![CDATA[ DISTANCE: Journal of Data Science, Technology, and Computer Science Vol 1 No 1 (2021): December : 2021 ]]>
Publisher : <![CDATA[Putaka Timur Publisher ]]>
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<![CDATA[The development in the era of globalization and the rapid progress in the field of information technology has had a considerable influence both in the field of education. Several problems can be explained related to the achievement of results in predicting the results of new student admissions at SMK Mulia Pratama in the digital era. The promotion is quite complicated because there is no target for the results of new student admissions so the promotion does not know the achievement of new student admissions who are registered for each promotion. To solve this problem, the naive Bayes method is used. Naïve Bayes is an algorithm that can be used to predict the results of new student admissions that can be categorized as achieved or not achieved. The data was used in this study from January to December 2018. From the results of the application of the nave Bayes method, the highest probability value is in class P(X). Receipt of acceptance prediction = No so that it can be concluded that the results of acceptance are included in the classification of "No" meaning that every new acceptance improves.]]>
<![CDATA[Expert System to Diagnose Disease Mushroom Plants Using Backward Chaining Method ]]>
<![CDATA[Dinda Vionica Zahro]]>;
<![CDATA[Agustina Simangunsong]]>
<![CDATA[ DISTANCE: Journal of Data Science, Technology, and Computer Science Vol 1 No 1 (2021): December : 2021 ]]>
Publisher : <![CDATA[Putaka Timur Publisher ]]>
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<![CDATA[Mushrooms are one of the plants that have high nutritional content that other types of vegetables do not have. This plant is easy to cultivate because it easily adapts to the environment. The risk of loss in the oyster mushroom business cannot be avoided because it is not careful or diligent in maintaining oyster mushrooms. As a tool, an expert system is used to identify the type of oyster mushroom disease using several methods including the backward chaining method. The backward chaining method is a method that starts from the conclusion of several existing facts to refute or support the hypothesis. The results of the research and discussion that have been carried out have concluded that an expert system designed to be able to diagnose fungal plant diseases, the method used can be used as an alternative in calculating the diagnosis of fungal diseases and an expert system designed to make it easier for farmers to diagnose diseases that occur in fungal.]]>
<![CDATA[Analisa Dan Implementasi Metode Knowledge Base Recomendation Dalam Penerimaan Karyawan: Analysis and Implementation of Knowledge Base Recommendation Methods in Employee Acceptance ]]>
<![CDATA[Agustina Simangunsong]]>
<![CDATA[ Journal of Computer Networks, Architecture and High Performance Computing Vol. 1 No. 1 (2019): Computer Networks, Architecture and High Performance Computing ]]>
Publisher : <![CDATA[Information Technology and Science (ITScience) ]]>
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DOI: 10.47709/cnapc.v1i1.48
<![CDATA[Rekomendasi usaha pertama yang dilakukan perusahaan untuk memperoleh karyawan yang qualified dankempeten yang akan ikut sarta mengerjakan semua pekerjaaan pada perusahaan. Untuk mempermudah perusahaan maka perusahaan membuat berbasis web (website) untuk menyeleksi karyawan dimana perusahaan akan mengambil data para pelamar sebagai bahan pertimbangan. Metode Knowledge Based Recommendation sering juga di kenal istilah metode penilaian. konsep dasar metode Knowledge based recommendation adalah mencari penilaian, ketanggapan dan prestasi. Metode ini membutuhkan proses normalisasi keputusan kesuatu skala yang dapat di perbandingkan dengan semua alternative yang ada. sistem rekomendasi ini dirancang untuk memberikan kemudahan pada pelamar dan perusahaan yang akan menggunakan sistem rekomendasi karyawan.]]>
<![CDATA[Application of Certainty Factor Method For Diagnosis Expert System Skin Diseases In Humans ]]>
<![CDATA[Selvia Katarina Waruwu]]>;
<![CDATA[Agustina Simangunsong]]>
<![CDATA[ Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (2020): Computer Networks, Architecture and High Performance Computing ]]>
Publisher : <![CDATA[Information Technology and Science (ITScience) ]]>
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DOI: 10.47709/cnapc.v2i2.399
<![CDATA[Dental disease is one of the many health problems Complained of by the people of Indonesia. Dental health is a reflection of human health. Lack of knowledge and limited sources of information on oral health have the caused public awareness to maintain oral and dental health is still low .. The development of one of the fields of information technology namely artificial intelligence has been Widely applied in various fields of life. In this study, the dental and oral disease expert system uses the Dempster Shafer method to control inferences that Contain thought patterns and reasoning mechanisms used by experts in solving problems.]]>
<![CDATA[Decision Support System Employee Performance Appraisal Method Using TOPSIS ]]>
<![CDATA[Tri Benny Febrian]]>;
<![CDATA[Agustina Simangunsong]]>
<![CDATA[ Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (2020): Computer Networks, Architecture and High Performance Computing ]]>
Publisher : <![CDATA[Information Technology and Science (ITScience) ]]>
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DOI: 10.47709/cnapc.v2i2.412
<![CDATA[Employee performance is the level of achievement of an employee of a particular task that is influenced by internal and external factors of the company where the employee works. Employee performance is influenced by many factors including competency, attendance, loyalty and length of work. The purpose of this study is to create and design a Decision Support System (SPK) for evaluating employee performance using the TOPSIS method and applying the method to employee performance evaluation SPK. TOPSIS is a decision-making method that has multiple criteria or criteria. This type of research is a quantitative descriptive method that presents methods and research objects based on numbers. The study population was 42 employees at PT Catur Karya Sentosa and used as many as 4 employees as research samples and data were collected by interview method. The results showed that the calculation of employee performance using the TOPSIS algorithm runs well and efficiently and can be done every month so as to minimize or even eliminate the employee performance appraisal method subjectively. Ranking taken from the results of this method is the final result after the calculation of positive and negative ideal solutions as consideration of the final decision making by the board of directors.]]>
<![CDATA[Pelatihan Dasar Linux Operasi Sistem Bagi Siswa-Siswi SMA Negeri 2 ]]>
<![CDATA[Petti Indrayati]]>;
<![CDATA[Endra A.P Marpaung]]>;
<![CDATA[Agustina Simangunsong]]>
<![CDATA[ Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 2 No. 2 (2022): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN) ]]>
Publisher : <![CDATA[Cv. Utility Project Solution ]]>
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DOI: 10.55338/jpkmn.v2i2.241
<![CDATA[Penerapan Ipteks yang dilakukan adalah berbentuk pelatihan pengenalan dan eksplorasi Linux operating system. Kegiatan pelatihan keterampilan ditunjang dengan ceramah, tanya jawab dan tentu saja praktek secara langsung di laboratorium komputer. Modul pelatihan akan diberikan kepada pesertase bagai alat bantu dalam kegiatan praktek dilaboratorium. Tujuan dari pelaksanaan program pengabdian ini adalah untuk meningkatkan keterampilan siswa-siswi dalam penggunaan aplikasi pengolah kata, dan untuk mengenalkan system operasi Linux. Dari hasil evaluasi serta temuan- temuan yang kami peroleh selama pelaksanaan kegiatan diharapkan bahwa program telah mampu memberikan manfaat yang sangat besar dan tepat sasaran bagi khalayak siswa-siswi akhir. Pengabdian seperti ini merupakan bentuk yang sangat efektif untuk memberikan penyegaran dan tambahan wawasan serta pengetahuan baru di bidang teknologi informasi di luar proses pembelajaran yang diterima siswa-siswi akhir.]]>
<![CDATA[Sistem Pendukung Keputusan Dalam Menentukan Penerima Bantuan Langsung Tunai Dengan Metode Profile Matching Pada Kantor Kepala Desa Narigunung 1 ]]>
<![CDATA[Adi Ebenezer Silitonga]]>;
<![CDATA[Agustina Simangunsong]]>
<![CDATA[ Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 3 (2020): Desember 2020 ]]>
Publisher : <![CDATA[Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah ]]>
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DOI: 10.32672/jnkti.v3i3.2483
<![CDATA[The government provides direct cash assistance for the community, which originates from the Village Fund or called BLT-Dana Desa. The criteria for BLT recipients were very clear in writing. From the data collected, the aspects and criteria for BLT recipients were determined. The Profile Matching method or profile matching is applied to the calculation of the assessment gap in decision makers. Weighting in the Profile Matching method is a definite value that is firm on certain values because the values are members of a crisp set. In a strict set, the membership of an element in the set is expressly stated whether the object is a member of the set or not by using the characteristic function. Identification of problems in community research wants transparency and equality of BLT recipients for residents who do not earn. Different criteria emerged from the opinions of villagers in determining BLT recipients. Implementation of data collection and distribution of BLT-Village Funds that are effective, efficient, and right on target. The determination of recipients of BLT funds was supported by an assessment of Aspects and Criteria. The application design uses the PHP programming language and Xampp database management by applying the profile matching method.]]>
<![CDATA[Penerapan Metode Analytical Hierarchi Process (AHP) Dalam Menentukan Tingkat Kerentanan Stunting (Gizi Buruk) Desa Di Kecamatan Juhar ]]>
<![CDATA[Juliansen Saragih]]>;
<![CDATA[Agustina Simangunsong]]>
<![CDATA[ Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 5 (2021): Oktober 2021 ]]>
Publisher : <![CDATA[Program Studi Teknik Informatika, Fakultas Teknik. Universitas Serambi Mekkah ]]>
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DOI: 10.32672/jnkti.v4i5.3389
<![CDATA[In February, measurements of weight and height of children born in 2016-2020 were carried out in 25 villages. The data collection conducted by Juhar District officers was only based on height (TB) and weight (BB), these two criteria did not represent the determination of a child susceptible to stunting considering several other causes of stunting. Determination of the level of vulnerability to stunting can be studied using a Decision Support System with the Analytical Hierarchy Process (AHP) method. , and parenting styles. presents previous research in a straightforward and comprehensive manner. The formulation of the problem in this study applies the Analytical Hierarchy Process (AHP) method in determining the level of stunting vulnerability (malnutrition) in Juhar District. How big is the result of applying the AHP method in determining the level of vulnerability to stunting (malnutrition) in Juhar District. designing and building a decision system using the Analytical Hierarchy Process (AHP) method in determining the level of stunting vulnerability (malnutrition) in the village of Juhar District based on web programming.]]>
<![CDATA[IMPLEMENTATION OF THE PROMOTHE METHOD IN THE DECISION SUPPORT SYSTEM TO DETERMINE THE LEARNING GUIDE: IMPLEMENTATION OF THE PROMOTHE METHOD IN THE DECISION SUPPORT SYSTEM TO DETERMINE THE LEARNING GUIDE ]]>
<![CDATA[Agustina Simangunsong]]>
<![CDATA[ Jurnal Mantik Vol. 4 No. 1 (2020): May: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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<![CDATA[In learning to teach not only the students who evaluated the results of the study, the Tentor also evaluated the teaching and learning system, this is done to know the feasibility and quality of the tentor who teaches so that it is known which has a good and professional performance description. In determining the best sort order often appears subjectivity of decision makers, therefore there are often mistakes so that there is a problem that causes the effort to determine the order of the achievements of the tentor that will be rewarded, from this can cause jealousy for each tentor who feel himself best but do not get the award as it should. The Promethee method is a method used in multicriterion order determination or prioritization. The Promothee method is a very efficient and simple method, and is easy to implement compared to other methods of completing multicriterion-based problems. Testing the application of decision support system to determine the best tentor, in the decision to use the sample data results achieved in the following three ways: Leaving Flow, Entering Flow and Net Flow.]]>
<![CDATA[ANALYSIS OF APPLICATION OF TECHNIQUE FOR ORDER PREFERENCE BY SIMILLARITY TO IDEAL SOLUTION IN SELECTING ENERGY SAVE ELECTRICAL LIGHTS BALL FOR HOUSEHOLD: ANALYSIS OF APPLICATION OF TECHNIQUE FOR ORDER PREFERENCE BY SIMILLARITY TO IDEAL SOLUTION IN SELECTING ENERGY SAVE ELECTRICAL LIGHTS BALL FOR HOUSEHOLD ]]>
<![CDATA[Agustina Simangunsong]]>
<![CDATA[ Jurnal Mantik Vol. 3 No. 4 (2020): February: Manajemen, Teknologi Informatika dan Komunikasi (Mantik) ]]>
Publisher : <![CDATA[Institute of Computer Science (IOCS) ]]>
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<![CDATA[In this bulb selection of users is often confused with the selection of bulbs that are so much circulating in the market, ranging in terms of brand, type, quality, competitive price and with other advantages that in offer often make the users confused to get a light bulb that is energy efficient at an affordable price and with the best quality. Problems not only stop at the time when the bulb placement in each room of the house also often gets a problem. A common problem is inconsistency, which is common when a light bulb has been placed. Watt capacity available in bulb often does not correspond to the size of the room, resulting in less optimal illumination, watt capacity or large power consumption sometimes also does not guarantee to be able to get a good illumination. Therefore it takes a decision support system that can do the calculation of value to be able to help the user determine the bulb that is desired well and precisely according to the needs. This decision support system implements the method of technique for order preference by Simillarity to ideal solution (TOPSIS), which is a method that can provide a weighted and straddles for each of its criteria. With the technique for order preference by Simillarity to ideal solution (TOPSIS) This author creates a system that hopefully can help the decision making in the selection of electric light bulb. Therefore, the authors feel the need for a decision support system to solve the problem of electric bulb selection for the household.]]>
