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All Journal Sinkron : Jurnal dan Penelitian Teknik Informatika International Journal of Artificial Intelligence Research Jurnal Mantik Penusa Jurnal Informatika Universitas Pamulang JIPN (Journal of Informatics Pelita Nusantara) MATRIK : Jurnal Manajemen, Teknik Informatika, dan Rekayasa Komputer Jurnal Nasional Komputasi dan Teknologi Informasi J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Mantik JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal Sains dan Teknologi TRIDARMA: Pengabdian Kepada Masyarakat (PkM) Jatilima : Jurnal Multimedia Dan Teknologi Informasi INFOKUM Community Development Journal: Jurnal Pengabdian Masyarakat MEANS (Media Informasi Analisa dan Sistem) Journal of Computer Networks, Architecture and High Performance Computing Jurnal Pengabdian kepada Masyarakat Nusantara International Journal of Basic and Applied Science Jurnal Media Informatika J-SAKTI (Jurnal Sains Komputer dan Informatika) Jurnal Info Sains : Informatika dan Sains Ulead : Jurnal E-pengabdian Jurnal Pengabdian Kepada Masyarakat Bersinergi Inovatif Jurnal Sistem Informasi dan Teknologi Jaringan
Bosker Sinaga
STMIK Pelita Nusantara
Aerospace Engineering Arts Humanities Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Health Professions Languange, Linguistic, Communication & Media Library & Information Science Mathematics Neuroscience Physics Public Health Social Sciences Transportation Other

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Sistem Pakar Mendiagnosa Kerusakansmartphone Android Menggunakan Metode Certainty Factor Bosker Sinaga; Paska Marto Hasugian; Angelia M Manurung
Journal Of Informatic Pelita Nusantara Vol 3 No 1 (2018): Journal Of Informatic Pelita Nusantara
Publisher : STMIK Pelita NUsantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (566.784 KB)

Abstract

Sistem pakar adalah sebuah sistem yang menggunakan pengetahuan manusia dimana pengetahuan tersebut dimasukkan kedalam sebuah komputer kemudian digunakan untuk menyelesaikan masalah-masalah yang membutuhkan keahlian manusia. Sulitnyadijaman sekarang ini dalam pekermbangan teknologi membuat teknologi dibidang smartphone berlomba dalam membuat produk terbaru. Sehingga teknologi smartphone sekarang ini membuat smartphone rentan terhadap kerusakan. Makapengembang sistem membuatsistempakar mendiagnosa kerusakan smartphone android untuk membuat pengguna smartphone lebih mudah mendapatkan informasi mengenai kerusakan tersebut. Dengan adanya tingkat keyakinan pengguna terhadap pakar membuat sistem ini memberi nilai keyakinan terhadap pengguna yang mengalami kerusakan Smartphone Android. Adapun metode yang digunakan pada sistem pakar ini adalah Metode Certanty Factor. Pada sistem inii pengguna dapat melakukan konsultasi terhadap keluhan mengenai kerusakan pada smartphone. Abstract An expert system is a system that uses human knowledge in which knowledge is incorporated into a computer and then used to solve problems that require human expertise. The difficulties of today in pekermbangan technology makes technology in the field of smartphones competing in making the latest products. So smartphone technology now makes smartphones vulnerable to damage. So system developers make expert systems diagnose android smartphone damage to make smartphone users more easily get information about the damage. Given the user's level of confidence in the expert make this system value confidence in users who experience Android Smartphone damage. The method used in this expert system is Certanty Factor Method. On this system users can consult on complaints about damage to the smartphone. Keywords:Expert System, Smartphone, Android, Certanty Factor.
Fuzzy Multiple Attribute Decision Macking Dengan Metode Oreste Untuk Menentukan Lokasi Promosi Fricles Ariwisanto Sianturi; Bosker Sinaga; Paska Marto Hasugian
Journal Of Informatic Pelita Nusantara Vol 3 No 1 (2018): Journal Of Informatic Pelita Nusantara
Publisher : STMIK Pelita NUsantara

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Abstract

Sistem Pendukung Keputusan merupakan sistem interaktif yang menyediakan  informasi,  pemodelan  dan  pemanipulasian  data.  Sistem  digunakan  untuk  membantu pengambilan  keputusan  dalam  situasi  yang  semi  terstruktur  dan  situasi  yang  tidak  terstruktur, dimana tak seorang pun tahu secara pasti bagaimana keputusan seharusnya dibuat. Sistem Pendukung Keputusan lebih ditujukan untuk mendukung manajemen dalam melakukan pekerjaan yang bersifat analitis dalam situasi yang kurang terstruktur dengan kriteria yang kurang jelas. Lokasi promosi sangat menentukan banyak atau tidaknya jumlah  calon mahasiswa/i baru yang mendaftar, dimana para pelajar SMA sederajat biasanya akan lebih mencoba untuk tes masuk keperguruan tinggi negeri dahulu dibandingkan masuk ke perguruan tinggi swasta, untuk itu pihak manajemen perlu merumuskan alternative Lokasi yang tepat. Pengertian Fuzzy Multiple Atribut Decision Making (FMADM) adalah suatu metode yang digunakan untuk mencari alternatif optimal dari sejumlah alternatif dengan kriteria. Inti dari FMADM adalah menentukan nilai bobot untuk setiap atribut, kemudian dilanjutkan dengan proses perangkingan yang menyeleksi alternatif yang sudah diberikan Kata Kunci : SPK, Lokasi Promosi, FMADMAbstrackDecision Support System is an interactive system that provides information, modeling and data manipulation. The system is used to assist decision making in semi-structured situations and unstructured situations, where no one knows exactly how decisions should be made. Decision Support System is intended to support management in performing analytical work in less structured situations with less clear criteria. The location of the campaign determines whether or not a new number of applicants is enrolled, where senior high school students are usually more likely to test for high school admission than in private universities, for which management needs to formulate appropriate location alternatives. Understanding Fuzzy Multiple Attribute Decision Making (FMADM) is a method used to find the optimal alternative of a number of alternatives with criteria. The core of FMADM is to determine the weight value for each attribute, then proceed with a ranking process that selects the alternatives already given. Keywords: SPK, Location of Promotion, FMADM
SISTEM PENDUKUNG KEPTUTUSAN PENENTUAN JUMLAH PRODUKSI SIMAS MARGARINE DENGAN MENERAPKAN METODE TSUKAMOTO PADA PT. SALIM IVOMAS PRATAMA Tbk. Iwan Setiawan; Bosker Sinaga
Journal Of Informatic Pelita Nusantara Vol 3 No 2 (2018): Computer Science
Publisher : STMIK Pelita NUsantara

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Abstract

Perancangan sistem perencanaan jumlah produksi dengan menggunakan metode Fuzzy Tsukamoto, berbahasa pemrograman visual basic 2010 dan menggunakan database Microsoft access 2007. Penyusunan penelitian ini dilakukan pada PT. Salim Ivomas Pratama Tbk. Hasil produk unggulan perusahaan ini adalah Simas Margarin. Perusahaan ini sering mengalami ketidakstabilan dalam permintaan distributor, dimana jumlah produk yang diminta distributor terkadang bisa dipenuhi dan terkadang tidak bisa dipenuhi. Untuk memenuhi disetiap permintaan distributor perusahan ini juga melakukan penambahan jumlah produksi. Hal ini menyebabkan jumlah produk yang dihasilkan berlebih dan apabila tidak terjual akan merugikan perusahaan. Hal ini menjadi faktor utama yang harus diselesaikan agar dapat meminimalisir kerugian. Untuk menyelesaikan permasalahan tersebut perlu diselesaikan dengan merencanakan jumlah produksi Simas Margarin berdasarkan jumlah permintaan dan persediaan dengan menggunakan metode Fuzzy Tsukamoto. Dari sistem yang dirancang dapat diketahui berapa jumlah produk Simas Margarin yang harus diproduksi untuk hari berikutnya, sehingga perusahaan dapat meminimalisir kerugian dan memenuhi kebutuhan distributor sesuai dengan permintaan.Kata Kunci : Sistem Perencanaan, Fuzzy Tsukamoto
Decision Support System for Determining the Best Hospital Nurses Grandmed Method Using Simple Additive Weighting (SAW) Ester Simanjuntak; bosker Sinaga
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i1.357

Abstract

Decision support system is a combination of sources of individual intelligence with the ability of components to improve the quality of decisions. Also decision support systems are computer-based information systems for management decision-making that deal with semi-structural problems. The purpose of this study is to the make the application of nurse employees in Grandmed Hospital Based on the results of research that has been Discussed items, namely the Decision Support System for Determining the Best Nurses in Grandmed Hospital by Using the Simple Additive Wieghting (SAW) Method with the benefit of being Able to Facilitate the processing of the data and Facilitate nurse in Determination of the best nurse for a promotion to a nurse at Grandmed Hospital
Decision Support System Recipient In the House Surgery Department of Housing and Settlement Region Deli Serdang Using TOPSIS Method Irwanda Prayogi; Bosker Sinaga
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i1.370

Abstract

The Inappropriate Home Assistance Program (PRTLH) or Home Renovation is assistance provided by the government to people who are Unable to reduce the economic burden. This assistance can be Obtained if the prospective beneficiary meets the specified criteria and conditions. This research is motivated by the house renovation assistance to the community is still subjective, less objective in the selection of the data and the weakness of the system used today. Therefore to help in the selection, a system for decision support was made in Determining the prospective recipient of house surgery assistance using the web-based TOPSIS method using a MySQL database, so that it can help smooth the evaluation process in the selection of subsequent home surgery recipients.
Supplier Selection Decision Support System Drug Wighted Methods Product (WP) Dina Fanita; Bosker Sinaga
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i1.377

Abstract

Supplier is very important for companies in services or goods, as well as parts procurement of medicines a Hospital, Hospital GrandMed is one of the largest hospital in Deli Serdang it's important to select suppliers for the procurement of drugs to be maintained and sustained quality of drug availabilitydrug and drug procurement logistics section to selectively choose a supplier with specific criteria so that the process of drug procurement at the Hospital GrandMed running properly and efficiently. The purpose of this study is to develop a decision support system to determine which is the best supplier priority Hospital medicine order so that can always keep the availability of drugs in terms of both the quality of medicines, price and delivery time. Data supplier in view of the historical kesupplier reservations about the company address, price, variants possessed drugs and drug quality and backed by the method of Weighted Product to support the decision which supplier to choose a priority determination. The results of this research program is to create a ranking and determination in the supplier selection GrandMed Hospital.Supplier selection decision support system with Weigthed method GranMed Product Hospital has been able to be built with UML and created with Visual Basic programming language in 2008.
Expert System Diagnose Disease in Poultry Using Certainty Factor Method Oktavio Nansia; Bosker Sinaga
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 1 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i1.387

Abstract

In this study, the authors conducted research to apply the Certainty Factor Method to Diagnose Diseases in Livestock and build applications in the application of Reviews These methods. Information technology is now a staple in developing a field. Along with the development of the times, proper information management is needed, so we need an Appropriate computational method. In this case the expert system method is one way to find out or identify diseases in poultry that have been infected with bacteria or viruses. A form of management information system specifically created to support a plan in making decisions to solve a case or problem. Artificial Intelligence (Artifical Intelligence) is one part of computer science that makes machines (computers) can do work as and as well as humans do. Expert System is one of the Artificial Intelligence techniques that attempts to adopt human knowledge into computers, so that computers can solve problems as is usually done by experts. Diagnosing disease in poultry is currently a problem that is still underestimated for most people, this is due to lack of knowledge or lack of information in terms of Overcoming and Preventing Contaminated, viruses or bacteria. Certainty Theory Theory was suggested by Shortlife and Buchanan in 1975 to a accommodate the uncertainty of thinking or inexact reasoning of an expert. Phrases like "maybe", "most likely", "almost Certain". To a accommodate this, Researchers conducted a certainty factor method to describe the level of expert confidence in problems in diseases Suffered by chickens already infected with dangerous viruses.
Data Mining Classification Of Filing Credit Customers Without Collateral With K-Nearest Neighbor Algorithm (Case study: PT. BPR Diori Double) Jeprianto Sinaga; Bosker Sinaga
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i2.401

Abstract

Unsecured loans are the community's choice for lending to banks that provide Reviews These services. PT. RB Diori Ganda is a regional private banking company that serves savings and loans and loans without collateral for the community. Submission of unsecured loans must go through an assessor team to process the analysis of the attributes that Affect the customer's classification so that credit can be approved, the which is then submitted to the commissioner for credit approval. But what if Reviews those who apply for credit on the same day in large amounts, of course this will the make the process of credit analysis and approval will take a long time. If it is seen from the many needs of the community to apply for loans without collateral, a classification application is needed, in order to Facilitate the work of the assessor team in the process of analyzing the attributes that Affect customer classification. To find out the classification of customers who apply for unsecured loans for using data mining with the K-Nearest Neighbor algorithm. The result of this research is the classification of problematic or non-performing customers for credit applications without collateral.
Election Decision Support System Based on the Best Teacher Performance Assessment in State Smp 2 One Roof SAW Method Using STM Hilir Tengku Afan Adhar; Bosker Sinaga; Sulindawaty Sulindawaty
Journal of Computer Networks, Architecture and High Performance Computing Vol. 2 No. 2 (2020): Computer Networks, Architecture and High Performance Computing
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnapc.v2i2.438

Abstract

The process of teacher performance assessment Effectively, precisely, Objectively, and transparently is the important point in selecting the best teacher assessment based on their performance. This assessment was Carried out in SMP Negeri 2 One Roof STM Hilir to avoid the accusations of Injustice and family relationship with the assessor in the school, both the Headmaster and the teacher selection committee. Therefore, a decision system is needed in selecting the decision. One method is the which can be used in solving the problem of Multiple Criteria Decision Making (MADM) is by using Simple Additive weighting (SAW) method, Because The method concept is so easy to understand, simple, effective computationally and has ability in measuring the relative performance of alternative decisions in mathematical form. In addition, Also the design application used UML (Unified Modeling Language) is implemented a system roomates in the software by using Web Programming and MySQL as its database. Finally, based on the design of this application, it can be seen that the decision system by using SAW method is very effective, fast, computerized and transparent accurately in Determining the teacher performance in SMPN 2 One Roof STM Hilir.
Pelatihan Peningkatan Kemampuan Pengunaan Microsoft Office Bagi Mahasiswa Sekolah Tinggi Teologi Baptis Medan Jonson Manurung; Bosker Sinaga; Paska Marto Hasugian; Logaraj Logaraj; Sethu Ramen
Jurnal Pengabdian kepada Masyarakat Nusantara Vol. 2 No. 2 (2022): Jurnal Pengabdian kepada Masyarakat Nusantara (JPkMN)
Publisher : Cv. Utility Project Solution

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (363.033 KB) | DOI: 10.55338/jpkmn.v2i2.252

Abstract

Students at almost all levels of education are required to be technology literate, especially information technology. In addition to supporting educational activities, it also supports students in solving administrative problems. One of the software that can be used to support education and administrative issues is Microsoft Office. The application has many features that are still not familiar to some users, especially students. This was experienced by STT Baptist Medan who was not familiar with the many tools provided in Microsoft Word, Microsoft Excel, and Microsoft PowerPoint software. Some of the obstacles that are often encountered are the less than optimal use of the merge function in Word, the function of conditional formulas in Excel and animation, and multimedia in PowerPoint. During the implementation of service activities, it was concluded that the importance of direct Microsoft office training to students, especially study programs outside of computers. In the implementation of the training, students are able to use Microsoft Excel to manage numerical data. Microsoft word in managing data. Also the use of Microsoft PowerPoint in making presentations.
Co-Authors Adhar, Tengku Afan Adrianta Pandia Agil Alfarezi Agustina Purba Al Hashim, Safa Ayoub Anastasya Aritonang Rajagukguk Angelia M Manurung Arjon Samuel Sitio Barus, Eviyanti Br Barus, Nadela Bedizatulo Laia Br Barus, Maya Theresia Br Sitepu, Siska Feronika Br Tarigan, Nera Mayana Cindy Shintia Afriani Harahap Daniel Peris Halomoan Hutajulu Desimeri Laoli Dessy Sarah Simbolon Dina Fanita Dona Pasaribu Ester Simanjuntak Fanita, Dina Fretty Wandani Ginting Fristi Riandari Fristi Riandari Halawa, Dedi Harefa, Ade May Luky Harry Sutanto Hasanah, Holis Hasren Meliani Zebua Hasugian , Paska Marto Hasugian, Penda Sudarto Hengki Tamando Sihotang Humala Simangunsong Hutahaean, Harvei Desmon Ida Royani Simanungkalit Irwanda Prayogi Ivan NUSANTARA siagian Iwan Setiawan Jakaria Sembiring Jeprianto Sinaga Jijon Raphita Sagala Jimmi Herdianda Gurusinga Jimmi Herdianda Gurusinga Julius Sinaga Julius Sinaga, Julius Junius Sembiring Krisswanti, Yuri Laia, Erlina Logaraj Logaraj Lorena Ade Yolanda Sembiring Manurung, Jonson Marpaung, Meman Marpaung, Preddy Marpaung, Rahmadina Meman Marpaung Miftahul Jannah Muhammad Ibnu Hawari Murni Marbun Nansia, Oktavio Nera Mayana Br Tarigan Nera Mayana Br Tarigan Br Tarigan Nera Mayana Br.Tarigan Nina Karina Lolo Bintang Nopriansya Nopriansya Oktavio Nansia Parastia, Devina Pardede, AM H Prayogi, Irwanda Puspa Sari Puspita Sari R. Mahdalena Simanjorang Ramen, Sethu Rehliasna Br Barus Riska Amelia Riski Hari Hadi Salomo Sijabat Santhia Sarjon Defit Sembiring, Abdi Agustianta Sethu Ramen Silalahi, Monalisa Hotmauli Simamora, Erli Susanti Simanjuntak, Ester Sinaga, Anita Sindar R M Sinaga, Jeprianto Sinaga, Lamganda S Siregar, Nurika Sari Sucitra Sidabutar Sulindawaty Sulindawaty, Sulindawaty Susandri, Susandri Susanto, Asen Tania, Keke Tarigan, Eviyanti Br Tarigan, Ita Roseni Br Tarigan, Nera Mayana Br Tengku Afan Adhar Uzitha Ram Zamili, Kristof Rian