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Performance Analysis of Ujung Serdang Village Office Employees Using the Multi Factor Evaluation Process Method Nera Mayana Br Tarigan; Sinaga, Bosker; Siregar, Nurika Sari; Parastia, Devina
Jurnal Multimedia dan Teknologi Informasi (Jatilima) Vol. 7 No. 01 (2025): Jatilima : Jurnal Multimedia Dan Teknologi Informasi
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jatilima.v7i01.1119

Abstract

The final report of this research aims to examine employee performance at the Ujung Serdang Village Office using the Multi Factor Evaluation Process (MFEP) method. Improving the quality of public services in villages is largely determined by the performance of the apparatus involved, considering their role as the front guard in serving the community. However, various factors such as discipline, competence, productivity and technological adaptability often influence employee performance, so a comprehensive and systematic evaluation is needed. Research Method, namely the survey research method, is a research method carried out using surveys or data collection through research respondents. The method used to analyze the data is the Multi Factor Evaluation Process Method. The purpose of this research is to apply and find out the results of the Multi Factor Evaluation Process Method analysis in the Performance Analysis of Ujung Serdang Village Office Employees. The research results show accurate calculations with relevant assessments where values ​​with a difference of 0.01 are shown in the assessment process. From the assessment calculation process, the highest score obtained by alternative 05 was with an Evaluation Weight Value of 94.35. The research conclusion is that the MFEP method is effective in evaluating employee performance because it is able to consider various important factors in a structured manner.
PKM PEMBUATAN APLIKASI DAN PELATIHANPENGGUNAAN APLIKASI PENILAIAN KINERJA GURU SMK 2 DELIMA SARI TIGA JUHAR Tarigan, Eviyanti Br; Tarigan, Nera Mayana Br; Sinaga, Bosker; Simamora, Erli Susanti
Jurnal Pengabdian Kepada Masyarakat Bersinergi Inovatif Vol. 2 No. 1 (2024): Jurnal Pengabdian Kepada Masyarakat Bersinergi Inovatif
Publisher : PT. Gelora Cipta Nusantara

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Abstract

Perkembangan teknologi informasi tidak hanya berperan dalam bidang bidang perekonomian, dan bidang pertanian namun juga bidang pendidikan sudah menggunakan teknologi. SMK 2 Delima Sari Tiga Juhar dalam penggunaan teknologi informasi masih belum maksimal contohnya belum adanya penggunaan teknologi khususnya aplikasi dalam penilaian kinerja guru sehingga setiap akhir semester tidak ada pemacu guru-guru untuk menjadi yang terbaik. Kurangnya sosialisasi dalam pemanfaatan aplikasi mengakibatkan aplikasi penilaian kinerja guru belum dibangun di SMK 2 Delima Sari Tiga Juhar. Pelatihan penggunaan juga harus dilakukan agar terbiasa dengan tool-tool aplikasi yang disediakan. Hal inilah yang melatar belakangi tim pengabdian untuk memberikan sosialisasi pelatihan “PKM Pembuatan Aplikasi dan Pelatihan Penggunaan Aplikasi Penilaian Kinerja Guru SMK 2 Delima Sari Tiga Juhar”. Kegiatan ini dilaksanakan di SMK 2 Delima Sari Tiga Juhar dengan metode sosialisasi dan praktik langsung dalam penggunaan aplikasi. Pembuatan aplikasi dapat membantu pihak SMK 2 Delima Sari Tiga Juhar dalam penilaian kinerja guru. Aplikasi dilakukan pelatihan dan admin yang ditugaskan dalam mengelolap apalikasi dapat dan cepat menggunakan aplikasi tersebut. Dari pernyataan tersebut bahwa aplikasi yang dibangun mudah untuk dipahami dan dapat mengelola data penilaian guru.
Decision Support System for Determining the Best Hospital Nurses Grandmed Method Using Simple Additive Weighting (SAW) Simanjuntak, Ester; Sinaga, bosker
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 Prayogi, Irwanda; Sinaga, Bosker
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) Fanita, Dina; Sinaga, Bosker
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 Nansia, Oktavio; Sinaga, Bosker
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) Sinaga, Jeprianto; Sinaga, Bosker
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 Adhar, Tengku Afan; Sinaga, Bosker; 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.
Penerapan Metode MOORA Dalam Pemilihan Bibit Lele Terbaik Br Tarigan, Nera Mayana; Sinaga, Bosker; Amelia, Riska; Krisswanti, Yuri
Jurnal Media Informatika Vol. 5 No. 3 (2024): Jurnal Media Informatika Edisi Mei - Agustus
Publisher : Jurnal Media Informatika

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Abstract

Bibit lele terbaik harus dipilih agar menghasilkan pembesaran lele yang berkembang secara merata. Banyak peternak lele dalam memilih bibit tidak memperhatikan kriteria bibit lele terbaik, sehingga saat pembesaran dalam kolam banyak lele yang tidak berkembang atau kurus dan juga ada lele yang mati. Masalah asal pilih bibit lele juga dapat mengakibatkan besaran lele yang tidak merata, mengakibatkan lele yang paling besar memakan lele yang masih kecil, hal ini juga sangat berpengaruh terhadap keberhasilan hasil panen ikan lele. Adapun tujuan penelitian ini adalah untuk menerapkan metode MOORA dalam pemilihan bibit lele terbaik dan untuk mengetahui hasil analisa metode MOORA dalam pemilihan bibit lele terbaik. Metode Penelitian yaitu metode penelitian survei merupakan metode penelitian yang dilakukan dengan menggunakan survei atau pengumpulan data melalui responden penelitian. Algoritma/Metode yang digunakan dalam menganalisa data adalah metode moora. Pada penelitian ini melibatkan 6 kriteria dan 10 sampel macam ikan. Adapun kriteria yang dilakukan pada penelitian ini adalah Pergerakan Ikan, Nafsu Makan Ikan, Ukuran Ikan, Kondisi Tubuh Ikan, Pernapasan Ikan, Kondisi Kulit Ikan. Hasil penelitian penerapan metode MOORA pemilihan bibit terbaik dengan 10 sampel ikan dengan nilai tertinggi dengan kode ikan A1 dengan nilai 0.3094 sedangkan peringkat berikutnya A9, A4, A8 dan A3. Sehingga diharapkan penelitian ini memberikan pengetahuan bagi seluruh petani budidaya ikan lele pada Desa Ujung Serdang Kec. Tanjung Morawa Kab. Deli Serdang dalam pemilihan bibit ikan lele yang terbaik sesuai dengan kriteria yang telah ditentukan. Kesimpulan yang ditarik bahwa untuk pemilihan bibit lele terbaik dapat dilalukan analisa data dengan kriteria-kriteria yang sudah ditetapkan dengan bobot.
Penerapan Metode Smart Dalam Pemilihan Ketua RT Pada Desa Sei Mencirim Sinaga, Bosker; Br Tarigan, Nera Mayana; Simamora, Erli Susanti; Hasanah, Holis
Jurnal Media Informatika Vol. 5 No. 3 (2024): Jurnal Media Informatika Edisi Mei - Agustus
Publisher : Jurnal Media Informatika

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Abstract

Pemilihan ketua RT sangat perlu diperhatikan dari beberapa aspek untuk memaksimalkan ketua RT yang terpilih. Masalah yang sering terjadi dimana kepala desa atau kepala dusun sebagai perwakilan desa pada wilayah tertentu membuka forum dan meminta kepada warga siapa yang mau menjadi ketua RT dan menlakukan pemungutan suara ditempat. Hal ini bisa menjadi kurang maksimal, dimana ketua RT yang mencalonkan dan terpilih tidak maksimal dalam bekerja, karena belum mengetahui apa hak dan kewajiban sebagai ketua RT juga dapat berpotensi mengundurkan diri sebagai ketua RT sebelum waktu masa jabatan habis. Dengan pemilihan secara langsung dengan tidak ada tahapan yang dibuat dengan kriteria-kriteria yang jelas, maka akan menimbulkan masalah dikemudian hari. Penelitian ini bertujuan untuk menerapkan metode smart dalam pemilihan ketua RT dan untuk melakukan analisa dengan metode smart dalam pemilihan ketua RT. Metode Penelitian yaitu metode penelitian survei merupakan metode penelitian yang dilakukan dengan menggunakan survei atau pengumpulan data langsung kepihak Desa Sei Mencirim. Algoritma/SMART yang digunakan dalam menganalisa data adalah metode SMART. Hasil penelitian dari data yang di analisa dengan metode SMART yang terpilih menjadi ketua RT disalah satu lingkungan Desa Sei Mencirim yaitu Josua Fatra Manihuruk dengan nilai akhir 92. Maka dari hasil penelitian dapat disimpulkan bahwa metode SMART dalam masalah pemilihan ketua RT dapat diterapkan.
Co-Authors Adhar, Tengku Afan 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 Ester Simanjuntak Fanita, Dina Fretty Wandani Ginting Fristi Riandari 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 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 Siregar, Nurika Sari Sucitra Sidabutar Sulindawaty Sulindawaty, Sulindawaty Susandri, Susandri Tania, Keke Tarigan, Eviyanti Br Tarigan, Ita Roseni Br Tarigan, Nera Mayana Br Tengku Afan Adhar Uzitha Ram Zamili, Kristof Rian