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Penerapan Metode Servqual Dalam Menentukan Tingkat Kepuasan Masyarakat Terhadap Pelayanan Pengurusan Surat Izin Usaha Mikro Dan Kecil Pada Kantor Camat Dolat Rayat Kabupaten Karo Junius Sembiring; Bosker Sinaga
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 2 (2021): April 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i2.2933

Abstract

Abstrak— Adanya permasalahan yang dihadapai masyarakat adalah masyarakat tidak bisa memberikan penilaian kepuasan terhadap pengurusan izin uasaha mikro dan kecil, hal ini membuat pegawai tidak bias mengukur kepuasan masyarakat untuk meningkatkan kualitas pelayanan di kantor camat. Dalam mengambil keputusan diperlukan sebuah sistem yang dapat menentukan tingkat kepuasan masyarakat berdasarkan kriteria yang ditentukan oleh pengguna. Penerapan Metode Servqual Dalam Menentukan Tingkat Kepuasan Masyarakat Terhadap Pelayanan Pengurusan Surat Izin Usaha Mikro Dan Kecil Pada Kantor Camat Dolat Rayat Kabupaten Karo. Metode Servqual adalah suatu kuesioner yang dapat mengukur kualitas jasa. Metode ini digunakan untuk mengukur kualitas layanan dari atribut masing-masing dimensi, sehingga akan diperoleh nilai gap (kesenjangan) yang merupakan selisih antara persepsi konsumen terhadap layanan yang diterima. Metode Servqual memiliki dua perspektif internal dan perspektif eksternal. Perspektif internal didefenisikan dengan bebas kesalahan (zero defect) sedangkan perspektif eksternal digunakan untuk memahami apa yang diharapkan konsumen, dirasakan konsumen dan kepuasan konsumen.Kata kunci: Pelayanan, Kepuasan Masyarakat, Penilaian, Metode Servqual Abstract— There is a problem faced by the community is that the community cannot provide an assessment of satisfaction with the management of micro and small business permits, this makes employees not biased to measure community satisfaction to improve service quality in the camat office. In making decisions, we need a system that can determine the level of community satisfaction based on criteria determined by the user. Application of the Servqual Method in Determining the Level of Community Satisfaction with Services for Managing Micro and Small Business Licenses at the Sub-District Office of Dolat Rayat, Karo Regency. The Servqual method is a questionnaire that can measure service quality. This method is used to measure the service quality of the attributes of each dimension, so that a gap value is obtained which is the difference between consumer perceptions of the services received. The Servqual method has two internal perspectives and an external perspective. The internal perspective is defined as being free of errors (zero defect), while the external perspective is used to understand what consumers expect, feel and customer satisfaction.Keywords: Service, Community Satisfaction, Assessment, Servqual Method
Sistem Pakar Mendiagnosa Penyakit Ayam Kampung Dengan Menggunakan Metode Certainty Factor Berbasis Web Ida Royani Simanungkalit; Bosker Sinaga
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 4, No 6 (2021): Desember 2021
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v4i6.3547

Abstract

Poultry farming in Indonesia is still not successful in meeting some of the domestic needs, including being vulnerable to attacks by dangerous animal diseases. People are also restless because of dangerous diseases from chickens that can be transmitted to humans due to consuming chicken meat that has been infected with the disease. The case study in conducting research to diagnose free-range chicken disease was carried out at the Bang Ari Chicken Farm on Jalan Jamin Ginting Pamen Complex No.14 Padang Bulan, Medan Baru District, Medan City. The required criteria data is the type of disease and symptoms of the disease that attacks native chickens as well as the treatment actions that will be taken against the diseased chickens according to the disease experienced. This study aims to build a web-based expert system in diagnosing free-range chicken diseases using the certainty factor method. From the case example, the results of the calculation of certainty factor on the symptoms of free-range chickens, the disease that has the largest percentage value is P 7, namely Chronic Cough Disease of 97.50%. The system for diagnosing free-range chicken disease was built using a web-based programming language and MySQL database.
Analisa Certainty Factor Dalam Mendiagnosa Kerusakan Alat Pemancar Radio 87.6 Dass FM Lubuk Pakam Harry Sutanto; Bosker Sinaga
Jurnal Nasional Komputasi dan Teknologi Informasi (JNKTI) Vol 3, No 2 (2020): OKTOBER 2020
Publisher : Program Studi Teknik Komputer, Fakultas Teknik. Universitas Serambi Mekkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32672/jnkti.v3i2.2298

Abstract

An FM transmitter or FM transmitter is a source of radio vibrations emitted by a device called an oscillator or oscillator. While the oscillator is a device that can produce high frequencies. The scope of this research is an expert system that is built only to discuss the symptoms and damage to radio transmitters and solutions to fix them. The resulting output is radio transmitter malfunction information and solutions to repair it. The programming language used in solving this problem is PHP by using the mysql database. The method used in solving the damage to the radio transmitter is the certainty factor method.
Application of with C4.5 algorithm to measure the level of student satisfaction with student services Sinaga, Bosker; Manurung, Jonson; Br Tarigan, Nera Mayana; Br Sitepu, Siska Feronika; Barus, Nadela
Sinkron : jurnal dan penelitian teknik informatika Vol. 6 No. 3 (2022): Article Research Volume 6 Number 3, July 2022
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v7i3.11774

Abstract

In measuring the level of student satisfaction with student services, it is better to use a method/algorithm to find out how much in certain criteria/services the level of student satisfaction and which services need to be improved. In providing student services, it has been going well, but the difficulty in measuring the level of student satisfaction with student services has not used an algorithm. Data mining as a data mining technique is very important to use in extracting data from measurements that have been carried out so far. Data mining in analyzing data uses several algorithms, one of which is the C4.5 algorithm. The research method is the survey research method, which is a survey research method. This is a research method conducted using surveys or collecting data through research respondents. The purpose of this study is how to apply data mining with the C4.5 algorithm in measuring the level of student satisfaction with student services. This study targets the measurement results of academic criteria/services, guidance and counseling services, interest and talent services, scholarship services and health services. The results of this study were to determine the role of the decision tree on measuring the level of student satisfaction with student services.
Implementation of Stock Goods Data Mining Using the Apriori Algorithm Sinaga, Bosker; Marpaung, Meman; Tarigan, Ita Roseni Br; Tania, Keke
Sinkron : jurnal dan penelitian teknik informatika Vol. 7 No. 3 (2023): Article Research Volume 7 Issue 3, July 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v8i3.12852

Abstract

Stock inventory in the pharmacy should be well recorded. This is to provide the best service to customers/buyers. Buyers who come with empty results or the drug they want to buy will not feel disappointed, especially if they have made several purchases. This research implements data mining of drug stock inventory, where in the research carried out there are many empty and excess inventory items, resulting in less than optimal service. The research method, namely the survey research method, is a research method that is carried out using surveys or data collection through research respondents. The algorithm used in analyzing the data is the Apriori algorithm. The results of this study are the results of association rules based on predetermined parameters, namely a minimum support of 25% and a minimum confidence of 60%. The rule that is formed is that if consumers buy amoxicillin, they will buy mefenamic acid with a support value of 37% and a confidence of 183%.
CLASSIFICATION OF STUDENT SCHOLARSHIP ACCURATE CLASSIFICATION USING THE K NEAREST NEIGHBOR ALGORITHM Sinaga, Bosker; Marpaung, Meman; Br Barus, Maya Theresia; Laia, Erlina
INFOKUM Vol. 10 No. 5 (2022): December, Computer and Communication
Publisher : Sean Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58471/infokum.v10i5.1217

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Providing the right student scholarships will produce graduates who are permanent and reliable. Scholarships are usually given in the form of financial assistance, both education money and even pocket money (living expenses). This research classifies the accuracy of awarding student scholarships, where in the research conducted the number of scholarship recipients was not on target, resulting in the scholarship recipients not being serious about attending lectures and even dropping out of studies. The research method, namely the survey research method, is a research method that is carried out using surveys or data collection through research respondents. The algorithm used in analyzing the data is the KNN algorithm. The purpose of this study was to apply data mining using the KNN algorithm to find out the classification results of the accuracy of awarding student scholarships. The results of this study make a classification of scholarships, namely 19 students are eligible to receive scholarships and 49 students are not eligible to receive scholarships.
Implementation of data mining predictions for student her-registration Bosker Sinaga; Meman Marpaung; Fretty Wandani Ginting; Puspita Sari
Jurnal Info Sains : Informatika dan Sains Vol. 14 No. 01 (2024): Informatika dan Sains , Edition March 2024
Publisher : SEAN Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Predictions of an event are carried out to see what will happen in the future, including predictions for students who will register. This is done so that the head of the study program or student affairs will immediately move to approach students who are predicted not to be likely to register. This research implements data mining predictions of student registration. There are often wrong predictions about who might not register. So that the student's approach to decision-making before the time of registration is not carried out by the study program or student affairs. Research Method, namely the survey research method, is a research method carried out using surveys or direct data collection from interested parties, namely the head of the study program. The algorithm used to analyze the data is the K-nearest neighbor algorithm. This research aims to apply data mining to predict student her-registration and to carry out analysis using data mining to predict student her-registration. The research results of applying data mining with the K-Nearest Neighbors algorithm can solve the problem of student enrollment prediction analysis. Of the 10 students who predicted their registration, 7 students would register and 3 students would not register.
Deteksi Tepi Citra Dengan Metode Laplacian of Gaussian Dan Metode Canny Sinaga, Bosker; Manurung, Jonson; Silalahi, Monalisa Hotmauli; Ramen, Sethu
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.401

Abstract

The research conducted is testing the accuracy of the level of similarity of the management of STMIK Pelita Nusantara. The facial images tested were 17 images and 136 tests in each method (Laplacian of Gaussian (LoG), Canny, and the combination of LoG + Canny). Tests were carried out using Matlab R2017b. From the test results, the researchers concluded that the accuracy of the highest level of similarity is the Laplacian of Gaussian method, namely images 12 and 17 with a percentage of 99.85%, then the Canny method, namely images 4 and 7 with a percentage of 99.53% and the lowest is the combination of the two methods. (LoG + Canny) namely images 6 and 13 with a percentage of 98.14%. And the highest average accuracy of the similarity window is the Laplacian of Gaussian method with a percentage of 49.91%, then the Canny method with a percentage of 38.19% and the lowest is the combination of the two methods (LoG + Canny) with a percentage of 37.81%.
Deteksi Tepi Citra Dengan Metode Laplacian of Gaussian Dan Metode Canny Sinaga, Bosker; Manurung, Jonson; Silalahi, Monalisa Hotmauli; Ramen, Sethu
J-SAKTI (Jurnal Sains Komputer dan Informatika) Vol 5, No 2 (2021): EDISI SEPTEMBER
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/j-sakti.v5i2.401

Abstract

The research conducted is testing the accuracy of the level of similarity of the management of STMIK Pelita Nusantara. The facial images tested were 17 images and 136 tests in each method (Laplacian of Gaussian (LoG), Canny, and the combination of LoG + Canny). Tests were carried out using Matlab R2017b. From the test results, the researchers concluded that the accuracy of the highest level of similarity is the Laplacian of Gaussian method, namely images 12 and 17 with a percentage of 99.85%, then the Canny method, namely images 4 and 7 with a percentage of 99.53% and the lowest is the combination of the two methods. (LoG + Canny) namely images 6 and 13 with a percentage of 98.14%. And the highest average accuracy of the similarity window is the Laplacian of Gaussian method with a percentage of 49.91%, then the Canny method with a percentage of 38.19% and the lowest is the combination of the two methods (LoG + Canny) with a percentage of 37.81%.
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.
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