Journal Innovations Computer Science
Journal Innovations Computer Science (JICS) is a peer-reviewed, twice-annually published international journal that focuses on innovative, original, previously unpublished, experimental or theoretical research concepts. Journal Innovations Computer Science (JICS) covers all areas of computer & information science, applications & systems engineering in computer & information science. JICS core vision is to be an innovation platform in information technology and computer science. Articles of interdisciplinary nature are particularly welcome. All published article URLs will have a digital object identifier (DOI).
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<![CDATA[Sistem Informasi Pemilihan Karyawan Terbaik Menggunakan Metode Simple Additive Weighting (SAW) pada Balai Pendidikan dan Pelatihan Ilmu Pelayaran BP2IP Malahayati ]]>
<![CDATA[ Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Yayasan Kawanad ]]>
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DOI: 10.56347/jics.v1i2.63
<![CDATA[The purpose of this research is to assist the Balai Pendidikan dan Pelatihan Ilmu Pelayaran (BP2IP) Malahayati to process data on the selection of the best employees to computerize the current system so that it can analyze and assist database processing activities at an even better level of effectiveness and efficiency, so that it is expected to be able to ; designing the best web-based Employee Decision Making System (DSS) Application program, the best Employee Decision Making System (DSS) system made in the form of a questionnaire with several alternatives and criteria as basic ingredients in data processing using the Simple Additive Weighting (SAW) Method, and generate reports - more detailed ranking reports, criteria, alternatives, and employees of each required data. Based on the results of the research and decision-making system using the Simple Additive Weighting (SAW) method as the selection of the best employees at the Balai Pendidikan dan Pelatihan Ilmu Pelayaran (BP2IP) Malahayati which has been carried out by the author, several conclusions can be drawn, namely; This research succeeded in creating a decision support system for evaluating the best employee selection at the Balai Pendidikan dan Pelatihan Ilmu Pelayaran (BP2IP) Malahayati, and this research succeeded in conducting alternative rankings from the results of calculating the weight of employee scores using SAW (Simple Additive Weighting).]]>
<![CDATA[Sistem Informasi Pelayanan Izin Penelitian pada Badan Kesbangpol Aceh ]]>
<![CDATA[ Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Yayasan Kawanad ]]>
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DOI: 10.56347/jics.v1i2.64
<![CDATA[The purpose of this research is to assist the Aceh Kesbangpol in the research licensing service process to computerize the current system so that it can analyze and assist database processing activities at an even better level of effectiveness and efficiency, so that it is expected to be able to; designing and building a web-based research permit service information system at the Aceh Kesbangpol Agency, implementing a web-based research permit service information system with an integrated SMS Gateway, and producing more effective and efficient research permit service reports. The method used in this design is the waterfall method. Based on the results of research on the research permit service information system at the Aceh Kesbangpol Agency based on the web-based integrated SMS Gateway that has been carried out by the author, several conclusions can be drawn, namely; This research was successful in creating a web-based integrated information system research permission service with SMS Gateway. SMS Gateways.]]>
<![CDATA[Aplikasi Pemilihan Karyawan Terbaik pada PT. Ql Trimitra dengan Metode Analytical Hierarchy Process (AHP) ]]>
<![CDATA[ Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Yayasan Kawanad ]]>
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DOI: 10.56347/jics.v1i2.71
<![CDATA[The research objectives are to design a web-based application that can help make the best employee selection report process easy and fast, design an application that can calculate normalization to determine criteria and weights according to the analytical hierarchy process (AHP) method, and design an application that can manage data -Alternative data needed for the selection of the best employees. The stages of data collection in this study consisted of 3 (three) stages namely; observation, interview, and literature study. UML (Unified Modeling Language) is used as an approach for modeling while the Analytical Hierarchy Process (AHP) method is applied in the best employee assessment application. The results of this study can facilitate the selection of the best employees to be faster with accurate results by using the best employee selection application by implementing the Analytical Hierarchy Process (AHP) method using the PHP and MySQL programming languages.]]>
<![CDATA[Optimasi Support Vector Mechine (SVM) Menggunakan K-Means dan K-Medoids untuk Klasterisasi Tema Tugas Akhir ]]>
<![CDATA[ Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Yayasan Kawanad ]]>
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DOI: 10.56347/jics.v1i2.72
<![CDATA[The large amount of final project document data from study programs at the Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Abulyatama can make a major contribution to the difficulty of the process of grouping a student's final project theme. The clustering process that has been carried out manually so far has been very ineffective and inefficient, so a data mining application is needed to manage the data, especially for clustering the data. The goal to be achieved from writing this thesis is to implement the Support Vector Machine with K-Means and K-Medoids to optimize the final assignment clustering. the results of the Optimization Support Vector Machine (SVM) analysis using K-Means and K-Medoids for Grouping Student Final Project Themes can be concluded in a number of ways, namely; with the K-Means Clustering method it can be seen that there are 23 data mining, 10 networks, 26 artificial intelligence, and 21 websites, and website 11 items.]]>
<![CDATA[Sistem Penunjang Keputusan Penerimaan Karyawan Baru di PT. Yudita Teratai Cakti Menggunakan Metode Profile Matching ]]>
<![CDATA[ Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Yayasan Kawanad ]]>
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DOI: 10.56347/jics.v1i2.73
<![CDATA[PT. Yudita Teratai Cakti is a company that carries out the hiring process independently or does not use the services of an outsourcing company. In the process of hiring employees, usually PT. Yudita Teratai Cakti uses advertising services in print media such as newspapers and online media such as Facebook and others. In the employee recruitment process at PT. Yudita Teratai Cakti is carried out by the personnel department by selecting and selecting one by one the data of applicants who enter the selection process for prospective employees at the acceptance of new employees at PT. Yudita Teratai Cakti, with the need to apply for a job this system was built, namely carrying out a selection process for prospective employees who applied for work at PT Yudita Teratai Cakti, it is hoped that this system can carry out the selection process using the profile matching calculation method used in this study to be able to provide decision-making information New Employee Recruitment. In order for the implementation of the selection of new employees to meet the demands and expectations of the company, a correlation is needed between the preparation of the test questions and the determined test criteria so that the test results for each new employee show the potential value of each new employee on each of the specified criteria. The decision support system with the profile matching method can assist the role of management or managers in supporting PT. Yudita Teratai Cakti which has objective value with a more effective time.]]>
<![CDATA[Sistem Informasi Pemilihan Karyawan Terbaik Menggunakan Metode Simple Additive Weighting (SAW) pada Balai Pendidikan dan Pelatihan Ilmu Pelayaran BP2IP Malahayati ]]>
<![CDATA[Rahmatillah, Syaukas]]>;
<![CDATA[Fadhli, M]]>
<![CDATA[ Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Yayasan Kawanad ]]>
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DOI: 10.56347/jics.v1i2.63
<![CDATA[The purpose of this research is to assist the Balai Pendidikan dan Pelatihan Ilmu Pelayaran (BP2IP) Malahayati to process data on the selection of the best employees to computerize the current system so that it can analyze and assist database processing activities at an even better level of effectiveness and efficiency, so that it is expected to be able to ; designing the best web-based Employee Decision Making System (DSS) Application program, the best Employee Decision Making System (DSS) system made in the form of a questionnaire with several alternatives and criteria as basic ingredients in data processing using the Simple Additive Weighting (SAW) Method, and generate reports - more detailed ranking reports, criteria, alternatives, and employees of each required data. Based on the results of the research and decision-making system using the Simple Additive Weighting (SAW) method as the selection of the best employees at the Balai Pendidikan dan Pelatihan Ilmu Pelayaran (BP2IP) Malahayati which has been carried out by the author, several conclusions can be drawn, namely; This research succeeded in creating a decision support system for evaluating the best employee selection at the Balai Pendidikan dan Pelatihan Ilmu Pelayaran (BP2IP) Malahayati, and this research succeeded in conducting alternative rankings from the results of calculating the weight of employee scores using SAW (Simple Additive Weighting).]]>
<![CDATA[Sistem Informasi Pelayanan Izin Penelitian pada Badan Kesbangpol Aceh ]]>
<![CDATA[Ramadhan, Rudi Singkia]]>;
<![CDATA[Elvitriana]]>
<![CDATA[ Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Yayasan Kawanad ]]>
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DOI: 10.56347/jics.v1i2.64
<![CDATA[The purpose of this research is to assist the Aceh Kesbangpol in the research licensing service process to computerize the current system so that it can analyze and assist database processing activities at an even better level of effectiveness and efficiency, so that it is expected to be able to; designing and building a web-based research permit service information system at the Aceh Kesbangpol Agency, implementing a web-based research permit service information system with an integrated SMS Gateway, and producing more effective and efficient research permit service reports. The method used in this design is the waterfall method. Based on the results of research on the research permit service information system at the Aceh Kesbangpol Agency based on the web-based integrated SMS Gateway that has been carried out by the author, several conclusions can be drawn, namely; This research was successful in creating a web-based integrated information system research permission service with SMS Gateway. SMS Gateways.]]>
<![CDATA[Aplikasi Pemilihan Karyawan Terbaik pada PT. Ql Trimitra dengan Metode Analytical Hierarchy Process (AHP) ]]>
<![CDATA[Hernawan]]>;
<![CDATA[Faizah, NM]]>;
<![CDATA[Karo, Panser Karo]]>
<![CDATA[ Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Yayasan Kawanad ]]>
Show Abstract
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DOI: 10.56347/jics.v1i2.71
<![CDATA[The research objectives are to design a web-based application that can help make the best employee selection report process easy and fast, design an application that can calculate normalization to determine criteria and weights according to the analytical hierarchy process (AHP) method, and design an application that can manage data -Alternative data needed for the selection of the best employees. The stages of data collection in this study consisted of 3 (three) stages namely; observation, interview, and literature study. UML (Unified Modeling Language) is used as an approach for modeling while the Analytical Hierarchy Process (AHP) method is applied in the best employee assessment application. The results of this study can facilitate the selection of the best employees to be faster with accurate results by using the best employee selection application by implementing the Analytical Hierarchy Process (AHP) method using the PHP and MySQL programming languages.]]>
<![CDATA[Optimasi Support Vector Mechine (SVM) Menggunakan K-Means dan K-Medoids untuk Klasterisasi Tema Tugas Akhir ]]>
<![CDATA[Patria, Gaffy]]>
<![CDATA[ Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Yayasan Kawanad ]]>
Show Abstract
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DOI: 10.56347/jics.v1i2.72
<![CDATA[The large amount of final project document data from study programs at the Sekolah Tinggi Manajemen Informatika dan Komputer (STMIK) Abulyatama can make a major contribution to the difficulty of the process of grouping a student's final project theme. The clustering process that has been carried out manually so far has been very ineffective and inefficient, so a data mining application is needed to manage the data, especially for clustering the data. The goal to be achieved from writing this thesis is to implement the Support Vector Machine with K-Means and K-Medoids to optimize the final assignment clustering. the results of the Optimization Support Vector Machine (SVM) analysis using K-Means and K-Medoids for Grouping Student Final Project Themes can be concluded in a number of ways, namely; with the K-Means Clustering method it can be seen that there are 23 data mining, 10 networks, 26 artificial intelligence, and 21 websites, and website 11 items.]]>
<![CDATA[Sistem Penunjang Keputusan Penerimaan Karyawan Baru di PT. Yudita Teratai Cakti Menggunakan Metode Profile Matching ]]>
<![CDATA[Lau, Herminus]]>;
<![CDATA[Faizah, NM]]>;
<![CDATA[Ginting, Winton]]>
<![CDATA[ Journal Innovations Computer Science Vol. 1 No. 2 (2022): November 2022 ]]>
Publisher : <![CDATA[Yayasan Kawanad ]]>
Show Abstract
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DOI: 10.56347/jics.v1i2.73
<![CDATA[PT. Yudita Teratai Cakti is a company that carries out the hiring process independently or does not use the services of an outsourcing company. In the process of hiring employees, usually PT. Yudita Teratai Cakti uses advertising services in print media such as newspapers and online media such as Facebook and others. In the employee recruitment process at PT. Yudita Teratai Cakti is carried out by the personnel department by selecting and selecting one by one the data of applicants who enter the selection process for prospective employees at the acceptance of new employees at PT. Yudita Teratai Cakti, with the need to apply for a job this system was built, namely carrying out a selection process for prospective employees who applied for work at PT Yudita Teratai Cakti, it is hoped that this system can carry out the selection process using the profile matching calculation method used in this study to be able to provide decision-making information New Employee Recruitment. In order for the implementation of the selection of new employees to meet the demands and expectations of the company, a correlation is needed between the preparation of the test questions and the determined test criteria so that the test results for each new employee show the potential value of each new employee on each of the specified criteria. The decision support system with the profile matching method can assist the role of management or managers in supporting PT. Yudita Teratai Cakti which has objective value with a more effective time.]]>
