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All Journal Ethos Jurnal EMT KITA at-tamkin: Jurnal Pengabdian kepada Masyarakat Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Jurnal Pengabdian Nasional (JPN) Indonesia Jurnal Indonesia : Manajemen Informatika dan Komunikasi Jurnal Pengabdian Masyarakat Nusantara International Journal of Management Science and Information Technology (IJMSIT)
Munawir Munawir
AMIK Indonesia
Religion Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Social Sciences Other

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Journal : Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi)

 1 
Decision Support System Pemilihan Karyawan Berprestasi Dengan Pendekatan Analisa Gap Profile matching Di Kantor Perwakilan Bank Indonesia Provinsi Aceh Munawir Munawir; Ardiansyah Ardiansyah
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 1 No 1 (2017): JANUARY-DECEMBER 2017
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v1i1.28

Abstract

One method of decision support system is the method of profile matching, this study builds a decision support system in the selection of outstanding employees at the Bank Indonesia Regional Office of Aceh Province which is expected to assist decision makers in deciding the best alternatives in the selection of outstanding employees. By using profile matching that can process and compare the actual data value of a profile to be assessed with the expected profile value, so it can know the difference of competence (also called gap), the smaller the resulting gap the greater the value of value which means have the opportunity greater to be recommended as an outstanding employee. Decision Support System (DSS) can take into account all the criteria that support decision-making to help speed up and simplify the decision-making process. The results of this study will generate a ranking ranking of employees and this application can assist decision makers (decission maker) in choosing an alternative employee who excel.
Analisis Penilaian Kinerja Terhadap Rasionalitas Dosen pada 114 Perguruan Tinggi Swasta (PTS) Wilayah Kopertis XIII Provinsi Aceh dengan Metode Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) Munawir Munawir
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 2 No 1 (2018): JANUARY-DECEMBER 2018
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v2i1.45

Abstract

This research aims to make a sort 104 University in Region XIII Kopertis Aceh Province with the method Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) against the ratio of lecturers and students. TOPSIS is one method that can be used to solve the problem of Fuzzy MADM. This research takes into account all thecriteria that support decision making in order to help speed up and facilitate the decision-making process and do a minimal quantity of perangkingan especially the lecturer at a college. Based on research results, calculation of TOPSIS begins with forming a decision matrix is normalized, then continued with a decision matrix weighting normalization. The step is done to determine the ideal solution matrix of positive and negative solution is ideal. The last stages of the method is to calculate the value of the preference of each alternative (Vi) in order to get the final results, the most high value Vi shows the best alternative. Based on the end result then sorted 25 Colleges(PTS) is Locality Kopertis XIII Aceh at its best.
Prediksi Kelulusan Mahasiswa menggunakan Algoritma Naive Bayes (Studi Kasus 5 PTS di Banda Aceh) Munawir Munawir; Taufiq Iqbal
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 3 No 2 (2019): JULY-DECEMBER 2019
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v3i2.77

Abstract

The e-questionnaire application that researchers built using CodeIgniter and React-Js This study aims to data mining by using rapidminer tools to collect student data from the Feeder application page from the class of 2010-2014 which is assumed that the student class has been declared graduated in 2018. The data was collected from 5 (five) Private Universities in the City Banda Aceh. then by observing the graduation level using data mining can bring a considerable contribution to educational institutions, in an effort to improve curriculum competency in Higher Education, it is expected that the results of data mining can make reference to curriculum standards as a form of graduate competency improvement. The research method uses the Cross-Industry Standard Process for Data Mining (CRISP-DM) which is used as a standard data mining process as well as a research method with stages starting from Business understanding, data understanding, data preparation, modeling, evaluation, and deployment. The results showed that the data mining algorithm for graduation prediction based on the selected pass accuracy attribute revealed that the prediction level was uniform with the algorithm used, Naïve Bayes, prediction accuracy was 84%. The data attributes that were found to have significantly influenced the classification process were the GPA and Study Length. The results obtained that students who graduated by 60% are students who are educated in ASM Nusantara and AMIK Indonesia, while in Banda Aceh STIES and Serambi University Mecca the prediction of graduation is 52%. Another thing is different from STIA Iskandar Thani where the prediction of graduating is only 48% and not passing on time is 52%. The results of this prediction can reveal and become a recommendation for prospective students or academics to increase the quantity of graduates and increase student confidence in tertiary institutions.
Aplikasi Decision Support System (DSS) dengan Metode Fuzzy Multiple Attribute Decission Making (FMADM) Studi Kasus : AMIK Indonesia Dan STMIK Indonesia Mukhtar Mukhtar; Munawir Munawir
Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi) Vol 2 No 1 (2018): JANUARY-DECEMBER 2018
Publisher : KITA Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jtik.v2i1.54

Abstract

Educational institutions such as AMIK Indonesia and STMIK Indonesia often require a form of the decision in determining academic judgment on the elements of tri dharma; teaching, research, community service and supporting elements that are appropriate for academics so that good quality education is achieved in accordance with the assessment. A decision is a matter that is very influential in the process of facing the chosen alternative, so also choosing the academic quality that has an impact on the focus of accreditation of higher education institutions. The model used in this decision support system is Fuzzy Mutual Attribute Decision Making (FMADM) and the method used is Simple Additive Weighting (SAW), which is looking for weighted sums of performance ratings on each alternative on all attributes. The purpose of this study is to design a system of academic judgment decision support with Fuzzy Mutual Attribute Decision Making (FMADM) systems with Simple Additive Weighting (SAW) Method, to obtain more accurate results in an academic assessment of AMIK Indonesia and STMIK Indonesian tri dharma elements so that they can improve the quality of universities. Broadly speaking, this study uses data collection methods through literature studies, interviews and direct observation to AMIK Indonesia and STMIK Indonesia Banda Aceh. While the research design uses experimental because it produces a product that is a decision support system. The method used to support this research is the FMADM method using the SAW method calculation. Supporting applications that will be created with the author using web-based programming languages such as; HTML, CSS, Jquery, JSON and MySQL databases with Windows operating systems. On running analysis and system design that will be created the author is described by Microsoft Visio 2016. The method used to evaluate the system is the black box method where the black box testing focuses on system functions.
Co-Authors Abdus Salam Ardiansyah Ardiansyah Aris Sudaryanto Erfa Okta Lussianda Fauzan Putraga Al-Bahri Hamdani Hamdani Ismail Ismail Josi Farmiati Luth Fimawahib Muhammad Jamil Muhammad Wali Mukhtar Mukhtar Rahmi Hajriyanti Sulistyawati, Upik Sri Syamsul Rizal Syamsul Rizal Syamsul Rizal Syarifuddin Syarifuddin Taufiq Iqbal Taufiq Iqbal Urfi Utami