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Journal : SINTECH (Science and Information Technology) Journal

RANCANG BANGUN SISTEM PENGADUAN LAYANAN AKADEMIK STMIK STIKOM INDONESIA suryawan, I Gede Totok; Handika, I Putu Susila
SINTECH (Science and Information Technology) Journal Vol 1 No 2 (2018): SINTECH Journal Edition Oktober 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1206.343 KB) | DOI: 10.31598/sintechjournal.v1i2.279

Abstract

This paper discusses the design of academic service complaints system in STMIK STIKOM Indonesia. Currently, the evaluation of academic services at STMIK STIKOM Indonesia has been done periodically in the form of distributing questionnaires to the students before taking the final exam of Semester (UAS) in each semester. This evaluation is quite effective but this periodic evaluation can not yet accommodate the academic service complaints that occur in the everyday incident. In this paper has developed a system of web-based academic service complaints that can be accessed at any time by the academic community to provide feedback related to academic services at STMIK STIKOM Indonesia. In general, the system is capable of managing user data such as students, lecturers, institutions, and administrators. The system is able to make a complaint file to be sent to service provider units within the academic community, and the files sent will be accessed through the "outbreak" menu whereas in the complaint recipient account it can be accessed in the "incoming complaint" menu. To maintain the security of the complaints process on the system also facilitates the user to encrypt and decrypt the complaint file. Based on the tests that have been done the system developed able to facilitate students and academic community in general to conduct complaints of academic services and teaching and learning facilities at STMIK STIKOM Indonesia. Security of complaint data can be maintained well with the existence of encryption facilities and description and distribution of keys made directly to each user. From the test conducted by testing the functions expected in the system, obtained the results that the system is able to run in accordance with the expected.
SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KARYAWAN DENGAN METODE AHP TOPSIS (Studi Kasus: PT. Global Retailindo Pratama) Santika, Putu Praba; Handika, I Putu Susila
SINTECH (Science and Information Technology) Journal Vol 2 No 1 (2019): SINTECH Journal Edisi April 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (478.62 KB) | DOI: 10.31598/sintechjournal.v2i1.321

Abstract

To get good employees, a good selection process is needed. From the results of the interview, PT. Global Retailindo Pratama uses four criteria for the selection of new employees, education, intelligence, experience, and interviews. All prospective employees must take an exam to measure the criteria of education and intelligence and also have to send a photocopy of proof of their experience. The first stage selection is done to determine the prospective applicants who will take part in the interview. The second stage is conducted to determine the prospective employees who are accepted. The process of assessment and selection is still done by humans, so it takes a lot of time and energy. This problem can be solved by providing an information system for submitting applications and conducting examinations online. All documents are sent in digital form, also automaticlly checking answers from prospective employees. To select prospective employees, a method is needed that can recommend potential prospective employees based on specified criteria. The TOPSIS method is a decision support method that can provide recommendations in accordance with the criteria. The disadvantage of the TOPSIS method is that it requires weighting in the ranking process. The Analytical Hierarchy Process (AHP) method can be used to determine the criteria weight. Combining AHP and TOPSIS methods can produce more objective ranking results. Combining the AHP and TOPSIS methods can produce better recommendations.
RANCANG BANGUN SISTEM PENGADUAN LAYANAN AKADEMIK STMIK STIKOM INDONESIA I Gede Totok suryawan; I Putu Susila Handika
SINTECH (Science and Information Technology) Journal Vol. 1 No. 2 (2018): SINTECH Journal Edition Okctober 2018
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v1i2.279

Abstract

This paper discusses the design of academic service complaints system in STMIK STIKOM Indonesia. Currently, the evaluation of academic services at STMIK STIKOM Indonesia has been done periodically in the form of distributing questionnaires to the students before taking the final exam of Semester (UAS) in each semester. This evaluation is quite effective but this periodic evaluation can not yet accommodate the academic service complaints that occur in the everyday incident. In this paper has developed a system of web-based academic service complaints that can be accessed at any time by the academic community to provide feedback related to academic services at STMIK STIKOM Indonesia. In general, the system is capable of managing user data such as students, lecturers, institutions, and administrators. The system is able to make a complaint file to be sent to service provider units within the academic community, and the files sent will be accessed through the "outbreak" menu whereas in the complaint recipient account it can be accessed in the "incoming complaint" menu. To maintain the security of the complaints process on the system also facilitates the user to encrypt and decrypt the complaint file. Based on the tests that have been done the system developed able to facilitate students and academic community in general to conduct complaints of academic services and teaching and learning facilities at STMIK STIKOM Indonesia. Security of complaint data can be maintained well with the existence of encryption facilities and description and distribution of keys made directly to each user. From the test conducted by testing the functions expected in the system, obtained the results that the system is able to run in accordance with the expected.
SISTEM PENDUKUNG KEPUTUSAN PENERIMAAN KARYAWAN DENGAN METODE AHP TOPSIS (Studi Kasus: PT. Global Retailindo Pratama) Putu Praba Santika; I Putu Susila Handika
SINTECH (Science and Information Technology) Journal Vol. 2 No. 1 (2019): SINTECH Journal Edition April 2019
Publisher : LPPM STMIK STIKOM Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v2i1.321

Abstract

To get good employees, a good selection process is needed. From the results of the interview, PT. Global Retailindo Pratama uses four criteria for the selection of new employees, education, intelligence, experience, and interviews. All prospective employees must take an exam to measure the criteria of education and intelligence and also have to send a photocopy of proof of their experience. The first stage selection is done to determine the prospective applicants who will take part in the interview. The second stage is conducted to determine the prospective employees who are accepted. The process of assessment and selection is still done by humans, so it takes a lot of time and energy. This problem can be solved by providing an information system for submitting applications and conducting examinations online. All documents are sent in digital form, also automaticlly checking answers from prospective employees. To select prospective employees, a method is needed that can recommend potential prospective employees based on specified criteria. The TOPSIS method is a decision support method that can provide recommendations in accordance with the criteria. The disadvantage of the TOPSIS method is that it requires weighting in the ranking process. The Analytical Hierarchy Process (AHP) method can be used to determine the criteria weight. Combining AHP and TOPSIS methods can produce more objective ranking results. Combining the AHP and TOPSIS methods can produce better recommendations.