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All Journal TEKNIK INFORMATIKA Jurnal Teknologi dan Sistem Komputer SINTECH (Science and Information Technology) Journal Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) IJID (International Journal on Informatics for Development) JISKa (Jurnal Informatika Sunan Kalijaga) Jurnal EK dan BI

Maria Ulfah Siregar

Universitas Islam Negeri Sunan Kalijaga

Author-ID : 2654615

Computer Science & IT Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Library & Information Science

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ANALISIS KESIAPAN PENGIMPLEMENTASIAN EDUROAM DI UIN SUNAN KALIJAGA Maria Ulfah Siregar; Alifah Amalia; Bambang Sugiantoro
JURNAL TEKNIK INFORMATIKA Vol 13, No 1 (2020): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

This research is based on the existence of Eduroam in academia world which offers the easiness on managing data through internet. Inevitably, UIN Sunan Kalijaga as one of big campus in terms of number of population of academicians and the usage of internet in its area, has not joined in a group of institutions that implemented Eduroam. Through this research we aim to give brainstorming to academicians of UIN Sunan Kalijaga of the existence of Eduroam, then we will conclude the feasibility of implementing Eduroam on UIN Sunan Kalijaga. As guidances for this research are two hypotheses that we built. Our research method is conducting survey and interview to two domestic institutions which implemented Eduroam. It is followed by distributing online internal questionnare in UIN Sunan Kalijaga to do the brainstorming and collecting data. These data then were analyzed statistically to get the descriptive statistic, correlation and proved the hypotheses. Based on our analysis, it is found that there is a strong relation between the knowledge of Eduroam and the intention to join Eduroam, and a strong relation between the frequency of the usage of internet and the intention to join Eduroam. Therefore, we claim that it is feasible to implement Eduroam on UIN Sunan Kalijaga, by first improving the quality and quantity of the internet connection facilities on UIN Sunan Kalijaga.

SISTEM INFERENSI FUZZY MAMDANI UNTUK PENGHITUNGAN BONUS KARYAWAN PT. ABC Sherly Andini; Maria Ulfah Siregar; Shofwatul Uyun; Nurochman Nurochman
JURNAL TEKNIK INFORMATIKA Vol 14, No 2 (2021): JURNAL TEKNIK INFORMATIKA
Publisher : Department of Informatics, Universitas Islam Negeri Syarif Hidayatullah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15408/jti.v14i2.14180

A bonus in a company is an appreciation of the company for its employees for their dedication to work. Giving the bonus is sometimes prone to subjektives, not relevant to work pertformance, and etc. This is also impelemented in PT. ABC, which rewards employees for their performance. The calculation of employee bonuses at PT. ABC still uses spreadsheet tool so that the results of calculating employee bonuses tend to be subjective and be human error in inputting complex formula. Therefore, to get the suitable employee bonus calculation results, PT. ABC requires a specific computer system for the employee bonus calculation. This research uses Fuzzy Inference System Mamdani method because Mamdani method is often used for fuzzy logic control problems and is accordance with the process of input of human information. In Mamdani method, there are four stages, namely the formation of fuzzy sets, application of implications function, composition of rules and defuzzyfication. Our Mamdani method was designed upon 27 rules which is likely adding complexity and temptation on human. Calculations on a system are tidier and more structureable rather than on spreadsheet tool. The system which is based on web could run almost everywhere as long as there is internet connection. The results of this study indicate that computer calculations result the same as manual calculations by hand. Functionality testing show that the system is functioning 100% and the system access test shows that 60% of respondents strongly agree and 40% of respondents agree with the ease of the system.

Prapemrosesan klasifikasi algoritme kNN menggunakan K-means dan matriks jarak untuk dataset hasil studi mahasiswa Sugriyono Sugriyono; Maria Ulfah Siregar
Jurnal Teknologi dan Sistem Komputer Volume 8, Issue 4, Year 2020 (October 2020)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.2020.13874

Keberadaan outlier pada dataset dapat menyebabkan rendahnya hasil akurasi pada proses klasifikasi. Outlier pada dataset dapat dihilangkan pada tahapan prapemrosesan algoritme klasifikasi. Clustering dapat digunakan sebagai metode pendeteksi outlier. Kajian ini bertujuan menerapkan K-means dan matriks jarak untuk mendeteksi outlier dan menghapusnya dari dataset yang sudah memiliki kelas label. Penelitian ini menggunakan dataset hasil studi mahasiswa berjumlah 6847 instance, dengan 18 atribut dan tiga kelas. Prapemrosesan menerapkan metode K-means untuk mendapatkan pusat klaster pada tiap class, matriks jarak digunakan untuk mengevaluasi jarak instance dengan pusat klaster. Outlier, kelas baru yang berbeda dengan kelas awal, yang ditemukan akan dihilangkan. Prapemrosesan ini meningkatkan hasil akurasi klasifikasi algoritme kNN. Data tanpa prapemrosesan menghasilkan akurasi sebesar 72,28 %, data hasil prapemrosesan menggunakan metode K-means dan Euclidean menghasilkan akurasi hasil klasifikasi sebesar 98,42 % (meningkat 26,14 %), sedangkan metode K-means dan Manhattan menghasilkan akurasi sebesar 97,76 % (meningkat 25,48 %).

Sistem rekomendasi peminatan peserta didik baru pada kurikulum K-13 menggunakan metode profile matching, simple additive weighting, dan kombinasi keduanya Muhammad Edi Iswanto; Maria Ulfah Siregar; Shofwatul 'Uyun; Muhammad Taufiq Nuruzzaman
Jurnal Teknologi dan Sistem Komputer Volume 9, Issue 2, Year 2021 (April 2021)
Publisher : Department of Computer Engineering, Engineering Faculty, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jtsiskom.2021.13902

Peminatan peserta didik dalam kurikulum 2013 dilakukan sebelum peserta didik memulai belajar di kelas X. Ketepatan dalam penentuannya diperlukan untuk memastikan peserta didik belajar sesuai dengan minat dan bakat yang dimiliki. Penelitian ini menerapkan tiga metode SPK, yaitu profile matching, SAW dan kombinasi keduanya, untuk memberikan rekomendasi peminatan siswa didik ini. Ketiga metode tersebut dikomparasikan menggunakan alternatif dan kriteria yang sama untuk mengetahui metode yang paling dominan. Hasil penelitian ini menunjukkan bahwa penerapan SPK dapat membantu kegiatan PPDB dengan akurasi 79,2 %. Dalam proses penentuan minat bagi peserta didik, metode kombinasi menjadi yang paling dominan dengan persentase sebesar 78 %. Penerapan SPK tidak hanya membantu proses peminatan menjadi lebih cepat, tetapi juga akurat. Hal ini dibuktikan dengan hanya terdapat 6 dari total 122 peserta didik yang memilih peminatan berdasarkan rekomendasi SPK mendapatkan nilai di bawah KKM.

INTELLIGENT SYSTEM FOR CLASSIFICATION OF STUDENT PERSONALITY WITH NAIVE BAYES ALGORITHM Dony Fahrudy; Izza Afkarina; Muhammad Fadli; Rinny Assasunnaja; Wildan Nadiyal Ahsan; Febri Eka Setyawan; Maria Ulfah Siregar
SINTECH (Science and Information Technology) Journal Vol. 5 No. 1 (2022): SINTECH Journal Edition April 2022
Publisher : Prahasta Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31598/sintechjournal.v5i1.969

Various kinds of problems arise from the changing personality behavior of students. Therefore, an intelligent system is needed to determine the personality type of students. This study applies an intelligent system with a classification method using the Naïve Bayes to determine the personality of the student based on Sanguine, Choleric, Melancholic, and Phlegmatic classes against Hippocrates-Galenus typology. The attributes used include gender, age, year of class, answers to test A, answers to test B, answers to test C, and answers to test D. System testing is carried out with a scheme for sharing training data and test data. The data used is questionnaire data based on the Hippocrates-Galenus typology which is filled out by 130 students. Then it is divided into training data to form a classification model of 117 data, and there are 13 pieces of data used as test data for accuracy testing. The proportion is 90:10 using 10-fold cross validation. The data held are then calculated using the nave Bayes algorithm. Based on the results, there were 12 students correctly predicted and 1 students did not predict correctly so that an accuracy of 92.31% was obtained with an error rate of 7.69%.

A Scanner and Parser for Z Specifications Maria Ulfah Siregar; John Derrick
IJID (International Journal on Informatics for Development) Vol. 7 No. 1 (2018): IJID June
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Coding either a scanner or a parser from beginning has many disadvantages such as tedious, could raise many errors, needs much times and effort, etc. All of these could result less scanner or parser. This paper describes our research on implementing a scanner and parsers for Z specifications. Rather to code them from scratch, we use tools that have specialities on creating such tasks. These tools generate several Java files which can be integrated with a main program in Java. Our research produces a scanner and parser for Z specifications. These tools may benefit Z specifications to be studied further.

An Implementation of Web-Based Payroll Information System in Universitas Proklamasi 45 Yogyakarta Maria Ulfah Siregar; Devara Eko Katon Mahardika
IJID (International Journal on Informatics for Development) Vol. 7 No. 2 (2018): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Universitas Proklamasi 45 Yogyakarta is a private university which is supervised by a Foundation that has implemented various information systems in various fields of work. However, in the payroll process of the employees are still done manually and have not utilized a computerized system, such as attendance recap, wage recapitulation that is additional salary to basic salary, and the sum of salary received by employees. This makes the payroll process less effective and efficient. This study aims to establish a proposed system that is a web-based information system of employee payroll in the Universitas Proklamasi 45 Yogyakarta with the PHP programming language using Codeigniter Framework and MySQL as its database. The system development method used is the Extreme Programming method. This method was chosen because it promotes intense communication between the client and the system developer so that when there are changes or errors in the system, the developer is always ready to fix it. Extreme Programming also has a simple stage, namely planning, design, coding, and testing. The results of this study are the result of a web-based employee payroll information system that has various actors involved in the management and processing of its data. With this information system, the employee payroll process becomes more effective and efficient, because payroll data is processed and calculated by the system so that it has a high level of data accuracy and does not require a long time in the calculation process.

Expert System for Diagnosis Skin Disease in Infants With Case-Based Reasoning Method Nisaa Ratna Marliana; Ahmad Subhan Yazid; Maria Ulfah Siregar
IJID (International Journal on Informatics for Development) Vol. 2 No. 2 (2013): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Skin is the most vital for children under five years of age (infants) who are susceptible to the disease. The absence of a dermatologist or expert who can diagnose skin disease and offers the solution results in a long process of healing or cause a fatal condition to the patient. Overcoming of it, it is built an expert system that aims to diagnose skin disease in infants and to provide prevention and treatment solutions. This expert system is constructed by using Case-Based Reasoning (CBR), which calculates the similarity to select the cases that are most relevant or appropriate. This study uses the PHP programming language and MySQL as the database server. This expert system makes it easy to diagnose the disease. It can adapt easily and quickly because the knowledge is constructed from cases. As well, It’s able to produce solutions for prevention and treatment based on symptoms experienced by the patient in accordance with the rules.

Recommendation System of Self-Medication for Mild Digestive Diseases with Dempster Shafer Method Sayekti Abriani; Khurin 'ien Mukhoyyaroh; Ahmad Subhan Yazid; Maria Ulfah Siregar
IJID (International Journal on Informatics for Development) Vol. 3 No. 1 (2014): IJID May
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Pain is a state of body discomfort. To cure diseases, people usually go to the doctor, but now if the disease is mild it can be treated with self-medication. Therefore, Self-medication (Swamedikasi) recommendation system needs to be built specially to lessen and solve the mild disease problem, in this case, is digestion. The recommendation generated using an expert system with Dempster Shafer method. The application’s output will display the possibility of mild disease in digestion system that suffered by user based on the existing symptoms. The application also shows the possibility of symptoms from the legible disease that suffered by the user. The trust value obtained by using the Dempster Shafer method.

Automatic of Correction and Program Evaluation Using Web-Based Systems Sunu Pinasthika Fajar; Muhammad Dzulfikar Fauzi; Maria Ulfah Siregar
IJID (International Journal on Informatics for Development) Vol. 2 No. 2 (2013): IJID December
Publisher : Faculty of Science and Technology, UIN Sunan Kalijaga Yogyakarta

Assistant or lecturer in a practicum on algorithmic learning courses it often takes a long time to correct a task collected by the practitioner. The number of tasks that must be corrected many will require a longer time. To simplify the work of the assistant or the lecturer developed a system that automatically corrects tasks that are collected by the practitioners with the black box testing method, so that the assistant only needs to publish the task and wait for the task to be corrected automatically and view or download the correction results. With the existence of this system, it is expected that the correction of tasks will be more fast, easy, and effective, and make students more able to get grades better because students are allowed to collect their assignments many times to be satisfied with the value.

Co-Authors Ahmad Hasan Arif Ahmad Subhan Yazid Alifah Amalia Annisa Dwi Oktavianita Bambang Sugiantoro Devara Eko Katon Mahardika Dony Fahrudy Fanny Novianto Fauzi, Muhammad Dzulfikar Febri Eka Setyawan Izza Afkarina John Derrick Khurin 'ien Mukhoyyaroh Mohammad Farhan Qudratullah Mr. Fitree Tahe Muhamad Fadli Muhammad Edi Iswanto Muhammad Taufiq Nuruzzaman Nisaa Ratna Marliana Nurochman Nurochman Rinny Assasunnaja Saiful Bahri Sayekti Abriani Sherly Andini Shofwatul Â‘Uyun Sugriyono Sugriyono Sumarsono Sumarsono Sunu Pinasthika Fajar Taufiq Effendy Wijatmoko Wildan Nadiyal Ahsan

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