Kesenjangan gender terjadi di berbagai negara di dunia seperti yang dijelaskan oleh World Economic Forum melalui Global Gap Gender Index (GGGI). Salah satu aspek GGGI adalah dari segi ekonomi yaitu participation and opportunity. Penelitian ini bertujuan untuk mengukur seberapa besar kesenjangan penghasilan yang terjadi menurut gender di Indonesia. Dengan menggunakan data Sakernas 2019 dan metode dekomposisi Blinder-Oaxaca diperoleh hasil bahwa kesenjangan penghasilan antara laki-laki dan perempuan di Indonesia sebesar 0,4282 poin persentase, yang artinya secara rata-rata penghasilan laki-laki lebih tinggi 42,82 persen dibandingkan dengan perempuan. Kontribusi faktor diskriminasi lebih dominan dibandingkan faktor endowment terhadap total kesenjangan yang terjadi. Faktor endowment seperti umur, jam kerja, pendidikan, jenis dan lapangan pekerjaan hanya berkontribusi sebesar 3,55 persen dari total kesenjangan yang terjadi, sementara kontribusi faktor diskriminasi sebesar 96,45 persen.

This study discusses the process of awarding the best cadres by utilizing a decision support system using the Weighted Product method and the criteria weighting method using the Rank Order Centroid to obtain the weighting of the criteria systematically with the case studies studied, namely the Leadership of the Commissariat of Muhammadiyah Students, Faculty of Computer Science, University of Muhammadiyah Riau. The procedure carried out in awarding the best cadres by using several alternative data samples and several criteria related to the assessment. The number of alternative data used to be tested in this study were 10 samples of alternative data and 5 assessment criteria. The criteria used are Activeness (K1), Level of Training (K2), Grade Point Average (K3), Leadership (K4), and Teamwork (K5). The results obtained after testing are A6 as the best alternative with the final value obtained of 0.3398 and declared as the best cadre. The Weighted Product method and assisted by the Rank Order Centroid weighting method are able to make decisions for awarding the best cadres to the Commissariat Leaders of the Muhammadiyah Student Association, Faculty of Computer Science, University of Muhammadiyah Riau.

Hematology oncology is a blood cancer that is quite worrying because it is identical to a condition that leads to death and this happens all over the world, where this disease not only affects adults but can also occur in children. Some experts suspect that the cause of blood cancer is due to changes in DNA that can trigger healthy blood cells to become cancerous. The World Health Organization (WHO) has stated that blood cancer is a very serious health problem because the number of sufferers increases by about 20% per year. This condition can certainly be prevented if patients who experience this disease can be detected early. To help overcome these problems, an Android-based system was developed that can diagnose blood cancer early based on the symptoms experienced by the patient, and this system was developed through a process of adopting expertise from experts into the form of a computer-based system known as the Expert System. . In order for the results of the diagnosis to have a high level of accuracy, an appropriate method is needed in its application, for that a method with a certainty factor algorithm is used. Based on the research results, in designing an expert system that adopts the Certainty Factor method, it can be used in solving problems related to the process of diagnosing hematological oncology diseases with an accurate level of certainty, this makes the diagnosis process easier and accuracy in determining oncological hematological diseases by utilizing the system.

In this study, the authors conducted research on the topic of decision support systems in determining the best teacher. The case study used is at SMK Negeri 1 Lima Puluh Batubara Regency, North Sumatra Province. In practice, the selection of the best teachers and achievers in these schools has not been carried out objectively or in other words, the selection of the best teachers is still carried out in a subjective way where the validation in its determination is not known for certain openness. So to overcome this problem, the authors propose to apply the calculation of the Decision Support System (DSS) in solving these problems. The method used in this study is the MOORA method and uses the criteria weighting method with Rank Order Centroid. The criteria used are five criteria consisting of Teaching Method (K1), Motivation and Innovation (K2), Responsibility (K3), Problem Solving (K4), and Insight and Creativity (K5). Then the alternative data samples used were as many as ten data from SMK Negeri 1 Lima Puluh. The test results obtained were Iswanto (A3) obtained the highest final preference value of 0.4182 and could be declared the best teacher with the first rank. Then it can be seen that the MOORA and Rank Order Centroid methods are able to provide recommendations for the best teacher decisions at SMK Negeri 1 Lima Puluh using objective calculations.

Riset ini bertujuan untuk menguji dan menerapkan metode MOORA dalam pengambilan keputusan untuk penentuan perangkingan dari data konsentrasi tingkat kesuburan sperma dan kemudian menggunakan metode pembobotan kriteria berdasarkan iperhitungan metode Rank Order Centroid agar bobot kriteria diperoleh secara sistematis dan obyektif sehingga tidak lagi ditentukan secara subjektif dari asumsi pengambil keputusan. Data pengujian yang digunakan bersumber dari UCI iMachine iLearning iRepository yaitu Fertility Dataset yang merupakan data tingkat konsentrasi kesuburan sperma yang memiliki 100 record data, 9 kriteria, dan 1 variable kelas serta data set tersebut berjenis multivariate. Hasil dari pengujian metode MOORA pada penelitian ini menunjukkan bahwa dengan menerapkan metode MOORA dan Rank Order Centroid mampu dalam melakukan perangkingan terhadap data konsentrasi tingkat kesuburan sperma yang menghasilkan A19 sebagai ialternatif iterbaik dengan nilai preferensi tertinggi, sedangkaniA44 isebagai alternatif peringkat terakhiridengan nilai preferensi paling terendah. Kemudian dari isegi iwaktu eksekusi program, metode MOORA membutuhkan waktu eksekusi selama 0.019 detik.