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ANALISIS BUTIR TES OBJEKTIF UJIAN AKHIR SEMESTER MAHASISWA UNIVERSITAS TERBUKA BERDASARKAN TEORI TES MODERN Ratnaningsih, Dewi Juliah; Isfarudi, Isfarudi
Jurnal Pendidikan Terbuka Dan Jarak Jauh Vol 14 No 2 (2013)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar

Universitas Terbuka has been applying a test of final examination for measuring student learning outcomes. Type of final examination that developed is objective test consisting of stem and option. Option of test covering answer key and detractors. A good question should have detractors relatively homogenous, so that it is difficult to guessed by a student. Criteria of good question can be determined by item analysis with using classical test theory and modern test theory. Universitas Terbuka has been doing item analysis based on classical test theory. This theory has the limitations characteristic of the index items were highly dependent on the group of test. Unlike the case with modern test theory (item response theory). Item response theory is based on the ability of individual test. The purpose of this paper is to determine: (1) how the result of the final exam item analysis using item response analysis, (2) how the comparison of the number of valid and invalid between item response analysis and classical test analysis, and (3) how to determine item characteristics of the items and estimate the ability of participants to the test item response using Rasch models. The data used are student answers that took exams on subjects selected sample in 2009.1 and 2009.2. The total sample used by 8 subjects consisting of 16 sets of questions. The study results showed: (1) average difficulty level of the sample items was subject to item response items (Rasch Model) is between 0.618 to 1.417, (2)comparison of the results of the analysis of test items using classical analysis and the Rasch model analysis is very significant, and (3)on the number of examinees who many (over 1,500 people), the number or percentage of items was valid by using item response analysis more than the classical analysis.   Universitas Terbuka menerapkan tes berupa Ujian Akhir Semester untuk mengukur hasil belajar mahasiswa. Tipe soal UAS yang dikembangkan berbentuk tes objektif yang meliputi pernyataan (stem) dan alternatif jawaban (option). Option suatu tes meliputi kunci jawaban dan bukan kunci jawaban (pengecoh). Soal yang baik harus memiliki pengecoh yang relatif homogen, sehingga sulit ditebak oleh mahasiswa. Kriteria soal yang baik dapat diketahui dengan melakukan analisis butir soal baik menggunakan teori tes klasik maupun teori tes modern. Universitas Terbuka melakukan analisis butir soal UAS berdasarkan teori tes klasik. Teori ini memiliki keterbatasan yakni indeks karakteristik butir soal sangat bergantung pada kelompok peserta tes. Pada teori tes modern (teori respon butir), analisis butir soal didasarkan pada kemampuan individu peserta tes bukan berdasarkan kemampuan kelompok peserta tes. Tujuan penulisan artikel ini adalah untuk menentukan: (1) bagaimana hasil analisis butir soal UAS menggunakan teori respon butir, (2) bagaimana perbandingan jumlah soal valid dan tidak valid antara analisis respon butir dengan analisis tes klasik, dan (3) bagaimana menentukan karakteristik soal dan estimasi kemampuan peserta tes dengan analisis respon butir menggunakan model Rasch. Data yang digunakan adalah jawaban mahasiswa yang mengikuti ujian pada 8 mata kuliah sampel terpilih masa ujian 2009.1 dan 2009.2 yang terdiri atas 16 set soal. Hasil penelitian menunjukkan, rata-rata tingkat kesukaran soal mata kuliah sampel dengan teori respon butir (model Rasch) berkisar antara 0,618 sampai dengan 1,417. Perbandingan hasil analisis butir soal model klasik dengan model Rasch sangat signifikan. Pada jumlah peserta ujian yang banyak (lebih dari 1.500 orang), jumlah atau persentase butir soal yang valid dengan menggunakan item respon butir lebih banyak dibanding dengan analisis klasik.

ANALISIS BUTIR SOAL PILIHAN GANDA UJIAN AKHIR SEMESTER MAHASISWA DI UNIVERSITAS TERBUKA DENGAN PENDEKATAN TEORI TES KLASIK Ratnaningsih, Dewi Juliah; Isfarudi, Isfarudi; Soleiman, Nuraini
Jurnal Pendidikan Terbuka Dan Jarak Jauh Vol 12 No 2 (2011)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar

Multiple choice tests have been used to measure students learning achievement for most of the courses at Universitas Terbuka (UT). To ensure the quality of the tests, test item analysis based on classical test theory has been employed regularly. This paper aims to analyze multiple-choice items of the End Semester Examination of UT using the program ITEMAN. The data used were the answers sheets of students taking eight courses in the first and second semester of 2009. Courses analyzed in this study were MKDU4111, PEMA4210, MKDU4109, ISIP4215, EKMA4214, ESPA4112, BIOL4110, and BIOL4119. The results showed that the test items used have had a pretty good quality. Average test item difficulties were fair. This was indicated by the mean value of P which ranged from 0.328 to 0.461. Discrimination index for both semester tests were good in about 75% of the courses measured. Its value ranges from 0.304 to 0.451 for the first semester of 2009 tests and 0.343 to 0.382 for the second semester of 2009 tests. Meanwhile, the reliability of the test items could be considered good except for the courses PEMA4210 (first semester 2009) and MKDU4111 (second semester 2009).

PEMODELAN DAYA TAHAN BELAJAR MAHASISWA PENDIDIKAN TINGGI JARAK JAUH DENGAN PENDEKATAN REGRESI LOGISTIK BINER (STUDI KASUS: MAHASISWA FAKULTAS EKONOMI JURUSAN MANAJEMEN) Ratnaningsih, Dewi Juliah
Jurnal Matematika Sains dan Teknologi Vol 12 No 2 (2011)
Publisher : LPPM Universitas Terbuka

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Students’ persistence is the ability of students to survive in carrying out the study. In Universitas Terbuka (UT), there are no real dropped out student, but there are considered as non-active or non persistence students. Length of study time among UT’s students can be divided into binary data categories, which are valued as persistence (1) and non persistence (0). Logistic regression analysis is one type of statistical data analysis to be used for binary data. The purposes of writing this article are to identify the factors which influence the length of study time among students of the Department of Management, Faculty of Economics in UT, and to determine appropriate model in order to explain the relationship between the response variables (length of study time) with explanatory variables using logistic regression. The method used in this research is a case study with a number of samples as 2,936 college students. The result of the study shows that the factors influence the length of study time with alpha levels 0.05 are: age, the number of the courses taken, the employment status of the student, the participation in tutorials, the first semester achievement index, and the cumulative grade point.

PEMODELAN DAYA TAHAN BELAJAR MAHASISWA PENDIDIKAN TINGGI JARAK JAUH DENGAN PENDEKATAN REGRESI LOGISTIK BINER (STUDI KASUS: MAHASISWA FAKULTAS EKONOMI JURUSAN MANAJEMEN) Dewi Juliah Ratnaningsih
Jurnal Matematika Sains dan Teknologi Vol. 12 No. 2 (2011)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v12i2.512.2011

Students’ persistence is the ability of students to survive in carrying out the study. In Universitas Terbuka (UT), there are no real dropped out student, but there are considered as non-active or non persistence students. Length of study time among UT’s students can be divided into binary data categories, which are valued as persistence (1) and non persistence (0). Logistic regression analysis is one type of statistical data analysis to be used for binary data. The purposes of writing this article are to identify the factors which influence the length of study time among students of the Department of Management, Faculty of Economics in UT, and to determine appropriate model in order to explain the relationship between the response variables (length of study time) with explanatory variables using logistic regression. The method used in this research is a case study with a number of samples as 2,936 college students. The result of the study shows that the factors influence the length of study time with alpha levels 0.05 are: age, the number of the courses taken, the employment status of the student, the participation in tutorials, the first semester achievement index, and the cumulative grade point.

KAPABILITAS PROSES KINERJA LAYANAN MAL PELAYANAN PUBLIK KOTA BOGOR Dewi Juliah Ratnaningsih; Liah Lestari
Jurnal Matematika Sains dan Teknologi Vol. 21 No. 2 (2020)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33830/jmst.v21i2.878.2020

Public Service Mall (PSM) Grha Tiyasain Bogor City is one place that provides services to the public in terms of services. As a public service, Grha Tiyasa should measure whether the services offered to meet consumer expectations. The purpose of writing this paper is to analyze the capability of the process of issuing licensing services and consumer perceptions of services provided by PSMGrha Tiyasa. The process capability analysis criteria used are Pp and Ppk because the data is non-normal distribution. Analysis using Minitab 16.0. The results of the study show that the capability of the service process at the time of issuance of permits has a value of Pp = 1 and Ppk = 0.49. This value indicates that the process capability is excellent. The capability of the process of perception or assessment of consumers of services is quite good. This fact is indicated by the value of Pp = 5.52 and Ppk = 1.70. Mall Pelayanan Publik (MPP) Grha Tiyasadi Kota Bogor merupakan salah satu tempat yang memberikan pelayanan kepada masyarakat. Sebagai pelayan publik, Grha Tiyasa harus mengukur apakah layanan yang ditawarkan memenuhi harapan konsumen. Tujuan penulisan makalah ini adalah untuk menganalisis kapabilitas proses pemberian layanan perizinan dan persepsi konsumen terhadap layanan yang diberikan oleh MPP Grha Tiyasa. Kriteria analisis kapabilitas proses yang digunakan adalah Pp dan Ppk karena data tidak berdistribusi normal. Analisis menggunakan Minitab 16.0. Hasil penelitian menunjukkan bahwa kapabilitas proses pelayanan pada saat izin diterbitkan memiliki nilai Pp = 1 dan Ppk = 0,49. Nilai ini menunjukkan bahwa kapabilitas proses sangat baik. Kemampuan proses persepsi atau penilaian konsumen terhadap jasa cukup baik. Fakta ini ditunjukkan dengan nilai Pp = 5,52 dan Ppk = 1,70.

Pemodelan Daya Tahan Mahasiswa Putus Kuliah pada Pendidikan Tinggi Jarak Jauh dengan Regresi Cox Asep Saefuddin; Dewi Juliah Ratnaningsih
STATISTIKA: Forum Teori dan Aplikasi Statistika Vol 8, No 1 (2008)
Publisher : Program Studi Statistika Unisba

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29313/jstat.v8i1.969

Dalam penelitian ini daya tahan mahasiswa didefinisikan sebagai kemampuannya untuk terusberstatus mahasiswa aktif atau tidak putus kuliah. Tingkat putus kuliah pada perguruan tinggijarak jauh (PTJJ) seperti UT merupakan salah satu contoh data yang mengandung data tersensor.Penelitian mengenai daya tahan belajar mahasiswa PTJJ telah banyak dilakukan, namun data putuskuliah tidak dipandang sebagai data tersensor. Dalam penelitian ini data putus kuliah dipandangsebagai data tersensor jenis 1 (sensor waktu sebelah kanan). Regresi Cox dipergunakan untukmengidentifikasi faktor-faktor yang mempengaruhi mahasiswa putus kuliah di UT.Dari pemodelan inisecara umum ditemukan bahwa mahasiswa UT banyak mengalami putus kuliah.Peubah penjelasyang berpengaruh nyata terhadap daya tahan belajar mahasiswa UT adalah: jenis kelamin, usia,indeks prestasi (IP), indeks prestasi kumulatif (IPK), status cuti akademik, jurusan asal (latarbelakang pendidikan formal), dan status pekerjaan mahasiswa.

Analysis of User Satisfication with Graduates in Statistical Study Program Universitas Terbuka Siti Hadijah Hasanah; Dewi Juliah Ratnaningsih
Jurnal Varian Vol 5 No 1 (2021)
Publisher : Universitas Bumigora

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30812/varian.v5i1.1331

Revolution 4.0 requires the Universitas Terbuka Statistics study program to change the educational curriculum that aims to produce quality graduate competencies. Therefore, to collect informationand evaluate the competence of graduates, it is necessary to conduct tracer study research on each graduate. This study aims to measure user satisfaction with graduate competencies using Gap analysis, Importance-Performance Analysis (IPA), Customer Satisfaction Index (CSI), and a multi-attribute Fishbein model. Based on the value of Gap and Science, the main priority that must be improved by graduates to meet user expectations is the ability to solve problems, generate ideas, and be able to present the results of these ideas in the form of reports/journals. The value of the level of suitability between user satisfaction and the importance of the ability of graduates is very good at 92.87% and a CSI value of 78.25%, which means that overall user satisfaction with graduates is good, besides thatbased on the results of the multi-attribute Fishbein model, an Ao value of 158.20 which means that graduate users have a positive attitude towards the abilities of UT Statistics program graduates.

ANALISIS BUTIR TES OBJEKTIF UJIAN AKHIR SEMESTER MAHASISWA UNIVERSITAS TERBUKA BERDASARKAN TEORI TES MODERN Dewi Juliah Ratnaningsih; Isfarudi Isfarudi
Jurnal Pendidikan Terbuka Dan Jarak Jauh Vol. 14 No. 2 (2013)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (536.565 KB)

Universitas Terbuka has been applying a test of final examination for measuring student learning outcomes. Type of final examination that developed is objective test consisting of stem and option. Option of test covering answer key and detractors. A good question should have detractors relatively homogenous, so that it is difficult to guessed by a student. Criteria of good question can be determined by item analysis with using classical test theory and modern test theory. Universitas Terbuka has been doing item analysis based on classical test theory. This theory has the limitations characteristic of the index items were highly dependent on the group of test. Unlike the case with modern test theory (item response theory). Item response theory is based on the ability of individual test. The purpose of this paper is to determine: (1) how the result of the final exam item analysis using item response analysis, (2) how the comparison of the number of valid and invalid between item response analysis and classical test analysis, and (3) how to determine item characteristics of the items and estimate the ability of participants to the test item response using Rasch models. The data used are student answers that took exams on subjects selected sample in 2009.1 and 2009.2. The total sample used by 8 subjects consisting of 16 sets of questions. The study results showed: (1) average difficulty level of the sample items was subject to item response items (Rasch Model) is between 0.618 to 1.417, (2)comparison of the results of the analysis of test items using classical analysis and the Rasch model analysis is very significant, and (3)on the number of examinees who many (over 1,500 people), the number or percentage of items was valid by using item response analysis more than the classical analysis. Universitas Terbuka menerapkan tes berupa Ujian Akhir Semester untuk mengukur hasil belajar mahasiswa. Tipe soal UAS yang dikembangkan berbentuk tes objektif yang meliputi pernyataan (stem) dan alternatif jawaban (option). Option suatu tes meliputi kunci jawaban dan bukan kunci jawaban (pengecoh). Soal yang baik harus memiliki pengecoh yang relatif homogen, sehingga sulit ditebak oleh mahasiswa. Kriteria soal yang baik dapat diketahui dengan melakukan analisis butir soal baik menggunakan teori tes klasik maupun teori tes modern. Universitas Terbuka melakukan analisis butir soal UAS berdasarkan teori tes klasik. Teori ini memiliki keterbatasan yakni indeks karakteristik butir soal sangat bergantung pada kelompok peserta tes. Pada teori tes modern (teori respon butir), analisis butir soal didasarkan pada kemampuan individu peserta tes bukan berdasarkan kemampuan kelompok peserta tes. Tujuan penulisan artikel ini adalah untuk menentukan: (1) bagaimana hasil analisis butir soal UAS menggunakan teori respon butir, (2) bagaimana perbandingan jumlah soal valid dan tidak valid antara analisis respon butir dengan analisis tes klasik, dan (3) bagaimana menentukan karakteristik soal dan estimasi kemampuan peserta tes dengan analisis respon butir menggunakan model Rasch. Data yang digunakan adalah jawaban mahasiswa yang mengikuti ujian pada 8 mata kuliah sampel terpilih masa ujian 2009.1 dan 2009.2 yang terdiri atas 16 set soal. Hasil penelitian menunjukkan, rata-rata tingkat kesukaran soal mata kuliah sampel dengan teori respon butir (model Rasch) berkisar antara 0,618 sampai dengan 1,417. Perbandingan hasil analisis butir soal model klasik dengan model Rasch sangat signifikan. Pada jumlah peserta ujian yang banyak (lebih dari 1.500 orang), jumlah atau persentase butir soal yang valid dengan menggunakan item respon butir lebih banyak dibanding dengan analisis klasik.

ANALISIS BUTIR SOAL PILIHAN GANDA UJIAN AKHIR SEMESTER MAHASISWA DI UNIVERSITAS TERBUKA DENGAN PENDEKATAN TEORI TES KLASIK Dewi Juliah Ratnaningsih; Isfarudi Isfarudi; Nuraini Soleiman
Jurnal Pendidikan Terbuka Dan Jarak Jauh Vol. 12 No. 2 (2011)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (70.931 KB)

Multiple choice tests have been used to measure students learning achievement for most of the courses at Universitas Terbuka (UT). To ensure the quality of the tests, test item analysis based on classical test theory has been employed regularly. This paper aims to analyze multiple-choice items of the End Semester Examination of UT using the program ITEMAN. The data used were the answers sheets of students taking eight courses in the first and second semester of 2009. Courses analyzed in this study were MKDU4111, PEMA4210, MKDU4109, ISIP4215, EKMA4214, ESPA4112, BIOL4110, and BIOL4119. The results showed that the test items used have had a pretty good quality. Average test item difficulties were fair. This was indicated by the mean value of P which ranged from 0.328 to 0.461. Discrimination index for both semester tests were good in about 75% of the courses measured. Its value ranges from 0.304 to 0.451 for the first semester of 2009 tests and 0.343 to 0.382 for the second semester of 2009 tests. Meanwhile, the reliability of the test items could be considered good except for the courses PEMA4210 (first semester 2009) and MKDU4111 (second semester 2009).

Development of Website-Based Statistics Learning Videos Dewi Juliah Ratnaningsih; Siti Hadijah Hasanah
JTP - Jurnal Teknologi Pendidikan Vol 24 No 2 (2022): Jurnal Teknologi Pendidikan
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat, Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/jtp.v24i2.27153

One source of learning in the learning process is learning materials. In distance education, learning resources prepared for students must be able to be studied independently. The separation of lecturers and students needs to be bridged by learning materials that can be understood by students. A video is a form of learning materials that can be used to help students understand the material. Through videos, students can learn anywhere and anytime according to the time available. In the video, the duration of the material delivery is very significant. Likewise, components such as intro, greeting, and outro greatly support student motivation. The effective video duration in learning website-based statistical data analysis is 10-15 minutes. The component of presenting material that is in great demand by students in the discussion of sample questions and their application using R software.

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