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Pengembangan Metode Klasifikasi Berdasarkan K-Means Dan LVQ Eka Ratnawati, Dian; ., Marji; Muflikhah, Lailil
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 1, No 1 (2014)
Publisher : Fakultas Ilmu Komputer

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (646.659 KB)

Abstract

AbstrakPada penelitian ini dikembangkan metode klasifikasi berdasarkan pengelompokan K-Means dan LVQ. Metode-metode klasifikasi yang telah ada jika ada data dengan frekuensi kecil cenderung tidak digunakan dalam pengujian kelas, padahal dimungkinkan data tersebut sangat bermanfaat. Langkah untuk melakukan pengelompokan adalah: melakukan pengelompokkan dengan K-Means. Pengelompokan terus dilakukan sampai mencapai threshold (batasan tertentu). Jika threshold sudah dicapai dan pada satu cluster masih terdapat kelas yang berbeda maka dilakukan pembelajaran dengan menggunakan LVQ. Akurasi gabungan K-Means dan LVQ lebih baik daripada dengan K-Means murni. Untuk  akurasi rata-rata tertinggi K-Means dan LVQ didapatkan 92%, sedang untuk K-Means murni 82%.Kata kunci: klasifikasi, pengelompokan, K-Means, LVQAbstractThis research will develop methods of classification based on K-Means clustering. Grouping method used is a combination of K-Means and LVQ. Classification methods that have been there if there is a small frequency data tend to be used in the test class, but it is possible they are very useful. Steps to perform grouping is doing the K-Means clustering. Grouping is continues until it reaches the threshold. If the threshold has been reached and there are cluster of different classes then performed using LVQ learning. Accuracy combined K-Means and LVQ is better than with pure K-Means. For the highest average accuracy of K-Means and LVQ gained 92%, while for the K-Means only 82%.Keywords: classification, grouping, K-Means, LVQ
Dukungan Keluarga dan Kesiapan Kerja di Kalangan Siswa SMK di Indonesia: Efek Mediasi dari Wawasan Dunia Kerja Rohman, Mojibur; ., Marji; Sudjimat, Dwi Agus; Sugandi, R Machmud
Jurnal Pendidikan Teknik Mesin Undiksha Vol 10, No 1 (2022)
Publisher : UNIVERSITAS PENDIDIKAN GANESHA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jptm.v10i1.43409

Abstract

Abstrak Kesiapan kerja siswa kejuruan di Indonesia menjadi salah satu isu penting yang terus dibahas. Hal tersebut dikarenakan lulusan pendidikan kejuruan tersebut masih menduduki posisi teratas untuk angka pengangguran dibandingkan tingkat pendidikan yang lain. Rendahnya kesiapan kerja di kalangan siswa dipengaruhi oleh banyak faktor yang perlu diidentifikasi. Penelitian ini bertujuan untuk menguji secara empiris pengaruh dukungan keluarga terhadap kesiapan kerja siswa kejuruan yang dimediasi oleh wawasan dunia kerja. Untuk itu 115 siswa dipilih melalui teknik cluster random sampling dari 4 SMK yang ada di Jawa Timur, Indonesia. Pengumpulan data menggunakan kuesioner untuk mengukur skala dukungan keluarga, wawasan dunia kerja dan kesiapan kerja siswa. Pengujian hipotesis dilakukan dengan analisis jalur pada tingkat signifikansi 0,05. Hasil penelitian menujukkan bahwa dukungan keluarga berpengaruh signifikan terhadap kesiapan kerja siswa, baik secara langsung maupun tidak langsung melalui wawasan dunia kerja. Dengan demikian, keterlibatan keluarga harus maksimal dalam memberikan dukungan yang dibutuhkan oleh siswa. Di sisi lain, sekolah harus mampu menyediakan informasi pekerjaan yang tepat untuk membantu siswa dalam memperluas wawasan mereka tentang dunia kerja.Kata kunci: kesiapan kerja; dukungan keluarga; wawasan dunia kerja; SMK. AbstractJob readiness of vocational students in Indonesia is one of the important issues that continues to be discussed. This is because vocational education graduates still occupy the top position for unemployment rates compared to other levels of education. The low job readiness among students is influenced by many factors that need to be identified. This study aims to empirically examine the effect of family support on vocational students' job readiness mediated by the world of work insight. For this reason, 115 students were selected through a cluster random sampling technique from 4 vocational schools in East Java, Indonesia. Collecting data using a questionnaire to measure the scale of family support, insight into the world of work and student work readiness. Hypothesis testing was carried out by path analysis at a significance level of 0.05. The results of the study show that family support has a significant effect on students' work readiness, both directly and indirectly through insight into the world of work. Thus, family involvement should be maximized in providing the support needed by students. On the other hand, schools must be able to provide appropriate job information to assist students in broadening their horizons about the world of work.Keywords : working readiness; family support; insight into the world of work; SMK.DAFTAR RUJUKANSuswanto, H., Asfani, K., and Wibawa, A.P. (2017). Contribution of teaching performance, learning satisfaction and achievement motivation to students’ competence achievement. Global J. of Engng. Educ., 19, 1, 66-71.Billett, S. (2011). Vocational Education Purposes, Traditions and Prospects. New York: Springer,.Pavlova, M. (2009). Technology And Vocational Education For Sustainable Development : Empowering Individuals for the Future. Queensland: Springer.Badan Pusat Statistik (BPS), Tingkat Pengangguran Terbuka (TPT) sebesar 5,34 persen (2018), 14 May 2019, https://www.bps.go.id/pressrelease/2018/11/05/1485/agustus-2018--tingkat-pengangguran-terbuka--tpt--sebesar-5-34-persen.htmlSasmito, A.P., Kustono, D. & Patmanthara, S. (2015). Kesiapan Memasuki Dunia Usaha/Dunia Industri (DU/DI) Siswa Paket Keahlian Rekayasa Perangkat Lunak di SMK. Teknologi dan Kejuruan, 38, 1, 25-40.Caballero, C., Walker, A., & Fuller-Tyszkiewicz, M. (2011). The Work Readiness Scale (WRS): Developing a measure to assess work readiness in college graduates. J. of Teaching and Learning for Graduate Employability, 2, 2, 41-54.Caballero, C., & Walker, A.  (2010). Work readiness in graduate recruitment and selection: A review of current assessment methods. J. of Teaching and Learning for Graduate Employability, 1, 1, 13- 25.Setyawati, R., (2017). Pengaruh Pengalaman Praktik Kerja Industri, Pelaksanaan Bimbingan Kejuruan dan Dukungan Keluarga terhadap Kesiapan Kerja Siswa SMK Swasta di Kabupaten Bantul. Jurnal Sosial Humaniora dan Pendidikan, 2, 1, 36-45.Grant, K.B. & Ray, J.A., (2010). Home, School, and Community Collaboration. United Stae of America: SAGE Publication, Inc.,King, R.B., & McInerney, D.M., (2019). Family-support goals drive engagement and achievement in a collectivist context: Integrating etic and emic approaches in goal research. Contemporary Educational Psychology 58, 338-353.Igberadja, S., (2015). Factors Influencing Performance In Basic Technology Among Secondary School Students of Delta South Senatorial District in Delta State, Nigeria, Journal of Technical Education and Training (JTET), 7, 2, 24-34.Odo, M. I. (2015). Sustaining Occupational Information for Career Choice and Development in Students of Technical Colleges in Enugu State, Nigeria. Journal of Technical Education and Training (JTET), 7, 1, 1-9.Saniter, N., Schnitzlein, D.,D., & Siedler, T. (2019). Occupational Knowledge and Educational Mobility: Evidence from the Introduction of Job Information Centers. Economics of Education Review, 69, 108-124.Feldt, L.S., & Brennan, R.L., (1989). Reliability educational measurement. New York: McMillan Publishing Company.Isarabhakdi, P. & Pewnil, T. (2016). Engagement with family, peers, and Internet use and its effect on mental well-being among high school students in Kanchanaburi Province, Thailand, International Journal of Adolescence and Youth, 21, 1, 15-26.Smitsa, J. & Hosgor, A.G. (2006). Effects of family background characteristics on educational participation in Turkey, International Journal of Educational Development, 26, 545-560.Ismail, M.E., Hashim, S., Hamzah, N., Samad, N.A., Masran, S.M., Mat Daud, K.A., Amin, N.F.M.,, Samsudin, M.A. & Kamarudin, N.Z.S. (2019). Factors that Influence Students’ Learning: An observation on Vocational College students, Journal Of Technical Education And Trainin, 11, 1, 93-99.Ainane, S., Bouabid, A. & Sokkary, W.E. (2019). Factors that influence the high percentage of women enrolled in engineering in the UAE and preparing for careers in the oil and gas industry, Global Journal of Engineering Education., 21, 1, 62-68.
Dukungan Keluarga dan Kesiapan Kerja di Kalangan Siswa SMK di Indonesia: Efek Mediasi dari Wawasan Dunia Kerja Rohman, Mojibur; ., Marji; Sudjimat, Dwi Agus; Sugandi, R Machmud
Jurnal Pendidikan Teknik Mesin Undiksha Vol. 10 No. 1 (2022)
Publisher : UNIVERSITAS PENDIDIKAN GANESHA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.23887/jptm.v10i1.43409

Abstract

Abstrak Kesiapan kerja siswa kejuruan di Indonesia menjadi salah satu isu penting yang terus dibahas. Hal tersebut dikarenakan lulusan pendidikan kejuruan tersebut masih menduduki posisi teratas untuk angka pengangguran dibandingkan tingkat pendidikan yang lain. Rendahnya kesiapan kerja di kalangan siswa dipengaruhi oleh banyak faktor yang perlu diidentifikasi. Penelitian ini bertujuan untuk menguji secara empiris pengaruh dukungan keluarga terhadap kesiapan kerja siswa kejuruan yang dimediasi oleh wawasan dunia kerja. Untuk itu 115 siswa dipilih melalui teknik cluster random sampling dari 4 SMK yang ada di Jawa Timur, Indonesia. Pengumpulan data menggunakan kuesioner untuk mengukur skala dukungan keluarga, wawasan dunia kerja dan kesiapan kerja siswa. Pengujian hipotesis dilakukan dengan analisis jalur pada tingkat signifikansi 0,05. Hasil penelitian menujukkan bahwa dukungan keluarga berpengaruh signifikan terhadap kesiapan kerja siswa, baik secara langsung maupun tidak langsung melalui wawasan dunia kerja. Dengan demikian, keterlibatan keluarga harus maksimal dalam memberikan dukungan yang dibutuhkan oleh siswa. Di sisi lain, sekolah harus mampu menyediakan informasi pekerjaan yang tepat untuk membantu siswa dalam memperluas wawasan mereka tentang dunia kerja.Kata kunci: kesiapan kerja; dukungan keluarga; wawasan dunia kerja; SMK. AbstractJob readiness of vocational students in Indonesia is one of the important issues that continues to be discussed. This is because vocational education graduates still occupy the top position for unemployment rates compared to other levels of education. The low job readiness among students is influenced by many factors that need to be identified. This study aims to empirically examine the effect of family support on vocational students' job readiness mediated by the world of work insight. For this reason, 115 students were selected through a cluster random sampling technique from 4 vocational schools in East Java, Indonesia. Collecting data using a questionnaire to measure the scale of family support, insight into the world of work and student work readiness. Hypothesis testing was carried out by path analysis at a significance level of 0.05. The results of the study show that family support has a significant effect on students' work readiness, both directly and indirectly through insight into the world of work. Thus, family involvement should be maximized in providing the support needed by students. On the other hand, schools must be able to provide appropriate job information to assist students in broadening their horizons about the world of work.Keywords : working readiness; family support; insight into the world of work; SMK.DAFTAR RUJUKANSuswanto, H., Asfani, K., and Wibawa, A.P. (2017). Contribution of teaching performance, learning satisfaction and achievement motivation to students’ competence achievement. Global J. of Engng. Educ., 19, 1, 66-71.Billett, S. (2011). Vocational Education Purposes, Traditions and Prospects. New York: Springer,.Pavlova, M. (2009). Technology And Vocational Education For Sustainable Development : Empowering Individuals for the Future. Queensland: Springer.Badan Pusat Statistik (BPS), Tingkat Pengangguran Terbuka (TPT) sebesar 5,34 persen (2018), 14 May 2019, https://www.bps.go.id/pressrelease/2018/11/05/1485/agustus-2018--tingkat-pengangguran-terbuka--tpt--sebesar-5-34-persen.htmlSasmito, A.P., Kustono, D. & Patmanthara, S. (2015). Kesiapan Memasuki Dunia Usaha/Dunia Industri (DU/DI) Siswa Paket Keahlian Rekayasa Perangkat Lunak di SMK. Teknologi dan Kejuruan, 38, 1, 25-40.Caballero, C., Walker, A., & Fuller-Tyszkiewicz, M. (2011). The Work Readiness Scale (WRS): Developing a measure to assess work readiness in college graduates. J. of Teaching and Learning for Graduate Employability, 2, 2, 41-54.Caballero, C., & Walker, A.  (2010). Work readiness in graduate recruitment and selection: A review of current assessment methods. J. of Teaching and Learning for Graduate Employability, 1, 1, 13- 25.Setyawati, R., (2017). Pengaruh Pengalaman Praktik Kerja Industri, Pelaksanaan Bimbingan Kejuruan dan Dukungan Keluarga terhadap Kesiapan Kerja Siswa SMK Swasta di Kabupaten Bantul. Jurnal Sosial Humaniora dan Pendidikan, 2, 1, 36-45.Grant, K.B. & Ray, J.A., (2010). Home, School, and Community Collaboration. United Stae of America: SAGE Publication, Inc.,King, R.B., & McInerney, D.M., (2019). Family-support goals drive engagement and achievement in a collectivist context: Integrating etic and emic approaches in goal research. Contemporary Educational Psychology 58, 338-353.Igberadja, S., (2015). Factors Influencing Performance In Basic Technology Among Secondary School Students of Delta South Senatorial District in Delta State, Nigeria, Journal of Technical Education and Training (JTET), 7, 2, 24-34.Odo, M. I. (2015). Sustaining Occupational Information for Career Choice and Development in Students of Technical Colleges in Enugu State, Nigeria. Journal of Technical Education and Training (JTET), 7, 1, 1-9.Saniter, N., Schnitzlein, D.,D., & Siedler, T. (2019). Occupational Knowledge and Educational Mobility: Evidence from the Introduction of Job Information Centers. Economics of Education Review, 69, 108-124.Feldt, L.S., & Brennan, R.L., (1989). Reliability educational measurement. New York: McMillan Publishing Company.Isarabhakdi, P. & Pewnil, T. (2016). Engagement with family, peers, and Internet use and its effect on mental well-being among high school students in Kanchanaburi Province, Thailand, International Journal of Adolescence and Youth, 21, 1, 15-26.Smitsa, J. & Hosgor, A.G. (2006). Effects of family background characteristics on educational participation in Turkey, International Journal of Educational Development, 26, 545-560.Ismail, M.E., Hashim, S., Hamzah, N., Samad, N.A., Masran, S.M., Mat Daud, K.A., Amin, N.F.M.,, Samsudin, M.A. & Kamarudin, N.Z.S. (2019). Factors that Influence Students’ Learning: An observation on Vocational College students, Journal Of Technical Education And Trainin, 11, 1, 93-99.Ainane, S., Bouabid, A. & Sokkary, W.E. (2019). Factors that influence the high percentage of women enrolled in engineering in the UAE and preparing for careers in the oil and gas industry, Global Journal of Engineering Education., 21, 1, 62-68.
Pengembangan Metode Klasifikasi Berdasarkan K-Means Dan LVQ Eka Ratnawati, Dian; ., Marji; Muflikhah, Lailil
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 1 No 1: April 2014
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (646.659 KB) | DOI: 10.25126/jtiik.20141197

Abstract

AbstrakPada penelitian ini dikembangkan metode klasifikasi berdasarkan pengelompokan K-Means dan LVQ. Metode-metode klasifikasi yang telah ada jika ada data dengan frekuensi kecil cenderung tidak digunakan dalam pengujian kelas, padahal dimungkinkan data tersebut sangat bermanfaat. Langkah untuk melakukan pengelompokan adalah: melakukan pengelompokkan dengan K-Means. Pengelompokan terus dilakukan sampai mencapai threshold (batasan tertentu). Jika threshold sudah dicapai dan pada satu cluster masih terdapat kelas yang berbeda maka dilakukan pembelajaran dengan menggunakan LVQ. Akurasi gabungan K-Means dan LVQ lebih baik daripada dengan K-Means murni. Untuk  akurasi rata-rata tertinggi K-Means dan LVQ didapatkan 92%, sedang untuk K-Means murni 82%.Kata kunci: klasifikasi, pengelompokan, K-Means, LVQAbstractThis research will develop methods of classification based on K-Means clustering. Grouping method used is a combination of K-Means and LVQ. Classification methods that have been there if there is a small frequency data tend to be used in the test class, but it is possible they are very useful. Steps to perform grouping is doing the K-Means clustering. Grouping is continues until it reaches the threshold. If the threshold has been reached and there are cluster of different classes then performed using LVQ learning. Accuracy combined K-Means and LVQ is better than with pure K-Means. For the highest average accuracy of K-Means and LVQ gained 92%, while for the K-Means only 82%.Keywords: classification, grouping, K-Means, LVQ
Optimasi Kandungan Gizi Untuk Menu Harian Menggunakan Fuzzy Integer Programming Muflikhah, Lailil; Ramadhan, Galang Gilang; ., Marji
Jurnal Teknologi Informasi dan Ilmu Komputer Vol 3 No 2: Juni 2016
Publisher : Fakultas Ilmu Komputer, Universitas Brawijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (853.499 KB) | DOI: 10.25126/jtiik.201632207

Abstract

AbstrakTujuan utama dari optimasi kandungan gizi  adalah  membantu pengguna menemukan daftar menu harian termurah berdasarkan kebutuhan gizinya serta biaya yang ditetapkan. Permasalahan ini cukup menantang karena banyak melibatkan data yang sifatnya tak pasti atau buram sehingga tidak dapat diselesaikan dengan metode optimasi dasar seperti Linear Programming. Fuzzy Linear Programming adalah solusi lain yang dapat digunakan. Namun  oleh karena sifatnya yang linear, metode ini menimbulkan efek di mana kombinasi makanan yang dihasilkan bisa jadi tidak enak untuk dikonsumsi (unpalatable). Fuzzy Integer Programming (FIP), yang merupakan pengembangan dari Integer Programming, menerapkan batasan-batasan yang lebih ketat pada model matematika dari permasalahan. Dengan menggunakan metode yang mengkonversi model FIP menjadi model Multiple Objective Integer Programming Problem (MOIPP), Integer Programming yang melibatkan data tak pasti dapat dipecahkan dengan mudah. Pengujian dengan membandingkan hasil dari metode ini dengan sebuah hasil metode apriori optimal. Metode ini diperoleh dari pembangkitan seluruh kombinasi yang mungkin sehingga menunjukkan bahwa metode ini mampu menemukan variasi menu optimal dengan tingkat optimalitas 100% dalam berbagai kondisi keburaman data. Dengan demikian, Fuzzy Integer Programming dapat dikatakan sebagai solusi yang dapat diandalkan untuk menyelesaikan permasalahan optimasi kandungan gizi menu harian. Kata Kunci: Kandungan gizi, Fuzzy Integer Programming, Menu Harian, Optimasi AbstractThe main purpose  of nurient optimization is to help user find the cheapest of daily menu, according to their nutrient needs and specified cost. This problem is quite challenging due to many uncertanty data are involved so that it can’t be solved by using basic optimization method such as Linear Programming. Fuzzy Linear Programming is another solution that can be used. How ever, because of its characteristic is linear, this method has an effect that can produce an unpalatable food combination. Fuzzy Integer Programming (FIP) which extends Integer Programming method, apply more strictly constraints to the problem’s mathematical model. By using a method that converts an FIP model into Multiple Objective Integer Programming Problem (MOIPP) model, Integer Programming with fuzzy data is solvable easily. A test result is compared to an a priori optimal result. It is obtained from an exhaustive combination generation so that shows that this method is capable to find the optimal menu within various data fuzziness   with optimality of 100%. Hence, Fuzzy Integer Programming can be considered as a reliable solution to solve optimization of daily menu nutrient. Keywords:  Nutrient, Fuzzy Integer Programming, Daily Menu, Optimization
Co-Authors Dian Eka Ratnawati Dwi Agus Sudjimat Lailil Muflikhah Machmud Sugandi Ramadhan, Galang Gilang Rohman, Mojibur