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<![CDATA[Implementasi Algoritma K-Nearest Neighbor Sebagai Pendukung Keputusan Klasifikasi Penerima Beasiswa PPA dan BBM ]]>
<![CDATA[Sumarlin, Sumarlin]]>
<![CDATA[ JSINBIS (Jurnal Sistem Informasi Bisnis) Vol 5, No 1 (2015): Volume 5 Nomor 1 Tahun 2015 ]]>
Publisher : <![CDATA[Universitas Diponegoro ]]>
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DOI: 10.21456/vol5iss1pp52-62
<![CDATA[In line with the growth in the academic field especially college, scholarship is a problem that is interesting to study. Several studies in the field of computers for the screening or classification scholarships have been carried out in the academic authorities to minimize the error in awarding scholarships. This study discusses the classification of PPA and BBM scholarships based on variables that have been determined by applying the k-nearest neighbor algorithm. The process of selecting awardees PPA and BBM requires a decision support system (DSS) to help provide alternative solutions. The results of the classification system will be used as a decision in awarding scholarships to students who submit. Results of testing to measure the performance of k - nearest neighbor algorithm using cross validation method, Confusion Matrix and the Receiver Operating Characteristic (ROC) curve, the accuracy obtained for PPA scholarships reached 88.33% with a value of 0.925 area under curve (AUC) dataset of 227 records, while accuracy is obtained for fuel BBM scholarships reached 90% with a value of 0.937% AUC dataset of 183 records​​, accuracy for PPA and BBM scholarships reached 85,56% and AUC value 0,958. Because AUC values ​​were in the range of 0.9 to 1.0 the method falls within the category of very good (excellent). Keywords: Decision Support System; K-nearest neighbor; Classification; Scholarship]]>
<![CDATA[KONSEP DAN RANCANGAN LAYANAN ALTERNATIF BERBAGI MODUL PENGAJARAN DAN PEMBELAJARAN DIGITAL KAMPUS ]]>
<![CDATA[Edwin Ariesto Umbu Malahina]]>;
<![CDATA[S Sumarlin]]>
<![CDATA[ Jurnal Ilmiah Flash Vol 6 No 2 (2020) ]]>
Publisher : <![CDATA[P3M- Politeknik Negeri Kupang ]]>
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DOI: 10.32511/flash.v6i2.713
<![CDATA[Penelitian ini merupakan penalaran konsep dalam bentuk rancanga design system untuk berbagi modul pengajaran, dimana konsep ini, akan membutuhkan kerjasama dan persetujuan Mitra Kampus dalam berkolaborasi dan berpartisipasi dalam menyusun serta melampirkan cetakan digital file modul digital kedalam system yang akan dikembangkan nantinya. Model system ini menerapkan model waterfall, karena model ini memiliki tahap yang jelas dan sesuai dengan keinginan system yang dikembangkan kedepannya, proses yang dimiliki model ini adalah; analysis, design, implementation, testing, deployment dan maintenance. Pengembangan system berbagi modul ini dapat dijalankan pada aplikasi mobile Android dan web browser baik untuk admin dan client (Mitra Kampus). Konsep ini, diharapkan agar mendorong dan memberikan dampak baik bagi dunia kampus dalam menerapkan system sharing dan update knowledge, sehingga keilmuan, pembelajaran dan kompetensi keahlian setiap tenaga pengajar dapat selalu beradaptasi dengan terapan ilmu dari berbagai kampus-kampus lainnya sehingga tidak ketertinggalan dalam belajar hal-hal baru, serta ilmu yang didapatkan dari kampus-kampus yang bereputasi baik dengan tenaga pengajar yang berkopetansi serta ahli dibidangnya, akan menambah wawasan lebih luas dengan penerapan haring dan update knowledge]]>
<![CDATA[Pengembangan Media Pembelajaran Adaptif Berbasis Fuzzy Expert System untuk Meningkatkan Prestasi Belajar Siswa ]]>
<![CDATA[Sumarlin Sumarlin]]>
<![CDATA[ Belantika Pendidikan Vol 4, No 1 (2021) ]]>
Publisher : <![CDATA[Kayon Media ]]>
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DOI: 10.47213/bp.v4i1.105
<![CDATA[Beberapa peneliti telah menunjukkan pentingnya memberikan bimbingan dan dukungan untuk belajar secara individu. Dalam beberapa dekade terakhir, sebagian besar penelitian tentang bagaimana cara mengembangkan sistem pembelajaran adaptif untuk mengatasi masalah ini terutama berdasarkan status kognitif siswa, seperti prestasi belajar. Namun, beberapa pendidik telah menunjukkan perlunya mempertimbangkan status afektif peserta didik. Oleh karena itu, penelitian ini mengusulkan pendekatan sistem pakar fuzzy dengan mempertimbangkan status afektif dan kognitif individu peserta didik. Sistem pembelajaran adaptif dilaksanakan berdasarkan pendekatan yang diusulkan. Selain itu, perlu dilakukan percobaan pada salah satu mata pelajaran untuk membandingkan prestasi belajar dan persepsi siswa yang melakukan pembelajaran dengan sistem pembelajaran adaptif dengan analisis status afektif dan kognitif. Selain itu, berdasarkan hasil penelitian ditemukan bahwa aplikasi yang dikembangkan membantu siswa yang berprestasi rendah berhasil menyelesaikan tugas-tugas pembelajaran, sementara mereka yang belajar dengan pendekatan berbasis faktor kognitif konvensional lebih cenderung menyerah dalam menyelesaikan beberapa tugas pembelajaran, dan lebih bergantung pada versi rinci dari bahan ajar.]]>
<![CDATA[IMPLEMENTASI K-NEAREST NEIGHBORD PADA RAPIDMINER UNTUK PREDIKSI KELULUSAN MAHASISWA ]]>
<![CDATA[Sumarlin Sumarlin]]>;
<![CDATA[Dewi Anggraini]]>
<![CDATA[ HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 10 No. 1 (2019): Jurnal HOAQ - Teknologi Informasi ]]>
Publisher : <![CDATA[STIKOM Uyelindo Kupang ]]>
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DOI: 10.52972/hoaq.vol10no1.p35-41
<![CDATA[Data on graduate students is an important part in determining the quality of a private and public university. Graduate data is included in important assessments in the accreditation process. Data from Uyelindo Kupang STIKOM graduates every year will continue to grow and accumulate like neglected data because it is rarely used. To maximize student data into information that can be used by universities, the data must be processed in this case used as training data in a study using data mining to obtain information in the form of predictions of graduation from Kupang Uyelindo STIKOM students. The method used in this study is K-Nearest Neighbor using rapidminer software to measure K-Nearest Neighbor's accuracy against student graduate data. The criteria used were in the form of student names, gender, cumulative achievement index (GPA) from semester 1 to 6. In applying the K-Nearest Neighbor algorithm can be used to produce predictions of student graduation. To measure the performance of the k-nearest neighbor algorithm, the Cross Validation, Confusion Matrix and ROC Curves methods are used, in this study using a 5-fold cross validation to predict student graduation. From 100 student dataset records Uyelindo Kupang STIKOM graduates obtained accuracy rate reached 82% and included a very good classification because it has an AUC value between 0.90-1.00, which is 0.971, so it can be concluded that the accuracy of testing of student graduation models using K-Nearest Neighbor (K-NN) algorithm is influenced by the number of data clusters. Accuracy and the highest AUC value of 5-fold validation is to cluster data k = 4 with the accuracy value of 90%.]]>
<![CDATA[IMPLEMENTASI DAN EFEKTIFITAS PENGGUNAAN MOBILE LEARNING TERHADAP HASIL BELAJAR MAHASISWA PROGRAM STUDI SISTEM INFORMASI STIKOM UYELINDO KUPANG ]]>
<![CDATA[Sumarlin Sumarlin]]>;
<![CDATA[Edwin A. U. Malahina]]>
<![CDATA[ HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 11 No. 1 (2020): Jurnal HOAQ - Teknologi Informasi ]]>
Publisher : <![CDATA[STIKOM Uyelindo Kupang ]]>
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DOI: 10.52972/hoaq.vol11no1.p39-45
<![CDATA[This research was made aiming to implement and improve the effectiveness of learning media through mobile-based mobile learning for all courses in Uyelindo Kupang STIKOM information system students. The research target to be achieved is an additional learning media that is interesting and easy to use so that it can increase student interest and student achievement. This research will discuss how to design, develop and evaluate the effectiveness of using Mobile Learning applications. This application is made so that students can easily access a course material using the Mobile Learning application by Smartphone and also to increase the effectiveness of conducting online lectures at the Uyelindo Kupang STIKOM information system study program. To measure the effectiveness of the use of mobile learning it is necessary to test among them, from the results of the Kolmogorov-Smirnov test using SPSS 16 it is found that the research subjects are normally distributed and based on the results of the Paired Samples Test t-test it is known that the significant value is 0,000> 0,05. While t-count = -11,142 and for t-table at a significant level ? = 5% (0.05) with degrees of freedom (df) n-1 or 50-1 = 49. Two-sided testing (significance = 0.025) results are obtained for t-table = 2 , 00958 with a significant level of 0.025. In the result t-count < t-table (-11.142 <2, 00958) then H0 is rejected and Ha is accepted. So that the use of mobile learning media can improve student learning outcomes at the Uyelindo Kupang STIKOM information system.]]>
<![CDATA[APLIKASI PENCARIAN LOKASI DAN INFORMASI TAMAN PENDIDIKAN AL-QUR’AN KOTA KUPANG BERBASIS ANDROID ]]>
<![CDATA[Rudi Hariyanto]]>;
<![CDATA[Edwin A. U. Malahina]]>;
<![CDATA[Sumarlin Sumarlin]]>
<![CDATA[ HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 11 No. 2 (2020): Jurnal HOAQ - Teknologi Informasi ]]>
Publisher : <![CDATA[STIKOM Uyelindo Kupang ]]>
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DOI: 10.52972/hoaq.vol11no2.p81-89
<![CDATA[Kupang city is one of the cities in Indonesia that has a high level of religious tolerance, this is supported by the Peace Gong archipelago, but this is inversely proportional to religious education in the city of Kupang, especially the Islamic religious education because of lack of religious instruction in formal education institutions . The Qur'an Educational Park is an institution that plays an important role in providing religious education, the procedure of reading and understanding al-quran. But the lack of community knowledge about the location of the Quranic Education Park has left the public confused to find and choose the right religious education institutions to give their children education about religion. For that, there need to be built an application that can display the location and information about the Qur'an Educational Park located in the city of Kupang. With Android-based development, it will simplify the community because Android smartphone users are quite a lot and ensure the accuracy of user location data. In addition to showing the location, the application will also provide information about the Qur'an Educational Park in Kupang City that has been marked on google maps.]]>
<![CDATA[SISTEM PENDUKUNG KEPUTUSAN UNTUK MENENTUKAN PEMENANG LELANG TENDER PROYEK MENGGUNAKAN METODE PERBANDINGAN EKSPONENTIAL PADA KANTOR DINAS PEKERJAAN UMUM TIMOR TENGAH UTARA ]]>
<![CDATA[Deni Alfiando Salem]]>;
<![CDATA[S Sumarlin]]>
<![CDATA[ Jurnal Ilmiah Flash Vol 8 No 1 (2022) ]]>
Publisher : <![CDATA[P3M- Politeknik Negeri Kupang ]]>
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DOI: 10.32511/flash.v8i1.949
<![CDATA[Tenders or auctions in the construction industry are often held, either public or open or closed depending on the owner and the project to be carried out. Tenders or auctions are needed because in the implementation of a project, both government projects and private projects, the owner expects the best bid for the project. A tender committee is an organization established and endorsed which is responsible for the successful auction of a tender. The tender or auction in the north middle Timor regency is held every year after the local government proposes the project procurement in the budget session with the DPR. Project procurement is proposed at the hearing in the form of the location and amount of the project budget, during the budget session. The amount of budget proposed by the government can be reduced and the project procurement can be canceled unilaterally by the DPR, after the budget session is over and the project procurement has been approved, the project will be posted on the LPSE (Electronic Procurement Service) website of north middle Timor regency. In determining the tender winner, at the final determination stage, is still done manually so there are a lot of cheats and frequent human errors, therefore an application is needed to assist and facilitate decision-making in determining the winner of the project tender. This research produces a decision support system application to determine the winner of the project tender that can assist the committee in determining decision-making using the Exponential Comparison Method. The result of the system implementation is that the system can assist and facilitate decision-making in determining the project tender winner. The decision support system for determining the winner of this project tender can assist the committee in determining decision-making using the Exponential Comparison Method. Measuring the accuracy of determining the project tender winner between the Public Works Agency ranking with the Exponential Comparison Method (MPE) algorithm ranking, obtained an accuracy rate of 100%, so that the Exponential Comparison Method algorithm is feasible to be implemented in making a decision support system for determining project tender winners at the office North Middle Timor Regency Public Works.]]>
<![CDATA[Improvement of engineering student’s learning outcomes in high schools using adaptive educational hypermedia system ]]>
<![CDATA[Sumarlin, Sumarlin]]>;
<![CDATA[Setyosari, Punaji]]>;
<![CDATA[Ulfa, Saida]]>;
<![CDATA[Degeng, Made Dunanda Kartika]]>
<![CDATA[ International Journal of Evaluation and Research in Education (IJERE) Vol 13, No 5: October 2024 ]]>
Publisher : <![CDATA[Institute of Advanced Engineering and Science ]]>
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DOI: 10.11591/ijere.v13i5.28381
<![CDATA[This was a research and development (R&D) which aims to develop adaptive educational hypermedia system (AEHS) learning media. The use of AEHS based on learning style in supporting the online learning process is considered very effective for use by engineering students because it can be accessed via mobile devices which can make it easier for students to learn and has an effect on increasing learning outcomes, this is supported by several inputs from experts through expert learning design tests, learning instrument experts, learning media experts and learning outcome measurement experts with the assessment results included in the very good category. The participants in this study were informatics engineering students, totaling 100 students. Small group tests were conducted for participants and obtained a gain score of 0.735 included in the 'high' category. The pretest and posttest have been carried out and the results show that the average posttest score is greater than the pretest value. A comparison between the use of AEHS developed with web-based learning was carried out and it can be concluded that the use of AEHS based on learning styles further improves student learning outcomes in informatics engineering compared to web-based learning.]]>
<![CDATA[PEMBELAJARAN ADAPTIF BERBASIS SISTEM CERDAS UNTUK MENINGKATKAN KEMAMPUAN BERPIKIR KRITIS MAHASISWA DI PERGURUAN TINGGI ]]>
<![CDATA[Sumarlin]]>;
<![CDATA[Naatonis, Remerta Noni]]>;
<![CDATA[Anggraini, Dewi]]>
<![CDATA[ HOAQ (High Education of Organization Archive Quality) : Jurnal Teknologi Informasi Vol. 15 No. 2 (2024): Jurnal HOAQ - Teknologi Informasi ]]>
Publisher : <![CDATA[STIKOM Uyelindo Kupang ]]>
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DOI: 10.52972/hoaq.vol15no2.p136-145
<![CDATA[Penelitian ini bertujuan untuk menganalisis penerapan pembelajaran adaptif berbasis sistem cerdas dalam meningkatkan keterampilan berpikir kritis mahasiswa dalam proses pembelajaran online selama perkuliahan. Pembelajaran adaptif dapat menyediakan konten materi kuliah yang sesuai dengan karakteristik dan gaya belajar mahasiswa secara mandiri. Pembelajaran adaptif berbasis sistem cerdas yang dikembangkan mampu mendeteksi gaya belajar mahasiswa sesuai dengan hasil kuesioner VARK sebagai dasar untuk mengenali karakteristik mahasiswa, serta dapat merekomendasikan konten pembelajaran yang sesuai dengan gaya belajar mahasiswa. Dengan demikian, mahasiswa diharapkan dapat meningkatkan keterampilan berpikir kritis yang akan berdampak pada peningkatan hasil belajar. Untuk menguji efektivitas sistem yang dikembangkan, digunakan uji T Independen dengan membagi sampel 100 menjadi dua kelompok (eksperimen kuasi), yaitu kelas eksperimen dan kelas kontrol. Hasil penelitian menunjukkan bahwa terdapat pengaruh yang sangat signifikan antara hasil kelas eksperimen dan kelas kontrol dengan nilai signifikansi (P=0,020) <(0,050), sehingga dapat disimpulkan bahwa sistem adaptif yang dikembangkan berjalan dengan baik, terlihat dari nilai rata-rata pada setiap kelas dimana kelas eksperimen memperoleh nilai rata-rata lebih tinggi dari kelas kontrol. This study aims to analyze the application of intelligent system-based adaptive learning in enhancing students' critical thinking skills in the online learning process during lectures. Adaptive learning can provide lecture material content that suits the characteristics and learning styles of students independently. The intelligent system-based adaptive learning developed is capable of detecting student learning styles according to the results of the VARK questionnaire as a basis for recognizing the characteristics of these students, as well as being able to recommend learning content according to student learning styles. So that in the end students can improve critical thinking skills which will have an impact on improving learning outcomes. To test the effectiveness of the system being developed, the Independent T test was used by dividing a sample of 100 into two groups (quasi-experiments), namely the experimental class and the control class. The results showed that there was a very significant effect between the results of the experimental class and the control class with a significant value (P=0.020) <(0.050), so it can be concluded that the adaptive system developed went well, this can be seen from the average value on each class where the experimental class obtained an average score higher than the control class.]]>
<![CDATA[ANALISIS PERBANDINGAN KLASIFIKASI SUPERVISED DAN UNSUPERVISED CITRA SATELIT LANDSAT UNTUK PEMETAAN PENUTUPAN LAHAN DI KABUPATEN KUPANG ]]>
<![CDATA[Natun, Natasya Chalista Imanuela]]>;
<![CDATA[Sumarlin, Sumarlin]]>
<![CDATA[ Jurnal Manajamen Informatika Jayakarta Vol 5 No 2 (2025): JMI Jayakarta (April 2025) in press ]]>
Publisher : <![CDATA[Sekolah Tinggi Manajemen Informatika dan Komputer Jayakarta ]]>
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DOI: 10.52362/jmijayakarta.v5i2.1812
<![CDATA[Tutupan lahan adalah representasi visual dari vegetasi, unsur alam, dan elemen buatan di permukaan bumi yang penting dalam perencanaan dan pengembangan wilayah. Di Kabupaten Kupang, perubahan signifikan pada tutupan lahan berdampak pada pengelolaan sumber daya alam dan lingkungan. Penelitian ini bertujuan membandingkan dua metode klasifikasi citra satelit, yaitu Maximum Likelihood Classification sebagai metode supervised dan ISODATA sebagai metode unsupervised, untuk memetakan tutupan lahan menggunakan citra Landsat 9 OLI-2/TIRS-2. Proses klasifikasi menghasilkan delapan kelas tutupan lahan. Untuk memvalidasi hasil klasifikasi, dilakukan verifikasi lapangan (groundcheck) untuk memastikan kesesuaian dengan kondisi di lapangan. Hasil penelitian menunjukkan bahwa dari segi akurasi, metode Supervised Classification pada algoritma MLC memiliki keunggulan dengan nilai akurasi keseluruhan sebesar 96,47%, lebih tinggi dibandingkan metode Unsupervised Classification algoritma ISODATA, yang mencapai 94,2%. Meskipun ISODATA menghasilkan akurasi yang cukup tinggi, metode MLC lebih unggul dalam ketelitian yang lebih baik dalam pemetaan tutupan lahan.]]>
