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HUBUNGAN ANTARA KREATIVITAS DENGAN HASIL BELAJAR KOGNITIF SISWA KELAS X IPA BASIC SMA ABC PADA PEMBELAJARAN MATEMATIKA [ON THE RELATIONSHIP BETWEEN CREATIVITY AND COGNITIVE LEARNING OUTCOMES OF GRADE 10 BASIC SCIENCE HIGH SCHOOL STUDENTS IN MATHEMATICS LEARNING] Banjarnahor, Evander; Winardi, Yonathan; Dirgantoro, Kurnia Putri Sepdikasari
JOHME: Journal of Holistic Mathematics Education Vol 2, No 1 (2018): DECEMBER
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/johme.v2i1.1268

Creativity is a very important aspect of learning, including learning mathematics, because creativity helps students in problem solving. This article is an associative quantitative correlational research to determine the relationship between creativity and cognitive learning outcomes of students in grade 10 (basic science track) at a high school in Tangerang. Data collection techniques were carried out by questionnaires and tests. The questionnaire obtained data on the students' creativity and the tests gathered data on the students' cognitive learning outcomes. The results of the study showed that the creativity of the students were categorized as (1) high (14.29%) , (2) quite high at 55.10%, (3) fair (26.53%) and (4) low (4.08 %). For the cognitive learning outcomes, students were categorized as (1) high (44.90%), (2) quite high (28.57%), (3) average (22.45%) and (4) low (4.08%). This study shows that there is a positive and significant association (r = 0.372, p = 0.004) between creativity and cognitive learning outcomes of these grade 10 students presented by the regression equation Y = 9.908 + 0.638 X.BAHASA INDONESIA ABSTRACT: Kreativitas merupakan salah satu aspek yang sangat penting dalam pembelajaran, termasuk dalam pembelajaran matematika, karena kreativitas membantu siswa dalam pemecahan masalah. Artikel ini merupakan suatu penelitian kuantitatif asosiatif korelasional untuk mengetahui ada tidaknya hubungan antara kreativitas dengan hasil belajar kognitif siswa kelas X IPA Basic SMA ABC Tangerang. Teknik pengumpulan data dilakukan dengan angket dan tes. Angket digunakan untuk memperoleh data mengenai kreativitas siswa dan tes untuk memperoleh data mengenai hasil belajar kognitif siswa. Hasil penelitian ini menunjukkan bahwa kreatifitas siswa kelas X IPA Basic SMA ABC Tangerang dapat dikategorikan sebagai (1) tinggi (14,29%), (2) cukup tinggi (55,10%), (3) rata-rata (26,53%) dan (4) rendah (4,08%). Sedangkan hasil belajar kognitif siswa kelas X IPA Basic SMA ABC Tangerang dapat dikategorikan sebagai (1) tinggi (44,90%), cukup tinggi (28,57%), rata-rata (22,45%) (4) rendah (4,08%). Penelitian ini menunjukkan bahwa terdapat asosiasi positif dan signifikan ( r = 0.372, p = 0.004) antara kreativitas dengan hasil belajar kognitif siswa kelas X IPA Basic SMA ABC, yang dinyatakan dengan persamaan regresi.

IMPLEMENTASI MIROKREDENSIAL DI INDONESIA: MENGUKUR PENERIMAAN TEKNOLOGI MAHASISWA [THE IMPLEMENTATION OF MICROCREDENTIALS IN INDONESIA: MEASURING STUDENTS’ TECHNOLOGY ACCEPTANCE] Stefany, Stella; Purba, Herman; Suhendro, Anita; Banjarnahor, Evander
Polyglot Vol 19, No 1 (2023): JANUARY
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/pji.v1i19.6078

AbstractThis study aimed to analyse the main four major components of the Technology Acceptance Model (TAM) in study participants (N = 275). Study participants are students who enrolled in the full online Micro-Credential Developer Program and participated intensively in both synchronous and asynchronous learning activities. Result indicates that perceived ease of use was not directly correlated with participants' behavioural intent to use. It is predicted that the LMS used did not match the course’s characteristics, there still is much room for improvement in the learning design, and the pre-training of students before the program is implemented needs to be significantly improved. The study also presents a comparison of findings on student acceptance of technology in micro-credential programs conducted in various other countries. Bahasa Indonesia Abstrak Penelitian ini menganalisa 4 elemen utama dalam Technology Acceptance Model (TAM) pada sampel mahasiswa (N-275) yang mengikuti Program Mikro Kredensial Game Developer secara intensif dengan moda pembelajaran full daring secara sinkronus maupun asinkronus. Hasil penelitian menunjukkan Perceived Ease of Use tidak memberikan pengaruh langsung terhadap Behavioural Intention to Use dari responden. Hal ini diduga karena kurangnya tepatnya pemilihan LMS yang digunakan, rancangan pembelajaran yang masih harus ditingkatkan serta kurangnya pelatihan yang diberikan oleh penyelenggara kepada responden sebelum Program ini berlangsung. Penelitian ini juga menyajikan perbandingan hasil kajian penerimaan teknologi mahasiswa dalam program mikro kredensial yang dilakukan di berbagai negara lain.

Analisis Average Waiting Time Penjadwalan CPU Menggunakan Algoritma Shortest Remaining First dan Algoritma Round Robin Belferik, Ronald; Banjarnahor, Evander
JDMIS: Journal of Data Mining and Information Systems Vol. 3 No. 1 (2025): February 2025
Publisher : Yayasan Pendidikan Penelitian Pengabdian Algero

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54259/jdmis.v3i1.4076

In operating systems, process scheduling is a critical aspect to determine the order of process execution by the CPU. This research compares the average waiting time (AWT) of Shortest Remaining First (SRF) algorithm and Round Robin (RR) algorithm where the problem to be solved is CPU scheduling. The purpose of this research is to get an algorithm that has a short average waiting time. The test results obtained that the SRF algorithm has a very short average waiting time with a value of 29.85 ms compared to the RR algorithm which gets an AWT result of 65.6 ms.

ANALISIS IMPLEMENTASI SUPPORT VECTOR MACHINE DAN RANDOM FOREST UNTUK PREDIKSI KATEGORI INDEKS KUALITAS UDARA JAKARTA Banjarnahor, Evander; Belferik, Ronald; Cendana, Wiputra; Abraham, Yohanes Adi Saputra
Jurnal INSTEK (Informatika Sains dan Teknologi) Vol 10 No 1 (2025): APRIL
Publisher : Department of Informatics Engineering, Faculty of Science and Technology, Universitas Islam Negeri Alauddin, Makassar, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24252/instek.v10i1.56477

Kualitas udara yang buruk di Jakarta berdampak signifikan terhadap kesehatan masyarakat dan lingkungan. Oleh karena itu, diperlukan metode prediksi untuk membantu pengambilan kebijakan mitigasi polusi udara. Penelitian ini memprediksi kategori indeks kualitas udara dengan metode Support Vector Machine (SVM) dan Random Forest menggunakan data polutan (PM10, PM2.5, SO₂, CO, O₃, NO₂) dari Kaggle tahun 2021, meliputi PM10, PM2.5, SO2, CO, O3, dan NO2. Analisis korelasi menunjukkan bahwa PM10 dan PM2.5 memiliki hubungan yang sangat kuat (r = 0.96), menandakan keterkaitan erat dalam menentukan tingkat polusi udara. SVM dan Random Forest disimulasikan dengan berbagai rasio pembagian data latih dan uji (10:90, 15:85, 20:80, 25:75, dan 30:70), serta menggunakan stratified k-fold cross-validation untuk meningkatkan validitas hasil dan mengurangi potensi overfitting. Hasil evaluasi menunjukkan bahwa kedua model memberikan performa yang sangat baik dengan akurasi lebih dari 97% pada seluruh skenario pembagian data. Random Forest mencapai akurasi maksimum 100% pada rasio 15:85, sementara SVM mencatatkan akurasi tertinggi 98,9% pada rasio 25:75. Hasil cross-validation menunjukkan bahwa Random Forest mencapai akurasi 100% pada simulasi menggunakan 5-folds, dengan nilai presisi, recall, dan F1-score yang juga 100%. Di sisi lain SVM menunjukkan akurasi sedikit lebih rendah yaitu 97,30% namun lebih konsisten dengan standar deviasi 2,50%.

HUBUNGAN ANTARA KREATIVITAS DENGAN HASIL BELAJAR KOGNITIF SISWA KELAS X IPA BASIC SMA ABC PADA PEMBELAJARAN MATEMATIKA [ON THE RELATIONSHIP BETWEEN CREATIVITY AND COGNITIVE LEARNING OUTCOMES OF GRADE 10 BASIC SCIENCE HIGH SCHOOL STUDENTS IN MATHEMATICS LEARNING] Banjarnahor, Evander; Winardi, Yonathan; Dirgantoro, Kurnia Putri Sepdikasari
JOHME: Journal of Holistic Mathematics Education Vol. 2 No. 1 (2018): DECEMBER
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/johme.v2i1.1268

Creativity is a very important aspect of learning, including learning mathematics, because creativity helps students in problem solving. This article is an associative quantitative correlational research to determine the relationship between creativity and cognitive learning outcomes of students in grade 10 (basic science track) at a high school in Tangerang. Data collection techniques were carried out by questionnaires and tests. The questionnaire obtained data on the students' creativity and the tests gathered data on the students' cognitive learning outcomes. The results of the study showed that the creativity of the students were categorized as (1) high (14.29%) , (2) quite high at 55.10%, (3) fair (26.53%) and (4) low (4.08 %). For the cognitive learning outcomes, students were categorized as (1) high (44.90%), (2) quite high (28.57%), (3) average (22.45%) and (4) low (4.08%). This study shows that there is a positive and significant association (r = 0.372, p = 0.004) between creativity and cognitive learning outcomes of these grade 10 students presented by the regression equation Y = 9.908 + 0.638 X.BAHASA INDONESIA ABSTRACT: Kreativitas merupakan salah satu aspek yang sangat penting dalam pembelajaran, termasuk dalam pembelajaran matematika, karena kreativitas membantu siswa dalam pemecahan masalah. Artikel ini merupakan suatu penelitian kuantitatif asosiatif korelasional untuk mengetahui ada tidaknya hubungan antara kreativitas dengan hasil belajar kognitif siswa kelas X IPA Basic SMA ABC Tangerang. Teknik pengumpulan data dilakukan dengan angket dan tes. Angket digunakan untuk memperoleh data mengenai kreativitas siswa dan tes untuk memperoleh data mengenai hasil belajar kognitif siswa. Hasil penelitian ini menunjukkan bahwa kreatifitas siswa kelas X IPA Basic SMA ABC Tangerang dapat dikategorikan sebagai (1) tinggi (14,29%), (2) cukup tinggi (55,10%), (3) rata-rata (26,53%) dan (4) rendah (4,08%). Sedangkan hasil belajar kognitif siswa kelas X IPA Basic SMA ABC Tangerang dapat dikategorikan sebagai (1) tinggi (44,90%), cukup tinggi (28,57%), rata-rata (22,45%) (4) rendah (4,08%). Penelitian ini menunjukkan bahwa terdapat asosiasi positif dan signifikan ( r = 0.372, p = 0.004) antara kreativitas dengan hasil belajar kognitif siswa kelas X IPA Basic SMA ABC, yang dinyatakan dengan persamaan regresi.

IMPLEMENTASI MIROKREDENSIAL DI INDONESIA: MENGUKUR PENERIMAAN TEKNOLOGI MAHASISWA [THE IMPLEMENTATION OF MICROCREDENTIALS IN INDONESIA: MEASURING STUDENTS’ TECHNOLOGY ACCEPTANCE] Stefany, Stella; Purba, Herman; Suhendro, Anita; Banjarnahor, Evander
Polyglot Vol 19 No 1 (2023): JANUARY
Publisher : Universitas Pelita Harapan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.19166/pji.v1i19.6078

AbstractThis study aimed to analyse the main four major components of the Technology Acceptance Model (TAM) in study participants (N = 275). Study participants are students who enrolled in the full online Micro-Credential Developer Program and participated intensively in both synchronous and asynchronous learning activities. Result indicates that perceived ease of use was not directly correlated with participants' behavioural intent to use. It is predicted that the LMS used did not match the course’s characteristics, there still is much room for improvement in the learning design, and the pre-training of students before the program is implemented needs to be significantly improved. The study also presents a comparison of findings on student acceptance of technology in micro-credential programs conducted in various other countries. Bahasa Indonesia Abstrak Penelitian ini menganalisa 4 elemen utama dalam Technology Acceptance Model (TAM) pada sampel mahasiswa (N-275) yang mengikuti Program Mikro Kredensial Game Developer secara intensif dengan moda pembelajaran full daring secara sinkronus maupun asinkronus. Hasil penelitian menunjukkan Perceived Ease of Use tidak memberikan pengaruh langsung terhadap Behavioural Intention to Use dari responden. Hal ini diduga karena kurangnya tepatnya pemilihan LMS yang digunakan, rancangan pembelajaran yang masih harus ditingkatkan serta kurangnya pelatihan yang diberikan oleh penyelenggara kepada responden sebelum Program ini berlangsung. Penelitian ini juga menyajikan perbandingan hasil kajian penerimaan teknologi mahasiswa dalam program mikro kredensial yang dilakukan di berbagai negara lain.

The Effectiveness of Sixth Grade Math in Focus Curriculum for Indonesian Christian Schools Students Tia Aulia Putri Sadeva; Sylvia Primulawati; Robert Harry Soesanto; Evander Banjarnahor
Didaktika: Jurnal Kependidikan Vol. 14 No. 2 Mei (2025): Didaktika Jurnal Kependidikan
Publisher : South Sulawesi Education Development (SSED)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58230/27454312.2025

Math In Focus as a curriculum program is based on the Singaporean mathematics framework. However, it has been adjusted for U.S. classrooms by Great Source & Hougton Mifflin Harcourt publisher. This curriculum program was also used by a Christian school in Jakarta, Indonesia that has predominantly Indonesian students whose mother tongue was Indonesian language. Thus, the purpose of this study is to evaluate the effectiveness of Math In Focus curriculum program that was used in a Christian school in Jakarta, Indonesia, particularly in Grade VI. This research used a case study research methodology. The techniques of data collection used were questionnaire, interview, and observation. The results showed that the accuracy of the target was highly effective (81.5%), the aims of the program was also highly effective (82.5%), the socialization of the program was effective (71.5%), and the supervision of the program was also effective enough (70.5%). It can be concluded that Math In Focus curriculum program was effective enough (76.5%) for Indonesian Christian students in sixth grade although English is not their mother tongue. The other findings in this research were the supported and inhibited factors of the effectiveness.

Pelatihan SAP Analytics Cloud dan Pengenalan Canva di SLB Karya Murni Medan Jepronel Saragih; Ronald Belferik; Evander Banjarnahor
ABDIKAN: Jurnal Pengabdian Masyarakat Bidang Sains dan Teknologi Vol. 4 No. 4 (2025): November 2025
Publisher : Yayasan Literasi Sains Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55123/abdikan.v4i4.6853

This community service activity is a collaborative initiative between Universitas Pelita Harapan and SLB Karya Murni Medan, aimed at enhancing digital literacy and technology skills among deaf students. The program focuses on two main areas: Data Science training using SAP Analytics Cloud (SAC) and digital banner and poster design training using Canva. In the SAC training, participants were introduced to fundamental concepts of data analytics, data modeling, data exploration, information visualization, and key features such as Smart Discovery, Designer Mode, and Data Explorer Mode. A COVID-19 dataset was used as a case study to help students understand basic data analysis processes, including how to build models, run simple machine learning algorithms, and generate interactive dashboards. All materials were designed using visual, demonstrative, and applicative approaches to ensure accessibility for students with special needs and to support a gradual learning process. In addition, the Canva training was provided to foster students’ creativity in creating informative and visually appealing digital banners and posters. The results of the program show that the students were able to create simple data models, understand basic visualizations, and produce digital design works. This program provides a meaningful contribution to the empowerment of inclusive education and strengthens sustainable collaboration between academic institutions and special education schools.

Classifying Job-Posting Wage Compliance Using Machine Learning: A Comparative Study of Random Forest and Support Vector Machine Algorithms Tiffany Phylicia; Alyssa Christiana Lin; Glaudio Hiewen Tjongdro; Dylan Rael Andrew Bojoh; Evander Banjarnahor
Journal of Vocational, Informatics and Computer Education Vol 4, No 2 (2026): June 2026
Publisher : Academic Bright Collaboration

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.66053/voice.v4i2.649

Purpose – This study examines wage compliance in online job postings by classifying posted salaries relative to the 2025 DKI Jakarta Provincial Minimum Wage (UMP). It aims to describe below-threshold salary postings and evaluate how salary-range variables affect machine-learning classification. Methods – A raw dataset of 1,221 job postings was collected from Loker.id on October 5, 2025. After removing duplicates, missing values, and salary outliers, the final dataset consisted of 1,143 postings. The target variable was constructed by comparing the mean posted salary range with the UMP threshold. Random Forest and Support Vector Machine (SVM) were evaluated under two scenarios: with and without salary-range variables. Performance was assessed using accuracy, balanced accuracy, F1-score, confusion matrices, and a majority-class baseline. Findings – The descriptive results show that 798 postings, or 69.82%, were classified as Below UMP Jakarta, while 345 postings, or 30.18%, were classified as Meets/Exceeds UMP Jakarta. With salary features included, Random Forest achieved 0.9446 test accuracy and SVM achieved 0.9592. Without salary features, performance declined to 0.7318 for Random Forest and 0.6968 for SVM, with the latter close to the majority-class baseline of 0.6982. Research implications – The findings suggest that the descriptive contribution of this study is stronger than its predictive contribution. Salary-range variables strongly influence classification performance because they are directly related to the construction of the target label. Therefore, machine-learning results should be interpreted cautiously and should not be treated as evidence of robust wage-compliance prediction from broader HR attributes alone. Originality – This study contributes to online labor-market analysis by combining descriptive wage-compliance evidence with an explicit feature-scenario comparison. By evaluating models with and without salary-range variables, the study highlights the importance of addressing threshold-related leakage in job-posting salary classification.

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