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All Journal Jurnal Teknologi dan Manajemen Informatika Jurnal TIMES Sinkron : Jurnal dan Penelitian Teknik Informatika METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Jiko (Jurnal Informatika dan komputer) Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Teknik Informatika (JUTIF) Journal of Applied Computer Science and Technology (JACOST) Jurnal Armada Informatika Journal of Artificial Intelligence and Engineering Applications (JAIEA)
Jackri Hendrik
STMIK TIME
Automotive Engineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Engineering

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Perancangan Aplikasi Tes Psikologi Kecerdasan Majemuk Menggunakan Howard Gardner's Theory Of Multiple Intelligences Dengan Microsoft Visual Basic .Net Hendrik, Jackri
Jurnal TIMES Vol 8, No 1 (2019)
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.169 KB)

Abstract

Karyawan memiliki peran yang berbeda di dalam sebuah perusahaan dan saling mengisi kekosongan satu sama lain, sehingga produktivitas kerja dapat tercapai. Masalah yang dihadapi adalah bagaimana memberikan gambaran mengenai potensi kecerdasan karyawan kepada perusahaan sehingga karyawan dapat ditempatkan pada posisi yang tepat. Masalah ini dapat diselesaikan dengan membangun aplikasi tes psikologi kecerdasan majemuk. Kecerdasan majemuk Howard Gardner terdiri atas tujuh jenis kecerdasan, yaitu kecerdasan bahasa (linguistik), kecerdasan logika matematika, kecerdasan musik, kecerdasan kinestetik, kecerdasan visual atau spasial, kecerdasan interpersonal dan kecerdasan intrapersonal. Kecerdasan majemuk dapat memberikan gambaran kecerdasan karyawan kepada pemilik perusahaan, sehingga pemilik perusahaan dapat menempatkan karyawannya pada posisi yang tepat. Aplikasi dapat digunakan untuk memberikan gambaran tipe kecerdasan majemuk dan tipe kecerdasan yang paling dominan berdasarkan pada Howard Gardner's Theory of Multiple Ingelligences, sehingga dapat diimplementasikan pada perusahaan untuk mengetahui potensi kecerdasan karyawan.
Pemanfaatan Sintaks OpenGL dalam Menggambar Obyek Dua Dimensi Hendrik, Jackri; Chandra, Tintin
Jurnal TIMES Vol 4, No 1 (2015)
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (32.477 KB)

Abstract

Next to nothing area none which get out of requirement of graph. Although initially application in science and engineering need equipments which costly enough. With picture prepare will make easier in reading information and also data compared to by reading data manually in a communications of visual. Which one programming of graphical desain is OpenGL. OpenGL accepted to become one of the standard in computer graphic and in this time have implementation in so many computer system.Early graphical programming is turned into text mode is graphical mode by exploiting function of VGA card. Portability of OpenGL as corps of library conducive to be accessed to to through Ianguage of programming by figuring in OpenGL (library in directory of library Ianguage. In making of object two dimension with OpenGL cannot be direct by calling command which have been provided in library, but require to be done by setting used programming. At programming base on doneeasier visual especially at Visual Microsoft C++ 2005, where there is file of glu*.* placed to 3 folder that is in gl folder include, library, and system32. For coloration at object at OpenGL differ from result of yielded graphic of programming of PACK, because at OpengGL exploit colour of RGB ( Red, Green, Blue), also can be made in the form of colour gradation.
Rancang Bangun Sistem Informasi Rekomendasi Berita dan Pembelajaran Budaya di Indonesia Menggunakan Metode Simple Weighted Average (SWA) Jackri Hendrik; Leony Hoki
Jurnal Sistem Komputer dan Informatika (JSON) Vol 3, No 3 (2022): Maret 2022
Publisher : STMIK Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v3i3.3723

Abstract

Culture is a pattern or way of life that continues to develop by a group of people and is passed down to the next generation. A culture is usually passed down from generation to generation to their children and grandchildren with the aim that the culture will still exist and be known by the heirs. In practice, introducing the culture/customs of an area is usually done manually, that is, where the advice will convey cultural information to their children and grandchildren. This manual process is certainly not very effective and efficient because it has a very small range of information so it is difficult to introduce cultural information to all regions in Indonesia. In addition to manually, to obtain cultural information in Indonesia can also be done via the internet such as through the Google website or other applications. However, the drawbacks of existing websites and applications are that they only provide news and cultural information in Indonesia at this time and there is no use of intelligent systems in them such as recommendation systems. Therefore, a research will be conducted to design a website information system for news recommendations and cultural learning by applying the Simple Weighted Average method. The results showed that the application of the Simple Weighted Average method proved to be quite accurate in providing recommendations for news and cultural learning in Indonesia because it was based on rating patterns from other users.
Pemanfaatan Sintaks OpenGL dalam Menggambar Obyek Dua Dimensi Jackri Hendrik; Tintin Chandra
Jurnal TIMES Vol 4 No 1 (2015)
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (32.477 KB)

Abstract

Next to nothing area none which get out of requirement of graph. Although initially application in science and engineering need equipments which costly enough. With picture prepare will make easier in reading information and also data compared to by reading data manually in a communications of visual. Which one programming of graphical desain is OpenGL. OpenGL accepted to become one of the standard in computer graphic and in this time have implementation in so many computer system.Early graphical programming is turned into text mode is graphical mode by exploiting function of VGA card. Portability of OpenGL as corps of library conducive to be accessed to to through Ianguage of programming by figuring in OpenGL (library in directory of library Ianguage. In making of object two dimension with OpenGL cannot be direct by calling command which have been provided in library, but require to be done by setting used programming. At programming base on doneeasier visual especially at Visual Microsoft C++ 2005, where there is file of glu*.* placed to 3 folder that is in gl folder include, library, and system32. For coloration at object at OpenGL differ from result of yielded graphic of programming of PACK, because at OpengGL exploit colour of RGB ( Red, Green, Blue), also can be made in the form of colour gradation.
Perancangan Sistem Penerimaan Karyawan Menggunakan Metode Adaptive Boosting Hendrik, Jackri; Joni; Miharja, Satriya; Wijaya, Edi
Jurnal Armada Informatika Vol 8 No 1 (2024): Jurnal Armada Informatika
Publisher : STMIK Methodist Binjai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36520/jai.v8i1.98

Abstract

Sumber Daya Manusia  merupakan salah satu faktor yang sangat penting dalam suatu perusahaan, maka SDM harus dikelola dengan baik untuk meningkatkan efektivitas dan efesiensi dari perusahaan tersebut. Kinerja didefinisikan sebagai apa yang dilakukan atau tidak dilakukan pegawai.  Kinerja pegawai adalah yang mempengaruhi seberapa banyak mereka memberi kontribusi kepada organisasi. Seleksi atau Selection adalah proses untuk memilih pelamar untuk dijadikan karyawan dan menempatkan mereka pada posisi yang dibutuhkan oleh organisasi. Dengan kata lain, seleksi adalah suatu proses pencocokan kebutuhan dan persyaratan organisasi terhadap keterampilan dan kualifikasi para pelamar kerja.  Aplikasi penerimaan karyawan menerapkan metode Adaptive Boosting untuk membantu pengambilan keputusan terkait diterima atau tidaknya karyawan.
Sistem Pemantauan Kualitas Udara Berbasis IoT di Peternakan Yakin Telur Hendri; Pribadi, Octara; Hendrik, Jackri
METHOMIKA: Jurnal Manajemen Informatika & Komputerisasi Akuntansi Vol. 9 No. 1 (2025): METHOMIKA: Jurnal Manajemen Informatika & Komputersisasi Akuntansi
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/jmika.Vol9No1.pp145-150

Abstract

Air quality in poultry farms plays a crucial role in animal productivity, as poor air quality can increase the risk of disease in chickens, cause stress, and ultimately reduce productivity and egg quality, leading to economic losses for farmers. Laying hens require stable and adequate temperature conditions during their growth period to ensure optimal development. The optimal temperature for laying hens during the brooding period (up to 14 days old) ranges between 30-32°C. A common issue faced by livestock farmers is the lack of adequate facilities to manage stress in livestock, which often hinders their ability to stabilize the air temperature in the chicken coop. Farmers often rely on manual methods to estimate and adjust the temperature inside the coop by feeling the heat, which is neither accurate nor efficient. This research aims to design an IoT-based air quality monitoring system at Yakin Telur Farm. The system is designed to monitor temperature, humidity, and ammonia gas levels in the chicken coop in real-time.
Perancangan Aplikasi Tes Psikologi Kecerdasan Majemuk Menggunakan Howard Gardner's Theory Of Multiple Intelligences Dengan Microsoft Visual Basic .Net Hendrik, Jackri
Jurnal TIMES Vol 8 No 1 (2019)
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (468.169 KB) | DOI: 10.51351/jtm.8.1.2019608

Abstract

Karyawan memiliki peran yang berbeda di dalam sebuah perusahaan dan saling mengisi kekosongan satu sama lain, sehingga produktivitas kerja dapat tercapai. Masalah yang dihadapi adalah bagaimana memberikan gambaran mengenai potensi kecerdasan karyawan kepada perusahaan sehingga karyawan dapat ditempatkan pada posisi yang tepat. Masalah ini dapat diselesaikan dengan membangun aplikasi tes psikologi kecerdasan majemuk. Kecerdasan majemuk Howard Gardner terdiri atas tujuh jenis kecerdasan, yaitu kecerdasan bahasa (linguistik), kecerdasan logika matematika, kecerdasan musik, kecerdasan kinestetik, kecerdasan visual atau spasial, kecerdasan interpersonal dan kecerdasan intrapersonal. Kecerdasan majemuk dapat memberikan gambaran kecerdasan karyawan kepada pemilik perusahaan, sehingga pemilik perusahaan dapat menempatkan karyawannya pada posisi yang tepat. Aplikasi dapat digunakan untuk memberikan gambaran tipe kecerdasan majemuk dan tipe kecerdasan yang paling dominan berdasarkan pada Howard Gardner's Theory of Multiple Ingelligences, sehingga dapat diimplementasikan pada perusahaan untuk mengetahui potensi kecerdasan karyawan.
PERANCANGAN SISTEM INFORMASI GEOGRAFIS DAN DONASI ONLINE PANTI ASUHAN DI KOTA MEDAN MENGGUNAKAN METODE WEBQUAL 4.0 Chandra, Chandra; Hendrik, Jackri
Jurnal TIMES Vol 11 No 1 (2022): Jurnal TIMES
Publisher : STMIK TIME

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51351/jtm.11.1.2022650

Abstract

Seiring berkembangnya zaman, masyarakat semakin sering memanfaatkan internet untuk banyak keperluan. Melalui pemanfaatan internet yang diterapkan dalam teknologi informasi tentunya dapat membuat proses-proses ataupun pekerjaan menjadi lebih mudah, cepat, dan praktis. Penerapan teknologi informasi juga dapat diterapkan dalam berbagai bidang seperti bidang pendidikan, bidang ekonomi, dan juga pada bidang sosial. Bidang sosial yang juga memerlukan penerapan teknologi informasi adalah pada proses donasi online di panti asuhan. Proses penggalangan donasi untuk panti asuhan kebanyakan masih dilakukan secara manual yaitu setiap pemilik panti asuhan harus mengunjungi satu per satu rumah masyarakat yang ada untuk meminta donasi ataupun menunggu para donatur mengunjungi panti asuhan mereka dan memberikan donasi kepada mereka. Permasalahan utama proses donasi secara manual adalah terkait masalah kepercayaan dikarenakan tidak adanya transparansi dan informasi penggunaan donasi tersebut. Oleh karena hal tersebut, maka perlu dibangun sebuah sistem informasi geografis dan donasi online bagi panti asuhan yang mampu mengatasi permasalahan yang telah diuraikan. Pada penelitian ini akan diterapkan metode WebQual 4.0 yaitu metode pengukuran aplikasi berdasarkan Quality Function Deployment (QFD). Hasil akhir penelitian berupa dibangunnya sebuah sistem informasi geografis dan donasi online panti asuhan. Penerapan metode WebQual 4.0 dalam pengukuran kualitas sistem informasi geografis dan donasi online panti asuhan menunjukkan bahwa responden setuju bahwa sistem yang dibangun memenuhi atribut WebQual 4.0 dengan baik.
Detection of Rotten Fruits at Pomona Fruit House Using the Convolutional Neural Network Method Kosasih, Ferly; Hendri; Hendrik, Jackri
Journal of Artificial Intelligence and Engineering Applications (JAIEA) Vol. 5 No. 1 (2025): October 2025
Publisher : Yayasan Kita Menulis

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59934/jaiea.v5i1.1705

Abstract

The growing public awareness of healthy lifestyles has led to an increasing demand for fresh and high-quality fruits. However, during storage and distribution, fruits are prone to spoilage due to environmental and biological factors. The manual identification process of spoiled fruits remains limited in terms of accuracy and efficiency. To address this issue, this study proposes the application of digital image processing technology based on Convolutional Neural Network (CNN) to automatically detect the condition of fruits. This system is designed to assist in quality monitoring at locations such as Rumah Buah Pomona by classifying fresh and spoiled fruits based on their visual features. This solution is expected to improve the effectiveness of fruit distribution and reduce potential losses caused by unfit products.
Multi-Class Brain Tumor Segmentation and Classification in MRI Using a U-Net and Machine Learning Model Hendrik, Jackri; Pribadi, Octara; Hendri, Hendri; Hoki, Leony; Tarigan, Feriani Astuti; Wijaya, Edi; Ali, Rabei Raad
Jurnal Teknik Informatika (Jutif) Vol. 6 No. 5 (2025): JUTIF Volume 6, Number 5, Oktober 2025
Publisher : Informatika, Universitas Jenderal Soedirman

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52436/1.jutif.2025.6.5.5369

Abstract

Brain tumor diagnosis remains a critical challenge in medical imaging, as accurate classification and precise localization are essential for effective treatment planning. Traditional diagnostic approaches often rely on manual interpretation of MRI scans, which can be time-consuming, subjective, and prone to variability across radiologists. To address this limitation, this study proposes a two-stage framework that integrates machine learning (ML) based classifiers for tumor type recognition and a U-Net architecture for tumor segmentation. The classifier was trained to distinguish four tumor categories: glioma, meningioma, pituitary, and no tumor, while the U-Net model was employed to delineate tumor regions at the pixel level, enabling volumetric assessment. The novelty of this research lies in its dual focus that combines classification and segmentation within a single framework, which enhances clinical applicability by offering both diagnostic and spatial insights. Experimental results demonstrated that among the evaluated classifiers, XGBoost achieved the highest accuracy of 86 percent, surpassing other models such as Random Forest, SVC, and Logistic Regression, while the U-Net model delivered consistent segmentation performance across tumor types. These findings highlight the potential of hybrid ML and deep learning solutions to improve reliability, efficiency, and objectivity in brain tumor analysis. In real-world practice, the proposed framework can serve as a valuable decision-support tool, assisting radiologists in early detection, reducing diagnostic workload, and supporting personalized treatment strategies.
Co-Authors Ali, Rabei Raad Chandra Chandra Edi Wijaya ENDRI ENDRI Feriani Astuti Tarigan Fredynand Marcos Haria Wirawan Hendri Hendri Hendri Hendri Hoki, Leony Joni Kosasih, Ferly Leony Hoki Liecero, Marcus Michael Angelo Michelle Francisca Miharja, Satriya Octara Pribadi Robet Robet Tintin Chandra Tintin Chandra Wilson Yehezkiel E.A Parapak