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SISTEM PENGENDALIAN INTERNAL PERSEDIAAN OBAT DI DINAS KESEHATAN PROVINSI SUMATERA UTARA DENGAN METODE PERIOD ORDER QUANTITY (POQ) Indrayana Siboro; Humuntal Rumapea; Edward Rajagukguk
Majalah Ilmiah METHODA Vol. 8 No. 2 (2018): Majalah Ilmiah METHODA
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methoda.Vol8No2.pp1-10

Masalah pengendalian persediaan merupakan salah satu masalah yang penting yang dihadapi oleh perusahaan. Persediaan yang terlalu besar ataupun terlalu kecil dapat menimbulkan masalah dalam perusahaan. Kekurangan persediaan akan mengakibatkan proses produksi terhambat. Sehingga permintaan konsumen tidak dapat dipenuhi pada waktu yang tepat. Sedangkan persediaan yang berlebihan atau terlalu banyak akan menimbulkan biaya ekstra disamping resiko yang dihadapi perusahaan. Sehingga dapat dikatakan bahwa manajemen persediaan yang efektif sangat mempengaruhi proses produksi. Metode Period Order Quantity (POQ) menggunakan pendekatan pada konsep jumlah pemesanan yang dipakai pada setiap periode yang bersifat permintaan diskrit atau beragam. Perhitungan metode period order quatity (poq) menggunakan dasar pemesanan ekonomis yang nantinya akan digunakan sebagai data pendukung untuk menghitung interval pemesanan yang optimal. Serta dalam memperkirakan ketersediaan stok selanjutnya di gunakan peramalan Trend Linear, yang dapat mencegah pembelian stok obat yang berlebihan.

PENYULUHAN TEKNOLOGI INFORMASI DAN KOMUNIKASI BAGI SISWA-SISWI PADA SMA GKPI PADANG BULAN MEDAN Larosa, Fati Gratianus Nafiri; Rumapea, Humuntal; Manalu, Darwis Robinson; Maslan, Jhoni; Rumapea, Sri Agustina; Sarkis, Indra M.; Hasibuan, Doli; Rumapea, Yolanda Y. P.; Rajagukguk, Edward; Gea, Asaziduhu; Silalahi, Arina Prima; Samosir, Nettina; Aritonang, Mendarissan; Lumbanraja, Posma; Purba, Mufria J.
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 3 No 1 (2023): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol3No1.pp66-70

Information technology plays a very important role in the world of education, especially when blended learning is carried out, where there is a combination of face-to-face and virtual meetings. In addition, Blended Learning is a part or element of social interaction that grows and develops among students. Face-to-face meetings prioritize direct interaction both gestures or body language, voice intonation and eye gaze. There is strong information technology support that bridges interpersonal interactions, so this also influences the interactions between teachers/educators and students. Practical, eye-catching and easy to carry around, making Laptops or Smartphones a very popular Information and Communication Technology product, Blended Learning is no exception. The applications used are also very easy to install and some are even free, for example Kahoot!, Quizizz, Padlet and Canva.

Penerapan Metode Support Vector Machine untuk Pengenalan Pola Aksara Batak Toba Panjaitan, Efdi Sarjono; Rumapea, Humuntal; Jaya, Indra Kelana
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2(SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akunt
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp49-55

The usage of the Batak Toba script has declined, and its complex forms pose challenges in pattern recognition. This study employs the Support Vector Machine (SVM) method to classify Batak Toba script patterns, utilizing a Histogram of Oriented Gradients (HOG) as a feature extraction technique. The data used comes from various sources, totaling 285 script images. After preprocessing, SVM was applied to separate characters into two main classes, which were further subdivided into subclasses until final classification was achieved. The results show that the combination of HOG and SVM can classify Batak Toba script characters with an accuracy of 89,47%. This research makes a significant contribution to the preservation of the Batak Toba script and has broader potential applications in pattern recognition and image classification.

PEMANFAATAN GOOGLE EARTH ENGINE DAN ALGORITMA RANDOM FOREST UNTUK PEMETAAN LAHAN PERKEBUNAN JERUK Dian Agaventa, Chrissandro; Rumapea, Humuntal; Indra Kelana Jaya
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 11 No. 2 (2025): Volume 11 Nomor 2 Tahun 2025
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v11i2.4078

This study employed Google Earth Engine (GEE) and the Random Forest algorithm to map citrus plantations in Silimakuta District, Simalungun Regency, North Sumatra. As a major citrus production center—reaching 840,000 quintals in 2023—the region faces challenges in producing accurate and efficient maps of plantation distribution. By processing Sentinel-2 and Sentinel-1 satellite imagery in GEE, this study provides a more detailed and reliable mapping solution. The Random Forest model achieved a land-cover classification accuracy of 97% and a Kappa coefficient of 96.3%, demonstrating the method’s effectiveness for land mapping. This approach can overcome existing limitations in land data and deliver visual information useful for increasing citrus plantation productivity in the region. Therefore, the combined use of Google Earth Engine and the Random Forest algorithm shows strong potential to support more optimal and sustainable land management.

PENYULUHAN TEKNOLOGI INFORMASI DAN KOMUNIKASI BAGI SISWA-SISWI PADA SMA GKPI PADANG BULAN MEDAN Larosa, Fati Gratianus Nafiri; Rumapea, Humuntal; Manalu, Darwis Robinson; Maslan, Jhoni; Rumapea, Sri Agustina; Sarkis, Indra M.; Hasibuan, Doli; Rumapea, Yolanda Y. P.; Rajagukguk, Edward; Gea, Asaziduhu; Silalahi, Arina Prima; Samosir, Nettina; Aritonang, Mendarissan; Lumbanraja, Posma; Purba, Mufria J.
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 3 No 1 (2023): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol3No1.pp66-70

Information technology plays a very important role in the world of education, especially when blended learning is carried out, where there is a combination of face-to-face and virtual meetings. In addition, Blended Learning is a part or element of social interaction that grows and develops among students. Face-to-face meetings prioritize direct interaction both gestures or body language, voice intonation and eye gaze. There is strong information technology support that bridges interpersonal interactions, so this also influences the interactions between teachers/educators and students. Practical, eye-catching and easy to carry around, making Laptops or Smartphones a very popular Information and Communication Technology product, Blended Learning is no exception. The applications used are also very easy to install and some are even free, for example Kahoot!, Quizizz, Padlet and Canva.

PEMANFAATAN GOOGLE EARTH ENGINE DAN ALGORITMA RANDOM FOREST UNTUK PEMETAAN LAHAN PERKEBUNAN JERUK Dian Agaventa, Chrissandro; Rumapea, Humuntal; Indra Kelana Jaya
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 11 No. 2 (2025): Volume 11 Nomor 2 Tahun 2025
Publisher : Universitas Methodist Indonesia

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

This study employed Google Earth Engine (GEE) and the Random Forest algorithm to map citrus plantations in Silimakuta District, Simalungun Regency, North Sumatra. As a major citrus production center—reaching 840,000 quintals in 2023—the region faces challenges in producing accurate and efficient maps of plantation distribution. By processing Sentinel-2 and Sentinel-1 satellite imagery in GEE, this study provides a more detailed and reliable mapping solution. The Random Forest model achieved a land-cover classification accuracy of 97% and a Kappa coefficient of 96.3%, demonstrating the method’s effectiveness for land mapping. This approach can overcome existing limitations in land data and deliver visual information useful for increasing citrus plantation productivity in the region. Therefore, the combined use of Google Earth Engine and the Random Forest algorithm shows strong potential to support more optimal and sustainable land management.

Penerapan Metode Support Vector Machine untuk Pengenalan Pola Aksara Batak Toba Efdi Sarjono Panjaitan; Humuntal Rumapea; Indra Kelana Jaya
TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akuntansi Vol 4 No 2 (SEMNASTIK) (2024): TAMIKA: Jurnal Tugas Akhir Manajemen Informatika & Komputerisasi Akun
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/tamika.Vol4No2(SEMNASTIK).pp49-55

The usage of the Batak Toba script has declined, and its complex forms pose challenges in pattern recognition. This study employs the Support Vector Machine (SVM) method to classify Batak Toba script patterns, utilizing a Histogram of Oriented Gradients (HOG) as a feature extraction technique. The data used comes from various sources, totaling 285 script images. After preprocessing, SVM was applied to separate characters into two main classes, which were further subdivided into subclasses until final classification was achieved. The results show that the combination of HOG and SVM can classify Batak Toba script characters with an accuracy of 89,47%. This research makes a significant contribution to the preservation of the Batak Toba script and has broader potential applications in pattern recognition and image classification.

Pelatihan Desain UI/UX Menggunakan Figma pada SMA PGRI Siborongborong Samuel V. B. Manurung; Mufria J. Purba; Humuntal Rumapea; Darwis Robinson Manalu; Sri Agustina Rumapea; Indra M. Sarkis S.; Jimmy F. Naibaho; Yolanda Y. P. Rumapea; Arina Prima Silalahi; Agus Syahputra
Jurnal Pengabdian Pada Masyarakat METHABDI Vol 6 No 1 (2026): Jurnal Pengabdian Pada Masyarakat METHABDI
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/methabdi.Vol6No1.pp13-17

This Community Service Program (PKM) aimed to enhance students’ digital literacy and skills through UI/UX design training using the Figma application for students of SMA PGRI Siborongborong, Tapanuli Utara Regency, North Sumatra. This activity represents the implementation of the Tri Dharma of Higher Education by the Faculty of Computer Science, Universitas Methodist Indonesia Medan, in the form of knowledge and technology transfer to secondary education institutions.The training was conducted over two days using a combination of lectures, demonstrations, and hands-on practice in designing mobile-based application interfaces. The materials covered included an introduction to digital application concepts, the fundamentals of User Interface (UI) and User Experience (UX), and the utilization of key features in Figma to design simple application prototypes. The results indicated that participants were able to understand basic UI/UX concepts and independently produce application interface designs. The students’ enthusiasm and active participation throughout the program reflected a strong interest in developing digital design skills. This activity contributed positively to improving students’ information technology competencies while strengthening collaboration between the university and the school as a community service partner.

LEXICON BASED ANALISIS DAN RANDOM FOREST TERHADAP ISU POLITIK DINASTI INDONESIA PADA APLIKASI X Humuntal Rumapea; Krisna Diva; Harlen Gilbert Simanullang
METHODIKA: Jurnal Teknik Informatika dan Sistem Informasi Vol. 12 No. 1 (2026): Volume 12 Nomor 1 Tahun 2026
Publisher : Universitas Methodist Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46880/mtk.v12i1.4700

Dynastic politics in Indonesia remains a widely discussed issue, eliciting diverse public opinions ranging from support as a political right to criticism of democratic quality, with social media, particularly the X platform, serving as an important venue for public sentiment analysis. This study employs a combination of the Lexicon Based method using the InSet Lexicon and the Random Forest algorithm to analyze public sentiment on dynastic politics. The dataset consists of 1,593 tweets collected from August 1 to December 24, 2024, which underwent text preprocessing, labeling into three sentiment categories: positive, negative, and neutral, and word weighting using TF-IDF. The methodology includes splitting the data into training and testing sets with an 80:20 ratio, applying undersampling on the training data to balance class distribution, and training a Random Forest model with 100 decision trees and a maximum depth of 5 per tree, based on the entropy criterion. Evaluation results show that the model successfully classifies public sentiment with an accuracy of 89%, precision of 82%, recall of 81%, and f1-score of 81%.

Pemutakhiran Data Sinta Dalam Rangka Penilaian Kinerja Ilmiah Dosen Universitas Methodist Indonesia Harianja, Eva J.G; Rumapea, Humuntal; Hutapea, Jhon M; Hutapea, Marlina; Hutapea, Melanthon; Sembiring, Milisi; Simamora, Indra S; Gea, Asa Z; Sitinjak, Vivi
Jurnal Pengabdian Masyarakat Nauli Vol. 1 No. 2 (2023): Februari, Jurnal Pengabdian Masyarakat Nauli
Publisher : Marcha Institute

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

Kegiatan Penelitian dan Pengabdian pada masyarakat merupakan bentuk tridharma seorang dosen. Hasil dari kegiatan penelitian dan pengabdian pada masyarakat tersebut dapat dituangkan ke bentuk karya ilmiah dan dipublikasi dalam bentuk jurnal. Lembaga Penelitian dan Pengabdian Masyarakat (LPPM) perlu melakukan monitoring dalam rangka penilaian kinerja ilmiah dosen di lingkungan kerja kampus melalui aplikasi SINTA. Dengan demikian diharapkan dosen-dosen pada lingkungan kerja kampus dapat melakukan pemutakhiran data pada aplikasi SINTA. Pada aktivitas pengabdian kali ini tim melakukan pendampingan kepada sesama dosen Universitas Methodist Indonesia di Fakultas Ekonomi, Fakultas Ilmu Komputer dan Fakultas Sastra dalam melakukan pemuktahiran data SINTA yang meliputi penelitian dan pengabdian dengan melakukan update profil Author SINTA masing-masing dosen berdasarkan surat edaran Direktur Riset sehubungan dengan akan dilaksanakannya klasterisasi Perguruan Tinggi berbasis penelitian dan pengabdian kepada masyarakat.

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