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All Journal Jurnal Edik Informatika : Penelitian Bidang Komputer Sains dan Pendidikan Informatika Wikrama Parahita : Jurnal Pengabdian Masyarakat JURNAL ILMIAH INFORMATIKA Journal Information System Development MATAPPA: Jurnal Pengabdian Kepada Masyarakat Jurnal Teknik Informatika UNIKA Santo Thomas Computer Based Information System Journal Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Tekinkom (Teknik Informasi dan Komputer) MEANS (Media Informasi Analisa dan Sistem) Akrab Juara : Jurnal Ilmu-ilmu Sosial Innovation in Research of Informatics (INNOVATICS) Ar-Rasyid: Jurnal Pendidikan Agama Islam Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Puan Indonesia Jurnal Sains Informatika Terapan (JSIT) Engineering and Technology International Journal (EATIJ) Jurnal PADI (Pengabdian mAsyarakat Dosen Indonesia) Jurnal Desain dan Analisis Teknologi JURSIMA Jurnal Sistem Informasi dan Manajemen Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Simanjuntak, Pastima
Universitas Putera Batam
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Analisis Kualitas Perbandingan Citra Dengan Metode Segmentasi Citra Pangaribuan, Hotma; Simanjuntak, Pastima
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 6 No. 2 : Tahun 2021
Publisher : LPPM UNIKA Santo Thomas

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (425.796 KB) | DOI: 10.54367/jtiust.v6i2.1470

Abstract

-Citra digital merupakan gambaran yang jelas dari objek yang dapat diolah dengan komputer. Semakin besar ukuran (pixel) citra akan membutuhkan tempat penyimpanan yang besar pula. Dasar pengolahan citra yang dilakukan dalam penelitian ini terletak pada proses segmentasi pengolahan citra. Hal yang perlu dipertimbangkan adalah objek dari citra abu abu yang akan diidentifikasi. Proses pengolahan citra melibatkan beberapa proses mulai dari akuisisi citra, preprocessing dan proses pengolahan citra sampai hasilnya. Preprocessing dilakukan untuk proses segmentasi yaitu dengan mengubah citra menjadi citra grayscale, dan kemudian diubah menjadi citra hitam putih. Dalam setiap proses dilakukan padding haar untuk mengurangi ukuran (size on disk) dengan matriks Ukuran 8x8. Dan juga dilakukan proses dilasi dan opening untuk membuat objek terlihat jelas sertamenghaluskan permukaan untuk menghilangkan noise. Nilai GCE dan MSE yang dihasilkan dari ketiga ekstensi tersebut juga relatif kecil, mendekati 0. Ini menandakan citra hasil segmentasi memiliki nilai kesamaan yang yang besar dengan citra aslinya. Setelah dilakukan Analisa perbandingan maka dapat diambil kesimpulan citra yang paling berkualitas
Implementasi Augmented Reality Sebagai Media Pembelajaran Mengenal Tanaman Hias Berbasis Android Tarigan, Armando Muhsirada; Simanjuntak, Pastima
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 1 : Tahun 2023
Publisher : LPPM UNIKA Santo Thomas

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Abstract

Program ini dimaksudkan untuk memberi manfaat kepada masyarakat dan berguna dalam melakukannya dirilis sebagai media interaktif yang menampilkan berbagai jenis daun tanaman 3D. Pada tahap aplikasi, kami mulai dengan mengedukasi masyarakat tentang tanaman dedaunan, seperti pengecer tanaman, dan berencana menyiapkan keadaan penting, seperti perangkat lunak yang akan digunakan, seperti Unity dan Blender. Pada saat membangun aplikasi, digunakan desain sistem sebagai contoh, dan implementasi sistem merupakan langkah terakhir dalam proses pembuatan aplikasi berupa aplikasi Android. Eksperimen diperlukan untuk melihat apakah aplikasi yang dihasilkan cocok untuk tujuan Anda. Aspek pengujian aplikasi meliputi aspek fungsional, yaitu pengujian yang mencoba menginstal aplikasi pada perangkat Android, dan fungsionalitas aplikasi setelah instalasi. Aspek kinerja merupakan pengujian yang mengkaji ukuran file aplikasi dan kinerja sistem saat digunakan pada perangkat Android.
DATA MINING ALGORITMA APRIORI MENENTUKAN PEMBELIAN MATERIAL KONSTRUKSI BANGUNAN Simanjuntak, Pastima; Handoko, Koko; Elisa, Erlin; Suharyanto, Cosmas Eko
Jurnal Teknik Informatika UNIKA Santo Thomas Vol 8 No. 2 : Tahun 2023
Publisher : LPPM UNIKA Santo Thomas

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Abstract

In Indonesia, several different types of construction materials are extensively utilized, particularly for houses or structures and other infrastructure sectors. Building materials might be constructed of metal/iron, wood, concrete, or reinforced concrete. Houses, buildings, or all facilities, equipment, or infrastructure such as bridges, road construction, and telecommunications facilities are commonly referred to as structures. Material is extremely significant in deciding project costs. Due to a lack of effective planning and control during the construction implementation stage, the usage of materials in the field frequently results in huge volumes of material remaining, hence measures to limit material waste are critical to implement. The goal of this research is to choose building materials. This study uses a data mining technique with an a priori algorithm and the results of this study can be utilized to see consumer selection patterns to boost product sales, as well as the subsequent decisions to enhance product sales, as well as see the resulting decision to assist in the selection of building construction materials in the City of Batam.
DISPLAYING SOCIAL MEDIA ADS DI PKBM SAHABAT CENDIKIA Handoko, Koko; Simanjuntak, Pastima; Elisa, Erlin; Zetli, Sri
PUAN INDONESIA Vol. 7 No. 1 (2025): Jurnal PUAN Indonesia Vol. 7 No. 1 Juli 2025
Publisher : ASOSIASI IDEBAHASA KEPRI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37296/jpi.v7i1.393

Abstract

The purpose of this Community Service is to see how PKBM Sahabat Cendikia uses social media advertising to increase the visibility of the institution and increase community participation in non-formal education programs. In today's internet era, using social media is one of the effective ways to reach a larger audience, especially the younger generation who are active on websites such as Facebook and Instagram. This service uses a qualitative descriptive approach and data collection through documentation, interviews, and observations. The service shows that displaying social media ads increases the number of students and improves the reputation of the institution in the community. Visual ad design, frequency of display, and audience segmentation are important components that determine the effectiveness of a digital campaign. These findings are expected to be a reference for other non-formal educational institutions to use social media wisely to promote themselves.
Analisis Diagnosis Tingkat Kesehatan Mental Dengan Teknik Klasifikasi Algoritma C4.5 Erlin Elisa; Maslan, Andi; Simanjuntak, Pastima
Prosiding Vol 7 No 1 (2025): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v7i1.10726

Abstract

Mental health has become an increasingly important issue amid the growing pressures of modern life, particularly in the workplace. Job demands, performance targets, and the dynamics of social relationships at work can trigger stress that negatively affects employee productivity and well-being. However, low awareness and social stigma surrounding mental health issues often result in stress going undetected at an early stage. This study aims to identify employee stress levels at a company in Batam City using a data mining approach. Data were collected through the distribution of questionnaires based on the DASS-21 (Depression Anxiety Stress Scales), which measures three main aspects: stress, anxiety, and depression. The data were analyzed using the Python programming language, with stages including preprocessing, transformation of scale values into numerical form, and the construction of a classification model using the C4.5 algorithm (Decision Tree Classifier). The results showed that the classification model was able to identify stress levels with an accuracy of 67%. The best performance was observed in the moderate stress class (class 1), with a precision value of 0.71 and a recall of 0.79. In contrast, the classification performance for minority classes such as no stress (class 0) and severe stress (class 2) was relatively low. These findings suggest that the C4.5 algorithm is reasonably effective in recognizing dominant stress patterns but requires further data processing and class-balancing techniques to improve overall model performance. This study is expected to serve as a foundation for early detection and more accurate handling of workplace stress
Perancangan Teknologi Augmented Reality Pengenalan Produk Skincare Pastima Simanjuntak; Sri Zetli
Prosiding Vol 7 No 1 (2025): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v7i1.10746

Abstract

Skincare products have an important role in facial care because they contain active ingredients that function to overcome various skin problems such as acne, black spots, blackheads, and excess oil. However, in Batam City, the number of skincare products that enter without verification of eligibility raises trade and consumer trust issues. Consumers need tools to understand and choose the right products. The purpose of the research is to design and develop an Augmented Reality (AR) based application to introduce skincare products in Batam City through Android devices, in order to facilitate consumers in visualizing and obtaining information about products in a more interactive and real way. The methodology used in this research involves application development using the Unity platform and Vuforia Engine with the target Android platform. The technology applied is marker-based Augmented Reality, where the implementation process includes 3D modeling of skincare products, integrating product-related information such as functions, how to use, and side effects, and using markers-such as those found in brochures or product catalogs-as a trigger for displaying objects and information in the form of Augmented Reality visuals. The result of the research is an AR application that successfully displays 3D objects of skincare products accompanied by descriptive information. This application runs on Android devices and provides a more real product visualization experience and supports consumer understanding of skincare products.
Co-Authors Abimayu, Fajri Ade Novit Syahputra Alex Alfandianto Alfisyahri, Suciani Anggara, Kevin Asnawati Azwanti, Nurul brantaricke Cecep Sugianto Dalimunthe, Hery Fadly Daris Purba David Pranata Desrini Ningsih Dewa Kurniawan Nusantoro Dewi Kartika Sari Dicky Prayoga Elisa, Erlin Ellbert Hutabri, Ellbert Fajrin, Alfannisa Annurrullah Febry harlian hasibuan Ferdy Santoni Fernandes, Fadli Gulo, Michael Joakson Gultom, Mitha Serlina Handoko, Koko Handoko, Koko Hendra Suprapto Hendri Kremer Humairani, Ayunda Annisa Imam Asyarie Indra, Yanto Khairiyah, Riri Kho, Willy Kie, Kennard Koko, Koko Handoko Kurnia Cahyana, Muhammad Angga Liska sumarni Manurung, Sesi Susanti Marubah Siringo, Anggiat Maslan, Andi MAULI SIAGIAN Muhammat Rasid Ridho Nanito Nasruji, Nasruji Nurma Dhona Handayani Nurma Dhona Handayani Nurma Dhona Handayani, Nurma Pangaribuan, Hotma Pardede, Uly Prayoga, Dicky Prima, Elsa Adam Alvin Priska Napitu Realize, Realize Riri Khairiyah RONI Rosida V Nainggolan RR. Ella Evrita Hestiandari Sianturi, Apoan Toni Corline Sibarani, Sarina Sihombing, Joel Simatupang, Enjelina Siska Damayanti Sitohang, Sunarsan Sri Zetli Steffi Adam Suhaili Suharyanto, Cosmas Eko Suprapto, Hendra Suratman Syastra, Muhammad Taufik Tampubolon, Dumayanti Tarigan, Armando Muhsirada Teddy Santya Toni, Toni Veron Vernando Wasiman Wasiman Wasiman, Wasiman Yanto, Indra Yanto Yohanni Syahra Zara Tania Rahmadi Zetli, Sri Zetly, Sri