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All Journal KLIK (Kumpulan jurnaL Ilmu Komputer) (e-Journal) InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan JOIN (Jurnal Online Informatika) Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Jurnal Pengabdian Pada Masyarakat Rang Teknik Journal JURNAL ILMIAH INFORMATIKA Journal Information System Development Jurnal Teknik Informatika UNIKA Santo Thomas Computer Based Information System Journal Jurdimas (Jurnal Pengabdian Kepada Masyarakat) Royal Jurnal Informasi dan Komputer Building of Informatics, Technology and Science Jurnal Manajemen Informatika dan Sistem Informasi Jurnal Tekinkom (Teknik Informasi dan Komputer) JPMB: Jurnal Pemberdayaan Masyarakat Berkarakter Jurnal Teknik Informatika Unika Santo Thomas (JTIUST) Jurnal Puan Indonesia Jurnal Sains Informatika Terapan (JSIT) Jurnal PADI (Pengabdian mAsyarakat Dosen Indonesia) Jurnal Pengabdian Ibnu Sina Jurnal Pengabdian Barelang International Journal of Technology Vocational Education and Training (IJTVET) Computer & Science Industrial Engineering Journal Prosiding Seminar Nasional Ilmu Sosial dan Teknologi (SNISTEK)
Elisa, Erlin
Universitas Putra Batam
Religion Agriculture, Biological Sciences & Forestry Humanities Biochemistry, Genetics & Molecular Biology Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

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Analisa Pemetaan Penerimaan Bantuan Kesejahteraan Masyarakat Terdampak Covid-19 Dengan Algoritma Clustering Erlin Elisa; Tukino Tukino; Muhammad Taufik Syastra
Prosiding Vol 4 (2022): SNISTEK
Publisher : LPPM Universitas Putera Batam

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Abstract

2020 is a very difficult year for humans in this world, with a virus outbreak that has swept across the country, this outbreak is called Coronavirus Disease 2019 (Covid-19). Including in Indonesia with cases that continue to increase every day, until now there is no sign of this outbreak ending, with this incident the government issued a policy for large-scale social restrictions or known as PSPB in various regions that fall into the category of large case zones and According to data from the Riau Islands Covid-19 cluster, in Batam City itself, the number of Covid-19 cases continued to increase so that it exceeded the number of 2000. As a result of this protracted disaster, of course, human life has been disrupted, many jobs have been neglected, so that various types of businesses have had to go out of business because their turnover has been much reduced and this has caused business voters to have to lay off their employees. This situation received rapid attention from the government through the social service agency to provide welfare assistance for people affected by COVID-19, but the problem here is from observations while researchers are still many of the assistance that is not right on target, causing polemics for the community. This research will utilize one of the datamining techniques with the K means algorithm to determine the mapping or segmentation of government assistance to communities affected by COVID-19 in order to accelerate people's purchasing power with the aim that research results can be used by community leaders such as RT, RW to record citizens who need this assistance. The results of the analysis show that the clustering segmentation with the data analyzed is 30 data stating that there are priority recipients which are divided into 5 clusters with predetermined criteria.
Pembinaan Pemberdayaan Kelompok UKM Berbasis Teknologi Dan Pemasaran Digital Erlin Elisa; Tukino Tukino; Alfannisa Annurrallah Fajrin; Nanda Harry Mardika; Suvianto Wangdra
Prosiding Vol 5 (2023): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v5i.8099

Abstract

The implementation of community service activities that will be carried out in the form of fostering Pemasaran Digital-Based Marketing Empowerment which is located at Rindang Garden Blok B2 No. 04 Buliang Batu Aji Village, Batam. Based on the results of interviews in the field that KUBE Jasmine SMEs have problems marketing their products. In general, SMEs have limitations in mastering the use of information technology facilities plus marketing media that are less well known by the public. SMEs or conventional entrepreneurs consider accounting records to be a hassle. The training method used is to provide training on training using an online website. The methods used in the development of KUBE Jasmine UKM that will be given are survey methods, lecture methods, discussion methods and training methods. The sustainability of the results of the coaching activities is that KUBE Jasmine SMEs are expected to be able to manage marketing through web-based Pemasaran Digital.
Pelatihan Membangun Keunggulan Bersaing UMKM Melalui Pemasaran Online Di Kota Batam Tukino Tukino; Erlin Elisa; Algifanri Maulana; Yvonne Wangdra; Ronald Wangdra; Suvianto Wangdra
Prosiding Vol 5 (2023): SNISTEK
Publisher : LPPM Universitas Putera Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33884/psnistek.v5i.8133

Abstract

The implementation of community service activities will take the form of Empowerment of E-Commerce-Based Marketing located at Rindang Garden Block B2 No. 04, Buliang Village, Batu Aji District, Batam. Based on the field interview results, the Small and Medium-sized Enterprises (UMKM) Rafflesia face challenges in marketing their products. In general, UMKM businesses have limitations in mastering information technology facilities and marketing media that are not well-known to the public. Conventional business owners feel that accounting recording is a cumbersome task. The training method used is to provide training through an online website. The methods used in the development of UMKM Rafflesia include survey methods, lecture methods, discussion methods, and training methods. The sustainability of the results of this coaching activity is expected to enable UMKM Rafflesia to manage online marketing effectively.
Analisis Data Transaksi Penjualan Obat Menggunakan Algortima Apriori Pada Kimia Farma Batam Koko, Koko Handoko; Simanjuntak, Pastima; Elisa, Erlin
Jurnal Sains Informatika Terapan Vol. 4 No. 2 (2025): Jurnal Sains Informatika Terapan (Juni, 2025)
Publisher : Riset Sinergi Indonesia (RISINDO)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62357/jsit.v4i2.555

Abstract

With the advancement of information technology, there are many opportunities for the business sector, including the pharmaceutical industry, to use data to make strategic decisions. The Apriori algorithm, which falls under the category of association rule mining data mining techniques, is one of the effective methods for extracting hidden information from sales transaction data. The purpose of this study is to see the drug purchasing patterns that occur at the Kimia Farma Batam Pharmacy using the Apriori algorithm to help improve sales strategies, stock management, and customer service. The data used in this study comes from the Kimia Farma Batam pharmacy management information system. This data is collected from drug sales transactions during a certain period. The analysis begins with a data pre-processing stage, which includes cleaning and transforming the data. Then, the Apriori algorithm is used to extract association patterns. The results of the Apriori algorithm analysis show that drug combinations such as Ibuprofen and Paracetamol, and Aspirin and Paracetamol are often purchased together. This information can be used for bundling strategies, shelf arrangement, and cross-selling at Kimia Farma Batam pharmacies. With this research, Kimia Farma Batam Pharmacy can gain competitive advantage and improve the quality of data-based decision making with the Apriori algorithm that understands consumer behavior.
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.
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

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

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.
PELATIHAN PENGEMBANGAN IDE USAHA MELALUI PENDEKATAN BUSINESS MODEL CANVAS PADA SISWA SMK KOLESE BATAM Darmansah, Darmansah; Rika Harman; Amrizal; Erlin Elisa; Novri Adhiatma
Jurnal Pengabdian Ibnu Sina Vol. 4 No. 2 (2025): Juli 2025
Publisher : LPPM Universitas Ibnu Sina

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36352/j-pis.v4i2.1145

Abstract

ABSTRAK Di era persaingan global saat ini, kemampuan untuk menciptakan ide bisnis yang inovatif dan aplikatif menjadi salah satu kompetensi penting yang harus dimiliki oleh siswa Sekolah Menengah Kejuruan (SMK), khususnya dalam mendukung program kewirausahaan sekolah. Namun, masih banyak siswa yang mengalami kesulitan dalam mengembangkan ide usaha secara sistematis dan strategis. Tujuan dari Pengabdian Kepada Masyarakat ini adalah untuk meningkatkan pemahaman dan keterampilan siswa SMK Kolese Batam tentang kewirausahaan melalui pelatihan pengembangan ide usaha yang menggunakan pendekatan Business Model Canvas (BMC). Fokus dari pelatihan yang dilakukan adalah tentang sembilan komponen utama BMC, yaitu segmen pelanggan, proposisi nilai, saluran distribusi, hubungan dengan pelanggan, sumber pendapatan, sumber daya utama, aktivitas utama, mitra utama, dan struktur biaya. Metode pengabdian yang di lakukan yaitu berdasarkan ide bisnis siswa, studi kasus, diskusi kelompok, dan ceramah interaktif adalah semua teknik pelatihan yang digunakan. Hasil pelatihan menunjukkan bahwa siswa lebih memahami konsep BMC dan lebih tahu bagaimana membuat ide usaha yang lebih terarah dan realistis. Kegiatan ini juga menumbuhkan minat siswa dalam berwirausaha dan meningkatkan keyakinan mereka bahwa mereka akan memiliki usaha sendiri setelah mereka lulus sekolah. Diharapkan, pelatihan ini menjadi langkah awal dalam menciptakan generasi muda yang kreatif, inovatif, dan siap menghadapi tantangan dunia kerja maupun dunia usaha. Kata Kunci: Business Model Canvas; Pelatihan; Siswa SMK; Kewirausahaan. ABSTRACT In today's era of global competition, the ability to create innovative and applicable business ideas is one of the important competencies that must be possessed by Vocational High School (SMK) students, especially in supporting school entrepreneurship programs. However, many students still have difficulty in developing business ideas systematically and strategically. The purpose of this Community Service is to improve the understanding and skills of SMK Kolese Batam students about entrepreneurship through business idea development training using the Business Model Canvas (BMC) approach. The focus of the training conducted is on the nine main components of BMC, namely customer segments, value propositions, distribution channels, customer relationships, revenue sources, key resources, key activities, key partners, and cost structures. BMC creation simulations based on students' business ideas, case studies, group discussions, and interactive lectures are all training techniques used. The results of the training showed that students better understood the concept of BMC and knew more about how to create more focused and realistic business ideas. This activity also fostered students' interest in entrepreneurship and increased their confidence that they would have their own business after they graduated from school. It is hoped that this training will be the first step in creating a young generation that is creative, innovative, and ready to face the challenges of the world of work and the world of business. Keywords: Business Model Canvas; Training; Vocational High School Students; Entrepreneurship.
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.
PELATIHAN PEMBUATAN PLATFORM MARKETPLACE PRODUK KERAJINAN TANGAN KEWIRAUSAHAAN SISWA SMK KOLESE TIARA BANGSA BATAM Elisa, Erlin; Darmansyah , Darmansyah; Zetli, Sri; Simanjutak , Pastima; Satria, Robby
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.v7i1.429

Abstract

Digital sales in Indonesia have become increasingly accessible with the presence of electronic payment systems such as digital wallets (e-wallets) and online bank transfers, which simplify transactions between buyers and sellers. Social media platforms like Instagram, Facebook, and TikTok have become effective marketing tools, enabling brands to reach a wider audience through targeted advertisements and influencer marketing. E-commerce in Indonesia has also seen significant growth, with platforms such as Tokopedia, Bukalapak, Shopee, and Lazada dominating the market. The training on marketplace development in E-Commerce for students of SMK Kolese Tiara Bangsa Batam aims to provide practical skills in designing and developing effective online buying and selling platforms. Students will learn the basic concepts of E-Commerce. This training also covers payment system management, product catalog organization, as well as key aspects related to data security and online transactions. Through this training, students are expected to acquire the necessary skills to build a professional marketplace for marketing handcrafted products and student entrepreneurship, as well as understand the fundamental principles of digital marketing and how to attract customers in the E-Commerce landscape.
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
Co-Authors Adisaputra, Winarta - Agustira, Felia alfannisa annurrallah fajrin Alfannisa Annurullah Fajrin Alfannisa Fajrin Algifanri Maulana, Algifanri Alita Tiffana Amrizal Amrizal Amrizal Andi Maslan Andrianto Andrianto Anggia Arista anto, ridy Arista, Anggia aryanto, Mhd isrok Azwanti, Nurul Boru Sitorus, Melani Krissa Delvi Budi Santoso Butar Butar, Masro Shausi Darmansah, Darmansah Darmansyah , Darmansyah david Effendi, Bagus Cecep Eko Suharyanto, Cosmas Ellbert Hutabri, Ellbert Fajrin, Alfannisa fajrin, alfannisa annurrallah Febry irianti Simanjuntak, Sheryl Fernaldy, Kelvin Fransisco, Rico Fransisco Handoko, Koko Handoko, Koko Harman, Rika Hartati, Milasari Hendry . Hernandi, Gelen Betanio Holman Tua, Arnol Jeni, Jeni Chrisna Sitanggang Khe Ben KIKI VALENTINA SIANTURI Koko, Koko Handoko Larisma Nursinta Nainggolan Leonardo Lowensky, Elnas Mardiansyah, Yopy Maslan, Andi Muhammad Taufik Syastra NANDA HARRY MARDIKA Naomi, Cathrine Narti Eka Putria Nofriani Fajrah, Nofriani Nopriadi Nopriadi Novianti, Agnes Novri Adhiatma Novrianto NURJAYA NURJAYA, NURJAYA Nurma Dhona Handayani Rahmad Rahmat Fauzi Rahmat Fauzi Raymond Raymond Ronald Wangdra Satria, ROBBY Sijabat, Aditiya Riyanto Simanjuntak, Pastima Simanjutak , Pastima Simanjutak, Pastima Sinaga, Dewi Febryanti Sesilia Suharyanto, Cosmas Eko Suvianto Wangdra tan, Fitrini Tan, James Tanjung, Muhammad Iqbal Tipa, Handra Tri Utami, Yunita Tukino, Tukino tukino, tukino Uape, Frederikus Cyriaco Leu Le Vincent Z Viska, Indriani Yulia Wandela, Rido Sepka Wilianti, Livia Yvonne Wangdra Zetli, Sri Zetly, Sri