Abstract:Abstract: This PkM activity aims to provide new knowledge and insights for Silo Bonto Village officials on the benefits of digitalizing the village, improving village services, and empowering the community's economy. Silo…
o Bonto Village has a population of 6,387 people spread across 11 hamlets. The majority of the people in Silo Bonto Village, Silau Laut District, Asahan Regency, are farmers who cultivate coconut and oil palm plantations. The Silo Bonto Village Office has a village application, but it has not been utilized, the problems that arise are the absence of skilled human resources in the village office who can run open desa application, secondly, the limited village budget to fund technological infrastructure. Another problem is that there is community resistance to the use of technology in the village service system. This activity aims to help villages find solutions to existing problems, one of which is providing knowledge and skills on how digitalization can make village services and economic empowerment more efficient and improved. The PkM activity was attended by village officials hamlet heads and representatives of the community totaling 24 people. The method used is Community Base-Participatory Research (CBPR). The results of activity, in addition to the implementation of this PkM activity, there has also been a transfer of knowledge from the implementer to the participants of the socialization about Village Office Digitalization: Smart Solutions to Improve Services and Community Economic Empowerment.
Keywords: village; digitalization; open desa;economic empowerment; improving village services
Abstrak: Kegiatan PkM ini bertujuan untuk memberikan pengetahuan dan wawasan baru bagi aparat Desa Silo Bonto manfaat digitalisasi desa bagi peningkatan layanan desa dan pemberdayaan ekonomi masyarakat. Desa Silo Bonto yang berpenduduk 6387 jiwa yang tersebar di 11 dusun. Mayoritas masyarakat Desa Silo Bonto Kecamatan Silau Laut Kabupaten Asahan adalah petani perkebunan kelapa dan kelapa sawit. Kantor Desa Silo Bonto memiliki aplikasi desa, namun belum dimanfaatkan, permasalahan yang muncul adalah belum adanya SDM terampil di kantor desa yang mampu menjalankan aplikasi Open Desa, kedua terbatasnya anggaran desa untuk mendanai infratruktur teknlogi. Permasalahan lainnya adalah ada resisitensi masyarakat dalam penggunaan teknologi dalam sistem pelayanan desa. Kegiatan ini bertujuan untuk membantu desa dalam mencari solusi dari permasalahan yang ada, ssalah satunya memberikan pengetahuan dan keterampilan bagaimana digitalisasi mampu mengefisienkan dan meningkatkan layanan dan pemberdayaan ekonomi desa. Kegiatan Pk Mini dihadiri oleh apparat desa dan kepala dusun serta perwakilan Masyarakat yang berjumlah 24 orang. Metode yang digunakan adalah Community Base-Partisipatory Research (CBPR). Hasil kegiatan, selain terlaksananya kegiatan PkM ini juga telah terjadi transfer ilmu dari pelaksana ke peserta sosialisasi tentang Digitalisasi Kantor Desa: Solusi Cerdas Meningkatkan Pelayanan Dan Pemberdayaan Ekonomi Masyarakat.
Kata kunci: desa; digitalisasi; open desa; pemberdayaan ekonomi; peningkatan layanan desa
Abstract:Abstract: The rapid pace of digital transformation highlights the need to empower Micro, Small, and Medium Enterprises (MSMEs) in Jayapura City by integrating Artificial Intelligence (AI) into their business strategies.…
This community service initiative aims to assess MSME actors’ initial understanding of AI, deliver targeted training, and evaluate improvements in strategic planning using the Value Proposition Canvas (VPC). The program was conducted in three stages: pre-assessment, training implementation, and post-training evaluation. Initial findings revealed that most participants had limited knowledge of AI and its applications. However, after the training, there was a significant increase in participants’ confidence and capability. The training effectively reduced lack of knowledge by 40%, addressed infrastructure and internet challenges by 45%, and decreased uncertainty regarding AI's return on investment by 30%. Participants began applying tools such as ChatGPT, Canva AI, and the VPC method to better understand customer needs. Although the study was limited by a short evaluation period and a specific geographic focus, it offers valuable insights for policymakers, educators, and development stakeholders. The findings support the importance of accessible, hands-on training in making AI a practical and beneficial resource for small businesses, ultimately promoting inclusive, technology-driven growth.
Keywords: artificial intelligence, business strategy, jayapura, MSME, youth
Abstrak: Transformasi digital yang pesat mendorong perlunya pemberdayaan Usaha Mikro, Kecil, dan Menengah (UMKM) di Kota Jayapura melalui integrasi kecerdasan buatan (AI) dalam strategi bisnis mereka. Program pengabdian masyarakat ini bertujuan untuk menilai pemahaman awal pelaku UMKM terhadap AI, memberikan pelatihan terarah, dan mengevaluasi peningkatan dalam perencanaan strategis menggunakan Value Proposition Canvas (VPC). Kegiatan ini dilaksanakan dalam tiga tahap: pra-asesmen, pelatihan, dan evaluasi pascapelatihan. Hasil awal menunjukkan bahwa mayoritas peserta memiliki pengetahuan terbatas tentang AI dan penerapannya. Namun, pascapelatihan terlihat peningkatan signifikan dalam kepercayaan diri dan kemampuan peserta. Pelatihan berhasil menurunkan tingkat ketidaktahuan sebesar 40%, mengurangi kendala infrastruktur dan internet sebesar 45%, serta menekan keraguan atas keuntungan penggunaan AI sebesar 30%. Peserta mulai memanfaatkan alat seperti ChatGPT, Canva AI, dan metode VPC untuk meningkatkan pemahaman kebutuhan pelanggan. Meski terbatas pada waktu evaluasi yang singkat dan wilayah Jayapura, studi ini memberikan wawasan penting bagi pembuat kebijakan, pendidik, dan pemangku kepentingan untuk mendorong pertumbuhan UMKM berbasis teknologi secara inklusif.
Kata kunci: anak muda, bisnis strategi, jayapura, kecerdasan buatan, UMKM
Abstract:Abstract: Community service-themed events Applying Eco Print is Making Eco-Friendly Batik in the midst of the Dharma Wanita Persada (DWP) monthly routine activity of the PUPR Office of Asahan Regency. The monthly routine…
meetings that have been held by DWP members so far have been limited to routine activities. There has never been the empowerment of members through skill improvement to producing products that have economic value. This prompted the head of the DWP of the PUPR Service to decide to make activities that have more economic value in order to improve the welfare of DWP members. This activity lasts for one day using the community education method through lectures, discussions questions, and answers as well as the practice of making eco prints. Attended by as many as 25 participants Dharma Wanita and the STMIK Royal Lecturer Team. The purpose of this activity is to provide new knowledge and insights to participants on how to use simple materials that are environmentally friendly around us which can be used as creative endeavors during the pandemic. The implementation of the activity is divided into two sessions; The first is an exposure session about the meaning and benefits of eco print, the materials and tools used, and the techniques/methods for making eco prints. The second session is practice. Of the two methods of making eco prints, the steam/steam method was chosen to be practiced directly by the women of the DWP of the PUPR Office of Asahan Regency. This activity went well and got a good response from the participants, this can be seen from the activeness of the participants during the activity. The result is an increase in participants' knowledge and skills.
Keywords: eco print; pounding; steaming
Abstrak: Ditengah kegiatan rutin bulanan Darmawanita Persada (DWP) Dinas PUPR kabupaten Asahan yang telah dilakukan anggota DWP selama ini hanya terbatas pada kegiatan yang bersifat rutinitas biasa dan pengajian. Belum pernah dilakukan pemberdayaan anggota melalui peningkatan ketrampilan untuk menghasilkan produk yang bernilai ekonomis. Hal ini yang mendorong ketua DWP Dinas PUPR memutuskan untuk membuat kegiatan yang lebih bernilai ekonomis guna meningkatkan kesejahteraan anggota DWP. Metode dalam kegiatan ini yaitu pendidikan masyarakat melalui kegiatan ceramah, diskusi dan tanya jawab serta praktek pembuatan eco print. peserta dalam kegiatan ini adalahan ibu-ibu darmawanita yang dihadiri sebanyak 25 orang dan Tim dosen STMIK Royal. Tujuan dari kegiatan ini memberikan pengetahuan dan wawasan baru kepada peserta bagaimana memanfaatkan bahan-bahan yang sederhana ramah lingkungan disekitar kita yang bisa dijadikan sebagai usaha kreatif dimasa pandemi. Pelaksanaan kegaiatan terbagi dalam dua sesi; pertama sesi paparan tentang pengertian, dan manfaat dari eco print, bahan dan alat yang digunakan serta tehnik/metode pembuatan eco print. Sesi kedua adalah praktek pembuatan eco print. Kegiatan ini berjalan baik dan mendapatkan respon yang baik dari peserta, hal ini dilihat dari keaktifan peserta selama berlangsungnya kegiatan. Hasilnya adalah peningkatan pengetahuan dan keahlian peserta.
Kata kunci: eco print; pounding; steaming
Abstract:Abstract: The existence of the Covid-19 pandemic makes the learning process in early childhood ineffective, including in the delivery of national insight material. The use of online platforms apparently cannot be done in…
n the learning process in Purwantoro District, Wonogiri Regency because many parents do not understand about the operation of online learning, parents who work full time, and geographical conditions that do not support it so that signaling is difficult. This community service activity is carried out in collaboration by the University of Muhammadiyah Ponorogo and the Institute of Kebangsaanic Studies Muhammadiyah Pacitan in collaboration with HIMPAUD, Purwantoro District, Wonogiri Regency. This activity aims to assist teachers in increasing students' understanding of national insight through the insertion method in learning materials. Activities are carried out online with the implementation stages being pre-activity, activity implementation, activity evaluation, and follow-up activities. From the results that have been carried out, it can be concluded that 94% of participants have understood the use of the insertion method in the implementation of learning so that students can understand the national insight in every material presented by the teacher
Keywords: insertion; PAUD; national insights
Abstrak: Adanya pandemi Covid-19 menjadikan proses pembelajaran pada anak usia dini tidak efektif, termasuk dalam penyampaian materi wawasan kebangsaan. Penggunaan platform online ternyata tidak bisa dilakukan pada proses pembelajaran di kecamatan Purwantoro kabupaten Wonogiri karena banyak orang tua yang belum paham tentang pengoperasionalan pembelajaran online, orang tua yang bekerja secara fulltime, serta kondisi geografis yang tidak mendukung sehingga sulitnya sinyal. Kegiatan pengabdian kepada masyarakat ini dilaksanakan secara kolaborasi oleh Universitas Muhammadiyah Ponorogo dan Institut Kebangsaan Studies Muhammadiyah Pacitan bekerjasama dengan HIMPAUD kecamatan Purwantoro kabupaten Wonogiri. Kegiatan ini bertujuan untuk membantu guru dalam meningkatkan pemahaman siswa tentang wawasan kebangsaan melalui metode insersi dalam materi pembelajaran. Kegiatan dilaksanakan melalui dalam jaringan (online) dengan tahap pelaksanaan adalah pra kegiatan, pelaksanaan kegiatan, evaluasi kegiatan, dan tindak lanjut kegiatan. Dari hasil yang telah dilaksanakan diperoleh hasil bahwa 94% peserta telah paham tentang penggunaan metode insersi dalam pelaksanaan pembelajaran sehingga siswa dapat memahami tentang wawasan kebangsaan dalam setiap materi yang disampaikan oleh guru.
Kata kunci: insersi; PAUD; wawasan kebangsaan
Abstract:Abstract: The increasing use of the Maxim ride-hailing application in Manokwari highlights the need to understand the factors influencing user acceptance and satisfaction. However, the growing number of users does not necessarily…
cessarily reflect a high level of technology acceptance and user satisfaction. This study aims to examine the effects of performance expectancy, effort expectancy, facilitating conditions, and habit on behavioral intention, as well as the effect of behavioral intention on user satisfaction among Maxim users in Manokwari. A quantitative approach based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was employed. Data were collected through questionnaires using a purposive sampling technique from 156 valid respondents and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The results show that performance expectancy (β = 0.343, p < 0.001), effort expectancy (β = 0.191, p = 0.002), facilitating conditions (β = 0.142, p = 0.029), and habit (β = 0.359, p < 0.001) positively and significantly influence behavioral intention. Furthermore, behavioral intention positively and significantly affects user satisfaction (β = 0.771, p < 0.001). These findings confirm the applicability of the UTAUT2 model and provide practical insights for Maxim management and application developers to improve service quality and user satisfaction.
Keywords: behavioral intention; effort expectancy; facilitating conditions; habit; performance expectancy; user satisfaction.
Abstrak: Meningkatnya penggunaan aplikasi transportasi daring Maxim di Manokwari mendorong perlunya memahami faktor-faktor yang memengaruhi penerimaan teknologi dan kepuasan pengguna. Namun, peningkatan jumlah pengguna belum tentu mencerminkan tingginya tingkat penerimaan teknologi dan kepuasan pengguna. Penelitian ini bertujuan menganalisis pengaruh performance expectancy, effort expectancy, facilitating conditions, dan habit terhadap behavioral intention, serta pengaruh behavioral intention terhadap user satisfaction pada pengguna aplikasi Maxim di Manokwari. Penelitian ini menggunakan pendekatan kuantitatif berdasarkan model Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Data dikumpulkan melalui kuesioner menggunakan teknik purposive sampling terhadap 156 responden dan dianalisis menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan SmartPLS 4.0. Hasil penelitian menunjukkan bahwa performance expectancy (β = 0,343; p < 0,001), effort expectancy (β = 0,191; p = 0,002), facilitating conditions (β = 0,142; p = 0,029), dan habit (β = 0,359; p < 0,001) berpengaruh positif dan signifikan terhadap behavioral intention. Selanjutnya, behavioral intention berpengaruh positif dan signifikan terhadap user satisfaction (β = 0,771; p < 0,001). Temuan ini menegaskan penerapan model UTAUT2 serta memberikan masukan bagi manajemen Maxim dan pengembang aplikasi untuk meningkatkan kualitas layanan dan kepuasan pengguna.
Kata kunci: behavioral intention; effort expectancy; facilitating conditions; habit; performance expectancy; user satisfaction.
Abstract:Abstract: The rapid growth of e-commerce mobile applications has generated large volumes of user reviews, making manual sentiment analysis increasingly impractical. This study aims to compare the effectiveness of three machine…
achine learning algorithms Support Vector Machine (SVM), Random Forest, and Naive Bayes for automated sentiment classification of Indonesian-language mobile application reviews. A dataset of 3,000 user reviews from the RupaRupa application on the Google Play Store was collected and preprocessed through normalization, tokenization, stopword removal, and stemming. TF-IDF vectorization was applied for feature extraction, while the Synthetic Minority Over-sampling Technique (SMOTE) was used to address class imbalance across three sentiment categories: positive, negative, and neutral. The results show that SVM achieved the highest accuracy of 90.02%, while Random Forest obtained the best F1-score of 88.08% when sufficient training data were available. Naive Bayes demonstrated relatively stable performance across varying training data sizes. Furthermore, TF-IDF keyword analysis revealed that negative reviews were primarily associated with delivery issues, technical problems, and pricing concerns. These findings demonstrate the effectiveness of machine learning approaches for sentiment classification and provide practical insights for improving mobile application services.
Keywords: sentiment analysis; machine learning; SMOTE; TF-IDF; text classification
Abstrak: Pertumbuhan pesat aplikasi mobile e-commerce telah menghasilkan volume ulasan pengguna yang sangat besar, sehingga analisis sentimen secara manual menjadi semakin tidak praktis. Penelitian ini bertujuan untuk membandingkan efektivitas tiga algoritma machine learning Support Vector Machine (SVM), Random Forest, dan Naive Bayes dalam melakukan klasifikasi sentimen otomatis terhadap ulasan aplikasi mobile berbahasa Indonesia. Dataset yang digunakan terdiri dari 3.000 ulasan pengguna aplikasi RupaRupa yang dikumpulkan dari Google Play Store. Data kemudian diproses melalui tahapan preprocessing yang meliputi normalisasi, tokenisasi, penghapusan stopword, dan stemming. Ekstraksi fitur dilakukan menggunakan metode Term Frequency–Inverse Document Frequency (TF-IDF), sedangkan ketidakseimbangan kelas ditangani menggunakan Synthetic Minority Over-sampling Technique (SMOTE) pada tiga kategori sentimen, yaitu positif, negatif, dan netral. Hasil penelitian menunjukkan bahwa SVM mencapai tingkat akurasi tertinggi sebesar 90,02%, sementara Random Forest memperoleh nilai F1-score terbaik sebesar 88,08% ketika tersedia data pelatihan yang memadai. Naive Bayes menunjukkan performa yang relatif stabil pada berbagai ukuran data pelatihan. Selain itu, analisis kata kunci berbasis TF-IDF mengungkapkan bahwa ulasan negatif terutama berkaitan dengan masalah pengiriman, kendala teknis aplikasi, dan isu harga. Temuan ini menunjukkan bahwa pendekatan machine learning efektif untuk klasifikasi sentimen serta memberikan wawasan yang bermanfaat dalam meningkatkan kualitas layanan aplikasi mobile.
Kata Kunci: analisis sentimen; pembelajaran mesin; SMOTE; TF-IDF; klasifikasi teks.
Abstract:Abstract: Obesity is an escalating global health concern, with unhealthy lifestyle patterns contributing significantly to its development. This study aims to evaluate and compare three clustering techniques for categorizing…
ing lifestyle patterns and obesity-related factors: K-Means, Agglomerative Clustering, and Gaussian Mixture Model (GMM). The data used in this study is sourced from the Food Nutrition dataset, which includes variables such as dietary habits, physical activity, and socio-economic status. The three clustering methods were assessed using evaluation metrics such as Silhouette Score, Davies-Bouldin Index (DBI), and Calinski-Harabasz Index (CHI). The findings revealed that K-Means exhibited the best performance in terms of cluster separation with a Silhouette Score of 0.5559, while GMM showed better flexibility in handling more complex data. Although Agglomerative Clustering produced acceptable results, it had a higher overlap between clusters compared to the other methods. This study offers valuable insights into selecting the most appropriate clustering technique based on the data characteristics.
Keywords: agglomerative; clustering; GMM; k-means; lifestyle patterns; obesity
Abstrak: Obesitas menjadi masalah kesehatan yang semakin meningkat di seluruh dunia, dengan pola hidup yang tidak sehat berperan besar dalam perkembangannya. Penelitian ini bertujuan untuk membandingkan tiga metode clustering dalam mengelompokkan pola gaya hidup dan faktor yang memengaruhi obesitas, yaitu K-Means, Agglomerative Clustering, dan Gaussian Mixture Model (GMM). Data yang digunakan diperoleh dari dataset Food Nutrition yang mencakup informasi terkait pola makan, aktivitas fisik, serta faktor sosial-ekonomi. Ketiga metode tersebut diuji dengan menggunakan beberapa metrik evaluasi, seperti Silhouette Score, Davies-Bouldin Index (DBI), dan Calinski-Harabasz Index (CHI). Hasil penelitian menunjukkan bahwa K-Means memiliki kinerja terbaik dalam hal pemisahan klaster, dengan nilai Silhouette Score sebesar 0.5559, sementara GMM lebih fleksibel dalam menangani data yang lebih kompleks. Meskipun Agglomerative Clustering memberikan hasil yang dapat diterima, tumpang tindih antar klaster lebih besar dibandingkan dengan kedua metode lainnya. Penelitian ini memberikan pemahaman yang lebih baik mengenai pemilihan metode clustering yang tepat berdasarkan karakteristik data yang digunakan.
Kata kunci: agglomerative; clustering; GMM; k-means; obesitas; pola gaya hidup
Abstract:Abstract: Digital banking has brought various innovations in financial services, one of which is Blu Deposito by BCA Digital. However, the adoption rate of digital deposit services is still relatively low compared to digital…
ital payment services. This study aims to identify and analyze the factors that influence customers' intentions and actual behavior in using Blu Deposito with reference to the Technology Acceptance Model (TAM). This study aims to analyze the factors that influence customers' intentions and actual behavior in adopting Blu Deposito using the Technology Acceptance Model (TAM) framework. Data was collected through a Google Form questionnaire from 54 customers at one BCA branch and analyzed using SPSS through validity and reliability tests, descriptive analysis, and multiple regression. The results show that Behavioral Intention (BI)is significantly influenced by Perceived Ease of Use (PEOU), Perceived Usefulness (PU), and Attitude Toward Using (ATU), with PEOU as the most dominant factor. In addition, BI has a significant effect on Actual System Use (AU), which confirms the relevance of applying the TAM model in the context of digital deposit products. These findings indicate that ease of use plays a greater role than financial benefits in encouraging users to adopt Blu Deposits. This study contributes to the understanding of digital deposit adoption and provides managerial insights to improve the usability and user engagement of digital banking services.
Keywords: actual system use; attitude toward using; behavioral intention; perceived ease of use; perceived usefulness; technology acceptance model
Abstrak: Perbankan digital telah menghadirkan berbagai inovasi dalam layanan keuangan, salah satunya Blu Deposito oleh BCA Digital. Meskipun demikian, tingkat adopsi terhadap layanan deposito digital masih relatif rendah dibandingkan dengan layanan pembayaran digital. Penelitian ini bertujuan untuk mengidentifikasi dan menganalisis faktor-faktor yang memengaruhi niat serta perilaku aktual nasabah dalam menggunakan Blu Deposito dengan mengacu pada kerangka Technology Acceptance Model (TAM). Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi niat dan perilaku aktual nasabah dalam mengadopsi Blu Deposito dengan menggunakan kerangka Technology Acceptance Model (TAM). Data dikumpulkan melalui kuesioner Google Form dari 54 nasabah di satu cabang BCA dan dianalisis menggunakan SPSS melalui uji validitas, reliabilitas, analisis deskriptif, dan regresi berganda. Hasil penelitian menunjukkan bahwa Behavioral Intention (BI) dipengaruhi secara signifikan oleh Perceived Ease of Use (PEOU), Perceived Usefulness (PU), dan Attitude Toward Using (ATU), dengan PEOU sebagai faktor paling dominan. Selain itu, BI berpengaruh signifikan terhadap Actual System Use (AU), yang menegaskan relevansi penerapan model TAM pada konteks produk deposito digital. Temuan ini menunjukkan bahwa kemudahan penggunaan memiliki peran lebih besar dibandingkan manfaat finansial dalam mendorong pengguna untuk mengadopsi Blu Deposito. Penelitian ini berkontribusi terhadap pemahaman adopsi deposito digital serta memberikan wawasan manajerial untuk meningkatkan kegunaan dan keterlibatan pengguna pada layanan perbankan digital.
Kata kunci: actual system use; attitude toward using; behavioral intention; perceived ease of use; perceived usefulness; technology acceptance model
Abstract:This study analyzes the acceptance of teachers and ASN employees of the SINAGA (Sistem Informasi Layanan Kepegawaian) attendance application at SMA Negeri 1 Jatilawang using a modified Technology Acceptance Model (TAM).…
The model was extended by incorporating two external variables: Information Quality and Complexity. This explanatory quantitative research employed the Structural Equation Modeling–Partial Least Square (SEM-PLS) method involving 60 respondents who are civil servants, consisting of teachers and administrative staff. The results reveal that Information Quality has a positive and significant influence on both Perceived Usefulness (PU) and Perceived Ease of Use (PEOU), while Complexity does not show a significant effect on either variable. Furthermore, PEOU and PU have a positive impact on Attitude Toward Use (ATU), which subsequently affects Behavioral Intention to Use (BIU). Behavioral intention, in turn, strongly influences Actual Use (AU). These findings indicate that teachers’ acceptance of the SINAGA digital attendance system in educational settings is primarily driven by information quality and users’ positive attitudes rather than by system complexity. Theoretically, this study contributes to the expansion of TAM application in the educational context. Practically, it provides valuable insights for improving the effectiveness of SINAGA implementation through better information quality and enhanced user experience.
Abstract:Abstract: The rapid growth of the cosmetics industry on e-commerce platforms has intensified competition, creating a critical need for effective, data-driven marketing strategies. This study aims to conduct a comparative…
analysis of machine learning algorithms to predict the sales categories (High, Medium, Low) of cosmetic products on the Tokopedia marketplace. Four classification models; Random Forest, XGBoost, Logistic Regression, and Naive Bayes were trained and evaluated on data collected via web scraping. The methodology incorporates the Synthetic Minority Over-sampling Technique (SMOTE) to address significant class imbalance and GridSearchCV for hyperparameter optimization to ensure a fair and robust comparison. The experimental results conclusively show that the Random Forest model achieved the best performance, yielding the highest F1-Score Macro Average of 0.75 and an accuracy of 85.3%. The superior model was subsequently implemented in a simple recommendation system to simulate optimal discount strategies, demonstrating its practical utility in providing actionable insights for business decisions.
Keywords: classification; comparative analysis; machine learning; sales prediction; SMOTE
Abstrak: Pertumbuhan pesat industri kosmetik pada platform e-commerce telah membuat persaingan ketat, sehingga menciptakan kebutuhan krusial akan strategi pemasaran yang efektif dan berbasis data. Penelitian ini bertujuan untuk melakukan analisis komparatif terhadap algoritma machine learning untuk memprediksi kategori penjualan (Tinggi, Sedang, Rendah) produk kosmetik di marketplace Tokopedia. Empat model klasifikasi, yaitu Random Forest, XGBoost, Regresi Logistik, dan Naive Bayes, dilatih dan dievaluasi menggunakan data yang dikumpulkan melalui web scraping. Metodologi penelitian ini menerapkan Synthetic Minority Over-sampling Technique (SMOTE) untuk mengatasi ketidakseimbangan kelas yang signifikan dan GridSearchCV untuk optimisasi hyperparameter guna memastikan perbandingan yang adil. Hasil eksperimen menunjukkan bahwa model Random Forest mencapai performa terbaik, dengan menghasilkan F1-Score Macro Average tertinggi sebesar 0,75 dan akurasi 85,3%. Model unggul ini kemudian diimplementasikan dalam sebuah sistem rekomendasi sederhana untuk menyimulasikan strategi diskon yang optimal, yang menunjukkan kegunaan praktisnya dalam memberikan wawasan yang dapat ditindaklanjuti untuk pengambilan keputusan bisnis.
Kata kunci: analisis komparatif; klasifikasi; machine learning; prediksi penjualan; SMOTE