Abstract:The growth of coffee shop businesses in Indonesia faces significant challenges, particularly for small and medium enterprises (SMEs) that often encounter limitations in business management, marketing, and technology adoption.…
tion. This community engagement initiative aims to assist the "Latimojong" coffee shop in addressing these issues through the implementation of the Business Model Canvas (BMC) integrated with Internet of Things (IoT) technology. The activities were conducted through an interactively designed socialization process, including material presentation, discussions, and mentorship. Pre-test results indicated that participants' initial understanding averaged 36%, highlighting the need for capacity building in business management. Following the socialization, the post-test scores significantly improved, averaging 87%, representing a 141.67% increase. This improvement reflects the success of the socialization program in enhancing participants' understanding. Through this initiative, the "Latimojong" coffee shop was able to formulate a more strategic and efficient business model, strengthening its competitiveness in the local market. The implementation of IoT technology and social media-based digital marketing positively impacted operational efficiency and customer experience. This Community Engagement initiative serves as a replicable model for technology-based SME empowerment, potentially supporting sustainable local economic growth.
Abstract:This community service program aimed to enhance maritime cultural knowledge in Galesong Baru Village through the optimization of the Literacy Corner. Galesong Baru, known for its rich maritime heritage, faces challenges…
in preserving local knowledge and traditions amidst social changes and modernization. To address this issue, the program involved renovating the Literacy Corner, adding relevant educational materials, and conducting various educational activities. These activities included reading sessions, discussions, and workshops focused on maritime culture, as well as involving maritime experts and local leaders to provide in-depth insights. Program evaluation showed a significant increase in maritime cultural knowledge among participants, particularly among the younger generation. Pre- and post-program surveys indicated substantial improvement in understanding maritime traditions, such as boat-making and fishing techniques. The optimized Literacy Corner has become a more active hub, with increased visitation from the community. Support from the village government, local schools, non-governmental organizations, and the local community was crucial to the program's success. This program demonstrates that a participatory and collaborative approach in developing literacy centers can effectively enhance cultural knowledge and engage the community in preserving local heritage. The results of this program are expected to serve as a model for other coastal villages facing similar challenges in cultural preservation
Abstract:Abstract: In a competitive digital era, business owners such as Alya Collection face challenges in determining the right fashion products to offer to consumers. Relying on intuition without data support often results in…
inaccurate and potentially detrimental decisions. This study aims to assist the sales decision-making process by applying a data mining method using the K-Means Clustering algorithm. This method was used to group sales data from February 2024 to January 2025 into three categories: best-selling, least-selling, and non-selling products. The study was conducted using a quantitative approach, through sales data collection and direct interviews with store owners. The system was built using the PHP programming language and MySQL database, and designed with tools such as UML, DFD, and ERD. The results of this clustering system are expected to provide strategic information useful for Alya Collection in planning stock, promotions, and product development, thereby increasing sales effectively and efficiently.
Keywords: data mining; k-means; sales; alya collection; information system
Abstrak: Dalam era digital yang kompetitif, pemilik usaha seperti Alya Collection menghadapi tantangan dalam menentukan produk fashion yang tepat untuk ditawarkan kepada konsumen. Ketergantungan pada intuisi tanpa dukungan data seringkali mengakibatkan keputusan yang kurang akurat dan berisiko merugikan. Penelitian ini bertujuan untuk membantu proses pengambilan keputusan penjualan dengan menerapkan metode data mining menggunakan algoritma K-Means Clustering. Metode ini digunakan untuk mengelompokkan data penjualan dari Februari 2024 hingga Januari 2025 ke dalam tiga kategori: produk terlaris, kurang laris, dan tidak laris. Penelitian dilakukan dengan pendekatan kuantitatif, melalui pengumpulan data penjualan serta wawancara langsung dengan pemilik toko. Sistem yang dibangun menggunakan bahasa pemrograman PHP dan database MySQL, serta dirancang dengan alat bantu seperti UML, DFD, dan ERD. Hasil dari sistem klasterisasi ini diharapkan dapat memberikan informasi strategis yang berguna bagi Alya Collection dalam merencanakan stok, promosi, serta pengembangan produk, sehingga mampu meningkatkan penjualan secara efektif dan efisien.
Kata kunci: data mining; k-means clustering; penjualan; alya collection; sistem informasi
Abstract:Abstract: (GIS) application to map the locations of gambier warehouses in Koto XI Tarusan District, Pesisir Selatan Regency. The background of this study is the absence of a reliable information system that can provide accurate…
ccurate spatial data and details about the locations of gambier warehouses. This lack of information often hinders farmers, consumers, and local authorities in accessing and managing data effectively. The application was developed using ArcGIS technology, Java programming language, and Android Studio. Data collection was conducted through field observation and interviews with warehouse owners. The result of this study is an interactive map-based application that simplifies the process of locating gambier warehouses and presents visual data to support strategic decision-making. This application is expected to enhance distribution efficiency and contribute positively to the economic welfare of the local community.
Keywords: geographic information systems; arcgis; kotlin
Abstrak: Penelitian ini bertujuan untuk membangun sebuah aplikasi Sistem Informasi Geografis (SIG) berbasis Android yang dapat memetakan lokasi gudang gambir di Kecamatan Koto XI Tarusan, Kabupaten Pesisir Selatan. Latar belakang dari penelitian ini adalah belum tersedianya sistem informasi yang mampu memberikan data spasial dan informasi yang akurat mengenai letak gudang gambir, sehingga menyulitkan petani, konsumen, maupun pihak pemerintah dalam mengakses dan mengelola informasi tersebut. Dalam proses pengembangan aplikasi ini digunakan teknologi ArcGIS, bahasa pemrograman Java, dan Android Studio. Metode pengumpulan data dilakukan melalui observasi langsung dan wawancara dengan pemilik gudang. Hasil dari penelitian ini adalah sebuah aplikasi yang mampu menampilkan peta interaktif lokasi gudang gambir, mempermudah pengguna dalam pencarian informasi lokasi, dan memberikan data visual yang mendukung pengambilan keputusan strategis. Aplikasi ini diharapkan dapat meningkatkan efisiensi distribusi gambir serta memberikan kontribusi positif terhadap peningkatan kesejahteraan masyarakat lokal.
Kata kunci: sistem informasi geografis; arcgis; kotlin
Abstract:Abstract: Motorcycle sales are one of the key indicators of growth in Indonesia’s automotive industry. CV. Honda Karya Utama, as an authorized Honda motorcycle dealer, faces challenges due to unstable monthly sales fluctuations.…
ctuations. This uncertainty complicates stock planning, marketing strategy formulation, and may lead to potential losses caused by overstocking or understocking. To address these issues, this study aims to analyze the relationship between time and sales volume and to develop a predictive model that can assist management in making more effective business decisions.
The research was conducted using a quantitative method and a machine learning approach by applying a linear regression algorithm, implemented through the Python programming language and a MySQL database. The dataset used consists of monthly sales data over one year, analyzed to predict future sales trends. The results show that the linear regression algorithm can predict sales trends with a good level of accuracy, achieving evaluation values of MAPE 1.72%, MSE 1.76%, and RMSE 0.57. The developed model assists management in formulating marketing strategies, optimizing inventory planning, and minimizing financial risks. Therefore, linear regression can serve as an effective analytical tool to support strategic business decision-making at CV. Honda Karya Utama.
Keywords: motorcycle sales; linear regression; prediction; sales analysis
Abstrak: Penjualan sepeda motor merupakan salah satu indikator penting dalam pertumbuhan industri otomotif di Indonesia. CV. Honda Karya Utama sebagai dealer resmi sepeda motor Honda menghadapi tantangan berupa fluktuasi penjualan yang tidak stabil setiap bulannya. Ketidakpastian ini menyebabkan kesulitan dalam perencanaan stok, penentuan strategi pemasaran, serta berpotensi menimbulkan kerugian akibat kelebihan atau kekurangan persediaan. Untuk mengatasi permasalahan tersebut, penelitian ini bertujuan untuk menganalisis hubungan antara waktu dan jumlah penjualan serta membangun model prediksi yang dapat membantu manajemen dalam pengambilan keputusan bisnis yang lebih efektif. Penelitian dilakukan dengan metode kuantitatif dan pendekatan machine learning menggunakan algoritma regresi linier, dengan implementasi berbasis bahasa pemrograman Python dan basis data MySQL. Data yang digunakan berupa data penjualan bulanan selama satu tahun, yang kemudian dianalisis untuk memprediksi tren penjualan pada periode berikutnya. Hasil penelitian menunjukkan bahwa regresi linier mampu memprediksi tren penjualan dengan tingkat akurasi yang baik, dengan nilai evaluasi MAPE sebesar 1,72%, MSE 1,76%, dan RMSE 0,57. Model ini membantu manajemen dalam menyusun strategi pemasaran, mengoptimalkan perencanaan stok, serta meminimalkan risiko kerugian. Dengan demikian, regresi linier dapat menjadi alat bantu yang efektif dalam mendukung keputusan bisnis di CV. Honda Karya Utama.
Kata kunci: penjualan sepeda motor; regresi linier; prediksi; analisis penjualan
Abstract:Abstract: The advancement of information technology has significantly impacted the business world, including the measurement of sales performance. PT Panca Niaga Jaya Lestari, as a food distribution company, still conducts…
ts performance evaluations manually, which leads to subjectivity and delays in the evaluation process. This study aims to design a web-based decision support system using the MOORA method to produce objective, fast, and accurate assessments. The system is developed using PHP and MySQL, with evaluation criteria including discipline, teamwork, sales volume, and length of service. The implementation results show that the system is capable of performing calculations and ranking sales performance in a measurable manner. This application assists supervisors and managers in conducting evaluations and accelerates decision-making processes. The final results indicate that Afril Handoko achieved the highest score of 0.3802. This system is effective in improving efficiency and reducing subjectivity in sales performance evaluation.
Keywords: decision support system; sales performance; MOORA; PHP; MySQL
Abstrak: Perkembangan teknologi informasi memberikan dampak besar pada dunia bisnis, termasuk dalam pengukuran kinerja sales. PT Panca Niaga Jaya Lestari sebagai perusahaan distributor pangan masih melakukan penilaian secara manual, sehingga menimbulkan subjektivitas dan keterlambatan evaluasi. Penelitian ini bertujuan merancang sistem pendukung keputusan berbasis web menggunakan metode MOORA untuk menghasilkan penilaian yang objektif, cepat, dan akurat. Sistem dikembangkan dengan PHP dan MySQL, dengan kriteria penilaian meliputi kedisiplinan, kerja sama tim, jumlah penjualan, dan masa kerja. Hasil implementasi menunjukkan sistem mampu melakukan perhitungan dan perangkingan kinerja sales secara terukur. Aplikasi ini memudahkan supervisor dan manajer dalam evaluasi serta mempercepat pengambilan keputusan. Hasil akhir menunjukkan Afril Handoko memperoleh nilai tertinggi sebesar 0,3802. Sistem ini efektif meningkatkan efisiensi dan mengurangi subjektivitas dalam penilaian kinerja sales.
Kata kunci: sistem pendukung keputusan; kinerja sales; MOORA; PHP; MySQL
Abstract:Abstract: In this study, an analysis of the use of the Naive Bayes algorithm for sentiment analysis of reviews from Shopee app users on the Google Play Store was conducted, with classification divided into three categories:…
es: positive, negative, and neutral. To improve data quality, a preprocessing process was carried out with stages of cleaning, case folding, normalization, stop word removal, stemming, and tokenizing. Next, the text is formatted using the TF-IDF method to facilitate classification. For this data, the Naive Bayes model is used, which has an accuracy rate of 87% in detecting sentiment. Positive and negative categories can be easily identified compared to neutral sentiments due to the smaller amount of neutral data. Overall, the Naive Bayes algorithm successfully analyzed user sentiments well. The research can be developed with other algorithm methods, such as SVM, K-NN, or Decision Tree, in order to compare the performance of various algorithms.
Keywords: sentiment analysis; naive bayes; user reviews; e-commerce; shopee
Abstrak: Dalam penelitian ini dilakukan analisis penggunaan algoritma Naive Bayes untuk analisis sentimen review dari pengguna aplikasi Shopee di Google Play Store, klasifikasi dibagai menjadi 3 kategori yaitu positif, negatif, dan netral. Untuk meningkatkan kualitas data, dilakukam proses preprocessing dengan tahap cleanimg, case folding, normalisasi, stopword removal, stemming, dan tekonezing. Selanjutnya, teks diformat menggunakan metode TF-IDF untuk memudahkan klasifikasi. Untuk data ini, model Naive Bayes digunakan, yang memiliki tingkat akurasi 87% dalam mendeteksi sentimen. Kategori positif dan negatif dapat dengan mudah diidentifikasi dibadingkan sentiemen netral karena jumlah data netral yang lebih sedikit. Secara keseluruhan, algoritma Naive Bayes berhasil menganalisis perasaan pengguna dengan baik. Penelitian dapat dikembangkan dengan algoritma metode lain, seperti SVM, K-NN, atau Decision Tree, guna membandingkan kinerja berbagai algoritma.
Kata kunci: analisis sentiment; naive bayes; ulasan pengguna; e-commerce; shopee
Abstract:Abstract: PT. Padasa Enam Utama, a palm oil plantation company, currently assesses the quality of Fresh Fruit Bunches (FFB) based solely on physical aspects. They use Microsoft Excel without a specialized application system,…
tem, which can lead to subjective assessments and the risk of fraud. This research aims to develop a predictive system for the quality of Fresh Fruit Bunches. Data collection was conducted using quantitative methods through direct observation and interviews with relevant parties. The study shows that the use of the K-Nearest Neighbor method provides the best accuracy with a more efficient calculation process. With this system, the company’s performance in making decisions regarding FFB quality is expected to improve. The system helps reduce human errors in quality assessments and offers visualizations that make it easier for users to understand the classification of production quality. Although the results are reliable, there is still room for further development, such as improving accuracy through more advanced data preprocessing techniques or using more complex machine learning models.
Keywords: Data Mining; K-Nearest Neighbor algorithm; Fresh Fruit Bunches (FFB); Python; Streamlit.
Abstrak: PT. Padasa Enam Utama, sebuah perusahaan perkebunan kelapa sawit, saat ini menilai kualitas produksi Tandan Buah Segar (TBS) berdasarkan aspek fisik saja. Mereka menggunakan Microsoft Excel tanpa sistem aplikasi khusus, yang dapat menyebabkan penilaian tidak objektif dan risiko kecurangan. Penelitian ini bertujuan untuk mengembangkan sistem prediksi mutu kualitas Tandan Buah Segar. Dalam pengumpulan data, digunakan metode kuantitatif melalui observasi langsung dan wawancara dengan pihak terkait. Penelitian menunjukkan bahwa penggunaan metode K-Nearest Neighbor memberikan akurasi terbaik dengan proses perhitungan yang lebih efisien. Dengan adanya sistem ini, diharapkan kinerja perusahaan dalam membuat keputusan terkait mutu produksi TBS dapat meningkat. Sistem ini membantu mengurangi kesalahan manusia dalam penilaian mutu TBS dan memberikan visualisasi yang memudahkan pengguna memahami klasifikasi mutu produksi. Meskipun telah memberikan hasil yang dapat diandalkan, masih ada ruang untuk pengembangan lebih lanjut, seperti peningkatan akurasi melalui teknik preprocessing data yang lebih canggih atau penggunaan model-machine learning yang lebih kompleks.
Kata kunci: Data Mining; Algoritma K-Nearest Neighbor; Tandan Buah Segar (TBS); Python; Streamlit
Abstract:Abstract: The success of a government agency can be seen from the services provided by the agency itself. Therefore, government agencies must provide optimal services according to the needs of the community so that it is…
easy to carry out administration. Tanjungbalai City Office of the Ministry of Religion in conducting community satisfaction survey activities distributes questionnaires using google form and processes questionnaire data using number processing applications. So that there is no decision support system to accelerate knowing the level of community satisfaction with the services that have been provided. purpose of this study was to determine the level of public satisfaction with Hajj and Umrah Organizer section at the Tanjungbalai City Ministry of Religion Office. In this study the method used is the servqual method with 5 dimensions. Data collection was carried out through a questionnaire given to 30 respondents who had received services from the Hajj and Umrah Organizer section. Based on the results of the study, it is known that 75% people feel very satisfied, 18.75% people feel satisfied, and 16.15% people feel dissatisfied. The results also show that there is one dimension that has a negative value, namely the dimension of physical evidence regarding waiting chairs.
Keywords: Satisfaction; Servqual; Deccission Support.
Abstrak: Keberhasilan suatu instansi pemerintah dapat dilihat dari pelayanan yang diberikan oleh instansi itu sendiri. Oleh karena itu, instansi pemerintah harus memberikan pelayanan optimal sesuai dengan kebutuhan masyarakat agar mudah melakukan administrasi. Kantor Kementerian Agama Kota Tanjungbalai dalam kegiatan survei kepuasan masyarakat melakukan penyebaran kuesioner menggunakan google form dan mengolah data kuesioner menggunakan aplikasi pengolah angka. Sehingga belum ada sistem pendukung keputusan untuk mempercepat mengetahui tingkat kepuasan masyarakat terhadap pelayanan yang telah diberikan. Tujuan dari penelitian ini untuk mengetahui tingkat kepuasan masyarakat terhadap seksi Penyelenggara Haji dan Umrah di Kantor Kementerian Agama Kota Tanjungbalai. Dalam penelitian ini metode yang digunakan adalah metode servqual dengan 5 dimensi. Pengumpulan data dilakukan melalui kuesioner yang diberikan kepada 30 responden yang pernah mendapat pelayanan dari bagian Penyelenggara Haji dan Umroh. Berdasarkan hasil penelitian diketahui 75% masyarakat merasa sangat puas, 18,75% masyarakat merasa puas, dan 16,15% masyarakat merasa tidak puas. Hasil penelitian juga menunjukkan bahwa terdapat satu dimensi yang bernilai negatif yaitu dimensi bukti fisik mengenai kursi tunggu.
Kata kunci: Kepuasan; Servqual; Sistem Pendukung Keputusan.
Abstract:Abstract: Puskesmas as a public health technical service unit (UPT) facilitated by the government. Medical record data at the Sidodadi Health Center is processed manually and has a weakness, which requires a long time to…
find medical record data, because the data is still in the form of print media. The purpose of this study can be to build and design applications that can find out the process of managing patient medical records, to design a medical record information system equipped with facilities to facilitate admins in inputting patient data. This research method is carried out with a qualitative descriptive method approach while the method in system development uses a waterfall model. Based on the results of the following study, the application of this medical record system to conduct examinations on patients based on websites so that it is easier and more accurate. It can be concluded that the medical record system applied based on the Website can manage medical record data faster because the management process is no longer handwritten which results in very long queues so many patients have to wait for medical record examinations
Keywords : e-application; puskesmas; information system.
Abstrak: Puskesmas menjadi layanan kesehatan masyarakat yang difasilitasi oleh pemerintah. permasalahan yang terjadi pada Puskesmas Sidodadi dalam pengolahan ata rekam medis yang dilakukan dengan cara manual, karena data masih berbentuk media cetak. Tujuan penelitian ini dapat membangun dan merancang aplikasi yang dapat mengetahui proses pengelolaan rekam medis pasien, untuk merancang sistem informasi rekam medis yang dilengkapi dengan fasilitas untuk memudahkan admin dalam menginputkan data-data pasien. Metode penelitian ini dilakukan dengan pendekatan metode deskriptif kualitatif sedangkan metode dalam pengembangan sistem menggunakan model waterfall. Berdasarkan hasil penelitian berikut penerapan system rekam medis ini untuk melakukan pemeriksaan pada pasien berbasis website sehingga lebih mudah dan akurat. Dapat disimpulkan system rekam medis yang diterapkan berbasis Website dapat mengelola data rekam medis lebih cepat karena pada proses pengelolaannya tidak lagi ditulis tangan yang mengakibatkan antrian sangat panjang sehingga banyak pasien harus menunggu dalam pemeriksaan rekam medis.
Kata kunci : e-aplikasi; puskesmas; sistem informasi.