Abstract:Abstract: This community engagement project seeks to improve the efficiency and effectiveness of processed product development by Micro, Small, and Medium Enterprises (MSMEs) in Kalirejo Village, Magelang Regency. The village…
llage is home to various MSMEs producing household food items such as grubi, slondok, etawa goat milk, honey, and other culinary goods. The predominant issues faced by these MSMEs include limited promotional outreach, inadequate marketing strategies, weak branding, and inefficient packaging and distribution systems, all of which hinder community income. Utilizing a Participatory Action Research (PAR) approach, the program provides intensive guidance to MSME actors in enhancing product development, branding, packaging, and digital marketing. The program also supports MSMEs in obtaining legal business documentation, including Business Identification Numbers (NIB), Trade Business Permits (SIUP), and Halal Certification from MUI. The anticipated outcomes include improved product quality and diversity, increased marketing efficiency, broader customer reach through social media, and a higher number of MSMEs with official business permits.
Keywords: SDGs; MSMEs; business legality; product escalation.
Abstrak: Program pengabdian ini bertujuan untuk meningkatkan kualitas serta efisiensi pengolahan produk Usaha Mikro, Kecil, dan Menengah (UMKM) di Desa Kalirejo, Kabupaten Magelang. UMKM di wilayah ini memproduksi beragam makanan rumahan seperti grubi, slondok, susu kambing etawa, madu, dan aneka pangan lainnya. Kendala utama yang dihadapi para pelaku usaha adalah kurang optimalnya promosi, strategi pemasaran yang belum efektif, lemahnya branding, serta kemasan dan distribusi yang belum memadai, yang berdampak pada pendapatan masyarakat. Melalui pendekatan Participatory Action Research (PAR) meliputi perencanaan, tindakan, observasi, dan evaluasi, kegiatan ini memberikan pendampingan intensif dalam aspek pengolahan produk, desain kemasan, branding, serta pemasaran berbasis digital. Selain itu, program ini juga mendukung pengurusan legalitas usaha seperti Nomor Induk Berusaha (NIB), Surat Izin Usaha Perdagangan (SIUP), dan Sertifikat Halal dari MUI. Hasil yang diharapkan adalah peningkatan kualitas produk, jangkauan pemasaran yang lebih luas melalui media sosial, serta bertambahnya jumlah UMKM yang memiliki legalitas resmi.
Kata kunci: SDGs; UMKM; legalitas usaha; ekskalasi produk.
Abstract:The level of health significantly influences the quality of human resources. The family, being the most basic unit of society, has a significant impact on enhancing health outcomes. A mother is suitable for this role, as…
she is responsible for caring for the entire family. Kader PKK (members of the Family Welfare Movement, a community-based women's organization in Indonesia) of RW 04 in Badean Village, Bondowoso District, Bondowoso Regency has an opportunity to enhance their potential through women's empowerment. The distribution of educational and economic levels among people in RW 04, Badean Subdistrict, is uneven, resulting in a disparity in their health status as well. This service activity focuses on empowering women through the implementation of the Participatory Rural Appraisal (PRA) method. The aim is to enhance the quality of community health by conducting counseling and training on preparing nutritious food using Moringa leaves, which are readily accessible to the population. This service activity has enhanced the knowledge and skills of Kader PKK of RW 04 in processing nutritious meals. They can also disseminate the knowledge they have acquired to mothers in their surroundings, thus improving the effectiveness of initiatives to empower women in the healthcare sector.
Keywords: Counseling and training; nutritious meals; kader PKK
Abstrak: Salah faktor yang berperan besar terhadap kualitas sumber daya manusia adalah tingkat kesehatan. Keluarga sebagai kelompok sosial terkecil dalam masyarakat memegang peran penting dalam perbaikan status kesehatan. Peran ini dapat dipegang oleh seorang ibu karena ibulah yang bertugas merawat seluruh keluarga. Salah satu kelompok yang berpeluang dikembangkan potensinya melalui pemberdayaan wanita adalah kader PKK (Pembinaan Kesejahteraan Keluarga) RW 04 Kelurahan Badean Kecamatan Bondowoso Kabupaten Bondowoso. Tingkat pendidikan dan perekonomian warga di lingkungan RW 04 Kelurahan Badean tidak merata, sehingga status kesehatannya juga belum merata. Pada kegiatan pengabdian ini dilaksanakan upaya pemberdayaan perempuan menggunakan metode PRA (Participatory Rural Appraisal) berupa upaya peningkatan kualitas kesehatan masyarakat melalui kegiatan penyuluhan dan pelatihan pembuatan makanan bergizi berbasis daun kelor yang mudah didapat di sekitar lingkungan warga. Dengan adanya kegiatan pengabdian ini pengetahuan dan keterampilan kader PKK RW 04 mengenai pengolahan makanan bergizi menjadi meningkat. Para kader juga dapat menyampaikan ilmu yang diperolehnya kepada para ibu di lingkungannya, sehingga upaya pemberdayaan perempuan dalam bidang kesehatan menjadi lebih optimal.
Kata kunci: Penyuluhan dan pelatihan; makanan bergizi; kader PKK
Abstract:Representing a significant effort to support local economic growth which is an essential goal of the government. This project aimed to transform the packaging of Resky chips into chips in a glass (CIS), enhancing their competitiveness…
ompetitiveness in the digital marketplace. Our partners faced several challenges, including limited knowledge of business management and marketing, insufficient production tools, and a lack of product innovation. The involvement of the community service team has provided renewed hope and guidance to these business owners. To tackle these issues, we utilized a combination of training and mentoring methods. Our training sessions covered key areas such as financial bookkeeping, production management, packaging innovation, marketing strategies, and product digitalization. As a result of these method, our partners have successfully adopted basic bookkeeping practices. The Resky chips have been rebranded with new packaging and labels, along with the introduction of a personal branding strategy for the CIS. They have also secured business license numbers (NIB) and distribution permits (PIRT), and we facilitated their application for a halal certificate. Resky’s Chips are now officially branded as CIS by Khasnah Food n Drink. Additionally, our partners have established a social media, with accounts on Instagram, a Facebook fan page, and a profile on Akkio Smart City, managed by the Gowa Regency Government.
Keywords: Chips; CIS; MSMEs; product digitalization; packaging innovation
Abstrak: Dukungan terhadap UMKM merupakan salah satu gebrakan pemerintah dalam meningkatkan perekonomian lokal. Tujuan dilakukannya PKM ini adalah untuk melakukan transformasi kemasan keripik ubi Resky menjadi keripik CIS (chips in a glass) agar dapat bersaing di dunia digital. Permasalahan utama yang dialami mitra adalah minimnya pengetahuan pemilik usaha dalam manajemen usaha, minimnya pengetahuan pemilik usaha dalam pemasaran, keterbatasan alat produksi dan inovasi produk belum dilakukan. Kehadiran pengusul PKM membawa harapan besar bagi mitra. Metode yang digunakan oleh pengusul yaitu pelatihan dan pendampingan. Pelatihan yang dilakukan meliputi pembukuan keuangan sederhana, managemen produksi, inovasi packaging, serta managemen pemasaran dan digitalisasi produk. Hasil kegiatan yang dilakukan menunjukkan bahwa mitra telah mampu membuat pembukuan sederhana, kemasan baru dari keripik ubi resky telah disertai dengan label, personal branding cips in a glass, nomor izin berusaha (NIB), dan izin edar berupa nomor Pangan Industri Rumah Tangga (PIRT). Pengusul juga telah melakukan pengajuan sertifikat halal untuk mitra. Saat ini keripik Ubi milik Ibu Resky telah berubah nama menjadi Keripik CIS by Khasnah Food n Drink. Mitra juga telah membuat media sosial berupa Instagram, fanpage facebook dan akun di Akkio Smart City milik Pemerintah Kabupaten Gowa.
Kata Kunci: Keripik; CIS; UMKM; digitalisasi produk; inovasi kemasan
Abstract:Abstract: Due to the Covid-19 pandemic, the teaching-learning process for the distribution of information at SMA Negeri 5 Padang is carried out online which has an impact on the learning process and information is not optimal…
timal and impressed. Basically, schools have a source of information which is usually called Mading School during online learning, the process of disseminating information is not optimally accepted by all students. The socialization was carried out by introducing and providing training on the M-Magazine application to students and school teachers which were carried out in a hybrid/semi-offline manner as a substitute for an Android-based school wall magazine. Service activities use the Waterfall model with several stages of activities systematically or sequentially in a hybrid manner, namely Semi online/offline with a series of activities, socializing the making of the M-Magazine application, training, and implementing the M-Magazine application directly to students and teachers. As a substitute for digital school bulletin boards and can be installed on Android Gadgets for every student and teacher so that the process of disseminating information can be carried out optimally without being hindered by place and time and can be used at any time.
Keywords: making school; online; m-magazine; mobile; android.
Abstrak: Akibat Pandemi Covid19 proses belajar-mengajar penyaluran informasi Sekolah SMA Negeri 5 Padang dilakukan secara daring yang berdampak proses pembelajaran dan informasi tidak maksimal serta terkesan. Pada dasarnya Sekolah memiliki sumber informasi yang biasa disebut Mading Sekolah selama pembejaran daring berlangsung proses penyebaran informasi tidak maksimal diterima seluruh siswa. Sosialisasi dilakukan dengan memperkenalkan dan memberikan pelatihan tentang aplikasi M-Magazine kepada siswa dan guru Sekolah yang dilakukan secara hibrid/semi luring sebagaipengganti mading Sekolah berbasis Android. Kegiatan Pengabdian menggunakan model Waterfall dengan beberapa tahapan kegiatan secara sistematis atau berurutan secara hibrid yaitu Semi daring/luring dengan rangkaian kegiatan, sosialisasi pembuatan aplikasi M-Magazine, Pelatihan dan penerapan Aplikasi M-Magazine langsung kepada siswa dan guru. Sebagai pengganti sarana mading sekolah secara digital dan dapat diinstalkan di Gadget Android setiap Siswa dan Guru sehingga proses tersebarnya informasi dapat dilakukan secara maksimal tanpa terhalang tempat dan waktu dan dapat digunakan kapan saja.
Kata kunci: mading sekolah; daring; m-magazine; mobile; android.
Abstract:This study focuses on the development of an Augmented Reality (AR)–based learning application designed to assist students in understanding the mathematical concepts of volume and surface area of three-dimensional geometric…
tric shapes. The development process adopted the Multimedia Development Life Cycle (MDLC) model, which consists of six systematic stages: concept, design, material collecting, assembly, testing, and distribution. The research concentrated on the development and expert validation stages. Validation results from content and media experts indicate that the application meets pedagogical and technical feasibility standards. The content expert confirmed that the materials align with the national mathematics curriculum and are presented in a clear, contextual, and accurate manner, while the media expert highlighted the user-friendly interface, interactive features, and visual appeal of
the application. Theoretically, this AR-based medium bridges the gap between abstract mathematical concepts and concrete visualization by enabling students to interact directly with
virtual 3D objects. Practically, the application enhances learning motivation and engagement by providing dynamic, interactive experiences. Overall, this research contributes to the
advancement of educational technology by offering a systematic model for developing AR-based learning media that support active and meaningful learning in the digital
era.
Abstract:Abstract: Existing IoT anomaly detection studies have achieved high classification performance, but most focus on accuracy and F1-score without explicitly controlling the false positive rate (FPR). In addition, many approaches…
oaches rely on a single detection perspective, limiting their operational reliability. To address this gap, this study proposes a hybrid anomaly detection framework integrating Long Short-Term Memory (LSTM), Shannon entropy, and autoencoder reconstruction error. Shannon entropy is incorporated as an additional feature, while LSTM and the autoencoder capture temporal and reconstruction characteristics. The resulting hybrid representation is processed by a constraint-based threshold selection mechanism that enforces FPR . Experiments on the TON-IoT and Edge-IIoTset datasets achieved average F1-scores of 0.9250 and 0.9934, while maintaining average FPR values of 0.0091 and 0.0714, respectively. Analysis of entropy distributions showed consistent differences between normal and anomalous traffic across both datasets, indicating that Shannon entropy provides discriminative information for anomaly detection. These results demonstrate strong detection performance with controlled false alarms, while ablation studies confirm the significant contribution of Shannon entropy to overall model performance.
Keywords: false positive rate; hybrid deep learning; Internet of Things; network anomaly detection; Shannon entropy
Abstrak: Penelitian deteksi anomali Internet of Things (IoT) telah menunjukkan performa klasifikasi yang tinggi, namun sebagian besar masih berfokus pada accuracy dan F1-score tanpa mengendalikan false positive rate (FPR) secara eksplisit. Selain itu, banyak pendekatan hanya memanfaatkan satu perspektif deteksi sehingga reliabilitas operasionalnya masih terbatas. Untuk mengatasi kesenjangan tersebut, penelitian ini mengusulkan kerangka deteksi anomali hybrid yang mengintegrasikan Long Short-Term Memory (LSTM), Shannon entropy, dan autoencoder reconstruction error. Shannon entropy digunakan sebagai fitur tambahan, sedangkan LSTM dan autoencoder menangkap karakteristik temporal dan deviasi rekonstruksi. Representasi hybrid yang dihasilkan kemudian diproses melalui mekanisme constraint-based threshold selection dengan batas FPR . Hasil pengujian pada dataset TON-IoT dan Edge-IIoTset menghasilkan F1-score rata-rata sebesar 0,9250 dan 0,9934, dengan FPR rata-rata sebesar 0,0091 dan 0,0714. Perbedaan nilai entropy yang konsisten antara trafik normal dan anomali pada kedua dataset menunjukkan bahwa Shannon entropy menyediakan informasi diskriminatif untuk deteksi anomali. Hasil tersebut menunjukkan performa deteksi yang kuat dengan false alarm yang terkendali, sementara studi ablasi mengonfirmasi kontribusi signifikan Shannon entropy terhadap performa model.
Kata kunci: deteksi anomali jaringan; false positive rate; hybrid deep learning; Internet of Things; Shannon entropy
Abstract:Abstract: Mental health issues, particularly depression among young adult university students, are often detected late due to stigma and reluctance to seek medical consultation. The objective of this study is to develop…
an early screening model employing machine learning techniques, specifically the random forest algorithm, on a dataset of 268 students (aged 17-29 years; consisting of 98 males and 170 females) within a multicultural educational setting. The principal challenges associated with this dataset are class imbalance and the potential for data leakage from clinical scores. This study implements a rigorous feature selection approach that involves the elimination of depression score features and the utilization of the Synthetic Minority Over-sampling Technique (SMOTE) to balance the training data distribution. Furthermore, a Threshold Tuning strategy is employed to prioritize detection sensitivity (Recall). The findings indicate that reducing the decision threshold to an optimal value of 0.25 led to a substantial enhancement in the recall value, increasing it from 36% (baseline) to 77%. A feature importance analysis was conducted, the results of which indicated that Total Social Connectedness (ToSC) is the most dominant predictor. In summary, the present study corroborates the notion that optimizing sensitivity through threshold tuning is of paramount importance for medical screening. Furthermore, social isolation factors emerge as more significant indicators of depression risk than demographic attributes.
Keywords: data mining; depression; imbalanced data; random forest; smote; threshold tuning
Abstrak: Masalah kesehatan mental, khususnya depresi di kalangan mahasiswa dewasa muda, sering terdeteksi terlambat akibat stigma dan enggan mencari konsultasi medis. Tujuan studi ini adalah mengembangkan model skrining dini menggunakan teknik machine learning, khususnya algoritma random forest, pada dataset 268 mahasiswa (usia 17-29 tahun; terdiri dari 98 laki-laki dan 170 perempuan) dalam lingkungan pendidikan multikultural. Tantangan utama yang terkait dengan dataset ini adalah ketidakseimbangan kelas dan potensi kebocoran data dari skor klinis. Studi ini menerapkan pendekatan seleksi fitur yang ketat, yang melibatkan eliminasi fitur skor depresi dan penggunaan Teknik Over-sampling Minoritas Sintetis (SMOTE) untuk menyeimbangkan distribusi data pelatihan. Selain itu, strategi Penyesuaian Ambang Batas diterapkan untuk memprioritaskan sensitivitas deteksi (Recall). Hasil penelitian menunjukkan bahwa mengurangi ambang batas keputusan ke nilai optimal 0,25 menyebabkan peningkatan signifikan dalam nilai recall, dari 36% (dasar) menjadi 77%. Analisis pentingnya fitur dilakukan, hasilnya menunjukkan bahwa Total Social Connectedness (ToSC) adalah prediktor yang paling dominan. Secara ringkas, studi ini membenarkan bahwa mengoptimalkan sensitivitas melalui penyesuaian ambang batas sangat penting untuk skrining medis. Selain itu, faktor isolasi sosial muncul sebagai indikator risiko depresi yang lebih signifikan daripada atribut demografis.
Kata kunci: penambangan data; depresi; data tidak seimbang; hutan acak; smote; penyesuaian ambang batas
Abstract:Abstract: The rapid growth of e-commerce in Indonesia has increased consumer interactions with digital platforms, particularly Lazada, Tokopedia, and Blibli, resulting in a large volume of customer reviews that reflect consumer…
onsumer experiences and perceptions but have not been optimally utilized in business decision-making. The main issue addressed in this study is how to process customer review data to generate meaningful information regarding consumer opinions. This research aims to apply web scraping techniques to collect customer review data and conduct sentiment analysis to identify trends in consumer opinions across the three e-commerce platforms. The dataset consists of 3,000 customer reviews, with 1,000 reviews collected from each platform, covering aspects such as shopping experience, service quality, delivery process, and customer satisfaction. The research methodology includes data collection through web scraping, text preprocessing for data cleaning and normalization, sentiment analysis using machine learning approaches, and visualization of sentiment results. The findings indicate differences in the distribution of positive, negative, and neutral sentiments across platforms, reflecting variations in consumer experiences and service strategies. These results demonstrate that sentiment analysis based on customer reviews can serve as strategic input to improve service quality, business performance, and marketing strategies in Indonesia’s e-commerce sector.
Keywords: customer reviews; digital services; e-commerce; sentiment analysis; web scarping
Abstrak: Pertumbuhan pesat e-commerce di Indonesia meningkatkan interaksi konsumen dengan platform digital, khususnya Lazada, Tokopedia, dan Blibli, yang menghasilkan ulasan pelanggan dalam jumlah besar sebagai cerminan pengalaman dan persepsi konsumen, namun belum dimanfaatkan secara optimal dalam pengambilan keputusan bisnis. Permasalahan utama penelitian ini adalah bagaimana mengolah data ulasan tersebut agar dapat memberikan informasi yang bermakna mengenai opini konsumen. Penelitian ini bertujuan menerapkan web scraping untuk mengumpulkan data ulasan pelanggan serta melakukan analisis sentimen guna mengidentifikasi tren opini konsumen pada ketiga platform e-commerce tersebut. Data yang digunakan berjumlah 3.000 ulasan pelanggan, dengan masing-masing platform diwakili oleh 1.000 ulasan yang mencakup pengalaman berbelanja, kualitas layanan, proses pengiriman, dan tingkat kepuasan pelanggan. Metode penelitian meliputi pengambilan data menggunakan web scraping, pra-pemrosesan teks untuk pembersihan dan normalisasi data, analisis sentimen dengan pendekatan pembelajaran mesin, serta visualisasi hasil sentimen. Hasil penelitian menunjukkan adanya perbedaan distribusi sentimen positif, negatif, dan netral pada setiap platform, yang mencerminkan variasi pengalaman konsumen dan strategi layanan. Temuan ini menunjukkan bahwa analisis sentimen berbasis ulasan pelanggan dapat menjadi masukan strategis untuk meningkatkan kualitas layanan, kinerja bisnis, dan strategi pemasaran e-commerce di Indonesia.
Kata kunci: customer reviews; digital services;e-commerce;sentiment analysis;web scarping
Abstract:Abstract: Distributors in the Fast Moving Consumer Goods (FMCG) sector, such as CV. Sahabat Jaya Sukses, face significant challenges in inventory control, particularly related to product expiration and stock discrepancies…
s caused by manual recording. This study aims to design and implement a web-based Supply Chain Management (SCM) system that integrates the flow of goods from suppliers to retailers by applying the First Expired First Out (FEFO) method to minimize financial losses due to expired products. The research methodology employs the Waterfall model, which is selected because of its structured and systematic development stages and its suitability for systems with clear and stable requirements, facilitating effective analysis, design, implementation, and testing processes. The research stages include requirements analysis, system design, implementation, and testing. The results show that the SCM system successfully integrates data across the entire supply chain, automates inventory recording, and effectively prioritizes product distribution based on the nearest expiration dates. Black Box testing confirms that all system functionalities, including FEFO logic, operate properly, thereby improving operational efficiency and data accuracy.
Keywords: supply chain management; FEFO; web-based system; distributor; inventory
controls
Abstrak: Distributor di sektor Fast Moving Consumer Goods (FMCG) seperti CV. Sahabat Jaya Sukses menghadapi tantangan dalam pengendalian persediaan, khususnya terkait produk kedaluwarsa dan selisih stok akibat pencatatan manual. Penelitian ini bertujuan merancang dan mengimplementasikan sistem Supply Chain Management (SCM) berbasis web yang mengintegrasikan aliran barang dari pemasok hingga pengecer dengan menerapkan metode First Expired First Out (FEFO) untuk meminimalkan kerugian akibat produk kedaluwarsa. Metodologi penelitian menggunakan model Waterfall yang dipilih karena memiliki tahapan pengembangan yang terstruktur, sistematis, dan sesuai dengan kebutuhan sistem yang jelas serta stabil, sehingga memudahkan proses perancangan, implementasi, dan pengujian. Tahapan penelitian meliputi analisis kebutuhan, desain sistem, implementasi, dan pengujian. Hasil penelitian menunjukkan bahwa sistem SCM berhasil mengintegrasikan data di seluruh rantai pasok, mengotomatisasi pencatatan stok, serta memprioritaskan distribusi barang berdasarkan tanggal kedaluwarsa terdekat. Pengujian Black Box membuktikan bahwa seluruh fungsi sistem, termasuk logika FEFO, berjalan dengan baik sehingga meningkatkan efisiensi operasional dan akurasi data.
Kata kunci: distributor; FEFO; manajemen rantai pasok; pengendalian stok; sistem berbasis web
Abstract:This study aims to apply the Analytic Network Process (ANP) method as a decision support tool in determining the eligibility of education grant recipients in North Sumatra Province. The background of this research arises…
from the large number of grant applicants compared to the available budget, as well as the absence of clear and objective evaluation standards. The ANP method was chosen because it allows the interdependence between assessment criteria such as institutional feasibility, performance and achievement, social and educational impact, and accountability and transparency to be analyzed comprehensively. Data were obtained through interviews, documentation, and observation at the North Sumatra Provincial Education Office. The results of the ANP model show that the criterion with the highest weight is accountability and transparency (0.44), followed by social and educational impact (0.31). Among the three alternatives, community-based education foundations (A2) obtained the highest total weight (0.30), indicating that they are the most eligible recipients of education grants. The implementation of the ANP-based decision support system produces valid and consistent ranking results (CR < 0.1), enabling faster, fairer, and more transparent decision-making. Therefore, the ANP method contributes significantly to improving governance, objectivity, and accountability in the distribution of education grants in North Sumatra Province.