Abstract:Abstract: The Community Service Program, LDDIKTI 3 in collaboration with DITJENDIKTIRISTEK and Universities launched an Incentive Program for Assignment to Private Universities for the Implementation of Community Service…
in the Cianjur Earthquake Area based on Key Performance Indicators with a focus on the goal of Recovery for Victims of the Cianjur Earthquake Natural Disaster, West Java. From the results of observations made in the Cianjur and surrounding areas which were affected by the earthquake, many locations in Wangunjaya Village, Cugenang Regency, have not been touched and received assistance. Many people in this area experience health problems due to unbalanced nutritional intake and unclean lifestyle, damage to learning tools in schools and early childhood education, especially at SMPN 2 Cugenang and in early childhood education. The aim of the activity is to improve public health from a physical and mental perspective and to help restore education using digital learning. The activities carried out included conducting free examinations and treatment, teaching Progressive Muscle Relaxation (PMR) therapy to reduce anxiety in the community, distributing healthy food parcels, providing trauma healing for school children, and providing school facilities for schools.
Keywords: cianjur earthquake; cugenang; community service; educational facilities; health recovery.
Abstrak: Program Pengabdian Masyarakat, LDDIKTI 3 bekerjasama dengan DITJENDIKTIRISTEK dan Perguruan Tinggi mencanangkan Program Insentif Penugasan kepada Perguruan Tinggi Swasta untk Pelaksanaan Pengabdian Kepada Masyarakat di Wilayah Gempa Cianjur berbasis Kinerja Indikator Kinerja Utama dengan fokus tujuan Pemulihan Korban Bencana Alam Gempa Cianjur Jawa Barat. Dari hasil pengamatan yang dilakukan di daerah Cianjur dan sekitarnya yang terkena dampak gempa, lokasi Desa Wangunjaya Kabupaten Cugenang masih banyak yang belum tersentuh dan mendapatkan bantuan. Para masyarakat didaerah ini banyak yang mengalami masalah kesehatan karena asupan gizi yang tidak seimbang serta perilaku hidup yang tidak bersih, kerusakan alat-alat pembelajaran di sekolah dan PAUD khususnya di SMPN 2 Cugenang dan di PAUD. Tujuan kegiatan adalah untuk meningkatkan kesehatan masyarakat dari segi jasmani serta mental dan membantu memulihkan Pendidikan menggunakan pembelajaran digital. Kegiatan yang dilakukan adalah melakukan pemeriksaan dan pengobatan gratis, mengajarkan terapi Progressive Muscle Relaxation (PMR) untuk menurunkan ansietas pada masyarakat, membagikan parcel makanan sehat, memberikan trauma healing bagi anak sekolah, serta memberikan bantuan fasilitas sekolah bagi sekolah. Hasil dari kegiatan ini menunjukkan bahwa terjadinya peningkatan perasaan bahagia siswa dan masyarakat (+52%), siswa menjadi bisa merasakan pembelajaran digital (+34%) dan masyarakat menjadi lebih merasakan jasmani yang lebih sehat (+17%).
Kata kunci: cugenang; fasilitas pendidikan; gempa cianjur; pemulihan kesehatan; pengabdian masyarakat.
Abstract:Abstract: Nutritional intake for early childhood is very important, therefore parents must understand more about the fulfillment of nutritional intake for children and be wiser in creating various nutritious foods such as…
s vegetables and fruits. The method used in this research is descriptive analytical qualitative method. This research was conducted in Sukamantri Village, Paseh District, Bandung Regency, which was carried out for 10 days. Respondents in this study were parents who lived in Sukamantri village, especially Mrs. Siti Jenab's family, which amounted to 5 people with the provision that having an early age child was very difficult to eat a balanced nutritional intake such as vegetables and fruits. Based on the results of interviews that have been conducted, it can be concluded that the method of creating food such as fruit and vegetables into nuggets, puddings and others can be very effective in making children like vegetables and fruit more. The purpose of this service is expected to be very helpful for the community in Sukamantri Village, Paseh District, Bandung Regency in choosing balanced nutritional intakes, one of which is by creating food.
Keyword: early childhood; nutrition improvement; vegetable and fruit processing
Abstrak: Asupan gizi untuk anak usia dini sangat penting, oleh karena itu orang tua harus lebih paham akan pemenuhan asupan gizi untuk anak dan lebih bijaksana dalam mengkreasikan aneka makanan yang bergizi seperti sayuran dan buah buahan. Metode yang digunakan dalam penelitian ini adalah metode kualitataif deskriptif analitis Penelitian ini dilakukan di Desa Sukamantri Kecamatan Paseh Kabupaten Bandung, yang dilakukan selama 10 hari. Responden dalam penelitian ini yaitu orang tua yang berada di desa Sukamantri terkhusus keluarga Ibu Siti Jenab yang berjumlah 5 orang dengan ketentuan memiliki anak usia dini yang sangat sulit memakan makanan asupan gizi yang seimbang seperti sayuran dan buah buahan. Berdasarkan hasil wawancara yang telah dilakukan dapat disimpulkan bahwa metode mengkreasikan makanan seperti buah dan sayur menjadi nugget, puding dan lainnya dapat sangat efektif untuk membuat anak lebih menyukai sayur dan buah. Tujuan pengabdian ini diharapkan akan sangat membantu masyarakat di desa Sukamantri Kecamatan Paseh Kabupaten Bandung dalam memilih asupan-asupan gizi yang seimbang salah satunya dengan cara mengkreasikan makanan.
Kata kunci: anak usia dini; perbaikan gizi; pengolahan sayuran dan buah-buahan.
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: Asthma is a chronic respiratory disease that affects millions of people worldwide, making early detection crucial to prevent complications. This study aims to compare the performance of the Decision Tree and Random…
ndom Forest algorithms in classifying asthma based on clinical symptom data. The data were processed through feature selection and model training stages, then evaluated using accuracy, precision, recall, and F1-score.The experimental analysis revealed that the Random Forest algorithm surpassed the Decision Tree in all metrics, achieving 95.19% accuracy, 90.43% precision, 95.00% recall, and 93.00% F1-score. In contrast, the Decision Tree obtained 89.14% accuracy, 90.60% precision, 88.70% recall, and 89.70% F1-score. These results suggest that Random Forest is more robust and dependable, especially in managing complex and imbalanced medical datasets.
Keywords: asthma detection; decision tree; random forest; machine learning.
Abstrak: Asma merupakan penyakit pernapasan kronis yang memengaruhi jutaan orang di seluruh dunia sehingga deteksi dini sangat penting untuk mencegah komplikasi. Penelitian ini bertujuan membandingkan kinerja algoritma Decision Tree dan Random Forest dalam mengklasifikasikan asma berdasarkan data gejala klinis. Data diproses melalui tahapan seleksi fitur dan pelatihan model, kemudian dievaluasi menggunakan akurasi, presisi, recall, dan F1-score. Hasil penelitian menunjukkan bahwa Random Forest memberikan performa terbaik dengan akurasi 90.43%, presisi 95.00%, recall 95.00%, dan F1-score 93.00%. Sebaliknya, Decision Tree memperoleh akurasi 89.14%, presisi 90.60%, recall 88.70%, dan F1-score 89.70%. Hasil ini menunjukkan bahwa Random Forest lebih kuat dan dapat diandalkan, terutama dalam mengelola kumpulan data medis yang kompleks dan tidak seimbang.
Kata kunci: deteksi asma; decision tree; random forest; pembelajaran mesin.
Abstract:Abstract: Ineffective drug demand management can lead to problems such as imbalanced drug distribution, excess stock, or shortages in community health centers. To address this, data mining can be utilized to support the…
planning and control process of drug inventory. Clustering techniques were chosen because they are able to group drug data based on certain characteristics, thus identifying stable and unstable drug supply patterns. This study aims to group drug data at Simpang Kawat Community Health Center in Jambi City, which can be used as a reference in planning drug needs in the next period. Data grouping is divided into three categories: slow-moving, medium-moving, and fast-moving. The research data includes attributes of drug name, initial stock, receipt, inventory, usage, and final stock, with a total of 1758 data sets, which were processed using the CRISP-DM framework through the RapidMiner application. Cluster quality evaluation was carried out using the Davies-Bouldin Index (DBI). The results showed that the K-Means algorithm obtained a DBI value of 0.175, smaller than K-Medoids which obtained a value of 0.354. Because a smaller DBI value indicates better cluster quality, K-Means provides more optimal clustering results than K-Medoids. Through these clustering results, community health centers can utilize drug cluster information to support more efficient drug procurement planning, as well as reduce the risk of excess or shortage of stock.
Keywords: data mining; clustering; k-means; k-medoids; davies-bouldin index
Abstract:Abstract: The global transition towards sustainable food systems faces significant challenges in vegetarian food supply chains, including transparency issues, distribution inefficiencies, and quality verification problems.…
s. This research proposes VegeChain development, a decentralized marketplace ecosystem based on smart contracts designed to transform vegetarian food supply chains and accelerate Meatless, Balanced, Green (MBG) program adoption. Using mixed-method methodology integrating blockchain system design, stakeholder analysis, and economic simulation, this research develops a comprehensive technology framework combining blockchain transparency, smart contract automation, and sustainable tokenomics with novel mathematical models. The system implements dynamic pricing algorithms based on Automated Market Maker (AMM) mechanisms, multi-objective optimization for supply chain efficiency, and reputation-based consensus protocols. Simulation results demonstrate that VegeChain implementation can improve supply chain efficiency by 35%, reduce food waste by 28%, and increase consumer trust by 42% measured through validated stakeholder satisfaction surveys (n=456) using 5-point Likert scales with statistical significance p<0.001. Technical innovations include Byzantine Fault Tolerant consensus with 99.9% reliability, gas optimization achieving 67% cost reduction, and real-time quality verification algorithms with 98.7% accuracy.
Keywords: smart contracts; supply chain optimization; automated market makers; blockchain technology; sustainable tokenomics
Abstract:Abstract: Preventing stunting in toddlers is crucial for improving children's health and growth. Stunting occurs due to chronic nutritional deficiencies during the first 1,000 days of a child's life, affecting their height,…
ht, cognitive development, and immune system, which can reduce their future potential. Fruits play an important role in a toddler's diet because they are rich in vitamins, minerals, fiber, antioxidants, and other bioactive compounds that support physical growth and brain development. However, selecting the right fruits is vital because some fruits can cause digestive issues or allergies in toddlers. To assist parents in choosing the right fruits, a mobile-based expert system using the Certainty Factor method has been developed. This system provides recommendations based on the toddler's health condition and evaluates the nutritional content of fruits. With this system, parents can ensure that their toddlers receive optimal nutrition, contributing to stunting prevention and ensuring that the toddlers grow up healthy, intelligent, and with full potential in the future Choosing the right fruits and maintaining a balanced nutrition are crucial parts of supporting the sustainability of stunting prevention efforts.
Keywords: certainty factor method; expert system; fruit selection; stunting prevention; toddler nutrition
Abstrak: Pencegahan stunting pada batita sangat penting untuk meningkatkan kualitas kesehatan dan pertumbuhan anak. Stunting terjadi akibat kekurangan gizi kronis pada 1.000 hari pertama kehidupan batita, memengaruhi tinggi badan, perkembangan kognitif, dan sistem imun anak, yang berisiko mengurangi potensi masa depan mereka. Buah-buahan memiliki peran penting dalam pola makan batita, karena kaya akan vitamin, mineral, serat, antioksidan, dan senyawa bioaktif yang mendukung pertumbuhan fisik dan perkembangan otak. Namun, pemilihan buah yang tepat sangat penting karena beberapa buah dapat menyebabkan masalah pencernaan atau alergi pada batita. Untuk membantu orang tua dalam memilih buah yang sesuai, dikembangkan sistem pakar berbasis mobile dengan metode Certainty Factor. Sistem ini memberikan rekomendasi berdasarkan kondisi kesehatan batita, serta mengevaluasi kandungan nutrisinya. Dengan sistem ini, orang tua dapat memastikan bahwa batita mendapatkan nutrisi yang optimal dengan berkontribusi dalam pencegahan stunting dengan memastikan batita tumbuh sehat, cerdas, dan memiliki potensi penuh di masa depan. Pemilihan buah yang tepat dan nutrisi yang seimbang menjadi bagian penting dalam mendukung upaya keberlanjutan pencegahan stunting.
Kata kunci: batita; metode certainty factor; pemilihan buah; pencegahan stunting; sistem cerdas
Abstract:Abstract: Stunting is a chronic or chronic malnutrition that can be seen in the height of toddlers shorter than toddlers their age. the prevalence of toddlers affected by stunting nationally was 37.6 percent (2007) and decreased…
ecreased to 35.8 percent (2010). However, it increased to 37.2 percent (2013) and decreased again to 29.9 percent (2018). The data shows an erratic stunting prevalence. Many factors influence stunting, especially parents' knowledge about balanced nutrition that prevents stunting. Prevention of stunting needs to be done by monitoring nutritional status regularly and fulfilling balanced nutrition for toddlers. For early detection of stunting, an expert system using the Dempster Shafer method is needed. The Dempster Shafer method allows decision making based on various possibilities based on symptoms in toddlers. The results of the expert system calculation show that the Dempster Shafer method can detect stunting in toddlers by more than 90%.
Keywords: dempster shafer; expert system; stunting
Abstrak: Stunting yaitu kekurangan gizi menahun atau kronis yang dapat terlihat pada tinggi badan balita lebih pendek dari balita seusianya. pravelensi balita yang terjangkit stunting secara nasional sebesar 37,6 persen (2007) dan mengalami penurunan menjadi 35,8 persen (2010). Namun meningkat menjadi 37,2 persen (2013) dan menurun kembali menjadi 29,9 persen (2018). Data tersebut menunjukkan pravelensi stunting yang tidak menentu. Banyak faktor yang mempengaruhi stunting khususnya pengetahuan orang tua mengenai gizi seimbang pencegah stunting. Pencegahan stunting perlu dilakukan dengan pemantauan status gizi secara berkala dan pemenuhan gizi seimbang Balita. Untuk deteksi stunting sejak dini dibutuhkan seuatu sistem pakar menggunakan metode dempster shafer. Metode dempster shafer memungkinkan pengambilan keputusan berdasarkan berbagai kemungkinan berdasarkan gejala pada balita. Hasil perhitungan sistem pakar menunjukkan bahwa metode dempster shafer dapat mendeteksi stunting balita lebih sebesar 90%.
Kata kunci: dempster shafer; sistem pakar; stunting
Abstract:Abstract : Directorate General of State Assets West Kalimantan Regional Office each year has a work program provided by the central DJKN that must be completed, The work program is carried out with the target set by the…
central DJKN. DJKN has a standard method in measuring each work plan program, namely using the Balanced Scorecard method, But in its application there are still many processes in measuring and monitoring plans that are done manually so that business processes are carried out for a long time and are ineffective and without an information system, the monitoring process cannot be done in real time anywhere and anytime so that some work plans are late accordingly. with targets that will directly affect performance. This study aims to cut the manual business process by using a website-based performance monitoring and measurement system so that it is hoped that the performance monitoring process can be carried out optimally in real time and easily. The results of this research are in the form of a website-based performance monitoring and measurement system that has been tested for system functionalities and system interfaces by obtaining results according to each functional system and system interface available and testing for users at the Directorate General of State Assets West Kalimantan Regional Office obtaining a percentage of 88.55 % .
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Keywords : Balanced Scorecard ; DJKN ; Monitoring ; Performance Measurement
Abstract : Directorate General State Assets (DGST ) West Kalimantan Regional Office every year year have a given work program by the central DJKN which must completed , work program implemented with the target that has been set by the central DJKN . DJKN has standard method in measure every program plan work that is use the Balanced Scorecard method, but in implementation still many processes in measure and monitoring plan work done manually so that the business processes that are run eat long time and no effective as well as without existence system information make the monitoring process not can done by realtime everywhere and any time so that make a number of plan work late no in accordance with a target that direct will influence performance . Study this aim cut those manual business processes with use monitoring system and measurement performance web -based so that expected performance monitoring process could done by maximum with easy and realtime , Results study this in the form of monitoring system and measurement performance based on a website that has been tested functional system and interface system with get results in accordance will every functional system and interface existing system _ and testing to users at the West Kalimantan Regional Office DJKN get results percentage 88.55%.
Keywords: Balanced Scorecard ; DJKN ; Monitoring ; Performance Measurement
Abstract:Abstract : Currently hydropower is a power plant that has a high potential to be developed in Indonesia because it has an adequate water source. Evaluation of plant maintenance performance becomes one important factor because…
cause it is one of the company's strategy to achieve its goals. For that we need a method to determine the priority of KPI where the company prioritized that can provide a balanced point of view of the overall system performance one of them is by implementing Analytical Hierarcy Process (AHP). Based on the AHP method of 16 KPIs consisting of 6 KPIs for Corporate Level, 6 KPIs for Strategic Level and 4 KPIs for Functional Level. From the results of the assessment of respondents involved KPI is the most prioritized PLTA LubukGadang Power Plant, South Solok Regency is known that the most priority factor companies at corporate level that is the number of kWh produced with a weight of 0.420. For strategic level that is capacity factor with weight 0,478 while for functional level that is rework maintenance with weight equal to 0,540.
KeyWord :Decision Support System, KPI, AHP,CompanyStrategy, Weighting
Abstrak :Saat ini PLTA merupakan pembangkit listrik yang memiliki potensi yang tinggi untuk dikembangkan di Indonesia karena memiliki sumber air yang memadai.Evaluasi kinerja pemeliharaan pembangkit menjadi salah satu faktor yang penting karena merupakan salah satu strategi perusahaan untuk mencapai tujuannya.Untuk itu diperlukan suatu metode untuk menentukan prioritas KPI mana yang diprioritaskan perusahaan yang dapat memberikan sudut pandang yang seimbang terhadap keseluruhan system kinerja salah satu diantaranya adalah dengan mengimplementasikan Analytical Hierarcy Process (AHP). Berdasarkan metode AHP dari 16 KPI yang terdiri dari 6 KPI untuk Corporate Level, 6 KPI untuk Strategic Level dan 4 KPI untuk Functional Level. Dari hasil penilaian responden yang terlibat didapatkan KPI yang paling diprioritaskan PLTA Unit Pembangkit Listrik Lubuk Gadang, Kabupaten Solok Selatan diketahui bahwa faktor yang paling diprioritaskan perusahaan pada corporate level yaitu banyaknya kWh yang diproduksi dengan bobot 0,420. Untuk strategic level yaitu capacity factor dengan bobot 0,478 sedangkan untuk functional level yaitu maintenance rework dengan bobot sebesar 0,540.
KeyWord :Sistem Pengambilan Keputusan, KPI, AHP, strategi perusahaan, pembobotan