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Showing 54 articles found for "Balanced"

COMPARISON OF K-MEANS AND K-MEDOIDS FOR DRUG DATA CLUSTERING

Andika, Tripa, Kurniabudi, Sharipuddin
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

VEGECHAIN: SMART CONTRACT MARKETPLACE FOR VEGETARIAN SUPPLY CHAIN OPTIMIZATION

Febrianti, Eka Lia, Suryadi , Agus, Syafrinal , Ilwan, Andhika, Andhika
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.&#8230; 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

ANDROID-BASED SMART SYSTEM FOR FRUIT SELECTION TO PREVENT TODDLER STUNTING

Riansah, Wahyu, Lumban Gaol, Nur Yanti
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,&#8230; 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    

EXPERT SYSTEM FOR STUNTING DETECTION IN TODDLERS USING DEMPSTER SHAFER METHOD

Apridonal M, Yori, Maharani, Dewi, Prayoga, J
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&#8230; 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

MONITORING SYSTEM AND PERFORMANCE MEASUREMENT USING WEBSITE-BASED BALANCED SCORECARD METHOD

Robby, Suhendra, Mutiah, Nurul, Russi, Ibnur
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&#8230; 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 % . . 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

PENENTUAN PRIORITAS KPI UNTUK PERFORMANCE MEASUREMENT PEMELIHARAAN PLTA MENGGUNAKAN METODE ANALYTICAL HIERARCY PROCESS (AHP)

Meri, Mufrida, Dila, Vera
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&#8230; 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

Analysis Of Load Balance In 20 Kv Distribution Systems On Power Losses

Bambang Winardi, Karnoto Karnoto, Ajub Ajulian ZM
Abstract: Load balancing is one of the things that must be considered by reducing the value of voltage drops or power losses that occur in distribution channels. It is necessary to know the characteristics of the load in an area or&#8230; r area with a balanced supply so that each phase is burdened evenly. Calculating the voltage drop on the distribution network conductors, the voltage drop on the KBN09 Slawi feeder was calculated. What will be calculated here is from the line to the transformer furthest from the GI, namely from the three-phase 20 kV main line, single-phase branching. The results of power calculations from GI Kebasen Tegal show differences between R, S and T phases with three 20 kV phases in pre-balance and post-balance conditions. As written, the value for R wire is 82661.52 W, for S 52613 W, while for the T phase the value is 60127.06 W. Meanwhile, the calculation of power losses from GI Kebasen Tegal shows differences between the R, S and T phases with 1 phase voltage in the conditions before balance and after balanced. On the 3-phase line for the R wire, the power loss decreases from 34,198 W to 17,0425 W, for S it increases from 11,540 W to 19,077 W, while for the T phase the value remains 15,274 W.

Preliminary Evaluation of Gaussian Naive Bayes for Multi-Label Hate Speech and Abusive Language Detection on Indonesian Twitter

Handayani, Tri Pratiwi, Hasyim, Wahyudin, Wati, Nursetia
Abstract: Automatic detection of hate speech and abusive language is crucial for combating online toxicity. This study explores Gaussian Naive Bayes for multi-label classification of hate speech on Indonesian Twitter, including target,&#8230; rget, category, and level. We combined TF-IDF features with contextual BERT embeddings. The model achieved balanced performance for general hate speech and good non-abusive language detection. However, it exhibited limitations with imbalanced data and specific hate speech types. The classifier consistently favored the majority class (non-hateful/non-abusive) across labels, particularly struggling with HS_Gender, HS_Physical, etc. This suggests difficulty detecting less frequent but potentially severe hate speech, likely due to limited training data. Overall accuracy and F1-scores confirm that while Gaussian Naive Bayes is efficient, it lacks robustness for nuanced multi-label classification with imbalanced datasets. This necessitates exploring alternative approaches for effectively detecting specific and less frequent hate speech.

Perancangan dan Pembuatan Sistem Informasi Pemesanan dan Pembayaran Tiket Pada Terminal Terpadu Pulo Gebang Berbasis Web

Prana, Dien Dinu
Abstract: Currently services at Integrated Terminal Pulo Gebang has no online ticket booking so it requires customers to came directly to the counter. That way there can be loss of booking data, double data. And the report on the&#8230; number of passengers is still done manually, So that the impact that occurs is that the report on the company becomes unbalanced with data in the field. From the description of the problems that occur, it is designed and Built a Ticket Booking and Payment System in the Terminal Web-Based Integrated Pulo Gebang that is expected to solve problems that exists. For system modeling using tools, namely Unfield Modelling Language (UML) to create a Use Case Diagram, Actifity Diagram, Class Diagram. The Ticket Booking and Payment System at the Web-Based Pulo Gebang Integrated Terminal uses PHP and My SQL as its database language. 

Islamic Philosophy Of Education As A Basis To Form Spiritual Intelligence And Intellectual

Firmansah Kobandaha, Muh. Rusli, Rakhmawati Rakhmawati, Annisa Nuraisyah Annas
Abstract: The Philosophy of Islamic Education serves as the main foundation that guides the spiritual and intellectual development of each individual. As a solid foundation, this philosophy not only acts as a conceptual framework,&#8230; but also spreads into the essence of education, shaping personality, and directing the mind towards a deeper understanding of knowledge and spirituality. This article aims to contribute to a deeper understanding of how Islamic educational philosophy can be a strong foundation for forming spiritual and intellectual intelligence. The method used is descriptive qualitative with library research, this research does not need to go into the field, but simply utilizes several sources of data in this article is done by searching the literature from various sources online according to the focus of the research. Data acquisition techniques are carried out by searching online books, scientific journals, and Google Scholar sources.The results of the discussion in this article show that Islamic Education Philosophy is the basis for creating spiritual and intellectual intelligence by emphasizing the integration of Islamic values ​​in forming character through holistic education, and involving the principles and indicators of spiritual and intellectual intelligence., as well as the integration of Islamic teachings in the process of forming a balanced character and personality.