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Purpose: This paper studies the problem that occurs on material purchase quantity in price uncertainty situation. Larger buying quantity when the price at high will increase the purchase amount while smaller buying quantity could risk the inventory level. The decision on the purchase quantity of a cycle takes future price as input from price prediction output. Design/methodology/approach: This paper examines five price prediction models, Classification and Regression Tree (CART), Random Forest Regressor (RFR), Support Vector Regressor (SVR), Seasonal Autoregressive Integrated Moving Average (SARIMA) and Long Short Term Memory (LSTM) to predict four Petrochemical products, Linear Low Density Polyethylene (LLDPE), Low Density Polyethylene (LDPE), Biaxially Oriented Polypropylene (BOPP) and Cast Polypropylene (CPP) using dataset built from weekly datapoints from January 2020 to June 2023. The most performing model is validated with data from July 2023 to September 2023 where the prediction result is fed into Linear Programming Simplex method to minimize the amount of purchase by making advanced or postpone orders. Findings: Result that RFR performs higher at most products tested, while SVR performs higher in LDPE product. The fitting of RFR and SVR models prediction, as predicted price to Linear Programming that decides optimum purchase quantity, delivers a total 2.2% of purchase amount reduction compared to original purchase quantity reflecting base scenario issued by the planner. Research limitations/implications: This study does not include additional prediction factors such as freight cost and the hyperparameters tuning studies on the existing factors. Originality/value: The novelty of this paper is prediction value is followed up by an optimization model that would guide the Procurement team decisions for future anticipation because imported raw materials should be purchased ahead of time. This research will provide a scientific approach input that would counterbalance or strengthen decision making that is typically made by individuals owning years of experience. This combined approach is rarely researched and has not been done to polymer products.

Abstract Prediction and diagnosis of cardiovascular diseases (CVDs) based, among other things, on medical examinations and patient symptoms are the biggest challenges in medicine. About 17.9 million people die from CVDs annually, accounting for 31% of all deaths worldwide. With a timely prognosis and thorough consideration of the patient’s medical history and lifestyle, it is possible to predict CVDs and take preventive measures to eliminate or control this life-threatening disease. In this study, we used various patient datasets from a major hospital in the United States as prognostic factors for CVD. The data was obtained by monitoring a total of 918 patients whose criteria for adults were 28-77 years old. In this study, we present a data mining modeling approach to analyze the performance, classification accuracy and number of clusters on Cardiovascular Disease Prognostic datasets in unsupervised machine learning (ML) using the Orange data mining software. Various techniques are then used to classify the model parameters, such as k-nearest neighbors, support vector machine, random forest, artificial neural network (ANN), naïve bayes, logistic regression, stochastic gradient descent (SGD), and AdaBoost. To determine the number of clusters, various unsupervised ML clustering methods were used, such as k-means, hierarchical, and density-based spatial clustering of applications with noise clustering. The results showed that the best model performance analysis and classification accuracy were SGD and ANN, both of which had a high score of 0.900 on Cardiovascular Disease Prognostic datasets. Based on the results of most clustering methods, such as k-means and hierarchical clustering, Cardiovascular Disease Prognostic datasets can be divided into two clusters. The prognostic accuracy of CVD depends on the accuracy of the proposed model in determining the diagnostic model. The more accurate the model, the better it can predict which patients are at risk for CVD.

The purpose of this research was to build cloud computing referring to Roadmap for Cloud Computing Adoption (ROCCA) model so that the best strategy could be implemented in PT Matrica Consulting Service. The implementation of cloud computing had five stages modifications ROCCA adoption model. Those stages were analysis, design, adoption, migration, and management. Data were taken from distributing questionnaires and conducted interviews with R&D Manager and analyzed using SWOT analysis. The result is the implementation of cloud computing models, and implementation of private cloud and Software as a Service (SaaS) needs to be modified so it can be implemented properly. The implementation can increase the performance PT Matrica Consulting Service based on the characteristics of the cloud which is flexible and secure to be accessed as long as it is connected to the Internet and maintained properly.

Penelitian ini bertujuan untuk mendeskripsikan model penyelenggaraan pemberdayaan seni batik di SDN di Kecamatan Pandak Kabupaten Bantul. Penelitian ini merupakan penelitian deskriptif dengan pendekatan kualitatif. Penelitian ini dilaksanakan di SDN Jigudan, SDN Gunturan, SDN Ciren yang terletak di sekitar desa Wijirejo Kecamatan Pandak Kabupaten Bantul. Subyek penelitian yakni pengelola sekolah, pendamping dan fasilitator dalam pemberdayaan life skills batik tersebut. Pengumpulan data dilakukan secara bertahap sesuai dengan apa yang menjadi kebutuhan peneliti. Teknik yang digunakan adalah observasi, wawancara dan dokumentasi. Tahapan analisis data dalam penelitian ini yaitu reduksi data, penyajian data dan penarikan kesimpulan. Reduksi data dimaksudkan dengan merangkum data, memilih hal-hal pokok, disusun secara sistematik. Penyajian data bertujuan untuk memudahkan peneliti memahami hasil penelitian yang telah didapatkan. Triangulasi sumber dilakukan untuk menjelaskan validitas data dengan berbagai narasumber dalam mencari informasi yang dibutuhkan. Pelaksanaan program pemberdayaan life skills batik SDN di Kecamatan Pandak dilaksanakan dengan melalui beberapa tahapan yaitu : (1) Menyusun renstra pendidikan dan pelatihan life skills batik melalui pemberdayaan bagi sekolah yang menjadi obyek dan subyek pelatihan. (2) Menyusun : a) kurikulum batik untuk siswa Sekolah Dasar, b) standar kompetensi membatik, c) indikator ketercapaian kompetensi membatik dan mengajar batik untuk para guru, d) menyusun indikator ketercapaian kompetensi membatik bagi siswa Sekolah Dasar. (3) Menyediakan instruktur yang berpengalaman untuk mendukung kegiatan pemberdayaan. (4) Menyusun jadwal pelatihan, jadwal tugas widyaiswara/instruktur. (5) Melaksanakan pemberdayaan dan monitoring pada setiap pelatihan batik. (6) Menyusun format monitoring kegiatan pemberdayaan batik. (7) Melakukan evaluasi dan melaporkan hasil pemberdayaan batik yang telah dilaksanakan setiap 3 bulan kepada pihak Astra International, Tbk. (8) Menggunakan strategi pelatihan in house trainning.

The purpose of this research was to examine the feasibility of the development of mobile enterprise strategic plan, analyze the academic process and the utilization of information technology (IT), and generate documentation IT strategic planning by implementing Mobile Enterprise Architecture in the academic process of Atma Jaya University in Makassar. Data were taken from distributing questionnaires to 297 respondents and conducting interviews to 18 respondents. Data were examined using SWOT analysis, the incorporation of academic scorecard analysis and IT balanced scorecard analysis, financial analysis, as well as analytic hierarchy process (AHP). SWOT analysis results indicate that case study is in a weak position, which possibly never take advantage of opportunities since the weakness of the stand or the power is not enough to work on it. In addition, the results of the performance analysis of the utilization of information technology using the Balanced Scorecard analysis show that the average performance is sufficient. The result of documentation of IT strategic planning was analyzed with financial analysis indicating the feasibility of implementation because it provides benefits for university of 141,32%. Furthermore, Analytic Hierarchy Process (AHP) to determine the priority of IT strategy proposals shows that the main priority is to develop portal for student and lecturer.

The human population significantly increases in crowded urban areas. It causes a reduction of available farming land. Therefore, a landless planting method is needed to supply the food for society. Hydroponics is one of the solutions for gardening methods without using soil. It uses nutrient-enriched mineral water as a nutrition solution for plant growth. Traditionally, hydroponic farming is conducted manually by monitoring the nutrition such as acidity or basicity (pH), the value of Total Dissolved Solids (TDS), Electrical Conductivity (EC), and nutrient temperature. In this research, the researchers propose a system that measures pH, TDS, and nutrient temperature values in the Nutrient Film Technique (NFT) technique using a couple of sensors. The researchers use lettuce as an object of experiment and apply the k-Nearest Neighbor (k-NN) algorithm to predict the classification of nutrient conditions. The result of prediction is used to provide a command to the microcontroller to turn on or off the nutrition controller actuators simultaneously at a time. The experiment result shows that the proposed k-NN algorithm achieves 93.3% accuracy when it sets to k = 5.

Similar to any other governments, Indonesia government has the role of protecting the security of its citizens via the established police unit. However, the executive unit is often unable to provide response in timely manner due to the huge data size. For the reason, an executive information system (EIS) is established in order to provide necessary information to leverage the decision making process. This work intends to establish and evaluate the executive information system and its support to facilitate the efforts to fight crimes in Indonesia territory. The EIS prototype is established and is evaluated on the basis of the six information system success factors where the required data are collected by means of questionnaire. The results suggest that the factors of system quality, information quality, easy-of-use, user satisfaction, and individual and organization impacts are very significant.

This article will explain asynchronous learn- ing system using attractive discussion forums and video teaching materials features for user so that the devel- opment of both features will increase e-learning system usage by students and lecturers which can eventually im- prove the students’ absorption on the provided teaching materials, increase the active participation of students, improve self-learning ability, and to improve the quality of learning materials. The method used in this study by distributing questionnaires in online form to stakeholders users consisting of lecturers and students with the num- ber of respondents is 225 people and author use model ADDIE which focuses on Analysis, Design, Development, Implementation and Evaluation as development design. Results of this study is an application of web-based asynchronous learning which can be used by students and lecturers with the results of the application evaluation is based on a survey to students and lecturers. From this study, can be concluded that to support online learning with asynchronous method using the video learning feature in online lecture needs to be developed in order to support the science transformation process from lecturers to students. Attractive video teaching materials model for students has characteristics such as screen shots and presentation models.

The goals of the thesis were to create a model enterprise architecture strategic planning of IS / IT college in the form of IT blueprint with Zachman framework in STP Trisakti. Data were compiled by the main supporting documentation college events, questionnaires, interviews and field observations. Development of IT blueprint is done by utilizing the methodology of Ward & Peppard framework and EA (Enterprise Architecture) Zachman Framework is mapped into the Framework as the ultimate form of IT blueprint. Data were analyzed using analysis tools for internal and external environment. Internal environmental analysis using Value Chain, CSF (Critical Success Factor), the current application portfolio and Asset / IT, while the external environment analysis using the PEST (Political, Economic, Social, Technological), Porter's five force and the latest technology trends. It also carried defining enterprise architecture in the form of business architecture, data architecture, application architecture and technology architecture. Results of the Analysis were a blueprint IT shaped matrix cell 36 Zachman. It can be concluded that the can are 5 stages of implementation in the IT blueprint STP Trisakti with three major central system development in four areas of development of the IS / IT is the application portfolio, HR IT, Hardware, Software and Networking

The main goal of this research is to analyze and design a database configuration of migration and replication in PT Metro Batavia. Research methodologies used in this research are data collecting, analysis and design model. Data collecting method is conducted with library research and direct survey in the company. Analysis method is conducted by analyzing hangar system, migration and reflection process and the available problems. Design method is conducted by designing a prototype for migration process with the implementation of Oracle SQL Developer and replication process with implementation of Oracle Golden Gate. The result of this research is a prototype for configuration of migration and replication process by using Oracle Golden Gate, which can produce two sets of identical data for the purpose of backup and recovery, and also design a simple tool that is expected to help active-active or active-passive replication process. The conclusion of this research is migration process of MySQL database to Oracle database by using Oracle Golden Gate hasn’t been conducted, because Oracle Golden Gate still has bug related to binary log, so database of migration is conducted by using Oracle Golden Gate. However, replication of bi-directional in between database of Oracle by using Oracle SQL Developer can guarantee data availability and reduce work burden from primary database.

Along with the development of information technology in recent era, a number of new applications emerge, especially on mobile phones. The use of mobile phones, besides as communication media, is also as media of learning, such as translator application. Translator application can be a tool to learn a language, such as English to Bahasa Indonesia translator application. The purpose of this research is to allow user to be able to translate English to Bahasa Indonesia on mobile phone easily. Translator application on this research was developed using Java programming language (especially J2ME) because of its advantage that can run on various operating systems and its open source that can be easily developed and distributed. In this research, data collection was done through literature study, observation, and browsing similar application. Development of the system used object-oriented analysis and design that can be described by using case diagrams, class diagrams, sequence diagrams, and activity diagrams. The translation process used rule-based method. Result of this research is the application of Java-based translator which can translate English sentence into Indonesian sentence. The application can be accessed using a mobile phone with Internet connection. The application has spelling check feature that is able to check the wrong word and provide alternative word that approaches the word input. Conclusion of this research is the application can translate sentence in daily conversation quite well with the sentence structure corresponds and is close to its original meaning.

IT Department in PT MCM has to carry out the duties and functions of developing solution to support the business unit in their operation and gain some benefits which should be obtained by using IT in manufacturing such as increasing efficiency, improving the effectivity in making decision and helping to promote the products. This study aims to design information technology strategic planning in accordance with the strategic plan. The research method is using the IT Strategic Planning framework of Alex Cullen and Marc Cecere. This study uses SWOT and IT Balanced Scorecard to analyze the needs of IT at PT MCM. The results of this study are recommended strategic steps to optimize the implementation of IT in the company to improve the performance from IT division to obtain the benefits by implementing IT in manufacturing and to form IT Blueprint, which is part of the information technology strategic plan in PT MCM.

Besides more complexes, the agricultural product supply chain also was probabilistic, dynamic and higher dependencies. This happened because of the agricultural product was easy broken, the process of planting, the growth and the harvesting depended the season, the yield had variety form and measurement, and the agricultural product was bulky so that the agricultural product was difficult to be handled. The height of the dependency level and the complexity from the supply chain network of the agricultural product made this chain to be more susceptible to the disturbance. The risk of failure for the supply chain could be happen internally (the relations between the organization and the network of the supplier) and externally (between the network of the supplier and its environment). Therefore, the needs for supply chain risk management to avoid a result that can continuously occur at any point in the supply network. The purpose of this study was to describe a model of evaluation and risk management supply chain of agricultural products. Model could identify risks of every level of supply chain and provide solutions that can be done to minimize them. The index value of risk on farm level was 26 % higher than the risk at the level of collector (8.78 %) and distributors (8.31 %). The model can optimize farmers’ planting schedules to reduce supply risk and price, while also optimizing the selection of suppliers at the level of collectors and distributors with the consideration of minimizing risk and optimizing profits. Keywords: Risk evaluation, supply chain management, corn supply risk commodity ABSTRAK Selain lebih kompleks, rantai pasok produk pertanian juga bersifat probabilistik, dinamis dan kebergantungan yang tinggi. Hal ini terjadi karena produk pertanian bersifat mudah rusak, proses penanaman, pertumbuhan dan pemanenan tergantung musim, hasil panen memiliki bentuk dan ukuran yang bervariasi, dan produk pertanian bersifat kamba sehingga produk pertanian sulit untuk ditangani. Tingginya tingkat kebergantungan dan kompleksitas dari jaringan rantai pasok produk pertanian menjadikan rantai pasok lebih rentan terhadap gangguan. Risiko ganguan rantai pasok dapat terjadi secara internal (relasi antara organisasi dengan jaringan pemasok) dan eksternal (antara jaringan pemasok dengan lingkungannya). Oleh karena itu perlu pengendalian risiko rantai pasok agar dapat menghindarkan akibat berkelanjutan yang dapat terjadi pada setiap titik dalam jaringan pasokan. Tujuan dari kajian ini adalah menjelaskan suatu model evaluasi dan manajemen risiko rantai pasok produk pertanian. Hasil validasi model dapat mengidentifikasi risiko setiap tingkatan rantai pasok dan memberikan usulan tindakan yang dapat dilakukan untuk meminimalkan risikonya. Nilai indeks risiko pada tingkat petani sebesar 26 % yang lebih tinggi daripada risiko pada tingkat pengumpul (8,78 %) dan distributor (8,31 %). Model dapat mengoptimalkan jadwal tanam petani untuk mengurangi risiko pasokan dan harga, selain itu juga telah dimodelkan optimasi pemilihan pemasok pada tingkat pengumpul dan distributor dengan pertimbangan minimalisasi risiko dan optimalisasi keuntungan. Kata kunci: Evaluasi risiko, manajemen rantai pasok, risiko pasokan komoditas jagung.