UIN (Universitas Islam Negeri) Sunan Kalijaga, Yogyakarta: E-Journal Fakultas Sains dan Teknologi
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Implementasi Load Balancing dengan HAProxy di Sistem Informasi Akademik UIN Sunan Kalijaga
Efficiently managing academic information systems (AIS) is essential for educational institutions to provide reliable services to students and faculty. This research explores the integration of HAProxy load balancing and file synchronization techniques to optimize the performance of AIS. HAProxy is employed to distribute incoming requests across multiple backend servers, and the backend will call web service to access the data saved in the database to facilitate seamless data sharing and access. Additionally, file synchronization mechanisms are implemented to maintain consistency across scripts used in the backend system. The study conducts performance evaluations and benchmarks to assess the impact of HAProxy load balancing and file synchronization on AIS responsiveness and reliability. The results reveal significant system scalability and fault tolerance improvements, reducing downtime and enhancing user experience. This research contributes to optimizing academic information systems, enhancing their ability to handle increased loads, and ensuring the efficient delivery of educational services
Analisis dan Optimalisasi Performa Algoritma Gaussian Naive Bayes pada Prediksi Metabolic Syndrome Menggunakan SMOTE
Metabolic syndrome is a complex global health problem, with symptoms such as abdominal obesity, insulin resistance, high blood pressure, high blood sugar, and abnormal blood lipids. With this global challenge, several studies have attempted to predict these diseases using machine learning methods. However, often, predictions about a disease result in data imbalance where minority classes are underrepresented. To balance the class proportions, the Synthetic Minority Over-sampling Technique (SMOTE) method replicates the minority class samples. In this research, the technique applied to predict is the Gaussian Naive Bayes (GNB) algorithm. The results show an increase in prediction accuracy by 0.2 from 0.81 to 0.83. This study confirms the critical role of the SMOTE oversampling method in machine learning using the Gaussian Naive Bayes (GNB) algorithm in Metabolic Syndrome prediction and its positive impact on diagnostic efficiency and public health
Ensemble Learning pada Kategorisasi Produk E-Commerce Menggunakan Teknik Boosting
The development of e-commerce significantly contributes to technological advancement, especially for businesses adopting the concept. The growth of e-commerce has seen a significant increase, reaching 196.47 million users in 2023. In e-commerce, a wide range of product variations is provided to users, which can lead to errors or confusion in product selection. Product categorization is crucial in e-commerce to assist users in navigating efficiently. However, manual categorization is less effective as it can be time-consuming. This study aims to clarify the factors of concern in grouping using the K-Nearest Neighbors (KNN) algorithm in product categorization on the e-commerce platform. This research focuses on whether the novelty lies in the implemented algorithm, the variables used, or the applied grouping parameters. This work applies the XGBoost algorithm to improve the effectiveness of product categorization in e-commerce through ensemble learning approaches. The research findings indicate that boosting algorithms like XGBoost outperform individual algorithms like KNN regarding classification accuracy. This proves that ensemble learning approaches may greatly enhance product classification in e-commerce. The testing process of the implemented e-commerce system in this study also provides confidence in the theoretical and practical benefits of applying this research to enhance efficiency and user experience in product categorization on the e-commerce platform
SINTESIS DAN KARAKTERISASI KOMPOSIT Fe3O4-MONMORILONIT YANG DIDAPATKAN DARI LEMPUNG ALAM
Telah dilakukan sintesis dan karakterisasi komposit fe3o4-monmorilonit yang didapatkan dari lempung alam. Penelitian ini bertujuan untuk mengetahui karakteristik komposit Fe3O4-montmorilonit yang disintesis dengan metode kopresipitasi dengan atmosfer N2 dan mengetahui pengaruh waktu dan suhu terhadap karakteristik komposit Fe3O4-montmorilonit. Karakterisasi gugus fungsional zeolit menggunakan Spektrofotometer FT-IR dan kristalinitas menggunakan Difraktometer Sinar-X. Prinsip kerja dari penelitian ini adalah disintesisnya suatu nanokomposit Fe3O4-montmorilonit yang digunakan untuk mengadsorpsi logam berat. Pembuatan komposit ini bertujuan untuk meningkatkan kualitas adsorben sehingga dapat menyederhanakan proses pemisahan dan pemisahan dapat lebih baih dari material semula yang belum digabungkan. Hasil penelitian menunjukkan bahwa Karakter komposit Fe3O4-montmorilonit yang diperoleh dari metode kopresipitasi berwarna coklat kehitaman dan memiliki kekuatan magnet yang kuat. Karakter terbaik komposit Fe3O4-montmorilonit diperoleh pada perbandingan konsentrasi [Fe3+]/[Fe2+]=1:1 dengan hasil berat 4,11 gram, berwarna coklat kehitaman dan memiliki puncak Fe3O4 terbanyak. Semakin banyak atau sedikit komsentrasi [Fe3+]/[Fe2+] akan mempengaruhi jenis oksida besi yang terbentuk. Hasil terbaik juga diperoleh pada temperatur 70⁰C, pada temperatur ini tidak terbentuk senyawa maghemit (γ-Fe2O3)
Rest Time Analysis Based on Operator\u27s Workload Using a Physiological Measures at PT. Amanah Insanillahia
Amanah Insanillahia is a manufacturing company that produces bottled drinking water (AMDK). The high demand for drinking water production at PT Amanah Insanillahia requires workers to do their work as much as possible in order to achieve the targets desired by the company. In addition to the targets to be achieved, the company must also pay attention to the operator\u27s workload. Workload related to physical fatigue will reduce performance and increase errors at work. This study aims to determine the operator\u27s rest time using a physiological approach. The method used is quantitative with data collection carried out directly. The object of research is the population of employees in the 220 ml packaging station. Heart rate measurement is done by utilizing the 10-beat method. The results show that the value of K < S, the energy expended during work is less than the standard value of energy expended (men = 5 kcal/min, women = 4 kcal/min), then Rt = 0. This means that the rest time provided by the company is adequate, so there is no need for additional resting time at the 220 ml packaging station
Transforming Tofu Quality Control: Integrating Statistical Process Control, Ishikawa, and Interpretive Structural Modeling for Superior Outcomes: Integrating Statistical Process Control, Ishikawa, and Interpretive Structural Modeling for Superior Outcomes
In a highly competitive market, maintaining high product quality is essential for maintaining customer satisfaction and loyalty. Producers are famous in East Java and face the challenge of ensuring consistent quality products through strict production processes. Know that as easy products broken and soft, needy control of careful quality to meet hope consumers about freshness, texture, and quality in a way whole. Although traditional control methods often fail to overcome the production complex that causes a disabled product. This research proposes integrating Statistical Process Control (SPC), Ishikawa diagrams, and Interpretive Structural Modeling (ISM) to improve control quality. SPC makes it possible to monitor and control production processes in real-time, identify deviations, and repair deviations. However, the SPC limitations include a focus on quantitative data and post-incident detection problems. To overcome root problems, the Ishikawa diagram categorizes the reasons for potency as material, machine, method, power work, and environment. ISM prioritizes action repair based on impact and relationship. Approach This integrated approach provides comprehensive solutions to improve the quality of knowledge. In this study, the control process quality was evaluated using SPC, the cause of defects was identified using Ishikawa diagrams, and priority action repair was performed via ISM. Findings show that SPC directly effectively monitors process control, the Ishikawa diagram identifies main defects, and ISM prioritizes impactful action improvements, emphasizes excessive additions to subtraction materials, and improves health workers’ and mixing process material standards. Approach integrated possible identification of additional problems and improved the quality strategic makes a significant contribution to enhancing product quality knowledge.
 
Server Redundancy: Performa Jaringan Mengunakan DNS Failover MikroTik pada Kasus Private Server dan Public Server
The digitization of user services has increased, in line with the need for VPS and cloud computing services, which are rampant among application and platform developers. Quite a few companies that create applications or application users have servers to handle user needs. Testing is carried out using the ICMP Protocol to get real-time results and can be measured. From Scenario 1, carrying out 20 test requests, we get a packet loss of 5% with RTT Avarage of 195,838ms and Mdev 4,103ms. If you apply DNS failover in scenario 2, the client will likely access the web a little slower, as evidenced by the packet loss being 25% greater in value. Compared to scenario 1, having a high standard deviation (Mdev) of round-trip times is not desirable. This variation is also known as jitter. Increased jitter can cause a bad user experience, especially in real-time audio and video streaming applications. However, this is still understandable because it only has a 1-5 second effect on the service. Next, in scenario 3, we can see that private and public servers have relatively high gab with 0% packet loss, which has a small Mdev value of 0.309ms. Therefore, the DNS failover method is a solution for network administrators who have problems related to server migration between public servers and private servers so that services can run even if a server is maintaining or downlinking
Penerapan Sistem Manajemen Keamanan Informasi ISO 27001 pada Perpusnas RI dalam mendukung Keamanan Tata Kelola Teknologi Informasi
Perpustakaan Nasional RI (Perpusnas) merupakan sebuah institusi yang menyimpan dan mengelola informasi dan pengetahuan nasional, harus memastikan bahwa teknologi informasi yang digunakan dalam operasinya aman dan terlindungi dari serangan siber dan ancaman lainnya. Saat ini manajemen risiko tata kelola teknologi informasi (TI) pada Perpusnas belum diterapkan seperti Standar ISO 27001 tujuan dari penelitian ini adalah menyusun dampak risiko yang ada di Perpustakaan Nasional RI menggunakan standar ISO 27001. Penelitian ini mengadopsi pendekatan kualitatif dan data diperoleh melalui wawancara dengan Ketua Tim Audit Perpusnas yang terlibat dalam manajemen TI. Hasil dari penelitian adalah menemukan beberapa risiko yang masih belum terbaiki. Yang saya temukan diantara adalah atap ruangan yang rusak tidak diperbaiki, beberapa aset yang tidak teridentifikasi, pegawai yang merangkap tugas, dan kekurangannya pegawai. peneliti berharap dengan adanya penelitian ini pihak perpusnas segera diperbaiki untuk pelayanan yang lebih bagus kembali.
Kata kunci: ISMS, ISO 27001, Perpustakaan Nasional RI
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The National Library of Indonesia (Perpusnas) is an institution that stores and manages national information and knowledge, must ensure that the information technology used in its operations is safe and protected from cyber attacks and other threats. Currently, information technology (IT) governance risk management at the National Library has not been implemented according to the ISO 27001 standard. The purpose of this research is to compile the impact of risks that exist in the National Library of Indonesia using the ISO 27001 standard. This study adopted a qualitative approach and the data was obtained through interviews with the chairman. National Library of Indonesia Audit Team involved in IT management. The result of the research is to find some risks that are still not resolved. Researcher find that among them was the damaged roof of the room that was not repaired, several unidentified assets, employees who had multiple tasks, and a shortage of employees With this research, ideally, the National Library of Indonesia will immediately improve it for better service again.
Keywords: ISMS, ISO 27001, RI National Librar
SINTESIS ZEOLIT DAN ZEOLIT TERMODIFIKASI DITIZON DARI ABU DASAR BATUBARA
Sintesis zeolit dan zeolit termodifikasi ditizon dari abu dasar batubara melalui metode peleburan hidrotermal telah berhasil di lakukan. Tujuan dari penelitian ini adalah untuk mengetahui karakterisik abu dasar, mengetahui karakteristik zeolit yang disintesis dari abu dasar batu bara dengan metode peleburan hidrotermal, dan mengetahui pengaruh adsorbsi zeolit terhadap logam Ca. Sampel abu dasar yang telah dilebur dengan NaOH kemudian dipanaskan pada suhu 100 ºC selama 24 jam. Padatan hasil hidrotermal kemudian dinetralkan dengan akuades dan dikeringkan pada suhu 100 ºC selama 1 jam. Karakterisasi pada zeolit sintesis dan zeolit termodifikasi ditizon dilakukan dengan menggunakan XRF, FTIR, XRD, dan GSA. Parameter yang diteliti meliputi pengaruh waktu kontak, konsentrasi awal dan suhu dengan menggunakan metode batch. Hasil karakterisasi abu dasar dengan XRF diketahui kandungan Si sebanyak 82,01% dan Al sebanyak 8,54%. Karakterisasi dengan XRD menunjukkan telah terbentuknya zeolit dengan struktur menyerupai zeolit X, zeolit A, zeolit sodalit. Adapun dengan FTIR, zeolit termodifikasi ditizon ditandai adanya gugus –NH dan – SH. Hasil GSA menunjukkan penambahan ditizon dapat menyebabkan turunnya luas permukaan spesifik zeolit sintesis dari 160,262 m2/g menjadi 69,609 m2/g, berdasarkan model kinetika adsorpsi zeolit sintesis dan zeolit ditizon mengikuti model kinetika pseudo orde kedua dengan nilai R2 masing-masing 0,9989 dengan konstanta laju adsorpsi masing-masing adalah 0,021 g/mg.min-1 dan 0,010 g/mg.min-1. Kesetimbangan adsorpsi ion Ca mengikuti model isoterm Freunlich dengan nilai konstanta adsorben zeolit sintesis sebesar 3,178 dan zeolit termodifikasi ditizon sebesar 2,525)
The Identification and Elimination of Waste Activities in The Gray Yarn Processing Company
This study aims to identify the types of waste and recommend improvements to minimize waste that occurs in the gray yarn processing company. Value Stream Mapping (VSM) is used to analyze the flow of materials and information throughout the production process. The main objective is to identify and eliminate waste, thereby improving efficiency and productivity in manufacturing operations. The biggest types of waste in the grey yarn processing production process of the preparation department are Unnecessary motion and Overprocessing waste types at 30% each, Unnecessary Inventory at 20%, and transportation at 20%. The recommendations given can reduce the overall leadtime from 58967 seconds to 58771 seconds