bluuebunny/crossref_metadata_2025 huggingface dataset:
Sistem Monitoring dan Deteksi Dini Pencemaran Udara Berbasis Internet Of Things (IOT)
Authors: Hasanuddin Muhammad , Herdianto Herdianto
Published: October 2023

The problem of environmental pollution has been a concern for a long time and continues to be an important issue today. One form of pollution that is very detrimental is air pollution, which causes a decrease in air quality and disrupts its normal function. . The ISPU Scale usually consists of several categories that describe the level of air quality, such as the range 1-50 is said to be "Good", the range 51-100 is said to be "Moderate", the range 101-200 is said to be "Unhealthy", the range 201-300 is said to be "Very Unhealthy", and a range of 301+ is said to be "Dangerous". To monitor the level of air pollution, it is necessary to use a tool that can measure air quality accurately. Indoor pollution, as is often the case in office environments, is one of the most serious threats to the health of modern society. A worker can spend up to eight hours a day in the room. The air we breathe everyday comes from the building's air duct system. However, these duct systems not only circulate air, they can also spread contaminants from one room to another. Therefore, it is important to maintain indoor air quality for the comfort and health of workers, because this has a direct impact on their productivity. Based on this, an idea emerged to develop a prototype detector of carbon monoxide gas that is sensitive to indoor air pollution using a microcontroller and web-based. This research begins with analyzing and designing the system, both in terms of hardware and software. After that, the next step involves coding and programming configuration and setup on the Thingspeak web. The last stage is testing tools and systems to ensure that they operate according to the plan that has been set. This system is designed to be able to detect and monitor the level of air pollution, as well as provide a graphical display on Thingspeak. This tool works by using a microcontroller to read the MQ-135 sensor attached to the Ardino Wemos ESP8266. This sensor is used to measure gas levels in a predetermined room. The tool will connect to the Wi-Fi hotspot on the Android device to provide notifications via Thigspeak based on a graph
Penerapan Algoritma K-Nearest Neighbor Dalam Klasifikasi Penyakit Jantung
Authors: Akbarollah Mohammad Fauzi , Wiyanto Wiyanto , Ardiatma Dodit , Zy Ahmad Turmudi
Published: October 2023

Penyakit jantung adalah kondisi ketika bagian jantung yang meliputi pembuluh darah jantung, selaput jantung, katup jantung, dan otot jantung mengalami gangguan. Penyakit jantung bisa disebabkan oleh berbagai hal, seperti sumbatan pada pembuluh darah jantung, peradangan, infeksi, atau kelainan bawaan. Berdasarkan catatan Organisasi Kesehatan Sedunia (WHO), diperkirakan sebanyak 17,9 juta kematian setiap tahunnya disebabkan oleh masalah kardiovaskular. Angka ini setara dengan 32 persen kasus kematian secara global. Dari angka tersebut, sebanyak 85 persen diantaranya disebabkan oleh serangan jantung dan stroke. Tujuan Penelitian ini adalah mengimplementasikan data mining untuk meningkatkan efektivitas pengambilan keputusan dalam pengobatan penyakit jantung. Pada penelitian ini dilakukan proses klasifikasi terhadap sebuah dataset penyakit jantung dengan menggunakan algoritma K-Nearest Neighbor. Hasil dari pengujian mendapatkan nilai accuracy sebesar 92%, precision sebesar 90%, dan nilai recall sebesar 92%.
Implementasi Metode Additive Ratio Assesment (ARAS) Dalam Pemberian Promo Tiket Umroh Pada Member
Authors: Arini Zaza Mutiara , Mesran Mesran , Panjaitan Melda
Published: October 2023

PT Anugerah Quba Mandiri (AQM) Tour & Travel every year has the charm to be able to attract the attention of customers or customers on the promo route. the selection of Umrah ticket promos held by the travel party is not given to all pilgrims who register for Umrah. The promo will be given only to pilgrims who get the general qualifications set by the company. Members who have been officially registered can have the opportunity to get a promo to be given to the selected congregation, but ticket promos can only be given to one congregation, therefore it must be based on the appropriate requirements and qualifications. Members who have registered will be recorded using a computer system to record the number of members who are entitled to the ticket promo. With the large number of registered members, the company really needs a decision system that can help in making decisions on ticket promotions. A Decision Support System (SPK) that can help companies find out which members are eligible for ticket promotions using the Additive Ratio Assessment (ARAS) method. The ARAS method is a method or method of decision making that uses the concept of utility degree ranking by comparing the overall index value of each alternative to. In its implementation, the decision support system in providing promos to PT AQM tour & Travel members uses the ARAS method, obtaining effective and objective ranking results. From the results of research conducted at PT AQM Tour & Travel it can be concluded that Alternative A13 on behalf of Nurlela Br Sitepu is stated as a member who gets an Umrah ticket promo with a preference value of 0.2963.
Does Institutional Quality matter to the Inflation Targeting-Financial Stability Nexus?
Authors: Bogari Adel
Published: October 2023

Abstract
This study examines the quality institutions role played in the inflation targeting- financial stability nexus. A sample of 65 developed and developing countries, including 33 inflation-targeting countries (10 developed and 23 developing), and 32 non-inflation-targeting countries (12 developed and 20 developing), during the 1996 - 2020 period. Using Two Step GMM estimation, results show that inflation targeting stimulates financial stability. This positive relationship between inflation targeting and financial stability is proved, regardless of the inflation targeting regime in place; Soft or Full-Fledged. Results from institutional quality variables prove that inflation-targeting countries with poor institutional quality are financially vulnerable, and that for good institutional quality are able to promote financial stability.

JEL classification number: E4, E52, E58.
Keywords: Inflation targeting, Financial stability, Developed and developing countries, Quality of institutions, Tow Step GMM System.
Multiphase Flow Analysis of Three-Dimensional Journal Bearing with Roughness Using Computational Fluid Dynamics (CFD)
Authors: S Susilowati  , Silvana Dwi Nurherdiana  , Sukirmiyadi  , Erwan Adi Saputro  , Mohammad Tauviqirrahman  , Dani Arfiandani  , Paryanto
Published: October 2023

Investigating the impact of surface roughness characteristics on three-dimensional journal bearings while adjusting the eccentricity ratio is the primary goal of this work. Based on computational fluid dynamics, the rotor-bearing system with sand-grain roughness distribution surface is investigated (CFD). To study the tribological performance, the Reynolds-Average Navier-Stokes equations are combined with a multi-phase cavitation model (hydrodynamic pressure, load support and friction). The calculation demonstrates that the surface roughness level in relation to friction and load support is a determining factor for journal bearing performance
Designing Supply Chain Resilience with a Quality Function Deployment Approach: A Case Study in a Shipping Line Company
Authors: Dira  Ernawati  , Isna Nugraha  , Ni Ketut Sari
Published: October 2023

Supply chain resilience is needed for companies to be able to reduce the impact of risks that can occur to the company. The purpose of this study is to analyze supply chain resilience in a shipping line company, which is one of the players in the maritime logistics industry. This research adopts a Quality Function Deployment (QFD) approach that considers customer needs and maritime risks. The results of this study identified 15 customer needs and obtained 3 priority customer needs, namely no errors on invoices and B/L, professional shipping services and easy and realtime tracking of goods shipments. 18 risks have been identified and 3 risk priorities have been obtained, namely damage to communication devices, handling errors and delays in handling documents or goods by EMKL. 26 causes of risk have been identified and 3 priority causes of risk have been identified, namely lack of skill and accuracy of employees, server disruption and lack of work motivation in employees. Based on the analysis that has been carried out in the previous sections, there are 18 resilience measures as risk mitigation that can be carried out by companies. The following are the top-ranked resilience measures, including providing training on sending and receiving goods, establishing good communication with customers and providing training on how to communicate well.
Analysis of Line Balancing using Ranked Positional Weight (RPW), Largest Candidate Rule (LCR), and J-Wagon Methods in Crane Girder Production at PT MHE Demag Surabaya, Indonesia
Authors: Farida Pulansari  , Isna Nugraha
Published: October 2023

Every company is required to enhance its quality by implementing improvement actions within the company's production system. PT MHE Demag Surabaya is a company engaged in crane girder manufacturing. This research aims to determine the optimal line balancing using the Helgesson-Birnie/Ranked Positional Weight (RPW) method, the Largest Candidate Rule method, and the J-Wagon method. Line balancing is necessary due to excess operating time in the crane girder manufacturing workstations, which increases the risk of accidents for the workers. The results of data processing which employed these three heuristic methods demonstrate that the RPW method is the most efficient. The Helgesson-Birnie/Ranked Positional Weight (RPW) method yields the most optimal output, with a line efficiency of 96.67%, balanced delay of 3.33%, and total idle time of 4936.8 seconds using 15 workstations. By utilizing the heuristic methods for line balancing, the efficiency decreases to 144.76%, the balanced delay increases to 14.76%, and the total idle time increases to 86,400 seconds.
Analysis of Total Suspended Solid Algorithm on Tuban Coast with 2 Channel Approach of Visible Light Wavelength Satellite Image
Authors: Hendrata Wibisana  , Bagas Aryaseta  , Primasari Cahya Wardhani
Published: October 2023

Satellite image channels have been widely used by researchers from various countries to map and analyze variables that have a lot of influence on ecosystem changes including the total suspended solid levels scattered on the coast. The use of 1 channel in satellite images provides many results with various good correlations, but in this study, we want to try to use a 2-channel approach to get more optimal results from total suspended solid mapping. The area of interest for research is the Tuban coastline which has a fairly flat and not hilly coastal morphology so that sea currents that carry solids have characteristics in their growth over time. The method used to construct the algorithm of these 2 channels is the use of reflectance values of visible light wavelengths in blue, green and red channels. The results obtained from the calculation of the 2-channel algorithm show a fairly good suitability and correlation, especially in the comparison of the blue channel with the red channel with an R2 value of 0.76 so that it can be used as a reference to monitor total suspended solids as well as a comparison for the calculation of 1 channel. The conclusion obtained is that the channels from satellite images have their own characteristics in providing reflectance values for objects on earth so that with the right combination of channels will be able to obtain accurate results in mapping total suspended solids.
Characteristics Physicochemical and Determination Formaldehyde of Yellow Tofu at Kediri Regency
Authors: Jariyah  , Andre Yusuf Trisna Putra  , Rosita Dwi Agustin
Published: October 2023

Yellow tofu is a typical Kediri food that is easily damaged because it contains protein and high water content. Tofu is prone to added harmful preservatives such as formaldehyde. Therefore, the purpose of this study was to determine the physicochemical properties and detection of formaldehyde in yellow tofu sold by producers in Kediri. seven samples were obtained from tofu producers in Kediri. The analyzes carried out were moisture content, ash, protein, hardness, curcumin detection, formalin detection and sensory evaluation. The data of the physico-chemical properties of yellow tofu was analyzed by ANOVA. Result of this study, showed that the chemical and physical composition varied between samples. Moisture of yellow tofu is between 65.13%-73.40%. Ash of yellow tofu is between 0.82-1.19%. Protein of yellow tofu is between 13.66-18.41%. The firmness of yellow tofu is between 12.30N-25.15N. The highest firmness was sample D. In this study, there is a positive correlation between firmness and texture sensory tests. Sensory test showed that bright yellow tofu received a positive score by the panelists. There is a positive correlation between detection of curcumin and color sensory test. The results showed that all samples were negative formalin.
Analysis of Carbon Functional Groups through FTIR Patterns in The Preparation of Reduced Graphene Oxide (RGO)
Authors: Nur Aini Fauziyah  , Dona Avrilia Kristanti  , Putri Catur Kusumaningtyas  , Primasari Cahya Wardhani  , Pardi Sampe Tola  , Teuku Andi Fadly
Published: October 2023

The preparation of Reduced Graphene Oxide (RGO) through oil palm fiber biomass using a strong acid activation method with sulfuric acid (H2SO4) media, followed by application of microwave waves, is an interesting approach to obtain RGO. The study primarily focused on using the Fourier Transform Infrared (FTIR) spectroscopy technique to detect the formation of RGO based on changes in functional groups. The success of the formation of this RGO was confirmed by the presence of sharp and widening peak in the range of wave numbers 3254-3399 cm-1 which was OH-stretching. the longer the microwave wave is applied, the narrower the OH-stretching peak due to the removal of oxygen due to the application of microwave wave.
A Mini Review: Preliminary Study of Bio-Medical Physics on Development of FRRS to Reduce Pain After Heavy Activities
Authors: Primasari Cahya Wardhani  , Nur Aini Fauziyah  , Pardi Sampe Tola  , Zakiyah Dania Billah
Published: October 2023

Reflexology on the feet is a traditional Chinese medicine (TCM) therapy method. Specifications that must be considered in the manufacture of electrostimulators for acupuncture therapy are waveform, intensity, frequency, and duration of therapy. Scientific studies have confirmed that TCM FB can promote microcirculation, improve skin permeability, and boost drug absorption. Based on data from research collected in the last five years, the method used for foot reflexology is TENS, FES, FNS, and the manufacture of reflexology cotton sandals. By looking at these significant results of the usage of foot stimulator, but it has not been supported by the development of a comprehensive foot reflexology device. Thus, the development of the FRRS device has the potential to become a non-invasive and non- pharmacological therapy device with several advantages in its usage using magnetic electrodes (magnetic plate electrodes), which are very effective at directing the flow of electrical energy to the body through the soles of the feet.
Crystallography Analysis on LSCF and LSM-based Perovskite Oxides
Authors: Silvana Dwi Nurherdiana  , Nikmatin Sholichah  , Susilowati  , Sukirmiyadi  , Erwan Adi Saputro  , Mohd Jumain Jalil  , Hamzah Fansuri
Published: October 2023

Perovskite oxide as a metal oxide offers an excellence on mixed ionic and electronic conductor (MIEC) properties which work simultaneously. The crystal structure of perovskite oxide plays the important role to achieve the superior performance. Generally, it formed a cubic which potentially distorted due to the ratio of metal ion constituents, the calcination temperature and the synthesis method used. Thus, this study presents chemical analysis of La0.7Sr0.3Co0.2Fe0.8O3-δ (LSCF) and La0.7Sr0.3MnO3-δ (LSM)-based perovskite oxides through crystallographic identification using Rietveld Refinement method (Rietica software) and material porosity analysis. The results show that the two types of perovskite oxide have different distorted crystal structures. Perovskite oxide LSCF produces hexagonal crystals and 63.98% rhombohedral dominance, while LSM remained significantly different from LSCF. LSM consist less hexagonal and 55.47% cubic structure. In addition, the pore characteristics indicate that macropores and pore volumes are more abundant in LSCF than LSM. This information can be used as a basis for the use of oxide materials as a separator of oxygen ions from the air, solid oxide fuel cells and catalyst for value-added chemical production from methane flue gas.
Mental Workload Analysis of Workers Using the Swedish Occupational Fatigue Index (SOFI) Method at A Job Shop, Sheet Metal, And Pipe Metal Manufacturing Company in Surabaya
Authors: Mochammad Tutuk Safirin  , Mega Islami  , Rizqi Sari  , Sinta Dewi  , Enny Aryanny
Published: October 2023

This study aims to determine the mental workload of 15 respondents at PT. X in the morning shift and night shift, as measured by the Swedish Occupational Fatigue Index (SOFI) method. The highest value of the morning shift fatigue index dimension is found in the lack of energy factor with a value of 3.97, while in the night shift, the highest value is in the sleepiness factor with a value of 3.13. The fatigue index of workers is considered to be still high and work system improvements are needed.
A Guideline of Earned Value Method (EVM) Implementation as Decision Baseline on Acceleration Solutions for Construction Project Scheduling
Authors: Zetta Rasullia Kamandang  , I Nyoman Dita Pahang Putra  , Anna Rumintang Nauli
Published: October 2023

Implementing an efficient performance monitoring system is necessary to complete a facility building project on time, on budget, and by established standards and specifications. Inappropriate system monitoring process could lead to project failures such as delay which commonly occurs. If the delay happens, it is necessary to accelerate work productivity to overcome it. Earned value method (EVM) is one of the suggested global standards for measuring project performance. It effectively combines scope, cost, and schedule metrics and can provide a clear picture of the state of the project as of the control date. It also predicts the time prolong and completion budget. This paper proposes a guideline to implement EVM as a decision baseline on acceleration solutions for construction project scheduling by conducting an article review, since the EVM can predict the project’s time estimates at completion (TE). According to the guideline, when arranging network planning based on construction actual work performed, it is essential to use TE as the completion time. From the critical activities in network planning, contractors can conduct the acceleration process such as additional work hours (overtime) and additional manpower. This acceleration scenario later could be implemented in the project as the solution to overcome the delay.
Effect of the Carbon Source on the Characteristics of Silica-carbon as a Handphone’s Case Material
Authors: Srie Muljani  , Erwan  Adi Saputro  , Kusuma Wardhani Mas’udah  , Syuaibatul Islamiyah
Published: October 2023

Activated carbon is believed to reduce radiation from cell-phone because it has large pores. This study aims to synthesize a silica-carbon composite as a mobile phone casing using activated carbon from bamboo, coconut shells, and coal combined with silicone rubber. The addition of activated carbon is carried out in the range of 10 - 30 g. Activated carbon mixed with silicone rubber and stirred for 3 minutes at 150 rpm. Based on Digital Electromagnetic Radiation, the highest addition of activated carbon (30g) provides a high radiation reduction but has a small tensile strength and a large elongation value. SEM images show that the distribution of activated carbon 10 - 15 g is more homogeneous on the mobile phone casing.
Solar Tracker Design Based on Arduino Nano to Improve Solar Energy Efficiency
Authors: Anderias Henukh  , Amzal Heri  , Algiranto  , Merta Simbolon
Published: October 2023

This research aims to develop and build a solar tracking system or solar tracker utilizing the Arduino Nano microcontroller. The primary purpose of this technology is to improve solar panel efficiency by automatically moving them to follow the sun's movement throughout the day. Solar energy is a renewable energy source that is becoming increasingly popular to address the difficulties of the energy crisis and climate change. However, the effectiveness of solar panels is directly proportional to the amount of sunlight they get. Therefore, designing an Arduino Nano-based solar tracker is an innovative solution to increase solar energy efficiency. This article discusses the design and implementation of an Arduino Nano-based solar tracker to optimize solar energy production by moving solar panels automatically to follow the sun's movement throughout the day. Is known that the use of a solar tracker can increase the output voltage of solar cells up to 17.14% compared to static and the lowest optimization value was obtained at 17.00, namely at a value of 8.82%, as an implication of the geographical position of the research area, which experiences sunset more quickly.
Heat Absorption On Walls With Red Brick Material
Authors: Muchlis Alahudin  , Anton Topan  , Yosi Valentina Simorangkir  , Henry Soleman Raubaba
Published: October 2023

Merauke is one of the cities in the tropics, has a relatively high temperature. Currently, development in Merauke is quite rapid, so the need for materials, especially wall materials, is much needed. The material that is quite familiar for walls is red stone, however, in the last 2 years in Merauke, a new material for walls has been light stone. In this study, the material of the red stone wall is the main variable, the material is selected and measured to have the ability to absorb heat and emit heat. The methods used in this study were: making a wall prototype (test wall) with red stone material, research using a Thermometer Gun, measurements were taken from 6.00 – 20.00 WIT. The purpose of this study was to determine the effect of the sun's heat on the redstone walls which included: Peak temperature height and the difference between plastered and unplastered redstone walls, in addition to the thermal properties of the material. On the test wall that was not plastered, the temperature was quite high, reaching 46.1ºC during the day, at measuring point A1 (west side) it was found at the end of the measurement (20.00 WIT) the temperature reached 30.7ºC but on the reverse side of the measuring point B4, the temperature actually reached 32.2ºC (the 2 measuring points were wall pairs without plastering. It was concluded that the measurement results on the west side had a higher temperature, because it was exposed to the sun's heat for a longer time, we can be sure that the heat temperature was reaching the inside side of the room. The walls the plastered test has a fairly high temperature, reaching 50.7ºC during the day, the difference at the end of the measurement (20.00 WIT) between measuring point A4 and measuring point B1 is very low, namely; at measuring point A4 the temperature reaches 33.8ºC while measuring point B1 reaches a temperature of 33.5ºC.
Antioxidant properties of Carallia brachiata stem bark and leaf
Authors: Yenni Pintauli Pasaribu  , Yorinda  Buyang  , Novike Bela Sumanik  , La Hisa  , Johanis Wairata
Published: October 2023

Carallia brachiata (Lour.) Merr. (Rhizophoraceae) had been used to treat various human disoders. This study reported antioxidant activity of C. brachiata of stem bark and leaf in various solvents. Each sample was macerated in various solvent separately. By using DPPH, ABTS, and FRAP assays, antioxidant activity was determined. The TLC method was created using dichloromethane and ethyl acetate mobile phase. The methanol extract of stem bark contained the highest TPC value (262.73 ± 1.58 mg GAE/ g extract), while the methanol extract of leaf contained the highest TFC value (45.46 ± 0.32 mg QE/ g extract). The total phenolic content of stem bark extract was higher than that of leaf extract, but the flavonoid content of the leaf extract was marginally higher. The methanol extract exhibited the highest antioxidant activity for DPPH (13.06±0.08 μg/mL), ABTS (7.19±0.08 μg/mL), and FRAP assay (155.19±0.34 μM Fe2+/g).  In this research, stem bark has greater antioxidant activity than the leaf.  In addition, the results of TLC profile were detailed. The TLC chromatogram indicates that C. brachiata stem bark contains more components than leaf. This study indicates that C. brachiata has a rich source of prospective antioxidants.
Development of Public Value Based E-Government Maturity Framework
Authors: Titisari Ramadhane  , Luthfi Ramadani  , Lukman Abdurrahman
Published: October 2023

The implementation of E-Government in Indonesia is expected to assist the government in providing services and changing relations with citizens, businesses, and other government agencies. To support the implementation of e-Government, one of the things that can be proposed is the determination of public value in public services. Public value can be defined as the value created by the government for citizens through the delivery of public services. In implementing the SPBE performance targets at the Jombang Regency Communication and Informatics Service, problems were found, including, the Regional Apparatus Organization (OPD) was still building its applications without coordinating, there were still many OPD applications that could not be integrated with other applications and it is still difficult to fulfil sectoral data in OPD, thus affecting the public value obtained by the people in Jombang Regency. The case study focus on assessment of the SiRinduNona website of the Department of Investment and Integrated One-Stop Services Jombang Regency based on the development public value-based E-Government maturity framework that has been made by researchers. The results of the maturity stage of The SiRinduNona website for Jombang Regency is included in stage 4, namely collaboration stage with a percentage of 73.14%.
Laboratory Testing-Based Characterization of Peat in Palangkaraya, Central Kalimantan
Authors: Annisa Khoerani  , Iskandar  , Ahmad Sofyan  , Tatang Sumarna  , Dewi Amalia  , Dewi Amalia  , Suherman Sulaiman
Published: October 2023

Peat is a unique type of soil because it has a very high organic matter content. One of the locations in Indonesia that has the most peat distribution is Palangkaraya City, Central Kalimantan. It is important to understand the characteristics of peat, especially in engineering applications. The characteristics of peat can be known based on laboratory testing, but in practice many tests are not carried out in accordance with the characteristics of the peat. In this paper, laboratory tests will be carried out based on the characteristics of the peat, with a focus on testing the physical and mechanical properties of the soil. Based on the results of the tests conducted, it can be concluded that the Palangkaraya peat is a fibrous hemic peat. The Palangkaraya peat has a water content of 639.5%, ash content of 3.25%, organic content of 96.75%, fiber content of 53.32%, pH of 3.2, content weight of 0.983 gr/cm3, specific gravity of 1.48, cohesion value of 0.138, and inner shear angle of 16.26°. The characteristics of this peat can provide an overview for researchers or the local government to make the best use of peatlands. Further research is needed to find out other aspects outside the engineering field to determine the characteristics of peat in Palangkaraya City, Central Kalimantan.
Streamlining Medical Services: A Virtual Chatbot for Stomach- related Illnesses
Authors: Tresna Maulana Fahrudin  , Angela Lisanthoni  , Prismahardi Aji Riyantoko  , Kartika Maulida Hindrayani  , Dwi Arman Prasetya
Published: October 2023

The stomach is an important part of the digestive system as it stores and breaks down food for the body's energy. In Indonesia, some people engage in dense work activities but eat late, which can lead to stomach problems. The younger generation often consumes high-fat and junk foods, increasing their risk of stomach-related. Raising public awareness through social media platforms about the various stomach illnesses, including symptoms, risks, and treatments, is important. To achieve this, a chatbot called "A.L.T.H.A" has been proposed to provide information on diseases related to the stomach, utilizing Google Dialogflow and third-party applications, it’s programmed to understand different intents, actions, parameters, and entities, and respond appropriately to user queries. The chatbot was tested on 10 end-users and successfully provided relevant information on different stomach-related issues, including welcome, fallback, main, also closing intents.
Exploring Students’ Acceptance Level of Learning Management System (LMS) as E-learning Platform using Technology Acceptance Model (TAM) at Manado State University
Authors: Keith Francis Ratumbuisang  , Yosua Fitsgerald Ratumbuisang  , Djubir Ruslan Eddy Kembuan  , Johan Reimon Batmetan  , Merriam Modeong
Published: October 2023

This study aims to identify elements that can project the use of e-learning among Manado State University students through the application of path analysis. This study utilizes the Technology Acceptance Model (TAM) framework as a theoretical foundation that guides in analysing the relationship between external and internal variables. The series of concepts proposed involves six main variables, as shown in Figure 1. The model presents the concept of supporting condition variables as an integrated external element in the Technology Acceptance Model. According to the analysis, AT, BI, FC, PEU ATU impact the desire to utilize LMS, When the endogenous latent variable's Q-square score is positive, indicating that the endogenous latent variable is predictive. Meanwhile, hypothesis testing revealed that one of the eight submitted hypotheses, H4, was rejected, while the others were approved.
Smart Grid Study As Solution To The Challenges Of Electricity Transmission And Distribution In North Sulawesi
Authors: I Gede Budi Mahendra  , Djubir R.E. Kembuan  , Janne Deivy Ticoh  , Billy Killis  , Djami Olii
Published: October 2023

Electricity delivery in North Sulawesi faces many problems, such as inadequate supply, unreliable infrastructure, ineffective power transfer, and inadequate integration of renewable sources. This research is a literature study that provides a logical description in accordance with the study objectives. The results of this study show that Smart Grid Technology is considered a feasible solution to overcome the problem. Smart Grid can revolutionize the power grid in this region by monitoring and controlling superior power transmission by combining contemporary information and communication technology with conventional energy infrastructure. As this research shows, Smart Grid solutions can improve the efficiency and reliability of electric power transmission and distribution in North Sulawesi.
Oversampled-Based Approach to Overcome Imbalance Data in the Classification of Apple Leaf Disease with SMOTE
Authors: Eva Y Puspaningrum  , Yisti Vita Via  , Chilyatun Nisa  , Hendra Maulana  , Wahyu S.J.Saputra
Published: October 2023

Research on the detection of apple leaf disease has been developed. Various methods have been carried out to detect apple leaf disease, one of which is by processing digital images. In this study, the author proposes the Convolutional Neural Network (CNN) algorithm as a feature extractor and classifier of apple leaf images. CNN was chosen because it can apply learning and classification effective and automated image features than traditional feature extraction methods. The dataset used is Plant Pathology 2020 - FGV C7. In this dataset, it was found that the image size varies greatly from the entire dataset or often referred to as data imbalance. In this study, the oversampling technique was successfully applied to handle the uneven distribution of data (imbalanced) and achieved a good evaluation result. The oversampling approach method used is Synthetic Minority Oversampling Technique (SMOTE). The number of imbalanced images is carried out by SMOTE pre-processing to produce balanced data. The CNN algorithm is trained on training data and performance testing on test data with a ratio of 70:30 of the total data. The learning model on the network structure can achieve an accuracy of 92% with data that has been oversampled.
Early Prediction for Graduation of Private High School Students with Machine Learning Approach
Authors: Kartini  , Fetty Tri Anggraeny  , Aang Kisnu Darmawan  , Anik Anekawati  , Ivana Yudhisari
Published: October 2023

Graduation rates indicate school success. Predicting student graduation helps schools identify students in danger of dropping out and intervene early to enhance academic performance. It can also assist policymakers create graduation and dropout prevention initiatives. However, based on a literature search, predicting student graduation rates from admission test scores is difficult. School grades are a better predictor of timely tertiary graduation than acceptance test scores because college success requires cognitive abilities and self-regulation competencies, which are better indexed by school grades. Self-efficacy, school academic culture, and future expectations can also affect student graduation rates. Finally, the selective admissions modality needs to be refined. This study aims to (1) predict private high school graduation with eight algorithms: Random tree, Naïve Bayes Multinomial, Support Vector Machine (SVM), Random forest (RF), K-Nearest Neighbor, Ada Boost, Multilayer perceptron, Logistic regression, and (2) compare the performance of the eight algorithms. According to research, the Random tree, Naïve Bayes Multinomial, Random forest (RF), and Ada boost algorithms all perform at 99.49% for the first aim. For the second objective, the Random Tree approach outperforms other algorithms in Accuracy (99.49%), Precision (100%), F-Measure (99.74%), and consumption time (0 seconds). Therefore, the Random tree algorithm outperforms others. This research contributes in two ways: scientifically by testing eight algorithms—Random tree, Naïve Bayes Multinomial, Support Vector Machine (SVM), Random forest (RF), K-Nearest Neighbor, Ada Boost, Multilayer perceptron, and Logistic regression—to predict private high school graduation, and secondly by recommending school administrators to develop a selective enrollment model.
Use of Patterned Datasets (Minimum and Maximum) to predict Bitcoin and Ethereum price movements
Authors: Rizky Parlika  , Mustafid  , Basuki Rahmat
Published: October 2023

Bitcoin is always interesting to keep predicting where the next price movement will go. Bitcoin is the first and most influential Cryptocurrency on cryptocurrency price movements. Bitcoin is traded in many markets, the largest in Indonesia is Indodax. Indodax provides a document sharing API so that third parties can build applications that are able to process data on bitcoin price movements in real-time and continuously. This research shows how patterned datasets can be applied to monitor bitcoin price movements from the indodax market and show their effects on other cryptocurrency assets besides bitcoin. This research shows how data that is patterned and then processed using the minimum and maximum functions can provide 2 important information, namely the potential position of bitcoin when it is at the maximum and minimum points. The results of the patterned dataset formula are then compared to the movements of the 2 cryptocurrencies with the largest capitalization, namely BTC (Bitcoin) and ETH (Ethereum). The results of the comparison show that the use of patterned dataset formulas successfully shows important points in cryptocurrency trading, with simpler instructions.
Expert System to Diagnose Diseases in Corn Plant Using Mobile-Based Forward Chaining And Certainty Factor Methods
Authors: Hanifudin Sukri  , Firmansyah Adiputra
Published: October 2023

Technological developments are so rapid and have an impact on all fields. For example in agriculture. The expert system is part of artificial intelligence (AI) which can be used in diagnosing diseases in corn plants. Corn is a food crop that can be found in Indonesia. Erratic season changes can trigger diseases in corn plants so that it becomes a problem for farmers. The problem that is often encountered by farmers is the difficulty in diagnosing the disease from the corn plant. Therefore an expert system will be built that aims to diagnose diseases in corn plants using the forward chaining method and mobile-based certainty factor. By using the forward chaining method and the certainty factor, the accuracy value obtained by the system for 25 times the testing process is 84% and makes this system good enough to use. The system is applied to a mobile-based application so that usage can be more efficient.
Optimization Dragline on Parameter and Gas Cutting of Laser Beam Machining in SS400 Steel using Taguchi L16 Methods
Authors: Rifky Yusron  , Bambang Tjiroso  , Kukuh Winarso
Published: October 2023

Laser cutting is sustainable non-conventional machining. Unlike wire-EDM, laser cutting have ability to process conductive or non-conductive material without adding any conductive layers before. Laser cutting not depends on any tool supplies. In laser cutting operation, energy consumption being main issue. Less error on dragline and surface roughness in laser cutting process is essentials, to meet them need right setting variable process to produce optimal response. Material using 6mm SS400 steel. Variable observed on this research are laser power output has 4 levels 1820W, 2080W, 2340W and 2600W. Cutting gas pressure has 4 levels 0.5 bar, 1 bar, 1.5 bar, and 2 bar. Gas cutting has 2 kind they are Helium (He) and Dinitrogen (N2). Taguchi L16 (4^2 2^1) applied as research design. this research observing perpendicular on edge of laser cutting. The aim of this research is to provide optimum parameter combination of cutting parameter and gas cutting, so as to produce lowest cutting deviation. For manufacturing industries, this can minimize finishing process and number of product rejection. The highest cutting-edge deviation is 0.1125mm, achieved at combination gas pressure 1.5 bar, 2600W power output and Helium gas cutting on second replication. The lowest cutting-edge deviation is 0.0165, achieved at combination gas pressure 0.1 bar, 2600W power output and dinitrogen gas cutting. Based on Taguchi L16 recommendation optimum combination is gas pressure 1 bar, 2080W power output and using dinitrogen gas cutting. On this combination achieved cutting-edge deviation is 0.0158mm. it was 7% lower than the lowest combination.
Developing Human Hand Gesture Data
Authors: Muhammad Fuad  , Sri Wahyuni  , Nuniek Fahriani  , Ilham Nurwahyudi  , Mochammad Ilham Darmawan  , Fahmi Maulana
Published: October 2023

Gesture is a movement originating from one of the body's limbs, generally using the hand. The movement is usually used to interact with each other among human beings. In this study, gestures are considered as a way for humans to be able to communicate with a system so that it can understand human body language. The first step to be able to create a system that can recognize body gestures is to create a dataset of the gestures to be used. The process for creating a dataset in this study includes taking pictures from a webcam, then pre-processing the images so that they can display the characteristics of each image. The dataset can then be used to model gesture classification using Convolutional Neural Network (CNN). The collection of gestures in this dataset is carried out on the entire upper body to create data variations of male and female also with various human body shapes. This study has collected 450 images of gesture data and has prepared these data with ration of 80% for training and 20% for testing.
Determining Student Achievements using Multicriteria Approach with Electre Method
Authors: Achmad Jauhari  , Yudha Dwi Putra Negara  , Faisol Arif Efendi  , Fifin Ayu Mufarroha  , Devie Rosa Anamisa  , Abdullah Basuki
Published: October 2023

. In the field of education, assessing student achievement is critical for determining students' levels of success and academic progress. However, the high cost of desire is frequently complicated since it incorporates a variety of student characteristics and aspects that must be taken into account. In this study, a multi-criteria approach using the ELECTRE method was suggested to measure student achievement holistically. The ELECTRE technique is a multi-criteria analysis method that employs a comparison matrix to evaluate alternatives based on a variety of criteria. This way to evaluate student progress allows for more accurate and objective decision-making than a single strategy that focuses on a single factor. An application was created to make its use easier. Applications that can be utilized to assist determine excellent students via black box testing are stated to be successful because 33 features provided in the application work as intended. This study is expected to help improve student accomplishment assessment policies and methods at various levels of education.
Experimental Investigation of a Convection - Improved Solar Salt Evaporation System
Authors: Nizar Amir  , Makhfud Efendy  , Mohd Nazri Latiff Azmi
Published: October 2023

The need for salt in Indonesia has recently intensified, as evidenced by the increasing salt demand in various sectors, including consumption, industry, and pharmaceuticals. However, this need has not been fulfilled optimally because of the dependence of salt production on natural weather. Thus, the development of enhanced evaporation technologies to improve evaporation rates has gained much attention. This study aimed to use proposed technology to enhance salt production by evaporating seawater. This method was used to accelerate the evaporation rate of brine by increasing its specific gravity before it entered a crystallization pond. An experimental investigation was carried out to determine the evaporation rate of the system. The results showed that this system can improve the evaporation rate by 11 times compared to conventional methods. The highest accumulated evaporation rate that could be achieved was 34.85 L/m2/day, while the lowest accumulated evaporation rate was found to be 23.6 L/m2/day. Using the proposed system, the time required to enhance the brine specific gravity from 1,030 kg/m3 to 1,208 kg/m3 can be reduced from 30 days to 15 days. This study revealed that using a convection-improved solar salt evaporation system can enhance brine evaporation and reducing the current time consumption and land requirements of saltworks.
Classification of coastal shrimp species using deep learning InceptionResNetV2 with data augmentation
Authors: Budi Dwi Satoto  , Bain Khusnul Khotimah  , Mohammad Yusuf  , Rinci Kembang Hapsari  , Budi Irmawati
Published: October 2023

Coastal areas that are rich in shrimp natural resources usually have a strong fishing industry. Shrimp consumption can contribute to the local economy. Several types of shrimp have higher utilization potential in the fishing industry and human consumption. Classification helps sort out shrimp species in coastal waters. Deep learning technology helps identify and separate shrimp species through deep learning with the Convolutional neural network. The seven classes observed were Vaname Shrimp, Tiger Shrimp, Jerbung Shrimp, Giant Prawns, Red Shrimp, Ronggeng Shrimp, and Prawns. The data used is 50 per class, so 350 images are used. Due to dataset limitations, the proposed contribution is an initial Resnet architecture with augmentation. Resnet helps perform in-depth training to save training computation time, and improvements add variety to limited amounts of data. The result is that the average accuracy of the model is 99.4%, with an average training computation time of 7 and a half minutes. The MSE misclassification value was 0.0143, RMSE was 0.1195, and MAE was 0.0086. Testing tests and testing data on the model only takes 1-2 seconds. Prediction accuracy ranges from 90.01%-99.8%.
Analysis And Improvement Of Drug Supply Chain Risk Management Using House Of Risk (HOR) And Analytical Hierarchy Process (AHP) Approaches
Authors: Ernaning Widiaswanti  , Heri Awalul Ilhamsah  , Rahmad Faizal
Published: October 2023

Risk management is required because there is always a chance that problems will develop in supply chain activities. In industries engaged in health services, such as PT. Rukun Putera Bersama, in supply chain activities for the procurement of drugs, there is an opportunity for risks to arise. Therefore, it is necessary to carry out a risk analysis and design mitigation actions to mitigate the risks that are likely to arise in the drug procurement supply chain. This research was conducted using the House of Risk (HOR) model and the Analytical Hierarchy Process (AHP). After conducting the research, it was found that there were 23 risk events and 15 risk agents. There are 10 risk mitigation actions in the drug procurement supply chain. Furthermore, from the 10 mitigation actions, it is reprocessed using AHP. The results of AHP weighting obtained the best alternative strategy, namely the use of digital pharmacy management information system software to regulate and monitor pharmacy management performance.
Design and simulation of rectangular patch microstrip antenna with inset feed for ADS-B system
Authors: Muttaqin Hardiwansyah  , Dian Neipa Purnamasari
Published: October 2023

The ADS-B system serves to track the location of aircraft. Ground station in the ADSB system is a receiver system that captures aircraft location signals using frequency 1090. Antenna is a key device for ADS-B communication. This paper is intended to develop a square microstrip antenna that has a working frequency of 1090 MHz. The material used is FR4 substrate, and the dielectric material is chopper. The antenna design is simulated using Matlab's Antenna Toolbox with its various conveniences. The simulation results of the patch antenna design with inset feed optimization resulted in a working frequency close to 1090 MHz, a VSWR value close to 1 and a Gain of 9.59 dBi.
Registros recientes de Neogale frenata (Carnivora: Mustelidae) mediante fototrampeo en Campeche, México
Authors: Jesús-Espinosa Daniel , Contreras-Moreno Fernando M. , Sánchez-Pinzón Khiavett , Méndez-Tun José M. , Méndez-SaintMartin Gabriela , Duque-Moreno Victor D. , Cruz-Romo Lizardo
Published: October 2023

En México Neogale frenata se distribuye en casi todo el pais, sin embargo, la especie ha sido poco estudiada y la información sobre su historia natural es relativamente escasa. Reportamos cuatro nuevos registros de N. frenata obtenidos mediante fototrampeo en la región de Calakmul. En esta nota se reporta el segundo registro formal de este mamífero para el estado de Campeche y el primero para la región, lo que eleva el total de registros para esta especie a 7 en el estado.