bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPROVING DIGITAL LEARNING: EVALUATING THE U LEARN LMS WITH THE SYSTEM USABILITY SCALE
Authors: Sudestra I Made Ardi , Agustini Ni Wayan Eva , Gunawan I Made Agus Oka , Indrawan Gede , Hakimi Musawer
Published: January 2025

The assessment of the usability of online learning systems is becoming more and more critical in order to ensure that users have the best possible experience. This study employed the System Usability Scale (SUS) to assess the usability of the learning management system at UNDIKNAS, using 68 students from various academic programs as participants. The employed methodology is administering a SUS questionnaire consisting of 10 items on a Likert scale from 1 to 5. The points are computed using the standard SUS methodology and multiplied by 2.5 to derive the final score. The analysis disclosed an average SUS score of 56.65, falling short of the academic usability benchmark 68. The score distribution visualization indicated that most respondents rated between 50 and 60, highlighting the need for system improvement. The SUS assessment of the learning management system at UNDIKNAS reveals that the system's usability necessitates improvement. Key recommendations include improving the user interface, optimizing navigation, and providing user guides to enhance the overall user experience
THE EFFECT OF AUGMENTED REALITY-BASED AUTOMATIC TRANSMISSION MEDIA ON BASIC KNOWLEDGE
Authors: Komarudin Komarudin , Nauri Imam Muda , Mardji Mardji , Mindarta Erwin Komara , Ariyanto Sudirman Rizki
Published: January 2025

Innovative and interactive learning media was needed to graduate a workforce that was in accordance with the world of work. Automatic Transmission based on Augmented Reality operated using a smartphone can help students know the components, functions and workings of AT. Augmented Reality is an application that combines the real world with the virtual world in the form of two dimensions or three dimensions projected in a real environment at the same time. Smartphones can be a digital media in delivering material. This research uses the ADDIE development model. This research aims to develop Automatic Transmission media based on Augmented Reality. AT media was evaluated by media experts, automotive experts and students. The validity test results show that AT media was valid according to media experts and automotive experts. This study aims to develop this media to help students master the prior knowledge of AT material. ANOVA test results show that AT AR media has an effect on prior knowledge. AT AR media was attractive, easy to operate using a smartphone and improves the ability to mention the names of AT components, explain the functions and workings of AT.
SENTIMENT ANALYSIS OF PUBLIC OPINION ON APPLICATION X (TWITTER) IN INDONESIA AGAINST CHATGPT USING NAÏVE BAYES ALGORITHM
Authors: Sari Yayak Kartika , Rozi Fahrur , Muhyiddin Sulthon , Sukmana Farid
Published: January 2025

In the era of technological development and information is increasingly widespread. Data and information are easier to obtain using current technology, especially using social media such as Instagram, Facebook, (x) Twitter and others. In social media, information can be in the form of public opinions containing praise, hate speech, and hoaxes which can result in arguments against the information presented, especially on the x (twitter) application. Therefore, research was conducted on sentiment analysis of positive and negative opinions of Indonesian people on application x (twitter) about ChatGPT using the naive bayes method. Basically, Naive Bayes looks for the largest conditional probability value for each class. The technique used to explore public opinion data on application x (twitter) about ChatGPT is google collabs with the results of data mining as much as 1012 data. of these 1012 data cleaning and sentiment analysis using the naive bayes method. Naïve Bayes method classification results with a total of 762 twitter comments about ChatGPT. 100 are used as training data modeled using the naïve bayes method. The accuracy value is 99.00%, positive prediction precision is 100%, negative prediction precision is 96.43%, positive data recall is 98.63%, and negative data recall is 100%.
Indispensable Insights
Authors: Pinnell Georgia
Published: January 2025

This historiographical essay explores how scholars have analyzed depictions of the Crusades in literature. Specifically, it compares how three books, Geraldine Heng’s Empire of Magic: Medieval Romance and the Politics of Cultural Fantasy, Lee Manion’s Narrating the Crusades: Loss and Recovery in Medieval and Early Modern English Literature, and Marisa Galvez’s The Subject of Crusade: Lyric, Romance, and Materials, 1150 to 1500, examine the significance of Crusade discourse’s prevalence in literature, including in a medieval Arthurian romance, a fictional account of Richard the Lionheart’s crusading experiences, and even a Shakespearean play. Examining the Crusades through literature alone is an insufficient way to reach historical conclusions. However, by analyzing fictional Crusade narratives within their historical contexts, each book, this paper argues, unveils invaluable insights into medieval society’s perception of the disturbing ethical and cultural issues that surrounded the Crusades, such as crusader cannibalism, and how contemporaries tried to mitigate these concerns by writing reimagined histories.
SOSIALISASI MENULIS SURAT PRIBADI UNTUK MENGASAH KETERAMPILAN SISWA SISWI KELAS VI SD NEGERI 51 KELURAHAN KEBUN TEBENG
Authors: Suci Melfi Putri , Nazar Nazar , Hakim Man
Published: January 2025

Kegiatan ini bertujuan untuk meningkatkan keterampilan menulis siswa kelas VI SD Negeri 51 Kelurahan Kebun Tebeng melalui sosialisasi penulisan surat pribadi. Kegiatan ini dilatarbelakangi oleh pentingnya keterampilan menulis dalam kehidupan sehari-hari serta kenyataan bahwa banyak siswa masih kurang memahami format dan teknik menulis surat pribadi. Metode yang digunakan dalam sosialisasi ini adalah pendekatan praktis dengan memberikan materi terkait struktur, bahasa, serta etika penulisan surat pribadi. Selain itu, siswa juga dilibatkan dalam praktik menulis langsung agar mereka dapat menerapkan teori yang telah dipelajari. Hasil dari sosialisasi menunjukkan peningkatan yang signifikan pada kemampuan siswa dalam menyusun surat pribadi. Siswa mampu memahami dengan baik komponen-komponen utama surat, seperti salam pembuka, isi, dan penutup. Selain itu, keterampilan siswa dalam menyampaikan gagasan secara tertulis juga meningkat, terutama dalam hal penyampaian pesan dengan bahasa yang jelas dan terstruktur. Kegiatan ini diharapkan dapat terus berlanjut untuk membantu siswa mengembangkan keterampilan berbahasa, khususnya dalam menulis, sehingga mereka lebih siap menghadapi tantangan komunikasi tertulis di masa depan.
PELATIHAN MENULIS TEKS PROSEDUR BAGI SISWA KELAS XI TEKNIK SEPEDA MOTOR SMKS 9 MUHAMMADIYAH BENGKULU
Authors: Haliza Dea Nur , Setiorini Hesti , Yuniati Ira
Published: January 2025

Tujuan pengabdian ini adalah untuk meningkatkan kemampuan menulis siswa, khususnya dalam menulis teks prosedur pada siswa kelas XI SMK 9 Muhammadiyah Bengkulu. Dengan dilakukannya pelatihan ini, siswa diharapkan dapat memahami dan mengaplikasikan struktur yang benar dalam penulisan teks prosedur pada mata pelajaran Bahasa Indonesia karena pada observasi awal yang dilakukan terlihat siswa masih kesulitan dalam menulis dikarenakan terlalu terbiasa melakukan praktik langsung daripada kegiatan menulis. Kegiatan ini mendapatkan respon yang baik dari siswa dengan penambahan pengetahuan yang didapatkan siswa d apat menghasilkan karya menulis sendiri. Pengabdian ini menggunakan metode pelatihan dan pendampingan bagi siswa SMK 9 Muhammadiyah Bengkulu. Dalam melakukan pengabdian ini terdapat 3 tahapan yaitu tahapan observasi awal, tahapan menjelaskan materi dan tahapan pelatihan dan penugasan. Sebagai hasil pelatihan yang telah dilakukan dapat disimpulkan bahwa siswa mampu menulis teks prosedur secara mandiri sesuai dengan kaidah dan bersifat informatif sehingga mudah dipahami oleh pembaca.
Studies on Adaptability of Aonla (Emblica officinalis Gaertn.) Cultivars under High Rainfall Zone of Coorg
Authors:   NRC for Agroforestry, Near Pahuj Dam, Gwalior Road, Jhansi-284 003, UP, Kumar Sudhir , G. Karunakaran ,   NRC for Agroforestry, Near Pahuj Dam, Gwalior Road, Jhansi-284 003, UP, T. Sakthivel ,   *Central Horticultural Experiment Station (IIHR), Chettalli- 571 248, Kodagu, Karnataka, R. Chithiraichelvan ,   *Central Horticultural Experiment Station (IIHR), Chettalli- 571 248, Kodagu, Karnataka
Published: January 2025

Aonla (Emblica officinalis Gaertn.) is one of the important minor fruit and a crop of commercial significance, quite hardy, prolific bearer and highly remunerative even without much care. In Coorg, existing cropping system of coffee based Coorg mandarin cultivation is not remunerable due to prevalence of greening diseases and various other factors. Therefore, there is need to diversify the existing crops that can be suited well for the region. With this background, the present study was taken up with seven different aonla cultivars namely, Kanchan, NA-6, NA-7, NA-10, Krishna, Chakaiya and BSR-1 at Central Horticultural Experiment Station, Chettalli, Kodagu District, Karnataka to their adaptability under Coorg region. Theobservations on growth parameters (collar diameter and diameter at breast height) after three years of planting showed significant differences, which ranged from 4.36 and 1.99cm in Kanchan to 8.00 and 5.69cm in BSR- 1, respectively. The yield (average of 5th and 6th year) ranged from 9.00 kg/plant in NA-7 to 25.93 kg/plant in BSR-1. Observations on physico-chemical characters of fruits indicated significant variations for both quantitative and qualitative characters. The fruit weight ranged from 21.42 g in â€˜BSR-1â€™ to 38.66 gm in the cv â€˜Kanchanâ€™. Total soluble solids contents ranged from 8.02o B in cv â€˜Kanchanâ€™ to 13.07o B in â€˜BSR-1â€™. The other parameters such as fruit volume, pulp weight, stone weight, pulp-stone ratio and juice content were found more in Kanchan whereas total sugar solids, vitamin C, total sugar, reducing sugar, acidity were recorded maximum in BSR- 1. As for as adaptability is concern BSR- 1 is best suited cultivar in terms of yield and quality parameters followed by Kanchan.
Changes in Physiological and Physico-Chemical Characteristics of Banana Fruits at Various StorageTemperatures
Authors:   Department of Dairy Engineering, College of Dairy Science and Food Technology, CGKV, Raipur (C.G.) 492012 Indira Gandhi Agricultural University, Raipur 492012 (C.G.), India,, A K Agrawa , S C Sarode ,   Department of Dairy Engineering, College of Dairy Science and Food Technology, CGKV, Raipur (C.G.) 492012 Indira Gandhi Agricultural University, Raipur 492012 (C.G.), India,, Sinha Geetesh ,   Department of Dairy Engineering, College of Dairy Science and Food Technology, CGKV, Raipur (C.G.) 492012 Indira Gandhi Agricultural University, Raipur 492012 (C.G.), India,
Published: January 2025

Temperature and storage period play an important role in ripening process of banana. To get banana with good quality and longer shelf life, it is imperative to determine storage characteristics at different temperatures. The banana cultivars viz. Williams, Zeling and Grand Nain were packed in polyethylene bags and then stored at room temperature (32Â±2oC), cold storage (20Â±2oC) and deep freezer (4Â±2oC). Changes in physiological, physico-chemical and physical (sensory) parameters were recorded at 3 days intervals till rejectable condition of fruit. There was increase in physical loss in weight and pulp peel ratio with increase in storage period. Increase in TSS, acidity and moisture was also noticed as storage period increased. Sugar of banana fruit increased as ripening advanced. The quality of banana was found safe for 32 days at 20oC storage, 21 days at 32oC and 5 days at 4oC.
ANS – RESSARCIMENTO AO SUS X OPERADORAS DE PLANO DE SAÚDE
Authors: Maia Lucia Amanda , Almeida Jeferson Alves de , Pacheco Pablo Viana
Published: January 2025

Este artigo questiona a cobrança de ressarcimento ao SUS por operadoras de planos de saúde, analisando sua origem e o processo de contratação do plano. Argumenta-se que essa cobrança é inconstitucional, pois a Constituição Federal de 1988 garante ao cidadão o direito de utilizar o SUS, independentemente de ter um plano de saúde. Embora o STF tenha decidido pela constitucionalidade da cobrança, essa decisão compromete direitos fundamentais e o princípio da liberdade individual. O problema de pesquisa reside no fato de que o Estado estaria se beneficiando de um enriquecimento ilícito com a cobrança desse ressarcimento ao SUS. Tem como objetivo demonstrar a existência dos sistemas assistenciais de saúde, abordando tanto o Sistema Público de Saúde – SUS, quanto o sistema privado, representado pelas operadoras de planos de saúde, regulamentadas pela Lei nº 9.656, de 3 de junho de 1998. Trata-se de uma pesquisa descritiva, qualitativa e quantitativa, utilizando-se o método bibliográfico no estudo de legislações constitucionais e infraconstitucionais sobre o assunto. Conclui-se que o questionamento sobre a constitucionalidade da cobrança do ressarcimento ao SUS é válido, pois todos os argumentos utilizados pelo Supremo Tribunal Federal podem ser questionados pelos meios adequados.
Aplicabilidade do ANPP no tráfico privilegiado: desafios e perspectivas.
Authors: Costa Gabriel Alencar , Dias Thalita de Joseanne Silveira da Silva
Published: January 2025

O presente estudo analisa as nuances das inovações trazidas pelo pacote anticrime à justiça consensual e a célere e eficaz solução de conflitos. Com a implementação do Acordo de Não Persecução Penal houve um avanço na tentativa de efetivar a repreensão penal a partir de restrições de direitos e ressarcimento do dano, além de outras prerrogativas a serem acordadas direto com o Ministério Público. O pacote anticrime também inovou com ao desconsiderar a hediondez típica do crime de tráfico de drogas ao tráfico privilegiado previsto no §4º do artigo 33 da Lei 11.343/06. A partir disto, a jurisprudência passou a questionar a possibilidade da aplicação do ANPP aos casos do tráfico privilegiado em razão da complexidade do crime de tráfico e a contribuição para o crime organizado, além de suas particularidades na criminalidade. Entretanto, a jurisprudência majoritária passa a entender que há possibilidade de aplicação dado que, seria de grande contribuição para ressocialização e integração dos primários infratores a sociedade. Para isto o estudo baseou-se em doutrinas, artigos, legislação e principalmente na análise jurisprudencial atualizada para entender as implicações da aplicação do ANPP ao tráfico privilegiado na prática. Desse modo, analisou-se o avanço da justiça consensual no país, as nuances da aplicação do acordo de não persecução penal e a retirada do caráter hediondo do crime de tráfico privilegiado. Posteriormente, por um ângulo social, entendeu-se a aplicação do ANPP ao delito de tráfico privilegiado como contribuição para o combate a superlotação do judiciário e a penalização mais humana ao acusado.
A RESSOCIALIZAÇÃO E SUAS NUANCES NA SAÍDA TEMPORÁRIA: DESAFIOS E PERSPECTIVAS PARA A REINSERÇÃO SOCIAL DOS DETENTOS
Authors: Carvalho Carla de , Torres Fernanda , Dias Thalita de Joseanne Silveira da Silva
Published: January 2025

O presente artigo tem como objetivo caracterizar os desafios e perspectivas de ressocialização dos ex-penitenciários no Brasil. A partir de uma revisão bibliográfica, é possível perceber que a legislação implica no compromisso do Estado não só punir, mas também reinserir, pós-pena, o indivíduo em sociedade. Ainda, o trabalho aborda as nuances do instituto da “saidinha temporária” que, por estar revogado, pode ser o responsável pelo escalonamento da criminalidade, além de que, aliado aos preconceitos e ausência de políticas públicas eficientes, dificultam a reintegração dos detentos. Ademais, o estudo investiga como a ausência de suporte adequado, durante o processo de execução da pena, contribui para a reincidência criminal, visando focar nas falhas que se encontram no processo de ressocialização, propondo alternativas capazes de ampliar as possibilidades de reintegração dos apenados, e reduzir os índices de marginalidade e reincidência.
TENDÊNCIAS E DESAFIOS NA IMPLEMENTAÇÃO DA NOVA LEI DE LICITAÇÕES NO BRASIL
Authors: Pereira Ítalo Gonçalves , Nobre Marcos Paulo Terra , Pacheco Pablo Viana
Published: January 2025

Até 1º de abril de 2021, as licitações eram reguladas pelas leis nº 8.666/1993 (lei geral de licitações), lei nº 10.520/2002 (lei do pregão) e a lei nº 12.462/2011 (lei do regime diferenciado de contratação). No entanto, nessa data, entrou em vigor a lei nº 14.133, que trouxe diversas modificações no processo licitatório, como a criação de novos princípios, modalidades de contratação e critérios de julgamento, além de alterar as fases licitatórias, entre outras mudanças. Este trabalho estuda os desafios enfrentados para implementação dessa modernização legislativa e a forma como foi introduzida ao ordenamento jurídico brasileiro, bem como suas mudanças e como estas afetarão os processos de licitação nos próximos anos. A discussão é de grande importância para a correta aplicação do processo licitatório, uma vez que a sua má execução acarretará prejuízos ao Poder Público ao longo dos anos.
REVITIMIZAÇÃO DA VÍTIMA DE FEMINICÍDIO E ABUSOS SEXUAIS
Authors: Custódio Samira Gersanti , Moreira Larissa de Carvalho , Santos Marcelo Fernandes dos , Carvalho Frederico Araújo
Published: January 2025

Este trabalho visa demonstrar os impactos causados pela revitimização nos casos de abuso sexual e tentativa de feminicídio perpetrados pelos integrantes da sociedade, assim como o papel da família e das instituições estatais na recepção das vítimas. Foi utilizado o método descritivo e qualitativo, visto que a pesquisa foi realizada por meio de consultas bibliográficas, com documentação indireta e direta. A partir de uma análise do patriarcado e suas influências no comportamento da sociedade, nota-se que as regras patriarcais são aplicadas no tratamento de vítimas diretas e indiretas de violência de gênero, especialmente em casos de abuso sexual e feminicídio. Ao analisar o tratamento dado pelas instituições do Estado, pela família, pela mídia e pelas redes sociais, percebe-se que essas mulheres frequentemente recebem um tratamento inadequado, evidenciando como essas entidades perpetuam a revitimização. Assim, verifica-se a necessidade de uma mudança cultural e da implementação de medidas mais eficazes por parte do Estado, que evitem prolongar o sofrimento das vítimas e ofereçam suporte adequado, desde o acolhimento até a proteção legal, garantindo direitos que as protejam durante o procedimento criminal.
A ILEGALIDADE DA PRISÃO PREVENTIVA DE OFICIO À LUZ DA LEI MARIA DA PENHA PERANTE A LEI PACOTE ANTICRIME
Authors: Ferreira Wanderson de Souza , Guimarães Paulo Marajá M.
Published: January 2025

O presente trabalho aborda sobre a discussão em torno da legalidade da prisão preventiva de ofício à luz da Lei Maria da Penha (Lei 11.340/2006) perante o Pacote Anticrime. Objetiva demonstrar que o juiz não pode decretar, de ofício, a prisão preventiva do agressor de violência doméstica. Foi realizado nos moldes de uma revisão bibliográfica narrativa que se caracteriza pela fundamentação teórica para tratar do tema e o problema da pesquisa. Justifica-se este trabalho por entender que este tema aborda a triste realidade da violência doméstica contra as mulheres no Brasil, em meio a uma cultura machista que minimiza seus impactos. Concluiu-se que a Lei Maria da Penha representou um avanço na proteção das mulheres contra a violência doméstica, estabelecendo medidas rigorosas para garantir a segurança das vítimas. A Lei 13.964/19 (Pacote Anticrime) trouxe inúmeras modificações ao processo penal brasileiro, incluindo a supressão da expressão “de ofício” em diversos dispositivos, reforçando o modelo acusatório.
ENSINAR CIÊNCIAS SOCIAIS TEMPORARIAMENTE NA UNIVERSIDADE ESTADUAL DO PIAUÍ: UM RELATO DESDE A SOCIOLOGIA, A ANTROPOLOGIA E A CIÊNCIA POLÍTICA
Authors: Pucci Fabio Martinez Serrano , Veras Hermes de Sousa , Silva Joscimar Souza
Published: January 2025

Relatamos nossas experiências docentes enquanto professores substitutos na licenciatura plena em Ciências Sociais da Universidade Estadual do Piauí, com as percepções pessoais e inquietações, através das quais, inspirados em Paulo Freire, possamos contribuir com uma pedagogia da esperança para o tema do ensino de ciências sociais, acrescentando reflexões sobre os desafios apresentados para professores temporários, entre as precariedades e fragilidades do cargo, junto com suas possibilidades e horizontes de atuação. Além disso, o texto é assinado por um antropólogo, um cientista político e um sociólogo, o que reforça a importância das Ciências Sociais enquanto eixo formativo para esses três campos do saber.
Direito à educação inclusiva e análise crítica do discurso do STF
Authors: Santana Bianca Quitéria de Moura
Published: January 2025

No ano de 2016, o Supremo Tribunal Federal, julgou, por maioria e nos termos do voto do Ministro Relator Edson Fachin, a Ação Direta de Inconstitucionalidade - ADI 5357 improcedente, vencido, o Ministro Marco Aurélio, que a julgou parcialmente procedente. A ADI 5357 movida pela Confederação Nacional de Estabelecimentos de Ensino – CONFENEN questionou a constitucionalidade dos artigos 28, parágrafo 1°, e art. 30, caput, da Lei Brasileira de Inclusão (Lei n° 13.146/2015). Estes dispositivos determinam a obrigatoriedade de instituições escolares da rede privada promoverem a inserção de pessoas com deficiência nas classes comuns do ensino regular e proverem as medidas de adaptação necessárias sem que o ônus financeiro seja repassado às matrículas, mensalidades ou anuidades desses alunos. Tendo como referencial os estudos descoloniais e com base na abordagem teórico-metodológica da Análise Crítica do Discurso (ACD), esta obra tem um propósito muito claro: identificar os indícios de colonialidade/descolonialidade nos fundamentos do voto do Relator e do voto vencido na ADI 5357 no que concerne ao direito à educação inclusiva.
Pengembangan Website Speech To Video Bahasa Isyarat Indonesia (Bisindo) Berbasis Algoritma Long Shot Term Memory
Authors: Deleviar Angky Fay , Intan Oktaviani  , Hanifah Permatasari
Published: January 2025

Indonesian Sign Language (BISINDO) is an essential communication tool for more than one million deaf people in Indonesia. This research aims to develop a Speech to BISINDO website based on the Long Short-Term Memory (LSTM) algorithm to overcome barriers in communication and learning processes for the deaf community. The research stages include data collection through questionnaires and literature studies to understand user needs, as well as system development using the Rational Unified Process (RUP) method. The system is designed to convert voice input into sign language videos and support the sign language learning process through interactive features. Testing was conducted to ensure that the system meets functional and non-functional needs. The results show that the Speech to BISINDO website is effective in translating speech into sign language videos with high accuracy, as well as supporting better communication and learning between deaf people and the general public. The system offers an innovative solution to improve access to information and learning process for people with hearing impairment.
Perspective Owner Pada Enterprise Architecture Menggunakan Zachman Di Perusahaan Distributor Mesin
Authors: Rahman Muhammad Ryo , Andry Johanes Fernandes , Lee Francka Sakti
Published: January 2025

Machinery distributor companies have an important role in the industrial supply chain, where organizations are faced with various challenges, such as the possibility of stock management which is vulnerable to data errors and operational losses. This can result in operational inefficiencies and hinder the achievement of business goals. Implementing Enterprise Architecture (EA) using the Zachman Framework can play a role in helping overcome these challenges and maximizing the benefits of implementing information systems. This research aims to design an EA blueprint for machine distributor companies using the Zachman Framework mapping method. Data collection was carried out through interviews and observations to analyze the organization's value chain and develop scope, enterprise model and system model with a focus on data, function and network aspects. The results of this research produced a comprehensive and structured EA blueprint design, with a focus on three main aspects, namely data, function and network from the perspective of the owner and designer. This design is expected to help machine distributor companies achieve goals in the stock management process to increase data accuracy and operational efficiency
Penerapan Metode AHP untuk Sistem Pendukung Keputusan Pemilihan Siswa Teladan
Authors: Puspita Ari , Hilda Amalia  , Ida Faridah  , Seni Kurniasari  , Yuyun Yuningsih
Published: January 2025

Students are an important element in education who are expected to become quality individuals. The selection of exemplary students is important to do, this aims to motivate students to excel, but a system that only relies on academic grades can hinder non-academic development. Therefore, non-academic aspects such as morals and extracurricular activities are also included in the assessment. Decision Support Systems (DSS) help analyze situations with criteria that are not always clear, using the Analytical Hierarchy Process (AHP) method to organize complex problems. This study developed a DSS for selecting exemplary students at SMP Muhammadiyah Kawali with four criteria: attendance, discipline, achievement, and extracurricular. The results showed that exemplary students with the highest weighted scores scored 0.1920. The resulting DSS was able to select exemplary students more objectively and transparently based on existing criteria, namely discipline, attendance, achievement and extracurricular activities. With the implementation of this system, it is able to increase objectivity and fairness in selecting exemplary students and motivate students to achieve better
Perancangan Aplikasi KWH Meter Dan Sistem Monitoring Konsumsi Listrik Berbasis Internet Of Things Untuk Kamar Kos-Kosan
Authors: Indra Gunawan  , Muhamad Sadali  , Hamzan Ahmadi  , Jumawal
Published: January 2025

The use of electrical energy in boarding houses is currently quite important for the residents. However, in its use there are often problems related to fees between boarding house residents which are within 1 KWH Meter, needs between boarding house residents with unequal electricity usage and bill information can be monitored by boarding house owners. Therefore, we need a system that can monitor and calculate the cost of electricity usage in boarding houses in real-time. This research aims to develop a digital KWH meter application design and IoT (Internet of Things) based electrical energy consumption information using ESP8266, PZEM sensors, web server. The results of this research are a KWH prototype that is able to monitor electrical energy consumption in boarding houses in real-time and calculate electricity costs based on the applicable electricity tariffs where the PZEM sensor is used as a tool to measure electrical energy consumption in boarding houses connected to the ESP8266 module to transmit data to the server via WiFi. Then, the data received is processed and presented in the form of values and a dashboard display on the web application in the form of voltage, current and energy data. With this Internet of Things-based electrical energy consumption information application, it is hoped that boarding house residents can monitor electrical energy usage more easily and help in determining payments for the electricity consumption used.
Implementasi Discovery Learning untuk Meningkatkan Kecerdasan Digital Mahasiswa
Authors: Lathifah Afra , Kurnia Ulfa Isni , Hertati Elvani
Published: January 2025

The digital era demands students to have comprehensive digital intelligence, including students' ability to access, manage, analyze, and present digital information, alongside a grasp of digital ethics and safety. This research seeks to examine how the Discovery Learning approach influences the enhancement of students' digital intelligence. The study employed a pre-experimental design utilizing a one group pretest-posttest, which included 31 students in their fifth semester from the Faculty of Teacher Training and Education. The results showed a significant increase in students' digital intelligence. Statistical analysis produced a significance probability of p = 0.0000 (p <0.05), an average increase of 25.01%. Through the stages in this model, students are given the opportunity to not be passive in the learning process, so they can have critical thinking skills, problem solving, and digital skills needed in today's digital era. Further research should explore other elements, including lecturer readiness, availability of digital learning resources, and supportive institutional policies
Implementasi Aplikasi Mobile untuk Meningkatkan Keselamatan Turis di Tujuan Wisata Berisiko Tinggi
Authors: Sulistiyanta Nur Linda , Ignatius Wahyu Widodo  , - Suyoto
Published: January 2025

The competitiveness of smart tourism destinations depends on the natural and cultural attractions, infrastructure, and quality of services offered, including security and safety as the main factors in choosing a tourist destination by tourists. The purpose of this study is to determine mobile applications to improve tourist safety in high-risk tourist destinations. This research is a systematic review (Systematic Literature Review). Data is processed and presented in the form of a description. The study results show that a mobile application can be an alternative to improve tourist safety, especially in high-risk tourist destinations. A mobile application can be developed to improve tourist safety, especially in high-risk tourist destinations so that they feel satisfactory service. Satisfactory service can certainly provide a positive experience for tourists. The application can also be developed with the application of artificial intelligence and various features to improve user experience. These services can be in the form of safe transportation route features for tourist destinations such as medical tourism. Mobile applications with real-time features can also make it easier for tourism managers to monitor tourists so that they continue to carry out activities safely. Therefore, the application can also be made specifically to overcome disasters and can be a tool to provide information to tourists, increase their awareness of risks, and improve their preparedness for disasters
Rancang Bangun Sistem TOEFL Untuk Analisis Kelemahan Peserta Dengan Penerapan Algoritma K-Means Clustering
Authors: Nabella Arika Risma Nabella , Hani Zulfia Zahro’  , Yosep Agus Pranoto
Published: January 2025

English proficiency is a critical skill across various sectors, particularly in educational and professional contexts. The TOEFL test assesses English language skills, covering aspects such as Reading, Listening, Speaking, and Writing. However, TOEFL results often only provide a total score without detailed insights into participants' weaknesses. To address this, this study utilizes the K-Means Clustering algorithm for its simplicity, efficiency in processing multidimensional data, and ability to produce statistically meaningful groupings. The research aims to identify the weaknesses of TOEFL participants at the Language Laboratory of ITN Malang. The dataset comprises scores from 520 students across Reading, Structure and Written Expression, and Listening sections. This method classifies participants into three primary clusters: Reading Boosters (C1), Grammar Builders (C2), and Listening Improvers (C3). The clustering process involves randomly selecting initial centroids, calculating distances using the Euclidean Distance formula, and iterating until cluster stability is achieved. The analysis results show that 36.54% of participants fall into C1, 41.35% into C2, and 22.21% into C3. The implementation of this algorithm offers valuable insights for developing more effective learning programs.
Pengembangan Sistem untuk Deteksi dan Identifikasi Lokasi Kecelakaan pada Lansia sebagai Bentuk Peningkatan Keselamatan berbasis Internet of Things (IoT)
Authors: Mandala Putra Hadian , 'Alimuddin  , Suhartini  , Wahyu Rizki
Published: January 2025

fainting, which can be fatal to their health and quality of life. The elderly population in Indonesia continues to increase, creating an urgent need for technological solutions to effectively monitor their health conditions. This study aims to design and develop an Internet of Things (IoT)-based accident detection and identification system for the elderly. The system utilizes several sensors, including an accelerometer, pulse sensor, and GPS, to monitor the physical conditions of the elderly and track their location in real-time. The research method employed is the Research and Development (R&D) method. Testing was conducted on a non-elderly subject by simulating falls with several scenarios, repeated multiple times. When the sensors detect an accident, the system automatically sends notifications to the user’s or the elderly family’s smartphone, enabling quick actions that can prevent further impacts. The results showed that the system achieved a detection accuracy rate of 91% in identifying falls and weak pulse conditions out of 30 test trials
Penerapan Sistem Informasi Berbasis Web Untuk Pengajuan Judul Skripsi Mahasiswa Sebagai Upaya Peningkatan Efesiensi Waktu
Authors: Rahmad Dinata  , Indriaturrahmi  , Edy Haryanto
Published: January 2025

This research aims to design an online-based thesis title submission information system using Rapid Application Development (RAD). This system is designed to facilitate students who previously submitted thesis titles manually. The research method used is a quantitative approach by conducting observations, interviews, and questionnaires. The development stages include Requirement Planning, User Design, Development, and Cutover. Results In the research and development of this thesis title submission information system, the main objectives have been achieved well, namely being able to minimize time in the submission process and there is user satisfaction with this system because it has helped to do the submission process online. This system is designed to simplify and speed up the process of submitting, verifying, and determining a supervisor, which was previously done manually and took longer. By using PHP technology as a programming language and MySQL as a database system, this system successfully automates various administrative processes involved in managing thesis titles
Penerapan Sistem Payment Gateway Pada E-Commerce Sebagai Upaya Peningkatan Penjualan
Authors: Sudianto Aris , Permana Baiq Andriska Candra , Muhammad Wasil  , Harianto
Published: January 2025

The development of information technology and the internet has changed consumers’ behavior in buying and selling transactions. This causes the online buying and selling business to grow rapidly. We can find this online buying and selling activity in various media such as social media platforms and online shop websites. However, most of the payment systems are though bank transfer system and then confirmation of proof of payment, which is arguably not safe and efficient. This is impractical and vulnerable from a security point of view, especially if payments are made online. Therefore, this study aims to design a web-based online store application by implementing a payment gateway system for safer and more efficient payment transactions. The method used in this study is the waterfall method with the stages of needs analysis, design, implementation, testing and maintenance. The result of this study is the design of an online store application that has been equipped with online payment services using the Midtrans payment gateway. This system provides transaction security for customers and can make it easier for buyers to make online payments when placing orders for products because with the payment gateway system, there are more choices of payment methods, including credit cards, bank transfers, electronic wallets (GoPay), or Indomaret and Alfamart, and many more. In addition, this research is also expected to contribute to online buying and selling businesses, especially the development of better online shop applications and provide inspiration for the public to start innovate in promoting their business products.
Pengembangan Aplikasi Point of Sales untuk Prediksi Penjualan Harian Usaha Minuman Menggunakan Algoritma Random Forest Regression
Authors: Verdiyanto Ricky , Hartanti Dwi , Purwanto Eko
Published: January 2025

The jumbo iced tea business is growing rapidly, but one partner in Solo faced challenges in manual transaction recording and sub-optimal stock management due to sales fluctuations. This problem has an impact on operational efficiency and customer satisfaction. This research aims to design and build a point of sales application with sales prediction features using random forest regression algorithms that are able to cope with non-linear data and have high accuracy. The method used is waterfall, which includes the stages of identification and planning, analysis, system design, implementation, and maintenance. The dataset for prediction is taken from historical daily sales data, with variables used including day of the week, weekend status, previous day's sales, and average sales of the previous 7 days. The test results show that the random forest regression model with a total dataset of 30 data has a good level of accuracy, with an average absolute error percentage of 2.85%. The application system developed is able to improve the operational efficiency of the jumbo iced tea business, support better decision making, increase profitability, and improve customer satisfaction through more structured stock and transaction management
Analisis Kompetensi Siswa Dalam Ilmu Robotika Menggunakan Mixed Methods
Authors: Taufik Akbar  , Jagat Sugiantara  , Arnila Sandi  , Martua Hamonangan Nasution  , Ari Satriadi
Published: January 2025

His study aims to evaluate the impact of robotics training on the technical and analytical skills of students at SMK NWDI Renco. The background of this research is based on the importance of developing technical and analytical skills in the era of the Industrial Revolution 4.0, where technology and automation have become integral parts of various industrial sectors. Vocational education at the high school level plays a strategic role in preparing a competent and adaptive workforce to meet technological advancements.The research method used is a mixed-method approach, combining both quantitative and qualitative methodologies. An experimental design was implemented with pre-test and post-test evaluations to measure changes in students' technical and analytical skills before and after the robotics training. Quantitative data were collected through specially developed technical and analytical skill tests, while qualitative data were gathered through in-depth interviews and Focus Group Discussions (FGDs) with students and teachers involved in the training.
The robotics training program was conducted over eight weeks, covering topics such as the fundamentals of robotics, programming, and practical applications through small-scale projects. Participants were purposively sampled and consisted of 30 eleventh-grade students from SMK NWDI Renco. A pre-test was conducted prior to the training to assess the students' baseline skills. During the training, direct observations were made to document students’ progress, and activities were documented. A post-test was conducted after the training to evaluate changes in technical and analytical skills. The results of the study showed a significant improvement in students’ understanding and skills. The average pre-test score was 63.2, while the average post-test score increased to 84.5. Specifically, the improvements included a 41.7% increase in the understanding of robotics concepts, a 35.4% improvement in microcontroller utilization, and a 24.6% improvement in sensor and actuator applications.
Implementasi Data Mining Menggunakan Algoritma Naïve Bayes Untuk Klasifikasi Penyaluran Dana Zakat
Authors: Muhammad Saiful  , Amri Muliawan Nur  , Aswian Editri Sutriandi  , Eka Puspita  , B. Nadila Nuzululnisa
Published: January 2025

Zakat is one of the pillars in Islam that aims to reduce economic disparity and assist those in need. Effective distribution of zakat requires a system capable of accurately identifying and targeting mustahik (zakat recipients). This study aims to implement data mining techniques using the Naïve Bayes Algorithm for the classification of zakat fund distribution at the National Amil Zakat Agency (BAZNAS) in East Lombok Regency. The Naïve Bayes Algorithm was chosen for its ability to predict categories based on probability and historical data. The data used is private data obtained through the financial reports of BAZNAS East Lombok Regency for the years 2022-2023, with 461 mustahik including family members, income, and economic status. There are 8 attributes used in this study. Data processing is conducted using RapidMiner software with the Naïve Bayes algorithm. The results show that the Naïve Bayes Algorithm achieved the best accuracy rate from the 3-fold validation test, amounting to 99.57% with an AUC value of 0.997%. The tests conducted provided excellent classification results. With this comprehensive and data-driven approach, it is hoped that this study can provide effective solutions to the current zakat fund distribution issues
Implementasi Algoritma K-Means Clustering Dalam Mengelompokkan Kepatuhan Wajib Pajak Bumi dan Bangunan Dengan Optimasi Elbow
Authors: Nur Amri Muliawan , Hariman Bahtiar  , Mila Agustiarini Jannah
Published: January 2025

Land and Building Tax (Pajak Bumi dan Bangunan, or PBB) is one of the primary sources of regional revenue that plays a significant role in supporting development across various regions. Therefore, efforts to improve tax compliance must be enhanced through various strategies, such as continuous socialization and education, to raise awareness of the importance of paying taxes. Additionally, improving the quality of services is essential. This study aims to classify the compliance levels of PBB taxpayers in Sakra District using the K-Means Clustering algorithm. The data used in this research is the 2023 PBB dataset for Sakra District, comprising 376 entries and involving five key attributes: land area, building area, PBB assessment, payment status, and penalties. The results obtained from processing using the K-Means algorithm indicate an optimal number of clusters, as follows: Cluster 1 represents a high compliance level, consisting of 355 items; Cluster 2 represents a moderate compliance level, consisting of 18 items; and Cluster 3 represents a low compliance level, consisting of 3 items. These clustering outcomes can serve as a reference for authorities in formulating more targeted strategies to enhance tax compliance through improved education and services in the future.
Pengembangan Model Convolutional Neural Network (CNN) untuk Klasifikasi Penyakit Kulit Berbasis Citra Digital
Authors: Imam Fathurrahman  , Mahpuz  , Muhammad Djamaluddin  , Lalu Kerta Wijaya  , Ida Wahidah
Published: January 2025

This study aims to develop a skin disease classification model based on Convolutional Neural Networks (CNN) specifically designed to classify three types of skin diseases: acne, ringworm, and tinea versicolor. Unlike some previous studies that utilized datasets from various domains such as textile images, plants, and blood cell images, this research specifically employs a dataset relevant to skin diseases. The dataset used in this study consists of 810 skin disease images, divided into 600 images for training (200 images each for acne, tinea versicolor, and ringworm) and 210 images for testing. To enhance data variation and support model generalization, the dataset was processed using augmentation techniques. The model's performance evaluation showed promising results, with an average accuracy of 87.14%. Additionally, the model achieved precision, recall, and F1-score values of 87% each, demonstrating its ability to detect and classify skin diseases consistently. This study is expected to serve as a foundation for developing more accurate and efficient technology-based diagnostic tools, particularly for skin diseases, in the future
Survei Teknik Pemilihan Fitur Untuk Sistem Deteksi Intrusi Berbasis Machine Learning
Authors: Ahmad Ramli
Published: January 2025

With the increasing threat to cybersecurity, Machine Learning (ML)-based Intrusion Detection Systems (IDS) are becoming increasingly important for detecting and preventing network attacks. The selection of appropriate features is a key factor in improving the performance of IDS, as it can enhance detection accuracy, reduce model complexity, and save computation time. This article examines various feature selection techniques used in ML-based IDS, including filter, wrapper, embedded, and hybrid techniques. Each technique has its advantages and disadvantages, depending on the characteristics of the dataset and the type of attack encountered. This research also evaluates the effectiveness of these techniques using popular datasets such as KDD Cup 99, NSL-KDD, and CICIDS 2017. The results show that filter techniques are more efficient in terms of time, while wrapper and hybrid techniques offer higher detection accuracy, although they require more resources. The embedded technique combines efficiency and accuracy with time savings in model training. This article also discusses the importance of good feature selection for classification in IDS, as well as the challenges faced by IDS in overcoming its limitations. This research provides a comprehensive overview of feature selection in ML-based IDS and recommendations for further development and implementation to address increasingly complex threats.
Penerapan Automatic Drip Irrigation System (ADIS) berbasis Internet Of Things (IoT) untuk Monitoring dan Meningkatkan Produktivitas Cabai
Authors: Samsu L.M. , Yahya  , Nurhidayati
Published: January 2025

Padamara Village is one of the villages in Sukamulia District with the largest agricultural expanse reaching 155 Ha, of which 90% is a productive area in the first and second planting seasons after rice. The cayenne pepper plant is a plant that is suitable for cultivation in highland and lowland areas. The optimal growth and yield of cayenne pepper plants is very dependent on adequate soil quality, proper watering management and fertilizer application. Checking soil conditions is very important for the growth of cayenne pepper plants which have optimal humidity of 50%-70% so that they are not too dry or wet with a soil pH of 6-7 and a temperature of 24-28 degrees Celsius. The "SEHATI" farmer group in Padamara Village, Sukamulia District, East Lombok Regency has around 45 farmers with an agricultural land area of ± 15.89 Ha as partners in the Implementation of an Automatic Drip Irrigation System (ADIS) based on the Internet of Things (IoT) for Monitoring and Increasing Productivity Chili in solving problems. Components such as Soil Moisture YL-69 for monitoring soil moisture and pH which will then be sent to the web server for subsequent reading of the results. ESP 32 as a microcontroller to turn on/off the pump water drops.