bluuebunny/crossref_metadata_2025 huggingface dataset:
APPLICATION OF REPRODUCTIVE HEALTH MONOPOLY GAME MEDIA TO INCREASE KNOWLEDGE ABOUT THE KRR TRIAD (SEXUALITY, HIV/AIDS AND DRUGS) AT PMB YUSTIN TRESNOWATI
Authors: Rahmadhani Wulan , Hamidah Talita Khairunnisa Jihan
Published: July 2024

Background: Adolescents are vulnerable to reproductive health problems. The problem of HIV/AIDS and Narcotics, Psychotropic, and Addictive Substance Abuse (NAPZA) in adolescents has not been properly resolved, even though the government has made both formal and informal efforts. Adolescents aged 10-17 years are eligible to receive early reproductive health education using suitable media. "Reproductive Health Monopoly Game About three risks faced by Adolescents (TRIAD KRR)" is designed for adolescents to increase their reproductive health knowledge. Monopoly games provide opportunities to play monopoly games that continuously educate the player to try, imitate, and apply it. Objective: This study aims to determine the effect of the Monopoly Game on Reproductive Health knowledge about the TRIAD KRR in adolescents; Method: This qualitative descriptive study used a case study design. Data were obtained from questionnaire scores. This study involved 5 adolescents aged 16-18 years as respondents. The instruments used were pre-test and post-test questionnaires;Results: The use of the Reproductive Health Monopoly Game about the TRIAD KRR managed to increase adolescents knowledge about the TRIAD KRR with the good category;Conclusion: Monopoly game media can help increase adolescents' knowledge about reproductive health, particularly the TRIAD KRR;
COMBINATION OF PERINEUM MASSAGE AND PELVIC ROCKING TO REDUCE THE OCCURRENCE OF RUPTURE PERINEUM
Authors: Novyriana Eka
Published: July 2024

Background: In Asia, perineal lacerations are quite a problem in society, 50% of perineal ruptures occur in the world. Maternity mothers who experience perineal lacerations in Indonesia at the age of 25-30 years is 24%, while for mothers aged 32-39 years it is 62%.Objective: Applying Perineal Massage and Pelvic Rocking to reduce the incidence of rupture perinealMethod: This study uses descriptive research, data collection techniques in the form of primary and secondary data. Participants in this care were pregnant women with a gestational age of more than 36 weeks, a total of 3 participantsResult: After applying perineal massage and pelvic rocking, there was an effect of perineal massage and pelvic rocking on the occurrence of rupture perinealConclusion: From the results of applying perineal massage and pelvic rocking to the three participants, none of them experienced perineal rupture.
Improving the Accuracy of House Price Prediction using Catboost Regression with Random Search Hyperparameter Tuning: A Comparative Analysis
Authors: Hartono Faezal , Muljono Muljono , Fanani Ahmad
Published: July 2024

Achieving a significant improvement over traditional models, this study presents a novel approach to house price prediction through the integration of Catboost Regression and Random Search Hyperparameter Tuning. By applying these advanced machine learning techniques to the King County Dataset, we conducted a thorough regression analysis and predictive modeling that resulted in a marked increase in accuracy. The baseline model, a conventional linear regression, provided a foundation for comparison, evaluating performance metrics such as R-squared and Mean Squared Error (MSE). The meticulous hyperparameter tuning of the Catboost model yielded a remarkable improvement in predictive accuracy, demonstrating the efficacy of sophisticated data science techniques in real estate and property valuation. The percentage increase in accuracy over the baseline model is explicitly stated in the abstract.
Presentación No.7
Authors: Barrera Enderle Víctor
Published: July 2024

Presentación Número 7
Estética narrativa del Gran Caribe: apuntes para una poética de Germán Espinosa
Authors: Hernández Suárez Diana Marisol
Published: July 2024

En el siguiente trabajo se exponen algunos apuntes para comprender la poética del escritor colombiano Germán Espinosa en relación con la noción de Caribe, aspecto que se puede ver de forma concreta en su idea de novela como un ensayo sintetizador de experiencias, imágenes y, sobre todo, de medios de representación artística. Así pues, se busca mostrar que la noción de “ampliación genérica” que Espinosa concibe para su narrativa es parte de la idea que el autor tiene de la cultura caribeña, como un espíritu que se expande y trasciende, inaprensible en una sola forma de expresión artística y, sin embargo, materializado a través de una poética.
La transculturación de la novela en José Trigo de Fernando del Paso
Authors: Rutilo Aguilar Carlos
Published: July 2024

Artículo sobre la transculturación de la novela en José Trigo, análisis literario y breve historia de la novela latinoamericana de principios y mediados del siglo XX.
Polémica y tradición. Incidencia del campo literario en dos antologías por Xavier Villaurrutia
Authors: Cerda de la Rosa Miguel
Published: July 2024

El campo literario mexicano después de la Revolución mexicana se vio envuelta en el proceso de configuración ante la nueva situación política, social e intelectual. Pronto comenzaría una polémica entre dos posturas de concepciones de la literatura -con dos términos igual de polémicos: “literatura viril” y “literatura afeminada”- en 1925 y otra similar siete años más tarde, en 1932, cuando se cuestiona la idea de una literatura nacional retomando los ideales del conflicto civil ante las ideas influidas por las vanguardias extranjeras que buscaban una concepción universal y cosmopolita. Como participantes de ambos momentos, el grupo de Contemporáneos postula sus ideas estéticas en la producción de su revista homónima y los esfuerzos individuales de sus miembros para reafirmar su postura, entre ellos la contribución Xavier Villaurrutia quien publica antologías de poemas de dos autores mexicanos distinguidos, como lo son Ramón López Velarde y sor Juana Inés de la Cruz. Villaurrutia utiliza dispositivos basados en sus textos críticos para elaborar estas recopilaciones con la finalidad de proponer una tradición literaria mexicana ante la posibilidad de configurar el nuevo campo literario definitorio para el resto del siglo XX.
Espacio y gastronomía en Las golosinas secretas, de Juan Villoro
Authors: Herrera Manuel Santiago
Published: July 2024

Resumen: en la literatura infantil, el alimento no solo funge como un aspecto fisiológico, sino también denota el espacio corporal de los personajes con sus respectivos comportamientos. Este trabajo muestra los roles de género gestados actualmente, a través de la gastronomía, en el texto Las golosinas secretas, del escritor mexicano Juan Villoro.Las preguntas que guían esta indagación son: ¿cuál es la imagen social proyectada entre los actantes por medio del alimento? ¿De qué manera la comida actúa como un catalizador para convivir en espacios alternos? ¿Cómo el realismo mágico permite la invisibilidad de los roles de género desde temprana edad? La metodología empleada es cualitativa descriptiva, y se emprende un estudio semiótico-cultural.Dentro de los sustentos teóricos se encuentran el realismo mágico de Bautista Ramírez (2014), para abordar ambos términos (realidad-magia) en la cuentística infantil; la semiótica de la cultura de Lotman (1996), para visualizar el concepto de memoria; las fronteras-pasajes de Toporov (1983), para analizar el tránsito de los personajes en estas dimensiones; la polisemia alimentaria de Vélez Jiménez (2013), para mostrar las desigualdades en torno a la posición social y económica de los actantes por medio de la comida; y el tiempo en Uspenski (2003), para reafirmar el recuerdo como parte de una misión.
Ella escribe, la borran y la reescriben: análisis de la escritura autobiográfica desde la literatura de archivo en las novelas El acontecimiento (2019) de Annie Ernaux y El invencible verano de Liliana (2021) de Cristina Rivera Garza
Authors: Serna Moreno Angeles Stefanya
Published: July 2024

La presente investigación analiza los elementos que construyen a la literatura de archivo (los diarios, cartas, documentos oficiales, etcétera) como parte del discurso literario y recurso estético de la literatura autobiográfica en las novelas El acontecimiento (2019) de Annie Ernaux y El invencible verano de Liliana (2021) de Cristina Rivera Garza. En ambas obras se aplica el aparato crítico propuesto por Roberto González Echeverría que consiste en la percepción del archivo como cuerpo de registro histórico que conecta el pasado con el presente anecdótico de la cada una de las dos novelas. Además, la pertinencia de este estudio radica en los acercamientos teóricos sobre la escritura y la literatura autobiográfica, no sólo a nivel nacional, sino también a nivel internacional, debido a que en el 2022 las obras de Ernaux y Rivera Garza fueron acreedoras a reconocimientos que enmarcan la literatura del siglo XXI.
DETERMINANTS OF INVESTMENT INTEREST AMONG MANAGEMENT STUDENTS, CASE STUDY: STUDENTS OF UNIVERSITAS PEMBANGUNAN NASIONAL VETERAN JAWA TIMUR
Authors: Firdaus Andrew Baihaqi , Wikartika Ira
Published: July 2024

Investment involves the long-term allocation of funds with the objective of generating profits. Notably, the number of investors has experienced a significant increase over the years. This phenomenon can be attributed to several factors that positively influence the growth of future investment users, thereby motivating the investment interest of potential investors to allocate their capital in the Indonesian capital market. This research aims to analyze investment interest by examining the influence of financial literacy, financial self-efficacy, risk perception, and return perception on investment interest among Management students of UPN "Veteran" East Java. The population for this study comprised Management students from the 2020 to 2023 batches at UPN "Veteran" East Java. The sampling technique employed was stratified random sampling, with 100 respondents selected as the sample. Data collection was carried out through a questionnaire method, and the data analysis technique utilized was PLS. The findings of the study indicate that financial self-efficacy, return perception, and risk perception significantly influenced investment interest, while financial literacy did not have a significant effect on student investment interest.
ANALYSIS OF THE COMPARISON OF SAGA SEED TEMPEH WITH SOYBEAN TEMPEH ON THE PROXIMATE QUALITY VALUE OF THE PRODUCT
Authors: Hasibuan Saddam , Asben Alfi , Permata Deivy Andhika
Published: July 2024

Tempe merupakan salah satu makanan kesukaan masyarakat Indonesia. Namun seiring dengan bertambahnya jumlah penduduk, kebutuhan akan tempe juga meningkat sedangkan bahan baku dalam pengolahan tempe yaitu kacang kedelai tidak mencukupi bagi para penghasil tempe. Selain kacang kedelai, tempe dapat dibuat dari bahan baku lain seperti biji saga. Hal ini dikarenakan saga memiliki kandungan protein yang lebih tinggi dibandingkan dengan kacang kedelai. Untuk mengoptimalkan pemanfaatan saga, maka perlu dilakukan perbandingan tempe kedelai dengan tempe saga yang dihasilkan. Penelitian ini bertujuan untuk mengkaji perbedaan tempe kedelai dengan tempe saga. Desain penelitian yang digunakan adalah membandingkan tempe kedelai dengan tempe saga dengan menggunakan uji Independent T test. Hasil yang diperoleh selanjutnya dianalisis dengan menggunakan program SPSS. Hasil penelitian menunjukkan bahwa perbandingan tempe saga dan tempe kedelai memberikan pengaruh yang nyata (p˂0,05) terhadap protein, kadar air, serat kasar, flavonoid dan tekstur. Namun tidak terdapat pengaruh yang nyata (p˃0,05) terhadap kadar abu dan kadar lemak.
Mengunyah Buah Semangka dan Buah Pepaya California Terhadap Debris Indeks Pada Anak Tunanetra (Studi di SLB A YPAB Surabaya)
Authors: Kholifah Nurjannah
Published: July 2024

Latar Belakang: Penyandang tunanetra sering memiliki status kebersihan mulut yang lebih buruk dibandingkan dengan masyarakat umum. Kebersihan gigi dan mulut yang buruk juga dapat berdampak negatif pada kehidupan sehari-hari, seperti melemahnya kepercayaan diri dan mengganggu kinerja seseorang serta mempengaruhi tingkat kehadiran di sekolah atau tempat kerja. Skor debris indeks dapat dipengaruhi oleh jenis makanan yang dikonsumsi seseorang. Angka debris indeks dapat diturunkan dengan cara mengonsumsi makanan yang kaya akan serat dan air. Tujuan: untuk mengetahui perbedaan mengunyah buah semangka dan pepaya California terhadap debris indeks pada anak tunanetra. Metode: Jenis penelitian ini adalah quasi experiment dengan rancangan pre dan post design dengan populasi 32 siswa SLB A YPAB Surabaya. Instrumen pengumpulan data yang digunakan adalah lembar observasi. Teknik analisis data menggunakan uji Mann Whitney. Hasil: Dari uji Mann Whitney didapatkan nilai ? debris indeks sebelum dan sesudah mengunyah buah semangka sebesar 0.000 dengan nilai Mean ± SD 1.219 ± 0.603. Nilai ? debris indeks sebelum dan sesudah mengunyah buah pepaya California sebesar 0.004 dengan nilai Mean ± SD 1.438±0.620. Hal ini menunjukkan bahwa nilai ? < nilai ? (0,05). Kesimpulan: Adanya perbedaan mengunyah buah semangka dan buah pepaya California terhadap debris indeks pada anak tunanetra. Buah semangka adalah alternatif buah untuk menurunkan angka debris.
Oral Rehabilitation of Early Childhood Caries: A Case Report
Authors: Makmur Shoimah , Putri  , Finsa
Published: July 2024

Background: Early Childhood Caries (ECC) can begin early in life, progress rapidly in those who are at high risk, and often go untreated. It is a disease that affects children below age 6 years old. Purpose: To prevent caries that will continue and get the esthetic rehabilitation. Case: A 3-year-old girl came with her parents to RSGM UGM with chief complaints of cavities in upper anterior and posterior teeth. Based on anamnesis and clinical examination, it can be concluded that the patient had ECC. Discussion: Early childhood caries is an infectious disease of the primary teeth in children which if not intervened at an early stage can lead to severe destruction of the teeth in the primary dentition. The treatment plan included dental hygiene education, endodontic and restoration, topical application of fluoride and post-treatment control. A psychological approach is needed so that patients can be cooperative and communicative. Conclusion: It is important that dentist are capable of early diagnosing and treating ECC. The treatment is not only provide dental benefits but also plays a role in enhancing the patient’s esthetic appearance and psyco-social wellbeing.
Will Virtual Reality Experience Quality be an Alternative to Offline Visit Decision? Review of Literature on Tourist Behaviour on Instagram Social Media
Authors: Kusumawati Andriani , Pangestuti Edriana , Rahayu Karisma Sri
Published: July 2024

Virtual reality is the latest addition to the tourism industry, leveraging advancements in Internet technology. The advent of Virtual Reality (VR) tourism technology offers a comprehensive portrayal of tourist destination details and mitigates customer apprehension or uncertainty by acquainting consumers with unfamiliar locales. Virtual reality is a highly captivating advancement in tourism marketing that enables consumers to immerse themselves in and encounter destinations in real-time. The objective of this study is that explains how virtual reality can be used to replace traditional offline decision-making processes in the tourism industry. This study employs a comprehensive review of existing literature on the utilisation of virtual reality and its influence on offline visitation choices. Subsequently, a conceptual framework and research hypotheses are formulated. This research paper explores the behaviour of tourists who engage in offline or virtual experiences. Multiple articles were assessed for future research advancements. The findings of this study reveal distinct patterns of tourist behaviour, particularly among millennials, in relation to their ability to adapt to technological advancements. The research findings are anticipated to offer both theoretical and practical benefits to stakeholders involved in tourism technology, particularly in its application as a marketing instrument.
The Effect of Environmental Knowledge and Perceived Value on Visitor Experience in Forest Recreation
Authors: Rahmafitria Fitri , Kaswanto  , Mosyaftiani Amarizni , Wiyoga Harityas
Published: July 2024

Vandalism and environmental degradation pose challenges in natural recreation areas, prompting the need for interventions to promote environmental consciousness and nature appreciation. This study investigates the role of knowledge and perceived value in enhancing ecological experiences. A five-point Likert scale survey was distributed to 235 visitors at Djuanda Forest Park in Bandung, Indonesia. Structural Equation Modeling (SEM-PLS) was employed to analyze direct and indirect influences. The results demonstrate that enhancing ecological perceived value positively impacts visitors' interactions with nature. Moreover, increased actual knowledge regarding environmental degradation enhances the perceived value of outdoor recreation in natural settings. These findings highlight the importance of developing educational programs in natural recreation areas to support sustainable environmental practices.
Identification of Place Identity Characteristics in Walking Tour of Peneleh Heritage Kampong, Surabaya City, Indonesia
Authors: Prathama Dimas Wahyu Aji , Idajati Hertiari
Published: July 2024

Peneleh Kampong in Surabaya, Indonesia, is a significant heritage area known for its walking tour activities organized by the local community group, Begandring Soerabaia, since 2021. This study aims to identify and analyze the characteristics of these walking tours using the place identity approach, addressing management issues that may affect the area's identity. Data were collected through in-depth interviews with key community members and analyzed using content analysis. The findings reveal 107 characteristic points of walking tour management, distributed across three aspects: physical settings (34 citations, 31.78%), activities (39 citations, 36.45%), and meanings (34 citations, 31.78%). These insights contribute to the preservation of the cultural heritage in Peneleh Kampong and support sustainable tourism development by strengthening its place identity. This research underscores the importance of community involvement and strategic management in enhancing heritage tourism experiences.
PELATIHAN PEMANFAATAN MEDIA PEMBELAJARAN DIGITAL BERBASIS GAME DAN ARTIFICIAL INTELEGENCE BAGI GURU-GURU SEKOLAH DASAR DI KECAMATAN CUGENANG
Authors: Nurviyani Vina , Helmie Jauhar , Kurniawati Nia , Halimah Halimah , Maolida Elis Homsini , Saepuloh Asep , Salsabila Vina Aini , Sofarini Anisa , Rahman Reza , Azhar Muhammad Helmi , Utama Gina Nanda , Nasrullah Muhamad Lifadhli
Published: July 2024

Dalam merencanakan, melaksanakan, dan menilai pembelajaran yang efektif, setiap guru sekolah dasar harus memiliki kompetensi pedagogik.  Namun, hasil temuan dari beberapa riset menunjukan bahwa banyak guru sekolah dasar yang membutuhkan peningkatan keterampilan dan pengetahuan yang memadai dalam menggunakan media pembelajaran digital sebagai bagian dari kompetensi pedagogik selama proses pembelajaran. Hal tersebut selaras dengan hasil analisis kebutuhan di Kecamatan Cugenang yang menunjukan bahwa kompetensi pedagogik yang dimiliki guru-guru sekolah dasar di Kec. Cugenang, khususnya dalam pemanfaatan media pembelajaran digital, perlu ditingkatkan. Salah satu upaya untuk mengatasi hal tersebut adalah pelaksanaan pelatihan  pemanfaatan media pembelajaran digital bagi guru-guru sekolah dasar di Kec. Cugenang. Pelatihan tersebut bertujuan untuk meningkatkan kompetensi pedagogik guru-guru sekolah dasar di Kecamatan Cugenang terutama kemampuan dalam memanfaatkan teknologi untuk proses pembelajaran. Pelatihan tersebut dilaksanakan melalui webinar dengan melibatkan 214 guru-guru sekolah dasar yang berasal dari 50 sekolah dasar di Kec. Cugenang, Cianjur. Penyelenggaraan pelatihan tersebut dilakukan dalam tiga tahapan, yakni 1) persiapan pelatihan, 2) pelaksanaan pelatihan, dan 3) evaluasi pelatihan. Berdasarkan data yang diperoleh dari observasi selama webinar dan kuisioner yang diisi oleh semua partisipan, hasil menunjukan bahwa penyelenggaraan pelatihan tersebut memberikan inspirasi serta memperluas wawasan para guru sekolah dasar di Kec. Cugenang tentang pemanfaatan media pembelajaran digital berbasis game dan artificial intelligence untuk mengoptimalkan kompetensi pedagogik yang mereka miliki serta untuk mengeefektifan proses belajar mengajar.
PELATIHAN DESAIN MODUL AJAR BERBASIS IT DALAM IMPLEMENTASI KURIKULUM MERDEKA
Authors: Rahayu Diar Veni , Lestari Puji , Madawistama Sri Tirto , Supratman Supratman , Ratnaningsih Nani , Ni'mah Khomsatun
Published: July 2024

Tujuan dari pengabdian masyarakat ini adalah agar guru-guru SD di wilayah kota Tasikmalaya dan guru-guru MTs di wilayah Kota Banjar mampu mendesain dan membuat modul ajar berbasis IT untuk menunjang kelancaran dalam melaksanakan pembelajaran matematika dalam implementasi kurikulum merdeka. Metode yang digunakan adalah pelatihan/tutorial tentang tatacara desain modul ajar berbasis IT, workshop pembuatan modul ajar berbasis IT, dan simulasi pembelajaran dalam implementasi kurikulum merdeka. Sebagai Mitra dalam Pengabdian Masyarakat ini adalah Kelompok Kerja Guru (KKG) SD di wilayah Kota Tasikmalaya dan MGMP Matematika MTs di wilayah Kota Banjar. Kegiatan pengabdian dilakukan dengan tahapan yang meliputi persiapan, pelaksanaan, dan pelaporan. Pada tahap persiapan dilakukan kegiatan koordinasi dan konsolidasi terkait permasalahan yang dihadapi Mitra disertai analisis situasi dan ketersediaan sumber daya seperti fasilitas/sarana prasarana, dana, sumberdaya manusia dan alokasi waktu. Pada tahap pelaksanaan, dilakukan kegiatan pelatihan, workshop dan simulasi yang dilakukan dalam beberapa pertemuan yang disertai dengan pendampingan dengan target luaran guru mampu mendesain dan membuat modul ajar berbasis IT serta melaksanakan pembelajaran matematika secara optimal dalam implementasi kurikulum merdeka sampai dengan dihasilkan produk berupa modul ajar berbasis
Hubungan Kompetensi Manajerial dan Supervisi Akademik Kepala Sekolah terhadap Inovasi Pembelajaran
Authors: Nurani Siti , Syarifah Ety , Purwanto Agus Joko
Published: July 2024

Inovasi pembelajaran merupakan salah satu aspek penting dalam dunia pendidikan. Dengan adanya inovasi pembelajaran dari guru, siswa akan lebih termotivasi dalam mengikuti pelajaran. Beberapa aspek pendukung dalam terciptanya inovasi pembelajaran guru antara lain kompetensi manajerial kepala sekolah dan supervisi akademik. Tujuan dalam penelitian ini antara lain menganalisis hubungan antara kompetensi manajerial kepala sekolah terhadap inovasi pembelajaran guru SD di Kecamatan Salam, Menganalisis hubungan antara supervisi akademik kepala sekolah terhadap inovasi pembelajaran guru SD di Kecamatan Salam dan Menganalisis hubungan antara kompetensi manajerial dan supervisi akademik kepala sekolah terhadap inovasi pembelajaran guru SD di Kecamatan Salam. Metode penelitian menggunakan pendekatan kuantitatif dengan jenis penelitian korelasional. Adapun sampel yang diambil sejumlah 104 orang dari populasi guru di kecamatan Salam sebanyak 141. Hasil penelitian menunjukkan ada hubungan antara kompetensi manajerial dengan inovasi pembelajaran. Selain itu, hubungan supervisi akademik terhadap inovasi pembelajaran pun ditemukan adanya pengaruh yang positif. Sementara dari hasil penelitian menunjukkan bahwa terdapat pengaruh positif yang sangat signifikan antara kompetensi manajerial dan supervisi akademik terdapat inovasi pembelajaran guru.
Studi Korelasi Pengetahuan Kesehatan Gigi dan Mulut dengan Kejadian Periodontal pada Masyarakat
Authors: Anggraini Devita Anugrah , Galaresa Achmad Vindo , Nilasari Elsa
Published: July 2024

Latar Belakang: Kesehatan mulut dan gigi dapat menyebabkan dampak negatif terhadap perkembangan dan kualitas hidup. Kebersihan mulut dan gigi menyebabkan terjadinya kalkulus dan peradangan pada gusi sehingga menyebabkan penyakit Periodontal. Keberhasilan menjaga kesehatan gigi dan mulut dapat tergantung pada pengetahuan masyarakat sekitar.  Tujuan penelitian: untuk mengetahui hubungan  pengetahuan tentang kesehatan gigi dan mulut dengan kejadin Periodontal di desa jatigembol kecamatan kedunggalar kabupaten Ngawi. Metode penelitian: Jenis korelasi dengan desain Cross sectional. Teknik sampling menggunakan Simple Random Sampling dengan jumlah seluruh sampel 82 orang. Analisa dengan menggunakan  uji statistik Chi Square dengan progam SPPS Hasil: Sebagian besar Masyarakat terjadi periodontal dengan total responden 47 (57,3%) sedangkan Masyarakat yang lain tidak terjadi periodontal dengan jumlah 35 responden dengan presentase 42,7 %. yang berarti ada hubungan antara pengetahuan  kesehatan gigi dan mulut dengan kejadian penyakit Periodontal di Desa Jatigembol Kecamatan Kedunggalar Kabupaten Ngawi. Kesimpulan: Sebagian besar masyarakat di Desa Jatigembol Kecamatan Kedunggalar Kabupaten Ngawi mengetahui kejadian penyakit Periodontal. Menjaga kesehatan gigi dan mulut itu sangat penting karena untuk mencegah terjadinya penyakit periodontal.
Sistem Pemantauan Suhu, Kelembapan Udara dan pH Air pada Rumah Anggur berbasis Internet of Things Menggunakan Aplikasi Website
Authors: Mislaini Mislaini , Ruslianto Ikhwan , Kasliono Kasliono
Published: July 2024

Grapes are plants that are difficult to grow in tropical climates. It requires specific enviromental conditions as well as special care, with optimal growth of grapes occuring in lowlands (0-300 masl) with a humidity score ranging from 75% - 80% humidity and temperatures between 23°C - 31°C, and a water pH level from 5.5 pH - 7.3 pH. To achieve these ideal conditions, technology in the form of an Internet of Things (IoT) system and a greenhouse is used in order to monitor and control the grapes' growing environment. The use of this technology aims to improve efficiency and productivity by taking into account the temperature, humidity and water pH level as factors which affect the growth, quality, and yield of grapes. Research result shows that the use of IoT technology in controlling temperature and humidity air effectively increases the productivity of grapes. This can be seen from the increase in the number of leaves, stem length, and number of shoots on grapes that were monitored and controlled by the IoT system. The results of testing the accuracy of each sensor by conducting 15 experiments show that the average water pH measurement accuracy is 0.1%, while temperature measurements and air humidity has an average accuracy of 0.1% and 0.3% respectively. In addition, the average response time of the system in controlling mist makers, fans and pumps alkaline is 3 seconds based on 15 tries.
Sistem Antrian Pelanggan Menggunakan Metode Jackson Network Queue
Authors: Niamaskur Mukhamad , Widiyanto Andi , Setiawan Agus
Published: July 2024

Information systems can be applied in various fields either as the main means or to increase productivity or service quality. One of the uses of technology is that it is used as a means to make it easier for customers to place orders which aims to avoid queues that are too long. Setia Car Spare Parts Store is a provider of car spare parts that has many customers which sometimes makes the customer queue too much. This sometimes makes customers, especially new customers, impatient to queue. To make the queue more orderly, a queuing system will be built to maximize service and increase customer satisfaction which is calculated using the Jackson method. This method was chosen to calculate the time that is considered in accordance with what the customer expects. The queuing system applied to the system built is a single channel FIFO. From the results of system testing carried out, the application of a queuing system with online ordering by applying the Jackson method can enable employees to serve 48 customers in a day with an average of 15 minutes of service time. These results are more when compared to offline services where each employee can only serve 41 customers with an average service time of 17.56 minutes.
Sistem Pendukung Keputusan Dalam Pemilihan Buah Semangka yang Layak Dijual Menggunakan Metode AHP dan PROMETHEE
Authors: Indriyani Agil , Putri Raissa Amanda
Published: July 2024

Watermelon and Melon Buying and Selling Twins is a business that exports watermelons and melons to various cities owned by Mr. Kliwon whose address is at Pulau Gambar Village. In the Watermelon and Melon Buying and Selling Twins, in selecting the best quality watermelons suitable for sale, problems were found, namely that usually because they were affected by high prices, farmers did not prioritize the best quality watermelons and only focused on the number of fruits to be sold and agents had difficulty selecting watermelons. The best quality is suitable for sale, especially for export outside the city. So, with this problem, the author took the initiative to solve the problem correctly and maximize the determination of watermelons that are suitable for sale by designing and building a web-based decision support system by applying the AHP and PROMETHEE methods to help agents determine the best quality of watermelon. The design of this web-based application was carried out by conducting research at the Watermelon and Melon Buying and Selling Twins by collecting data on watermelon fruit and criteria data on watermelon fruit. After the data was collected, each fruit was weighted and ranked and then entered into the application that had been built. Based on the calculation results in this research, alternative weighting using the AHP method helps weighting with a weight scale of 1 - 9 according to AHP provisions. After carrying out alternative weighting, the next ranking is using the PROMETHEE method to get the netflow value, ranking 1 is obtained by 15 with a netflow value of 3,583 and Rank 15 is obtained by fruit 5 with a netflow value of -1.833.
Perbandingan Algoritma MOORA dan Profile Matching pada Sistem Pemilihan Pupuk untuk Tanaman Porang
Authors: Siregar Farid Akbar , Hutagalung Fatma Sari , Basri Mhd
Published: July 2024

Porang plants have long been utilized as a source of carbohydrates, fats, proteins, minerals, vitamins, and dietary fiber, which are exported as raw materials for various industries. In recent years, porang plants have become a highly profitable export commodity. One of the critical factors influencing porang plant production is fertilization. The timely, precise dosage, and correct method of fertilization determine the effectiveness of the fertilizer applied. MOORA considers various criteria in a balanced manner. Its ability to optimize the ratios between these criteria enables a more comprehensive selection of fertilizers. Profile Matching can be effective when specific criteria need to be emphasized over others. However, this method may not yield optimal decisions when several criteria carry significant weight. This research aims to determine the best type of fertilizer by applying a Decision Support System (DSS) and provides the benefit of assisting farmers in determining the most suitable fertilizer types for each phase of porang growth.In this study, a comparison was made between the MOORA and Profile Matching algorithms in the context of fertilizer selection for porang plants, using 7 fertilizer alternatives and 6 criteria types. Based on the research results, it can be concluded that both algorithms produce relatively similar outcomes, but the Profile Matching algorithm has a faster processing time compared to the MOORA algorithm in determining results. The contributions of this research include the development of a fertilizer selection system to help farmers optimize the growth and harvest of their crops. It also contributes to scientific literature and the comparison of algorithms, which can assist scientists and practitioners in selecting the most appropriate algorithms for similar problems in the future.
Prioritas Penanganan Anemia pada Ibu Hamil Menggunakan Metode TOPSIS
Authors: Rifqi Naufal , Iskandar Agus
Published: July 2024

During pregnancy, women experience anemia which can negatively impact maternal health and fetal development. The government has taken various measures to address anemia in pregnant women, but the reduction in anemia rates has not been significant. Therefore, the treatment needs to be focused on individuals with high risk to be more effective. Decision Support System (DSS) is a tool used in complex decision-making processes and one of the methods is TOPSIS. TOPSIS is used to set priorities by comparing each alternative against predetermined positive and negative ideal solutions. In this study, there are 10 alternatives and 5 criteria. Based on the results of calculations with the TOPSIS method, Alternative 3 (A3) with a preference value of 0.246561061 is designated as a pregnant woman who must be prioritized in handling anemia.
Sistem Pendukung Keputusan Rekomendasi Objek Wisata Menerapkan Metode MABAC dan Pembobotan ROC
Authors: Nugroho Fifto , Triayudi Agung , Mesran Mesran
Published: July 2024

North Sumatra possesses abundant potential for tourist attractions, yet achieving the optimal selection of these attractions poses a challenge. Therefore, a decision support system is required to aid in the decision-making process for choosing the most suitable tourist attractions. In this study, the Multi Atributive Border Approximation Area Comparison (MABAC) method is employed to rank tourist attractions based on predefined criteria. MABAC combines geometric approaches with boundary approximation area comparison analysis to calculate priority scores for each tourist attraction. Additionally, the Rank Order Centroid (ROC) method is used to assign weights to the identified criteria. This research reveals various issues in the selection of tourist attractions in North Sumatra, such as complex criteria, variations in criteria weights, and insufficient tools to address these challenges. The primary objective of this study is to develop a decision support system capable of assisting stakeholders in selecting tourist attractions aligned with their preferences and objectives. The outcome of this research is the development of an efficient decision support system to aid in the selection of tourist attractions in North Sumatra. This system reduces subjectivity in decision-making, provides more accurate ranking based on established criteria, and assists stakeholders in understanding the process of selecting tourist attractions in a more transparent manner. The implications of this research include enhancing the quality of decision-making in the tourism industry and optimizing the utilization of tourist attraction potential in North Sumatra. As for the tourism recommendation with the highest rank, alternative 3 is obtained with a value of 0.6343, namely Paropo natural tourism.
Perbandingan Algoritma Naive Bayes, Decision Tree, dan KNN untuk Klasifikasi Produk Populer Adidas US dengan Confusion Matrix
Authors: Firdaus Lazuardi , Setiadi Tedy
Published: July 2024

Adidas America, Inc. (also known as Adidas US) is a company that produces shoes, clothing, and accessories as a subsidiary of Adidas AG, which is known worldwide for its trademark three stripes on its products. Product popularity is very important in increasing sales, especially for products that are frequently purchased, positively reviewed by customers, and reviewed by customers. In this case, there are Adidas US products whose popularity is still unknown. Therefore, in this case, popular Adidas US products will be classified as business needs of Adidas US. The classification algorithm used to classify popular products is Naive Bayes, Decision Tree, and KNN for classifying the popularity of Adidas products in the United States using the CRISP-DM method on the dataset. The data mining process is performed to discover patterns in the data set with the stages of business understanding, data pre-processing, and classification modeling with three different algorithms. The results of the three algorithms are tested with a confusion matrix, and the highest accuracy value is achieved by Decision Tree with 92.42%, making it the best algorithm for classifying popular Adidas US products.
Implementasi Speech Recognition Menggunakan Long Short-Term Memory untuk Software Presentasi
Authors: Adhitama Satriya , Avianto Donny
Published: July 2024

Presentation is one of the methods for delivering thoughts, ideas, and concepts to an audience verbally. Presentation activities can be supported by presentation software that can be used to organize the sequence of material to be presented with visually appealing visuals. Operating presentation software requires technical assistance such as a remote, mouse, keyboard, and even a personal assistant, which can be distracting to the presenter as it limits their freedom in delivering the material. This distraction can be addressed through the implementation of speech recognition as a command to operate presentation software, making it easier for the presenter. A speech recognition system is developed using Long Short-Term Memory (LSTM), which can handle the issues of long-term dependency and vanishing gradient associated with Recurrent Neural Networks (RNN). There are 10 command words used to operate the presentation software. LSTM demonstrates superior performance when compared to alternative techniques like DNN, CNN, and SimpleRNN, achieving a training accuracy of 96.5%, a validation accuracy of 94.8%, and a testing accuracy of 94%. The LSTM method can be effectively used for sequential data to recognize real-time speech.
Sistem Pendukung Keputusan Penentuan Jasa Ekspedisi Terbaik Menerapkan Metode ARAS
Authors: Saragih Nova , Triayudi Agung , Mesran Mesran
Published: July 2024

The increase in users of goods delivery services throughout Indonesia has resulted in more and more new companies in this field. Consumers also believe in using their services in sending their goods delivered using goods delivery services. The large number of companies that run the goods delivery service business, makes users confused in shipping goods to consumers. There are factors that influence the freight forwarding company's services to be known by the public and the level of promotion from each expeditionary party so that people are confident in using the freight forwarding services. In determining the best expedition services in the city of Medan there are several criteria, namely service, experience, responsiveness, cost and age. Based on these problems, a decision support system is needed as a problem solving technique and is assisted by a method that can produce an accurate final value. The method is the Additive Ratio Assessment (ARAS) method in which the method is very helpful in producing the best weight and preference values from alternative data and criteria so that the final result is to determine the best expedition services in the city of Medan in Alternative A14 with a value of 1.0000, namely expedition services TNT.
Analisis Perbandingan Algoritma C4.5 dan Modified K-Nearest Neighbor (MKNN) untuk Klasifikasi Jamur
Authors: Rahmadhani R. , Nazir Alwis , Syafria Fadhilah , Afriyanti Liza
Published: July 2024

Mushrooms are organisms that consist of several cells, contain spores, are eukaryotic (have a cell nucleus membrane), and do not have chlorophyll, so fungi depend on other organisms to get food. Mushrooms have very identical shapes, starting with size, shape, smell, and color. So it is difficult for ordinary people to differentiate between poisonous mushrooms and non-poisonous mushrooms. Mistakes in identifying mushrooms can have fatal consequences because they can cause poisoning when consuming mushrooms. Therefore, there is a need for education in classifying poisonous and non-poisonous mushrooms. By applying various classification algorithms, it can be determined which algorithm performs better. In previous research conducted by several researchers on classifying mushrooms, there were differences in the accuracy results for each algorithm. Therefore, this research will raise the question of how to measure or comparion algorithm performance in classification using the C4.5 algorithm and the Modified K-Nearest Neighbor (MKNN) algorithm. The results obtained by comparion the performance of the C4.5 algorithm and the Modified K-Nearest Neighbor (MKNN) algorithm in this research show that the C4.5 algorithm managed to obtain an accuracy level of 98.52%, precision of 98.55%, recall of 98.52%, and f1-score of 98.51%. In contrast, the Modified K-Nearest Neighbor (MKNN) algorithm using the value K=10 achieved an accuracy level of 96.62%, precision of 96.69%, recall of 96.62%, and f1-score value of 96.57%.
Clustering Data Persediaan Barang Menggunakan Metode Elbow dan DBSCAN
Authors: Berliana Trisia Intan , Budianita Elvia , Nazir Alwis , Insani Fitri
Published: July 2024

In the world of business and inventory management, efficient inventory management is very important. If a company does not have inventory, it is impossible to fulfill consumer desires. Managing inventory requires careful inventory management and good data analysis. Challenges in inventory involve unpredictable fluctuations in demand, making it difficult to determine optimal inventory levels. Product diversification with various characteristics is also an obstacle, hindering grouping and formulating inventory management strategies. The lack of clear product segmentation adds to the inhibiting factor, making it difficult to identify groups of similar goods. Inefficient stockpiling can be detrimental to the business as a whole, so implementing clustering is necessary to optimize inventory strategies based on product characteristics. By analyzing product groups, companies can develop more efficient and effective inventory management strategies. This research uses a clustering method using the elbow method and DBSCAN (Density-Based Spatial Clustering of Applications with Noise). The elbow method is used to determine the most optimal EPS and Minpts values. The aim of this research is to group goods inventory data using the attributes Initial quantity (initial stock), quantity sold (stock sold), and quantity available (available product stock). So that grouped data can make it easier for companies to optimize the inventory of the most sold goods. and fans. Based on the elbow and DBSCAN test results, 144 clusters and 0 noise data were obtained, with cluster 2 being the product with the largest number of sales and inventory. The DBSCAN method which was tested without using elbows obtained cluster 3 results and 959 noise data.
Klasifikasi Sentimen Komentar Youtube Tentang Pembatalan Indonesia Sebagai Tuan Rumah Piala Dunia U-20 Menggunakan Algoritma Naïve Bayes Classifer
Authors: Hasibuan Ilham Habibi , Budianita Elvia , Agustian Surya , Pizaini Pizaini
Published: July 2024

Text mining is a method used to perform tasks such as document classification, clustering, information extraction, sentiment analysis, and information retrieval. The Federation Internationale Football Association (FIFA), the international football governing body, has designated Indonesia as the host country for the U-20 World Cup starting in 2019. Indonesia is expected to be the choice venue for the U-20 World Cup in 2021. However, due to the Covid outbreak -19, the World Cup was rescheduled and is now scheduled to take place in 2023. Indonesia officially relinquished its position as host on March 31 2023. One of the reasons is the many factions that oppose the presence of the Israeli national team in Indonesia. As a result, various public reactions responded to Indonesia's decision to cancel holding the U-20 World Cup, especially on the Narasi tv YouTube channel video entitled "The U-20 World Cup Failed to Be Held in Indonesia, Let's Look at it from Two Perspectives | Discussion". Since the video was uploaded until August 16 2023, the total comments generated were 4,629 comments. This research uses a Naïve Bayes classifier approach. Naïve Bayes Classifier (NBC) is a direct probabilistic classifier that exploits Bayes' Theorem under strong independence conditions. The tests carried out show that the model performance when using stopword removal and stemming techniques is superior in classifying classes in the dataset. The F1-Score is 59.70% and the Accuracy value is 63.43%. Furthermore, after identifying the most efficient model for applying naïve Bayes classification, evaluation was carried out on validation data resulting in an F1-Score of 58.72% and an accuracy rate of 61.65%. Classification analysis shows that Indonesian people have a negative view or are disappointed with the cancellation
Deteksi Lesi Pra-Kanker Serviks Pada Citra Kolposkopi Menggunakan Convolutional Neural Network dengan Arsitektur YOLOv7
Authors: Nurqolbiah Fatihani , Nurmaini Siti , Saputra Tommy
Published: July 2024

Pre-cancerous cervical lesions detection is crucial in the diagnosis and analysis of medical images. Because visual observations are weak, computer-based detection is needed. This research proposes a pre-cancerous cervical lesion detection model using a Convolutional Neural Network with the YOLOv7 architecture, capable of accurately detecting these lesions. The data used was 913 colposcopy image data from 200 cases. The dataset is divided into training and testing data, resulting in a detection model for pre-cancerous cervical lesions. The model achieves an mAP of 91.9%, precision of 87.7%, recall of 96%, and an F1-score of 93%. The study demonstrates that the performance of YOLOv7 indicates the model's ability to accurately detect pre-cancerous lesions in the cervix.
Analisis Sentimen Perbedaan Pendapat Netizen Indonesia Terhadap Penutupan Tiktok Shop Menggunakan Algoritma Naïve Bayes
Authors: Kurnianto Eko , Febriawan Dimas
Published: July 2024

This research uses the Naïve Bayes algorithm to analyze the sentiments of Indonesian netizens regarding the closure of the TikTok Shop. This research focuses on analyzing differences of opinion spread on social media platforms. Data obtained from social media such as Youtube, Tiktok, and Threads. There is data that will later be used in this research with a total of 1366 data. Then, there were 987 positive data and 379 negative data. After conducting research, results will be obtained with an accuracy of 86.97% in the first experiment which does not use the Split Data operator, and an accuracy of 89.23% in the second experiment which uses the Split Data operator. Then the results of this analysis reveal significant variations in sentiment among Indonesian netizens regarding the closure of the TikTok Shop. Some groups of netizens may express disappointment or disapproval while others may show support for the decision. The analysis also identified key factors influencing dissent, such as user experience, expectations of the platform and economic impact. Due to this, this research contributes to the field of sentiment analysis and natural language processing which applies splitting procedures so that netizen comment data on the platform can be classified.