bluuebunny/crossref_metadata_2025 huggingface dataset:
Game Edukasi Visual Novel Bermain Pantun dan Peribahasa Menggunakan Ren'py Berbasis Python
Authors: Purbiyanti Orita Dwi , Daruyani Sepitri , Irawaty Irawaty , Irawan Adellia N. Adyna Putri
Published: October 2023

In the digital era, technological developments, especially games, are very promising to learn. This can be used as an interactive learning tool for every game fan. Learning media using games can be an alternative for elementary school students to get to know rhymes and proverbs easily and fun. An interactive program that can arouse students' interest in knowing rhymes and proverbs is needed to eliminate boredom when studying them. The researcher uses the SDLC method to create a visual novel game application to play rhymes and proverbs with Python-based Ren'py. Learning to play rhymes and proverbs through visual novels is done by choosing from different problems from the novel's plot. The results obtained in making this game is an interactive novel game by displaying each dialogue which can then be answered by the user and the selected dialogue can determine the flow of the game.
Penerapan Algoritma C4.5 Untuk Analisa Tingkat Keberhasilan Mahasiswa Dalam Pembelajaran Praktikum di Masa Pandemi
Authors: Hartama Dedy , Sianipar Kristin Daya Rohani
Published: October 2023

Practical learning is a method of learning in which students conduct experiments directly by applying the theories they have learned and proving what they have learned in order to better understand what they have learned. The success rate of students towards practical learning is one of the factors that can improve the quality of higher education and can facilitate lecture activities. To analyze the success rate of students towards practicum learning, they can use the C4.5 algorithm by looking at the highest gain. The C4.5 algorithm is one of the algorithms in data mining whose results are identical to the decision tree. Several parameters used for this research are motivation factor, learning method factor, learning material factor, and facility factor. This research was conducted with the aim of helping universities determine the level of student success in practicum learning using the C4.5 algorithm as much as 200 data. The results of the study showed an accuracy of 82.00% with the facility factor being the highest factor. So that the results obtained can help the campus in improving the learning process.
Pengembangan Aplikasi Monitoring Anak Berkebutuhan Khusus di Sekolah Luar Biasa Menggunakan Metode User Centered Design (UCD)
Authors: Adhitama Rifki , Wardhana Ariq Cahya , Pasfica Gracia Rizka , Pasaribu Yolanda Al Hidayah
Published: October 2023

Special School B (SLB B) Yakut Purwokerto is an extraordinary school that focuses on handling Deaf Children with Special Needs (ABK) under the auspices of the Tama Business Welfare Foundation (YAKUT). In the process of monitoring student progress for guardians, SLB B Yakut Purwokerto still uses manuals and serves individual guardians. This is of course very ineffective and efficient. In addition, teachers also use social media in the form of WhatsApp to contact students' parents when students have finished learning activities at school. The development of technology is currently very rapid and it is appropriate for SLB B Yakut Purwokerto to develop monitoring activities using an effective and efficient system. Based on a review of several previous studies, User Centered Design (UCD) is an effective and most frequently used method to build an application. In understanding the user's cognition, character, and attitude, the design of the monitoring application for SLB B YAKUT Purwokerto students must focus on the user by applying the User Centered Design (UCD) method so that the application seems more interactive. The collection of user needs is carried out using three ways, including observation, interviews, and collecting the required documents. There are 5 stages that must be passed to implement the UCD method, plan the human-centered process, specifically the context of use, specify user and organizational requirements, product design solutions, and evaluate design against user requirements. The result of this research is that the design of the SoBat Yakut Monitoring System application design has been successfully completed to the prototype stage.
Sistem Pendukung Keputusan Untuk Menentukan Kelayakan Pemberian Bantuan Usaha Mikro dengan Menggunakan Metode SAW dan SMART
Authors: Putra Dandi , Triayudi Agung , Iskandar Agus
Published: October 2023

The purpose of this business capital assistance program is to help people develop businesses that were previously affected by the Covid-19 pandemic which caused small businesses such as street vendors and home businesses to experience a decrease in income. This program aims to help small and medium enterprises (MSMEs). Potential beneficiaries are currently still selected through meetings held by village heads, which require a longer decision-making process.Therefore it is very important to create a new system that can be used to assist those who are eligible to receive targeted funds. In this study, a decision support system application was made to make it easier for village heads to determine candidates who are entitled to receive assistance according to the criteria. A decision support system is a solution that can be used to find out the results of the selection of MSME beneficiaries using the SAW and SMART methods. The SAW and SMART methods use 10 alternative data to provide an assessment of the final result by ranking from the highest to the lowest alternative value, showing that the two methods produce data that is accurate and suitable when applied as a ranking. The calculation results generated by the system that has been tested with the results of manual calculations, both show the same results.
Penerapan Metode WASPAS dalam Pemilihan Handphone Gaming Terbaik
Authors: Alam Sitti Nur , Haipon Hendrikus , Ningtyas Septiana , Saludin Saludin , Kraugusteeliana Kraugusteeliana
Published: October 2023

The technology that people are most interested in is mobile phones. Apart from being a tool for exchanging information and as a means of communication, mobile phones are also used as entertainment tools such as playing games. The large number of HP brands confuses potential buyers in determining which HP brand is good. To help the public in choosing the best HP Gaming brand, this can be done by using the SPK. SPK is a system where the procedure for working is to use a computer working procedure. In using SPK, must use the method. In this study the method used was the WASPAS method. The WASPAS method is a method that uses 2 steps, where the first step is to calculate normalization by carrying out the division operation. By implementing the WASPAS method, a value of 2.9710 is obtained as an alternative to A2 as the best HP Gaming brand with the Infix Zero 20 brand.
Sistem Pendukung Keputusan Untuk Menentuan Desa Paling Maju dengan Menggunakan Metode MOORA
Authors: Mubaroq Rifqi Naufal Fajrul , Prasanti Evita Dwi , Br. Sihaloho Yuni Novita , Wijayanto Edoardus Dwijo , Fauzi Akhmad
Published: October 2023

Decision Support System (DSS) is an approach to support decision making using data, provides an easy interface, and can incorporate the thinking of decision makers. In this study, we take a case study that can be solved by using a decision support system, where the problem faced by the Government of the Sub-District of Sumbang is how to determine the most advanced village in the District of Sumbang, because to do a selection one must use the manual method and the assessment process takes a long time to get. results. Therefore, a decision support system is made that can assist the assessment process and where the decision support system is carried out using the moora method. Based on the results of calculations regarding research in determining the most advanced village in the Contributing Regency is the Contributing Village with a value of 0.3758. Where the village has very good road conditions and the facilities available in the village are also very good compared to other villages.
Rancang dan Bangun Sistem Pembersih Permukaan Panel Surya Otomatis dengan Sistem Elektromekanis Cerdas
Authors: Triyanto Aripin , Kusnadi Heri
Published: October 2023

The influence of weather changes on the cleanliness of solar panel surfaces is a problem that must be faced at this time. One of the factors that can affect the output value of roof photovoltaic efficiency is the level of dust density found on the photovoltaic surface. Solutions that can be used as a panel surface cleaner can use an automatic cleaning system to overcome the amount of dust on the photovoltaic surface. The method used in this study uses the Arduino Amega328p component, GP2Y1010AU0F sensor, Arduino drive, and real-time testing. There is a dust sensor and a voltage sensor to determine the amount of dust density on the photovoltaic surface, while the voltage sensor can be used as a reader of the voltage output on the photovoltaic. This research aims to help humans work in cleaning rooftop solar panels and create a system for detecting the thickness of dust and dust cleaners to increase the efficiency value of solar panels from solar radiation absorbed on the surface. The results of the PWM research with a duty cycle of 100% Vout 11.72 Volts, Dust Density of 0.54 mg/m3 produce analog data of 3.75 Volts and an ADC value of 767. Meanwhile, an analog sensor value is obtained for a dust density of 0.41 mg/m3d. of 3.02 Volts, logic 1 and the cleaning actuator ON position. Surface conditions and abnormal conditions are dusty at 0.54 mg/m3 for photovoltaic sensors at 9.13. The resulting efficiency when the photovoltaic surface is clean is 55%-80%.
Implementasi Algoritma Brute Force Pada Sistem Pertanahan di Balai Desa
Authors: Rahayu Ajeng Tri , Hanafi Mukhtar , Maimunah Maimunah
Published: October 2023

Development epoch in era globalization like current information systems utilizing computer technology which is very sophisticated and modern will facilitate data processing which can save time and cost. Result information obtained will facilitate data processing which can save or agencies that utilize artificial intelligence humans or is often called artificial intelligence (AI). Processing data and information fast and efficiently are important things which are needed by an agency, one is office hall village. Processing or archiving books C or Letter C this village still uses manual methods with recording or writing data at books archives villages and views reworked sequence number parcel book C or Letter C previous:  to record   numbers on owners of old land and owner new land. The way is certainly not efficient because it will require a lot of books and take a lot of time to record data on ownership of land. Objective of this study i.e.  implement algorithm brute force to facilitate the search owners land previous on archive electronic. Method development on a system which is used in research is a brute force algorithm in searching for land data, string matching is a part of the string search process.  The resulting land data is very dependent on the technique or algorithm carried out in matching the string. In this study, the algorithm used in string matching is brute force. This algorithm performs matching strings with shifts one by one patterns and adjusts them to text so that between Pattern and Text have patterns which are equal. Results analysis of studies This is in the form of trials trial matching strings-with algorithms brute force with studies case using search or search engine with programming language PHP to matching strings.
Sistem Pendukung Keputusan Penerima Beasiswa Murid Berprestasi dengan Metode SAW
Authors: Wahyuni Nuorma , Setyaningsih Erlin , Hermawansyah Adi , Canta Dila Seltika , Kinanti Dilla Putri , Surmiati Surmiati , Sudarman Sudarman
Published: October 2023

This research is a Decision Making System research which purposes to find out the scholarship recipient candidate of the feat student through of the SAW (Simple Additive Weighting) method of the MTsN 1 Penajam Paser Utara. The purpose of this research is to provide of the  convenience in the alternative solution in the  determining scholarship of the feat student, and to apply of the SAW method in assessing of the scholarship recipient candidate . The  Data collection techniques in this research were observation, interview, and literature study. The method is used The SAW. Then it requires the decision maker to determine the level  for each the attribute, then the total of score for  the alternative is obtained by adding up all the multiplication results between the rating (which can be compared across attributes) and the level of each attribute. The rating for each attribute must be dimension-free in the sense that it has gone through the previous of the normalization process. The basic concept is to find the total leveling of the performance rating for each alternative across all the criterias. The SAW method requires normalization of the decision matrix (X) to scale that can be compared with the existing rating. The sample population taken is from 60 students of MTsN 1 Penajam Paser Utara. From the result of determining the priority of proposed the feat scholarship recipient candidate is using the Simple Additive Weighting method, the student who deserves the best achievement scholarship is M. Indra Saputra who has the highest ranking with a score of 0.916 as the best alternative. The system built can help of the selector team to work in selecting outstanding scholarships and can speed up the selection process and reduce error in determining scholarship recipient.
Sistem Pakar Dalam Mendiagnosa Penyakit Tubercolosis dengan mengimplementasikan Metode Case Based Reasoning
Authors: Wijayanti Aris , Arifah Fatimah Nur , Putri Desfita Eka , Satriyanto Muhammad Dwi , Sallu Sulfikar
Published: October 2023

Health is one of the most valuable parts of human life. So healthy is the goal of every human being. Many things cause the decline in human health, such as hereditary genes, sensitive immunity and exposure to viruses or bacteria. One of the diseases caused by bacteria is tuberculosis (TB). Tuberculosis is a disease caused by exposure to a bacterium called Mycobacterium tuberculosis. There are two types of tuberculosis, namely pulmonary tuberculosis and extra pulmonary tuberculosis. Pulmonary tuberculosis can be defined as a disease that attacks the lungs and affects the lung parenchyma [4]. It's just that this type of disease does not attack other organs. While extrapulmonary tuberculosis is a tuberculosis disease in which this type of disease can attack other related organs such as the hilum, pleura and various other organs. the lack of funds for health checks makes it too late for many people to get treatment. Therefore, the development of technology should be utilized in handling this problem. One of the technologies that can be used in dealing with these problems is to use an expert system. An expert system is a system that is developed using the development of the knowledge that is owned by many experts and is used as a reference in developing the technology. In using an expert system, a method is needed that can help solve existing problems, therefore in this study the method used is the Case-Based Reasoning (CBR) method. The Case-Based Reasoning (CBR) method is the most suitable method for use in this study because the main function of this method is to diagnose disease. Based on the results of the calculation process using the Case-Based Reasoning method for each type of TB disease, the results obtained are for pulmonary tuberculosis to obtain a value of 85%, while for tuberculosis with extra pulmonary tuberculosis it is 62%. So based on the results obtained in this study it was determined that the sample was diagnosed with pulmonary tuberculosis. With a similarity of 85%.
Expert System Hama dan Penyakit Tanaman Bawang Merah dengan Certainty Factor
Authors: Gusmaliza Debi , Arif Alfis
Published: October 2023

This study aims to produce an expert system using the Certainty Factor (CF) Method for Diagnosing Pests and Diseases on Shallot Plants. The background of this research is to obtain information about pests and diseases. Expert System or expert system of Shallot Pests and Diseases with Certainty Factor is an expert system developed to identify pests and diseases in shallot plants. The development method used in the development of this system is the waterfall method. In the early stages of development, a needs analysis is carried out with the aim of understanding the requirements of the expert system, including the types of pests and diseases that must be identified, the associated symptoms, and the required expert knowledge. Furthermore, system design is carried out to design the system architecture and rule structure as well as the Certainty Factor weights that will be used in the diagnosis. In applying the certainty factor method, it gets a value of 46% for armyworm pests. After the design is complete, the implementation phase begins. At this stage, the expert system is designed and coded based on the designs that have been made before. The required modules, such as the inference module and the knowledge base module, are developed according to predetermined specifications. After the implementation is complete, the testing phase is carried out. using the black-box testing technique, with a score of 4.0 from the expert and 3.7 from the implementation of the beta user graph with a valid category. This test aims to ensure that the system provides an accurate diagnosis according to the symptoms observed in shallot plants.
Algoritma Stemming Teks Bahasa Batak Angkola Berbasis Aturan Tata Bahasa
Authors: Hrp Nur Hasanah , Fikry Muhammad , Yusra Yusra
Published: October 2023

The Angkola Batak language is a variety of Batak languages, to be precise in the southern Tapanuli area, which is still used and maintained as an everyday language. Until now, the resources of the Angkola Batak language are not yet available in digital form that can be used by researchers in the analytical stages of human natural language processing. Natural language processing (NLP Taks) for the Angkola Batak language must follow the stages of text processing starting from tokenization, lexical analysis, syntax, semantics, and phragmatics. This study conducted natural language processing in the first stage, namely lexical analysis. At the lexical analysis stage, one of the most important NLP tasks is stemming. Stemming is the process of determining root words from affixed words. In this research, an analysis and design of the Angkola Batak stemming algorithm have been carried out based on grammar rules. The stages in this research are starting from collecting the grammar rules of the Angkola Batak language, collecting basic words in the Angkola Batak language as a database dictionary, and removing affixes from root words. The output of this research is the stemmer of the Angkola Batak language in the form of PHP. Based on tests conducted on 450 words originating from the Batak Angkola folklore, 448 test words were correct (99.56%) and 2 test words were wrong (0.44%). The wrong test word is obtained because the root word is not found in the dictionary.
Sistem Pendukung Keputusan dalam Rekomendasi Penentuan Prioritas Program Pembangunan Daerah menerapkan Simple Additive Weighting
Authors: Iskandar Agus
Published: October 2023

The government and institutions in an area have developed a program known as the RKPD (Regional Development Work Plan), which is an elaboration of the RPJMD (Regional Medium Term Development Plan). However, the Medan City Regional Development Planning Agency faces several problems in the development stage in the regions, including consideration of priority scales and elements of justice as well as a lack of a decision support system to determine development priority scales. Therefore, the Agency needs an appropriate system to determine development priorities, and one of the systems that can help solve this problem is the Decision Support System (SPK). The method used is SAW which was chosen because it is expected to provide effective results in determining the priority of regional development programs at the Medan City Regional Development Planning Agency. The research resulted that the regional highway development program with a value of 0.77705 has the highest priority to be prioritized for regional development programs at the Medan City Regional Development Planning Agency, because it has the highest ranking when compared to other alternatives.
Komparasi Metode Weighted Product (WP) Dan Simple Additive Weighting (SAW) Pada Sistem Pendukung Keputusan Dalam Menentukan Pembangunan Infrastruktur Kelurahan
Authors: Hariski Flipo , Triayudi Agung , Soepriyono Gatot
Published: October 2023

The goverment gives urban villages more power includes urban village development. In accordance with local village goverment policies, there are specific criteria for allocating funds for village infrastructure development. The aim is to make the development of urban village infrastructure more equitable and targeted. Priorities for urban village infrastructure development must be decided. Decisions on urban infrastructure development are still made by voting and voting and often more significant developments have to be postponed due to losing votes. To prioritizes urban infrastructure development, urban village officials can use decision support system. Prioritization of urban village infrastructure development is determined using Simple Additive Weight (SAW) and Product weightn(WP) methodologies. Each proposal will be assessed according to the criteria chosen by the Kelurahan to determine development priorities. It is expected that the decision support system will be easier, more accurate, and faster in determining development priorities in Rangkapan jaya urban village. Comparison of SAW and WP methods using 10 alternative data, shows that both methods get accurate data and are suitable when applied as ranking of infrastructure development.
Sistem Pendukung Keputusan Menentukan Aplikasi Chat Terbaik Menggunakan Metode OCRA Dengan Pembobotan ROC
Authors: Ardinsah Ardinsah , Mesran Mesran , Triayudi Agung
Published: October 2023

In this study, a study was conducted to determine the Best Chat Application, the more we enter the digital era, the more applications and communication media or sending messages that appear. So researchers want to do research to determine which chat application is the best that people can use and unfortunately it is suitable for use today, then a system is applied that can help to decide, namely a Decision Support System (DSS) which can simplify the process of selecting the Best Chat Application by implementing 5 criteria i.e. Security, Number of Downloads, Reviews, Features, Storage. So we need a system that can make decisions by using SPK that applies the ROC and Operational Comprtitiveness Rating Analysis(OCRA) methods in getting the weighting value for each criterion and preference value from the best alternative, namely alternative A¬1 with the name Whatsapp Application with a preference value of 128,3123
Analisis Kepuasan Pengguna Menggunakan Metode EUCS Pada Sistem Computer Based Test di Institusi Pendidikan
Authors: Agus Ariwanta I Putu Yesha , Eka Saputra I Gede Tiar , Apriyanthi Ni Putu Eka , Gunawan I Made Agus Oka , Indrawan Gede
Published: October 2023

Penerapan sistem ujian online, atau Computer Based Test (CBT), telah menjadi bagian penting dari pendidikan tinggi di bidang kesehatan, termasuk di Poltekkes Kartini Bali, salah satu perguruan tinggi di Bali. Poltekkes Kartini Bali berkomitmen untuk mengikuti perkembangan teknologi dengan menyediakan sistem ujian online yang dapat diakses oleh para mahasiswa melalui laman web web www.cbt.politeknikkesehatankartinibali.ac.id. Situs ini menyediakan bank soal untuk mahasiswa serta informasi mengenai pencapaian nilai ujian akhir setiap matakuliah. Evaluasi kepuasan pengguna terhadap sistem ini menjadi hal yang penting untuk memastikan efektivitas dan kualitas layanan yang diberikan. Penelitian ini bertujuan untuk menganalisis kepuasan pengguna terhadap sistem ujian online dengan menggunakan metode End User Computing Satisfaction (EUCS) di Poltekkes Kartini Bali. Penelitian ini menggunakan pendekatan kuantitatif dan melibatkan partisipasi mahasiswa dari berbagai program studi di Poltekkes Kartini Bali. Penelitian ini difokuskan pada variabel konten, variabel ketepatan, variabel bentuk, variabel kemudahan penggunaan, dan variabel ketepatan waktu. Setelah pengumpulan data dan analisis dilakukan, diperoleh hasil perhitungan rata-rata tingkat kepuasan. Hasilnya menunjukkan bahwa nilai rata-rata kepuasan pengguna adalah 4.22 untuk variabel content, 4.17 untuk variabel accuracy, 4.29 untuk variabel format, 4.22 untuk variabel timeliness, dan 4.23 untuk variabel ease of use. Mengacu pada teori Kaplan dan Norton, semua variabel menunjukkan bahwa tingkat kepuasan pengguna terhadap Computer Based Test (CBT) di Poltekkes Kartini Bali termasuk dalam kategori "puas".
Klasifikasi Buah Pinang Berdasarkan Data Sensor Menggunakan Metode K-Nearest Neighbor Berbasis Web
Authors: Febrinamas Dea Rizki , Hidayati Rahmi , Nirmala Irma
Published: October 2023

Buah Pinang merupakan salah satu jenis buah yang banyak diekspor dan memiliki manfaat dalam bidang kecantikan, pewarna makanan serta sebagai bahan baku untuk industri tekstil. Proses klasifikasi buah pinang secara manual membutuhkan waktu dan tenaga yang banyak. Sehingga untuk membantu mempercepat dan mempermudah proses klasifikasi buah pinang dibutuhkan sistem klasifikasi yang dapat mengenali buah pinang berdasarkan warna dalam berbagai tingkat kematangan buah yaitu mentah, matang dan tua. Penelitian ini menggunakan metode K-Nearest Neighbor (K-NN) untuk proses klasifikasi buah pinang. Data yang digunakan sebanyak 600 data yang diperoleh dari sensor, terdiri dari 200 buah pinang mentah, 200 buah pinang matang, dan 200 buah pinang tua. Parameter yang digunakan yaitu mentah, matang dan tua dengan rentang nilai Red, Green, Blue (RGB) yang berbeda setiap kondisinya. Pengujian menggunakan nilai ketetanggaan (K) yaitu 5, 7, 9 dan 11 dan diperoleh nilai ketetanggaan (K) terbaik adalah K = 7. Hasil pengujian dilakukan menggunakan confusion matrix didapatkan nilai accuracy sebesar 98,33%, recall sebesar 97,24%, dan precision sebesar 100%.
Integrasi Mesin Absensi dan Pusher Notification pada Sistem Informasi Akademik Sekolah Untuk Monitoring Absensi Real-Time
Authors: Juansen Monsya , Simatupang Septian
Published: October 2023

Integrasi mesin absensi dan pusher notification dalam sistem informasi akademik sekolah untuk pemantauan kehadiran secara real-time merupakan aspek penting dari manajemen sekolah yang efisien. Penelitian ini bertujuan untuk mengintegrasikan mesin absensi dan pusher notifikasi ke dalam sistem informasi akademik sekolah untuk pemantauan kehadiran secara realtime. Sistem ini memberi sekolah kemampuan untuk memantau kehadiran siswa dengan cepat dan efisien serta menyampaikan pemberitahuan real-time kepada pemangku kepentingan terkait. Kajian diawali dengan analisis menyeluruh terhadap persyaratan dan tantangan yang dihadapi sekolah dalam memantau kehadiran secara real-time. Tinjauan komprehensif literatur yang ada dilakukan untuk memahami konsep mesin absensi, notifikasi pusher, dan integrasi sistem. Berdasarkan temuan, desain sistem diusulkan, dengan mempertimbangkan arsitektur, antarmuka pengguna, dan alur kerja sistem terintegrasi. Mesin absensi terhubung ke sistem informasi akademik melalui protokol komunikasi yang sesuai, memastikan transfer dan sinkronisasi data tanpa hambatan. Fitur pusher notification diintegrasikan ke dalam sistem untuk mengirimkan notifikasi kehadiran secara real-time kepada pemangku kepentingan terkait, termasuk administrator, guru, dan orang tua. Ini memfasilitasi tindakan cepat dan pengambilan keputusan berdasarkan informasi kehadiran. Untuk menilai keefektifan solusi terintegrasi, serangkaian pengujian dan evaluasi dilakukan. Ini termasuk skenario seperti check-in siswa, check-out, dan pembaruan catatan kehadiran. Kinerja, keandalan, dan kepuasan pengguna dari sistem terintegrasi dievaluasi. Hasil penelitian menunjukkan manfaat pengintegrasian mesin absensi dan notifikasi pusher ke dalam sistem informasi akademik. Pemantauan kehadiran secara real-time meningkatkan efisiensi administrasi, meningkatkan akuntabilitas siswa, dan mendorong komunikasi yang efektif antara sekolah dan pemangku kepentingan. Penelitian ini berkontribusi pada pengetahuan tentang integrasi sistem kehadiran dan pemberitahuan pusher di lingkungan sekolah. Temuan ini dapat memandu lembaga pendidikan dalam mengadopsi solusi serupa untuk meningkatkan manajemen kehadiran dan operasional sekolah secara keseluruhan.
Penerapan Metode CART Dalam Klasifikasi Jurusan Siswa Baru
Authors: Hairunnisa Destia Arini , Suhery Cucu , Hidayati Rahmi
Published: October 2023

SMK Negeri 3 Pontianak is one of the vocational education schools in Pontianak City. Every new academic year SMK Negeri 3 Pontianak accepts around 320 new students. The large number of prospective new students makes the majoring process carried out by the school become less effective and takes a long time to determine majors for new students. With a system that can classify new student majors, it helps in the process of determining student majors. This study uses the Classification and Regression Trees (CART) algorithm for the classification process in determining majors for new students. The assessment indicators used for classification consist of interest, MTK (US) school exam scores, school exam IPA scores, school exam Indonesian language scores, math report cards, science report cards, social science report cards, Indonesian language report cards, and English report cards. Classification of majors at SMK 3 Pontianak consists of accounting, office, marketing, and hospitality majors. The amount of data used is 320 data which is divided into 224 training data and 96 test data. The CART algorithm generates decision trees, rules, and new student majors that have been classified. Based on the test results using the confusion matrix, the system accuracy results are 84.38%.
Penerapan Algoritma Mean-Shift Pada Clustering Penerimaan Bantuan Pangan Non Tunai
Authors: Rizuan Rizuan , Haerani Elin , Jasril Jasril , Oktavia Lola
Published: October 2023

Kemiskinan merupakan kondisi individu atau sekumpulan individu yang tidak memiliki akses ke sumber daya yang memadai untuk memenuhi kebutuhan dasar serta menjalani kehidupan yang baik. Tujuan bantuan pangan non tunai adalah untuk memberikan bantuan pangan kepada yang membutuhkannya melalui metode non tunai, seperti kartu debit atau kartu elektronik. Penelitian ini bertujuan menemukan pola karakteristik calon penerima Bantuan Pangan Non Tunai (BPNT) berdasarkan kriteria dari Dinas Sosial Kota Pekanbaru. Berdasarkan hasil pengujian menggunakan Silhouette Score didapatkan kluster terbaik adalah 2 kluster dengan bandwidth 285 dan Silhouette Score 0.95 klaster 1 memiliki 680 data, dan klaster 2 memiliki 2 data. Hasil claster 1 memiliki pola status penguasaan tempat tinggal berstatus bebas sewa dan kontrak/sewa, untuk jenis lantai terluas adalah batu merah/ sementara, jenis adalah dinding plasteran dan jenis air konsumsi dari leding meteran. Sedangkan hasil cluster 2 memiliki pola penguasaan tempat tinggal  berstatus milik sendiri, untuk jenis lantai adalah keramik, jenis dinding adalah tembok dan konsumsi air dari sumur bor pompa.
Implementasi Algoritma K-Nearest Neighbor Untuk Menentukan Klasifikasi Kelulusan Mahasiswa Teknik Informatika
Authors: Andriani Suswantia , Nazir Alwis , Candra Reski Mai , Syafria Fadhilah , Afrianty Iis
Published: October 2023

Kinerja sebuah universitas dapat dinilai semakin baik jika terdapat peningkatan jumlah mahasiswa yang berhasil menyelesaikan masa studinya tepat waktu. Perguruan tinggi harus meningkatkan kualitas akademik mahasiswa dalam proses perkuliahan untuk hasil yang optimal. Namun kenyataannya banyak keterlambatan kelulusan mahasiswa pada Universitas Islam Negri Sultan Syaif Kasim Riau terkhusus jurusan Teknik Informatika ini yang menjadi permasalahan. Oleh karena itu dibutuhkannya sebuah analisa mengklasifikasi data kelulusan mahasiswa dengan memanfaatkan proses data mining. Penelitian ini menerapkan algoritma K-Nearest Neighbor (K-NN) pada proses klasifikasi. Tujuan penelitian ini adalah hasil dari klasifikasi kelulusan ini diharapkan dapat memberikan kontribusi bagi pihak fakultas teknik dan universitas dalam melakukan evaluasi dan perbaikan terhadap sistem pembelajaran, sehingga menghasilkan lulusan tepat waktu dan berkualitas. Data yang digunakan pada penelitian ini sebanyak 613 data 5 tahun terakhir dari tahun 2016 hingga 2020 dengan pembagian data dengan rasio 80 data untuk pelatihan (training) dan 20 data untuk pengujian (testing). Hasil evaluasi confusion matrix dari K = 3, K = 5, K = 7 menghasilkan akurasi tertinggi diperoleh ketika K = 3 dengan akurasi 93,06%, presisi 99,09%, dan recall 99,58%. Dari hasil penelitian, dapat ditarik kesimpulan bahwa penerapan data mining berhasil menciptakan model klasifikasi dengan memanfaatkan algoritma K-Nearest Neighbor (K-NN) dalam mengklasifikasikan status kelulusan mahasiswa pada program sudi Teknik Informatika di Universitas Islam Negeri Sultan Syarif Kasim Riau
Optimalisasi Keamanan Rumah dengan Implementasi Sistem Notifikasi Gerbang Cerdas Berbasis Internet of Things (IoT)
Authors: Dewi Ika Parma , Fikri Ryan
Published: October 2023

Penelitian ini bertujuan untuk mengimplementasikan sistem keamanan rumah pintar berbasis Internet of Things (IoT) guna meningkatkan efektivitas perlindungan hunian. Masalah utama dalam penelitian ini adalah mencapai sinkronisasi yang efektif antara perangkat smartphone Android sebagai antarmuka pengontrol dan mikrokontroler ESP8266 sebagai pusat pengendalian pintu gerbang melalui protokol MQTT. Proses optimalisasi dilakukan dengan melakukan pengiriman instruksi ke mikrokontroler ESP8266 yang dilaksanakan melalui protokol Message Queuing Telemetry Transport (MQTT). Sistem gerbang pintar yang dikembangkan merupakan solusi inovatif yang bertujuan untuk meningkatkan keamanan hunian. Dalam penelitian ini, dikembangkan sistem gerbang pintar yang menggunakan antarmuka kontrol Android yang terbagi menjadi tiga komponen utama. Komponen pertama adalah unit power supply yang menyediakan tegangan 12 volt, yang diperoleh dari adaptor guna menjaga stabilitas operasional sistem. Komponen kedua berperan sebagai bagian input, mengintegrasikan sensor magnet untuk mendeteksi pergerakan gerbang secara akurat. Sedangkan komponen ketiga adalah bagian output yang mencakup LED dan buzzer sebagai sarana notifikasi visual dan auditif, memberitahukan pengguna mengenai status gerbang. Di samping itu, sistem ini juga memiliki kapabilitas untuk mengirimkan pemberitahuan melalui aplikasi Telegram, memungkinkan pengguna mendapatkan informasi real-time mengenai kondisi gerbang dari jarak jauh. Uji coba dilakukan selama periode 10 hari guna mengevaluasi kelayakan sistem pada gerbang rumah sebagai lokasi penelitian. Hasil dari penelitian ini menunjukkan bahwa sistem gerbang cerdas berbasis IoT yang dikembangkan berhasil meningkatkan keamanan rumah secara efektif. Dengan integrasi notifikasi visual, suara, dan pesan melalui aplikasi Telegram, pengguna dapat memantau status gerbang dari jarak jauh dengan akurat dan real-time. Penelitian ini memberikan kontribusi penting dalam pengembangan teknologi keamanan rumah cerdas berbasis IoT, membuka peluang untuk penerapan yang lebih luas dalam skala yang lebih besar. Penelitian ini memberikan kontribusi signifikan dalam pengembangan sistem keamanan rumah pintar berbasis IoT, membuka peluang luas untuk penerapan teknologi serupa dalam skala yang lebih besar di masa mendatang
Seleksi Penerimaan Customer Service Dalam Sistem Pendukung Keputusan Dengan Menerapkan Metode OCRA
Authors: Sachrrial Rifqi Habibi , Iskandar Agus
Published: October 2023

Penelitian ini membahas tentang seleksi penerimaan Customer Service (CS) menggunakan Sistem Pendukung Keputusan (SPK) dengan menerapkan metode OCRA (Optimized Cost-Risk Analysis). Tujuan dari penelitian ini adalah untuk memperbaiki efisiensi dan efektivitas proses seleksi penerimaan CS, sehingga perusahaan dapat merekrut individu yang paling sesuai untuk peran tersebut. Metode OCRA digunakan sebagai pendekatan dalam penelitian ini karena dapat mengatasi beberapa tantangan dalam seleksi penerimaan CS, seperti mengevaluasi kualifikasi dan kemampuan kandidat, serta meminimalkan risiko pemilihan individu yang tidak tepat. Penelitian ini menggunakan data historis dari CS yang sudah terbukti berhasil dalam pekerjaan mereka sebagai basis pembuatan model OCRA. Langkah-langkah penelitian meliputi pengumpulan data kualifikasi dan kinerja CS yang saat ini berada di dalam perusahaan, kemudian data ini digunakan untuk melatih dan menguji model OCRA. Model OCRA akan menggabungkan beberapa faktor, termasuk keahlian komunikasi, pengetahuan produk, perilaku dalam menangani pelanggan, dan karakteristik personal lainnya yang relevan untuk pekerjaan CS. Hasil dari penelitian ini diharapkan dapat memberikan kontribusi penting dalam proses seleksi penerimaan CS dengan cara mengidentifikasi kandidat terbaik yang memiliki potensi untuk mencapai keberhasilan dalam peran tersebut. Selain itu, penggunaan metode OCRA juga diharapkan dapat mengurangi risiko perekrutan CS yang kurang sesuai, sehingga dapat mengurangi biaya dan waktu yang diperlukan dalam proses rekrutmen ulang. Setelah dilakukan tahapan-tahapan perhitungan dengan menggunakan metode OCRA, maka didapatkan hasil tertinggi yaitu A6 dengan nilai 0.935 atas nama sindi cantika yang memiliki pengalaman kerja 2 tahun dan keterampilan komunikasi nya sangat baik.
Analisis Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) Terhadap Data Top 10 Best Value Hotel
Authors: Singgalen Yerik Afrianto
Published: October 2023

Labuan bajo sebagai destinasi wisata super prioritas memiliki daya tarik wisata alam, budaya, pantai dan bahari. Wisatawan mancanegara dan nusantara yang berkunjung ke destinasi wisata premium Labuan Bajo, dapat menggunakan layanan akomodasi dan amenitas hotel, hingga bisnis layanan akomodasi lainnya. Penelitian ini bertujuan untuk menerapkan metode Multi-Objective Optimization on the Basis of Ratio Analysis (MOORA) terhadap 10 best value hotel di Labuan Bajo, berdasarkan website Tripadvisor. Hasil penelitian ini menunjukkan bahwa wisatawan dapat memilih mengambil keputusan menginap di top 10 best value hotel Labuan Bajo dengan mempertimbangkan ketersediaan ruangan dan amenitas hotel, maupun penilaian tamu yang memiliki pengalaman menginap di hotel tersebut. Berdasarkan hasil penerapan metode MOORA, hasil pengolahan data berdasarkan ketersediaan ruangan dan amenitas hotel menunjukakn bahwa Meruorah Komodo Labuan Bajo memiliki total nilai paling tinggi dengan jumlah 0,57 sehingga menempati urutan pertama, sedangkan Zasgo Hotel memiliki total nilai 0,49 sehingga menempati urutan kedua. Adapun, Ayana Komodor Resort, Waecicu Beach memiliki total nilai 0,38 sehingga menempati urutan ketiga. Adapun, berdasarkan penilaian tamu yang memiliki pengalaman menginap di top 10 best value hotel Labuan Bajo, dapat diketahui bahwa Zasgo Hotel memperoleh nilai sebesar 0,248 dan menempati urutan pertama. Selanjutnya, Parlezo Hotel memperoleh nilai sebesar 0,237 dan menempati urutan kedua. Meskipun demikian, Zasgo Hotel dan Parlezo Hotel tidak dapat direkomendasikan karena tidak memilik nilai pada kriteria value. Oleh sebab itu, Hotel yang direkomendasikan ialah Ayana Komodo Resort, Waecicu Beach dengan total nilai sebesar 0,157 serta Sudamala Resort, Seraya dengan total nilai 0,153. Dengan demikian, penerapan metode MOORA dapat menghasilkan rekomendasi yang sesuai dengan preferensi tamu hotel.
Implementasi Algoritma Klasifikasi Naïve Bayes Untuk Klasifikasi Credit Scoring Pada Platform Peer-To-Peer Lending
Authors: Damanik Joel Rayapoh , Fauzi Rahmat , Hamami Faqih
Published: October 2023

Di Indonesia, seiring dengan pertumbuhan fintetch mengenai P2P lending, juga timbul P2P lending ilegal yang beroperasi tanpa izin dari otoritas berwenang. Diperkirakan terdapat sekitar 400 perusahaan fintech ilegal yang beroperasi di Indonesia. Masalah umum yang dihadapi oleh platform P2P lending adalah ketidakmampuannya mengantisipasi pembayaran yang gagal oleh peminjam. Hal ini disebabkan oleh tingginya suku bunga yang diterapkan dan kurangnya seleksi terhadap peminjam dengan risiko kredit yang tinggi atau rendah. Untuk mengatasi masalah ini, diperlukan pengembangan model sistem Machine Learning yang dapat mengklasifikasikan data peminjam dan terintegrasi dengan informasi dari lembaga keuangan lainnya. Tujuannya adalah untuk menyaring calon peminjam dengan risiko kredit yang tinggi atau rendah. Salah satu model yang digunakan adalah algoritma Naïve Bayes Classifier. Metode ini berdasarkan teorema Bayes dan merupakan algoritma yang memproses klasifikasi sederhana dengan independensi variabel. Penggunaan algoritma Naïve Bayes Classifier diharapkan dapat menciptakan sistem yang membantu platform P2P lending dalam seleksi calon peminjam. Model ini akan memprediksi risiko kredit rendah atau tinggi bagi pengguna atau pelanggan P2P lending. Untuk mencapai performa klasifikasi optimal, dilakukan tuning hyperparameter pada setiap simulasi. Hyperparameter tuning adalah proses mencari nilai terbaik untuk parameter dalam model machine learning guna meningkatkan performa. Pada algoritma GaussianNB, parameter yang dituning adalah var_smoothing. Hasil tuning hyperparameter terbaik ditemukan dengan nilai var_smoothing sebesar 0.009638958856642498, dengan pembagian train_size dan test_size sebesar 70:30. Dengan konfigurasi ini, model mencapai tingkat akurasi sebesar 95%.
Penerapan Algoritma Gronsfeld Dengan Pembangkit Kunci Quicksort Untuk Mengamankan Pesan Rahasia
Authors: Syahputri Ria Ramadhani , Mesran Mesran , Murdani Murdani
Published: October 2023

The numerous issues often encountered in securing confidential messages revolve around message leaks. Message leaks occur through various means, such as eavesdropping. Eavesdropping happens when unauthorized parties manage to access and obtain information from ongoing communications. One way to maintain the confidentiality of secret messages is through encryption and decryption, known as cryptography, achieved by transforming the original message (plaintext) into a secret message (ciphertext). In this study, the results of the encrypted character ciphertext are v, v, w, ^, ™, ʽ, ¦, ¥, -, ¼, Ý, ó, ⁒, x, [], ", [], #, S, a, I, p, p. These findings can serve as an alternative solution to safeguard message confidentiality, ensuring only the message owner and those with knowledge of the key can access it. The Gronsfeld Cipher cryptographic method can also enhance the security of the Quicksort algorithm, a cryptographic algorithm, by generating a more randomized text message that does not reveal patterns connecting it to the original text message.
Analisis Dalam Pendukung Keputusan Seleksi Content Creator Mahasiswa Terbaik Menerapkan Metode EDAS dan ROC
Authors: Mesran Mesran , Indini Dwina Pri
Published: October 2023

One of the uses of technology is social media, which is an application that can convey information to many people. Around 49 percent of Indonesia's population are active users of social media because the use of social media as a means of promotion is considered easier and more efficient to get a wider target audience. In creating content on social media, a quality content creator is needed. The selection of student content creators at Budi Darma University in Medan is important to be able to get students who are creative and have the potential to become social media content creators. In selecting content creators, students at Budi Darma University have several predetermined criteria, namely the number of social media, the number of tiktok followers, the number of Instagram followers, content production per day, content creativity and content design updates. In the process of selecting student content creators, a system is needed that can speed up and simplify the process of selecting student content creators, namely the SPK (Decision Support System). In this study the EDAS (Evaluation Based on Distance from Average Solution) method and the Rank Oder Centroid (ROC) method used are expected to help the selection process for accepting student content creators. So the best alternative to become a student content creator lies in alternative A8 on behalf of Arsyillah with a score of 182001
INCIDENCIA DE LAS PASANTÍAS DE EXTENSIÓN SOCIAL COMUNITARIA EN LA FORMACIÓN PROFESIONAL EN UNICyT
Authors: Gamboa R. Monica , López de Ramos Aura L.
Published: October 2023

Este estudio profundiza en el curso Pasantía de Extensión Social Comunitaria (PESC) de la Universidad Internacional de Ciencia y Tecnología (UNICyT), situándolo en el contexto de la sostenibilidad multidimensional. Si bien la atención pública tiende a centrarse en cuestiones medioambientales, este trabajo resalta que la sostenibilidad abarca tres pilares esenciales: cuidado ambiental, crecimiento económico y progreso social. El curso PESC, basado en la metodología del Aprendizaje-Servicio (ApS) y la investigación-acción participativa, se erige como una herramienta poderosa para integrar conocimientos académicos con necesidades reales de la comunidad, fomentando una conciencia social sólida. Los proyectos de PESC en 2023 reflejan un compromiso genuino con los Objetivos de Desarrollo Sostenible (ODS) y muestran cómo los estudiantes aplican principios de sostenibilidad en la práctica. La satisfacción de los estudiantes con el curso resalta su valor en la formación profesional. En resumen, este estudio ilustra cómo la UNICyT equilibra los aspectos ambientales, económicos y sociales de la sostenibilidad, preparando a profesionales comprometidos con un desarrollo sostenible integral.
EL DESARROLLO SOCIOEMOCIONAL DEL NIÑO APROXIMACIÓN Y ABORDAJE EXPLICATIVO COMO FUENTE CURRICULAR
Authors: Pimentel de Arrocha Reynalda
Published: October 2023

En esta investigación, se realiza el abordaje de la Psicología del Niño, en la carrera Licenciatura en Educación Primaria de ISAE Universidad; gestándose un procedimiento de transferencia de conocimientos relacionados con el tópico desarrollo socioemocional; mediante dos acciones complementarias, a saber: un trabajo de campo de investigación; y la realización de la prestación del Servicio Social. La investigación es de naturaleza cualitativa, en la cual se interrelacionan un proceso metodológico del tema investigado, mediante la orientación del Facilitador-Docente; y la gestión investigativa en los escenarios escolares seleccionados para la ejecución de las actividades relacionadas con el tema, mediante los Grupos de Participantes. La experiencia investigada es de naturaleza fenomenológica, en virtud de orientar el objetivo de la investigación, en obtener de los escolares, en edades de 9 a 12 años, de una escuela rural de difícil acceso, en la provincia de Panamá Oeste, sus respuestas sobre el desarrollo socioemocional, mediante la administración tres escalas de medición referidas a la inhibición emocional, el afrontamiento y la desregulación emocionales. Los resultados obtenidos constituyeron la base de referencia para el desarrollo de las intervenciones planificadas por los Participantes en el Servicio Social. Y de forma prospectiva, triangular tres acciones: el quehacer de la docencia, la planificación curricular y la investigación de aula; constituyéndose así la referencia diagnóstica para las acciones previstas en la actualización de la carrera Licenciatura en Educación Primaria, y consecuentemente fundamentar la necesidad de fortalecer la educación socioemocional en otras asignaturas vinculadas a la formación inicial del docente.