Abstract:Abstract: Based on data from Dinas Pendidikan dan Kebudayaan Kota Magelang in July 2018, the highest number of teachers is in group of IV / a. One of the influencing factors is their reluctance to make scientific publications…
cations for the promotion. They do not have enough information about the journal to be addressed, do not yet understand what must be stated in a scientific article, systematics of writing, and how to make a bibliography. The online process is also one of the things they find difficult. The purpose of community service is to improve the ability of teachers to write scientific articles. Partners in this activity were 12 elementary and junior high school teachers in Dinas Pendidikan dan Kebudayaan Kota Magelang. The implementation time is 4 months consisting of 3 training sessions and following assistance. The material presented during the training included (1) scientific articles in the ranks of teachers, (2) reference managers, and (3) article submissions. The results of the training showed that all participants increasingly understood how to use scientific articles for promotion. In addition, 58% of participants are more aware and able to use the reference manager in Ms Office Word. In the third material, 67% of participants understood and were able to register and submit articles in the Paedagogie Journal.
Keywords: scientific articles, training, scientific publications, classroom action research
Abstrak: Berdasarkan data dari Dinas Pendidikan dan Kebudayaan Kota Magelang pada bulan Juli 2018, jumlah terbanyak guru berada pada golongan IV/a. Salah satu faktor yang mempengaruhi adalah keengganan mereka dalam membuat publikasi ilmiah untuk kenaikan pangkat. Mereka tidak memiliki informasi yang cukup mengenai jurnal yang akan dituju, belum memahami apa yang harus dituangkan dalam sebuah artikel ilmiah, sistematika penulisan, serta cara membuat daftar pustaka. Proses online juga menjadi salah satu hal yang mereka anggap sulit. Tujuan dari pengabdian masyarakat ini adalah meningkatkan kemampuan guru dalam menulis artikel ilmiah. Mitra dalam kegiatan ini adalah 12 orang guru SD dan SMP di lingkungan Dinas Pendidikan dan Kebudayan di Kota Magelang. Waktu pelaksanaan yakni 4 bulan terdiri dari 3 kali pelatihan dan ikuti pendampingan. Materi yang disampaikan pada saat pelatihan antara lain (1) artikel ilmiah dalam kepangkatan guru, (2) reference manager, dan (3) article submission. Hasil pelatihan menunjukkan bahwa seluruh peserta semakin memahami bagaimana memanfaatkan artikel ilmiah bagi pengajuan kenaikan pangkat. Selain itu, 58% peserta semakin paham dan mampu cara menggunakan reference manager pada Ms Office Word. Pada materi ke-3, sebanyak 67% peserta memahami dan mampu untuk registrasi dan submit artikel pada Jurnal Paedagogie.
Kata kunci: artikel ilmiah, pelatihan, publikasi ilmiah, penelitian tindakan kelas
Abstract:Abstract: Community service activities carried out at Muhammadiyah Salam Vocational School (SMK Muhammadiyah Salam), Salam Subdistrict, Magelang Regency so that the X grade (1st) students of Muhammadiyah Salam Vocational…
School can support computer creativity specifically for desktop applications for developing Software Engineering (RPL) skills. This service activity is carried out by using a method of mentoring for class X students through computer assistance / application programs such as database and desktop creation. The long-term goal is the preparation of class X students who have an interest in application software to participate in the Student Skills Competition (LKS) in the following period. This application software training at Muhammadiyah Vocational School does not have an RPL major, so students are selected to take part in this activity. The final output that will support this activity is student assistance in computer applications as a development aid for students in the field of programming / software engineering. In addition, the publication of the results of this service was in the community service journal
Keywords: Community Service, Software Engineering, Application Software, Programming
Abstrak: Kegiatan pengabdian masyarakat yang dilakukan di SMK Muhammadiyah Salam, Kecamatan Salam Kabupaten Magelang bertujuan agar para siswa kelas X SMK Muhammadiyah Salam dapat memiliki kreatifitas pada bidang komputer khususnya aplikasi desktop untuk pengembangan ketrampilan Rekayasa Perangkat Lunak (RPL). Kegiatan pengabdian ini dilaksanakan dengan menggunakan metode pendampingan secara komprehensif kepada pada siswa kelas X melalui pendampingan program/aplikasi komputer seperti pembuatan database dan desktop. Tujuan jangka panjangnya adalah mempersiapkan siswa kelas X yang mempunyai minat di bidang software aplikasi untuk mengikuti kegiatan Lomba Kompetensi Siswa (LKS) pada periode berikutnya. Pelatihan software aplikasi ini karena di SMK Muhammadiyah tidak memiliki jurusan RPL, sehingga mahasiswa diseleksi untuk mengikuti kegiatan ini. Luaran akhir yang akan dicapai dari kegiatan ini adalah meningkatnya kemampuan siswa dalam penggunaan aplikasi komputer sebagai alat pengembangan kreatifitas siswa dalam bidang pemrograman/rekayasa perangkat lunak. Selain itu adalah terpublikasinya hasil pengabdian ini dalam jurnal pengabdian masyarakat.
Kata kunci: Pengabdian Masyarakat, Rekayasa Perangkat Lunak, Software Aplikasi, Pemrograman
Abstract:Abstract: Community service aims to provide partners with the skills and knowledge to utilize tofu liquid waste to be organic fertilizer and provide assistance in making chimney smoke. This activity uses continuous training…
ing and mentoring methods to achieve the target of the solutions offered. During the activity the participants followed very enthusiastically and were committed to developing the production of organic fertilizer from liquid waste knowing to be a side business and a superior village product. In addition, smoke puffs which become a social problem for residents around the tofu industry have been handled by making chimneys.
Keywords: environmental pollution, liquid waste, tofu industry
Abstrak: Pengabdian kepada masyarakat ini bertujuan untuk memberikan keterampilan dan pengetahuan kepada mitra untuk memanfaatkan limbah cair tahu menjadi pupuk organik dan memberikan pendampingan pembuatan asap cerobong. Kegiatan ini dengan menggunakan metode pelatihan dan pendampingan berkesinambungan sehingga tercapai target dari solusi yang ditawarkan. Selama kegiatan berlangsung peserta mengikuti sangat antusian dan berkomitmen untuk mengembangkan produksi pupuk organik dari limbah cair tahu mejadi usaha sampingan dan produk unggulan desa. Selain itu kepulan asap yang menjadi masalah sosial warga sekitar industri tahu telah tertangani dengan dibuatnya cerobong asap.
Kata kunci : pencemaran lingkungan, limbah cair, industri tahu
Abstract:Abstarct: Increased computer users in high school make increasingly also the desire of students / i equal to know the type of computer components. With the many interests of students to know installation of computers, making…
making their enthusiasm higher in knowing the types of computer applications. Many factors influence for students on computer assembly, such as how component form, type of operating system, and how to install.
Keywords: Computer Components, Operating System
Abstak: Peningkatan pengguna komputer di sekolah SMA membuat makin meningkat pula keinginan siswa/i sederajat untuk mengetahui jenis komponen komputer. Dengan banyaknya minat siswa/i untuk mengetahui instalasi komputer, membuat antusias mereka semakin tinggi dalam mengetahui jenis aplikasi komputer. Banyak faktor yang mempengaruhi bagi siswa/i pada instalasi komputer, seperti bagaimana bentuk komponen, jenis sistem operasi, dan bagaimana cara instalasinya.
Kata Kunci : Komponen Komputer, Sistem Operasi,
Abstract:Abstrak: Bentuk aplikasi dari serangkaian teori pendidikan yang telah dipelajari di dalam kampus tentunya akan lebih bermanfaat apabila teori-teori ilmu tersebut kita bagi kepada masyarakat. Kegiatan inilah yang disebut…
dengan pengabdian kita kepada masyarakat. Sebagai seorang akademisi baik dosen dan mahasiswa harus mampu bekerjasama dalam meujudkan Tri Darma perguruan tinggi dimana tempat kita membagi dan menimba ilmu pengetahuan. Pengabdian kepada masyarakat adalah tindakan nyata yang dapat kita lakukan untuk menambah wawasan masyarakat terhadap informasi yang akan kita bagikan, sehingga membawa kontribusi positif dalam masyarakat. Apalagi sekarang lagi hangat-hangatnya memperbincangkan tentang pemilihan kepala daerah, oleh karena itu penyuluhan tentang kepemimpinan dianggap perlu untuk di sosialisasikan kepada masyarakat. Harapan kedepannya adalah masyarakat mampu memilih pemimpin yang dapat menjadi contoh baik dalam setiap tindakan dan perkataannnya. Masyarakat diharapkan lebih hati-hati dalam memilih calon kepala daerah, tidak mudah terpengaruh citra dan kekuasaan yang dapat mendatangkan kerudian dalam masyarakat itu nantinya. Selain itu masyarakat tidak perlu takut terhadap tekanan yang mungkin saja datang untuk memaksa memilih jagoan mereka, masyarakat harus mendapatkan pencerahan tentang bagaimana hukum itu berlaku di kalangan masyarakat. Untuk itu selain membahas masalah kepemimpinan Universitas asahan juga bekerjasama dengan Yayasan Lembaga Bantuan Hukum – Cakrawana Nusantara Indonesia untuk memberi pemahaman kepada masyarakat tentang hukum, apa yang harus dilakukan masyarakat apabila tersangkut permasalahan hukum di lingkungannya, mengetahui hak dan kewajibannya dalam mentaati hukum tersebut. Harapan terbesarnya masyarakat di desa antara tidak tabu lagi terhadap permasalahan hukum, masyarakat desa antara berani untuk menghadapai permasalahan hukum yang mereka hadapi, masyarakat desa antara mampu memilih pemimpin yang tepat untuk memimpin daerah mereka.
Kata kunci: Kepemimpinan, Bantuan Hukum, Masyarakat Marginal
Abstract: The application form of a series of educational theories that have been studied on campus will certainly be more useful if the theories of science are shared for the community. This activity is called our devotion to the community. As an academic both lecturers and students should be able to work together in realizing Tri Darma college where we share and gain knowledge. Community service is a real action that we can do to increase society's insight into the information we will share, thus bringing a positive contribution to society. Especially now more warmly discussed about the election of regional heads, therefore counseling about leadership is considered necessary for the socialization to the community. The future expectation is that people are able to choose leaders who can be good examples in every action and perfomance. The community is expected to be more careful in choosing candidates for regional heads, not easily influenced by the image and power that can bring in the society later. In addition people should not be afraid of the pressures that might come to force their heroes, the public should get an enlightenment about how the law applies to the public. In addition to discussing the issue of leadership, the University of Asahan also cooperates with the Legal Aid Foundation - Cakrawana Nusantara Indonesia to provide an understanding to the public about the law, what should the community do when it comes to legal issues in its environment, knowing its rights and obligations in complying with the law. The greatest hope of the community in the village between no longer taboo on legal issues, the villagers between daring to face the legal problems they face, the villagers between able to choose the right leader to lead their area.
Keywords: Leadership, Legal Aid, Marginal Society
Abstract:Abstract: The increasing use of the Maxim ride-hailing application in Manokwari highlights the need to understand the factors influencing user acceptance and satisfaction. However, the growing number of users does not necessarily…
cessarily reflect a high level of technology acceptance and user satisfaction. This study aims to examine the effects of performance expectancy, effort expectancy, facilitating conditions, and habit on behavioral intention, as well as the effect of behavioral intention on user satisfaction among Maxim users in Manokwari. A quantitative approach based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was employed. Data were collected through questionnaires using a purposive sampling technique from 156 valid respondents and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4.0. The results show that performance expectancy (β = 0.343, p < 0.001), effort expectancy (β = 0.191, p = 0.002), facilitating conditions (β = 0.142, p = 0.029), and habit (β = 0.359, p < 0.001) positively and significantly influence behavioral intention. Furthermore, behavioral intention positively and significantly affects user satisfaction (β = 0.771, p < 0.001). These findings confirm the applicability of the UTAUT2 model and provide practical insights for Maxim management and application developers to improve service quality and user satisfaction.
Keywords: behavioral intention; effort expectancy; facilitating conditions; habit; performance expectancy; user satisfaction.
Abstrak: Meningkatnya penggunaan aplikasi transportasi daring Maxim di Manokwari mendorong perlunya memahami faktor-faktor yang memengaruhi penerimaan teknologi dan kepuasan pengguna. Namun, peningkatan jumlah pengguna belum tentu mencerminkan tingginya tingkat penerimaan teknologi dan kepuasan pengguna. Penelitian ini bertujuan menganalisis pengaruh performance expectancy, effort expectancy, facilitating conditions, dan habit terhadap behavioral intention, serta pengaruh behavioral intention terhadap user satisfaction pada pengguna aplikasi Maxim di Manokwari. Penelitian ini menggunakan pendekatan kuantitatif berdasarkan model Unified Theory of Acceptance and Use of Technology 2 (UTAUT2). Data dikumpulkan melalui kuesioner menggunakan teknik purposive sampling terhadap 156 responden dan dianalisis menggunakan Partial Least Squares Structural Equation Modeling (PLS-SEM) dengan SmartPLS 4.0. Hasil penelitian menunjukkan bahwa performance expectancy (β = 0,343; p < 0,001), effort expectancy (β = 0,191; p = 0,002), facilitating conditions (β = 0,142; p = 0,029), dan habit (β = 0,359; p < 0,001) berpengaruh positif dan signifikan terhadap behavioral intention. Selanjutnya, behavioral intention berpengaruh positif dan signifikan terhadap user satisfaction (β = 0,771; p < 0,001). Temuan ini menegaskan penerapan model UTAUT2 serta memberikan masukan bagi manajemen Maxim dan pengembang aplikasi untuk meningkatkan kualitas layanan dan kepuasan pengguna.
Kata kunci: behavioral intention; effort expectancy; facilitating conditions; habit; performance expectancy; user satisfaction.
Abstract:Abstract: Academic achievement mapping is an important process in higher education to support effective academic monitoring and guidance. In practice, student grouping is often conducted manually by academic staff using…
simple criteria such as Grade Point Average (GPA) thresholds and subjective judgment, without systematic data analysis. This study aims to apply the Fuzzy C-Means (FCM) clustering algorithm to objectively group students based on their academic achievement levels. The dataset consists of academic records from 179 sixth-semester students of the Computer Science Study Program at Universitas Islam Negeri Sumatera Utara, where 160 eligible students are processed in the FCM calculation. Three variables are used: cumulative GPA, total completed credits, and the total number of low grades (D/E). The FCM algorithm automatically performs the mapping and groups students into three categories, namely excellent, stable, and at-risk students. Cluster quality is evaluated using the Silhouette Score and Davies–Bouldin Index, showing satisfactory clustering performance. The results indicate that the proposed approach provides a data-driven and objective basis for academic decision support.
Keywords: academic achievement; clustering; fuzzy c-means; student
Abstrak: Pemetaan pencapaian akademik mahasiswa merupakan proses penting dalam pendidikan tinggi untuk mendukung pemantauan dan pembinaan akademik yang tepat sasaran. Dalam praktiknya, pengelompokan mahasiswa masih sering dilakukan secara manual oleh pihak akademik berdasarkan kriteria sederhana, seperti batasan Indeks Prestasi Kumulatif (IPK) dan penilaian subjektif, tanpa analisis data yang sistematis. Penelitian ini bertujuan menerapkan algoritma Fuzzy C-Means (FCM) untuk mengelompokkan mahasiswa secara objektif berdasarkan tingkat pencapaian akademik. Data penelitian berasal dari 179 mahasiswa semester enam Program Studi Ilmu Komputer Universitas Islam Negeri Sumatera Utara, dengan 160 mahasiswa memenuhi kriteria dan diproses menggunakan algoritma FCM. Variabel yang digunakan meliputi IPK kumulatif, jumlah SKS yang telah ditempuh, dan total nilai rendah (D/E). Proses pemetaan sepenuhnya dilakukan oleh algoritma FCM dan menghasilkan tiga kategori mahasiswa, yaitu unggul, stabil, dan berisiko. Evaluasi menggunakan Silhouette Score dan Davies–Bouldin Index menunjukkan kualitas pengelompokan yang cukup baik.
Kata kunci: fuzzy c-means; clustering; mahasiswa; pencapaian akademik
Abstract:Abstract: The growing intensity of cyber attacks, marked by rapid, large-scale, automated, and adaptive execution, requires analytical methods that represent the diversity of network environments, including variations in…
target platforms such as IoT, traditional networks, and hybrid infrastructures. This study compares machine learning models for cyber attack classification under heterogeneous environmental conditions and formulates a conceptual optimization framework based on model performance. Four publicly available benchmark datasets were used, namely UNB CIC IoT 2023, UNB CIC IDS-2018, UNSW-NB15, and a Kaggle cyber security attacks dataset, comprising approximately 40,000 to over 3.6 million records and 25 to 80 features across IoT, conventional, and mixed network environments. Random Forest, XGBoost, Multilayer Perceptron, and Transformer were implemented within a unified pipeline involving preprocessing, feature selection, and Bayesian Optimization-based hyperparameter tuning. All models achieved F1-score and Cohen's Kappa above 96%, with XGBoost performing best (97.80%, 97.26%), followed by Random Forest (97.78%, 96.96%) and Transformer (97.44%, 96.82%), while MLP scored lowest (96.74%, 96.00%), a gap below one percentage point. Confusion matrix analysis revealed persistent misclassification in minority and overlapping attack classes, informing a proposed adaptive cyber attack simulation optimization framework.
Keywords: cyber attacks; optimization; machine learning; environmental variability.
Abstrak: Meningkatnya intensitas serangan siber yang berlangsung cepat, masif, otomatis, dan adaptif menuntut pendekatan analitis yang merepresentasikan keragaman lingkungan jaringan, termasuk perbedaan karakteristik platform sasaran seperti Internet of Things (IoT), jaringan konvensional, dan infrastruktur hibrida. Penelitian ini membandingkan model machine learning untuk klasifikasi serangan siber pada kondisi lingkungan heterogen, sekaligus menyusun kerangka optimasi konseptual berdasarkan performa model. Empat dataset benchmark publik digunakan, yaitu UNB CIC IoT 2023, UNB CIC IDS-2018, UNSW-NB15, serta dataset Kaggle cyber security attacks, dengan jumlah data berkisar 40.000 hingga lebih dari 3,6 juta rekaman dan 25 sampai 80 fitur, mewakili lingkungan IoT, konvensional, dan campuran. Random Forest, XGBoost, Multilayer Perceptron, dan Transformer diimplementasikan melalui pipeline terpadu mencakup pra-pemrosesan, seleksi fitur, dan optimasi hyperparameter berbasis Bayesian Optimization. Seluruh model mencapai F1-score dan Cohen's Kappa di atas 96%, dengan XGBoost menunjukkan performa terbaik (97,80%, 97,26%), diikuti Random Forest (97,78%, 96,96%) dan Transformer (97,44%, 96,82%), sementara MLP mencatat skor terendah (96,74%, 96,00%), dengan selisih kurang dari satu poin persentase. Analisis confusion matrix mengungkap misklasifikasi yang konsisten pada kelas minoritas dan serangan dengan karakteristik serupa, yang menjadi dasar kerangka optimasi simulasi serangan siber adaptif yang diusulkan.
Kata kunci: serangan siber; optimasi; machine learning; variabilitas lingkungan
Abstract:Abstract: The rapid development of information and communication technology has prompted the government to provide digital-based services, including in the management of demographic data. This study aims to apply the Task-Centered…
k-Centered System Design (TCSD) method in designing the Muara Enim Regency Demographic Data Information System. The TCSD method was chosen to ensure that the prototype design process was systematic and focused on user needs and tasks. The research stages included identification, user-centered needs analysis, scenario-based design, and walkthrough evaluation. The designed prototype supports several main tasks, including viewing demographic statistics, searching for specific data, submitting data download requests, and contacting the admin. The evaluation was conducted through online usability testing using the Maze platform with the System Usability Scale (SUS) instrument involving 13 respondents. The evaluation results showed an average SUS score of 78.5, which falls into the “good” category. This confirms that the interface design has met usability standards, is user-friendly, and is capable of supporting user needs in accessing and managing demographic data. Thus, the application of the TCSD method has proven to be effective in producing an interface design that is focused on user tasks and can be the basis for further system development.
Keywords: system usability scale; task centered system design; user interface
Abstract:Abstract: Stroke is one of the leading causes of death and disability in various parts of the world, including in Indonesia. Along with the development of digital technology, the use of Machine Learning in the health sector…
tor is growing, one of which is in an effort to predict the occurrence of stroke. This study aims to implement the Logistic Regression algorithm in predicting the likelihood of a person having a stroke based on data from the Brain Stroke dataset. The research process includes data preprocessing (missing value handling, normalization, and label encoding), dividing the data into 80% training data and 20% test data, as well as model training. The model was then evaluated using several measures such as accuracy, precision, recall, F1-score, and ROC-AUC, as well as a confusion matrix. The results of the study showed that Logistic Regression was able to provide stroke classification results with an accuracy of 82.4%, precision of 80.1%, recall of 78.6%, F1-score of 79.3%, and a ROC-AUC value of 0.87. Then, the model is integrated into applications that use Streamlit, so it can be used interactively to predict stroke risk in new data. The results of this study show that the combination of Machine Learning and web-based applications has the potential to support efforts to detect early stroke risk.
Keywords: logistic regression; machine learning; prediction; streamlit; stroke.
Abstrak: Stroke adalah salah satu penyebab utama kematian dan kecacatan di berbagai belahan dunia, termasuk di Indonesia. Seiring perkembangan teknologi digital, penggunaan Machine Learning dalam bidang kesehatan semakin berkembang, salah satunya dalam upaya memprediksi terjadinya penyakit stroke. Penelitian ini bertujuan untuk mengimplementasikan algoritma Logistic Regression dalam memprediksi kemungkinan seseorang mengalami stroke berdasarkan data dari dataset Brain Stroke. Proses penelitian meliputi preprocessing data (penanganan missing value, normalisasi, dan label encoding), membagi data menjadi 80% data latih dan 20% data uji, serta pelatihan model. Model kemudian dievaluasi menggunakan beberapa ukuran seperti akurasi, precision, recall, F1-score, dan ROC-AUC, serta confusion matrix. Hasil penelitian menunjukkan bahwa Logistic Regression mampu memberikan hasil klasifikasi penyakit stroke dengan akurasi sebesar 82,4%, precision 80,1%, recall 78,6%, F1-score 79,3%, dan nilai ROC-AUC sebesar 0,87. Kemudian, model tersebut diintegrasikan ke dalam aplikasi yang menggunakan Streamlit, sehingga dapat digunakan secara interaktif untuk memprediksi risiko stroke pada data baru. Hasil penelitian ini menunjukkan bahwa kombinasi Machine Learning dan aplikasi berbasis web berpotensi mendukung upaya deteksi dini risiko stroke.
Kata kunci: logistic regression; machine learning; prediksi; streamlit; stroke.