Abstract:Abstract:The 2009 Permenpan-RB on Sustainable Professional Development is not only aimed at PNS teachers but teachers in general. Members of the GTT-PTT Honorary Staff Forum at Secang District have a strong desire to be…
able to arrange the classroom action research (CAR). However, this desire is constrained by the limited opportunities given to them attending CAR training. Most of them do not have enough knowledge about CAR preparation. In addition to being unfamiliar with research methods, they also lack knowledge of how to plan and compile their reports. Seeing this problem, this dedication activity became a concrete effort to help teachers, especially members of the Secang GTT-PTT Honorary Forum at Secang District, to provide training and mentoring for the preparation of CAR increasing the knowledge about CAR development. This community service was carried out within 4 months. This activity was attended by 25 participants. The method of activities carried out to resolve partner problems was through training and mentoring divided into 5 meetings at the SDN 2 Secang hall. Material presented at the first meeting were: (1) PTK concept; (2) preparation of background, problem identification and formulation of topics and problems; (3) looking for sources of reference related to the topic, as well as the design of the CAR implementation; (4) preparation of results and discussion; and (5) finalization of the report.
Keywords:Community Services, Training, Action Research
Abstrak: Permenpan-RB Tahun 2009 tentang Pengembangan Keprofesian Berkelanjutan (PKB) tidak hanya ditujukan kepada guru PNS saja namun guru secara umum. Anggota Forum Tenaga Honorer GTT-PTT Kecamatan Secang memiliki keinginan yang kuat untuk mampu menyusun PTK. Namun, keinginan tersebut terkendala dengan terbatasnya kesempatan yang diberikan kepada mereka untuk mengikuti pelatihan PTK. Sebagian besar dari mereka tidak memiliki pengetahuan yang cukup mengenai penyusunan PTK. Selain awam dengan metode penelitian, mereka juga tidak memiliki pengetahuan tentang bagaimana merencanakan dan menyusun laporannya. Melihat masalah tersebut, kegiatan pengabdian ini menjadi upaya konkret dalam membantu guru terutama anggota Forum Tenaga Honorer GTT-PTT Kecamatan Secang untuk memberikan pelatihan dan pendampingan penyusunan PTK dalam meningkatkan pengetahuan tentang penyusunan PTK. Pengabdian masyarakat ini dilaksanakan dalam waktu 4 bulan. Kegiatan ini diikuti oleh 25 peserta. Metode kegiatan yang dilaksanakan guna menyelesaikan permasalahanmitra adalah dengan pelatihan dan pendampingan yang dibagi menjadi 5 pertemuan bertempat di aula SDN 2 Secang. Materi yang disampaikan dalam pertemuan pertama adalah: (1) konsep PTK; (2) penyusunan latar belakang, identifikasi masalah serta perumusan topik dan masalah; (3) mencari sumber rujukan terkait topik, serta desain pelaksanaan PTK; (4) penyusunan hasil dan pembahasan; dan (5) finalisasi laporan.
Kata kunci : Pengabdian Masyarakat, Pelatihan, Ptk
Abstract:Abstract: Community service activities which are given the title “Use of Social Media As Information Media UPT. Porsea Health Center†aims to provide information to all Porsea people about health openly. The method used…
method used in this activity is direct observation to the healt center by retrieving data along with documentation from Porsea health center all of which will later be poured out on social media. other than that, data and information collection also carried out by the lecturer team as the perpetrator of this service activity by direct interview to staff and employees which is in the Porsea health center. The final result of this service utilize social media as information giver to porsea society equipped with supporting pictures.
Keywords: Social Media, Information, Helath Center, Whatsapp
Abstrak: Kegiatan pengabdian kepada masyarakat yang diberi judul “Pemanfaatan Media Sosial Sebagai Media Informasi UPT. Puskesmas Porsea†bertujuan untuk memberikan informasi kepada seluruh masyarakat porsea tentang kesehatan secara terbuka. Metode yang digunakan dalam kegiatan ini adalah observasi langsung ke puskesmas dengan mengambil data-data beserta dokumentasi dari puskesmas Porsea yang nantinya akan dituangkan semuanya media sosial. Selain itu, pengumpulan data dan informasi juga dilakukan tim dosen selaku pelaku kegiatan pengabdian ini dengan cara wawancara langsung kepada staf dan pegawai yang ada di lingkungan puskesmas Porsea. Hasil akhir dari pengabdian ini adalah memanfaatkan media sosial sebagai pemberi informasi kepada masyarakat Porsea dilengkapi dengan gambar-gambar pendukung
Kata kunci: Sosial Media, Informasi, Pusat Kesehatan, Whatsapp
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: The assessment of PKH employees in Batu Bara Regency still requires an objective and measurable evaluation process to support performance decisions. Manual assessment can cause subjectivity and take more time,…
especially when several criteria must be considered. This study aims to apply the Simple Additive Weighting (SAW) method to the PKH employee assessment system in Batu Bara Regency. The criteria used in this assessment are attendance, teamwork, responsibility, communication, and length of service. The SAW method is applied by determining criteria weights, converting employee values, normalizing the decision matrix, and calculating preference values to obtain the final ranking. The results show that alternative A1, Rahmi Rizkya, obtained the highest score of 0.9504 and ranked first, while alternative A5, Toni Syahpradanadaely, obtained the lowest score of 0.4831. Based on these results, the SAW method can help the employee assessment process become more objective, structured, and useful as a reference for evaluating PKH employee performance.
Keywords: decision support system; PKH employee; simple additive weighting
Abstrak: Penilaian pegawai PKH Kabupaten Batu Bara membutuhkan proses evaluasi yang objektif dan terukur untuk mendukung pengambilan keputusan terhadap kinerja pegawai. Penilaian yang masih dilakukan secara manual dapat menimbulkan subjektivitas dan membutuhkan waktu lebih lama, terutama jika penilaian melibatkan beberapa kriteria. Penelitian ini bertujuan untuk menerapkan metode Simple Additive Weighting (SAW) pada sistem penilaian pegawai PKH Kabupaten Batu Bara. Kriteria yang digunakan dalam penilaian meliputi kehadiran, kerja sama tim, tanggung jawab, komunikasi, dan masa kerja. Metode SAW diterapkan melalui penentuan bobot kriteria, konversi nilai pegawai, normalisasi matriks keputusan, serta perhitungan nilai preferensi untuk memperoleh hasil perankingan. Hasil penelitian menunjukkan bahwa alternatif A1 atas nama Rahmi Rizkya memperoleh nilai tertinggi sebesar 0,9504 dan menempati peringkat pertama, sedangkan alternatif A5 atas nama Toni Syahpradanadaely memperoleh nilai terendah sebesar 0,4831. Berdasarkan hasil tersebut, metode SAW dapat membantu proses penilaian pegawai menjadi lebih objektif, terstruktur, dan dapat dijadikan acuan dalam evaluasi kinerja pegawai PKH.
Kata kunci: pegawai PKH; simple additive weighting; sistem pendukung keputusan
Abstract:Abstract: The development of information technology has begun to enter the world of education, especially universities, one of which is the academic information system because with this system it greatly influences the learning…
earning process and also in the delivery of information. A web-based academic information system is very adequate, but there are several obstacles such as in learning that does not require a laptop device, it will be very disruptive if the implementation of attendance and others is done on a mobile phone but with a web view. So this research aims to design a mobile-based UI/UX academic information system application with the hope that it can be an alternative in accessing the use of academic information systems for lecturers and students can also be accessed anytime and anywhere through mobile phones with a comfortable display. This study also tested the UI/UX design prototype to assess its feasibility. This test uses the system usability scale (SUS) method with a convident interval validation of 95% to determine the lower and upper limits of the SUS value. For the final score of SUS obtained was 78.75, and in the 95% CI test a Lower CI of 66.27 was produced, and for the Upper CI of 91.23 so that it was given a grade of B. It can be concluded that the design developed in this study is worthy of further development.
Keywords: academic information systems; design thinking; system usability scale
Abstrak: Perkembangan teknologi informasi sudah mulai masuk kedalam dunia pendidikan terutama perguruan tinggi, salah satunya sistem informasi akademik karena dengan adanya sistem ini sangat mempengarusi proses pembelajaran dan juga dalam penyampaian informasi. Sistem informasi akademik berbasis web sudah sangat memadai namun ada beberapa kendala seperti dalam pembelajaran yang tidak memerlukan perangkat laptop akan sangat menganggu jika pelaksanaan absensi dan lainya dilakukan pada ponsel tapi dengan tampilan web. Sehingga penelitian ini bertujuan untuk merancang UI/UX aplikasi sistem informasi akademik berbasis mobile dengan harapan dapat menjadi alternatif dalam akses penggunaan sistem informasi akademik bagi dosen dan mahasiswa juga dapat diakses kapan saja dan dimana saja melalui ponsel dengan tampilan yang nyaman. Penelitian ini juga melakukan pengujian terhadap prototype desain UI/UX untuk menilai kelayakannya. Pengujian ini menggunaka metode system usability scale (SUS) dengan validasi convident interval 95% untuk mengetahui batas bawah dan batas atas nilai SUS. Untuk nilai akhir SUS yang didapatkan adalah 78,75, dan dalam pengujian CI 95 % dihasilkan CI Lower 66,27, dan untuk CI Upper 91,23 Sehingga mendapat grade B. Dapat disumpulkan bahwa desain yang dikembangkan dalam penelitian ini layak untuk dikembangkan lebih lanjut.
Kata kunci: sistem informasi akademik; desain thinking; system usability scale
Abstract:Abstract: Higher education plays an essential role in improving human resource quality, one of which is through the institution’s ability to monitor and predict student graduation outcomes. This study does not focus on a…
a specific university but utilizes the publicly available Students Performance in Exams dataset from Kaggle, consisting of 1,000 student records containing mathematics, reading, and writing scores, along with demographic attributes such as gender, parental education level, lunch type, and test preparation participation. The data were processed through a feature engineering stage by adding an average score variable as an early indicator of graduation status. A predictive model was developed using the Random Forest Classifier, achieving an accuracy of 94.5%. The final model was integrated into a Streamlit-based web application to provide an accessible tool for academic stakeholders. The results indicate that the proposed model can serve as an effective decision-support tool for early evaluation of students’ likelihood of graduation.
Keywords: prediction; random forest classifier, streamlit, student graduation.
Abstrak: Pendidikan tinggi memegang peran penting dalam peningkatan kualitas sumber daya manusia, salah satunya melalui kemampuan institusi dalam memantau dan memprediksi tingkat kelulusan mahasiswa. Penelitian ini tidak berfokus pada perguruan tinggi tertentu, melainkan menggunakan dataset publik Students Performance in Exams dari Kaggle yang berisi 1.000 data mahasiswa, terdiri atas nilai matematika, membaca, menulis, serta atribut demografis seperti gender, tingkat pendidikan orang tua, jenis makan siang, dan partisipasi kursus persiapan. Data diolah melalui tahap feature engineering dengan menambahkan variabel average score sebagai indikator awal kelulusan. Model prediksi dibangun menggunakan algoritma Random Forest Classifier, yang menghasilkan tingkat akurasi sebesar 94,5%. Model ini kemudian diimplementasikan ke dalam aplikasi web berbasis Streamlit untuk memberikan layanan prediksi yang mudah diakses oleh pihak akademik. Hasil penelitian menunjukkan bahwa model mampu digunakan sebagai alat pendukung keputusan untuk melakukan evaluasi dini terhadap potensi kelulusan mahasiswa.
Kata kunci: kelulusan mahasiswa; prediksi; random forest classifier; streamlit.
Abstract:Abstract: Ineffective drug demand management can lead to problems such as imbalanced drug distribution, excess stock, or shortages in community health centers. To address this, data mining can be utilized to support the…
planning and control process of drug inventory. Clustering techniques were chosen because they are able to group drug data based on certain characteristics, thus identifying stable and unstable drug supply patterns. This study aims to group drug data at Simpang Kawat Community Health Center in Jambi City, which can be used as a reference in planning drug needs in the next period. Data grouping is divided into three categories: slow-moving, medium-moving, and fast-moving. The research data includes attributes of drug name, initial stock, receipt, inventory, usage, and final stock, with a total of 1758 data sets, which were processed using the CRISP-DM framework through the RapidMiner application. Cluster quality evaluation was carried out using the Davies-Bouldin Index (DBI). The results showed that the K-Means algorithm obtained a DBI value of 0.175, smaller than K-Medoids which obtained a value of 0.354. Because a smaller DBI value indicates better cluster quality, K-Means provides more optimal clustering results than K-Medoids. Through these clustering results, community health centers can utilize drug cluster information to support more efficient drug procurement planning, as well as reduce the risk of excess or shortage of stock.
Keywords: data mining; clustering; k-means; k-medoids; davies-bouldin index
Abstract: Abstract: The Ombudsman of the Republic of Indonesia is an institution tasked with supervising the administration of public services and handling community complaint reports related to allegations of maladministration.…
on. The purpose of this research is to create a decision support system using the Analytic Hierarchy Process (AHP) method, which facilitates the determination of priority handling of community complaint reports at the Ombudsman of the Republic of Indonesia Bengkulu Representation. This decision support system is built on a web-based platform using PHP programming language with a MySQL database that can be accessed offline by the admin of the Ombudsman. With the existence of this priority recommendation, it is expected that work will become more effective and efficient, as resources can be focused on reports that most need attention. Based on the test data used, which consists of 12 Community Complaint Reports from July 2024, it was found that the priority handling recommendations for community complaint reports were derived from 3 reports with the highest final AHP values. The recommended priority handling reports are registration number 0021/LM/VII/2024/BKL with a final AHP value of 2.074, registration number 0020/LM/VII/2024/BKL with a final AHP value of 1.964, and registration number 0018/LM/VII/2024/BKL with a final AHP value of 1.866.
Keywords: decision support system; priority recommendation; public complaint report; AHP Method (analytic hierarchy process method)
Abstract:Abstract: The management of veterinary drug stocks at the Veterinary Clinic Technical Implementation Unit (UPTD) of the North Sumatra Province Plantation and Livestock Service faces obstacles in the form of discrepancies…
between supply and demand, resulting in excess stock and budget waste. Uncertain demand for drugs is a factor that complicates decision-making in stock provision. This study aims to optimize drug stock management using the Mamdani fuzzy logic method, which is capable of handling data uncertainty and modeling information linguistically. Three input variables are used, namely initial stock, demand, and number of visits, with the output being the final stock. The process involves fuzzification, inference based on IF–THEN rules, and defuzzification using the centroid method. The results show that the developed system has a good accuracy level with a MAPE value of 17.52%, which means that this model is effective in providing optimal and efficient drug stock recommendations in a veterinary clinic environment.
Keywords: fuzzy mamdani; optimization; animal drug stock.
Abstract:Abstract: This study applies an integrated approach to optimize heart failure classification. The main objective is to address the challenge of class imbalance in medical datasets and to improve the accuracy, sensitivity,…
, and generalization of the classification model. The urgency of this issue is emphasized by statistics showing that cardiovascular diseases cause approximately 17.9 million deaths worldwide each year. Using a quantitative experimental approach, this study analyzes the "Heart Failure Prediction Dataset" from Kaggle, which consists of 918 records. The data were processed through normalization and encoding, followed by the application of SMOTE on the training set to balance class distribution. This step successfully increased model accuracy from 88.41% to 90.22% and minority class recall from 0.82 to 0.88. Furthermore, Bayesian Optimization was employed to refine the hyperparameters of SVM, resulting in a final model with an accuracy of 89.13% that demonstrated better generalization. This integrated approach significantly enhances the stability, sensitivity, and generalization of the model, making it a reliable tool for clinical decision support systems in predicting heart failure.
Keywords: bayesian optimization; heart failure; machine learning; SMOTE; SVM.
Abstrak: Penelitian ini menerapkan pendekatan terintegrasi untuk mengoptimalkan klasifikasi gagal jantung. Tujuan utama studi ini adalah untuk mengatasi tantangan ketidakseimbangan kelas dalam dataset medis dan meningkatkan akurasi, sensitivitas, serta generalisasi model klasifikasi. Urgensi ini ditegaskan oleh statistik yang menunjukkan bahwa penyakit kardiovaskular menyebabkan sekitar 17,9 juta kematian setiap tahun secara global. Menggunakan pendekatan eksperimental kuantitatif, penelitian ini menganalisis "Heart Failure Prediction Dataset" dari Kaggle, yang terdiri dari 918 catatan. Data diproses dengan normalisasi dan encoding, lalu SMOTE diterapkan pada data pelatihan untuk menyeimbangkan distribusi kelas. Langkah ini berhasil meningkatkan akurasi dari 88,41% menjadi 90,22% dan recall kelas minoritas dari 0,82 menjadi 0,88. Selanjutnya, Bayesian Optimization menyempurnakan hyperparameter SVM, menghasilkan model akhir dengan akurasi 89,13% yang menunjukkan generalisasi lebih baik. Pendekatan terintegrasi ini secara signifikan meningkatkan stabilitas, sensitivitas, dan generalisasi model. Hasil penelitian ini menjadikannya alat yang andal untuk sistem pendukung keputusan klinis dalam prediksi gagal jantung.
Kata kunci: bayesian optimization; gagal jantung; machine learning; SMOTE; SVM