Abstract:This program aims to enhance employees' abilities in creating more efficient and organized project schedules. This need arose due to some employees' limited knowledge and experience in utilizing Microsoft Project to produce…
uce accurate and structured work schedules. The training involved four employees, comprising three participants with a background in civil engineering and one from management. The training methods included an introduction to basic project scheduling, the use of Microsoft Project, and the application of real case studies from ongoing projects. Pre-test results showed an average score of 54.25, with the management participant receiving a grade of E, while civil engineering participants received grades of C and D. After the training, the post-test indicated significant improvement, with one participant achieving a grade of A and two others obtaining a grade of B. The management participant improved to a grade of C. The final assignment, creating a project schedule using Microsoft Project, was successfully completed by all participants, demonstrating improved skills in project management and resource optimization. In conclusion, this training successfully enhanced employees' understanding and skills in using Microsoft Project for project schedule optimization at CV. KEINARRA, which has the potential to increase the company's overall efficiency.
Keywords: Microsoft Project; project scheduling; training; optimization.
Abstrak: Pengabdian ini bertujuan untuk meningkatkan kemampuan karyawan dalam menyusun jadwal proyek yang lebih efisien dan terorganisir. Permintaan ini timbul karena beberapa karyawan kurang memiliki pengetahuan dan pengalaman dalam memanfaatkan Microsoft Project untuk menghasilkan jadwal kerja yang akurat dan terstruktur. Pelatihan ini melibatkan empat karyawan, terdiri dari tiga peserta dengan latar belakang teknik sipil dan satu dari manajemen. Metode pelatihan meliputi pengenalan dasar penjadwalan proyek, penggunaan Microsoft Project, serta aplikasi studi kasus nyata dari proyek yang sedang berlangsung. Hasil pre-test menunjukkan skor rata-rata sebesar 54,25, di mana peserta dari manajemen mendapatkan nilai E, sedangkan peserta dari teknik sipil mendapatkan nilai C dan D. Setelah pelatihan, post-test menunjukkan peningkatan signifikan dengan satu peserta meraih nilai A dan dua peserta lainnya mendapatkan nilai B. Peserta dari manajemen meningkat ke nilai C. Tugas akhir berupa penyusunan jadwal proyek dengan Microsoft Project berhasil diselesaikan oleh semua peserta, menunjukkan peningkatan keterampilan dalam manajemen proyek dan optimalisasi sumber daya. Kesimpulannya, pelatihan ini berhasil meningkatkan pemahaman dan keterampilan karyawan dalam penggunaan Microsoft Project untuk optimasi jadwal proyek di CV. KEINARRA, yang berpotensi meningkatkan efisiensi perusahaan secara keseluruhan.
Kata kunci: Microsoft Project; penjadwalan proyek; pelatihan; optimasi.
Abstract:The National Schools Debating Championship (NSDC) is among the most popular debate competitions. Schools in Indonesia strive to prepare their best students for this prestigious competition. One high school in Palangka Raya,…
ya, Central Kalimantan, also prepares its students to participate in this prestigious event. To this end, the school formed an English Debate Club (EDC). However, the enthusiasm of EDC members in practising tends to be inconsistent, which impacts the effectiveness of their preparation. In response to this problem, a team of lecturer and students from the English Education Study Program, Palangka Raya University, implemented a coaching program to increase the enthusiasm, confidence, and debating skills of EDC members. The coaching activities were conducted in four sessions, covering motion analysis training, case studies, and debate practice, with guidance from an outstanding student representing the university in the National University Debating Championship (NUDC) at the national level. Qualitative questionnaire results indicated increased enthusiasm and self-confidence among EDC members during training sessions and improved understanding of debate strategies. This initiative demonstrates that coaching based on the direct experience of a high-achieving debater can serve as an effective strategy for developing debate clubs in secondary schools.
Keywords: enthusiasm; coaching program; debate strategy; self-confidence; debate club
Abstrak: National Schools Debating Championship (NSDC) merupakan salah satu kompetisi debat yang paling populer. Sekolah di Indonesia berusaha mempersiapkan potensi terbaiknya untuk mengikuti kompetisi bergengsi ini. Salah satu sekolah menengah atas di Palangka Raya, Kalimantan Tengah, juga mempersiapkan para siswanya untuk mengikuti ajang bergengsi tersebut. Untuk itu, sekolah membentuk English Debate Club (EDC). Namun, antusiasme anggota EDC dalam berlatih cenderung tidak konsisten, yang berdampak pada efektivitas persiapan mereka. Menanggapi permasalahan tersebut, tim dosen dan mahasiswa dari Program Studi Pendidikan Bahasa Inggris, Universitas Palangka Raya melaksanakan program pendampingan guna meningkatkan antusiasme, percaya diri dan kemampuan debat para anggota EDC. Kegiatan pendampingan dilakukan dalam empat sesi pertemuan, yang mencakup pelatihan analisis mosi, pembedahan kasus, serta praktik debat, dengan bimbingan dari mahasiswa berprestasi yang pernah mewakili universitas dalam ajang National University Debating Championship (NUDC) tingkat nasional. Hasil survei menunjukkan peningkatan antusiasme dan kepercayaan diri anggota EDC dalam mengikuti latihan, serta pemahaman yang lebih baik terhadap strategi debat. Kegiatan ini menunjukkan bahwa pendampingan berbasis pengalaman langsung dari mahasiswa debat berprestasi dapat menjadi strategi efektif dalam membina klub debat di sekolah menengah.
Kata kunci: antusiasme; program pendampingan; strategi debat; percaya diri; klub debat
Abstract:Culinary is a very popular business in Indonesian society. This phenomenon has the consequence that the level of business competition becomes tighter, it is means that culinary businesses are always required to innovate…
to survive in the long run. The main focus of this community service is providing training to culinary business owners to follow dynamic consumer taste trends. This training aims to provide solutions by creating innovation and knowing the latest consumer interests. The approach used in this training is discussion and mapping of partners' challenges, then knowledge assistance and provision are provided. The results of Google Trends training are generally able to make a real contribution to business owners in achieving consumer loyalty. Apart from that, this training increases partners' knowledge in utilizing the Google Trends application to determine product focus and product marketing locations. In particular, it can foster strong self-confidence in partners in using digital business.
Keywords: digital marketing; product trends; culinary; innovation.
Abstrak: Kuliner merupakan sebuah bisnis yang sangat digemari oleh masyarakat Indonesia. Fenomena ini membawa konsekuensi pada tingkat persaingan usaha yang semakin ketat, artinya pelaku usaha kuliner dituntut untuk selalu berinovasi agar dapat bertahan dalam jangka panjang. Fokus utama pengabdian masyarakat ini adalah memberikan pelatihan kepada pemilik usaha kuliner agar dapat mengikuti tren selera konsumen yang dinamis. Pelatihan ini bertujuan untuk memberikan solusi dengan menciptakan inovasi dan mengetahui minat konsumen terkini. Pendekatan yang digunakan dalam pelatihan ini adalah diskusi dan pemetaan permasalahan mitra, kemudian diberikan pendampingan dan pembekalan pengetahuan. Hasil dari pelatihan Google Trends secara umum mampu memberikan kontribusi nyata bagi pemilik usaha dalam meraih loyalitas konsumen. Selain itu, pelatihan ini meningkatkan pengetahuan digital marketing mitra dalam menentukan fokus produk dan lokasi pemasaran produk. Secara khusus, dapat menumbuhkan rasa percaya diri yang kuat pada mitra dalam menggunakan bisnis digital.
Kata kunci: digital pemasaran; tren bisnis; kuliner; inovasi.
Abstract:SMAN 1 Waru is experiencing rapid development, particularly in this digital era, with its students achieving notable success in sports, science, and arts. However, despite these achievements, the management of such accomplishments…
plishments remains inadequate, rely-ing on manual systems. Consequently, the collection and recording of student achieve-ment data at SMAN 1 Waru are disorganized and often not up to date. Recognizing this issue, the community service team has developed an information system to manage stu-dent achievement data. This system includes comprehensive training to facilitate the ef-ficient processing of student achievements for both internal and external purposes, such as accreditation. The training session took place on March 28, 2024, at SMAN 1 Waru's computer laboratory and was attended by 35 students, website administrators, and three teachers. The training employed various methods, including lectures, practical exercises, and discussions. All participants demonstrated a clear understanding of the application's usage, as evidenced by their improved pre-test and post-test scores. Statistical analysis using the t-test confirmed the significance of this improvement, indicating that the train-ing effectively enhanced participants' understanding of using the student achievement website. Furthermore, the success of the training is reflected in the records of achieve-ment data inputted by the participants.
Keywords: achievement data; information system; website.
Abstract:Having problem of reaching the tested aspects of TOEFL particularly on achieving target score of TOEFL set, participants needed to be provided an intervention with TOEFL preparation class before encountering the test. For…
r that reason, this community service activity highlighted the impact of TOEFL preparation class on the non EFL learners’ achievement. One class was used as the sample of this activity in which it consisted of twenty students coming from different major in one of private universities in Palembang, southern region of sumatera. Descriptive analysis with experimental design was used. A test was administered to see whether or not there was a significant improvement on the non EFL learners’ TOEFL-like score achievement. The results revealed that achievement level of the participants were in the elementary and intermediate category. Besides, statistically there was a significant improvement on the EFL learners’ TOEFL-like score intervened by the provision of TOEFL preparation class. Thus, it could be further concluded that TOEFL preparation class was impactful on the non EFL undergaduates’ English achievement.
Keywords: TOEFL preparation class; Non EFL Classroom; Non EFL learners’ achievement
Abstract:The community service activities carried out are a multi-stakeholder collaborative effort in maintaining the cleanliness and sustainability of Loang Baloq Beach. The activity was carried out by involving various related…
parties, including the Regional Government, PDPM Mataram City, tourism industry players, surrounding communities, and students as agents of change. Activities are carried out in several stages, including observing problems, preparing, implementing waste cleaning, and making recommendations and action plans. The result of this community service activity is the creation of a cleaner and healthier environment, as well as the formation of recommendations and action plans to improve waste management at Loang Baloq Beach and other tourist destinations in Mataram City. The concept of multi-stakeholder collaboration that is applied in this service activity can be an example for waste management activities and the management of other tourist destinations in Indonesia. In addition, this activity also provides valuable experience for students in carrying out community service activities and involving different stakeholders in achieving the same goals. It is hoped that this activity can have a wider impact on the environment and society in Mataram City, and can be used as a reference for similar activities in the future.
Keywords: beach destinations; cleanliness; collaboration; garbage; tours
Abstrak: Kegiatan pengabdian yang dilakukan merupakan upaya kolaborasi multi stakeholder dalam menjaga kebersihan dan kelestarian Pantai Loang Baloq. Kegiatan dilaksanakan dengan melibatkan berbagai pihak terkait, termasuk Pemerintah Daerah, PDPM Kota Mataram, pelaku industri pariwisata, masyarakat sekitar, dan Mahasiswa sebagai agen perubahan. Kegiatan dilakukan dengan beberapa tahap, antara lain observasi masalah, persiapan, pelaksanaan pembersihan sampah, serta pembuatan rekomendasi dan rencana aksi. Hasil dari kegiatan pengabdian ini adalah terciptanya lingkungan yang lebih bersih dan sehat, serta terbentuknya rekomendasi dan rencana aksi untuk meningkatkan pengelolaan sampah di Pantai Loang Baloq dan destinasi wisata lainnya yang ada di Kota Mataram. Konsep kolaborasi multi stakeholder yang diterapkan dalam kegiatan pengabdian ini dapat menjadi contoh bagi kegiatan pengelolaan sampah dan pengelolaan destinasi wisata lainnya di Indonesia. Selain itu, kegiatan ini juga memberikan pengalaman berharga bagi para mahasiswa dalam melaksanakan kegiatan pengabdian masyarakat dan melibatkan stakeholder yang berbeda dalam mencapai tujuan yang sama. Diharapkan kegiatan ini dapat memberikan dampak yang lebih luas bagi lingkungan dan masyarakat di Kota Mataram, serta dapat dijadikan acuan bagi kegiatan serupa dimasa depan.
Kata kunci: destinasi pantai; kebersihan; kolaborasi; sampah; wisata
Abstract:Abstract: The exclusive breastfeeding coverage in the work area of North Community Health Center (Puskesmas Purwokerto Utara) 2 had only reached 76% by mid-2020. To pursue the target of achieving 90% by the end of the year,…
ar, cross-sectoral cooperation is needed. Lecturers of The Communication Science Study Program of Universitas Amikom Purwokerto took the initiative as facilitators by partnering with North Community Health Center staff to conduct a community service as an implementation of the Tri Dharma of Higher Education. In this event, the facilitators conducted socialization and training methods for health cadres on how to communicate assertively with breastfeeding mothers by emphasizing acceptance, empathy, support and openness. The training was carried out for one week, included four villages within the Community Health Center working area, namely Grendeng, Bancarkembar, Sumampir and Pabuwaran. This community service has a good impact to the health cadres and The Community Health Center. The 90% target of exclusive breastfeeding will be reviewed by the end of 2021. However, the health cadres and The Community Health Center have more self-confidence to convince breastfeeding mothers to look after their children better by giving them the exclusive breastfeeding. In turn, the target will be achieved.
Keywords: assertive communication; cross sectorial cooperation; exclusive breastfeeding.
Abstrak: Cakupan ASI Eksklusif di wilayah kerja Puskesmas Purwokerto Utara 2 baru mencapai 76% pada pertengahan tahun 2020. Untuk mencapai target 90% cakupan ASI Eksklusif pada akhir tahun, dibutuhkan kerjasama lintas sektoral. Dosen Program Studi Ilmu Komunikasi Universitas Amikom Purwokerto berinisiatif menjadi fasilitator dengan bermitra dengan Puskesmas dalam melakukan pengabdian masyarakat sebagai bentuk pelaksanaan Tri Dharma Perguruan Tinggi. Pada kegiatan ini fasilitator menggunakan metode sosialisasi dan pelatihan kepada kader kesehatan tentang bagaimana berkomunikasi secara asertif dengan mengedepankan penerimaan, empati, dukungan dan keterbukaan kepada ibu menyusui. Pelatihan dilakukan selama satu minggu, dan meliputi empat desa yang berada dalam wilayah kerja puskesmas, yaitu Grendeng, Bancarkembar, Sumampir dan Pabuwaran. Pengabdian kepada masyarakat ini mempunyai dampak baik terhadap kader kesehatan dan Puskesmas. Target 90% ibu menyusui memberikan ASI eksklusif akan direview pada akhir tahun 2021. Namun, para kader kesehatan dan Puskesmas merasa lebih percaya diri dapat meyakinkan kepada para ibu menyusui untuk dapat memberikan ASI eksklusif kepada anak-anaknya dan pada gilirannya target tersebut dapat tercapai.
Kata kunci: ASI eksklusif; kerja sama lintas sektoral; komunikasi asertif
Abstract:Abstract: Manual meeting documentation risks losing important information due to cognitive fatigue. Although automated summarization models have evolved, integrated end-to-end systems for Indonesian spoken language remain…
n highly limited. This study aims to design and evaluate an end-to-end automated meeting summarization architecture that directly integrates Automatic Speech Recognition (ASR) via OpenAI Whisper for transcription and the IndoT5 language model for abstractive summarization. IndoT5 was fine-tuned using a dataset of 486 Indonesian spoken language transcript pairs. Testing was conducted on a CPU infrastructure using MP4, MP3, and WAV formats. Results show the optimal fine-tuning configuration significantly improved accuracy, achieving ROUGE-1 (0.4167), ROUGE-2 (0.1973), and ROUGE-L (0.2701) scores. Computationally, the system achieved a Real-Time Factor below 1, processing data faster than the actual recording duration. Conclusively, integrating Whisper and IndoT5 shows potential in producing coherent meeting summaries with lightweight computational overhead, making it viable for local infrastructure implementation to ensure data privacy.
Keywords: abstractive summarization; ASR; end-to-end pipeline; IndoT5; real-time factor
Abstrak: Dokumentasi rapat manual rentan menghilangkan informasi penting akibat keterbatasan kognitif. Meskipun model peringkas otomatis telah berkembang, implementasi sistem terintegrasi (end-to-end) khusus percakapan lisan berbahasa Indonesia masih sangat terbatas. Penelitian ini bertujuan merancang dan mengevaluasi arsitektur peringkas rapat otomatis end-to-end yang mengintegrasikan langsung Automatic Speech Recognition (ASR) melalui OpenAI Whisper untuk transkripsi dan model bahasa IndoT5 untuk peringkasan abstraktif. Adaptasi domain dilakukan melalui fine-tuning IndoT5 menggunakan 486 pasang dataset transkrip lisan berbahasa Indonesia. Pengujian pada infrastruktur CPU menggunakan format MP4, MP3, dan WAV. Hasil pengujian menunjukkan konfigurasi fine-tuning optimal berhasil meningkatkan akurasi, dengan skor ROUGE-1 (0,4167), ROUGE-2 (0,1973), dan ROUGE-L (0,2701). Sistem mendemonstrasikan efisiensi komputasi dengan nilai Real-Time Factor di bawah 1, mengindikasikan waktu pemrosesan lebih cepat dari durasi rekaman asli. Kesimpulannya, integrasi Whisper dan IndoT5 menunjukkan potensi dalam menghasilkan ringkasan yang koheren dengan beban komputasi ringan, sehingga layak diimplementasikan pada infrastruktur lokal organisasi untuk menjaga privasi data.
Kata kunci: ASR; end-to-end pipeline; IndoT5; peringkasan abstraktif; real-time factor
Abstract:Abstract: SMP Muhammadiyah 5 Samarinda still relies on manual evaluation with limited data analysis tools in predicting student academic achievement. This study aims develop a system for predicting the learning achievement…
nt of students at SMP Muhammadiyah 5 Samarinda using the Naive Bayes classification method. The dataset used consists of 192 student exam scores covering academic scores, attendance, parents’ education and income, and living conditions as independent variables, while the dependent variable is the achievement label (achieved or not achieved). The preprocessing stage includes label normalization, feature selection, and median imputation to handle missing data. The dataset was divided into 75% training data and 25%. The model was implemented as a pipeline consisting of a median imputer and a Gaussian Naive Bayes classifier. The evaluation results showed that the model achieved an accuracy of 79.2%, with a perfect recall value (1.00) in the high-achieving class and (0.64) in the low-achieving class. This shows that the model is quite effective in identifying high-achieving students. The trained model was then integrated into a Flask-based web application, which enables online predictions through a simple form interface, facilitating contextual interpretation. This system is expected to assist in educational decision-making by helping teachers identify students’ achievement levels early on and design more targeted learning interventions.
Keywords: academic performance; educational data mining; naive bayes; prediction system; student achievement
Abstrak: SMP Muhammadiyah 5 Samarinda masih bergantung pada evaluasi manual dengan alat analisis data terbatas dalam melakukan prediksi prestasi akademik siswa. Penelitian ini bertujuan mengembangkan sistem prediksi prestasi belajar siswa SMP Muhammadiyah 5 Samarinda menggunakan metode klasifikasi Naive Bayes. Dataset yang digunakan terdiri atas 192 data nilai ujian siswa yang mencakup skor akademik, kehadiran, pendidikan dan pendapatan orang tua, serta kondisi tempat tinggal sebagai variabel independen, sedangkan variabel dependen berupa label prestasi (berprestasi atau tidak berprestasi). Tahap preprocessing meliputi normalisasi label, seleksi fitur, serta imputasi median untuk menangani data yang hilang. Dataset dibagi menjadi 75% data latih dan 25%. Model diimplementasikan dalam bentuk pipeline yang terdiri atas median imputer dan Gaussian Naive Bayes classifier. Hasil evaluasi menunjukkan bahwa model mencapai akurasi sebesar 79,2%, dengan nilai recall sempurna (1,00) pada kelas berprestasi dan lebih rendah (0,64) pada kelas tidak berprestasi. Hal ini menunjukkan bahwa model cukup efektif dalam mengidentifikasi siswa berprestasi. Model yang telah dilatih kemudian diintegrasikan ke dalam aplikasi web berbasis Flask, yang memungkinkan prediksi secara daring melalui antarmuka formulir sederhana untuk mendukung interpretasi kontekstual. Sistem ini diharapkan dapat membantu untuk pengambilan keputusan dalam pendidikan dengan membantu guru mengidentifikasi tingkat prestasi siswa sejak dini dan merancang intervensi pembelajaran yang lebih terarah.
Kata kunci: prestasi akademik; penambangan data Pendidikan; naive bayes; sistem prediksi; prestasi siswa
Abstract:Abstract: The policy to increase the Rural and Urban Land and Building Tax (PBB-P2) in Indonesia often elicits mixed reactions from the public. Some support it because they believe it can strengthen regional fiscal capacity,…
ity, while others reject it because they are concerned that it will increase the economic burden on the community. Understanding public sentiment towards this policy is important for evaluating the effectiveness of the policy and formulating appropriate communication strategies. This study aims to analyze public sentiment towards the PBB-P2 increase policy using data uploaded on Platform X (Twitter). The data were collected through crawling with the keyword “building tax,” then processed through several preprocessing stages before classifying tweets into positive and negative sentiments. Two models were used: Support Vector Machine (SVM) and Bidirectional Long Short-Term Memory (BiLSTM). Results show that SVM outperformed BiLSTM, achieving training accuracy of 99.4% and testing accuracy of 85.9%, with accuracy 0.8595, precision 0.8536, recall 0.8595, and F1-score 0.8449. Meanwhile, BiLSTM achieved training accuracy of 86.9% and testing accuracy of 82.9%, with accuracy 0.8294, precision 0.8150, recall 0.8294, and F1-score 0.8080. These findings suggest SVM is more effective in classifying public sentiment and can support better evaluation of regional tax policies.
Keywords: sentiment analysis; PBB-P2; BiLSTM; SVM; X platform
Abstrak: Kebijakan kenaikan tarif Pajak Bumi dan Bangunan Perdesaan dan Perkotaan (PBB-P2) di In-donesia sering memunculkan beragam reaksi dari masyarakat. Sebagian mendukung karena dianggap dapat memperkuat kapasitas fiskal daerah, sementara lainnya menolak karena kha-watir menambah beban ekonomi masyarakat. Pemahaman terhadap sentimen publik atas ke-bijakan tersebut penting untuk mengevaluasi efektivitas kebijakan dan merumuskan strategi komunikasi yang tepat. Penelitian ini bertujuan menganalisis sentimen masyarakat terhadap kebijakan kenaikan PBB-P2 menggunakan data unggahan di Platform X (Twitter). Data dik-umpulkan melalui proses crawling dengan kata kunci “pajak bangunan” kemudian diproses melalui beberapa tahap preprocessing sebelum diklasifikasikan menjadi sentimen positif dan negatif. Dua model digunakan dalam penelitian ini, yaitu Support Vector Machine (SVM) dan Bidirectional Long Short-Term Memory (BiLSTM). Hasil penelitian menunjukkan bahwa SVM memiliki kinerja lebih baik dibandingkan BiLSTM, dengan akurasi pelatihan 99,4% dan akurasi pengujian 85,9%. Nilai akurasi 0,8595, precision 0,8536, recall 0,8595, dan F1-score 0,8449. Sementara itu, BiLSTM memperoleh akurasi pelatihan 86,9% dan akurasi pengujian 82,9%, dengan akurasi 0,8294, precision 0,8150; recall 0,8294; dan F1-score 0,8080. Temuan ini menunjukkan bahwa SVM lebih efektif dalam mengklasifikasikan sentimen publik serta dapat mendukung evaluasi kebijakan pajak daerah dengan lebih baik.
Kata kunci: analisis sentimen; PBB-P2; BiLSTM; SVM; platform X