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PENDAMPINGAN MICROTEACHING COMPUTATIONAL THINKING PADA KELOMPOK GURU MTS AL YAKIN SEBAGAI BEST PRACTICE PROSES LITERASI DIGITAL DI SEKOLAH Sa’ida, Ita Aristia; Santi, Nirma Ceisa; Audytra, Hastie; Dirgantoro, Guruh Putro; Wulandari, Devi Ayu
E-Amal: Jurnal Pengabdian Kepada Masyarakat Vol 4 No 3: September-Desember 2024
Publisher : LP2M STP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47492/eamal.v4i3.3552

Abstract

Lack of Computational Thinking in schools can cause problems including lack of problem-solving skills, limited creativity, lack of abstract thinking skills, inability to manage and analyze data, lack of understanding of the implications of technology, and lagging behind in career preparation. Therefore, it is important to strengthen the teaching of Computational Thinking in schools so that students have the skills and understanding needed to face challenges in the digital era. To overcome the problem of lack of Computational Thinking in schools, it is important to improve adequate curriculum, provide training and support to teachers, provide sufficient resources and access to technology, raise awareness of the importance of Computational Thinking, and encourage integration with other subjects. Socialization of Computational Thinking in schools can help prepare students to face an increasingly digital and complex world and can help overcome several problems related to technological developments and competency needs in the digital era. Through the socialization of Computational Thinking, problems such as lack of computational thinking skills, inability to solve complex problems, lack of understanding of the impact of technology, lack of integration of technology in learning, and less than optimal preparation for the digital workplace can be overcome. Thus, students can be better prepared to face challenges and take advantage of opportunities in the ever-evolving digital era
Pendampingan Pembuatan Soal Nahwu dengan Aplikasi Tcexam Bagi Guru Nahwu di Pesantren Adnan Al-Charis Bojonegoro Musyafa’ah, Nurul; Santi, Nirma Ceisa; Hambali, M Ridlwan; Wahyudi, Sunu; Nuha, Muhammad Afthon Ulin
Jurnal SOLMA Vol. 13 No. 3 (2024)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v13i3.16986

Abstract

Background: Pondok Pesantren Adnan Al-Charis (PPAC) merupakan lembaga pendidikan agama Islam yang memiliki sejarah panjang dalam menyebarkan ajaran Islam. Meskipun PPAC telah lama berdiri dan memiliki banyak prestasi dalam bidang kajian kitab turats, pemanfaatan teknologi komputer dan informasi di pondok masih terbatas. Program pengabdian ini bertujuan untuk melakukan pendampingan dan pelatihan pemanfaatan teknologi komputer dan informasi bagi guru nahwu di pesantren tersebut, yang mana selaras dengan misi dari pondok tersebut ialah sebagai pondok yang salaf, modern dan juga inovatif. Metode: Kegiatan yang dilakukan meliputi pelatihan dasar-dasar teknologi informasi dan komputer, pendampingan dalam pemanfaatan teknologi komputer dan informasi untuk mendukung kegiatan belajar-mengajar, serta pelatihan pembuatan soal sekaligus input pada aplikasi TCExam untuk mendukung kegiatan belajar mengajar di pondok tersebut. Hasil: Hasil dari program pengabdian ini menunjukkan adanya peningkatan pemahaman dan keterampilan warga pondok dalam memanfaatkan teknologi komputer dan informasi, peningkatan integrasi dan pemanfaatan teknologi dalam kegiatan belajar-mengajar dan administrasi, serta peningkatan kapasitas pondok dalam melakukan publikasi dan syiar melalui konten digital. Program pengabdian ini dapat menjadi model bagi pondok pesantren lain yang memiliki permasalahan serupa dalam pemanfaatan teknologi informasi dan komputer. Kesimpulan: Meningkatkan kapasitas pondok dalam melakukan publikasi dan syiar melalui konten digital.
IMPLEMENTASI NAÏVE BAYES CLASSIFIER UNTUK ANALISIS SENTIMEN APLIKASI PINJAMAN ONLINE PADA MEDIA SOSIAL TWITTER Azzahra, Shinta May Khoiria; Santi, Nirma Ceisa; Wahyudi, Sunu
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 4 No. 2 (2024): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v4i2.3287

Abstract

Sistem analisis sentimen adalah sistem yang digunakan untuk melakukan proses analisis otomatis pada tweet aplikasi pinjaman online berbahasa Indonesia untuk mendapatkan informasi termasuk informasi sentimen yang menjadi bagian dari tweet tersebut. Data tersebut diklasifikasikan dengan menggunakan Naive Bayes. Sistem analisis sentimen dibagi menjadi 5 (lima) tahap, yaitu scraping, pre-processing, pembobotan kata, pembangunan model dan klasifikasi sentimen. Metode TF-IDF (Term Frequency - Inverse Document Frequency) digunakan untuk pembobotan kata. Data yang ada akan diklasifikasikan menjadi 2 (dua) kelas positif dan negatif. Hasil pengujian dengan 500 data dari tweet aplikasi Kredivo menunjukkan bahwa pada pengujian 2 kelas (negatif dan positif) didapatkan hasil terbaik pada 90% data latih dan 10% data uji dengan nilai akurasi sebesar 91,12%.
Peramalan Penjualan Semen Menggunakan Metode Single Moving Average dan Double Moving Average Yuliana, Nur Lutfi; Santi, Nirma Ceisa; Mahmudah, Nur
JURIKOM (Jurnal Riset Komputer) Vol 12, No 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8537

Abstract

UD. Kurnia Makmur is a shop that sells various building materials including cement. Previously, the shop UD. Kurnia Makmur still had difficulty in determining the amount of cement stock that should be provided, UD. Kurnia Makmur often also experiences shortages or excess stock due to the rise and fall of inconsistent market demand. Therefore, a forecasting method is needed that can help make better decisions in estimating the amount of cement stock that must be provided. The method used to predict cement stock in this study is the single moving average and double moving average methods. The purpose of this forecasting study is for the company to know the amount that must be provided according to consumer demand for cement sales and to know the accuracy between the single moving average and double moving average methods. Because the previous journal showed that both methods produced a MAPE of less than 10% where, it can be interpreted that if the MAPE is less than 10% then the forecast is very good. In calculating the accuracy of this study using MAD (Mean Absolute Percentage Error) and MAPE (Mean Absolute Percentage Error) using Microsoft Excel as the calculation tool. After being calculated using Microsoft Excel, the results obtained in the study were MAD of 30.72 and MAPE of 2.0% for the single moving average, while the double moving average produced MAD of 19.0 and MAPE of 1.24%.
Penerapan Framework Scrum Dalam Perancangan Sistem Pengelolaan Member Sport44 Gym Waralungli, Julang; Santi, Nirma Ceisa
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 5 No. 2 (2025): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v5i2.5272

Abstract

This research discusses the design of a digital-based member management system using the Scrum framework at Sport44 Gym, a fitness center located in Bojonegoro. The problem arises from the manual management of member data, class schedules, financial transactions, and supplement sales, which often leads to inefficiencies and data errors. This study aims to provide an integrated and interactive solution through a system that supports online registration, membership renewal, schedule access, payments, and supplement purchases via mobile and web platforms. Using the Scrum method, development was carried out in several sprints, with continuous User feedback and improvements at each stage. The tools used in system design included UML, Figma for UI/UX design, and Useberry for usability testing. The final result is a functional prototype that enhances User experience and supports better operational efficiency at Sport44 Gym.
Perancangan Desain User Interface Pada Sistem Registrasi Pasien Di Rumah Sakit Graha Husada Putri, Siti Yuliana; santi, nirma ceisa; Rokhim, Auliyaur
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 5 No. 1 (2025): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v5i1.5526

Abstract

Technology is currently a tool for society, especially in public services, one of these public services is in the health sector. In the health sector, several health services such as clinics, hospitals and other health facilities have implemented technology to support their operational activities. Currently, many hospitals use computer-based systems to identify patients. One of them is a registration information system that makes services more efficient and effective. This research aims to design a user interface for a website-based patient registration system using the Design Thinking method. The result of this research is a prototype design. The second stage above is applied to the prototype stage which is used as an example of the Ul display for the hospital patient registration application that will be developed. Based on Usability Testing using Google from and distributing online questionnaires. Of the 11 respondents testing the admin and user sections, the results from the respondents were 90%, These results indicate that almost all users are satisfied with the prototype design and the results of these respondents state that the patient registration website prototype is easy to use.
Implementasi Peramalan Stok Parfum Pada Imshop Parfum dengan Metode Weighted Moving Average Nur’aini, Zulfiana; Santi, Nirma Ceisa; Mahmudah, Nur; Barata, Mula Agung
Jurasik (Jurnal Riset Sistem Informasi dan Teknik Informatika) Vol 10, No 2 (2025): Edisi Agustus
Publisher : STIKOM Tunas Bangsa Pematangsiantar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30645/jurasik.v10i2.894

Abstract

Humans are social creatures who need to communicate with each other. In this regard, it is necessary to provide comfort in a conversation. To provide this comfort, you can use perfume. Imshop Parfum is a shop that sells various choices of perfume scents, but of the various types of perfumes sold, of course there are perfumes that are the most popular and rarely purchased, this is certainly a problem if the stock of the item runs out or provides too much stock. The purpose of this study is to predict the stock of goods at Imshop Parfum. The method used in this study is the Weighted Moving Average with periods 3 and 5. The forecast results from the perfume study in June 2025 were 215 for period 3, and 212.86 for period 5. MAPE is 1.98% for period 3, and the MAPE value is 2.74% for period 5. It can be concluded that period 3 is the best and most accurate result because it has the smallest MAPE value.
Penerapan Metode Naïve Bayes pada Sistem Seleksi Penerima Bantuan Bedah Rumah Prastianti, Erlinda Nofa; Santi, Nirma Ceisa
Multidisciplinary Applications of Quantum Information Science (Al-Mantiq) Vol. 3 No. 2 (2023): Multidisciplinary Applications of Quantum Information Science (Al-Mantiq)
Publisher : Al-Mantiq

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32665/almantiq.v2i2.2005

Abstract

Home renovation is a succor given by the government for poor people to relieve their economics burden. Of CV Garuda Metta Consultant have team work there are with Dinas Cipta Karya and Dinas Bina Marga In Tambakrejo, Bojonegoro City, there is succor that coming from the region and the institution itself. The succor can be obtained if the candidates are suitable with the requirements and the criteria, such as land floor, bamboo wall, and unsafe roof condition. In addition, the criteria also specified on family income, land area of the house, and number of families. To select the candidates who get a chance of house renovation. This study will make a decision support system to help the get of home renovation receivers by the government in Sambirejo that using Naïve Bayes method. The purpose of this research is to provide suggestion for the priority of receivers of home renovation and to help the selectors in order that the receivers of home renovation in the Tambakrejo, Bojonegoro City in line with the target. This result of this research is a decision support system for the determination of the home renovation recipients based on defined criteria.
Peramalan Penjualan Semen Menggunakan Metode Single Moving Average dan Double Moving Average Yuliana, Nur Lutfi; Santi, Nirma Ceisa; Mahmudah, Nur
JURNAL RISET KOMPUTER (JURIKOM) Vol. 12 No. 3 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v12i3.8537

Abstract

UD. Kurnia Makmur is a shop that sells various building materials including cement. Previously, the shop UD. Kurnia Makmur still had difficulty in determining the amount of cement stock that should be provided, UD. Kurnia Makmur often also experiences shortages or excess stock due to the rise and fall of inconsistent market demand. Therefore, a forecasting method is needed that can help make better decisions in estimating the amount of cement stock that must be provided. The method used to predict cement stock in this study is the single moving average and double moving average methods. The purpose of this forecasting study is for the company to know the amount that must be provided according to consumer demand for cement sales and to know the accuracy between the single moving average and double moving average methods. Because the previous journal showed that both methods produced a MAPE of less than 10% where, it can be interpreted that if the MAPE is less than 10% then the forecast is very good. In calculating the accuracy of this study using MAD (Mean Absolute Percentage Error) and MAPE (Mean Absolute Percentage Error) using Microsoft Excel as the calculation tool. After being calculated using Microsoft Excel, the results obtained in the study were MAD of 30.72 and MAPE of 2.0% for the single moving average, while the double moving average produced MAD of 19.0 and MAPE of 1.24%.