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All Journal Cakrawala Pendidikan TEKNOLOGI INFORMASI Jurnal Ilmiah Rekayasa dan Manajemen Sistem Informasi Network Engineering Research Operation [NERO] JOURNAL OF SCIENCE AND APPLIED ENGINEERING Indonesian Journal of Applied Informatics Industri Inovatif : Jurnal Teknik Industri Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Infotek : Jurnal Informatika dan Teknologi Sinteks SKANIKA: Sistem Komputer dan Teknik Informatika JURNAL PERMADI: PERANCANGAN, MANUFAKTUR, MATERIAL DAN ENERGI Industrial Research Workshop and National Seminar Journal of Student Research Jurnal Pedagogi Matematika International Journal of Educational Development E-Amal: Jurnal Pengabdian Kepada Masyarakat Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat
Ali Mahmudi
Institut Teknologi Nasional Malang
Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Public Health Social Sciences Other

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The Effectiveness of Blended Learning Examined Critical Thinking and Mathematics Learning Independence for High School Students Aswar Aswar; Ali Mahmudi
International Journal of Educational Development Vol. 2 No. 1 (2025): International Journal of Educational Development
Publisher : Asosiasi Periset Bahasa Sastra Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61132/ijed.v2i1.167

Abstract

This study was aimed to describe: (1) the effectiveness of learning with a blended learning model using scientific (2) the effectiveness of scientific approach; and (3) the difference in the effectiveness of learning with a blended learning model using scientific approach and learning using scientific approach in terms of critical thinking, and learning independence of mathematics students in high school. The research type is quasi-experiment. The population was all 11th grade students of SMA in semester II of 2024/2025. The sample was established randomly consisting of class XI MIA 2 as the experiment class and XI MIA 1 as the control class. The data collection method uses research instruments in the form of a Learning Independence Test of 15 multiple choice questions, a Critical Thinking Test of 4 descriptive questions, and a Learning Independence Questionnaire of 20 statement, administered as pretests and posttests. To assess the effectiveness of blended learning with a scientific approach and the scientific approach alone, a one-sample mean vector test was conducted, followed by a one-sample t-test. Differences in effectiveness were analyzed using an independent two-sample mean vector test (T² Hotelling). If analysis revealed significant differences between the two classes, an independent sample t-test for comparison was conducted. The results showed that: (1) learning with blended learning model using scientific approach is effective in terms of critical thinking, and independence of learning mathematics of high school students; (2) learning using scientific approach is effective in terms of critical thinking, and independence of learning mathematics of high school students; and (3) learning with blended learning model using scientific approach is more effective than learning using scientific approach in terms of critical thinking, and independence of learning mathematics of high school students.
Klasterisasi Daerah Rawan Bencana Alam Menggunakan Algoritma K-Means Michael Kevin Adinata; Ali Mahmudi; Yosep Agus Pranoto
Infotek: Jurnal Informatika dan Teknologi Vol. 8 No. 1 (2025): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v8i1.28196

Abstract

East Java is a province with high vulnerability to disasters, such as floods, landslides, earthquakes, and strong winds, which have an impact on material losses, casualties, and deterioration of socio-economic conditions, especially in rural areas. The lack of mitigation strategies and resource allocation worsens disaster management. This study aims to classify disaster data using the K-Means algorithm to overcome the limitations of descriptive analysis conducted by BPBD East Java. The data used includes 1125 disaster events with variable disaster frequency, total damage, and the number of casualties per sub-district in East Java districts and cities during 2021-2022, obtained from the official website of the East Java BPBD. The K-Means algorithm was chosen because of its efficiency in managing big data and its flexibility in cluster formation. The results of the study show that in 2021, the region in East Java is divided into three clusters based on the level of disaster risk: Cluster 1 (low risk) with 192 sub-districts, Cluster 2 (medium risk) with 35 sub-districts, and Cluster 3 (high risk) with 10 sub-districts. In 2022, significant changes were seen in Cluster 1, which includes 462 sub-districts, Cluster 2 with 20 sub-districts, and Cluster 3 with 11 sub-districts. The results of this study are expected to support the government's decision-making priorities, especially in disaster management and resource allocation based on risk levels
Mengembangkan Kemampuan Belajar Dengan Strategi Pembelajaran Peningkatan Kemampuan Berfikir M. Rois Huda Hidayatullah; Anif Khoiril Umam; Ali Mahmudi; Heny Kusmawati
Journal of Student Research Vol. 1 No. 1 (2023): Januari: Journal of Student Research
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jsr.v1i1.982

Abstract

Proses pembelajaran melalui strategi pembelajaran peningkatan kemampuan berfikir (SPPKB) menekankan pada proses mental siswa secara maksimal . artinya setiap aktivitas belajar itu disebabkan tidak hanya peristiwa korelasi stimulus-respons saja, namun juga ditimbulkan karena dorongan mental yang diatur oleh otaknya. dengan adanya strategi pembelajaran peningkatan kemampuan berfikir (SPPKB) lebih simpel menyampaikan informasi baru yang akan mampu ditangkap lebih mudah oleh siswa, manakala siswa dapat mengorganisasikannya dengan pe¬ngetahuan yang telah mereka miliki.
Pelatihan Website Desa di Desa Moronyamplung - Lamongan Ali Mahmudi; Ahmad Farudi S; Budi Fathony; Michael Ardita
Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat Vol. 1 No. 1 (2023): Dharma Nusantara: Jurnal Ilmiah Pemberdayaan dan Pengabdian kepada Masyarakat
Publisher : LPPM Universitas Bhinneka Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/dharma.v1i1.821

Abstract

Desa Moronyamplung adalah desa yang berada di kecamatan Kembangbahu, Kabupaten Lamongan, Jawa Timur, Indonesia. Desa Moronyamplung memiliki Wana Wisata dan Perkemahan Bumi Moronyamplung. Di area wana wisata ini juga terdapat makam Dewi Gambir Wati, putri bangsawan Raja Mojopahit Prabu Brawijaya V. Warga desa Moronyamplung berkeinginan untuk memperkenalkan keindahan wana wisata dan perkemahan desa tersebut kepada khalayak ramai melalui dunia maya. Hal ini tercermin dari harapan kepala desa Moronyamplung. Berdasarkan hal ini, maka dilakukan pengabdian masyarakat berupa pelatihan pembuatan website desa. Pelaksanaan pengabdian masyarakat ini diharapkan dapat meningkatkan kemampuan warga desa pada umumnya dan perangkat desa pada khususnya dalam mempromosikan dan memperkenalkan Wana Wisata dan Perkemahan Bumi Moronyamplung melalui dunia maya.
Implementasi Algoritma Genetika untuk Penjadwalan Praktikum Laboratorium Legming Dwi Anggraini; Ali Mahmudi; Yosep Agus Pranoto
IJAI (Indonesian Journal of Applied Informatics) Vol 9, No 2 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v9i2.95560

Abstract

Abstrak : Penjadwalan praktikum laboratorium untuk membagi asisten sebagai pengajar dan pendamping berdasarkan ketersediaannya masih dilakukan secara manual menggunakan microsoft excel sehingga rawan terjadi kesalahan dan memerlukan waktu yang lebih. Sistem penjadwalan algoritma genetika dibuat guna membantu proses penjadwalan agar lebih efisien. Proses penjadwalan praktikum menggunakan algoritma genetika dengan kriteria asisten harus dijadwalkan sebagai pengajar maupun pendamping dalam keadaan tersedia. Dalam penelitian ini, parameter-parameter yang digunakan yaitu ukuran populasi sebanyak 20 individu dalam 50 generasi, serta nilai probabilitas crossover yang digunakan 0.8 dan probabilitas mutasi sebesar 0.1 yang mana menghasilkan nilai fitness 0.5 pada generasi terakhir.  Nilai fitness ini merepresentasikan tingkat optimalitas solusi, di mana semakin tinggi nilai fitness, semakin sedikit pelanggaran terhadap kriteria penjadwalan. Dalam penelitian ini, nilai fitness 0.5 menunjukkan bahwa hanya terdapat 1 pelanggaran dari total 18 penempatan, sehingga menghasilkan nilai akurasi penjadwalan sebesar 94.44%.==================================================Abstract : Scheduling laboratory practicals to divide assistants as teachers and assistants based on availability is still done manually using Microsoft Excel so it is prone to errors and requires more time. The genetic algorithm scheduling system was created to help the scheduling process become more efficient. The practicum scheduling process uses a genetic algorithm with the criteria that assistants must be scheduled as teachers or assistants when available. In this research, the parameters used are a population size of 20 individuals in 50 generations, as well as a crossover probability value of 0.8 and a mutation probability of 0.1, which produces a fitness value of 0.5 in the last generation. This fitness value represents the level of optimality of the solution, where the higher the fitness value, the fewer violations of the scheduling criteria. In this research, a fitness value of 0.5 indicates that there was only 1 violation out of a total of 18 placements, resulting in a scheduling accuracy value of 94.44%
Pengembangan Chatbot Penyakit Ringan Menggunakan Metode Long Short-Term Memory Esa Arya Mahardika; Ali Mahmudi; Suryo Adi Wibowo
IJAI (Indonesian Journal of Applied Informatics) Vol 9, No 2 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v9i2.95564

Abstract

Abstrak : Penyakit merupakan salah satu masalah bagi manusia baik penyakit ringan lebih-lebih penyakit kronis. Manusia telah mempelajari tentang bagaimana menangani permasalahan penyakit dari zaman ke-zaman demi kesejahteraan manusia. Seiring waktu populasi manusia bertambah dan penyakit semakin banyak baik yang dapat diobati maupun tidak sehingga manusia membangun fasilitas-fasilitas kesehatan. Tujuan penelitian ini supaya dapat memaksimalkan pelayanan IKS An-Nur II di luar jam kerja dokter. Penulis menggunakan AI Project Cycle untuk proses pembuatan chatbot, menggunakan pendekatan Natural Language Processing untuk interaksi dengan pengguna, dan algoritma Long Short-Term Memory untuk membuat model dengan melibatkan pengembangan melalui framework Flask. Hasil evaluasi menunjukkan bahwa model yang dihasilkan memiliki nilai training loss sebesar 12,35%, yang mengindikasikan tingkat error yang rendah pada data pelatihan, serta training accuracy sebesar 100%, menandakan model telah belajar pola data pelatihan dengan sangat baik. Pada data validasi, model mencapai validation loss sebesar 42,44% dan validation accuracy sebesar 94,44%. Nilai validation accuracy yang tinggi menunjukkan kemampuan model dalam menghasilkan respons yang relevan terhadap data baru. Hasil akurasi yang tinggi menjadikan chatbot mampu menjawab pertanyaan dengan akurasi cukup baik.====================================================Abstract :Disease is one of the problems for humans, whether it is a mild disease or a chronic disease. Humans have learned about how to deal with disease problems from time to time for the sake of human welfare. Over time the human population increases and more and more diseases both treatable and not so humans build health facilities. The purpose of this research is to maximize the services of IKS An-Nur II outside of doctor's working hours. The author uses the AI Project Cycle for the chatbot creation process, using the Natural Language Processing approach for interaction with users, and the Long Short-Term Memory algorithm to create models by involving development through the Flask framework. The evaluation results show that the resulting model has a training loss of 12.35%, indicating a low error rate in the training data, and a training accuracy of 100%, indicating that the model has learned the training data patterns very well. On the validation data, the model achieved a validation loss of 42.44% and a validation accuracy of 94.44%. High validation accuracy scores indicate the model's ability to generate relevant responses to new data. The high accuracy results make the chatbot capable of answering user questions with high accuracy.
Implementasi Sistem Peramalan Penjualan Produk Makanan Menggunakan Metode Double Exponential Smoothing Berbasis Web (Studi Kasus: Rumah Makan Kedai Mily, Banyuwangi) Stefhanny Marshanda Salsabella; Sentot Achmadi; Ali Mahmudi
Jurnal Ilmiah ILKOMINFO - Ilmu Komputer & Informatika Vol 9, No 1 (2026): Januari
Publisher : Akademi Ilmu Komputer Ternate

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47324/ilkominfo.v9i1.413

Abstract

Abstrak: Pesatnya perkembangan usaha kuliner membuat Kedai Mily perlu memiliki alat bantu untuk memperkirakan jumlah penjualan agar stok dan kegiatan operasional dapat dikelola dengan lebih baik. Penelitian ini merancang sebuah sistem berbasis web untuk melakukan estimasi penjualan menggunakan metode Double Exponential Smoothing (DES), karena metode ini mampu membaca pola data penjualan yang menunjukkan tren. Sistem dibangun menggunakan framework Laravel dan dilengkapi fitur pengolahan data menu, transaksi, penjualan, serta proses peramalan. Pengujian dilakukan menggunakan teknik black-box untuk memverifikasi bahwa setiap fitur aplikasi beroperasi sesuai rancangan. Berdasarkan temuan yang diperoleh perhitungan menggunakan nilai alpha 0,1, diperoleh Mean Absolute Percentage Error (MAPE) sebesar 20,46%, yang menandakan bahwa ketepatan hasil peramalannya masih berada pada tingkat yang dapat diterima. Sistem ini terbukti membantu Kedai Mily dalam menyajikan data penjualan secara lebih terstruktur, meminimalkan kesalahan pencatatan manual, serta mendukung pengambilan keputusan operasional secara lebih baik.Kata kunci: peramalan penjualan, double exponential smoothing, sistem web, Kedai Mily, MAPEAbstract: The rapid growth of the culinary industry requires Kedai Mily to have a reliable tool for estimating sales quantities so that stock management and operational activities can be handled more efficiently. This study designs a web-based system for predicting sales using the Double Exponential Smoothing (DES) method, which is suitable for identifying trend patterns in historical sales data. The system is developed using the Laravel framework and equipped with features for managing menu data, transactions, sales records, and the forecasting process. System evaluation is carried out using the black-box testing technique to ensure that all functionalities operate according to the intended design. Based on the results obtained using an alpha value of 0.1, the forecasting process produces a Mean Absolute Percentage Error (MAPE) of 20.46%, indicating that the prediction accuracy remains within an acceptable range. The system supports Kedai Mily by presenting sales information in a more organized manner, reducing manual recording errors, and assisting in operational decision-making.Keywords: sales forecasting, double exponential smoothing, web-based system, Kedai Mily, MAPE
RANCANG BANGUN SISTEM PERAMALAN PENJUALAN ES KRIM DENGAN METODE DOUBLE EXPONENTIAL SMOOTHING (STUDI KASUS :CV ALDY ABADI JAYA, MUARA WAHAU) Viramadita Arthamia Putri; Sentot Achmadi; Ali Mahmudi
SKANIKA: Sistem Komputer dan Teknik Informatika Vol 9 No 1 (2026): Jurnal SKANIKA Januari 2026
Publisher : Universitas Budi Luhur

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36080/skanika.v9i1.3618

Abstract

The ice cream sales agent CV Aldy Abadi Jaya in Muara Wahau faces challenges in forecasting daily fluctuating ice cream demand. Inaccurate stock estimation often leads to excess or shortage of inventory, requiring an effective strategy to balance supply and demand. This study aims to design and develop a web-based sales forecasting system using the Double Exponential Smoothing (DES) method. This method was chosen because it can provide accurate predictions for data with a trend pattern. The research utilizes historical sales data of ice cream from CV Aldy Abadi Jaya. The system was developed using the Laravel framework and MySQL database. It automatically performs sales forecasting calculations and displays the results through an interactive dashboard that helps users interpret prediction outcomes easily. The results show an accuracy level and Mean Absolute Percentage Error (MAPE) value of 13,83%, indicating that the Double Exponential Smoothing method can generate reliable forecasts for future sales. The developed system is expected to help the company plan stock more effectively, reduce the risk of losses, and improve efficiency in the ice cream distribution process..
Co-Authors Achmat Eko Prasetio Ahmad Farudi S Andre Afni A F Anggiana Nayang Gita Anif Khoiril Umam Anisa Safitri Arviezabil Yusuf Aswar Aswar Briyan N.S. Budi Fathony Budi Setiadi Desy Eka Kusyanti Ellysa Nursanti Esa Arya Mahardika Fauzan Masykur Ferida Dwi Prasetyoningrum Fuad Achmadi Hanifah Aabidah Fakhrunnisaa Haryadi Hilmi Dhiya Ulhaq Jasmani, Jasmani JUNIANTO JUNIANTO Kadek Dinda Oktavianty Kusmawati, Heny Legming Dwi Anggraini LISA FEBRIANTI M. Rois Huda Hidayatullah Michael Ardita Michael Kevin Adinata Moh. Miftakhur Rokhman Nyoman Krismonda W Putri Solekhah Qorina Ulil Azmi Redi Tian Kustiawan Rizal Rahman Sandy Nataly Sentot Achmadi setiawan, Dibyo Sibut Sibut Silvina Ambarwati Sri Wulan R Stefhanny Marshanda Salsabella Sugianto Sumanto Sumanto Sumanto Sumanto Sumanto Suryo Adi Wibowo Syahrul Fikri I M Utari Sumarmo Viramadita Arthamia Putri Yosep Agus Pranoto Yudita Rasma Aminati