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All Journal dCartesian: Jurnal Matematika dan Aplikasi AKSIOMA: Jurnal Program Studi Pendidikan Matematika JIPM (Jurnal Ilmiah Pendidikan Matematika) Jurnal Edukasi Matematika dan Sains Science and Technology Indonesia Jurnal Basicedu SCAFFOLDING: Jurnal Pendidikan Islam dan Multikulturalisme Imajiner: Jurnal Matematika dan Pendidikan Matematika Pelita Eksakta ILKOMNIKA: Journal of Computer Science and Applied Informatics Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Basicedu d'Cartesian: Jurnal Matematika dan Aplikasi Indonesian Journal of Statistics and Its Applications
Permana, Dony
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Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Education Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Physics Social Sciences Other

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PEMETAAN KETIMPANGAN FASILITAS PENDIDIKAN DI KABUPATEN PADANG PARIAMAN MENGGUNAKAN K-MEANS CLUSTERING Mardhatillah, Aulia Nurul; Permana, Dony
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 6 No. 1 (2025): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v6i1.921

Abstract

Differences in educational facilities can influence access to education and the quality of education in a region. The aim of this study is to map the distribution of educational facilities in Padang Pariaman Regency using the K-Means Clustering method. Data were obtained from Badan Pusat Statistik (BPS) which includes the number of schools in each district. The analysis determined the optimal number of Clusters through the Silhouette Score, then Clustered districts based on the characteristics of educational facilities. The results showed that two main Clusters were identified, Cluster 1 comprised the districts with poor educational facilities and Cluster 2 included those with better educational facilities. Comparing this with the school-age population shows several districts having a large number of school-age residents in Cluster 1, implying an uneven distribution of educational facilities. Thus, it calls for policies that would equalize educational facilities more particularly in districts where there is high demand but limited access to those facilities. Among the recommendations is the construction of new schools, the upgrading of existing ones, and access to private institutions to improve access to education. Future research should also consider economic conditions, the number of educators, and the quality of educational facilities to draw more comprehensive policy recommendations.
PERBANDINGAN METODE DOUBLE MOVING AVERAGE DAN DOUBLE EXPONENTIAL SMOOTHING (BROWN) TERHADAP TINGKAT PENGANGGURAN TERBUKA DI KOTA PADANG PANJANG Fishuri, Nufhika; Ikhsan, Easbi; Fitri, Fadhilah; Permana, Dony
Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Vol. 6 No. 1 (2025): Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistik
Publisher : LPPM Universitas Bina Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46306/lb.v6i1.945

Abstract

Unemployment occurs because of a mismatch between the demand for jobs and job seekers' qualifications. Many job vacancies require diploma or degree graduates, so unemployment is one of the problems faced by Padang Panjang City. To overcome TPT in Padang Panjang City, one of them needs to do forecasting to see how the TPT rate will occur in the coming year. This research uses a forecasting method by comparing the Double Moving Average (DMA) and Double Exponential Smoothing (DES) forecasting values of the unemployment rate in Padang Panjang City from 2006 to 2023. This forecasting is done to provide insight into the condition of the workforce in Padang Panjang City in the future. The forecasting results show that in 2024, there will be an increase of 0.42%, and for the next 2 years, there will be a decrease.
The Locating Chromatic Number of the Cyclic Chain Graph Abel, Latifa Azhar; Welyyanti, Des; Yulianti, Lyra; Permana, Dony
Science and Technology Indonesia Vol. 10 No. 3 (2025): July
Publisher : Research Center of Inorganic Materials and Coordination Complexes, FMIPA Universitas Sriwijaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26554/sti.2025.10.3.958-962

Abstract

The locating chromatic number of graph G (χL(G)) combines the idea of the partition dimension and the chromatic number by considering the locations of the vertices of graph G. Let (Cni, m) be a cyclic chain graph, namely a group of blocks in the form of a cycle graph Cn1(1), Cn2(2), ···, Cni(i). The ni is the number of vertices on the i-th cycle, and m is the number of cycles, for ni ≥ 3, 1 ≤ i ≤ m, and m ≥ 2, and the vertex vi,⌈ni/2⌉+1 in Cni(i) is identified with the vertex vi,⌈ni/2⌉+1 in Cni+1(i+1). In this research, we determine χL(Cni, m) for ni ≥ 3, 1 ≤ i ≤ m, and m ≥ 2.
Analisis Pola Curah Hujan Di Kota Bengkulu Menggunakan Model Rantai Markov Mawaddah, Nurul; Permana, Dony; Amalia, Nonong; Salma, Admi
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 7, No 4 (2025): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v7i4.23892

Abstract

Curah hujan merupakan komponen penting dalam sistem iklim tropis yang berperan dalam menjaga keseimbangan ekosistem serta mendukung sektor pertanian, perikanan, transportasi, dan mitigasi bencana hidrometeorologi. Kota Bengkulu sebagai wilayah pesisir di barat Pulau Sumatera memiliki karakteristik curah hujan yang fluktuatif. Penelitian ini bertujuan untuk menganalisis pola transisi curah hujan harian di Kota Bengkulu tahun 2023 menggunakan model rantai Markov. Penelitian dilakukan dengan pendekatan kuantitatif deskriptif menggunakan data curah hujan harian dari Stasiun Meteorologi Fatmawati Soekarno Bengkulu selama periode 1 Januari hingga 31 Desember 2023. Tahapan analisis meliputi analisis deskriptif, kategorisasi data berdasarkan intensitas hujan, penyusunan tabel frekuensi dan peluang transisi, pembentukan matriks transisi, perhitungan peluang transisi n-step, serta penentuan kondisi steady state. Hasil penelitian menunjukkan bahwa hujan ringan merupakan kondisi yang paling dominan dengan peluang stabil sebesar 89,33%, disusul oleh hujan sedang (8,33%) dan hujan lebat (2,34%). Peluang transisi terbesar terjadi pada hujan ringan yang tetap hujan ringan sebesar 90,2%, sedangkan transisi ke hujan sedang dan lebat masing-masing sebesar 7,5% dan 2,3%. Temuan ini mengindikasikan bahwa Kota Bengkulu cenderung mengalami hujan ringan secara konsisten, sementara intensitas hujan yang lebih tinggi terjadi secara sporadis. Hasil ini bermanfaat dalam mendukung pengelolaan sumber daya air, mitigasi risiko bencana, serta perencanaan adaptasi perubahan iklim di wilayah pesisir.
Peramalan Harga Emas Menggunakan Fuzzy Time Series-Markov Chain Putri, Eno Dwi; Permana, Dony; Syafriandi, Syafriandi; Fitri, Fadhilah
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 7, No 4 (2025): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v7i4.23893

Abstract

Emas dikenal sebagai instrumen investasi andal dalam menghadapi inflasi dan ketidakpastian ekonomi global. Namun, karakteristik data harga emas yang tidak linier dan fluktuatif menjadikannya sulit diprediksi. Penelitian ini bertujuan untuk meramalkan harga emas harian di Indonesia menggunakan metode Fuzzy Time Series-Markov Chain (FTSMC) berdasarkan data periode 1 Januari hingga 13 Juni 2025 sebanyak 118 observasi. Metode FTSMC menggabungkan teori himpunan fuzzy untuk menangani ketidakpastian linguistik dan model rantai Markov dalam memetakan transisi probabilistik antar kondisi harga. Pemodelan dilakukan menggunakan bahasa pemrograman Python, sedangkan evaluasi akurasi menggunakan Mean Absolute Percentage Error (MAPE). Hasil peramalan menunjukkan tren penurunan harga emas secara bertahap selama tujuh hari ke depan, yang mengindikasikan fase koreksi setelah tren kenaikan sebelumnya. Model FTSMC menunjukkan tingkat akurasi sangat tinggi dengan nilai MAPE sebesar 1,10%. Hasil ini konsisten dengan penelitian sebelumnya yang menerapkan pendekatan serupa dan menunjukkan kapabilitas model dalam menginterpretasi serta beradaptasi terhadap dinamika data harga komoditas. Penelitian ini terbatas pada peramalan jangka pendek dan data univariat. Penelitian lanjutan disarankan untuk mempertimbangkan variabel makroekonomi lain seperti suku bunga dan nilai tukar. Kebaruan penelitian terletak pada penerapan metode FTSMC terhadap data harga emas terkini di Indonesia dengan akurasi tinggi, yang dapat mendukung pengambilan keputusan investasi secara praktis.
Analisis Kinerja Model Long Short Term Memory dengan Adaptive Moment Estimation dalam Memprediksi Harga Crude Palm Oil Hamida, Zilfa; Amalita, Nonong; Permana, Dony; Zilrahmi, Zilrahmi
ILKOMNIKA Vol 7 No 2 (2025): Volume 7, Number 2, August 2025
Publisher : Lembaga Penelitian dan Pengabdian Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28926/ilkomnika.v7i2.766

Abstract

Crude Palm Oil (CPO) merupakan salah satu minyak nabati terpenting dan paling signifikan yang di perdagangkan secara global. Harga CPO mengalami fluktuasi hampir setiap harinya yang memberikan resiko besar bagi pelaku industri kelapa sawit seperti petani, konsumen, produsen, serta investor. Sehingga diperlukan analisis prediksi untuk meminimalisir kerugian. Dalam penelitian ini, metode yang digunakan yaitu Long Short Term Memory (LSTM) yang dioptimasi dengan Adaptive Moment Estimation (Adam) untuk melakukan prediksi harga CPO berdasarkan data historis harga CPO tahun 2020-2024. Model LSTM yang dioptimasi menggunakan Adam Optimizer dan dievaluasi berdasarkan nilai Mean Absolut Percentage Error (MAPE). Hasil penelitian menunjukkan bahwa model LSTM dengan kombinasi parameter jumlah neuron 6, batch size 64, dan epoch 80 menghasilkan nilai MAPE 1,36%, yang menggambarkan hasil prediksi memiliki akurasi yang baik. Hasil ini menujukkan bahwa model LSTM yang dioptimasi dengan Adam telah menunjukkan efektivitasnya dalam melakukan prediksi harga CPO untuk aplikasi dalam penyediaan model prediksi bagi industri kelapa sawit.
The Development of Mathematical Learning Materials Based on Problem-Based Learning to Enhance Problem-Solving Ability at Senior High School Erliza, Refni; Permana, Dony; Fauzan, Ahmad; Syarifuddin, Hendra
Scaffolding: Jurnal Pendidikan Islam dan Multikulturalisme Vol. 5 No. 3 (2023): Pendidikan Islam dan Multikulturalisme
Publisher : Institut Agama Islam Sunan Giri (INSURI) Ponorogo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37680/scaffolding.v5i3.3742

Abstract

The research aims to produce a mathematics learning tool based on problem-based learning to improve problem-solving abilities in semester II class XI high school material that is valid, practical, and effective. This type of research is development research, while the population in this research is class XI students at SMAN 4 Payakumbuh using a random sampling technique class. This research uses a development model consisting of 3 stages: the initial investigation stage, the development or prototyping stage, and the assessment stage. Data collection techniques in this development model are interviews with teachers and students and questionnaires for teachers and students. The validation test stage consists of self-evaluation and validation sheets for the RPP and LKPD. Practicality test instruments describe the practicality of the learning tools being developed. The research results showed that the lesson plans developed averaged 3.56 in the very valid category. In contrast, the LKPD developed had an average of 3.39 in the very valid category. Overall, the practicality value of the RPP is 87.50% with very practical criteria, and the practicality value of LKPD is 88.67% with very practical criteria. This means that based on the questionnaire on the practicality of the RPP and LKPD filled out by educators for mathematics learning tools using the PBL model, it is stated that they are very practical and can be used well by students in learning.
Application of Area Sampling Frame for Digitizing Household Data in Talawi Mudiak to Support Sustainable Development Goals Syafriandi, Syafriandi; Fitria, Dina; Amalita, Nonong; Kurniawati, Yenni; Permana, Dony; Fitri, Fadhilah; Martha, Zamahsary; Mukhti, Tessy Octavia
Pelita Eksakta Vol 8 No 2 (2025): Pelita Eksakta, Vol. 8, No. 2
Publisher : Fakultas MIPA Universitas Negeri Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24036/pelitaeksakta/vol8-iss2/293

Abstract

Desa Talawi Mudiak menghadapi tantangan dalam pengelolaan data kependudukan. Meskipun mereka telah menyusun RPJMD 2022-2027 yang mengacu pada SDG's, pendataan yang dilakukan masih terbatas pada aspek kependudukan dan demografi. Padahal, pemutkhiran data harus mencakup 17 pilar SDg's agar dapat digunakan sebagai dasar dalam perencanaan pembangunan desa. Selain itu, keterbatasan akses internet dan kurangnya pemanfaatan teknologi informasi juga menjadi kendala pengembangan sistem informasi desa yang lebih komprehensif. Program Studi S1 Statistika hadir dalam menjembatani pencapaian beberapa pilar itu melalui pemutakhiran data hingga dilitalisasinya. Kegiatan diawali dengan pengumpulan data awal, perhitungan kerangka sampling, pelaksanaan survei, dan pemrosesan data pasca survei hingga diperoleh suatu kesimpulan yang dapat digunakan untuk pembangunan desa. Kegiatan melibatkan banyak pihak, mulai dari dosen program studi, perangkat desa, mahasiswa, dan masyarakat. Hasil yang diperoleh berupa data yang mutakhir dan sebuah buku berisikan kondisi Desa Talawi Mudiak tahun 2025.
Forecasting Foreign Tourists to West Sumatera Before and After COVID-19 Using ARIMA and Prophet and Its Impact on Foreign Exchange Alandra, Cindy Resha; Permana, Dony; Vionanda, Dodi; Fitria, Dina
Indonesian Journal of Statistics and Applications Vol 9 No 2 (2025)
Publisher : Statistics and Data Science Program Study, SSMI, IPB University, in collaboration with the Forum Pendidikan Tinggi Statistika Indonesia (FORSTAT) and the Ikatan Statistisi Indonesia (ISI)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29244/ijsa.v9i2p157-168

Abstract

Foreign exchange earnings are very important for the improvement of the economy in Indonesia, where these foreign exchange earnings can be obtained through the tourism sector. One of the provinces in Indonesia that is a major tourist destination is West Sumatra. The number of foreign tourists coming to West Sumatra is influenced by various factors, one of which is the COVID-19 pandemic that resulted in a decrease in visitor numbers. The research was conducted to forecast the number of foreign tourists to West Sumatra using the ARIMA and Prophet methods, as well as to calculate the loss and foreign exchange earnings and the forecasting accuracy of both methods. The data for this study was taken from the BPS West Sumatra website regarding the number of foreign tourists to West Sumatra from 2015 to 2024. In this data, forecasting for the year 2020 will be done using the ARIMA method and forecasting for the year 2025 using the Prophet method. The data in this study tends to be stable before the pandemic, making the ARIMA method suitable. Meanwhile, after the pandemic, the data fluctuated, making the Prophet method suitable. From the results obtained, the best ARIMA model is ARIMA (1, 0, 1). The forecasting accuracy is 1.82% with an estimated foreign exchange loss of $52,095,688 for the year 2020. Meanwhile, using the Prophet method, the forecasting accuracy obtained is 12.13% with an estimated foreign exchange revenue of $208,546,812 for the year 2025.
Prediksi Harga Saham PT. GoTo Gojek Tokopedia Tbk. Menggunakan Long Short-Term Memory Pertiwi, Mutia Ayu; Permana, Dony
Imajiner: Jurnal Matematika dan Pendidikan Matematika Vol 8, No 1 (2026): Imajiner: Jurnal Matematika dan Pendidikan Matematika
Publisher : Universitas PGRI Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26877/imajiner.v8i1.26361

Abstract

Perkembangan pasar modal di era modern ini membuat banyak orang melakukan investasi di bidang pasar saham karena memberikan return yang menarik bagi para investor. Salah satu perusahaan yang menarik perhatian di pasar saham Indonesia adalah PT. GoTo Gojek Tokopedia Tbk. Pergerakan saham GOTO yang bersifat fluktuatif sehingga perlu dilakukan prediksi untuk membantu para investor dalam mengambil keputusan sehingga tidak terjadi kerugian. Penelitian ini menggunakan algoritma Long Short-Term Memory dalam melakukan prediksi. Data yang digunakan adalah data harga close saham GOTO sebanyak 871 data, dimulai dari tanggal 11 April 2022 hingga 28 November 2025. Pembagian dataset pada penelitian ini dibagi ke dalam rasio 80:20. Dari penelitian yang dilakukan diperoleh model LSTM terbaik untuk meprediksi harga saham GOTO adalah dengan menggunakan timestep (30), layer (4), batch size (4), epoch (100), dan neuron Hidden (50). Berdasarkan hasil pengujian diperoleh nilai RMSE sebesar 1,92 dan MAPE sebesar 2,28%.Kata Kunci: GOTO; LSTM; Saham
Co-Authors Abel, Latifa Azhar Ahmad Fauzan Alandra, Cindy Resha Amalia, Nonong Asmar, Ali Asrar, Astari Des Welyyanti Dina Fitria, Dina Dodi Vionanda Edwin Musdi Erliza, Refni Fishuri, Nufhika Fitri, Fadhilah Hamida, Zilfa Hamidah . I Made Arnawa Ikhsan, Easbi Jamaan, Elita Zusti Khairani, Devi Mardhatillah, Aulia Nurul Mawaddah, Nurul Muharromah, Arssita Nur Mukthi, Tessy Octavia Nonong Amalita Pertiwi, Mutia Ayu Putri, Eno Dwi Rahmadila, Rahmadila Salma, Admi Sarkawi, M. Rafki Suherman, Suherman Syafriandi Syafriandi Syarifuddin, Hendra Tessy Octavia Mukhti Yenni Kurniawati Yerizon Yerizon Yulianti, Lyra Zafirah, Hana Zamahsary Martha Zilrahmi, Zilrahmi