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All Journal Jurnal Rekayasa Mesin Jurnal Kesehatan Vokasional Jurnal SOLMA BAREKENG: Jurnal Ilmu Matematika dan Terapan ComTech: Computer, Mathematics and Engineering Applications Vygotsky: Jurnal Pendidikan Matematika dan Matematika Inferensi Jurnal Sistem Komputer dan Informatika (JSON) Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Statistika dan Aplikasinya ABIDUMASY : Jurnal Pengabdian kepada Masyarakat Decode: Jurnal Pendidikan Teknologi Informasi Indonesian Collaboration Journal of Community Services (ICJCS) J-ABDIPAMAS (Jurnal Pengabdian Kepada Masyarakat)
Denny Nurdiansyah
Statistics Study Program, Faculty Of Science And Technology, Universitas Nadlatul Ulama Sunan Giri, Indonesia
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DATA MINING STUDY FOR GROUPING ELEMENTARY SCHOOLS IN BOJONEGORO REGENCY BASED ON CAPACITY AND EDUCATIONAL FACILITIES Nurdiansyah, Denny; Saidah, Saniyatus; Cahyani, Nita
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 17 No 2 (2023): BAREKENG: Journal of Mathematics and Its Applications
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol17iss2pp1081-1092

Abstract

The implementation of national education must ensure equitable distribution of educational facilities. However, based on data from the Regional Education Balance Sheet (NPD) in 2021, elementary schools in Bojonegoro District still need to meet the criteria for overall equality. It is mainly related to educational capacity and facilities. It is necessary to group elementary schools based on capacity and educational facilities to solve this problem by applying the clustering method. The research aims to conduct a comparative study of three clustering methods to get the best way to be used for clustering elementary schools in Bojonegoro Regency. This study applies three clustering methods, namely K-Means, K-Medoids, and Random Clustering, which are compared to get the best clustering method. The data used is secondary data representing educational capacity and facilities, namely the number of students, teachers, classrooms, and study groups (Rombel) from the Bojonegoro District Education Office. Obtained the resulting comparison of clustering methods with the best way falls on the K-Means method, which forms 5 clusters. It explained that elementary schools with educational capacity and facilities get highly complete 14 schools (cluster_3), complete 236 schools (cluster_2), fairly complete 176 schools (cluster_4), less complete 310 schools (cluster_1), and incomplete 177 schools (cluster_0). The conclusion that comparing Clustering methods obtained grouping of Elementary School data with the best way falls on the K-Means method by getting 5 clusters.
CLUSTERING ANALYSIS FOR GROUPING SUB-DISTRICTS IN BOJONEGORO DISTRICT WITH THE K-MEANS METHOD WITH A VARIETY OF APPROACHES Nurdiansyah, Denny; Ma'ady, Mochamad Nizar Palefi; Sukmawaty, Yuana; Utomo, Muchammad Chandra Cahyo; Mutiani, Tia
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 18 No 2 (2024): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol18iss2pp1095-1104

Abstract

Population data is an important piece of information that is useful for regional planning and development. Insight into the state of an area is more straightforward to observe if there are grouped sub-districts. In this case, data mining techniques can identify patterns and relationships in population data. The K-Means algorithm is a clustering technique that divides data into groups or clusters based on similar characteristics. This research aims to apply the K-Means method with various approaches to clustering sub-districts in the Bojonegoro district according to population data. The research method used is a quantitative method with an exploratory study in the application of the K-Means method with a variety of approaches, namely the use of the Kernel K-Means method by utilizing the mapping function to map data to a higher dimension before the clustering process. In addition, the Fast K-Means method is used, which reduces the model training time to improve the cluster-centered recalibration problem as the amount of data increases. The data source used in this research is secondary population data in the form of birth, death, migrant, and moving variables obtained from the Satu Data Bojonegoro website developed by the Bojonegoro Regency Government. It is found that the best K-Means approach is the Kernel K-Means method with a number of clusters of 5. The performance of the cluster method is evaluated by measuring the average distance within the cluster. The data coordinate pattern in the Kernel K-means method clustering shows a smooth initial trend when the value of the number of clusters is 5 so that the clusters formed are obtained clearly. The conclusion from this study's results is that the K-Means method's best approach in grouping sub-districts in Bojonegoro district is the Kernel K-Means approach.
IMPLEMENTATION OF THE SEM-PLS APPROACH TO ANALYZE THE IMPACT OF SOCIAL AID AND APBD ON POVERTY IN THE BOJONEGORO DISTRICT Nurdiansyah, Denny; Novitasari, Diah Ayu; Ridho, Sari Lestari Zainal; Utomo, Muchammad Chandra Cahyo; Oktafiya, Dewi Putri Nur
BAREKENG: Jurnal Ilmu Matematika dan Terapan Vol 19 No 1 (2025): BAREKENG: Journal of Mathematics and Its Application
Publisher : PATTIMURA UNIVERSITY

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30598/barekengvol19iss1pp525-536

Abstract

Poverty is the socio-economic condition of individuals or groups whose fundamental rights to maintain and develop a decent life are unmet. The poverty rate in Bojonegoro was 12.21% in 2022. In order to solve this problem, a poverty model is needed to serve as a reference for the further development of Bojonegoro district. This study aimed to determine the impact of social aid and APBD on poverty in Bojonegoro district. The methodology used in this study is his SEM-PLS quantitative research modeling of poverty using the WarpPLS application. The data sources for this study are the following secondary data in the form of Bojonegoro District Poverty Data, Area Appropriations Budget (APBD), and Social Aid (Bansos) from 2019 to 2022. Survey data were accessed online through the official website. Information from the Central Bureau of Statistics (BPS) and Satu Data Bojonegoro website. The results of this study show that SEM-PLS was applied correctly, and satisfactory results were obtained in terms of overall fit size, measured fit size, and structural fit size. The analysis results show that the variable APBD significantly impacts poverty with a proportion of -0.91. It means that the higher the realization of APBD, the lower the existing poverty rate. Social Aid variables up to -0.09 do not significantly impact poverty. It means that the amount of social benefits you receive does not affect poverty. The conclusion is that the factors that influence poverty in Bojonegoro district are its APBD variables.
The Use of A Geographically Weighted Regression Model to Analyze Predictors of The Rice Supply in Bojonegoro Nurdiansyah, Denny; Ma'ady, Mochamad Nizar Palefi; Kartini, Alif Yuanita; Yuliana, Ummi Agustin
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 6 No. 1 (2024): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v6i1.706

Abstract

The research goal would be to understand all potential influences on the amount of rice available within every sub-district in the Bojonegoro district. Geographically weighted regression (GWR), a technique used for this study, uses kernels: adaptive bisquare, fixed bisquare, adaptive gaussian, and fixed gaussian. The state office for food security and farming inside the Bojonegoro district provided secondary statistics for the 2018 year that included information on the population, the harvested area, the rice production, and the rice supply. The outcomes from the kernel-fixed gaussian elected model using AIC minimum criteria for the GWR model. The implementation's conclusion is due to the impact of variety in locations. The next research recommendation is a time-series spatial study of the rice problem.
PELATIHAN PENGOLAHAN MAKANAN RINGAN GAPIT DAN STICK BERBAHAN DASAR BAWANG MERAH DI DESA KEPOHKIDUL BOJONEGORO Nurdiansyah, Denny; Aziz, Su’udin; Hambali, M. Ridlwan; Rahman, Rifqi Maulana; Koniva, Deskia Dwi Nur
Indonesian Collaboration Journal of Community Services (ICJCS) Vol. 4 No. 1 (2024): Indonesian Collaboration Journal of Community Services
Publisher : Yayasan Education and Social Center

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53067/icjcs.v4i1.155

Abstract

There is less than optimal utilization of the red onion harvest, so that many red onions are sold to collectors at standard prices, while some red onions that do not meet the requirements are usually wasted. In addition, there are still many unemployed people in Kepokidul Village, some of whom are directed by the village head to look after the parking lot at the Pedang Reservoir. This reservoir is a potential and motivation for the village SMEs to produce and market processed products. Therefore, KKN UNUGIRI held training on processing processed products from red onions that will become high-value and healthy processed products. The purpose of this Community Service (PkM) is to improve the ability of the village community to produce processed products from red onion raw materials and market them. Thus, creating an increase in the number of SMEs in Kepohkidul Village which reduces unemployment. The target of the training provided was 30 PKK mothers from Kepohkidul Village. The method of implementing PkM was carried out in four activities over three days, namely extracting community knowledge, socialization, training, and evaluating understanding. The results of this PkM activity are an increase in the knowledge and insight of the village community regarding processed red onion products, as well as increasing options for village SMEs for marketed products. The evaluation resulting from this training resulted in 75% of participants experiencing an increase in knowledge and insight related to processed red onion products. The conclusion that can be drawn is that unemployment can be reduced by increasing the number of village SMEs by providing training on processed products and marketing
PENDAMPINGAN MUJAHADAH DAN ISTIGHOSAH UNTUK MENINGKATKAN KECERDASAN SPIRITUAL KEAGAMAAN SANTRI DAN MASYARAKAT Choiri, Moh Miftahul; Nurdiansyah, Denny; Rokhim, Auliyaur
ABIDUMASY Vol 5 No 01 (2024): ABIDUMASY : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/abidumasy.v5i01.5121

Abstract

Abstract : This Mujahadah and Istighosah activity was carried out in order to guard and develop the spirituality of the community and students in the Raudhatul Ulum Campurejo Bojonegoro Islamic Boarding School. A person's spiritual level sometimes rises, sometimes falls, so efforts are needed to stabilize this condition. For example, there is a student who has just entered the boarding school and is naughty at first, then after being at the boarding school and graduating, he becomes an obedient child. This cannot be separated from the efforts of a kyai or ustadz, namely dhohir and inner efforts. Dhohir's efforts include teaching, directing, educating and so on. Meanwhile, inner efforts are prayer, penance, mujahadah, istighosah and so on. These two efforts must be carried out in balance. So we, as a community service team, want to hold Mujahadah and Istighosah assistance activities to improve the religious spirituality of the community and students in the Raudhatul Ulum Campurejo Islamic Boarding School, Bojonegoro. The Community Service method used is the Participatory Action Research model. Namely, the mentor goes directly to the field to oversee the mentoring process from the beginning to the end of the activity. The stages or steps that will be taken in carrying out mujahadah and Istighosah assistance to increase religious spiritual intelligence are as follows: Identification of needs and goals, Determining companions, Gathering information, Forming groups or clusters, Preparing programs and schedules, Implementing mujahadah and istighosah practices, Teaching mujahadah and istighosah material, Monitoring and evaluation, Support and motivation and finally program evaluation Keywords: Mujahadah, Istighosah, Spiritual intelligence
PENANAMAN KARAKTER SPIRITUAL SEJAK DINI PADA ANAK USIA DINI DI PAUD, TK, SD PONPES RAUDLATUL ULUM CAMPUREJO BOJONEGORO Choiri, Moh. Miftahul; Nurdiansyah, Denny; Rokhim, Auliyaur
ABIDUMASY Vol 5 No 02 (2024): ABIDUMASY : JURNAL PENGABDIAN KEPADA MASYARAKAT
Publisher : Lembaga Penelitian dan Pengabdian kepada Masyarakat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33752/abidumasy.v5i02.7299

Abstract

This dedication is the author's effort to invite re-examination of the importance of character cultivation in early childhood. Lately, the spotlight on morals is quite serious, in other words, the quality of morals is still far from expectations. The quality of morals must always be strived for to be even better. School as an educational environment is a solid foundation in the process of character building. Character building requires early habituation because character cannot be formed in a short time. The role of education, especially school education, will greatly help in the formation of the main person. The school is one of the institutions responsible for the implementation of education that determines the success or failure of children's education. Therefore, teachers in Islam have the obligation to provide education and guidance to their children as a mandate from Allah SWT. The implementation method chosen is Participatory Action Research.  The PAR method is a service method that requires community participation and action as the main actors in the preparation and implementation of the program. Meanwhile, the researcher is a facilitator who helps students or service subjects so that they can develop and implement the program optimally until it is successful. 
Comparison of Decomposition and Triple Exponential Smoothing Methods to Improve Rice Production Forecasting in East Java Province Lathifah, Nur Aisyatul; Nurdiansyah, Denny; Kartini, Alif Yuanita
Vygotsky: Jurnal Pendidikan Matematika dan Matematika Vol. 7 No. 1 (2025): Vygotsky: Jurnal Pendidikan Matematika dan Matematika
Publisher : Universitas Islam Lamongan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30736/voj.v7i1.1119

Abstract

This study forecasts rice production in East Java using Triple Exponential Smoothing (Holt-Winters) and Decomposition. Data includes rice production in dry milled grain (GKG) from January 2018 until December 2023, sourced from the Central Statistics Agency (BPS) of East Java. The analysis identifies the Holt-Winters Multiplicative model as the most effective, with the lowest error values: Mean Absolute Percentage Error (MAPE) of 0.1452, Mean Absolute Deviation (MAD) of 0.1078, and Mean Squared Error (MSE) of 0.0286 during training, and MAPE of 0.1974, MAD of 0.1909, and MSE of 0.0858 during testing. The Holt-Winters Multiplicative model is recommended for future rice production predictions, providing reliable method for accurate forecasting, and aiding in future rice demand planning in East Java.
Analisis Metode Ensemble Berbasis Random Forest untuk Klasifikasi Kejadian Stroke pada Dataset Publik Viki Mei Adi Saputra; Mula Agung Barata; Denny Nurdiansyah
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 3 (2026): Maret 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i3.9496

Abstract

Stroke merupakan salah satu penyebab utama disabilitas dan kematian global, sehingga diperlukan pendekatan berbasis data untuk mendukung klasifikasi kejadian stroke secara sistematis. Penelitian ini menganalisis variasi metode ensemble berbasis Random Forest pada dataset publik healthcare-dataset-stroke-data dari Kaggle yang terdiri dari 5.110 data pasien dengan 11 variabel demografis dan faktor risiko kardiovaskular. Tahapan prapemrosesan meliputi imputasi nilai hilang pada atribut bmi menggunakan median, penanganan outlier dengan metode interquartile range (IQR), serta penyeimbangan kelas menggunakan SMOTE. Tiga skenario model dikembangkan dalam satu pipeline yang seragam, yaitu Random Forest sebagai baseline, Bagging Random Forest, dan AdaBoost Random Forest. Evaluasi dilakukan menggunakan 5-Fold Cross Validation dengan metrik akurasi, presisi, recall, dan F1-score. Hasil analisis menunjukkan adanya perbedaan nilai metrik evaluasi antar skema ensemble, dengan konfigurasi AdaBoost Random Forest menghasilkan nilai akurasi sebesar 94,70% pada konfigurasi pengujian yang digunakan. Studi ini memfokuskan analisis pada variasi strategi ensemble dalam satu kerangka Random Forest dengan pipeline prapemrosesan yang seragam, sehingga menghasilkan evaluasi yang terkontrol dan reprodusibel.
Penguatan Digitalisasi dalam Pendidikan Islam melalui Penerapan Statistika Dasar di Pondok Pesantren Roudlatul Ulum Campurejo Bojonegoro Denny Nurdiansyah; Moh. Miftahul Choiri; Auliyaur Rokhim; Andika Dwi Setiawan; Muhammad Kholil Asyhuri
Jurnal SOLMA Vol. 15 No. 1 (2026)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v15i1.20984

Abstract

Latar Belakang: Pengelolaan administrasi dan evaluasi pembelajaran di Pondok Pesantren Roudlatul Ulum Campurejo Bojonegoro sebelumnya masih dilakukan secara manual, sehingga kurang efisien dan menyulitkan proses pengambilan keputusan berbasis data. Disamping itu berita terkait kegiatan-kegiatan pondok pesantren kurang sampai ke masyarakat, sehingga pondok pesantren kurang mendapat dukungan dari masyarakat baik dalam hal donasi maupun tenaga. Kegiatan pengabdian ini bertujuan meningkatkan efisiensi manajemen, transparansi data, dan keterlibatan masyarakat melalui penerapan teknologi digital yang relevan dengan kebutuhan mitra. Metode: Pelaksanaan pengabdian kepada masyarakat ini dilakukan dengan serangkaian kegiatan, meliputi sosialisasi, empat workshop teknis (digitalisasi administrasi berbasis Microsoft Excel, evaluasi pembelajaran menggunakan Analysis ToolPak, pembuatan database digital dengan Google Forms/Sheets, dan pengelolaan WebBlog), penerapan teknologi, pendampingan, serta strategi keberlanjutan program. Hasil: ditunjukkan peningkatan signifikan hasil pengabdian pada empat indikator utama, yaitu: digitalisasi administrasi (70%), tersusunnya laporan evaluasi pembelajaran (80%), pendataan penerima manfaat pesantren (santri) (75%), dan publikasi kegiatan-kegiatan pondok pesantren dengan masyarakat melalui media digital (70%). Luaran ini berdampak langsung pada peningkatan kapasitas digital tenaga pendidik, efisiensi tata kelola pesantren, dan keterhubungan dengan masyarakat. Kesimpulan: Penerapan digitalisasi berbasis pelatihan dan pendampingan intensif terbukti efektif menjawab tantangan pengelolaan pesantren, dan direkomendasikan untuk dikembangkan ke sistem berbasis cloud agar dapat diadopsi oleh lebih banyak lembaga pendidikan berbasis komunitas.
Co-Authors Afril Efan Pajri Agus Sulistiawan Agus Sulistiawan Ahmad Agus Wicaksono Alfiansyah, Achmad Thoriq Habib Alif Yuanita Kartini Amalia Nur Laily Andika Dwi Setiawan Anisa, Firda Anna Apriana Hidayanti Anti Nabila Auliyaur Rokhim Dinda Ayu Aprilia Elsa Maulida Safitri Emilia Fatmawati Erna Hayati, Erna Fadhilatun Ni’mah Habibah Zulfana Lailiyah Habibullah, M. Noor Hidayatul Fitriyah Ika Purnamasari Kartini, Alif Yuanita Khiorul Wafa Khoirina, Jami’atul Khoirul Wafa Koniva, Deskia Dwi Nur Kurnia Amirza Julianto Kusniar, Niken Nadif Ulfiya Labiba Kusna, Siti Lathifah, Nur Aisyatul Levia, Zachdyna Aurelya Lilis Dwi Agustin M. Ridlwan Hambali Miftakhul Khasanah Mochamad Nizar Palefi Ma’ady Moh. Miftahul Choiri Moh. Miftahul Choiri Muhammad Jauharul Fawaiq Muhammad Kholil Asyhuri Muhammad Maftuchin Muhammad Shofiyudin Muhammad Yulvi Aditya Pradana Muhammad Zahid Ubaidillah Mula Agung Barata Mutiani, Tia Nailil Muna Nasirudin, M. Nita Cahyani Novitasari, Diah Ayu Novitasari, Diah Ayu Nur Aisyatul Lathifah Oktafiya, Dewi Putri Nur Patmawati, Pebriana Putri Pebriani, Putri Vatria Putri Utami Rahayu, Yuliana Fuji Rahman, Rifqi Maulana Retno Eka Nurfirdaus Ridho, Sari Lestari Zainal Ririn Fauziyah Rohmawati, Siti Rokhim, Auliyaur Saidah, Saniyatus Sefia Rara Romadona Siti Fasroin Siti Marfuah, Siti Sukmawaty, Yuana suudin aziz Suwandi, Edi Syarif Husen Teguh Pribadi Tia Fadila Rista Utomo, Muchammad Chandra Cahyo Viki Mei Adi Saputra Wafa, Khoirul Wella Vernanda Meilasaroh Wijayanti, Lulud Yuliana, Ummi Agustin Zainul Abidin