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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 Reswara: Jurnal Pengabdian Kepada Masyarakat Jurnal Lebesgue : Jurnal Ilmiah Pendidikan Matematika, Matematika dan Statistika Jurnal Statistika dan Aplikasinya ABIDUMASY : Jurnal Pengabdian kepada Masyarakat 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
Religion Agriculture, Biological Sciences & Forestry Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Nursing Physics Public Health Social Sciences Transportation Other

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Pelatihan Pembuatan Dan Penggunaan Mesin Pilin Pelepah Pisang Di Desa Pomahan Kecamatan Baureno Agus Sulistiawan; Denny Nurdiansyah
Jurnal SOLMA Vol. 11 No. 3 (2022)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v11i3.10560

Abstract

Background: Pandemi Covid-19 menyebabkan ekonomi menjadi merosot dan banyak pengangguran terjadi terutama di daerah pedesaan. Dampak dari pandemi ini menyebabkan penghasilan masyarakat mengalami penurunan. Namun, di wilayah Timur Bojonegoro terdapat sekelompok masyarakat yang memanfaatkan limbah pohon pisang yaitu pelepah pisang menjadi nilai ekonomis di Desa Pomahan Kecamatan Baureno. Tujuan dari pengabdian ini adalah memberikan pelatihan penggunaan mesin pilin yang telah dibuat untuk membantu mempermudah proses pilin dan pintal pelepah pisang menjadi tali agar menghemat waktu dan meningkatkan kuantitas produksi. Metode: Kelompok masyarakat pengrajin pelepah pisang Desa Pomahan Kecamatan Baureno Kabupaten Bojonegoro yang terdiri dari 25 kepala keluarga. Hasil: Pelepah pisang dari hasil panen pisang biasanya menjadi sampah organik yang belum dimanfaatkan secara maksimal. Pelepah pisang dimanfaatkan oleh sekelompok masyarakat sebagai kerajinan tangan, seperti gedebog pluntu atau tali yang digunakan untuk kerajinan tangan yaitu tas, sandal, tempat duduk, dan kerajinan lainnya. Untuk menjadikan tali, sekelompok masyarakat ini masih menggunakan teknik manual dalam proses pilin dan pintal sehingga proses pembuatannya membutuhkan waktu yang lama. Selain itu, jika pelepah pisang hanya dijual dalam bentuk uraian tanpa dipilin harga yang didapat juga murah. Hasil yang dicapai dalam pelatihan ini masyarakat desa dapat menambah pengetahuan, keterampilan, dan pengalaman dalam penggunaan mesin pilin dalam proses pilin dan pintal pelepah pisang sampai menjadi tali yang meningkatkan nilai jual bagi perajin pelepah pisang di Desa Pomahan Kecamatan Baureno.
Pelatihan Pengolahan Mawar sebagai Produk Makanan di Desa Kalangan Kabupaten Bojonegoro Denny Nurdiansyah; Ririn Fauziyah; M. Ridlwan Hambali; Fadhilatun Ni’mah; Muhammad Jauharul Fawaiq
Jurnal SOLMA Vol. 12 No. 2 (2023)
Publisher : Universitas Muhammadiyah Prof. DR. Hamka (UHAMKA Press)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22236/solma.v12i2.10780

Abstract

Background: Salah satu potensi Desa Kalangan di Kabupaten Bojonegoro adalah bunga mawar yang mana harga bunga ini kurang memberikan keuntungan bagi masyarakat karena kebutuhannya tergantung dengan adanya acara adat saja. Dengan adanya potensi tersebut, tim KKN Universitas Nahdlatul Ulama Sunan Giri (UNUGIRI) melakukan pelatihan pengolahan mawar menjadi sebuah produk makanan sehat yang bernilai ekonomi tinggi. Pengabdian ini bertujuan untuk meningkatkan pengetahuanpengolahan dan manfaat makanan dari bahan baku bunga mawar untuk meningkatkan produktivitas masyarakat Desa Kalangan dengan menaikan potensi yang ada di Desa Kalangan sebagai produsen Bunga Mawar. Metode: Target yang diberikan oleh tim KKN UNUGIRI adalah Ibu-Ibu PKK dari Desa Kalangan sebanyak 35 orang. Metode pelaksanaan pengabdian ini dilaksanakan melalui 4 tahapan selama 2 hari yaitu penggalian pengetahuan, sosialisasi, praktik pembuatan Selai Mawar, dan evaluasi akhir. Pengambilan data dilakukan pada seluruh peserta yang mengikuti pelatihan pembuatan olahan dari bunga mawar dan pemasaran produk secara e-commerce.Hasil: Hasil kegiatan yang diberikan telah menambah pengetahuan dan wawasan bagiwarga Desa terkait produk olahan bunga mawar, serta menambah pendapatan masyarakat ketika produk tersebut dijual di pameran produk desa yang diadakan di alun-alun Bojonegoro. Evaluasi pelatihan diperoleh 80% peserta mengalamipeningkatan pengetahuan dan wawasan terkait produk olahan bunga mawar. Kesimpulan: Diperoleh kesimpulan bahwa peningkatan potensi bunga mawar menjadi produk olahan dapat memberikan nilai tambah secara ekonomi bagi pendapatan warga Desa yang mana disarankan adanya inovasi lain seperti bibit parfum bunga mawar.
Implementation of Clustering and Association for Early Warning of Disasters in Bojonegoro Regency Nurdiansyah, Denny; Hayati, Erna; Purnamasari, Ika; Hidayanti, Anna Apriana; Rahayu, Yuliana Fuji
ComTech: Computer, Mathematics and Engineering Applications Vol. 15 No. 2 (2024): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v15i2.11933

Abstract

The research aimed to analyze the relationships between different types of disasters, assess the likelihood of disaster occurrences, and enhance knowledge and understanding of disaster patterns in Bojonegoro Regency. The goal was to enable better disaster prediction and preparedness in the future. The methods applied included mapping, clustering using the K-means algorithm, and association rule mining with the Apriori algorithm. Secondary data were obtained from the National Disaster Management Agency and the Bojonegoro Regency Regional Disaster Management Agency Office, covering eight types of disasters. The results reveal that the K-means model groups the data into 5 clusters from 28 sub-districts in Bojonegoro. There are 13 sub-districts in Cluster 0, 1 sub-district in Cluster 1, 4 sub-districts in Cluster 2, 6 sub-districts in Cluster 3, and 4 sub-districts in Cluster 4. The association rule analysis produces four association rules using a minimum support of 10% and a minimum confidence of 50%. The findings highlight that the Ngasem and Bojonegoro sub-districts require more focused disaster management. The fourth association rule has the highest confidence level at 78.79%, indicating that forest and land fires are likely to follow when drought occurs. The research implies that it can support more targeted disaster management focusing on high-risk sub-districts such as Ngasem and Bojonegoro. The originality of the research lies in its novel application of clustering and association rules to analyze disaster patterns in the region, with implications for more targeted disaster mitigation strategies.
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. 
IMPLEMENTATION OF MIXED GEOGRAPHICALLY WEIGHTED REGRESSION MODEL TO ANALYZE SOCIAL ASSISTANCE BUDGET IN EAST JAVA Utami, Putri; Nurdiansyah, Denny; Kartini, Alif Yuanita
Jurnal Statistika dan Aplikasinya Vol. 8 No. 2 (2024): Jurnal Statistika dan Aplikasinya
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.08204

Abstract

Background - Social assistance (BANSOS) is aid provided by the government to low-income communities in the form of money, goods, or services. Understanding the allocation and influencing factors of social assistance in East Java is crucial for effective distribution. Mixed Geographically Weighted Regression (MGWR) combines global and local regression models to address spatial variability in the data. Purpose – This study aims to develop an MGWR model with a fixed kernel weighting function for the social assistance budget in East Java for 2022. The specific objectives are to identify factors affecting the budget and determine the best model that represents these global and local relationships. Methodology – The study employs the Mixed Geographically Weighted Regression (MGWR) method with a fixed Gaussian kernel to analyze social assistance budget data and economic factors in East Java for 2022. Models OLS, GWR, and MGWR are applied and evaluated using the Akaike Information Criterion (AIC) to identify the best-performing model. Findings – The MGWR model with a fixed Gaussian kernel is the best for the social assistance budget in East Java, yielding a lower AIC compared to OLS and GWR models. The globally influential factor in this model is economic growth (
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.
Implementing Markov Switching Regression Using Best Subset Approach For BSI Stock Price Prediction Analysis Nurdiansyah, Denny; Ma'ady, Mochamad Nizar Palefi; Wijayanti, Lulud; Novitasari, Diah Ayu; Rohmawati, Siti
Inferensi Vol 8, No 2 (2025)
Publisher : Department of Statistics ITS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j27213862.v8i2.21030

Abstract

Stocks are evidence of ownership of the capital or funds of a company or institution and are represented by a document that includes the par value, the company name, and the rights and obligations described for each owner. Since so many factors affect the rise and fall of stock prices, investors should pay attention to the factors that influence the rise and fall of stock prices to avoid incurring losses or profits when buying and selling stocks. The rise and fall of stock prices can be analyzed with Markov switching regression by trying all possible placements of factors to get the best subset. Public holdings will continue to increase due to nation-building and Sharia Bank Indonesia (BRIS) stock price appreciation. This study aims to determine the impact of increases and decreases in the closing price of BSI stock. The modeling used in this study is Markov switching regression using the best subset approach. The data used in this study are secondary in the form of daily data for the closing price of Bank Syariah Indonesia shares, Inflation, BI Rate, Selling Exchange Rate, Money Supply, and Gross Domestic Product (GDP). Data are obtained from the official BPS website. The results of this study show that Markov switching regression modeling can identify the feasibility of regimes as "bull" and "bear" periods. State 2 indicates an uptrend or "bullish," and state 1 indicates a downtrend or "bearish." The best subset approach obtains the best model with the lowest SSE value. The study concluded that the statistical modeling results of  BSI stock's closing prices during "bull" and "bear" periods provide significant predictors: BI Rate, Selling Exchange Rate, and Money Supply.
Implementation of Decision Tree with Best Subset Approach to Identify Suicide Cases in Central and East Java Choiri, Moh. Miftahul; Nurdiansyah, Denny; Rokhim, Auliyaur; Patmawati, Pebriana Putri; Pebriani, Putri Vatria
ComTech: Computer, Mathematics and Engineering Applications Vol. 16 No. 1 (2025): ComTech
Publisher : Bina Nusantara University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21512/comtech.v16i1.12265

Abstract

The research was conducted to determine the descriptive statistics of suicide cases and classify suicide cases based on the attributes of victims who made suicide attempts. The research design used was a quantitative method in the form of exploratory research using the Decision Tree method. The research novelty was applying the Decision Tree method with the Best Subset approach. The research data sources were obtained from online mass media news such as DetikJatim and DetikJateng for suicide attempt cases from January 2022 to July 2024. The research finds significant differences in the number of suicide attempts in East Java and Central Java, with Surabaya, Malang, Blitar, Semarang, and Klaten recording higher numbers. The findings show that males more often attempt suicide, while females more often experience failed attempts. Young adults (20−39 years) record the highest rate, and hanging is the most common method. Unknown mental disorders and depression are the main risk factors, with many attempts occurring without rescue. The implication is that improving emergency response systems and mental health services is essential. The research recommends strengthening mental health and social support for older adults and those under stress. Then, enhancing rapid rescue efforts with comprehensive psychological interventions is essential for suicide prevention. The originality of the research lies in the use of a Decision Tree with the Best Subset approach to identify suicide patterns based on risk factors and methods used.
AUTOREGRESSIVE DISTRIBUTED LAG MODELING FOR RICE PRICE PREDICTOR ANALYSIS IN BOJONEGORO REGENCY Khoirina, Jami’atul; Nurdiansyah, Denny; Kartini, Alif Yuanita
Jurnal Statistika dan Aplikasinya Vol. 9 No. 1 (2025): Jurnal Statistika dan Aplikasinya
Publisher : LPPM Universitas Negeri Jakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21009/JSA.09108

Abstract

Rice price fluctuations in Bojonegoro Regency are driven by complex interactions of economic, social, and environmental elements. These dynamics have a direct impact on the welfare of low-income households, making it essential to understand the underlying factors to support effective price stabilization efforts. Addressing this issue requires a comprehensive econometric model capable of capturing both immediate and lagged effects of relevant variables. This study analyzes the main drivers of rice price changes in Bojonegoro Regency by applying the Autoregressive Distributed Lag (ARDL) model. It focuses on how variables such as dried corn prices, rice consumption, harvest area, rice production, and money exchange rates contribute to rice price volatility. The ARDL model is employed to explore both short-term and long-term relationships between selected variables and rice prices. Model selection is guided by performance indicators including the Akaike Information Criterion (AIC), Root Mean Square Error (RMSE), R-Square, as well as results from stationarity, cointegration, and classical assumption tests. The study utilizes secondary data sourced from the Bojonegoro Regency Food Security and Agriculture Office and the Bojonegoro Statistics Agency. The optimal model, identified as ARDL (3,4,4,4,4,0), produces an R-Square of 97.13% and the lowest AIC among alternatives. The analysis reveals that dried corn prices, rice consumption, harvest area, and rice production significantly influence rice prices, each with distinct lag structures. The money exchange rate, however, is found to have no significant effect. This study does not account for policy-specific variables or broader external factors such as global climate change or international trade regulations, which may also impact rice prices. Additionally, the availability and quality of secondary data may affect the model’s predictive accuracy. By incorporating lag structures and localized economic factors, this research offers a robust predictive framework tailored to Bojonegoro Regency. It provides practical insights for policymakers aiming to enhance rice price stability and protect household purchasing power.
Pemberdayaan Masyarakat Melalui Pelatihan Pembuatan Mochi Melon Hidroponik Kusniar, Niken Nadif Ulfiya; Habibullah, M. Noor; Levia, Zachdyna Aurelya; Marfuah, Siti; Alfiansyah, Achmad Thoriq Habib; Anisa, Firda; Nurdiansyah, Denny; Kusna, Siti Labiba
Reswara: Jurnal Pengabdian Kepada Masyarakat Vol 6, No 2 (2025)
Publisher : Universitas Dharmawangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46576/rjpkm.v6i2.6028

Abstract

Desa Cengkir, Bojonegoro, berhasil mengembangkan budidaya melon hidroponik dengan kualitas premium, namun pemasarannya terbatas pada ukuran buah segar yang lebih kecil. Masyarakat yang mengandalkan sektor pertanian membutuhkan inovasi untuk meningkatkan nilai tambah produk mereka. Kolaborasi dengan mahasiswa KKN menghasilkan solusi berupa pengolahan melon hidroponik menjadi produk bernilai tambah, seperti mochi melon, untuk membuka peluang pasar baru dan meningkatkan kesejahteraan petani. Tujuan pengabdian ini adalah meningkatkan nilai tambah melon hidroponik sekaligus memberdayakan masyarakat dengan produk lokal bernilai ekonomi tinggi. Metode yang digunakan dalam kegiatan pelatihan meliputi pemilihan melon, pengolahan buah menjadi selai, pembuatan adonan mochi berbasis tepung ketan, serta sosialisasi dan pelatihan mengenai proses pembuatan secara manual. Selama pelatihan, peserta diberikan pengetahuan tentang penyesuaian cita rasa dan tampilan agar produk mochi melon menarik perhatian konsumen. Hasil kegiatan menunjukkan bahwa mochi melon berhasil meningkatkan nilai tambah melon hidroponik dan menarik minat masyarakat sebagai camilan unik dan inovatif. Peningkatan keterampilan peserta terlihat dari persentase kemampuan mereka yang meningkat dari 40% menjadi 85%. Produk mochi melon yang dihasilkan berhasil menarik minat masyarakat lokal, dengan 90% peserta memberikan tanggapan positif. Selain itu, terdapat peningkatan signifikan dalam penjualan mochi melon yang meningkat 60% dalam sebulan setelah pelatihan, serta peningkatan pengetahuan masyarakat yang tercermin dari skor pre-test dan post-test yang menunjukkan peningkatan rata-rata sebesar 50%. Kesimpulannya, Mochi melon berhasil meningkatkan nilai tambah melon hidroponik dan memberdayakan masyarakat melalui pengolahan produk lokal yang bernilai ekonomi. Inovasi ini memiliki potensi untuk menjadi produk unggulan daerah dan membuka peluang pasar baru
Co-Authors Agus Sulistiawan Agus Sulistiawan Alfiansyah, Achmad Thoriq Habib Anisa, Firda Anna Apriana Hidayanti Aziz, Su’udin 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 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 Muhammad Jauharul Fawaiq Muhammad Maftuchin Muhammad Shofiyudin Mula Agung Barata Mutiani, Tia Nailil Muna Nasirudin, M. Nita Cahyani Novitasari, Diah Ayu Novitasari, Diah Ayu Oktafiya, Dewi Putri Nur Patmawati, Pebriana Putri Pebriani, Putri Vatria Putri Utami, Putri Rahayu, Yuliana Fuji Rahman, Rifqi Maulana Ridho, Sari Lestari Zainal Ririn Fauziyah Rohmawati, Siti Rokhim, Auliyaur Saidah, Saniyatus Siti Marfuah, Siti Sukmawaty, Yuana Suwandi, Edi Syarif Husen Utomo, Muchammad Chandra Cahyo Wijayanti, Lulud Yuliana, Ummi Agustin Zainul Abidin