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All Journal Network Engineering Research Operation [NERO] SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan JURIKOM (Jurnal Riset Komputer) Antivirus : Jurnal Ilmiah Teknik Informatika Jurnal Teknik Mesin dan Mekatronika (Journal of Mechanical Engineering and Mechatronics) JATI (Jurnal Mahasiswa Teknik Informatika) Abdi Kami : Jurnal Pengabdian Kepada Masyarakat Jurnal Restikom : Riset Teknik Informatika dan Komputer Jurnal Inovasi Penelitian dan Pengabdian Masyarakat Curtina Jurnal Pengabdian Pada Masyarakat METHABDI SAINTEK Riemann : Research of Mathematics and Mathematics Education Abdisembrani: Jurnal Pengabdian Masyarakat ABDI KAMI: Jurnal Pengabdian Kepada Masyarakat
Andy Haryoko
Universitas PGRI Ronggolawe
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Transportation Other

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Pelatihan Digital Marketing Untuk Peningkatan Usaha Rumah Tangga Pada Era Revolusi Industri 4.0 di Kecamatan Semanding Mario Fahmi Syahrial; Ulfa Yuliasari; Alfian Nurlifa; Andy Haryoko
Jurnal ABDILAWE Vol 1 No 2 (2023): Oktober 2023
Publisher : Lembaga Pengabdian Kepada Masyarakat Universitas PGRI Ronggolawe

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55719/as.v1i2.930

Abstract

Revitalisasi ekonomi pada era Revolusi Industri 4.0 telah memberikan tantangan baru bagi usaha rumah tangga di Kecamatan Semanding. Untuk bersaing secara efektif di pasar yang semakin kompetitif dan digital, diperlukan peningkatan pengetahuan dan keterampilan dalam pemasaran dan penggunaan teknologi digital. Penelitian ini bertujuan untuk menyelenggarakan pelatihan marketing dan digital guna meningkatkan kemampuan usaha rumah tangga di Kecamatan Semanding dalam menghadapi perubahan ini. Metode yang digunakan dalam kegiatan pengabdian kepada masyarakat ini yaitu dengan pelatihan secara langsung atau workshop. Pelatihan ini dihadiri oleh ibu-ibu PKK Penggerak ekonomi rumah tangga yang mempunyai usaha di berbagai bidang, seperti usaha kue kering, jamu tradisional, minuman kekinian, katering, dan lain sebagainya. Pelatihan ini mencakup berbagai topik yang dibahas, yaitu mulai pembuatan logo, pembuatan konten, dan branding digital dalam membangun citra dan kepercayaan pelanggan serta membangun dan memperkuat merek secara konsisten di platform digital. Hasil pelatihan ini, meningkatkan pemahaman dan keterampilan yang lebih baik tentang digital marketing sehingga peserta akan memiliki pemahaman yang lebih dalam tentang konsep dasar dan strategi digital marketing serta pentingnya memanfaatkan internet sebagai platform pemasaran yang efektif dan efisien. Pelatihan ini juga mengajarkan bagaimana memanfaatkan media sosial dan platform komunikasi digital lainnya untuk berinteraksi dengan pelanggan, menjawab pertanyaan pelanggan, mengumpulkan umpan balik dan membangun hubungan yang lebih dekat dengan pelanggan.
IMPLEMENTASI GOOGLE CLASSROOM SEBAGAI SARANA PEMBELAJARAN DARING PADA MASA PANDEMI COVID-19 DI KABUPATEN TUBAN Alfian Nurlifa; Andy Haryoko; Ulfa Yuliasari
ABDI KAMI: Jurnal Pengabdian Kepada Masyarakat Vol. 3 No. 2 (2020): (Oktober 2020)
Publisher : LPPM Institut Agama Islam (IAI) Ibrahimy Genteng Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29062/abdi_kami.v3i2.401

Abstract

The problem that often occurs in the world of education is the problem of knowledge transfer carried out by educators and students. The process of transferring knowledge has been carried out conventionally, namely by providing material face to face in a room or class. However, during the Covid-19 pandemic at this time this method could not be done. The current pandemic period requires people to maintain distance or social distancing. This social distancing encourages the emergence of online learning methods which are expected to reduce for the spread of virus in schools and college environment. Although online learning methods have been around for a long time, not all students are accustomed to using these methods. One of the online learning methods that can be done is by using google classroom. The use of google classroom is expected to increase the independence of students to learn and truthfully express ideas and questions other benefits of online learning.
Transformasi Literasi Digital Guru SMP melalui Pelatihan AI Generatif dalam Penyusunan Bahan Ajar Puji Rahayu; Warli Warli; Gusti Uripno; Mario Fahmi Syahrial; Andy Haryoko; Riska Andriani; Kartika Widya Putri; Choiroz Zadit Taqwa
Jurnal Inovasi Penelitian dan Pengabdian Masyarakat Vol. 6 No. 1 (2026): Juni
Publisher : Indonesia Emerging Literacy Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.53621/jippmas.v6i1.812

Abstract

Perkembangan teknologi kecerdasan buatan (Artificial Intelligence/AI) membuka peluang baru dalam dunia pendidikan, khususnya dalam penyusunan bahan ajar. Namun, banyak guru SMP masih memiliki keterbatasan literasi digital dan belum memanfaatkan AI secara optimal. Kegiatan pengabdian kepada masyarakat ini bertujuan memberikan pelatihan dan pendampingan kepada guru-guru UPT SMP Negeri 4 Tuban dalam menggunakan platform AI Z.ai untuk menyusun bahan ajar berbentuk buku. Kegiatan menggunakan desain evaluatif campuran (mixed-methods pre-post) dengan 23 peserta yang terdiri dari guru dan mahasiswa PLP. Pelatihan dilaksanakan pada 10 Desember 2025 selama satu hari sinkronus dan tujuh hari asinkronus (total 64 jam), mencakup modul: persiapan sumber draf, pembuatan ide dan outline dengan Z.ai, penyusunan isi buku, serta finalisasi naskah. Data dikumpulkan melalui kuesioner, observasi kinerja, dan penilaian produk. Hasil menunjukkan bahwa 88% peserta mampu mengoperasikan Z.ai secara mandiri, melampaui target 80%. Sebanyak 80% peserta berhasil menyelesaikan minimal satu draft bab buku ajar. Rata-rata skor posttest meningkat signifikan dibandingkan pretest pada semua konstruk yang diukur (skor total: pretest M=2,49; posttest M=3,93; Δ=1,44). Secara kualitatif, terjadi peningkatan motivasi, kepercayaan diri, dan terbentuknya komunitas belajar. Kegiatan ini membuktikan bahwa pelatihan berbasis AI dapat menjadi strategi efektif untuk meningkatkan kapasitas guru dalam pengembangan bahan ajar di era digital.
Prediksi Persetujuan Pinjaman Bank Ritel Menggunakan CatBoost dengan Optimasi Hyperparameter Berbasis Optuna dan Analisis Interpretabilitas SHAP Dwi Martantiningsih; Andy Haryoko; Amaludin Arifia
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 3 (2026): Juni 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i3.9790

Abstract

The banking sector faces significant challenges in accurately classifying loan applications, particularly for datasets dominated by categorical features with imbalanced class distribution (71%:29%). This study proposes the application of CatBoost (Categorical Boosting) with Optuna-based hyperparameter optimization a Bayesian optimization framework using Tree-structured Parzen Estimator (TPE) for bank loan approval prediction. Two class imbalance handling scenarios are comparatively evaluated: SMOTE and CatBoost built-in class_weight. Experiments are conducted on a dataset of 381 samples with 15 active features (12 original features and 3 engineered features) using 5-fold stratified cross-validation. Results show LightGBM achieves the best overall performance with Accuracy 93.42%, Precision 94.83%, Recall 96.49%, F1-Score 95.65%, ROC-AUC 0.9215, and MCC 0.8220. CatBoost (SMOTE) achieves competitive performance with AUC-CV 0.9030 and F1 94.02%. SHAP (SHapley Additive exPlanations) analysis identifies Credit_History as the dominant feature (mean|SHAP|=3.2225), followed by ApplicantIncome (0.6896) and Property_Area_Semiurban (0.5222). This study contributes as the first investigation integrating CatBoost+Optuna+XAI-SHAP in retail bank loan approval prediction with dominant categorical features, while providing systematic comparison against LightGBM, XGBoost, and Random Forest.
Perbandingan Moving Average dan Exponential Smoothing untuk Prediksi Harga Saham BBRI pada Dataset 2019–2026 Wahyu Dedy Setiyawan; Andy Haryoko; Amaludin Arifia
JURIKOM (Jurnal Riset Komputer) Vol. 13 No. 3 (2026): Juni 2026
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/jurikom.v13i3.9791

Abstract

This study compares four time series forecasting methods Simple Moving Average (SMA), Double Moving Average (DMA), Single Exponential Smoothing (SES), and Double Exponential Smoothing (DES/Holt) for predicting the closing stock price of BBRI.JK. The dataset comprises 1,768 daily observations spanning January 2019 to December 2026, split into training (80%) and testing (20%) sets. Each method's parameters were optimized via grid search minimizing MAPE, then evaluated across three metrics: MAPE, MAE, and RMSE. SES (α = 0.9) emerged as the best-performing model, achieving a MAPE of 0.3763%, MAE of IDR 14.93, and RMSE of IDR 24.31 substantially outperforming SMA (3.1591%), DMA (2.7561%), and DES (3.6973%). These findings offer methodological guidance for researchers and practical insight for investors operating in emerging market equities with near weak-form efficiency.
Sosialisasi literasi digital cakap dan bijak menggunakan dompet elektronik di SMK Sunan Bejagung Tuban Andik Adi Suryanto; Amaludin Arifia; Alfian Nurlifa; Asfan Muqtadir; Fitroh Amaluddin; Aris Wijayanti; Andy Haryoko; Suprapto Suprapto; Miftahul Ulum; Nurul Hidayah; Layla Ayu Mustika Putri; Dhoni Prasetya; Syahrul Andrian Setia Budi; Rachmalia Vinda Kusuma; Miftahul Munir; Saeful Mizan; Yosia Dian Purnama Windrayadi; Mardi Widodo; Tabhita Sri Hartati Wulandari; Guruh Putro Dirgantoro
SELAPARANG: Jurnal Pengabdian Masyarakat Berkemajuan Vol 10, No 3 (2026): June
Publisher : Universitas Muhammadiyah Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31764/jpmb.v10i3.38805

Abstract

Abstrak Perkembangan transaksi keuangan digital di kalangan pelajar menuntut peningkatan literasi keamanan finansial digital. Kegiatan pengabdian masyarakat ini bertujuan meningkatkan pemahaman siswa kelas XII SMK Sunan Bejagung Tuban terkait penggunaan dompet elektronik secara aman, pencegahan kejahatan siber, serta verifikasi legalitas layanan keuangan digital. Metode yang digunakan berupa sosialisasi, simulasi praktik keamanan akun, diskusi interaktif, serta evaluasi melalui pretest, posttest, dan angket respon. Kegiatan melibatkan 68 siswa dan menunjukkan peningkatan pemahaman signifikan dari kategori kurang menjadi sangat baik setelah kegiatan. Respon peserta juga sangat positif sehingga kegiatan dinilai efektif meningkatkan literasi keamanan finansial digital. Secara kuantitatif, hasil analisis deskriptif menunjukkan peningkatan kategori pemahaman sangat baik dari 1,7% (pretest) menjadi 82,8% (posttest), serta penurunan kategori kurang dari 66,8% menjadi 0%, yang dihitung berdasarkan persentase jumlah responden pada tiap skala penilaian instrumen pretest dan posttest (N=68). Kata kunci: literasi digital; dompet elektronik; keamanan siber; pelajar SMK; pengabdian masyarakat. AbstractThe rapid growth of digital financial transactions among students has increased the need for stronger digital financial security literacy. This community service program aimed to enhance the understanding of Grade 12 students at SMK Sunan Bejagung Tuban regarding the safe use of electronic wallets (e-wallets), cybercrime prevention, and verification of the legitimacy of digital financial services. The program employed educational sessions, hands-on simulations of account security practices, interactive discussions, and evaluations using pretests, posttests, and participant response questionnaires. A total of 68 students participated in the program. The findings demonstrated a substantial improvement in participants’ understanding, shifting from a poor level before the program to a very good level after its completion. Participants also provided highly positive responses, indicating that the program was effective in strengthening digital financial security literacy. Quantitatively, descriptive analysis showed that the proportion of participants in the very good understanding category increased from 1.7% in the pretest to 82.8% in the posttest, while the proportion in the poor category decreased from 66.8% to 0%. These percentages were calculated based on the number of respondents within each rating category of the pretest and posttest instruments (N = 68). Keywords: digital literacy; electronic wallets; cybersecurity; vocational high school students; community service.
ANALISIS PERBANDINGAN METODE LOAD BALANCING PCC (PER CONNECTION CLASSIFIER) DAN NTH PADA GATEWAY JARINGAN KAMPUS UNTUK OPTIMALISASI KETERSEDIAAN LAYANAN AKADEMIK DI LINGKUNGAN PERGURUAN TINGGI Mochamad Catur Nurhidayad; Asfan Muqtadir; Andy Haryoko
JATI (Jurnal Mahasiswa Teknik Informatika) Vol. 10 No. 2 (2026): JATI Vol. 10 No. 2
Publisher : Institut Teknologi Nasional Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.36040/jati.v10i2.17822

Abstract

  Transformasi digital di perguruan tinggi meningkatkan ketergantungan sivitas akademik pada layanan jaringan seperti Sistem Informasi Akademik dan Learning Management System. Keterbatasan bandwidth serta lonjakan trafik saat jam operasional kampus memerlukan solusi load balancing pada gateway jaringan guna menjaga kelancaran akses. Penelitian ini menganalisis dan membandingkan kinerja dua metode load balancing, yaitu Per Connection Classifier dan Nth, untuk mengoptimalkan ketersediaan layanan akademik. Pendekatan simulasi eksperimental kuantitatif dilakukan menggunakan MikroTik RouterOS, dengan pengukuran throughput, latency, packet loss, serta persentase uptime. Hasil menunjukkan PCC mendistribusikan trafik secara merata antar-ISP, mencapai throughput maksimal 95 Mbps, latency di bawah 30 ms, packet loss kurang dari 1%, dan uptime di atas 99%. Sebaliknya, Nth kurang optimal dengan distribusi tidak seimbang, throughput 80 Mbps, latency hingga 45 ms, packet loss 1,5%, serta uptime 97,5%. Simpulan, PCC lebih unggul dalam menjaga stabilitas koneksi dan ketersediaan layanan kritis di perguruan tinggi.
Pareto-TSP Decision Support Framework for Cafe Location Selection in Tuban Regency Andy Haryoko; Gusti Uripno; Suprapto; Mario Fahmi Syahrial
Riemann: Research of Mathematics and Mathematics Education Vol. 8 No. 2 (2026): EDISI AGUSTUS
Publisher : Program Studi Pendidikan Matematika Universitas Katolik Santo Agustinus Hippo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.38114/riemann.v8i2.210

Abstract

The cafe industry in Indonesia faces a business failure rate of 60-70% within the first three years, primarily caused by poor location selection, lacking systematic, data-driven methods (Lahindah et al., 2020; Nugraheni & Suparna, 2024). Existing studies tend to address location selection and route optimization independently. This separation leaves a gap in integrated multi-objective frameworks applicable to the Indonesian small-to-medium enterprise (SME) context. Unlike prior single-domain approaches, this study contributes a unified, replicable Decision Support System (DSS) that simultaneously integrates the Analytic Hierarchy Process (AHP), Pareto Multi-Objective Optimization, and the Traveling Salesman Problem (TSP) heuristic for optimal cafe location selection and logistics route efficiency. A sequential explanatory mixed-method design was applied, combining quantitative computational modeling with qualitative expert validation, across eight candidate locations in Tuban Regency, East Java, using spatial data from the Central Bureau of Statistics, OpenStreetMap, and Google Places API. Seven weighted criteria were evaluated via AHP (consistency ratio < 0.1), Pareto frontier analysis was conducted to identify non-dominated solutions, and three TSP algorithms (Nearest Neighbor, 2-Opt, Simulated Annealing) were implemented and compared. Results indicate that location L01 (Jl. Basuki Rahmat) achieved the highest DSS score of 0.797, a ranking that remained stable across the full sensitivity range of DSS weightings scenarios tested. The Simulated Annealing algorithm produced the most efficient distribution route of 4.22 km, reducing travel distance by 5.2% compared to the Nearest Neighbor baseline. Empirical validation against real-world Tuban data, measured as the proportion of parameters matching field observations within a 10% deviation threshold, demonstrated an 87.5% agreementrate. The proposed framework provides a replicable, transparent, and data-driven decision tool for SME cafe investors and municipal spatial planners.
Co-Authors Adityo Nugroho Ainur Rochmah Al Mubarok, Bagus Alfa Nurfahma Rosalita Alfa Nurfahma Rosalita Alfian Nurlifa Alfian Nurlifa Alfian Nurlifa Amaludin Arifia Amaludin Arifia Amaludin Arifia Andik Adi Suryanto Anggi Surya Indah Aries Eko Prasetyo Arifia, Amaludin Aris Wijayanti Aris Wijayanti Asfan Muqtadir Asfan Muqtadir Asfan Muqtadir Bangkit Setyawan, Dany Meiko Choiroz Zadit Taqwa Dhoni Prasetya Dwi Martantiningsih Fitroh Amaluddin Fitroh Amaluddin Fitroh Amaluddin Fitroh Amaluddin Guruh Putro Dirgantoro Gusti Uripno Imron Rosyidi Kartika Widya Putri Layla Ayu Mustika Putri Lestari Rozita Dewi M, Syifa’ Gustika M. Aziz Muslim Maharani Dewi, Aurora Mardi Widodo Mario Fahmi Syahrial Miftahul Munir Miftahul Ulum Miftahul Ulum Mochamad Catur Nurhidayad Muhammad Aziz Muslim Murniasih Murniasih Niken Diah Sasmita Nurul Hidayah Puji Rahayu Puspitaningrum, Fitria Rachmalia Vinda Kusuma Ratih Aprilina Riska Andriani Rizki Eka Putri Saeful Mizan, Saeful Saputri, Alfianisa Sari, Susi Indah Sheptylia Pristy Ningtyas Sholeh Hadi Pramono Suprapto Suryanto , Andik Adi Syahrul Andrian Setia Budi Syamsul Arifin Tabhita Sri Hartati Wulandari Titik Mulia Umam, Fathul Wahyu Dedy Setiyawan Wahyu Ramdhan Setyawan Warli Warli Yosia Dian Purnama Windrayadi Yuliasari, Ulfa