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All Journal Semantik Techno.Com: Jurnal Teknologi Informasi Prosiding SNATIF Jurnal Transformatika Jurnal Edukasi dan Penelitian Informatika (JEPIN) Scientific Journal of Informatics Seminar Nasional Informatika (SEMNASIF) Journal of Information System Sinkron : Jurnal dan Penelitian Teknik Informatika Journal of Information Technology and Computer Science Jurnal Pilar Nusa Mandiri Kinetik: Game Technology, Information System, Computer Network, Computing, Electronics, and Control IKRA-ITH Informatika : Jurnal Komputer dan Informatika JOURNAL OF APPLIED INFORMATICS AND COMPUTING Building of Informatics, Technology and Science Abdimasku : Jurnal Pengabdian Masyarakat Jurnal Sistem Komputer dan Informatika (JSON) Jurnal Pengabdian UNDIKMA Jurnal Pengabdian Literasi Digital Indonesia Indonesian Journal of Health Information Management Services (IJHIMS) Community: Jurnal Pengabdian Pada Masyarakat Prosiding Seminar Riset Mahasiswa Jurnal Informatika: Jurnal Pengembangan IT Green Engineering: Journal of Engineering and Applied Science
Fahmi Amiq
Fakultas Ilmu Komputer, Universitas Dian Nuswantoro, Semarang 50131
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 Nursing Public Health Social Sciences Other

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AGGLOMERATIVE HIERARCHICAL CLUSTERING FOR REGIONAL GROUPING IN CENTRAL JAVA BASED ON WELFARE INDICES Kurnia Desita, Raafi; Fahmi, Amiq; Rohmani, Asih; Sulistyono, MY. Teguh
Jurnal Pilar Nusa Mandiri Vol. 21 No. 1 (2025): Pilar Nusa Mandiri : Journal of Computing and Information System Publishing Pe
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33480/pilar.v21i1.6445

Abstract

Central Java Province comprises 35 regencies/cities with diverse welfare characteristics. These variations present challenges for the government in formulating targeted development policies. This study aims to group regions in Central Java based on welfare indices to support more effective policy planning. The Agglomerative Hierarchical Clustering method with the Average Linkage approach is applied to cluster the regions based on three attributes: Human Development Index, Uninhabitable Houses, and Economic Growth Rate. Data were obtained from the Central Java Provincial Social Service and the official website of the Central Statistics Agency (BPS) and processed using the proposed method. Experimental results indicate three clusters with proportions: 32 regions in cluster 1 (91.4%), 2 regions in cluster 2 (5.7%), and 1 region in cluster 3 (2.9%). Regions with higher welfare dominate the first cluster, while the second and third clusters include regions facing more significant welfare challenges. Clustering results were evaluated using the Silhouette Score (0.535) and Davies-Bouldin Index Score (0.610), demonstrating that the applied method effectively grouped regions based on the specified attributes. The findings of this study are anticipated to lay the groundwork for more directed and effective development policies.
Strategic Clustering of Poverty Areas in Central Java Using K-Means and Silhouette Evaluation Tacharri, Chusnuut; Rohmani, Asih; Fahmi, Amiq
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 2 (2025): Research Articles April 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i2.14734

Abstract

Indonesia is one of several developing nations that struggle with poverty. Central Java is one of Indonesia's provinces with the third-highest percentage of the country's inadequate. This study aims to explore and improve the application of the K-Means Algorithm in investigating socioeconomic disparities. In this study, the Elbow method is used to determine the optimal number of clusters to overcome the weaknesses in determining the number of clusters in conventional K-Means. Model evaluation using the silhouette coefficient shows the effectiveness of this method approach with a value of 0.504 and several clusters (K = 3), which meets the medium structure category. The Human Development Index (HDI) and Uninhabitable Households (RTLH) were two criteria used to categorize poverty areas using the K-Means Algorithm optimization successfully. According to the clustering results, there were 12 regions in Cluster 0, 2 in Cluster 1, and 21 in Cluster 2. These findings are anticipated to offer the Central Java Provincial Government critical insights, facilitating the development of precise and well-targeted initiatives to address deprivation issues effectively. Furthermore, a more systematic and structured optimization of the K-Means algorithm has the potential to significantly improve both the accuracy and practical relevance of studies on socioeconomic inequality in Central Java Province. This enhanced methodological approach can provide more in-depth results on data-driven regional disparities to reduce these disparities comprehensively.
Implementation of DBSCAN Algorithm for Grouping Poverty Levels in Central Java Province Fahmi, Amiq; Tsani, Maulida Aristia
Jurnal Sistem Komputer dan Informatika (JSON) Vol 6, No 4 (2025): Juni 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v6i4.8553

Abstract

Poverty is a complex problem that hampers socio-economic development in Indonesia, especially in Central Java Province, which encounters significant challenges, with a poverty rate reaching 10.77% in 2023. This study aims to identify spatial patterns of poverty in 35 districts/cities in Central Java Province by grouping areas based on the number of poor individuals reported by the Central Java Province Statistics Agency (BPS) in 2023. The Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm groups districts/cities based on poverty data density with optimized parameters to produce statistically significant clusters. The results of the analysis reveal four clusters, specifically cluster 0 (moderate poverty), cluster 1 (high poverty), cluster 2 (very high poverty), and cluster 3 (low poverty). Model validation was executed using the Silhouette Score (0.447) and Davies-Bouldin Index (0.441), which showed the validity of the clustering. This study is anticipated to provide strategic implications for the Central Java Provincial Government in formulating more effective poverty alleviation policies, such as resource allocation adjusted to each cluster's characteristics. In addition, this study enables future exploration of additional socio-economic factors influencing poverty, such as the Human Development Index, education, health, infrastructure, resource accessibility, and comparative analysis of clustering algorithms for enhanced accuracy.
Penerapan K-Nearest Neighbors (KNN) untuk Klasifikasi Aset dalam Upaya Menentukan Aset Wakaf Produktif Sugiarto, Edi; Fahmi, Amiq; Muslih, Muslih; Hendriyanto, Novi
Jurnal Transformatika Vol. 19 No. 2 (2022): January 2022
Publisher : Jurusan Teknologi Informasi Universitas Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26623/transformatika.v19i2.3356

Abstract

aset wakaf berupa tanah yang tersebar di Indonesia terbilang cukup besar, sehingga aset wakaf yang besar ini perlu dikelola dengan baik agar tidak menimbulkan banyak permasalahan yang pada akhirnya tanah wakaf tidak sesuai dengan tujuannya dan tidak dapat digunakan untuk kepentingan umat. Instrument pengamanan aset wakaf telah memenuhi, namun masih banyak muncul persoalan mengenai aset wakaf seperti menguapnya bondo wakaf, sengketa, alih fungsi, dll, sehingga dalam hal ini menunjukan bahwa banyak persoalan terkait pengelolaan aset wakaf yang harus dipecahkan. potensi wakaf sangat besar, bahkan diperkirakan potensi tanah wakaf di indonesia mencapai lima kali luas singapura, namun saat ini belum dikelola secara profesional dan lebih produktif. Penggunaan tanah wakaf di indonesia masih identik dengan masjid dan makam, padahal wakaf dapat juga dikelola menjadi aset-aset ekonomi yang menghasilkan keuntungan sehingga hasil dari wakaf produktif tersebut dapat digunakan untuk kepentingan umat. K-Nearest Neighbors (KNN) merupakan algoritma klasifikasi yang didasarkan pada analogi yaitu membandingkan data uji dengan data latih yang berada dekat dengan dan memiliki kemiripan dengan data uji tersebut, dalam penelitian ini KNN digunakan sebagai metode untuk klasifikasi aset wakaf guna mengidentifikasi aset wakaf tersebut berpotensi produtif atau tidak produktif. Penelitian dilakukan dengan menggunakan 57 data aset wakaf yang diperoleh dengan membagi menjadi 45 data untuk training dan 12 untuk testing. Hasil pengujian yang telah dilakukan membuktikan metode KNN ini memiliki akurasi yang baik untuk klasifikasi aset wakaf yaitu mencapai 93% pada data training dan 83% pada data testing.
Fairer Public Complaint Classification on LaporGub: Integrating XLM-RoBERTa with Focal Loss for Imbalance Data Zahro, Azzula Cerliana; Alzami, Farrikh; Sani, Ramadhan Rakhmat; Fahmi, Amiq; Megantara, Rama Aria; Naufal, Muhammad; Azies, Harun Al; Iswahyudi, Iswahyudi
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15260

Abstract

The advancement of digital technology has provided opportunities for governments to improve the quality of public services through citizen complaint channels. One example of this implementation in Indonesia is Lapor Gub, managed by the Dinas Komunikasi dan Informasi Provinsi Jawa Tengah (Communication and Information Agency of Central Java Province). This platform receives thousands of complaints daily, ranging from infrastructure, social issues, to illegal levies. However, the large volume of data and the imbalanced distribution of categories pose significant challenges for both manual and automated processing. This study aims to classify citizen complaint texts using XLM-RoBERTa combined with Focal Loss as an approach to handle data imbalance. The dataset consists of 53,774 complaints after data cleaning and text preprocessing. The training process applied a stratified split (78% training, 18% validation, 10% testing) and fine-tuning for 10 epochs. Model performance was evaluated using accuracy, precision, recall, and macro F1-score. The results show that the model without Focal Loss achieved 78.1% accuracy with a macro F1-score of 0.606, while the model with Focal Loss improved the macro F1-score to 0.625 with 78.5% accuracy. These findings demonstrate that the application of Focal Loss enhances the model’s ability to recognize minority categories without reducing performance on majority classes. Therefore, the combination of RoBERTa and Focal Loss offers an effective solution to support faster, fairer, and more transparent public complaint management.
Explainable Machine Learning for Poverty Prediction in Central Java Regencies and Cities Fhaldian, Wahyu; Fahmi, Amiq
Sinkron : jurnal dan penelitian teknik informatika Vol. 9 No. 4 (2025): Articles Research October 2025
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/sinkron.v9i4.15312

Abstract

Poverty remains a multidimensional challenge in Central Java, necessitating robust data-driven approaches to identify its socioeconomic determinants. This study applied six machine learning models, specifically Extreme Gradient Boosting (XGBoost), Random Forest, CatBoost, LightGBM, Elastic Net Regression, and a Stacking ensemble using district-level data from Statistics Indonesia covering demographics, education, labor, infrastructure, and household welfare. Model evaluation combined an 80:20 hold-out split, 10-fold cross-validation, and noise perturbation tests. Results show that XGBoost achieved the best individual performance (MAE = 2,180.01; RMSE = 3,512.07; R² = 0.931), while the Stacking ensemble surpassed all single learners (MAE = 2,640.99; RMSE = 3,202.79; R² = 0.942). Interpretability was ensured through SHAP (Shapley Additive Explanations), Partial Dependence Plots (PDP), and Accumulated Local Effects (ALE), consistently identifying Number of Households, Per Capita Expenditure, and Uninhabitable Houses as the most influential predictors. Counterfactual simulations indicated that increasing per capita expenditure by 10% could reduce the poverty index by 9.9%, while reducing household size by 10% lowered it by 11.3%. Robustness checks revealed Brebes as an influential district shaping model stability. Overall, the findings demonstrate that boosting and stacking ensembles, when combined with explainable AI tools, not only enhance predictive accuracy but also provide transparent, policy-relevant evidence to strengthen poverty alleviation programs in Central Java. This study contributes both methodological advances in explainable machine learning and practical insights for targeted poverty reduction strategies.
Strategi Peningkatan Literasi Digital dalam Mencegah Judi Online di Kalangan Siswa: Perspektif dari Studi Kasus Siswa SMA At-Thohiriyyah Fahmi, Amiq; Sugiarto, Edi; Budiman, Fikri; Mulyanto, Edy; Widyatmoko, Karis
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 3 (2025): SEPTEMBER 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i3.3040

Abstract

Kemajuan teknologi digital telah membawa banyak manfaat dalam bidang pendidikan dan akses informasi. Namun, kemudahan tersebut juga menghadirkan tantangan serius bagi generasi muda, khususnya maraknya praktik judi online yang memanfaatkan celah dalam literasi digital pelajar yang masih rendah. Penelitian ini bertujuan untuk mengevaluasi strategi peningkatan literasi digital sebagai upaya preventif terhadap risiko keterlibatan siswa dalam praktik judi online, dengan studi kasus di SMA At-Thohiriyyah Kota Semarang. Pendekatan penelitian yang digunakan adalah kualitatif deskriptif. Data dikumpulkan melalui survei pra dan pasca intervensi, wawancara mendalam, serta observasi partisipatif selama kegiatan pelatihan literasi digital. Fokus utama mencakup pemetaan pemahaman awal siswa, pengukuran tingkat literasi digital sebelum dan sesudah pelatihan, serta evaluasi perubahan sikap dan perilaku terhadap konten digital yang berisiko. Hasil penelitian menunjukkan peningkatan signifikan dalam kesadaran siswa terhadap dampak finansial, sosial, dan psikologis dari praktik judi online. Siswa juga menunjukkan kemampuan yang lebih baik dalam mengenali informasi kredibel, berpikir kritis terhadap konten manipulatif, serta memanfaatkan teknologi secara bijak dan bertanggung jawab. Temuan ini merekomendasikan pengembangan program literasi digital yang holistik, kontekstual, dan berkelanjutan dengan melibatkan sekolah, keluarga, serta pemangku kepentingan untuk menciptakan ekosistem digital yang aman dan suportif bagi peserta didik.
Pelatihan Penerapan Trigger dan Stored Procedure Database Pada Siswa Sekolah Menengah Kejuruan Negeri 2 Semarang Winarno, Agus; Erawan, Lalang; Irawan, Candra; Muslih, Muslih; Suharnawi, Suharnawi; Arifin, Zaenal; Fahmi, Amiq
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 8, No 3 (2025): Vol 8, No 3 (2025): SEPTEMBER 2025
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v8i3.3021

Abstract

SMK Negeri 2 Semarang yang berdiri sejak tahun 1951 terus beradaptasi untuk memenuhi tuntutan dunia industri, salah satunya dengan meningkatkan kompetensi siswa melalui Uji Kompetensi Keahlian (UKK). Salah satu tantangan yang dihadapi adalah masih terbatasnya pemahaman guru dan siswa jurusan Rekayasa Perangkat Lunak (RPL) mengenai pemanfaatan trigger dan stored procedure dalam pengelolaan basis data untuk efisiensi, keamanan, dan otomasi sistem informasi. Metode pelaksanaan pelatihan terdiri dari tahap persiapan, pelaksanaan, evaluasi, dan pelaporan kegiatan. Hasil evaluasi menunjukkan adanya peningkatan pengetahuan dan pemahaman yang signifikan. Pemahaman awal terhadap materi pelatihan berkisar antara 12,5% sampai dengan 37,5%. Setelah mengikuti pelatihan, baik guru maupun siswa menunjukkan peningkatan pengetahuan dan pemahaman sebesar 100%. Hasil penilaian menunjukkan bahwa pelatihan ini efektif dalam meningkatkan pengetahuan, pemahaman, dan kemampuan siswa dalam pengelolaan basis data khususnya trigger dan stored procedure . Simpulan dari pelatihan ini adalah keberhasilannya dalam menjembatani kesenjangan pengetahuan dan mendukung kesiapan siswa dalam memasuki dunia kerja industri.
Pendampingan Pembuatan Video Animasi untuk Siswa SMA At Thohiriyyah Semarang Astuti, Yani Parti; Utomo, Danang Wahyu; Sudibyo, Usman; Fahmi, Amiq; Kartikadarma, Etika; Dolphina, Erlin; Subhiyakto, Egia Rosi
Community : Jurnal Pengabdian Pada Masyarakat Vol. 4 No. 3 (2024): November : Jurnal Pengabdian Pada Masyarakat
Publisher : LPPM Sekolah Tinggi Ilmu Ekonomi - Studi Ekonomi Modern

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51903/3s4ejr82

Abstract

Information technology has developed and provided progress such as the increasing use of computers and the internet in the world, especially in the world of education. Through computers and the internet, all information can be disseminated and can be used as learning materials for students. The development of information technology and the internet, not all information is disseminated positively. Some information is disseminated negatively such as fake news (hoaxes), radicalism, and hate speech. There needs to be skills in using the development of information technology. Digital literacy trains users not only to be proficient in using information technology but also to have the ability to think critically, creatively, and innovatively to produce digital competence. SMA At Thohiriyyah is one of the high schools in Semarang that focuses on understanding and improving the abilities of its students in digital literacy. Insight is needed for SMA At Thohiriyyah students in understanding the importance of digital literacy. Animation video training is one way to increase student creativity in digital literacy in creating learning videos. With this training, it is hoped that students can develop learning videos that can be used on social media such as YouTube
Manajemen Sampah Dalam Meningkatkan Circular Economy Di Desa Kebuman, Kecamatan Banyubiru, Semarang Hadi, Heru Pramono; Gamayanto, Indra; Faisal, Edi; -, Suhariyanto; Fahmi, Amiq
ABDIMASKU : JURNAL PENGABDIAN MASYARAKAT Vol 7, No 1 (2024): JANUARI 2024
Publisher : LPPM UNIVERSITAS DIAN NUSWANTORO

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62411/ja.v7i1.1743

Abstract

Abstrak Permasalahan sampah sudah menjadi permasalahan dunia, terutama sampah anorganik dan B3 yang tidak dapat diurai secara alami, sementara jumlah produksi sampah terus bertambah seiringdengan pertumbuhan penduduk. Dari data statistik Kabupaten Semarang jumlah sampah yang terangkut mulai tahun 2019 sebanyak : 220 487 M3, tahun 2020 : 247 095 M3 dan tahun 2021 : 280 859 M3, hal ini menunjukkan peningkatan jumlah sampah naik secara liner. Desa KebumenKecamatan Banyubiru Kabupaten Semarang menghadapi permasalahan yang serupa dengan meningkatnya volume sampah rumah tangga berdampak pada lingkungan yang kurang sehat. Meskipun sudah ada bank sampah pada wilayah tersebut namun ada beberapa kendala yangdihadapi yaitu manajemen sampah, reduce, reuse dan recycle atau 3 R belum optimal. Program PKM (Program Kemitraan Masyarakan) Universitas Dian Nuswantor dengan penerapan manajemen sampah yang efektif dan efisien dengan metode FDG (Focus Group Discussion) dan Edukasi dan Pelatihan diharapkan sampah yang terdapat diwilyah tersebut diolah baik sehingga dapat meniminalkan dampak negatif sampah terhadap lingkungan hidup desa Kebumen dan dapatmenciptakan circular ekonomi, sehingga dapat meningkatkan taraf ekonomi masyarakat setempat Kata kunci: Pengelolaan, Sampah, Manajemen, Taraf Hidup, Ekonomi
Co-Authors -, Suhariyanto Abdul Rohim, Abdul Abu Salam Agus Winarno Agus Winarno Agus Winarno, Agus Al zami, Farrikh Alif, Moh. Fachri Alzami, Farrikh Anggit Wicaksono, Natanael Apriyanti Apriyanti Ardianda Aryo Prakoso Ariel Bagus Nugroho Asih Rohmani Asih Rohmani, Asih Astuti, Yani Parti Budi Harjo Budiono Budiono Candra Irawan Catur Supriyanto Cinantya Paramita Ciputra, Indramawan Diana Purwitasari Edi Faisal Edi Sugiarto Edi Sugiarto Edi Sugiarto Edi Sugiarto Edi Sugiarto Edi Sugiarto Edi Sugiarto Edy Mulyanto Egia Rosi Subhiyakto, Egia Rosi Erlin Dolphina Etika Kartikadarma Fhaldian, Wahyu Fikri Budiman Fikri Budiman Hadi, Heru Pramono Harun Al Azies Husna, Farida Amila Indra Gamayanto ISWAHYUDI ISWAHYUDI Karis Widyatmoko Kurnia Desita, Raafi Lalang Erawan Laurensius Tokan, Geraldinho Lintang Mekar Tanjung Mauridhi Hery Purnomo Megantara, Rama Aria Moch. Eko Rustiyono Muhammad Fais Ramadhani Muhammad Hilmy Munsarif Muhammad Naufal Muljono, - Mulyanto, Edy Muslih Muslih MY Teguh Sulistyono MY. Teguh Sulistyono Nasrudin Affandi Prasetyo Noorsidi Aizuddin Bin Mat Noor Nova Rijati Novi Hendriyanto, Novi Prasetya, Rakan Shafy Pujiono Pujiono Pujiono Pujiono Pujiono Putra, Wahyu Bagus Wicaksono Raden Arief Nugroho Ramadhan Rakhmat Sani Respati Wulandari Ridha Rahmawati Ridho Pambudi Rizky Adrianto Salsabila, Rizka Mars Sidharta, Bayu Adjie Sihombing, Drigo Alexander Sri Winarno Sudibyo, Usman Suharnawi Suharnawi Suryo Adi Nugroho Syifa Sofia Wibowo Tacharri, Chusnuut Tsani, Maulida Aristia Utomo, Danang Wahyu Y. Tyas Catur Pramudi Yumna Huwaida, Imtiyaz Yuventius Tyas Catur Pramudi Zaenal Arifin Zahro, Azzula Cerliana