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All Journal At-Taqaddum Management Analysis Journal Jurnal Kedokteran Gigi Universitas Padjadjaran Jurnal Ilmiah Peuradeun Jurnal STIE Semarang (Edisi Elektronik) Tunas: Jurnal Pendidikan Guru Sekolah Dasar Mudir : Jurnal Manajemen Pendidikan Studi Kasus Inovasi Ekonomi JURNAL CAPITAL : Kebijakan Ekonomi, Manajemen dan Akuntansi Darul Ilmi: Jurnal Ilmu Kependidikan dan Keislaman Jurnal Pengabdian Masyarakat: Humanity and Medicine International Journal Of Computer, Network Security and Information System (IJCONSIST) Wijaya Putra Law Review ILTEK : Jurnal Teknologi Scoring: Journal of Film Music Neurona Addabani: Interdisciplinary Journal of Islamic Education Jurnal Pengabdian Masyarakat Management Analysis Journal Journal of Nonformal Education Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Inovasi Sosial: Jurnal Pengabdian Masyarakat House of Wisdom: Journal on Library and Information Sciences
Achmad Junaidi, Achmad
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Dentistry Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Law, Crime, Criminology & Criminal Justice Materials Science & Nanotechnology Mechanical Engineering Medicine & Pharmacology Neuroscience Nursing Public Health Social Sciences Other

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Pelatihan Manajemen Keuangan Bagi UMKM Rumah Kreatif BUMN Bank BRI Cabang Kota Semarang Hartarini, Yovita Mumpuni; Sopi, Sopi; Nafiah, Zumrotun; Junaidi, Achmad
Jurnal Pengabdian Masyarakat (JUDIMAS) Vol. 2 No. 1 (2024)
Publisher : Pusat Penelitian dan Pengabdian Masyarakat STIKes Banyuwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54832/judimas.v2i1.179

Abstract

Kegiatan ini diselenggarakan atas dasar banyaknya Usaha Mikro, Kecil, dan Menengah (UMKM) belum melakukan pengelolaan keuangan atas kegiatan usahanya. Pelaksanaan kegiatan ini melibatkan UMKM yang ada di Kota Semarang. Dengan memanfaatkan manajemen keuangan, UMKM dapat menghasilkan pengelolaan keuangan usahanya dengan mudah, cepat, dan tepat. Hasil dari kegiatan ini adalah UMKM menghasilkan pengelolaan keuangan usahanya yang dapat digunakan sebagai informasi dan kontrol usahanya.
Bitcoin Mining Hardware Profitability Prediction Using Categorical Boosting and Extreme Gradient Boosting Algorithms Dimas Satria Prayoga; Puspita Sari, Anggraini; Junaidi, Achmad
Indonesian Journal of Electronics, Electromedical Engineering, and Medical Informatics Vol. 7 No. 1 (2025): February
Publisher : Jurusan Teknik Elektromedik, Politeknik Kesehatan Kemenkes Surabaya, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35882/9xb2dz14

Abstract

Cryptocurrencies, especially Bitcoin, have gained global recognition, with mining being one of its most interesting aspects. This is especially important in the context where only a few types of bitcoin mining rigs are expected to operate profitably. On the other hand, in the field of machine learning, there are widely used algorithms, namely Extreme Gradient Boosting (XGBoost), which is known for its effectiveness, and Categorical Boosting (CatBoost), which excels in handling categorical data. This study aims to combine the performance of CatBoost and XGBoost using the Ridge Regression technique in predicting a case study that is not often encountered, namely predicting the profitability of Bitcoin mining hardware. The main steps include collecting data from reliable sources, preprocessing the data to ensure compatibility, feature selection to select the most relevant features, building a prediction model using the preprocessed data set, and then training and testing both models to evaluate their predictive accuracy. The evaluation metrics on the test data reveal the performance of CatBoost, XGBoost, and the CatBoost-XGBoost. CatBoost demonstrates a training time of 3.35 seconds with a MAPE of 15.67% and an RMSE of 0.1733. In comparison, XGBoost has a longer training time of 5.27 seconds but achieves a significantly lower MAPE of 6.49% and an RMSE of 0.1737. Meanwhile, the CatBoost-XGBoost, with the longest training time of 6.84 seconds, delivers a competitive MAPE of 6.57% and the lowest RMSE of 0.1696 among the three approaches. These results highlight that while XGBoost and CatBoost meta model outperform CatBoost in terms of accuracy, the Ridge meta model provides slightly better overall predictive performance based on RMSE.
Pendampingan Pengembangan Soft Skills Ibu-Ibu Mekar di Era Society 5.0 di Kota Semarang Fidyah Yuli Ernawati; Hendrayanti, Silvia; Junaidi, Achmad
Inovasi Sosial : Jurnal Pengabdian Masyarakat Vol. 2 No. 4 (2025): November : Inovasi Sosial : Jurnal Pengabdian Masyarakat
Publisher : Lembaga Pengembangan Kinerja Dosen

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62951/inovasisosial.v2i4.2521

Abstract

This community service activity aims to improve the soft skills capacity of the Ibu-Ibu Mekar community in Semarang City to face the demands of the Society 5.0 era. The program was implemented through four stages: needs assessment, participatory planning, training, and mentoring. The methods used included interactive lectures, group discussions, role-play, and contextual practice. The results of the activity showed significant improvements in participants' communication, creativity, collaboration, and problem-solving skills. In addition, several participants began to demonstrate informal leadership roles and greater involvement in community activities. These findings indicate that the experience-based participatory mentoring approach is effective in strengthening women's empowerment and preparing communities for socio-technological change. The program also helped participants develop adaptability to change, increased self-confidence, and facilitated the formation of broader social networks in their communities. Empowering women through soft skills development is expected to create a more resilient community in facing the challenges posed by digital transformation in the Society 5.0 era. This program emphasizes the importance of sustainable soft skills development as a foundation for community resilience in the Society 5.0 era.
IMPLEMENTASI ARSITEKTUR EFFICIENTNETB2 UNTUK KLASIFIKASI CITRA DAUN HERBAL Oktaviana, Dinda Friska; Junaidi, Achmad; Al Haromainy, Muhammad Muharrom
ILTEK : Jurnal Teknologi Vol. 20 No. 02 (2025): ILTEK : Jurnal Teknologi
Publisher : Fakultas Teknik Universitas Islam Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47398/iltek.v20i02.257

Abstract

Daun herbal telah lama dimanfaatkan sebagai bahan pengobatan tradisional di Indonesia, namun proses identifikasi jenisnya sering menjadi tantangan akibat keterbatasan pengetahuan masyarakat dan kemiripan visual antar daun herbal. Penelitian ini bertujuan menguji performa model klasifikasi daun herbal untuk memperoleh akurasi optimal. Metode yang digunakan adalah CNN dengan arsitektur EfficientNetB2 untuk mengklasifikasikan citra sepuluh jenis daun herbal Indonesia. Dataset merupakan gabungan data primer dan sekunder, yang kemudian dibagi menjadi 80:20 untuk pelatihan dan pengujian. Tiga skenario jumlah epoch diterapkan, yaitu 10, 20, dan 30, dengan konfigurasi tiga hidden layer yang masing-masing berisi 128 neuron. Hasil pengujian menunjukkan bahwa konfigurasi terbaik diperoleh pada skenario 30 epoch dengan akurasi rata-rata mencapai 99,09%. Nilai presisi, recall, dan f1-score pada skenario ini masing-masing sebesar 99%, menunjukkan kinerja yang sangat tinggi dan konsisten. Selisih performa antar skenario pengujian tergolong tipis, sehingga setiap konfigurasi mampu memberikan hasil yang kompetitif. Selain itu, model berhasil membedakan jenis daun dengan kemiripan visual tinggi secara akurat. Dengan demikian, EfficientNetB2 berhasil mencapai akurasi optimal untuk klasifikasi citra daun herbal.
Co-Authors Abadi , Totok Wahyu Adwirianny, Ashita Hulwah Agung Prasetyawan AHMADI Amar, Muhammad Ana Afida Anggraeni, Dya Anggraini Puspita Sari Aryanto, Tossy Awerman Awerman Buhori, A Ary Firman Chotib, Moc Dimas Satria Prayoga Elsa Adelia, Febri Enggardipta, Raras Ajeng Febrianti, Sania Fidyah Yuli Ernawati, Fidyah Yuli Hartarini, Yovita Mumpuni Hendrayati, Selvia Ibnu Elmi AS Pelu Irawan, Dedy Khairil Anwar Lesmana, Dimas Bayu Putra marisdina, selly Marsha Ayunita Irawati Mohamad Rifqy Roosdhani Mohammad Irfan Mufti Muhammad Muharrom Al Haromainy Muhammad Noor Muhlisa, Safitri Nainggolan, Putri Drani Nawawi, Muh Nindhita, Yoga Octavinawaty, Lenny Okparasta, Andika Oktaviana, Dinda Friska Permani, Dyah Pradana, Adi Pramesti, Adella Anggia Pribadi Santosa Rafiqi, Ilham Dwi Rahmat Fauzi Ramadhoni, Pinto Desti Rini Nindela, Rini Robita, Achmad Rosa, Marta Samsul Arifin Sari, Oki hardiyanti Rukmana Silvia Hendrayanti Sopi, Sopi Subekti, Heny Syahruddin Hattab Tri Endra Untara, Tri Endra Tsanie, Maria Latifa Tunjung Nugraheni Wahyudi Wahyudi Yulita Kristanti Yusril Yusril Zumrotun Nafiah