Garuda - Garba Rujukan Digital

Achmad Saleh

Unknown Affiliation

Author-ID : 369102

Computer Science & IT Veterinary

Published : 3 Documents Claim Missing Document

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Articles

Dairy farming production factors in Garut and Bogor Muljadi, Agus; Saleh, Achmad
Indonesian Journal of Animal and Veterinary Sciences Vol 1, No 1 (1995)
Publisher : Indonesian Animal Sciences Society

Dairy farming in West Java is still dominated by small scale. The research focussed on production factors of dairy fanning which are influencing the farmers income from selling milk . The research was carried out in 1993 via survey to 30 respondents in Garut and Bogor. The results showed that the profit earned per month from dairy farming was Rp 130,331 and Rp 118,449 in Garut and Bogor, respectively . Return to labor from dairy farming was Rp. 4.56 in Bogor and Rp. 4.38 in Garut. The production factors positively affecting the income of the farmers from selling milk were cost for barn, concentrate feed, animal health care and artificial insemination, labor, and number of lactating cows . In addition, several production factors such as cost for forages, retribution cost, and number of male calf were proven negatively affecting the income of the Canners from selling milk . Therefore, thrive related production factors should be considered in developing small scale dairy farming, not only from availability of inputs but also from institutional aspect . Key words : Production factor, milk, dairy cows

Dairy farming production factors in Garut and Bogor Agus Muljadi; Achmad Saleh
Jurnal Ilmu Ternak dan Veteriner Vol 1, No 1 (1995)
Publisher : Indonesian Center for Animal Research and Development (ICARD)

Dairy farming in West Java is still dominated by small scale. The research focussed on production factors of dairy fanning which are influencing the farmers income from selling milk . The research was carried out in 1993 via survey to 30 respondents in Garut and Bogor. The results showed that the profit earned per month from dairy farming was Rp 130,331 and Rp 118,449 in Garut and Bogor, respectively . Return to labor from dairy farming was Rp. 4.56 in Bogor and Rp. 4.38 in Garut. The production factors positively affecting the income of the farmers from selling milk were cost for barn, concentrate feed, animal health care and artificial insemination, labor, and number of lactating cows . In addition, several production factors such as cost for forages, retribution cost, and number of male calf were proven negatively affecting the income of the Canners from selling milk . Therefore, thrive related production factors should be considered in developing small scale dairy farming, not only from availability of inputs but also from institutional aspect .

Deteksi Dini Pneumonia Berbasis Gejala Klinis Menggunakan Random Forest: Early Detection of Pneumonia Based on Clinical Symptoms Using Random Forest Mukhtar, Ridha; Saleh, Achmad; Rusdah, Rusdah
MALCOM: Indonesian Journal of Machine Learning and Computer Science Vol. 6 No. 4 (2026): MALCOM October 2026
Publisher : Institut Riset dan Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57152/malcom.v6i4.2796

Pneumonia merupakan salah satu penyakit pernapasan akut dengan tingkat morbiditas dan mortalitas yang tinggi, terutama pada anak-anak dan lansia. Keterbatasan fasilitas radiologi dan laboratorium di beberapa wilayah menyebabkan proses diagnosis dini pneumonia menjadi kurang optimal. Penelitian ini bertujuan untuk membangun model deteksi dini pneumonia berbasis gejala klinis menggunakan algoritma Random Forest. Metode penelitian mengacu pada kerangka kerja CRISP-DM yang meliputi tahap business understanding, data understanding, data preparation, modelling, evaluation, dan deployment. Dataset penelitian diperoleh dari rekam medis RSUD H. Damanhuri Barabai dengan atribut berupa jenis kelamin, usia, tinggi badan, berat badan, suhu tubuh, batuk, dahak, nyeri dada, sesak napas, laju pernapasan, dan muntah. Evaluasi model dilakukan menggunakan confusion matrix dan 10-fold Cross-validation. Hasil penelitian menunjukkan bahwa algoritma Random Forest menghasilkan performa terbaik dengan nilai akurasi sebesar 89,82%, recall 95,24%, precision 90,53%, dan AUC 0,9469. Hasil ini menunjukkan bahwa model mampu mendeteksi pneumonia secara efektif dan berpotensi menjadi alat bantu pengambilan keputusan medis, khususnya pada fasilitas kesehatan dengan keterbatasan sarana diagnostik.

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