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All Journal INJECT (Interdisciplinary Journal of Communication) Budimas : Jurnal Pengabdian Masyarakat Journal of Science and Technology Jurnal Informatika Dan Tekonologi Komputer (JITEK) Jurnal Informatika Dan Tekonologi Komputer
hendri noviyanto
Universitas Surakarta
Religion Arts Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Mathematics Social Sciences Other

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PENINGKATAN PRODUKSI SAPI, MELALUI KOMUNIKASI 3 IN 1 DAN REKAYASA MESIN PENCACAH PAKAN Jeratallah Aram Dani; Hendri Noviyanto; Bayu Mukti; Achmad Nurhidayat
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol 4, No 2 (2022): BUDIMAS : VOL. 04 NO. 02, 2022
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v4i2.5329

Abstract

Komunikasi merupakan proses penyampaian makna satu entitas atau kelompok ke kelompok lainnya, melalui penggunaan tanda, simbol dan aturan semiotika yang dipahami bersama. Penggunaan ilmu komunikasi di masyarakat sebagian belum memenuhi kreteria tersebut, salah satu contoh yang terjadi pada kelompok tani di Klaten, tepatnya didaerah Desa siaga Bencana, Kecamatan Kemalang sekitar 8 km dari puncak Gunung Merapi. Permasalahan utama para tani peternak sapi saat mempersiapkan pencacahan bahan pakan dari rumput gajah, batang jagung dan rumput lainnya, masih dilakukan secara manual. Tujuan pengabdian masyarakat ini meningkatkan metode komunikasi petani ternak sapi melalui rekayasa IPTEK. Pelaksanaan program diawali dengan komunikasi interaksi bersama petani hingga terbentuk kelompok tani. Selanjutnya identifikasi antara pengabdi dan mitra melakukan perhitungan kebutuhan pakan untuk menentukan kapasitas mesin dalam satu kelompok. Hasil pengabdian masyarakat ini, dalam satu kelompok kecil (4-6 peternak sapi), dengan kapasitas mesin asumsi kerja kontinyu mampu mencacah bahan pakan rumput gajah, batang/tongkol jagung dan rumput lainnya, hingga 480 kg/jam. Jika dibandingkan dengan sistem manual dilakukan 5 orang asumsi kontinyu diperoleh maksimal 250 kg/jam. Berdasarkan hasil produksi cacahan bahan pakan sapi tersebut, bahwa mesin ini mampu bekerja lebih baik sekitar 47,9% dibanding manual, sehingga telah sesuai harapan kelompok Mitra dan ke depannya perlu rekayasa mesin pencacah secara otomatis. Kata kunci: : Komunikasi, linier, interaksi, transaksi, rekayasa IPTEK
Digital Communication and Social Change Aqiqah Services During The Covid-19 pandemic Jeratallah Aram Dani; Hendri Noviyanto
INJECT (Interdisciplinary Journal of Communication) Vol 7, No 1 (2022)
Publisher : UIN Salatiga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18326/inject.v7i1.21-32

Abstract

Aqiqah is an order for Muslims to be grateful for the blessings of Allah because they have entrusted a baby. In Indonesia, Aqiqah has become a business field for Aqiqah services such as livestock sales and meat processing services. However, during the COVID-19 pandemic, Aqiqah services experienced a decline in enthusiasts. This is due to the fear of transmitting the Covid-19 virus when visiting farmers sometimes. This study aims to analyze the effect of digital communication during the covid-19 pandemic on the sale of livestock for Aqiqah. So that the social changes that occur can still be overcome. The research method for the data collection process uses observation, interview, and documentation techniques. The data obtained were processed using validity and reliability techniques. Data analysis used the T-Test technique. The results of the study were assisted by SPSS software to analyze results. Of the 32 questions, 16 questions were obtained that were ready to be tested after going through the validation and reliability tests. The questionnaire was tested on 32 respondents with the results processed using the One-Sample Kolmogorov-Smirnov Test technique, the Absolute value (D) was 0.242, this value is smaller than the table value of 1.7, so the data is said to be normally distributed. Test scores on Levene's Sig. of 0.397 states that the data have the same variance, while the T-Test value on Asymp. Sig. (2-tailed) of .000 which states that using digital media is enough to affect the results of livestock sales.
IMPLEMENTASI ALGORITME NAIVE BAYES UNTUK MENENTUKAN KELAYAKAN CALON PENERIMA BEASISWA Hendri Noviyanto; Bayu Mukti
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 1 No. 2 (2021): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v1i2.378

Abstract

Scholarships are a form of assistance given to students who have good academic abilities or to their parents who cannot afford to pay for their education. In its application, the selection process for prospective scholarship recipients is carried out manually by comparing the applicant files. This form of selection is very time-consuming and therefore ineffective and inefficient. Another obstacle is that the decision maker has difficulty in deciding who will get the scholarship, and there are many other obstacles faced. The purpose of this study is to assist decision-makers in the selection process for prospective scholarship recipients easily and quickly. The dataset in this study uses eight attributes with 100 instances. The classification method used is the Naïve Bayes Algorithm. The validation process uses the split test technique. This method is compared with other methods such as C4.5 and KNN. The results of this research process, the proposed method can predict prospective scholarship recipients correctly as evidenced by an accuracy value of 90%. However, other algorithms also get the same accuracy value in the 80:20 split test, the accuracy obtained is different when the 70:30 split test score with nave Baye is ranked first. Seeing the results obtained, the Naïve Bayes algorithm can be applied to a decision support system to determine prospective scholarship recipients properly.
Prediksi Kesiapan Kerja Mahasiswa menggunakan Algoritme K-Means dan C4.5 Hendri Noviyanto; Bayu Mukti
Journal of Science and Technology Vol 2, No 2: September 2022
Publisher : UIN Imam Bonjol Padang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15548/jostech.v2i2.4422

Abstract

Student work readiness is quite influential on the existence of a university. The waiting time required by students to get a job can affect the mentality of students and the value of higher education from the assumptions of society. This will greatly affect the interest of parents or prospective students to continue their education at universities that have a bad image. Therefore, predictions of student work readiness before graduation are needed for consideration by higher education institutions to overcome the problem of waiting time for student work after graduation. The source of this research data is obtained from the Surakarta University database by utilizing alumni data from tracer studies as train data and 6-semester active student data as test data. The initial step taken is preprocessing to eliminate noise that can interfere with or affect the final result. The research method that will be used is to implement the K-Means and C4.5 algorithms for grouping and prediction processes. The data train used is 150 data and the testing data is 59 data. The results obtained by the K-Means algorithm can cluster 143 data correctly by comparing with the original data. The best cluster value obtained is K = 3. 
IMPLEMENTASI ALGORITME NAIVE BAYES UNTUK MENENTUKAN KELAYAKAN CALON PENERIMA BEASISWA Hendri Noviyanto; Bayu Mukti
Jurnal Informatika Dan Tekonologi Komputer (JITEK) Vol. 1 No. 2 (2021): Juli : Jurnal Informatika dan Teknologi Komputer
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jitek.v1i2.378

Abstract

Scholarships are a form of assistance given to students who have good academic abilities or to their parents who cannot afford to pay for their education. In its application, the selection process for prospective scholarship recipients is carried out manually by comparing the applicant files. This form of selection is very time-consuming and therefore ineffective and inefficient. Another obstacle is that the decision maker has difficulty in deciding who will get the scholarship, and there are many other obstacles faced. The purpose of this study is to assist decision-makers in the selection process for prospective scholarship recipients easily and quickly. The dataset in this study uses eight attributes with 100 instances. The classification method used is the Naïve Bayes Algorithm. The validation process uses the split test technique. This method is compared with other methods such as C4.5 and KNN. The results of this research process, the proposed method can predict prospective scholarship recipients correctly as evidenced by an accuracy value of 90%. However, other algorithms also get the same accuracy value in the 80:20 split test, the accuracy obtained is different when the 70:30 split test score with nave Baye is ranked first. Seeing the results obtained, the Naïve Bayes algorithm can be applied to a decision support system to determine prospective scholarship recipients properly.
Co-Authors Abda Abda Bayu Mukti Bayu Mukti Jeratallah Aram Dani