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ANALISIS PENJUALAN AYAM AFKIR TERHADAP PENDAPATAN (STUDI KASUS PT. CAHAYA MARIO 3 PUTRI SIDRAP) Mihrani; Amanda; Aisyah; Ilham Ahmad
Jurnal Ekonomi Bisnis dan Akuntansi Vol. 1 No. 3 (2021): Desember : Jurnal Ekonomi Bisnis dan Akuntansi (JEBAKU)
Publisher : Pusat Riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jebaku.v1i3.1897

Abstract

Ayam afkir merupakan ayam petelur yang sudah tidak produktif bertelur akan tetapi memiliki nilai ekonomis. Penelitian ini bertujuan untuk menganalisis penjualan ayam afkir dan untuk mengetahui pengaruh pendapatan terhadap perusahaan. Penelitian ini dilakukan pada bulan Januari-April 2021 di PT. Cahaya Mario 3 Putri Kabupaten Sidrap. Metode penelitian ini adalah penelitian kuantitatif dengan menggunakan data primer dan data sekunder. Teknik pengumpulan data yaitu observasi, wawancara dan dokumentasi. Sedangkan teknik pengolahan data yang digunakan untuk melakukan perhitungan penelitian ini yaitu total biaya, penerimaan, pendapatan dan R/C Rasio. Hasil penelitian menunjukkan bahwa penjualan ayam afkir di PT. Cahaya Mario 3 Putri, periode tahun 2018 - 2020 dilaporkan hasil yang menguntungkan. Pada tahun 2018 total pendapatan sebanyak Rp. 31.010.038.560,-. Pada tahun 2019 total pendapatan sebanyak Rp. 28.881.533.000,-. Pada tahun 2020 dengan jumlah ayam afkir sebanyak 66.000 ekor dengan total pendapatan sebanyak Rp. 33.756.720.480,-. Pengaruh pendapatan terhadap penjualan ayam afkir pada perusahaan PT. Cahaya Mario 3 Putri, pada periode tahun 2018 - 2020 memiliki nilai R/C ratio > 1, yang berarti sangat menguntungkan. Hasil yang diperoleh tersebut sangat berpengaruh terhadap pendapatan yang diperoleh PT. Cahaya Mario 3 Putri
ANALISIS FAKTOR- FAKTOR YANG BERPENGARUH TERHADAP PERMINTAAN TELUR AYAM RAS: STUDI KASUS: PERUSAHAAN ADAM FARM MAGETAN Subhan Effendi; Nismawarni Nismawarni; Ilham Ahmad
EKONOMIKA45 :  Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan Vol. 11 No. 2 (2024): Juni : Jurnal Ilmiah Manajemen, Ekonomi Bisnis, Kewirausahaan
Publisher : Fakultas Ekonomi Universitas 45 Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30640/ekonomika45.v11i2.2414

Abstract

Changes in people's lifestyles that are increasingly concerned with health and nutrition for animal protein will be able to increase the demand for purebred chicken eggs. Demand for purebred chicken eggs at certain times will increase such as Eid al-Fitr or other holidays and demand will decrease on ordinary days. The purpose of this study was to determine what factors affect the demand for purebred chicken eggs at Adam Farm Company. This research was conducted in November 2023 at Adam Farm Company located in Kiringan Village, Magetan Regency, East Java. The data collection techniques used in this research are surveys, interviews, documentation, and questionnaires. The data analysis technique used in this study is quantitative using multiple linear regression tests. The results showed that partially the factors of broiler egg price, egg quality, number of dependents had a significant influence on the demand for broiler eggs, while the price of tempeh had no significant effect on the demand for broiler eggs. But simultaneously that the price of purebred chicken eggs, egg quality, number of dependents and the price of tempeh have a significant effect on the demand for purebred chicken eggs because the significant value obtained is 0.000 <0.05. So these factors together have a positive influence on the demand for purebred chicken eggs at Adam Farm Company in Magetan, East Java. The influence given by all these factors is 55.3% on the demand for purebred chicken eggs. While 48.2% is influenced by other factors outside this study.
Rancangan Membangun Desa Mandiri dengan Pemetaan Potensi Desa : Studi pada Desa Kanigoro Kabupaten Gunungkidul Bambang Sulistyono; Ilham Ahmad; Dinda Ariyanti; Livanda Putri; Alinsya Pangistia; Shinta Falasifa; Raihan Nur; Daffa Dhiya; Annissa Salsabilla; Queennniken Yuliana; Suci Elhawa
Jurnal Pengabdian Masyarakat Nusantara Vol. 6 No. 3 (2024): September : Jurnal Pengabdian Masyarakat Nusantara
Publisher : Universitas Muhammadiyah Manado

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.57214/pengabmas.v6i3.562

Abstract

One of the advanges of an island nation is possessing abundant natural resource potentials. Kanigoro Village which located at Kapanewon Saptosari, Gunung Kidul is a kind of village that has many natural resource potentials. To maximize the natural resource potentials in Kanigoro Village, field study students of Sebelas Maret University plan to create a village potential mapping. Implemented Methods of field study program involve some activities such as students provision, location placement, and implementation of program. Facilities located at Kanigoro Village are sufficient to provide it’s living such as formal and nonformal education, health facilities, government facilities such hall village to anticipate disasters for example tsunami and landslide. In general, it is also explained that the education level of the people of Kanigoro village is relatively high. Kanigoro Village possess a huge potential in tourism and culture. Those huge potential need to be improved as an attraction in order to attract tourists to visit Kanigoro Village.
Analisa Angka Kapang dan Khamir Pada Lulur Bedda Lotong Dengan Penambahan Rumput Laut (Eucheuma cottonii) Rahmawati Saleh; Andi Santi; Tasir Pammula; Ilham Ahmad; Ernawati Jassin; Afdalia Afdalia
JURNAL RISET RUMPUN MATEMATIKA DAN ILMU PENGETAHUAN ALAM Vol. 4 No. 1 (2025): April : Jurnal Riset Rumpun Matematika dan Ilmu Pengetahuan Alam
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrimipa.v4i1.4557

Abstract

Bedda Lotong is a traditional scrub from the Bugis tribe of South Sulawesi, Indonesia. The name ‘Bedda Lotong’ literally means ‘black powder’ in Bugis language, referring to the distinctive black colour of this scrub which comes from its main ingredient, white glutinous rice that is roasted until burnt. The purpose of this study was to determine the number of colonies of moulds (thread moulds) and yeasts (one-celled fungi) in Bedda Lotong with the addition of Eucheuma cottoni seaweed. In addition, this study also aimed to determine the level of panellists' liking through organoleptic tests. The research design used was a factorial Completely Randomised Design (CRD) with 3 levels of treatment with 3 replications. The treatment of adding Eucheuma cottoni seaweed as a microbial growth inhibitor. Data processing was done with analysis of variance (ANOVA) test and continued with Duncan test using SPSS V.23 software. Based on the results of the study, it was obtained that the effect of the addition of Eucheuma cottoni seaweed did not significantly affect the ALT/TPC test (>0.05) (0.087) and had a significant effect (<0.05) (0.003) on the Bedda Lotong pH test and in the treatment of A1 (5%) and B1 (10%) seaweed concentrations gave organoleptic test scores from panellists, namely a score of 4 (like).
Optimasi Parameter Kinetika Pengeringan Buah Mengkudu (Morinda citrifolia) dengan Pendekatan Solver Tools Ernawati Jassin; Imran Muhtar; Rahmawati Saleh; Luthfiah Luthfiah; Ilham Ahmad; Kusniati Kusniati
Jurnal Riset Rumpun Ilmu Tanaman Vol. 4 No. 1 (2025): April : Jurnal Riset Rumpun Ilmu Tanaman
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurrit.v4i1.5495

Abstract

Noni (Morinda citrifolia L. (Rubiaceae) is a medicinal plant that contains bioactive compounds with antioxidant and antibacterial properties. More than 160 phytochemical components have been identified in noni plants, most of which are polyphenol and antioxidant compounds. The purpose of this study was to determine a mathematical model of thin-layer drying in maximizing the development that can identify the characteristics of noni fruit. This study used an experimental method with slicing thickness treatments, namely: 3 mm, 5 mm and 7 mm, the drying tool used was a cabinet dryer, different temperature treatments ranging from 45 oC, 55 oC and 65 oC, with different drying times, namely: 3 mm thickness for 14 hours, 5 mm thickness for 16 hours and 7 mm thickness for 17 hours. The observation data were analyzed using a mathematical approach to complete the calculation of the mathematical model, the moisture ratio value was applied to various mathematical models, namely: the Midili et al, Page, Henderson pabis, logarithmic, Newton and modified Page models. Determination of constant values ​​using Microsoft Excel Solver Tools with input each drying model or equation used and curve fitting is carried out using non-linear regression analysis. The thin-layer drying model is obtained by finding the constant values ​​k, a and n of each model so that the best model for thin-layer drying of noni fruit is the page model for all temperatures with an R2 value at a temperature of 45 oC of 0.995 (RMSE 0.003), the R2 value at a temperature of 55 oC is 0.993, (RMSE 0.001) and at a temperature of 65 oC the R2 value is 0.992 (RMSE 0.000).
Analisis Peramalan Persediaan Bahan Baku dan Penentuan Stok Penyangga (Buffer Stock) Udang Vaname (Littopenaeus vannamei) Ilham Ahmad; Marhama Maulah; Andi Ridwan Makkulawu; Imran Muhtar
JURNAL RISET RUMPUN ILMU TEKNIK Vol. 3 No. 1 (2024): April : Jurnal Riset Rumpun Ilmu Teknik
Publisher : Pusat riset dan Inovasi Nasional

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55606/jurritek.v3i1.2810

Abstract

This study examines the analysis of raw material inventory forecasting and buffer stock of vaname shrimp at one of the fishery companies in Makassar Industrial Estate (PT Bogatama Marinusa Makassar). The analysis method used to determine the supply of raw materials needed by the company is the ARIMA Box-Jenkins method. This method is used to forecast raw material inventory on time series data. Determination of buffer stock is done using standard deviation and policy factors. Vaname shrimp (Littopenaeus vannamei) raw material data was obtained from 2020 to 2022 (156 weeks). The results showed that the highest amount of raw material inventory occurred in October week 147 in 2022, amounting to 152,792 tons, while the lowest amount of raw material inventory occurred in May week 122 in 2022, amounting to 13,102 tons. The best vaname shrimp raw material inventory model is the ARIMA (1,1,1) model which has a Sum Square Error (SSE) value of 1.70250, Mean Square Error (MSE) value of 0.0112007. This model is used to forecast raw material inventory for the next 48 weeks. The forecasting results show that there will be a decrease in week 1 to week 6 and a relative increase in raw materials in week 7 to week 48 with a MAPE value of 4.54%. The amount of buffer stock that must be owned by the company is 37.311 tons.