The purpose of the study was to determine the contribution of the manufacturing sector to the gross regional domestic product in Jayapura district. This method uses qualitative analysis, namely analyzing data in the form of descriptions that are relevant to the problem raised. Where this analytical tool will be used to describe the factors that affect the acceptance of the value of the regional gross domestic product of Jayapura Regency. The calculation results show that the manufacturing sector in 2016 contributed to the formation of the value of the gross regional domestic product by 4.98 percent while the remaining 95.02 percent. The results of the calculation of the contribution of the construction sector in 2017 decreased in percentage compared to 2016 of 0.7 percent. The results of the calculation of the contribution of the manufacturing sector in 2018 decreased in percentage but not at the nominal value, which was 4.79 percent. The results of the calculation of the contribution of the processing industry sector in 2019 increasingly showed a negative trend in percentage terms but the nominal value experienced a good increase where it increased by 4.49 percent or decreased by 0.30 percent from the previous year and still shows a positive trend. The results of the calculation of the contribution of the manufacturing industry sector in 2020 increasingly show a positive trend both in percentage and nominal value where the increase is 4.77 percent

Penelitian ini bertujuan untuk mengetahui besarnya kontribusi penerimaan pajak daerah terhadap penerimaan pendapatan asli daerah, dan intuk mengetahui faktor-faktor apa yang mempengaruhi penerimaan pajak daerah di Kabupaten Keerom. Hasil penelitian membuktikan bahwa : pada tahun 2011 jumlah kontribusi Pajak Daerah terhadap Pendapatan Asli Daerah Kabupaten Keerom adalah sebesar 33,98 persen. Pada tahun 2012 jumlah kontribusi Pajak Daerah terhadap Pendapatan Asli Daerah Kabupaten Keerom adalah sebesar 32,36 persen. Pada tahun 2013 jumlah kontribusi Pajak Daerah terhadap Pendapatan Asli Daerah Kabupaten Keerom adalah sebesar 31,77 persen, tahun 2014 jumlah kontribusi Pajak Daerah terhadap Pendapatan Asli Daerah Kabupaten Keerom adalah sebesar 30,81 persen, tahun 2015 jumlah kontribusi Pajak Daerah terhadap Pendapatan Asli Daerah Kabupaten Keerom adalah sebesar 34,18 persen. Faktor-faktor yang mempengaruhi penerimaan Pajak Daerah di Kabupaten Keerom antara lain : Masih terbatasnya personil atau aparat pemungut, Kualitas sumber daya aparat yang belum maksimal, Kesadaran wajib pajak masih sangat kurang, sosialisasi Peraturan Daerah belum menyeluruh kepada wajib pajak dan masih ada obyek pajak yang belum dipungut pajaknya karena status wajib pajaknya belum jelas.

Ikan mas merupakan komoditas unggulan yang banyak diminati masyarakat karena dapat memberikan keuntungan. Desa wutlarin kecamatan abenaho kabupaten yalimo merupakan salah satu sentra produksi ikan mas. Namun produksi ikan mas di daerah tersebut masih mengalami fluktuasi dan produksi ikan mas dengan kualitas yang tinggi masih rendah, sehingga perlu dilakukan penelitian tentang faktor-faktor yang mempengaruhi produksi ikan mas. Tujuan dari penelitian ini adalah mengidentifikasi faktor-faktor yang mempengaruhi produksi ikan mas di desa wutlarin kecamatan abenaho kabupaten yalimo. Model fungsi produksi dianalisis dengan menggunakan analisis regresi linear berganda, Hasil dari penelitian menunjukkan bahwa faktor-faktor yang berpengaruh nyata terhadap produksi ikan mas adalah bibit ikan, pakan ikan dan tenaga kerja.

CV Fajar Papua Abadi is a company that produces millstones and is located in the West Sentani District, Jayapura Regency. The type and source of data that the author uses in this writing is Primary Data which is data obtained directly from the source, namely CV Fajar Papua Abadi in West Sentani District, Jayapura Regency and secondary data is data obtained indirectly through books, magazines magazines and other guidebooks that can help writers in this research. Data collection methods used are observation, interviews and literature studies. The data analysis tool used in this paper is an analysis of labor productivity levels with the formula Labor Productivity = Output/Input x 100%. Based on the calculation results it can be explained that in 2018 a workforce of 10 people can produce 1,361 cubic millstones with a productivity level of 136.10%. In 2019 the number of workers increased to 12 people with millstone production of 1,472 cubic meters with a productivity of 122.66%. In 2020 the number of workers will increase to 14 people, able to produce 1,584 cubic millstones with a productivity rate of 113.14%. In 2021 the number of workers will increase to 15 people, able to produce 1,696 cubic meters of millstones with a productivity rate of 113.06%.

Ornamental plant commodities are commodities that are loved by many people because they have high artistic value. Realizing this, the farmers are trying to take advantage of the land they rent to develop the ornamental plant business. Ornamental plants that are sold apart from coming from the results of their own culture by farmers are also imported from outside the Papua region, namely from the island of Java. Until 2021, there are seven farmers who run ornamental plant businesses in the Heram District of Jayapura City. The number of consumers also varies, some from the city and district of Jayapura itself, some from other cities in the provinces of Papua and West Papua. This encourages farmers to produce more vigorously in order to meet these demand standards. In addition, the important thing that needs to be considered by ornamental plant farmers is the fertility and quality of ornamental plants. This study aims to analyze the income level of ornamental plant farmers. In connection with the objectives to be achieved, the analytical method used by the author in this thesis is the quantitative analysis method to calculate the income level of farmers, with the formula: = TR – TC. So this study shows that the total income of farmers obtained in 2021 ranges from Rp. 7,457,500 – Rp. 16,565,000. Where the highest level of income is respondent 2, namely Rp. 16,565,000 and the lowest is respondent 6, which is Rp. 7,457,500.